<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="ELGA_Stylesheet_v1.0.xsl"?>
<ClinicalDocument xmlns="urn:hl7-org:v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xmlns:lab="urn:oid:1.3.6.1.4.1.19376.1.3.2">
	<!--=======================================================================
		ELGA CDA Implementierungsleitfäden
		
		*** CDA Demo-Dokument ***
		Dies ist ein Beispielbefund. Bei den Inhalten handelt es sich um synthetische Mustertexte und keinesfalls um personenbezogene Echtdaten oder realistische Befunde.
		Das Beispiel veranschaulicht die technischen Möglichkeiten unter Verwendung eines Maximums der erlaubten Optionen.
		
		Spezieller Leitfaden: Laborbefund Version 2.06.2
		ELGA Interoperabilitätsstufe (EIS) "Full Support"
		
		auf der Basis des allgemeinen Leitfadens: HL7 Implementation Guide for CDA® R2: Allgemeiner Implementierungsleitfaden für ELGA CDA Dokumente
		
		Autoren:
			Alexander Mense, Fachhochschule Technikum Wien
			Matthias Frohner, Fachhochschule Technikum Wien
			Oliver Kuttin, ELGA GmbH
			Stefan Sabutsch, ELGA GmbH
			Carina Seerainer, ELGA GmbH
			
		Dokumentrevision:	2.06.2
		Datum: 				03.01.2017
		
		
		
		Die Kommentare in diesem CDA Dokument dienen lediglich der Orientierungshilfe und sind nicht 
		Bestandteil einer konkreten Implementierung!	
		=======================================================================
	-->
	<!--
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************

			Administrative Daten "CDA Header"

			siehe Allgemeiner Leitfaden, Kapitel 6

			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************
	-->
	<!--
			========================================================================
			========================================================================
			Dokumentenstruktur
			siehe Allgemeiner Leitfaden, Kapitel 6.2
			========================================================================
			========================================================================
	-->
	<!--
		Hoheitsbereich des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.2.3)
	-->
	<realmCode code="AT"/>

	<!--
		Dokumentformat (siehe Allgemeiner Leitfaden, Kapitel 6.2.4)
	-->
	<typeId root="2.16.840.1.113883.1.3" extension="POCD_HD000040"/>

	<!--
		ELGA Implementierungsleitfaden-Kennzeichnung (siehe Allgemeiner Leitfaden, Kapitel 6.2.5)
	-->

	<!-- Folgt dem Template des Allgemeinen Implementierungsleitfadens "CDA Dokumente im österreichischen Gesundheitswesen" -->
	<templateId root="1.2.40.0.34.11.1" assigningAuthorityName="ELGA"/>

	<!-- Folgt dem speziellen Implementierungsleitfaden Laborbefund -->
	<templateId root="1.2.40.0.34.11.4"/>

	<!-- Folgt dem Template des Speziellen Implementierungsleitfadens "Labor", ELGA Interoperabilitätsstufe (EIS) "full support" -->
	<templateId root="1.2.40.0.34.11.4.0.3" assigningAuthorityName="ELGA"/>

	<!--
		Dokumenten-Id (siehe Allgemeiner Leitfaden, Kapitel 6.2.6)
	-->
	<id root="1.2.40.0.34.99.4613.3.1" extension="122082.1" assigningAuthorityName="Amadeus Spital"/>

	<!--
		Dokumentenklasse (siehe Allgemeiner Leitfaden, Kapitel 6.2.7)
	-->
	<code code="11502-2" displayName="Laboratory report" codeSystem="2.16.840.1.113883.6.1"
		codeSystemName="LOINC"/>

	<!--
		Titel des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.2.8)
	-->
	<title>Allgemeiner Laborbefund</title>

	<!--
		Erstellungsdatum des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.2.9)
	-->
	<effectiveTime value="20150730130100+0200"/>

	<!--
		Vertraulichkeitscode (siehe Allgemeiner Leitfaden, Kapitel 6.2.10)
	-->
	<confidentialityCode code="N" displayName="normal" codeSystem="2.16.840.1.113883.5.25"
		codeSystemName="HL7:Confidentiality"/>

	<!--
		Sprachcode des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.2.11)
	-->
	<languageCode code="de-AT"/>

	<!--
		Versionierung des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.2.12)
	-->
	<setId root="1.2.40.0.34.99.4613.3.1" extension="122082" assigningAuthorityName="Amadeus Spital"/>

	<versionNumber value="1"/>

	<!--
		========================================================================
		Patient (siehe Allgemeiner Leitfaden, Kapitel 6.3.1)
		========================================================================
	-->
	<recordTarget>
		<patientRole>

			<!-- 
				IDs des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.2)
			-->
			<!-- Identifikation des Patienten im lokalen System -->
			<id root="1.2.40.0.34.99.4613.3.2" extension="121212"
				assigningAuthorityName="Amadeus Spital"/>

			<!-- Sozialversicherungsnummer des Patienten	-->
			<id root="1.2.40.0.10.1.4.3.1" extension="1111241261"
				assigningAuthorityName="Österreichische Sozialversicherung"/>

			<!--
				Adresse des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.3)
			-->
			<addr use="HP">
				<streetAddressLine>Musterstraße 13a</streetAddressLine>
				<postalCode>7000</postalCode>
				<city>Eisenstadt</city>
				<state>Burgenland</state>
				<country>AUT</country>
			</addr>

			<!--
				Kontaktdaten des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.4)
			-->
			<telecom use="H" value="tel:+43.2682.40400"/>
			<telecom use="MC" value="tel:+43.664.1234567"/>
			<telecom value="mailto:musterfrau@provider.at"/>

			<patient>

				<!-- 
					Name des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.5)
				-->
				<name>
					<prefix qualifier="AC">Dr.</prefix>
					<given>Maria</given>
					<given>Johanna</given>
					<family>Musterfrau</family>
					<family qualifier="BR">VorDerHeirat</family>
					<suffix qualifier="AC">BSc</suffix>
				</name>

				<!--
					Geschlecht des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.6)
				-->
				<administrativeGenderCode code="F" displayName="Female"
					codeSystem="2.16.840.1.113883.5.1" codeSystemName="HL7:AdministrativeGender"/>

				<!--
					Geburtsdatum des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.7)
				-->
				<birthTime value="19611224"/>

				<!--
					Familienstand des Patienten  (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.8)
				-->
				<maritalStatusCode code="M" displayName="Married" codeSystem="2.16.840.1.113883.5.2"
					codeSystemName="HL7:MaritalStatus"/>

				<!--
					Religionszugehörigkeit des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.9)
		
				 -->
				<religiousAffiliationCode code="101" codeSystem="2.16.840.1.113883.2.16.1.4.1"
					codeSystemName="HL7.AT:ReligionAustria" displayName="Römisch-Katholisch"/>

				<!-- 
					Geburtsort des Patienten (siehe Allgemeiner Leitfaden, Kapitel 6.3.1.2.14)
				-->
				<birthplace>
					<place>
						<addr>
							<streetAddressLine>Musterstraße 23b</streetAddressLine>
							<postalCode>8011</postalCode>
							<city>Graz</city>
							<state>Steiermark</state>
							<country>AUT</country>
						</addr>
					</place>
				</birthplace>
			</patient>
		</patientRole>
	</recordTarget>

	<!--
		========================================================================
		Verfasser des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.2)
		========================================================================
	-->
	<author>

		<!--
			Funktionscode (siehe Allgemeiner Leitfaden, Kapitel 6.3.2.3.1.1)
		-->
		<functionCode code="OA" codeSystem="1.2.40.0.34.99.4613.10.1"
			codeSystemName="Amadeus Spital - Funktionscodes" displayName="Diensthabender Oberarzt"/>

		<!--
			Zeitpunkt der Erstellung (z.B. des Diktats) (siehe Allgemeiner Leitfaden, Kapitel 6.3.2.3.1.2)
		-->
		<time value="20161201121500+0100"/>

		<assignedAuthor>

			<!--  
				Identifikation des Verfassers des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.2.3.1.3)
			-->
			<id root="1.2.40.0.34.99.4613.3.3" extension="1111"
				assigningAuthorityName="Amadeus Spital"/>

			<!--
				Fachrichtung des Verfassers des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.2.3.1.4)
			-->
			<code code="126" codeSystem="1.2.40.0.34.5.160" codeSystemName="ELGA_Fachärzte"
				displayName="Fachärztin/Facharzt für Mikrobiologisch-Serologische Labordiagnostik"/>

			<!--
				Kontaktdaten des Verfassers des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.2.3.1.5)
			-->
			<telecom use="WP" value="tel:+43.1.3453446.1111"/>

			<!--
				Personendaten des Verfassers des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.2.3.1.6)
			-->
			<assignedPerson>

				<!-- Name des Verfassers des Dokuments -->
				<name>
					<prefix>Dr.</prefix>
					<family>Isabella</family>
					<given>Stern</given>
				</name>

			</assignedPerson>


			<!--
				Organisation, in deren Auftrag der Verfasser des Dokuments die Dokumentation verfasst hat (siehe Allgemeiner Leitfaden, Kapitel 6.3.2.3.1.7)
			-->
			<representedOrganization>

				<!--
					ID der Organisation aus dem GDA Index
				-->
				<id root="1.2.40.0.34.99.4613" assigningAuthorityName="GDA Index"/>

				<!--
					Name der Organisation
				-->
				<name>Amadeus Spital - Labor</name>

				<!-- 
					Kontaktdaten der Organisation
				-->
				<telecom value="tel:+43.1.3453446.0"/>
				<telecom value="fax:+43.1.3453446.4674"/>
				<telecom value="mailto:info@amadeusspital.at"/>
				<telecom value="http://www.amadeusspital.at"/>

				<!--
					Adresse der Organisation
				-->
				<addr>
					<streetName>Währinger Gürtel</streetName>
					<houseNumber>18-20</houseNumber>
					<postalCode>1090</postalCode>
					<city>Wien</city>
					<state>Wien</state>
					<country>AUT</country>
				</addr>

			</representedOrganization>

		</assignedAuthor>
	</author>
	<author>
		<time value="20161201121500+0100"/>
		<assignedAuthor>
			<id nullFlavor="NI"/>
			<assignedAuthoringDevice>
				<manufacturerModelName>LAB-IS Manufacturer Ltd.</manufacturerModelName>
				<softwareName>LIS-Haydn</softwareName>
			</assignedAuthoringDevice>
			<representedOrganization>

				<!--
					ID der Organisation aus dem GDA Index
				-->
				<id root="1.2.40.0.34.99.4613" assigningAuthorityName="GDA Index"/>

				<!--
					Name der Organisation
				-->
				<name>Amadeus Spital - Labor</name>

				<!-- 
					Kontaktdaten der Organisation
				-->
				<telecom value="tel:+43.1.3453446.0"/>
				<telecom value="fax:+43.1.3453446.4674"/>
				<telecom value="mailto:info@amadeusspital.at"/>
				<telecom value="http://www.amadeusspital.at"/>

				<!--
					Adresse der Organisation
				-->
				<addr>
					<streetName>Währinger Gürtel</streetName>
					<houseNumber>18-20</houseNumber>
					<postalCode>1090</postalCode>
					<city>Wien</city>
					<state>Wien</state>
					<country>AUT</country>
				</addr>

			</representedOrganization>
		</assignedAuthor>
	</author>

	<!--
		========================================================================
		Personen der Dateneingabe (siehe Allgemeiner Leitfaden, Kapitel 6.3.3)
		========================================================================
	-->
	<dataEnterer>
		<!--
			Zeitpunkt des Schreibens (siehe Allgemeiner Leitfaden, Kapitel 6.3.3.2.2)
		-->
		<time value="20161201121500+0100"/>

		<!--
			Personendaten der schreibenden Person
		-->
		<assignedEntity>
			<!--
				ID der schreibenden Person
			-->
			<id nullFlavor="UNK"/>
			<addr>
				<streetAddressLine>Taborstrasse 16</streetAddressLine>
				<city>Wien</city>
				<postalCode>1020</postalCode>
				<country>AUT</country>
			</addr>
			<telecom use="WP" value="tel:01.47110815.123"/>
			<assignedPerson>
				<!--
					Name der schreibenden Person
				-->
				<name>
					<family>Bauer</family>
					<given>Maria</given>
				</name>
			</assignedPerson>
		</assignedEntity>
	</dataEnterer>

	<!--
		========================================================================
		Verwahrer des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.4)
		========================================================================
	-->
	<custodian>
		<assignedCustodian>
			<representedCustodianOrganization>

				<!--
					ID der Organisation aus dem GDA Index
				-->
				<id root="1.2.40.0.34.99.4613" assigningAuthorityName="GDA Index"/>

				<!--
					Name der Organisation
				-->
				<name>Amadeus Spital - Labor</name>

				<!-- 
					Kontaktdaten der Organisation
				-->
				<telecom value="tel:+43.1.3453446.0"/>

				<!--
					Adresse der Organisation
				-->
				<addr>
					<streetName>Währinger Gürtel</streetName>
					<houseNumber>18-20</houseNumber>
					<postalCode>1090</postalCode>
					<city>Wien</city>
					<state>Wien</state>
					<country>AUT</country>
				</addr>

			</representedCustodianOrganization>
		</assignedCustodian>
	</custodian>

	<!--
		+++++++++++++++++
		PRIMÄRER Empfänger
		+++++++++++++++++
	-->
	<informationRecipient typeCode="PRCP">

		<intendedRecipient>

			<!--
				Identifikation des beabsichtigten primären Empfängers aus dem GDA-Index (siehe Allgemeiner Leitfaden, Kapitel 6.3.5.2.2)
			-->
			<id nullFlavor="UNK"/>

			<!--
				Personendaten des beabsichtigten primären Empfängers (siehe Allgemeiner Leitfaden, Kapitel 6.3.5.2.3)
			-->
			<informationRecipient>
				<name>
					<prefix qualifier="AC">Univ.-Prof. Dr.</prefix>
					<given>Herbert</given>
					<family>Primärer-Empfänger</family>
				</name>
			</informationRecipient>

			<!--
				Organisation, der der beabsichtigte primäre Empfänger angehört (siehe Allgemeiner Leitfaden, Kapitel 6.3.5.2.4)
			-->
			<receivedOrganization>
				<!--
					Identifikation der Organisation des beabsichtigten primären Empfängers aus dem GDA-Index
				-->
				<id nullFlavor="UNK"/>

				<!--
					Name der Organisation des beabsichtigten primären Empfängers
				-->
				<name>Ordination Dr. Primärer-Empfänger</name>

				<!--
					Kontaktdaten der Organisation des beabsichtigten primären Empfängers
				-->
				<telecom value="tel:0512.1234567"/>
				<telecom value="fax:0512.1234567.11"/>
				<telecom value="mailto:office@ordination-empfaenger.at"/>
				<telecom value="http://www.ordination-empfaenger.at"/>
				<telecom value="me:2345678791"/>

				<!--
					Adresse der Organisation des beabsichtigten primären Empfängers
				-->
				<addr>
					<streetName>Musterstraße</streetName>
					<houseNumber>27/1/13</houseNumber>
					<postalCode>6020</postalCode>
					<city>Innsbruck</city>
					<country>AUT</country>
				</addr>
			</receivedOrganization>

		</intendedRecipient>
	</informationRecipient>

	<!--
		+++++++++++++++++
		SEKUNDÄRER Empfänger
		+++++++++++++++++
	 -->
	<informationRecipient typeCode="TRC">
		<intendedRecipient>

			<!--
				Identifikation des beabsichtigten sekundären Empfängers aus dem GDA-Index (siehe Allgemeiner Leitfaden, Kapitel 6.3.5.2.2)
			-->
			<id nullFlavor="UNK"/>

			<!--
				Personendaten des beabsichtigten sekundären Empfängers (siehe Allgemeiner Leitfaden, Kapitel 6.3.5.2.3)
			-->
			<informationRecipient>
				<name>
					<prefix qualifier="AC">Dr.</prefix>
					<given>Walter</given>
					<family>Empfänger Sekundär</family>
				</name>
			</informationRecipient>

			<!--
				Organisation, der der beabsichtigte primäre Empfänger angehört (siehe Allgemeiner Leitfaden, Kapitel 6.3.5.2.4)
			-->
			<receivedOrganization>
				<!--
					Identifikation der Organisation des beabsichtigten sekundären Empfängers aus dem GDA-Index
				-->
				<id nullFlavor="UNK"/>

				<!--
					Name der Organisation des beabsichtigten sekundären Empfängers
				-->
				<name>Ordination Dr. Sekundär</name>

				<!--
					Kontaktdaten der Organisation des beabsichtigten sekundären Empfängers
				-->
				<telecom value="tel:0512.1234567"/>
				<telecom value="fax:0512.1234567.11"/>
				<telecom value="mailto:office@ordination-sekundaer.at"/>
				<telecom value="http://www.ordination-sekundaer.at"/>
				<telecom value="me:12345678792"/>

				<!--
					Adresse der Organisation des beabsichtigten sekundären Empfängers
				-->
				<addr>
					<streetName>Sekundärstraße</streetName>
					<houseNumber>22</houseNumber>
					<postalCode>6020</postalCode>
					<city>Innsbruck</city>
					<country>AUT</country>
				</addr>
			</receivedOrganization>

		</intendedRecipient>
	</informationRecipient>

	<!--
		========================================================================
		Rechtlicher Unterzeichner (siehe Allgemeiner Leitfaden, Kapitel 6.3.6)
		========================================================================
	-->
	<legalAuthenticator>
		<!-- 
			Zeitpunkt der Unterzeichnung (siehe Allgemeiner Leitfaden, Kapitel 6.3.6.2.2)
		-->
		<time value="20161201101500+0100"/>

		<!-- 
			Signaturcode (siehe Allgemeiner Leitfaden, Kapitel 6.3.6.2.3)
		-->
		<signatureCode code="S"/>
		<!--
			Personen- und Organisationsdaten des Rechtlichen Unterzeichners des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.6.2.4)
		-->
		<assignedEntity>

			<!--  
				Identifikation des Rechtlichen Unterzeichners des Dokuments
			-->
			<id root="1.2.40.0.34.99.4613.3.3" extension="2222"
				assigningAuthorityName="Amadeus Spital"/>

			<!--
				Adresse des Unterzeichners
			-->
			<addr>
				<streetName>Währinger Gürtel</streetName>
				<houseNumber>18-20</houseNumber>
				<postalCode>1090</postalCode>
				<city>Wien</city>
				<state>Wien</state>
				<country>AUT</country>
			</addr>

			<!--
				Kontaktdaten des Rechtlichen Unterzeichners des Dokuments 
			-->
			<telecom use="WP" value="tel:+43.1.3453446.2222"/>

			<!--
				Personendaten des Rechtlichen Unterzeichners des Dokuments 
			-->
			<assignedPerson>

				<!-- Name des Rechtlichen Unterzeichners des Dokuments -->
				<name>
					<prefix>Univ.-Prof.Dr.</prefix>
					<family>Sigrid</family>
					<given>Kollmann</given>
				</name>

			</assignedPerson>


			<!--
				Organisation, in deren Auftrag der Rechtlichen Unterzeichners des Dokuments die Dokumentation unterzeichnet hat
			-->
			<representedOrganization>

				<!--
					ID der Organisation aus dem GDA Index
				-->
				<id root="1.2.40.0.34.99.4613" assigningAuthorityName="GDA Index"/>

				<!--
					Name der Organisation
				-->
				<name>Amadeus Spital - Labor</name>

				<!-- 
					Kontaktdaten der Organisation
				-->
				<telecom value="tel:+43.1.3453446.0"/>
				<telecom value="fax:+43.1.3453446.4674"/>
				<telecom value="mailto:info@amadeusspital.at"/>
				<telecom value="http://www.amadeusspital.at"/>

				<!--
					Adresse der Organisation
				-->
				<addr>
					<streetName>Währinger Gürtel</streetName>
					<houseNumber>18-20</houseNumber>
					<postalCode>1090</postalCode>
					<city>Wien</city>
					<state>Wien</state>
					<country>AUT</country>
				</addr>

			</representedOrganization>

		</assignedEntity>
	</legalAuthenticator>

	<!--
		========================================================================
		Weitere Unterzeichner (siehe Allgemeiner Leitfaden, Kapitel 6.3.7)
		========================================================================
	-->
	<authenticator>
		<!-- IHE TemplateId für laboratory-result-verifier -->
		<templateId root="1.3.6.1.4.1.19376.1.3.3.1.5"/>
		<!-- 
			Zeitpunkt der Unterzeichnung (siehe Allgemeiner Leitfaden, Kapitel 6.3.7.2.2)
		-->
		<time value="20161201121500+0100"/>

		<!-- 
			Signaturcode (siehe Allgemeiner Leitfaden, Kapitel 6.3.7.2.3)
		-->
		<signatureCode code="S"/>

		<!--
			Personen- und Organisationsdaten des Weiteren Unterzeichners des Dokuments (siehe Allgemeiner Leitfaden, Kapitel 6.3.7.2.4)
		-->
		<assignedEntity>

			<!--  
				Identifikation des Weiteren Unterzeichners des Dokuments
			-->
			<id root="1.2.40.0.34.99.4613.3.3" extension="3333"
				assigningAuthorityName="Amadeus Spital"/>

			<!--
				Adresse des Unterzeichners - laut IHE Lab TF Vol3 verpflichtend
			-->
			<addr>
				<streetName>Währinger Gürtel</streetName>
				<houseNumber>18-20</houseNumber>
				<postalCode>1090</postalCode>
				<city>Wien</city>
				<state>Wien</state>
				<country>AUT</country>
			</addr>

			<!--
				Kontaktdaten des Weiteren Unterzeichners des Dokuments - laut IHE Lab TF Vol3 verpflichtend
			-->
			<telecom use="WP" value="tel:+43.1.3453446.3333"/>

			<!--
				Personendaten des Weiteren Unterzeichners des Dokuments 
			-->
			<assignedPerson>

				<!-- Name des Weiteren Unterzeichners des Dokuments -->
				<name>
					<prefix>Univ.-Prof.Dr.</prefix>
					<family>Sigrid</family>
					<given>Kollmann</given>
				</name>
			</assignedPerson>


			<!--
				Organisation, in deren Auftrag der Weiteren Unterzeichner des Dokuments die Dokumentation unterzeichnet hat 
			-->
			<representedOrganization>

				<!--
					ID der Organisation aus dem GDA Index
				-->
				<id root="1.2.40.0.34.99.4613" assigningAuthorityName="GDA Index"/>

				<!--
					Name der Organisation
				-->
				<name>Amadeus Spital - Labor</name>

				<!-- 
					Kontaktdaten der Organisation
				-->
				<telecom value="tel:+43.1.3453446.0"/>
				<telecom value="fax:+43.1.3453446.4674"/>
				<telecom value="mailto:info@amadeusspital.at"/>
				<telecom value="http://www.amadeusspital.at"/>

				<!--
					Adresse der Organisation
				-->
				<addr>
					<streetName>Währinger Gürtel</streetName>
					<houseNumber>18-20</houseNumber>
					<postalCode>1090</postalCode>
					<city>Wien</city>
					<state>Wien</state>
					<country>AUT</country>
				</addr>

			</representedOrganization>
		</assignedEntity>
	</authenticator>

	<!-- 
		Medizinischer Ansprechpartner (siehe Allgemeiner Leitfaden, Kapitel 6.3.8.2.2)
	-->
	<participant typeCode="CALLBCK">
		<templateId root="1.2.40.0.34.11.1.1.1"/>
		<associatedEntity classCode="PROV">
			<!--
				Verpflichtende Telefonnummer des fachlichen Ansprechpartners
			-->
			<telecom use="WP" value="tel:+43.1.3453446.1"/>
			<associatedPerson>
				<!--
					Name des Fachlichen Ansprechpartners
				-->
				<name>
					<given>Sekretariat</given>
					<family>Labor</family>
				</name>
			</associatedPerson>
			<!--
				Organisation des Fachlichen Ansprechpartners
			-->
			<scopingOrganization>

				<!--
					ID der Organisation aus dem GDA Index
				-->
				<id root="1.2.40.0.34.99.4613" assigningAuthorityName="GDA Index"/>

				<!--
					Name der Organisation
				-->
				<name>Amadeus Spital - Labor</name>

				<!-- 
					Kontaktdaten der Organisation
				-->
				<telecom value="tel:+43.1.3453446.0"/>
				<telecom value="fax:+43.1.3453446.4674"/>
				<telecom value="mailto:info@amadeusspital.at"/>
				<telecom value="http://www.amadeusspital.at"/>
				<!--
					Adresse der Organisation
				-->
				<addr>
					<streetName>Währinger Gürtel</streetName>
					<houseNumber>18-20</houseNumber>
					<postalCode>1090</postalCode>
					<city>Wien</city>
					<state>Wien</state>
					<country>AUT</country>
				</addr>
			</scopingOrganization>
		</associatedEntity>
	</participant>

	<!-- 
		Hausarzt (siehe Allgemeiner Leitfaden, Kapitel 6.3.8.4.2)
	-->
	<participant typeCode="IND">
		<templateId root="1.2.40.0.34.11.1.1.3"/>
		<functionCode code="PCP" displayName="primary care physician"
			codeSystem="2.16.840.1.113883.5.88" codeSystemName="HL7:ParticipationFunction"/>
		<associatedEntity classCode="PROV">

			<!--
				Identifikation des Hausarztes (Person) aus dem GDA-Index
			-->
			<id root="1.2.40.0.34.99.2" assigningAuthorityName="GDA Index"/>

			<!--
				Personendaten des Hausarztes
			-->
			<associatedPerson>
				<name>
					<prefix qualifier="AC">Dr.</prefix>
					<given>Herbert</given>
					<family>Mustermann</family>
				</name>
			</associatedPerson>

			<!--
				Organisation, der der Hausarzt angehört
			-->
			<scopingOrganization>
				<!--
					Identifikation der Organisation des Hausarztes
				-->
				<id nullFlavor="UNK"/>

				<!--
					Name der Organisation des Hausarztes
				-->
				<name>Allgemeinmedizinische Praxis Dr. Mustermann</name>

				<!--
					Kontaktdaten der Organisation Hausarztes
				-->
				<telecom value="tel:0512.1234567"/>
				<telecom value="fax:0512.1234567.11"/>
				<telecom value="http://www.praxis-mustermann.at"/>
				<telecom value="me:1234567899"/>

				<!--
					Adresse der Organisation des Hausarztes
				-->
				<addr>
					<streetName>Sekundärstraße</streetName>
					<houseNumber>22</houseNumber>
					<postalCode>6020</postalCode>
					<city>Innsbruck</city>
					<country>AUT</country>
				</addr>
			</scopingOrganization>

		</associatedEntity>
	</participant>

	<!-- 
		Versicherter/Versicherung (siehe Allgemeiner Leitfaden, Kapitel 6.3.8.7.3)
	-->
	<participant typeCode="HLD">
		<templateId root="1.2.40.0.34.11.1.1.6"/>
		<associatedEntity classCode="POLHOLD">

			<!-- Sozialversicherungsnummer des Patienten	-->
			<id root="1.2.40.0.10.1.4.3.1" extension="1111241249"
				assigningAuthorityName="Österreichische Sozialversicherung"/>

			<!-- Code SELF (Patient ist selbst der Versicherungsnehmer) -->
			<code code="SELF" codeSystem="2.16.840.1.113883.5.111" codeSystemName="HL7:RoleCode"
				displayName="self"/>

			<!-- Versicherungsgesellschaft -->
			<scopingOrganization>
				<name>Sozialversicherung der gew. Wirtschaft</name>
				<telecom value="tel:01.54654.0"/>
				<telecom value="fax:01.54654.385"/>
				<telecom value="http://esv-sva.sozvers.at"/>
				<addr>
					<streetName>Wiedner Hauptstraße</streetName>
					<houseNumber>84-86</houseNumber>
					<postalCode>1051</postalCode>
					<city>Wien</city>
					<state>Wien</state>
					<country>AUT</country>
				</addr>
			</scopingOrganization>

		</associatedEntity>
	</participant>

	<!-- 
		Auftraggeber bzw. Ordering Provider laut IHE
	-->
	<participant typeCode="REF">

		<!-- IHE template für Ordering Provider -->
		<templateId root="1.3.6.1.4.1.19376.1.3.3.1.6"/>

		<time value="20161201071500+0100"/>
		<associatedEntity classCode="PROV">
			<id root="1.2.40.0.34.99.1" assigningAuthorityName="GDA Index"/>
			<addr>
				<streetAddressLine>Taborstraße 16</streetAddressLine>
				<city>Wien</city>
				<postalCode>1020</postalCode>
				<country>AUT</country>
			</addr>
			<telecom use="WP" value="tel:01.47110815.123"/>
			<associatedPerson>
				<name>
					<prefix qualifier="AC">Dr.</prefix>
					<family>Frank</family>
					<given>Dieter</given>
				</name>
			</associatedPerson>
			<scopingOrganization>
				<id root="1.2.40.0.34.99.1" assigningAuthorityName="GDA Index"/>
				<name>Musterklinikum Unterstadt</name>
				<telecom use="WP" value="tel:01.47110815"/>
			</scopingOrganization>
		</associatedEntity>
	</participant>

	<!-- Order / Zuweisung und Auftragsmanagement -->
	<inFulfillmentOf typeCode="FLFS">
		<order classCode="ACT" moodCode="RQO">
			<id extension="121201-023" root="2.16.840.1.113883.2.16.1.99.3.1"
				assigningAuthorityName="Musterklinikum Unterstadt"/>
		</order>
	</inFulfillmentOf>

	<!--
			========================================================================
			========================================================================
			Dokumentation der Gesundheitsdienstleistung
			siehe Allgemeiner Leitfaden, Kapitel 6.5
			========================================================================
			========================================================================
	-->
	<documentationOf>
		<serviceEvent>

			<!--
				Code der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.2)
			-->
			<code code="300" displayName="Hämatologie" codeSystem="1.2.40.0.34.5.11"
				codeSystemName="ELGA_LaborparameterErgaenzung"/>
			<!--
				Zeitraum der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.3)
			-->
			<effectiveTime>
				<!-- Zeitpunkt der Erfassung des Auftrags in Labor EDV -->
				<low value="20161201081400+0100"/>
				<!-- Abschlusszeit des Auftrags, welche in der Regel mit der medizinischen Freigabe des Auftrags ident ist -->
				<high value="20161201121500+0100"/>
			</effectiveTime>
		</serviceEvent>
	</documentationOf>
	<documentationOf>
		<serviceEvent>

			<!--
				Code der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.2)
			-->
			<code code="400" displayName="Gerinnung/Hämostaseologie" codeSystem="1.2.40.0.34.5.11"
				codeSystemName="ELGA_LaborparameterErgaenzung"/>

			<!--
				Zeitraum der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.3)
			-->
			<effectiveTime>
				<!-- Zeitpunkt der Erfassung des Auftrags in Labor EDV -->
				<low value="20161201081400+0100"/>
				<!-- Abschlusszeit des Auftrags, welche in der Regel mit der medizinischen Freigabe des Auftrags ident ist -->
				<high value="20161201121500+0100"/>
			</effectiveTime>
			<performer typeCode="PRF">
				<templateId root="1.3.6.1.4.1.19376.1.3.3.1.7"/>
				<time>
					<low value="20161201061325+0100"/>
					<high value="20161201161500+0100"/>
				</time>
				<assignedEntity>
					<id root="1.2.40.0.34.99.111.0.2" extension="55146"/>
					<addr>
						<streetAddressLine>Laborplatz 1</streetAddressLine>
						<city>Wien</city>
						<postalCode>1210</postalCode>
						<country>AUT</country>
					</addr>
					<telecom use="WP" value="tel:+43.1.3453446.1"/>
					<assignedPerson>
						<name>
							<prefix qualifier="AC">Dr</prefix>
							<given>Larissa</given>
							<family>Laborleiter</family>
						</name>
					</assignedPerson>
					<representedOrganization>
						<id root="1.2.40.0.34.3.1.999"/>
						<name>Zentrallabor</name>
						<telecom use="WP" value="tel:+43.1.3453446.1"/>
						<addr>
							<streetAddressLine>Laborplatz 1</streetAddressLine>
							<city>Wien</city>
							<postalCode>1210</postalCode>
							<country>AUT</country>
						</addr>
					</representedOrganization>
				</assignedEntity>
			</performer>

		</serviceEvent>
	</documentationOf>
	<documentationOf>
		<serviceEvent>

			<!--
				Code der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.2)
			-->
			<code code="500" displayName="Klinische Chemie/Proteindiagnostik"
				codeSystem="1.2.40.0.34.5.11" codeSystemName="ELGA_LaborparameterErgaenzung"/>

			<!--
				Zeitraum der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.3)
			-->
			<effectiveTime>
				<!-- Zeitpunkt der Erfassung des Auftrags in Labor EDV -->
				<low value="20161201081400+0100"/>
				<!-- Abschlusszeit des Auftrags, welche in der Regel mit der medizinischen Freigabe des Auftrags ident ist -->
				<high value="20161201121500+0100"/>
			</effectiveTime>
		</serviceEvent>
	</documentationOf>
	<documentationOf>
		<serviceEvent>

			<!--
				Code der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.2)
			-->
			<code code="600" displayName="Hormone/Vitamine/Tumormarker"
				codeSystem="1.2.40.0.34.5.11" codeSystemName="ELGA_LaborparameterErgaenzung"/>

			<!--
				Zeitraum der Gesundheitsdienstleistung (siehe Allgemeiner Leitfaden, Kapitel 6.5.1.2.3)
			-->
			<effectiveTime>
				<!-- Zeitpunkt der Erfassung des Auftrags in Labor EDV -->
				<low value="20161201081400+0100"/>
				<!-- Abschlusszeit des Auftrags, welche in der Regel mit der medizinischen Freigabe des Auftrags ident ist -->
				<high value="20161201121500+0100"/>
			</effectiveTime>
		</serviceEvent>
	</documentationOf>
	<componentOf>
		<encompassingEncounter>

			<!--
				Aufenthaltszahl (siehe Allgemeiner Leitfaden, Kapitel 6.8.1.2.2)
			-->
			<id root="1.2.40.0.34.99.4613.3.4" extension="Az123456"
				assigningAuthorityName="Amadeus Spital"/>

			<!--
				Codierung des Patientenkontakts (siehe Allgemeiner Leitfaden, Kapitel 6.8.1.2.3)
			-->
			<code code="IMP" displayName="inpatient encounter" codeSystem="2.16.840.1.113883.5.4"
				codeSystemName="HL7:ActCode"/>

			<!--
				Zeitraum des Patientenkontakts (siehe Allgemeiner Leitfaden, Kapitel 6.8.1.2.4)
			-->
			<effectiveTime>
				<!-- Im Falle des Entlassungsbriefs: Zeitpunkt der Aufnahme des Patienten in den stationären Aufenthalt -->
				<low value="20160730104600+0200"/>
				<!-- Im Falle des Entlassungsbriefs: Zeitpunkt der administrativen Entlassung des Patienten aus dem stationären Aufenthalt -->
				<high value="20160817120000+0100"/>
			</effectiveTime>

			<!--
				Verantwortliche Person für den Patientenkontakt (siehe Allgemeiner Leitfaden, Kapitel 6.8.1.2.5)
			-->
			<responsibleParty>
				<assignedEntity>

					<!--  
						Identifikation der Verantwortlichen Person für den Patientenkontakt
					-->
					<id root="1.2.40.0.34.99.4613.3.3" extension="2222"
						assigningAuthorityName="Amadeus Spital"/>

					<!--
						Kontaktdaten der Verantwortlichen Person für den Patientenkontakt
					-->
					<telecom use="WP" value="tel:+43.6138.3453446.2222"/>

					<!--
						Personendaten der Verantwortlichen Person für den Patientenkontakt
					-->
					<assignedPerson>

						<!-- Name der Verantwortlichen Person für den Patientenkontakt -->
						<name>
							<prefix>Univ.-Prof.Dr.</prefix>
							<given>Sigrid</given>
							<family>Kollmann</family>
						</name>

					</assignedPerson>

				</assignedEntity>
			</responsibleParty>

			<!--
				Organisation, in deren Verantwortungsbereich der Patientenkontakt stattfand (siehe Allgemeiner Leitfaden, Kapitel 6.8.1.2.6)
			-->
			<location>
				<healthCareFacility>
					<serviceProviderOrganization>

						<!--
							ID der Organisation aus dem GDA Index
						-->
						<id root="1.2.40.0.34.99.4613" assigningAuthorityName="GDA Index"/>

						<!--
							Name der Organisation
						-->
						<name>Amadeus Spital - Chirurgische Abteilung</name>

						<!-- 
							Kontaktdaten der Organisation
						-->
						<telecom value="tel:+43.6138.3453446.0"/>
						<telecom value="fax:+43.6138.3453446.4674"/>
						<telecom value="mailto:info@amadeusspital.at"/>
						<telecom value="http://www.amadeusspital.at"/>

						<!--
							Adresse der Organisation
						-->
						<addr>
							<streetName>Mozartgasse</streetName>
							<houseNumber>1-7</houseNumber>
							<postalCode>5350</postalCode>
							<city>St.Wolfgang</city>
							<state>Salzburg</state>
							<country>AUT</country>
						</addr>

					</serviceProviderOrganization>
				</healthCareFacility>
			</location>

		</encompassingEncounter>
	</componentOf>


	<!--
			========================================================================
			========================================================================
			Bezug zu vorgehenden Dokumenten
			siehe Allgemeiner Leitfaden, Kapitel 6.6
			========================================================================
			========================================================================
	-->
	<!-- relatedDocument -->
	<!-- Nicht angewandt in diesem Demo-Dokument -->


	<!--
			========================================================================
			========================================================================
			Einverständniserklärung
			siehe Allgemeiner Leitfaden, Kapitel 6.7
			========================================================================
			========================================================================
	-->
	<!-- authorization -->

	<!-- Wird in ELGA nicht verwendet -->


	<!--
			========================================================================
			========================================================================
			Informationen zum Patientenkontakt
			siehe Allgemeiner Leitfaden, Kapitel 6.8
			
			Entfällt für Laborleistungen
			========================================================================
			========================================================================
	-->


	<!--
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			
			Medizinische Inhalte "CDA Body"
			
			siehe Allgemeiner Leitfaden, Kapitel 7
			
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************
			************************************************************************************************************************************************
	-->
	<component typeCode="COMP">
		<structuredBody classCode="DOCBODY">
			<component typeCode="COMP">
				<section>
					<templateId root="1.2.40.0.34.11.1.2.1" assigningAuthorityName="ELGA"/>
					<code code="BRIEFT" displayName="Brieftext" codeSystem="1.2.40.0.34.5.40"
						codeSystemName="ELGA_Sections"/>
					<title>Brieftext</title>
					<text>
						<content styleCode="Italics"> Dies ist ein Beispielbefund. Bei den Inhalten
							handelt es sich um synthetische Mustertexte und keinesfalls um
							personenbezogene Echtdaten oder realistische Befunde. Das Beispiel
							veranschaulicht die technischen Möglichkeiten unter Verwendung eines
							Maximums der erlaubten Optionen. </content>
					</text>
					<!--
							Logo
					-->
					<entry>
						<observationMedia classCode="OBS" moodCode="EVN">
							<!-- ELGA Logo-Entry -->
							<templateId root="1.2.40.0.34.11.1.3.2" assigningAuthorityName="ELGA"/>
							<value mediaType="image/jpeg" representation="B64">
								/9j/4AAQSkZJRgABAgEBLAEsAAD/4QvSRXhpZgAATU0AKgAAAAgABwESAAMAAAABAAEAAAEaAAUA
								AAABAAAAYgEbAAUAAAABAAAAagEoAAMAAAABAAIAAAExAAIAAAAUAAAAcgEyAAIAAAAUAAAAhodp
								AAQAAAABAAAAnAAAAMgAAAErAAAAAQAAASsAAAABQWRvYmUgUGhvdG9zaG9wIDcuMAAyMDExOjA3
								OjA3IDIzOjU5OjU5AAAAAAOgAQADAAAAAf//AACgAgAEAAAAAQAAA3OgAwAEAAAAAQAAAVEAAAAA
								AAAABgEDAAMAAAABAAYAAAEaAAUAAAABAAABFgEbAAUAAAABAAABHgEoAAMAAAABAAIAAAIBAAQA
								AAABAAABJgICAAQAAAABAAAKpAAAAAAAAABIAAAAAQAAAEgAAAAB/9j/4AAQSkZJRgABAgEASABI
								AAD/7QAMQWRvYmVfQ00AAv/uAA5BZG9iZQBkgAAAAAH/2wCEAAwICAgJCAwJCQwRCwoLERUPDAwP
								FRgTExUTExgRDAwMDAwMEQwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwBDQsLDQ4NEA4OEBQO
								Dg4UFA4ODg4UEQwMDAwMEREMDAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDP/AABEI
								ADEAgAMBIgACEQEDEQH/3QAEAAj/xAE/AAABBQEBAQEBAQAAAAAAAAADAAECBAUGBwgJCgsBAAEF
								AQEBAQEBAAAAAAAAAAEAAgMEBQYHCAkKCxAAAQQBAwIEAgUHBggFAwwzAQACEQMEIRIxBUFRYRMi
								cYEyBhSRobFCIyQVUsFiMzRygtFDByWSU/Dh8WNzNRaisoMmRJNUZEXCo3Q2F9JV4mXys4TD03Xj
								80YnlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3EQACAgECBAQDBAUGBwcG
								BTUBAAIRAyExEgRBUWFxIhMFMoGRFKGxQiPBUtHwMyRi4XKCkkNTFWNzNPElBhaisoMHJjXC0kST
								VKMXZEVVNnRl4vKzhMPTdePzRpSkhbSVxNTk9KW1xdXl9VZmdoaWprbG1ub2JzdHV2d3h5ent8f/
								2gAMAwEAAhEDEQA/APVULIu9GrfEy5rAPN7m1D/q0SRJE6jkKj1rJbj4rJBc+26plTBpueHtt27j
								9D2VPSJpTQr6xmuxarnOYC+sPd7YAmm693f96pqLZ1h9bW3b2vpse1tWwA+pvNTq21OnY71an2Ob
								7tn+EWNWzqVmDSW+lVUKZjR7nBtFzdsu3fvbHe2v6asdPwKrmYtxLyx7KnV0l+lbCaC1jNd/6Ngs
								+hs/m03iPQfap2ej9Ts6hSXWUmpzA2TIIcSNY2k7ForN6O7Hx8FtctqjXaTB+jrO73fmP+l+4r7b
								anHa17SfAEE6c/8AVIi61UzSQM3MpwcS3Lvn06WlxDRLnH82upn+Ettd+jqr/wAJZ7FB/UsRnTXd
								U37sRlJyS9okmtrfVLmt/qIqbSSrZHUcPG6fZ1K60DDqqN7rRJHphvqb2hvud7P3U+VnUYmC/Otn
								0q2b4aJc6foV1s/wl1rv0dVf+Et/RpKbCSp3dTqZ0wdRpY66t7WOrYIa53qFra2/pNvp+5/u3/QQ
								2dVe2+qjOxbMQ3u2U2kssrc+NzazZS5zqnva32esyut/816nrbK0lOgks6nqWZfcRXgvOOLn0m82
								Vj+be6myz092/bvY5Ef1OpnTsjqBY414vr7mCNx+zvsqft1/P9H2JKbqSz/2pc7qFmLTiPtooe2r
								IyA5g2Pe1lzf0Lneo+pld1Xq2fy/8J+kWgkp/9D0fpZJfnEkk/anjXXQNqAUuq0U34ZquYLGGyrQ
								+PqVw5pHua9v5j2/QUOlfSzv/DT/APqa1YzGPfRtYNx31mB4B7HO/wCiElPKjptlVbjiZdtRLC4V
								2fpK9ag8sdrXZt12e59j09GVnYwwbW112YtzavQb9FzAR6tdDnAN9rGs9P1tt3/Cp2X5OUyw4hbX
								VSHVPseNzi5lfpubt/wbXOps2+z/ADEfpmLjP+x3hrnCyupzGPcXBjHEbaW/yWNTOvp/sU2XkOpq
								fqS/Ha4lwgkuryyXOH7zkZpLchpaYPqkSPA2YwchO1opJ/7jN/8APWWi/wCHb/xv/ozFT1JepUZW
								bm4+NU70cfGjKusfXvY94LmYdA3FrH+la12Y/wDPptow/wDSqp6Gfi42Z0xzTdXbYx+PdVWWt2ZV
								wblVPa3c1v2ax91z/wDupb/wVqy/rH1nL6F9YH53UenXdS6NZj110W0APGM9pe7K9Sh/6NtmRvo/
								TWuq/R1sZW/+cVvoeb0Pr9XUrun5ZzMC2qtjsCzc047/ANO6z02PDH1V3+ozZ6fs9Sj9BZ+j/Rqk
								N+vCyhnnAcHHp1Vv21r3AFrt5c9mCHfS/Vszdl/R9lH2ShApx+oZlHTMMB2NXh1MuyX217g62r9D
								i07X7Wu22sfm/wDBPow/9MuY6Fdi2/4sGusc+3qj6sj7MaS9+Wcj1bvsfomicvf6no/yPS/nf0G9
								WvrLiZ7/AKq9Cf1n/lUZWJTlvY4tcW2u9O+myykt3b2n9Ns/R+r/ADaVKt3LqMzEw87DsFmSz1GZ
								dNldR+jZcLcnHZXVv3WU2ssv/wBI+q//AINW8vKd1B9GHi49xb61V119tT6a620WMyf+1Lan3WXO
								q9KtlLX/AOlsQbOh47uq5XUra5bTisx8OrUVsDRbZbZXVPpb3esyv1Nn6P0/66536odJb1P6ndB6
								iXWfb8TI9UXBztz2DLeL6r9f01foN9u/+bSpT0XT2Yld722szGZBy73ABuWKfddY+t/s/UvSfW5j
								v9EhXvtPTc/pBx7xlZFuRXURU41ubk2WW15H2lgdQ2muvI/Tb7PUZ6dlfp7/AEvUrfXPqGZ0+3p/
								VqLizB6Vl1/tKsCWuryQcZz3n97Frt3+n/3Zrs/waufXmut/1T6nYR76cd9tLwSHNewb67K3shzf
								clSWXUHu/aLLMKi+rqVd1VbnCtwpyMclvq/aL2Ndjupx6bsiyj1X15ONlV/ov6R6OZuLM+rlFGP0
								HAFTQwOxqnvPcuLGue+x7vc97v33rTSU/wD/0fSjgFuTbkUXvp9eDbWA1zC9o2etD2Oe2z02srd7
								/T/R/QQ8t2Xi1stF5sm6mssc1sFttteO/wCgGu+jb7VfVLq7bThbqq3WuqtotLGauLarqr7djfz3
								+lW/az89JTS6j9XcV9lmfiWPw8oMO70yPTshraw26k/8HXs/R+kq/RiLL8elzC2s41WRjlv5rHe9
								tVmn+DcHV7v9a7nUOsY4roqpsDftdooNj2PAaHsss4LP5x/p+lXu/wALZ/1tSwrelYVQZU86Nayd
								j/otG1rR7fopvXT6qTnpdBYxm94DKxUNRwG2V/u/S23uRGYNLLPUlzjJIDoiSWO8PzfSarDXBzQ4
								cESPmnTlOS3D6vj9Yys2myq3CyRUPsji4ODq2ua/Iqt91bX2fo6/R9L9J6Vf6xSqtfQX09Zz+u42
								NVTkZOKMavHDgwWO3G1+TmvrY9rLHO9Kr9F6/wChr3/pPU9GjoEklOD9Suj9R6F0CjpHUBU6zFL9
								ttD3Pa4WPff/AIWul7HN9Xao/XDpPV+r42Jj9NbR+gyqsux+RY5gPou3tpYKqb/5x35/5i6BJJTU
								y3ZzsNwx6WOyLK3AMsftYHEe3fY1j3bN30tjFlfU7pPVOg/V/H6RmMqstxBbttpsJY/e997P52qp
								7P53YugSSU4F3RsvqHRs7H6pj0/bc0XMcKbXmva/247vUtrZ76KvRZu+z/To9VVbOjfWG76kO+r9
								zcZ3UDjDD9cWv9EsDfSbe53oetv9P8z0f51dSkkp53qPT/rC/wCrLejdNbRXlOxmYtmTba4Ma0Mb
								Ve+kV02vse5u9tW/0v8AS/8ABLokkklP/9L1VJfKqSSn6qSXyqkkp+qkl8qpJKfqpJfKqSSn6qSX
								yqkkp+qkl8qpJKfqpJfKqSSn6qSXyqkkp//Z/+0QkFBob3Rvc2hvcCAzLjAAOEJJTQQlAAAAAAAQ
								AAAAAAAAAAAAAAAAAAAAADhCSU0D7QAAAAAAEAEr/9kAAQACASv/2QABAAI4QklNBCYAAAAAAA4A
								AAAAAAAAAAAAP4AAADhCSU0EDQAAAAAABAAAAB44QklNBBkAAAAAAAQAAAAeOEJJTQPzAAAAAAAJ
								AAAAAAAAAAABADhCSU0ECgAAAAAAAQAAOEJJTScQAAAAAAAKAAEAAAAAAAAAAjhCSU0D9QAAAAAA
								SAAvZmYAAQBsZmYABgAAAAAAAQAvZmYAAQChmZoABgAAAAAAAQAyAAAAAQBaAAAABgAAAAAAAQA1
								AAAAAQAtAAAABgAAAAAAAThCSU0D+AAAAAAAcAAA/////////////////////////////wPoAAAA
								AP////////////////////////////8D6AAAAAD/////////////////////////////A+gAAAAA
								/////////////////////////////wPoAAA4QklNBAAAAAAAAAIAAjhCSU0EAgAAAAAACgAAAAAA
								AAAAAAA4QklNBAgAAAAAABAAAAABAAACQAAAAkAAAAAAOEJJTQQeAAAAAAAEAAAAADhCSU0EGgAA
								AAADRwAAAAYAAAAAAAAAAAAAAVEAAANzAAAACQBhAG0AYQBkAGUAdQBzAF8AMgAAAAEAAAAAAAAA
								AAAAAAAAAAAAAAAAAQAAAAAAAAAAAAADcwAAAVEAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAA
								AAAAAAAAAAAQAAAAAQAAAAAAAG51bGwAAAACAAAABmJvdW5kc09iamMAAAABAAAAAAAAUmN0MQAA
								AAQAAAAAVG9wIGxvbmcAAAAAAAAAAExlZnRsb25nAAAAAAAAAABCdG9tbG9uZwAAAVEAAAAAUmdo
								dGxvbmcAAANzAAAABnNsaWNlc1ZsTHMAAAABT2JqYwAAAAEAAAAAAAVzbGljZQAAABIAAAAHc2xp
								Y2VJRGxvbmcAAAAAAAAAB2dyb3VwSURsb25nAAAAAAAAAAZvcmlnaW5lbnVtAAAADEVTbGljZU9y
								aWdpbgAAAA1hdXRvR2VuZXJhdGVkAAAAAFR5cGVlbnVtAAAACkVTbGljZVR5cGUAAAAASW1nIAAA
								AAZib3VuZHNPYmpjAAAAAQAAAAAAAFJjdDEAAAAEAAAAAFRvcCBsb25nAAAAAAAAAABMZWZ0bG9u
								ZwAAAAAAAAAAQnRvbWxvbmcAAAFRAAAAAFJnaHRsb25nAAADcwAAAAN1cmxURVhUAAAAAQAAAAAA
								AG51bGxURVhUAAAAAQAAAAAAAE1zZ2VURVhUAAAAAQAAAAAABmFsdFRhZ1RFWFQAAAABAAAAAAAO
								Y2VsbFRleHRJc0hUTUxib29sAQAAAAhjZWxsVGV4dFRFWFQAAAABAAAAAAAJaG9yekFsaWduZW51
								bQAAAA9FU2xpY2VIb3J6QWxpZ24AAAAHZGVmYXVsdAAAAAl2ZXJ0QWxpZ25lbnVtAAAAD0VTbGlj
								ZVZlcnRBbGlnbgAAAAdkZWZhdWx0AAAAC2JnQ29sb3JUeXBlZW51bQAAABFFU2xpY2VCR0NvbG9y
								VHlwZQAAAABOb25lAAAACXRvcE91dHNldGxvbmcAAAAAAAAACmxlZnRPdXRzZXRsb25nAAAAAAAA
								AAxib3R0b21PdXRzZXRsb25nAAAAAAAAAAtyaWdodE91dHNldGxvbmcAAAAAADhCSU0EEQAAAAAA
								AQEAOEJJTQQUAAAAAAAEAAAAIThCSU0EDAAAAAAKwAAAAAEAAACAAAAAMQAAAYAAAEmAAAAKpAAY
								AAH/2P/gABBKRklGAAECAQBIAEgAAP/tAAxBZG9iZV9DTQAC/+4ADkFkb2JlAGSAAAAAAf/bAIQA
								DAgICAkIDAkJDBELCgsRFQ8MDA8VGBMTFRMTGBEMDAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwM
								DAwMDAwMDAENCwsNDg0QDg4QFA4ODhQUDg4ODhQRDAwMDAwREQwMDAwMDBEMDAwMDAwMDAwMDAwM
								DAwMDAwMDAwMDAwMDAwM/8AAEQgAMQCAAwEiAAIRAQMRAf/dAAQACP/EAT8AAAEFAQEBAQEBAAAA
								AAAAAAMAAQIEBQYHCAkKCwEAAQUBAQEBAQEAAAAAAAAAAQACAwQFBgcICQoLEAABBAEDAgQCBQcG
								CAUDDDMBAAIRAwQhEjEFQVFhEyJxgTIGFJGhsUIjJBVSwWIzNHKC0UMHJZJT8OHxY3M1FqKygyZE
								k1RkRcKjdDYX0lXiZfKzhMPTdePzRieUpIW0lcTU5PSltcXV5fVWZnaGlqa2xtbm9jdHV2d3h5en
								t8fX5/cRAAICAQIEBAMEBQYHBwYFNQEAAhEDITESBEFRYXEiEwUygZEUobFCI8FS0fAzJGLhcoKS
								Q1MVY3M08SUGFqKygwcmNcLSRJNUoxdkRVU2dGXi8rOEw9N14/NGlKSFtJXE1OT0pbXF1eX1VmZ2
								hpamtsbW5vYnN0dXZ3eHl6e3x//aAAwDAQACEQMRAD8A9VQsi70at8TLmsA83ubUP+rRJEkTqOQq
								PWsluPiskFz7bqmVMGm54e23buP0PZU9ImlNCvrGa7Fquc5gL6w93tgCabr3d/3qmotnWH1tbdva
								+mx7W1bAD6m81OrbU6djvVqfY5vu2f4RY1bOpWYNJb6VVQpmNHucG0XN2y7d+9sd7a/pqx0/AquZ
								i3EvLHsqdXSX6VsJoLWM13/o2Cz6Gz+bTeI9B9qnZ6P1OzqFJdZSanMDZMghxI1jaTsWis3o7sfH
								wW1y2qNdpMH6Os7vd+Y/6X7ivttqcdrXtJ8AQTpz/wBUiLrVTNJAzcynBxLcu+fTpaXENEucfza6
								mf4S2136Oqv/AAlnsUH9SxGdNd1TfuxGUnJL2iSa2t9Uua3+oiptJKtkdRw8bp9nUrrQMOqo3utE
								kemG+pvaG+53s/dT5WdRiYL862fSrZvholzp+hXWz/CXWu/R1V/4S39GkpsJKnd1OpnTB1Gljrq3
								tY6tghrneoWtrb+k2+n7n+7f9BDZ1V7b6qM7FsxDe7ZTaSyytz43NrNlLnOqe9rfZ6zK63/zXqet
								srSU6CSzqepZl9xFeC844ufSbzZWP5t7qbLPT3b9u9jkR/U6mdOyOoFjjXi+vuYI3H7O+yp+3X8/
								0fYkpupLP/alzuoWYtOI+2ih7asjIDmDY97WXN/Qud6j6mV3VerZ/L/wn6RaCSn/0PR+lkl+cSST
								9qeNddA2oBS6rRTfhmq5gsYbKtD4+pXDmke5r2/mPb9BQ6V9LO/8NP8A+prVjMY99G1g3HfWYHgH
								sc7/AKISU8qOm2VVuOJl21EsLhXZ+kr1qDyx2tdm3XZ7n2PT0ZWdjDBtbXXZi3Nq9Bv0XMBHq10O
								cA32saz0/W23f8KnZfk5TLDiFtdVIdU+x43OLmV+m5u3/Btc6mzb7P8AMR+mYuM/7HeGucLK6nMY
								9xcGMcRtpb/JY1M6+n+xTZeQ6mp+pL8driXCCS6vLJc4fvORmktyGlpg+qRI8DZjByE7Wikn/uM3
								/wA9ZaL/AIdv/G/+jMVPUl6lRlZubj41TvRx8aMq6x9e9j3guZh0DcWsf6VrXZj/AM+m2jD/ANKq
								noZ+LjZnTHNN1dtjH491VZa3ZlXBuVU9rdzW/ZrH3XP/AO6lv/BWrL+sfWcvoX1gfndR6dd1Lo1m
								PXXRbQA8Yz2l7sr1KH/o22ZG+j9Na6r9HWxlb/5xW+h5vQ+v1dSu6flnMwLaq2OwLNzTjv8A07rP
								TY8MfVXf6jNnp+z1KP0Fn6P9GqQ368LKGecBwcenVW/bWvcAWu3lz2YId9L9WzN2X9H2UfZKECnH
								6hmUdMwwHY1eHUy7JfbXuDrav0OLTtfta7bax+b/AME+jD/0y5joV2Lb/iwa6xz7eqPqyPsxpL35
								ZyPVu+x+iaJy9/qej/I9L+d/Qb1a+suJnv8Aqr0J/Wf+VRlYlOW9ji1xba7076bLKS3dvaf02z9H
								6v8ANpUq3cuozMTDzsOwWZLPUZl02V1H6NlwtycdldW/dZTayy//AEj6r/8Ag1by8p3UH0YeLj3F
								vrVXXX21PprrbRYzJ/7UtqfdZc6r0q2Utf8A6WxBs6Hju6rldStrltOKzHw6tRWwNFtltldU+lvd
								6zK/U2fo/T/rrnfqh0lvU/qd0HqJdZ9vxMj1RcHO3PYMt4vqv1/TV+g327/5tKlPRdPZiV3vbazM
								ZkHLvcAG5Yp911j63+z9S9J9bmO/0SFe+09Nz+kHHvGVkW5FdRFTjW5uTZZbXkfaWB1Daa68j9Nv
								s9Rnp2V+nv8AS9St9c+oZnT7en9WouLMHpWXX+0qwJa6vJBxnPef3sWu3f6f/dmuz/Bq59ea63/V
								PqdhHvpx320vBIc17BvrsreyHN9yVJZdQe79osswqL6upV3VVucK3CnIxyW+r9ovY12O6nHpuyLK
								PVfXk42VX+i/pHo5m4sz6uUUY/QcAVNDA7Gqe89y4sa577Hu9z3u/fetNJT/AP/R9KOAW5NuRRe+
								n14NtYDXML2jZ60PY57bPTayt3v9P9H9BDy3ZeLWy0XmybqayxzWwW22147/AKAa76NvtV9Uurtt
								OFuqrda6q2i0sZq4tquqvt2N/Pf6Vb9rPz0lNLqP1dxX2WZ+JY/Dygw7vTI9OyGtrDbqT/wdez9H
								6Sr9GIsvx6XMLazjVZGOW/msd721Waf4NwdXu/1rudQ6xjiuiqmwN+12ig2PY8Boeyyzgs/nH+n6
								Ve7/AAtn/W1LCt6VhVBlTzo1rJ2P+i0bWtHt+im9dPqpOel0FjGb3gMrFQ1HAbZX+79Lbe5EZg0s
								s9SXOMkgOiJJY7w/N9JqsNcHNDhwRI+adOU5LcPq+P1jKzabKrcLJFQ+yOLg4Ora5r8iq33VtfZ+
								jr9H0v0npV/rFKq19BfT1nP67jY1VORk4oxq8cODBY7cbX5Oa+tj2ssc70qv0Xr/AKGvf+k9T0aO
								gSSU4P1K6P1HoXQKOkdQFTrMUv220Pc9rhY99/8Aha6Xsc31dqj9cOk9X6vjYmP01tH6DKqy7H5F
								jmA+i7e2lgqpv/nHfn/mLoEklNTLdnOw3DHpY7IsrcAyx+1gcR7d9jWPds3fS2MWV9Tuk9U6D9X8
								fpGYyqy3EFu22mwlj9733s/naqns/ndi6BJJTgXdGy+odGzsfqmPT9tzRcxwptea9r/bju9S2tnv
								oq9Fm77P9Oj1VVs6N9YbvqQ76v3NxndQOMMP1xa/0SwN9Jt7neh62/0/zPR/nV1KSSnneo9P+sL/
								AKst6N01tFeU7GZi2ZNtrgxrQxtV76RXTa+x7m721b/S/wBL/wAEuiSSSU//0vVUl8qpJKfqpJfK
								qSSn6qSXyqkkp+qkl8qpJKfqpJfKqSSn6qSXyqkkp+qkl8qpJKfqpJfKqSSn/9k4QklNBCEAAAAA
								AFUAAAABAQAAAA8AQQBkAG8AYgBlACAAUABoAG8AdABvAHMAaABvAHAAAAATAEEAZABvAGIAZQAg
								AFAAaABvAHQAbwBzAGgAbwBwACAANwAuADAAAAABADhCSU0EBgAAAAAABwAHAAAAAQEA/+ESSGh0
								dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8APD94cGFja2V0IGJlZ2luPSfvu78nIGlkPSdXNU0w
								TXBDZWhpSHpyZVN6TlRjemtjOWQnPz4KPD9hZG9iZS14YXAtZmlsdGVycyBlc2M9IkNSIj8+Cjx4
								OnhhcG1ldGEgeG1sbnM6eD0nYWRvYmU6bnM6bWV0YS8nIHg6eGFwdGs9J1hNUCB0b29sa2l0IDIu
								OC4yLTMzLCBmcmFtZXdvcmsgMS41Jz4KPHJkZjpSREYgeG1sbnM6cmRmPSdodHRwOi8vd3d3Lncz
								Lm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjJyB4bWxuczppWD0naHR0cDovL25zLmFkb2Jl
								LmNvbS9pWC8xLjAvJz4KCiA8cmRmOkRlc2NyaXB0aW9uIGFib3V0PSd1dWlkOjM5NGVkYTVlLWE4
								ZTQtMTFlMC05NzllLWE2YTU3NmZjOWVkYicKICB4bWxuczp4YXBNTT0naHR0cDovL25zLmFkb2Jl
								LmNvbS94YXAvMS4wL21tLyc+CiAgPHhhcE1NOkRvY3VtZW50SUQ+YWRvYmU6ZG9jaWQ6cGhvdG9z
								aG9wOmNiMDZiNWZkLWE4ZTEtMTFlMC05NzllLWE2YTU3NmZjOWVkYjwveGFwTU06RG9jdW1lbnRJ
								RD4KIDwvcmRmOkRlc2NyaXB0aW9uPgoKPC9yZGY6UkRGPgo8L3g6eGFwbWV0YT4KICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								CiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAK
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAg
								ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCjw/eHBhY2tldCBlbmQ9J3cn
								Pz7/7gAOQWRvYmUAZEAAAAAB/9sAhAABAQEBAQEBAQEBAgEBAQICAQEBAQICAgICAgICAwIDAwMD
								AgMDBAQEBAQDBQUFBQUFBwcHBwcICAgICAgICAgIAQEBAQICAgQDAwQHBQQFBwgICAgICAgICAgI
								CAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAj/wAARCAFRA3MDAREAAhEBAxEB
								/90ABABv/8QBogAAAAYCAwEAAAAAAAAAAAAABwgGBQQJAwoCAQALAQAABgMBAQEAAAAAAAAAAAAG
								BQQDBwIIAQkACgsQAAIBAgUCAwQGBgUFAQMGbwECAwQRBQYhEgAHMUETCFEiYRRxgTKRCaEj8MFC
								sRXRFuHxUjMXJGIYQzQlggoZclMmY5JENaJUshpzNsLSJ0U3RuLyg5Ojs2RVKMPTKTjj80dIVmUq
								OTpJSldYWVpmdHWEhWd2d2iGh5SVpKW0tcTF1NXk5fT1lpemp7a3xsfW1+bn9vdpanh5eoiJipiZ
								mqipqri5usjJytjZ2ujp6vj5+hEAAQMCAwQHBgMEAwYHBwFpAQIDEQAEIQUSMQZB8FFhBxMicYGR
								obHBCDLRFOEj8UIVUgkWM2LSciSCwpKTQxdzg6KyYyU0U+KzNSZEVGRFVScKhLQYGRooKSo2Nzg5
								OkZHSElKVldYWVplZmdoaWp0dXZ3eHl6hYaHiImKlJWWl5iZmqOkpaanqKmqtba3uLm6w8TFxsfI
								ycrT1NXW19jZ2uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDf456vV7nq9Xuer1e56vV7
								nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xue
								r1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X
								uer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1
								e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1f/0N/jnq9Xuer1e56vV7nq9Xuer1e56vV7
								nq9Xuer1e56vV7nq9Xuer1e56vV7nq9XRIUEk2A1JPPV6m04rTsJPlFbEWhJWVKExsVtprudR+fP
								V6gpwjr901xnPGbem1Li7R56yLNSUObMtVCoKijkr6CHE6cPtdlIkgnR1IJ0PtuOer1P3UbqvlPp
								PlPEM958kmwLJ+EGmGK5gmWJoKcVdTFRxF9shazSzIug8fZz1ep9y9nbA810CYll2R8Wo5VE0U1L
								5ZDKexBLgEa+3nq9SEi6/wDTR+oGM9LJsXakz/gENLiWK5ZqlQVEdPWqWgl912BVwNCDp4256vUq
								c99SsudN8oY3n3Nwnw3KOW6STHcexvZG0VLRwp5jyuBJu2qupsCfhz1eqTlTqDlrPGF0+M5VqWxr
								DquJaymqaTYVkjcBlYEsBYgjnq9SSq+vHTrDeor9J8VxJ8L6gLhlNnKPLlYsYmkwurq6igiqUKOw
								KNNSyJ3uCuo1F/V6ljmnPOE5OyxjOcscpqiDLeXqKozFjWJxrEy09FSQNUzTMDIG2pGhY2BOnbnq
								9Tdkjqlk7qPg1Dj+SsQOP4TiUMdfQ1dHsKyRSoJFYEsO4PPV6mHG+uvT3LWe8M6a5ixF8FznjdFJ
								mHBsFrliD1VFFOKd5YykjAhXNiO/wtz1epf4hmWnw7C58ZegqajD6aJ62aamWE7Yo1LM1nkXsATz
								1epGdNetXT3q9l/DM09O8Z/rNgeMQrX4dXUQAWSJhuBG9hbtqDz1epeNmLBocSpsGqq+Kixisheu
								psLrJESeSKN1jZlUn3gpYAkXtcc9Xqeuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer
								1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV
								7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xu
								er1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV//0d/jnq9Xuer1e56vV7nq9Xuer1e56vV7nq9X
								uer1e56vV7nq9Xuer1e56vVgqqmCjp5aqpkEUEI3SO33fWSdAOer1VFfjodSc39Jvw5eqGd8kY5U
								4BjuG49kmn+dwuaSGR6aozbQQTws0ZBKSRsVYdiDY89XqNr6Is0YjnDonlTHMUlM1ZX4dQ1s7uSS
								Xmh3nvz1eqkLJ2Zscpvx/wD8QDLsOIyJgr4X01xNsPDHy/PPTvAIi9vbtFuer1WSfjcVVRRfhS+r
								ispJmp6qlwTA6mmqIjZkkTNWFMrAjsQRfnq9S1/C5xnE8c9MHS+vxWresq6jLuEVE08xuzO9JGxJ
								+s89Xqqz6pZjxrDf+FAWfMGosQkgwzFOmGU562iVj5bvEW2tbtfW1+er1W2/ibySJ+GT6yZkcrKv
								SvM0iyKbMGGCSG4I8b89XqBj8HDMGMZj9IPR7Ecarnr6yfLWHNLPMbsxEUSi/wBQ56vUR31l5ixr
								Cfx7OgOFYfiElLQYz0Dww4lSxsQsvkZ7zOybh8Cx56vVdR6r2Y+iH1MOT7x6WZ1Yt8f6p1p56vVW
								z+A5mHGsw+izo9V41iEmI1JwYI09S25iElKLcn4Ac9XqBP8AEux/F8F/Fz/D4hwyvkpIcVyTmyjx
								GGJiEljGJK4DDsbEXHPV6r58TdpOi+PO53M2X8QLE/8AeDLz1eqhz/hOzmPG8c9IeQkxbEJK5aB8
								Tw6k88likMNRMEW59nPV6lv+KD1xzp0g/EW/DhwrLeJSwYL1EwrPuW8y4ZG5WKoQVGESxMwHcowu
								Pp56vVetkavkxPKuD10pvJURbmJN/Ejx56vUo6Orpq+lp62jmWopapBNBNH2ZWFweer1Seer1e56
								vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e
								56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer
								1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X/0t/jnq9X
								uer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vVXN1J9UUOL+tzCvSpgEiyQdPsr
								UvU3qDPGwa+IY5WPTUFKwFipipoHmI7MJkP7vPV6iv8A/Chz/s1p1k/73+RP/Yxw/nq9RzPw9f8A
								q3nI3/eowv8A8phz1eqkvKv/AGkM+v7/AL0fTT/2X+A89Xqs6/HC/wCzTnrA/wC9Bgv/ALFGFc9X
								qVP4Uf8A1ar0p/8ABawb/wAo4uer1VV9YP8AtIVzZ/4S3LH8Tz1eq4X8Tn/s2L6y/wDwlWZv/LHJ
								z1eoAvwVf+rM+jH/AILOH/8AKkfPV6iN+tz/ALP+em3/AMIHRf8Asc5l56vVeD6rv+rH/Uv/AOEr
								zp/7Cdbz1eqsL8AP/qyTo7/3p2/6Ttz1eoFPxQ/+zvH4dH/gm5t/8uC89Xqv9xD/AJ0pjn/gvYh/
								5Qy89XqoD/4Th/8AVouTz4fNYxr/AN9M3NEgV6lR+Lb03zRnb8Qn8MvHsDoGqMJyjFnepx6tAPl0
								6SPhhUu3YD3T34hOZMhWmcatoNWsx+sX0w9K8r4dhGaut2XkxfDY/Kq8GwnEafEKxHBJKtDQtK4O
								viOFGYbwhpwoSkk1dLYIxNEr9Ln4pPpyw/op08wfNucq7GsxYZhdDh2M4hgmF1lTA9TBAsErhyBc
								MyE6DueOXWauhtKkJx4iqgJnE1Yd0p9XvQHrLUpQ5Hz7DVYlJZY8LxWCpw+oZiL2VK2OLcfbtvxO
								3n7if7oggdO0e6r92DsNGYVgwuOCRh9LiZGymiIrvj1ar3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV
								6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq
								9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3
								PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9
								Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1e
								r3PV6vc9Xq9z1er3PV6vc9Xq9z1er//T3+Oer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X
								uer1e56vV7nq9Wsb0MxjEcY/HF/EalxKqarkw+bJGEURksBFTU+UcOhjjUKAAAq/Wbk3JJPq9Ruf
								+FDn/ZrTrJ/3v8if+xjh/PV6jmfh6/8AVvORv+9Rhf8A5TDnq9VJeVf+0hn1/f8Aej6af+y/wHnq
								9VnX44X/AGac9YH/AHoMF/8AYowrnq9Sp/Cj/wCrVelP/gtYN/5Rxc9Xqqr6wf8AaQrmz/wluWP4
								nnq9Vwv4nP8A2bF9Zf8A4SrM3/ljk56vUAX4Kv8A1Zn0Y/8ABZw//lSPnq9RG/W5/wBn/PTb/wCE
								Dov/AGOcy89XqvB9V3/Vj/qX/wDCV50/9hOt56vVWF+AH/1ZJ0d/707f9J256vUCn4of/Z3j8Oj/
								AME3Nv8A5cF56vVf/WeWejWLJJIsSPgNcjyysFVQaOQEknQAeJ4ivr5DCNSjVkpJrVi/Di9QWNen
								noBlj0/+nHBqXPvUSget/rT1BxHc+CYXUTVDyNFAsdjVSKCQxuEB8WNwAlm+earZQ2E/jWluJQca
								Kt+IdjHXiv8AVJ6OModZOp+K51PVR8wT1mGVE7QYfAtCaIBIqaHbGq3l7Aa8D+ULSWnHOIimFXhU
								DVt/TH0o5Bpsq4RUHDIBJLHvYhATe59o4S3GbOFRpAq4VNVGfg35Mg6y+njDqvM1QKmuSsxKhWVk
								F9sU77fu4f5/fLad8NOvuEGrAsXyZi/Q/qRRSUsnnYPUHzLpo0ZBuCCO3FuQ5sXTpVTlu8Sa2OPT
								/muuzt0jyRmTEWaWqxGijaSokN2l2Xj3k+1ttzwQ5CqFuIGwExRk5sBoZuCema9z1er3PV6vc9Xq
								9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3
								PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9
								Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1e
								r3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6v
								c9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq//1N/jnq9Xuer1e56vV7nq9Xuer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vVq9enr/s+F+JN/3n5O/wDYWoOer1HM/wCFDn/ZrTrJ/wB7
								/In/ALGOH89XqOZ+Hr/1bzkb/vUYX/5TDnq9VJeVf+0hn1/f96Ppp/7L/Aeer1Wdfjhf9mnPWB/3
								oMF/9ijCuer1Kn8KP/q1XpT/AOC1g3/lHFz1eqqvrB/2kK5s/wDCW5Y/ieer1XEfiaRmX8Mn1jxr
								9qTpXmVB9JwSQc9XqJX+FZ1x6R9GfSz0Qydn/PNDl7M1VlPCsQhwfEJlSZoJ0Gx9pN7Hy2t9HCjM
								c1TbthRxkxV0Ik0DXqOw3LXVj8Xfol6hco5npMVylljpPSdNsQmpZUYrWrmrG6/aQDf7FWvE+X52
								H1RBFWU3FXL+q/T0Q+pkezpZnUf+snW8PELCqaiqwfwA/wDqyTo7/wB6dv8ApO3L16gX/E/Qyfi9
								fhzIouWydm0Af9/BeaJr1CT+KZ6ncyx0XTz0WdLcVkoMwZ2wVs6dXcRw5mWanwAK8dPSbksV+aeN
								y1jfaluzcjrP3y5cKn7Ux7acWvQjzqsH8C2CHEPT9guOVMQlrq6rxN5ZnF2O2aQDU/Rwh3mMOxwo
								ouVSaifis/8AV+H4bv0Zy/5Xwzm8j/4le9PnWmftNXpdPv8AmD8D/wCXX/Mx4GnvupOrbVCv4Bn/
								AFbtQf8Ae0xf/pM/BPvR/dvSlNztqzj1AGfMeacGy9g1Oa7G8ZqqfAcJo6cbpJaiplEKKoHiWYc1
								kIDYKzsFOWaCTV+vS/JtP0+6f5QyZTbTHlvD6bCnkivteWOMCRxu1sz3P18H27bCg1rVtVjRq8cY
								pe8ElM17nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X
								uer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV//9Xf456v
								V7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1avXp6/7PhfiTf95+Tv8A2FqD
								nq9RzP8AhQ5/2a06yf8Ae/yJ/wCxjh/PV6jmfh6/9W85G/71GF/+Uw56vVSXlX/tIZ9f3/ej6af+
								y/wHnq9VnX44X/Zpz1gf96DBf/Yowrnq9Sp/Cj/6tV6U/wDgtYN/5Rxc9Xqqr6wf9pCubP8AwluW
								P4nnq9Vy34kQB/Da9XIYXB6YZiBH/fmflV7DXhWo9U4HJinrA9ImWvMb+UZh6OZPMlKGIVXhqaxS
								wA8Tv/LgJzlcW89BqtwogUazC6mq6afiA03T6FA1EMpYTmFbk6PNjuJU57/CEcf3cuO9Y1dfyFNM
								OlQraB9Vh3eiD1Mn29LM6H/1k6zghsFTq8zSlVVi/gB/9WSdHf8AvTt/0nbi8mKrSe/EgyxSUn4l
								vo561ZnqhhXT3pJkPNWJZpxub7EZlxAeXGo/ekkNlRBqxIA4VXOatJVpnGrhGE0VvpdkzMnWvql1
								+9W2fcNeirM/U9bLljDKrX5HCKLDjQ0FOPD9HBCgYju127k8jTPcwC3iB00X3L04UW38CD/q2XK3
								/eTin/SeXlN6P7uaT3G2m78Vn/q/D8N36M5f8r4ZzeR/8SvenzrbP2mr0un3/MH4H/y6/wCZjwNP
								fdSdW2tfb8DLF4ME9LyV9RIIo4cRxhy76Afpn9vBZvE2VP8ApSt5Mmr8fRJ0uqurnVjEuvOPUj/1
								OyNLNhmRTUKfLrcVZTHLUJu0ZYEYqCLjcfArx6wtS6pLSdm0/hRpbt6EzVy4FgByUWWwhIAqpNd8
								drVe56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e
								56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1f/9bf456vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1avXp6/7PhfiTf95+Tv8A2FqDnq9R
								zP8AhQ5/2a06yf8Ae/yJ/wCxjh/PV6jmfh6/9W85G/71GF/+Uw56vVSXlX/tIZ9f3/ej6af+y/wH
								nq9VnX44X/Zpz1gf96DBf/Yowrnq9Sp/Cj/6tV6U/wDgtYN/5Rxc9Xqqr6wf9pCubP8AwluWP4nn
								q9Vy34kP/Ztr1c/+EwzD2/7078o59prwrVJpYpU9aPoSqFjYh+kGW1cgHS1ZONeAfPR/kxpu62UO
								fVrEaWk/FcwyhqZhC9X04wSaLfpe2Zsa5rdE/wCSn/G+QpPafbWyB6uOvHQrKHpf6v5Fz71QwzAM
								SzdkPMWV4MOWU1VZursvz0l/l6MSyCxk8VHPDeLunFoCSTqPxo1LYgY1Td+HL6qV6VenPIfSb049
								P5c5PgdF/LE6g5xZ6XDZFDsWeKlitOw3HTeyfEcpnOeL/LR9qjSdTqUGikeufqD1mzV66PSLkrrD
								nOXMtPnPCcbzFNgkCLTYbS/KziNEjp4gF0JNma7anXgcy3xMOOcRxpO7dlSTVz8GFUOE9H8UpqGn
								WniXA6wbYwAP95JPZwOFRLnrRXONUw/gSzQwemLK7zSLEoqMUJZyB/u8vt4It6P7uaeuNtJ38VbH
								cKl9c34d9bBVrUU2EJm98RlhO4RB3w3buI7XseWyJJ/LPDy+dWZSdJq2DL3qW6eYLlfBqCCrOI4i
								I/Kjo6P9JIzljYBUuTfgfftlBRmtJtlKNEE/Bq9CXUDHujmAZWzxif8AUzIMddW1eN0lLKP5xXiS
								VpGhRVv5AINize8NbL48kBzLlXiVOJ8hRolkBUmtt3J+UMu5Dy3g+Usp4TDgeXsBgTDsKwuiXbHF
								EgsAL3JJ7kkkk6k34KMnylNsiONOLXNKbhzTde56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xu
								er1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e
								56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9Xuer1e56vV7nq9Xuer1e56vV//19/jnq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq
								9Xuer1e56vVq9enr/s+F+JN/3n5O/wDYWoOer1HM/wCFDn/ZrTrJ/wB7/In/ALGOH89XqOZ+Hr/1
								bzkb/vUYX/5TDnq9VJeVf+0hn1/f96Ppp/7L/Aeer1Wifja0VViP4U/q5oaKFqmrqcCwWOCCIEsx
								/rRhZ0A+jlFOJG01uKU34X9NLlv0o9L5ccthkVNlrBzUy1rCNYwtFGSWL2AA+PEV7mbTCNSjhVko
								JqrTrzmLonlP8YzOHqIzR1iwWPLYyHl/KMOH4FVDFq56mAFmC02FiolPxO2w4W2u8DbpwGHTW1Nx
								Rp/Vj+Iz0qz56ZOuWTMI6UZkx7I1Tk/GMPzLmTMApsIpzRrQMrtEjNUSMGUablQ/Dgavc7ulvFCC
								AJge2thxsCiSemvImXPUTjfSL1DQYDSYBT5UypheTsrYfhzPIyYfRyNKnmPJ9pyZTcgAcJM3zFYR
								3Z4UXXj8mKJZ6y8v1cv4yHR3C6GoNOuL9IKGvqNhtdkzZjqDt/xHivJrstWClD+l8hTTK4R61Z51
								v6K4Bhnpl63ZjqoEqcYo8hZnxOCrlXdIsseX6mRTc+wjhOMyW7cJn+kPjVO/UTRYvwdYoj6Vul2J
								VW16qqw1pJ6iS1yTMT3PHd4ie/Irz+2ga/ERr6aP8Sf0TYqsokosJyrmP5+dCCsZetFgT4X4oycT
								aODjIrbKDoNWcL1ZzHnnJlblPpXknEM54hNhdTSS1GFU7GniDQtExed9sSgbtbtwiUzpcg7adasV
								Kxon34UfoAz5iHRHL+BUnWbC8tYFTz10dQMrrJitXfzXZ7MfJhBuSNHPB5c5W5dNKcAxwifOlv5d
								OrGnv12emL0+9BvVr6G+n2e6XFereYOrRzGY8azFXz0q0y4c1DvEcVA0YAczC4JPbijKN3n0fecO
								gU8dAGArYg6F+nnoTkXL2D41kjpPgeXcRnhW+JUlBA1V7hsD58oeS+nfdw3e3aYcdK1D0rSXIECq
								P/8AhOznHHs8enSmx7MVfJiGI1WM40ZZ6hizG08g7nh+ywltMAYVQma2XeO1qvc9Xq9z1er3PV6v
								c9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z
								1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV
								6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq
								9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3
								PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er/0N/jnq9Xuer1e56vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vVq9enr/s+F+JN/3n5O/wDYWoOer1Hb/wCFBOGV
								2Mfhg9XcOw2narrKjH8iiGnhBZmtnDDybAfAcotxKdprcUZv0gZvyl0d9MuSsZ6nZow/I2Fw4Thq
								yV2aKuCijutOq2BqGW5uQLDXhTmmct2yQTjOyrobJqjnEvUn6dsqfiueq/1B5AqsQ605g6lUGTMP
								w7Acq00lHTxJhWVcMwtnlqMSSKwLU1xtja4II0N+FdtvEpY1KTCa04EpG2l7+Ib65/Vdj3pJ6z5i
								rcnZe6cdN8Mw+hqsUwp6RsarZUGLUqxh5q+0Nt7ISPI7jvwKM3K7i5CVLOJPVVfzaZgCg89LXT3P
								vqO6WZOzF1H6jY1mXCanDKStoMDrK+aPDqeKogU+XFSxMkSJY2ChbcazfNI8G0CkTl4QTRJMwdPs
								Jyl+LbiXSmipYost4bkbBMZjpY1FvOnb3j7OPN3RNhr4zVS8SirYfXblHAcD/D99U81BRpBMnTjM
								DpKoAIb+USai3CDLHlKu0Sf4h8aStqJUKDf8JmaJvSv0rQSqXGAUe5QRe+2Pjuff3dXnXnttFW9V
								eGVmIfjTdDHpY96wdF6MyN4C+cMwW4vy9JOXK/xvkKda+z1qxD1F5qz/AJh6OdV+mGR+nuKZpr8Y
								ydjuAVdZg1FPLT00dTg81K8ss23y40TfdmZgABcnhHa6Q8CTsIp1myUrGi/fhlejD1H4h0AyBlSj
								zHhGScv4RRtRvir1ceJzyKJBcxx0Lsh7mxMnccGN9lLlw2XUiSTSz8qnVjSu9TXRfpL0E9efo96Z
								50oJesWcOpOBY9jE2Ys4HbBTRUdUFEcFNTlVAJ77y1+GOR7uutmXDh0U+QhIgVsRDCcGwTotji4F
								g9LgdMMBr546PCKeKmiVhRSWISFVUdvZwTJyZgOFenE1XvDEVQ9/wnRxCtxP0nZSq6+peqqJavGG
								klmJJJ+Zm9vDRKQBAqlJ38Zz/s5D+FN/xHPf/STCuWr1bF3TL/mBsv8A/Ln/AJmPPV6tbX/hNV/1
								a3hv/e4xv/yok56vVtDc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc
								9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1
								er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6
								vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9
								z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3P
								V6vc9Xq9z1er3PV6v//R3+Oer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7ty
								qlADGvVrDZXrMrdAvxVfxDuu3VjG0y7lLMmKZXocr04Vpq7FZ6bLFCrRUdOnvysCtjYWH7xA4WHN
								mtRE7KsUwJNJL8V38QvrHmv0ndQMeyh0zpchdKMOxDANuKZ1hTEMZrJZcapoIJFhYmngCyOGAIkO
								g1Hbke29+9d3AStXTgK2blAMCpPpa6HJ1ayZgPULqjjlbnjHqyjpauOszNUS1ZiE0W4rEspKxr/q
								qAPhwszbMlqVp4Cix26VNV/5GwCgwj8Zr1dZSp4wMEwDCMinDqIABEM2T8Jnew+LOTxa64f5c2ek
								n4mtFRLYqxv8XGlpoPw1vU8lPAsZOC4UqiMAE/8AGhw7hRkJ/wAsR5/I0wz94ps9A/UfKuTfTb06
								bG8SSmdMAwoGN2ANxSR6a8tm7Si6T11ZTZJoh2bcO6gdTfxWcz9W+lGR8Tzphk2TcEyzSHA6SWeM
								zQEhi0gGxQDoSzADh1lrPe2oaG2TS1u2OjGrNPU/6ZfVX1C9JnXOp6pVeE9H+ncWT8WfMb4vVfzG
								uWhiomEn+j4aWj1S9ryjiG2sHW7jwoJ0n4Gn2rFIxJquj0xVeMekDrh0J9PND1K/zmZS6kZKwrPu
								D4sMOOGrTrUzvTmnWP5mo3KojBDEgm/bThrnNiFMd4RCqT3bIGyhK63Y0i/iz5fxKRLz4T0kwfD6
								d2FyN+a8ec2+/irda3C7Qg/0vkKpajw1s1epVv5f6I/UXX0KrSVFP0uzhXQNTqE2SrlSrkDDbaxu
								L8P8ryhjvHFacdR+NGa1mAKrZ/AUxSvxf0X9I63Eqp6uqnwlpJZpiSSTUN7eCZKABApmaAX8UP8A
								7O8fh0f+Cbm3/wAuC8tXqv8AcQ/50pjn/gvYh/5Qy89XqoD/AOE4f/Vo2Tv+8rGP/Kmbnq9TT+M5
								/wBnIfwpv+I57/6SYVz1erYu6Zf8wNl//lz/AMzHnq9Wtr/wmq/6tbw3/vcY3/5USc9Xq2huer1e
								56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vVEx
								CvosKoK3FMTq46DDcNhkr8QrqtwkUMEKGSSR2awCqoJJPYc0ogCTXqTeSM8Ze6hYDT5kyxVGrwqp
								JSGZwFJtY3sCdCDccSWN8i4b1o2V6lfxZXq9z1er3PV6vc9Xq9z1epJZwztgGRqTCqzMFSaeHGa6
								HL9Bs2lnqZo5JQAGZb2SJmNrmwJtxJeXqGEBS9kge2tgUrAQwDKbg6gjsRxXWq756vV7nq9Xuer1
								e56vV7nq9Xuer1MOXcyYTmqgkxPBZzVUCTzUKVNhtkML7CyEE3U91PiOJrW7Q8nUnZJHsrxFP3FN
								er3PV6vc9Xq9z1er3PV6kfnjPmWOneCrj2a8STDqGaogwmkDsoeeqqGskUYcruYgFrX7AnsOJb28
								Qw3rVs/GvUp6KsgxCjpa6lfzKasjSpgf2q6hh/Hj7awpII2GvVJ5evV7nq9Xuer1e56vUWL1K+r3
								of6SaLJOJdbsxSZaw3P9bUYBl+vihWWM1NNAKl1e7qR7huLA8R3l4GQCQTPRWiQBJoEaf8Ub0bVV
								PDVQdR3kgnUSxSClNip7H7fGxmE/wK9g/GmfzTfTWdfxPvR27BR1Ga59tN/z/wA9/MP7xXsH4178
								y300q8N/EP8ASTigi8nqnDE0v+5zwTgjXx2Kw+489/MU8Uq9lWD6Omhkyv6mugucdn8g6o4VUu9t
								sdTMaZtbf8pKx37+HLpzBo8Y8wRVwsHjQ2UlZSV8CVVDVR1tNJrHUUjrIjDvoyEg8VoWFCQZq1Se
								Wr1e56vV7nq9QadY+rWTehPTHOXV3qDVyUOS8h0hxvMdZSIskkVMJEiLBXZAbFxfXjTzoQgqPCvU
								S/BfxWvRTmCjWuwnqa1VTGwLrSnQkbrH3++vELeaBQkIV7B+NMm5bnbTr/w6B6Ov+3jP/wCM3/P/
								AC/5/wDvFewfjWvzLfTXv+HQPR1/28Zv/Gb/AJ/578//AHivYPxr35lvpr3/AA6B6Ov+3jN/4zf8
								/wDPfn/7xXsH4178y300LvSv1mdBetFc+HdPMzSY5VowiaNYQmp+LPzYzATikjnzq6HUq2GjU8X0
								5Rd/Un6pOj3pNyllXPHWvHZMu5azhj1N04wjEYIhKP5nVYfW4nGrgstlMVBKbi+oAtrxLd3YZTqI
								J8q8TQgdM+q+TOruA0+Zsj17YnglXHHVU1a6BFdJBdSBcnnra7S7sBHnWgoHZQkcVVuvc9Xq9z1e
								oC/UP6jOl/pc6er1Q6v4tLgmTv5jQ5YkxKmjWUx1OIO0cO4M6e6StiRr8OJrq5DSNRBPlXqe+k3W
								zp91uwGmzN07xVsawOriFXTYhsCI6MQAR7xOt+Utr1LuwEedaSoESKFniyt17nq9VaXqd/Ff9IXp
								gxXEcq4/nhM5Z1wp2pcTy7lCSKdKSdCVaKoqS3lq6sNrIu5lOjAHha9mEK0tpK1e720w9cIb2miI
								YN/woa9OOK4ulBU4LTYTDK4iQ1mLpvAOmt4lF/q5dJvDiUD20kGatTVrvQD1udDvUNRUs2U8wxUt
								bVBTHSVE8UkbFheyypYfeBxxN0QYWNPwpa2+lew0b/iuna9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z
								1er3PV6v/9Lf456vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7mia9RA/XF61cL9MO
								BYJlTKlJBmvrp1F30uQMnzl2ihjVlSSvrBEQwgiLCy3Bkb3QQLkAPP8AOVKUW0GANpp4QkSa1Y+g
								1Znvqv8AiT+ptOtmNTZzzNlZ8CkqcQxPbsWeuwqnrWjijUBI0QSAKigAAcILlQbtElP8U0X3VwVC
								jn/jZYZS0X4c3U+koaZYwMZyZFFHEoGpzTQgAW4W7tn/ACtPkfhSNgyqjb+iJGToflEMLH+W4cCD
								8Ke3EGZf3Q+dUc21VBRYLjlB+Mv6zMzUuEVOKQ4nh2Q8Nwimw2GSaWpqEyVg4Mcaxglm07AcELLR
								dsWkJ24/E0qQ0SgVZH66OiPVPMfow64Z467NH0x6O4JhtDXY5gbbarGquEYxSpGghRvLivLsuXa9
								j9k8L8ry5/v5QnYTjS5mzSnE0bH8PP0iel/GujuRc1JkeXODy4Vh9dRT58qXrkRWiSRAKZfLpxt7
								f5Pt3vyQX92kvNpCjjMmnEkA7KJ91GzljmAfjh4z0jy8EwXp/gPTfL2KUeX8IjSnpIZ6t2ZisUIV
								F3G/YcNMuyZm2HhFbU4TVsX4kZYfhuerpgbP/mxzEdw73/k78MVNpAOFUmtUtEdfWb6CYZgVkj6R
								Zd3q3cE1s3t4DM9/4lNM3Wyhy62Qmf8AFPo3Ck/820wKNj8TmbG7Dje6GFqf8Y/AUzafbW0R6oxb
								0MepMezpTnIf+sjWcFOW/wAf+MfjS5dVnfgDRSReibo8siFGGDm6uLHWdj48NKpQKfifxvJ+Lx+H
								VsUt5eTM2yPbwUYgoufv56vVf1iH/OlMc/8ABexD/wAoZeer1UB/8Jw/+rRsnf8AeVjH/lTNz1ep
								p/Gc/wCzkP4U3/Ec9/8ASTCuer1bF3TL/mBsv/8ALn/mY89Xq1tf+E1X/VreG/8Ae4xv/wAqJOer
								1bQ3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV
								6vc9Xq16/wDhRb675/Sp6QKTo1kTHRh3V31PVE2VYjSSAVNDlGhCy4xU6XK+f5kVGtwNyyyFTdOJ
								3xq8HTTT7mlJNNP4B3q4Xq16f8u5Px7GDWYzRxfy+YTybnE8TEITc394afdzyrUW6wBsNIctudaa
								2KuKKM69z1er3PV6vc9Xq9z1erXW/wCFD3q3x/0t9PvRS+XcTfDarMvVCTMWJimeSN6igwPLddTS
								xMV0KF8UjLA+IU+HEGYWweSEHppm4WUoJFXM+lPrHhvW3ovkzOFFWLVzVNDSvUOjAlleEMjdz3Gn
								1cft5A0naKs05qSDRkOKKcr3PV6vc9Xq9z1er3PV6qqvxhfXPQehj0h45mTDMQSDqp1bq4+k/Sml
								DDzY6qvQtW14FiQtFSCSRWI2+aYlP2+JronRA2mqOL0pJoZvw5c81WfPTFkjFq+f5iuenp56h2Nz
								+mpkIv8A8g8SZVahhBbHCqMOa0g0e/hpT1e56vV7nq9Xuer1e56vVpQf8KE/xL8Xw31g9HfS/wBL
								szNDlb071FFnbqs+Gy+5U5sxVA0VM5S4PyNBIOx0eokRhdOJzbB9zSdg+NF2ZXHdoraA9BHXnDOu
								XQjKmLU1etZVU9JBKXDBiY3QfH91v4jm206FFHRSq2d1oBo7/H6fr3PV6vc9Xq9z1erUg/4VxVNb
								S+m70fSUFQ9LUv1CxGFJYWKtZ8BdSLj6eNLAKhTFz9hok/oK/BH6iesPoBQ54xL1EVPTCWKChGF0
								lVh1RiaTCqgaYk+VW0u3ZYC2t/hzz761rKUQIomscvCk6lGjMTf8JcusVnan9d1Gri5jD5TxIC/g
								CRjBt93KQ7/Sow/lrXRQeY9/wmU9bmHUyvkf1o5UxCtVZCIceTM+Fxhgt0AkpYq82J0J2aDUA9ub
								He9IrX8sbosee/wh/wAdb02U1RjuQP5Z1xoMHZppouk2baasqGij13R0uZ4sKqJb20SNGc/4eb1K
								/iSDTZy2NijSQ9Pv43nqp9HvUyHpV6tOn2YumeYKB44sXwXOOG1+DYhEhkMYaWixJELoSjWI0NtA
								eNflmlGU+FVV1PNbcRW5t6NPX10h9XWT8LxrK+YaSbEK1FK/KSr5cjkC6lSbo99LHx+7lg4pBhft
								pexcpcGFH34ppRXuer1Vj/jOsyfhYeuV1Yqy5CxNlZdCCJIjfjb32mvVpKfg/fh29QPXlhdRQN1Y
								q+nmBzmpkkx0Qy1qo1LSiQfokngJ3sQv2xbm3XylKUp2mg63Z966rHCrlMQ/4S79U56uaWj9dFND
								TMbxRz5UxFnA+JGM8ZAe/pUZfy1roqF/yy49Xf8AuO2k/wDUSxH/AM/PNw7/AEq9/LWuivf8suPV
								3/uO2k/9RLEf/Pzz0O/0q9/LWuirBfQH+Ch1R9FfUWLOmK+quLqRhiyJUS5fhwSuoEYowIN5cRqR
								f6uIryzfdiFgQeinmLRDZkVsL8NaVVq/f8Ky6yqoPw6uiNXRTtTVMXXDKpjmhJVhfJmbAbEfDjLw
								mPOmn/tNHe/A3xjE8Z9G+RajFK2SunXB8HHm1DFm/wB528T9HKj+7KpLlxloVdHxRS+vc9Xq9z1e
								rXv/AOFOtTPSfhSZ9qqaVoKiDOGS5YZYyQysMV0II4y8JFVXsNOP/CfDG8Vxn0h5WfFK6SteLDIE
								Rp2LEATFR3+A5T/XvSkWX/ZV/wDxTS+qAfx/fxJMa9EPp/yd0p6U40+EddvUlNXYVg2MYc5SqwXL
								mGLEMRrImQExzSvUxU8LaGzSOhDRjia4lUJG000+6EJJrXq/D4/CG6xevGYZy6g5olyfkyyV2N5l
								xSKSpaPz/fSOKEvH5szC52llAHcjS7SlFB7poR0nookYtFPq1K2VdPmL/hLR6KswZcmpV65dS8Gz
								ayWp8cwmqyuMOSW495qKbB5JWXv7oqQfj7XksqGJUZo3TaNgRFUI+rT0Oevz8B/PGXuteUOocnXn
								0p4jiMeHS9QcBpamk/l0skgEdLjmHF51pHl7RTRyPG5AG4ORHxwrOxeIpI7Y6cUYGtvr8Ln8QTKv
								rM6M5cxiOstjBgihmpqg/poZgApif26/ZP7OJQ8lpwIJwOyldq+VjHaKtg4upTXuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1f/9Pf456vV7nq9TZjGM4Xl/DKvGMaro8OwyhUSVVXUmyrdgigWuSzMQqq
								ASxIABJA56vV3hOK0uNUMWI0O80k5b5eSZChdVYqGCtqAbXFwD7Rz1epy56vV7nq9Xuer1e56vV7
								nq9Xuer1dEXFuVWnUIr1aj75zretn4xvqkp84Vb1sHTPEosgZOw6tsRSYdhFMsISPQe683my/S55
								Gm8tmm3bITOJ40xdrJFN2Y8s4R0T9bfVDOrPHUYn1Nq8GxTGZ4E8pdMPgpI1C3JG2NFHc6+PCFCy
								7bJHRSCZFHU/EB6Y0HVj0vZ4yxi0qLhNLUYTmOtgkTcZTh2JwVUSg/u2kVSdOwtpwtyp8tvgiqN4
								Ggo9JnVWliyDiOXMOIauwI0uE09OpGt4m229na3D1nKS+9jT6G9Rox2PYdgnpb671+PTUdNWZ9zn
								SYXjGes0iNTPM7UMMKQo7arHFFEiAD7Vrn4D/KsjRbHAzFGgMJirA/XxkjDurvoh6uZSxQRnBczY
								Rh1XiUc6sd8UVfSVyBSCLHzI0NyDpceNweNspTsFaJoE/wANLNlD/Vqt6aUihRlDDKYwAeEMci04
								0+7jtaoqPqzypg3Tn8Q3E+u8ojkx3GctYHgtRLGpQrS0rSCNWuTcjb3v93bnq9VrvXvJ1H1q9IfU
								XJ88602EdQMk1NNiDSp5m6iqsK82VBc6FkJUE3tfmlCRXq1JuptPSYb+Jr6YMs0ahKbL/TbCMPp0
								XQBIsTnjHAPnw/ydXUaaudlGV6u5cp4vW7BnWYI1fU4DhmW4WjVgwpabEquoUNdjc76lzcW0IFva
								m3SV+xI66ZtRArZp6oYBDnH0ydQctSsnyebMk4ng1b80rMhpq/BJIZlspBuY3YA+B1se3BzbMBAk
								ccaWE1Wd+FliODZGiw/ophEYio8GwueahjXwSBo72/5C4prVOn4gORMvxerD049ZMXMbYnlXBMWy
								/hThbNFDNWwySXJve5Y6/VbS59Xqs7wSqhzh0S8/C91THj2BVcFIKZdzuZaaSIBVHc30A56vVUT+
								Ct0XrOgfRLLnTbEn3YpgZrVxO5F/mHeVn+zp3PPV6i1/jNI7/iQ/hUbFLbEz2728B5uEi/589Xq2
								LOmX/MD5f/5c/wDMx56vVrTf8JpaoP6YqaLuY8bxmP753/p56vVeT6nvWXk70v8AUX08ZAzbhZqn
								9QlbjmX8DxETeUKeqwenpJwpUowbzPmgO4tbx56vUbHL2NR5gwqmxWFAkVSNyKp3aWB76e3nq9RM
								PST658lerShzFU5Wwf8AlNRlbHsVyDjFJJU+cUqsKr3on18tO+29raduer1K71X+rrKfpQn6GJm3
								DDXU3W7NkfSbDaoT+SKWrmwyqxCNz7jbgflttrjve/PV6jNZWzBDmfBqbGKdBHDU2aNVO7QqG72H
								t56vUUT08etrJvqFzx1pyFgWFfy3Geimec09EsfikqDIXqctY1PhBnt5a7RN5O8Lra9rnvz1epX+
								rv1W5V9IeSun+es44ca/Bs8ZwwfpKZFl8n5WXGKermSYnY26xpbbdL3789XqMBkrNlNnPA6bHaSM
								R01WqyRANu0Zd3ew56vUHHT/ANQ/TrqLm/qJkbBMR/40fTLGqrI2ZqFmRjHV0qo97KbgMsgIuOer
								1Drz1er3PV6vc9Xq9z1er3PV6vc9Xq9z1erhJJHDHJNNIsUUSmSWWQhVVVFySToABz1er5on4jPW
								PO34rn4gPVfN3TqOXHOnmTGXpZ0fgpGMsZy7g1TLDFUR7C4JrqiSaqAH/FgHhxO08lEuq2CiXMnC
								o6BQv+lbFesf4P34g2VvTN11l/ksOe8Oy5m2maF5PlfKx+jjqI5ImkVDeCp82km0FpYntoLlU+93
								yYIxplq2VbqB4V9DDIebKLO+UsDzPQSLLDikCTOYzcCS3vD79R8OMMr1J66PwZFK/jtbr3PV6vc9
								Xq9z1erRQ/4V4dQpcR67eibpRFUktk/LGaepBo0C+6cwYrSYYrmwub/yYgXNhY27m9UCXRSK/VDZ
								o6X/AAnr9b1NmXJOFdIMzYyBimXoYcDqaeqezeUECI9iRoCL347mLehesbKL8ouZGk1tu99RylHt
								e56vV7nq9Xuer1e56vV81j8fX12yesL1w4/l7J+LnEOjfpvao6S9PGpWL01XWwVI/nOJJYWPzFVH
								5SOpKvDDEw7nnrFvvHdXAUS5vcQnSK3C/wAFPPVPm30y4DHBUCZRh1BOgU30jTZ/zOONLGl9QpXl
								y5bFXOcdpfXuer1e56vV7nq9RafWJ6lsqej70y9ZfUhnEJPhfS3BajG6HC5pVi/mOKSFaTD6FWYr
								ZqqrlihFtfevyji9ImvE181zoT6OPUr+Jp10xHMuHOMVz51szJiOYsyZvxrz1pErsRqZMSraydo1
								lZYY9zsbA2AsOeYuAwAP4lUHLhCrhyBsq7z/AIT++tbMPTrqxnP0idWZJ8Hzd06r63LNbgeMMFqa
								ebD6tqCspJBc/pIJEI7+Hja/K3TmuFjaKV2QUyrQa3eo5EmjjliYPHKBJG69irC4I44DNHFc+br1
								e56vV7nq9Wo9/wAK4v8Aq3L0b/8AhRq3/wAsjcaX9wpi5/uZq5X8IRFX0gZH2qFvRYbfaLf8iS8b
								b/uq/Sm7L+5irTOKaV17nq9Xuer1FG9YvoW9L/ry6Z1PS31M9LqLPWEqkv8AVzMiqKbHsBqJQB8x
								hmIRDzqd7qpZQTHJYLIjrdTVSAa0RWhZ1j6Q+p3/AIT1+tXLWCVuZ6zqD6XuplQcQ6a9QCjQw4ph
								8cqJNS1UasyQ4jSb1Eig2YFWX3XAXScfAqiy5tyg60Vvq+jX1L5Z9TnR3LGecBxOPETXUcFaJ4XD
								GWKRAQx+I7NxtslJ0naKXMPBaZFG34/T1Vi/jP8A/Zq71zf+CFin/K8XG3ftr1Ujf8JbkT/M1O+0
								bvMr/etr9hOMu/3RHrRbZfcrzrbz4qoyr3PV6vc9Xq9z1er3PV6tXX/hWv8A9m4ui3/hcMq/+wbm
								zjTvDzpp77TR1PwJP+rMcjf96fBv/Kd+UH93VSXLf7kKu24opfXuer1e56vVr0/8Kff+zTnUP/wb
								8mf+XTjTuwVVew1y/wCE7v8A1aBlr/vWw/8ASduNn+7+lIcv+ythTimjCtCv/hUJW4hP+KB6McDx
								+VhkKTp3hDUqT28gVlVnjGkriPiYYKfd8AOUb/uvpSDMv7ma3C/QXlrLmVvTPkWgy3DHDTzK1XWG
								nAG6ZkQAm3+oF4zbCNXTNKbcAIFHJ4pp6kT1I6b5E6wZCzd0u6nZWo87dPs+UFRlnN2VMei82krq
								GqjMckbroRobqykMpAZSCAeaIBFeoo3oQ/Dz6D/h99NpunfSCOtxp6mpqayozZm94ZsRankmYwU6
								mBI0RIoyqEqoLkFm7gBGxYtoWV7VdNaCQKPfxbW69z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er//U
								3+Oer1JTPGeMp9NcpY7nrPWOQ5bynlqA4hjOMV24pGm4IqqkYZ5JJHZUjjRWd3IRFZiAfV6q3vTj
								J1U9Vub6zrX1lww5by/A2zp708p5GkpMIoWcOEDOqedO4AM87KDIw0CIqRp6vVaLTU8dJBHTQrti
								hGyNQALD6uer1Z+er1e56vV7nq9Xuer1e56vV7nq9Xuer1agX4n/AE3zr6DPxGMJ9beFYVPW9DPU
								LJS0udcWpIyYcNx2GmSmnilMaWTzUhWaMsbuTJ4rwN7wZb37ZFMuokUjus3UzLPVbrjheccr4jFi
								GG4xDl+pglp2DA3ghv2+PI/t7dTbRSduNIdMVbD6qP8Aq37qZ/3hQ/8AlbBwP2P92TTadtU6dBav
								MWVJc15pooHqcMpK+h+dRASNpik1/Lg8sLxLbomlTa4NWS5z6o5J9SFTQYjiuPQYNnqko6TCJJq9
								1SCs8iEIhLmwSQgC4NgT2OtuDT8yZ1DEGl6SCKuD9R8Jn9Ied4KVhVH+r1FFG0BDq2ySnBsVuD24
								Zg4TWqIX+GLFJF1L6krIhQ/yOHRhb/kfj5ua9Qa/iM/9XFt/3osL/wCV5+er1W7wf9Wxw/8Aghr/
								AOw/zRr1afHVP3vxZOhCeMfTvDD9+MVHARnv/E6/Omrr7aN/1fHmeqfCfZ8lSqfrrpOI90/7iaZt
								a2YMY/50Hin/AIKE/wD5ZW5IDX2jypYapw/Dm/6uLX/vRYp/yvBxytUL34oTMmbukjKdpGHYmQR/
								3kw89XqP/wCkKSSX019JJJXLu2GtuZtSbVcw56vVXj6G+oFTF17xfI0hvDiUmNVCH4wGSX9nPV6l
								V+Iv0OwLOvXf0h9W8R2NinTuTMeCYPGVO++I/ITOd19APIXTnq9VnfTUWyTgIta0RFv+DPPV6tZL
								/hNB/wBW2J/3v8a/6TNz1eoXvx6mZevX4TpUlT/nEzKLrp3pMIHPV6r9ei5J6dYASbny+5+gc9Xq
								1svwH5HOefVYhclF6t5s2oSbC+LuTYc9XqMN/wAKFWZMg+ghkYow664DZlNj/wAkTEvZz1eq7ToC
								SemOAkm52r3/AOXUfPV6teP8J+R/9vX8UZN52L6heoe1bmwvmqt8Oer1GS/4UWkr6JekTKbEdaOn
								5BHcHZiXPV6rZfS0SekeXiTc+VDqf+XK89Xqom9E+O4rF+LN+Jxgy1sn8tGfqGqSkLEorvhsSsQP
								C4Avz1erY/zTmnDspUVDX4m4jp62spsGRmbb+kqn8tAPaSdAPE89XqUiOsiK6NuRwHRh2IIuDz1e
								rlz1er3PV6vc9Xq9z1er3PV6qOfx/PWv/slehjMmS8q4u+HdYPU+ano/kP5GTZU02GSRIccr0IIY
								CKklEAdDuSWeNh24w+cIG00264EpJqr7/hO/6IIKemHWjN+DrIKHyseUVsYN6h7mkSzAfZsZD8QR
								48TPpC3EtjYnE/Ki2wb1KKzxocf+FRvojr+rnpgyT61em2FB+qfpDrFmzVU0KkVdVkvE6lEm95Td
								vkato5QLe7HJM9xY3VuYEKoxfb1pIo034D3raofU76Y8r4diWJrU5mwenTCsWidwXWspIgrEjw8x
								LN93KnwudRpNYuEp0naKvw4/S6vc9Xq9z1er3PV6tAH8cPL3+1T+OEOjMM7VJ6b5Iyd0+nj+18v8
								1T1ObSgAd7XXFQ3ZftdvEsd5pUT0UWZliAnprv1vemvMv4OHV70M+qDpzR1EHSjrFgeC5U6rimJM
								NHm2hpYpKuGW+0L85TOssYt/lI5jcga1S8paRq2EU2uy0AKTtFbuvpc60YH126NZNz3gmIJiMWI0
								VNM1RCwbekkQeN7gnuvj7QeWYVhpPCjNpwKSCKMRx+nK9z1er3PV6qlPxpPW4/on9E+dcXypivyH
								WjrKX6P9G1pntU09diUDirxJLAkfIUoklR7WExiU/a4xcLgQNpqjiwkEmtTX0f8A4Pdd1q9NnqF6
								+50oJ3penfTDOucsl4RCsiyV+bUyzWzYPAdqMxWOZVmcLrdVWxDcZauCFFCdiRjROzbF4latlW7f
								8Jj+rwzh0XxDLks5Z8HeoweCOQ6hFRalRb2AC31ccWuXEnppRYJ0kp6K2v8AimjOvc9Xq9z1er3P
								V6tMf/hTB6s6/qd1W6L/AIdnTTEpKg4BPSdUOtFLQP7j4riMHl4LQzBDu/QUsz1TqwKkTQt3XRhQ
								1rA4CkV8/oRhtNXRfg0ekTCfT16eMGzPU4YkWPZjplocPqJEAlWlQgzPfwMkgsf+I/Hidj9o6XOA
								wHzr1ixoR11rhfjy9B8d/Dy/E86O/iFdMMO/lvTP1JVKT55XC1McUGbsMEcOJJIAxA+ep3jqFY23
								yGY290kqk4Kjga1fNkp1DaK3IPRd11wPr/0HyVnTBa9MQjqqGmqEniYNvhmiDxm49nb6uVZwJT0U
								pYc1pBo2fH6dr3PV6vc9Xq1H/wDhXF/1bl6N/wDwo1b/AOWRuNL+4Uxc/wBzNXLfhDf9WgZG/wC8
								LDv/ACiXjbf91X6U3Zf3MVaVxTSuvc9Xq9z1er3PV6q4/wAVn0LZX/EJ9FHVzoRiWGwzZ8gops79
								FMcmjRpsNzdhdPJLQtHI2saVJLUsxGvlSt425RxMitESK1f/APhMn6vcew+szH6fM5V0sdTk6r8m
								CjxAlHjgmkaGWMq+oKOpNiNLj2cbfVKUr6KK7Y926U8DW85x+jWqxfxn/wDs1d65v/BCxT/leLjb
								v216qSf+EtuvRioI8JK8H/kBONOD9oj1ousvuV51t4cU0Y17nq9Xuer1e56vV7nq9Wrr/wAK1/8A
								s3F0W/8AC4ZV/wDYNzZxp3h50099po6n4En/AFZjkb/vT4N/5Tvyg/u6qS5b/chV23FFL69z1er3
								PV6ten/hT7/2ac6h/wDg35M/8unGndgqq9hrl/wnd/6tAy1/3rYf+k7cbP8Ad/SkOX/ZWwpxTRhW
								rn/wqJ9CGb/UL6YMg+q/pPhD4v1C9INRX4xm3C6BSaiqybiXkSVk6hQxf5CamSUgD3Ynmcn3eNOH
								SQropp5sLSRTR+Az+Ktkrq70jwLpF1Ax2Ohzll2GLCsQp6xwJGaECJZ1U2uCBZwBofoF9OeE6hsN
								IrN4p8CtoracpaqmraeGro50qaWpUTQVEDBkdWFwQR3HHUqBEijKs/N16vc9Xq9z1er3PV6vc9Xq
								9z1er3PV6vc9Xq9z1er3PV6v/9Xf456vVrd/ipZ7x3M34mnoX6ASYpg9ZlKmyxieeZ8r0cOLJjsV
								RjuPx4fJUVs00YoJKOVMHjSkSB2mWRKgzBUaAt6vVsSZZy/hmW8IosNwujSjp4Io4/KhAA91APDn
								q9Sg56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9QWdaeivTP1C9Ncz9JOr2VafOOQ82wfJ4vg9e
								CLEHdHLE62aOWNgGjkUgqRccqpIIg16tHD1m+gH1Gfh09cMczL0OrKvr36fMDnosWnwiiRpcwYDR
								SBKhFqaWK5eNAbGaIbbasE7cDWY2CFEpOHXVFNSKsOrPxDejPqE9O2f8Op8ZjwfNUlFDFU4JXnyp
								klWrhLKVexBFuR4ckdYeGGFF5ZINCB6C8Dy/nXJnVGkqxFW089XhwB91tDBPxPmq1JWk1ReFEf8A
								VjkvMfSnr5mSPI1e0OHinoKo4fc7LyUiMbDgkyXNlhoTT7TpijhVXWLr50V6cV0rY7X0eU5KKCfE
								8GqD81hssciooDU9QHSwuLWAtw7tN4W3fCeNPtvihZ9In4iOWMnZoxzF6/plDiUmIUK0WJ1eUqs0
								8gQTK6nyKlZFJuNf0gHsHDu3ukpO2RSjWDS19SPXHoL6gupkea6DOMmT69sMocMfDM4U0tMRJEZC
								R5sPmxWBe1yw4oXekHASK2INXJ5czZkvNfp9mwXKGc8KzVV0WUDgsyZfxCkrCsyYL5G1hA7EHdpY
								8Wd4Cma9WqT1T6e5op/xYOk2IT4ZJHR4P07wVKmZlO3dJi9WbX+FteAXO30m3V1mmrr7aMf1PRpv
								VRhIX3iaakWw+NfJxrdT+4mmLTZWy1jX/OhcW/8ABQn/APLM3JAa+0UsNU3/AIc3/Vxa/wDeixT/
								AJXg5etULn4on/MWdJf+9dif/lTDz1eo/wB6Pv8Aq2jpF/3rX/8AKybnq9VU/ol/6vBh/wDEj/6Q
								T89XqON+IbjK4AehWKubJS4pijv9HkU3PV6jsdGcXpsf6YZOxujfzKbE6QVUbfS7A/mOer1a+X/C
								ffpjmDpN0TiyrmWnNNia4piFdIhBH+WYk2v4XB56vU4/j1/875/Cd/8ACiZl/wDKTCOer1X69Fv+
								ddYB/wAu/wBg56vVrYfgPf8AMeeq7/wrea//AC7Pz1eow/8AwoX/AOdf+gn/AMLrgP8A5ZcS56vV
								dr0A/wCdY4D/AMRX/pFHz1erXh/Cf/6v3/FH/wDkheof/sVVvPV6jKf8KLv+rJOkf/haOn//ACpi
								XPV6rZfSz/zqLL3/AC6h/wCkK89XqoQ9Ff8A2d6/E4/8HrD/APy3R89Xqs5/F+6l4t0e9HDdScEn
								NNX5Vz90zrRIpI/RPnjDYJQbeBjdgRz1eo+vR/M/9bMg4BizPveWCMs3tBQEc9XqE7nq9Xuer1e5
								6vV7nq9Xuer1fPR/EP644l+KJ+KxiOWspV5x3oj0OqR0l6dCiJelnpMLqj/Ma5bDa/ztcZCslrtC
								sQ12jiUOAanDsFFOYOaiEDjW8j6Qeh2G9AOhOS8j0tGtJiRposTx4KoU/Myxr7h1P+TUBfpBPjyl
								k2QnUdqsfwoyabCUgUOud8l5X6j5MzZ09zvg0OY8m56w2uyhmzAMRXfT1uG4lTPR1MEinuskcjKf
								geLCJpyvnzegfGM6fhF/iw9YPRBn7GJv6qLjnyuScbryY0xDDqrbiGEVwB2oDUUsyGQKLBzsudvG
								NGpBTxFFjw7t0K4GvoS5ax6jzPgOFY9QOHpsUhSqQobgFhqNPYdOOtr1JmjMGnzl69Xuer1e56vV
								oPdP6gdff+FB3rQzZEWxKLLmd8UyFBPKCRuyv8vlQKCUT3VNGVXS1h3I1KB9UNqNF1xi8kVts/ib
								eiTCfXj6GOsfplMcEOa8TwyPHukuK1QRVoM1YIPm8McO9hEkzoaaVxqIpXtxSW/BA4UYETWvN/wm
								29bGOw4bmb0ldWppsJzx0trKjK1ZguOboqqBYJzA8ckcpBV4JVIYEe6DbjSlRC/bSC3OhZRw4VuQ
								8V0YV7nq9Xuer1aIHr76wYt+KV+KlB07yRM+PdDPTZVSdKcjx0V5aaurYKxRjFegCkMausjEKMpI
								eGGNh3PC514CVnYNlFl6sqUECtzjot0Byx0x6A4V0VehT+XVmFTYPmtIFS08lfSmCpHvKQQFbYtw
								dAL8etGClGO04mjBCAkRWm3/AMJmMbxHpr1y629FMcl24jk7MNTl+tiPu2nhrKjD5fdJ0AK8bUfC
								k9dIm8HzW9XxfRhXuer1e56vUDXqH65ZK9NHQ7qn186iVYpMndKcFrc44wNwR6j5aImGmiJB/S1E
								pSGIW1dwPHlVq0ia9Wgx+Gt0r6k/iIeujOPqN6oXxbMnUTMVVmrGK0ozQQzVs5nkWJXPuw0sNo4k
								BsqKFHbiF5SkNQPuVRKf2z3UK+hnl3AcMytgOD5bwanFLhWB00OF0EC/uxQoEX6TpqfbxY00EJCR
								wo6qu38XH0QUX4gHoQ609BqWiim6iQUg6hdGK+dV302a8EVqqkRHIPlirTzKORwCRHMxGoHPOJkV
								oiRWuj/wmf8AXBXDC8a9NHUOukpMwZEqJMLSgxQtHMlM0vlsjJKdwMUg1W2gsONOHALHrRdbHu3C
								it1gEEAg3B1BHFNGVd89Xq9z1erUf/4Vxf8AVuXo3/8ACjVv/lkbjS/uFMXP9zNXLfhDf9WgZG/7
								wsO/8ol423/dV+lN2X9zFWlcU0rr3PV6vc9Xq9z1er3PV6vnbdKsJpfS/wD8KEfVl03wBXw3AMZz
								tmDFsOw4hkWGmx6ZcxwxKGCkpGk4VCb3UA3PcsAS2oUV3Yh1Jr6F+W67+Z5ewLEb3NdR01W3jrJC
								rH8zyzCpQD1UaVW/+M//ANmrvXN/4IWKf8rxc279terSa/Bh/E8PolyzjeFYhhi4lSySNU0i1MUs
								sQWogCMNsTKSQUJ78ULt9SAoHGg6m87p1Qq86q/4Ut4LFM6R5Vw7YO26ixC//SbhaW7jgseyln8z
								/vaj/wDLS/hH/YK4b/4xV/8A1O5rurn+mn2V7+Z/3te/5aX8I/7BXDf/ABir/wDqdz3dXP8ATT7K
								9/M/72rD/QT+L/gnrPzacqQ09BheIeelLFSUtPUxysGIF7TyNca9xxl151sjUoGTSm2vO8MRFXlc
								NaW1q6/8K1/+zcXRb/wuGVf/AGDc2cad4edNPfaaOp+BJ/1Zjkb/AL0+Df8AlO/KD+7qpLlv9yFX
								bcUUvr3PV6vc9Xq16f8AhT7/ANmnOof/AIN+TP8Ay6cad2Cqr2GuX/Cd3/q0DLX/AHrYf+k7cbP9
								39KQ5f8AZWwpxTRhWKeCCqgmpqmFKimqEaCop51DpIjjaysrXBBBsQeer1aT/wCK9+A51X9PHULM
								Hrt/CyoamGjp55c3dSfTNk9HFbhsg/TTVeXYIQfPpmO5noVG+PtCrxkRxMgFGzEdFJbm2Cx10v8A
								8J78fTD82NhPR/r5OMBzZTsuFz0+LsYYpplPlts8zWKW41U6H4+FO7jxN+ykrVyps6V+2tvbJGe8
								sdQ8CpMw5WxOPEqCqVZP0TKXjLC9mAJt/A8cbdCqMwZpYcdrde56vV7nq9Xuer1e56vV7nq9Xuer
								1e56vV7nq9X/1t/jnq9Wrx+IPY/j0+jwEAg9KcABB/8AB5zLz1eraH56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vVRh6wMx4rgXrFnfD6p4Awy6rKjEAg08IPG1tBW2tg0pfxG/wnvRh1
								uyBnzq7U5Sm6N9T8Pp46qXqF0iZMNkqHeojiDVlEo+WqBdgWO1XNrbxxi5twpJgY1qBVI3Qr0f8A
								4ivpkoM35n9NeI0Xqr6a01TTHE8NwKVKDMUKKszR76GtdVlbYNRDIxubAHgZvMgTcjEQRTTrANFG
								9QHrVx6brLiVP106bYz0nzc1NQ0dfgGecNq8LqUeGmRDeOsjjPsOnClGRKZTpFMG3IFXN9RfUh0G
								6pemHM9PhOY6Kpr2wSjiSnkdN+9WguB93Ao1YPNviRxpMEEGi5ehbptkfOmcs8wO0UkYwmKeLymU
								6mrUaa8XZndONpEGrLUaDr1i9M63JHWSXDst4iYqQ4ZRVYgbVdztLf8AhwxyrN3C3Jq7bxijy5A6
								PZhyTkOLOyOfNTLwx7zqclWDfyzz9CNe/GV7yKUdPXWxcGaRvpDxI9VOseaM05neXE8Zw3A446Wt
								xGR5pURa2MBQ0hJAFzYcLs3dIQPOqPOFVBb6ks/p0i9U+WMcxqlaTC6mhhqj4AiOulNr2PBDuq+k
								NkGnrZUVb/h/4mPR7Gun9RlfMuUMYy5BieCS4QmL4eIK+kRJaAwqxCtFLbXwQ8HLd4jTANLNQoEv
								QrmfotgvWunzHQdVsJSjqMJr6FYMcqBh0oeVotoK13lanboAeXYuiowRFWIoZPxJ8Frsy430pxbA
								kGKYfFh2I3q6EiWMh54WUhkuCCO3FKnUg41qKPb6RIJab03dJoJ0McsWHOro2hB+bm5cGa1VUXol
								/wCrwYf/ABI/+kE/N16jNfiim2WOkJGh+fxX/wAp6fnq9Ru/R07yemfpI7tuY4fMCT8K+cDnq9RQ
								vRDHAmZ8dMEKwo2JYh7kYAGk0ngOer1EJ/Hr/wCd8/hO/wDhRMy/+UmEc9Xqv16Lf866wD/l3+wc
								9Xq1sPwHv+Y89V3/AIVvNf8A5dn56vUYf/hQv/zr/wBBP/hdcB/8suJc9Xqu16Af86xwH/iK/wDS
								KPnq9WvD+E//ANX7/ij/APyQvUP/ANiqt56vUZT/AIUXf9WSdI//AAtHT/8A5UxLnq9VsvpZ/wCd
								RZe/5dQ/9IV56vVQh6K/+zvX4nH/AIPWH/8Aluj56vUdr8ftiv4aXUhlNiuaunbA/EZ3w3nq9Vgn
								pFd5OiuU2dtzGkpbk/8ALkc9XqM9z1er3PV6vc9Xq9z1eqov8bX1tH0R+hDqNmTLuILR9WOrwbox
								0mCOomp67F6aUVeIKDc/6FSLLKjbSPN8tW0bjL6oEDaaqtQSJrWy/wCE7nTPo9U5rqupfUjH8Owi
								XD5mxOF8dmjiDijYLFEN51LSG5H+G/s5q8tgEJSdnGiSxWFulRrdcf1EdCkYq/VrAFYd1OJU1/8A
								lbjJzFkfxUd6x01x/wBovoP/ANvcy/8A+POm/wCaua/mTH9Kvax01p+f8KZsten7PeavTb6uuh/W
								XL9V176XVf8Am+z1lfAauN8SxDAS0uJYfWo0SWJoakSo4ZiSJksAEPHbe4Q4sFBmkN+tHdnHGr//
								AMIz1UUXqI9N2TJ6itWXFf5fT1UkTNd1lESrKmv0Xt9PHFI7twp4Gr2D+tsVbXx2lte56vVgqamm
								oqaorKyoSko6RHqaqqqXWOOKONS7O7OQFVQLknQDnq9Wg/8AgAQTdbvW31w62y0rn+veb8RzmJKg
								EsFxTG6nE33Ek6hSL68LnRLYHSRRcMbjyrfn4Y0Y1oy/jJdHsa/DI/FS6UfiBdM6B8O6L+rCsI6l
								wYeCtPSZvpiiYmrhSQPn4nSsUtq8xmtonE6kwY4GkV4gxqG0VuP+mrrDgnW/pDlDPWC16YhFiVHT
								zPUQsHDh4g6PcE/aU9/bfm7dWEHaKVNuBSQaHvj9XqpT8aT1uP6J/RPnXF8qYr8h1o6yl+j/AEbW
								me1TT12JQOKvEksCR8hSiSVHtYTGJT9rjFwuBA2mqOLCQSaqo/4T1eiFMuYI/XPNuEWnpwldQNVR
								6tVyqTAo3Lr5a3c+Ia3t4i0a3QjgnE+fCkFigqJWeNbYXDSjKtDf0S/9O9fj2+u/pnCy0+G4h1Bz
								TmnCKNG92OlxPGjjVJECzyE7IakLcm5tcgG4CF0eBXVSB3B9JrfGR1dFdTdXAdT7QRfi0GaX1y5u
								vV7nq9Wnt/wqU9bYwnAelXoOydiIWpzS1N1k61SUzqWWhp55IMGw97Xt5sySVUimzDy4SLhjxkpL
								iwgUkvXw22TRxfwLMpdA+ifp/oc34xnTBsGzViFOmHLHiNXDDMDKiz1EtnNwGJCg/wDEhxu4CUu6
								lHAbKTZbpCJ4mr3f9oroQNP87mX/APx503/NXG/5kx/Soy1jprFN6kegcEbzTdX8vxxRgs7tidNY
								Af8ABc9/MmP6Xxr2sdNaFPrRq+kno6/GmrfUJ6Zep2EZs6Tddq6kz1mnCMlzKUwXGsXqJKfGKOdY
								0RbPUr82hUW2yBbkqeKrUBwEJxBoozB9IUkg41vnenPqhh/VnpVljM9FVLUyPTQxVDIwJP6MFGP0
								j8weUYP8J2ijZtepM0OnH6vXuer1aj//AAri/wCrcvRv/wCFGrf/ACyNxpf3CmLn+5mrlvwhv+rQ
								Mjf94WHf+US8bb/uq/Sm7L+5irSuKaV17nq9Xuer1e56vV7nq9Xzw+uEy5l/4Ui+ovFsI3PBhmZ6
								TDKlvdNpMPytRYfMPcLCwkU/H2gHTjKT4V0VX/8AdE19Azp6jx5Dyasn2/5XQsfrpkP7eatf7mny
								o0FV6/jP/wDZq71zf+CFin/K8XLu/bW61df+E5/oe6HeoDLkuausmRqTPuDj5+OTBMY80QuVpRGh
								JgeNvdZtwseNXB1FCTsontWAp1RNbQdZ+C9+GBX1ElVVekTAZJ5TukdcQzEgJ+hMRAH3c2LRvo+N
								G+kVG/4ZR/C4/wC4QMC/8eWZf/Plz35VHRXtIr3/AAyj+Fx/3CBgX/jyzL/58ue/Ko6K9pFDd0V/
								Dh9E3p0x2PM3RToFhvT/AB2NllXEcJrsakfcpDC4qq2UEXHYi3GXctYWQVJkjZtrwAFHc4urdauv
								/Ctf/s3F0W/8LhlX/wBg3NnGneHnTT32mjqfgSf9WY5G/wC9Pg3/AJTvyg/u6qS5b/chV23FFL69
								z1er3PV6ten/AIU+/wDZpzqH/wCDfkz/AMunGndgqq9hrl/wnd/6tAy1/wB62H/pO3Gz/d/SkOX/
								AGVsKcU0YV7nq9Xuer1a4H4u/wCAD0u9bD416ifS61D0J9YVGJcZq6mhQUeXs71Cgy7MTjp1AgrZ
								G7VqL7xP6YPo6NFBBlO2mnWkrEGqNvwx/wAWPrt6NeuFb6QvWZQYjknOGSa85LxSlzmHjqKSoicJ
								5NRvJEkbAgpKCQylWDEFWOlIDmKcFCi0KUwqDimt8bpl1Jy51UynhubMt1aVFJXRpLIkTB9jOu7u
								O4Pgebac1eYo1SoESKELjtWr3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6v//X3+Oer1avH4g3/Z+r
								0d/+EpwD/wBjnMvPV6tofnq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9VCfra/6vBm
								/wDEc/6QQc9XqtS9ZH/VsvVv/vAg/wDLhT89XqKV+F47vlfq4GYsFr8K2hje16eo56vUWj8QTFcE
								xbrvmjJ2dsn4VnvKoocOYYHm/D6XEadTUYciyFFqkcISD3Wx4ketErM8a2DTP6nvwYfQviPRTMHU
								nJ+DZh6F4pFhdDitSOlGNTRUB3CFSvyOKLWU4BL3O1V+nlH7JBTgMa1Aqr30+fhk+qLAsy5rxb0j
								ep7Cs7zYdhwq6jK3U6kqsDrpI/mQEiSpoWrYHJNrs6xjvp4cJXckS9gobKq40kigN9U3Tj8S3IvU
								Oes6renuuzFU4bhtGtVXdP6ugzBG0ALlWVMOmkmP2jp5d+FpyNDPhGFNC2ozVJ+J5gGWOmEvTzq1
								kbFOnuYo8tHA/wCX5voKzC6jd/K/lwfKro4msTbw4HXt13Ur1DZNJzbGakfhhdackZ56iZyXB8Tj
								llqMGWNI0dSb/OxG2nEmeWq0oE9NNuoIoQfxGMv4XiPUTJDVFOGZsFYl/H/e6bjWTLIQY6aqg4UZ
								yv8AT3lOt6G02KUY+WrI8qJXq6+Drg4kv9/E7eaupd28fnXg4ZqrT01dNs2Zv6jvl5K8VcJw2rrU
								VxreJo7fx4K388W2iafL8UKfWvN/VX005jyzR0eK4hhlNiENRWLHh80ny7eVIqe/C14279ip4vsM
								8Q+nxU83cTVhnpr/ABMepWVcl5So825foc4ZX8gGnby/5bWrH5jltskCmMkse5j4IbbM2/tB2U6H
								AaFD0Y5o6SY96isIznl7NEeFTVi4sJcCzE0dNMslXTS2VH3GOTU2G1r/AAHFjD6iqDThih//ABRE
								dsrdI2VSVSvxXcQO16en4trVG29G3/VsvST/ALwJ/wDy4VHPV6ijeiH/AJiTGv8AvZYj/wBJpOer
								1EI/Hr/53z+E7/4UTMv/AJSYRz1eq/Xot/zrrAP+Xf7Bz1erWu/AhNs8+q8juOrea7f+PZ+er1GI
								/wCFC3/OvvQR/wCF0wD/AMsmJc9Xqu26Af8AOscB/wCIr/0ij56vVrw/hP8A/V+/4o//AMkL1D/9
								iqt56vUZT/hRd/1ZJ0j/APC0dP8A/lTEuer1Wy+ln/nUWXv+XUP/AEhXnq9VCHor/wCzvX4nH/g9
								Yf8A+W6Pnq9R2fx/f+zaPUr/AMGrp5/7G2G89XqsC9IX/Ok8pf8AeJS/9IRz1eo0PPV6vc9Xq9z1
								er3PV6vnn/jfeonMX4if4h1Z0J6VVT4z009NC1XSXLK0bb6epx1KkHHsQG3cPeqY0pVYEqyU6MPt
								HjDahqKzsTRVmTxjSNpoROmP4Bf4m+V8p5ezN0mx7BsuU+ZaODGFwjFcyNQVMMdTGJVWaEwOEezX
								K3uOx15tV866JCcKYt8pgYmDQkv+Cn+M7Ixd845ZZj3Jzgv/AJzcZ8f9EUo/lv8AfVw/4ZQ/Gb/7
								C/LP/qXr/wCc3PeP+iK9/Lf76gb6jf8ACen8WPP0LTY1LlDHazsorc4IB97U3HmnXEnBIFVOVA7T
								XL8HL1C9V/Qj62M++hP1D0rZTzpkrGJ8vS4PU1CzQJWQ/pB8vMLCWnqYWEsLgWZGBGhHHLlzvUz/
								ABCmmGzbuRwNb/OF4lS4xhtDilFIJaTEIkqoHHirrfnkL1CaO6n8tXqKv65+oq9IvRZ6tOp5k8ub
								InTfOuZqH7V3qqXLtXJToNliC8oVQbi1+478o4YSa9Wq9/wlr6eypgmL5tmp9vmT1NS01u6pSBAb
								/wDE5LcSLHiQKLrXF1RrdJ4uoxqu78VP0T4Z6/8A0O9aPT18rA+eKuj/AK6dHcUrDs+RzdgyvU4e
								4k/3MT3elkextFM+l+UcTIrRE1QL/wAJtvW/jFblvHvSr1WnmwvPHS6qlyrWYPjYaGqgSCYwbJI5
								bMrwyAqykXUaHXiZSoIX7aQ2x0LKD6VuF8WUvrRA9ffWDFvxSvxUoOneSJnx7oZ6bKqTpTkeOivL
								TV1bBWKMYr0AUhjV1kYhRlJDwwxsO54XOvASs7BsosvVlSggVuo+nXo9hPQrpBk7p1hdOkMmE0sc
								mLyQAASVkiAym4AuFsFU+wDj9myUIx2nE0YoQEiKG7iqrVopetnDv8xv/ClbFcwRKaHD+tWD5Qzj
								Emqo+7LcOByst1H2qigdjqfeJ18AlUnFQovvMFJPXW8ZlKv/AJplbLuI3ua2ipahj/rNCpP58dYM
								oHlRhSh47XqD/qx1Pyb0U6Y9QOr/AFDxQYLkbplg+I55zXiZsWiocMpXq5dikrvcqhCIDdmIUanl
								VKAE16vmYP069Qn4vnrH6ndXKDCpKvNPWbM0lVQUMkhaDDqWZ1psPoVlYWENFSJFFvPZEufE8aau
								O5TrP3K2UQXup9zQNlWuYV+BF+LhkOBcGyLnbLqYLELRRNm5kX2fZkpjzy33l7UilCMrgbanf8Mo
								fjN/9hhln/1L1/8AObjXj/oir/y3++rHL+CX+MxNG8UmbssMkg2upzeuoP8A3zc94/6Ar38t/vqK
								F13/AOE+X4qGB5Yzb1Qrcu5bzi+SsNrs519BgGakqMVqUw2neteOjhMCmWdhGRGgILNYDU8VM3Li
								eAFNryhJG2rmP+E5fr+Tq909fpNm3Ft2ZMreXg1VHVMBI8JuIZCPaCNrfXxt9Q1BY2HbTtiopJQe
								FbZ3HqM69z1erUf/AOFcX/VuXo3/APCjVv8A5ZG40v7hTFz/AHM1ct+EN/1aBkb/ALwsO/8AKJeN
								t/3VfpTdl/cxVpXFNK69z1er3PV6vc9XqSWfs8ZZ6Y5Fzn1IzpiSYNk/IGFYhnTNWLz/AGKbDsLp
								JK2olP8AxCONjzRMCvV88D8LDDsz+rb8R/rF6k8XoJExTqzm3G89SwVPviGozPjcuIiHcgtaFHCA
								KLAWAFrDiN9Wm3J4qomWe8uAOAr6MdHTJRUlLRxf5KkjSmj8PdjUKP4cVoTpAHRRzVZ34z//AGau
								9c3/AIIWKf8AK8XKu/bXqpI/4S3f86Yn/wCXlf8A8qpxl3+6I9aLrL7ledbePFVGNe56vV7nq9Xu
								er1e56vVq/f8K0KOqqfw2+klRT07zQ4Z1qypXV8kakiGE5TzTTh3I7DfKq39pHGneHnTbo8Jo5H4
								D7iT0XZFYG/++jCFP1QOOU/15VJMt/uQq7niil9e56vV7nq9WvD/AMKgqykpvwps4UlROsU+L52y
								XhuHxv3lm+fkqCi/HZE7fQDxl7YKo4fCae/+E9eGz0PpBy2ZRZf5bSkX7/pJGcfw5Q/3c+VIsu+y
								tgPimjCvc9Xq9z1er3PV6tfj8d78IXKPr36H471z6TYBHgvrM6J4ZNjuRMfwlEhmzZh2HxtUvgVa
								bqJHZQxo5HN0kshIjdiG1pjEbabcbChBqvX/AITbfiAY91MydN0Wz5iz1mOZNeLBi1XIzvJSSExx
								kl7XKMpF/YL+PKPkCHB60gs1FCig1uI8fozr3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6v//Q3+Oe
								r1avH4g3/Z+r0d/+EpwD/wBjnMvPV6tofnq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9VCfra/6vBm/wDEc/6QQc9XqtS9ZP8A1bL1b/7wIP8Ay4U/PV6ij/hdf8wx1e/7z8K/8p6jnq9R
								R/xA/wDq5rNP/eBg/wD5b4+er1WqepL/AKs8zr/4LmH/APK1Nz1eoh34YJP+cjqSL6fyOHT/AL74
								+er1JP8AEFzFjGDeoplw6uemUYHhj7EYgXLz+zlFtpVtrc1aJjeWcp5y9NEJzrlLC85UzZLixGeg
								zVh9JiNPJImBiUFo6yORTr7RzykApitVqGZiwzJ3SD8U3pRRdJckYX0zwDqDkaixXM+XskUcGG0M
								9d/NZYjP8vSqkasyqAdqjsOAXPWpt1TjBpq6Hhqxb1U5Gp+qfV7JOAQ1Ygn/AJQlK0hOiGWvlFzb
								2X4FMlt1KbUR00jYbmuPqW9Ov4k3SDKLYn0ayhh/W3psmA/KVOH5QxSJcVhp/klh/wB48QFO0h2m
								9oi/Y8FKN0wUhR27aUflhVQPo99bEHRTr1BhXqBybinS/GloK3DJ8PzjQ1OHzB3kRLgVKJuW6Ebh
								ccQZpky1t+DGm3bc0ez1kdaemPWDEemWJ5Rx6mxenagrlkWJ0YqWniIBseE2XWrjQUFCKYSkijtd
								DujWTs4+nzpu9Vh6LUTYe589AAb/ADMo78LLi8Wh4waqVEGqgek2F9Rst9YKrCcArZMSw6F8TqEp
								nJLKKbe4sfht4OmM7LaATSpL0CrYst+oGTrFlXBOlXUnE5J5sCkl/kNRirFqmjcxrGVLP7zRWAGt
								7eGnBOzed6gKSdlKm1g1eN6XsGly/wBBenODTf5TD6Woga3Y/wCnzkH7jw1aXqSDVyKJR6If+Ykx
								r/vZYj/0mk45WqIR+PX/AM75/Cd/8KJmX/ykwjnq9V+vRb/nXWAf8u/2Dnq9Wtb+BF/zHHqw/wDC
								t5r/APLs/PV6jE/8KFv+dfegj/wumAf+WTEuer1XbdAP+dY4D/xFf+kUfPV6teH8J/8A6v3/ABR/
								/kheof8A7FVbz1eoyn/Ci7/qyTpH/wCFo6f/APKmJc9Xqtl9LP8AzqLL3/LqH/pCvPV6qEPRX/2d
								6/E4/wDB6w//AMt0fPV6js/j+/8AZtHqV/4NXTz/ANjbDeer1WBekL/nSeUv+8Sl/wCkI56vUaHn
								q9Xuer1e56vVW1+LL60Kb0LeiHqz1ew7FEoOpeOwf5tei1O21pZc0Y1FJDTyxozLu+TiWWrYX+zE
								RqSAWnl6U9daUqBNav8A/wAJ+PRdUdTuob9Yc84fJiVG0rZhxKsxPdI0sMcnme+0lyxnlOpOpBvx
								HdInS0OOJ8ucKKLRPeOlZ2VvSKqoqoihUUBVVRYADQAAcMQKOK756vV7nq9Xuer1aVv/AAqB9KOO
								dHuq/p6/FK6R0ctLX4VWUHSrrhUYejFY56MmowXEZSpJAkjSSlkY2UeXCvd9WidKp4Gkt2zrR11s
								Q/hZ+qzBPVH6Zcj5ooa9aisehhqJIQ6s0b7Qk0Z2k6pJe/08qjwrKfZW7R3WirMeP0pqmX/hQR1G
								PTf8JD1bVVPIExPONDgPTfDEbZ75x3M+HUNQPfVu1M0zCwvpoQdQ08fDVVHCid/8Jtunr5d9M1Nj
								csHltV0kku61iTU1d1P/ACDGeMRLw6hSHLxgT11svcWUYV7nq9Wi1+Lz0ixj8Lf8WDpl67+m9A+G
								dC/VvVvVdQIMOQpS0ebYXRcWjcIAq/OLIlYm43eVpbaJxMpMGOBpFeIMBQ2iry/WD+KFk3Bvw2M9
								9SukOeaeXrDnjDouluQThs6tV02I43RuP5jGE3EGCmWWWNyLecig9+NKcUEaeOz9asbxGjVNEZ/4
								T3eh9cs4RN1wzdhFqil21lE1VHq1XID5Kjcuvlrdz4hre3jOjW6EcE4nz4UxYoKiVnjW2Bw0oyr3
								PV6tI7/hRhgcXTX8Vf8AD466UwFE+bssxZKr54lCCV8vZpqKwszADc5jxRVJJJ2qo7AcZP3+lIr8
								eCeitwj08Y3/AFh6M5BxPdvMlEkZa97hWIH5W5W1PhjopU2ZSKGniir1qs/8KcPWZU5Q6S9NPQt0
								9xdv67de6iHO3VKhw1v08WVcOq9tFTSbWBArq+LcBY3WnYGwbVhzxKCaTXT2hBNGA/AV9GNJ0d6P
								wdTsdwpVxmpiFJhlRMg3GqqIw9RIpIv7qsEB+Pw4nH7V+f4UbPPn40ny5nSnUdprYm4voxr3PV6v
								c9Xq9z1er553qj6dYj+DT+NlVYvlqCXBPTj6laodTMkMAyUdPRY3Vt8/QqxYqP5fWB1VSSwhEbH7
								erKUjFBouvE6SFjhW+/0Z6h4f1P6dZazdh9UtWK+miNRJGQbvsBvp/iBB55hUiDtFL0KkTQpceq1
								aj//AAri/wCrcvRv/wCFGrf/ACyNxpf3CmLn+5mrlvwhv+rQMjf94WHf+US8bb/uq/Sm7L+5irSu
								KaV17nq9Xuer1e56vVqPf8KDPxOcMxXK2Jegb0949/OcXzNULhvX7M2BPujSKGVWXAoJYz7zNIN1
								YRooURXO6VVSau9VpTsG00ivLsNp66Gj/hP16JZ+meR36wZjw35dzu+QmmWxnr54xuI0F1iRvvt8
								eNKWHn4H2o+POPspjLWSAVHaa2eeGFGlVi/jP/8AZq71zf8AghYp/wArxcbd+2vVSR/wlu/50xP/
								AMvK/wD5VTjLv90R60XWX3K8628eKqMa9z1er3PV6vc9Xq9z1eqgT/hTL03xHP8A+Et1hxfC6GSv
								quleP5S6lNFTB2dIo8YTBZZNqG5VExIs+hCqCxsBcMvbKqoSKDH/AITfdacFz76R8u4BBWxviGFU
								zYTNAHUuJKOQ7Rb4xtu5pQh0HpFIcvOBT0Gtknj9GFe56vV7nq9Wpj/wq060YbP0R9MHpKwio+Zz
								h1GzmnWXG6GlO6SHBsu0FVhNOsqg3C1VVid49NTTt7NWl4qApNduaWyath/Br6bzdPfSRlilnQof
								l6DCkuLG9LTBnP1mQcYZVqdWfIVWxRDYq1LMmZcu5NwDF81Zux6jyvljL9PJiuO5izBUw0dDRUsK
								75JZ56hkSNFAuWYgDiskAY0rouPRb1n+nn1D5jxLAejXUGjz3BhZeCbGsJc/LyTI23bFvCl1NjZx
								ofC4IPC5nMkrc0gGOnhNa1CYnGjU8Mq3Xuer1e56vV86P8JPEKc/ig+p/HunKeX08zFnLNFZlaCi
								1iOHVGZqh6IJtZgR5VttidPE8RvKAtzRU4f8oEdFfRYiDiKMSf5QKA/0214rTso1rJzder3PV6vc
								9Xq9z1er3PV6vc9Xq9z1er//0d/jnq9Wrx+IN/2fq9Hf/hKcA/8AY5zLz1eraH56vV7nq9Xuer1e
								56vV7nq9Xuer1e56vV7nq9Xuer1e56vVQn62v+rwZv8AxHP+kEHPV6rUvWT/ANWy9W/+8CD/AMuF
								Pz1eoo/4XX/MMdXv+8/Cv/Keo56vUUf8QP8A6uazT/3gYP8A+W+Pnq9VqnqS/wCrPM6/+C5h/wDy
								tTc9XqIb+GD/AM7J6k/96OH/AMr4+er1Bz+Iz/1cW3/eiwv/AJXn56vVbvB/1bHD/wCCGv8A7D/N
								HZXq09eten4o/puf/HkKlX7sYl4Cs7/uC6auvto7nUfMOIUXqkweJJTsSgpdqk/9LsnC/dRALJpm
								1rZMxeaROhWJ1CMVlTKU0ysO4YYOzA8kJoeAeVLDVKvpUyrkL1JdRajpZ13yBg/VXJtVg2IVJwjO
								1BT16I8ZjVXjM6s0bqJG2shDAm4IPGhaICpivE0RP8Sr8F/IuQMfwDMnoczlWdMM9VdNWY5h/R/N
								WITVmX8RWB0VqWjnq3MlNIdNnmuys2jOoO5S6/tkjGMK1oBpZ/hXep2v6ldLKbpDnnCpstdS+lr1
								GWM0ZexRGiqKepp6mQOrI4BBB7gjkXbw5b3TmobDRa+3BpF+lKlgrPU2tPURiSKQY8rKwv8A7jNz
								d+YY9lUVsrh65sEm6L9TukWd8s3o4Mbr6yjxKKHRWXbCew+nhtupfq1FJp63XWxN6Euox6hdB8FM
								svm1GASNh7Pp/k5f06DT2bj35J7J8NL5ovPoh/5iTGv+9liP/SaTjteohH49f/O+fwnf/CiZl/8A
								KTCOer1X69Fv+ddYB/y7/YOer1a1/wCA+Ac9+q4Hserea/8Ay7Pz1eoxH/Chf/nX/oI/8LpgP/ll
								xLnq9V2vQD/nWOA/8RX/AKRR89Xq14fwn/8Aq/f8Uf8A+SF6h/8AsVVvPV6jKf8ACi7/AKsk6R/+
								Fo6f/wDKmJc9Xqtl9LP/ADqLL3/LqH/pCvPV6qEPRX/2d6/E4/8AB6w//wAt0fPV6js/j+/9m0ep
								X/g1dPP/AGNsN56vVYF6Qv8AnSeUv+8Sl/6Qjnq9Roeer1e56vV7nq9Wh3+O/wCpDEvW7+IZkv0c
								9Pa7+YdN/TNM+WMakw8lo6rNuIiGXGJGK6H5NI46MBhdZUmsbNxODKyTsTRbmLpA0jaa2w/w2/Td
								hXpz9NuUcLhoFo8XzJTU+J1qqoUpTrHanj/5BJf/AIL4cYsgVS4f4vhSq2a0IAqwHi+lFe56vV7n
								q9Xuer1Fq9YvplyV6yfTF1p9M3UCJf6u9XMDqcuJXugdsPxFStVh9fGGBBkpKuKKdLi10F9OVWmR
								FerSr/AB9SGfPSP6muqnoW63LLl7NnT3HMQy7LgWIuwMVZh1S1FVwIXIurbLoRo2rDQ8YXJQFDaK
								LE/snY4Gt+KmqYaymp6uncS09Ui1EEi9mR1DA/ceKEqBE0Z1rHf8Ksc/T4H6CejvTahl2VXVbqrg
								VLXxEn9Jh2D4PimISKArC5+Y+XOoIsD2Njxp3gKafMINH1/BRyGcl+jvKAkj8uWoosNpmAFvejpf
								Mfx8TJxprF1R8qYsEw2KuD4rpZXuer1VvfiyeiHDPxAPQx1n6DJh8dT1Cionz/0Ur5SiPS5wwWGS
								ooAsrg+WtVd6SV/COZyNbcbcTIrRE187r8NvLfVPrh1pwnonmVa6p/qjWvQVWXMTjmEtNWQVCwPE
								0Mg3I9zqhFwb6X447eIQwVHbQbdtCH4Gw19Pn07dH8K6GdIsn9PMMp0hlwumSXGJIAAJK2RAZTcA
								XCn3VPsA4ls2ShGO04mhGhASIobeKqtXuer1aiH/AArQygsPTX0GdaEjKVGQM+Y5klaxLgouY8Np
								K21xIPHBrj3D46rqGac+4Umu0y2a2Afw4s5pnf0q9O8WSYTiWkpp1YG/uzUkTj878bt8CoddbtVS
								gUc/NeacvZGytmXO2bsXhwDKmT8PrM05nx3EG209Fh2H071dTUSsAbJHHGzMfYOKCYFKK+dt05xb
								Ov4sv4nmfPULjOFzPgWY8ehhyVgNSLigwakK4dg9GQCyh46eNGlKmxlLN+9xEt0obK+J2UTXJLro
								SNgr6FXS3p/hPS3p/lXIOCxqlDlukjoN8Y2+ZKBukkt/rOSfh249bM92gDj86OEiBFL7iit17nq9
								Xuer1e56vVr6/wDCj/0LS+rj0FYx1RyTg7V/Wz0jS1HWPJMtCm6qqMDCRjHqNdoJKmnhSr2rqzUy
								qO5BadHHoqjiAoRQH/8ACdD1zx9dfT/hPTnMuK+dmjKKJlmvhqZN0haFbQObm5LL7pPtvyq/CsK4
								GkVisiUHhWz1x+jCtRv/AIVzyCL02+jqVtBH1FrnP1YGx40v7hTFz/czVgP4Rnq86B4V6QsiU2Zu
								oNFl6uFDh96WrE7sSlKEe/kRvaxFtbcq7DS1FXGktg+nuxjVnJ9b3pUW9+tGGC3f9FX/APnPxP8A
								zJnpPsP4Ut71PTTDiH4gHpEw7d5vWWhlCjeTBT1x+r3oBrzRzJvhJ9DWu+R00XnqX+MT6K+nFLNM
								c4VmZ54gWEOC00aLcAGxarliI+pTyv8AMFH7W1H2Cml3jaeNa9/rq/4UFdSurWFYx0u9NGFv09wf
								GFfDazHMGmefGZ4pAY2QVSBPKVgdfKVW8NxFxywYfcEuEIT0Db7f3UXP5rOCBRdfws/wr+rHq06k
								QdXuptFPg+QMPqVrcWzJi6PtkJcO0MHmD9JKR3A7dyRfVl26Kx3VuMOJ4D8T1VS1sluK1Lre7yJk
								fLPTbKWBZIyfhiYRl3LtOmH4dRQACyoNWY+LMdWJ7k8X29ulpASmj0CKVvH63VYv4z//AGau9c3/
								AIIWKf8AK8XG3ftr1a6f/CZ71G9KunnTTGMCz1mmny3JQzVStPW+Y2k0COvuxK7G507c08iNKjso
								ptHgHFA9NbX8nrZ9K8TlJOs2GK47jyq/9lPxMcxaHE+w/hRl3qemuH+296VP+30YZ/0Sr/8Azn5r
								+ZM9J9h/Cvd8npr3+296VP8At9GGf9Eq/wD85+e/mTPSfYfwr3fJ6aEDI3qK6LdSqg0uRc/UuZKh
								WETRUEVXcMTYD9JEvLJzBomJPsP4VZKgdlDVxbVqC/rb0gyX6gOj/U3oh1FoTiORurGB4nkHNFND
								tEvyeKUj0jvEzqwWWPfvjax2sAfDmlJkRXq+d76a+q/XL8BX14589MHXyCojyKcQWvy3mmmilWgx
								bCJ5CaLFqIto8U0Ys6i5Rg0bWeNl4yBqGk7RRW+lTS9Y2ca3tfTr69/T/wCoPK2D45gmeKClqMRi
								SYFqiP5ZywvdZNxC/Q1vpPKl/QYWI+FLWrhKxINHJhxzBamAVVPi9LPSkeYKmGoiaMra99ysRbjn
								foiZFP0RH1f/AIlHpl9H2TsXxjNWc6XOGc6aKT+T9O8o1UNRWVFQoFlnkjLx0yXILFzutfarHTiV
								eYImEeJXV8zTTr6UCSa0qsnw9dfxZPX6Osmc6KTH8RxevpqbBcKoInFDhuHUZtTUlMjFvLp6dbsS
								Tdm3O5LMzGrr3cJlWLitgolU4q4XA2CvoDdF+meH9H+mWUunuHMJEy/SpT1VQgsJagjdI4Hs3Gw+
								FuKLRgtog7ePnR8lMCKVmc8nZX6iZPzVkDO+CQZlybnfDq3KWbMvYkpanrsNxGmekqaeQAglJI5G
								U2N7HigiRW6+eF1Ey/14/wCE+P4iFTlfE6zEcy+lXqfVSZg6RZxnLtFWYE1TdYHkHurXYeXEU66X
								NnACSR8TpbT9houum1JVrTW7d6S/X90N9TmQsBzFg+d6COuxCGNzJLPHHFIxXW5JARwdGVra9vYN
								97owX7aUs3CVjA0dyqzFl+io3xGtx2jpMPjUyyV1VVQRwqg1LF3YKBp3vyyrhsCSoR50orXd/GF/
								GD6edK+j2ePT/wCmrNMOcur3Uahq8mY1nXAZDJRYBQV8D0tQ1LPER5ta0blYmjJWMnfuLKF4mFz3
								x0t4jieFI7m8Q2NuNEQ/4Tz+h/F6fG6zrPj2ENR4NRSR4lUVcibRJKl2p4FOlzf3mt2F/hxt9Ycc
								DSdicT+HrSTL2ypRWa3KeGdG9e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV//0t/jnq9Wrx+IN/2f
								q9Hf/hKcA/8AY5zLz1eraH56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vVQn62v+rw
								Zv8AxHP+kEHPV6rUvWT/ANWy9W/+8CD/AMuFPz1eoo/4XX/MMdXv+8/Cv/Keo56vUUf8QP8A6uaz
								T/3gYP8A+W+Pnq9VqnqS/wCrPM6/+C5h/wDytTc9XqIb+GD/AM7J6k/96OH/AMr4+er1Bz+Iz/1c
								W3/eiwv/AJXn56vVbvD/ANWxxf8Aghr/AOw/zR2V6tPbrj7v4n3pmfwbItOPuxeQcBOd/wBwcpu6
								+2jc9YG8v1T4R4Ww6mPx0rZOIt0v7kaYta2aMX/50Hin/gnz/wDllbkgNfaPKlZqnD8Ob/q4tf8A
								vRYp/wArwccr1GX9f+GYrifVTonFhSuZRR4hcx30/wBLg9nE9ysBJmtiqZvTJl2DOH4hXqR61ZHp
								BS9O8arqTBKWpothpsQrcJwmmwvEK1GiurCprYJpgw+0Gv48jXee4SWgkbaR3hFSPSR/1dFF/wB/
								7/pDNwmzD+4eykqtlCb+JbRw4jTdII3tajrcRq5G00CxQW47uuklw1e3GNXIfhj5Rrsv+lvLOO4j
								C0E+dp6jHKWOS1/lI3NNC1u43BCbHkvWv2UZUG/oh/5iTGv+9liP/SaTiivUQj8ev/nfP4Tv/hRM
								y/8AlJhHPV6r9ei3/OusA/5d/sHPV6tbD8B7/mPPVd/4VvNf/l2fnq9Rh/8AhQv/AM6/9BP/AIXX
								Af8Ayy4lz1eq7XoB/wA6xwH/AIiv/SKPnq9WvD+E/wD9X7/ij/8AyQvUP/2Kq3nq9RlP+FF3/Vkn
								SP8A8LR0/wD+VMS56vVbL6Wf+dRZe/5dQ/8ASFeer1UIeiv/ALO9ficf+D1h/wD5bo+er1HZ/H9/
								7No9Sv8Awaunn/sbYbz1eqwL0hf86Tyl/wB4lL/0hHPV6jQ89Xq9z1epCdUU6jy9N8+RdH2wpOq0
								2EYhB04mzzPUU+DRY29K60UlbJSU1ZKIEmKtJshclQQBrzSpjCvVqhegP/hPP6oOg/qJXrV6nuq+
								ReokNdikuZMwz5MxvM+IYnWSVVQaqoeQ4rgVAHeR2JYmQXJvfhTc2twpISkgAnHbs40nVbJUvUa2
								9IYooIooIYxFDCqxQxRiyqqiwAA8AOGyUgCBSisnN16vc9Xq9z1er3PV6vc9Xq1hPxGPwLus/X78
								QzJ/rr9Iefcn9MsRxKkw+brJg+fsQxzDJ63G8NPyi1tGMFwjEI28+kSJZRIVu6Mx3eY1kzra8dPG
								mXmAsVsRdFMt59yh09wLLXUWuoMTx/B4YqR6/AJ6mohkCxqG96pp6dtGvb3e3s4xlzb6EEOxM4RO
								z1Ap4DCqZvxwfwvPUp+JmfSxg3RHOuTMnZV6JYlmDNWdo+qWJ45RTV9Vif8ALIaX5WPCMGxJSIYq
								WcMXdbmQADQnih9CyQU1RxAUIq0T0W9A8w+mvoDlLpTmvEKLFcwYEoTEMQy9PU1FLIVgjiBR6uCm
								f9w90HE+XsOoSrvCCSZw6K822EpgUa7hhV69z1er3PV6qaej/wCEtlDo1+Jj1v8AWzlpsIi6ddYI
								o88rkqPz1xCgztUWXEJkhFP5BpqiQGr8zzt/nOy7AoDcLHrFS3kqnwDGOk/hxquhMzxq5bhnVq9z
								1er3PV6qlvxoPw+c+/iUejqm6A9L8ewHLOf8DzfgfVDLeNdR6rEKPC4ZMNpa6gl3SYZQ4jMHMNfI
								EAisT3IHGnkEjDbWlJkRQqfhpelPrD6PfT/gfSLq9mTA8z4xg8FPSLX5GrcRrKUeQGQBTiVBQuFs
								f8PENmzcJdWVkaTERt+FUaaCEwKZ/wAWP0zeqH1j+jzN/pq9Leb8sZCx7qnWUWE9RM0dTsTxjDIl
								yzA5rKimpWwXC8UkaWpmihjkDKimEyKSd1uLXkqUmBTlEi/B4/B46hfh91eIZi62ZlytnDNLQsML
								n6cV2L1sEdS48tnb+a4bhx0QmxsdfDxCEWzyngVkaE7B10natkpUTxNbBXDSlFe56vV7nq9Xuer1
								e56vVFrqGixSirMMxOjixHDsRikocQw+ujSaCeCZDG8ciSAqyMpIZSLEaHnq9Wqh6SvwGfU/6KPX
								B1O6v9Eeq+S6T0xZlxutxXJmSK/GcyJmKkwaaqaopqWphXBJKZpKdWEYZag7tu64LEArvGLhTZS2
								R6z+FMG3GsKrapwoYkMNoVxjyv5qsSLiBoWZ4TKFsxQuiGxOuqji9jXoGv7uMU/VH/4634YPXD8U
								Lox0U6cdD835UyfjHTXMlZnTGK3qvXYxQ00kM+GmjjWBsHwzE3Zw5uQyqLeN9OadQoxFVUkERVDm
								UP8AhM7+JjkvCqfC8B9SXTDCaeJQHp8NzVnuOLd3NlXKwHf4c2p189FFv8rRNKc/8JyfxSj39UPT
								X/1K89/+4vyku9XPpW/5WjpNRv8Alm3/ABNah71vqY6ayIe+3NWeifzywOb1PdXPpWv5WjpoZcp/
								8Jd+s2L1sb9VfVxglLTb7SvlvCsYxqQx6aha6bDRfvpu+vXSpNwf4gKuMsbq2n0w/gD+ir0/VuH4
								/mwYr1wzJQNFUIc4NDRYSJYtdwoqEB2BbUrLO6kAAjvdo2Os+NRPuFKm7ZCdgq7LBMCwTLOE0GA5
								cwilwDBMLjWkw3B8GgipqWniQWVI4oVVVUeAA4sQgJEAQKfp15avV7nq9RP/AF++n3N/qs9GXqL9
								OeQsSw3B849X8t1WTcv4nnGaqp8LhqKh42DVMlFT1cqpZTcpE5+HKOJJSQK9Wm704/4S3fiPdN4J
								VwP1C9KcKqXb/L4PmfPUJKD7IbblVe3Khx8CMIovdy5ClTQsH/hOX+KYxu3qi6bMe12zZnsn/wBh
								flJd6ufSqfytHSa4/wDLOT+KV/3FB01/9SvPf/uL89LvVz6V7+Vo6a9/yzk/ilf9xQdNf/Urz3/7
								i/PS71c+le/laOmrR/w0Pwo/XZ6PeoaZg6z9cMm52ymZ46ufCco43mOtnO1gTb+aYFRjsO28cQ3b
								Nysp06QARO3Z7Kft7MNmQa2ReG1LK9z1eojHrw/Dq9Ln4i/S4dNPUdkj+ZVWEiabInUnLjR0eZst
								VUyhWlw+saOSytYGSCVXhkKqXQlVK0WgKrRE1qH9S/8AhPn+Kf6N8w4hi3ou6tUPqK6egy1OH4ZQ
								4pBlfMccaPcLUUGOzrQyNstZo6pmYg+6PdDUJWBBEikDuXpJkGDQX1XS78dJYxl7H/THn0SlAHqq
								DCJKyOxJX/LYfJLFfTUXvxItts7W6YNm9wVQr9GfwPvxGvUjmmjxfr3gn+a3LUkqyV+J9Q8To1k2
								b/fCUdBLU1JYDtujVT/iHfmw44BDaAnrNVTlRJ8Rmtub0QegPo16IMjQYDkejGNZyrIEgzLnmuiV
								J6ggAtHAgLeVFcXtcsf3idAN21iEK1qOpfT+FGjLCUCAKPVxfTte56vUVz1f+jb0+eunoxjnQn1H
								5HjzlkrFWFfhtXC/y2KYNiMaMkNfh1WgLQVEe42NirKSkivGzKarQFDGvVprdXfwAfxPPRFm3Ece
								9BnU1PUX0qmlaow/L8eJ0WXc0UkGjbKqjxmeKiqCg90PDOWexPlpcLxs6wIIkUhdsUkyDBoGarod
								+ODn5v6pZi9NefMOkkPyk1VNhMkdNcjU/M+Z5Fv9bdbiNSG5/uePlSZVk7/SqwD0W/8ACffr1nPN
								OG9QvWLiUeQsJikjxCbLTVdJimM1Q3B9gSikmghuO5eTcp/cOvPLD7g0gaE++rM5WkGVGa28+mHS
								/I/RzJOCdPeneBRZeyvgEQpqGhphqxAsZJG7u7W1Y/w4qtbVDKdKf3+dGgAAil/xRW69z1er3PV6
								vc9Xq9z1er3PV6vc9Xq9z1er/9Pf456vVq8fiDf9n6vR3/4SnAP/AGOcy89Xq2h+er1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1UJ+tr/q8Gb/AMRz/pBBz1eq1L1k/wDVsvVv/vAg/wDL
								hT89XqKP+F1/zDHV7/vPwr/ynqOer1FH/ED/AOrms0/94GD/APlvj56vVap6kv8AqzzOv/guYf8A
								8rU3PV6iG/hg/wDOyepP/ejh/wDK+Pnq9Qc/iM/9XFt/3osL/wCV5+er1W7Rf9WxRf8Aghr/AOw9
								zRr1ae/Xf3fxNfS8/bfkeH8sYk4Cs7H7BdUufto2PW9vL9U+EW7nCqd//IyXiHdH+5mk9scK2ccT
								RpOguIRoLvJlCVFXxJODEDkgNfYPKlhqmr0f4ll3oZ1Hm6ldVMfp8n5ejwbEKSmfE3CzVMsjwgRw
								Qi8krk6WQHidV82k4mvEUAX4hPrUzf1drsIwTpvl2p6fZLxGjrsGhzZiwCY1iNG8qCYxqtxTRyAh
								bAl7d2F9oC+Z5wl1UI2CmlPgChw9GGRMEyp0GyDV4fSrHVYnSSVNVMANzs1VLck+PI2zN9S3TNFr
								iyTRDvSrVRUPqXasncRwwDHnkdtAB5Mo4aXqCpkAdVbOyjCdZ8tjrzmvA8YxSKWDpLkWrqo8exwA
								rHX1flo4oad20ZztHmEX2KddSOCHIMrWlExtpdbNRiavv9LmIRYp0C6a10ESwU81HMtNTxCyRxR1
								s8aIo8AqqAOSGyjSgClBolXoh/5iTGv+9liP/SaTjtaohH49f/O+fwnf/CiZl/8AKTCOer1X69Fv
								+ddYB/y7/YOer1a2H4D3/Meeq7/wrea//Ls/PV6jD/8AChf/AJ1/6Cf/AAuuA/8AllxLnq9V2vQD
								/nWOA/8AEV/6RR89Xq14fwn/APq/f8Uf/wCSF6h/+xVW89XqMp/wou/6sk6R/wDhaOn/APypiXPV
								6rZfSz/zqLL3/LqH/pCvPV6qEPRX/wBnevxOP/B6w/8A8t0fPV6js/j+/wDZtHqV/wCDV08/9jbD
								eer1WBekL/nSeUv+8Sl/6Qjnq9Roeer1e56vV7nq9Xuer1FZ9Rnrd9JHpIpYqj1HeoPLHSirqYhX
								UOXsxYjG+NVUB3DzafC6Tzq2ZLoRujhYX0vfjiGlK2CmHrltv7jFVoz/APCi38M6oxCupMo5szr1
								Eo6BgkuN5LyDmOWlJZmC6VsFNMu4LuG+MafG4D/5JykX84Y4En0p6y1/woZ/C9xbGosBzX1YzB0m
								r6lVkoz1PyTmiiilVmKht9FR1YRSQRuk2rcHXmjZOdFbGbsTiY9KtN6KepT0+epDBHzF0D615X6w
								4TAqS10/TvG8PxV6TzBdVqYqSV5IH/1JVVh4jjC21J2ilzTyFiUmaG3lKdr3PV6vc9Xq9z1eotld
								6zPR/hlbWYbiXqt6bYfiOHyyUNfQV2esrxTQTROY3jkSStDKysCGUi4Oh5fuldFMm5b/AKQ9tRf9
								tn0Zf9xcdMf/AFPcq/8AndzfdK6DWvzLf9Ie2vf7bPoy/wC4uOmP/qe5V/8AO7nu6V0GvfmW/wCk
								PbXv9tn0Zf8AcXHTH/1Pcq/+d3Pd0roNe/Mt/wBIe2vf7bPoy/7i46Y/+p7lX/zu57uldBr35lv+
								kPbXv9tn0Zf9xcdMf/U9yr/53c93Sug178y3/SHtpXZc9TXpuzi0S5R9QWSM1NUO1NAuXM2YDXF5
								EXeyL8rVPdgNSBrbmi2ocKsl5B2EUNFNU01bTU9ZR1CVdJVolTS1VM6yRyxyKGV0ZSQysDcEaEcp
								TtZ+er1e56vV7nq9SE6hdUemXSTBaXMfVbqLgXTLL1bVJglHj3ULF8PwWimrZIpJ0p0nxKWFGlZI
								XYIDuKqxtYHm0pJ2VRbiUiSYoHf9tn0Zf9xcdMf/AFPcq/8Andy/dK6DTf5lv+kPbXv9tn0Zf9xc
								dMf/AFPcq/8Andz3dK6DXvzLf9Ie2vf7bPoy/wC4uOmP/qe5V/8AO7nu6V0GvfmW/wCkPbXv9tn0
								Zf8AcXHTH/1Pcq/+d3Pd0roNe/Mt/wBIe2vf7bPoy/7i46Y/+p7lX/zu57uldBr35lv+kPbQ45Jz
								7kbqXl2kzf04zphOf8p17SwUOZ8k4jR4rh0zwSGGVY6mgkliYo6lWAbQgg68oQRtp1KwoSDNB1nb
								1OemzppmKryj1H9QmR+n+bKBYp67LGds2YDhWIwpPGJomkpq+qilUOjBlJXUEEacsG1HYKop9CTB
								IFJP/bZ9GX/cXHTH/wBT3Kv/AJ3c33Sug1X8y3/SHtr3+2z6Mv8AuLjpj/6nuVf/ADu57uldBr35
								lv8ApD217/bZ9GX/AHFx0x/9T3Kv/ndz3dK6DXvzLf8ASHtr3+2z6Mv+4uOmP/qe5V/87ue7pXQa
								9+Zb/pD217/bZ9GX/cXHTH/1Pcq/+d3Pd0roNe/Mt/0h7a9/ts+jL/uLjpj/AOp7lX/zu57uldBr
								35lv+kPbXv8AbZ9GX/cXHTH/ANT3Kv8A53c93Sug178y3/SHtr3+2z6Mv+4uOmP/AKnuVf8Azu57
								uldBr35lv+kPbXv9tn0Zf9xcdMf/AFPcq/8Andz3dK6DXvzLf9Ie2lHlP1Vel/P2YsMyhkX1IZCz
								pmzGmeDBssZTzhl7EcRq3SNpmWGmo6uSWQhEZiFU2AJ7Dmi2ocKsl9BMBQ9tD1ylO17nq9Xuer1e
								56vV7nq9RMuhHr59M/qQ6/eoT0z9Kc5y411X9M1V/KepmFVNK8NP5sdbLhtT8nOSVqFpamLyZyLb
								HKjW/HVsqSATsNJmrtC1lIOIo5vGqU17nq9Xuer1e56vV7nq9QRdQ/UD0G6RYnRYJ1X625R6YYzi
								cH80w7COoeZcGwWqqKXzGh86OLEqmF3j3oy7gCLgi9xyyUE7BTa3kJ2kCg//ANtn0Zf9xcdMf/U9
								yr/53ct3Sug1T8y3/SHtr3+2z6Mv+4uOmP8A6nuVf/O7nu6V0GvfmW/6Q9te/wBtn0Zf9xcdMf8A
								1Pcq/wDndz3dK6DXvzLf9Ie2vf7bPoy/7i46Y/8Aqe5V/wDO7nu6V0GvfmW/6Q9te/22fRl/3Fx0
								x/8AU9yr/wCd3Pd0roNe/Mt/0h7aErpz1z6JdYZsVpuknWLKvVKowJYp8cg6c5hwnG3o0qCyxNOu
								GVExjDlGClrXsbdjyqkEbRV0OpVsINCnytOV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9X/1N/jnq9Wrx+IN/2fq9Hf/hKcA/8AY5zLz1eraH56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9Xuer1e56vVQn62v+rwZv8AxHP+kEHPV6rUvWT/ANWy9W/+8CD/AMuFPz1eoo/4XX/MMdXv
								+8/Cv/Keo56vUUf8QP8A6uazT/3gYP8A+W+Pnq9VqnqS/wCrPM6/+C5h/wDytTc9XqIb+GD/AM7J
								6k/96OH/AMr4+er1Bz+Iz/1cW3/eiwv/AJXn56vVbvApf0yQqouzZEVVA8Scv80dlerUT66Zcxmb
								8Sf0x1EdDJ5VHkaOepkKGyqcZkUfwPARnbg7hdN3Oyhr9WeYWyB6m8oY1WQs1FV4TFuZR4JWSgnh
								TurchKDPTSW2VAq0XqX6u/UDnfpj8h0gwqh6cZYhwDfVZjxCJcTxOWFMMBPlidRBHut4xtoeHN7v
								OlsBCduyn13AFVP+jvBa3qJ6glxbqLjFXnXFnwyurHxDMc71LhkMQAXzCQqjsFUADwHAtm12vu5B
								ph58kUNX4gVBR4dmDplT0cCwRJQYhtSMAAfp4vZwvylRIVNJ00Zzob1Pyvk3oH0xpq+r87EXoTFT
								4dTXeaSR6qUKqqtySSbADvxM5YOOvGBxrYbJNAn6PPSdjfUTrfhtR1GxKfIWB4wcSrly1R2TGq2m
								MbzsjEk/LI6izFhvsdADqB5lWT61DWMBRklgAVYZ+IllrAOnnTHotk7JeEQ5dy3QVeJ09JhWGrsj
								VVp4Dc+LMSSWZiSTqTfg4S2kAADAVejp+jf/AKtl6Sf94E//AJcKjl69RRvRD/zEmNf97LEf+k0n
								PV6iEfj1/wDO+fwnf/CiZl/8pMI56vVfr0W/511gH/Lv9g56vVrYfgPf8x56rv8Awrea/wDy7Pz1
								eow//Chf/nX/AKCf/C64D/5ZcS56vVdr0A/51jgP/EV/6RR89Xq14fwn/wDq/f8AFH/+SF6h/wDs
								VVvPV6jKf8KLv+rJOkf/AIWjp/8A8qYlz1eq2X0s/wDOosvf8uof+kK89XqoQ9Ff/Z3r8Tj/AMHr
								D/8Ay3R89XqOz+P7/wBm0epX/g1dPP8A2NsN56vVYF6Qv+dJ5S/7xKX/AKQjnq9Roeer1e56vV7n
								q9WmB+Ml/wAKG80YDm3OXpW9AWZYsKXLks+WOpvqZwspPUPXQu0FTRZcZg0aJEQUfENSzX8jaFWZ
								zS2shEqoOZjm5B0t+38KHP8ACJ/AcyfiWVMF9Y34juBTdbOtHVRYs9Za6R9T5Z8So8Lpa1BUR1eY
								Y64u1fiNQrB2gqC0cSm0itLfy6XN2Z0pwFOZflQjW5iTzjW1hlzLOW8nYLQ5byjl6hyrl7C18jDc
								By5SQUNFTpe+2KClREQXPZQOF5M0fJSAIFRM3ZJyZn/Bp8u58yjhedsv1X+9OBZuoKTEqOT/AIlD
								WRyIfrHPAkVpSQRjVP3qB/Ah9EfUzFh1G6AYXinoe69YWz1+VOrfpZrajL60NWfsE4VSyx0ixqb3
								WlWncg28wC1lKLtY24ii97K2lYp8J6qIvjPr1/Es/B+zDgmUvxHsnf7ZnpExCqiwDK3rJ6S0q02Y
								KBWYLFHi0LiKF6jZYCGq8p5G3FKuoKkceDLbv24HopKbp63MODUnpq8vor+IH6LvUF0sqOsvTD1J
								ZSxXIeF0n84zRW4vjFHhVVgUSxGZxitJibwT0TIqkkTouguLjXiRTKkmCKNGrttaZChFUTfhr/iG
								Yz68PxzvVtjOSs9YtX+mjLPSXF8udIMozVtfHg9VDgWb8rUAxoYfMyRrPWPPUSpI0SyrFKI2tYji
								t9nQ0OmaK7O7Lt0qD4Yw91bT3C+jyqls8/gYfhXdQ6nNGJZj9J9D/O831FVjGM4/hWYc30VYa2rn
								apknR6bFUCsZGLWA2nsQVJHFAu3BxpArK2DtT8a1J/xofwK5fQBlyH1H+njMeJ599NFZXU+A5uwb
								NvlTY3k6rrnWGlaappkiSpoqiZvKSUxo0bskbby4cmVrd68DtogzLK+6GpOKfhWuHxbRNQ8+lfKe
								Xs++p/04ZFzdhi41lPOmfcn5TzPg07yRpV4diOYaSjqYWaFkcCSKRlJVgRfQg8o4YSaeYSCtIPSK
								+kx/wxP+E3/3Btgv/j7zd/59uEn5tzpoY/yu3/o/Gvf8MT/hN/8AcG2C/wDj7zd/59ue/NudNe/l
								dv8A0fjQDdY/+E3f4W3U/Cq6nyl0ux3oXj1Sp8jMnS7NOMzNHKFsrfKZmmxal26DcqxLfXUE35ZN
								84OumnMmYVsEVqe/iM/hW+sX8InGabqT036uY1mL0+Zjr1wrL3WnpjXYjl+vw6um/Sw0eM0tBUbq
								edhD+jmR3ik2izI/6MGLFwlzAjGiG8sXLfEHDppJ+l38f/8AEs9NeI4bDifWmT1D5KpmHz+TPUOs
								mYJJ0JsxXF2ePFEkAvsJqmQGxZGAsduWaFcIrTGbPI4yOut3T8Mv8Xn04fiXZaraDJol6Zdd8r0o
								xTPXQvNVRHPWw025YzW4bVIkSV9GHYK0iokkbECWNA8ZcqftlN+VCWyzBDwwwPRVr/E9L6Lt6mPS
								d6evWNkTCemXqV6aUvVTIuBYvBnvCcvYrVYjSRw4tS0dVh8VQHwyoppCyw1syWLFfeOlwCLtuKSZ
								FMv26HBChIqmL1W/8Jpvw/usmTMXHp/y/iHpg6pRwPJl3MGWsVxfGcDnq1j2xLiGHY7U1f6E2Ab5
								WSFr+8SxuCqbvlg440XP5K0oeHA1oI+or0/9T/Sx1r6ien/rJgYy91H6ZV7YDmGhhfzYJLxrUQVN
								PJZfMp6mGRJoXsNyOpsL24cIWFCRQUeaU2opO0UC3LU1RwfQp6K+q3r89R+TvTn0l8mgxPHVmx3N
								ebsVSR6DL+A0RT5zEakRe8yx+YiRoCPMldI7ruuGnnQhMmlFrbKdWEit9roN/wAJxvwxekeUqLCc
								+dLcR9QecBCsWL576m49jVM00pCtJ5FBgFVQ0kMe5fcBR5FXQyNqSULvXCcMKFbWTsJGIk1b50B9
								PXRv0udMcG6NdBMjQdOumeXpqyvwbKmG1FbUxQTYhVPW1DCTEJqiU75ZGY3c2vpYcTLWVGTRg0yl
								CYSIFfO6/wCFHn/Z2Trp/wB6XJH/ALCNBw6sv7mKCGcf8UH0+FUW8V0V1dl+Fz+CF6h/xG0h6l4h
								iS9EPTNSVT4fUdWMepGqqzG5aaTZUU+B0O+I1BRgUeokdIUa4DSOjRhLcXSUYbTRnY5Yt7HYmtvz
								o9/wnP8AwsOluBQ4dmHozinWzHBH5FTm/qxmbGmqpbsGJFNgE+F0SagWK0+4DS+puWqvXDxihA3k
								7CRsmqU/+FFX4c/os9Gvpg6IZ69M/Qig6U5szRn1cp49jOE4hjdY9Thxy9iNZ5JXFK2pQDzYUa6q
								Dp3txVZPqUoyaLc3s2m0ApEY1p+8MqD1bRH/AAmz9CfpN9a3+2d/tQ9G6Lq3/m0/zdf1G/m9bi9H
								/L/5z/Wf53Z/Kqul3eb8jDffe2wWtc3QXzykRBo8ya1bd1ahMR862IOsn/Ccr8LPqngk1DlrpBi3
								Q/HWjaGmzZ0pzNjXnobe4Wpswz4pRtY9/wBAGI0LdrIk3rg4zRu5k7ChgIrUT/E+/A29SH4d0Nf1
								Owat/wA+vpn89Yf86uXKOSnrcC8+Xy4YscoFab5cMxCLUo7QsxUExu6x8Mre7SvDYaD97li2cdqa
								pD4qosq2v8Cj/s7H6Nv+91jX/sJYtxNd/wBzNGGV/wDFCeeFfUS4Q0N69z1er3PV6vc9XqLH6z/U
								Zg3pI9KnXr1HY3seLpPluvzFhNHUmyVmLsgpMMpCfD5mtmhhv/rccaRqUBTFy8G2yror5w/4P/rR
								xr00/iZdIetOeMxyS4H1hxmq6ZdcMbr5AoqaDOtWsc1ZVMLDZT17QVslh/uWg4d3LWpsigfl9zoe
								BPHb619RThBQ3r3PV6vc9Xq9z1er3PV6iT+pz8Of0WesrNuAZ69THQig6rZsyvhwyngOM4tiGN0b
								02HCplrBCFwutpkI82Z2uyk697cdbfUkYGkz9m04ZUJqjr17f8Jj/TL1AyBmTN3oaireiHWLBqef
								FMC6bYti9bi2VcwTRxF/k2kxyeepoZpmFo5hUGFCbNGFIZFbN+oHxYiiy7yRBEowNaG+YsvY5lLM
								GOZUzPhM+A5lyzWVWXsw4HikbQ1VFXUU7U08E0bgFJI5EZWU6ggjhsDNBVQIMGmfm61Vo34VH4Yf
								UT8TjrnieRsGx05B6S9OYKbMPWTqaacVT0FLVSvHTUdJCzIJK2sMUgiDEIqo7tfaEdPcPhsddLrC
								yL6o2Aba3hOl/wDwnm/Cn6cZYo8BxT091HVTF4kSPEc69TMzZinxKsZAffePC6yho4idxuIKeMHS
								97CxUq9cJ20JkZQwBsmj5el30CekL0W1+ccT9MPRSh6TV/UCGioM4VGEV2MVhrocPeaSnVhilZVB
								djTuRtAvfW+nGnHlK2mlbFo23OkRNHB41Sivc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV
								6vc9Xq//1d/jnq9Wrx+IN/2fq9Hf/hKcA/8AY5zLz1eraH56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9Xuer1e56vVQn62v+rwZv8AxHP+kEHPV6rUvWT/ANWy9W/+8CD/AMuFPz1eoo/4XX/MMdXv
								+8/Cv/Keo56vUUf8QP8A6uazT/3gYP8A+W+Pnq9VqnqSBPo9zoALk5cw+wH/ABOm56vURX8MSkqI
								uofUeeSJkifBIUV2GhPzyHmtQr1Bp+ItnPoxlvrrU41nvqTQYfJBg9BRrlrCn/mGLSyRNNdVpKTz
								HW503OFW/cjhdeZgloxVgKWlb68+pmbOmC4L0k6VLlbJmE5c+UbNvUNhUVlTS02GlN6UdKwjj3ot
								7NI1vjwgvt6EJTpTtNMKeAqvr0oJVdaOv2ZOoefMSlzDmLCMDSDDaqtChaaFa6K0UCIAscYLEhVA
								Fz8eAvObpfdgdJpLcPaqjfiG4XRS9R8iyPCGb+Str/33TcT5Oo6D50yg1YTTR0NB6e4dqpTg5OUA
								mwuTgnx4TmS76/Oqcaqe9IuapMtdYo6mhwyoxzEJ8MrKGjwvCYZKieWSV4VUKkSsTwUv2K306U0/
								3JNG49SHQjqh1CxrI2Z+sbr0gy0Kaq/lmF14WfG6mEzRM9qZW2wnw/SsGB/dI4cWG7bjQg8aVs24
								G2re/RX6d+imSeknT7OWWMsDFMw11G0kWbMzla2vULNLF+iLgJCDr/k1U62JPBpY5e2ykQMemnoF
								EQ9G+L4hivrFhkrahpiP6xgByTa1POPHi5KANleow/4ov/MMdIf+8/Ff/Ken5avUbj0bf9Wy9JP+
								8Cf/AMuFRz1eoo3oh/5iTGv+9liP/SaTnq9RCPx6/wDnfP4Tv/hRMy/+UmEc9Xqv16Lf866wD/l3
								+wc9Xq1sPwHv+Y89V3/hW81/+XZ+er1GH/4UL/8AOv8A0E/+F1wH/wAsuJc9Xqu16Af86xwH/iK/
								9Io+er1a8P4T/wD1fv8Aij//ACQvUP8A9iqt56vUZT/hRd/1ZJ0j/wDC0dP/APlTEuer1Wy+ln/n
								UWXv+XUP/SFeer1UIeiv/s71+Jx/4PWH/wDluj56vUdn8f3/ALNo9Sv/AAaunn/sbYbz1eqwL0hf
								86Tyl/3iUv8A0hHPV6jQ89Xq9z1eqjL/AIUDeuLHfRr6E8Zwfp3jT4F1f9R1a3R7JmL0Ehiq8Mw2
								WmeoxnEIGWzK8dKPl43Uho5J0kU3Xiuza1L6hRXm10W2sNpwrRV/Cl6L5Z9QX4i3pF6U5zpkr8p4
								3m+jxvMWFVVzDW0eAwTZglpZAASUqFoTEwFtGOo7g2uFaUE0F7BoLeSD019XfgeoeV7nq9Xuer1e
								56vUks+5CyX1SyXmfp11FyxRZ0yLnSiny7mvKmYoEqaKvoqlDHJFLHICCpB+kHUWI5sEgyKqtAUI
								OyvmsfjU/hVYh+G311w7EsgtVY36Yusj1WJdJMaxF2qKnCKqnKvVYJWykAtJTiQPBI2ssJFyzpJY
								8tbjWOugZmVh3KsPtNHG/wCEpH/Zw/rL/wCEXzF/7HGUeNZh9g86U5D/AHY+XzFfQO4T0LK9z1eo
								tHrN6Q4J189JfqR6N5gp46jD+oeSsx5diapAK09XJhczUlStwbPT1CxyobaMoPHGlQoGmblsLbUO
								kV8hngjqPqM56J/+ry/SR/4U7IX/ALFVDxt37T5U/bf3RPmK+vDwOVIFe56vV7nq9QPeoLoZ0+9T
								HRTqb0D6qYSuM5B6q4RVZSzDSkKZI1nW8VRAXBCT00qpNA9rpIisNQOWQspMim3mgtJSdhr5FvWf
								pbmHof1f6p9GM2hf60dJcxY102zC0SsqNWYJiM2GzMgbXazwkr8COCNKpE1H7iClRB4VM6Hda+pP
								py6t5B639IcyTZT6i9NsRgzLlnGqQtZZYTZopkBAkgmQtFNE3uyRsyMCCRzy0hQg1tp1SFBQ2ivr
								F+jL1N5V9ZHpd6K+pfJ0a0mF9VsFhxquwlH8z+XYrBI9BiVCW/eNLWQTQ7vHbfx4HnWylRFDy2fD
								iAocaM5xun69z1erQk/4VedKcOy16vfT71dw+hSjl6p5Ely7jU0AjU1VbljGJh50ljuL/L4lBHuI
								ttRQOxsb5erwkUFc+bhwHpFarvDCiKt3X/hJT0kwil6b+rzrvPSxT49jeN4B0kwutkRTNS0mFUEu
								M1SI/wBoLUPiEBcdiYl9nCrMVYgUJsgb8KlVuEcLaENe56vV81T/AIUef9nZOun/AHpckf8AsI0H
								Dyy/uYoGZx/xQfT4UFX4MX4atd+I76pKfAc1xT0fp66QJS516643Rs0b1FNJKwosHgkQhlmxF4XU
								uCCkKSuDvVQ1rp/QnrqmW2XfLx2DbX03so5RytkDK2XskZIy9R5SydlKjp8vZYyxl6nipKGgoaSI
								QwwQQwhUSNEUBVAsBwiJJNDVKQBA2Uouardarn/Csb/qzT04/wDhTk/9hXFuGGXfcfKiLPv7mPOt
								CXhvQVrc+/4SHf8Aawj/AMVP/wC1lwrzL+H1oSbv/wAfp863P+FlCOmfMWXcAzdgGNZVzVgtJmTL
								OZKSowLMOXsdp4quirqKriaCanqIZ1ZJI5EYq6MCCCQRzYMVogEQa+aH+Nx+GHU/h1+pNK7p/Q1F
								R6Z+trVeZekGIz7pRhFRE6tXYFNKSSWpDIrQM2rwsurOkhB5av609dAzM7LuV4faaQP4FH/Z2P0b
								f97rGv8A2EsW5u7/ALmaplf/ABQnnhX1EuENDevc9Xq9z1er3PV6tSH/AIVaeqtMq9F+hXo9wDEV
								XGeq+JydYOoVNAx82PAsvlqPD4pRe3l1VbM8i6H3qXuPExy9vEqogz1+EhHTjWjBw2oL19V/8Jb1
								Y/7Z/oD9PvWXE8T/AJlnqnwpenfVV5X3z/1ly4f5XVzTd7NViJKwC/2Zl4H7lvSsih3YXHeNA8as
								e4xSyvc9Xq9z1er3PV6vc9Xq9z1er5pH/Cibo1g/SD8UnrHWYBQrhuGdYMMwDrL8nD5ez5zE6H5G
								ulAQkgz1lDNM+7Us5PYjh5ZKlsUDM3bCXz141RzxXRXX0Vf+ExHSXC8ifhrQdQYaRBjPXDOmZM3Y
								jiO0+c9NhMseWKeEsVW6Rth0rqASAXY3uSAS36pc8qGGSNwzPSa2KOIqN69z1er3PV6vc9Xq9z1e
								r3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq//1t/jnq9Wrx+IN/2fq9Hf/hKcA/8AY5zLz1er
								aH56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vVQn62v+rwZv8AxHP+kEHPV6rUvWT/
								ANWy9W/+8CD/AMuFPz1eoo/4XX/MMdXv+8/Cv/Keo56vUWD11YDiWO+qPMtLh1M08klDg6ARgnX5
								CP2cotwJGNbAozHrG9bHRPpl0SzD0upjN1Sz+mD02H4rlPJxV4KCWDyAVrq0hooSHFmQbnFjdb6E
								uvsybbTE4mqkgbaqH9OnU7rx6hczZuyzS5j/AM0uS/5estZlrpu0lFLUU7VAiEdRW3+YkBDe8Nyq
								SLhRwF5hnzjQkHbTL1xGygK9UnSTAenvVo4TQRby+GUdfVVM5Mkss0zyl3d2uWYkXJPfhXa3y3ka
								jtmkoeJq32OlwrCvToZAkdMP6mXaRtoJJwP9vAuVFT3r86Y40QD8PHGcMn6k55hirEeT+TKoRSO/
								z0XDfOEnQPOrrBpcetjBY80dW8kYYklnjwQs4B11rpuOZEwVpMdNWZRNWQ0Xo7zVmnphSYvn/PDZ
								dyPheWY6v+rGV7PXVUMOEhtsk8gMcQYD91WPBhlm6iQNSziaWIYAONBd+HvWZMw3rfDlbIuUKPLW
								Dx4NiNTJNTp5lVO8ZiUNNUSlpHNmPdvo04KLLL0tGRtpSVUsfxQ5HXNXSZFchGw7Eyyg6H/SYeGN
								Vo/fo+/6to6Rf961/wDysm56vVVP6Jf+rwYf/Ej/AOkE/PV6jNfii/8AMMdIf+8/Ff8Aynp+er1G
								49G3/VsvST/vAn/8uFRz1eoo3oh/5iTGv+9liP8A0mk56vUQj8ev/nfP4Tv/AIUTMv8A5SYRz1eq
								/Xot/wA66wD/AJd/sHPV6tbD8B7/AJjz1Xf+FbzX/wCXZ+er1GH/AOFC/wDzr/0E/wDhdcB/8suJ
								c9Xqu16Af86xwH/iK/8ASKPnq9WvD+E//wBX7/ij/wDyQvUP/wBiqt56vUZT/hRd/wBWSdI//C0d
								P/8AlTEuer1Wy+ln/nUWXv8Al1D/ANIV56vVQh6K/wDs71+Jx/4PWH/+W6Pnq9R2fx/f+zaPUr/w
								aunn/sbYbz1eqwL0hf8AOk8pf94lL/0hHPV6jQ89Xq9z1erR2/4Vt5kxap6xejTKMtRfA8Gy1mrM
								lDSi/u1eJYpQ0s7nXW6UMQGmlj7eGuXDA0Gc/PiSK1hvS117zB6W/Ub0U9RGWKRcRxjo9mTC89R4
								RK/lpXwUVSr1NG7gEqtTDvhZhqAxI14vcRqSRRIw6ULChwr6wXpg9TvRr1g9Fsn9euhObYc25Dzf
								DuV4yEq8OrY1X5igroLloKqnZtskbfBlJRlYh5xspMGh2w+lxIUnZRgOUp6vc9Xq9z1er3PV6q/v
								xPvRhhHrz9FnWDoHNTRNnSekOdej+KVG0Ghzdg8b1GHMHfRFnJekmbuIZpLa8eYd0KBpJfW3etlP
								HhWn7/wlXoK7CvxHuuWF4nSSUGJYb0dzNQYhQ1aNHLDPDnvKUckbq1irKwIIPY8Msw+wedB7Ih+2
								Pl8xX0A+E9Cyvc9Xq9z1er4wXBPUcUZz0T/9Xl+kj/wp2Qv/AGKqHjbv2nyp+2/uifMV9eHgcqQK
								9z1er3PV6vc9Xq+XR+OjlKHJX4sPrLwenp1pUrMcwjNrRQkEF8fyrhePO/ugau1YWPxPD+0MtigR
								miYfVVTPFFF9fQk/4Sw59rcz/h359yhiFW07dNep2PYNg9MwfbBhuI4Hg2LqATp71TU1LWHa9/Hh
								NmA8fpQuyNcskdBrZZ4ho5r3PV6tMz/hXVgReh9BWZooIVFNN1KwKuqbATv56ZYqIFuBconlSmxO
								hbQanhnlx20HN4B9h8/lWlrw0oN1vtf8JOf+rNPUd/4U5/8A2FcJ4UZj9w8qFWQ/3M+dbUfC+j2v
								c9Xq+ap/wo8/7OyddP8AvS5I/wDYRoOHll/cxQMzj/ig+nwrc/8AwTfRfSeir0BdJMsYphK4f1T6
								tU8XW3rDPIB8wMVx2mimp6Nza4+Ro1gp2QEqJFkZftkkrundSzQky227poDicTVtnE9L69z1erVc
								/wCFY3/Vmnpx/wDCnJ/7CuLcMMu+4+VEWff3MedaEvDegrW59/wkO/7WEf8Aip//AGsuFeZfw+tC
								Td/+P0+dbn/CyhHXuer1Vvfixei2h9d3oe6w9GaXDIqzqPhdI3UTotWyqDJT5qwWN6iljjax2CsQ
								yUcjWNkmY2uBx+3d0LBpHf23etEceFaCP4FsckP4tHo6hmjaKWLHMcjlikBVlZcpYsCCDqCD3HDe
								7/uZoKZX/wAUJr6h/CGhvXuer1e56vV7nq9Xz6vxUukGefxA8K/EE/FHy9itRiHS70x9R8velbpJ
								hEBMtJWZLy5HJhGMYlT/AKPe8cmKYnSVcTKQqpLUbrlRtObdQRCOnGglfNl7W7wBj0rWX4uolrbt
								/wCEpfq0OWeqvXP0YZjxHy8H6m0S9a+mtPO5CLjuDRx0GKQRqAbyVVE0MpJtZaU+JHC3MG8AqhBk
								VxCijpxreQ4VUJ69z1er3PV6vc9Xq9z1er3PV6vne/8ACo7/ALOV4F/4THK3/l2xrh1YfZ60Ec8/
								u3pWuJxbRNX03v8AhPX/ANmf/SJ/4n3/ALM/MfCK8/uhoa5R/wATp9fiauf4loyr3PV6vc9Xq9z1
								er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er/9ff456vVq8fiDf9n6vR3/4SnAP/AGOc
								y89Xq2h+er1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1UJ+tr/q8Gb/AMRz/pBBz1eq
								1L1k/wDVsvVv/vAg/wDLhT89XqKP+F3plfq8x0UV+FXJ+FPUc9Xqp4/EN9bL9VvUBnvI/p1xNsPy
								3SrT4BmvqnhxKVGIPTUy00sNBINY4QVKmRbM2tiBbgUze+8ZAOFVU6EijI5y6MZR6eelTNj4bhyC
								vmwWkqZ6xgDIzySQMxLHW5JPI2/PLduBJ40WFwk0Cv4evlxZ7z8xtGiYPEWY6AD51OO5vJSnzrSq
								SXrBwzFc+eoE4XknDJ80Ym+F0FIlHg8bTHehlLFiuiqO5ZrADvxZlLCu7Ain2WCasvwT0b9ZuofR
								WSXqtnKPpjlSmy0L4Rlzy6/FZKWHDFYgtfyIiyAi93sfA8FFjuoANatu2lCLcA1SBlfC8uel38Sv
								JnSLpViWKVWRM9ZGwrMdXJmqs+crJa+XE5op3Z0SJAGEaWVEAHs14jzuzH5cztBr10gRRsPU1jFW
								vqhy9TbyYlwRbITprXTca3QQCk0za1sqTsW9OczHuclOf/JGeSS19opaap8/Dm/6uLX/AL0WKf8A
								K8HL16hc/FE/5izpL/3rsT/8qYeer1H+9H3/AFbR0i/71r/+Vk3PV6qp/RL/ANXgw/8AiR/9IJ+e
								r1Ga/FF/5hjpD/3n4r/5T0/PV6jcejb/AKtl6Sf94E//AJcKjnq9RRvRD/zEmNf97LEf+k0nPV6i
								Efj1/wDO+fwnf/CiZl/8pMI56vVfr0W/511gH/Lv9g56vVrYfgPf8x56rv8Awrea/wDy7Pz1eow/
								/Chf/nX/AKCf/C64D/5ZcS56vVdr0A/51jgP/EV/6RR89Xq14fwn/wDq/f8AFH/+SF6h/wDsVVvP
								V6jKf8KLv+rJOkf/AIWjp/8A8qYlz1eq2X0s/wDOosvf8uof+kK89XqoQ9Ff/Z3r8Tj/AMHrD/8A
								y3R89XqOz+P7/wBm0epX/g1dPP8A2NsN56vVYF6Qv+dJ5S/7xKX/AKQjnq9Roeer1e56vVpw/wDC
								tDoLjuIZa9J/qZwqkeowDLVVjnRfOlSpLLTzYokOM4UdoOiv8pWKzWtfYL3IHDPLl7RQdz9owlXp
								WlBw0oNUaz0oetz1ReiPOz569NPVzEunVfXNF/WLAqdo6vBMYjiJ2x4hhtYstNUABmCs6b0uSjKT
								fjbjSVjEUoYuVtGUmK2svSr/AMKv8t1seHYB6zvTvUYJWnbBV9SPT7KKukZiNu+TBscqEliUHVjH
								Wym19qaAEvcy/wDomj1jPh/GPZWw76a/xT/w/wD1aNhlD0V9T2W8UzRix8qjyBmupfLmYpJRo0cW
								G4+lHUTFT4wo6nuCRrxE5brTtFG7N805sVVgXGaV17nq9Xuer1a4vo19B/Uf0y/j3etjrNhnTnE6
								L049b+nGM50yh1HFHIMFOYc0ZryvjOIYYKhF8pahaunrZEhvcRAG1uLXXgpkDiKJ7e1KLtRjwkfh
								Wx1xFRxXuer1e56vV8YLgnqOKM56J/8Aq8v0kf8AhTshf+xVQ8bd+0+VP2390T5ivrw8DlSBXuer
								1e56vV7nq9Xyxvxqc90XUb8U71qZgoKxq6DD83HIkk0kpmKz5WwukyxNHuPYRyUDIF/dA2+HD+1E
								NigNmS5fV51V3xRSGvom/wDCX3pdiWQ/w1KzOGKUIpx1p6hZmz/gdY0YWSfDaKkw7Kq+9tBKLU4R
								UbRcgEm3c8Jb9UuUL8kRDM9JrYw4io4r3PV6tRT/AIVs4TTTdEfRzjrO4q8OzVmfCYI1K+WY63CK
								SZywtfcDSrtsbWJuDpYxy44mg/n48KfOtG3htQYrfa/4Sc/9Waeo7/wpz/8AsK4TwozH7h5UKsh/
								uZ862o+F9Hte56vVodfiG+neD1Wf8KWMndCsRov5jl3N2JdOcRzrQFdwny9geT6PH8WjN9BvoqKZ
								QSCATex7E3ZXpYmgtds95e6fL4Vvi8KKFNe56vV7nq9Wq5/wrG/6s09OP/hTk/8AYVxbhhl33Hyo
								iz7+5jzrQl4b0Fa3Pv8AhId/2sI/8VP/AO1lwrzL+H1oSbv/AMfp863P+FlCOvc9Xq9z1erQzyN6
								cYfS/wD8Ki8q5BwqhXD8p5mzrjfV3JMFLGIqdMNzdkzE8e8mBFACx009RLTKALDy7DThuV6reaCy
								GdF9HX8q3zOFFCmvc9Xq9z1eqvX8VP1TP6O/QX6hus+FVrUmeUwd8idLBTWNQ2aMyOMGw94UuC7U
								8lR8yyjXZE3s49bt6lgUkv3+7aJ40k/SD6Acn9L/AMLvI/oSz/hax0ub8g4hlLrKKaKLzzjecaSe
								qxiRWO7dJT1Na6wSE3URpa20AbceJc1Cq29oEsBB6MfWvl/dX+l+aeiPVfqX0bzxTCjzj0qx7Fun
								mZ6dL7BXYPXS4fMUJtdC8RKt4ix4fJVImgQ4gpUQdooUfRv6jMd9JHqm6E+pDL4kmqukuY6DM2JY
								fSsqyV2FF/lsSogzAgfNUUs0BPgHvyrqNSSKct3i2sK6K+uVlnMmBZyy3l7N+V8SjxnLWa6GkzJl
								3GKTd5VXQ10CVVPMm4A7ZI3VhcdjwOkRQ/SoESKfOarde56vV7nq9Xuer1e56vV873/hUd/2crwL
								/wAJjlb/AMu2NcOrD7PWgjnn929K1xOLaJq+m9/wnr/7M/8ApE/8T7/2Z+Y+EV5/dDQ1yj/idPr8
								TVz/ABLRlXuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X//0N/jnq9W
								rx+IN/2fq9Hf/hKcA/8AY5zLz1eraH56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV
								TH+IDkV8J69dOc909LMKPNaYdQ11bIV8k1lFV+WEQWB3CIKW72uO19fV6rAvWT/1bL1b/wC8CD/y
								4U/PV6qEep3qAxr02/h5dd8RytWnDs5dZsw4B0ay5W07qk8AxeCpFVNGGBuVp0kXtpuvoeJLl7Sh
								VeOyq163INNkSbB6BIgs02E4XWSsRqWlpFkJP035Gqnysk9dF61yavM66gSemTMdKGtJU4JQRRj2
								ktT8CtkgquB50wgSaCD8PH05Y31FxzNkxxSTLOU5KRKLF8XpbfNVPlzo7xUwYEXBYBnIsPidOD+w
								yUPuePYKMEMiJNCt6wqPA+iPUodPemmEx5dwuTCMPr8RqoSz1dXNIZFLzzyEySMdg7m3stwYt5c0
								g4CKUAwKt5SR5fTOkrtueTIokdj4k4Bcni7hWq08esBMP4q/p4qO3ndP6FL/APEcYn4Cc8H+Tr86
								buvto1fqbP8A09Pl4nxwRP8Aytm4Wbn/AGnzpNa1s0sb+nCQ/wDdkt/5YjyR2/tFLap//Dm/6uLX
								/vRYp/yvBy9eoXPxRP8AmLOkv/euxP8A8qYeer1H+9H3/VtHSL/vWv8A+Vk3PV6qp/RL/wBXgw/+
								JH/0gn56vUZr8UX/AJhjpD/3n4r/AOU9Pz1eo3Ho2/6tl6Sf94E//lwqOer1FG9EP/MSY1/3ssR/
								6TSc9XqIR+PX/wA75/Cd/wDCiZl/8pMI56vVfr0W/wCddYB/y7/YOer1a2H4D3/Meeq7/wAK3mv/
								AMuz89XqMP8A8KF/+df+gn/wuuA/+WXEuer1Xa9AP+dY4D/xFf8ApFHz1erXh/Cf/wCr9/xR/wD5
								IXqH/wCxVW89XqMp/wAKLv8AqyTpH/4Wjp//AMqYlz1eq2X0s/8AOosvf8uof+kK89XqoQ9Ff/Z3
								r8Tj/wAHrD//AC3R89XqOz+P7/2bR6lf+DV08/8AY2w3nq9VgXpC/wCdJ5S/7xKX/pCOer1Gh56v
								V7nq9Rd/Vh6ZOmnrG9PnU7049WqFqrJvUvD3wqWupQvzeG10TrUUWIUpbQT0lRGk0d7qSu1gVJBu
								24UqkUy+wlxBSdhr5YfrX9FPXL0GddMy9DOuOXJcPr8NllqMn5xpoZlwfM+ECQrDiWGzyKBLDILb
								lvuje8cgV1IAgadCxIoDXNsppWlVFG45Sevc9Xq9z1eqwH00fim+v70kthlL0W9TuZcNyvhIWGk6
								e5tqhmPLaQgndHHhmPLV08AYGxaBUbxDAgEMuW6FbRStm+db2KrYo9Lf/CsPGKeTDcB9ZfpvhxKl
								skNd1I9PVQYKhQq7d74Jj07RyMxsXZK+MDXamoAROZd/RNHDGfH+NPsraE9I34hPo+9cuBy4t6a+
								teGZ4xShiFVjuRKsy4ZmXDV0VmqcKxFYalYwx2iZUaJj9l24gcZUjaKO7e7bdHhNHQ41Smvc9Xq9
								z1er3PV6vjBcE9RxRnPRP/1eX6SP/CnZC/8AYqoeNu/afKn7b+6J8xX14eBypAr3PV6vc9XqJv69
								/WV0+9B/pe6l+ojPtXA9Rlujlw/p9lark2SZgzPUwuMNw6IKQ582VbystykSvJ2U8dZaK1QKTXdy
								GkFRr5Nmb8149nvNmaM8Zpr2xXM+csRrc15jxSf7dTX4jUvWVErfF5JGY/TwQgQKAalEmTRk/RN6
								Mesvrw6/5Q6A9F8GepxPG5UrM25snhkfDctYIkqJVYpXutgsMKtotw0jlY0u7qDR10ITJp62tlOr
								0ivq29BeimRfTj0X6YdCOmmH/wAsyL0owWgyTlynfb5skNFAIzPMygb5533SzPa7OzMdTwPLUVGT
								Q7aaCEhI2Chb5WnK9z1erVE/4VmYQs3pU9L2PGcq+G9QqvCFpttw4rsuVcxbdfTb8oBa2t/hwwy4
								+I0Q58P2afOtD3hvQWrfa/4Sc/8AVmnqO/8ACnP/AOwrhPCjMfuHlQqyH+5nzraj4X0e17nq9WtT
								0j6awZu/4U5+qnPVbSrLB0n6PYJjeGVLruMWJYrg2XMFjsf3S1NU1Iv7NPHRcpUMDzolbRN6o9A/
								CtlbiGjqvc9Xq9z1erVc/wCFY3/Vmnpx/wDCnJ/7CuLcMMu+4+VEWff3MedaEvDegrW59/wkO/7W
								Ef8Aip//AGsuFeZfw+tCTd/+P0+dbn/CyhHXuer1e56vVrZ+vXpbDgn4/n4SHWWGmWA9RsDzf0/q
								p41K+dNlPDMWrtzWUBmCY8i3uTYKDYBeLmVfsVCia6RF22ema2TOIaOa9z1er3PV6qBvX6/+2F+K
								X+H36DaGQ1+QOgk0/r59RdJEGlg24C7UWXaadLbP0lTuikVjfy6kH2BljPhbUrpwopu/2j6G+AxP
								yq/niOjavnq/8KfPSmejXrjy96hMDw40+T/VVgceM19RGAsQzVliODB8RjVV0G+lNDMTpueRzqQT
								w5sHJRHRQSztjS7q4Gtazi6iWvpE/wDCcb1Yf7Rn4d2VuneO4j83n30s18vRfF45mvNJgSoK/A57
								BQFjWllNGgvc/LEnvqSXrelc9NDLJ39bMcRhV+nEdGte56vV7nq9Xuer1e56vV873/hUd/2crwL/
								AMJjlb/y7Y1w6sPs9aCOef3b0rXE4tomr6b3/Cev/sz/AOkT/wAT7/2Z+Y+EV5/dDQ1yj/idPr8T
								Vz/EtGVe56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1f/9Hf456vVq7/
								AIg5A/Hq9Hdzb/m1WAd//B5zLz1eraI56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								UVD1g9Ll6h9MYcXpYEfGunlZBm+kneMPIKOCRJKtE3OoW6IGLamykAG9j6vU6+sn/q2Xq3/3gQf+
								XCn56vVqu/iEYZib+gzKWeaIlsH6edUMBqcwohGi1eG1QiYr3NjERp7eFl4glKq0vZSE6hZiw7NO
								IZbxjDJVmpanAMEKNEQRcUEYPbkbNIKZB6TRaatA675vSHJ+A5VnlEVPimHYfASxsCbQn9nGd27c
								LuCTW7cY1YT6H8NjwbMwwrDU2YDS5PoGovLN0aeSpikqG/4kZWct8eSfl6QCocZo0VRP/wARn/q4
								tv8AvRYX/wArz8M6rVu0OnpjiP8A3Ya/+w/zRr1ae/XMeV+J56Yp/wDi7I0Ed/8AiOMScBWd/wBw
								XTdyPDRqPU7/ANXTZbPh/IkP/kbLwr3P+w+dJrWtmcG/ptY/92S3/ljPJHb+0UtqoL8Ob/q4tf8A
								vRYp/wArwcvXqFz8UT/mLOkv/euxP/yph56vUf70ff8AVtHSL/vWv/5WTc9Xqqn9Ev8A1eDD/wCJ
								H/0gn56vUZr8UX/mGOkP/efiv/lPT89XqNx6Nv8Aq2XpJ/3gT/8AlwqOer1FG9EP/MSY1/3ssR/6
								TSc9XqIR+PX/AM75/Cd/8KJmX/ykwjnq9V+vRb/nXWAf8u/2Dnq9Wth+A9/zHnqu/wDCt5r/APLs
								/PV6jD/8KF/+df8AoJ/8LrgP/llxLnq9V2vQD/nWOA/8RX/pFHz1erXh/Cf/AOr9/wAUf/5IXqH/
								AOxVW89XqMp/wou/6sk6R/8AhaOn/wDypiXPV6rZfSz/AM6iy9/y6h/6Qrz1eqhD0V/9nevxOP8A
								wesP/wDLdHz1eo7P4/v/AGbR6lf+DV08/wDY2w3nq9VgXpC/50nlL/vEpf8ApCOer1Gh56vV7nq9
								TLimZMu4JWYNh2NY/RYRiGY5zhuXqHFKqCnmr6lV3mKnSVlaVwovtQE25uK0SBQGep/0k+nj1ldN
								qrpR6kOmFB1KyhK5rMOXEhJBX4ZVbdoqaCtpWjqKWYDQvFIpZbq11JBs24pJkU0/bocTChNadHrW
								/wCEsPWLJk+MZx9DnU2n6wZZLyVVL0h6pS0uDZmpov3IabE/0dBWt3u0wpLCw9468M2swB+6g7c5
								GoYoM9VayXXH029fvTRmmXJfX/o9mHpFmSNnjhoc84XVUKVQQ2MlLNKnlVMXskhdkPgTxchYVsNE
								rrK0GFCKBPl6ar3PV6vc9XqU+TM65w6c5qwLPPT/ADTiGSc6ZXqExbLma8qVlRQYjQ1Mf2ZYKilZ
								JI2F+6kc0QDVkqKTI21vy/gafjhVHrKeg9KXqrxOlofU3hlI8/T3P8aQ0dPnyjooPMmilhj2xx4r
								DGjSusShJowzKqlGDFF3aacRsoVZXmfeeFX3fGtnHiCjuvc9Xq9z1er4wXBPUcUM3pyz7gfSr1C9
								B+qGZ0nky103znlfPuYY8LjWWqahwfHKbEZxCjsgaQxwttUsATYXHKrEpIp1lYSsE8DW+3/y1H/h
								qf8ATB6nf+othH/n64T/AJBfVQq/njPXTfif/Cpz8N2gpTUUuS+q2NShggocMyxl5JSD3N6zMECW
								Hj71+b/l6+qtHPGeg8+tFy6t/wDCqLKVfgNZJ6VPRXnPPlfKXpaLMfVuemwygppVsbyUuXDi7TWB
								1jFTEdfte26cvPE0y5nojwpNa8fqPr/xfPxZepWH546g9B+o3Uymw1no8lZTyTkvMFDkrLcVUVdk
								pFkhNNAZAF31FRM0sgVQ8jBVstR3bYwNFDxuLhUkE+mFHo9JP/CXr1l9VsUwzGPVJmXB/THkQOk2
								JYLTVVJmfNk8Ru2yGnwmaShh3AW3y1ZZCQTE1ivGXL9I2Y0qt8kcV92ArdC9E/oI9NPoA6ZN0y9O
								uSBgceKGCqzrnbGpBWZgzFVwKypPiNYVQvt3t5cSKkUe5tiLuNyx15SzJoR21qhpMJFHL41Smvc9
								Xq9z1erVc/4Vjf8AVmnpx/8ACnJ/7CuLcMMu+4+VEWff3MedaEvDegrW+1/wk5/6s09R3/hTn/8A
								YVwnhRmP3DyoVZD/AHM+dbUfC+j2vc9XqJh009G+B9OfWt6lvWhHnKbGMweovAco5ClydNQrDDg1
								PlWj+VLx1KzsZvmSqMwaJdm2wJueOqdlAT0UmRbAOqXO2jn8apTXuer1e56vVquf8Kxv+rNPTj/4
								U5P/AGFcW4YZd9x8qIs+/uY860JeG9BWtz7/AISHf9rCP/FT/wDtZcK8y/h9aEm7/wDH6fOtz/hZ
								Qjr3PV6vc9XqJj6hPR7QdevUj6K/UVNnc5Zr/R1jOa800mXVwtK3+fRZqwBcFkp/mjUwtSeW0ccu
								4JIH27SoNmDqHYSR00met9a0qn7aOdxqlNe56vVFrq6iwyiq8SxKriw/DsPikrq+vrpEihghiQyP
								JI8hCqqqCWYmwGp56vE1Qd+CvR1vqR6levH8ULMtPOx9V+ep+m/QxsVjdZKfp1kb/fbRNExsNs7B
								IZgB/lKUnuTxZdeEBHRRVlvjUt08Th5Cr++I6Naow/4UOelI+pb8ODqLmbBMNNdnz00VMPX3LbQK
								PNbDsNikpsbiLbSwiGHTzVDKPtPCl+3Fdk5pX50V5uxrZJ4jGvmo8PKBlbDX/Car1Yf5gPxAKXpB
								juI/KZF9VuFSdNapJm2wx5kw7zMUwSZrKSWZlno4x23VNz24ivm5RPRRvkz+h2OBr6MfCWhhXuer
								1e56vV7nq9Xuer1fO9/4VHf9nK8C/wDCY5W/8u2NcOrD7PWgjnn929K1xOLaJq+m9/wnr/7M/wDp
								E/8AE+/9mfmPhFef3Q0Nco/4nT6/E1c/xLRlXuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9Xuer1e56vV7nq9X//S3+Oer1arf4tVfQ9NvxiPQZ1RxEYtRUeYcnU2SJcUxLCPIy8xw3NOJ1YS
								jxX5lvmaxTiI+bpvIT5dGp33yfMbYvV6tpbC62HEsOoa+nkE0FZFHUxyIbgh1Dft56vVO56vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1dEBgVYXB0IPYjnq9RZvWT/ANWy9W/+8CD/AMuFPz1e
								qsD06+njLPq39I/qp9PebWWCgzwtBR4XijqGNBiUcM1TR1S3ViPKmjQtt1K3Hjyi0AgivVqsZczH
								1B9N3XLOfpP9QdDLl3O3TmZcuUBxA2jqqaC6wyQuSQ8bpZo2UkMpBB4Cc0y8pJUKSvN8a2DvWTlW
								rxH08rn7Lku+uy9heHYlBLCb32+R7Pp4Csluu6ufWkrSoNSfw5PxB8NwWqOC51ozUxw0y4biaLpV
								UytKrGSLcbMNy3KHv4EHvLNrcoJ1cTRklcijE+tWCj6sdR6TqZ0/ro8x5arMHoaNqqhO5opYXm3x
								yJ9pHF9Qf4W4tNykKirxVtSI0fplVHG10yIEZT4EZfseP1qtPf1BDZ+JF6UJV+1LkwK3/A4w3AZn
								X9wXVLj7aNJ6nD/09Flj2nAo/wDysl4U7n/afOktrtrZnQ39NbH/ALsl/wDyxnkjt/aKWmqhPw5v
								+ri1/wC9Fin/ACvBy9eoXPxRP+Ys6S/967E//KmHnq9R/vR9/wBW0dIv+9a//lZNz1eqqf0S/wDV
								4MP/AIkf/SCfnq9RmvxRf+YY6Q/95+K/+U9Pz1eo3Ho2/wCrZekn/eBP/wCXCo56vUUb0Q/8xJjX
								/eyxH/pNJz1eohH49f8Azvn8J3/womZf/KTCOer1X69Fv+ddYB/y7/YOer1a2H4D3/Meeq7/AMK3
								mv8A8uz89XqMP/woX/51/wCgn/wuuA/+WXEuer1Xa9AP+dY4D/xFf+kUfPV6teH8J/8A6v3/ABR/
								/kheof8A7FVbz1eoyn/Ci7/qyTpH/wCFo6f/APKmJc9Xqtl9LP8AzqLL3/LqH/pCvPV6qEPRX/2d
								6/E4/wDB6w//AMt0fPV6jw/j5U71f4bfUGljG6Spzb05gRR4l88YYo/jz1eqwP0mUk1H0YytFMpV
								kpqeI39qQi/8eer1GY56vV7nq9Wub+Pp1jpfT5n/APCn62YlVtRYH0z64UWa8zzxv5Z/k9NHTHEF
								3eAelMqm+ljqCNOLbNOoKHVRPmrmgtq6DWxgrK6q6MHRwGR1NwQdQQRxFRxXLnq9SOz3076f9Ust
								1uTep2RsH6jZQxK38xypnvDKLF8NqLAr+kpcQjlifRiNVPfmwojZVVoChBEiqMfU7/wm3/Dl69DE
								MX6dZbxj0w5yqg0seIdIq4y4M85OjTYRjHzUKxgG3l0rU40Gve6tu+WNuNFb+TMr2YGtc/1S/wDC
								YT109GkxDHOgeYMA9VOVaZnaGgwCVMs5o8lDcu+HY1MaVvd7LDXSOTcBTpda3foO3Cid/JHU/bjW
								vr1R6RdVOiObq/IHWPpxjnS3O2GWauyrn/C6zCa9EJIV/Jro42KNa6uAVYagkcWJUCJFFK21JMEQ
								aDvlqpSv6f59zf0sz1k/qX0/x6fK+ecg4nRZwyjmPDG2VFDiOHVCVVPMhNxdJEBsRY9jpzRAIirI
								WUmRtFfW59HHqHwr1ZeljoN6jsJp0oY+rmWsNzXieF0zmSOhxR4fJxCkVyBuFPVxyw7ra7b8DrqN
								KiKH9u93jYV00ZXjdPV7nq9XxguCeo4oznon/wCry/SR/wCFOyF/7FVDxt37T5U/bf3RPmK+vDwO
								VIFe56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Wq5/wrG/6s09OP8A4U5P/YVxbhhl33Hyoiz7
								+5jzrQl4b0Fa32v+EnP/AFZp6jv/AApz/wDsK4TwozH7h5UKsh/uZ862o+F9Hte56vV7nq9Xuer1
								e56vV7nq9Wq5/wAKxv8AqzT04/8AhTk/9hXFuGGXfcfKiLPv7mPOtCXhvQVrc+/4SHf9rCP/ABU/
								/tZcK8y/h9aEm7/8fp863P8AhZQjr3PV6vc9Xq9z1er3PV6vc9XqqD/HG9RGO9B/w/OpOW8hLLV9
								XvU5V0HpW6TYRh1/mqrEc4l6SrWHYyssgw9KnynB92UprqOKbREr6hRfmbxQyQNpw9tHt9IHp6wL
								0oemDoX6dMvBHoukmW8OypW1tOAFrMSSHzsQqyAqjdU1ckszaDVzxl1epRNKrdkNoCeijH8pT1NW
								O4Hg+Z8DxnLWYcNhxnAMw0lRgeOYRiCCSCqo6uFqeaGRG0ZHRyrA9weeBrRAIivkc+tf034x6RPV
								j199N+MrKW6UZkrsAwSrrbebWYLKwrcKq2C6A1NDPBNbw38EbS9SQaAFyz3bhT0UAuR855k6cZ1y
								f1DybiTYNm/IeKYfnPKuMQAF6TEsLq466mmUNcXjliVhf2cuRIimkqIMivrselfr7lv1TenHop6i
								MphYsG6vZcwzOooInL/I1dVTr83RMxAu9LUCSBz23IbacDjiNKiKkBh0OIChxofeUp2vc9Xq9z1e
								r3PV6vne/wDCo7/s5XgX/hMcrf8Al2xrh1YfZ60Ec8/u3pWuJxbRNX03v+E9f/Zn/wBIn/iff+zP
								zHwivP7oaGuUf8Tp9fiauf4loyr3PV6vc9Xq9z1epG9Rs94B0t6e576m5rnNLlbp1g2KZ7zLVLa8
								eH4RQy4hUMNxA0jiY6nm0iTFVWsJBJ4Vrkf8JiuoOO9WugHrS6q5ok87M3UzrXjXUHMU24tvr8Zw
								XDsSqDc6m8kza8XX4hQHVRPkiypCieJrZp4go6r3PV6vc9Xq9z1er3PV6vc9Xq9z1er/09/jnq9V
								R/4w34e1b67PTxQYp0xpGPql6ATT519PFW+L/wAqpamaqqKKTFMMnNQklOTWQUKGmeTy9lTHDuni
								gafd6vUDX4Mf4j+XvVR0WwrIOc8Zjpeq2RoYsIxmhqnAecRqEWZATcq4Fx93cc9XqvVBvqNQdQRz
								1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1epK53yZgXULKmN5MzNTtVYJj8PyldFE21
								tHWRGBIIurqGAYFTazAi4Pq9RZ/St6fcW9PmJ9WMDnnGIZfx2qw3E8s4rHYCWJI6hHQqXdlZCRcN
								7bAtbcfV6qUPxhvSH0s9W3V3MOD10kWQeteVaHC6npz1Yo49sqMaFJBR13l2aWmZjpf3oybroWVi
								y8YM6hVhBqs7H/VH159KmS83+kT1uZMqcrZlOFQU2T83zjzcMxqhWaNYamlqVHlyxOEsHU99CFYF
								QCr/AHc0uhaKQrYg4UIno06Z5T6w5izpXZcxFEqVwqKupJaV1vu+aUeB9h4W3l65bxHTTSlEU79U
								eq/U301dWZcuz1VQlOlHTVArqQn3o5S4tIpurD3ezA8EeW5yh5saqUtP1cz0M/EExPOmQKjJPUjL
								0FVQV+ByYZT5gwQClqI4JqBo1MkDfo3Cqw+yV0HY8PkZojRhTocBqsrqf0WwXqb64ejfUjp/jgx3
								A8gZRTDcRVI5EaGY4uZCGDqNdrDxPAbm2ZpLShxNUuXBGFS/VApHqoytEouxwONQPorJhze5/wBp
								86ZtRWzJFf8A2azcWP8AUlwR/wB+Q8kdr7RS01UL+HN/1cWv/eixT/leDl61Qufiif8AMWdJf+9d
								if8A5Uw89XqP96Pv+raOkX/etf8A8rJuer1VT+iX/q8GH/xI/wDpBPz1eozX4ov/ADDHSH/vPxX/
								AMp6fnq9RuPRt/1bL0k/7wJ//LhUc9XqKN6If+Ykxr/vZYj/ANJpOer1EI/Hr/53z+E7/wCFEzL/
								AOUmEc9Xqv16Lf8AOusA/wCXf7Bz1erWw/Ae/wCY89V3/hW81/8Al2fnq9Rh/wDhQv8A86/9BP8A
								4XXAf/LLiXPV6rtegH/OscB/4iv/AEij56vVrw/hP/8AV+/4o/8A8kL1D/8AYqreer1GU/4UXf8A
								VknSP/wtHT//AJUxLnq9VsvpZ/51Fl7/AJdQ/wDSFeer1UIeiv8A7O9ficf+D1h//luj56vVar+K
								302xLq56TocgYTh8uK1uOZ86bmLD6NS8svy+dcOqdqqO9/L56vUfzI+WocoZVwXL8KhTQQok+zUG
								Qi7a6XsdBz1epV89Xq9z1erUo/4Vqf8AVvHpI/8AB0xv/wAsa8Mcu+40QZ/9ifOrcPwUvWfQetX0
								B9Ic04higreqPSelg6J9YaeeRHqTi+A0sUENbIF2n/T6Qw1JbaF3u6C+w8TXTWlZowy2571oHiMD
								Vs/E9L69z1er3PV6vc9XqAz1AemboB6qcjVPTf1EdJME6t5PnEhgw3N1Gk01FLKnltNRVSbKijn2
								6CankSQeDDl0OFJkGmnWEOCFCa0O/wAaP8Cms9CGE1XqU9NuJ1+dfS/VVkVBmzLmYG+ZxnJFRXS+
								VT+bUIq/M4dJIwijmYCSNmRJC5YSE2tbvXgdtBbMsr7rxJ+34Vrc8XUTV9Jb/hNnj+IYz+FN0nw6
								s3fLZTzJnXAMJ3sxHy8mYZ8VNg2gHm1kmg0vr3vwjvh+0NDLJjLA9avn4ko1r3PV6vjBcE9RxRnP
								RP8A9Xl+kj/wp2Qv/YqoeNu/afKn7b+6J8xX14eBypAr3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6
								vc9Xq1Sv+FZeK00PpL9MeCOG+cxDqLPisBAGzyqPLVdDJc30N6lLC3t4YZd9xoiz4/s0+daG/Deg
								rW+1/wAJOf8AqzT1Hf8AhTn/APYVwnhRmP3DyoVZD/cz51tR8L6Pa9z1er3PV6vc9Xq9z1er3PV6
								tVz/AIVjf9WaenH/AMKcn/sK4twwy77j5URZ9/cx51oS8N6Ctbn3/CQ7/tYR/wCKn/8Aay4V5l/D
								60JN3/4/T51uf8LKEde56vV7nq9Xuer1e56vV7nq9Wr/APiAdLM+fij/AIsHT70h9K+s+JdC8s/h
								8ZQTr1nDrDlCj+drMIz/AJircPq8NggT5ikAqY6aOkngl826fptoDA3XsqDbckTNEl2gv3AQDGkT
								PXQ7/wDDPPro/wC543Wj/wAY6n/3IOU/Mo/oCnf5c7/x08+te/4Z59dH/c8brR/4x1P/ALkHPfmU
								f0BXv5c7/wAdPPrXv+GefXR/3PG60f8AjHU/+5Bz35lH9AV7+XO/8dPPrWuV+Oz+FZ1h9IOF9MvV
								Hn71S5j9XlT1OxSTpjn3P/UvDflcSw2rpMNWowiJpzX1zTJNBT1KjcV2eUoF93urbS4CsIiifNLF
								TcKKtU1rgcXUTVvbf8JVfVoM7dAusPo7zFiPmY70SxP/ADndO6ed13NlvMkpFZBEgF9tLiKNK7Hx
								qwPDhTmDcEK6aFORXEoKOitsfhdR9Xuer1e56vV7nq9Xzvf+FR3/AGcrwL/wmOVv/LtjXDqw+z1o
								I55/dvStcTi2iavpvf8ACev/ALM/+kT/AMT7/wBmfmPhFef3Q0Nco/4nT6/E1c/xLRlXuer1e56v
								V7nq9VDX/CjH1RU3p7/Dfz3kbDsUFHnr1NV1J0Wy7TQuBP8AyyVhiONS7LgmI0VO1M58DOnt4rsm
								9S/KirOH9DJHE4UUH/hJz/1Zp6jv/CnP/wCwrhPHcx+4eVJ8h/uZ862o+F9Hte56vV7nq9Xuer1e
								56vV7nq9Xuer1f/U3+Oer1e56vVr2fiHfhF9SMe6zt63fw5cew7pX6jZnrMd6t9L8QqWwvBc7VKU
								8tYKyjdEMNPitXMixTrOY6aodxPJLBKs0lT6vUCXTX8bPqr6cszHod6/OiOLdHeqOCIyyw5qp5Ke
								LEKeCrnw01tBUWMNZRyTUsqxVVO7wy7SY3Ya89XqspyV+L96Us44XHiMGPGHeocoJIja/wBfPV6l
								l/w6f6Wf+wjb/kOL+nnq9Xv+HT/Sz/2Ebf8AIcX9PPV6vf8ADp/pZ/7CNv8AkOL+nnq9Xv8Ah0/0
								s/8AYRt/yHF/Tz1er3/Dp/pZ/wCwjb/kOL+nnq9Xv+HT/Sz/ANhG3/IcX9PPV6sE/wCKz6UKUI1V
								msU6OdgklkhAv9/PV6jh9G+vvTbrrgyY708x2LGaCRfMD07q+n/Annq9Q089Xq9z1eohHqZ9EtN1
								tzLVdQss5vfL+datKelqKfF1MmHyJTpFAljCu9NqIx7Ndj3AAHPV6n31nemrpZ1+9L2P9P8ArB0s
								o+rS4NhkMOG0Rikaspqm0ME01DUw+XPAwC7i6MuigtoNGX29SSK2K1Xci/h0erb0x5vzT1P9C2M1
								3VrJtLSisxjorm5Go8yUlL8wC0dKX2x1iqxUDaFfW2yw3EOXmTi4GlQxHGm3WgRRZusHrWg6j9Vz
								g/WLJGI9OM9YdQ0mAY5lvNtDUUVXBUw7yyvFUorA2cGxHjwPjJVsCBSXuCNlXvZWwXpVmXofDmjK
								GKU0lfDlH5jdRuhYSpg19bHuCOBIvvNuwemk8kGgX9BsWNN1Dzj/AD6mnRjgo+XeviePdsrob23g
								XtcX4/nDmpIx415xRNA3678XxbIXqRyJm2DDZq/DVwlRXNTRu4RPnprX2g2vY9+Hm6lylCTPTT1u
								qKue6Oevjpv1A6TnIubYv6rVtdl6TAcLxyImSik8zDvIj84faiJvqdV+jkjs3SSnClwINB16F+m+
								YMn+oKmxOrpGkwSswXE4qLF4QXppSzQkbJFurXCnseOsvhdWIpT/AIm2FYpiebOlP8tw2oxDyMOx
								LzvkYZJdm6phtu8sG17G1+P1qj5+kOKWD029J4J42hmhw+SKaGUFWRlrZwQQdQQe456vVVl6LcKx
								Sl9W9HXVWG1FNRVP9Yfl6yeGRIpN9LO67XYAG4FxY9uer1GW/E5w+vxHLvSODD6KavmStxaVoaKN
								5WCiCmBJCAm1yNeer1Gx9HkUsHpq6UQTxtDNDRVEU0MoKsjLiNQCCDqCD3HPV6imeiWhrIMwYzNP
								RzQRSYjXSxSzRuqMryyEEFhYgg6Hnq9Va/8AwogzPS5L6m/hdZsrl3UWA5+zHW1YJt7hgwaMm/w3
								c9Xq2DOgOJU2L9KsrYjSSLNTVcCVEEsTBlZHjVwQR7Qeer1axP4Ded8OPXf1eZCkZYcVpOqGY8Zi
								jkYBpYJ8WkG5R42Oh56vUaD/AIUgY2mWejnojzFNH5sGCdbcDxGoQm36OPBcR3G/wGvPV6rvPTHj
								NHmHo1lPGcPmWeixGGOrppoWDKyPBGwNx8Dz1erXH/Cnzlh9J+Jd+KFked1jxOq67dQcw0aswUyQ
								f1ur4nsCdSpHYc9XqNt/wpErlwv0HdOMVdd6YV1eyPici+1aemxSY/kvPV6rUPRbmagzh0CyVmLD
								JFlocWo6atpnjYMNrwLpceIIIPx56vVSh6NOnvVdfxdvxGsxRdO8ZXIGOZxiqKfPM2G1cWENNS0M
								N4xWSosJYgmwVifhz1erZbkhhm8vzoll8lhNF5ihtrr2YX7EX789Xqy89Xq9z1er3PV6tSj/AIVq
								f9W8ekj/AMHTG/8Ayxrwxy77jRBn/wBifOtdT8Gf8S/EPw3/AFPRY/muWqxD079Wkp8n9c8vYerT
								SQU8cjGjxiniQEvPh7yuxQAmSF5UA3MhVbdMa09dFGXXvcrx2HbX04Mo5uytn/K2Xs75IzDR5tyd
								m2jp8w5YzPl6oiq6GvoauITQzwTQlkeN0YFWBsRwiIINDVKgRI2Uouarde56vV7nq9Xuer1Bf1s6
								S5U689HuqHRTPFKtZlHqtgOK5AzBFLGkpWmxWiko2kRX08yPfvQ6EMAQQQDyyFQZqjrYWkpOw18d
								LglqO6+pb+Cf0RxPoD+GB6S8l49RSUGYcdwGfqnjVNViRZkfOGKVOZoUkjksY3jp62KNksLFdfeu
								SQXS5cNDnLWtDCRzjVqHE9LqiYhX0mF0FbidfMKagw6GSvrahgSI4YUMjsQoJ0UE6Dnq8TXxjeCe
								o4oznon/AOry/SR/4U7IX/sVUPG3ftPlT9t/dE+Yr68PA5UgV7nq9Xuer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1aYv/CujM1ofQfk6CpB8xuo2ZsTo9j3GwZbpaV9xG3XdOLA301tpczy4baDm8CvsHn8
								q0vOGlBut9r/AISc/wDVmnqO/wDCnP8A+wrhPCjMfuHlQqyH+5nzraj4X0e17nq9Xuer1e56vV7n
								q9Xuer1aqX/CsitpY/SD6acOedVrarqS9bT0x+08VPljEUkYfBTMgP0jhhl33GiLPj+zT51oX8N6
								Ctbn3/CQ7/tYR/4qf/2suFeZfw+tCTd/+P0+dbn/AAsoR17nq9Xuer1e56vV7nq9QL+ovrtkX0xd
								C+qvqA6lVnyWSuk2C1ucca2Mqy1Hy0f6Glh36GepmKQQr+87qPHlkIKjApt50ISVHYKpM/4TrYBj
								vUH09+o710dR3Sv6v+tvqZj2dsy4rBfYuFYLM9JSUkYkLMscFXUVwjXdYRlFAG25V3phQSNgFFmT
								glBWdqjWw3xFRvXuer1e56vUQr8Tr0qxes70L+ofoLT0Irs2Y7gc2ZOmqhbuM0YEwxfC1VgVK+dU
								U6wOR+5I2hBsXmHNKwaSXzHeNFNfJ6kjkhkkhmjaKWJjHLFICrKymxBB1BB7jghoCVaD+DZ6sv8A
								Y5/EN6B9ScUxP+W5CzdXno71SkkfZB/IczslA00x0/R0lT5FYf8AlyOJ7lvUgiluXXHdvA8NlfU5
								4QUOa9z1er3PV6vc9Xq+d7/wqO/7OV4F/wCExyt/5dsa4dWH2etBHPP7t6VricW0TV9N7/hPX/2Z
								/wDSJ/4n3/sz8x8Irz+6GhrlH/E6fX4mrn+JaMq9z1er3PV6vc9Xq+ar+P8A+vql9a3rVxLKmRMY
								TFOh/pmSr6W9Pqygl8ylxTFGnV8axRCCVKzVESwRspKvFBG4+0eHlmzoR1mgZm133rsDYK2B/wDh
								Jz/1Zp6jv/CnP/7CuE8R5j9w8qNsh/uZ862o+F9Hte56vV7nq9Xuer1e56vV7nq9Xuer1f/V3+Oe
								r1e56vV7nq9Xuer1FVpPQn6IaBPKofRv0qoo/wDiuk6eZRjX7kw8c9Xql/7EXov/AO4ROl//AKgO
								VP8Azg56vV7/AGIvRf8A9widL/8A1Acqf+cHPV6vf7EXov8A+4ROl/8A6gOVP/ODnq9Xv9iL0X/9
								widL/wD1Acqf+cHPV6vf7EXov/7hE6X/APqA5U/84Oer1e/2IvRf/wBwidL/AP1Acqf+cHPV6olZ
								6FPRDiEYhr/Rv0qroQdwirOnmUZVv9D4eRz1eqj78HzG5MB9e/4inR3AaSnwHp1kHqd1EwbJOUMD
								gipMOwrD6XNNZDBSUlNTqkUMEKKEjjRQqqAAAAOer1bNfPV6vc9Xq9z1er3PV6vc9XqK36k/RZ6Y
								fVxghwbr50gwrPFRDG9NheZ3hNJjdBuVlBpsRpDHURhS5YJvKE6lTyi20q2ivVRt1W/BK9Q3Qytr
								M4egb1Hz4nh1Oz1cHRnrZOVcqGZxDS4rTLsJtZVWeJB4mThNe5Ey6NlNqbBpKem71SdcMG6tVnpn
								9V3Tur6X9ZcIghxH+T4q0MiVlFPJJDHVU00DPHLC7RMFdSQbcjnPd3zb+IbKRPM6asux3LeE5ipX
								pMTpVqI3BUiQA9/p4FULKThScGiY9RfS2EknxjJNSaGpF5PJj+yT37cEGX5840cTTqHSKRXTb1Ed
								b/TXjKU5rZ6PDd4FZh9YGnw6oUDb70b6KbAe8tjp3tpwf5bvChwRNLUPA1eD6cPVVlTr5h0VP5KY
								FmtY/OfDFl8yCpVVu7QMbHTuUOoGoJ1sKW3QoU+KNZxyvV7nq9Xuer1e56vV7nq9TVieBYJjXy/8
								5walxb5QmSk/mdPDP5TNa5TzVbaTYXtz1eqfT09PSxJBSwJTQR6JDTqqIPoCgAc9XqaqLLOXMNqJ
								KvDsv0OH1crGWWqoqSCKRmY3JLRqCST489Xqk4nguD43FFDjOE02LwwOKiCLE4IqhUkAI3KJVYA2
								J1HPV6pdNS0tFCtPR00dJTpokFMixoPoVQBz1epsp8t5dpK2fEqTAKKlxGqdqmpr6elgSaSR23M7
								OqhixJuSTc89XqlYlhOFYzTikxjDKfFqRXE602JQxzxh1uA22UMLi5seer1ZqShosPhWmoKSKip1
								+zBSRpGg+hUAHPV6pXPV6vc9Xq9z1er3PV6vc9Xq1KP+Fan/AFbx6SP/AAdMb/8ALGvDHLvuNEGf
								/YnzrR7yxlDNmd8U/kmS8r4jm7GjG9WMIyxRVOIVXlR23P5VIkj7VuLm1hw1JAoMpSTsq+n8KT8Y
								7rl+F3men6AeojJ+OZm9MWM1K4pX5Bx2mqaTMeTnrXLyV+CxYiYQYJSTJNRvtSRvfjaNzIZElxbB
								zEbaNbDMVMHSoeH4V9AjoB6i+iPql6aYL1e9P/UnDOqHT3HRtpcdy5MWME4RZHpqqCUJNS1MYceZ
								BOiSLcblF+E60FJg0K2nkuJlJkUNXKU7Xuer1e56vURD8Sn1hZU9Dfo16z9dsexiPD8y0eF1OVuk
								+FtKiVGJ5uxSnkp8Mp4FPvNslPny7QSkMcj2sp48w0VqApLe3AabKq+el+D1+HHmX8RP1W5cyviW
								EVCen/pjNSZ09QOaog8cKYWkpeHC4pQLfNYk8ZhQA7ljEkoBEZHDm5f0J66COXWZecjgNtfUVpqa
								moqano6OnSkpKREpqWlpkWOOKONQqoiqAFVQLADQDhBQ4rPz1eog34oHqXwH0meg71K9YMWxRcOx
								eDLOJZO6fxeb5c1VmbH6Z8JwyOIKQzFZ51lfZqsaO2gUkPW7epYFJb54NtKNfJ74IaAVKXJma8Xy
								HnDKeeMAlFPj2TMToM14JOwuEq8OqkrIWI+Dxg80RIqyVQZr6/Hp+62ZM9SHRHpX156eVq12TerO
								B4fnfBHjcSNCldTrK9PIQFtLBIWilUgFXVgQCCOBtaSkkVILLoWkKGw0MHK05Xuer1e56vV7nq9X
								uer1e56vV7nq9Xuer1fPB/4U7epbL/Wj164D0kylii4rhHpmyzBkfMM9NKksC5mxaqfF8QjRoyRe
								GF6WGUd1lR1NivDmwRCJ6aCOdvBTsDhWuBxdRNW4F/wk+9TOAZez/wCpL0m5ixSOixXqNTYZ1g6a
								UlS6x/NVWCJNQYtBHuHvytBPTyhAb7IZGsQCQW5i3gDQhyF8AqR01u98KqE1e56vV7nq9Xuer1e5
								6vV7nq9Wix/wq29T2X869bPT56VcsYwtdV9FMNxPqJ1MpqN90cGK5nFJHh9NMAdJ4aSkaa1tEqV1
								1sDbL24BNBfPXwVBI4VqU8MaIK2Wf+EvfqZy50d9cGduimba+PC6D1NZaGXcrVlQyor5lwCpOJ0V
								OWcgDzqaSrVdbtJsUAltEN+3KJ6KOskfCXSk8a+hJwmoW17nq9Xuer1e56vV7nq9WiN/wpG/FRwD
								rnmSi9Cnp+zauN9M+m+IjG+vma8AnD0WNZmomKU+ExSwm01PhzXeazFGqNotugBJtY28eI0Fs5vg
								o6EnAbatf/4S6+oPK3UL0GZh6DRVsMOevT3mnE/5ngoYee+C5olbGaKsIvcq9Q1XD208rXuLp79E
								LnpowyN4FrTxFbLXENHNe56vV7nq9Xuer1fKk/F96J4V6evxLfWD0wwKmjocDp81vnjBcOowqw0t
								Jm/D6bN8NPGq6KkSYmEVfAC3BBbL1Ng0Bcwa0PKHX8card4/SKvqUfg1+t/CfXP6F+lWdq7HExHq
								502pKfpN1ww+WQNWJjuEU6QLWyqTu24jAsdUHttLO6DVGAILlrQvqoc5dc960DxG2rVeJ6XV7nq9
								Xuer1fLi/G49S+Aeqf8AEo9RGfMmYnDjOQ8pVdF0iyVitAyyQ1NLleijwypnjlUASxTVqVEsTjQx
								stiRYk/tW9KBQHzN4OPEjZVT/FFIK+m9/wAJ6/8Asz/6RP8AxPv/AGZ+Y+EV5/dDQ1yj/idPr8TV
								z/EtGVe56vV7nq9WsX+Pl+Mflz0z9OM0ej/035xhxT1MdRaSXAeouZMuTrJ/UPA6qMxzq00RITFa
								pCUijB3woxmbY3k7l9nbajqOyiTNcxCE6EnxH3V8/bhxQTrfa/4Sc/8AVmnqO/8ACnP/AOwrhPCj
								MfuHlQqyH+5nzraj4X0e17nq9Xuer1e56vV7nq9Xuer1e56vV//W3+Oer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Wrx+Ej/ANnR/wAUH/wq3Uv/ANi2u56vVtD89Xq9z1er
								3PV6vc9Xq9z1er3PV6vc9Xq1QfxHzLhH403RfEY3Ma4rkTCaZ9ptu8rEqoa/Ru4E96kyyaYuPtq2
								/CZKDGawYQawQVE+2ANfVS523+q/Iss7FTsxSBCJqsn1ldWfVX6EM/UmZOofTOqzh6dcVnjiTqrl
								FXrcPo/OPux1m1Q9PIewEigMfsk8Gb+56g310pNtRgsg556RerHp5Bj+W6mmxSHEYRJeEqzKzL8P
								p4DnmnbZyDSVSSk0XPJNXmT07dZaTDaaskgw2Sda7Bqm5Hkyo+4WvyQ9282Lg0mlrDk1svdPs20+
								eslZZzdTbQmOUkVZLHH9lJrbJUF/BXVh9XByDSqljzder3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV
								6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6tXf8A4U0dJM3dfMs/h7dEMhU61Oc+rfVO
								Xp1llKksIVrMYoYKGOSZlDbIozJvke1lQFjoOL7FUaj1USZ02VhCRtJq8z0U+iToP6DuiWW+i/Q7
								KdLhcVBTwHOed2pokxnM+KrHabEMSqBd5JJHJKIWKRLaOMKigBK66VmTRnbWyGkwmhU64enPoP6l
								so1GROvvSPAOreVZ1dY8LzxhtNWmnZxYyU0si+bTyjwkhdXHgRyiFlJwNOOsoWIUJrXh6hfgR9eP
								SL1DxT1Afg4+qjEuheZan/SMb9P3VOslr8u4rDFukSkWrniqlniF9sUOJQTEM2/5hCAeLU3YUIWJ
								onXla2zqZVHVThg/45Hq69JM/wDVH8VH8ObN/TtsKb5Ws66+n+k/mWWq0ruXeiVtTJQtYLudocVf
								Q3Ea6A+/KJV9iq2MzcbwdQR1jn50bnLn/Civ8I/HMLhxDE/UlX5Oq5bb8DzHkXPktVHdFb3mwjB6
								6DQkr7sp1B8LEtGyc6KUDOLc/wAXuNAl1p/4UuehfLif1f8ATJljOfq96lYorRZWy5kTL+J4HQVF
								Vtusc0+P08NaoPthoZj8OXRYr44U07nTQ+2VGqocf9Bf4u345PWfLHVT1m4W3o+9NmXZJmyVlDNV
								HUUk2D4dUOPNTC8vVUi1k1bMI4/Nq68whxYqSirCFAebaEJxNITa3F0qV+FPPCtuT0fejnoP6Gui
								2B9C/T9lQZeyrhjNiWM4vXMs+LY5icqqs1fiVUFQz1EgUC9gqKFRFVFVQXOulZk0f29uhpOlNGk4
								3T9UJ9V/xmvUNk7G834B09/Br9R/Uapy7U1eEYVi9fk/HMLwvE5aWpen82KpocJxUinkVd8cqoxI
								I93itNqk7VCipzMVgmG1H0rV1/Efz3+NP+JbmvBqjqv6E+rmTOleTZ5K/IHRbJXS7Py4Rh9RJGYW
								rKiSfDWlrKxozs86QgKCwiSMO4YwYDTYwIojvF3LxxSY6INVkf8ADb/4h/8A3AX1o/8AVW54/wDP
								Zx/v0dIpF+Te/oH2Gvf8Nv8A4h//AHAX1o/9Vbnj/wA9nPd+jpFe/Jvf0D7DVy34ZfqS/Gm/DboK
								rp3hH4eXVrrV6fsSq5MbqOkOcem+f6GTDquf3ppsIxKDCZmpGmYAyo8U0RN2EYdi5TPoaXjqE0Y2
								T1yzhoJHRBrYwyX+NF1vxusw2gzb+Dd6n8qzV70tI9Xh2QcXr6WCSZwkjSS1NFQERRk337bkakDi
								E2o/pCjhOZKO1tXsq+fiSjWvc9Xq9z1er3PV6vc9XqJp65PVNn70i9IcH6ldOPSxnb1d5jxnHqbJ
								Q6ZdCKCtxDFaWKow2vrziNStBR10kdJG9GsLyeUQHlQdyAXWmwowTFJrp8tpkJKvKtdT1W/jDfjG
								9T8mYvkr0wfhK9WPTvWY1A+G1PU3MuR885pxymSaOzSYfCuXqClpplJIV5VqNPeAVrbVrds0DioG
								ih/MbhQhLZHofwrVYxb8PX8STH8VxPHcd9D3XDGscxqomxbGcZxbppn2pq6urqZDNNNNNNhrPJJI
								7FndiSSSSb8MA8jpFERtHj/CfYab/wDht/8AEP8A+4C+tH/qrc8f+eznu/R0itfk3v6B9hpddMfR
								b+Kf0Y6gZS6qdK/Rx11yJ1DyJWxZhynmzL3TPPMNXRVcJ0ZT/LCCpBKujAq6kqwKkg6U62RBIq6L
								Z9JkJM+RrbB6DfjV/itZeylRYJ6jfwX+q/UvNdDCsMufOmWT895bWtZAqBp8NrMu4iiyOLs7xTqm
								7RY1B0Ll2rc4KFHzWZPgeJsn2/hWw96SuveaPUv0Oyz1ezl0GzX6aswY/PiNFWdIutNDUYdmDDxQ
								10tGsk0FVBTuEnWMSxkoLowPETiNJiZo3t3StMkEedGU5SnqJ562fVJnP0kdKsv9R8jel/PXqzxb
								G8wUmSKjpz6fcLq8XxmipqnDa6vbEpoaOnqWWljajWF3KgB5UF9QC602FGJik9y+W0yElXlVW8n4
								2vqMEchh/BR9TUkwUmJJMl46ilraAsMIYgX7mx+jj/5VP9IUh/ma/wDjSvZRQ/UV+ND+Ldm3KGIZ
								e9M34OfVbo7mbEYGpk6i9Q8k54zTPQtICpkpcPiy7QU/mpoUadpUv9qJhoXUWrYOKhSd7Mrgjwtk
								eh/CtUbPvoc/FD6pZ0zP1F6i+jLrrnTPWdK2fMWa815i6a58qa2vralzJJLLJJhpLMxP0AaCwHDA
								OtgQCKIV2r6jJSZ8jSS/4bf/ABD/APuAvrR/6q3PH/ns5vv0dIqv5N7+gfYadcC/D8/EqyvjeDZm
								y36IeuOAZiy7VU+O4BjuDdNM+U1ZRVtJMtRBPBNDhqvHJHIgZHUgggEG/PF5HSK2LR4GQk+w1tUe
								lf8AGL/GM6cZQw3KHqi/CT6r+oOvwmCOgpepWU8iZ4ypjNUIo9okxCn/AKv19JPK5HvPCtOPHaTe
								5e5bNHYoCj1jMbgCFNk+h/CjxU3423qRemp2rPwT/UxBVsiNVQU2TceljSQqNyo7YPGWUHQMVUka
								2HbjP5VP9MUq/ma/+NK9lWNehj1m9QPWFhXUbEs+ejfqT6QZsiVGG0WG4d6isGrcHmx1a+OokeSh
								FbS0xkWAwASFQbF17X4y60E8ZpZa3JcmUlMdNG76n5rxfIfTTqHnnL+UKvqDj+TMCxbNeB5CwLzf
								nsbrMOoJayHD6fyIah/NqXjESbY3O5hZWOhaSJNKFqISTE1pleuv8TL8b/1TZNx3pX0O/Da6u+lL
								p5mWOXDMxYrlvIOf8YzdXUUqGN4FxVsEokpI5ASX+XgWX90S7dwY0aYaSZKgaDl1e3LghKCB5Ga1
								wP8Aht/8Q/8A7gL60f8Aqrc8f+ezi3v0dIom/Jvf0D7DRo/SD0n/ABjPQz1jwvrh6efRx1ny1m2j
								hfCMXw7EelGeKvCsZw2V0klocQpWw5RNA5RToVZWAZGVwGDbimliCR7aft27hpWpKT7DW8n+G9+I
								X6qPV9mXHciepL8OzPfo9xLKmXxmao6idQcPzHQ5exvEEraejaloUx7BsPaORxM0wiM8rKqHVtW4
								VPspTsVNCezu3HDCkFNW78TUYUSz1verHO/pF6f5TzrkX0o5/wDVtiOZcYGVqzJfp6wmrxfE8NhN
								FPV/O1MdHTVLLBuhEe4qBuZRfXjrTYUdsUmuXy2JCSryqn3qD+N967lwrF4OlX4HHXWfG5E8vAcV
								6g5ezjFSxSNHfzKilw3LMjyKr6eWs6FhrvU6cUptUcVii9eZu8Gj7/wrUI9QPpV/FV9TfWnqR186
								teiDrLjPUTqnic+aczVlJ0pzxBTrJKBHHDBF/LW2QwRIkUSXO1FUEm1+GSHG0iAR7aDzrD61FRSZ
								PUaB7/ht/wDEP/7gL60f+qtzx/57OW79HSKb/Jvf0D7DR4fQZgv4zH4dnVyXqr0E9E/WFoMchiwj
								qD07zR0rz9UYBmOhhdpI4q2CGgiYSQs7NBPG6yRlmAba7qzTxaWIJFKrUXLKpSk+w1txemD8Xr1b
								9Y+pvSzpf1e/B6609EI89Ylh+Vcw9Ua/BszS5bwVqupWnkrquTE8u4d5NJGpMjl5PcGhJtuJc5bJ
								AkKBo/YzBxSgC2Rz5UcT1t+v/P3pGzflnJ2SfQb1k9WkuY8LTM8mZ/TvlatxnA8PJrJqQ0lXV0kN
								QY6kCESeXs+wym4vxppkKG0ClNzdlswEFXlWvT6+vxQvxjvUz0+zJ0d9N34YPWb0x5LzZDJg2Z89
								tkXPmLZwrKGZdkkNLUU+C0cOHrKrMkhjWWW32JU1usZt2kmSoGii7vrhYhKCB5Ga1jv+G3/xD/8A
								uAvrR/6q3PH/AJ7OL+/R0iiT8m9/QPsNe/4bf/EP/wC4C+tH/qrc8f8Ans57v0dIr35N7+gfYa24
								/wAMP16dd/Q56G+iHpb6g/hQeqLNub+l/wDWX+b5hyb0rxk4bUfzvN+K5ii8n51IJfcir0RtyD3g
								bXFiS59kLWSFChBZXSmmgktqkdXXR9/+Hpuon/cn31bf+qqrv+a+M/lR/SHtpV/Mj/xtXspmxv8A
								Gs6yQUgfLn4NXqpxWuub0+N9OcVw+K20kfpIKesPew+x21+B8LUf0hWjmSuDavZVS/rL/FR/HR6/
								4Di+RfTx+G31Y9JuUsXQ0lXmbL/T3P8Ajmc2iN1YQ4rLg1HDSbx+9BSiVD9iYWuVLVu0NqgaQXN9
								dLEJQUjyM1rY4h+Hf+I9i1fW4pinoY624lieJTSYhiOI4h0yz3NPUTzOZJJJJJMNLO7sSWYkkk3P
								F3fI6RRMbN7+ifYaif8ADb/4h/8A3AX1o/8AVW54/wDPZz3fo6RWvyb39A+w1uvf8JkuhXW7oJ6T
								evmXOunRzNXRfMOM9RHxvCMB6s5exfLlbVURy1hkHzEMGMU9O7xb42XeoK7gRe4PCu/WCoQaEuSt
								KQ2QoEY1sn8Q0c17nq9Xuer1e56vV7nq9Xuer1e56vV//9ff456vV7nq9Xuer1e56vV7nq9Xuer1
								e56vV7nq9Xuer1e56vV7nq9XQ7n6f2c9Xq1efwkf+zo/4oP/AIVbqX/7Ftdz1eraH56vV7nq9Xue
								r1e56vV7nq9Xuer1e56vVqnfiqIsH4uPpjqE0kqMnQq5H+riswHAvvOP2B8qae+2jIVudcWwXq3S
								Q08xETS04KAnxdeBrdNkEEmk9uBV/WLZcy9nbKFZlfN2B0mZcs5koThePYBjkEVVR1lLUQ7JIpop
								gyujA2II5JkUtrUUzN0kl/DU/E2bojkaplh9P/XqiTqP03wGeZpVwxKipkp56Rd7u22KaJ1UsblQ
								p7k8A+9eXJLZUOFJrhEij0eqLAIZKrLmOQoFqIZFl3r3sRfgO3cdIeApKwcats9DeJ1OK+nzAJqi
								5WCtxClpmY3vGs24/wDJzMOTKyfCKM6N9x2vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9TLimW8u43WYNiONYBRYviGXJziWXq7FKWComoKll2
								GWneVWaJyptuQg25ua0QDT1zVbr3PV6vc9Xq9z1eoIq/0/dBsUq5q/E+iWUcRr6khqitr8t4NNNI
								QAoLPJTFjoANTy2s9NNlpPQKV2VOn2QchxTwZHyRg+TIKk7qmHKmGUWHJITbVhRxxg9h35oqJqyU
								AbBSv5qrV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1
								e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV//Q3+Oer1e56vV7
								nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV0O5+n9nPV6tXn8JH/s6P+KD/wCFW6l/+xbX
								c9Xq2h+er1e56vV7nq9Xuer1e56vV7nq9Xuer1aqH4rJ/wCqtXpe+GT4rf8Aj1l4Gd5/7gfKmXtl
								C3mXXq/RfGekH/J68Du6Awpm2rZHw0Ww6gHshiH/ACYOSRSytZT8Qmnp+vv4pfSagyr/AKdh/p5y
								1T5ezXiFPseEYrW4hNiTwh4yTuiikRXU9muO9+A/eu7Slop40nuFQKGP1K4lDBS0dMxuaNFUKNSW
								tYD6eAndpgqdmktunGrlfSzkiq6e9AOmOXMQpzS4r/LkxrF4JFKulViTtXujggEMhm2H6OTG2mEg
								UZUYDl69Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer
								1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV
								7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xu
								er1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9Xuer1e56vV7nq9X//R3+Oer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								V0O5+n9nPV6tXn8JH/s6P+KD/wCFW6l/+xbXc9Xq2h+er1e56vV7nq9Xuer1e56vV7nq9Xuer1aq
								P4q2v4tnphB7DJ0X/l2l4GN5/wC4Hypl77aGXEYBU9bsLpnuomqqRV+P6Ve3A9ukoAUzbGrRPVd6
								qsY6d4LSdN+i1OuO9UcejGHPjqqstFgSeWFaVzYrJML+4moB1b2cFmaZ21bgifFSlbgFEU6NdGKD
								pjRYnmzH6t8XzhjkkmMZgx7E3MlTU1UxMkjySPckkm55EmYX67lyi5xZUaeOjHTGo9TnqEpRXUzT
								9MOmc0OY861bA+TV1Mcgelw++oPnMu6Qf8Vq2oJF5A3XyzQnUaWMIgVexwb0or3PV6vc9Xq9z1er
								3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc
								9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1
								er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6
								vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9
								z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3P
								V6v/0t/jnq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e9v589Xq1ePwkf+zo/
								4oP/AIVbqX/7Ftdz1eraH56vV7nq9Xuer1e56vV7nq9Xuer1e56vVqz/AIoGA4ni/wCLT6cqmjpX
								lp8PyZTy1UyAlVDYtMBf6bHgV3pWAyaZfPho62L9IaXFsfpse3bJotrlgbG4t7ORba5ipoYUXpcI
								oVaPAcLw2nhZ6dN9PdzM+puRqbnid65W6qTWiomgvxGHOfWvN9P0l6VRCSvms+ZMyShjRYRQltrz
								zsvc20RBqzae0gUbvZGp1UnZShljiato6MdH8pdDshYVkLKMLGlpC1ZiuLVQHzWI181jNVTsO7uR
								oOyqAo0A5K7LKW0hI2UvAoVeO16vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z
								1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV
								6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq
								9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3
								PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9
								Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq/9Pf456vV7nq9Xuer1e56vV7nq9Xuer1
								e56vV7nq9Xuer1e56vV7nq9XQ7n6f2c9Xq1efwkf+zo/4oP/AIVbqX/7Ftdz1eraH56vV7nq9Xue
								r1e56vV7nq9Xuer1EU9R/reyj0kxio6ZdPKNOpXWZtsVRl+gk3UOCmQXV8RmjvtexBEC++RqdoIJ
								KsyzZu2TjtqqlgVX/lnpJjmb+o1b1z6uYs2aOpONCNZa2oULHSQRkmOnpoxpFDHuIVV+k3JJMUZz
								ni7hR6KL3niaMhiGJUOE0slXX1C0tPCpZpZSAAAPjwgbbKjApgCaTeSsmdRPUdWNS5LD5U6bQSmm
								xfqNiERKz7TZ46CNivnONbtogPc304Oci3WU5Cl4ClrVvxNWadK+kuSujmWIsr5Lw35aBiKjFMUq
								iJK3EKm1jNUy2Bdz4dgo0UAacku3t0NJ0pECllCXx+vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e
								56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer
								1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV
								7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1f/U3+Oer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV0O5+n9nPV6tXD8JOrp0/FP/ABPqRpQt
								RJ1U6lyJEe5H9bq4X/Lnq9W0hz1er3PV6vc9Xq9z1er3PV6qqvxDfWljfSrEMu+mzohXgdeepMC4
								hiWLwKXOW8Bmd4PmQewqZmRlgv8AZCs51C3Ks2zEW7c8aqtUCi7dB+hWD9NsEjqqxDiWYsSLV+LY
								vXM0tRPUTEySSSSSEszMxJJJuSeQ1mOYrfXJNFbjhUaF7MmcqHAJKXDKSnlxjMGJOtHg+AYUjTVN
								TM2ioiRgkk/Ryljlrj6gEitttFVDl0v9JeM5xqaXOHX+U/KDbU4R0roJLQR9mDYhLGf0jf8AHSGw
								/eJ7CUcm3YbYAUvE0vbaCasEoaGiwujpcOw2jiw/D6JFpaOhoo1ihijQbVREQAKoGgAHBWBFPVK5
								uvV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1
								e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7
								nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xue
								r1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1e56vV7nq9Xuer1e56vV//V3+Oer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X
								uer1e56vV0O5+n9nPV6tTbJ2KYF6Qv8AhQl6gcprlyryHkT1AHDOo2XZcY+fFLjFbmLBqbE8Wr6S
								bEWczRT4vLXgmJjGkiSRIFEexfV6tseN0lRJI23JIA6MOxBFxz1ernz1er3PV6vc9XqxzSrBDLM/
								2IVaV/oUXPPV6tRz0f5wqvVN6xPVN6kcxVrYvT4lmnFsPynNWBR8vgmGVbYZhkKqPdXZSwRg27m7
								dyeRjvjdEq0ikV0qrY6jFMdzHmLDMhZCoP5tmjG28mBF0ip4xq80zdlRFBJP7eEmT5Gt9Qwptpma
								sC6L+nvK/SiL+dVW3MnUKvjK4vm+sW7rvHvRUqtfyoh201bx9glfLsrbtkQkY9NL0pAowXDKrV7n
								q9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer
								1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV
								7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xu
								er1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56
								vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1f/W3+Oer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7
								nq9Xuer1e56vV7nq9VDv44XoT6l9fsh9LvVV6Xsrtjfqi9LNXLiseFYAlOmL5iyg4asqKOBY6Vqm
								vq6KojWajpBUICktWsSSVE0aN6vUJX4Xv4pXS31d9Mcv4Bj+OQYF1UwOmiw/H8Br5FSUzRqFLLuI
								3K1rg89XquVjkSVFkicSRuNyuhuCD9HPV6ufPV6vc9XqTOcsVjwPKuYcWmieWnw+jqaqoWAbnEaQ
								szEDxsBzxr1aWH4Vubf6idPOqeG1km3F6XFqukqhIffDfNvcm+ut+Rjn9sV3KZ2UifEqFbPXoNwH
								CanKmbOoEiiozLjdb/KJKmQAtFRQxJIqIe+13Yk/EDg7yu1S03hStAgUfvhnVq9z1er3PV6vc9Xq
								9z1er3PV6vc9Xq9z1er1/DxPPV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z
								1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV
								6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq
								9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3
								PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq9z1er3PV6vc9
								Xq9z1er3PV6vc9Xq9z1er3PV6vc9Xq//19/jnq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1e56vV7nq9VHnrr/BX6c9e844n6jPShm1fSp6sqquxHOWYc04StdLlzOVfUUFlixSjg
								qAtDJNVQxyS11JExJknlmp6mZ1dPV6kfkf0k/jE5by7h+EYt1x6XYhV0caQPVQZlzntbatr+/lgH
								nq9Sv/2Zvxdf+3ydMf8A1Jc4f+4zz1er3+zN+Lr/ANvk6Y/+pLnD/wBxnnq9Ttgvpw/Fjpa+GTGO
								q/THEcMJ2VtGcxZucSRnRl2vloA3Gljxp6dJititXH8Qj02eq78On1aV+YIMYwfC+lvqMrZ86YfV
								4VW4rJglDX1VY8tTSGY0Kuu2RjtUpfYRYWB4Du/Q6opUPGn31p9rCav29EeL+ovrp0YxjA+gWf8A
								LdDmzCxS1uK1eYMSxaCh3SIYyokosOqXvdexQcMUZmO8QlOw1dCZTRgv9mb8XXw6ydMbeF8y5w/9
								xnglqle/2Zvxdf8At8nTH/1Jc4f+4zz1er3+zN+Lr/2+Tpj/AOpLnD/3Geer1e/2Zvxdf+3ydMf/
								AFJc4f8AuM89Xq9/szfi6/8Ab5OmP/qS5w/9xnnq9Xv9mb8XX/t8nTH/ANSXOH/uM89Xq9/szfi6
								/wDb5OmP/qS5w/8AcZ56vU+5d9OP4r9FilPPjfV7prPh6MrTx0mYs2u5AOthJltB+fPV6rS+l2Qs
								y5awehqeoGZhmrODJHLWTUPnJQ0srQgSxwiRg0qhy1pHVSQAdiG/PV6hc56vV7nq9Xuer1e56vV7
								nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xue
								r1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X
								uer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV//9Df456vV7nq9Xue
								r1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1AZ6g
								fTf0a9UGQK7pn1tyRSZ4yjXMtQaDElIeKZVZRJFIhDo4DEXUg2J4R5hkyXVakmFdNOJcig19Knof
								6B+jajzZR9EcCrMITOs8VdjbYvX1Fb/kFKxxwrKdsUahjZVH0k8ZsMmLa9SjJrZWIwo3vBFTVe56
								vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9
								Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e
								56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7n
								q9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer
								1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV
								7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1f/R3+Oer1e56vV7nq9Xuer1e56vV7nq9Xuer1e5
								6vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq
								9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1
								e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7
								nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xue
								r1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56v
								V7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9Xuer1e56vV7nq9X
								uer1e56vV7nq9Xuer1e56vV7nq9X/9k= </value>
						</observationMedia>
					</entry>
				</section>
			</component>

			<!-- 
                Überweisungsgrund (Spezifikation Level 2) siehe spezieller Leitfaden "Laborbefund"
            -->

			<component>
				<section>
					<templateId root="1.2.40.0.34.11.4.2.4"/>
					<!-- Code der Sektion -->
					<code code="46239-0" displayName="Chief complaint+Reason for visit"
						codeSystem="2.16.840.1.113883.6.1" codeSystemName="LOINC"/>
					<!-- Titel der Sektion -->
					<title>Überweisungsgrund</title>
					<!-- Textbereich der Sektion -->
					<text>Text des Zuweisers: Abklärung einer Thrombozytopenie höflich
						erbeten.</text>
				</section>
			</component>


			<!-- 
                Probeninformation (Spezifikation Level 3) siehe spezieller Leitfaden "Laborbefund", Kapitel 4.4.5.2.2
            -->
			<component typeCode="COMP">
				<section classCode="DOCSECT">
					<templateId root="1.2.40.0.34.11.4.2.1"/>
					<id extension="P-body" root="2.16.840.1.113883.3.933.1.1"/>
					<code code="10" codeSystem="1.2.40.0.34.5.11"
						codeSystemName="ELGA_LaborparameterErgaenzung"
						displayName="Probeninformation"/>
					<title>Probeninformation</title>

					<text>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:15">Material-ID</th>
									<th styleCode="xELGA_colw:13">Probenentnahme</th>
									<th styleCode="xELGA_colw:22">Untersuchtes Material</th>
									<th styleCode="xELGA_colw:15">Probenentnahme durch</th>
									<th styleCode="xELGA_colw:17">Probeneingang</th>
									<th styleCode="xELGA_colw:19">Bemerkung Labor</th>
								</tr>
							</thead>
							<tbody>
								<tr ID="SPEC-1-1">
									<td>BL-121201-02</td>
									<td>01.12.2016 06:34</td>
									<td>BLUT, fossa cubitalis l.</td>
									<td>Dr. Humpel</td>
									<td>01.12.2016 08:15</td>
									<td ID="SpecimenComment01">leicht hämolytisch</td>
								</tr>
								<tr ID="SPEC-2-1">
									<td>PL-121201-01</td>
									<td>01.12.2016 06:34</td>
									<td>PLASMA, fossa cubitalis l.</td>
									<td>Dr. Humpel</td>
									<td>01.12.2016 08:15</td>
									<td/>
								</tr>
							</tbody>
						</table>
						<br/>
					</text>



					<!-- 
						Ende Level 2
						Start Level 3 
						Anmerkung: Der Beispielbefund ist auszugsweise Level 3 codiert 
					-->
					<entry typeCode="DRIV">
						<act classCode="ACT" moodCode="EVN">
							<templateId root="1.2.40.0.34.11.4.3.1"/>
							<code code="10" codeSystem="1.2.40.0.34.5.11"
								codeSystemName="ELGA_LaborparameterErgaenzung"
								displayName="Probeninformation"/>
							<statusCode code="completed"/>

							<!-- Specimen Collection -->
							<entryRelationship typeCode="COMP">
								<procedure classCode="PROC" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.2"/>
									<code code="33882-2" codeSystem="2.16.840.1.113883.6.1"
										codeSystemName="LOINC" displayName="Specimen Collection"/>
									<effectiveTime value="20161201063400+0100"/>
									<targetSiteCode code="LACF"
										codeSystem="2.16.840.1.113883.5.1052"
										codeSystemName="HL7:ActSite"
										displayName="left antecubital fossa"/>
									<!-- Specimen Collection Organization -->
									<performer typeCode="PRF">
										<assignedEntity>
											<id nullFlavor="NA"/>
											<addr>
												<streetAddressLine>Laborplatz 1</streetAddressLine>
												<city>Wien</city>
												<postalCode>1210</postalCode>
												<country>AUT</country>
											</addr>
											<telecom use="WP" value="tel:+43.1.12345-636"/>
											<assignedPerson>
												<name>
												<family>Humpel</family>
												<given>Florian</given>
												<prefix qualifier="AC">Dr.</prefix>
												</name>
											</assignedPerson>
											<representedOrganization>
												<id root="1.2.40.0.34.99.111.0.1"
												assigningAuthorityName="GDA Index"/>
												<name>Amadeus Spital</name>
												<telecom value="tel:+43.1.3453446.0"/>
												<telecom value="fax:+43.1.3453446.4674"/>
												<telecom value="mailto:info@amadeusspital.at"/>
												<telecom value="http://www.amadeusspital.at"/>
												<addr>
												<streetName>Mozartgasse</streetName>
												<houseNumber>1-7</houseNumber>
												<postalCode>1234</postalCode>
												<city>St.Wolfgang</city>
												<state>Salzburg</state>
												<country>AUT</country>
												</addr>
											</representedOrganization>
										</assignedEntity>
									</performer>


									<!-- Specimen als Participant -->
									<participant typeCode="PRD">
										<participantRole classCode="SPEC">
											<id extension="BL-080212-02"
												root="2.16.840.1.113883.3.933.1.1"/>
											<playingEntity>
												<code code="BLD"
												codeSystem="2.16.840.1.113883.5.129"
												codeSystemName="HL7.SpecimenType"
												displayName="Whole blood"/>
											</playingEntity>
										</participantRole>
									</participant>


									<!-- Specimen Received -->
									<entryRelationship typeCode="COMP">
										<act classCode="ACT" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.3"/>
											<code code="SPRECEIVE"
												codeSystem="1.3.5.1.4.1.19376.1.5.3.2"
												codeSystemName="IHEActCode"
												displayName="Receive Time"/>
											<effectiveTime value="20161201081500+0100"/>
											<!-- Annotation command for received Specimen -->
											<entryRelationship typeCode="COMP">
												<act classCode="ACT" moodCode="EVN">
												<templateId root="1.2.40.0.34.11.4.3.2"/>
												<templateId root="2.16.840.1.113883.10.20.1.40"/>
												<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
												<code code="48767-8"
												codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Annotation Comment"/>
												<text>
												<reference value="#SpecimenComment01"/>
												</text>
												<statusCode code="completed"/>
												</act>

											</entryRelationship>
											<!-- End of Annotation command for received specimen -->
										</act>
									</entryRelationship>
									<!-- End Specimen Received -->
								</procedure>
							</entryRelationship>

							<!-- 
							Zweites Specimen -->

							<entryRelationship typeCode="COMP">
								<procedure classCode="PROC" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.2"/>
									<code code="33882-2" codeSystem="2.16.840.1.113883.6.1"
										codeSystemName="LOINC" displayName="Specimen Collection"/>
									<effectiveTime value="20161201063400+0100"/>

									<targetSiteCode code="LACF"
										codeSystem="2.16.840.1.113883.5.1052"
										codeSystemName="HL7:ActSite"
										displayName="left antecubital fossa"/>

									<!-- Specimen Collection Organization -->
									<performer typeCode="PRF">
										<assignedEntity>
											<id nullFlavor="NA"/>
											<addr>
												<streetAddressLine>Laborplatz 1</streetAddressLine>
												<city>Wien</city>
												<postalCode>1210</postalCode>
												<country>AUT</country>
											</addr>
											<telecom use="WP" value="tel:+43.1.12345-636"/>
											<assignedPerson>
												<name>
												<family>Humpel</family>
												<given>Florian</given>
												<prefix qualifier="AC">Dr.</prefix>
												</name>
											</assignedPerson>
											<representedOrganization>
												<id root="1.2.40.0.34.99.111.0.1"
												assigningAuthorityName="GDA Index"/>
												<name>Amadeus Spital</name>
												<telecom value="tel:+43.1.3453446.0"/>
												<telecom value="fax:+43.1.3453446.4674"/>
												<telecom value="mailto:info@amadeusspital.at"/>
												<telecom value="http://www.amadeusspital.at"/>
												<addr>
												<streetName>Mozartgasse</streetName>
												<houseNumber>1-7</houseNumber>
												<postalCode>1234</postalCode>
												<city>St.Wolfgang</city>
												<state>Salzburg</state>
												<country>AUT</country>
												</addr>
											</representedOrganization>
										</assignedEntity>
									</performer>
									<!-- Specimen als Participant -->
									<participant typeCode="PRD">
										<participantRole classCode="SPEC">
											<id extension="PL-121201-01"
												root="2.16.840.1.113883.3.933.1.1"/>
											<playingEntity>
												<code code="PLAS"
												codeSystem="2.16.840.1.113883.5.129"
												codeSystemName="HL7.SpecimenType"
												displayName="Plasma"/>
											</playingEntity>
										</participantRole>
									</participant>

									<!-- Specimen Received -->
									<entryRelationship typeCode="COMP">
										<act classCode="ACT" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.3"/>
											<code code="SPRECEIVE"
												codeSystem="1.3.5.1.4.1.19376.1.5.3.2"
												codeSystemName="IHEActCode"
												displayName="Receive Time"/>
											<effectiveTime value="20161201081500+0100"/>
										</act>
									</entryRelationship>

								</procedure>
							</entryRelationship>
						</act>
					</entry>
					<!-- End Level 3 -->
				</section>
			</component>

			<!--- Speciality Hämatologie -->
			<component typeCode="COMP">
				<section classCode="DOCSECT">
					<templateId root="1.3.6.1.4.1.19376.1.3.3.2.1"/>
					<id extension="P-body" root="2.16.840.1.113883.3.933.1.1"/>
					<code code="300" codeSystem="1.2.40.0.34.5.11"
						codeSystemName="ELGA_LaborparameterErgaenzung" displayName="Hämatologie"/>
					<title>Hämatologie</title>
					<!-- Start level 2 -->
					<text>
						<!-- 
							Tabelle Blutbild
						-->
						<paragraph styleCode="xELGA_h3">Blutbild</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
								</tr>
							</thead>
							<tbody>
								<tr ID="OBS-1-1" styleCode="xELGA_red">
									<td>Leukozyten</td>
									<td>26</td>
									<td>10^9/L</td>
									<td ID="OBSREF-1-1">4-10</td>
									<td>+</td>
								</tr>
								<tr ID="OBS-1-2">
									<td>Thrombozyten</td>
									<td>165</td>
									<td>10^9/L</td>
									<td ID="OBSREF-1-2">150-360</td>
									<td/>
								</tr>
								<tr ID="OBS-1-3">
									<td>Erythrozyten</td>
									<td>5.39</td>
									<td>10^12/L</td>
									<td ID="OBSREF-1-3">4.60-6.20</td>
									<td/>

								</tr>
								<tr ID="OBS-1-4">
									<td>Hämoglobin</td>
									<td>16.0</td>
									<td>g/dl</td>
									<td ID="OBSREF-1-4">14.0-18.0</td>
									<td/>
								</tr>
								<tr ID="OBS-1-5" styleCode="xELGA_red">
									<td>Hämatokrit</td>
									<td>49.7</td>
									<td>%</td>
									<td ID="OBSREF-1-5">43.0-49.0</td>
									<td>+</td>
								</tr>
								<tr ID="OBS-1-6">
									<td>MCH</td>
									<td>29.7</td>
									<td>pg</td>
									<td ID="OBSREF-1-6">27.0-33.0</td>
									<td/>

								</tr>
								<tr ID="OBS-1-7">
									<td>MCV</td>
									<td>92.2</td>
									<td>fl</td>
									<td ID="OBSREF-1-7">85.0-95.0</td>
									<td/>

								</tr>
								<tr ID="OBS-1-8">
									<td>MCHC</td>
									<td>32.2</td>
									<td>g/dl</td>
									<td ID="OBSREF-1-8">28.0-33.0</td>
									<td/>
								</tr>
								<tr ID="OBS-1-12">
									<td>Akt.Lymphoz.rel.mi.</td>
									<td>7</td>
									<td>%</td>
									<td ID="OBSREF-1-12">0-10</td>
									<td/>
								</tr>

							</tbody>
						</table>
						<!-- 
							Kommentar Hämatologie
						-->
						<paragraph>
							<content ID="haematologyComment">Geringgradige Leukozytose, seit letzter
								Kontrolle gestiegen. <br/> Verringerung der Thrombozytenzahl im
								selben Zeitraum. </content>
						</paragraph>
						<br/>
						<!-- 
							Tabelle Knochenmark Morphologie
						-->
						<paragraph styleCode="xELGA_h3">Knochenmark Morphologie</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
								</tr>
							</thead>
							<tbody>
								<tr ID="OBS-1-9">
									<td>Lymphozyten rel. /KM</td>
									<td>0.5</td>
									<td>%</td>
									<td ID="OBSREF-1-9">0.0-15.0</td>
									<td/>
								</tr>
								<tr ID="OBS-1-10" styleCode="xELGA_red">
									<td>Blasten rel. /KM</td>
									<td>92.5</td>
									<td>%</td>
									<td ID="OBSREF-1-10">0.0-5.0</td>
									<td>+</td>
								</tr>
								<tr ID="OBS-1-11">
									<td>Eosinophile pro 100 Zellen /KM</td>
									<td>4</td>
									<td>%</td>
									<td ID="OBSREF-1-11">0.0-7.0</td>
									<td/>
								</tr>
							</tbody>
						</table>
						<!-- 
							Kommentar Hämatologie
						-->
						<paragraph>
							<content ID="haematologyComment2"> Massive Infiltration durch
								leukämische Blasten, welche immunphänotypisch <br/> eindeutig als
								lymphatisch klassifiziert wurden (pre-B-ALL, s.u.).</content>
						</paragraph>
						<br/>
					</text>


					<!-- 
						Ende Level 2
						Start Level 3
						Anmerkung: Der Beispielbefund ist auszugsweise Level 3 codiert 
					-->
					<entry typeCode="DRIV">
						<templateId root="1.3.6.1.4.1.19376.1.3.1"
							extension="Lab.Report.Data.Processing.Entry"/>
						<act classCode="ACT" moodCode="EVN">
							<code code="300" codeSystem="1.2.40.0.34.5.11"
								codeSystemName="ELGA_LaborparameterErgaenzung"
								displayName="Hämatologie"/>
							<statusCode code="completed"/>


							<!-- Spezimen Information  -->

							<!-- Haematologie -->

							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="03010" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Blutbild"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-1"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="26464-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Leukozyten"/>

											<text>
												<reference value="#OBS-1-1"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="10*9/L" value="26" xsi:type="PQ"/>
											<interpretationCode code="H"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-1"/></text>
												<value xsi:type="IVL_PQ">
													<low value="4.0" unit="10*9/L"/>
													<high value="10.0" unit="10*9/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-2"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="26515-7" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Thrombozyten"/>
											<text>
												<reference value="#OBS-1-2"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="10*9/L" value="165" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-2"/></text>
												<value xsi:type="IVL_PQ">
													<low value="150" unit="10*9/L"/>
													<high value="360" unit="10*9/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-3"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="26453-1" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Erythrozyten"/>

											<text>
												<reference value="#OBS-1-3"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="10*12/L" value="5.39" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-3"/></text>
												<value xsi:type="IVL_PQ">
													<low value="4.6" unit="10*12/L"/>
													<high value="6.2" unit="10*12/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-4"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="718-7" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Hämoglobin"/>

											<text>
												<reference value="#OBS-1-4"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="g/dL" value="16.0" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">

												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-4"/></text>
												<value xsi:type="IVL_PQ">
												<low value="14.0" unit="g/dL"/>
												<high value="18.0" unit="g/dL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-5"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="20570-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Hämatokrit"/>
											<text>
												<reference value="#OBS-1-5"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="49.7" xsi:type="PQ"/>
											<interpretationCode code="H"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High"/>
											<!-- Template für Validator <templateId root="1.3.6.1.4.1.19376.1.3.3.1.5"/> -->
											<participant typeCode="AUTHEN">
												<templateId root="1.3.6.1.4.1.19376.1.3.3.1.5"/>
												<time value="20160123211000+0100"/>
												<participantRole>
												<id extension="332" root="1.3.6.1.4.1.19376.1.3.4"/>
												<addr nullFlavor="NA"/>
												<telecom value="tel:312-555-5555"/>
												<playingEntity>
												<name>
												<given>Franz</given>
												<family>Schmid</family>
												</name>
												</playingEntity>
												</participantRole>
											</participant>
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-5"/></text>
												<value xsi:type="IVL_PQ">
												<low value="43.0" unit="%"/>
												<high value="49.0" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-6"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="28539-5" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="MCH"/>

											<text>
												<reference value="#OBS-1-6"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="pg" value="29.7" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-6"/></text>
												<value xsi:type="IVL_PQ">
												<low value="27.0" unit="pg"/>
												<high value="33.0" unit="pg"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-7"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="30428-7" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="MCV"/>

											<text>
												<reference value="#OBS-1-7"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="fL" value="92.2" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-7"/></text>
												<value xsi:type="IVL_PQ">
												<low value="85.0" unit="fL"/>
												<high value="95.0" unit="fL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-8"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="28540-3" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="MCHC"/>

											<text>
												<reference value="#OBS-1-8"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="g/dL" value="32.2" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-8"/></text>
												<value xsi:type="IVL_PQ">
												<low value="28.0" unit="g/dL"/>
												<high value="33.0" unit="g/dL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<!-- Analyse mit V-Code-->
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-12"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="V00042" codeSystem="1.2.40.0.34.5.11"
												codeSystemName="ELGA_LaborparameterErgaenzung"
												displayName="Akt.Lymphoz.rel.mi."/>
											<text>
												<reference value="#OBS-1-12"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="7" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-12"/></text>
												<value xsi:type="IVL_PQ">
												<low value="0" unit="%"/>
												<high value="10" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<act classCode="ACT" moodCode="EVN">
											<templateId root="1.2.40.0.34.11.4.3.2"/>
											<templateId root="2.16.840.1.113883.10.20.1.40"/>
											<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
											<code code="48767-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Annotation Comment"/>
											<text>
												<reference value="#haematologyComment"/>
											</text>
											<statusCode code="completed"/>
										</act>
									</component>
								</organizer>
							</entryRelationship>


							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="03020" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Knochenmark Morphologie"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-9"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="11108-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Lymphozyten rel. /KM"/>
											<text>
												<reference value="#OBS-1-9"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="0.5" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-9"/></text>
												<value xsi:type="IVL_PQ">
												<low value="0.0" unit="%"/>
												<high value="15.0" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-10"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="11150-0" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Blasten rel. /KM"/>
											<text>
												<reference value="#OBS-1-10"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="92.5" xsi:type="PQ"/>
											<interpretationCode code="H"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-10"/></text>
												<value xsi:type="IVL_PQ">
												<low value="0.0" unit="%"/>
												<high value="5.0" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observationMedia classCode="OBS" moodCode="EVN" ID="BEFUND4">
									<templateId root="1.2.40.0.34.11.1.3.1"/>
									<value mediaType="application/pdf" representation="B64">
										JVBERi0xLjQNCiW1tbW1DQoxIDAgb2JqDQo8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFIvTGFu
										ZyhkZS1BVCkgL1N0cnVjdFRyZWVSb290IDEzIDAgUi9NYXJrSW5mbzw8L01hcmtlZCB0cnVlPj4v
										T3V0cHV0SW50ZW50c1s8PC9UeXBlL091dHB1dEludGVudC9TL0dUU19QREZBMS9PdXRwdXRDb25k
										aXRpb25JZGVudGlmaWVyKHNSR0IpIC9SZWdpc3RyeU5hbWUoaHR0cDovL3d3dy5jb2xvci5vcmcp
										IC9JbmZvKENyZWF0b3I6IEhQICAgICBNYW51ZmFjdHVyZXI6SUVDICAgIE1vZGVsOnNSR0IpIC9E
										ZXN0T3V0cHV0UHJvZmlsZSAyNiAwIFI+Pl0gL01ldGFkYXRhIDI3IDAgUj4+DQplbmRvYmoNCjIg
										MCBvYmoNCjw8L1R5cGUvUGFnZXMvQ291bnQgMS9LaWRzWyAzIDAgUl0gPj4NCmVuZG9iag0KMyAw
										IG9iag0KPDwvVHlwZS9QYWdlL1BhcmVudCAyIDAgUi9SZXNvdXJjZXM8PC9Gb250PDwvRjEgNSAw
										IFIvRjIgNyAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dC9JbWFnZUIvSW1hZ2VDL0ltYWdlSV0gPj4v
										TWVkaWFCb3hbIDAgMCA1OTUuMzIgODQxLjkyXSAvQ29udGVudHMgNCAwIFIvU3RydWN0UGFyZW50
										cyAwPj4NCmVuZG9iag0KNCAwIG9iag0KPDwvRmlsdGVyL0ZsYXRlRGVjb2RlL0xlbmd0aCAxODg+
										Pg0Kc3RyZWFtDQp4nH2PSwvCMBCE74H8hzkmh6ZJ2vQBpYc+FMWCh96KB8VWCr5Q/P82iNCqyMIy
										C7M738JdI0ncKl8UkGmKrMiR1ZS4MwVlRByg7ihRkEMphFpI7SM0vggi1CdKJA62zSlpWNZyx2P9
										/dq3R+5ohtV2xz12sfrGHcPs1HbcCdljUGfr3vMN6iUl5ZBpc99JWmlhwnFSwzDyoqxyYASvJvD6
										D7zWQvmvk4n0TJxOCX5/HnnC/1j+5nkCqo1DDA0KZW5kc3RyZWFtDQplbmRvYmoNCjUgMCBvYmoN
										Cjw8L1R5cGUvRm9udC9TdWJ0eXBlL1RydWVUeXBlL05hbWUvRjEvQmFzZUZvbnQvQUJDREVFK0Nh
										bGlicmksQm9sZC9FbmNvZGluZy9XaW5BbnNpRW5jb2RpbmcvRm9udERlc2NyaXB0b3IgNiAwIFIv
										Rmlyc3RDaGFyIDMyL0xhc3RDaGFyIDExNy9XaWR0aHMgMjUgMCBSPj4NCmVuZG9iag0KNiAwIG9i
										ag0KPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9BQkNERUUrQ2FsaWJyaSxCb2xkL0Zs
										YWdzIDMyL0l0YWxpY0FuZ2xlIDAvQXNjZW50IDc1MC9EZXNjZW50IC0yNTAvQ2FwSGVpZ2h0IDc1
										MC9BdmdXaWR0aCA1MzYvTWF4V2lkdGggMTc1OS9Gb250V2VpZ2h0IDcwMC9YSGVpZ2h0IDI1MC9T
										dGVtViA1My9Gb250QkJveFsgLTUxOSAtMjUwIDEyNDAgNzUwXSAvRm9udEZpbGUyIDIxIDAgUj4+
										DQplbmRvYmoNCjcgMCBvYmoNCjw8L1R5cGUvRm9udC9TdWJ0eXBlL1R5cGUwL0Jhc2VGb250L0FC
										Q0RFRStDYWxpYnJpLEJvbGQvRW5jb2RpbmcvSWRlbnRpdHktSC9EZXNjZW5kYW50Rm9udHMgOCAw
										IFIvVG9Vbmljb2RlIDIwIDAgUj4+DQplbmRvYmoNCjggMCBvYmoNClsgOSAwIFJdIA0KZW5kb2Jq
										DQo5IDAgb2JqDQo8PC9CYXNlRm9udC9BQkNERUUrQ2FsaWJyaSxCb2xkL1N1YnR5cGUvQ0lERm9u
										dFR5cGUyL1R5cGUvRm9udC9DSURUb0dJRE1hcC9JZGVudGl0eS9EVyAxMDAwL0NJRFN5c3RlbUlu
										Zm8gMTAgMCBSL0ZvbnREZXNjcmlwdG9yIDExIDAgUi9XIDIzIDAgUj4+DQplbmRvYmoNCjEwIDAg
										b2JqDQo8PC9PcmRlcmluZyhJZGVudGl0eSkgL1JlZ2lzdHJ5KEFkb2JlKSAvU3VwcGxlbWVudCAw
										Pj4NCmVuZG9iag0KMTEgMCBvYmoNCjw8L1R5cGUvRm9udERlc2NyaXB0b3IvRm9udE5hbWUvQUJD
										REVFK0NhbGlicmksQm9sZC9GbGFncyAzMi9JdGFsaWNBbmdsZSAwL0FzY2VudCA3NTAvRGVzY2Vu
										dCAtMjUwL0NhcEhlaWdodCA3NTAvQXZnV2lkdGggNTM2L01heFdpZHRoIDE3NTkvRm9udFdlaWdo
										dCA3MDAvWEhlaWdodCAyNTAvU3RlbVYgNTMvRm9udEJCb3hbIC01MTkgLTI1MCAxMjQwIDc1MF0g
										L0NJRFNldCAyNCAwIFIvRm9udEZpbGUyIDIxIDAgUj4+DQplbmRvYmoNCjEyIDAgb2JqDQo8PC9B
										dXRob3IoU2VlcmFpbmVyLCBDYXJpbmEpIC9DcmVhdG9yKP7/AE0AaQBjAHIAbwBzAG8AZgB0AK4A
										IABXAG8AcgBkACAAMgAwADEAMCkgL0NyZWF0aW9uRGF0ZShEOjIwMTMwNDAzMTUxNDUzKzAyJzAw
										JykgL01vZERhdGUoRDoyMDEzMDQwMzE1MTQ1MyswMicwMCcpIC9Qcm9kdWNlcij+/wBNAGkAYwBy
										AG8AcwBvAGYAdACuACAAVwBvAHIAZAAgADIAMAAxADApID4+DQplbmRvYmoNCjEzIDAgb2JqDQo8
										PC9UeXBlL1N0cnVjdFRyZWVSb290L1JvbGVNYXAgMTQgMCBSL1BhcmVudFRyZWUgMTUgMCBSL0tb
										IDE2IDAgUl0gL1BhcmVudFRyZWVOZXh0S2V5IDE+Pg0KZW5kb2JqDQoxNCAwIG9iag0KPDwvRm9v
										dG5vdGUvTm90ZS9FbmRub3RlL05vdGUvVGV4dGJveC9TZWN0L0hlYWRlci9TZWN0L0Zvb3Rlci9T
										ZWN0L0lubGluZVNoYXBlL1NlY3QvQW5ub3RhdGlvbi9TZWN0L0FydGlmYWN0L1NlY3QvV29ya2Jv
										b2svRG9jdW1lbnQvV29ya3NoZWV0L1BhcnQvTWFjcm9zaGVldC9QYXJ0L0NoYXJ0c2hlZXQvUGFy
										dC9EaWFsb2dzaGVldC9QYXJ0L1NsaWRlL1BhcnQvQ2hhcnQvU2VjdC9EaWFncmFtL0ZpZ3VyZT4+
										DQplbmRvYmoNCjE1IDAgb2JqDQo8PC9OdW1zWyAwIDE4IDAgUl0gPj4NCmVuZG9iag0KMTYgMCBv
										YmoNCjw8L1AgMTMgMCBSL1MvUGFydC9UeXBlL1N0cnVjdEVsZW0vS1sgMTcgMCBSIDE5IDAgUl0g
										Pj4NCmVuZG9iag0KMTcgMCBvYmoNCjw8L1AgMTYgMCBSL1MvUC9UeXBlL1N0cnVjdEVsZW0vS1sg
										MF0gL1BnIDMgMCBSPj4NCmVuZG9iag0KMTggMCBvYmoNClsgMTcgMCBSIDE5IDAgUl0gDQplbmRv
										YmoNCjE5IDAgb2JqDQo8PC9QIDE2IDAgUi9TL1AvVHlwZS9TdHJ1Y3RFbGVtL0tbIDFdIC9QZyAz
										IDAgUj4+DQplbmRvYmoNCjIwIDAgb2JqDQo8PC9GaWx0ZXIvRmxhdGVEZWNvZGUvTGVuZ3RoIDIy
										Nz4+DQpzdHJlYW0NCnicXZBNasQwDIX3PoWW08XgTEoLhRAYphSy6A9NewDHVlJDIxvFWeT2ld0w
										hQpskN/7xLP0pXvsyCfQbxxsjwlGT45xCStbhAEnT+pUgfM27V257Wyi0gL325Jw7mgMqmlAv4u4
										JN7gcHZhwBulX9khe5rg8Hnppe/XGL9xRkpQqbYFh6MMejbxxcwIumDHzonu03YU5s/xsUWEuvSn
										3zA2OFyisciGJlRNJdVC8yTVKiT3T9+pYbRfhsV9e/cg7rqq74t7f89c/t41lF2ZJU/ZQQmSI3jC
										65piiJnK5wcJyW8tDQplbmRzdHJlYW0NCmVuZG9iag0KMjEgMCBvYmoNCjw8L01ldGFkYXRhIDIy
										IDAgUi9GaWx0ZXIvRmxhdGVEZWNvZGUvTGVuZ3RoIDc5NjIzL0xlbmd0aDEgMTcwODg0Pj4NCnN0
										cmVhbQ0KeJzsnAlgVNXV+M99b5bMlplJMtkmyUwy2ZfJnhCWZMi+EEJIRhMgkJCwKZCYhU1RrHsU
										te47tlqXojIZUINQoYraVlGr1lrcsOKCkop7BZP5zn1nJgTEVq2f/vv/5t6c97v33P3c5d0JYYAB
										gAkfMphV3lRT9YHj4/tAONcAENlfUVre7JkSdjbAtfEAimkVpTPKlDOuGgb45Z0A4oaq8orK9x7/
										DEBYb8X4P6pmNTQdaGXXAdzcBeymN6qanKWiPOUoCAXlAJX7Gpoyc75W75sMwF7BVts7V3T0NO1o
										KQFIwjrF5s5V/dbMmvwagJqd2F7A4p4lK371Qel9AGlaAFXwko6+HggHG7Z/DZY3LFm+dvG7b3Vc
										DNCwBwexZumijq5Du3LfwfrnYXrBUlToNip2Y5znj1+6on/NzD0BC7HDkwASzj59Ue/K8DPDBYDz
										LsP0weXdnR333H3nqQCLpgLEzFzRsabH7AmNwvLYP7Cu7Fix6I3KWecBnB8OoJvX093X7zHDhdif
										fp7e07uo56nD/XaAPLSH6RbgtpUPz35mX+6WBfqpn0NEAHC348OznuF8et+21Uf3jW5UHVI+gXlV
										IAA5LKeAMWB71Lcf3XfkQtUhqaYJTryRa/SJ0ABySSGAATKhHUDbie1KWWS1wk5MDZDfKM/FKmOI
										4vPwiAABIOiVgiiTiYJsPwgeB9znoXYB6pusVsD+WxOpD8rbhEQrsE1SpbvlgXykWHvgsd6w5+AH
										OdlZsPGHlfz5nLjw5H1WjP33jcXv/O4/deKnUPV9y8jq4OzvkbfuuLgSar9LOeFiiPi+/fp/3bEv
										4fQfqZ5vtf+/mhtZPVR/n3Ym1iW8cny9YjbUfJ+6fgqH/V37c/fB7/zO7/zO7/7/cMLN8O4PLSsf
										grN+zL78tzjxF/73sN/5nd/5nd/5nd/5nd/5nd/5nd/5nd/5nd/5nd/5nd/9n3WiV6K8fx32GMYw
										JDwAMrgL4zFgQA3/Oy0dxEEp1MNCWAzLYDn0QB8MwO3WRI9HKqkDK6bPgA7oktJXQu94OvN8DuDx
										/YXXZ4y3CMzh6Xw719tupNSHGP43Y8D/Niz+WA/FWvF6KIZyJjA9i2QxLJmtYuvZJewydiUo2CEp
										18cn/nUbxgXv38IJ8K8dm9DOf+aMJ9Fhz79bYT4+fEojlOJt0rMbRRovko8Y2IP/YS9/Iie2Sivr
										x3P/FSvSUblgftu8uXNaW5zNTbMbZzXMrJ9RV1tTXVVZUV5WOt1RUjxt6pTJRZMKC/Iz7RnpyYkJ
										8bY4S3iI0aDXadSqAKVCLhMFBukVtsp2qyux3SVLtFVXZ/C4rQMVHRMU7S4rqiqPz+OytkvZrMfn
										dGDOxSfkdFBOx3hOZrBOhakZ6dYKm9W1t9xmHWZzGlswvLHc1mp1jUjheiksS5QiOozExmIJa0X4
										0nKri7VbK1yVq5YOVrSXY31DGnWZrWyROiMdhtQaDGow5Eq29Qyx5GImBYTkislDAgToeLMuMaGi
										o8s1q7GlotwcG9sq6aBMqsulKHMppbqsy3if4VLrUPruwcuGDbCwPU3bZevqmNfiEjuw0KBYMTh4
										kcuY5kqxlbtS1h0IxyEvcqXbyitcaTasrG72eAPMJU8w2KyDnwN23jZy6HhNh1ejSDB8DjzIhzhu
										Jkz3hQH7hj3E8cXG8r5cOuyAhRhxbWhsobgVFprd4MhMa3UJ7Txlty/F5OQpG3wp48XbbbF8qira
										vT+rloa7Niy0ZqSj9aWfBPzBdKtLTGxf2LmUs2PRoK28nOzW3OJylGPA0eEda8VQVibm72jHQSzj
										ZmhscWXaelwhtlLKgAorn4NlTS1SEW8xV0iZC9o7vaVcmRXlvF/WisH2cuogr8vW2LIdcj37h/Ks
										5q25kAetvB+u0DKclMSKwZauxS5Lu7kL1+dia4s51uVoRfO12loWtfJZshlcKfuxuVipRakUju2E
										3L7MfOTKhABri2AWW/lsocJaiQ9b6VRMMOB0SVE+o6VTrS3MDL5s2Io3Bw8dVw9GxISyap4k8qJl
										1ebY1lhy/6JLZm+f5AmugAl1GVAx3idq51u7Rrl5h1KsFYvKJ3TwuErl3g56azt5PwVuC2/DWCKA
										T2e1L0lMwJ2LOgGrkVR8FsOtLphlbbEtsrXacA05ZrXwsXFbS/Nb12Sra5zTIs22d5U0Hxej9EkU
										c0EsJvsiQhmuwco0s29apXiVFB+PVp+QXONLtg4G2OqaBnnlNm+FYMUdhINWJNZ0XDopKA+3ZiWe
										brbKDpvVYK0c7Bj2bFg4OORwDPZUtC+dzOuw1XQN2ppappqlvs5uWW9ex5sKgjpW11yakY5nT+mQ
										jV3cOORgFzfNadluwOP+4uYWt8CEsvbS1qF4TGvZju8Bh6QVuJYrecTKI7ym2RgJkPKbtzsANkip
										MkkhxTuHGUi6AJ+OQeewQDqDTyegTkY6h6TjDicpfCmaGI/bCmsXn56zWpcOtrfyzQWhOJX4w1zM
										VgwuwVY8xASF1qW2LSp1aWylXF/C9SWkV3C9EhcGC2VoHH4mDbbb8JzCBdUCZkZLUeRVWoc9nuaW
										2L3mkdZYXGrzUOa0uFRpePbLE2oxXxWXdlRXuTZ0dvB+gLOFl1Um1HS24rL1VYhZalwqrEHlrQFz
										VEpl+HLEQp04NziBUvkNGHFtaHW1pvFGW5a1SsvZ4IJq22ScdqpTnsgbymwdDLLlSHsTt4I64SIO
										FfYNmlpIY8YoNtZKRlJqseedNkzqbLeitWXQ2YRLnc5StZk0i/BIlCUukkRt9iYCH5aYoNGpXSo7
										Vog/PKyx8y0pT1C2tlLnpdhF3gzYtsGlwR4lTjCltwBaB5NqeF/w5yLsKs/6e15N4zDMtq3Bk4V3
										WqpJickuXUJNBx7+VF6DGtskX+EAfkZovHXsIa2Sj1yLdhcTmoc9d9vWxk5wGek2/nLgCxPM23Fh
										Q+vgiQrX3LSM9IATtTpJPTgYoDt5AbJXgG6cqIQhlTgsfOWOibYMC/90x6QhvnTHpCO+IHxO+IzS
										PqXYJ4SPCYcJHxH+QTlHCIdI+SHhA8JBwvuE9wjvEt4hHHDHqBBvU+zvhLfc0UGI/e7oCMSb7uhM
										xBuE1wmvEV6lLPso9jfCK4S/El4m/IXwEuFFwguEPxOeJzxHeJY6sZfwDOFpwp+o2T9Szj8QniI8
										SXiCsIfwOOExwu8Juwm7qM5HCb8j5U7CDsIjhO2EYcLDhIcIDxK2EbYS3IQhd1QOwkXY4o7KRTxA
										uJ9wH2Ez4bfuqGzEvYR7qNzdhLsIvyHcSbiD8Gsq/ivC7YRNhNsItxJuoapvJtxExW8k3EC4nnAd
										4Voqdw3hasJVhF8SriRcQbicqt5IxS8jXEoYJFxCuJgKXES4kHAB4XzCeYRfuM15iHMJGwjnEM4m
										rCecRTiTsI6wlrCGsJqwijBA6Cf0EXoJZxB6CN3uyHzESsIKwnLC6YTTCMsISwlLCIsJiwhdhE7C
										QkIHoZ2wgDCf0EaYR5hLmENodUcUIloIpxJOITgJzYQmwmxCI2EWoYEwk1BPmEGoI9QSagjVhCpC
										JaGCUE4oI5QSphMchBJCMWEaYSphCmEyocgdXoSYRCgkFBDyCXmEXEIOIZuQJUFk7nA7xjJJaSdk
										ENIJaYRUQgohmZBESCQkuMOmIOIJNncYX9Bx7rDJiFhSWgkWQgwhmhBFMBMiCRGEcEIYIZRgohZC
										qIVgUgYRjAQDQU8IJOgIWoKGoCaoqM4AgpKUCoKcICOIBIHACCCBeQhjhFHC14SjhCOErwj/JHwp
										Ncu+kEbEPiflZ4RPCZ8QPiYcJnxE+AdhhHCI8CHhA8JBwvuE96i9d92hNsQ7hAPuUFxg7G3C392h
										kxBvEfa7Q8sQb7pDyxFvEF4nvOYOrUC86g6tROwj/I3wClX9V8LLVNlfqLKXCC8SXqDK/kzlnic8
										R3iWsJfwDOFpKvcnqvqPhD9Q558iPEntPeEOLUXsoQKPU0OPUa9/T5XtJuwiPEr4HWEnYQfhEap6
										O1U9TFU/TFU/RHiQsI0a2kpwE4aoWRdhC+EBqvp+wn2EzYTfEu51m/DcZfe4TdMRdxPucpvqEb9x
										m2Yi7nSbGhB3uE2zEb92mxyIX1GW2ynLJspyG2W5ldJuoZw3U+wmynkj4QYqcD3hOrdpFuJaKn4N
										4WrCVdSlX1LOKynnFYTL3aZGxEbKeRnhUsKgO6QFcYk7pBVxsTtkHuIid0gb4kJ3SC3iAnfIXMT5
										lHYe5fwFZTnXsQV5WF9h+Siw2rJfO9PyGMrvUXaj7NKcYnGjDKG4ULagPIByP8p9KJtRfotyL8o9
										KHej3IXyG5Q7Ue5A+TXKr1BuR9mEcpt6qeUmlBtRbkC5HuU6lGtRrkG5GuUqlF+iXKlaarkC5XKU
										jSiXoUxXCV8LR+AUsAhHkUvBws5xB/PteLY7iC+tfkKf28iXVi/hDEIPoZuwkrCCsJxwOuE0wlTC
										FLeBYzKhiDCJUEgoIOQT8gi5hBy3nq/TbEIWIYhgJBgIekIgQefGSRlmWoKGoCaoCAEEpVvHp1rh
										mIv8B8oIyiGUD1E+QDmI0/kmyhsor6O8hvIqyj6Uv+G0vILyV5RHUX6HshNlB8ojKLfiVNyCMsw2
										kKXXuY18ya8l46whrCasIgwQygilZIfpBAehhFBMmEZDNhFCCMEc20VRFNwOy52PigJsQ9mDIopA
										fTmT0ESzPpt61kiYRWggzCTUE2YQ6gi1hBpCNaGKUEmoIJQT4gix1HkrwUKIIUQToghmQiQhghBO
										wwwjhDpuRo6ifI1yFOUIylc4wf9E+RLlC5TPUT5D+RRn9ROUj1HeQ3kX5R2UAyhvo/wd5S2c3b0o
										z6A8jfInlD+i/AHlKZQnUZ5A2YPyOMowysM44w+hPIiyDWUrys189oVRsvF6wlmEZW4jXoXYUsIS
										MstiwiJCF6GTsJDQQWgnLCDMJ7QR5hHmEuYQWgkthFMJpxCchGZCJsFOps4gpBPSCKmEFEIyIYmQ
										SEiguYkn2AhygowgEgQCox0Jjl8jPShjKO+jYV9G+QvKSygvoryA8meU51GeQ3kWDb0d5QIxwXK+
										aLecx+yWX1RvcJ67eYPznOr1zrM3r3dq1k9ZX7de1Kw3I85cv3n9q+sVZ1Wvc565eZ1Tti5knaBe
										W73auWbzaqdmNdOuqh5wNg8cGPhsQAwZaB7oGugfuGbgJVQo7xzYNrBnQBz27HYEDUyaUrlh4MoB
										IQTTBRhgeq6OHdAEVvZX9zr7Nvc6Zb15vcKUz3rZ/l4mZPWyWb3tvQLm2tobn1zJc+f3hkZWGnqz
										eh294hnV3c6ezd3Ohu7u7nO6N3Xv6paf031Ft7AFQ4KjW6WrXFm9wvnmCgY7BQ8YUHYLHreo7t4h
										jAGDj4Qxh4edjgY4DQ2xzL7EuXTzEudie5dz0eYuZ6d9obPD3u5cYG9zzt/c5pxnn+Ocu3mOs9Xe
										4jwV859ib3Y6Nzc7m+yNztmbG50N9pnOmaivt9c5Z2yuc9baq501m6uds6pZlb3SWSEWWPANAjH4
										0xOzIeZwjEzTHt0TLfRE748+HC32RB2OEs4xM33kOZFXRIp6fAj0iLBEXBGxKWJLhFwvBURtT9CG
										IKHHuMEoZBkdxueN+40yMN5uFPRX6Dfpt+jFBv0C/Ud6j162Rc+2BO4KfC5QbAhcENgdKOoDeVw0
										OALt2ZV6nUXnqMrUiVMzdSW6Bp14hY45dPacSocuPqmyRNugXaAVN2mZQ5uYUvmR2qMWHGpM+Ejl
										UQkeFQORWRkDZkCIAXyOmMlSietxayiTM7xaDDU3paXVDSs9s+tcAbPmutjFroQm/nQ0znEpLnaB
										c87cliHGLm8dYkJZsyuE/+JYil+wcSOURte5optaXLdHt9a5NmDAwQMeDED0UCiUtqbN7xvo6+tP
										60vDB8r8PtT0D+CPBIZP5EA/T+nvA8yS9i2O5+jjGJAy9Q0sGMA6MAHVfZKax+ZLWb6tjp/UfetI
										fgrHfs7G/2+78AXzAZS3AYxdPeHf2c9FfwtshgfhEfg9/AlehE+ZGtrhAtgFb8MH8AkcxW2qZCYW
										xVJ+rH/cxz6cJ18BOnE3KCAMwHPEc3DsXs9BAHngBM3VGAuTJR7TeII8Iyfqxq4eGx57VqEBg1TW
										IDyN2sNsxHNEKOFxTwGPCxfxsFTisPK2sS1jm47rTo/01wJrYC2sgzNhPZwN58B5cCFcBBfDJWiL
										czB8KVwGG+FyuAKuhF/CVXA1XAPXwnVwPdwAN8JNcDPa8Va4DTZ503j8NvTXSak85ddwF9wL9yHv
										gDvhN3A33IPx36L174MHUEcait+PmtvhV6i9C7U8F9dtQe+CIXDDVtiGc0ZxX2wYdsND8DByO87m
										DtgJv4NHcR5348w+Jum4xhf/9pz0fBz2wBPwJDwFf4A/4sp4Gp6BvfAsPPeDUp4Y1/DY8/BneAHX
										2kvwF3gZ/gp/g1fhDXgT9sPfcdUd+kb6K5hjH+Z53ZvrLcz1DhzEnCOYk/JRntek1PelGl7Csvvh
										AAuAz5kAR8GDIT5710kzdKM0j3z2+OzcKdmZz8cWjPMZunt8bu5HG9+P88ljPHyTdzYewLxDaEGf
										/U5utWe9s0P23ol5uC14yl6vLZ7yzgSv59Hxsk9LaW6p3GPjtR6zKI3wLxOs89oEG74D70qWIetR
										6jHr8RwHMA+3Mq/jeNv+HcuS9XlZrp9Yhqftw/hBPB0OoaU5P5Rm4kN4bzz8njd9BP4BH8Hn0vMw
										fIznyafwGca/QM1hjH1Te6LmS/T/hK/gCM7g1zA6ITZ6QsoojOEcA2NMYCKMHQsd00oiwyuGAs+0
										AKZiaqZlOhbI9HgVUZ6QohlPMX4jRXuSNJWkCWLBLATPyzAWziKZGc/NaBbDLCyWxU1IixhPsWKK
										jcWzBG9aqFQyYrysBXOETcibwrLYanymMTvLxHA2y2P5rJAVoSYD4zkYn4xpWRJLYRYshOVwRP6+
										8AzWH4KnyhD/DrixPvFVPDFFUEIR1MNMaN4JOnYrHquT2dPbyssDMpSPYlQAK3saAtB8tzqCZYLO
										bC6x5SsuExuNNSXKy4RmKBl94/Un8bE3qChzL8t8feTlEcPok8aizJGXRrKzmDHWKElIoKBUKhS2
										OLuQn5RYkJubUyzk5yXa4gIFSZdXUFgs5ubECGKIT1Ms8DgTX/26QawYjRfWxk5pypaztIQwS3BA
										gGiJ0SXkWvV19baC5Ei5LEAhygOUSQWlNufq2rhn1eFJUdFJ4WpkdBRy9DF54JFP5IFHT5WVH90p
										vF/UUhyvWKvTCHJVwK3JMab47KhpdTq9Th5oDouMUgYYA9Wp1R2jN0YmhKnVYQmRUQm8roTRKWix
										jQCyArRdDKTBJNjEL6DOlu1gEa5+MFJjMmmA/6tTemIu/3cYTWQSfvTamp2tjB/2vL9No2cz4vHj
										mkNlaMwL57E8/sHOoWyG8JLI+pG0kpE0NORIEcscyckcQTMGFaEZzUM/sJrsrFY0vcwWG5eYb8wr
										yI1Fi5r4XMSILM8u2GxGPhHBx4KygsSytp5zZo7dE5uREcsqVv/mjKnh9rK0wraK5LH7wrNqpl1w
										dVF5RmhZzOQ51bc8WlhXaGHnV/ScUpwcnJQuW5qelNx4VnNmU3meQZ3TcBp7M6k4JXTMZc4sGf0q
										oyorcuzKsIwy/leYG/n3N8pDIBLqfPYzCdc4NKDSzzZJIzLxT9gOxfiIWOZebgnHt2bAsSbwxUNj
										pdVjMvIRY0tqvXp0S2yGLiY3MSknRseuR4V8ZUyKWYvdvl5tUCsU+Dj6kSYihffOc0RxBs7wVPgb
										9c6h0WVlhWVmqu3h4ZHDQte2+GytVo2BhyG+oDFCqwnfwTLAAXbP4W0GmzAje9hz2GHloTADf+ro
										GZaZlW1XWJIbLc4gp9yJPUcXFFbE72c4hpycHBzmSyM5xlwDfxiLpmXm5hpzcdgP/rit+GzFN5rR
										xgJFHkpiNuO4Mo/v0RghjOUy3JiSLRVnaKKzEuKzorTC2CWyIEtWXFyWJUgcu07QxGSiPlpTkHGf
										vTTLqmXhMhans6RMShgyJ0Xo4n32lUUfPaAzqkW5xqCRRR19e1x/bm6B3laU+vWoyFInx+sDsRT/
										W94qz0FxlfhXyAUHS6GZcKvC8oaFudsgKQkmDwsVDoNRDGOfhrGwYW0e+zqP5fFP+iqtDvdEnn16
										6jALd5j3xzFxfdzGOMERNyuuPU7Ux1niBK0sLk4WPezZ7wjU4nKKDjew+ugj9tppuMNwY7H6aQcc
										2noZhGf6thTfUwvmt7W1LWgbMWI4re2MkbYzcKvuKcrECSviy1P/M/dGmll+0CYm5ud7D1y+GXLz
										+SYfP26LZdKUKrnGFBKam1NQKK4KSUvNSDEWbjylavWpWdPWblt9qjFpelZJ54xcg8aoUaijKud3
										T1l2bXv6l+3TTimIqCrJb7VbAg1KpSGwakppQs3y6pl9dfEFqSWpIVFxUYGRiWGW+GhbTHCK88J5
										+4Lic2MnOQry+Lye7TkoA3kPpMI0uM47r+rYgh1CO5ggTTjfoQKTuiA/VibP8h13WcOszqFLrDVX
										GmYUSfu/iP9C1CGv9+3/En7ohRXxDeSdjId+aB10bEqmSjId2xK+M4XeVHKvQZXG0FDp6IS8hVfM
										zZhZVRGviUiNsaREqLW4XxKyorVx5eXVyZ2DpyaPHTWmluVGZOUWxOR35GeXZ4SwQ6sfvbDamDg5
										pUOjV8tkar1GblMbNAqFxqAeC8YdFthw4daBotNmZwfGFSSPvVJelTNrMdqwDvfGM/gpKhHf39d6
										bagxF+0Q8GMeZAq9DnVwbKWmKMksC0z1GQDXX41DFV47/s6o2eYIrJfP4EeE77URVoRnEL68aTmr
										fmgdE0+YieswJzRs3JBiYiKtvxiBG7BQfEYdnhJjTY7QVFw/b/HG1uTchVctqFs3VSOZMUp7pKCz
										ILsqzRSUUp4XmZ1bYI3zmayzdjZaqZObctoU9rbPfqN55dXZsxflTzqtKUcfV5jM114t2u0hPFPS
										II/JyW5bg4Nj0/m/3aflyYa55WLF9OB0wZz+uIxv3zAdqweZQSbMmCVrlwm3y1wyQSaLykSLbNWz
										ek6HFfNkHkisDf8CAg2BglEMVIVrWb0qHDOovnJE0QobTUt7CbfsiHf3tp0xvy1tZH4bf9m/PoIK
										yeI/bdvSUlfYYr1zkEsXBMXEK5gpqUCaJ6X4UEr86FvmKW3TS7tqsvQqbYAoyAJ0k+f0l67eumZK
										8ap7T+vZtDjrM3HugqyqzAiBHbGnF7VNjwsOC1YGxUaEWkL1geFhxqnrHlm/etcFlaUDt8+3nrY2
										flpTJr5zI/AT+w3yNfjO7fPOSqgBzMPCgq1ZqQnqYRa9taAqMtG3ChOHmeUhR1a1dYahWnrB8aWX
										UzLCMvfkju7J3YOW3A7q71hownaX1qOJrKCwTXgf4oHqO0clq8iEG2QBaoXSGBEXZk6K1N6hwgtF
										SPAd2qic+PjsaE1PcLAcVd3x9asbkyqTA1Uy2SfRtmClMkBpTJiSNlsdlhxdmDlq5/cQfjsRXsgs
										jE4OU9fNvWSuHS+iEUm4Vk/3HGEb5TPxUIyFCrLKLggVdkEU3pbaQQ0WduaDjghDDW2/l3E8jC7e
										OPpvph331vdNbnCIQhpbAW5Nts53YvkYXNzsnDLN2Tw1ztdRcR3uN9xdejXLmjF5Us2MKUU4e2dj
										T9fhiW6CEu+NSa8zMY2GadRMB0wjw0tx+4MOtaGSusMypf5I768281af+qQ9/Gavxjtz7KikPogv
										4M7OgXOpD0OpwfyVEgMaYYEbYgx4XdqqYfUGvh74S9YwzOodGkdGbWpEfE3EDOpCSVCRtC7S6EVS
										JNnS8L1KHj8KvqhwnXxjWKaCAjoFX9BGZccnZEdpg+OLErMW5vtGqY5MsVhTw9S1NzbNXV8fNz5o
										Njq9Nj+6smx0y/icnOULLZk1a+qSwQ5cO9X4jpWhNYIhCc7wrZ0QYQDfDjH4VOOGo10RMcwi8VZd
										a5MOdBv/t8AJb8SRtGMr6ruWmLCffGeI72XpO+tlsqnrhs9c7eqfNG3dw2eucfVNGhs15TSVTGou
										MIdmNxcXNRdEsoO9Oy+uLT17eFXv7y6qnX728Lml3bPtKQ3dVciMlJnd/CYxdq0McJQTbxKxBWrf
										TeKCf3WTqDE0/Mc3iX9Xx8SbxEmWwLfdJPDFNz9p+rSp1vG1EJFiicEbRVLdzKbMhfwmccSYUpYT
										kc1vEu152RXpJjayeteF1XqL3TI2z7crZG/4Fsay5GkpIfUXulcXLZudrec3iX1lNTmNi2nfCDuk
										W3aPd98k6nG3OrQQqVdb1JlqUSeq+QsHdwAexE0OtSOtNlFvstaYpHUfVETrfgF/k+3x7hj1v89/
										wrF7si0i2Uch7MC3jDogJCImyJSagRvlhA1iK540KUoXYw3XyGWCWBdvj1TzYzZ+avroS9/cIt05
										0xP1olKl1ppScfQ1noPCJzj6Gjjo+yQ6XbA/GJ8Tn6PF10+5Iw60MjuzHyjEo0z9nrHQwQ+CQmuh
										IBYaC42h+qlsKv8cZuarYOqB6WZ5Sm2ogd/4IZQZZKGfjC8KtE8aH/xIWpuxqCgzc0FbmmGkDX/4
										QgviGukDrvV/ubVjZpf5dif9Nsau8MYVpolvwxCcgE+Kll7elDO3OitUKwvQqjRpDmdBXH5SSMK0
										+sb6aQk58y9qTm1wpAcHyERRqQ1QJRbVZcXlWA2JxQ2NDcWJLGZG/8wkfVi4KSM92mZSRsREBkYm
										R8akWaPi0h1zShynz0jVBpn0epMlzBwXojSFmwIjbSGWVGtUbLqjFWdpLb/tik/i2X66d41qkuiq
										axEWOPTBGTVJGnlETXy491cj9SdcSvmakw4y6VYb+F2yn+wGe+wzgHSOFRQeu8s+w7dobEo4Htez
										562vj9VE46GOizQoAQ/1jkLfHTZu4km99JLFwrhiLKBSOtaFRp8Gz7d3PR8LIF+Kh1kKWHbiu38Y
										rPjuv/whjTzBXG+ohJKS15/1ntC+j/HisVf7Cb9Le4upI9Jwy0SoWaTWkp+cnGfRyXWxBSkphVad
										zlqYklIQq2P3+E4P8TJdiE6h1AXrjjakTIrT6+MmpaQW2fT4UZ3/T+KzPJ/J81ksaCAMbJC6C8Kx
										dzGgFbZDEN60hx9WxJpUZr04A0pyc/fm5GA3uc/OSphw5ZB/S5hdVzyrYRoX9nxJwyweKmbPSTqM
										bZxbPO3UkwhabK3YJeyTr/ZZzCQosIOxguKhFLk5scpQhRbby7vyMreYz0DjJhs/rMVE6cOKSXhc
										ZYqLNNtC8E5tTrda083qseWqEFukOc4UwMIYV07PFi/3/SqD7ULryeX8w9v043UmE67W2/6dZ47/
										NX/FMS80+f3P5cWSb/VvnczL1pOX15zEv/hTeUXyd/CnHec/nuiVXSf3AQrJX0Be1fKj+Zf83u/9
										/t97ddy/9Ct+Rr/T7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3+/5qX/uci//7iC/EZ
										Au0gg3AwsmTPISjG5wEm4PNzpvc+r/R8wb+92PMxS2aC5018RnpexWeM5zV8rve8hc8rPYfYKin/
										Jd4nL3UZ5n8Rn5Ge9/AZ4zmIz/VS+Ep8Xok5P5L6kiHEAXi/B7pLeopSDwOlGA8LECCmgu+byO2i
										zBvGnouR3rAcwznesALDtd6wElaJC73hAEiVvhWah1VgFV/xhtXC7eNtaeAU8Z/esBZSZTO9YZ1w
										g2yNNxwIy5WG8W8Tz1Ge5Q0zUCof8IYFkKmMvu8Nh7CAMW9YBlqVyhuWY9jkDSswHOsNK2GKKsMb
										DgCT8jxvWAUG1VJvWM1mjbelgTTVGm9YCybVHd6wjs1QDXvDgVCgkfFvbpepvHamMNmZwmRnCpOd
										KUx2pjDZmcJkZwqTnSlMdqYw2ZnCZGcKk50pTHamMNmZwmTne8EKOZAF2fi0Qj0sg07ohW7oQ1kM
										/agrw1Av9EjPDtQsw9BKsGPKdFiO3gqzUbcElmJanxRbhFyEuVfhswtzlmG55ZhnIeqWYY5lUr4O
										lBVYV5eUdyXG+lC3Ukqj8suwB1aUDszHvz98LcZWY6gf27JK3zW+EMPLMa9V6vMAlubfNL4Se8Nr
										6fbW2o85Vnjb5DmsOMZuqU3eSp80lhpprItRw8c4gPpFUoleSbNc6nW/dxydmJIu1bxC0iyXauyQ
										vv88fUIrK7Ce5ZLFery9XImaFVKrVCcfZ/+EHvAWe6SxkL191qa+85a60QJWHD9ZnPdqBebtwPb7
										pRgfcf/4fJDNqBWr1PeV3nF1S7ZdKOU81uOJI+JWWyOVo1GfjnG7tB4mzmaSVNsKqYa1kh0GvDM/
										0d58xmj8i6T+8/HTvPRKq4GTWuRzbcU6esZHQ31c4s3Th7F13tr7cRQ0Q6vGZ6lDWiMdqF1x3Lh8
										q7kTe9Ihtd/pbd9+klU/+Rvj5N9k343xLjjFu2qWeddXPtZQiLvn+PwZ4/m/ffX3S/3oklYn79Pp
										4/Pis9fJ9uMS71rvGc/NVzOtgpWYf5G0nmZgjk5Iluycgnn+h7gzAY+quhv+uTOTWbMADpBExBFc
										gkJAREkh4o7KGhAo0VeZkAQSCEmYTIYMhkWlrohIqaJVRJu6QF9Eq+2rdklk0RCWVEhMFGgIGkRD
										muAlIPDlvr9zZhISoC39nu95vjn93fUs/+38z7np05Kh+rtbtc1T/fsp+Wg6mLJAlUQ1z7qOlxju
										fTDXQRWVs5XU+fQQ5Km04ixlCRm9XXttfy5ncEj7uR39pSodQpETVB4vUBL6VWwXqLkYau1ROsh5
										kam8mq3GyFR+nanatlvrLjEVvW8Lt/V1ehOaUxnKJmfnyQI1VrqaRxcaN3Qv66bjwUJlw4yOuMtQ
										7+XMDmnQHmv5StPccLSF+spURzl7ztVbvg/N0gRaSU/JaJjZMdKFpMo9r+eLt9HZ3tszpSec6/xK
										7vQuOed83dszzLlyjexkAalJSJdQ5m1fO3wdWTxD5bFclc/S/qmmITundbFpKAvkhY8hrULXhSry
										ClXLDJUTpDaZHf3Imjlq1vwrD/2/mhdn58RgJY2cA6HVIFH5Kl8UveMZOuT6oZ7x2em+vIK8WX7P
										HXm+/Dxfmj87LzfRc1tOjmdy9uwsf4FncmZBpi+QmZF4R1pO9kxftie7wJPmmZeXkenL9RSk5RZ4
										eJ89yzMrbV52TtCzINuf5SkonOnPyfT48gpzM7JzZxd48qjqz5xHy9wMT3qeLzfTV5DoudfvmZWZ
										5i/0ZRZ4fJlpOZ5sP2OkFwz0FMxLQ4L0tHyuZZN5hTn+7Hy6zC2cl+mjZkGmX3VQ4Mn35SG3FJve
										c3LyFniyENyTPS8/Ld3vyc71+KUeSEYTT052LmPlzfLMzJ6tOg4N5M8s8tM4e25moies5jUFnnlp
										uUFPeiHKh+T2ZzF+5gKPLw1dfNmoTcO0eZ7CfDkMPc7mSUH2Qqr781AoIFVK8yxI880LjSXNnJ6V
										5kOwTF9ih+lHtI/puT0vJ2MapkEZz42Jw4eGnw+Sz7uY3+9Ly8icl+abK3WRcp3142ysni8fp+dh
										gtzszILEcYXpCWkFAzwZmZ67fXl5/iy/P3/E4MELFixInNfeLpHqg/3B/LzZvrT8rODgdP+svFx/
										QbiqvJ6VxvBzZb3UvEKME/QUFmQyOALJ1540fJHpm5ft92dmeGYGlVh3TR13G2996gZPZRSGfLIg
										Kzs9q1Nbztm56TmFGTTFdhnZBfk5DCCtlu/LpkI6tTJz/Yme9rHzcnFpQvYAT+a8mbLR2a5y2ytf
										UCJVXQYlDirw+7LTQ5HTMboMmPa+RioBErIZheCVs8MnQzwjb0FuTl5a50GROS0kKSGAuthYXhT6
										8wv9mD2QnZ4p62Rl5uSfo9DF+EJ5YnBG5qw0pkFiWkF+Ufu/rWPE8q13oZ9GDXblIkbYDIOjKfwl
										ItS/LpQhRMc3zoV/3c0vRkZqmvxXhy62flSUqt98sfVjYmR905SLrd+tm6r/Pxdbv3t3Wd/c52Lr
										X3IJ9burfwXKzneRrC+/Ri9R/67TKBEl7hTxmkkM1mLECC1e3K31FVOw5gztQZGj5YmFWkA8oS0S
										q7SnxKtYbb22UnyofShK+Y6qMKeKGnr+Oz0dPmeMH/7FGPcwxjTGSGOMPMZYxBjPMMYLjPE6Y2xk
										jI8YYwtj7GaM/fT8DT01dh1D+7LTGNGM0YcxbmCMWxhjAmM8yBjZjFHEGE8wxguM8QZjbGSMPzNG
										OWNUMcZBxmim55/kv1fVdQxTbacxYhijLzWGM8YdjHEfY6QzRh5jLGGMFYyxljHWM8YfGGMrY/yN
										MfYzxhHG+Mn8Iq2F5uo6hvmbTmN0YwwPtUYyxj2MkcoYcxhjAWM8yRhrGOMdxvgDY2xmjD2MUccY
										RxnjlDlVczGGmzEu6zpGhNZpjMsYI5ExxjJGKmPMZYxFjPEMY7zKGBsZo5QxdjHGPsY4yhintQ81
										h3mM1psxBjDGUMZIlvPPbhV228kdO/jPjpN2i7BHlIZ+zXa+q51lSw9RTiytWrp/aTnFGiGs1ubY
										opqaInsEjalXw69Z3cTK57xRlfJrTpaWFtktht0yxNvslT+HSTjMpaUiNIBdfv2HBysN9Stb14Rb
										88u3dzxtpopZWC11odoWYY3IL63LH1Knaqt2RXaTZreo94xgsguT4+uvzWbNHrFu3Tq7VeukZoQm
										JVe/k3aHZnf9CzUdVuGwyYo7ZFN1FxkZWSzviq1WYbUV7ThTWlrsiDAcliTvBTUN37WrKhup3naE
										2/Mrsnc8PRnWr/k8VWUV1a7YYdIcIVU76xohHNIUDqvmsCtFlcQRmqNd2dKTDpfmiKrj11L3N+/X
										lO3eXRSbVdhsRculWsVOq+a0tyu846S6bdd4R7HNqtnsiHymdEuRM0I4Izp09jpNmtPSoXRp+Lb9
										pxqG+tzR3olU3Hn2+UlZzaLZwqqra6vSfUidahJqXSx7bg9Tqb5TmFw7SneUWiI0p02GgtOmOR1n
										2rZtk7SdkSrY2uU4c8YZqTmj6/Kb+dVukmX3kN1DtlFCIp5B1TPFLpvmcsj6++hiW9s+dW/lF1D3
										gZAKZ7ADdSOEKyKpyOs9efJChnCZNFcnQ5TabJrNobrdtk1dF6sui50dz9v2yWoRaC8nUYclmku9
										Q5rrVBPVuC0gu263xLmmcClTuOyayxkyxebNm9vOuKy86BDlzBlXlOaKqUuqS2oualazd+eanWt2
										r/ks9rNYOWdQcTmeP5MTadMiz9oDCdWDDoMgi92m2aUqbaWfthVHRojIzibxho3QbpPSSJMW2dko
										par5vrYGpVl7X8ourtCbbe2GUdO35mRdqBk3tqKTpc1FsSebVbNtYdtEmkyRHYEfMo5migwbJ1IZ
										J9KpRboMYSwtU6XTFddSQftZ+draIqO1yO51fer6NCc3J9fk1OTIYPxs+WfLN0dujnTYNAcSP25d
										LMeOsmtRzpC1DmP2w2371BMzv5FL1JMlIx12zeFMXnx4s1F6cMmoqAgtytrZYF5poYhOFiuNMmlR
										EaWdf6qLA8ahzerX0SHdL06OlHcdw8vKJAJbu9lKVZIoOrOlrqjP8jNFqmmol8+Mh6NMpqizllOm
										i9RM0XKKRCCmXaVbEd69OMUbpunCnB705Qj3bF/mXDEiJ82fK8bxRrtv8u0eEcuO0FC7Fit7CXf4
										ThM2Vv2e6nnoCesBa3QvivnelJR7xJWTJ473iCFTJo/1sOqF6sj9Yzf1/6locO1kRWzv3SJcooeI
										C98RfqyX8eLS9PyCfFGijuvVcZM6/kEd/6SOn87lo1F8ro671HGvOn6ljnXq2KCOjfLjRhyTR82q
										jvHqmKiOt6vjNHWcM2/uvLnaYnV8XB1XqOML6rhWHd9Ux40du8B/d9Qu8shqgG1YN7CwXci/fP//
										e2bCD1H/8Vn+f5YlisnqL2SPilXiDfG++FR8IerFMfY9DqWpPaxto5B//zfTzq3+xVi5QxsROj+5
										N3R+9eVObYi3w/Fd7rUIf9d769qu946nu95H9uh63zfQ9f6Kc973W9X1fuDbwmHqdD8op9N7q9Bu
										+aDr/V0mzk5iOkGkoE80bR7FVENMKWKJqcT0pVhnftX8qthr8VteF1URe6xPambnfc407SPnEy5N
										+zyyW+RdpjsiH4hcawpGZUTNMf05aknUctOWaFO03fRF9InoE+yTtUdSpG2se6I2XbBsp+yNOtCp
										fBMu2y9QmqL7dJR+lGGUUZQMVVadW6K2R78SvbHbynB5uVMpUeXUhUp3S/cxHWVZ9xUdpTlUevS6
										QEmgJLpXdyprQ0W9Oae4f+f+tKN83vMrSp0qbRcqPRJ6Rfbq13tZuDzdqaxW5dMLlsrep9pLrDs2
										vqPcGS5jLlhSVJkWPnctS8NHWW+bKns7Sqj1gdjmuGvjMuLWxr0ty7m9x228UAn1Hvc/cfXhop8t
										cpS4U2qspZLLxvVP7Ci39h/dUaaHy0MUf/+HrryaMuyqflcl9X+IY7+r/nD1n67Zrsp3CRMoGQPi
										KZ4B1QMaoXrAsWv/dN0qWQZUX7fpugOUkwNNA+0DN1I+TxxKuTNxwuCV4fL+9f4b4m/YN+zxmxIo
										Q4dHDp8wPCfpzXDZlPRx0ucj+lIGjgiM3JHcKsvNxTdvVOW7UX1HrQ6XtTd/x/3qUTXqrmbU95TV
										t7hvDdxacluvu26lbLs75ebiUG3ONaFa914t6907bIwTo149ZuXYaFWSxk5WRR9nGhc7rt9YnasU
										yqzxYrx1fMb41vGtE/pMaKBe0sQpE6eMS+E4U15Rsib6Ji5NsaoyMGWCKt6UXPCmFKU8mlLEe19K
										zaT7J3knHZt0bHK3yWupN5B36s3kkylF9828L2fqrp/fOb36wZUPvvxgyexHZ9dkTcsqaj9nrc9a
										nz0kd0XuuvzW+WL+qPne+XPm++c/On/T/E/nfzO/af5Jn9Xn9l3rG+a73ZfiayroVnB1QX7B4oKV
										BdsK6vwj/FP87/vrCuML9xaeCgwJzAoUBV4OfLAgfsGUBe8XZRU9XfRB0a6iuqAz2Cc4OrgyuH3h
										lQtHL8xauHDhsoVvLty08IuH3Q+PfnjNw+8/zBdWcWzxmOKM4o3F3y26dpF/0cZFdYv7Lh62eM7i
										JxdXL3EvuX/J20salvZZ+pd/krU2nZuZuuadpd+cLTKjPBJ9toRyyT+ZfWPOnXNdZ0oo1i+Yf9pz
										UKfSNYs8MuxskfnhkdvPllBmkNm0W0nstt6rych7R9WQP1U2Vmcyb/cxZNpV0a90Wxm1vT17dl8R
										tbd7c//psm3UpuhVZ7NoyErk6VEqE4dq9Yl+pd168qnKyrLuXvle1Q9bkH43RR0gp79Ci72qt+1I
										t5LzXlXOrhPfnLM+jOq0IpxdE16Rcp+3DpScuw6Q+y3hvL+sPeOrfmgdPYrrVe25EH+8HfYX2SmU
										gUIZLuxHsiI5UHptekd+bPcoWS52jKx/1sP9R9OPfK/zPCWunvvzooEcuLdTNr1Aju2cU8/Pp+Gs
										vU3FUSiD3tqeO2VO58lo2S/3o2NTbkqYOKVnW2glU2dWrd6nWKvaekWyDoVXnvYVpUevnm1nV59Q
										PMr1Tdbv2SZr0PrTXpHyjXyi1jKeyHc9ekVtb4/T2Hje1zECffRepu7U87Mrauc1Vcqk1s/2FbRj
										DWXNjLzAmrn6vDWzMrRSska623Xh/amQHEqSZWOTen4VeyeydfGGtOK5M7fd4qEZKW0bipj+07H+
										GOlbaZfYFPdq5fm3pac6ze7EuI09enWstXvDvS4NxYP0Syi+4jZe1e/Kq0OEVrUrr1YrUaciV7XQ
										iqbWxP/LotbRTuX8Gmp17VTCq2xHOb+FWl3/o6LW34suHav0PynnWkqWjrX7nxS1ml90UTuMiyzn
										WkftSzqV8+2n9iudioz0kKf/s3J+z/9euosrITvL/Ur0K8mtY5w3fxe1V+50VCmWT5Jb5e5G3t1c
										PMYp9z2hd7Kwaxood0qhp2ot+j5U1I7oVrWbkvummlE1ak8k9001tChW+xFrx75FloEp1okzU6xy
										z6LuBoZ3NqHrgex7suQTtbuhnTzLIuvTwqp686q3A+UxbiO1B8r9U6/IsdETZ8q9ltxnqZKknkTL
										fZa6S5o4U2ai8DuKTBNyR6Z2aCa1N6PI+rSQOzhqyt3Y2f3Z2KRR3yt7fCctMelYyA7JrUob5A3J
										OS5F9qz2eybZV6jfrvPwfH92joJrtofuhFUrNXaZxxu/M08VcebpIsbsMw6b/yIGCBNvKrirUVeN
										5qnGYaFx/EmYOO4xTzf28G2+wWgVW4xWzSv6a2liqjaTc7pI0DJEX22u6EvNSdScYc4xyoVGP98K
										C3VjqNuXujHUdar+GqnVIhzaQyKe94N4P4P3g3k/iL6G0lcCrd9S8ri4eh95+5qLjTLzIuM15L3B
										fMh43fyNGGT+Vgw1H+bdEaPG/D1fu+3S1gsLV5dz1RdpNtDTHlEkYsSNohuMEFeIkZBB/5kwCwqM
										/cKPVIUQgAVQBEG+cBcaW8XDUAyLYDE8JuLEMvgFPA5PwJPwFDwNz8By+Igv8I/hJNdtYIg4TYAG
										KSJJmwST4T6YAtliorZN9EbjGeZpItn8gIg0z4AckWtegqaPiP7mx0Rfy2vGVss6eB2+EHGWPbAX
										qqAavoQaqIWv4GvYB/tFXEQ3oyaiztga8YOwRDRyfRSaja3WCHGjdQDnG8QV1ps45xg11nmQC3lQ
										aOy3BgDbWLGNFdtYFwK2sb4rkqyb4I9wQiTZrhW9bdfBDBFn88JMmA8+CMJSeASwkW0lPA+vwesi
										wbaB81FogmZogWNwArChPR0yIBMKRW+HEEkOt+itYreJuHaqqyN4/aToSdRuJ2q3E239ibaxRNuj
										RNv9RNsMoi2FaLuH2qXEy+3macTKz431xM1U4uZJevCb/2K8bD5EnH0rnOYG46/mI2KsirPD1GoQ
										3TtmxUMiuVP/M+i/gP6n0v9t1J4Z7nsLrW6m73X0vSHcX4qI7tSLk16G00suvSTTS3J4TgxHysP0
										dB89PU8vKfTwV6XpH9VVLH38mT7+TB8J2gzjY/pJpp9s+hlLP/fTz2gt2/iCvpK1NcaHtPyE/nrQ
										XxDJCugzHsmC9LbKXG+0IN0W83fMrCPE3PfhGRvVacYOoteh4dkvZ2wVLfcz88YbrxK/rlCGkX/T
										5XmteEk8ZjSKZfALeByegCfhKXganoHlsN04LSpgB+yEXbAbKuFv8AXsgb1QBTWw32gTB+DvUAcH
										oR4OGZXiG/gWjhlfih+Ng0KH49AKJ+CkUSV+Yk6fgtNwBv4PtCGLYTRqAjSVFRvM9xvN5v8yWs0P
										cfYarZYvjEbLHtgLVVANX0IN1MJX8DXsg/3wnXHacgS+hx+gEY5CE/wDmqEFjsGPoAOyWNrAYM72
										MCpttxqnbXfBGBgLE4yDtimcp8L9vH8AHjK22mYYjTYvzIS5vJvP2Qd+rhdAEQS5L+a8lPMj8DjX
										TwB+sD3HeSXn5+GXXK+GX8EL8CL9v8bzN7gu4XoD1+9y/QngIxs+suEjGz6yfW202fYBPrLhIxs+
										stUh40GoB3xkO2J8afsefkCXRjhqVNma4B/03UzfLXAMdOriO1srz09wj4/s6ZABmfjLJFYIN546
										JcxihVHbsXpFcPcRd8u5W0SU15h3i35C42mruJPIrCYyq4nMaiKzmsisJjKricxqIrOayKwmMqup
										fYBIO02knSbSThNpp4m000TaaaKokYhpJWJaiZhWIqaV8XYyXp35QWZCGsw0vjWnG98SNdVETTVR
										U03UVBM11URNNVFTTdRUEzXVRE01UVNN1FTjyVY82YonW/FiNV6sxnOteK0ar1XjrVY81YqnqvFK
										Nd6oxuqnsfpprH4aq5/G6qexaiNWbcSirVi0FYu2YsVqrNiKFauxYjVWrFYzdqewYcskZrKVtfdV
										1t415kpxhflvooeZ1UbZ93DYvgeVfZ/i7mfc3YF9i+TeQkxnnXSzTrpZJ92sk27WSTfrpJt10s06
										6WaddLNOuhlpEGtlPGtlPHP2AHP2AHP2AHN2P3P2OHP2OHP2OHP2OHP2OOtpDHO2ljlby5ytZc7W
										MmfxN9l2mkhgnh5lnjYyT48yTxvNM8VAczrkiIzwOno566ibtdPN2ulm7XSzdrpZO92snW7WTjdr
										p5u1083a6WbtdLN2upmLtczFWuZiLXPxAHPvOHPuAHPuAHOuljXOzRrnZn1zs765WdfczJVa1jY3
										a1s8c6WW9c1N/B8g/g8Q/weI/wPE/37ifz/xf5z4P876F8P6F0P81xLzB4j548R8LWugm/XPzfrn
										Zv1z46npxlEZ9ejI3GaXtoLsPZW1a5pxgKz+a94/iT8+5O2bxPxQ8xdcMyvNVaxj0odfUns/tWrI
										1CuMxdwFaVtLW/k0I7wO7qTtINruot1oYaXmm9RcRM16av6dmnPULktGznrV0wO8H8/7XbyXMXI7
										PS3n7ev0lEBPW+hpoKrfqHaLh9SxlfUvhr3g/ZAD8yAP8mE++MAPT4vBortWqub6K/S+So6uPLsO
										PhHDzGVQzz73kBjNXjGG9dvNXjHO/B3nI+ysvufZD+zMzLTcRYte7Czj5MpO+xyRzDp2P/uuB0SK
										+SG1B2OVRrIEJEtAsgQkS0CyBCRLQLIEJEtAsgQkI/oY4wF2bA9xniFyVUs3Ld20dNPSTUs3Ld20
										dNPSTUs3Ld20HErL22g5lJa3qZYxtIyhZQwtY2gZQ8sYWsbQMoaWMbSMCbccG24p9ygP4LEZzCtp
										44/VTuEU1qqX/7sc1vJJMBnugynCwQ7OwQ7OwQ7OwQ7O4ZD/Wx4LFu5BmzlYeJzaj0sffSP2agnG
										IW0AXAvXwUAYBIkwGIbA9TAUboBhcCPcBMMhCX4GI2AkJMPNMApugVvhNrgd7oA74S4YDXfDPXAv
										jIGxMA7GwwSYCC8b9dqv4RVYC6/BOngd3oDfQAn8Ft6Et+BteAfWwwb4Hfw3bIR3YRO8B+/D7+ED
										+ND4EYvUa2XGfu1T2AxbYCts4/lnRrX2OZTDdqiAHewndsIu2M28vZ/IfcjYY9lq/GjZBp/B51AO
										26ECdsBOVoNdsNuojuhu1Ee4jUMRPaEX9IZYiDMOWZ+Dl4x6KzawrjUarW8aP1rfgrfhHVgPH/B8
										M+ctsJXrSqPauof67FusrcYh22VGva0vXA4euML40dYP+sOVcBVczcpxDSSQtwbAtdS7Dq6Hodzf
										wLuRrDbJnCcbP9pNxiG7GSwQAVawgR0c4AQXREIUREMMdIPu0AMuAbdRb+8JvaA3xEIcxMOl0AeQ
										3478duS3I7/9CugH/eFKuAquRqah7BtugJ+x8o2AkTy7FUbD3TCD8WZynsW72dTLgmyYA4X0sQgW
										wxJYSt3neP4b6r9F/beN/fZ3uF8Px3h23Djk0Ix6B7o6LjGqHejh6Gk0OjzEUJFmIlrMYIEIsIIN
										7OAAJ7ggCroZh7Xu0AMuATf0hF7QG2IhDuKJsL7GUe1y8MAV0A/6w5VwFVwN10ACuWYAXAvXwUAY
										BIkwGIbA9TAUboBhcCPcBMMhCX4GI2AkJMPNMApugVtB5rPb4Q64E+6C0XA33AP3whgYC+NgPEyA
										iZBiHNEmwWS4D6bAVPSbBj+H6ZAKi9BlMSyBpfAIPAqPwTL4BTwOT8CTwFeHttI4pT0Pq+CXsBp+
										BS/Ai/AyOfPX8AqshddgHbwOb8BvoAR+C2/CW/A2vAOshtoG+B38N2yEd2ETvAfvw+/hAygll5fB
										p7AZtsBW+Aw+h3LYDhWww2giizSRRZrIIk1k6SfI0nmsA3Fk/mTWgTiyfzJZ+0sLGc9CxrOQ8Sxk
										PAsZz0LGs5DxLGQ8CxnPQsazkPEsZDzLRuOo5V3YBO/B+/B7+AA+hP+Bj+Bj+AT+BH+Gv8BfoRTK
										4FPYDFtgp4ix7ILdIiaiu3BGuEV0RE/oBb0hFuJEtHW5cdT6LFnoOa5f4HqNcdj6knBa8QHZrMm6
										jnfoYv0t75DZisxWZLaSpa3vGkesmwB5rchLlmuy/oH6f+TZR7z/GJDXirxW5LQiJ9mvyfoZdbbz
										roL7HbATdsFuqBQx1j2MzReelS88azXPvjROkSmbrF8hG1911sO0/YHrRq7ZY1vZY1v/AXy5WFuo
										fwx+BB2OQyu6nTCO2KKNo7YY6AbdIdY4ZYuDeLgU+sBlwmnrC5eDB65mV3gNJMAAuJ5nQznfAMPI
										vMNhpNFkSxYxdpOItpvBAhFgBRvYwQFOcEEkREE0xEA36A494BJwC6e9J/SC3hALcRAPl0IfQE47
										ctqR046c9iugH/SHK+EqIM/Yr4OBZMRBkMj1EDLn9VwPNZrIxE32YVzfBMMhSWZm9BgB47geDxOM
										w/aJtEs1TtlnINss3s2mXRZkwxzgS9fOvtK+ABYx7mJYAkup/xTjMefJ1E32Fzivoa+X4GX4NbxF
										f2/DO7xfDxt4plPvOG1PG6ccwjji0ITTYSdzY0OHk3N3nl8iYsjmTQ5WJUdvnsVCnHHUEQ995F8k
										5ewO76WeYlbWq33ZXzueL+P5Y+ovKHKP1SIiTPcY08zj5V+mhFP+VUu9G2gaYjSYhsFw47DpFs73
										GHtN9xpbTWNhvFFJTzXsKBrYUTQ4pxtbnffDE1w/CU/B0/AMLIdnYQU8ByvheVgFv4TV8Ct4AV6E
										NfASvAy/hlfgVVgLr8E6eB3egN9AidEQeZ3RIMxI2mqaztewlH8k8uvIr5tGGDXIr5vu4PyUcdD0
										tHGQvOUhZ3moudV5n1HjnALT4L8g3TjonAM5kAv54IcnDB3ddHTT0U1HNx3ddHTT0U1HNx3ddHTT
										0U1HNx3ddHTT0U1HNx3ddHTT0U1HNx3ddHTT0U1HNx3ddHTT0U1HNx3ddNcY46BrLIyD8TABJkIK
										TDIOoruOD4cbX+KhGpPyo/GJ+lvE5ei+Ab03mB4wPjFlwDx4yijHBuXyawTdN6D7BnTfgO4b0L0c
										3cvRvRzdy9G9HN3LnUXGJ84gPAyPwC+MT5CrHLnKkascucqRqxy5ypGrHLnKxW14IIAHAsjWgAcC
										yHeKCGohglqQ8yskqUeSevPUthPIGxP+mhkU/poZFP4bYQ3R1UJ0tSBdPdLVI1090tUjXT3S1eOZ
										AJ4J4JkAngngmQCeCeCZAJ4J4JkAngngmQCeCeCZAJ4J4JkAngngmQCeCeCZAJ4J4JkAngngmQCe
										CeCZAJ4J4JkAngngmQCeCWCBeixQjwXqsUA9FqjHAvVYoB4L1OOZgLgDK3ixghdf7MYKXvyx23SP
										iEf7VLRPxVuJfL2+Hv6GviG8rg4Or6uDw9/FXny1G1/txle78dVurJGKNVKxRirWSMUaqVgjFWt4
										sYYXa3ixhhdreLGGF2t4sYYXa3ixhhdreLGGF2t4sYYXa3ixhhdreLGGF2t4sYYXa3ixhhdreLGG
										F2t4sYYXa3ixhhdreLGGF2ukYo1UrJGKNVKxRirWSMUaqVgjFWt4hY1YaEHjAWi8GI0XoXFPNMxD
										wwdEHDZ6D/u8h20qsU0ldojBBvK/P1qP/u+h/3vo/x76v4f+lehfif6V6F+J/pXoX4kclchRiRyV
										yFGJHJXIUYkclchRyVzJxtJd890xMcg0iSidTq7LJs/NIcfNhRzINarUXy7ac90icsYSY6vrYaPB
										VQyLYDEsgaXwCDwKj8Ey+AU8DuRGF7nRRW50kRtd5EYXudFFbnSRG13kRhe50UVedJEXXeRFF3nR
										RV50kRdd5EUXeTHaAU5wkfM09dcvKbvOHK9ljtcyx2uxmwu7udTsKTJqmbu1zN1a5m4tc7cW2XVk
										15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15Fd
										R3Yd2XVk15FdR3Yd2WXOmm7sw9o1WPiTjpwlNdonhqJRCe+/5f0pvNGKN1rxRit1v6LuEOomM1Oc
										aJrATHGibQJx9KzM/XioFQ+1omUJWpagZQlalqBlCVqWoGUJWpagZQlalqBlCVqWoGUJWpagZQla
										lqBlCVqWoGUJWpagZQlalqBlCVqWoGUJWpagZQlalqBlCVqWoGUJWpagZYm4EU2C+GYnvtlpyha9
										8M9ONMhkBjQyAw6hybNo0gdNrkWTPmhyLZqsQJNN+G4nvtuJ73biu534bidaBdEqiFZBtAqiVRCt
										gmgVRKsgWgXRKohWQbQKolUQrYJoFUSrIFoF0SqIVkG0CqJVEK2CaBVEqyBaBdEqiFZBtAqiVRCt
										gmgVRKsgWgWZx9PVPE5Ciy/Q4oPwfx8r9xVvChf6lqNvObqWo1dPdOrJm3fRpxx9ytGnHH3K0adc
										WE2F+DhABC8wjpiW0fpZ1odfyb+x8/Qn0zKjVWgcT4gB1DhhKuJZUD3fbXpcOExP0Jq9vOkF0c20
										hucvGT+5LoU+cBn0hcvBA1dAP8iATJgFsyELsmEOzIUcmAe5kAf5MB98UAB+KATkcy0AZHIhk2uh
										8ZPS5yckbTAtMv6BLodNq40m04vIf7/JR14rgEKeFqFlEJYYX5iWwiPwKCwTl5keN/5ieo56K439
										pudhFfwS1hifo9/nLhO5zAwWiAAr2MAODnCCCyIhCqIhBrpBd+gBl4AbekIv6A2xEAfxcKnRgg1b
										sGELNmzBhi3YsAUbtmDDFtcI4wvXSEiGm2EU3AK3wm1wO9wBd8JdMBruhnvgXshAj0yYBbMhC7Jh
										DsyFHJgHuZAH+TAffFAAfiiEACyAIgjCQuNzYSFyDmLFOqx4xPSCcZpYWmZ8T5ycECl4QccLeqdI
										qmLFaWLFaaJGE1bWTXKXlm40scI0scI0scI0scI0scI0YX0d6+tYX8f6OtbXsb6O9XWsr2N9Hevr
										WF/H+jrW17G+jvV1rK9jfR3r61hfx/o61texvo71dayvY33930bwGOQYC+NgPEyAiZACkyCDPjJh
										FsyGLMiGOTAXcmAe5EIe5MN8wDZYV8e6OtbVsa6OdXWsq2NdHevqwo51/06EtxLhjabFxPAy4cba
										9Vi7Hmu3iHxsXIaNy4j0BmruwtYN2LrBtJCZughPLKblEqOZyG8m8puJ/GZ6seKHCvxQgR/+YVpB
										xlxpHGIGHGIGHGIGHGIu7SU3lOOjKnxUhY8q8FEFPqrARxX4qAIfVeCjMnxUho/K8FEZPirDR2X4
										qAwfleGjMnxUho/K8FEZPirDR2X4qAwfleGjMnxUho/K8FEZPirDR2X4qAwfleGjMnzUgI8a8FED
										PmrARw34qAEfNeCjBmZIMzOkmRnSzAxpZoY0M0OamSHNzJBmZkgzM6SZGdLMDGlmhjQzQ5qZIc3M
										kGZ8XIGPK/BxBT6uwMcV+LgCH1fg4wp8XIWPq/BxFT6uwsdV+LgKH1fh4yp8XIWPq/BxFT6uwsdV
										+LgKH1fh4yp8XIWPq/BxFT6uwsdV+LgKH1eJbDzYiAcb8aCOvz/Bizqe24fn/oHnWvBcC55rwXPS
										/73x/0d4rxHvNZqe4dmzePo5YyMePIoHj+LBo3jwKB5sxoM/Eid78OJ3ePE7vNiIFxvxYiNebMSL
										jXixES824sVGvNiIFxvxYiNebMSLjXixES824sXG/yXu3uOkru97j/92Z9hdhlkmUTRqjMZivKXG
										u2li0tT2tDQ1Jpo0KTWNSRtMg7GaCxhveAMveAFRbgYvEBGFpWqNmLIkEAQRb8PK4jIkDLvgZmbW
										HXb87cIiS+R7njMhHpPTPs7p43EePX+8Hr+Z2d/8ft/v+3MfmZEVy6xYZsUyK5ZZscyKZVYss2KZ
										FcusWGbFMiuWWbHMimVWLLNSzEoxK8WsFLNSzEoxK8WsFLNSzEoxK8WsFLNSzEoxK8WsFLNSmZXK
										rFRmpTIrlVmpzEplViqzUomVSqxUYqUSK5VYqcRKJVYqsVKJlUqsVGKlEiuVWKnESiVWKrFSiZVK
										rFRipRIrlVipxEql6FRWGmSlwVo0TokyrBCzwgArDLDAIAtU56YB6g5Qd4C6A9QdoO4AdQepO0jd
										QeoOUneQuoPUHaTuIHUHqTtI3UHqDlJ3kLqD1B2k7iB1B6k7SN1B6g5Sd5C6g9QdpO4gdQepM0Cd
										AeoMUGeAOgPUGaDOAHUGopNkhiGZYUgW7lbPU/V32sVdNf+xeo9nY66/3x+GRNyQiBsScUMibkjE
										DYm4IRE3JOKGaD1E6yFaD9F6iNZDtB6i9RCth2g9ROshWg/ReojWQ7QeovUQrYdoPUTrIVoP0XqI
										1kO0HqL1UPRtWnfRusuKy1ZczV9FUVAUBUVRUKzp/7sImM7L75ENZ+Be3AcdfH31k43/3Nu72KOL
										PbrYo4s9utijiz262KOLPbrYo4s9utijiz262KOLPbrYo4s9utijiz262KOLPbrYo4s9utijiz26
										KFimYJmCZQqWKVimYJmCZQpWo6EoGoqioSgaiqKhKBqKoqEoGoqioSgaiqKhKBqKoqEoGoqioSga
										iv8X0VBgoQILFViowEIFFiqwUIGFCixUYKECCxVYqMBCBRYqsFCBhQosVGChAgsVWKjAQgUWKrBQ
										oVbjK7rS7dHZ72avmTKOXpL2Zdr/92SUcbgE38I/49sYDza3x7I9lu2xbI9leyzbY9key/ZYtsfy
										iKovTMSV+CH4mz2W7bGsx73Sjv5XzJRF/C75thrpg3Lq4P8pRvTuV+qxp/DjW/nrnR7fpVeabvqe
										HR0UfZ5yfZTrq3Xlk3C9s6Y4TpX374C5T2xWq3PsXSfWuttZHs8N/RTu590V3l3h3RXeXeHdFd5d
										oXwf5fso30f5Psr3Ub6P8n2U76N8H+X7KN9H+T7K91G+j/J9lO+jfB/l+yjfR/k+yvdRvo/yfZTv
										o3wf76vwvgrvq/C+Cu+r8L4K76vwvgrL9LNMP8v0s0w/y/SzTD/L9LNMP8v0s0w/y/SzTD/L9LNM
										P8v0s0w/y/SzTD/L9LNMP8v0s0w/y/TXppU9lHr53bkljhK1ucYkzUr7oi/TtoO2HexXYb+KWrrb
										X7eyxAj6luhbquW/6aw0U0aZpVOaq4O9P/TQtUTXEl1LdC3RtZSq1ob60EHXDrp20LWDrh107aBr
										B1076NpB1w66dtC1g64ddO2gawddO+jaQdcOunbQtYOuHXTtoGsHXTvo2sGnKnyqwqcqfKrCpyp8
										qsKnKnyqQvcS3Ut0L9G9RPcS3Ut0L9G9RPceuvfQvYfuPXTvoXsP3Xvo3kP3Hrr30L2H7j1076F7
										D9176N5D9x6699C9h+49dO+hew/de2oaV3XvpfHb0UH1y3jy6vB8/XP8ck2YUP9CeKR+IPyyfne4
										o35veC3RHHYkTg69iVPC44kzQ9e7/075K9ERib+LMgf+vfIO1lrIGk+IsOd4/xo97FqWeB4viLT1
										LPOyx1m96CaWfN2xA6XokPoeVWy39w16/x4MuVsUOhONaILa6O7FxGlePx1n4KzwVuKc8Eb6G6Gc
										viS8mP4O5If0FY7USFMjLR+kr3WcFErp63EDJnvtLq/djWkw76Tv89pMzPGY96QfcI2FYTC92PWf
										xFOhN/1veNprP/F8uaM9pdu89ho2YrPnOfzK463oct7O0JkewJ7Q2TwqlJoPwaE4Gh/GsV6/NLzY
										fJPH1tV8W+hpvjv0Ns/C/XhEx/I3B1Tdzkb7qLqZqnmq5qn6DlW3UrVI1c1U7afqZqpupmYfNcvU
										LFOyTMkyJctU3EPFmIoxFWMKVii4nYKbKbiZgtspuJmCRQoWKbidgsU/UHA7BfMUzFMwT8EiBbdT
										cDsF8xTMU3Az9SrUq1Avpl5MuQrFYorFFIspFVMqplSFUmVKlSlVplSZUmVKlSlVplSZUmVKbT6g
										1HZK5SkVUyqmVEypcnRM/ZIwvn5ZWEqpdXzwNxR6giql+m3h+/zsxvqesIhnj6/fFVp59kX8LJ9I
										hFyiIcxLpMPtNU8fFU5JHB1dmvhIuI3X/3niY+GbVHuO53+Oz61I/Gl4JHFuGHfgE6n8gX+VfGli
										fFglClZEaXfvYKcOd3/F3brZIutuO1y97IoDrtbharEYOkcMnRuNtO5B79roXXu9qxofg9Z7unfn
										DkRgybp2WteRrtDhCgVXeD1qru10jc7phfCUd5zhHdvdb6t3tdvRPu/c7l1HH3hXzrs6ow/xqIp3
										9fGkAZ40wIt6edEuXtTj3rt5UQ8v6uEVPbyih0f08IhdPGIXb9jFGyq8ocIbKjxhgCcM8IQBnrCL
										BwzwgAEe0MNiPSxWYa0BOb4UHWstzfa7UF+3xH3/3RqWY314u/ZveMfygKtCn+sXXL/g+oX0/Z4/
										FPpcpxAlvWuvlX/LO16vWlbeWBJeYvNOr77u1Ww976rpt02+GEW7L4fXXff1aKy7TnP2jWKp4B1P
										ufskd5/knXsosZsSu11hc/3LZvOs+2yiyOuOHciFFldcxoM21pd5QwqjwlUJNTWhpibU1MToMDlx
										LD7Cxid4fiJO1l+dye6f8fjcsMtqPms1nxVzBerupe5eMVeg8N70d6NR6e9Bp0aFSelrPZ4UplFi
										GiWmibsCtXdTeze1d6en+/t9XpuJOZ7Pxf3e94BrPeT4r5R7AivC5PRax1fwKrLYgl8i72+djtux
										I0xujsJzzcNCS3MDGnGM58fh0rCXBaaJvQJr7m6ezSJzMBc/woOhRUVeXfPEHSz9V7LOfllnv6yz
										n9X/QoTvF+H7Rfh+0bw/OpI9YtqXaV+gfcG7mt+bm+w9tvfY3mP7Lth3wb6rey3Ya+HdvPIf5BRr
										ja2z8N4cUZdyx4k84BbWb2X9yaw/uf7nLLoSq0Xr2ujQ+ufxghzyMj/d6PVq/sipiltM37/Er7AV
										eWwLt9V3Ou7AG/yv2/HXKKIU3cRbnq5/0+NelF1jp2MfKu77FmKP+zEQrpKT2mXsooxdFL3jq7mp
										fp/XfoN3wqb6/Y5BVNehHtW8leRtwzxuCE/yyAmJEbWov0HUdyUyYWbifXg/DsKocC5vvYi3XsRb
										L1JTlyaOCPMTH/S3I3F09LXEMY5/hNHhfJ58Pk++PnGc58fjhDCWR49NnOTxH+Pk8EW5cYKs8iqr
										LWG1Jay2hLdfIE+2Js52zsfxJ+EniU84fhLnhIWJTzl+Gn8apomKixJ/5vG54UaR8S35dLt8Wv2X
										2dckLoqOSlyM8WFD9TPy9PiwMX0pvhuNFCUjRchkETKSl0zkJRN5ycT0Tf5+M27HVNyBu6JD03dj
										GqY7f5bXZmOO53Nxv+vM8/whx4fDzPQCPIKFYWn60TBfFVuYXuJ5C5biX8NYUTVWZVvIA5fwwCX6
										gqWq28L0M+En6WV41nnLvbYinJ/+mcc/x0qvr/U+vpVe77ovee1lvOK1V5FFm2u9ho1od/5m5+aw
										xd9+iV95fSvyrrsttIvcsarnQtF7keg9P/2G1/hgmg+mC+CH6RJ6wutpfpjmh+ky+GC6grcQ23c/
										Bj1+O2xK78WQx++Az6X5nKwwoZnfNfO75kTY1Jx0HOa1BjSiyfPhskcKfLA5HV5vbsZIjzN4n9ff
										j4NwsNdHhaIKX1Thi80fcL3DnHM4jsAHcSQ+5Nyj/f3DOMY9/shrMqxsNKH5hrBRhE9svi06tJmt
										m9m6ma2b78RduDssab4vzBf5S2SqsTLVWJlqrCywRLYa2zzPdR50nYdd8xHXX+j5o1iEx8LkWifx
										bVniJ7LCizqJThnh5zLBr0T8VJH9A5HdImqXitrV6u0uEftTEdstKjeLxrWi8ClRuFHUfVZkXSKS
										HhExd4qYn4iY7aLkTlHysihYyfvnHfiO07O8/9naf9P+ftgQ/ZN8tchKFqlY6+ufVKOXhZflrUfk
										rUesqpo9/132XCN7rlG5Fh+o4avVwJLVdqteq1Wv1fLXYit/Xp4qWHm2WsGsuijfdMs33Va+Tb7O
										W/mgnJ2Xs/MHKtxjcsFiuWCxVe62yiuq39JQvdan/1GPe0lYrYKtVsHWq2Cr3+0RrvT8qvDIgV5h
										kfhcJD4XqWDr0+aO9C24E3eFNbL6Gll9Ta13uM/fZ2KO53Nxv2s84LoPOa4Ii/n9Yn6+mE8X1JO8
										epLntwU1Jc9XCweq12J+uZhfLuaLBb7Wzde6+Vo33yrwrQK/6uZX3bXqdqxO8rcVbjWfWqTCrVc5
										1vCPxfyjwD+6o4mqxDpVYh1/WMUXHqV0RXVYxxe+IJu3y+bVLP48VfNU3UjVjXziaZm7k7JtMnU7
										Zdso28Y34lqGPjRsko03ycab+MjpfGSvLLtFlt1yoF9rk1lXyKwrZNYVfGaDbPqaLLpe5twkI66T
										EddRvUL1CrUrMuA6GXCdDLhOBlwnA66jbEXWWyfrrZPp1slo62WxLbLYFllsvSy2QhZbIYOtl8Fe
										k8Fek61ek622yE5bZKctstMW2WmF7LRCdlohO70mK22RlbbISitkpRWy0RbZaL1stIl12mSWdpml
										nZXaWKhNdumUXTplkE7Zol22qGaGdpmhXWZoZ6mNLLWRpTbKCp0yQDtLbWSpjSK/naXaRP46Eb9O
										xK8T8etE/DoRv07ErxDtK0T7FtG+RbRvEe0rRPsW0V6N8o2ivF2Ut4vydlHebg4u6YyrPfWZYSg6
										S5TtElHfEFGzRNQsEfUCOy8UNXvYdRG7LmLXRaKlyK597NrCpi1s2iIidomCXWyxkC0WioBqp7yQ
										x+/i5bN4+SxePostFvLyXby82inP4uWzePMeerXQqYU376FVC636aNXHq/fQq48n76HPIvosos8i
										+vTx5j28eQ+NFtFoEX1aeO8u3juL5+6x50X2uCbcymN328GTng1Y++7wEN/MRUfYWcWzLXbWaWed
										dlawq5fkgaKdvWRnL1lddTp7yepesrqK1b1kVRUrqlhRpxV1WlGn1VSspmI1nVbTaTUvWUXFKjqj
										o91poDaXDLrbHgzpEt/RJ0e17iV2t3Z3q1arAXer+ky7uw24W7UqDdBiwF0HaDHgzgPuvMWdt7jz
										FloMuPuAuw+4+xZ33+Lu7e4+4O5bzAjbwgN2vsGuN7hz7I4FuezHMu5mGXeznPagjPty1OCswQPz
										U3zgG0snJ8ZGo6MTRHlRlBed0emM7t9N187stJNBO8mK8qpuWTvJ2kVWBBRFQNFusnaStZNBOxm0
										i0ERUBQBRRFQFAFFEVD8vcn3A875kNd+NwGP9vjYkOXNxeq0y5uLvLnIm4u8uViz7a+s7O2abYd5
										1l/7TGUvhmSShuq3kXRVZ+uqztar5+yhHHb6W1mu3yl37pQ7u+XObrmzmht3yos75cFuV9tW85tN
										tSslagrG0XGuscxflrNur2u1OuOtd3XRQ9Cklx699Oh1j9YD/8byalbupU8vXXpZuZc2vazbaw2t
										1rDMGpZZwzKW7v09TT7o+ZH4nSbHOP9Yz49zfND5D9c+MylHdXYfRx+wvt4DdW6rNW2tRq417bD6
										X1vXDuvaYR07rGOHNexw71737nXv6n23uu9W993qflvdb6t77XCf6j22Rse6+mN232rnK95TA6qz
										fqs79dVyfqr2L3XuO+BpW2ud7fflxwO50Y5XuOtj7vqYuz72H+bFah48xnnVHHicYzWfPejcP8xn
										w63mp1awrfZpQ0Pte7GXuvMGd95w4HtC66LTrTvnzDWsljW1FKx/PZVWUamVStW1/xuPrir1DFtX
										u4I+aj1DrWfsZ72rLnC1VlbM6iyrlfgZCj7DklUvf4aXF3l5kUWz9reetxftMWePOXvMsWpWh1jQ
										IRZ0g9UK3UrpVkq38voiK2dZOUv1Vqq32vt6yj9j7+vtO8fKWRZojT5I9Taqt9nzi3ZQse9fWHVV
										+TYr7rPiPqvro3Ybtdusss8K+6jcRuU2KrdRuY3KbVRuo3CbO/VRuI26bdRto24bddvE1+5wL202
										0qOHh6kI4ukUNfus8HaU0Cu9Wvt07aywLTrGs921Ty1Hy3HH4rTQr473q+P9zhhUw3t1VJUDnzL2
										qsO96nC/Otx/4FPG3tqnjCvkvd9+0tiv9varvf3v+aSxX93t1xUNqLu9OqMBdbBfHexX+/qj4TqN
										PVbygM4irn2Ce2YouWv1GwmPs+DjtU9tm/QicWKUNZ9c+3zwjdrnFWd595ejv5T/joqSrvFG7Rqn
										hH3Vz13tlv2cv8O526kwyo7OCntqeqz0qC86xKP4Dz5p7EtcpPO9OGy34z477nvPJ4N9/8kng33v
										neCjD7tT9dPgnXTtpmv3H3wiXHKXnTTd6Q473WHnez653ekuO2m6k6bdNN35B5/e7qTpznc/vc07
										p8vzHTLhez6Rjerseld0bKK5ZvFH9XADergBPdyANT1rTc9Sao8+rqKPqzi7v/ZZ32f8/dzat/yW
										UX6ZPPxhebj676mLerGKXqxiXc/quSp6roqeq6LnquixKnqsivU8q7+q6K0GrOlZfU5Fn1PR51T0
										OJWo0WqeduddtU8YqxY8152/HFa72+potL9up9s2a9xqjVudWf1E/U369dCvh3499Oui357q51Q0
										3EbDPTTcQ8MeGvbQcBsN99Bwm7VupeE2GvbQsIeGPTTcRsNtNOyhYY81b6XhHuvdSsMeGvbQsCc6
										lGqdVOukWiel8pTKW/dW685RqpMieYrkqZGnRp4aeWrkqZGnRp4SeUp0UiFPhTwV8lTIR0fYZ8ke
										S/ZYqqlxiiufpiKfjjPwJ+LlKXnq3/CMx8uwIpT0u/32krWXrL1k9bf99pG1j6x9lOyhZA9Ze8ja
										Q7b2Hc7qvzY+PJobjZMJLsG38IPweHRNuCe6FtdhEq7HG+HRqBu/Rr9z9obp0RD24Td4J0yvOyG0
										152Ik/BR/DFOxsdwCk7FaTgdZ+BMnIWz8XH8CT6BT+IcfAqfxp/iM/gznIs/x1/gf+Av8VcYg7/G
										Z/E3OA+fw/n4PL6A8dFRdb8IL9atDmvrnsMarMXzeAHr8SJewsthbfLhcE9yPhbgVc+z2AB7Te5H
										CNOHvS8sGnZQeHTYqNA+7BAcig/gMByOrnDPsLJzduKtcE/DiTgbl4VFDf+Cy3EFJobHG64E3Rum
										h/aGtrC2YTC0Nx4X1jYejxNwIk7HGfgULgqPNn4VF4fpjXOwEF2eb8cOsFljT3i88U1U/G2X54Nh
										elN9aG9KQH1vGoYG6F+b9K9N6neT+t00Amk0YyQyUNOb1PQmNb3pYHwirG36JL7u8bccb3R8zPFx
										7A7tw11r+MFhbfS16CAedzBG4RAcig/geJyAE3ESPorz8Dmcj8/jC7gAF+KL+BK+gr/HuLCU5y7l
										uUt57h3RBDPCRFyJH+IqXBOe4M1P8OYnePMTvPmJ5B0hm7wTd0FUJKdhOu7BDNyL+zATIiY5Gw97
										33wsCE+w+tJhm0N2mOgalkcnurxecCyi7O878ZbX3gnZhgboqxuGI4XDcDg+guNAhwY68I4nGs50
										PNvxHMcx+BouxtfxDVwWlvKcpTxnKc9ZynPu4Dl3NNhvg/3yoCearqhqE83QU92L+zATszAb+q2o
										2m89jsVYgpfwMl7Bq8hiA9rwGjaiHZvwOnJ4IyyTE5bJCcvkhPbIzBPtAttHfDcy+8gTq+SJVfLE
										KnlilTyxKlkK7ckevIlelGFmSvZBH5rUhyb1l0nXTLpm0jWT1fftRwirxNuyRrmgUew3ivVGsd4o
										zhvFeePf4su4yDlfxcVhVeN3PJ+AifghrsJ1uBW3Qbw10qiRRo00aqSReFrV+GPHhY5POq4AHRrp
										0EiHRjqItWVibZlYWybWlom1drHW3mhPjfYk5laJuWWN9BB3q+o+FiV1I8PQgEY0YThSGIE0mlH9
										zelPRidH52BcmMfH5/HxeXx8Hh+fz8fn8/H5fHw+H58fXR0dxM+n8PMp/HwKP5/Cz6f8F35L6vSo
										FW+E2Sw6m0Vns2gLi65k0ZUsupJFV7Loyujt6P2sOo1Vp7HqNFadxqrT/ru+F19/anR4/WnRyfVn
										On4Gfx3m1X82zK4/DxdGh9WPD0vqLw03138Hl4Wb9WyXJ74abte3XZ74uuMEk8xEdbotyiRei0Yl
										2vG6KtsRHZV4I6xKdHv+6+iERKH2qw6jE2869kaZ5IToqOREXIkf4ipcjWtwLa7DJFyPG2q/ozVF
										vpgiX0z5r/6OFm+fxtun8fZpcs282nfyDwqz5Zgpw3qjg+SXefLLPPllyrB90VENCfCthoNwMEbj
										xDCl4STH03BGdLKcMqXh4x5fFubJH/Pkj3nyxzz5Y578MU/+mC9/zG/gSw3XgC+9+13/9rDjf/ve
										fvW7+J8PK0XabJE2W6RNe/d3uH73G1zV396a4/Xf/v7W6aJpWu03uLqcvx07wOdETovIaRE5K0XO
										ysad0fsb+1Bx/i5/538iaFr1d7r+n31H/72/9fWe79pXv0efGhtmp+wrNSncnLoB4iYlblLiJiVu
										UuImJW5Sd2MapuMe2G/qXtyHmZiF2ZiDubgfP8I8PIAH8RDok5qPBfgxHsHC6PAR10aHjbgOk3A9
										bsCNuAk3YzKm4BbcittwO6biDtyJu3A3pmE67sG9uA8zMQuzMQdzcX90WPqj0eEjh0eHjUxhRHSY
										bnGDKHij9ismG2q/fHJU/Q9ls4xslpHNMrJZpvZ/TBiO6v9TawTSaMZIHKS7PRijcAgOxQdwPHTQ
										OoC8DiCvA8jLfKNlvtE6gaJOoKgTKOoEijqBok6gqBMo6gSKOoGiTqCoEyjKkhNkyQmy5ITo2yat
										8bgU38Fl+Bdcjiuq/1Yd38P38YNw9X+YUa8JY2TTMbLpGNl0jGw6RjZNyaYp2TQlm6Zk05RsmpJN
										U7JpSjZNyaYpdbeg7hbU3YK6W1B3C+puQd0tqLsFdbeg7hbU3YLMO1rmHa3+xupvrP7G6m+s/sbq
										b6z+xupvrP7G6m+s/sbqb6z+xrL1DNl6hmw9IyqGclRCD95EL8rYiT5U8BZi9IenZfblMvtymX25
										zL5cZl8uq0+W1SfL6pNl9cmy+mQ9fU5Pn9PT5/T0OT19Tk+f09Pn9PQ5PX1OT5/T0+f09Dk9fU5P
										n9PT5/T0OT19Tk+f09Pn9PQ5PX1OT5/T0+f09Dk9fU5Pn9PT5/T0OT19Tk+f09Pn9PQ5PX1OT5/T
										0+f09Dk9fU5Pn9PT5/T0uboLosPrLsQX8SX8LX4UsipRViXKqkRZlSirEmVVoqxKlFWJsipRViXK
										qkRZlSirEmVVoqxKlFWJsipRViXKqkRZlSirEmVVoqxKlFWJsipR1izRapZYZZZYZZZYZZZYZZZY
										ZZZoNUu0miVazRKtZonWuleiVN2ryGJDlFLFMqrYSFUsU2/eUcky9WYa1Wy5ajZONRtXq2ZfDeX6
										cRgf5ry3qtX/S+3XXcaobJeqbGNUtuqvJD2Z+EF4LLFCFVsZNSdWh9sSG8JTqlxGlUupckVVLpXY
										HHaodC0HfrvoqNrvXL7p9d5omCqXUeUyqlxGlcuochlVLqPKZVS5jCqXUeUyqlxGlcvopIs66aJO
										uqiTLuqkizrpok66qJMu6qSLOumiTrqoky7qpIvJOSFOzsX9+BHm4QE8iIfwcBijco5ROceYu1rN
										Xa3mrlZVNKWKplTRlCqaUkVTqmhKFU2poilVNKWKplTRlCqa0mfG+sxYnxnrM2N9ZqzPjPWZsT4z
										1mfG+sxYnxnrM2N9ZpzcHcrJQezB29iLIezDbyAmVObJKvNklXmCypxVmWeY/3Lmv5z5L2f+y5n/
										cua/nCkhb0rImxKKpoS8Cj5mWHeITQp5k0JeJZ+gkk8YZk3DrElFH6OiZ0wN+WH7PQ8hbohQh3ok
										ooxKnzFR5E0UeRNF3kSRV/kzKn/GZJE3WeQbjnTuhzDaax/x/DjItaaMvM5gjM4g03Cqv5/meEY0
										2tSR1yGM0SFkTB55k0fe5JE3eeRNHnmTR17nMEHnMEHnMEHnMKFBHm2QRxvk0YYfYAImhqt1E1e/
										203IoebZnE4iq5PINjwUpRqejA5veArPePxTx+cd20KrLiPbwJbm3lxD9Rc5PxSyOo6sjiOr48ia
										hVvNwq1m4VVm4VU6kKx5eJV5uLXxnChlJm41F8TmgthcEJsLYnNBQZey3FwQmwti3coM3cqMxn8I
										5cav4eIw2XwQN17msZhqvBxX4Lv4nmt+H/ZldiiYHWKzQ2x2iHU4KR1OygwRmyHixjucf2ftlw1j
										XU/KPBGbJ2LzRGyeiHVBk3VBKV3QaHNFrBOarBNKmS1is0VstojNFrHZIjZbxDqkGTqkGTqkGTqk
										GY3drv1rFCDXN8r1uqandU1P65qW65qW65Ym65Zm6JaW65Ym65ZSZv2cWT9n1s+Z9XNm/ZxZP2fW
										z5n1c2b9nFk/Z9bPmfVzZv2cWT9n1s+Z9XNm/ZxZP6fryuq6srqurK4rq+vK6rqyuq6sriur68rq
										urK6rqyuK6vryuq6srqurK4rq+vK6rqyTadb0xn4RGht+iS+7trf9HwcLsG3vPbPjt/GeFyKK0JR
										h5bVoWV1aNmmG71nutcfc+7jYVXTYo+XYHfIDY+iw3Vw2eH2Nvzg0Dr8kCiV+lJoT5kLU1/B2DBO
										Zzcu9Q8eXxXKqatxLX7X6d3k8S24Lcro+DI6voyOL6Pjy+j4Mjq+jI4vo+PL6PgyOr6Mji+j48vo
										+DI6voyOL6Pjy+j4Mjq+jI4vo+PL6PgyOr6Mji+j48vo+DI6voyOL6Pjy+j4Mv8fO77M73V8h0TT
										wl/VXRxdVPcN/GN0Vd0/Rf9Y983ogrpx0bj6v47+vH589KnEl8NXEmPDhYnW0JpYGcYldoR2veGo
										RHftN14XJEohm+gxS71p3uoNg9HR0bT9pagldEdrQ7erf/rAL9Je4Ornuvq5B35JdrD6W9Hucri7
										pNzl0+4yxl3uSfwsvJT4OVaGVOIXjqvDG4nnXH1NeNjdF7jzvsSva3f/grs/4O4pd1/m7u1RUyLr
										jDZrMsknNlp7e3gxsclrHSriZmekre1la3vZmd9QO7POXuDs2519iLNbnP0VdXSVd1zvHZOjY6q/
										L2m181XzP1a9x9efr5KPD3fVX179t53RMfVrwsT6F8KC+m3ROfW7zaOj9M+nhGcTP1N9V0an2sF6
										d2o1j6YSG2uzaFaVzrj6PjvqUqlvP1CpUwdm0pSdxYkeu6r90mCo1P1dlAyLomFoQCOaMByp6rez
										kUYzRiJjsn8fPhmy0TmYHKZGU3ALbsVtuB1TcQfuxF2YFn4RLQ/PRK3hmbp6/U8CSQxDAxrRhOFI
										YQSa8T6ok3UH4WDIJXVySZ1cUieX1MkldXJJndxRJ3fUyR11cked3FEnd9TJHXVyR91xOB4XhPa6
										C/FFiO06sV03CdfjBtyIm3AzJmMKbsGtuA23457wYt0M3Iv7MBOzMBtzwov1p4ap9WfiM7iQ9aaG
										bP0dLLMyfJFVyvxskI89xRLl3/7mo+eD+59L7AmjEm/vzyf27m9PDO1fkti3P5f4zf7liXfCiMR+
										r4f95eSw/c8lG8KoZOP+fLJpf3ty+P4lydT+XHLE/uXJdBiRbPb6SOdNCIuSE3ElfoircDWuwbW4
										DpNwPW6A3japt03qbZN626TeNqm3Teptk3rbpN42qbdN6m2Tetuk3japt03qbZN626TeNqm3Tept
										k8vw76E9uRytWIGf4edYiVX4BVbjOazBWmwMU5Pt2ITX0YHNyGELfolfYSvyYeqwfWFRQwL8t2FY
										aGk4yPFgjMZJOA1n6As+7nhXaG+Yjbme22fDox7bT4P9NNhPg/00POm1p/A0foKfYrnXW7ECP4O1
										N1h7w0sev4xXPH4VWWxABzaHFxt+6W9F9CJGPwawC7uxJ7Q3jkQG78P7cVh4sfFwHIEP4kicqU/5
										OL4XpjZ+HzfiJszAw1gQnmlscdwTpjYdH9qbPqrGfczxVMfP4wse/314semb/j4Ol4A/Ns31+v34
										EeahBfvCi8Oj0D78/Y7ia7i4Gq5GD1efU9/EpbgMl+O7mADxnhLvKfGeEu8p8Z4S76m7MQ3TcQ+s
										N3Uv7sNMzMJszMFc3I8fYR4ewIN4CPaYmo8F+DEewcIwdcTfhOyI8/A5nA97HfEFXIALcW1YMOI6
										TML1uAE34ibcjMmYgltwK27D7ZiKO3An7sLdmIbpuAf34j7MxCzMxhzMxf1hQfqjYerI4WHByBRG
										hAVRUvZ/SuYvJl5XyzarY7Oia+TPa3EdJuF67JVLh7APv8E7ctUJITY/x+bn2Pwcm59j83Nsfo7N
										z7H5OTY/x+bn2Pwcm59j83Nsfo7Nz7H5OTY/x+bn2Pwcm59j83Nsfo7Nz7H5OTY/x+bn2Pwcm59j
										83Nsfo7Nz7H5OTY/x+bn2Pwcm59j83Nsfo7Nz3H198Dq1oW8mbVsZi2bWctm1rKZtWwOfdQc+qi5
										M2/uzJs78/ULww4VbZFKVqofDDvr94SdtW82rTZ3blCN2kJeBVtkhmsxw7WY4VrMcGUzXNkMV52f
										suanrPkpa2aKzUyxmSk2M8VmptjMFJuRWsxBLeaUFjNJixmixQwRmxGqvyAamwPK5oBy40kh3/jR
										2q+BVn8JtNrLZ/XZWb11Vi+c1QNn9b+x/jfW/8b631j/G+t/Y/1vrP+N9b+x/jfW/8b631j/G+t/
										Y/1vrP+N9b+x/jfWr5b1q2X9aqxHrf5CZ14fGutBy/rOWL8Z6zfLw0eFvB7zUT3mo3rKvJ4yn54U
										dqSvxw1hR/OosLP5EByKo/Fh3OT1R2r/uqk7LFLX9ZiJ1uiMxIrom4lV0bGJX0RH0PeVxHPRIYk1
										0fGJbHQerc+rzfUbo3PN9pnEpuh0upern2Lrc3Z49Y3oZP3CebXPsKvfZ+jRtfz2s+zT3Wl1WO78
										5bV7PuVv10cJ9zvBa+3VM6MRdRdEqboL8UV8CX+L8dHppreU6a06uaVMaanh1f/ratJ6jhIdn6r9
										JrJ6aA2/feUo1bLo1RP+J3VfAl5FkbV9qqq7qnNv902AQBKWsG8qKhF1BHGXmXEZx3EZBxRRQVxw
										cNhEBFFHBBRlUQEFFQV1FEVHRRQE9EMRXFhlEQlLIoRgWAIkLIHU91bdJoQlQALyf3/fp7qrq0+d
										Ol116q061d3nYrSciNFysZ0PwhpHydmYCeXSpXZN0dBmQAbzfwjrIXHcf7L1Km3mROa5ifU/d4te
										KHqgbr6CDrWmROS9RS/C2UpQT8dc8EtdgLMsnHVBvi/1bpwtosbkgLuLIBEUgoeQgBBBiCL4CAFC
										DCXeRJVEW/2taI/QBbU4TS8Fp9XgtMDpQRlOT4ReCA8h9EZ4GKEPwiMIfRH6ITyK0J8yYMtnwGbP
										gM2eARs9AzZ6BmzyDNjfGbC9M2BvQxYr61TM6aahrqbrtWImetGX+meUOA2z28249x50OnSiEq7m
										G13AvSdTZbaAarGF1DB8L62TaAuquKfm042nZtHFftP1veiF+e1IaipGIUzVuWjpepjJfORcQKc5
										LakhaqsdxZAjhnLOQmv2QAtM15tR0ve2pAAl/IYS5olbUf5tmIF2wPEOHHuglAV6JebIeZgf77X6
										s5Rc5IqQNP/GAuo0UKaBMg2U+aAooGqUDRTFHIrWxb332RJ74QicQKu7QNzl4LcDqFuAHPmGp5kR
										u5V1IWz4QtjwhbCRC2EjF8JGLoSNXAjbtxBl3oR7vQVceqDl5iGX4WZWTFMOKvNW8O+A8AAxW/Z8
										1PwCpC9EeYtQz4uhOUswM19K0eMqNxqWmwVuibiLInDMAsc8cMwHRxmuvrl2/IiBOl/cYuXIhByZ
										optt4/qQWAnjuTkuSyFyRiFLEXIbCyWfzqRsOp9+RViHsJsa0R6EIoS9CPuoETh3sNbSrehnt9FN
										ogOOd+D4ACyZbuDcS88SfdGSI6Hpo9BjMetBHTWwbbNIf2RL+0kvQ59LhpWzFzqSAR3JcMDbKUbQ
										1MitTOertgjtENpTIzUKYQLCGpyvRchCgJxqC9J24FgI2RIgWSEkagZpmuFek8PWweiKHmDaeBl0
										xmjaTMg/EzWTA+pk1E4OciQjRwaoEyDnJtTMdsiaD1l3mXq1ueZZ/UQbQZfro+8WQp/ri55AwixK
										ic/Xoa85aB3znVaunmX/yce0WSaoIkgpgBz7PcSFb8eI7tCRh9D/N0AfclH/MvRpn4M8wDbcwXqE
										XJ1JadQRknRCuBuhu/0Hg0LIMw+yzAN1sqXORonWisO1XCCiXXfFuNia0t0knePmIWzSObILwgMI
										/0ToitAToRf4xsL/RTCeODPBOVN0xx31xJ1mod2y9Ubc6e74neqdkLoIpcy1tncK5MuHfPmQL7+k
										l7QFp/YI3SFbT7RLFnJmQ3ZjR8etTXN3a8x/IEG+fMiXD/nyIV8+5MuHfPnSPFNpRrDcqRPC3Qh9
										cP4IQl+EfgiPgnP8X5OaAqNioR96gziXAqNGoZYno5a/hl5OhV5eCL1sI96FvmZBsmzcm5UG41QO
										2myDzoROng+dPN9prZc7r1EzZxzC69TMTaI27hoc83DchLCVmsmm5tknQhdqIx9A+CdCVwQjnxe2
										kdEZN9QZ17bVeqsR+Xb1YSLkfiukSgup0iB3PigzrGym/aXoUvy22KW3wNbLdJTeAlsu02lSPAcy
										dyleg9RCpBQ6TfQZ4NqleJkoREsVIfdecNqnsxxX73YiusjBfASUWaBsbvNOwtXlSFkObgU27zyx
										Bzhh8u6DNmjkSSBl8/qwwWI4NtHpVBmUc1BKEazSfEiWJ8xb4UUoda/eg5wLkbMQpRbBGs2HxHkO
										ZkXgshsS7AGnheAEeYvXoqW6wI6NcykAlyJwKTYy27LjuQuQuwi5i63scRlcqoacXSBDltiJOtuF
										427UH2bJ4Z0vF/vQp4v1OnDaDVmyHElp4JYFboVOAkb5eI3g/inBCfQ6cN4NmZ41o2ZxFjiaOsgR
										xRhzlL3/HCdAvIkmS/GBbZE9lireKgmWyrTMItTuIe2F+UTYTsh9jPaxtLZdQHuM9qCkE20H8stb
										/9Dik1zv0PEy6tteOWI9U8xJJs+pCq6pFHGqI9RAnprIXwtxzFad2rhWD/EGCA1xrRGuNTazSqca
										eNTA1To4NjR14CTjDDaDkwKa6vZqvuWVjvTaiNdFvIGlzjd8SFrqVFtqgaWoZ0spoMqQy8XVPKca
										UlIQUikd8iWCMg880yEf+CLUxnkdXK+LUA/pDUDTEGmNEG+MMmLgkgNZzR26ThpKr04i5GJy50B+
										c4euUx/XGuBaPLdLSZAhgtyb7J2mgm91UNVA7dVEerz8CDhssjVQD9cbIK0hrjdCuikbdwH+VXG1
										mt7qpJh7hcZZGdCWNVFuLaSlg6Y20uqApq6pA9BYWUDTCDSNgXSmnRJtvaZScthORZAjGXLEIEei
										rdt6OI+3UxFkSIYMMdMqtvbcMNeOg6Q39x3PsaNE6sSK6gR67U+IHaIX6O21KSivbiBXffTSMvQD
										VzlVOVk6Am5VkVJBPUFunyqdqK6ASzVzRydHX9ASE2w7Vkhn7B0F5dUblLkLs9nC4oXAwmZAHAeo
										1lzsKZ4BVKsh9hbPAvpcIIqLi4BqSY5bvBDY2Axo5ADVmjsJxTOAajWcaPEsINMFTlBcBFRDHyz+
										GTVSHTUSoEYCJ7V4DmqkqlO9eD2kaoBacVAr3EkHXW3Q1QFNXYR6oKsPugagawi6RqBrDK1JgKWW
										CBurjTD/IjTLzuqTMctNx6wiw6zbY7aXZv/JaCprT61YB2rD7qBn2J043oVc5n+HbtbfiL9jNnSL
										Hmv/Ha/pUai+sVT7/3FpbMnZhyVnnAWwgJsRUUu6mE6DzX0pnU1X0w3UnG6mvyP1H5i3XUj30BC6
										ip6jd6krTaUZOPsSv+H0HS2lEbQcNsdrlMMS6X1Wg9WgpSydNaNl7Bp2LVKvYzdSLmvLbqUt7HZ2
										O21jd7COtJ11Yf+knawnG0172Mv4pbOx+NVmr+JXh73D3mV12ZdsPqvPz+YZ7Bzegp/PzuMteUvW
										kl/EL2at+OX8Ctaat+Ft2MX8T/xqdgm/ll/LruDX8xvYlfxmfgv7E2/H27Gr+e38dnYN78g7sWt5
										Z96ZXcfv5f9kf+XdeC92M+/NB7J2fDB/lt3Ph/KR7EE+mr/EevMJ/L+sD/+Yf8MG8W/5UjaGL+fZ
										bCLfwH9jU/gWvpVN49v4Tjad7+ZFbBbXgthswYVgc4QSAftOJIrKbKFIFslsiagmqrOloq6ox34R
										DURDlikai6ZstThDNGNZ4ixxFvtVNBcZbJ1oIc5jOaKlaMU2itbiIpYnLhGXsM3iMnEZ2yKuEFew
										reJacR3LFzeKW9gO0VbcxXaLLuIBFN1NPMRd0Vf05VHxqHiU+2KkGMUDMUlM4oniE/EJTxJTxBRe
										SXwuZvHKYp5YxmuJLPEbbywKhebNHdeJ8VZOstOEX+m0dlrztk4PZyBv5zztTOZdnc+cGXyM86Mz
										n7/hLHLW8TedDY7mn7sRN8IXur7r80VukluZL3YXuz/zpe5Kdw3PdLPdbJ7lrnfX82x3g5vLf3V/
										c7fy9e42dxvPcwvcnXyTu9vdzbe6RW4Rz3f3SZdvk0rGeJFMkklCyMqyqnBkqkwXnqwrzxGJ8lx5
										rqgnz5d/FPXldfIm0ULeJp8QreST8ilxhxwsnxEd5VA5VHSWw+UIcY98Ub4o7pOj5Fhxvxwnx4l/
										yfFyvOgm35Rviu5yovxY9JCfyi9EPzlT/o94Us6Ws8UgOVcuEIPlYrlEDJfL5HLxglwhV4iRcpVc
										LUbJHLlRvCTz5V7xiiLFxTtKqTriPdVItRCzVUvVWixRl6hLxM/qcvVHsUJdpf4iVqvr1fXiV3Wj
										ulGsUzerv4v1qq26XWxQd6mOYrO6V90rtqr7VW+Rr/qoR4VWj6nHHUc9pZ5xpBqqRju+elm97FRT
										Y9VYJ0W9ql5zUtV4NcGpriaqaU5NNUvNdZqphWqb00LtAMjd7DXyGjl3ek2805y7vDO9s5y7vRZe
										C+ce7wKvpXOvd6HX2rnf+5N3lfOAd413jfOg9xfvOudf3g3eTU537x/eP5xe3l1eZ+chr6v3L6ev
										18fr4/T3+nn9nMe8x7wnnMe9gd5g50nvGW+IM9Ab6g11BnsjvBHO095Ib4zzjPe29x9nuDfRm+g8
										703yJjkveNu87c6LXoFX4Izydnm7nNEJADPnpQQnwXHGJKgE5YxNwOa8kpCYkOS8mlAloaozLiEt
										Ic0Zn1AjoaYzISE9Id15K3JDpK3zdqRDpIPzQaRjpKPzYeSeyL3OfyP3R+53Po48EPmn80nkwciD
										zqeRXpFezpRIn0gf57NI30h/5/PIwMh7zvTIl5E5TnZkSWSlkxdZFVnn7IjsjlZ39kbrR4e56dER
										0dfdIdFPozPcsdH50W3um77yU925/un+le4v/i3+PW6hf7//oFR+N7+HDPxefm+Z5Pfx+8gqfl9/
										gEz2B/nPyXR/mD9MNvRH+C/IRv5If5xs6r/hvyFb+BP89+S5/gf+J/Iif4o/TV7hT/enyz/7M/2Z
										8ir/K3+OvNr/wV8kb/B/8n+Sbf2l/nLZzl/hr5bt/bX+VtnR3+7vkj38Pf5e2ccvDkj2C3jA5WOB
										E0j5eJAQBPLJICmoJgcHqUGqHBZUD2rK4UF60EC+EDQKGskxQf+gvxwbPB4MkK8Eg4Jn5RvB8OB5
										+Z/gxWCknBi8FLwk3w/GBGPkpOCV4HX5QTA+eFt+EuOxmPw8VjmWImfHasRqyR9iO2N75HziCU9g
										RKHo1KQvqDHVppOy6VV6NTWDZUV64RGvF+nn9CT8CnVvnN2uO+n39GTEsuzVLJ2D/dqQtvCw3OZq
										js7H78C15MOotiA8eUxJByH8t9T5cnCvakooc4voPUY6vR1x847sH6kRzjNLOGwoiWUdobyFeqXO
										1d/jl6W3YrZ+olsKeI6znLN1np67v3Sdd1jJebbW8nQmav8OqoEaa2okD68WHasgXaA36216g15X
										klQFqZvttU/Qeon6U8R+PWJeUOlNKL1Q55KptXSqT5fEpceVpXoptGW1iZVR9qt6rLlL3RPhL/oy
										/bgeiNjqkuu/lb7LQ/IWoa5Xoeyv9De4+3y0lBte+fkQytnHrIMdFGqaHmb3+XoLuIdaWKpm9tMX
										oMa26V16CeiusnfbCjUfSqk36o3Y54a0uw7LvQV1tt7oSNgvCqm6PS4u+27LkDvzoLP7S8W/OD4O
										2M48UCJabDG5eskxSjU9cGN4chq1OCrtW/ploydGh8q/6XXmDqFdKw+7svaYebci/NvG3ju0BQ06
										HSN3NsJUi0grDvT8492g1QV2v/gIFxOPi8M2hDXlLTfM+2V4nFyBvK/Y/Wxz/yd5a3nMsjfE21Xv
										BpZuLif3o9fq+Qg32TLWxvfxX3j1SKNjU/xq49f0IAnfsvv58d9Rcjc/Yu71dr9J7wB27ShLVFwz
										qLZR/2L6ockTx/D4mAe0+1p/p78tM3epUVUPprpA5GvpOsTfsSmLMU59oZeXmbvUuKVHYBxIoyth
										eaIH2ZRf0Be+PoDOZZVtRlDokcndAlZrmK4/11MwxpaJSwewPtwSUX9tkf6wvTpdf6a/1DNC2k2H
										5S41sqOmEu04ZEaVa2zK1yh9qp5aZtllzAuKzYzge/0Pfb2+X98U0h6GZHow6nWO/lGvPghnOLWn
										f8NCJ9jrQ81XJ/Qe+TSJplATmgbbPcPa7ufRLNju59PPsN2vhpXO6BbWgXWg7rCe/0Y9jN1MvYzF
										TA/x+/gD9DBs3+XUj//CV9GjPItn0xOwgzfQk3wj/40GGGuYBvJCvpMG8yJeRM8Ya5iGGGuYnoM1
										HKVhwvgkelHcKm6jkaKDuINGO586n9LLsCM1jXEru5VprpwsJ9N3crqcQd/LX+RK+lFqqWm+sZ9o
										gbGfaIn6q7qeVhj7iVYa+4kyjf1Eq439ROuM/UQ5xn6iDcZ+okJjP1GRsZ9oH+yn4Uyo59VoJo0V
										xXxjRbHAWFEsZqwolmSsKFbZWFGsvrGi2GnGimLXeMJz2S2e50VYO8/3Yqy9V8mrwu7wqnoprKNX
										3avJOnvpXh12n1ffa8ge8C7yLmYPwnLqxLrBQhrEesJCeoY9ZGwg1tvYIuxhY4uwPtFHosPYo8bC
										YC/4SX4q+8x/z3+PfeVn+1vZ/5g5Pltg5vhsqZnjs5/NHJ+tNHN8lmnm+GyNmeOzdWaOz/LMHJ9t
										MnN8ttXM8dlOM39nu8z8ne0283dWHEuIRbmIVY2lcBnbFdvDE6A3S6zeMKs3HHozEjP5UfQy5jdj
										aAJS3sRP0Vv0Lnk0EVolrVZJaNUXlEDToVsRq1sR6NZcpH9HP1EUXJcg71L8AmjbSopRJmWhj2VD
										8+pQDuWj12zDry5tp51Uj3bhV5920z5qQMXQy0pWL2tavRRWL32rlz70sgsl8Qegnb7VzsrQzkyq
										xldBR6tAR7MohWdDU2tYTa1uNTXFampVq6lpVlOrcM01VREEfU2GvnLssVFVaK1CHM1OqSIBGpxs
										Nbg6NPhWaihugx43gh53QPwOaHMjq801oc2ZxJxVzjriznonh6SzwdlMUWeLs4NqOQVOISU6O529
										lO7sg943sHpfx+p9Tav3Na3e17R6XxN6fzklqyvUFRRVV6oryVFt0BNc9ISrkHK1uhop16hrSKlr
										1bXkqb+gh9RDD/kr8l6PfpJg+0kU/eRmCtTf0Vti6C3tqI66Vd1Giaq9ak8N1O3oP5Vs/6lk+w9D
										/7kfubqoB0HzL9UNKd1Vd+Kqh+qJUnqpXuD8EPpYFH3sEeTqq/oivZ/qB/pH0esC2+sYet1A0AxS
										g1Hu0+iBieiBQ5EyTA1DruFqOGieVyORMkqNgiSj1WikoGdSxPRMMj3zVeR6Tb2G9PFqPPhMUBNA
										OVFNRMp7ahLyfqA+QD18qD5BzUxWn0POqWoq6mSamgapZqlvIO1sNRc8FyropFqioI1qmVoBbr+o
										1VRbrVHZqJNf1QaUlas2Ul31m8pDTW5Sm6m+2qK2oMStahtk3qF2gLJAFeBqoSpE+k61E5LsUrvB
										f4/aA85Fqgic96q9VEXtU/tQerEqRl6tNEUNjlBNgyPYA0ewB45gDxzBHjiCPXAEe+AI9sAR7IEj
										xIAjA7Ef5A0ibtCEHIMmxAyakA806Yt9v0h/SjKYQgKYspT86LLocgqiP0e3UZLBFxIGXygV+JJN
										Vfxf/V8p2V/nr6PAX++vp2p+jp+Dqxv8DZTi5/q5VMPf6G9CfLO/GfRb/C2g2epvBc12fzviO/wC
										SvML/ULQ7PR3gWaPvwdXi/y9FPWLfU0pAbo/VTHIhb0TONi7gaTKwK8IVQ2iQRQ0fhBQDWBZFaQk
										B9UozSAaVQOiVce+RlATNOlBbUoO6gR1wKFuUA/x+kF90DcIGiAOvEM68A4prwSvgv9rwTjkej14
										HZzHBxPA883gbapqEJAsAlKSQUBKAkq9HyLgMPxECQKORnwMsE9Y7HOBfO8hPok+w/5zmmoR8EvE
										/we4J+gbYJ8A9i0BVi6lZYgvx09Z7BMW+5It9lW12Jdgsa+axb4Ui32pFvvSLPZFWSJLJJ+1ZW2x
										78KAdKwr64Z9D9YD+6fZ08C+6/n1xC0yekDGjtgbZIxYZPQsMgYWDavwPG7+N8IgYCWLgJX5Pr6P
										Yhb7EoUjHKoE1PMQj4gIJYm2oi3VEO1EO6plUa+mRb100V60R/rt4nakGwSsaREwXdwp7qLqJQiY
										QwLYt4MUUG8vJVi8S7N4V9WsiqJ/XqYuI2FxTQHRrsbeYJmwWOZaLEtR16nrkGKwTKgb1A3Y36hu
										AqVBsaoWxRIsiqUBxTqgb9+p7sT+LnUXKDupTth3Vp2xN4imLKIlhIjWQ/VASk8gmmuxTKmH1cMW
										0fqA3iCaAqL1RzyOZU+ofyNuEE1ZRBMW0RLUEDUEuZ5VzyHFoJuy6BYN0W2EGkHCYpyyGJdm0U2o
										V4BrIsS1cWoc4q+r10mqN9QboDRIJyzSpZVCOmGRTgHppiJu0E2pL9RXiM9SC7A36KaAbisQN7iW
										bHGtqsW1BItr1SyupVhcS7W4lmZxLaq2q+3IZdCtqkW3FItuaSG67QWKCYtiUY95jEQcjyK9Iw+T
										F3kk8gj2/SL9KBLpD/SJRB6PPI6UAZEB5Fkk4tER0ZeIW0yp4m8CmiT6+T7w1CJIosWOKsCOnYjv
										8ndTDKhRjJ5sUCMpEIGgGPBCUWDxopLFiypAisqIG6SoHKQEKaAxGFElqBXUQnptYERlYERdcDAY
										UcliRKLFiCSLEZWAEa+A52vBa8g1PhgP+glAh0oWHTjxZreY1czmey58EhbJjWXN4/8vb3qbzjLB
										xvMPXrkpoSnU6466RlkWb7Miuwphrj1btT/NWC92dbDIrJDF14sgRf7BK5hl24Ph9UXh8e7yS3ay
										Nt1Oj7XHbcdFnaXnGWvveNfRyuSTd3DcrLOWrJVtg9WXpTNNbeplJVQHWi9cubZ1brwBpFOiobZp
										h619/65bJJSkdKmJdJFNW3No6+vNh693QXt+1HP1zoro5rE3vSA8ZoeavLXUte37pbdSHKE99coj
										96WTIlm5OetxepQ9FuoF0Iz5CJP0C3pR2O4l8tuVxQXQoTkV6u95VOopRPy5SamrQ/RW4EheWKMb
										jCSlMu/XhoLjKGcXHfFpx4luaMkD0u9AXW1GMKtGOw+i2nh4zv9rW8maV+7x6cqJItJReR9ptbls
										6tl6sv5af2hwCvH4yubicI0yt4Rq/QFsKwfvX8z6ZYh9G+0ToHwgiHkqMinOH+ezcPzWBMQPWs/U
										E8ngU8b+uwLqLgZKXUx19bL4kwCdrefZ43P7V/hObCv9dCv+9Ei/X3L+ir5PD9Yd9EzEby1JvUx3
										0Z/bkeaQWj8SSuEOpuqZ0PEy104rKPc2izSh9EYSW+OlR6380ivjesVRuc05udKVZwMahc/fdI9D
										rnytB5TES0YwaITBi18xsh71nsoozSCmaQtbN1Y/N4b1hL3uactR9nnwoSN1sn1LqzQvMwNYhTEr
										YjiFc4Pd4bX8Y9X5cch6AClLPQXbj43x+QgwPseWdZDm2f6Wc9j4nlfR50oV3eKz0lLnZc5+Sj/B
										LJU67eTKU4rzTeUgts959KDwmWIhevR684RQf6gnxp8UHjS+54da9qn+qAJyfYF5wZQwPgcYbZ/n
										mv5pdABzjKzwmUqhRdbl4ewijqLBIbxmWuyZbHF+ZvwZiP7uIIp95ZcwzLmISj1tD5FzkcWgmTYO
										LLS4+VVcC+JPJOO9I7xypb7Cnk3Xd6Mm70N4Qj+L48c29euDSvsYtd5D/60CcnbVYw124/7XItYO
										scdhIYzV72IMHKav1yOMxYBUYzN8oMfH+4zubDMn73+eGvJajN6OmT81sfG4lRXOvsxTPfv+iNGP
										CrwDYrWm5Ml2fCwO45kU2j4H7Dg6eG5W59D3Hn7/rfQc0jyT05vMqH/UHIfM70/NdtBzTftkXW86
										+kzM1vKptdKodH1Cf3bZeVTB0e0DizEVkLPs58/l4HFK60e/qp/Uz+leNp4Fa/Qt/VJ4JU//ZI+b
										gMSbDszcKlTKZfrVE5TzF9he88KVmF/1Uv1DqXfI7LwaFs98vb3k/YGKlXKMNZuj5s02c28cixF+
										wPw8HA3s+wbm3R474y/rna1TtwG1O2jj0zjVnj2E8+6wVKzlbGpAF+kperhuiTFkHjB8XMVaTo+2
										h/onJGm8XWeFZ6EVG18JoFLW1Ilv5XivqywOW20NGhzOxXz1sFbG9RXG6jvZtkp5N8ysciFF3B7d
										CD3dWuqaHWWgxz+gh313xOynbIOcE0u/uwJcmvX/TpojbbqTvtUgpLFnsH8O5x/qH208tPigB1P0
										X/UQMvbXmorp2KluB2jH7lNbYvm2/aivfzv8/dFycPld18DCGWUexqwtJ7bOV9G1A/N84jgpP7Bv
										Gx/6llh5t7onmP+4N4zxJ7DWp4efPEnKKCHEd735RFr+ZI5tZZaRqfec6jWL8m/6M2sznGh9ND4p
										wvxu24l+2YCRpgJPa+xacsnql31HeH/fipTdy+wcuT61JVWBEvMqgtqm9Q/Ya+Fa4PG9Pe7bd5T/
										f9jSKpLJrOFXINei0iOL+Y4D41Th7/MU8vfYMH/dcewRS++tAOfFFXlD3878cw8621+XCUfJZTQ4
										ja6Gjp7izVijJfFcawesPToC2fXwU7xuU1rKE+KzNgzfHHapafgtQXKp7w7Kw3k+6m3+/lJMzIb9
										30LsL6+VLekgeUqdDTzALQxvxY+lNvPNQ3Nz1FPj72uUU863kO+tMG5jdu17angP+yVofoicb5W/
										pJK8a478JeMxcv1c+s4Nh8OfvpS5VWilAa20/thUh+XKDfu7feZvnwftf58icpQvUMx9pNGlFenv
										ev2xVoCPmGtFGOJPNczq9mYKn24cJVd8tTTt4P6nl+sN9mvPplQTR/tsFKOPnXVYbfpH+eU7quxf
										2X2Jza/76A76dT3KPh0+0Gfa6Tfssejw9y6O8IVgvt70+6zm2zdC4s+qlmOOsxjW6XLMr0u+jLFP
										bMxK/iX6Znv+ne4Gqvv0HNzRFP1guK550DMtO4500n+pgDRdwPW6MG5j9rvhUXqy/lK/qG/XX1uN
										SLNPthftt6j0AyaNGpqnQ7q77mrTClHnq/U43Mtk/aF+J3yCc9Aalh0bhurnKyDnBD27ZDVvtn4d
										+3fD+Ui2/kg/j7StIWlCKcs/joANyl/eqd5OxRMZq1Xx9xUO0/dTUHpmhZ7H5VKpFZhQ+47NpxJC
										ZWpj4w0wr69P9cz9o2eZf/j5AzUBHmUh5KD35aDnXAOcSNTnWPpoSWn9dJswGn/y/HXJ95wq/vZL
										SPdZGbLHEW8U8N6OOLq/vl7/C2EA1dOtLEmI7/YL7Nb6Mt1Z34bYdBMg3zj9rp5r372Jl1aHGlEM
										R/ttOTR+4jHr4XCZPoyH8Gwq7qnUc4zw7ZoMzDRrk/kvvv3fkc8oRVOteJv29eX6V+DSTN0VPEbr
										53BfU/WzpWuF9n/P/UQcH8op58PQl/g3wi5iXfW9+lmrQ8vtG59BHPNLWUL2y/P4mwHHPQ84uMSN
										h3/TeBy58sO+ay1c++xmO0l7KfEo47vJkUYXov05fXMMv0NtQ79DT9CfGWdVqaP1KdTb+hQaZH0K
										Pc3asttoGLuX3UsvWG9CL7Ke7GkazYawUTTJ+BSiqcanEE0zPoXoC+NTiKazr9h8msnP5s1pHm/B
										z6MFxqcQLeYX84vpJ+NTiJbwP/OraRnvxrvTCt6bP0wr+TD+PK3iE/gEyuJv80mUzT/lU+g3/jn/
										nDbxL/gM2sy/5t9QPp/L59J2/iOfRzv4Ar6QCvlivph28aV8Ke0Wvghoj0gSlWmv8QtE2voFIusX
										yBUNRAOmrF8gz/oCiorzxHkssL6AYtYXUJL1BVTZegGqItqKdixZtBe3s2rm2wuWanz1sOrGVw87
										05nizGBtja8edqfxz8M6Gf887G43ya3EOrvJbhq713jpYV2Nlx7Wy3jpYY8YLz2sr/HSw/oZLz2s
										v/HSwwa4BW4Re8p45mHPGs88bKTxzMNeNZ552GvGMw8bbzzzsHeNZx423XjmYTOMZx4233jmYUuN
										Zx6213jmYdp45uHceObhwnjm4a7xzMOlHCfHc9/45OFJxicPr2R88vDqxicPr2t88vCGxicPbyQX
										y+X8TOONh7cw3nj4uTJH/sbPN954+IXGGw//k/HGw6823nh4J+ONh/cwX2Pw3h73OH/Yk57ifbyo
										F+V9vUQviffzkr1k3t9L9dL4Y14trxZ/wqvr1eP/Nv5z+ADjP4c/Zfzn8MFec685f8Z40eFDjBcd
										/qzxosOHepd6l/LhxpcOH2F86fAXjS8dPtL40uGjjS8dPsa72+vMxxpfOvxVr4fXg79uPOrwN4xH
										HT7eeNThE7zB3mD+tjfEG8L/4w31hvF3jEcdPtF41OHvGY86/CPjUYd/Ynzp8MnGlw6fYnzp8M+M
										Lx3+ufGlw6cZXzr8C+NLh083vnT4DONLh3+ZkJZQk88yXnT4t8aLDp9jvOjwBcYrDl9ovOLwncYr
										jiDjFUd4xiuOSIreGL1LZJgvOcRlxiuOuMpXfqK4wfjDEbf67fx7xEPGH44YYPzhiGeMPxzxnPGH
										I4YbfzhihPGHI8YafzhivPGHIyYYfzjibeMPR3zkT/Anio+NPxwxzfjDEV8ZfzhitvGHI741/nDE
										HOMPRyww/nDEMuMPRyw3/nDEL/5aP0usNd5sRLbxZiN+Nd5sRK7xZiO2GG82YpvxZiN2xHjMEwUx
										PxYTe2OVY8lCGw82Do/tjO103ERKZI4kzr4CQsWARImURAxjayUSGF1TkJpKNYC8Nakh0hvhp6gx
										nU4enQFES0COVhj7LqTWGFMvArr5Ft18i24B0O1m5Po7fonAuNvAuz3dhRwdQ7zrhnK649eaelBv
										qkIP45dMfehRqkr9gYbVgIY+pbCAxSjVfh2WxpKAj9WBj42R0oQ1oWasKTsN6aez0xE/A7iZYnHz
										TODmddj/Feh5ifXIlsJuA4aeZTH0LIuhZwND+yK9HxtIzdkgNgg8BwNV04CqQymDDWMv0jlsJBD2
										TIuwZ1qEPdMibDMg7DuIvwucbQac/YauYLPZbDqffcu+pz+wH4C8F1jk5UDeFtifC/yVFn9jFn+5
										xd+Yxd/KFn8vsvh7hsXfFhZ/awB/36F0/i5/l2ryifx9qsMnAZHrWkSuaxG5NhD5C+ynA5drWVyu
										b3G5JnD5R+znAZ1rA50XYL8QGF3LYnQti9H1gNE+NRABkLqhRerGFqkbAalTqalIE2l0mqguqtPF
										BrURB2pTE6B2Y+ybiKbIBeym0w12I1dL0RL7VqIVrrYWrbG/SFwEGuA49sBxpJjv7C6z39ldbr+t
										u8x+W3e5/Z7uUmB6f2rpPOYMJAZkH0aBM9wZSec6o5zRVMl5yXmVznNec16nqs4bzvuU4kxyJlMq
										0H8KnWX8tVFzMwbQH8wYQBEzBmCf5CbRhW4ltxKdaUYCOgsjwU8k3CXuEqrtLnWXUuAuc5eR4y53
										fyYXI8RKpGS6mUhZ5a4i5a52V5PnrnHXUBUzclDUjByg2eBuoEQ3182lJIwfvxFz89xNKGuzu4Uq
										uVvdrVTVjCgoq8AtoGpuoVtIF7g73Z2Qape7C5Lsdncjvsfdg3iRW0Qt3X3uPnAulpwqSSEdaild
										6RLDOKQIMC49isoEGaFARmWUhPSlT9VkIAO6QMZkDDQYqygRY1UV5E2WVZE3VaaBvrqsQUmypqwF
										zukyHXnryrrY15P1wKG+rA/6BrIB6BvKJqBvKptSVXmaPA3pp8vTyZFnyDPIl83kmeB/ljwLec+W
										Z4Nbc9kcNBkyA3nPkedQxIyLKOt8eT7S/yBbgrKVbAUOF8pLyJWXyitB2Ua2ISX/KP8Ima+T1+O+
										/iZvAv/bZAeUfoe8E6XcJe8Gn87yfmolu8iudKF8UPZAiT1lL2otH5LADfmw7EPJ8hH5CKTtKx/F
										vfSXj4HP4/JxcHhCPgEOT8onwX+AHICrT8mnwB9jM6WZsZmaYWweTs3lCDmCzjYjNKVghB6Fq6Pl
										aEqVL0n0fTlGjqE/yP+l7IzjmjrPvn/nJDkJeKBULSJSRimlFJVSZJShRbSOWkuptc455yMBQggx
										nIQQQgghOQkhiZY5yxxljllnnXPWUsaYo84555zjsX6cH+qcj4+zzsfX+vj4Oh/HnK/1oe/vvoLM
										7f3r7flcv1y9zp07Jyfh3N8rn+Rnv9iP87xT3An9vriLPcud9TAeqzhmeE98D7pfxDtTHBAHcN8P
										xEFWJv5Y/DFmHhJ/gr0HxAO478/En6E+Ih7EyJ+LhzDyl+IR7P2VeJQV8LUf9X8V/xUjT4gnkH8k
										foQxJ8XfYcxp8TSO5GPxYxzVGfH3OM6z4lmWKv5B/ANbIJ4Tz+FeYAWMvyhexGyfiJ9g/Kfip5jn
										mngd4/9L/C+M/2/xrxhzR7yDM/A38W84nrvifTaL8wTLB08kIE/UPcqe003XzWCzdTN1s1iBLkWX
										xhboHtdlsDzQxtOsWJeje4Yt0+Xq5rLndfN081CZr3uWfUmXr8vHDM/pnsPIAl0BxizQLcDeQl0h
										6iW6EjzKQt1CjFykW4T6C7oX8Cj8N6QqTi3sWU4tUFALFNQCBbVAQS1QUAsU1AIFtbAUTi1sNqcW
										KKiFpXJqQQ5qYcWcWtgsTi0YD2pBDmrBXlALFNTCCji1sAWgFhPG1+vr2ZfALjaWoLfrmzAGBIP7
										gmBQB8FgpKJXME9AH0Ae1AdRB83gSEAzGP9N/TfZc/qt+q24F5iG5YNpelF5W493l75P/13kP9T/
										EI+1V7+XLeOUg8pt/W3M8Bf9XzAGrMPmc9Zhs+P4Bx9lcao4FZvFiQcVEA8U/7H5IB6sj3FJcUms
										ANwzgxXHzYybyfLjHot7jH2J+wmy5+JS41JZatycuDnI0+LSMA+oiD0HKnqDJcavjl/NxPivxH8F
										+Zr4Nci/Gv9V5Gvj17HpnJlQicTvZkL8D+L3Iwc5IQc5YQzICWP+zzQVE6YJ01JZKecnVhj7JSzn
										JyZwfoKCn6Bfl77O0qT10nr2BelfpH9hj0gbpA0sXaqSqlimZJAM7AmpWqpmaqlGqkNukkwYXy/V
										Y4xZMmPMRmkjcqvUyJ6UZEnGGJtkxxiH5MDeZsnJHgeTtaLultyog8ygXskL7ZB8bI7klxSWIQWk
										IEZ2Sp0YGZK68IhR6U1UuqUtmBn0hkfpkXqg35K2YUyv9DaOuU/qwzzfkbYj/670XYzvl/qRf0/6
										HubcIe3A3nekd1i2tFPayXI487GnwXy7Wa70A+kHbLG0R/oR8n3SPox5T3oPez+QPoAOSj9mc6Uh
										aQh7fyINY+/PpBH2jPShdBCVn0s/RwWkCAUpQn8lHWVZ0q+lYxjzG+k4e0r6rfRbjByVRvEoJ6Xf
										oXJaGsOc4EjMf1Y6C/2DdA5jzkv/jr0XpAuY54/SReSfSJ+w58CXf8Jsl6XLLJtTJnsclBlkcxI6
										E0LsiYSuBJwlEGeUzU3YlIBzldCd0M3SE76R8A1U3kroYbkJ30r4FlvMSRQVkCiby0mUTeckygRO
										olCQKCMSZdM5ibJnwUTziERfJBIViEFjxBljzWkPkWUC+xq2BGLKLxNTvvQQU75MTDmTmPIxYspk
										YsqUh1wPtOR6IJLrgZZcD7STji/c9UBLrgdacj2IJ9cDLbkeaMn1QEuuBxK5HmjJ9UAi1wMtuR4s
										I9eDcnI9SCLXg+XkerCCXA9eIdeDCnI9mAXGnQbiTFAlEN3OBt1iY4XEuEVg3NdAk5xiX1N9RfU1
										1DnFfkllUpnYF8GvLVCXysNKVF6w7BfBslG2EBS7CfmbqjcxnrPsF8Gyb7MXQLH9rBT8Ogz9qeqn
										bLHqgOqX2Mv59Q3i1zLi1yXEr0vBr/lMQ/yqIXJ9hMhVA3LFKwRyfZnNEF4Bv84gX4aYY00i+TIk
										ki/DdPJlSCS6fZXo9nlhk7CZLeKuw2wlMW4aEe1c4QPhA/aMMAKifZJY9ili2aeFj4SPQK6cYp8Q
										xoQx1H8Pcn2CvB7mCP8m/BEs+4nwCZT7PuSSC06OcEX4X6h8KnwK5V44j5MfRKbwv4WbyLkrRJbw
										38Jt5NwbIlv4TLiPnDtEpAsTwufscfKJyFCr1AJy7haRpdaqtci5Z0QGeUZkqqepp6HyCLh5PhHz
										c0TMC4iYK9Vz1Gmoc26er34S3JynzgY3zydufladq85FPk+NTgoMvYAVgKGfR16sLmbz1F8CSc8n
										ks5XLwJJz1cvVi/G/Jyk5xNDv04MvYoY+nVi6FVEzy+Cm3vBzW+DlR8lVk4mVp5NrFykOQBW/hJY
										+RhbqPmN5iRbTMS85CEnCy05WUjkZJFEThYVxNAvEUOXkqtFOZF0MXGzjohZR8ScQKysI1ZO1l7R
										XgEHX9V+igrn48eIj196iI+TiY9TtOPacSgn4BeJgHUPEfCLRMCCKIKAdcS+OmLfFGLcF4ludQ9x
										bQqx7ItEsTqi2GSi2BdBrvOx9+/M+iLR6jSxUCzEyCKxCCM5s75ItBpjUx3xqI4Y9MvEoC89xKAv
										E4POJAZ9jBg0mRg0hVgzRewWu0Gu3xC/wQqJNYuJL0vEXrEXdc6XqcSXpeIOcQdbSmRZKO4CWZYQ
										Wc4mslwo7hH3scXgywFUOFO+RjS5UBwWh3EvzpSFxJSvgSlHcN8PQZaziSyLiCwXir8Wj2GG34i/
										wfjfir/FeE6Ws4ksi4gsFxJZLhHHxDHMwPmylPiykPhyIfHlC8SXS4kvU8U/in/EXk6WD5jyhngL
										FU6WRUSWxUSWr4kT4gQrIaYsIaZcCKachZzT5AtEk6W6J3RPscXElEuIKd8gpiwjgiwlgnyDCHIJ
										EeRs3fO656GcIJcSQS7RLdYtxpzcb0UivxUt+a1I5Lcikd+K9iHvqBXkt6IlvxWtbpVuFR6du65o
										yXVFIteVcnJdSSLXlQpyXZlFriuzyHVFS64rWnJd0ZLrikSuK0kPua5I5LqiJ9cViVxXZpHripZc
										VyRyXdE+5LqiJdcViVxXtOS6kkSuK7PIdUVLrisSua7Mesh1RUuuKxK5rlSQ64qWXFe0D7muaMl1
										JZ5cVyRyXdGS60rFQ64rWnJdkch1RUuuKxK5rmjJdUVLrisSua5oyXVlGbmulJPrShK5riwn15UV
										5LryCrmuVJDryixyXdGS60o5ua6sINeViodcV7TkujKLXFe06AFAsSD+p1gp8f1i/dP6p9lCUH4O
										K9HP1c9lRfp5+vmsEMSfh3q+Pn+S+wv1BfoFbCnRf6G+SF8M5T3AEv1C/ULMU6Yvg5brX4Iu17+C
										2Sr0r2JMpb4SPcNr6AcW6r+q/yrqvB94QV+lr8KR1OhrMD7mTcU7hCXoECx4lFiH0KR3YIZmfTPu
										1aJvYWX6Vn0rKh16P46f9wnF1BvMJi+rQuoQSvRb9FugvE9YSn1Cif7belwfqE8opA5hof4d/Tuo
										vKt/F4/Ou4Ul1C28of+Rfh/uxXuGhfr39e9jzAf6QSjvHxbrx/XjmIH3D8X6z/SfsReof3iN+odS
										6h9K4vRxelZI/UNxXHxcPPIE9A8lcY/GPYrxvItYQl1EGXURS+OS45LRY8yKS8HI2egliqiLmB2X
										EZfBFqOLWM0eoc7hEfQMa9mM+HXoHGbEr49fj0ptfC1bFG+Jt0Ct8VaoHC9D7fF2qDPeCeUOO4nk
										sJNIDjvTyWFnOjnsJJLDTiJ1IBrqMV6dNmdaJnt+2oppr7NF04zTPGzlpBMY7zrU6DTmMg31EnOp
										l3hGqqNeokGygHR5//AEdQ5z0TnYkNulJhC8S3KhwnuGJ6V2qR2VDskPmud9wlPUJ8ylPuEZ9Amb
										UXkT3cIz1C08LX1T+ibG8z5hrvRtqRd730af8DT6hO9gNt4nPEV9whPUITxJHcJ86fvS96HvSu9C
										eYewgDqESulH6BDy0SHsR/19aYA9Sx1CPnUIBdQhLECH8BNUhqWfsnnSAekARn4ofYg67xPypEPo
										E+ZLh6XD2HsMHcKz1BssoN6gUjohfYS9J6VTqPMOoUD6WPoYI3lvsED6N+k86v+O3qAAvcEfMdtF
										dAiPU4fwrHRJuoTH5X3Cc9Qn5En/IYG1yPMol3zUcqTr0g1UuP9RhnRTuoWcuyBlkQtSBrkg5ZIL
										Uga5IKWTj9rj0v9I/wPljki50ucSSIx8kTIByCAxckdKJ0+1x8kjaU6CPkGPnDslZZFTUi45q+Uk
										JCY8gjp3TcpKmJEwAxXunZRN3knpCSkJqdjLHZRyyUEpixyUsslBKTMBG/ZyH6Us8lHKIB+lzARL
										ggX9D++InkJHFGBp6IjwfkiIJETY0+iIulHnXVAB9T+V6H++jbw3oY89S11QQcL2hO3IuR9TFvkx
										zSE/plzyY8omP6asmFsbU825nabgVlJvZp8wZliHMCBMCCvCgXBP3aqa9uDWN1kLITYjtiJ6Ef2I
										XYi9iAHEMOIg4gjiOOIkYgxxjglBmYIZLlIIQSfCg/wK4jriFuIO4j5j1QJCj0iMPXb1TEQqIuOh
										2+yH/n9ebK7qAkQxohSx7KHbFYiViDWT9+G36xE1CDMCx1XtnLoVggqFqmk/Ygh5eKoWi25Ez2Tu
										QfRN5jsmY/dk7EMMIg4gDiGOTo4dpfGsmh8zvw0juhE9dFyxsadoHKvuQ+xA7EbsQwwiDkw+3hnk
										hxBHEXzsKQSvnZ/cf34yLqHG4yqezwji8NRzYdU3ELcRdxETjNVoEPGIpNh5r0lGpE3eZv79dmp8
										Tuw9wG9pfFLs/6f25yEKESWIMkQ5ouLvt/z1q1mFWPvQ7QaE8aFbC8I+dSsEr8aOu8YVe2413sl5
										gv9/Qe/rhyMUC34c/zDfqn+KKGLL5G30/5lHCPJj24bYHnttanYi9jx0ux8xpHm0qkQu9zsNF233
										udoFUj30ij0Ret0+E3rLngq9Y8+A3rdn+538Xsp4tWCfp9yrKpMr/J6qcnmVX6nW2wtIi6fyRHup
										X+F7A6yqQl7rD1fPtC/zh2P5pK6SN/i7q1PtK0hX/lOeYV8Dzbavh86z10AL7GZ/N79XQKxaKxv9
										PVUbZIu/r7rYLkNL7U7oMrvH38frAanKKNv9O6pX2BXoSns4ML3KIrv8u6vX2LtJe0j7oOvtO6A1
										9t1Qs30fVLYPQp32A1CP7AqkVCv2Q4H0Krvs9e+rDtuP+vdVueSgf7C6Ww4Gsqq8ctR/oLrHPgrt
										s5+C7pCjgdzq3VTfwbUqKG/xH6qKytv8R6v32c9M6aD9vP8orwfyJ3WLvN0/Wn0Ae7lemsoP2a9C
										j9pvQEftt6Gn7Hen9Ix9IlBUfb5JE1hUtU3e6T9Vfakp3n+KZjszWbnalAS9wZVXAkurtst7/Oer
										b+Occ13xIOf1wPKqnfJ+/6Xqu03J/ks8D1RWTzSlId8jD/mv1miaMklzpvL4pjxoUlMhNLmpBJrW
										VAbNbCqnvAKaIw8FVlftl0f8N6qG5MP+2zV5TasC6/5BC5vWBtZVjcjH/HerDssn/BM1JU0bSI1T
										eVmTxT9RdUw+rWhqypvsU1rR5FI0VSfks0q8ZdBzk3Sc9B70QDuDHmoXoUfbJeho+3ToqfYUJZ7f
										K1RpOdOeHtlbdVq+oCRVnZUvK8mW8+1Z0EvtuaQ8v9qeryTzvZGBqgvyNf+g5UZ7kX8wlk/qZfmm
										kma53b6IdOk/5Xfbl0Mn2iuVtI2a9tXQ+PZ1Shq/V2S46po8rmRW3ZTvKTkbk9oN0OR2EzSt3ark
										8HrkYNW4jSl5GzPbHdCcdnfkSNU9m6gUbsxr95GGSDdDC9u3Qkvae6Fl7f3Q8vZd0Ir2vUohv1fk
										+MZV7QPhywZmWK6UbFzbPqyUGESbpJRxjZw0SLbpSvnGDe0Hocb2I0o5r0TGYvVJnW5LUSoMKbZ0
										ZdVGS/vxKbW3n1RW8Xrk3KSm27KUtRtd7WOk56Zyb/tFaLD9CjTafh26pf0WdFv7Hej29vuRixt3
										eoXIFUOWLVfZsHGPV69soNmMk5X93sQHyiuR64ZcW75i2TiE1w7qnfkg5/XILUO+rYg/L28qjh95
										ZGzjiDcDeZFtkWLfeNibTTpvKj/mLYCe8BZDT3tLoWe9y6AXvCugl70rFTu/b+SOYZFtqeIyLLUt
										V7wbr3nXTOlN0nHvesWLc1uJM7zctloJbrznrSE1P8itzCsrwaprtnVKplX0OqdU8nqUTEOlzaBE
										a1Y1eUmDU/napih0Q9MWqLFpG9TStB1qb9qpRPm9AoYaV9OegMmw2mZSthjW2azKthpv035okDRK
										uqVpSNnG9wasBoPNoWw3GJpGuPK8ZlvTYWW/wWRz+3tqtjcdIz3xT/nOptPQPU1nofubLkCHmi77
										e/i9Ag6D1eZTdhoctpCyp2ak6Rr0cNNN6LGmceiJpnvKHoPbtlnZX3Oa9KyDBdwGn22rMlRzwSGS
										SqTTlSGDz5GC/LIjHXrNkQW96cjlddvWgK9m3JGPyj1HUSBkCNl6lZFa5lgEFR1LlRHDZlu/crhW
										svUHNtdOdyxXDhu22nYpQ7UpjkpoumM15kEl4CPdGttr6LXtVY4Z+m0Dyv7aLMe6Kc11GHBmUA/0
										1uY7TIH+WG7YZRtWTtQWOaykjild5HBDlzp80OWOELTSsRm62rEVus7RG9hVa3D0B/ZinoPK6VqT
										Y5dyGvkR6F7bcRyh1bGXdABHhQqOc8B2Ujlb63AM/6PyemCg1u04GBiu9TmOKIWGYduYcqE25Diu
										XOB54KBh2HES+UHbOXpGY6R/z3MdF6GbHVegWx3Xob2OW9B+xx28Rtsc9/HccV883yO2i/7zhuO2
										K8rl2l3NwpTuJR1o1iuXDSdt15VrhjHbLf4eaE4knflAa4ebU/EeOGe7o9ysPdicMaVHmrOhx5vn
										BY7UnpTLA8drx5oLwCecDU7Wnmsu9nfXXmwuhV5pXja5go/xdTBwrvZ68wr/aO2t5pX+UVqJLtbe
										aV7DV6Xm9f6rtfflE4ErRqG5xj9h1Deb/RP093LdmNgs42+Hv29vGWc2O/09xtRmDzSjWZl8j93h
										r2/gvjG7OaycMOxq7obiPAQF47zmHn5Omvug9EyNBc07oMXNu5U9fMWJ3LdO9ypYfXDljwrWFG9Y
										SbOme7uhWd6e2PU5qudXuWiiNdfbp6y15nt3KGv5dSY601rk3c2vOd59UFxJoqnWRd5BXD2Weg8o
										Qf7OD/iMpc37lArjsubBoN64ovlAMNG4svmQ/5JxTfNRv2Jc3zzqDxtrmk8FZ2LMGYwxN58Pphrl
										5kuB6UZn81Vlm9HTfCOYYVSab/v7jOHmu/4bxu7miWC2scepCc4z9jnj/YPGHc6kYIFxtzM5WGzc
										50zzjxoHnZnBUuMBZ05wmfGQMy+4IsYbxqPOwuBK46izJLiGE0Wg0njKWRZcbzzjLOevgrMiWBNb
										2Y3nnaugl5xroVedG4Jm4w2nMSgbbzstQafxrtMe9BgnnK6gUqdxeoPhunhnMNgdY9rqNc4oXn1i
										pxil1CU5twSnuNG5zd9Xl+zcjpUa741gX/Woc2ewry7NuSe4oy7TuT+4uy7HORR01uXRyELniP9o
										XYnzcHBfXZnzGPJy5wm/s67CeRq6ynnW31231nkBusF52b+7zui8BrU4b/pH6+zOcajLec9/qs7b
										wqDBFhHHE22RoFtapgcHq1e0pPh31G1rSQ8eqNvekgX2wBkIHqrb2ZI7+d421O1pycc8+1uK/BN1
										Qy2LgkfrRlqWBkfrDnPCrDvWsjx4qu5ES2XwDP+7CJ6vO92yGpQOVg9eIr1ad7ZlXYzAgzdIb5Pe
										JZ3gj9KpiWndhRaDv6fucosJz/1aixXHdlO2d8bXjbc4JvMk0mT+99WZVnePn0nOw52ZpDmcezvz
										TKzF3ZlHeSFpiUls8fkPmaSWEHgYVNxZZpresjnGwJ3lpBWkq6qvtmz1nzKltPRC07lyau1cS7rB
										lNXSHyPVTqMpt2WX/7wpv2UvFHVUiloGYtTaaSG1k7r4X32nlzQYU9OilmH/DdNSeaQzalrectB/
										21QpH+7cYlrdcsR/17Su5TjU0HLSP2EytYyBLfG6dG4j3W6ytpwLJtaaWnBVNDlarnTuNLlbrnfu
										QQVXRZOv5Q6OPNRyv3O/abNL6BwybXXplcOmXldi54ip3zWz8zDqqZ3HTLtcGZ0nTHtd2biq09Xb
										NOCa13naNOwqwNV4zFXceTZ2JTQddJV2XjAdcS3rvGw67lrRec100rWy86ZpjBjggmsN1oLYKkPX
										7dgabTrnWo8VH6tt57jpIl9tTVdcNVjpcNXqvFe73GXuvGe67pJDzHTL5VRGTHdcns7LsXW5Nsul
										4Lncd4U5S7i6lWi94Orha7qrz99Tr3fteLDa1ie6dvP1y7VPOVE/0zWISqrrADTDdejBSlGf7Toa
										EuvnuUaRF7hOhaT6YteZ0HT+7EIp9aWu85NXWkf9MtclzLPCdVXZU7/SdSOUXr/GdTuUhTNzN5Rb
										v941Ecqvr2nVhIrqza3xoUX8vIWW0jzLa1lrkjJSL7cmhyr5NTy0epJ2oKF1pIYHVGNzhEykxDkh
										B6mbH0PIRxqqd7amKTvrV7Rm4kg8nEbqFdvmoFAfbs2J5aHNpFv5WhDq5VfdUG99N51h0EWon3QX
										8cOd+p7WPKwXyEN7SXvr+1oLlWP1O1pLQBTgitBA/e7WshhFBAWuoWHSrbVZreXKaeytgO5rXTW5
										4t/hGjpYP9i6NrbKh47UH2jdoJytP9RqhKKOytFWS2yVDx0nPUk6xtep0DnSraQX60db7Vi7sYJ3
										GutPtbqwUmMdD12pP9PqVa7Vn28NKtdqjrVG8d442LpFuUnn/DrpLToPw/WXWrcpF+qvtm5XLtff
										aN2JNZ0otP526x6l0LrceyiaYa30Hg3dt672jkazreu8p7pGrQbvmeg8q8l73j9otXov0ZirGOPw
										3gD3ur23owVWn/dutNga8k5ES62bOzTRZdatHfGYobcjKbrC2t+RHF1p3dWRppRZ93ZkRtdYBzpy
										ouutwx15WDcPdhRGa6xHOkr8N6zHO8qi5lh3YD3ZUa6UW8c6KqKy9aQ3IzJmPdexKuq0XuxYy1fV
										jg1RzySHX+kwklqg1zvsUcV6q8MVDVvvdHij3db7HcFoT6PQEY32Neo7tkR3NCZ2bIvujnWgG/M6
										tqPninU61FM0zuzYGd0X6/IaUzv2QDM69qMj4Gv94MZox1B00Cp2jEQPNGZ3HI6GG+d1HIt2b0yi
										kQUdJ8JDjcUdp6OHYn2WZbADPW9jaccF9LO3Oy4raY3LOq6hr8zruKkUNq7oGH/w6I0rO+7hGKhL
										alzjY+iYYsez3idCa3xS9OjGTN90Ja/R7EuJjjbKvnR/Dz8D0VONTl9WjFUiw40eXy5mU3z5SrAx
										7CuKnmns9i2Kno/1g409vqXRS419vuXRq5xzojcad/gqsa6hs47eJr3buNu3OtYvRye4duZwDWRx
										3aThj7KJHmtTklXy4fw37vOhF24c9JmUPN7/bkpuPOCzTuZppJmclzY9OJPoXjflkRbyo9pU0njI
										59hUQnkZaXnjUZ9bqWgc9fnQvaKH3VTReMoXinWsm2K6lhR9pW8zztgZ39YHynvMwH2um4yN5329
										sb5yk6Xxkq9fsTRe9e2Coo7KDd/eWI+JR+daRkqd5ibqGTe5SL2Nt30D6BzRP24KNt71DaNPRBe5
										Kdo44TuolMka3xFovO84GE/0nVQy+euyaQvptqpx39im7XKS75xSLif7LipeOc13RQnKmb7rSnz9
										3db9StS0uXUIV62J1hEwqhtXxf1mTevhzgvm+NZjoTvmpNYTgV5zcuvpgNuc1orebUovhO6bM1sv
										dwnQa6Q3oTmt4116c17rva5Ec2HraRA79XSmzW6GmUvcYtdMc5lb6ko1l7und2WY9vLrJ1c8SoU7
										pSvbvMqR3zXPvBZaUDPuRgdn3uDO6io2G925XaVmizu/a5nZ7i7qWmF2uRcpx7h2reTXya41k70V
										qdnrXuq/aw7ahrvWm6Pu5V015i3uyi6zeZt7dZds3u5e1+U073QboNvdpi6PeY/b2qWQhs373Y6u
										bqgbOuT2BQehoeAgv5Z29ZhH3Ju7+syH3Vu7dpiPuXu7dptPuPu79plPu3d1DfKraNcB81n33q5D
										5gvuAcVuvuwe7jpqvuY+6D9vvuk+gmvgCvfxrlHzuPtk16nYCsW164zhnOto13nDOfdY16UYudWd
										cJ/rumq+577YdaOBua903a7a4r7uH20Q3be67jZI7jtd+obp7vtdEw0pbUJwTUN6mz6sachqSwzH
										N+S2zQwnNeS3pYaTH56toagtI5wGzQ5nNixqmxfOaVjaVhDOa1jeVhwubKhsKw2XNKxuWxYua1jX
										tiJc3mBoWxmuaDC1rQmvarC2rQ+vbXC01YQ3QM1hY4O7TQ5bGnxtzrC9IdTmCZgaNrcpYVfD1rZw
										2NvQ29YdDk5qf1tPOBp7t9SMt/WFtzTsatsR3tawt213eHvDQNu+8M6G4bbB8J6Gg20HwvsbjrQd
										Cg9hnqOY53jbaHik4WTbqfDhhrG2M+FjDefazgf2NlxsuxQ+UT/RdlU50XCl7Qb0etvt8OmGW213
										/ZegE9A7Hk34bMN9T3z4gkXwJIUvW/Se5PA1S6InLXzTMtOTGR63pHpywvcsGZ48xWLJ9hRGmGWe
										p0Q5aynwlHXdtRR7yiOipdRTERy0LPOswrHRo1hWeNZGJMtKz4bIdMNqjzGSYjB4LMp2yxqPPZJu
										6PW4IlmGfo83kgsNKqct6z3RSD50SyTfMODZFimy1Hi2K5mGc56dkUUWs2dPZKlF9uyPLLc4PUOR
										SovHMxJZ3bDLcxhnCRpZF+v6LYrnWMRgCXtOROhzmwixSsRh6bb5Iu7YXxxnjEDu5CcV//jXcTD2
										WUHsk4GuHkuP53TEx9f3SIj34JHNk+9J+nSIf7YQ6LX0ec5GtsZIzLLDcwG623M54Jj89IY+VzFr
										bNZIL//riPTHun7LPs+1yC7qOu8wgc1S3VL9N2Oqv6rwf6p7qs+YRvW5oGKioBVEFidMEyQ2TUgS
										HmUJwmNCMntESBXmsEeFTOFJNkPIEZ5hjwnfE77HZqmXq19mKdpy7UssVevQNrM07a+0v2LpidjY
										FxIzEl9lGYkrE9ezysSqxC729cS3En/JgomjiTfYjxNvJt5hZ3E0rzMN/X41kT3C4tijbDWbxtaw
										GvYaM7I32Xr2DbaFhdhW9jELs9+zP7ET7D9U8ewPKkmVwD5XPaJ6TKVSpapyVHr+/UXVLNU6Vb0q
										TdWgCqtyVVHVNtVyVZ/qe6qvqH6q+p3q6+r31e+rXBqnpkXVqlE0QVWbJqp5U+XVvKV5S6Vo3tZ8
										RxXQvKN5VxXSDGgGVZs0BzQfqro1v9T8UrVV8xvNb1Vv0a//tmnGNB+r3tZc1FxSfUdzVfOfqn7N
										nzV/Vu3U/FXzN9X3+bfZVLu1M7QzVD/UfqydUO0VtWKW6oz4tPi0alx8RsxT/VV8XixRfcZ/qaD6
										XHxRXCZoxHLxVUEUXxPXC4litWgU0kST6BAyxBbRJ8wXN4lbhOfFrWK/8IL4jrhHWMF/ByCsEgfE
										j4Q3xFPiKaFJPC2eExziBfGC0C5eEi8JXvFT8brQwb8vJQTEv4jjQli8I04IUR3TJQhv6abrHhPe
										0c3SPSm8q8vWfVEY1C3RWYUjumZdj3BD923dt9X8uz796gTde7oB9Qz+78GpZ+l+phtRp+kO6n6l
										Tuff11Fn636vO6cu1J3XXVUX6/5T9zf1l/XZ+iH1av1f4p5Q/ynxs8TPNPwXX1YWhUosnf8ieMkt
										xH3GlhYgslm2vOtli7xXHpCHX94vH5SPyMflk/KYfM6mf91pS7TNtKW+fsCWYcu2zbMV2IptpRX3
										Xk1/aVflIfniq0y+Il+Xb8l35Ps24dX0V7rxrtLgPX6L3uN/ZSrV56rPmYB3dBJTY9/j9I1QJrwn
										vMdUwvvC+9g3KPyYqYVfCL9gWvpGqCj8Tvgd09NvmeKEj4UzLJ6+CyrRt0AThD8Jf2KJ9P3PR4Q/
										C39+8K9/qVVq1dS/dqhViyyZfvuUok5WJ7PZ6hR1Ckulb2zOUeeoc9jj9LumdPUi9SKWQb9iekJd
										pl7CMuk3Hln0nY2ncPySajqdOa5MTmPgBzlTzpHz5EK5RC6Ty+UKeZW8FrpBNsoW2Y5wyV45KEex
										b4u8Td4u75T3yPvlIXlEPiwfk0/Ip+Wz8gX5MvSafFMex75x+Z6N2UBlNvCWDbRrAzX9w3bEBhay
										gXumtkrbats6m+GhzWSz2hw2t82HsX/fjttOQkO2zbattl5b/9S2y7bXNmAbpu0g5htDrch2DtlF
										2xVk1223MGeR7Y7tvl2wbcbzV8VZJ68a/Hflj9I5ScGmZmnYNCybPc20bB42HXsWm56VYItji7DF
										s1Js09gy9mX6/eAruOrEfjn4NbaOfjm4AfMZsc1gZmwzWTNzssdYG/OwWcyPbTbrxJaK69FbbA57
										G9vj7LvY0tkP2B72BfYetifYALZM9iG2J9nPsWWxX2B7iv2a/V/2vgc6qurc95yZM5OYpmNMIwLG
										iBhTjBgwxIiRRoqRUgyTmUmMSAPFQGfO/DlnTibzPxRpSlMuZfGQcjGlPOSxkMvjUaSUIlKkyKWY
										Uh6lmEspj2LKpbmIFCmlNMWYvu/7nTPJEGKl69631lurXXv9fmfPPt/+zv7zfd/e+zAZDlL7DlMa
										g/+/80HhpPAroVj4NaWxwr9Telj4D0olwhXhD9T2HuHPwiNCH6UJoknMEMrELIp9Ffge9xMU+3KE
										Sfged6VYIN4nPCneL94vPIW/WKyiaOgQnsb/czdVnC3OFb4gNoqNwjP4Tnc1/j5xhhgQA4JdDIpB
										oUaMiFHBIX5VbBVcFDvbhJkUPf9JeF78lrhM+JK4QlwhzMbfJ86hSLpb+LK4R9wjzBP3i28J88VD
										4tuCW/yp+FNBFn8mHhG8sF8/RYExQiCzOLNYCOLbc1rmI5mlQhO+MdecWZFZIYQzKzMrhQj+XiaK
										78fFMudmviAkMudlzhNaaG67hWuw/XL+vRsllzCcUEAoJBQbGG+gnDBJeE4ZrhQohUqxMl4pVyYp
										U5Rpil2pU2YpcxW3EqAUIsSVhcpiZamyQlmtrFU2KJuVbcpOZY+yXzmkHFGOKyeVM8o55YJyWbmm
										9KomSpmqTc1TR6qj1CJ1rFqqTlQrlUNqlTpddaj1apfaoDaqsqqqYTWpLlLb1GXqSrWd0jp1o7pF
										3U5pl7pXPaB2qEfVTvUUpW71onqF/180S6PFS4vgbNscslgT2ed/lX3PoHQ7rDwHVn4HrPwzsPI8
										WPmdsPJhsPLhsPKRsPK7YeX5sPICWPm9sPJRsPLRsPL7YeWFsPIHYOVFsPLPwsofFI5QKoatPwRb
										HwtbL4Gtj4Otj4etPwJbnwBbf5Rs3SSUw74fg30/Lt4jFpDds2VPgmV/DpZdib9TeBLWPBnW/HlY
										8xRY81NkzV8lH3hRfJF8gP9a4Quw5mmw5unit8Vvkz+wTVfj7xRmwJrtsGaHeITs2CUeFY8KtZnP
										Zj4r1GXOypwlPJvpzfTyXxznLMpZSvOUTWP/KUEM7xCEwFLCCsJqwloq203XDYTNhG2EnVS2T7oj
										sCy8Wi3864BMcbQksDK8NtAe3qCOvxFcFlgX3qyWEyZFyxiBjeFt6pS/DpYJbAnvDGwP71GnDYA/
										B3aF96t2Ql20IrA3fEid9dcBmbnRyYED4SOqO3wk0BE+DhwNn1QDhFB0KvLxaLW6MOoKdIbPBE6F
										z6mLB4DPS6MzA13hC+qKT8Dq6Bzo6A5fBi6GrwWuhHvVtTo4H+iJmNQNA+DPgb5Ipro5kslXhiJF
										bOq2TwbLKVmRPCUnMlLdeSOUYZFRSn6kSN1zI5TRkbHq/gEoYyKlt4LmVckjSklkolIWqRwSFZEq
										RvOa5HGGMjky/ZYwNeJQqiP1H4fm9cmTiivScCsIbUycVmZGGoE5ERmYH1EZzZuSZ/ga6kxmN29N
										nlN8kbCiRZKDEdqeOK9EI4s+Cc07kheadycvKwsibUBrZJmyJLLyBiyPtN+EVZF1N2BNZOMtY31k
										i7Ipsv0mbI3sUnZE9t6EwWO9O3LgVqAeis5X9kU6lIORo0OC7qlHoj71eFSD3OFI5y3hWOTUkLbD
										+k4SzkSjyolI161APRddoJyOdPfjbORiP/j+BcLlaCvy16JL1N7ocuV85AraOwhBU3QV8pciPZ+E
										YGZ0TdAWXX+DjquRvhtwPSoNRjAvuik4MrpVFaJZwVHRHbgWRXcP1Z6Pg2qN5qjZ0WE3ITearw6P
										jr4JBdEx6QiOje5LxfYbYrERK1MxLlgaPZiKQcGJ0cPpcaTfTtLnNTUvqTGqjB7rH9uq6In0NiGW
										7KOYQvbYfFC3y+bDhg+zXx0jnEheY3tvPk04m+xN2XPzebrSc4LTo6eDjujZYH30fLAheinYGL3K
										60tQjl7ncvSN1oigGhN4LQmGY9ZgMpYdXBTLDbbFhgeXxQqCK2OFHNu5z8H2WHFwXWw8x+fgxlh5
										cEtsUnB7bAriMsV0Hovgrtg0jp3BvTE76w0eiNUFO2Kzgkdjc4OdMXfwVCwQ7IqFgt2xONZIXoN4
										TeAxvBgtCV6JLeR1LNhD609qnPtidk2KLWYdfE/Lii3VcmIrsPak1tq0OerXyTDWlNRawO3itVEb
										Flut5cfWaqNjG/rnmeVp7njutTGxzVpJbJtWFtupVcT2oGwyreErdfB6zev2Ddior8va1PBOrMf0
										nNRazFeA7Ad9G7TG8pWhVYfPMHh9TK2rKWiu8GVG/xrJa6axNqavlelrZGqdTEGbSesgrYVY+2g9
										1OZERjFgt7zOjdahzY/tZ7vUfLFDmhY7gnw0dlxbEDsJm6X4obXGzmhLYudwb3nsAq6rYpe1NbFr
										7Lfa+lgv+xP6tSlu0rbGM7UdcRv8IuUHRlzkWKrtjudxnNP2UWwyfEQ7GB/JcYvrp2LgTb41yK/6
										44vhW6yD46Z2OHpVOxYfxW3sr0/y7G/aiXiRdjo+VjsbL9XOxydql+KV3G6OSdwH7Wq8Srse19eG
										T4pBRruaBCOOp+LSyTQZo83o66B43N8fjsMpfNyzPiaeNlmNa3Y0i+cihZviZHqs5PiYipFp8ZBl
										oYdlODbRGDTlRrc2X2ox8Rw3X23J5H42X2+xhYWWvLC1ZSSXI2Zpyc3h7JZR2L+Q3bFsOLelCPsN
										2neEh7eMxZ6CYlq4oKUU+zRjTxAubJkYLm6p5PU/PL6limNduLwFsTA8qcXBYB8NT2mpD09raQjb
										Wxo5DofrWuTwrBYVezKKl+G5LWHUdbck+/dMvOcx9ijQZejge+FAy6JmV3Ip2pXa26X2Bq6BGAyk
										9jDG3oN1QUeopS00MuFCnVR9lucYzZ/ZLngMuG/xlmUo431jCsY+8Qbcyl6Q25ba06Xt6/rB+7kU
										Bu/rUnu0IfZm4YU6PnFvxnuv9P0X77lS+670PRa3leuyTGpMDN9qGh534FoQr28qjDfAVnnPk/Kr
										4nhj0/i4DJTH1aZJ8XDTlHiyaVp8UZM93gbUxZc1zYqvTLf3prnxdsAdX8f+1RSIb2wKxbc0xePb
										mxbGdw3pb3Q+aFoc39u0NH6gaUW8o2l1/GjK35rWxjv78xvip4DN8S4GfG9bvLtpZ/wirnviV1I+
										2LQ/3tN0KN7XdCQh9fsf+VXT8UQW2nMykcMxq+lMYhivPSnwnrLpXCK/6UJiNPp8OTGm6VqihGMX
										x4+m3kQZrykp+ZApURHKTEwO2RJTQ3mJarbH0KjEzFBRYk5obGJ+qDTh431BaGJCYz08fqHKRDRU
										lViAvS3Nf2h6ojXkSCwB6hPLecx57EINiVWhxsSakJxYH1ITmzh2h8KJrZBPJnaEFiV2h9oS+3gP
										GFqWOJiKzaGVicOpdSnUnjgWWpc4weeR0JbEWT5ThHYlLoX2Jq6GDiSuhzqSAo9j6GjSyucRXrtD
										p5K5rCPUlRzO8xzqThawX4UuJgtDV5LFoZ7k+FBfsrxZSk5qzkpO4fWd7zXnJKexz0GO2t08LGlv
										zk/WNY9OzuK2N49Jzm0uSbp5zpvLkoHmimSI+9U8ORlvnppc2FydXIyYYMRcjpPNM5MreK1snpNc
										3Tw/ubbZl9zA8a45mtzWvCC5k22Xx4vzza3JPbBnsoXmJcn9zcuTh3gcBZMg2tpsKwThH/+C8nf0
										LygXhSsD/w7grRYCXs0b9S7wtnqXeJd7V3nXeNd7N3m3Eu/w7vZWGykK7PMe9LqMdNh7zHvCe9p7
										1nu+fq/3kveq97pP8Fnru33ZvtznhvmG13f5Crzz9UQSBF+hr9jr01N9x3M5vvG+8vpdvkm+Kb5p
										PruvzjfLN9fn9gV8IV/ct9C32DszlUhiqW+Fb7VvrXeOnnwbfJt920huJ9rHLWJJvsdPpCfwe/5P
										byHb/uJ/yXvQGeQbNZTuwHvQXLwH/Qzeg96J96DDBFnwCXcJAUoj8Tb0brwNvQdvQ+/F29BReBt6
										H96G3o+3oYV4G/oA3oZ+Fm9Dx+Bt6IN4G1qMt6EP4W3oWPK5I0KJcJTSI3gbWoq3oRPwNvRRvA0t
										F/5DeE94THifUgXeiT6Bd6KfwzvRJ/FOdDLeiX4e70SfEgvEAqEK70SfxjvRqXgn+gW8E52Gd6Jf
										xDvR6Xgn+gzeiVaLXxVfFOzi18SvCU68E3XhnWgt3ok+i7eh9eTprwvPiW+Ibwiz8E70S3gnOhvv
										RL8sLZW+JczFb+U1SrulN4T55NeHBLd0XnpPkMl/rwk8f3Fh4YCtynlCqZwnj5RHyUXyWEql8kS5
										Uq6Sp8sOuV5uQFopt8vr5I3yFkrb5V3yXvmA3CEflTvlU0iNsiyrchj1x8pJ8CK5jbiR0jJObDem
										h8huHjbsJhfPZ4sx0Rx9lqyHbUWi8S8l62FbscJWMshSniYb4nfmt5F1zCIbYvv4FOwjG+/JP039
										8pMlsTXkkC28RPbEdpBLVrCJ7IktIE/4PqU7YQHDYAF30fwfJLvl9+EjaM5/RRbGs343Zj0f78Dv
										oZm/IBRgjkeJOTTH92F2R2Ne78eMFopfFucKD2BGP0szqgljxCjNaDHecj8kLqNZHItZfNj4HUl+
										pz1OfF3cLYwXxMzyzEkD8+Gpl+7w1A9Ocqu8xNPgafQs05O83NMgr+LkkQcneY1H9YT1JK/3JD1J
										eROVDEryVs86zyJKbZR0nTtwXelpTyV5N8nclOR9no2kYYtnu5F26Uk+CD5MvPfmJB/zHPB09Kc2
										96FU6tfcNjgF9/uXe456OlMpeMhzykhdg1PwCLWqW0/B456LnotyFpUMSsGTwTOeK8Fznh5KfZyC
										F9Rjnj5ZkrNSKXhZzhmcaHSWeDZ6J3k65WF6ch/XU/CanC/nBy/I+QPtTGtxr3uFPDqVPD3ymFQi
										jbruEvnEoHRaPkvPKetP5+UKTu4VN/davuQZKU/uTyw3TJ46KF0lXJerkVyyyyvo5V6rN5uuM3Xt
										nLy53uHynJuTt0Ce7y2UfbCXRd5i7jEn73hvuXeSu9c7xTvNax/Qk6axzn08zZ40OeqdpSd5gZ68
										c9m+vW7YruoNeENsC94424x3IduHd7F8wrsUvZ3qXeFdjRathva1clSOsqVoJozHRi1Ts/Goank8
										+tpIHmnvBu9m7zbvTu8e735Pg/cQ1TtCuo97T3rC3jPec94LnjbvZWrfOu81b6/P5Mv02Xx5vpG+
										Ub4i31jPOvd+X6lvoq/SV+Wb7nP46n0N1GKVWrnX1wgva/PJPtUX9iV9VZ6wb5GvjXSx16JHkFwH
										P6Ee+ZZ5kr6VvnbfOk+9byPpPkRyjeRLu3xbKNfg2+7bRbzXd8DX4Tvq6/Sdgi8n9eTr8nVzb30X
										fVd8Pb4+v0Teyqndn+XP8Q+DjdOT/PmeXf7R7I3+MYQSf5m/wj/ZP9Vf7Tngd3k6/DNZC3uef45/
										vm6pcpnf59f8Uf8C2eVv9YT9S/zL5flyvn+Vfw2N8gL/ev8m/1b/DrLXqTQDFf7d/n3+g2RzLv9h
										Ssfkav8JWGCJXKLPFeTmsMXwXPlPE876z/svySX+q3Qn6r9Oi7o1kB3IlcsCw33rAgWBwkCxpzMw
										PlDONQKTAlMC0yjZYeMV3qUorQvMCsyVXQF3IBAIUYoHFpINc6oILA4sDaygVs/3LAqsDqyV8wMb
										2E4DmwPbAjsDewL7A4cCRwLktYGTnvbAGbJHjfsWOBe4ELjsnUIWGpVLAte8+2lsdnmnkMed0kZR
										7JqjHtOKtLGebq2U7LnP06NNpEiRo1V6z2lV5Mud7kPadPWYeoz92lOlOeQxWr3WoDX6pnsLgtk0
										2hvZKimacXzq4ceSFEnQpw5NpUjF8Q4WrEtyhMG8VHkuamH3Ci1JNr6IyseQXCfFq3yNaxzVlmkr
										qY3t2jpto7ZF267tQhS8qO3lCKgd0DroaUe1lVon0imKc5Ie63y7NDyNLVhrdx/Xujmaad2kmSUv
										ale0Hq3Pc0BbpkcuxK4czUSpncZ0NLfEfz7Qq/BPvGUqNiWPItRmZaQy0r2ZbGW9Mkop4pjkaVTG
										+sJKqVyhTFQq/a1KlTxVma44lHqlQZ6pNCoy3VGVsP+8klQWKW3sscoyZaXS7lnkX6OsUzYqW5Tt
										yi6lXdmrHFA6lKNKp3LKKyhdhG7lonJF6VH6VMk3Vs1SczxblFP+85696jCSbvB0+ZfgDr6T4wnz
										t3L8O7yb+Zs5nnX9382Zo873dKk+fDvH+G6Op4+/m6N0es8Z389Z7jkw5Hd0zquXlE71Kvlajzeb
										v6XjzQ5ayU5dZK92mvntcjSYS7FxjPvQwDd3vLRaBMvlnOBwf47xrR3j2zry/GCdWmJ8U6cA39UZ
										+GZO6hs5ewIh7KYe/scJ8+/ohCkLGr7VMIxYcJ8TRE+pkOfuotTt7p7dMLvBfZFSu7sd+SvuK7O7
										Zne5eyj1ufu4zCNRyvJkcVnDwoaFnhxKwzzD5pTNKfPkUxrtGU3PMdnsthp6Rg5ONAJONCacZczY
										80o4y1hwirFiz5uBU0wmTjG34eTyKZxcsrHntWHPezv2vDk4s9yB08pnBDFnfo6KPuF7h+75guhe
										Qlc6o7iXS3dM73O33gqq17pbn5EIWR+DHB3V23Q8M+wWkU8YPQTG6Kg+RNeSW0P1cbqWGagwMFmH
										e45+rb5AuEz5qYTqm1HdS1fXJ2NGpqFjpgHWP38QfENAG4To34AFhNYhsISwfAisGoQ1twaXla7r
										CZs+Blt1uLJ1PLPjFrGbsO/j4cql68Fbg5Nt57CBYwZO6HAN169Omh9XAeVPE87eDCfb2flPhquQ
										UEz5SwauEq7fiGphCFgHIftvAI1F9fAhQP2pLrwZg8e6uvjWMGMiXccTyj8GdG9GJaHKkJt0i5gy
										tO1AB+t00HXarWFGPV3twBJc69KQkmk0rjJBpfysgWelY0bYyM/9ZMxIEhYN0uEehMDNmNFGWEb5
										EMWd+fp1RvvQ7flYxAkLh8BiwtIhsOJGzFg3ELtviLepeJmKYxsH4suMLTfGj347SZ/X1Lykxmh7
										2tjuurFN/TEl3TZTPpzyLdZl2LyrbpBd83zuJRwgdBCOultruA20vsw4pZdzn3iNmNHlxlriphg7
										4yLhCqGHQP2387pVrffXTmuVndcqmhc71bVTHTvHAc2I6TQO9jF6vLSX6HrttJ646b6d1g87xRQ7
										6bKzrpnG+KbGk+ryOmnn2M86KwbGmXXZo7oOvmenWG5v1dt10zwNmqP+9cSYJ9bFa6Od4r6d5sm+
										Kq2+S587/mynsbdTHLeT39m3GjJSGnKGwOB1ecwQKHEPrK9pa2w/pqZh8BqbWi//M+vkAveNa+ES
										98AamLbe2U/odmmn+G8/a+TJ5uyXDJsle7NTLLdf1z/XCMaVYnVNtu63Nbm6P3G/aij+1lD8rSk0
										/CLlB0Zc5FhaU2zEuboBH6kp1+MX1++PgYN9a5Bf9ccXw7dqjFjM9l8zRW9jf/25ur/VUP0afg49
										u4biX81cvd2IS9SHGtJXEzDqfVL8GRTHh5RJtXmIeNyPWWn4uGd9QjzlebgBg+NkeqxcnBYj02Pi
										eKPuQuNesR6jXXP1OXa59X666HkuknPF9XKOWU6yHRfVw/5lgS7romdgv0H7DhfHurNGPFth2Kax
										J3CtJlBM4PXftcGIc5t1va5tOthHXTsJewj79TjsopjmOmLET4qXruNG3ZPugT3TsbQ4um1AB/ZS
										Z6jdB412DY7Dg2Jw/x4mFYe3GTrOuVsdy4w6qfrn9diMz5v0MUDfLhhl69OwdQjcyl7woHtgT3fM
										3b+v68fpNAze16X2aP+ZvVmu+8b9V4G7f991w1q2z6g7fGBMUr5Vs9S4st+tdg/seQy/qiGbqNlg
										gOyhhsa8huavhuavZr8BsoGaIzfae81xAyd1/6qhea6heaqh8a+5PLS/cWysuUags43DRMgc8DeH
										LS2fZ2CkDvY9xyhCkXEdO+CDjlICxTtHZZr/UZ8dVXp7HNP1mOVw6GtPCryndNB+ztGg99lB+zaH
										rMcujh8OVV9TUvIO2q85aB/moH2Yo023R8dKAu2nHLTHcWzU9wWOLYYeGj8H7Ukcu/R4zPPvoD2E
										44CBDn3MeewcXK+TQHsJR5ceux3dhjztIRy0h3D06HtAR5+7PzY7pYF1yUn7CWeOfh5x5utnCiet
										kU5aI520b3BW6OPonKyfR3jtdlbrOpwufZ6dM3W/ctIZ0knroZPWPyfrprXOuUBf33GvVfc5znO7
										nTSvTlrznKv0tjvJ/pzr9Tl3stxWvV9OjmHkb859ekzoj7kUw5yH9bXSSX7m5DPTaT3eObk9l3Tb
										5fHivPOqbs9sC04aV5egjyN/G+PTBz79k398G+Pv6V2ZVCwd5H9RNR0WXhOEjFGEIsJYQilhIqEy
										7VplXKcTHIR6QgOhkSATVEKYkCQsIrQRlhFWEtoJ6wgbDWwhbCfsIuwlHCB0EI4SOo1nnSJ0EbrT
										rhfTPl8h9BD6BCFTImSlXXMIwwj5ujxfM0cTxhBKCGWEirTrZMJUQjXBRZhpyM8hzCf4CBohSlhA
										aCUsISwnrCKsIawnbCJsJewg7CbsIxwkHCYcI5zQ+5V5mnDWuJ5Pu6bkL+ljiuspo56cdv8q4Tr+
										i2/hNiuB/PW23IErj89twwkFaddCQnHadTyhfODKbb5tEmGKUX/a3wbMWTqm6+Dn36Bv+CDYCXXG
										1X6znttmEebq432bmxBIu4YIceE151LnCudq51rnBudmhjXu3Obc6dzj3O885DziPO486TxjDTjP
										OS84LzuvOXtdJlcmJZsrzzXSNcpV5BrrKnVNdFW6qlzTXQ6g3tWAz40u2aW6wkDStcjV5lrmPOJa
										aQ242l3rXBuBLa7trl2uva4Drg7XUVen6xTV63J1uy66rrh6XH21Um1WbU7tsNr82tG1Y1zh2pLa
										stqK2sm1U2ura121M2vn1M6v9dVqhCjXqV1Q21q7pHZ57araNbXrazfVbq3dAeyu3Vd7EDhceww4
										UXsaOFt7vvaSNV571UjX+3Ocv14nGMlKKdvVU5dL5af1VDe8roAwvK6QUjGl8XXldZNqr9ZNYdRN
										q7PTmjBiyF9cEIxfXMjELy5k4RcXsvGLCzb84kKOiX9xIRe/uJCHX1wYhl9cuAu/tTDCNsr2iHC3
										bYKtSnjYNs8mC0/aArYm4Wlb2JYQnrEttL0oOG2Lbd8Qam0v2X4kPGt707ZPWGTrsL0vtOLXFzb9
										f9wyUcwVNXxfZY/wkCDcf8IAefr9Zw2cN3ApLc8g777/upE/y/9xu54vtBrINkCeXkgeVEjeXUhC
										hcW6bOF4Q57LytM+TzKuUwxMG3hmoV3/XFgnPOS0Usp25jqHOwsoFTqLkcY7y52TnFOc05x2Zx3S
										LOdcp9sZcIaccSpd6FxMuaVUo9jwRt0f2RM3OPfQXN2OX9oQ8BsbJvzGhtlWaisVJNvTtqmCxfZF
										2wwhA7+3kW37sq2R5sFr8wv32EK2ZmGULWn7qjDa1mr7ulBk22vbK4yx/dj2Y+FB20XbRaH4/7F2
										se9L0hPEsyw+4k8hn4V8GfJlyE9A/hHJzmxZhHyYuNTyMvJPIO9D/iHkn0GtscQlhrZaaFvIdyHf
										II1htrj4W0+WJOXzpEJmS4R4B2Re4bofIf/Rm9DTinK/3iqjbZXQ3Iz8NJQjb3mB2foyyj+Hknmk
										5zfcwo+6LDPR2kr0SK/7EGS+hNY+Cp3zkH8ceS9a/hR6J6Mu5x8x/wUlDyP/G2j4FO5OQ7kCzU+h
										vAn525F/EjIleHoDnnI7nvIk8k8hr8uXQ95NPB758ciXShXgcmhACXgCyh/DKD1m8eMpFZDh/ARz
										O2odgmQYmjcgvx75o8gvQ34vt6FvMuQrUf4oeDHxOPAEzNcE6Wnw46g1H8/1gt8QRFPAspy40rKE
										+BsWeropivxdYDP4pGUNcRtLineA16BWKVhgNr8IyQ2WbxHvtHyX+D4uEc9xXvwQd9dCfjbk1yNf
										Bs6Dzvcgc7/0M+J86SfELqmTn8J58Rfgt1Huln5JbGdJMRM8B7VMyL/JbC6E5DyUKywv9kHD68i/
										ibv1uDsS8k+jbjf4z1KQyqstLNkjqZS3Wt7h0eBysdFymPi3ElmO6QGWET60vEklNvD7Rgmx+fPQ
										8wC4CHUD4HbwfZbP4u4LPErMpg+RPwH+LfhlqYHnKOMesInZ2gvuRMkD4Nn0rIX6DELyG9aPeB6R
										v0tn1LoLte5Crbsgsx13t6PkJEraUPI/2BLEOzhPbGJmDcSdKHkA+Y9gD2SfpvmQX4C6pSgRkBcs
										Z8FcMga8AeUb0JedyO/U82jhTrRwJ9qz00rRw/xz9Os+WOB9kH8UrToH/lBny0q2LtxdC21roW0t
										tK2FtrU8SmSB1AYznmvWn5iHWnno3XvQ9h769Wda7ogt58Ad4NfAvbhLvmYegXnsgeQp8CVwj+U4
										bOMa2wyXkB91gF8D94KP8yxD/rfQ+Vu9hGuJn0arxnNe+JBlyKI6wK+Be5kligYmUbc9zos2aHvf
										8q/MXCJ8mDEL8r/h9qAlD3CPTL1oQxFKilBShBYWoYVF+l20v0i6RD39sm7Jlqtsw3hKO+pORMt9
										4PusUch0gF8D9+K5j7Jts7zZojPG87fgl6HtZYzYYfYsikgbYNX7YKs6wwKR36kzNK9FPg/yeZj3
										PC6h2VEw8mDuHY2hgv7CZ5np6ecw/lyyFfbzOPiLiIEjLP9C/J61mng5yv/ALILJO/4Fs/w/2VtR
										chKSs+EFeeAy6CllNi9HfoNlNVpOtcyPQv9/Q93JkP8N8iXgN3R7RuR8HVH0XXhBBpdbr7NtWDfz
										uFnu4bqSn0fP+i7nrXbOm3fD8qfCnv+NOUPi/lpXSV3cWljXYoxbM7eH/NGOMR8HHoExHwcegZEf
										Bx6B8R8HHgF/HAcegbkYB2b5P6L9L0FzPvoeQGzZCc7TY5f1IUSqMuICbon4IefFtzCzlRkPcgSD
										vBn5k6jVpscotLwN/luqxxm+a34Rfv0iZDaA7wM/CY8+p3PGD5nprM5P5LuzYTmzERnWcwmtTax/
										Gu6W6VECdd/LeA4WQl5gGgeukH6F6MQyn0PJA9K78ME/EU+Gv1yx0spr+lcuJ4/4EyI/eYQ4D/nv
										c4S3dMMvBJa31CEOfICSEYg5b8PXbsugeCj+GP4iYfav82xSRPoAdv4BPP0DeO4H7KcGwweR75Tg
										m6zHpFh+T3w7M2k4jlp6/OEIcwl9WchtNtstPyau0WMd1kcF/WrMoB2U6UW91xxzSPMXue+snyLP
										A7wCohefN+LhcbSHuV1n67fBVxE91mO3wLHoQ9w9YTBHiVrr1xFDHoXPMj+VMRor9buIUe9iJGml
										Fg9KZ/Cs3yN+/olHBnd/CMm7kS9G5Bxn+SblL0jTiS9LfswdR9FH8dxHkc8Afxv9PQo2Wf5IPcq0
										aFjfWU8ZdimFGKsqPOUd8BHI/wwafqZHTjzdAf4jz4U4BpFzNuL5T5BfCZ5noR2maSb012PWRkHP
										OZQg8ounwC2Q38q9Fq9LzehjC3GxdILjCWReRY/e53aK66BhPffd8iiPkqWI2fwy2yTFJdJm/oDz
										Ugz5GLfc7MQsj0Ck+pMRqdiuPsPazPdyC2k15F7nol+/lk5T/hHpp5TfjpJytOT34K+iDafQrwrk
										61D3aWkHcZXEK/UqztO6w2N1GpJF5jsp/zto+xC8BeVPQcNjUhvx78HPWMjHTRLadg+e+Drkt0lv
										s71B53VwG8r/CA0V0HYc+RdQfshyBm1my/8G79ZoVxYjXs2RnMqrSP9z1gkk3ySxT/mYaX/ItZ7G
										+Gyy/BR+1wILZP4J795N91ufAz8BLgZngZ8Hv0Ss73VdkCwDu6xjOeJxXvyFwcXgLPDzYJZxQ345
										tC1HiR0lcy0cYzNRN5OfTlwMzgI/D2b5xyA5B5Jv6oy93DzomYeWK8grRr4YnAV+HlyPODOHRulJ
										7L37oLMP2l7XdUpb2MKhpx566qGnHnrqoaceo1HP2sxPs6S5Bvw8Wt4NPd3Iv43822j//dZ3MBo6
										6z19B60CW7Kh8x3UfQLM5S0WOvGZbOA76UzP8fApRDmKEqYalH+HWXwbea+lCt7NvBUlJyB5J3qa
										L20nXsh5k4nZPA35eWCFa5nvYKbVh+vmotab0H8RJRp7oqneMhE2zGO4gkfMOpl7aj3ILP13riX9
										iXfIlvc5b12MXcdjGMMkxtYE+cmoexL+W46zj4PPszRW8zBK8zBK8zBK8zBT8zBKnP8J2vMC5M3I
										349xVphp9GC9lhq2Uj65Uy94LfiOtJ9K8g271S0zC9ao22QxrCuLz2uY00KUz4POPvDrBvNK93pG
										FPIsM5JnjexhLHqns24PYyFTjLsvoeQltDZCMXaxmfyxz27+A7PlPkH86Of83uOjn1u+RvLf5RO6
										+bBlLo3n4xzhpa9w3vx98LdRvtkSIn6FJUXI0+pPLN2Lus8wW/2QfIvfTkhv87sLcxc0PMvvQ6Qc
										3P0Bar3KnHE3yodBQy94K+Tn4mS6kOfd/EOO3uYzyH8BPIFZGsXnWWk01uUlkP8xZvZXzJaNkJnA
										eWkkS5r/CVHld8j7cPdB3B3ObK2CBv0EvRU8Dc96kmOg+RV+42Geyuus+d+xK1iCc8FB3rebD/GJ
										mPZOJCMu5/EUN2BUF6DkG7xDsFyCnn3gTvC/gX8FPefAR8Ex6S8of4F3s8yWt5BfCH4D5+VrOB3/
										gHd90pPY+/3IyJuYeedG3ImSB3CXVhbrYxh/BZLZ4MetCeL90LAM/DudWQNxJ0pYw/ch+V3U6uUS
										qRcl2Hla/hnr4z9jR3oQ3AI+hR3mL7CTPIh97Cs4QffxrpJsiXfI3XhiHfiHHGktI6BzBNe1JJFP
										6nnWQ9yJEtJj+TqflDNM6JfZMox4BvRcQDufYX+XvgcNNoNZjw16bBif76Ev3+PxsTzO+YyI9Tvg
										ONsG9CR0xqjeBv1bue/mKPZ4v9SZ92/EHeDXwL2QoThmfQpz3QrJqRY6cVhett5L2j7HJ03zLi6X
										7tKZNRC/Bu4F27l3uIsTtPkQl5g3oO559krxNPbJXwWvBh/AfnIRzqTfxJn0a9gvLcfeAOd08RLv
										AE3roXk48sf41GyutPSx76B8AuuRznL7Jey9pa/ojPKvoLVfQWu/gtYu51ZJzXx2tv5v1BKwY8xH
										33HuNteCd2Of8AP0aDVO0C9hJ3YE+h/WGU95GE95GE95GPJHeFSlb/KzrGWWBeAOvNngWnfqjJIa
										jMY1jFiP5V34QgWsWme2zxI+O5O9UYlVs8A2kPeiRwn4VALyv7S8hxnRmUe4gM/RksQllkZpL1rI
										+UXI34n234mSXFhjO3imJY+0neOzsOXz1uVU8g6XW9bi7tPM5h8h/weWke7A2fkgZDpZ3pIF37kX
										/DzOwt/DKfgys2UE79MsSa5lrcRTJkPnT7E+/hqavw9trWAbn7ilXbj7KrwpD/wZvnsb3hRlzsLJ
										6y8cpS3zOL5lvIUYPpXzpv+Ds/lj8Kle+MsruhejxAoNH7LOzFnSOqp1B1aBP3MLaeR5dj7iczTF
										qxGYl3FgPl+vw/n6f3GeJMeBR8DTx4FHYL7Ggbnuq1aOA11oA95USHXWfF7jEK/eBicQQwr5JC79
										hk/f0g5mWgfZug5bX4Wds48fRL4XvXgFdbsQG3/IJdbjHCusfpS/BZ6P+NCFus+Cf5fxCLiNV0Au
										sWSwRWXcDflh4FehExHVvJnP2tIX+NwhvQDOw4r8nOX/snfucT5V6+Nfe6+992dmjOXSkCS5hxBj
										XJMk5BaaNEdCMUxo5DZmJKGOXCaJcktuR05JUiSV25EK6SZNkkolSUTllpTPfNfz3vu8Xpnv9/U7
										nV/nz/Pq1Xs/+1nPWnutZz3rWXvvz2c+FhNdp5CtfdADfV+evzbwxJfJWvs6uIS9z+p9nmTtGpTn
										oze5p/pBLL37yQMT5W4/Np/1eFbmMejMbM4WTXC9L/6pIE+1NsIlp/Guz10sjM2XPUjvltWnc+Up
										21JGsQ55Hat7isi2bkgprUvp5aysUL5H+uA1lKvYvdU+kXkteC77mPc5BUK7gp5nJz3FHipPTHky
										Fv892WGD7mTXn7gTWMpTzECe2n6R53SPd496iTyhu5MlwweDpc/+cXLCZrJrXzzwkcjuQfgepTcH
										JeAwuaJEkZ2Lg7IjUzoOHifPvEot3oLqi+WZ3Wak1fR8tWS5wMa8V5y5qAv7MWtjPcm3b8JCxv4N
										s1MRG57u9Uw4Fd6EPoMnuAIZqdcBTVXkRt77tC/PffjN+RRvJOONy3gSnyhP8d693ve2hwOo1Unu
										r/zDRMsb3m3kIhnvBupuoG4noqUCnj8Kp9Cf9czdpTw/PsyMv8ous5y5bonmeXmO8Hga9TZj347W
										XhT6HyKvJbcHyON4pg5baA4fkGd873PW8kVy1+p1k376vr9AMgb9nE+0rOdecbzeZvUHxZPBRxKl
										dicSThJ6X3syL38nz98rsv+dL3v9S+xWX2AzkEx4jjzZj9LSQv247JJ+vvQwuBEPfE5v98pTv1dM
										nvr1SJ6gj9GrLoz6csbVVnrlv40H/oJ+jYxCb/XsU4O3UD5x8xboT+iDlYOPaX8P9gOY5QHyHsDG
										uVzxA/RVkZ+IbKTNafIeIFBCb4m8DfDSRR/k0YeZ2FeQtwHuj7TfB6aj/4oWuonsP4ZcPbwKb+fq
										sirZH4NP8dV6yJ2wXgHHwnA9luE+dhP+1N6nVq4tu5J+A+/N5f1naa7SGbbCYzvJDOfJZmfxz1R4
										AzFWj2el9bBxJF8Na8MkeCul9tnHf5h7+O+xfAi+5C+37TdHrgunR6wNk6C0cAOWFXnSHC8abzya
										smiO84SbzzPmEngr3MWzPP1xn+aJ71HeLZySpzO71mwt9yksT3Hd++SO11tKm0ulrvcg8qGIV8Pa
										MAlKT36SdwL2ybeP9WRdxviyfKKtv6XN2vAO+Jo8+Xo1aW1qxKthbZhE6a3Qesx7X1oOtsinfpZP
										2RZep1a1iOKlNbTcXrxh/dwVjwkfYewV5X2CHYXV+J/L2wZ7FZE/Q67G1auJxltF31oI9UnPPl/r
										4d4/ZF3408hsUnqW0tNwMJr75Mlar4J3icZvg/1ofHs5PCW0meEF2Z2Rl8JDUss/L/T20Gam6PVk
										Wq4Evyc/TPXWWvaktBEeXgJnik1CDfFAAn7wH+F58yS75x6RY0PZQ1dR+jAeHo/3roEPEmNzaKGG
										tJmwRu6Igkd5Gt3gbbClo6PYts/R+vkoPjN5hpLImSyybSeTGc/EwyI3krcTXh5XWSTt2PvGehIJ
										xG15WI3+LOZa/f1SlqlC3QV/jmNO98O7sB+PfRXkPGb/FtEE1SRC/GXoG8Jy9HOqyO4xWngo6AVP
										yNxhc5/MftCG0k1oWtDmSjQ30fM8fP6a6IMtQXH6XBxvyLcvGhbaXUDpwreQn5PvD8DUwqeRa8Ep
										8m2EqPQZyHcJCscghywHZ6IP665CXkVrK+HnaD5H3ouN1bvZhfLOsyV8EObCi6GGe+EkoVNKqOJo
										UqES6vHIS+FaWDmU4/K++iB1f0WzAPam1hLkNJiCzXfIVWEFmI7+A7gdTRbsgiaB/hxD46LZRMvV
										0GTCIejDPg+hPy8jZ8Dy2LfF5hD8BX1n5LPIAXId+E1c8mF1rsuIHCMa5yjtXId9DVgd/Txswp6E
										9nvgXDTZ8SYSq6H/RXYvhnvh30KfI/cPfY6s4FK4Ni5r+f3Q56JxZsFfKV1A+2vDcSFfgryGUg3r
										h2NBdsKx0EKJaBSi/yocV/xd28LttJCFvmk4OuxT45Wspl88g1Fk0PMMephBT4Qp6H9Briy0182g
										5QyuJWzGtTrgz0tp/yQsz1XCOCFm9HRYi3E1otYjsFXc3p84YZ/rwVdhSRgTxsoJg1lC713YTMYe
										PIk+QWT9ShTDTYjMAfIJbBiZcfnc6jTyzHg1K5+JN2Y2DzGPh/C/8N5wls/vk1XG6FrGh8sqQ84N
										5fM7kYvhN+EkSifFb4bF8KTou6FPpZZCVpFcTNYgmqURh0OpdTOam0XjHMT/v0YcDosxO+2gyL2l
										VC/B5ruI0tpVeP4UI7omXDtxeQPWCv2JKFqsZ9zXw6g4/6uV84io1aLxz2GzXjR+OdZRh/N8bwEP
										z42XlLv9eFNZp+flXp0IdBaKb511aMYJbcvy9EQG0F1p/yzenoflXCKzKm3+cl4+EagXl72mM6MI
										8EYQyni+PKMuDjWsHu8AixGfoknED0ellsJv+rooYsWHt8N52NwPM9HkRa2Jby9FDj0/N6LYvBG3
										e4prGOlL+CeM+dr0/wg++THybTMrE+eW8hadSHYeg+9Bl7FvFR/aHjaDoiEf6ja08yF8h9bI/84n
										YqOOE8lV41Utu6Gfh/5N0ajD6EvAZGZhdrT2Zb560GalMEPCffBI/DdG2hTK5zXsIM5rcCX6MCrC
										PJlOy0fpySL09SXGPOLHOyj2fo1C6xMd5s8PpD/6B/Ghl4ecx0hvojTMdT+HeUDGaym9vQiby9GX
										xuZz5AbIL0T50PbWaYzmJxjmEMblNofdIXuHG/qWfOJ8BtmVnBXor4dNIK25neL2Tskln+jLsFwF
										2Wfd3bAvnIJ+BpZhHzagmQl/g29Fe5PMzpywzyJ7zyGPpdZwODjc3YiKgBirAwPqHkTeQ2kj5NVR
										DIgM3XAXroTmAzQt4R1cKwH9PrgJPbuD3Xl32f6T1Z04pfeiz4hWawatZdBCBnkjg1LRHEIOd+0y
										MLzfGERrb8NwTxyBzJ2Dsx6Ptcfyc/aIUuGMy+7gVkQehuUX8Esy/0DIPY93F2Rv9fF8wJ2SDudx
										CKPYXpjF6m4r/glnLdRH45IdIZ3stAlei03V84fZRzLgcLK6yO3I9t/AD8gYXdB3iV8Li+GfYvhf
										9LXJIZvw0qZIlr3gKkozIw6nt8VYTWLzcuTbdlD0d8DyZP6utLY9otS9HmbzychJPgF5gre1T8Rk
										x6+PXD84aus2QL6Ce+Cn+e5QZz6pbO4Xyrh4n/ONyO4nyP/gmT38dkec72BU5fPT7Tx19uAz1h7B
										LZIT0B8V2Q3lk35byWl89nqJPB2oVLe5lfN9eXOV5g2SZ3zvScudIru7PPk+yRqhPuHJ82CBWKpD
										QmcgtdoL/c1CL4D1PHkr2J7W0mlnOe9GWtLOb2ITdKduenhdobsPtvHKW57V90J7162zkHPR9xDq
										YXq/6EVWu4VOHUr3Cf0UbCbClfphS5cW2ngOYxH9GEhr/pzwinA/nADXaHmbWlvozkKu5Pe08kGR
										nVPyjWLbQ/tEoJNFo3Zo++SoPhO6G0Wvdoi93466ZcMWRO8m6A2ypvQ6yfZ6KXqpdVxK/SRslsPj
										6GsIrV5aSBP6S+jVWdgcTpB23B5Rn6294wm9vUKdDlfSQ+06Qnmro1xk13VF42ymlOcs5wDfmv5e
										YtjNl3zlTpZxufKZ8iKRnZOufE9vjyvvlqe54ywnuTY/O6XE3pkD50Mt1ONpYak71XKtKxFeWcu3
										j1rpqZJFReP8is0CrtibWkuQ02CKm2BtvsOmqivRXsG9SGbWlU8b24vsbIcr5d9wdLu4SbCsZAA4
										As6ARqir0UKmyO4Qt6KsKdfGqjtUZLe0+7msffSbsMzAsjx12zpyJ+bS2iHnWbl3cmpYTXXniJUL
										HLu63VKOfPNQi+zUcevTQzsWdc5LkR1TSh0f5ruNReO+YlvuRN3qsEYk77OMCdVpWpsH69N+dedr
										fGj94/7qjJV5QfMNLc/FJiZUx6WW+ll64n6iFH/j0EAY9BbK9+et5gXkt5BPIw9Cnm0j6pNgmeVY
										2ELoFxPqb+FKNJfAZKFbBT6F/R3Y9BMGcWzawkGUtka+D/l+LHfAM+ibod8gjLVCHghrYvMh8g2w
										KZq3kWciPwJ7oFlAf0rC8Lo+8m/0qj2a7XAftc4j74fV0QyF96JhvF4j6uYje5S+C0+i6YR8K3KM
										a00ROj8jh977mBYewOZG9HvRN0DehvwWfsAb+jm4E9aj1iexbPncIZwXkf1i8LJwdpAvgcnw+nB2
										RPbeCudIZN0PDoe5tDYunClqVQ7nC3lEOFNY7oBn0DcTxlrRck30H9K3htgzFu/h0DPY9EXWoU9E
										446kPxXoeVh6DvbES5uRh2FTCh6m1h7sw3msCC+mt8y1j5f8MAbCnj8Gw159Ss/DGP4Jy5H0bT3t
										Z8Ew3voTgfQtGIwl19Lvw63Y9IID0BxFNsKE/dJmApEc1KLuEFrDJtYNfRo9qRWuF7x3lFpvYpOC
										/hB1qyLTmv4euR3yg8hJyGFEjaWdlcxCnHG1hhvgQPgolrdTax0yERLczdjD9XiQ605Gbo7+GJZ4
										I3YPskutDOScMLa5+jOhn+Hl1F2GzHy5eC9YCBejCXPFzHC90EIDZnkbLEWfO2OTCVlTfjVk5sXr
										CpvQwi3IfWBHbArgl5TeBUP9FZAc4rKWvWdhB9p/DT4N52FDPnSXUOsIMXwcDXPhMhZvNWTNetdh
										uRZ+BFfRWl3k09h0h73RkGMD7ANyUew27MmrXoDMVQLyqncKskb0D8iMyM9DQ/70sNR42CUC9QFk
										Vpn/EjbLYZjTpqIPM+2rkHnUoVcnQbKi/zXyXJhIr67GkijSrAtNDzW7gzeKWmEkfIEeP8TIAH46
										+o3oWYP6GsjaD56nz9mQyPEYhcfMenjVDUcRzi+7Q0Cm9cL5oq5HZtDhtV6Bu2EYRWGGCTNhuB89
										RN/YU7xwXyMqdHHkMpCVEoSZ+Qai9xHitiRxu481Tjseq9LHz/pdSsnw3pUwzAPMr0886zn0ZzTt
										z4BEgh4Dw935K+RfIC0nkF0T6LP/IrVYcbEwp61Az+wElHqvU5fcqIdKr5QqbA7Lwedkx4nLp3tj
										YQuhX0yov4Ur0VwCk4VuFfgU9ndg008YxLFpCwdR2hr5PuT7sdwBz6Bvhn6DMNYKeSCsic2HyDfA
										pmjeRp6J/AjsgWYB/SkJw+v6yL/Rq/ZotsN91DqPvB9WRzMU3ouG8XqNqJuP7FH6LjyJphPyrcgx
										rjVF6PyMHHrvY1p4AJsb0e9F3wB5G/Jb+AFv6OfgTliPummUXgavpx3s9XCYi2YcpZXhCGo1RE/7
										3sOwL9RcdySsQAuh/hzsSd3NyMOwKQUPwz3Yh/6sCC/mivjcp7d+OBf0wXsMhj35lNIwln5Cpg/e
										elrOguG89ycS6FswGEuupd+HW7HpBQegOYpshAnMZgIRFdSi7hBawybWDQ36hDfRpFD3EPqqyNTV
										3yO3Q34QOQk5nMdH4e1o1iEzL8HdjCKM8IO0ORm5OfpjWDKu2D3ILrUykHOwfAb5cuyXIeNtl7EH
										C+FiNOGKYxV4nZEzIRHoV0PGe15X2IRatyD3gR2xKYBfUnoXDPVXQFacS+R7z8IOtP8afBrOw4bs
										4S6h1hGhcxwNPnTps7caEuHedViuhR/BVbRWF/k0Nt1hbzRkpAD7gJUbuw17spAXIHOVgCzknYJE
										sv4BmRH5eWjINh6WGk+6xIk+gMxa8F/CZjkMM8BU9GFeehUS1Tr06iRIDvG/Rp4LE+nV1VgSIZro
										1fRQk0u9UdQKZ/wL9Pghxhrx09FvRM9K0ddAVmjwPH3OhkSIxyg8ZtbDq244inB+yaUBeckL54u6
										HutXh9d6Be6GYRSFeSDMNmH2foi+kYG9cBcgKnRx5DKQVRCEmSG0Dz1JrvOuhKxHj7nziVU9h2uN
										pu4MyCzrMTDcp75C/gXSZgKZLYH++C9Si1UTC7PKCvR4PqDUe526ZCf1vtZK3onJd1eq+Um8jZG/
										727PG6EsLZ96L+U9UgdKF/m+kjdIKZbzeJPmisb9Dv100XuBWNpNyJc3J+h7Cf3dQq8e+lO0MIzS
										w8JgBHIWbE+bx0NLrp4vfwuvk+WNmbsIzYPR+y55+3eat2cdeZN2LnxjhmaZ1HJ3oXGxPw6XM8Zk
										oTuBkXbnndg23lalIafpl6WW2KhC0TsXRW/JLNVXvBNLpZ10arXhzVVz0TgXeQuUvCtbKauG0kWw
										hzA+rFD+MrdboXxTaGOhvJnsIW8w3F0iO3WQe1LaBnkT8l4sx4rsxGmhBqWvU2sPcumwNTQH4kvR
										SN36sB/6uFg659A8jn016v6d0sbItSkNkO9Enoxlc67+CZZHKB0tcjxd+uN1Dkeh5PuuZ0XWJbhW
										FeRhijeraDw0O7HfJww8JbFBT3RtbMohu3A/lgnIychdhDaGRF7OFdcgz0JejmVZuJS3Q4eQs7DJ
										pW5PuaJeF/VZSsdw3Xfo517kU9EVJRrrI/fCvl98g7x5E73aHZe3uO1pcw6lE6ibKP63GY/3omhm
										MCPZtN85/jR9EPu+IrvbpOe6jsg2ppvIbkittqKxdRfa0oXxddZXRIjzSlzejq6SUpu7nma8MqLa
										tHBAJfEOfx05UP5Os0p4FfkWhO2t9HwF+nJ4vgxj3CVt+qNp38RnW5u12MyIS+RfSpuG0q2wgfTK
										mR96T0bnTIKpYu/WiG/hujtldkR2NyLXgAmwvtBeayPyFq61WOKQK05UKbJ25LruRlVC3kziseNc
										MR39QbiNWV5CrZX07UvYiugilvz+aOJir/cXyqcJFQq/tzxJm9nhVcL5Yn2djVaZeCYfOSaU3/6y
										2ZUo8qbA1hIDQWMp9T+WPvjdCs8xF6vhSlai1L007InI1jPiq9OF33F3NIsVynXxVQWZO2cSfWuD
										Jlfmzs3Hb8uRm8dbin/iWdhkUTqRUUyU9s//gOYwn7tJC8mwjWjcWvLJjtcUDx9Hsy0+RqJXxuIc
										YS6+xD4BVo/LrxD4fB60QPqmU+JPcq1hrIgC+YyA3ip6eFlcPhXKKpRvAiQwxhcYdaLEldORWM0S
										D3gvhPMlV3deCaNLLANizI5uCzu7+LAaeeZAmDdkDdrRiQ9PSWmwSq7iFNBmZ3rVA3+Wpm591kJp
										0dunNj5xEPpJ0kPdlbXZQ+ZLnRMPWJ+sZBZuxFJG1CX+MfyKK9YmkqWde+OPUFd8PkJ8YvkcdfdT
										9zARLnFeXnzilIvzOQ6lt8VPI8tnMR4+34rNKuyXhcQn8/n+0lxKZ9NCM0Y0lWs1i77jsYU7K2ln
										Tfh9J9rPpM8J+PwvzMhyoTMD/7yj0q1PSpIf6qOZIFQ7xBvWY9PJY7NlrZFzWkk7do5+pW8+u4/w
										HeyPiyf9JTCVuStPdrpD7K23JRICrrIPn88iv3kS/zankc2Y3x5km0miUXyXTH0G1+KrVazKGsTh
										dOw3hrW4Sn/6c4TxtowycAt8K1fZRMzMCEdBOwmitzuUzzdVZBW3k+sGj8ovONkIl7+ze1O1lGdA
										rnKQ1T2MSKtG+yvlujbCfyU+S5C1UthrUtiV2FmIf0OceGShPtifIZtNpyf7VCp5bxp9Fnme3ZFs
										nOONcsSqK+3rXvj/lTA7RVmxHbtwEzJYU/ZraX8Blqfwxl20MDEahZWDMJ/PCNdatLvJ3xhOcN9G
										lh1hB75qzEgL4u+TpXey+jbgB/nL1u5C/0e+k7aOFmYR4dloWuLDKdKaXcur8ZvM9WE4nbgai74k
										624CUTFGZPUzO9p7aMZiXxCt6JXsWWHOT5WsQjwki8/VZ4yrTzj77NfLwlLy6h5WRzmy6ASYjSbO
										/liWu4jm7Cmb0ZDz/RVESCqeHMOn+bnEcAV2BO7WYtzP2B2c+wquVU58pQuiaC8ge6wjBypGEWby
										AvKAsA82W+LzlXxGP4xeSZ65mRa6YLOcGB6Ipgb270QcxrwMI9oLGOkwRreOXXgpfbaa+C+FB4iE
										dMZ7t7V8JtwxqTUiuisL79wkDt+k7gRV0cpbGON6+v+FMN5AWis8I7+FZdnP2gzn/d5h3sjxFjSB
										z55UkthY9uPTOtEoWrjNl++m9gxOy++kISchN0BugJwW7EOzBE0B8mT5XmuwErkA+TylxUWONZJf
										SEOTZmdPWvgIG4/fRvtYGJyVPsSknZSgrTA2R34hTf6aL744tlx+IU3k85tEjj8QzJdfSIv9IJ8s
										xy6GZ/kltG+k/VCWX7ew8i/o+fWz2DPIrZEHyu+k+dvld9LCMQYHxT6htMixJCx/o7cNaacvNuUp
										bc+4msJfGPV0Sjcin0VfA817UP5WOjWhMm224OqD+Uy8ANnF5q+0vBovFXBFl6tPRX6Zus3l28gh
										pf/Wh1+KPsEgN6eFUJ9KH+5AboZ8Jy18hX0J+gPpT2rYn2AW/dkqv2zGqJtEo25Iy32xuQ37qchN
										YYxa1yLzG3Sxu5AZb6wro5CrpCl6wq+uNQx8Snsge1zlGD6ZjKYhpXZ24lfBhjENp2HzDfwQy0L0
										DejzevrM3PHtQX3+OHITmCFXOb9N+nD+feQvhPF+sCeaw2J5fq14ONKPgsVgGdopg3wvbEKt9dT6
										Gnk7evxzfjHXehX92yLHXVpgxqM+nMBmP7Uqh5+iqyRnSsIRpTPvGZGtUu4cMeAuNS67b87dao3s
										QDent66kbF4sLFRlVLIKVAVVVZVW9VQj699WqqP6i+pt27hJ3avuV5lqkBqqRqnJkX1xFVOXqWrq
										InWVamxbuU51Uj1UH3vVdDVWPaD6q8FqmMpVU/j3a8M6RiXYjFPdZvT6dl+7WrVWndWt6nblqpvV
										feqvaoC6Sw1XeWqqKqt0h27d2quO6V1vrKT6dU/vVEnNo5WL+T3qy21Or2FbbGDvBK5XN6gbVU91
										h9J2h++uxqmJKktlqxFqtMqnTqKqpK6wbaaqa1Qb1UVdqR5CX06VtH6orMqrmrbdhqqpvStoq9qr
										ruo21df2u466RY1XD6o71RA1Ut1j9/GwB6VUMVVFXapq2RbS1LV2p+6guqleqp/dS+qqDDVBTVID
										bRbOUWPkd7IzU0dm6gzYB2bBu2EuHJfZNztHT4Iz4Hy4DK6Cr2T2HTlAb4U74HuwAO6DX2ZmDhmm
										D8FTQs+FJWFFWAc275896E6vHewM0/vfPXSI1wP2gf3hYDgM5sKxWSP6ZnoPwGlwDlwCV8C1cLNt
										uK+3A74HC+C+7LtHDfG+hIfg9/AEPAvjQt/LHpqZ7SfBkrAcrGgLR/jVYG1YHzaGLWBr2H6otNMF
										doc94R0wC2bDEUNH9L/bHw3HwYnDRJ8PZ8A5cAFcCpfDVSPtHPlr4Xq4Fe6A78E9IwfdneV/Bg/A
										w/A4PAXPjRySOSxQMAmmwIqwJkwdObJ+g6AFbAM7w+6wF+xvmRpkwxw4Fk6E0+Asy4bBArgMroRr
										4Ub4hmVa8A7cDffC/fAgPDJyVL+RwY/wDPxNGHNhAjQjRw0bGUuB5WElWAPWgak51pOxprAlbAM7
										wm4wA8qbG9fmnpR/46jtOr9UVfj/khx+ZPv/TV/Je6/A5sWE/9iZx1koO+ry/8Xif5Da5rli/J7/
										n5Ecm73/b5b+w3SZEde2KmdOtE8Jk/4wS/1hXva/WPIPsxI91Ryd31FG8Hud+ZfUdqcqq8r9m9LF
										SK7dn6r8W8eq/PzzHz9WVzX+jaNjd9J/zX/tE8fu4P+aJf4QG9i7jRy7689Sy9Ra9YYqUAfVKcdz
										UpxqTprTxunu9HdynInOLGeZs9Z5wylwDjqnXM+t6HZ2x7j57nx3hbve3enuc4+453SSLq9r6+a6
										o+6pB+sxOl/P1yvsGpRrJYQxq7sUOe9X5HxakfPpvzv3ipQHdpnvVTHnd+dJaReeJy+9sL45c2H7
										KT0vPC+jLmy/TEqR8xpF7NsXOe9V5LzIeMrsu/C8bM0i592KnI++sP8VllxYftnGC8+r1ylyXu93
										53b9Va9fpPwBzl2bH0qHI7yiW3isGY7cszFX1uaqGpF2V3TcFx0PRscf/y/r2mnRsWV0bB8du1/Y
										i9r5F47yysYXnteLX2h/VY8LzxsUmYXU1CLnaUXOdxU5313k/Psi58cvPG9Y+ndRZoXGKUXOG19o
										37hpkfOi5R2LnHcuct7lwlls1tHSWM9kOrNVlrOAbNvP/qfsSp0l38jwS7FXlFZBcgezLbm9ecNs
										MVutJnCOOces3Y/Oj8pxTjgnlOucdk4rba4z1ynPXG+ut/umxIOr22qZL9ct7ZaxGnttbaQ/urit
										Wc+el7VPIyPUArVNfanOOSm2Dwm2VynJNyk3uX1yumWH5JstZXQlbU6uZJ8W6ttnnhbmsNJuSdun
										7zhuM/ZJyy1jz49y3Gb2KNee7bXcZvZZ7lAeEVpeVTFf2r5usaVfcdxmDtjjVnv+Ncdtv7M8GFl+
										E1keiiy/jSz/2d9O9Lcz/b2R/v6zpAslXSnp9vsSs5MevkMP36OH/yzZRcluSgoocVXMtf/ZZVbM
										lb8yKemWtF4tY72qk9sl32C9vsVsUYHt01brKfuULWtR83mh/b+mrf+AHdUD9rSEU0KNd8o7l6kJ
										/FvJE52eTi/1oJPtDFFT+PeR853hTo56yMl38tUjzjzncTXD+cn5ST3qnHHOqMecX51f1SwJDTXb
										DdxAzXGT3WQ11y3lllLz3LJuWfW4e6l7qZrvVnWrqifcWm4ttcCt73ZTC90cd5Ta7Oa5eWqLzf5j
										1Gvufe44tdWd6E5Ub7iT3cnqTXeWO0ttc+e6c9V2d5n7sdqhi9uo+U2n6TQV1611G1WoO+gOjqsX
										6oWO9nK8vzmen+lnOqn+AH+A09C/07/TSfMH+YOcRv5If6TT2B/lj3Ka+Hl+ntPU/zCY4jRLujmp
										r/ND0uRijhNPLpnc1r0n+bbkRe7zxfsXH+yeLD6++DT3nHFNgk4wlU1lXcJUNVV1SVPdVNelzBXm
										Cl3a1DK19EXmSnOlTjF1TV1dxlxlrtJlTQPTQF9s0kyaLmcam8b6EtPUNNXlTXPTXF9qWpgWuoJp
										aVrqy0wr00pXNK1Na325aWPa6EqmvWmvK5s+po+uYvqb/rqqyTJZupoZaAbq6maIGaJrmKFmqL7C
										DDfDdU0zyozStUyeydO1zT3mHn2lGW/G6zrmfnO/rmseNA/qemaKmaKvMvkmX9c3D5uHdQPziHlE
										p5pHzaO6oZllZuk0M8fM0Y3MPDNPNzbzzXzdxCwwC3RTs8gs0s3MErNENzdLzVJ9tVlmlukW5inz
										lL7GLDfLdUuzwqzQ15qVZqVuZVaZVfo6s9qs1q3Ni+ZFfb15ybyk25iXzcu6rXnVvKrbmQ1mg77B
										bDabdXvzmnlNdzCvm9d1R/OmeVN3MtvNdt3ZvGXe0jeat83buot517yru5r3zfu6m/nAfKBvMh+a
										D3W6+ch8pG82H5uPdXfziflE32I+NZ/qDPOF+UL/xRwzx3QP86P5Ud9qTpgTuqc5ZU7p28wZ87Pu
										ZYO3L/lLkbkc55xzzmaxQqfQZg/ftc8BrDOfdRawzmJuebe8SnCruFVUolvTramSJApVMb+f308l
										+/39/qq4n+VnKeMP9AeqEv4If4Qq6ef4OaqUn+vnqtKmkqmkLjJVTBW7xquZaqqMqWFqqLKmpqmp
										Lja1TW1VztQxddQlpp6pp8qb+qY+/wZKQ1XBNDKN1GWmiWmiKppmppm63FxtrlaVzDXmGlXZXGuu
										tdlK8m9V8m81c4O5QVU3vU1vVcNkmkx1hRlgBqia5k5zp6plsk22qm3uNnerK80wM0zVMTkmR9U1
										uSZX1TOjzWh1lRlnxqn6ZoKZoBqYiWaiSjWTzWTV0Ew1U1WamWamqUZmupmuGpuZZqZqYh4zj6mm
										ZraZrZqZuWauam4eN4+rq80T5gmbrxeaheoas9gsVi3N38zf1LXmSfOkamX+bv6urjNPm6dVa/OM
										eUZdb541z6o25jnznGprXjAvqHZmjVmjbjBrzVrV3qwz61QH84p5RXU068161clsMptUZ/LfjeS/
										LjZ3vqG62ty5TXUzO2z2vMnstNk23bxjs+3N5j2bbbubXTbL3mJ22yybYQpslv2L2WP3jB5mr90z
										bjX77J7R0+w3+9Vt/PsjvcwP5gfV2/xkflJ9zElzUt1uTpvTvPcKn68clUaurWVjy3d6O72teoAz
										QDney97Lyg3OB+eVTmiZ0NLm4f9G33+j7z8dfeWJvtpyt+UMCj79b4z9N8b+QzHm+IPt/XxJp4qb
										ptt5PVQF1Vy1Vh1VuuppnxcG2/v3MfbOMl89quarpWqFWqPWq61qp9qt9qkD6og6Ye/slRM4yYmj
										lU4cmZiTeA/HUYljOOYm3ssxL/E+e8yx0jiOOYnjOY5KnMAxN/F+jnmJf7XHUdZuIsecxAc5jkqc
										xDE3cTLHvMSp9phr7fI55iQ+xHFU4jSOuYkPc8xLfMQe86zdDI45iTM5jkp8lGNu4mMc8xLHKteW
										PmA5KnGKZW7idMu8P+GR2Yx8ZOKcyDNzI8/MizzzeOSZ+ZFnnog8siDyyMLII4sjjyyJPPK3yCNL
										I488GXnk75FHnoo88nTkkeWRR56JPPJs5JGVkUeeizyyKvLI85FHZtnxj0xchEeW4ZEVf9IjqyOP
										rIk88mLkkbWRR16KPPJy5JFXolh5NfLM+sgzGyLPbIw8synyzObII/+IPPJa5JGtkUdejzzyRuSR
										NyOPbI88siPyyFuRR3ZGHnk78sgLeGQdkbIFj2z7kx55N/LIe5FH3o88sivyyAeRRz6MPFIQeeSj
										yCN7Io98HHnkk8gj+yKPfBrFymeRZz6PPLM/8swXkWe+jDzzVeSRryOPHIw88k3kkUORR76NPPIO
										HtmNR/YSKQf+pEe+izxyJPLI0cgj30ceORZ55IfIIz9GHvkp8siJyCMnI4+cjjxyJvLIz5FHzkYe
										+SXyyK+RR36LPHI+8kg8ipXC0DNJKvRMkhN6JskNPZOkI88cxiPH8cgpPHJOIkX+DWDpN2/Teqha
										zm53se6su+osfacerO/SI/Uonafv0ffpKXqqztcP6Wn6YfsUfEB/rQ/qb/Qh/a0+rL/TR/RR/b0+
										po/rH/SP+id9Qp/Up/Tp4o3l3+hzdjm77AUWyd/m6066k3J1F91Fad1fD1CeHqgHqUCP0CNUgs7R
										OSpR5+pceycwWo9WxfRYPVYl63H6r6q4fkI/oS7S6/W7KqV4o+KNeMtQXiV5Fb3LvUpeZa+K9z/s
										fQdYFcnWbVV196lDd58mRwETZoEDKOaAKGYMKOaAgIqCKKKOjhEVw5jGiIIIKooO5oBZEcecA4iI
										OQfMEhR4uwt0cMa5d+59b+59733/Vx9V1eHU6V27aq21q5s+FXkHvhJfma+iWgZX9IGtrhfrFduS
										tYka6jH4TPHaNeaCv55RteSMmuraFBcMRxBvxqvv8a3KV0VSqc8Vf68Zb85b8Ja8FW/N2/BleFs4
										97fvJcgBGfImvCkv8Bqe8lregBd5iZd5Ha/whrwRr6538WDbJLhI9TOEb8Q3RjLvwXsgBY65Iytu
										HZfIJXFbuGPcr9xx7gR3kjvFnebOcGe5c9/rcXW1jEvgEqDF9Zz6vNUv3C/Q35s5wFHouVT4vnvc
										86+tJ8BZv8DRfdx+7gB3kDvEHeaOcCncUS71ez5mra/j1kHriZz6tpAkLgla38IBOsMVnoPWVTvU
										1p2Q2Xdb/Y4drM/ulfSZ+rm/OLrY59TRAJ8ThpGdaCqahqajSDQDzUSzYF7/hOawX66ejxagn2GW
										L0KL0RK0FC1DUWg5zPloFINWoli0CsWheECANWgtSkDr0HqUiDYAHvyCktAmtBltQVvRNkCHHWgn
										2oV2o2S0B+0FrNiPDqCD6BA6jI6gFECOVHQM/YqOoxPoJDoFOHIGnUXn0Hl0AV1ElwBVrqCr6BpK
										Q+noOsoAjMlEN1EWuoVuozvoLiDOffQAPUSP0GP0BD0F/HmOXqCXKBu9Qq/RG0Cjd+g9+oA+ohyU
										i/JQPvqEPqMCVIiKYBhj0ol0Jj6kC+lKfEk30p30ID1JL9Kb9CF9ST/Sn/iRAcSfBJBAMpAMIoNJ
										EBlChpJgEkKGkVAynIwgceQ6ySA3SCa5SbLILXKb3CF3yT1ynzwgD8kj8pg8IU/JM/KcvOBE8pJk
										cxJ5RV6TN+QteUfekw/kI8khuSSP5JNP5DMpIIWkCCBI/V8MjuM5gdNwlNNyBlwnrjPnw3XhenN9
										uP6cHxfCjeCmcdO5SG4Gt4hbzsVwW7lt3A5uJ7eH28ud5y5wF7lL3GXuCneVu8alcencdS6Du8Fl
										cje5LO4Wd5u7w93lG/AN1d8E56/y1/g0Pp2/zmfwN/hM/iafxd/ib/N3+Lv8Pf4+/4B/yD/iH/NP
										+Kf8M/45/4J/yWfzr/jX/Bv+Lf+Of89/4D/yOXwun8fn85/4z3wBX8gXCTrBhHrQZtSTNqctqBdt
										SVvR1rQNbUvb0fbUm3agHWkn2pn60C60K/Wl3Wh32oP2pL1ob9qH9qX9aH/qRwdQf0iBkAZBCqJD
										6FAaTEPoMBpKh9MRNIyOpOF0FB1Nx9Af6Fg6DtJ4OoFOpJPoZDqFRtCpdBqdTiPpDDqTzqKz6U90
										Dp1L59H5dAH9mS6ki+hiuoQupctoFF1OV9BoGkNX0li6isbReLqarqFr6S80iW6im+kWupVuo9vp
										DrqT7qK71d8Vp3vpPrqfHqAH6SF6mB6hKfQoTaXH6K/0OD1BT9JT9DQ9Q8/Sc/Q8vUAv0kv0Mr1C
										r9JrNI2m0+s0g96gmfQmzaK36G16h96l9+h9+oA+pI/oY/qEPqXP6HP6gr6k2fQVfU3f0Lc0l+bR
										fPqJfqYFtJAWaZEW0wS6jq6niXQD3Ujf0ff0A/1Ic8QfxLHiOPFHcbw4QZwoThIni1PECHGqOE2c
										LkZKP0rjpQnSRGmSNFmaIkVIU6VpUqQ0Q5opzZJmSz9Jc6S50jxpvrRAWiFFSzHSSilWWiXFSfHS
										ammNtFZKkNZJ66VEaYO0UfpF2iRtlrZIW6Vt0nZph7RT2iUdlo5IKdJRKVU6Jv0qHZdOS2ekc9J5
										6YJ0UbokXZauSFela1KadF26K92XHkqPpafSc+mV9EZ6J72XPkgfpRwpV8qT8qVP0mepUCqSkYxl
										InMyLwuyRr4vP5Afyo/kx/IT+an8TH4uv5BfytnyK/m1/EZ+K7+T38sf5I9yjpwr58n58if5s1wg
										F8pFOqTDOqLjdLxO0Gl0VKfVGehEnaSTdTqdojPUGemMdSY6U52ZzlxnobPUWemsdTa6MjpbnZ3O
										XldWV05XXldBV1HnoKukq6yL1sXoVupidat0cbp43WrdGt1aXYJunW69LpHdfWZr+2yNfRJZRQBB
										2cp5PNcG+P0a1x74PZ3ryfVCGVxfrh/KZGyaxQ3nhqNbwHhT0G1uIbcQ3eeiuCj0gDH7Q8Zbjxhv
										PWa89YTx1lNuN5eMnjGGeMHX4+tjxFbgiSAKItYLRoIRdmFr7K6au5pH+AnV01o4m623vxNniNGE
										iAniYWIpnhJziStbdR/A1tvXAdu/RQbIClUAzvcGBbQCGOAQoDN8hTQdEeUUqyWxmnqPxghZIFvp
										BGynSychz5BOQZ4pnf16bjrUUpAW9IQVsgcFUL347pGUoe6XMiE/I2VBfk66DfkF6aX6ScVcbVGx
										UFtULNUWWVsFrNUv92gMYOtXRYT8hCJ9c8SQHTFiR4y/OWLFjlizIzbsCEEG4DU9+K4uUZ8zb0Aa
										IEK8iBfiSGvSGvGkA+mABHGRuAhpxGQxGVHxtfga2iNCIrn0N3Hstwz7/ze//mcYVuXQv8qbfydn
										mtAAOpAOpj8CA6nM2QI4sx1js07ATPMYT3YHjlTZsZgbA/8iK47/J3z4RzZcDjz4GwOWZpf/29jw
										K9sBL0YBf5dmRQ9QH6r2KFYequ7oCMojr0R3fALV0QMURyzTHKtAceTDqPWFkdpPHZdfuJOEfMub
										spFsLJvIprKZbC5byJaylWwt28hlZFvZTraXy8rl5PJyBbmi7CBXkivLVeSqcjW5+nfZdvr3+VYx
										UERF+kusm/RH3lUMFSPF+A/se0I6KZ1iHHz2uyycDjycIWVKWdLtL3ysWCiWjJNf/ikrF/yRlxUr
										xVqx+bfY+Rtulgv+A+zsjQk2h1DWBldFZrgj7oIqsnvuVXFfHIhq4EF4EHLDQTgI1cJDcQiqjUPx
										OFQXj8dLUHO8Aq9EffEufAENIGEkHE0go8kENJlMIlPQTDKVzEA/kVlkLlpA5pOFaAm7e76cLCWA
										9izGj+VkzgSt4sw4M7SOs+Cqo/VcTc4ZHeBcuOboCGP8q4zxr7HoLY1fzV9AzwRjwRhbCR+Fj9ha
										yBVysY2QL+TjMhroLmyrmaWZi+008zWLcAXNEk0UrqJZoVmJa2hWaTZiZ02SZiduoNmtOY6ba05q
										LuKumjRNGu6rydBk4n6aLM1tPAC0QQEO1BSBNoig7rQB3kMb0Sb4kLaatjpO0dbUOuNUrYvWBZ/Q
										umvd8UltPW09fEq9f4ZPa5tqm+Iz2mbaZvis1kvrhc9pW2tb4/Padtp2+IK2i7YLvqjtpu2GL2l7
										anviy9p+Wn98RRukDcLXDSDsxxniANEf3xADxcH4pjhEDMd3xNHiaPwceDYavwCePYw/AM/m4kKJ
										SL0IlfpI44ifvEq+Rybp5upWkNTi51sgGt3M7rj0wQNL9uwutQej+khToj0qg6apBccTIKn5ZlAF
										CaxUtw6WbB2ErSxI6lM2NXANGDVOWP0VxLq4LrTZErcEcmmL2yIeR+Eo9pTNSeQn2AhlBFvBTrAX
										ygrlhPJCBaGi4CBUEioLVYSqQjWhulBDqCk4Ck6Cs6AXXARXwQ1fwVfxNZyG0/F1nIFv4Ex8E2fh
										W/g2voPv4nv4Pn6AH+JH+DF+gp/iZ/g5fsFzPM995HK4XC6Py+c+cZ+5Aq6QK/rf2ceDKTxhKw08
										+28FY7b2YwWJQ7aQeOi5KmBpTaQ+l+YMSQu9Wh90YkNIImoMSULNUQsko7aQFNQNkiHqgXqCPuwL
										yQQFQDJFgyGZoZEoHJmjsWgcskSTIFnD7CTIBhtiI1QG5qgNssP22B7Zs6djysJ87YjKwXzticqz
										u7oV2EytiINxMHJgz8tUwqPwaFQZT8ATYE7PwrNQNfwTnoOq4wV4AaoJM3gFcoQZvAs54SM4BTnj
										4/gEcsFn8VnkxtabarGZ5840dRu26tSXrTr1/7oWdqxkLcwResqOuBAXUIzu6vshSXPSHBRjG9IG
										FGNn0hkUYzfSDQmgewKRBhTPUFCMM8XZSCvOERcgSVwnrkdG4gYxCZmIaWI6shAzxJvISrwt3gct
										PV6aiMoDe0xDDiozoGrADPGohorjyBlwPA25AHpnodqA4LeRO2D4fVQHcPwhqgux1WNUD7D8KaoP
										eP4cNQBMf6n+tyhcXwPS+6stp0tscQJb7L+xpR6pB+eqFnGkI8QyPLNIYBZpQN/1RJTZpQX1NgIZ
										MLtEZpeO2WXC7DITN4tbwaLt4m5UhtlYjtlYQXwsPkWVxefiK7BLtdSJWerCLHVnltYF/kuA+GA9
										RBlNmNUtmNUtgZc+orbASgUQmagWtSZDSu6+toP5GcAsclZtxJ3ZvEdf9yC2lknwYNz06z6Cu+Ca
										sGX29TyYAd/pi4akIfSF2iM887HA+kXD+oWyftGyfjEA3dsHiax3JOZ1mfWRTuwh9kAKROYTkSFE
										XwvB94vFaGQLMdhu5CDuEQ8jd4jEXqHG4hsxFwWChpiBQkAtLEDjQB0koQjg/l1oCXB9BlrJfL+H
										+X4vMPhdtI+NgP1sBBxgI+AgGwGH2Ag4zEbAEWD2VygF2P0NOgoMX4BSgc816DxoHCuUBrqmPLoF
										WqY6egSqRELZoC6M0RvgeBuIAAAJIUIagZAaQaJm6ioD6qQ+t4V8pB/lFug8fMYOL2dPOXK/eQSx
										/4qEaE8ddR1LeUT/m0dQF/U/kUv2EdSU3T03+3oeQZwYI66Fbz4inoTRliep4xf2sji7+HrKsyvR
										l3w7gW+x+XeQFT5pznAIMRzCDIc4hkM8wyGB4ZCG4RBlOKRlOGTAcEhkOCQxHJIZDikMhwwZDhkx
										HDJhOGTKcMiM4ZA5wyFLhkPqGzOOggUyacXtg574Z/dhCBaxCVxlBVwdu+L6uBlugzvD1Q3AQ/Bw
										PBq0SwSeiefhxfCtcXgdTsLb8R58CB/Dp/FF6Jub0A9PcDZ+j/MB/DVEJibEitgTB1IdetcdVwfr
										q0JfOLKyJ7CfWvbB9VjZF9dnZT/cgJX9cUNW+uFGrByAG7PSHzdhZQDMPLUMxB6sHIibszIIe7Ey
										GBhVLUNxB1auECzVkt8tWLEyWbBWS+WTVlJLwVQrq6VmrVbHyoNahZWHtIasLNAasbJQa8zKIq2J
										WoJ6MWVlE0PMvmcIrgZIYAg8T2CrJuQ9ge1V7QB4AFbCGAQbXSDvj10h98NukA/AoCPAttqQB2B3
										yANxHcgH4mbqsx/YE/KhuAXkwaAXCFjVCvLhuDXkI3AbyMNwO8hX4PaQx2BvyKMFM0TAXnPIkwV1
										5eOTFhwDlsKoBjt5yA9qQW+AjRr1aSYthbxQq4W8SGuACNgG6kfbBFWDWdUb+DYYeHY8Uv//fjGK
										QWtREtqJDgCPnUVX0U2I/F/A3C65nwcjyQrGugOMJT12xw1hNLXC3oCQPcHugWDFRuitFdBDv7Cy
										D05iZV+8iZX98GZW9sdbWDkAb2WlP97GSj+8nZUBeAcrA/FOVg7U2qkl2GivlmBlWVYe1JZj5SFt
										eVYWaCuwslBbkZVFWge1BIsrsbIJjmX+W8U8F8c8F888t5p5bg3z2VrmswTmxXXMc+uZ5xKZ5zao
										/tCasR43Zz1uwXrckvW4Fetxa9bjNqzHy7Aet2U9jhFviNhT3RzDCsRmOjZU/0VDfY+3N3umvipy
										BS4uWYnCFmysWbIxYqV+t9oKtv5aG6yOJBV7AU+WsrHCcvUOGTYChELYHKu/Qq8iEWH4onKaFZqF
										u+JuuAfujn3xYLE7sE/P4nVhMopMJDPJEm4Ft4HbrnxWCpRCpQjwdaUYK64S48R4cbW4RlwLWJsi
										HhVTxWPir+Jx8YR4UslRiMIpvCIoGoUqWjFPzBc/iZ/FArFQLJIA9qSfpYXSImmxtERaKi2ToqTl
										0m4pWdoj7ZX2SfulA9JB6ZB0Q7op3ZLuSPekB9Ij6Yn0THohZUuvpbcylbWygSzKkizLOlmRDeUa
										ck3ZUXaSnWW97CK7ym5yLbm27C7XkevK9eT6cgO5odxIbiw3kZvKHnIz2VNuLrdQZEWnKIqJYqqY
										KblKnpKvlFFsFfUeZGUW9SEW6QmgHNoCpw0hwcDa4RDRyWQCRHQ69vSzwuI3QxaVGbG1V2NuG7cN
										mWi2aLYiU02yJhmZa3I0OaDbIFZBlmqsAvrmlvgQVVMjFlAzM4G760PMvgt5QrSdgdpBxJ2J2jPu
										9mbc3YFxd0fG3Z0Yd3dm3O3DuLsL4+6ujLt9GXd3Y9zdXSoE1u4hGwFTD2BMPYEx9WTFHJh6Kti5
										D/X8Kx799zz4t/jpi4dE1puI9aYB60cT1o9lWD86MMsdmeXuzPJOzPIuTKN0K478BFHQsVnYBqnr
										us2Qfenx//tR/OfjsXjsQAvGbKQgNlI45mEN86fC/GnI/GnE/GnM/GnC/GnK/GnG/GnO/GnB/GnJ
										/GnF/GnN/GkDfrNEZUquXhKUUlevgN4smbHqnGfjFLFxitk4JWycciWflQXDUp+1AlXyFQW+zHSG
										HGwWsJEssJFM2UjWFkex+A3+iD+VqAFjYkHKkIqkGtda8BcChUFCkDBSGCWMUcorFZVKShWlmlJD
										cVScFRelluKu1FXqKw2VxkpTpZnSXGml9FUClIHKYCVECVVGKKOUMcpYZZIyRZmuzFRmK3OV+cpC
										ZbGyVIlSVigxSqwSp6xW1irrlERlo5KkbFa2KTuUXUqyslfZrxxSUpRU5VflhHJKOaOcUy4ol5Qr
										yjUlXclQMpXbykvltfJWea98/J9nLv/nmcv/Q89cEmQEmn+gYKp8As5v8peeKYeZiIdobpZ6Alir
										PitT8lTNP3xG5utzNNAGaUT6fo3Zi/e0BQT6EvMS/F79tQhSm9SFMzxhXwfSifiSHqQ3CQCsGg6o
										N0G9p/W9pN7HKp2glW9T3T8m9a5X6aTeI/tu8vxd8lLvoH2TOvwxqXfTSiew5U8S8ME3CWz+NvX4
										XgL++CZBL32b+rL023bA79IgSEP+JA3/XpIKv03AWt8m69+lCt+mEvuKr5e18D9rE3+yNoHRLeDP
										hsD1rUBld2HvQfny9hP1TSiz0QK0FKKf1SgRbYb4Zx86go5DBHQZXYf+07N7vf9qXvffyjv8O/l3
										1z+KV0dkKJaqcQ/yUGMB4DoLFj2o9zgwrgZxNAG2V99PuBQvg3oUVt9vGQuRF8G78Cuov8ZvIF55
										C2iCgS0/Qj0H5zHO/AT1z7gQ6kVE/f0hQnj1fYlEA3XKfsFHIhB/Ex0xZP8JCTE2MSHq2+HMiQXU
										LYn6zjEbUgbqtqQ81CsQiNyIA6kC9aqkGtSrs18LqkFqQL0mqQl1R+IIdSeivissmkRDPYbEQH0l
										WQn1WK4le5dva8RxbQRT9Y2pAtgr2Ki/nyV4CS0RJ7QS/KA+QAiC+hD1l+iBq8dA/QdhGtSnC9Oh
										HikcUd99LaRA/agWkFlLIIok2soGQxE2CDYApWcQotuAsG6jDqJe3S+6FKgf1f0K9eOgVLFiDzqD
										AzVZxCI8QGVDYlip+H+cmWcIGlDyn7m/aRDMNAhmGgSX+g9SzDQIZhoEMw2CmQbBTINgpkEw0yCY
										aRDMNAhmGgQzDYKZBim+QsKUCGZKBDMlgpkSwUyJYKZEMFMimCkRzJQIZkoEMyWCmRLBTIlgpkQw
										UyKYKRHMlAhmSgQzJYKZEsFMiWCmRDBTIpgpEcyUCGZKBDMlgpkSwUyJYKZEMFMimCkRzJQIZkoE
										MyWCmRLBTIlgpkQwUyKYKRHMlAhmSgQzJYKZEsFMiWCmRDBTIpgpEcyUCGZKBDMlgpkSwUyJYKZE
										MFMimCkRzJQIZkoEMyWCmRLBTIlgpkQwUyKYKRHMlAhmSgQzJYKZEsFMiWCmRDBTIpgpEcyUCGZK
										BDMlgpkSwUyJYKZEvrwf5OvbQmz6QmnG9iIbX32ETWeNQfXIVpE5OkxJXISNJ+xqQjB2kfQGGqGG
										whEbAen9NGINDeZxRB2C+TgffSd9zVJ7bFfbT7Zlt3Maog5oABqJQgFEA1E4/Km3dxrry5dqjDc7
										vNY9z6s/cY1dfCnHr/Cz4LPI9FJchLmjPoKP00dwM+M4ggkR/azPLmKXPVCv+3qRWIDLGcuujuvK
										a0xJVx8XU72xuqE1Fbv5jRwcNGxQeOgwFyO9ou6kprRzYEBI6LAAF3u9rbpHNDVvH+QfFjoydGB4
										Oc/QsOGhYX7hQfCJivry6nHO1Kb08YDAcj5Bg4ZBq+U6enro7S11Li4uehe9q97N1bV2T9h007t8
										3dRPmfq3XJtOL6nHJVO+fYeOnb+czv3J6foIXKF0n2EBcREAN7BfJBEYo+xehyYYO9yP1NwZWNRq
										l+VB8mCn7Po6rPEEpxnp3vHb1ns65wTGutx1dWmxOT3FYVr5dKdd0ybm177iY5u+u5N9h/MD9z5P
										lklBtd6bEmd8PF1h57XD2lEfZg+f75/+arb90/meDgE9r8yYsCCkQdLoc93cJzw5YOSbFPV6Vh+n
										gONbKhv0tfc3f9PosMX85TNJqj45Repf1jDsbFpyYm2TyOh4SXy0qNe8/C4xKe+s+zWba7LKrsmC
										5CqmU61dI+zeZcy4Wn57w9W7aYd0h43Zcz/syMjPq9dh/dO3W3p0fn/TI9rZeLh/1rNbG9+ElOeN
										fNz2b+/w612f7R6BLYfV+XjgabSFx89DnXrpUwkHE2JNBLaDHrHWm0Jf2lXiZb2o0cKgFgTKcXo7
										dacCYtusTGflnXH15COzUo2nNLq6tPveNT7DmAPtDAGYeR5YbbK+rLpdkbfSW0w2O2P85PTlnRbd
										8ak6Tm4WFnvbrRDL6n3VE8ryHfTt9W3jWse1jGwxODx8eH1nZ/+wYKeQL1508g8NcR4+NEjd6zw8
										LDRglH/4SGdwMgxEGIYwAvvp6zq6uTi6whB0gpP0Pb9cM8a8t76dvs2XbT2JbFzyFWPGjPneVwSG
										/cO2w3837Th15CT0cg/e5B0dZHI/dDaJDhqTGhwQVnVmRqMWITWtfrxa1dn0Xo8hZY5KtZJnFzzb
										u/gFdXk05P0o/sr6G33ra2KNCjboDsZ08gwtGrQ45u6F8a8dttY+O7VP9o0joe6tj/QUu30ceTf2
										3X1tuwaNnc9ePpfdocLwHL4sWdc2es/83jMV98XBbnTPhk2d4i4evTmvgsnB1NsR6b7xOVmvE8p1
										MzJamZ0UGR48Ijrl9dujw/uuzwxpX6f78vZjm16s1adnpc2Dnpfx9tJsnVOt7Bqj+Qluqypey93l
										NeFOtn/UgraNhUTnrVY7eqzd4uEzTysYOVY/VV/TztZpg0sn34CkFWeTlkVVm71swYxnK3cDRu0D
										jFr9BaMEU/diLP09Ro35W3CgPBtoMPGtfjveJSgk0NEn3C9k+G8Ipa/jWttVX8vVpY6KUK6AT182
										9VN2/CcQqoq+UvGm/TDPoOGDA8PKNfdpUa6Fj3d9l9r1PB093LzqOLrWrqN3qaSvWGyR7Xct8gkM
										Gx3kH/hPES2mVpT1KYNq/suJxajEmd0mxO/f4GHyOeDnhDThh8Njbr54tHlPR+8j920OvkwuyC03
										e0S9jWELw1bNNnho+upnj5d+lYZ22pSd6LnLr1nNlW/ttl3+nPzhxzUjR5vuqLEmc7Hf5K7xhiFZ
										119YFE2ftDR25iTkNG+cw77BK+cfP/1+wdhxd6NfafpMzHVKHWIe09DM+fG1xScrlOl0ZkPXyPLJ
										Pd95mNRb9brrBu+NlWr4f/o5rKHh+CNLw26mrEnRnr7166ldR8R+CTHSxjCxj9h0glPUxV+2z5wf
										OfnJhEuHug69073mSfcmeY+MU197CtN/4Cwf1lxfbfyVe0ssUXDmzU0NreuTOxMGXD3/0a7RF0Qz
										gB4RSoHXx6k/lZthnD31TOat6asvD46s4xe+4BuwqlgrN6Oz13DxZdNPoz/tqLE1tfYOQ32XYrAC
										qNIDVMW1iPT8l8Cq+LDqReZEGJUMqrqXgioAKn2rUlDV8K9B1XdbDv8egmu/h14D3gu6Do/LDI14
										3Fm+PXZOYtcpbsuurD19qnBLq8wfb4SOq9rhxMXkWdcvrVt+9mdf1KDuk2RX5+y8C0Mzom6lkQ/N
										unceOu9G05sWcTuuHq5sfqZVs7NXCnbmP2g+a6BhM6VvDr+qYqteO2d5HLsRnOv+vslRe/PbUe3Q
										se0vbvXD2DNmT7O0CicXrYg9lWA16HPLafY/94l+Ozpn27wwu8mjG7obe52eWL/Vuy33W3+0dJu7
										H/lHxHRb47s+ddiCNY2XJH8OuNTH6qiEO/qv//zu0uTYafdda2V1W9J0TcjEG8+demp3Gmn6up4y
										eOoaMcJiff7xLQOjZuVlxO7qZ1RxzZjJb9unVUVhHacfeKiPEA4Aeq39gl5ulW0Yern8Hr36MVgQ
										DRZWnrXobc0AbG3BgS9crPWW3+w0+OoqF0d9jeJ57PDbPO4cGgogAb4LGhjk7xceWM5jVPjg0LCg
										8LEMpfT6um4urq4u9dxcAaVcSzZd1c3/psT7Z1CzPaxHb2t9wGG7Ff3LlWu2fLRPcOMyaaFnz7x5
										NrRwmYXRndv1w6faJDvHub4ounW0mXfFa2Eos3Y3cdbpzeVav389OKl927kJB8e2HRHdkt4oqHR7
										5aiZFzaObD4pfUrmu4Nv3dee6t3i5pZNje5UHbzMZn1C2EjfN5aLHxTUXhwWlza6n/2YFlOn17W4
										OLKXsG9Q57kJ24Ocb1hLhQvDq90b7dwly0zfI/fy3AEFZ07183LpuLeK6YOm+gth1YyqVjhRx7tR
										nGujBefi62qm9/b2jahaXXBNbpvewf/xZccBb1o0epykRR+94mMv9ZpT2efJuI1t3npdqNOwbuzO
										Mb0TLGPnnjGe79swJcmgH3flC9T0hR7pqTdUp56pKoQEPQdFKez5rg6SmHBSVROO1JtoDEqiCHPM
										C6xhoIOv+4jaSsElF+8rlWcvuRvVv0GiS+i6hgeuO+qtv55kRnjZXkQ+aBREHp7I4xtwU5Ii+jf1
										rbLsYSXTz9Xvij5LejxYq+9YDG6t9S31LeI84zwim/x1cPt6OAyGtopKDNi6lAK2VnovffNSwFb3
										XwE2dcJ4Frf6R/VFMOpRr/Gkyl5bnoc23ea6a8hzxXlYYuuc5/1GvWzXwDHdc5NUeOapo8uaimfH
										d4yaXL5PUiPndvtWJ/rG3B++f8/O3LG7WoflNH7mMen0Xdky6ExCTDnHfKnjMd9zjvfbXD4w/HGi
										bjWX4Htnz+y23d4uaRbz5t2r7PuRZWs13OO74rVPxenV10bYLrq3mNq9veedOyf+9BPThJ+9T5a5
										PD9sSfURIdE2ubavfdIGna1Q1Nvu3Oo5B6tsH+vv23x1p3N5T9d0982KJi2aO/d7f2Pz1QjXYZ/X
										LjF98Dzo8YbVNQ+drGGkBM5bnvlhdb5JZYPAuovfjCvbZv+lu75PLv6w1Kr3qdoW/bIW2bWe53ho
										U63mttlG5jaoT1btXuXPR50wyJ6uzOkQoph6NxpfrVVM2KV3wadTXgxf021htwmL58aVacX1zLmw
										ZpAYnuD+0tHZ8uSjsDom70O3NRwUkdd5+1w3i0B7ZXaW0a2A96Hnva5esXw69hi/88qnmrfLzo5N
										Ej+ZVmm66UHe3Q2TvPbT/i0D+zf13trshffLHaPHXhdrGYTYTnYpe0/pkvUw/tPDlkabAqKKOlo4
										jT8slB93b4lHlaDURfOXnJp7Pbr8Zl3vmNerN0cOnioPcdw/eiiyW7rprcWPHy2mOuydeWFIYksX
										5xU3749olI4mDmh56fzMU3us8pWwuSlrGm0hTYcUBUUvvWeUaLSzTkdtWmojfYSGAn6/+oLfFoNr
										Mfy2/W/gt76OvpYeELu2m76eit8ubNNNr27+9+TvP0PvVfHB225ntlpYffxQJ+u7B+/d/3V5p4od
										N53PsvJ2MMy+tP5Su03h+nLGz+m1LkvMWy8u02zh5qje+so30NAnPx58MYsa5ig8hLJny55xc5ix
										8u37QbY1P//4eKbds8fea+JTKvqcnpvf4oLBxb5bLm5txq/OWxe8aFB61ZtePlsjLz6s6uVUJSmy
										Q9fO8gOu5qchCxboh81410O/Mn9i2rIdT8ovm5h72fSdNtknpPPOFgtWtUJtWg40rlJtYOKyB1c0
										U9qszpu23rilmUHEqmkvu/5QiFfYddROR0Z6r5fJtyp67T/m2GXVFvsfPFzGnI2+3WDqong/sstO
										t+1zTvR2fL5C2y5FeULq0XLSF/T+BXpk/T9C7+8Kw2/Q26g0equ/Qq+fElUMvlMW6KfM/T78xvuv
										9fvbh2eE0dhNFvFt4hI2tRvZ/T01dQr8fwb1/5KUhb42WjY7tTfX3D3r6c5NYzLPj+3UHm9zCh/R
										638tl0d49bl91f079K4ILerJTdoRznTaT0E4YObdKodH4bvXR8ySeSjL2LZmd8Wn7gtvrBnfPdrX
										z8V6otfj0Ydg0bv+qyc9ed6bdbXh4LMpn9j0W5lfTtRSUSr4/e3Pk4qZerzf2R8V7JHwm9uXzVU0
										dcdCyznpukcD+V4lxdiLzehWsH/ELmX084yhV5mhrXYR94lXBbb/W7mE7x/iSuz7cH2H+Gu/7vqj
										ptpxi/e/3lPL7VR9JbhI8Z3Bqd0VqTHRjOJcInyXbonM+GqzMy1is67+85+tbWcCw17MLZiSs8bS
										58q3yv2rJKqSNN8vmq1pwlYulXTSVi5XvukD93Gd3eedNz/9+aZ26+MlK0pMd/gdLVQWUivjtgnq
										KYxycxbZs3nzBt/0E/Od/jdUKjbMEzVIe+EkFCd1Yp6S4gXnl9ovd3/xOKNz5YZRg4+alodKfNSr
										sPfL7s2ce8oqf2+jegmb4Lsyxf2zmw6qh2zbmGXbubAscUveQuFl+1e5fxDK/9tllLPp3/3AEz3K
										J9P2zpVtF0phstVdH9m/44ni060bTiVvqQhhveKoF7BmyoalFas3L5hWKnVzUrtwqZK+0QqOvAXR
										Par7F7xvOaV47bWc/8lZ7zwffGdMze/krj2ReeJZ3qvl088Zav7nOxodc8NXeuGNX/rz7PVCxbJP
										Ci/+a9jEMt2giWUyEyOjQWP7ALaXUQZqEcO8CxqPgFpp0GTLyWzIgzyGDLQXweM25DNAlhUFtQFh
										GlkMgWXRKg/VT6ybO/9N47TtWGHwougHw/PnBilIWngMwwxCFmg1aDD4MmQyJDMUMeSDh6HTGEoY
										FBhCGCoZCoC8dKB4IpCVwVC5UK1BBWceLaksyE8vSizIqFRAq0tYmhgZqh+tVtrwNcSg8Lz1nRM7
										Xm/fer/4VWKCx44bb7ayru5oi50tnrlG9/4FvbqJVYLvv0/Yr3X/wvJ9HWaL/kXzCH9c2j7Z56Nw
										ipjopR/9yxYGP9OwDnDn8jrztjprxrVig64dFzTd0mdsfjqh+3Egh43y2wX2X9uF48STNk0/w2ou
										dnzGtumCAt/vHeTtmC26YeHpPWf7/dM4FDWFfu2wPfw3e1pE2YVDcgoW67ZNSv4oMqPVWWb6jnnG
										R/xNuz+KLjmf0Z0b/O2Odcyew8YmwVe+X5qw/psF0+Z8M/9jGsd9FTNvzu36Nd3T08SDu+vmeqO9
										BTG+k18s/ti59+LSa1fvZQj8VoqUDniVf0dX9uvCJiZZgyYmpMhlM2xi4gIKsYETY+uAVf4o43Hs
										0KS4INZAAjkdciMmPBiBNsJlWA35QUNlBqaG5sA+qZkxsBGDngydVOXvzst+3nDD9VNX889Dy869
										L1VAK5tBCSRKRcpg3c/iFt+Ssj1r6yRm/TnJ+mbZy2irt941OxMf572/V3tq7sIFUmcVxbc31stc
										DzZM9rPb+Fvkm0Vj15YLEz6f1NjQzsH6r8Xmx5/7mlknE6purv/FW952Q+vM4j+Xnm01Mr5yTUXq
										fR7Tabc0jsMVXS2WHlnv357nN2aadvD++oJb3ua2YhzBdjvCW7pWPTaocvKSdrpRcdjm97yZoZMW
										rVkZNnmmzv0Qt2tzJ8UwrTRYsSX5W2PW6YV9Ng4l4u8enXlxcXnzlo/62yyn7Io413dm4hSWo4Vf
										V17umhA3yzDjjnDmZpVuudxYn+JUr2qJinWqR8OObnZ3nnz5jV5bXqkvzwapmesrNHIYGAAuo3yX
										DQplbmRzdHJlYW0NCmVuZG9iag0KMjIgMCBvYmoNCjw8L1R5cGUvTWV0YWRhdGEvU3VidHlwZS9Y
										TUwvTGVuZ3RoIDE0NjM+Pg0Kc3RyZWFtDQo8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBN
										cENlaGlIenJlU3pOVGN6a2M5ZCI/Pjx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8i
										IHg6eG1wdGs9IjMuMS03MDEiPgo8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3Jn
										LzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgo8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0i
										IiAgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIj4KPC9yZGY6RGVzY3Jp
										cHRpb24+CjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiICB4bWxuczp4bXBSaWdodHM9Imh0
										dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9yaWdodHMvIj4KPHhtcFJpZ2h0czpNYXJrZWQ+VHJ1
										ZTwveG1wUmlnaHRzOk1hcmtlZD48L3JkZjpEZXNjcmlwdGlvbj4KICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAK
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgIAo8L3JkZjpSREY+PC94OnhtcG1ldGE+PD94cGFja2V0IGVu
										ZD0idyI/Pg0KZW5kc3RyZWFtDQplbmRvYmoNCjIzIDAgb2JqDQpbIDBbIDUwN10gIDNbIDIyNl0g
										IDE3WyA1NjFdICA2MlsgNDIzXSAgMjU4WyA0OTRdICAyNzFbIDUzN10gIDI4MlsgNTM3XSAgMjg2
										WyA1MDNdICAyOTZbIDMxNl0gIDM0OVsgMjQ2XSAgMzY3WyAyNDZdICAzNzRbIDUzN10gIDM4MVsg
										NTM4XSAgMzkzWyA1MzddICAzOTZbIDM1NV0gIDQwMFsgMzk5XSAgNDM3WyA1MzddICA4NTdbIDcx
										MV0gXSANCmVuZG9iag0KMjQgMCBvYmoNCjw8L0ZpbHRlci9GbGF0ZURlY29kZS9MZW5ndGggMzk+
										Pg0Kc3RyZWFtDQp4nBNgcGAAAiYGHECBkUGJoQHMZGFgZGJh8GgAM8kADtgEAbZaAi0NCmVuZHN0
										cmVhbQ0KZW5kb2JqDQoyNSAwIG9iag0KWyAyMjYgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
										IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNTYxIDAgMCAwIDAgMCAwIDAg
										MCAwIDQyMyAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNDk0IDUzNyAw
										IDUzNyA1MDMgMzE2IDAgMCAyNDYgMCAwIDI0NiAwIDUzNyA1MzggNTM3IDAgMzU1IDM5OSAwIDUz
										N10gDQplbmRvYmoNCjI2IDAgb2JqDQo8PC9OIDMvRmlsdGVyL0ZsYXRlRGVjb2RlL0xlbmd0aCAy
										NTkzPj4NCnN0cmVhbQ0KeJydlndUVNcWh8+9d3qhzTB0GHqvUgYQ6R2kV1EYZgYYygDDDNgLIioQ
										UUSkKYIEBQwYDUViRRQLAVEBe0CCgBKDUWyoZEbWSnx5ee/l5ffHPd/aZ+9z99l737UuACQvPy4v
										HZYCII0n4Ad7utAjo6Lp2H4AAzzAAHMAmKysDP8Qj1Agkre7Kz1L5AT+Ra+HASRebxl7BdLp4P+T
										NCuDLwAAChTxEjYniyXiPBGn5ggyxPZZEVPjU8QMo8TMFyUoYnkxJy6y0WefRXYSMzuNxxaxOOcM
										dhpbzD0i3pEt5IgY8RNxfjaXkyPi2yLWShWmcUX8VhybxmFmAYAiie0CDitJxGYiJvFDg11FvBQA
										HCnxC47/ggWc1QLxpVzTM9bwuYlJAroeS59ubmvLoHtxclI5AoFxIJOVwuSz6a7paRlM3hoAFu/8
										WTLi2tJFRbY2t7W2NrYwMf+iUP91829K3NtFehn0uWcQre8P21/5pdcBwJgT1Wb3H7b4CgA6tgEg
										f+8Pm9YhACRFfWsf+OI+NPG8JAkEGXampjk5OSZcDstEXNDf9T8d/oa+eJ+J+Ljfy0N34yQwhakC
										urhurPTUdCGfnpXBZHHoxn8e4n8c+Nd5GAVzEjh8Dk8UES6aMi4vUdRuHpsr4Kbz6Fzef2riPwz7
										kxbnWiRK/SdAjTUBUgNUgPzcB1AUIkBiDop2oN/75ocPB4GiNUJtcnHuPwv691PhYvEji5v4Oc41
										OJTOEvKzF/fEnyVAAwKQBFSgAFSBJtADxsAC2AB74ATcgQ8IAKEgCqwCLJAE0gAf5ID1YAvIB4Vg
										N9gHKkENqAeNoAWcAB3gNLgALoPr4AYYAvfBKJgAz8AseA3mIQjCQmSIAilAapA2ZAhZQAxoGeQO
										+UHBUBQUByVCPEgIrYe2QoVQCVQJ1UKN0LfQKegCdBUahO5CY9A09Cv0HkZgEkyFVWAd2BRmwM6w
										LxwKr4QT4Ux4LZwH74LL4Tr4GNwOX4Cvw0PwKPwMnkMAQkRoiDpijDAQVyQAiUYSED6yESlAypA6
										pAXpQnqRW8goMoO8Q2FQFBQdZYyyR3mhwlAsVCZqI6oIVYk6impH9aBuocZQs6hPaDJaGW2ItkN7
										oyPRiegcdD66DN2AbkNfQg+hJ9CvMRgMDaOLscF4YaIwyZh1mCLMAUwr5jxmEDOOmcNisQpYQ6wD
										NgDLxAqw+dgK7DHsOexN7AT2LY6IU8NZ4Dxw0TgeLhdXhmvCncXdxE3i5vFSeG28HT4Az8avwRfj
										6/Fd+AH8BH6eIE3QJTgQQgnJhC2EckIL4RLhAeElkUjUINoSg4hc4mZiOfE48QpxjPiOJEMyILmS
										YkhC0i7SEdJ50l3SSzKZrEN2IkeTBeRd5EbyRfIj8lsJioSJhLcEW2KTRJVEu8RNieeSeEltSWfJ
										VZJrJcskT0oOSM5I4aV0pFylmFIbpaqkTkmNSM1JU6TNpQOk06SLpJukr0pPyWBldGTcZdgyeTKH
										ZS7KjFMQiibFlcKibKXUUy5RJqgYqi7Vm5pMLaR+Q+2nzsrKyFrKhsuulq2SPSM7SkNoOjRvWiqt
										mHaCNkx7L6ci5yzHkdsp1yJ3U+6NvJK8kzxHvkC+VX5I/r0CXcFdIUVhj0KHwkNFlKKBYpBijuJB
										xUuKM0pUJXslllKB0gmle8qwsoFysPI65cPKfcpzKqoqnioZKhUqF1VmVGmqTqrJqqWqZ1Wn1Shq
										y9S4aqVq59Se0mXpzvRUejm9hz6rrqzupS5Ur1XvV5/X0NUI08jVaNV4qEnQZGgmaJZqdmvOaqlp
										+Wut12rWuqeN12ZoJ2nv1+7VfqOjqxOhs12nQ2dKV17XW3etbrPuAz2ynqNepl6d3m19jD5DP0X/
										gP4NA9jAyiDJoMpgwBA2tDbkGh4wHDRCG9ka8YzqjEaMScbOxtnGzcZjJjQTP5Nckw6T56ZaptGm
										e0x7TT+ZWZmlmtWb3TeXMfcxzzXvMv/VwsCCZVFlcXsJeYnHkk1LOpe8sDS05FgetLxjRbHyt9pu
										1W310drGmm/dYj1to2UTZ1NtM8KgMgIZRYwrtmhbF9tNtqdt39lZ2wnsTtj9Ym9sn2LfZD+1VHcp
										Z2n90nEHDQemQ63D6DL6srhlh5aNOqo7Mh3rHB87aTqxnRqcJp31nZOdjzk/dzFz4bu0ubxxtXPd
										4HreDXHzdCtw63eXcQ9zr3R/5KHhkejR7DHraeW5zvO8F9rL12uP14i3ijfLu9F71sfGZ4NPjy/J
										N8S30vexn4Ef36/LH/b38d/r/2C59nLe8o4AEOAdsDfgYaBuYGbg90GYoMCgqqAnwebB64N7Qygh
										sSFNIa9DXUKLQ++H6YUJw7rDJcNjwhvD30S4RZREjEaaRm6IvB6lGMWN6ozGRodHN0TPrXBfsW/F
										RIxVTH7M8ErdlatXXl2luCp11ZlYyVhm7Mk4dFxEXFPcB2YAs445F+8dXx0/y3Jl7Wc9YzuxS9nT
										HAdOCWcywSGhJGEq0SFxb+J0kmNSWdIM15VbyX2R7JVck/wmJSDlSMpCakRqaxouLS7tFE+Gl8Lr
										SVdNX50+mGGYkZ8xmmmXuS9zlu/Lb8iCslZmdQqoop+pPqGecJtwLHtZdlX225zwnJOrpVfzVvet
										MVizc83kWo+1X69DrWOt616vvn7L+rENzhtqN0Ib4zd2b9LclLdpYrPn5qNbCFtStvyQa5Zbkvtq
										a8TWrjyVvM1549s8tzXnS+Tz80e222+v2YHawd3Rv3PJzoqdnwrYBdcKzQrLCj8UsYqufWX+VflX
										C7sSdvUXWxcf3I3Zzds9vMdxz9ES6ZK1JeN7/fe2l9JLC0pf7Yvdd7XMsqxmP2G/cP9ouV95Z4VW
										xe6KD5VJlUNVLlWt1crVO6vfHGAfuHnQ6WBLjUpNYc37Q9xDd2o9a9vrdOrKDmMOZx9+Uh9e3/s1
										4+vGBsWGwoaPR3hHRo8GH+1ptGlsbFJuKm6Gm4XN08dijt34xu2bzhbjltpWWmvhcXBcePzpt3Hf
										Dp/wPdF9knGy5Tvt76rbKG0F7VD7mvbZjqSO0c6ozsFTPqe6u+y72r43+f7IafXTVWdkzxSfJZzN
										O7twbu25ufMZ52cuJF4Y747tvn8x8uLtnqCe/ku+l65c9rh8sde599wVhyunr9pdPXWNca3juvX1
										9j6rvrYfrH5o67fubx+wGei8YXuja3Dp4Nmbjjcv3HK7dfm29+3rQ8uHBofDhu+MxIyM3mHfmbqb
										evfFvex78/c3P0A/KHgo9bDskfKjuh/1f2wdtR49M+Y21vc45PH9cdb4s5+yfvowkfeE/KRsUm2y
										ccpi6vS0x/SNpyueTjzLeDY/k/+z9M/Vz/Wef/eL0y99s5GzEy/4LxZ+LXqp8PLIK8tX3XOBc49e
										p72ef1PwVuHt0XeMd73vI95Pzud8wH4o/6j/seuT76cHC2kLC78B94Tz+w0KZW5kc3RyZWFtDQpl
										bmRvYmoNCjI3IDAgb2JqDQo8PC9UeXBlL01ldGFkYXRhL1N1YnR5cGUvWE1ML0xlbmd0aCAzMjM1
										Pj4NCnN0cmVhbQ0KPD94cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRj
										emtjOWQiPz48eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSIzLjEt
										NzAxIj4KPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJk
										Zi1zeW50YXgtbnMjIj4KPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgIHhtbG5zOnBkZj0i
										aHR0cDovL25zLmFkb2JlLmNvbS9wZGYvMS4zLyI+CjxwZGY6UHJvZHVjZXI+TWljcm9zb2Z0wq4g
										V29yZCAyMDEwPC9wZGY6UHJvZHVjZXI+PC9yZGY6RGVzY3JpcHRpb24+CjxyZGY6RGVzY3JpcHRp
										b24gcmRmOmFib3V0PSIiICB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEu
										MS8iPgo8ZGM6Y3JlYXRvcj48cmRmOlNlcT48cmRmOmxpPlNlZXJhaW5lciwgQ2FyaW5hPC9yZGY6
										bGk+PC9yZGY6U2VxPjwvZGM6Y3JlYXRvcj48L3JkZjpEZXNjcmlwdGlvbj4KPHJkZjpEZXNjcmlw
										dGlvbiByZGY6YWJvdXQ9IiIgIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4w
										LyI+Cjx4bXA6Q3JlYXRvclRvb2w+TWljcm9zb2Z0wq4gV29yZCAyMDEwPC94bXA6Q3JlYXRvclRv
										b2w+PHhtcDpDcmVhdGVEYXRlPjIwMTMtMDQtMDNUMTU6MTQ6NTMrMDI6MDA8L3htcDpDcmVhdGVE
										YXRlPjx4bXA6TW9kaWZ5RGF0ZT4yMDEzLTA0LTAzVDE1OjE0OjUzKzAyOjAwPC94bXA6TW9kaWZ5
										RGF0ZT48L3JkZjpEZXNjcmlwdGlvbj4KPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgIHht
										bG5zOnhhcE1NPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvbW0vIj4KPHhhcE1NOkRvY3Vt
										ZW50SUQ+dXVpZDpGNTE3QjdGMi05NjVFLTQ3MDUtOTlERC0zMTNDNUIxRDREMTQ8L3hhcE1NOkRv
										Y3VtZW50SUQ+PHhhcE1NOkluc3RhbmNlSUQ+dXVpZDpGNTE3QjdGMi05NjVFLTQ3MDUtOTlERC0z
										MTNDNUIxRDREMTQ8L3hhcE1NOkluc3RhbmNlSUQ+PC9yZGY6RGVzY3JpcHRpb24+CjxyZGY6RGVz
										Y3JpcHRpb24gcmRmOmFib3V0PSIiICB4bWxuczpwZGZhaWQ9Imh0dHA6Ly93d3cuYWlpbS5vcmcv
										cGRmYS9ucy9pZC8iPgo8cGRmYWlkOnBhcnQ+MTwvcGRmYWlkOnBhcnQ+PHBkZmFpZDpjb25mb3Jt
										YW5jZT5BPC9wZGZhaWQ6Y29uZm9ybWFuY2U+PC9yZGY6RGVzY3JpcHRpb24+CiAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAog
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgIAo8L3JkZjpSREY+PC94OnhtcG1ldGE+PD94cGFja2V0IGVuZD0idyI/Pg0K
										ZW5kc3RyZWFtDQplbmRvYmoNCnhyZWYNCjAgMjgNCjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAw
										MDAxNyAwMDAwMCBuDQowMDAwMDAwMzQwIDAwMDAwIG4NCjAwMDAwMDAzOTYgMDAwMDAgbg0KMDAw
										MDAwMDU4NSAwMDAwMCBuDQowMDAwMDAwODQ3IDAwMDAwIG4NCjAwMDAwMDEwMjAgMDAwMDAgbg0K
										MDAwMDAwMTI2NCAwMDAwMCBuDQowMDAwMDAxMzk5IDAwMDAwIG4NCjAwMDAwMDE0MjcgMDAwMDAg
										bg0KMDAwMDAwMTU5MSAwMDAwMCBuDQowMDAwMDAxNjY1IDAwMDAwIG4NCjAwMDAwMDE5MjQgMDAw
										MDAgbg0KMDAwMDAwMjE1NSAwMDAwMCBuDQowMDAwMDAyMjY0IDAwMDAwIG4NCjAwMDAwMDI1MTgg
										MDAwMDAgbg0KMDAwMDAwMjU1OSAwMDAwMCBuDQowMDAwMDAyNjM0IDAwMDAwIG4NCjAwMDAwMDI3
										MDMgMDAwMDAgbg0KMDAwMDAwMjc0MCAwMDAwMCBuDQowMDAwMDAyODA5IDAwMDAwIG4NCjAwMDAw
										MDMxMTEgMDAwMDAgbg0KMDAwMDA4Mjg0MiAwMDAwMCBuDQowMDAwMDg0Mzg4IDAwMDAwIG4NCjAw
										MDAwODQ2MDMgMDAwMDAgbg0KMDAwMDA4NDcxNiAwMDAwMCBuDQowMDAwMDg0OTQzIDAwMDAwIG4N
										CjAwMDAwODc2MTYgMDAwMDAgbg0KdHJhaWxlcg0KPDwvU2l6ZSAyOC9Sb290IDEgMCBSL0luZm8g
										MTIgMCBSL0lEWzxGMkI3MTdGNTVFOTYwNTQ3OTlERDMxM0M1QjFENEQxND48RjJCNzE3RjU1RTk2
										MDU0Nzk5REQzMTNDNUIxRDREMTQ+XSA+Pg0Kc3RhcnR4cmVmDQo5MDkzNA0KJSVFT0Y=
									</value>
								</observationMedia>
									</component>

									<!-- Analyse, für kein Wert im Value Set ELGA_Laborparameter gefunden wurde-->
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-1-11"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code nullFlavor="OTH">
												<originalText>Eosinophile pro 100 Zellen
												/KM</originalText>
												<translation code="11152-6"
												codeSystem="2.16.840.1.113883.6.1"
												displayName="Eosinophils/​100 cells in Bone marrow"
												codeSystemName="LOINC"/>
											</code>
											<text>
												<reference value="#OBS-1-11"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="4" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="Normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-1-11"/></text>
												<value xsi:type="IVL_PQ">
												<low value="0.0" unit="%"/>
												<high value="7.0" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>

									<component typeCode="COMP">
										<act classCode="ACT" moodCode="EVN">
											<templateId root="1.2.40.0.34.11.4.3.2"/>
											<templateId root="2.16.840.1.113883.10.20.1.40"/>
											<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
											<code code="48767-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Annotation Comment"/>
											<text>
												<reference value="#haematologyComment2"/>
											</text>
											<statusCode code="completed"/>
										</act>
									</component>
								</organizer>
							</entryRelationship>
							<entryRelationship typeCode="COMP">
								<observationMedia classCode="OBS" moodCode="EVN" ID="BEFUND2">
									<templateId root="1.2.40.0.34.11.1.3.1"/>
									<value mediaType="application/pdf" representation="B64">
										JVBERi0xLjQNCiW1tbW1DQoxIDAgb2JqDQo8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFIvTGFu
										ZyhkZS1BVCkgL1N0cnVjdFRyZWVSb290IDEzIDAgUi9NYXJrSW5mbzw8L01hcmtlZCB0cnVlPj4v
										T3V0cHV0SW50ZW50c1s8PC9UeXBlL091dHB1dEludGVudC9TL0dUU19QREZBMS9PdXRwdXRDb25k
										aXRpb25JZGVudGlmaWVyKHNSR0IpIC9SZWdpc3RyeU5hbWUoaHR0cDovL3d3dy5jb2xvci5vcmcp
										IC9JbmZvKENyZWF0b3I6IEhQICAgICBNYW51ZmFjdHVyZXI6SUVDICAgIE1vZGVsOnNSR0IpIC9E
										ZXN0T3V0cHV0UHJvZmlsZSAyNiAwIFI+Pl0gL01ldGFkYXRhIDI3IDAgUj4+DQplbmRvYmoNCjIg
										MCBvYmoNCjw8L1R5cGUvUGFnZXMvQ291bnQgMS9LaWRzWyAzIDAgUl0gPj4NCmVuZG9iag0KMyAw
										IG9iag0KPDwvVHlwZS9QYWdlL1BhcmVudCAyIDAgUi9SZXNvdXJjZXM8PC9Gb250PDwvRjEgNSAw
										IFIvRjIgNyAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dC9JbWFnZUIvSW1hZ2VDL0ltYWdlSV0gPj4v
										TWVkaWFCb3hbIDAgMCA1OTUuMzIgODQxLjkyXSAvQ29udGVudHMgNCAwIFIvU3RydWN0UGFyZW50
										cyAwPj4NCmVuZG9iag0KNCAwIG9iag0KPDwvRmlsdGVyL0ZsYXRlRGVjb2RlL0xlbmd0aCAxODg+
										Pg0Kc3RyZWFtDQp4nH2PSwvCMBCE74H8hzkmh6ZJ2vQBpYc+FMWCh96KB8VWCr5Q/P82iNCqyMIy
										C7M738JdI0ncKl8UkGmKrMiR1ZS4MwVlRByg7ihRkEMphFpI7SM0vggi1CdKJA62zSlpWNZyx2P9
										/dq3R+5ohtV2xz12sfrGHcPs1HbcCdljUGfr3vMN6iUl5ZBpc99JWmlhwnFSwzDyoqxyYASvJvD6
										D7zWQvmvk4n0TJxOCX5/HnnC/1j+5nkCqo1DDA0KZW5kc3RyZWFtDQplbmRvYmoNCjUgMCBvYmoN
										Cjw8L1R5cGUvRm9udC9TdWJ0eXBlL1RydWVUeXBlL05hbWUvRjEvQmFzZUZvbnQvQUJDREVFK0Nh
										bGlicmksQm9sZC9FbmNvZGluZy9XaW5BbnNpRW5jb2RpbmcvRm9udERlc2NyaXB0b3IgNiAwIFIv
										Rmlyc3RDaGFyIDMyL0xhc3RDaGFyIDExNy9XaWR0aHMgMjUgMCBSPj4NCmVuZG9iag0KNiAwIG9i
										ag0KPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9BQkNERUUrQ2FsaWJyaSxCb2xkL0Zs
										YWdzIDMyL0l0YWxpY0FuZ2xlIDAvQXNjZW50IDc1MC9EZXNjZW50IC0yNTAvQ2FwSGVpZ2h0IDc1
										MC9BdmdXaWR0aCA1MzYvTWF4V2lkdGggMTc1OS9Gb250V2VpZ2h0IDcwMC9YSGVpZ2h0IDI1MC9T
										dGVtViA1My9Gb250QkJveFsgLTUxOSAtMjUwIDEyNDAgNzUwXSAvRm9udEZpbGUyIDIxIDAgUj4+
										DQplbmRvYmoNCjcgMCBvYmoNCjw8L1R5cGUvRm9udC9TdWJ0eXBlL1R5cGUwL0Jhc2VGb250L0FC
										Q0RFRStDYWxpYnJpLEJvbGQvRW5jb2RpbmcvSWRlbnRpdHktSC9EZXNjZW5kYW50Rm9udHMgOCAw
										IFIvVG9Vbmljb2RlIDIwIDAgUj4+DQplbmRvYmoNCjggMCBvYmoNClsgOSAwIFJdIA0KZW5kb2Jq
										DQo5IDAgb2JqDQo8PC9CYXNlRm9udC9BQkNERUUrQ2FsaWJyaSxCb2xkL1N1YnR5cGUvQ0lERm9u
										dFR5cGUyL1R5cGUvRm9udC9DSURUb0dJRE1hcC9JZGVudGl0eS9EVyAxMDAwL0NJRFN5c3RlbUlu
										Zm8gMTAgMCBSL0ZvbnREZXNjcmlwdG9yIDExIDAgUi9XIDIzIDAgUj4+DQplbmRvYmoNCjEwIDAg
										b2JqDQo8PC9PcmRlcmluZyhJZGVudGl0eSkgL1JlZ2lzdHJ5KEFkb2JlKSAvU3VwcGxlbWVudCAw
										Pj4NCmVuZG9iag0KMTEgMCBvYmoNCjw8L1R5cGUvRm9udERlc2NyaXB0b3IvRm9udE5hbWUvQUJD
										REVFK0NhbGlicmksQm9sZC9GbGFncyAzMi9JdGFsaWNBbmdsZSAwL0FzY2VudCA3NTAvRGVzY2Vu
										dCAtMjUwL0NhcEhlaWdodCA3NTAvQXZnV2lkdGggNTM2L01heFdpZHRoIDE3NTkvRm9udFdlaWdo
										dCA3MDAvWEhlaWdodCAyNTAvU3RlbVYgNTMvRm9udEJCb3hbIC01MTkgLTI1MCAxMjQwIDc1MF0g
										L0NJRFNldCAyNCAwIFIvRm9udEZpbGUyIDIxIDAgUj4+DQplbmRvYmoNCjEyIDAgb2JqDQo8PC9B
										dXRob3IoU2VlcmFpbmVyLCBDYXJpbmEpIC9DcmVhdG9yKP7/AE0AaQBjAHIAbwBzAG8AZgB0AK4A
										IABXAG8AcgBkACAAMgAwADEAMCkgL0NyZWF0aW9uRGF0ZShEOjIwMTMwNDAzMTUxNDUzKzAyJzAw
										JykgL01vZERhdGUoRDoyMDEzMDQwMzE1MTQ1MyswMicwMCcpIC9Qcm9kdWNlcij+/wBNAGkAYwBy
										AG8AcwBvAGYAdACuACAAVwBvAHIAZAAgADIAMAAxADApID4+DQplbmRvYmoNCjEzIDAgb2JqDQo8
										PC9UeXBlL1N0cnVjdFRyZWVSb290L1JvbGVNYXAgMTQgMCBSL1BhcmVudFRyZWUgMTUgMCBSL0tb
										IDE2IDAgUl0gL1BhcmVudFRyZWVOZXh0S2V5IDE+Pg0KZW5kb2JqDQoxNCAwIG9iag0KPDwvRm9v
										dG5vdGUvTm90ZS9FbmRub3RlL05vdGUvVGV4dGJveC9TZWN0L0hlYWRlci9TZWN0L0Zvb3Rlci9T
										ZWN0L0lubGluZVNoYXBlL1NlY3QvQW5ub3RhdGlvbi9TZWN0L0FydGlmYWN0L1NlY3QvV29ya2Jv
										b2svRG9jdW1lbnQvV29ya3NoZWV0L1BhcnQvTWFjcm9zaGVldC9QYXJ0L0NoYXJ0c2hlZXQvUGFy
										dC9EaWFsb2dzaGVldC9QYXJ0L1NsaWRlL1BhcnQvQ2hhcnQvU2VjdC9EaWFncmFtL0ZpZ3VyZT4+
										DQplbmRvYmoNCjE1IDAgb2JqDQo8PC9OdW1zWyAwIDE4IDAgUl0gPj4NCmVuZG9iag0KMTYgMCBv
										YmoNCjw8L1AgMTMgMCBSL1MvUGFydC9UeXBlL1N0cnVjdEVsZW0vS1sgMTcgMCBSIDE5IDAgUl0g
										Pj4NCmVuZG9iag0KMTcgMCBvYmoNCjw8L1AgMTYgMCBSL1MvUC9UeXBlL1N0cnVjdEVsZW0vS1sg
										MF0gL1BnIDMgMCBSPj4NCmVuZG9iag0KMTggMCBvYmoNClsgMTcgMCBSIDE5IDAgUl0gDQplbmRv
										YmoNCjE5IDAgb2JqDQo8PC9QIDE2IDAgUi9TL1AvVHlwZS9TdHJ1Y3RFbGVtL0tbIDFdIC9QZyAz
										IDAgUj4+DQplbmRvYmoNCjIwIDAgb2JqDQo8PC9GaWx0ZXIvRmxhdGVEZWNvZGUvTGVuZ3RoIDIy
										Nz4+DQpzdHJlYW0NCnicXZBNasQwDIX3PoWW08XgTEoLhRAYphSy6A9NewDHVlJDIxvFWeT2ld0w
										hQpskN/7xLP0pXvsyCfQbxxsjwlGT45xCStbhAEnT+pUgfM27V257Wyi0gL325Jw7mgMqmlAv4u4
										JN7gcHZhwBulX9khe5rg8Hnppe/XGL9xRkpQqbYFh6MMejbxxcwIumDHzonu03YU5s/xsUWEuvSn
										3zA2OFyisciGJlRNJdVC8yTVKiT3T9+pYbRfhsV9e/cg7rqq74t7f89c/t41lF2ZJU/ZQQmSI3jC
										65piiJnK5wcJyW8tDQplbmRzdHJlYW0NCmVuZG9iag0KMjEgMCBvYmoNCjw8L01ldGFkYXRhIDIy
										IDAgUi9GaWx0ZXIvRmxhdGVEZWNvZGUvTGVuZ3RoIDc5NjIzL0xlbmd0aDEgMTcwODg0Pj4NCnN0
										cmVhbQ0KeJzsnAlgVNXV+M99b5bMlplJMtkmyUwy2ZfJnhCWZMi+EEJIRhMgkJCwKZCYhU1RrHsU
										te47tlqXojIZUINQoYraVlGr1lrcsOKCkop7BZP5zn1nJgTEVq2f/vv/5t6c97v33P3c5d0JYYAB
										gAkfMphV3lRT9YHj4/tAONcAENlfUVre7JkSdjbAtfEAimkVpTPKlDOuGgb45Z0A4oaq8orK9x7/
										DEBYb8X4P6pmNTQdaGXXAdzcBeymN6qanKWiPOUoCAXlAJX7Gpoyc75W75sMwF7BVts7V3T0NO1o
										KQFIwjrF5s5V/dbMmvwagJqd2F7A4p4lK371Qel9AGlaAFXwko6+HggHG7Z/DZY3LFm+dvG7b3Vc
										DNCwBwexZumijq5Du3LfwfrnYXrBUlToNip2Y5znj1+6on/NzD0BC7HDkwASzj59Ue/K8DPDBYDz
										LsP0weXdnR333H3nqQCLpgLEzFzRsabH7AmNwvLYP7Cu7Fix6I3KWecBnB8OoJvX093X7zHDhdif
										fp7e07uo56nD/XaAPLSH6RbgtpUPz35mX+6WBfqpn0NEAHC348OznuF8et+21Uf3jW5UHVI+gXlV
										IAA5LKeAMWB71Lcf3XfkQtUhqaYJTryRa/SJ0ABySSGAATKhHUDbie1KWWS1wk5MDZDfKM/FKmOI
										4vPwiAABIOiVgiiTiYJsPwgeB9znoXYB6pusVsD+WxOpD8rbhEQrsE1SpbvlgXykWHvgsd6w5+AH
										OdlZsPGHlfz5nLjw5H1WjP33jcXv/O4/deKnUPV9y8jq4OzvkbfuuLgSar9LOeFiiPi+/fp/3bEv
										4fQfqZ5vtf+/mhtZPVR/n3Ym1iW8cny9YjbUfJ+6fgqH/V37c/fB7/zO7/zO7/7/cMLN8O4PLSsf
										grN+zL78tzjxF/73sN/5nd/5nd/5nd/5nd/5nd/5nd/5nd/5nd/5nd/5nd/9n3WiV6K8fx32GMYw
										JDwAMrgL4zFgQA3/Oy0dxEEp1MNCWAzLYDn0QB8MwO3WRI9HKqkDK6bPgA7oktJXQu94OvN8DuDx
										/YXXZ4y3CMzh6Xw719tupNSHGP43Y8D/Niz+WA/FWvF6KIZyJjA9i2QxLJmtYuvZJewydiUo2CEp
										18cn/nUbxgXv38IJ8K8dm9DOf+aMJ9Fhz79bYT4+fEojlOJt0rMbRRovko8Y2IP/YS9/Iie2Sivr
										x3P/FSvSUblgftu8uXNaW5zNTbMbZzXMrJ9RV1tTXVVZUV5WOt1RUjxt6pTJRZMKC/Iz7RnpyYkJ
										8bY4S3iI0aDXadSqAKVCLhMFBukVtsp2qyux3SVLtFVXZ/C4rQMVHRMU7S4rqiqPz+OytkvZrMfn
										dGDOxSfkdFBOx3hOZrBOhakZ6dYKm9W1t9xmHWZzGlswvLHc1mp1jUjheiksS5QiOozExmIJa0X4
										0nKri7VbK1yVq5YOVrSXY31DGnWZrWyROiMdhtQaDGow5Eq29Qyx5GImBYTkislDAgToeLMuMaGi
										o8s1q7GlotwcG9sq6aBMqsulKHMppbqsy3if4VLrUPruwcuGDbCwPU3bZevqmNfiEjuw0KBYMTh4
										kcuY5kqxlbtS1h0IxyEvcqXbyitcaTasrG72eAPMJU8w2KyDnwN23jZy6HhNh1ejSDB8DjzIhzhu
										Jkz3hQH7hj3E8cXG8r5cOuyAhRhxbWhsobgVFprd4MhMa3UJ7Txlty/F5OQpG3wp48XbbbF8qira
										vT+rloa7Niy0ZqSj9aWfBPzBdKtLTGxf2LmUs2PRoK28nOzW3OJylGPA0eEda8VQVibm72jHQSzj
										ZmhscWXaelwhtlLKgAorn4NlTS1SEW8xV0iZC9o7vaVcmRXlvF/WisH2cuogr8vW2LIdcj37h/Ks
										5q25kAetvB+u0DKclMSKwZauxS5Lu7kL1+dia4s51uVoRfO12loWtfJZshlcKfuxuVipRakUju2E
										3L7MfOTKhABri2AWW/lsocJaiQ9b6VRMMOB0SVE+o6VTrS3MDL5s2Io3Bw8dVw9GxISyap4k8qJl
										1ebY1lhy/6JLZm+f5AmugAl1GVAx3idq51u7Rrl5h1KsFYvKJ3TwuErl3g56azt5PwVuC2/DWCKA
										T2e1L0lMwJ2LOgGrkVR8FsOtLphlbbEtsrXacA05ZrXwsXFbS/Nb12Sra5zTIs22d5U0Hxej9EkU
										c0EsJvsiQhmuwco0s29apXiVFB+PVp+QXONLtg4G2OqaBnnlNm+FYMUdhINWJNZ0XDopKA+3ZiWe
										brbKDpvVYK0c7Bj2bFg4OORwDPZUtC+dzOuw1XQN2ppappqlvs5uWW9ex5sKgjpW11yakY5nT+mQ
										jV3cOORgFzfNadluwOP+4uYWt8CEsvbS1qF4TGvZju8Bh6QVuJYrecTKI7ym2RgJkPKbtzsANkip
										MkkhxTuHGUi6AJ+OQeewQDqDTyegTkY6h6TjDicpfCmaGI/bCmsXn56zWpcOtrfyzQWhOJX4w1zM
										VgwuwVY8xASF1qW2LSp1aWylXF/C9SWkV3C9EhcGC2VoHH4mDbbb8JzCBdUCZkZLUeRVWoc9nuaW
										2L3mkdZYXGrzUOa0uFRpePbLE2oxXxWXdlRXuTZ0dvB+gLOFl1Um1HS24rL1VYhZalwqrEHlrQFz
										VEpl+HLEQp04NziBUvkNGHFtaHW1pvFGW5a1SsvZ4IJq22ScdqpTnsgbymwdDLLlSHsTt4I64SIO
										FfYNmlpIY8YoNtZKRlJqseedNkzqbLeitWXQ2YRLnc5StZk0i/BIlCUukkRt9iYCH5aYoNGpXSo7
										Vog/PKyx8y0pT1C2tlLnpdhF3gzYtsGlwR4lTjCltwBaB5NqeF/w5yLsKs/6e15N4zDMtq3Bk4V3
										WqpJickuXUJNBx7+VF6DGtskX+EAfkZovHXsIa2Sj1yLdhcTmoc9d9vWxk5wGek2/nLgCxPM23Fh
										Q+vgiQrX3LSM9IATtTpJPTgYoDt5AbJXgG6cqIQhlTgsfOWOibYMC/90x6QhvnTHpCO+IHxO+IzS
										PqXYJ4SPCYcJHxH+QTlHCIdI+SHhA8JBwvuE9wjvEt4hHHDHqBBvU+zvhLfc0UGI/e7oCMSb7uhM
										xBuE1wmvEV6lLPso9jfCK4S/El4m/IXwEuFFwguEPxOeJzxHeJY6sZfwDOFpwp+o2T9Szj8QniI8
										SXiCsIfwOOExwu8Juwm7qM5HCb8j5U7CDsIjhO2EYcLDhIcIDxK2EbYS3IQhd1QOwkXY4o7KRTxA
										uJ9wH2Ez4bfuqGzEvYR7qNzdhLsIvyHcSbiD8Gsq/ivC7YRNhNsItxJuoapvJtxExW8k3EC4nnAd
										4Voqdw3hasJVhF8SriRcQbicqt5IxS8jXEoYJFxCuJgKXES4kHAB4XzCeYRfuM15iHMJGwjnEM4m
										rCecRTiTsI6wlrCGsJqwijBA6Cf0EXoJZxB6CN3uyHzESsIKwnLC6YTTCMsISwlLCIsJiwhdhE7C
										QkIHoZ2wgDCf0EaYR5hLmENodUcUIloIpxJOITgJzYQmwmxCI2EWoYEwk1BPmEGoI9QSagjVhCpC
										JaGCUE4oI5QSphMchBJCMWEaYSphCmEyocgdXoSYRCgkFBDyCXmEXEIOIZuQJUFk7nA7xjJJaSdk
										ENIJaYRUQgohmZBESCQkuMOmIOIJNncYX9Bx7rDJiFhSWgkWQgwhmhBFMBMiCRGEcEIYIZRgohZC
										qIVgUgYRjAQDQU8IJOgIWoKGoCaoqM4AgpKUCoKcICOIBIHACCCBeQhjhFHC14SjhCOErwj/JHwp
										Ncu+kEbEPiflZ4RPCZ8QPiYcJnxE+AdhhHCI8CHhA8JBwvuE96i9d92hNsQ7hAPuUFxg7G3C392h
										kxBvEfa7Q8sQb7pDyxFvEF4nvOYOrUC86g6tROwj/I3wClX9V8LLVNlfqLKXCC8SXqDK/kzlnic8
										R3iWsJfwDOFpKvcnqvqPhD9Q558iPEntPeEOLUXsoQKPU0OPUa9/T5XtJuwiPEr4HWEnYQfhEap6
										O1U9TFU/TFU/RHiQsI0a2kpwE4aoWRdhC+EBqvp+wn2EzYTfEu51m/DcZfe4TdMRdxPucpvqEb9x
										m2Yi7nSbGhB3uE2zEb92mxyIX1GW2ynLJspyG2W5ldJuoZw3U+wmynkj4QYqcD3hOrdpFuJaKn4N
										4WrCVdSlX1LOKynnFYTL3aZGxEbKeRnhUsKgO6QFcYk7pBVxsTtkHuIid0gb4kJ3SC3iAnfIXMT5
										lHYe5fwFZTnXsQV5WF9h+Siw2rJfO9PyGMrvUXaj7NKcYnGjDKG4ULagPIByP8p9KJtRfotyL8o9
										KHej3IXyG5Q7Ue5A+TXKr1BuR9mEcpt6qeUmlBtRbkC5HuU6lGtRrkG5GuUqlF+iXKlaarkC5XKU
										jSiXoUxXCV8LR+AUsAhHkUvBws5xB/PteLY7iC+tfkKf28iXVi/hDEIPoZuwkrCCsJxwOuE0wlTC
										FLeBYzKhiDCJUEgoIOQT8gi5hBy3nq/TbEIWIYhgJBgIekIgQefGSRlmWoKGoCaoCAEEpVvHp1rh
										mIv8B8oIyiGUD1E+QDmI0/kmyhsor6O8hvIqyj6Uv+G0vILyV5RHUX6HshNlB8ojKLfiVNyCMsw2
										kKXXuY18ya8l46whrCasIgwQygilZIfpBAehhFBMmEZDNhFCCMEc20VRFNwOy52PigJsQ9mDIopA
										fTmT0ESzPpt61kiYRWggzCTUE2YQ6gi1hBpCNaGKUEmoIJQT4gix1HkrwUKIIUQToghmQiQhghBO
										wwwjhDpuRo6ifI1yFOUIylc4wf9E+RLlC5TPUT5D+RRn9ROUj1HeQ3kX5R2UAyhvo/wd5S2c3b0o
										z6A8jfInlD+i/AHlKZQnUZ5A2YPyOMowysM44w+hPIiyDWUrys189oVRsvF6wlmEZW4jXoXYUsIS
										MstiwiJCF6GTsJDQQWgnLCDMJ7QR5hHmEuYQWgkthFMJpxCchGZCJsFOps4gpBPSCKmEFEIyIYmQ
										SEiguYkn2AhygowgEgQCox0Jjl8jPShjKO+jYV9G+QvKSygvoryA8meU51GeQ3kWDb0d5QIxwXK+
										aLecx+yWX1RvcJ67eYPznOr1zrM3r3dq1k9ZX7de1Kw3I85cv3n9q+sVZ1Wvc565eZ1Tti5knaBe
										W73auWbzaqdmNdOuqh5wNg8cGPhsQAwZaB7oGugfuGbgJVQo7xzYNrBnQBz27HYEDUyaUrlh4MoB
										IQTTBRhgeq6OHdAEVvZX9zr7Nvc6Zb15vcKUz3rZ/l4mZPWyWb3tvQLm2tobn1zJc+f3hkZWGnqz
										eh294hnV3c6ezd3Ohu7u7nO6N3Xv6paf031Ft7AFQ4KjW6WrXFm9wvnmCgY7BQ8YUHYLHreo7t4h
										jAGDj4Qxh4edjgY4DQ2xzL7EuXTzEudie5dz0eYuZ6d9obPD3u5cYG9zzt/c5pxnn+Ocu3mOs9Xe
										4jwV859ib3Y6Nzc7m+yNztmbG50N9pnOmaivt9c5Z2yuc9baq501m6uds6pZlb3SWSEWWPANAjH4
										0xOzIeZwjEzTHt0TLfRE748+HC32RB2OEs4xM33kOZFXRIp6fAj0iLBEXBGxKWJLhFwvBURtT9CG
										IKHHuMEoZBkdxueN+40yMN5uFPRX6Dfpt+jFBv0C/Ud6j162Rc+2BO4KfC5QbAhcENgdKOoDeVw0
										OALt2ZV6nUXnqMrUiVMzdSW6Bp14hY45dPacSocuPqmyRNugXaAVN2mZQ5uYUvmR2qMWHGpM+Ejl
										UQkeFQORWRkDZkCIAXyOmMlSietxayiTM7xaDDU3paXVDSs9s+tcAbPmutjFroQm/nQ0znEpLnaB
										c87cliHGLm8dYkJZsyuE/+JYil+wcSOURte5optaXLdHt9a5NmDAwQMeDED0UCiUtqbN7xvo6+tP
										60vDB8r8PtT0D+CPBIZP5EA/T+nvA8yS9i2O5+jjGJAy9Q0sGMA6MAHVfZKax+ZLWb6tjp/UfetI
										fgrHfs7G/2+78AXzAZS3AYxdPeHf2c9FfwtshgfhEfg9/AlehE+ZGtrhAtgFb8MH8AkcxW2qZCYW
										xVJ+rH/cxz6cJ18BOnE3KCAMwHPEc3DsXs9BAHngBM3VGAuTJR7TeII8Iyfqxq4eGx57VqEBg1TW
										IDyN2sNsxHNEKOFxTwGPCxfxsFTisPK2sS1jm47rTo/01wJrYC2sgzNhPZwN58B5cCFcBBfDJWiL
										czB8KVwGG+FyuAKuhF/CVXA1XAPXwnVwPdwAN8JNcDPa8Va4DTZ503j8NvTXSak85ddwF9wL9yHv
										gDvhN3A33IPx36L174MHUEcait+PmtvhV6i9C7U8F9dtQe+CIXDDVtiGc0ZxX2wYdsND8DByO87m
										DtgJv4NHcR5348w+Jum4xhf/9pz0fBz2wBPwJDwFf4A/4sp4Gp6BvfAsPPeDUp4Y1/DY8/BneAHX
										2kvwF3gZ/gp/g1fhDXgT9sPfcdUd+kb6K5hjH+Z53ZvrLcz1DhzEnCOYk/JRntek1PelGl7Csvvh
										AAuAz5kAR8GDIT5710kzdKM0j3z2+OzcKdmZz8cWjPMZunt8bu5HG9+P88ljPHyTdzYewLxDaEGf
										/U5utWe9s0P23ol5uC14yl6vLZ7yzgSv59Hxsk9LaW6p3GPjtR6zKI3wLxOs89oEG74D70qWIetR
										6jHr8RwHMA+3Mq/jeNv+HcuS9XlZrp9Yhqftw/hBPB0OoaU5P5Rm4kN4bzz8njd9BP4BH8Hn0vMw
										fIznyafwGca/QM1hjH1Te6LmS/T/hK/gCM7g1zA6ITZ6QsoojOEcA2NMYCKMHQsd00oiwyuGAs+0
										AKZiaqZlOhbI9HgVUZ6QohlPMX4jRXuSNJWkCWLBLATPyzAWziKZGc/NaBbDLCyWxU1IixhPsWKK
										jcWzBG9aqFQyYrysBXOETcibwrLYanymMTvLxHA2y2P5rJAVoSYD4zkYn4xpWRJLYRYshOVwRP6+
										8AzWH4KnyhD/DrixPvFVPDFFUEIR1MNMaN4JOnYrHquT2dPbyssDMpSPYlQAK3saAtB8tzqCZYLO
										bC6x5SsuExuNNSXKy4RmKBl94/Un8bE3qChzL8t8feTlEcPok8aizJGXRrKzmDHWKElIoKBUKhS2
										OLuQn5RYkJubUyzk5yXa4gIFSZdXUFgs5ubECGKIT1Ms8DgTX/26QawYjRfWxk5pypaztIQwS3BA
										gGiJ0SXkWvV19baC5Ei5LEAhygOUSQWlNufq2rhn1eFJUdFJ4WpkdBRy9DF54JFP5IFHT5WVH90p
										vF/UUhyvWKvTCHJVwK3JMab47KhpdTq9Th5oDouMUgYYA9Wp1R2jN0YmhKnVYQmRUQm8roTRKWix
										jQCyArRdDKTBJNjEL6DOlu1gEa5+MFJjMmmA/6tTemIu/3cYTWQSfvTamp2tjB/2vL9No2cz4vHj
										mkNlaMwL57E8/sHOoWyG8JLI+pG0kpE0NORIEcscyckcQTMGFaEZzUM/sJrsrFY0vcwWG5eYb8wr
										yI1Fi5r4XMSILM8u2GxGPhHBx4KygsSytp5zZo7dE5uREcsqVv/mjKnh9rK0wraK5LH7wrNqpl1w
										dVF5RmhZzOQ51bc8WlhXaGHnV/ScUpwcnJQuW5qelNx4VnNmU3meQZ3TcBp7M6k4JXTMZc4sGf0q
										oyorcuzKsIwy/leYG/n3N8pDIBLqfPYzCdc4NKDSzzZJIzLxT9gOxfiIWOZebgnHt2bAsSbwxUNj
										pdVjMvIRY0tqvXp0S2yGLiY3MSknRseuR4V8ZUyKWYvdvl5tUCsU+Dj6kSYihffOc0RxBs7wVPgb
										9c6h0WVlhWVmqu3h4ZHDQte2+GytVo2BhyG+oDFCqwnfwTLAAXbP4W0GmzAje9hz2GHloTADf+ro
										GZaZlW1XWJIbLc4gp9yJPUcXFFbE72c4hpycHBzmSyM5xlwDfxiLpmXm5hpzcdgP/rit+GzFN5rR
										xgJFHkpiNuO4Mo/v0RghjOUy3JiSLRVnaKKzEuKzorTC2CWyIEtWXFyWJUgcu07QxGSiPlpTkHGf
										vTTLqmXhMhans6RMShgyJ0Xo4n32lUUfPaAzqkW5xqCRRR19e1x/bm6B3laU+vWoyFInx+sDsRT/
										W94qz0FxlfhXyAUHS6GZcKvC8oaFudsgKQkmDwsVDoNRDGOfhrGwYW0e+zqP5fFP+iqtDvdEnn16
										6jALd5j3xzFxfdzGOMERNyuuPU7Ux1niBK0sLk4WPezZ7wjU4nKKDjew+ugj9tppuMNwY7H6aQcc
										2noZhGf6thTfUwvmt7W1LWgbMWI4re2MkbYzcKvuKcrECSviy1P/M/dGmll+0CYm5ud7D1y+GXLz
										+SYfP26LZdKUKrnGFBKam1NQKK4KSUvNSDEWbjylavWpWdPWblt9qjFpelZJ54xcg8aoUaijKud3
										T1l2bXv6l+3TTimIqCrJb7VbAg1KpSGwakppQs3y6pl9dfEFqSWpIVFxUYGRiWGW+GhbTHCK88J5
										+4Lic2MnOQry+Lye7TkoA3kPpMI0uM47r+rYgh1CO5ggTTjfoQKTuiA/VibP8h13WcOszqFLrDVX
										GmYUSfu/iP9C1CGv9+3/En7ohRXxDeSdjId+aB10bEqmSjId2xK+M4XeVHKvQZXG0FDp6IS8hVfM
										zZhZVRGviUiNsaREqLW4XxKyorVx5eXVyZ2DpyaPHTWmluVGZOUWxOR35GeXZ4SwQ6sfvbDamDg5
										pUOjV8tkar1GblMbNAqFxqAeC8YdFthw4daBotNmZwfGFSSPvVJelTNrMdqwDvfGM/gpKhHf39d6
										bagxF+0Q8GMeZAq9DnVwbKWmKMksC0z1GQDXX41DFV47/s6o2eYIrJfP4EeE77URVoRnEL68aTmr
										fmgdE0+YieswJzRs3JBiYiKtvxiBG7BQfEYdnhJjTY7QVFw/b/HG1uTchVctqFs3VSOZMUp7pKCz
										ILsqzRSUUp4XmZ1bYI3zmayzdjZaqZObctoU9rbPfqN55dXZsxflTzqtKUcfV5jM114t2u0hPFPS
										II/JyW5bg4Nj0/m/3aflyYa55WLF9OB0wZz+uIxv3zAdqweZQSbMmCVrlwm3y1wyQSaLykSLbNWz
										ek6HFfNkHkisDf8CAg2BglEMVIVrWb0qHDOovnJE0QobTUt7CbfsiHf3tp0xvy1tZH4bf9m/PoIK
										yeI/bdvSUlfYYr1zkEsXBMXEK5gpqUCaJ6X4UEr86FvmKW3TS7tqsvQqbYAoyAJ0k+f0l67eumZK
										8ap7T+vZtDjrM3HugqyqzAiBHbGnF7VNjwsOC1YGxUaEWkL1geFhxqnrHlm/etcFlaUDt8+3nrY2
										flpTJr5zI/AT+w3yNfjO7fPOSqgBzMPCgq1ZqQnqYRa9taAqMtG3ChOHmeUhR1a1dYahWnrB8aWX
										UzLCMvfkju7J3YOW3A7q71hownaX1qOJrKCwTXgf4oHqO0clq8iEG2QBaoXSGBEXZk6K1N6hwgtF
										SPAd2qic+PjsaE1PcLAcVd3x9asbkyqTA1Uy2SfRtmClMkBpTJiSNlsdlhxdmDlq5/cQfjsRXsgs
										jE4OU9fNvWSuHS+iEUm4Vk/3HGEb5TPxUIyFCrLKLggVdkEU3pbaQQ0WduaDjghDDW2/l3E8jC7e
										OPpvph331vdNbnCIQhpbAW5Nts53YvkYXNzsnDLN2Tw1ztdRcR3uN9xdejXLmjF5Us2MKUU4e2dj
										T9fhiW6CEu+NSa8zMY2GadRMB0wjw0tx+4MOtaGSusMypf5I768281af+qQ9/Gavxjtz7KikPogv
										4M7OgXOpD0OpwfyVEgMaYYEbYgx4XdqqYfUGvh74S9YwzOodGkdGbWpEfE3EDOpCSVCRtC7S6EVS
										JNnS8L1KHj8KvqhwnXxjWKaCAjoFX9BGZccnZEdpg+OLErMW5vtGqY5MsVhTw9S1NzbNXV8fNz5o
										Njq9Nj+6smx0y/icnOULLZk1a+qSwQ5cO9X4jpWhNYIhCc7wrZ0QYQDfDjH4VOOGo10RMcwi8VZd
										a5MOdBv/t8AJb8SRtGMr6ruWmLCffGeI72XpO+tlsqnrhs9c7eqfNG3dw2eucfVNGhs15TSVTGou
										MIdmNxcXNRdEsoO9Oy+uLT17eFXv7y6qnX728Lml3bPtKQ3dVciMlJnd/CYxdq0McJQTbxKxBWrf
										TeKCf3WTqDE0/Mc3iX9Xx8SbxEmWwLfdJPDFNz9p+rSp1vG1EJFiicEbRVLdzKbMhfwmccSYUpYT
										kc1vEu152RXpJjayeteF1XqL3TI2z7crZG/4Fsay5GkpIfUXulcXLZudrec3iX1lNTmNi2nfCDuk
										W3aPd98k6nG3OrQQqVdb1JlqUSeq+QsHdwAexE0OtSOtNlFvstaYpHUfVETrfgF/k+3x7hj1v89/
										wrF7si0i2Uch7MC3jDogJCImyJSagRvlhA1iK540KUoXYw3XyGWCWBdvj1TzYzZ+avroS9/cIt05
										0xP1olKl1ppScfQ1noPCJzj6Gjjo+yQ6XbA/GJ8Tn6PF10+5Iw60MjuzHyjEo0z9nrHQwQ+CQmuh
										IBYaC42h+qlsKv8cZuarYOqB6WZ5Sm2ogd/4IZQZZKGfjC8KtE8aH/xIWpuxqCgzc0FbmmGkDX/4
										QgviGukDrvV/ubVjZpf5dif9Nsau8MYVpolvwxCcgE+Kll7elDO3OitUKwvQqjRpDmdBXH5SSMK0
										+sb6aQk58y9qTm1wpAcHyERRqQ1QJRbVZcXlWA2JxQ2NDcWJLGZG/8wkfVi4KSM92mZSRsREBkYm
										R8akWaPi0h1zShynz0jVBpn0epMlzBwXojSFmwIjbSGWVGtUbLqjFWdpLb/tik/i2X66d41qkuiq
										axEWOPTBGTVJGnlETXy491cj9SdcSvmakw4y6VYb+F2yn+wGe+wzgHSOFRQeu8s+w7dobEo4Htez
										562vj9VE46GOizQoAQ/1jkLfHTZu4km99JLFwrhiLKBSOtaFRp8Gz7d3PR8LIF+Kh1kKWHbiu38Y
										rPjuv/whjTzBXG+ohJKS15/1ntC+j/HisVf7Cb9Le4upI9Jwy0SoWaTWkp+cnGfRyXWxBSkphVad
										zlqYklIQq2P3+E4P8TJdiE6h1AXrjjakTIrT6+MmpaQW2fT4UZ3/T+KzPJ/J81ksaCAMbJC6C8Kx
										dzGgFbZDEN60hx9WxJpUZr04A0pyc/fm5GA3uc/OSphw5ZB/S5hdVzyrYRoX9nxJwyweKmbPSTqM
										bZxbPO3UkwhabK3YJeyTr/ZZzCQosIOxguKhFLk5scpQhRbby7vyMreYz0DjJhs/rMVE6cOKSXhc
										ZYqLNNtC8E5tTrda083qseWqEFukOc4UwMIYV07PFi/3/SqD7ULryeX8w9v043UmE67W2/6dZ47/
										NX/FMS80+f3P5cWSb/VvnczL1pOX15zEv/hTeUXyd/CnHec/nuiVXSf3AQrJX0Be1fKj+Zf83u/9
										/t97ddy/9Ct+Rr/T7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3e7/3+/5qX/uci//7iC/EZ
										Au0gg3AwsmTPISjG5wEm4PNzpvc+r/R8wb+92PMxS2aC5018RnpexWeM5zV8rve8hc8rPYfYKin/
										Jd4nL3UZ5n8Rn5Ge9/AZ4zmIz/VS+Ep8Xok5P5L6kiHEAXi/B7pLeopSDwOlGA8LECCmgu+byO2i
										zBvGnouR3rAcwznesALDtd6wElaJC73hAEiVvhWah1VgFV/xhtXC7eNtaeAU8Z/esBZSZTO9YZ1w
										g2yNNxwIy5WG8W8Tz1Ge5Q0zUCof8IYFkKmMvu8Nh7CAMW9YBlqVyhuWY9jkDSswHOsNK2GKKsMb
										DgCT8jxvWAUG1VJvWM1mjbelgTTVGm9YCybVHd6wjs1QDXvDgVCgkfFvbpepvHamMNmZwmRnCpOd
										KUx2pjDZmcJkZwqTnSlMdqYw2ZnCZGcKk50pTHamMNmZwmTne8EKOZAF2fi0Qj0sg07ohW7oQ1kM
										/agrw1Av9EjPDtQsw9BKsGPKdFiO3gqzUbcElmJanxRbhFyEuVfhswtzlmG55ZhnIeqWYY5lUr4O
										lBVYV5eUdyXG+lC3Ukqj8suwB1aUDszHvz98LcZWY6gf27JK3zW+EMPLMa9V6vMAlubfNL4Se8Nr
										6fbW2o85Vnjb5DmsOMZuqU3eSp80lhpprItRw8c4gPpFUoleSbNc6nW/dxydmJIu1bxC0iyXauyQ
										vv88fUIrK7Ce5ZLFery9XImaFVKrVCcfZ/+EHvAWe6SxkL191qa+85a60QJWHD9ZnPdqBebtwPb7
										pRgfcf/4fJDNqBWr1PeV3nF1S7ZdKOU81uOJI+JWWyOVo1GfjnG7tB4mzmaSVNsKqYa1kh0GvDM/
										0d58xmj8i6T+8/HTvPRKq4GTWuRzbcU6esZHQ31c4s3Th7F13tr7cRQ0Q6vGZ6lDWiMdqF1x3Lh8
										q7kTe9Ihtd/pbd9+klU/+Rvj5N9k343xLjjFu2qWeddXPtZQiLvn+PwZ4/m/ffX3S/3oklYn79Pp
										4/Pis9fJ9uMS71rvGc/NVzOtgpWYf5G0nmZgjk5Iluycgnn+h7gzAY+quhv+uTOTWbMADpBExBFc
										gkJAREkh4o7KGhAo0VeZkAQSCEmYTIYMhkWlrohIqaJVRJu6QF9Eq+2rdklk0RCWVEhMFGgIGkRD
										muAlIPDlvr9zZhISoC39nu95vjn93fUs/+38z7np05Kh+rtbtc1T/fsp+Wg6mLJAlUQ1z7qOlxju
										fTDXQRWVs5XU+fQQ5Km04ixlCRm9XXttfy5ncEj7uR39pSodQpETVB4vUBL6VWwXqLkYau1ROsh5
										kam8mq3GyFR+nanatlvrLjEVvW8Lt/V1ehOaUxnKJmfnyQI1VrqaRxcaN3Qv66bjwUJlw4yOuMtQ
										7+XMDmnQHmv5StPccLSF+spURzl7ztVbvg/N0gRaSU/JaJjZMdKFpMo9r+eLt9HZ3tszpSec6/xK
										7vQuOed83dszzLlyjexkAalJSJdQ5m1fO3wdWTxD5bFclc/S/qmmITundbFpKAvkhY8hrULXhSry
										ClXLDJUTpDaZHf3Imjlq1vwrD/2/mhdn58RgJY2cA6HVIFH5Kl8UveMZOuT6oZ7x2em+vIK8WX7P
										HXm+/Dxfmj87LzfRc1tOjmdy9uwsf4FncmZBpi+QmZF4R1pO9kxftie7wJPmmZeXkenL9RSk5RZ4
										eJ89yzMrbV52TtCzINuf5SkonOnPyfT48gpzM7JzZxd48qjqz5xHy9wMT3qeLzfTV5DoudfvmZWZ
										5i/0ZRZ4fJlpOZ5sP2OkFwz0FMxLQ4L0tHyuZZN5hTn+7Hy6zC2cl+mjZkGmX3VQ4Mn35SG3FJve
										c3LyFniyENyTPS8/Ld3vyc71+KUeSEYTT052LmPlzfLMzJ6tOg4N5M8s8tM4e25moies5jUFnnlp
										uUFPeiHKh+T2ZzF+5gKPLw1dfNmoTcO0eZ7CfDkMPc7mSUH2Qqr781AoIFVK8yxI880LjSXNnJ6V
										5kOwTF9ih+lHtI/puT0vJ2MapkEZz42Jw4eGnw+Sz7uY3+9Ly8icl+abK3WRcp3142ysni8fp+dh
										gtzszILEcYXpCWkFAzwZmZ67fXl5/iy/P3/E4MELFixInNfeLpHqg/3B/LzZvrT8rODgdP+svFx/
										QbiqvJ6VxvBzZb3UvEKME/QUFmQyOALJ1540fJHpm5ft92dmeGYGlVh3TR13G2996gZPZRSGfLIg
										Kzs9q1Nbztm56TmFGTTFdhnZBfk5DCCtlu/LpkI6tTJz/Yme9rHzcnFpQvYAT+a8mbLR2a5y2ytf
										UCJVXQYlDirw+7LTQ5HTMboMmPa+RioBErIZheCVs8MnQzwjb0FuTl5a50GROS0kKSGAuthYXhT6
										8wv9mD2QnZ4p62Rl5uSfo9DF+EJ5YnBG5qw0pkFiWkF+Ufu/rWPE8q13oZ9GDXblIkbYDIOjKfwl
										ItS/LpQhRMc3zoV/3c0vRkZqmvxXhy62flSUqt98sfVjYmR905SLrd+tm6r/Pxdbv3t3Wd/c52Lr
										X3IJ9burfwXKzneRrC+/Ri9R/67TKBEl7hTxmkkM1mLECC1e3K31FVOw5gztQZGj5YmFWkA8oS0S
										q7SnxKtYbb22UnyofShK+Y6qMKeKGnr+Oz0dPmeMH/7FGPcwxjTGSGOMPMZYxBjPMMYLjPE6Y2xk
										jI8YYwtj7GaM/fT8DT01dh1D+7LTGNGM0YcxbmCMWxhjAmM8yBjZjFHEGE8wxguM8QZjbGSMPzNG
										OWNUMcZBxmim55/kv1fVdQxTbacxYhijLzWGM8YdjHEfY6QzRh5jLGGMFYyxljHWM8YfGGMrY/yN
										MfYzxhHG+Mn8Iq2F5uo6hvmbTmN0YwwPtUYyxj2MkcoYcxhjAWM8yRhrGOMdxvgDY2xmjD2MUccY
										RxnjlDlVczGGmzEu6zpGhNZpjMsYI5ExxjJGKmPMZYxFjPEMY7zKGBsZo5QxdjHGPsY4yhintQ81
										h3mM1psxBjDGUMZIlvPPbhV228kdO/jPjpN2i7BHlIZ+zXa+q51lSw9RTiytWrp/aTnFGiGs1ubY
										opqaInsEjalXw69Z3cTK57xRlfJrTpaWFtktht0yxNvslT+HSTjMpaUiNIBdfv2HBysN9Stb14Rb
										88u3dzxtpopZWC11odoWYY3IL63LH1Knaqt2RXaTZreo94xgsguT4+uvzWbNHrFu3Tq7VeukZoQm
										JVe/k3aHZnf9CzUdVuGwyYo7ZFN1FxkZWSzviq1WYbUV7ThTWlrsiDAcliTvBTUN37WrKhup3naE
										2/Mrsnc8PRnWr/k8VWUV1a7YYdIcIVU76xohHNIUDqvmsCtFlcQRmqNd2dKTDpfmiKrj11L3N+/X
										lO3eXRSbVdhsRculWsVOq+a0tyu846S6bdd4R7HNqtnsiHymdEuRM0I4Izp09jpNmtPSoXRp+Lb9
										pxqG+tzR3olU3Hn2+UlZzaLZwqqra6vSfUidahJqXSx7bg9Tqb5TmFw7SneUWiI0p02GgtOmOR1n
										2rZtk7SdkSrY2uU4c8YZqTmj6/Kb+dVukmX3kN1DtlFCIp5B1TPFLpvmcsj6++hiW9s+dW/lF1D3
										gZAKZ7ADdSOEKyKpyOs9efJChnCZNFcnQ5TabJrNobrdtk1dF6sui50dz9v2yWoRaC8nUYclmku9
										Q5rrVBPVuC0gu263xLmmcClTuOyayxkyxebNm9vOuKy86BDlzBlXlOaKqUuqS2oualazd+eanWt2
										r/ks9rNYOWdQcTmeP5MTadMiz9oDCdWDDoMgi92m2aUqbaWfthVHRojIzibxho3QbpPSSJMW2dko
										par5vrYGpVl7X8ourtCbbe2GUdO35mRdqBk3tqKTpc1FsSebVbNtYdtEmkyRHYEfMo5migwbJ1IZ
										J9KpRboMYSwtU6XTFddSQftZ+draIqO1yO51fer6NCc3J9fk1OTIYPxs+WfLN0dujnTYNAcSP25d
										LMeOsmtRzpC1DmP2w2371BMzv5FL1JMlIx12zeFMXnx4s1F6cMmoqAgtytrZYF5poYhOFiuNMmlR
										EaWdf6qLA8ahzerX0SHdL06OlHcdw8vKJAJbu9lKVZIoOrOlrqjP8jNFqmmol8+Mh6NMpqizllOm
										i9RM0XKKRCCmXaVbEd69OMUbpunCnB705Qj3bF/mXDEiJ82fK8bxRrtv8u0eEcuO0FC7Fit7CXf4
										ThM2Vv2e6nnoCesBa3QvivnelJR7xJWTJ473iCFTJo/1sOqF6sj9Yzf1/6locO1kRWzv3SJcooeI
										C98RfqyX8eLS9PyCfFGijuvVcZM6/kEd/6SOn87lo1F8ro671HGvOn6ljnXq2KCOjfLjRhyTR82q
										jvHqmKiOt6vjNHWcM2/uvLnaYnV8XB1XqOML6rhWHd9Ux40du8B/d9Qu8shqgG1YN7CwXci/fP//
										e2bCD1H/8Vn+f5YlisnqL2SPilXiDfG++FR8IerFMfY9DqWpPaxto5B//zfTzq3+xVi5QxsROj+5
										N3R+9eVObYi3w/Fd7rUIf9d769qu946nu95H9uh63zfQ9f6Kc973W9X1fuDbwmHqdD8op9N7q9Bu
										+aDr/V0mzk5iOkGkoE80bR7FVENMKWKJqcT0pVhnftX8qthr8VteF1URe6xPambnfc407SPnEy5N
										+zyyW+RdpjsiH4hcawpGZUTNMf05aknUctOWaFO03fRF9InoE+yTtUdSpG2se6I2XbBsp+yNOtCp
										fBMu2y9QmqL7dJR+lGGUUZQMVVadW6K2R78SvbHbynB5uVMpUeXUhUp3S/cxHWVZ9xUdpTlUevS6
										QEmgJLpXdyprQ0W9Oae4f+f+tKN83vMrSp0qbRcqPRJ6Rfbq13tZuDzdqaxW5dMLlsrep9pLrDs2
										vqPcGS5jLlhSVJkWPnctS8NHWW+bKns7Sqj1gdjmuGvjMuLWxr0ty7m9x228UAn1Hvc/cfXhop8t
										cpS4U2qspZLLxvVP7Ci39h/dUaaHy0MUf/+HrryaMuyqflcl9X+IY7+r/nD1n67Zrsp3CRMoGQPi
										KZ4B1QMaoXrAsWv/dN0qWQZUX7fpugOUkwNNA+0DN1I+TxxKuTNxwuCV4fL+9f4b4m/YN+zxmxIo
										Q4dHDp8wPCfpzXDZlPRx0ucj+lIGjgiM3JHcKsvNxTdvVOW7UX1HrQ6XtTd/x/3qUTXqrmbU95TV
										t7hvDdxacluvu26lbLs75ebiUG3ONaFa914t6907bIwTo149ZuXYaFWSxk5WRR9nGhc7rt9YnasU
										yqzxYrx1fMb41vGtE/pMaKBe0sQpE6eMS+E4U15Rsib6Ji5NsaoyMGWCKt6UXPCmFKU8mlLEe19K
										zaT7J3knHZt0bHK3yWupN5B36s3kkylF9828L2fqrp/fOb36wZUPvvxgyexHZ9dkTcsqaj9nrc9a
										nz0kd0XuuvzW+WL+qPne+XPm++c/On/T/E/nfzO/af5Jn9Xn9l3rG+a73ZfiayroVnB1QX7B4oKV
										BdsK6vwj/FP87/vrCuML9xaeCgwJzAoUBV4OfLAgfsGUBe8XZRU9XfRB0a6iuqAz2Cc4OrgyuH3h
										lQtHL8xauHDhsoVvLty08IuH3Q+PfnjNw+8/zBdWcWzxmOKM4o3F3y26dpF/0cZFdYv7Lh62eM7i
										JxdXL3EvuX/J20salvZZ+pd/krU2nZuZuuadpd+cLTKjPBJ9toRyyT+ZfWPOnXNdZ0oo1i+Yf9pz
										UKfSNYs8MuxskfnhkdvPllBmkNm0W0nstt6rych7R9WQP1U2Vmcyb/cxZNpV0a90Wxm1vT17dl8R
										tbd7c//psm3UpuhVZ7NoyErk6VEqE4dq9Yl+pd168qnKyrLuXvle1Q9bkH43RR0gp79Ci72qt+1I
										t5LzXlXOrhPfnLM+jOq0IpxdE16Rcp+3DpScuw6Q+y3hvL+sPeOrfmgdPYrrVe25EH+8HfYX2SmU
										gUIZLuxHsiI5UHptekd+bPcoWS52jKx/1sP9R9OPfK/zPCWunvvzooEcuLdTNr1Aju2cU8/Pp+Gs
										vU3FUSiD3tqeO2VO58lo2S/3o2NTbkqYOKVnW2glU2dWrd6nWKvaekWyDoVXnvYVpUevnm1nV59Q
										PMr1Tdbv2SZr0PrTXpHyjXyi1jKeyHc9ekVtb4/T2Hje1zECffRepu7U87Mrauc1Vcqk1s/2FbRj
										DWXNjLzAmrn6vDWzMrRSska623Xh/amQHEqSZWOTen4VeyeydfGGtOK5M7fd4qEZKW0bipj+07H+
										GOlbaZfYFPdq5fm3pac6ze7EuI09enWstXvDvS4NxYP0Syi+4jZe1e/Kq0OEVrUrr1YrUaciV7XQ
										iqbWxP/LotbRTuX8Gmp17VTCq2xHOb+FWl3/o6LW34suHav0PynnWkqWjrX7nxS1ml90UTuMiyzn
										WkftSzqV8+2n9iudioz0kKf/s3J+z/9euosrITvL/Ur0K8mtY5w3fxe1V+50VCmWT5Jb5e5G3t1c
										PMYp9z2hd7Kwaxood0qhp2ot+j5U1I7oVrWbkvummlE1ak8k9001tChW+xFrx75FloEp1okzU6xy
										z6LuBoZ3NqHrgex7suQTtbuhnTzLIuvTwqp686q3A+UxbiO1B8r9U6/IsdETZ8q9ltxnqZKknkTL
										fZa6S5o4U2ai8DuKTBNyR6Z2aCa1N6PI+rSQOzhqyt3Y2f3Z2KRR3yt7fCctMelYyA7JrUob5A3J
										OS5F9qz2eybZV6jfrvPwfH92joJrtofuhFUrNXaZxxu/M08VcebpIsbsMw6b/yIGCBNvKrirUVeN
										5qnGYaFx/EmYOO4xTzf28G2+wWgVW4xWzSv6a2liqjaTc7pI0DJEX22u6EvNSdScYc4xyoVGP98K
										C3VjqNuXujHUdar+GqnVIhzaQyKe94N4P4P3g3k/iL6G0lcCrd9S8ri4eh95+5qLjTLzIuM15L3B
										fMh43fyNGGT+Vgw1H+bdEaPG/D1fu+3S1gsLV5dz1RdpNtDTHlEkYsSNohuMEFeIkZBB/5kwCwqM
										/cKPVIUQgAVQBEG+cBcaW8XDUAyLYDE8JuLEMvgFPA5PwJPwFDwNz8By+Igv8I/hJNdtYIg4TYAG
										KSJJmwST4T6YAtliorZN9EbjGeZpItn8gIg0z4AckWtegqaPiP7mx0Rfy2vGVss6eB2+EHGWPbAX
										qqAavoQaqIWv4GvYB/tFXEQ3oyaiztga8YOwRDRyfRSaja3WCHGjdQDnG8QV1ps45xg11nmQC3lQ
										aOy3BgDbWLGNFdtYFwK2sb4rkqyb4I9wQiTZrhW9bdfBDBFn88JMmA8+CMJSeASwkW0lPA+vwesi
										wbaB81FogmZogWNwArChPR0yIBMKRW+HEEkOt+itYreJuHaqqyN4/aToSdRuJ2q3E239ibaxRNuj
										RNv9RNsMoi2FaLuH2qXEy+3macTKz431xM1U4uZJevCb/2K8bD5EnH0rnOYG46/mI2KsirPD1GoQ
										3TtmxUMiuVP/M+i/gP6n0v9t1J4Z7nsLrW6m73X0vSHcX4qI7tSLk16G00suvSTTS3J4TgxHysP0
										dB89PU8vKfTwV6XpH9VVLH38mT7+TB8J2gzjY/pJpp9s+hlLP/fTz2gt2/iCvpK1NcaHtPyE/nrQ
										XxDJCugzHsmC9LbKXG+0IN0W83fMrCPE3PfhGRvVacYOoteh4dkvZ2wVLfcz88YbrxK/rlCGkX/T
										5XmteEk8ZjSKZfALeByegCfhKXganoHlsN04LSpgB+yEXbAbKuFv8AXsgb1QBTWw32gTB+DvUAcH
										oR4OGZXiG/gWjhlfih+Ng0KH49AKJ+CkUSV+Yk6fgtNwBv4PtCGLYTRqAjSVFRvM9xvN5v8yWs0P
										cfYarZYvjEbLHtgLVVANX0IN1MJX8DXsg/3wnXHacgS+hx+gEY5CE/wDmqEFjsGPoAOyWNrAYM72
										MCpttxqnbXfBGBgLE4yDtimcp8L9vH8AHjK22mYYjTYvzIS5vJvP2Qd+rhdAEQS5L+a8lPMj8DjX
										TwB+sD3HeSXn5+GXXK+GX8EL8CL9v8bzN7gu4XoD1+9y/QngIxs+suEjGz6yfW202fYBPrLhIxs+
										stUh40GoB3xkO2J8afsefkCXRjhqVNma4B/03UzfLXAMdOriO1srz09wj4/s6ZABmfjLJFYIN546
										JcxihVHbsXpFcPcRd8u5W0SU15h3i35C42mruJPIrCYyq4nMaiKzmsisJjKricxqIrOayKwmMqup
										fYBIO02knSbSThNpp4m000TaaaKokYhpJWJaiZhWIqaV8XYyXp35QWZCGsw0vjWnG98SNdVETTVR
										U03UVBM11URNNVFTTdRUEzXVRE01UVNN1FTjyVY82YonW/FiNV6sxnOteK0ar1XjrVY81YqnqvFK
										Nd6oxuqnsfpprH4aq5/G6qexaiNWbcSirVi0FYu2YsVqrNiKFauxYjVWrFYzdqewYcskZrKVtfdV
										1t415kpxhflvooeZ1UbZ93DYvgeVfZ/i7mfc3YF9i+TeQkxnnXSzTrpZJ92sk27WSTfrpJt10s06
										6WaddLNOuhlpEGtlPGtlPHP2AHP2AHP2AHN2P3P2OHP2OHP2OHP2OHP2OOtpDHO2ljlby5ytZc7W
										MmfxN9l2mkhgnh5lnjYyT48yTxvNM8VAczrkiIzwOno566ibtdPN2ulm7XSzdrpZO92snW7WTjdr
										p5u1083a6WbtdLN2upmLtczFWuZiLXPxAHPvOHPuAHPuAHOuljXOzRrnZn1zs765WdfczJVa1jY3
										a1s8c6WW9c1N/B8g/g8Q/weI/wPE/37ifz/xf5z4P876F8P6F0P81xLzB4j548R8LWugm/XPzfrn
										Zv1z46npxlEZ9ejI3GaXtoLsPZW1a5pxgKz+a94/iT8+5O2bxPxQ8xdcMyvNVaxj0odfUns/tWrI
										1CuMxdwFaVtLW/k0I7wO7qTtINruot1oYaXmm9RcRM16av6dmnPULktGznrV0wO8H8/7XbyXMXI7
										PS3n7ev0lEBPW+hpoKrfqHaLh9SxlfUvhr3g/ZAD8yAP8mE++MAPT4vBortWqub6K/S+So6uPLsO
										PhHDzGVQzz73kBjNXjGG9dvNXjHO/B3nI+ysvufZD+zMzLTcRYte7Czj5MpO+xyRzDp2P/uuB0SK
										+SG1B2OVRrIEJEtAsgQkS0CyBCRLQLIEJEtAsgQkI/oY4wF2bA9xniFyVUs3Ld20dNPSTUs3Ld20
										dNPSTUs3Ld20HErL22g5lJa3qZYxtIyhZQwtY2gZQ8sYWsbQMoaWMbSMCbccG24p9ygP4LEZzCtp
										44/VTuEU1qqX/7sc1vJJMBnugynCwQ7OwQ7OwQ7OwQ7O4ZD/Wx4LFu5BmzlYeJzaj0sffSP2agnG
										IW0AXAvXwUAYBIkwGIbA9TAUboBhcCPcBMMhCX4GI2AkJMPNMApugVvhNrgd7oA74S4YDXfDPXAv
										jIGxMA7GwwSYCC8b9dqv4RVYC6/BOngd3oDfQAn8Ft6Et+BteAfWwwb4Hfw3bIR3YRO8B+/D7+ED
										+ND4EYvUa2XGfu1T2AxbYCts4/lnRrX2OZTDdqiAHewndsIu2M28vZ/IfcjYY9lq/GjZBp/B51AO
										26ECdsBOVoNdsNuojuhu1Ee4jUMRPaEX9IZYiDMOWZ+Dl4x6KzawrjUarW8aP1rfgrfhHVgPH/B8
										M+ctsJXrSqPauof67FusrcYh22VGva0vXA4euML40dYP+sOVcBVczcpxDSSQtwbAtdS7Dq6Hodzf
										wLuRrDbJnCcbP9pNxiG7GSwQAVawgR0c4AQXREIUREMMdIPu0AMuAbdRb+8JvaA3xEIcxMOl0AeQ
										3478duS3I7/9CugH/eFKuAquRqah7BtugJ+x8o2AkTy7FUbD3TCD8WZynsW72dTLgmyYA4X0sQgW
										wxJYSt3neP4b6r9F/beN/fZ3uF8Px3h23Djk0Ix6B7o6LjGqHejh6Gk0OjzEUJFmIlrMYIEIsIIN
										7OAAJ7ggCroZh7Xu0AMuATf0hF7QG2IhDuKJsL7GUe1y8MAV0A/6w5VwFVwN10ACuWYAXAvXwUAY
										BIkwGIbA9TAUboBhcCPcBMMhCX4GI2AkJMPNMApugVtB5rPb4Q64E+6C0XA33AP3whgYC+NgPEyA
										iZBiHNEmwWS4D6bAVPSbBj+H6ZAKi9BlMSyBpfAIPAqPwTL4BTwOT8CTwFeHttI4pT0Pq+CXsBp+
										BS/Ai/AyOfPX8AqshddgHbwOb8BvoAR+C2/CW/A2vAOshtoG+B38N2yEd2ETvAfvw+/hAygll5fB
										p7AZtsBW+Aw+h3LYDhWww2giizSRRZrIIk1k6SfI0nmsA3Fk/mTWgTiyfzJZ+0sLGc9CxrOQ8Sxk
										PAsZz0LGs5DxLGQ8CxnPQsazkPEsZDzLRuOo5V3YBO/B+/B7+AA+hP+Bj+Bj+AT+BH+Gv8BfoRTK
										4FPYDFtgp4ix7ILdIiaiu3BGuEV0RE/oBb0hFuJEtHW5cdT6LFnoOa5f4HqNcdj6knBa8QHZrMm6
										jnfoYv0t75DZisxWZLaSpa3vGkesmwB5rchLlmuy/oH6f+TZR7z/GJDXirxW5LQiJ9mvyfoZdbbz
										roL7HbATdsFuqBQx1j2MzReelS88azXPvjROkSmbrF8hG1911sO0/YHrRq7ZY1vZY1v/AXy5WFuo
										fwx+BB2OQyu6nTCO2KKNo7YY6AbdIdY4ZYuDeLgU+sBlwmnrC5eDB65mV3gNJMAAuJ5nQznfAMPI
										vMNhpNFkSxYxdpOItpvBAhFgBRvYwQFOcEEkREE0xEA36A494BJwC6e9J/SC3hALcRAPl0IfQE47
										ctqR046c9iugH/SHK+EqIM/Yr4OBZMRBkMj1EDLn9VwPNZrIxE32YVzfBMMhSWZm9BgB47geDxOM
										w/aJtEs1TtlnINss3s2mXRZkwxzgS9fOvtK+ABYx7mJYAkup/xTjMefJ1E32Fzivoa+X4GX4NbxF
										f2/DO7xfDxt4plPvOG1PG6ccwjji0ITTYSdzY0OHk3N3nl8iYsjmTQ5WJUdvnsVCnHHUEQ995F8k
										5ewO76WeYlbWq33ZXzueL+P5Y+ovKHKP1SIiTPcY08zj5V+mhFP+VUu9G2gaYjSYhsFw47DpFs73
										GHtN9xpbTWNhvFFJTzXsKBrYUTQ4pxtbnffDE1w/CU/B0/AMLIdnYQU8ByvheVgFv4TV8Ct4AV6E
										NfASvAy/hlfgVVgLr8E6eB3egN9AidEQeZ3RIMxI2mqaztewlH8k8uvIr5tGGDXIr5vu4PyUcdD0
										tHGQvOUhZ3moudV5n1HjnALT4L8g3TjonAM5kAv54IcnDB3ddHTT0U1HNx3ddHTT0U1HNx3ddHTT
										0U1HNx3ddHTT0U1HNx3ddHTT0U1HNx3ddHTT0U1HNx3ddHTT0U1HNx3ddNcY46BrLIyD8TABJkIK
										TDIOoruOD4cbX+KhGpPyo/GJ+lvE5ei+Ab03mB4wPjFlwDx4yijHBuXyawTdN6D7BnTfgO4b0L0c
										3cvRvRzdy9G9HN3LnUXGJ84gPAyPwC+MT5CrHLnKkascucqRqxy5ypGrHLnKxW14IIAHAsjWgAcC
										yHeKCGohglqQ8yskqUeSevPUthPIGxP+mhkU/poZFP4bYQ3R1UJ0tSBdPdLVI1090tUjXT3S1eOZ
										AJ4J4JkAngngmQCeCeCZAJ4J4JkAngngmQCeCeCZAJ4J4JkAngngmQCeCeCZAJ4J4JkAngngmQCe
										CeCZAJ4J4JkAngngmQCeCWCBeixQjwXqsUA9FqjHAvVYoB4L1OOZgLgDK3ixghdf7MYKXvyx23SP
										iEf7VLRPxVuJfL2+Hv6GviG8rg4Or6uDw9/FXny1G1/txle78dVurJGKNVKxRirWSMUaqVgjFWt4
										sYYXa3ixhhdreLGGF2t4sYYXa3ixhhdreLGGF2t4sYYXa3ixhhdreLGGF2t4sYYXa3ixhhdreLGG
										F2t4sYYXa3ixhhdreLGGF2ukYo1UrJGKNVKxRirWSMUaqVgjFWt4hY1YaEHjAWi8GI0XoXFPNMxD
										wwdEHDZ6D/u8h20qsU0ldojBBvK/P1qP/u+h/3vo/x76v4f+lehfif6V6F+J/pXoX4kclchRiRyV
										yFGJHJXIUYkclchRyVzJxtJd890xMcg0iSidTq7LJs/NIcfNhRzINarUXy7ac90icsYSY6vrYaPB
										VQyLYDEsgaXwCDwKj8Ey+AU8DuRGF7nRRW50kRtd5EYXudFFbnSRG13kRhe50UVedJEXXeRFF3nR
										RV50kRdd5EUXeTHaAU5wkfM09dcvKbvOHK9ljtcyx2uxmwu7udTsKTJqmbu1zN1a5m4tc7cW2XVk
										15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15FdR3Yd2XVk15Fd
										R3Yd2XVk15FdR3Yd2WXOmm7sw9o1WPiTjpwlNdonhqJRCe+/5f0pvNGKN1rxRit1v6LuEOomM1Oc
										aJrATHGibQJx9KzM/XioFQ+1omUJWpagZQlalqBlCVqWoGUJWpagZQlalqBlCVqWoGUJWpagZQla
										lqBlCVqWoGUJWpagZQlalqBlCVqWoGUJWpagZQlalqBlCVqWoGUJWpagZYm4EU2C+GYnvtlpyha9
										8M9ONMhkBjQyAw6hybNo0gdNrkWTPmhyLZqsQJNN+G4nvtuJ73biu534bidaBdEqiFZBtAqiVRCt
										gmgVRKsgWgXRKohWQbQKolUQrYJoFUSrIFoF0SqIVkG0CqJVEK2CaBVEqyBaBdEqiFZBtAqiVRCt
										gmgVRKsgWgWZx9PVPE5Ciy/Q4oPwfx8r9xVvChf6lqNvObqWo1dPdOrJm3fRpxx9ytGnHH3K0adc
										WE2F+DhABC8wjpiW0fpZ1odfyb+x8/Qn0zKjVWgcT4gB1DhhKuJZUD3fbXpcOExP0Jq9vOkF0c20
										hucvGT+5LoU+cBn0hcvBA1dAP8iATJgFsyELsmEOzIUcmAe5kAf5MB98UAB+KATkcy0AZHIhk2uh
										8ZPS5yckbTAtMv6BLodNq40m04vIf7/JR14rgEKeFqFlEJYYX5iWwiPwKCwTl5keN/5ieo56K439
										pudhFfwS1hifo9/nLhO5zAwWiAAr2MAODnCCCyIhCqIhBrpBd+gBl4AbekIv6A2xEAfxcKnRgg1b
										sGELNmzBhi3YsAUbtmDDFtcI4wvXSEiGm2EU3AK3wm1wO9wBd8JdMBruhnvgXshAj0yYBbMhC7Jh
										DsyFHJgHuZAH+TAffFAAfiiEACyAIgjCQuNzYSFyDmLFOqx4xPSCcZpYWmZ8T5ycECl4QccLeqdI
										qmLFaWLFaaJGE1bWTXKXlm40scI0scI0scI0scI0scI0YX0d6+tYX8f6OtbXsb6O9XWsr2N9Hevr
										WF/H+jrW17G+jvV1rK9jfR3r61hfx/o61texvo71dayvY33930bwGOQYC+NgPEyAiZACkyCDPjJh
										FsyGLMiGOTAXcmAe5EIe5MN8wDZYV8e6OtbVsa6OdXWsq2NdHevqwo51/06EtxLhjabFxPAy4cba
										9Vi7Hmu3iHxsXIaNy4j0BmruwtYN2LrBtJCZughPLKblEqOZyG8m8puJ/GZ6seKHCvxQgR/+YVpB
										xlxpHGIGHGIGHGIGHGIu7SU3lOOjKnxUhY8q8FEFPqrARxX4qAIfVeCjMnxUho/K8FEZPirDR2X4
										qAwfleGjMnxUho/K8FEZPirDR2X4qAwfleGjMnxUho/K8FEZPirDR2X4qAwfleGjMnzUgI8a8FED
										PmrARw34qAEfNeCjBmZIMzOkmRnSzAxpZoY0M0OamSHNzJBmZkgzM6SZGdLMDGlmhjQzQ5qZIc3M
										kGZ8XIGPK/BxBT6uwMcV+LgCH1fg4wp8XIWPq/BxFT6uwsdV+LgKH1fh4yp8XIWPq/BxFT6uwsdV
										+LgKH1fh4yp8XIWPq/BxFT6uwsdV+LgKH1eJbDzYiAcb8aCOvz/Bizqe24fn/oHnWvBcC55rwXPS
										/73x/0d4rxHvNZqe4dmzePo5YyMePIoHj+LBo3jwKB5sxoM/Eid78OJ3ePE7vNiIFxvxYiNebMSL
										jXixES824sVGvNiIFxvxYiNebMSLjXixES824sXG/yXu3uOkru97j/92Z9hdhlkmUTRqjMZivKXG
										u2li0tT2tDQ1Jpo0KTWNSRtMg7GaCxhveAMveAFRbgYvEBGFpWqNmLIkEAQRb8PK4jIkDLvgZmbW
										HXb87cIiS+R7njMhHpPTPs7p43EePX+8Hr+Z2d/8ft/v+3MfmZEVy6xYZsUyK5ZZscyKZVYss2KZ
										FcusWGbFMiuWWbHMimVWLLNSzEoxK8WsFLNSzEoxK8WsFLNSzEoxK8WsFLNSzEoxK8WsFLNSmZXK
										rFRmpTIrlVmpzEplViqzUomVSqxUYqUSK5VYqcRKJVYqsVKJlUqsVGKlEiuVWKnESiVWKrFSiZVK
										rFRipRIrlVipxEql6FRWGmSlwVo0TokyrBCzwgArDLDAIAtU56YB6g5Qd4C6A9QdoO4AdQepO0jd
										QeoOUneQuoPUHaTuIHUHqTtI3UHqDlJ3kLqD1B2k7iB1B6k7SN1B6g5Sd5C6g9QdpO4gdQepM0Cd
										AeoMUGeAOgPUGaDOAHUGopNkhiGZYUgW7lbPU/V32sVdNf+xeo9nY66/3x+GRNyQiBsScUMibkjE
										DYm4IRE3JOKGaD1E6yFaD9F6iNZDtB6i9RCth2g9ROshWg/ReojWQ7QeovUQrYdoPUTrIVoP0XqI
										1kO0HqL1UPRtWnfRusuKy1ZczV9FUVAUBUVRUKzp/7sImM7L75ENZ+Be3AcdfH31k43/3Nu72KOL
										PbrYo4s9utijiz262KOLPbrYo4s9utijiz262KOLPbrYo4s9utijiz262KOLPbrYo4s9utijiz26
										KFimYJmCZQqWKVimYJmCZQpWo6EoGoqioSgaiqKhKBqKoqEoGoqioSgaiqKhKBqKoqEoGoqioSga
										iv8X0VBgoQILFViowEIFFiqwUIGFCixUYKECCxVYqMBCBRYqsFCBhQosVGChAgsVWKjAQgUWKrBQ
										oVbjK7rS7dHZ72avmTKOXpL2Zdr/92SUcbgE38I/49sYDza3x7I9lu2xbI9leyzbY9key/ZYtsfy
										iKovTMSV+CH4mz2W7bGsx73Sjv5XzJRF/C75thrpg3Lq4P8pRvTuV+qxp/DjW/nrnR7fpVeabvqe
										HR0UfZ5yfZTrq3Xlk3C9s6Y4TpX374C5T2xWq3PsXSfWuttZHs8N/RTu590V3l3h3RXeXeHdFd5d
										oXwf5fso30f5Psr3Ub6P8n2U76N8H+X7KN9H+T7K91G+j/J9lO+jfB/l+yjfR/k+yvdRvo/yfZTv
										o3wf76vwvgrvq/C+Cu+r8L4K76vwvgrL9LNMP8v0s0w/y/SzTD/L9LNMP8v0s0w/y/SzTD/L9LNM
										P8v0s0w/y/SzTD/L9LNMP8v0s0w/y/TXppU9lHr53bkljhK1ucYkzUr7oi/TtoO2HexXYb+KWrrb
										X7eyxAj6luhbquW/6aw0U0aZpVOaq4O9P/TQtUTXEl1LdC3RtZSq1ob60EHXDrp20LWDrh107aBr
										B1076NpB1w66dtC1g64ddO2gawddO+jaQdcOunbQtYOuHXTtoGsHXTvo2sGnKnyqwqcqfKrCpyp8
										qsKnKnyqQvcS3Ut0L9G9RPcS3Ut0L9G9RPceuvfQvYfuPXTvoXsP3Xvo3kP3Hrr30L2H7j1076F7
										D9176N5D9x6699C9h+49dO+hew/de2oaV3XvpfHb0UH1y3jy6vB8/XP8ck2YUP9CeKR+IPyyfne4
										o35veC3RHHYkTg69iVPC44kzQ9e7/075K9ERib+LMgf+vfIO1lrIGk+IsOd4/xo97FqWeB4viLT1
										LPOyx1m96CaWfN2xA6XokPoeVWy39w16/x4MuVsUOhONaILa6O7FxGlePx1n4KzwVuKc8Eb6G6Gc
										viS8mP4O5If0FY7USFMjLR+kr3WcFErp63EDJnvtLq/djWkw76Tv89pMzPGY96QfcI2FYTC92PWf
										xFOhN/1veNprP/F8uaM9pdu89ho2YrPnOfzK463oct7O0JkewJ7Q2TwqlJoPwaE4Gh/GsV6/NLzY
										fJPH1tV8W+hpvjv0Ns/C/XhEx/I3B1Tdzkb7qLqZqnmq5qn6DlW3UrVI1c1U7afqZqpupmYfNcvU
										LFOyTMkyJctU3EPFmIoxFWMKVii4nYKbKbiZgtspuJmCRQoWKbidgsU/UHA7BfMUzFMwT8EiBbdT
										cDsF8xTMU3Az9SrUq1Avpl5MuQrFYorFFIspFVMqplSFUmVKlSlVplSZUmVKlSlVplSZUmVKbT6g
										1HZK5SkVUyqmVEypcnRM/ZIwvn5ZWEqpdXzwNxR6giql+m3h+/zsxvqesIhnj6/fFVp59kX8LJ9I
										hFyiIcxLpMPtNU8fFU5JHB1dmvhIuI3X/3niY+GbVHuO53+Oz61I/Gl4JHFuGHfgE6n8gX+VfGli
										fFglClZEaXfvYKcOd3/F3brZIutuO1y97IoDrtbharEYOkcMnRuNtO5B79roXXu9qxofg9Z7unfn
										DkRgybp2WteRrtDhCgVXeD1qru10jc7phfCUd5zhHdvdb6t3tdvRPu/c7l1HH3hXzrs6ow/xqIp3
										9fGkAZ40wIt6edEuXtTj3rt5UQ8v6uEVPbyih0f08IhdPGIXb9jFGyq8ocIbKjxhgCcM8IQBnrCL
										BwzwgAEe0MNiPSxWYa0BOb4UHWstzfa7UF+3xH3/3RqWY314u/ZveMfygKtCn+sXXL/g+oX0/Z4/
										FPpcpxAlvWuvlX/LO16vWlbeWBJeYvNOr77u1Ww976rpt02+GEW7L4fXXff1aKy7TnP2jWKp4B1P
										ufskd5/knXsosZsSu11hc/3LZvOs+2yiyOuOHciFFldcxoM21pd5QwqjwlUJNTWhpibU1MToMDlx
										LD7Cxid4fiJO1l+dye6f8fjcsMtqPms1nxVzBerupe5eMVeg8N70d6NR6e9Bp0aFSelrPZ4UplFi
										GiWmibsCtXdTeze1d6en+/t9XpuJOZ7Pxf3e94BrPeT4r5R7AivC5PRax1fwKrLYgl8i72+djtux
										I0xujsJzzcNCS3MDGnGM58fh0rCXBaaJvQJr7m6ezSJzMBc/woOhRUVeXfPEHSz9V7LOfllnv6yz
										n9X/QoTvF+H7Rfh+0bw/OpI9YtqXaV+gfcG7mt+bm+w9tvfY3mP7Lth3wb6rey3Ya+HdvPIf5BRr
										ja2z8N4cUZdyx4k84BbWb2X9yaw/uf7nLLoSq0Xr2ujQ+ufxghzyMj/d6PVq/sipiltM37/Er7AV
										eWwLt9V3Ou7AG/yv2/HXKKIU3cRbnq5/0+NelF1jp2MfKu77FmKP+zEQrpKT2mXsooxdFL3jq7mp
										fp/XfoN3wqb6/Y5BVNehHtW8leRtwzxuCE/yyAmJEbWov0HUdyUyYWbifXg/DsKocC5vvYi3XsRb
										L1JTlyaOCPMTH/S3I3F09LXEMY5/hNHhfJ58Pk++PnGc58fjhDCWR49NnOTxH+Pk8EW5cYKs8iqr
										LWG1Jay2hLdfIE+2Js52zsfxJ+EniU84fhLnhIWJTzl+Gn8apomKixJ/5vG54UaR8S35dLt8Wv2X
										2dckLoqOSlyM8WFD9TPy9PiwMX0pvhuNFCUjRchkETKSl0zkJRN5ycT0Tf5+M27HVNyBu6JD03dj
										GqY7f5bXZmOO53Nxv+vM8/whx4fDzPQCPIKFYWn60TBfFVuYXuJ5C5biX8NYUTVWZVvIA5fwwCX6
										gqWq28L0M+En6WV41nnLvbYinJ/+mcc/x0qvr/U+vpVe77ovee1lvOK1V5FFm2u9ho1od/5m5+aw
										xd9+iV95fSvyrrsttIvcsarnQtF7keg9P/2G1/hgmg+mC+CH6RJ6wutpfpjmh+ky+GC6grcQ23c/
										Bj1+O2xK78WQx++Az6X5nKwwoZnfNfO75kTY1Jx0HOa1BjSiyfPhskcKfLA5HV5vbsZIjzN4n9ff
										j4NwsNdHhaIKX1Thi80fcL3DnHM4jsAHcSQ+5Nyj/f3DOMY9/shrMqxsNKH5hrBRhE9svi06tJmt
										m9m6ma2b78RduDssab4vzBf5S2SqsTLVWJlqrCywRLYa2zzPdR50nYdd8xHXX+j5o1iEx8LkWifx
										bVniJ7LCizqJThnh5zLBr0T8VJH9A5HdImqXitrV6u0uEftTEdstKjeLxrWi8ClRuFHUfVZkXSKS
										HhExd4qYn4iY7aLkTlHysihYyfvnHfiO07O8/9naf9P+ftgQ/ZN8tchKFqlY6+ufVKOXhZflrUfk
										rUesqpo9/132XCN7rlG5Fh+o4avVwJLVdqteq1Wv1fLXYit/Xp4qWHm2WsGsuijfdMs33Va+Tb7O
										W/mgnJ2Xs/MHKtxjcsFiuWCxVe62yiuq39JQvdan/1GPe0lYrYKtVsHWq2Cr3+0RrvT8qvDIgV5h
										kfhcJD4XqWDr0+aO9C24E3eFNbL6Gll9Ta13uM/fZ2KO53Nxv2s84LoPOa4Ii/n9Yn6+mE8X1JO8
										epLntwU1Jc9XCweq12J+uZhfLuaLBb7Wzde6+Vo33yrwrQK/6uZX3bXqdqxO8rcVbjWfWqTCrVc5
										1vCPxfyjwD+6o4mqxDpVYh1/WMUXHqV0RXVYxxe+IJu3y+bVLP48VfNU3UjVjXziaZm7k7JtMnU7
										Zdso28Y34lqGPjRsko03ycab+MjpfGSvLLtFlt1yoF9rk1lXyKwrZNYVfGaDbPqaLLpe5twkI66T
										EddRvUL1CrUrMuA6GXCdDLhOBlwnA66jbEXWWyfrrZPp1slo62WxLbLYFllsvSy2QhZbIYOtl8Fe
										k8Fek61ek622yE5bZKctstMW2WmF7LRCdlohO70mK22RlbbISitkpRWy0RbZaL1stIl12mSWdpml
										nZXaWKhNdumUXTplkE7Zol22qGaGdpmhXWZoZ6mNLLWRpTbKCp0yQDtLbWSpjSK/naXaRP46Eb9O
										xK8T8etE/DoRv07ErxDtK0T7FtG+RbRvEe0rRPsW0V6N8o2ivF2Ut4vydlHebg4u6YyrPfWZYSg6
										S5TtElHfEFGzRNQsEfUCOy8UNXvYdRG7LmLXRaKlyK597NrCpi1s2iIidomCXWyxkC0WioBqp7yQ
										x+/i5bN4+SxePostFvLyXby82inP4uWzePMeerXQqYU376FVC636aNXHq/fQq48n76HPIvosos8i
										+vTx5j28eQ+NFtFoEX1aeO8u3juL5+6x50X2uCbcymN328GTng1Y++7wEN/MRUfYWcWzLXbWaWed
										dlawq5fkgaKdvWRnL1lddTp7yepesrqK1b1kVRUrqlhRpxV1WlGn1VSspmI1nVbTaTUvWUXFKjqj
										o91poDaXDLrbHgzpEt/RJ0e17iV2t3Z3q1arAXer+ky7uw24W7UqDdBiwF0HaDHgzgPuvMWdt7jz
										FloMuPuAuw+4+xZ33+Lu7e4+4O5bzAjbwgN2vsGuN7hz7I4FuezHMu5mGXeznPagjPty1OCswQPz
										U3zgG0snJ8ZGo6MTRHlRlBed0emM7t9N187stJNBO8mK8qpuWTvJ2kVWBBRFQNFusnaStZNBOxm0
										i0ERUBQBRRFQFAFFEVD8vcn3A875kNd+NwGP9vjYkOXNxeq0y5uLvLnIm4u8uViz7a+s7O2abYd5
										1l/7TGUvhmSShuq3kXRVZ+uqztar5+yhHHb6W1mu3yl37pQ7u+XObrmzmht3yos75cFuV9tW85tN
										tSslagrG0XGuscxflrNur2u1OuOtd3XRQ9Cklx699Oh1j9YD/8byalbupU8vXXpZuZc2vazbaw2t
										1rDMGpZZwzKW7v09TT7o+ZH4nSbHOP9Yz49zfND5D9c+MylHdXYfRx+wvt4DdW6rNW2tRq417bD6
										X1vXDuvaYR07rGOHNexw71737nXv6n23uu9W993qflvdb6t77XCf6j22Rse6+mN232rnK95TA6qz
										fqs79dVyfqr2L3XuO+BpW2ud7fflxwO50Y5XuOtj7vqYuz72H+bFah48xnnVHHicYzWfPejcP8xn
										w63mp1awrfZpQ0Pte7GXuvMGd95w4HtC66LTrTvnzDWsljW1FKx/PZVWUamVStW1/xuPrir1DFtX
										u4I+aj1DrWfsZ72rLnC1VlbM6iyrlfgZCj7DklUvf4aXF3l5kUWz9reetxftMWePOXvMsWpWh1jQ
										IRZ0g9UK3UrpVkq38voiK2dZOUv1Vqq32vt6yj9j7+vtO8fKWRZojT5I9Taqt9nzi3ZQse9fWHVV
										+TYr7rPiPqvro3Ybtdusss8K+6jcRuU2KrdRuY3KbVRuo3CbO/VRuI26bdRto24bddvE1+5wL202
										0qOHh6kI4ukUNfus8HaU0Cu9Wvt07aywLTrGs921Ty1Hy3HH4rTQr473q+P9zhhUw3t1VJUDnzL2
										qsO96nC/Otx/4FPG3tqnjCvkvd9+0tiv9varvf3v+aSxX93t1xUNqLu9OqMBdbBfHexX+/qj4TqN
										PVbygM4irn2Ce2YouWv1GwmPs+DjtU9tm/QicWKUNZ9c+3zwjdrnFWd595ejv5T/joqSrvFG7Rqn
										hH3Vz13tlv2cv8O526kwyo7OCntqeqz0qC86xKP4Dz5p7EtcpPO9OGy34z477nvPJ4N9/8kng33v
										neCjD7tT9dPgnXTtpmv3H3wiXHKXnTTd6Q473WHnez653ekuO2m6k6bdNN35B5/e7qTpznc/vc07
										p8vzHTLhez6Rjerseld0bKK5ZvFH9XADergBPdyANT1rTc9Sao8+rqKPqzi7v/ZZ32f8/dzat/yW
										UX6ZPPxhebj676mLerGKXqxiXc/quSp6roqeq6LnquixKnqsivU8q7+q6K0GrOlZfU5Fn1PR51T0
										OJWo0WqeduddtU8YqxY8152/HFa72+potL9up9s2a9xqjVudWf1E/U369dCvh3499Oui357q51Q0
										3EbDPTTcQ8MeGvbQcBsN99Bwm7VupeE2GvbQsIeGPTTcRsNtNOyhYY81b6XhHuvdSsMeGvbQsCc6
										lGqdVOukWiel8pTKW/dW685RqpMieYrkqZGnRp4aeWrkqZGnRp4SeUp0UiFPhTwV8lTIR0fYZ8ke
										S/ZYqqlxiiufpiKfjjPwJ+LlKXnq3/CMx8uwIpT0u/32krWXrL1k9bf99pG1j6x9lOyhZA9Ze8ja
										Q7b2Hc7qvzY+PJobjZMJLsG38IPweHRNuCe6FtdhEq7HG+HRqBu/Rr9z9obp0RD24Td4J0yvOyG0
										152Ik/BR/DFOxsdwCk7FaTgdZ+BMnIWz8XH8CT6BT+IcfAqfxp/iM/gznIs/x1/gf+Av8VcYg7/G
										Z/E3OA+fw/n4PL6A8dFRdb8IL9atDmvrnsMarMXzeAHr8SJewsthbfLhcE9yPhbgVc+z2AB7Te5H
										CNOHvS8sGnZQeHTYqNA+7BAcig/gMByOrnDPsLJzduKtcE/DiTgbl4VFDf+Cy3EFJobHG64E3Rum
										h/aGtrC2YTC0Nx4X1jYejxNwIk7HGfgULgqPNn4VF4fpjXOwEF2eb8cOsFljT3i88U1U/G2X54Nh
										elN9aG9KQH1vGoYG6F+b9K9N6neT+t00Amk0YyQyUNOb1PQmNb3pYHwirG36JL7u8bccb3R8zPFx
										7A7tw11r+MFhbfS16CAedzBG4RAcig/geJyAE3ESPorz8Dmcj8/jC7gAF+KL+BK+gr/HuLCU5y7l
										uUt57h3RBDPCRFyJH+IqXBOe4M1P8OYnePMTvPmJ5B0hm7wTd0FUJKdhOu7BDNyL+zATIiY5Gw97
										33wsCE+w+tJhm0N2mOgalkcnurxecCyi7O878ZbX3gnZhgboqxuGI4XDcDg+guNAhwY68I4nGs50
										PNvxHMcx+BouxtfxDVwWlvKcpTxnKc9ZynPu4Dl3NNhvg/3yoCearqhqE83QU92L+zATszAb+q2o
										2m89jsVYgpfwMl7Bq8hiA9rwGjaiHZvwOnJ4IyyTE5bJCcvkhPbIzBPtAttHfDcy+8gTq+SJVfLE
										KnlilTyxKlkK7ckevIlelGFmSvZBH5rUhyb1l0nXTLpm0jWT1fftRwirxNuyRrmgUew3ivVGsd4o
										zhvFeePf4su4yDlfxcVhVeN3PJ+AifghrsJ1uBW3Qbw10qiRRo00aqSReFrV+GPHhY5POq4AHRrp
										0EiHRjqItWVibZlYWybWlom1drHW3mhPjfYk5laJuWWN9BB3q+o+FiV1I8PQgEY0YThSGIE0mlH9
										zelPRidH52BcmMfH5/HxeXx8Hh+fz8fn8/H5fHw+H58fXR0dxM+n8PMp/HwKP5/Cz6f8F35L6vSo
										FW+E2Sw6m0Vns2gLi65k0ZUsupJFV7Loyujt6P2sOo1Vp7HqNFadxqrT/ru+F19/anR4/WnRyfVn
										On4Gfx3m1X82zK4/DxdGh9WPD0vqLw03138Hl4Wb9WyXJ74abte3XZ74uuMEk8xEdbotyiRei0Yl
										2vG6KtsRHZV4I6xKdHv+6+iERKH2qw6jE2869kaZ5IToqOREXIkf4ipcjWtwLa7DJFyPG2q/ozVF
										vpgiX0z5r/6OFm+fxtun8fZpcs282nfyDwqz5Zgpw3qjg+SXefLLPPllyrB90VENCfCthoNwMEbj
										xDCl4STH03BGdLKcMqXh4x5fFubJH/Pkj3nyxzz5Y578MU/+mC9/zG/gSw3XgC+9+13/9rDjf/ve
										fvW7+J8PK0XabJE2W6RNe/d3uH73G1zV396a4/Xf/v7W6aJpWu03uLqcvx07wOdETovIaRE5K0XO
										ysad0fsb+1Bx/i5/538iaFr1d7r+n31H/72/9fWe79pXv0efGhtmp+wrNSncnLoB4iYlblLiJiVu
										UuImJW5Sd2MapuMe2G/qXtyHmZiF2ZiDubgfP8I8PIAH8RDok5qPBfgxHsHC6PAR10aHjbgOk3A9
										bsCNuAk3YzKm4BbcittwO6biDtyJu3A3pmE67sG9uA8zMQuzMQdzcX90WPqj0eEjh0eHjUxhRHSY
										bnGDKHij9ismG2q/fHJU/Q9ls4xslpHNMrJZpvZ/TBiO6v9TawTSaMZIHKS7PRijcAgOxQdwPHTQ
										OoC8DiCvA8jLfKNlvtE6gaJOoKgTKOoEijqBok6gqBMo6gSKOoGiTqCoEyjKkhNkyQmy5ITo2yat
										8bgU38Fl+Bdcjiuq/1Yd38P38YNw9X+YUa8JY2TTMbLpGNl0jGw6RjZNyaYp2TQlm6Zk05RsmpJN
										U7JpSjZNyaYpdbeg7hbU3YK6W1B3C+puQd0tqLsFdbeg7hbU3YLMO1rmHa3+xupvrP7G6m+s/sbq
										b6z+xupvrP7G6m+s/sbqb6z+xrL1DNl6hmw9IyqGclRCD95EL8rYiT5U8BZi9IenZfblMvtymX25
										zL5cZl8uq0+W1SfL6pNl9cmy+mQ9fU5Pn9PT5/T0OT19Tk+f09Pn9PQ5PX1OT5/T0+f09Dk9fU5P
										n9PT5/T0OT19Tk+f09Pn9PQ5PX1OT5/T0+f09Dk9fU5Pn9PT5/T0OT19Tk+f09Pn9PQ5PX1OT5/T
										0+f09Dk9fU5Pn9PT5/T0uboLosPrLsQX8SX8LX4UsipRViXKqkRZlSirEmVVoqxKlFWJsipRViXK
										qkRZlSirEmVVoqxKlFWJsipRViXKqkRZlSirEmVVoqxKlFWJsipR1izRapZYZZZYZZZYZZZYZZZY
										ZZZoNUu0miVazRKtZonWuleiVN2ryGJDlFLFMqrYSFUsU2/eUcky9WYa1Wy5ajZONRtXq2ZfDeX6
										cRgf5ry3qtX/S+3XXcaobJeqbGNUtuqvJD2Z+EF4LLFCFVsZNSdWh9sSG8JTqlxGlUupckVVLpXY
										HHaodC0HfrvoqNrvXL7p9d5omCqXUeUyqlxGlcuochlVLqPKZVS5jCqXUeUyqlxGlcvopIs66aJO
										uqiTLuqkizrpok66qJMu6qSLOumiTrqoky7qpIvJOSFOzsX9+BHm4QE8iIfwcBijco5ROceYu1rN
										Xa3mrlZVNKWKplTRlCqaUkVTqmhKFU2poilVNKWKplTRlCqa0mfG+sxYnxnrM2N9ZqzPjPWZsT4z
										1mfG+sxYnxnrM2N9ZpzcHcrJQezB29iLIezDbyAmVObJKvNklXmCypxVmWeY/3Lmv5z5L2f+y5n/
										cua/nCkhb0rImxKKpoS8Cj5mWHeITQp5k0JeJZ+gkk8YZk3DrElFH6OiZ0wN+WH7PQ8hbohQh3ok
										ooxKnzFR5E0UeRNF3kSRV/kzKn/GZJE3WeQbjnTuhzDaax/x/DjItaaMvM5gjM4g03Cqv5/meEY0
										2tSR1yGM0SFkTB55k0fe5JE3eeRNHnmTR17nMEHnMEHnMEHnMKFBHm2QRxvk0YYfYAImhqt1E1e/
										203IoebZnE4iq5PINjwUpRqejA5veArPePxTx+cd20KrLiPbwJbm3lxD9Rc5PxSyOo6sjiOr48ia
										hVvNwq1m4VVm4VU6kKx5eJV5uLXxnChlJm41F8TmgthcEJsLYnNBQZey3FwQmwti3coM3cqMxn8I
										5cav4eIw2XwQN17msZhqvBxX4Lv4nmt+H/ZldiiYHWKzQ2x2iHU4KR1OygwRmyHixjucf2ftlw1j
										XU/KPBGbJ2LzRGyeiHVBk3VBKV3QaHNFrBOarBNKmS1is0VstojNFrHZIjZbxDqkGTqkGTqkGTqk
										GY3drv1rFCDXN8r1uqandU1P65qW65qW65Ym65Zm6JaW65Ym65ZSZv2cWT9n1s+Z9XNm/ZxZP2fW
										z5n1c2b9nFk/Z9bPmfVzZv2cWT9n1s+Z9XNm/ZxZP6fryuq6srqurK4rq+vK6rqyuq6sriur68rq
										urK6rqyuK6vryuq6srqurK4rq+vK6rqyTadb0xn4RGht+iS+7trf9HwcLsG3vPbPjt/GeFyKK0JR
										h5bVoWV1aNmmG71nutcfc+7jYVXTYo+XYHfIDY+iw3Vw2eH2Nvzg0Dr8kCiV+lJoT5kLU1/B2DBO
										Zzcu9Q8eXxXKqatxLX7X6d3k8S24Lcro+DI6voyOL6Pjy+j4Mjq+jI4vo+PL6PgyOr6Mji+j48vo
										+DI6voyOL6Pjy+j4Mjq+jI4vo+PL6PgyOr6Mji+j48vo+DI6voyOL6Pjy+j4Mv8fO77M73V8h0TT
										wl/VXRxdVPcN/GN0Vd0/Rf9Y983ogrpx0bj6v47+vH589KnEl8NXEmPDhYnW0JpYGcYldoR2veGo
										RHftN14XJEohm+gxS71p3uoNg9HR0bT9pagldEdrQ7erf/rAL9Je4Ornuvq5B35JdrD6W9Hucri7
										pNzl0+4yxl3uSfwsvJT4OVaGVOIXjqvDG4nnXH1NeNjdF7jzvsSva3f/grs/4O4pd1/m7u1RUyLr
										jDZrMsknNlp7e3gxsclrHSriZmekre1la3vZmd9QO7POXuDs2519iLNbnP0VdXSVd1zvHZOjY6q/
										L2m181XzP1a9x9efr5KPD3fVX179t53RMfVrwsT6F8KC+m3ROfW7zaOj9M+nhGcTP1N9V0an2sF6
										d2o1j6YSG2uzaFaVzrj6PjvqUqlvP1CpUwdm0pSdxYkeu6r90mCo1P1dlAyLomFoQCOaMByp6rez
										kUYzRiJjsn8fPhmy0TmYHKZGU3ALbsVtuB1TcQfuxF2YFn4RLQ/PRK3hmbp6/U8CSQxDAxrRhOFI
										YQSa8T6ok3UH4WDIJXVySZ1cUieX1MkldXJJndxRJ3fUyR11cked3FEnd9TJHXVyR91xOB4XhPa6
										C/FFiO06sV03CdfjBtyIm3AzJmMKbsGtuA23457wYt0M3Iv7MBOzMBtzwov1p4ap9WfiM7iQ9aaG
										bP0dLLMyfJFVyvxskI89xRLl3/7mo+eD+59L7AmjEm/vzyf27m9PDO1fkti3P5f4zf7liXfCiMR+
										r4f95eSw/c8lG8KoZOP+fLJpf3ty+P4lydT+XHLE/uXJdBiRbPb6SOdNCIuSE3ElfoircDWuwbW4
										DpNwPW6A3japt03qbZN626TeNqm3Teptk3rbpN42qbdN6m2Tetuk3japt03qbZN626TeNqm3Tept
										k8vw76E9uRytWIGf4edYiVX4BVbjOazBWmwMU5Pt2ITX0YHNyGELfolfYSvyYeqwfWFRQwL8t2FY
										aGk4yPFgjMZJOA1n6As+7nhXaG+Yjbme22fDox7bT4P9NNhPg/00POm1p/A0foKfYrnXW7ECP4O1
										N1h7w0sev4xXPH4VWWxABzaHFxt+6W9F9CJGPwawC7uxJ7Q3jkQG78P7cVh4sfFwHIEP4kicqU/5
										OL4XpjZ+HzfiJszAw1gQnmlscdwTpjYdH9qbPqrGfczxVMfP4wse/314semb/j4Ol4A/Ns31+v34
										EeahBfvCi8Oj0D78/Y7ia7i4Gq5GD1efU9/EpbgMl+O7mADxnhLvKfGeEu8p8Z4S76m7MQ3TcQ+s
										N3Uv7sNMzMJszMFc3I8fYR4ewIN4CPaYmo8F+DEewcIwdcTfhOyI8/A5nA97HfEFXIALcW1YMOI6
										TML1uAE34ibcjMmYgltwK27D7ZiKO3An7sLdmIbpuAf34j7MxCzMxhzMxf1hQfqjYerI4WHByBRG
										hAVRUvZ/SuYvJl5XyzarY7Oia+TPa3EdJuF67JVLh7APv8E7ctUJITY/x+bn2Pwcm59j83Nsfo7N
										z7H5OTY/x+bn2Pwcm59j83Nsfo7Nz7H5OTY/x+bn2Pwcm59j83Nsfo7Nz7H5OTY/x+bn2Pwcm59j
										83Nsfo7Nz7H5OTY/x+bn2Pwcm59j83Nsfo7Nz3H198Dq1oW8mbVsZi2bWctm1rKZtWwOfdQc+qi5
										M2/uzJs78/ULww4VbZFKVqofDDvr94SdtW82rTZ3blCN2kJeBVtkhmsxw7WY4VrMcGUzXNkMV52f
										suanrPkpa2aKzUyxmSk2M8VmptjMFJuRWsxBLeaUFjNJixmixQwRmxGqvyAamwPK5oBy40kh3/jR
										2q+BVn8JtNrLZ/XZWb11Vi+c1QNn9b+x/jfW/8b631j/G+t/Y/1vrP+N9b+x/jfW/8b631j/G+t/
										Y/1vrP+N9b+x/jfWr5b1q2X9aqxHrf5CZ14fGutBy/rOWL8Z6zfLw0eFvB7zUT3mo3rKvJ4yn54U
										dqSvxw1hR/OosLP5EByKo/Fh3OT1R2r/uqk7LFLX9ZiJ1uiMxIrom4lV0bGJX0RH0PeVxHPRIYk1
										0fGJbHQerc+rzfUbo3PN9pnEpuh0upern2Lrc3Z49Y3oZP3CebXPsKvfZ+jRtfz2s+zT3Wl1WO78
										5bV7PuVv10cJ9zvBa+3VM6MRdRdEqboL8UV8CX+L8dHppreU6a06uaVMaanh1f/ratJ6jhIdn6r9
										JrJ6aA2/feUo1bLo1RP+J3VfAl5FkbV9qqq7qnNv902AQBKWsG8qKhF1BHGXmXEZx3EZBxRRQVxw
										cNhEBFFHBBRlUQEFFQV1FEVHRRQE9EMRXFhlEQlLIoRgWAIkLIHU91bdJoQlQALyf3/fp7qrq0+d
										Ol116q061d3nYrSciNFysZ0PwhpHydmYCeXSpXZN0dBmQAbzfwjrIXHcf7L1Km3mROa5ifU/d4te
										KHqgbr6CDrWmROS9RS/C2UpQT8dc8EtdgLMsnHVBvi/1bpwtosbkgLuLIBEUgoeQgBBBiCL4CAFC
										DCXeRJVEW/2taI/QBbU4TS8Fp9XgtMDpQRlOT4ReCA8h9EZ4GKEPwiMIfRH6ITyK0J8yYMtnwGbP
										gM2eARs9AzZ6BmzyDNjfGbC9M2BvQxYr61TM6aahrqbrtWImetGX+meUOA2z28249x50OnSiEq7m
										G13AvSdTZbaAarGF1DB8L62TaAuquKfm042nZtHFftP1veiF+e1IaipGIUzVuWjpepjJfORcQKc5
										LakhaqsdxZAjhnLOQmv2QAtM15tR0ve2pAAl/IYS5olbUf5tmIF2wPEOHHuglAV6JebIeZgf77X6
										s5Rc5IqQNP/GAuo0UKaBMg2U+aAooGqUDRTFHIrWxb332RJ74QicQKu7QNzl4LcDqFuAHPmGp5kR
										u5V1IWz4QtjwhbCRC2EjF8JGLoSNXAjbtxBl3oR7vQVceqDl5iGX4WZWTFMOKvNW8O+A8AAxW/Z8
										1PwCpC9EeYtQz4uhOUswM19K0eMqNxqWmwVuibiLInDMAsc8cMwHRxmuvrl2/IiBOl/cYuXIhByZ
										optt4/qQWAnjuTkuSyFyRiFLEXIbCyWfzqRsOp9+RViHsJsa0R6EIoS9CPuoETh3sNbSrehnt9FN
										ogOOd+D4ACyZbuDcS88SfdGSI6Hpo9BjMetBHTWwbbNIf2RL+0kvQ59LhpWzFzqSAR3JcMDbKUbQ
										1MitTOertgjtENpTIzUKYQLCGpyvRchCgJxqC9J24FgI2RIgWSEkagZpmuFek8PWweiKHmDaeBl0
										xmjaTMg/EzWTA+pk1E4OciQjRwaoEyDnJtTMdsiaD1l3mXq1ueZZ/UQbQZfro+8WQp/ri55AwixK
										ic/Xoa85aB3znVaunmX/yce0WSaoIkgpgBz7PcSFb8eI7tCRh9D/N0AfclH/MvRpn4M8wDbcwXqE
										XJ1JadQRknRCuBuhu/0Hg0LIMw+yzAN1sqXORonWisO1XCCiXXfFuNia0t0knePmIWzSObILwgMI
										/0ToitAToRf4xsL/RTCeODPBOVN0xx31xJ1mod2y9Ubc6e74neqdkLoIpcy1tncK5MuHfPmQL7+k
										l7QFp/YI3SFbT7RLFnJmQ3ZjR8etTXN3a8x/IEG+fMiXD/nyIV8+5MuHfPnSPFNpRrDcqRPC3Qh9
										cP4IQl+EfgiPgnP8X5OaAqNioR96gziXAqNGoZYno5a/hl5OhV5eCL1sI96FvmZBsmzcm5UG41QO
										2myDzoROng+dPN9prZc7r1EzZxzC69TMTaI27hoc83DchLCVmsmm5tknQhdqIx9A+CdCVwQjnxe2
										kdEZN9QZ17bVeqsR+Xb1YSLkfiukSgup0iB3PigzrGym/aXoUvy22KW3wNbLdJTeAlsu02lSPAcy
										dyleg9RCpBQ6TfQZ4NqleJkoREsVIfdecNqnsxxX73YiusjBfASUWaBsbvNOwtXlSFkObgU27zyx
										Bzhh8u6DNmjkSSBl8/qwwWI4NtHpVBmUc1BKEazSfEiWJ8xb4UUoda/eg5wLkbMQpRbBGs2HxHkO
										ZkXgshsS7AGnheAEeYvXoqW6wI6NcykAlyJwKTYy27LjuQuQuwi5i63scRlcqoacXSBDltiJOtuF
										427UH2bJ4Z0vF/vQp4v1OnDaDVmyHElp4JYFboVOAkb5eI3g/inBCfQ6cN4NmZ41o2ZxFjiaOsgR
										xRhzlL3/HCdAvIkmS/GBbZE9lireKgmWyrTMItTuIe2F+UTYTsh9jPaxtLZdQHuM9qCkE20H8stb
										/9Dik1zv0PEy6tteOWI9U8xJJs+pCq6pFHGqI9RAnprIXwtxzFad2rhWD/EGCA1xrRGuNTazSqca
										eNTA1To4NjR14CTjDDaDkwKa6vZqvuWVjvTaiNdFvIGlzjd8SFrqVFtqgaWoZ0spoMqQy8XVPKca
										UlIQUikd8iWCMg880yEf+CLUxnkdXK+LUA/pDUDTEGmNEG+MMmLgkgNZzR26ThpKr04i5GJy50B+
										c4euUx/XGuBaPLdLSZAhgtyb7J2mgm91UNVA7dVEerz8CDhssjVQD9cbIK0hrjdCuikbdwH+VXG1
										mt7qpJh7hcZZGdCWNVFuLaSlg6Y20uqApq6pA9BYWUDTCDSNgXSmnRJtvaZScthORZAjGXLEIEei
										rdt6OI+3UxFkSIYMMdMqtvbcMNeOg6Q39x3PsaNE6sSK6gR67U+IHaIX6O21KSivbiBXffTSMvQD
										VzlVOVk6Am5VkVJBPUFunyqdqK6ASzVzRydHX9ASE2w7Vkhn7B0F5dUblLkLs9nC4oXAwmZAHAeo
										1lzsKZ4BVKsh9hbPAvpcIIqLi4BqSY5bvBDY2Axo5ADVmjsJxTOAajWcaPEsINMFTlBcBFRDHyz+
										GTVSHTUSoEYCJ7V4DmqkqlO9eD2kaoBacVAr3EkHXW3Q1QFNXYR6oKsPugagawi6RqBrDK1JgKWW
										CBurjTD/IjTLzuqTMctNx6wiw6zbY7aXZv/JaCprT61YB2rD7qBn2J043oVc5n+HbtbfiL9jNnSL
										Hmv/Ha/pUai+sVT7/3FpbMnZhyVnnAWwgJsRUUu6mE6DzX0pnU1X0w3UnG6mvyP1H5i3XUj30BC6
										ip6jd6krTaUZOPsSv+H0HS2lEbQcNsdrlMMS6X1Wg9WgpSydNaNl7Bp2LVKvYzdSLmvLbqUt7HZ2
										O21jd7COtJ11Yf+knawnG0172Mv4pbOx+NVmr+JXh73D3mV12ZdsPqvPz+YZ7Bzegp/PzuMteUvW
										kl/EL2at+OX8Ctaat+Ft2MX8T/xqdgm/ll/LruDX8xvYlfxmfgv7E2/H27Gr+e38dnYN78g7sWt5
										Z96ZXcfv5f9kf+XdeC92M+/NB7J2fDB/lt3Ph/KR7EE+mr/EevMJ/L+sD/+Yf8MG8W/5UjaGL+fZ
										bCLfwH9jU/gWvpVN49v4Tjad7+ZFbBbXgthswYVgc4QSAftOJIrKbKFIFslsiagmqrOloq6ox34R
										DURDlikai6ZstThDNGNZ4ixxFvtVNBcZbJ1oIc5jOaKlaMU2itbiIpYnLhGXsM3iMnEZ2yKuEFew
										reJacR3LFzeKW9gO0VbcxXaLLuIBFN1NPMRd0Vf05VHxqHiU+2KkGMUDMUlM4oniE/EJTxJTxBRe
										SXwuZvHKYp5YxmuJLPEbbywKhebNHdeJ8VZOstOEX+m0dlrztk4PZyBv5zztTOZdnc+cGXyM86Mz
										n7/hLHLW8TedDY7mn7sRN8IXur7r80VukluZL3YXuz/zpe5Kdw3PdLPdbJ7lrnfX82x3g5vLf3V/
										c7fy9e42dxvPcwvcnXyTu9vdzbe6RW4Rz3f3SZdvk0rGeJFMkklCyMqyqnBkqkwXnqwrzxGJ8lx5
										rqgnz5d/FPXldfIm0ULeJp8QreST8ilxhxwsnxEd5VA5VHSWw+UIcY98Ub4o7pOj5Fhxvxwnx4l/
										yfFyvOgm35Rviu5yovxY9JCfyi9EPzlT/o94Us6Ws8UgOVcuEIPlYrlEDJfL5HLxglwhV4iRcpVc
										LUbJHLlRvCTz5V7xiiLFxTtKqTriPdVItRCzVUvVWixRl6hLxM/qcvVHsUJdpf4iVqvr1fXiV3Wj
										ulGsUzerv4v1qq26XWxQd6mOYrO6V90rtqr7VW+Rr/qoR4VWj6nHHUc9pZ5xpBqqRju+elm97FRT
										Y9VYJ0W9ql5zUtV4NcGpriaqaU5NNUvNdZqphWqb00LtAMjd7DXyGjl3ek2805y7vDO9s5y7vRZe
										C+ce7wKvpXOvd6HX2rnf+5N3lfOAd413jfOg9xfvOudf3g3eTU537x/eP5xe3l1eZ+chr6v3L6ev
										18fr4/T3+nn9nMe8x7wnnMe9gd5g50nvGW+IM9Ab6g11BnsjvBHO095Ib4zzjPe29x9nuDfRm+g8
										703yJjkveNu87c6LXoFX4Izydnm7nNEJADPnpQQnwXHGJKgE5YxNwOa8kpCYkOS8mlAloaozLiEt
										Ic0Zn1AjoaYzISE9Id15K3JDpK3zdqRDpIPzQaRjpKPzYeSeyL3OfyP3R+53Po48EPmn80nkwciD
										zqeRXpFezpRIn0gf57NI30h/5/PIwMh7zvTIl5E5TnZkSWSlkxdZFVnn7IjsjlZ39kbrR4e56dER
										0dfdIdFPozPcsdH50W3um77yU925/un+le4v/i3+PW6hf7//oFR+N7+HDPxefm+Z5Pfx+8gqfl9/
										gEz2B/nPyXR/mD9MNvRH+C/IRv5If5xs6r/hvyFb+BP89+S5/gf+J/Iif4o/TV7hT/enyz/7M/2Z
										8ir/K3+OvNr/wV8kb/B/8n+Sbf2l/nLZzl/hr5bt/bX+VtnR3+7vkj38Pf5e2ccvDkj2C3jA5WOB
										E0j5eJAQBPLJICmoJgcHqUGqHBZUD2rK4UF60EC+EDQKGskxQf+gvxwbPB4MkK8Eg4Jn5RvB8OB5
										+Z/gxWCknBi8FLwk3w/GBGPkpOCV4HX5QTA+eFt+EuOxmPw8VjmWImfHasRqyR9iO2N75HziCU9g
										RKHo1KQvqDHVppOy6VV6NTWDZUV64RGvF+nn9CT8CnVvnN2uO+n39GTEsuzVLJ2D/dqQtvCw3OZq
										js7H78C15MOotiA8eUxJByH8t9T5cnCvakooc4voPUY6vR1x847sH6kRzjNLOGwoiWUdobyFeqXO
										1d/jl6W3YrZ+olsKeI6znLN1np67v3Sdd1jJebbW8nQmav8OqoEaa2okD68WHasgXaA36216g15X
										klQFqZvttU/Qeon6U8R+PWJeUOlNKL1Q55KptXSqT5fEpceVpXoptGW1iZVR9qt6rLlL3RPhL/oy
										/bgeiNjqkuu/lb7LQ/IWoa5Xoeyv9De4+3y0lBte+fkQytnHrIMdFGqaHmb3+XoLuIdaWKpm9tMX
										oMa26V16CeiusnfbCjUfSqk36o3Y54a0uw7LvQV1tt7oSNgvCqm6PS4u+27LkDvzoLP7S8W/OD4O
										2M48UCJabDG5eskxSjU9cGN4chq1OCrtW/ploydGh8q/6XXmDqFdKw+7svaYebci/NvG3ju0BQ06
										HSN3NsJUi0grDvT8492g1QV2v/gIFxOPi8M2hDXlLTfM+2V4nFyBvK/Y/Wxz/yd5a3nMsjfE21Xv
										BpZuLif3o9fq+Qg32TLWxvfxX3j1SKNjU/xq49f0IAnfsvv58d9Rcjc/Yu71dr9J7wB27ShLVFwz
										qLZR/2L6ockTx/D4mAe0+1p/p78tM3epUVUPprpA5GvpOsTfsSmLMU59oZeXmbvUuKVHYBxIoyth
										eaIH2ZRf0Be+PoDOZZVtRlDokcndAlZrmK4/11MwxpaJSwewPtwSUX9tkf6wvTpdf6a/1DNC2k2H
										5S41sqOmEu04ZEaVa2zK1yh9qp5aZtllzAuKzYzge/0Pfb2+X98U0h6GZHow6nWO/lGvPghnOLWn
										f8NCJ9jrQ81XJ/Qe+TSJplATmgbbPcPa7ufRLNju59PPsN2vhpXO6BbWgXWg7rCe/0Y9jN1MvYzF
										TA/x+/gD9DBs3+XUj//CV9GjPItn0xOwgzfQk3wj/40GGGuYBvJCvpMG8yJeRM8Ya5iGGGuYnoM1
										HKVhwvgkelHcKm6jkaKDuINGO586n9LLsCM1jXEru5VprpwsJ9N3crqcQd/LX+RK+lFqqWm+sZ9o
										gbGfaIn6q7qeVhj7iVYa+4kyjf1Eq439ROuM/UQ5xn6iDcZ+okJjP1GRsZ9oH+yn4Uyo59VoJo0V
										xXxjRbHAWFEsZqwolmSsKFbZWFGsvrGi2GnGimLXeMJz2S2e50VYO8/3Yqy9V8mrwu7wqnoprKNX
										3avJOnvpXh12n1ffa8ge8C7yLmYPwnLqxLrBQhrEesJCeoY9ZGwg1tvYIuxhY4uwPtFHosPYo8bC
										YC/4SX4q+8x/z3+PfeVn+1vZ/5g5Pltg5vhsqZnjs5/NHJ+tNHN8lmnm+GyNmeOzdWaOz/LMHJ9t
										MnN8ttXM8dlOM39nu8z8ne0283dWHEuIRbmIVY2lcBnbFdvDE6A3S6zeMKs3HHozEjP5UfQy5jdj
										aAJS3sRP0Vv0Lnk0EVolrVZJaNUXlEDToVsRq1sR6NZcpH9HP1EUXJcg71L8AmjbSopRJmWhj2VD
										8+pQDuWj12zDry5tp51Uj3bhV5920z5qQMXQy0pWL2tavRRWL32rlz70sgsl8Qegnb7VzsrQzkyq
										xldBR6tAR7MohWdDU2tYTa1uNTXFampVq6lpVlOrcM01VREEfU2GvnLssVFVaK1CHM1OqSIBGpxs
										Nbg6NPhWaihugx43gh53QPwOaHMjq801oc2ZxJxVzjriznonh6SzwdlMUWeLs4NqOQVOISU6O529
										lO7sg943sHpfx+p9Tav3Na3e17R6XxN6fzklqyvUFRRVV6oryVFt0BNc9ISrkHK1uhop16hrSKlr
										1bXkqb+gh9RDD/kr8l6PfpJg+0kU/eRmCtTf0Vti6C3tqI66Vd1Giaq9ak8N1O3oP5Vs/6lk+w9D
										/7kfubqoB0HzL9UNKd1Vd+Kqh+qJUnqpXuD8EPpYFH3sEeTqq/oivZ/qB/pH0esC2+sYet1A0AxS
										g1Hu0+iBieiBQ5EyTA1DruFqOGieVyORMkqNgiSj1WikoGdSxPRMMj3zVeR6Tb2G9PFqPPhMUBNA
										OVFNRMp7ahLyfqA+QD18qD5BzUxWn0POqWoq6mSamgapZqlvIO1sNRc8FyropFqioI1qmVoBbr+o
										1VRbrVHZqJNf1QaUlas2Ul31m8pDTW5Sm6m+2qK2oMStahtk3qF2gLJAFeBqoSpE+k61E5LsUrvB
										f4/aA85Fqgic96q9VEXtU/tQerEqRl6tNEUNjlBNgyPYA0ewB45gDxzBHjiCPXAEe+AI9sAR7IEj
										xIAjA7Ef5A0ibtCEHIMmxAyakA806Yt9v0h/SjKYQgKYspT86LLocgqiP0e3UZLBFxIGXygV+JJN
										Vfxf/V8p2V/nr6PAX++vp2p+jp+Dqxv8DZTi5/q5VMPf6G9CfLO/GfRb/C2g2epvBc12fzviO/wC
										SvML/ULQ7PR3gWaPvwdXi/y9FPWLfU0pAbo/VTHIhb0TONi7gaTKwK8IVQ2iQRQ0fhBQDWBZFaQk
										B9UozSAaVQOiVce+RlATNOlBbUoO6gR1wKFuUA/x+kF90DcIGiAOvEM68A4prwSvgv9rwTjkej14
										HZzHBxPA883gbapqEJAsAlKSQUBKAkq9HyLgMPxECQKORnwMsE9Y7HOBfO8hPok+w/5zmmoR8EvE
										/we4J+gbYJ8A9i0BVi6lZYgvx09Z7BMW+5It9lW12Jdgsa+axb4Ui32pFvvSLPZFWSJLJJ+1ZW2x
										78KAdKwr64Z9D9YD+6fZ08C+6/n1xC0yekDGjtgbZIxYZPQsMgYWDavwPG7+N8IgYCWLgJX5Pr6P
										Yhb7EoUjHKoE1PMQj4gIJYm2oi3VEO1EO6plUa+mRb100V60R/rt4nakGwSsaREwXdwp7qLqJQiY
										QwLYt4MUUG8vJVi8S7N4V9WsiqJ/XqYuI2FxTQHRrsbeYJmwWOZaLEtR16nrkGKwTKgb1A3Y36hu
										AqVBsaoWxRIsiqUBxTqgb9+p7sT+LnUXKDupTth3Vp2xN4imLKIlhIjWQ/VASk8gmmuxTKmH1cMW
										0fqA3iCaAqL1RzyOZU+ofyNuEE1ZRBMW0RLUEDUEuZ5VzyHFoJuy6BYN0W2EGkHCYpyyGJdm0U2o
										V4BrIsS1cWoc4q+r10mqN9QboDRIJyzSpZVCOmGRTgHppiJu0E2pL9RXiM9SC7A36KaAbisQN7iW
										bHGtqsW1BItr1SyupVhcS7W4lmZxLaq2q+3IZdCtqkW3FItuaSG67QWKCYtiUY95jEQcjyK9Iw+T
										F3kk8gj2/SL9KBLpD/SJRB6PPI6UAZEB5Fkk4tER0ZeIW0yp4m8CmiT6+T7w1CJIosWOKsCOnYjv
										8ndTDKhRjJ5sUCMpEIGgGPBCUWDxopLFiypAisqIG6SoHKQEKaAxGFElqBXUQnptYERlYERdcDAY
										UcliRKLFiCSLEZWAEa+A52vBa8g1PhgP+glAh0oWHTjxZreY1czmey58EhbJjWXN4/8vb3qbzjLB
										xvMPXrkpoSnU6466RlkWb7Miuwphrj1btT/NWC92dbDIrJDF14sgRf7BK5hl24Ph9UXh8e7yS3ay
										Nt1Oj7XHbcdFnaXnGWvveNfRyuSTd3DcrLOWrJVtg9WXpTNNbeplJVQHWi9cubZ1brwBpFOiobZp
										h619/65bJJSkdKmJdJFNW3No6+vNh693QXt+1HP1zoro5rE3vSA8ZoeavLXUte37pbdSHKE99coj
										96WTIlm5OetxepQ9FuoF0Iz5CJP0C3pR2O4l8tuVxQXQoTkV6u95VOopRPy5SamrQ/RW4EheWKMb
										jCSlMu/XhoLjKGcXHfFpx4luaMkD0u9AXW1GMKtGOw+i2nh4zv9rW8maV+7x6cqJItJReR9ptbls
										6tl6sv5af2hwCvH4yubicI0yt4Rq/QFsKwfvX8z6ZYh9G+0ToHwgiHkqMinOH+ezcPzWBMQPWs/U
										E8ngU8b+uwLqLgZKXUx19bL4kwCdrefZ43P7V/hObCv9dCv+9Ei/X3L+ir5PD9Yd9EzEby1JvUx3
										0Z/bkeaQWj8SSuEOpuqZ0PEy104rKPc2izSh9EYSW+OlR6380ivjesVRuc05udKVZwMahc/fdI9D
										rnytB5TES0YwaITBi18xsh71nsoozSCmaQtbN1Y/N4b1hL3uactR9nnwoSN1sn1LqzQvMwNYhTEr
										YjiFc4Pd4bX8Y9X5cch6AClLPQXbj43x+QgwPseWdZDm2f6Wc9j4nlfR50oV3eKz0lLnZc5+Sj/B
										LJU67eTKU4rzTeUgts959KDwmWIhevR684RQf6gnxp8UHjS+54da9qn+qAJyfYF5wZQwPgcYbZ/n
										mv5pdABzjKzwmUqhRdbl4ewijqLBIbxmWuyZbHF+ZvwZiP7uIIp95ZcwzLmISj1tD5FzkcWgmTYO
										LLS4+VVcC+JPJOO9I7xypb7Cnk3Xd6Mm70N4Qj+L48c29euDSvsYtd5D/60CcnbVYw124/7XItYO
										scdhIYzV72IMHKav1yOMxYBUYzN8oMfH+4zubDMn73+eGvJajN6OmT81sfG4lRXOvsxTPfv+iNGP
										CrwDYrWm5Ml2fCwO45kU2j4H7Dg6eG5W59D3Hn7/rfQc0jyT05vMqH/UHIfM70/NdtBzTftkXW86
										+kzM1vKptdKodH1Cf3bZeVTB0e0DizEVkLPs58/l4HFK60e/qp/Uz+leNp4Fa/Qt/VJ4JU//ZI+b
										gMSbDszcKlTKZfrVE5TzF9he88KVmF/1Uv1DqXfI7LwaFs98vb3k/YGKlXKMNZuj5s02c28cixF+
										wPw8HA3s+wbm3R474y/rna1TtwG1O2jj0zjVnj2E8+6wVKzlbGpAF+kperhuiTFkHjB8XMVaTo+2
										h/onJGm8XWeFZ6EVG18JoFLW1Ilv5XivqywOW20NGhzOxXz1sFbG9RXG6jvZtkp5N8ysciFF3B7d
										CD3dWuqaHWWgxz+gh313xOynbIOcE0u/uwJcmvX/TpojbbqTvtUgpLFnsH8O5x/qH208tPigB1P0
										X/UQMvbXmorp2KluB2jH7lNbYvm2/aivfzv8/dFycPld18DCGWUexqwtJ7bOV9G1A/N84jgpP7Bv
										Gx/6llh5t7onmP+4N4zxJ7DWp4efPEnKKCHEd735RFr+ZI5tZZaRqfec6jWL8m/6M2sznGh9ND4p
										wvxu24l+2YCRpgJPa+xacsnql31HeH/fipTdy+wcuT61JVWBEvMqgtqm9Q/Ya+Fa4PG9Pe7bd5T/
										f9jSKpLJrOFXINei0iOL+Y4D41Th7/MU8vfYMH/dcewRS++tAOfFFXlD3878cw8621+XCUfJZTQ4
										ja6Gjp7izVijJfFcawesPToC2fXwU7xuU1rKE+KzNgzfHHapafgtQXKp7w7Kw3k+6m3+/lJMzIb9
										30LsL6+VLekgeUqdDTzALQxvxY+lNvPNQ3Nz1FPj72uUU863kO+tMG5jdu17angP+yVofoicb5W/
										pJK8a478JeMxcv1c+s4Nh8OfvpS5VWilAa20/thUh+XKDfu7feZvnwftf58icpQvUMx9pNGlFenv
										ev2xVoCPmGtFGOJPNczq9mYKn24cJVd8tTTt4P6nl+sN9mvPplQTR/tsFKOPnXVYbfpH+eU7quxf
										2X2Jza/76A76dT3KPh0+0Gfa6Tfssejw9y6O8IVgvt70+6zm2zdC4s+qlmOOsxjW6XLMr0u+jLFP
										bMxK/iX6Znv+ne4Gqvv0HNzRFP1guK550DMtO4500n+pgDRdwPW6MG5j9rvhUXqy/lK/qG/XX1uN
										SLNPthftt6j0AyaNGpqnQ7q77mrTClHnq/U43Mtk/aF+J3yCc9Aalh0bhurnKyDnBD27ZDVvtn4d
										+3fD+Ui2/kg/j7StIWlCKcs/joANyl/eqd5OxRMZq1Xx9xUO0/dTUHpmhZ7H5VKpFZhQ+47NpxJC
										ZWpj4w0wr69P9cz9o2eZf/j5AzUBHmUh5KD35aDnXAOcSNTnWPpoSWn9dJswGn/y/HXJ95wq/vZL
										SPdZGbLHEW8U8N6OOLq/vl7/C2EA1dOtLEmI7/YL7Nb6Mt1Z34bYdBMg3zj9rp5r372Jl1aHGlEM
										R/ttOTR+4jHr4XCZPoyH8Gwq7qnUc4zw7ZoMzDRrk/kvvv3fkc8oRVOteJv29eX6V+DSTN0VPEbr
										53BfU/WzpWuF9n/P/UQcH8op58PQl/g3wi5iXfW9+lmrQ8vtG59BHPNLWUL2y/P4mwHHPQ84uMSN
										h3/TeBy58sO+ay1c++xmO0l7KfEo47vJkUYXov05fXMMv0NtQ79DT9CfGWdVqaP1KdTb+hQaZH0K
										Pc3asttoGLuX3UsvWG9CL7Ke7GkazYawUTTJ+BSiqcanEE0zPoXoC+NTiKazr9h8msnP5s1pHm/B
										z6MFxqcQLeYX84vpJ+NTiJbwP/OraRnvxrvTCt6bP0wr+TD+PK3iE/gEyuJv80mUzT/lU+g3/jn/
										nDbxL/gM2sy/5t9QPp/L59J2/iOfRzv4Ar6QCvlivph28aV8Ke0Wvghoj0gSlWmv8QtE2voFIusX
										yBUNRAOmrF8gz/oCiorzxHkssL6AYtYXUJL1BVTZegGqItqKdixZtBe3s2rm2wuWanz1sOrGVw87
										05nizGBtja8edqfxz8M6Gf887G43ya3EOrvJbhq713jpYV2Nlx7Wy3jpYY8YLz2sr/HSw/oZLz2s
										v/HSwwa4BW4Re8p45mHPGs88bKTxzMNeNZ552GvGMw8bbzzzsHeNZx423XjmYTOMZx4233jmYUuN
										Zx6213jmYdp45uHceObhwnjm4a7xzMOlHCfHc9/45OFJxicPr2R88vDqxicPr2t88vCGxicPbyQX
										y+X8TOONh7cw3nj4uTJH/sbPN954+IXGGw//k/HGw6823nh4J+ONh/cwX2Pw3h73OH/Yk57ifbyo
										F+V9vUQviffzkr1k3t9L9dL4Y14trxZ/wqvr1eP/Nv5z+ADjP4c/Zfzn8MFec685f8Z40eFDjBcd
										/qzxosOHepd6l/LhxpcOH2F86fAXjS8dPtL40uGjjS8dPsa72+vMxxpfOvxVr4fXg79uPOrwN4xH
										HT7eeNThE7zB3mD+tjfEG8L/4w31hvF3jEcdPtF41OHvGY86/CPjUYd/Ynzp8MnGlw6fYnzp8M+M
										Lx3+ufGlw6cZXzr8C+NLh083vnT4DONLh3+ZkJZQk88yXnT4t8aLDp9jvOjwBcYrDl9ovOLwncYr
										jiDjFUd4xiuOSIreGL1LZJgvOcRlxiuOuMpXfqK4wfjDEbf67fx7xEPGH44YYPzhiGeMPxzxnPGH
										I4YbfzhihPGHI8YafzhivPGHIyYYfzjibeMPR3zkT/Anio+NPxwxzfjDEV8ZfzhitvGHI741/nDE
										HOMPRyww/nDEMuMPRyw3/nDEL/5aP0usNd5sRLbxZiN+Nd5sRK7xZiO2GG82YpvxZiN2xHjMEwUx
										PxYTe2OVY8lCGw82Do/tjO103ERKZI4kzr4CQsWARImURAxjayUSGF1TkJpKNYC8Nakh0hvhp6gx
										nU4enQFES0COVhj7LqTWGFMvArr5Ft18i24B0O1m5Po7fonAuNvAuz3dhRwdQ7zrhnK649eaelBv
										qkIP45dMfehRqkr9gYbVgIY+pbCAxSjVfh2WxpKAj9WBj42R0oQ1oWasKTsN6aez0xE/A7iZYnHz
										TODmddj/Feh5ifXIlsJuA4aeZTH0LIuhZwND+yK9HxtIzdkgNgg8BwNV04CqQymDDWMv0jlsJBD2
										TIuwZ1qEPdMibDMg7DuIvwucbQac/YauYLPZbDqffcu+pz+wH4C8F1jk5UDeFtifC/yVFn9jFn+5
										xd+Yxd/KFn8vsvh7hsXfFhZ/awB/36F0/i5/l2ryifx9qsMnAZHrWkSuaxG5NhD5C+ynA5drWVyu
										b3G5JnD5R+znAZ1rA50XYL8QGF3LYnQti9H1gNE+NRABkLqhRerGFqkbAalTqalIE2l0mqguqtPF
										BrURB2pTE6B2Y+ybiKbIBeym0w12I1dL0RL7VqIVrrYWrbG/SFwEGuA49sBxpJjv7C6z39ldbr+t
										u8x+W3e5/Z7uUmB6f2rpPOYMJAZkH0aBM9wZSec6o5zRVMl5yXmVznNec16nqs4bzvuU4kxyJlMq
										0H8KnWX8tVFzMwbQH8wYQBEzBmCf5CbRhW4ltxKdaUYCOgsjwU8k3CXuEqrtLnWXUuAuc5eR4y53
										fyYXI8RKpGS6mUhZ5a4i5a52V5PnrnHXUBUzclDUjByg2eBuoEQ3182lJIwfvxFz89xNKGuzu4Uq
										uVvdrVTVjCgoq8AtoGpuoVtIF7g73Z2Qape7C5Lsdncjvsfdg3iRW0Qt3X3uPnAulpwqSSEdaild
										6RLDOKQIMC49isoEGaFARmWUhPSlT9VkIAO6QMZkDDQYqygRY1UV5E2WVZE3VaaBvrqsQUmypqwF
										zukyHXnryrrY15P1wKG+rA/6BrIB6BvKJqBvKptSVXmaPA3pp8vTyZFnyDPIl83kmeB/ljwLec+W
										Z4Nbc9kcNBkyA3nPkedQxIyLKOt8eT7S/yBbgrKVbAUOF8pLyJWXyitB2Ua2ISX/KP8Ima+T1+O+
										/iZvAv/bZAeUfoe8E6XcJe8Gn87yfmolu8iudKF8UPZAiT1lL2otH5LADfmw7EPJ8hH5CKTtKx/F
										vfSXj4HP4/JxcHhCPgEOT8onwX+AHICrT8mnwB9jM6WZsZmaYWweTs3lCDmCzjYjNKVghB6Fq6Pl
										aEqVL0n0fTlGjqE/yP+l7IzjmjrPvn/nJDkJeKBULSJSRimlFJVSZJShRbSOWkuptc455yMBQggx
										nIQQQgghOQkhiZY5yxxljllnnXPWUsaYo84555zjsX6cH+qcj4+zzsfX+vj4Oh/HnK/1oe/vvoLM
										7f3r7flcv1y9zp07Jyfh3N8rn+Rnv9iP87xT3An9vriLPcud9TAeqzhmeE98D7pfxDtTHBAHcN8P
										xEFWJv5Y/DFmHhJ/gr0HxAO478/En6E+Ih7EyJ+LhzDyl+IR7P2VeJQV8LUf9X8V/xUjT4gnkH8k
										foQxJ8XfYcxp8TSO5GPxYxzVGfH3OM6z4lmWKv5B/ANbIJ4Tz+FeYAWMvyhexGyfiJ9g/Kfip5jn
										mngd4/9L/C+M/2/xrxhzR7yDM/A38W84nrvifTaL8wTLB08kIE/UPcqe003XzWCzdTN1s1iBLkWX
										xhboHtdlsDzQxtOsWJeje4Yt0+Xq5rLndfN081CZr3uWfUmXr8vHDM/pnsPIAl0BxizQLcDeQl0h
										6iW6EjzKQt1CjFykW4T6C7oX8Cj8N6QqTi3sWU4tUFALFNQCBbVAQS1QUAsU1AIFtbAUTi1sNqcW
										KKiFpXJqQQ5qYcWcWtgsTi0YD2pBDmrBXlALFNTCCji1sAWgFhPG1+vr2ZfALjaWoLfrmzAGBIP7
										gmBQB8FgpKJXME9AH0Ae1AdRB83gSEAzGP9N/TfZc/qt+q24F5iG5YNpelF5W493l75P/13kP9T/
										EI+1V7+XLeOUg8pt/W3M8Bf9XzAGrMPmc9Zhs+P4Bx9lcao4FZvFiQcVEA8U/7H5IB6sj3FJcUms
										ANwzgxXHzYybyfLjHot7jH2J+wmy5+JS41JZatycuDnI0+LSMA+oiD0HKnqDJcavjl/NxPivxH8F
										+Zr4Nci/Gv9V5Gvj17HpnJlQicTvZkL8D+L3Iwc5IQc5YQzICWP+zzQVE6YJ01JZKecnVhj7JSzn
										JyZwfoKCn6Bfl77O0qT10nr2BelfpH9hj0gbpA0sXaqSqlimZJAM7AmpWqpmaqlGqkNukkwYXy/V
										Y4xZMmPMRmkjcqvUyJ6UZEnGGJtkxxiH5MDeZsnJHgeTtaLultyog8ygXskL7ZB8bI7klxSWIQWk
										IEZ2Sp0YGZK68IhR6U1UuqUtmBn0hkfpkXqg35K2YUyv9DaOuU/qwzzfkbYj/670XYzvl/qRf0/6
										HubcIe3A3nekd1i2tFPayXI487GnwXy7Wa70A+kHbLG0R/oR8n3SPox5T3oPez+QPoAOSj9mc6Uh
										aQh7fyINY+/PpBH2jPShdBCVn0s/RwWkCAUpQn8lHWVZ0q+lYxjzG+k4e0r6rfRbjByVRvEoJ6Xf
										oXJaGsOc4EjMf1Y6C/2DdA5jzkv/jr0XpAuY54/SReSfSJ+w58CXf8Jsl6XLLJtTJnsclBlkcxI6
										E0LsiYSuBJwlEGeUzU3YlIBzldCd0M3SE76R8A1U3kroYbkJ30r4FlvMSRQVkCiby0mUTeckygRO
										olCQKCMSZdM5ibJnwUTziERfJBIViEFjxBljzWkPkWUC+xq2BGLKLxNTvvQQU75MTDmTmPIxYspk
										YsqUh1wPtOR6IJLrgZZcD7STji/c9UBLrgdacj2IJ9cDLbkeaMn1QEuuBxK5HmjJ9UAi1wMtuR4s
										I9eDcnI9SCLXg+XkerCCXA9eIdeDCnI9mAXGnQbiTFAlEN3OBt1iY4XEuEVg3NdAk5xiX1N9RfU1
										1DnFfkllUpnYF8GvLVCXysNKVF6w7BfBslG2EBS7CfmbqjcxnrPsF8Gyb7MXQLH9rBT8Ogz9qeqn
										bLHqgOqX2Mv59Q3i1zLi1yXEr0vBr/lMQ/yqIXJ9hMhVA3LFKwRyfZnNEF4Bv84gX4aYY00i+TIk
										ki/DdPJlSCS6fZXo9nlhk7CZLeKuw2wlMW4aEe1c4QPhA/aMMAKifZJY9ili2aeFj4SPQK6cYp8Q
										xoQx1H8Pcn2CvB7mCP8m/BEs+4nwCZT7PuSSC06OcEX4X6h8KnwK5V44j5MfRKbwv4WbyLkrRJbw
										38Jt5NwbIlv4TLiPnDtEpAsTwufscfKJyFCr1AJy7haRpdaqtci5Z0QGeUZkqqepp6HyCLh5PhHz
										c0TMC4iYK9Vz1Gmoc26er34S3JynzgY3zydufladq85FPk+NTgoMvYAVgKGfR16sLmbz1F8CSc8n
										ks5XLwJJz1cvVi/G/Jyk5xNDv04MvYoY+nVi6FVEzy+Cm3vBzW+DlR8lVk4mVp5NrFykOQBW/hJY
										+RhbqPmN5iRbTMS85CEnCy05WUjkZJFEThYVxNAvEUOXkqtFOZF0MXGzjohZR8ScQKysI1ZO1l7R
										XgEHX9V+igrn48eIj196iI+TiY9TtOPacSgn4BeJgHUPEfCLRMCCKIKAdcS+OmLfFGLcF4ludQ9x
										bQqx7ItEsTqi2GSi2BdBrvOx9+/M+iLR6jSxUCzEyCKxCCM5s75ItBpjUx3xqI4Y9MvEoC89xKAv
										E4POJAZ9jBg0mRg0hVgzRewWu0Gu3xC/wQqJNYuJL0vEXrEXdc6XqcSXpeIOcQdbSmRZKO4CWZYQ
										Wc4mslwo7hH3scXgywFUOFO+RjS5UBwWh3EvzpSFxJSvgSlHcN8PQZaziSyLiCwXir8Wj2GG34i/
										wfjfir/FeE6Ws4ksi4gsFxJZLhHHxDHMwPmylPiykPhyIfHlC8SXS4kvU8U/in/EXk6WD5jyhngL
										FU6WRUSWxUSWr4kT4gQrIaYsIaZcCKachZzT5AtEk6W6J3RPscXElEuIKd8gpiwjgiwlgnyDCHIJ
										EeRs3fO656GcIJcSQS7RLdYtxpzcb0UivxUt+a1I5Lcikd+K9iHvqBXkt6IlvxWtbpVuFR6du65o
										yXVFIteVcnJdSSLXlQpyXZlFriuzyHVFS64rWnJd0ZLrikSuK0kPua5I5LqiJ9cViVxXZpHripZc
										VyRyXdE+5LqiJdcViVxXtOS6kkSuK7PIdUVLrisSua7Mesh1RUuuKxK5rlSQ64qWXFe0D7muaMl1
										JZ5cVyRyXdGS60rFQ64rWnJdkch1RUuuKxK5rmjJdUVLrisSua5oyXVlGbmulJPrShK5riwn15UV
										5LryCrmuVJDryixyXdGS60o5ua6sINeViodcV7TkujKLXFe06AFAsSD+p1gp8f1i/dP6p9lCUH4O
										K9HP1c9lRfp5+vmsEMSfh3q+Pn+S+wv1BfoFbCnRf6G+SF8M5T3AEv1C/ULMU6Yvg5brX4Iu17+C
										2Sr0r2JMpb4SPcNr6AcW6r+q/yrqvB94QV+lr8KR1OhrMD7mTcU7hCXoECx4lFiH0KR3YIZmfTPu
										1aJvYWX6Vn0rKh16P46f9wnF1BvMJi+rQuoQSvRb9FugvE9YSn1Cif7belwfqE8opA5hof4d/Tuo
										vKt/F4/Ou4Ul1C28of+Rfh/uxXuGhfr39e9jzAf6QSjvHxbrx/XjmIH3D8X6z/SfsReof3iN+odS
										6h9K4vRxelZI/UNxXHxcPPIE9A8lcY/GPYrxvItYQl1EGXURS+OS45LRY8yKS8HI2egliqiLmB2X
										EZfBFqOLWM0eoc7hEfQMa9mM+HXoHGbEr49fj0ptfC1bFG+Jt0Ct8VaoHC9D7fF2qDPeCeUOO4nk
										sJNIDjvTyWFnOjnsJJLDTiJ1IBrqMV6dNmdaJnt+2oppr7NF04zTPGzlpBMY7zrU6DTmMg31EnOp
										l3hGqqNeokGygHR5//AEdQ5z0TnYkNulJhC8S3KhwnuGJ6V2qR2VDskPmud9wlPUJ8ylPuEZ9Amb
										UXkT3cIz1C08LX1T+ibG8z5hrvRtqRd730af8DT6hO9gNt4nPEV9whPUITxJHcJ86fvS96HvSu9C
										eYewgDqESulH6BDy0SHsR/19aYA9Sx1CPnUIBdQhLECH8BNUhqWfsnnSAekARn4ofYg67xPypEPo
										E+ZLh6XD2HsMHcKz1BssoN6gUjohfYS9J6VTqPMOoUD6WPoYI3lvsED6N+k86v+O3qAAvcEfMdtF
										dAiPU4fwrHRJuoTH5X3Cc9Qn5En/IYG1yPMol3zUcqTr0g1UuP9RhnRTuoWcuyBlkQtSBrkg5ZIL
										Uga5IKWTj9rj0v9I/wPljki50ucSSIx8kTIByCAxckdKJ0+1x8kjaU6CPkGPnDslZZFTUi45q+Uk
										JCY8gjp3TcpKmJEwAxXunZRN3knpCSkJqdjLHZRyyUEpixyUsslBKTMBG/ZyH6Us8lHKIB+lzARL
										ggX9D++InkJHFGBp6IjwfkiIJETY0+iIulHnXVAB9T+V6H++jbw3oY89S11QQcL2hO3IuR9TFvkx
										zSE/plzyY8omP6asmFsbU825nabgVlJvZp8wZliHMCBMCCvCgXBP3aqa9uDWN1kLITYjtiJ6Ef2I
										XYi9iAHEMOIg4gjiOOIkYgxxjglBmYIZLlIIQSfCg/wK4jriFuIO4j5j1QJCj0iMPXb1TEQqIuOh
										2+yH/n9ebK7qAkQxohSx7KHbFYiViDWT9+G36xE1CDMCx1XtnLoVggqFqmk/Ygh5eKoWi25Ez2Tu
										QfRN5jsmY/dk7EMMIg4gDiGOTo4dpfGsmh8zvw0juhE9dFyxsadoHKvuQ+xA7EbsQwwiDkw+3hnk
										hxBHEXzsKQSvnZ/cf34yLqHG4yqezwji8NRzYdU3ELcRdxETjNVoEPGIpNh5r0lGpE3eZv79dmp8
										Tuw9wG9pfFLs/6f25yEKESWIMkQ5ouLvt/z1q1mFWPvQ7QaE8aFbC8I+dSsEr8aOu8YVe2413sl5
										gv9/Qe/rhyMUC34c/zDfqn+KKGLL5G30/5lHCPJj24bYHnttanYi9jx0ux8xpHm0qkQu9zsNF233
										udoFUj30ij0Ret0+E3rLngq9Y8+A3rdn+538Xsp4tWCfp9yrKpMr/J6qcnmVX6nW2wtIi6fyRHup
										X+F7A6yqQl7rD1fPtC/zh2P5pK6SN/i7q1PtK0hX/lOeYV8Dzbavh86z10AL7GZ/N79XQKxaKxv9
										PVUbZIu/r7rYLkNL7U7oMrvH38frAanKKNv9O6pX2BXoSns4ML3KIrv8u6vX2LtJe0j7oOvtO6A1
										9t1Qs30fVLYPQp32A1CP7AqkVCv2Q4H0Krvs9e+rDtuP+vdVueSgf7C6Ww4Gsqq8ctR/oLrHPgrt
										s5+C7pCjgdzq3VTfwbUqKG/xH6qKytv8R6v32c9M6aD9vP8orwfyJ3WLvN0/Wn0Ae7lemsoP2a9C
										j9pvQEftt6Gn7Hen9Ix9IlBUfb5JE1hUtU3e6T9Vfakp3n+KZjszWbnalAS9wZVXAkurtst7/Oer
										b+Occ13xIOf1wPKqnfJ+/6Xqu03J/ks8D1RWTzSlId8jD/mv1miaMklzpvL4pjxoUlMhNLmpBJrW
										VAbNbCqnvAKaIw8FVlftl0f8N6qG5MP+2zV5TasC6/5BC5vWBtZVjcjH/HerDssn/BM1JU0bSI1T
										eVmTxT9RdUw+rWhqypvsU1rR5FI0VSfks0q8ZdBzk3Sc9B70QDuDHmoXoUfbJeho+3ToqfYUJZ7f
										K1RpOdOeHtlbdVq+oCRVnZUvK8mW8+1Z0EvtuaQ8v9qeryTzvZGBqgvyNf+g5UZ7kX8wlk/qZfmm
										kma53b6IdOk/5Xfbl0Mn2iuVtI2a9tXQ+PZ1Shq/V2S46po8rmRW3ZTvKTkbk9oN0OR2EzSt3ark
										8HrkYNW4jSl5GzPbHdCcdnfkSNU9m6gUbsxr95GGSDdDC9u3Qkvae6Fl7f3Q8vZd0Ir2vUohv1fk
										+MZV7QPhywZmWK6UbFzbPqyUGESbpJRxjZw0SLbpSvnGDe0Hocb2I0o5r0TGYvVJnW5LUSoMKbZ0
										ZdVGS/vxKbW3n1RW8Xrk3KSm27KUtRtd7WOk56Zyb/tFaLD9CjTafh26pf0WdFv7Hej29vuRixt3
										eoXIFUOWLVfZsHGPV69soNmMk5X93sQHyiuR64ZcW75i2TiE1w7qnfkg5/XILUO+rYg/L28qjh95
										ZGzjiDcDeZFtkWLfeNibTTpvKj/mLYCe8BZDT3tLoWe9y6AXvCugl70rFTu/b+SOYZFtqeIyLLUt
										V7wbr3nXTOlN0nHvesWLc1uJM7zctloJbrznrSE1P8itzCsrwaprtnVKplX0OqdU8nqUTEOlzaBE
										a1Y1eUmDU/napih0Q9MWqLFpG9TStB1qb9qpRPm9AoYaV9OegMmw2mZSthjW2azKthpv035okDRK
										uqVpSNnG9wasBoPNoWw3GJpGuPK8ZlvTYWW/wWRz+3tqtjcdIz3xT/nOptPQPU1nofubLkCHmi77
										e/i9Ag6D1eZTdhoctpCyp2ak6Rr0cNNN6LGmceiJpnvKHoPbtlnZX3Oa9KyDBdwGn22rMlRzwSGS
										SqTTlSGDz5GC/LIjHXrNkQW96cjlddvWgK9m3JGPyj1HUSBkCNl6lZFa5lgEFR1LlRHDZlu/crhW
										svUHNtdOdyxXDhu22nYpQ7UpjkpoumM15kEl4CPdGttr6LXtVY4Z+m0Dyv7aLMe6Kc11GHBmUA/0
										1uY7TIH+WG7YZRtWTtQWOaykjild5HBDlzp80OWOELTSsRm62rEVus7RG9hVa3D0B/ZinoPK6VqT
										Y5dyGvkR6F7bcRyh1bGXdABHhQqOc8B2Ujlb63AM/6PyemCg1u04GBiu9TmOKIWGYduYcqE25Diu
										XOB54KBh2HES+UHbOXpGY6R/z3MdF6GbHVegWx3Xob2OW9B+xx28Rtsc9/HccV883yO2i/7zhuO2
										K8rl2l3NwpTuJR1o1iuXDSdt15VrhjHbLf4eaE4knflAa4ebU/EeOGe7o9ysPdicMaVHmrOhx5vn
										BY7UnpTLA8drx5oLwCecDU7Wnmsu9nfXXmwuhV5pXja5go/xdTBwrvZ68wr/aO2t5pX+UVqJLtbe
										aV7DV6Xm9f6rtfflE4ErRqG5xj9h1Deb/RP093LdmNgs42+Hv29vGWc2O/09xtRmDzSjWZl8j93h
										r2/gvjG7OaycMOxq7obiPAQF47zmHn5Omvug9EyNBc07oMXNu5U9fMWJ3LdO9ypYfXDljwrWFG9Y
										SbOme7uhWd6e2PU5qudXuWiiNdfbp6y15nt3KGv5dSY601rk3c2vOd59UFxJoqnWRd5BXD2Weg8o
										Qf7OD/iMpc37lArjsubBoN64ovlAMNG4svmQ/5JxTfNRv2Jc3zzqDxtrmk8FZ2LMGYwxN58Pphrl
										5kuB6UZn81Vlm9HTfCOYYVSab/v7jOHmu/4bxu7miWC2scepCc4z9jnj/YPGHc6kYIFxtzM5WGzc
										50zzjxoHnZnBUuMBZ05wmfGQMy+4IsYbxqPOwuBK46izJLiGE0Wg0njKWRZcbzzjLOevgrMiWBNb
										2Y3nnaugl5xroVedG4Jm4w2nMSgbbzstQafxrtMe9BgnnK6gUqdxeoPhunhnMNgdY9rqNc4oXn1i
										pxil1CU5twSnuNG5zd9Xl+zcjpUa741gX/Woc2ewry7NuSe4oy7TuT+4uy7HORR01uXRyELniP9o
										XYnzcHBfXZnzGPJy5wm/s67CeRq6ynnW31231nkBusF52b+7zui8BrU4b/pH6+zOcajLec9/qs7b
										wqDBFhHHE22RoFtapgcHq1e0pPh31G1rSQ8eqNvekgX2wBkIHqrb2ZI7+d421O1pycc8+1uK/BN1
										Qy2LgkfrRlqWBkfrDnPCrDvWsjx4qu5ES2XwDP+7CJ6vO92yGpQOVg9eIr1ad7ZlXYzAgzdIb5Pe
										JZ3gj9KpiWndhRaDv6fucosJz/1aixXHdlO2d8bXjbc4JvMk0mT+99WZVnePn0nOw52ZpDmcezvz
										TKzF3ZlHeSFpiUls8fkPmaSWEHgYVNxZZpresjnGwJ3lpBWkq6qvtmz1nzKltPRC07lyau1cS7rB
										lNXSHyPVTqMpt2WX/7wpv2UvFHVUiloGYtTaaSG1k7r4X32nlzQYU9OilmH/DdNSeaQzalrectB/
										21QpH+7cYlrdcsR/17Su5TjU0HLSP2EytYyBLfG6dG4j3W6ytpwLJtaaWnBVNDlarnTuNLlbrnfu
										QQVXRZOv5Q6OPNRyv3O/abNL6BwybXXplcOmXldi54ip3zWz8zDqqZ3HTLtcGZ0nTHtd2biq09Xb
										NOCa13naNOwqwNV4zFXceTZ2JTQddJV2XjAdcS3rvGw67lrRec100rWy86ZpjBjggmsN1oLYKkPX
										7dgabTrnWo8VH6tt57jpIl9tTVdcNVjpcNXqvFe73GXuvGe67pJDzHTL5VRGTHdcns7LsXW5Nsul
										4Lncd4U5S7i6lWi94Orha7qrz99Tr3fteLDa1ie6dvP1y7VPOVE/0zWISqrrADTDdejBSlGf7Toa
										EuvnuUaRF7hOhaT6YteZ0HT+7EIp9aWu85NXWkf9MtclzLPCdVXZU7/SdSOUXr/GdTuUhTNzN5Rb
										v941Ecqvr2nVhIrqza3xoUX8vIWW0jzLa1lrkjJSL7cmhyr5NTy0epJ2oKF1pIYHVGNzhEykxDkh
										B6mbH0PIRxqqd7amKTvrV7Rm4kg8nEbqFdvmoFAfbs2J5aHNpFv5WhDq5VfdUG99N51h0EWon3QX
										8cOd+p7WPKwXyEN7SXvr+1oLlWP1O1pLQBTgitBA/e7WshhFBAWuoWHSrbVZreXKaeytgO5rXTW5
										4t/hGjpYP9i6NrbKh47UH2jdoJytP9RqhKKOytFWS2yVDx0nPUk6xtep0DnSraQX60db7Vi7sYJ3
										GutPtbqwUmMdD12pP9PqVa7Vn28NKtdqjrVG8d442LpFuUnn/DrpLToPw/WXWrcpF+qvtm5XLtff
										aN2JNZ0otP526x6l0LrceyiaYa30Hg3dt672jkazreu8p7pGrQbvmeg8q8l73j9otXov0ZirGOPw
										3gD3ur23owVWn/dutNga8k5ES62bOzTRZdatHfGYobcjKbrC2t+RHF1p3dWRppRZ93ZkRtdYBzpy
										ouutwx15WDcPdhRGa6xHOkr8N6zHO8qi5lh3YD3ZUa6UW8c6KqKy9aQ3IzJmPdexKuq0XuxYy1fV
										jg1RzySHX+kwklqg1zvsUcV6q8MVDVvvdHij3db7HcFoT6PQEY32Neo7tkR3NCZ2bIvujnWgG/M6
										tqPninU61FM0zuzYGd0X6/IaUzv2QDM69qMj4Gv94MZox1B00Cp2jEQPNGZ3HI6GG+d1HIt2b0yi
										kQUdJ8JDjcUdp6OHYn2WZbADPW9jaccF9LO3Oy4raY3LOq6hr8zruKkUNq7oGH/w6I0rO+7hGKhL
										alzjY+iYYsez3idCa3xS9OjGTN90Ja/R7EuJjjbKvnR/Dz8D0VONTl9WjFUiw40eXy5mU3z5SrAx
										7CuKnmns9i2Kno/1g409vqXRS419vuXRq5xzojcad/gqsa6hs47eJr3buNu3OtYvRye4duZwDWRx
										3aThj7KJHmtTklXy4fw37vOhF24c9JmUPN7/bkpuPOCzTuZppJmclzY9OJPoXjflkRbyo9pU0njI
										59hUQnkZaXnjUZ9bqWgc9fnQvaKH3VTReMoXinWsm2K6lhR9pW8zztgZ39YHynvMwH2um4yN5329
										sb5yk6Xxkq9fsTRe9e2Coo7KDd/eWI+JR+daRkqd5ibqGTe5SL2Nt30D6BzRP24KNt71DaNPRBe5
										Kdo44TuolMka3xFovO84GE/0nVQy+euyaQvptqpx39im7XKS75xSLif7LipeOc13RQnKmb7rSnz9
										3db9StS0uXUIV62J1hEwqhtXxf1mTevhzgvm+NZjoTvmpNYTgV5zcuvpgNuc1orebUovhO6bM1sv
										dwnQa6Q3oTmt4116c17rva5Ec2HraRA79XSmzW6GmUvcYtdMc5lb6ko1l7und2WY9vLrJ1c8SoU7
										pSvbvMqR3zXPvBZaUDPuRgdn3uDO6io2G925XaVmizu/a5nZ7i7qWmF2uRcpx7h2reTXya41k70V
										qdnrXuq/aw7ahrvWm6Pu5V015i3uyi6zeZt7dZds3u5e1+U073QboNvdpi6PeY/b2qWQhs373Y6u
										bqgbOuT2BQehoeAgv5Z29ZhH3Ju7+syH3Vu7dpiPuXu7dptPuPu79plPu3d1DfKraNcB81n33q5D
										5gvuAcVuvuwe7jpqvuY+6D9vvuk+gmvgCvfxrlHzuPtk16nYCsW164zhnOto13nDOfdY16UYudWd
										cJ/rumq+577YdaOBua903a7a4r7uH20Q3be67jZI7jtd+obp7vtdEw0pbUJwTUN6mz6sachqSwzH
										N+S2zQwnNeS3pYaTH56toagtI5wGzQ5nNixqmxfOaVjaVhDOa1jeVhwubKhsKw2XNKxuWxYua1jX
										tiJc3mBoWxmuaDC1rQmvarC2rQ+vbXC01YQ3QM1hY4O7TQ5bGnxtzrC9IdTmCZgaNrcpYVfD1rZw
										2NvQ29YdDk5qf1tPOBp7t9SMt/WFtzTsatsR3tawt213eHvDQNu+8M6G4bbB8J6Gg20HwvsbjrQd
										Cg9hnqOY53jbaHik4WTbqfDhhrG2M+FjDefazgf2NlxsuxQ+UT/RdlU50XCl7Qb0etvt8OmGW213
										/ZegE9A7Hk34bMN9T3z4gkXwJIUvW/Se5PA1S6InLXzTMtOTGR63pHpywvcsGZ48xWLJ9hRGmGWe
										p0Q5aynwlHXdtRR7yiOipdRTERy0LPOswrHRo1hWeNZGJMtKz4bIdMNqjzGSYjB4LMp2yxqPPZJu
										6PW4IlmGfo83kgsNKqct6z3RSD50SyTfMODZFimy1Hi2K5mGc56dkUUWs2dPZKlF9uyPLLc4PUOR
										SovHMxJZ3bDLcxhnCRpZF+v6LYrnWMRgCXtOROhzmwixSsRh6bb5Iu7YXxxnjEDu5CcV//jXcTD2
										WUHsk4GuHkuP53TEx9f3SIj34JHNk+9J+nSIf7YQ6LX0ec5GtsZIzLLDcwG623M54Jj89IY+VzFr
										bNZIL//riPTHun7LPs+1yC7qOu8wgc1S3VL9N2Oqv6rwf6p7qs+YRvW5oGKioBVEFidMEyQ2TUgS
										HmUJwmNCMntESBXmsEeFTOFJNkPIEZ5hjwnfE77HZqmXq19mKdpy7UssVevQNrM07a+0v2LpidjY
										FxIzEl9lGYkrE9ezysSqxC729cS3En/JgomjiTfYjxNvJt5hZ3E0rzMN/X41kT3C4tijbDWbxtaw
										GvYaM7I32Xr2DbaFhdhW9jELs9+zP7ET7D9U8ewPKkmVwD5XPaJ6TKVSpapyVHr+/UXVLNU6Vb0q
										TdWgCqtyVVHVNtVyVZ/qe6qvqH6q+p3q6+r31e+rXBqnpkXVqlE0QVWbJqp5U+XVvKV5S6Vo3tZ8
										RxXQvKN5VxXSDGgGVZs0BzQfqro1v9T8UrVV8xvNb1Vv0a//tmnGNB+r3tZc1FxSfUdzVfOfqn7N
										nzV/Vu3U/FXzN9X3+bfZVLu1M7QzVD/UfqydUO0VtWKW6oz4tPi0alx8RsxT/VV8XixRfcZ/qaD6
										XHxRXCZoxHLxVUEUXxPXC4litWgU0kST6BAyxBbRJ8wXN4lbhOfFrWK/8IL4jrhHWMF/ByCsEgfE
										j4Q3xFPiKaFJPC2eExziBfGC0C5eEi8JXvFT8brQwb8vJQTEv4jjQli8I04IUR3TJQhv6abrHhPe
										0c3SPSm8q8vWfVEY1C3RWYUjumZdj3BD923dt9X8uz796gTde7oB9Qz+78GpZ+l+phtRp+kO6n6l
										Tuff11Fn636vO6cu1J3XXVUX6/5T9zf1l/XZ+iH1av1f4p5Q/ynxs8TPNPwXX1YWhUosnf8ieMkt
										xH3GlhYgslm2vOtli7xXHpCHX94vH5SPyMflk/KYfM6mf91pS7TNtKW+fsCWYcu2zbMV2IptpRX3
										Xk1/aVflIfniq0y+Il+Xb8l35Ps24dX0V7rxrtLgPX6L3uN/ZSrV56rPmYB3dBJTY9/j9I1QJrwn
										vMdUwvvC+9g3KPyYqYVfCL9gWvpGqCj8Tvgd09NvmeKEj4UzLJ6+CyrRt0AThD8Jf2KJ9P3PR4Q/
										C39+8K9/qVVq1dS/dqhViyyZfvuUok5WJ7PZ6hR1Ckulb2zOUeeoc9jj9LumdPUi9SKWQb9iekJd
										pl7CMuk3Hln0nY2ncPySajqdOa5MTmPgBzlTzpHz5EK5RC6Ty+UKeZW8FrpBNsoW2Y5wyV45KEex
										b4u8Td4u75T3yPvlIXlEPiwfk0/Ip+Wz8gX5MvSafFMex75x+Z6N2UBlNvCWDbRrAzX9w3bEBhay
										gXumtkrbats6m+GhzWSz2hw2t82HsX/fjttOQkO2zbattl5b/9S2y7bXNmAbpu0g5htDrch2DtlF
										2xVk1223MGeR7Y7tvl2wbcbzV8VZJ68a/Hflj9I5ScGmZmnYNCybPc20bB42HXsWm56VYItji7DF
										s1Js09gy9mX6/eAruOrEfjn4NbaOfjm4AfMZsc1gZmwzWTNzssdYG/OwWcyPbTbrxJaK69FbbA57
										G9vj7LvY0tkP2B72BfYetifYALZM9iG2J9nPsWWxX2B7iv2a/V/2vgc6qurc95yZM5OYpmNMIwLG
										iBhTjBgwxIiRRoqRUgyTmUmMSAPFQGfO/DlnTibzPxRpSlMuZfGQcjGlPOSxkMvjUaSUIlKkyKWY
										Uh6lmEspj2LKpbmIFCmlNMWYvu/7nTPJEGKl69631lurXXv9fmfPPt/+zv7zfd/e+zAZDlL7DlMa
										g/+/80HhpPAroVj4NaWxwr9Telj4D0olwhXhD9T2HuHPwiNCH6UJoknMEMrELIp9Ffge9xMU+3KE
										Sfged6VYIN4nPCneL94vPIW/WKyiaOgQnsb/czdVnC3OFb4gNoqNwjP4Tnc1/j5xhhgQA4JdDIpB
										oUaMiFHBIX5VbBVcFDvbhJkUPf9JeF78lrhM+JK4QlwhzMbfJ86hSLpb+LK4R9wjzBP3i28J88VD
										4tuCW/yp+FNBFn8mHhG8sF8/RYExQiCzOLNYCOLbc1rmI5mlQhO+MdecWZFZIYQzKzMrhQj+XiaK
										78fFMudmviAkMudlzhNaaG67hWuw/XL+vRsllzCcUEAoJBQbGG+gnDBJeE4ZrhQohUqxMl4pVyYp
										U5Rpil2pU2YpcxW3EqAUIsSVhcpiZamyQlmtrFU2KJuVbcpOZY+yXzmkHFGOKyeVM8o55YJyWbmm
										9KomSpmqTc1TR6qj1CJ1rFqqTlQrlUNqlTpddaj1apfaoDaqsqqqYTWpLlLb1GXqSrWd0jp1o7pF
										3U5pl7pXPaB2qEfVTvUUpW71onqF/180S6PFS4vgbNscslgT2ed/lX3PoHQ7rDwHVn4HrPwzsPI8
										WPmdsPJhsPLhsPKRsPK7YeX5sPICWPm9sPJRsPLRsPL7YeWFsPIHYOVFsPLPwsofFI5QKoatPwRb
										HwtbL4Gtj4Otj4etPwJbnwBbf5Rs3SSUw74fg30/Lt4jFpDds2VPgmV/DpZdib9TeBLWPBnW/HlY
										8xRY81NkzV8lH3hRfJF8gP9a4Quw5mmw5unit8Vvkz+wTVfj7xRmwJrtsGaHeITs2CUeFY8KtZnP
										Zj4r1GXOypwlPJvpzfTyXxznLMpZSvOUTWP/KUEM7xCEwFLCCsJqwloq203XDYTNhG2EnVS2T7oj
										sCy8Wi3864BMcbQksDK8NtAe3qCOvxFcFlgX3qyWEyZFyxiBjeFt6pS/DpYJbAnvDGwP71GnDYA/
										B3aF96t2Ql20IrA3fEid9dcBmbnRyYED4SOqO3wk0BE+DhwNn1QDhFB0KvLxaLW6MOoKdIbPBE6F
										z6mLB4DPS6MzA13hC+qKT8Dq6Bzo6A5fBi6GrwWuhHvVtTo4H+iJmNQNA+DPgb5Ipro5kslXhiJF
										bOq2TwbLKVmRPCUnMlLdeSOUYZFRSn6kSN1zI5TRkbHq/gEoYyKlt4LmVckjSklkolIWqRwSFZEq
										RvOa5HGGMjky/ZYwNeJQqiP1H4fm9cmTiivScCsIbUycVmZGGoE5ERmYH1EZzZuSZ/ga6kxmN29N
										nlN8kbCiRZKDEdqeOK9EI4s+Cc07kheadycvKwsibUBrZJmyJLLyBiyPtN+EVZF1N2BNZOMtY31k
										i7Ipsv0mbI3sUnZE9t6EwWO9O3LgVqAeis5X9kU6lIORo0OC7qlHoj71eFSD3OFI5y3hWOTUkLbD
										+k4SzkSjyolI161APRddoJyOdPfjbORiP/j+BcLlaCvy16JL1N7ocuV85AraOwhBU3QV8pciPZ+E
										YGZ0TdAWXX+DjquRvhtwPSoNRjAvuik4MrpVFaJZwVHRHbgWRXcP1Z6Pg2qN5qjZ0WE3ITearw6P
										jr4JBdEx6QiOje5LxfYbYrERK1MxLlgaPZiKQcGJ0cPpcaTfTtLnNTUvqTGqjB7rH9uq6In0NiGW
										7KOYQvbYfFC3y+bDhg+zXx0jnEheY3tvPk04m+xN2XPzebrSc4LTo6eDjujZYH30fLAheinYGL3K
										60tQjl7ncvSN1oigGhN4LQmGY9ZgMpYdXBTLDbbFhgeXxQqCK2OFHNu5z8H2WHFwXWw8x+fgxlh5
										cEtsUnB7bAriMsV0Hovgrtg0jp3BvTE76w0eiNUFO2Kzgkdjc4OdMXfwVCwQ7IqFgt2xONZIXoN4
										TeAxvBgtCV6JLeR1LNhD609qnPtidk2KLWYdfE/Lii3VcmIrsPak1tq0OerXyTDWlNRawO3itVEb
										Flut5cfWaqNjG/rnmeVp7njutTGxzVpJbJtWFtupVcT2oGwyreErdfB6zev2Ddior8va1PBOrMf0
										nNRazFeA7Ad9G7TG8pWhVYfPMHh9TK2rKWiu8GVG/xrJa6axNqavlelrZGqdTEGbSesgrYVY+2g9
										1OZERjFgt7zOjdahzY/tZ7vUfLFDmhY7gnw0dlxbEDsJm6X4obXGzmhLYudwb3nsAq6rYpe1NbFr
										7Lfa+lgv+xP6tSlu0rbGM7UdcRv8IuUHRlzkWKrtjudxnNP2UWwyfEQ7GB/JcYvrp2LgTb41yK/6
										44vhW6yD46Z2OHpVOxYfxW3sr0/y7G/aiXiRdjo+VjsbL9XOxydql+KV3G6OSdwH7Wq8Srse19eG
										T4pBRruaBCOOp+LSyTQZo83o66B43N8fjsMpfNyzPiaeNlmNa3Y0i+cihZviZHqs5PiYipFp8ZBl
										oYdlODbRGDTlRrc2X2ox8Rw3X23J5H42X2+xhYWWvLC1ZSSXI2Zpyc3h7JZR2L+Q3bFsOLelCPsN
										2neEh7eMxZ6CYlq4oKUU+zRjTxAubJkYLm6p5PU/PL6limNduLwFsTA8qcXBYB8NT2mpD09raQjb
										Wxo5DofrWuTwrBYVezKKl+G5LWHUdbck+/dMvOcx9ijQZejge+FAy6JmV3Ip2pXa26X2Bq6BGAyk
										9jDG3oN1QUeopS00MuFCnVR9lucYzZ/ZLngMuG/xlmUo431jCsY+8Qbcyl6Q25ba06Xt6/rB+7kU
										Bu/rUnu0IfZm4YU6PnFvxnuv9P0X77lS+670PRa3leuyTGpMDN9qGh534FoQr28qjDfAVnnPk/Kr
										4nhj0/i4DJTH1aZJ8XDTlHiyaVp8UZM93gbUxZc1zYqvTLf3prnxdsAdX8f+1RSIb2wKxbc0xePb
										mxbGdw3pb3Q+aFoc39u0NH6gaUW8o2l1/GjK35rWxjv78xvip4DN8S4GfG9bvLtpZ/wirnviV1I+
										2LQ/3tN0KN7XdCQh9fsf+VXT8UQW2nMykcMxq+lMYhivPSnwnrLpXCK/6UJiNPp8OTGm6VqihGMX
										x4+m3kQZrykp+ZApURHKTEwO2RJTQ3mJarbH0KjEzFBRYk5obGJ+qDTh431BaGJCYz08fqHKRDRU
										lViAvS3Nf2h6ojXkSCwB6hPLecx57EINiVWhxsSakJxYH1ITmzh2h8KJrZBPJnaEFiV2h9oS+3gP
										GFqWOJiKzaGVicOpdSnUnjgWWpc4weeR0JbEWT5ThHYlLoX2Jq6GDiSuhzqSAo9j6GjSyucRXrtD
										p5K5rCPUlRzO8xzqThawX4UuJgtDV5LFoZ7k+FBfsrxZSk5qzkpO4fWd7zXnJKexz0GO2t08LGlv
										zk/WNY9OzuK2N49Jzm0uSbp5zpvLkoHmimSI+9U8ORlvnppc2FydXIyYYMRcjpPNM5MreK1snpNc
										3Tw/ubbZl9zA8a45mtzWvCC5k22Xx4vzza3JPbBnsoXmJcn9zcuTh3gcBZMg2tpsKwThH/+C8nf0
										LygXhSsD/w7grRYCXs0b9S7wtnqXeJd7V3nXeNd7N3m3Eu/w7vZWGykK7PMe9LqMdNh7zHvCe9p7
										1nu+fq/3kveq97pP8Fnru33ZvtznhvmG13f5Crzz9UQSBF+hr9jr01N9x3M5vvG+8vpdvkm+Kb5p
										PruvzjfLN9fn9gV8IV/ct9C32DszlUhiqW+Fb7VvrXeOnnwbfJt920huJ9rHLWJJvsdPpCfwe/5P
										byHb/uJ/yXvQGeQbNZTuwHvQXLwH/Qzeg96J96DDBFnwCXcJAUoj8Tb0brwNvQdvQ+/F29BReBt6
										H96G3o+3oYV4G/oA3oZ+Fm9Dx+Bt6IN4G1qMt6EP4W3oWPK5I0KJcJTSI3gbWoq3oRPwNvRRvA0t
										F/5DeE94THifUgXeiT6Bd6KfwzvRJ/FOdDLeiX4e70SfEgvEAqEK70SfxjvRqXgn+gW8E52Gd6Jf
										xDvR6Xgn+gzeiVaLXxVfFOzi18SvCU68E3XhnWgt3ok+i7eh9eTprwvPiW+Ibwiz8E70S3gnOhvv
										RL8sLZW+JczFb+U1SrulN4T55NeHBLd0XnpPkMl/rwk8f3Fh4YCtynlCqZwnj5RHyUXyWEql8kS5
										Uq6Sp8sOuV5uQFopt8vr5I3yFkrb5V3yXvmA3CEflTvlU0iNsiyrchj1x8pJ8CK5jbiR0jJObDem
										h8huHjbsJhfPZ4sx0Rx9lqyHbUWi8S8l62FbscJWMshSniYb4nfmt5F1zCIbYvv4FOwjG+/JP039
										8pMlsTXkkC28RPbEdpBLVrCJ7IktIE/4PqU7YQHDYAF30fwfJLvl9+EjaM5/RRbGs343Zj0f78Dv
										oZm/IBRgjkeJOTTH92F2R2Ne78eMFopfFucKD2BGP0szqgljxCjNaDHecj8kLqNZHItZfNj4HUl+
										pz1OfF3cLYwXxMzyzEkD8+Gpl+7w1A9Ocqu8xNPgafQs05O83NMgr+LkkQcneY1H9YT1JK/3JD1J
										eROVDEryVs86zyJKbZR0nTtwXelpTyV5N8nclOR9no2kYYtnu5F26Uk+CD5MvPfmJB/zHPB09Kc2
										96FU6tfcNjgF9/uXe456OlMpeMhzykhdg1PwCLWqW0/B456LnotyFpUMSsGTwTOeK8Fznh5KfZyC
										F9Rjnj5ZkrNSKXhZzhmcaHSWeDZ6J3k65WF6ch/XU/CanC/nBy/I+QPtTGtxr3uFPDqVPD3ymFQi
										jbruEvnEoHRaPkvPKetP5+UKTu4VN/davuQZKU/uTyw3TJ46KF0lXJerkVyyyyvo5V6rN5uuM3Xt
										nLy53uHynJuTt0Ce7y2UfbCXRd5i7jEn73hvuXeSu9c7xTvNax/Qk6axzn08zZ40OeqdpSd5gZ68
										c9m+vW7YruoNeENsC94424x3IduHd7F8wrsUvZ3qXeFdjRathva1clSOsqVoJozHRi1Ts/Goank8
										+tpIHmnvBu9m7zbvTu8e735Pg/cQ1TtCuo97T3rC3jPec94LnjbvZWrfOu81b6/P5Mv02Xx5vpG+
										Ub4i31jPOvd+X6lvoq/SV+Wb7nP46n0N1GKVWrnX1wgva/PJPtUX9iV9VZ6wb5GvjXSx16JHkFwH
										P6Ee+ZZ5kr6VvnbfOk+9byPpPkRyjeRLu3xbKNfg2+7bRbzXd8DX4Tvq6/Sdgi8n9eTr8nVzb30X
										fVd8Pb4+v0Teyqndn+XP8Q+DjdOT/PmeXf7R7I3+MYQSf5m/wj/ZP9Vf7Tngd3k6/DNZC3uef45/
										vm6pcpnf59f8Uf8C2eVv9YT9S/zL5flyvn+Vfw2N8gL/ev8m/1b/DrLXqTQDFf7d/n3+g2RzLv9h
										Ssfkav8JWGCJXKLPFeTmsMXwXPlPE876z/svySX+q3Qn6r9Oi7o1kB3IlcsCw33rAgWBwkCxpzMw
										PlDONQKTAlMC0yjZYeMV3qUorQvMCsyVXQF3IBAIUYoHFpINc6oILA4sDaygVs/3LAqsDqyV8wMb
										2E4DmwPbAjsDewL7A4cCRwLktYGTnvbAGbJHjfsWOBe4ELjsnUIWGpVLAte8+2lsdnmnkMed0kZR
										7JqjHtOKtLGebq2U7LnP06NNpEiRo1V6z2lV5Mud7kPadPWYeoz92lOlOeQxWr3WoDX6pnsLgtk0
										2hvZKimacXzq4ceSFEnQpw5NpUjF8Q4WrEtyhMG8VHkuamH3Ci1JNr6IyseQXCfFq3yNaxzVlmkr
										qY3t2jpto7ZF267tQhS8qO3lCKgd0DroaUe1lVon0imKc5Ie63y7NDyNLVhrdx/Xujmaad2kmSUv
										ale0Hq3Pc0BbpkcuxK4czUSpncZ0NLfEfz7Qq/BPvGUqNiWPItRmZaQy0r2ZbGW9Mkop4pjkaVTG
										+sJKqVyhTFQq/a1KlTxVma44lHqlQZ6pNCoy3VGVsP+8klQWKW3sscoyZaXS7lnkX6OsUzYqW5Tt
										yi6lXdmrHFA6lKNKp3LKKyhdhG7lonJF6VH6VMk3Vs1SczxblFP+85696jCSbvB0+ZfgDr6T4wnz
										t3L8O7yb+Zs5nnX9382Zo873dKk+fDvH+G6Op4+/m6N0es8Z389Z7jkw5Hd0zquXlE71Kvlajzeb
										v6XjzQ5ayU5dZK92mvntcjSYS7FxjPvQwDd3vLRaBMvlnOBwf47xrR3j2zry/GCdWmJ8U6cA39UZ
										+GZO6hs5ewIh7KYe/scJ8+/ohCkLGr7VMIxYcJ8TRE+pkOfuotTt7p7dMLvBfZFSu7sd+SvuK7O7
										Zne5eyj1ufu4zCNRyvJkcVnDwoaFnhxKwzzD5pTNKfPkUxrtGU3PMdnsthp6Rg5ONAJONCacZczY
										80o4y1hwirFiz5uBU0wmTjG34eTyKZxcsrHntWHPezv2vDk4s9yB08pnBDFnfo6KPuF7h+75guhe
										Qlc6o7iXS3dM73O33gqq17pbn5EIWR+DHB3V23Q8M+wWkU8YPQTG6Kg+RNeSW0P1cbqWGagwMFmH
										e45+rb5AuEz5qYTqm1HdS1fXJ2NGpqFjpgHWP38QfENAG4To34AFhNYhsISwfAisGoQ1twaXla7r
										CZs+Blt1uLJ1PLPjFrGbsO/j4cql68Fbg5Nt57CBYwZO6HAN169Omh9XAeVPE87eDCfb2flPhquQ
										UEz5SwauEq7fiGphCFgHIftvAI1F9fAhQP2pLrwZg8e6uvjWMGMiXccTyj8GdG9GJaHKkJt0i5gy
										tO1AB+t00HXarWFGPV3twBJc69KQkmk0rjJBpfysgWelY0bYyM/9ZMxIEhYN0uEehMDNmNFGWEb5
										EMWd+fp1RvvQ7flYxAkLh8BiwtIhsOJGzFg3ELtviLepeJmKYxsH4suMLTfGj347SZ/X1Lykxmh7
										2tjuurFN/TEl3TZTPpzyLdZl2LyrbpBd83zuJRwgdBCOultruA20vsw4pZdzn3iNmNHlxlriphg7
										4yLhCqGHQP2387pVrffXTmuVndcqmhc71bVTHTvHAc2I6TQO9jF6vLSX6HrttJ646b6d1g87xRQ7
										6bKzrpnG+KbGk+ryOmnn2M86KwbGmXXZo7oOvmenWG5v1dt10zwNmqP+9cSYJ9bFa6Od4r6d5sm+
										Kq2+S587/mynsbdTHLeT39m3GjJSGnKGwOB1ecwQKHEPrK9pa2w/pqZh8BqbWi//M+vkAveNa+ES
										98AamLbe2U/odmmn+G8/a+TJ5uyXDJsle7NTLLdf1z/XCMaVYnVNtu63Nbm6P3G/aij+1lD8rSk0
										/CLlB0Zc5FhaU2zEuboBH6kp1+MX1++PgYN9a5Bf9ccXw7dqjFjM9l8zRW9jf/25ur/VUP0afg49
										u4biX81cvd2IS9SHGtJXEzDqfVL8GRTHh5RJtXmIeNyPWWn4uGd9QjzlebgBg+NkeqxcnBYj02Pi
										eKPuQuNesR6jXXP1OXa59X666HkuknPF9XKOWU6yHRfVw/5lgS7romdgv0H7DhfHurNGPFth2Kax
										J3CtJlBM4PXftcGIc5t1va5tOthHXTsJewj79TjsopjmOmLET4qXruNG3ZPugT3TsbQ4um1AB/ZS
										Z6jdB412DY7Dg2Jw/x4mFYe3GTrOuVsdy4w6qfrn9diMz5v0MUDfLhhl69OwdQjcyl7woHtgT3fM
										3b+v68fpNAze16X2aP+ZvVmu+8b9V4G7f991w1q2z6g7fGBMUr5Vs9S4st+tdg/seQy/qiGbqNlg
										gOyhhsa8huavhuavZr8BsoGaIzfae81xAyd1/6qhea6heaqh8a+5PLS/cWysuUags43DRMgc8DeH
										LS2fZ2CkDvY9xyhCkXEdO+CDjlICxTtHZZr/UZ8dVXp7HNP1mOVw6GtPCryndNB+ztGg99lB+zaH
										rMcujh8OVV9TUvIO2q85aB/moH2Yo023R8dKAu2nHLTHcWzU9wWOLYYeGj8H7Ukcu/R4zPPvoD2E
										44CBDn3MeewcXK+TQHsJR5ceux3dhjztIRy0h3D06HtAR5+7PzY7pYF1yUn7CWeOfh5x5utnCiet
										kU5aI520b3BW6OPonKyfR3jtdlbrOpwufZ6dM3W/ctIZ0knroZPWPyfrprXOuUBf33GvVfc5znO7
										nTSvTlrznKv0tjvJ/pzr9Tl3stxWvV9OjmHkb859ekzoj7kUw5yH9bXSSX7m5DPTaT3eObk9l3Tb
										5fHivPOqbs9sC04aV5egjyN/G+PTBz79k398G+Pv6V2ZVCwd5H9RNR0WXhOEjFGEIsJYQilhIqEy
										7VplXKcTHIR6QgOhkSATVEKYkCQsIrQRlhFWEtoJ6wgbDWwhbCfsIuwlHCB0EI4SOo1nnSJ0EbrT
										rhfTPl8h9BD6BCFTImSlXXMIwwj5ujxfM0cTxhBKCGWEirTrZMJUQjXBRZhpyM8hzCf4CBohSlhA
										aCUsISwnrCKsIawnbCJsJewg7CbsIxwkHCYcI5zQ+5V5mnDWuJ5Pu6bkL+ljiuspo56cdv8q4Tr+
										i2/hNiuB/PW23IErj89twwkFaddCQnHadTyhfODKbb5tEmGKUX/a3wbMWTqm6+Dn36Bv+CDYCXXG
										1X6znttmEebq432bmxBIu4YIceE151LnCudq51rnBudmhjXu3Obc6dzj3O885DziPO486TxjDTjP
										OS84LzuvOXtdJlcmJZsrzzXSNcpV5BrrKnVNdFW6qlzTXQ6g3tWAz40u2aW6wkDStcjV5lrmPOJa
										aQ242l3rXBuBLa7trl2uva4Drg7XUVen6xTV63J1uy66rrh6XH21Um1WbU7tsNr82tG1Y1zh2pLa
										stqK2sm1U2ura121M2vn1M6v9dVqhCjXqV1Q21q7pHZ57araNbXrazfVbq3dAeyu3Vd7EDhceww4
										UXsaOFt7vvaSNV571UjX+3Ocv14nGMlKKdvVU5dL5af1VDe8roAwvK6QUjGl8XXldZNqr9ZNYdRN
										q7PTmjBiyF9cEIxfXMjELy5k4RcXsvGLCzb84kKOiX9xIRe/uJCHX1wYhl9cuAu/tTDCNsr2iHC3
										bYKtSnjYNs8mC0/aArYm4Wlb2JYQnrEttL0oOG2Lbd8Qam0v2X4kPGt707ZPWGTrsL0vtOLXFzb9
										f9wyUcwVNXxfZY/wkCDcf8IAefr9Zw2cN3ApLc8g777/upE/y/9xu54vtBrINkCeXkgeVEjeXUhC
										hcW6bOF4Q57LytM+TzKuUwxMG3hmoV3/XFgnPOS0Usp25jqHOwsoFTqLkcY7y52TnFOc05x2Zx3S
										LOdcp9sZcIaccSpd6FxMuaVUo9jwRt0f2RM3OPfQXN2OX9oQ8BsbJvzGhtlWaisVJNvTtqmCxfZF
										2wwhA7+3kW37sq2R5sFr8wv32EK2ZmGULWn7qjDa1mr7ulBk22vbK4yx/dj2Y+FB20XbRaH4/7F2
										se9L0hPEsyw+4k8hn4V8GfJlyE9A/hHJzmxZhHyYuNTyMvJPIO9D/iHkn0GtscQlhrZaaFvIdyHf
										II1htrj4W0+WJOXzpEJmS4R4B2Re4bofIf/Rm9DTinK/3iqjbZXQ3Iz8NJQjb3mB2foyyj+Hknmk
										5zfcwo+6LDPR2kr0SK/7EGS+hNY+Cp3zkH8ceS9a/hR6J6Mu5x8x/wUlDyP/G2j4FO5OQ7kCzU+h
										vAn525F/EjIleHoDnnI7nvIk8k8hr8uXQ95NPB758ciXShXgcmhACXgCyh/DKD1m8eMpFZDh/ARz
										O2odgmQYmjcgvx75o8gvQ34vt6FvMuQrUf4oeDHxOPAEzNcE6Wnw46g1H8/1gt8QRFPAspy40rKE
										+BsWeropivxdYDP4pGUNcRtLineA16BWKVhgNr8IyQ2WbxHvtHyX+D4uEc9xXvwQd9dCfjbk1yNf
										Bs6Dzvcgc7/0M+J86SfELqmTn8J58Rfgt1Huln5JbGdJMRM8B7VMyL/JbC6E5DyUKywv9kHD68i/
										ibv1uDsS8k+jbjf4z1KQyqstLNkjqZS3Wt7h0eBysdFymPi3ElmO6QGWET60vEklNvD7Rgmx+fPQ
										8wC4CHUD4HbwfZbP4u4LPErMpg+RPwH+LfhlqYHnKOMesInZ2gvuRMkD4Nn0rIX6DELyG9aPeB6R
										v0tn1LoLte5Crbsgsx13t6PkJEraUPI/2BLEOzhPbGJmDcSdKHkA+Y9gD2SfpvmQX4C6pSgRkBcs
										Z8FcMga8AeUb0JedyO/U82jhTrRwJ9qz00rRw/xz9Os+WOB9kH8UrToH/lBny0q2LtxdC21roW0t
										tK2FtrU8SmSB1AYznmvWn5iHWnno3XvQ9h769Wda7ogt58Ad4NfAvbhLvmYegXnsgeQp8CVwj+U4
										bOMa2wyXkB91gF8D94KP8yxD/rfQ+Vu9hGuJn0arxnNe+JBlyKI6wK+Be5kligYmUbc9zos2aHvf
										8q/MXCJ8mDEL8r/h9qAlD3CPTL1oQxFKilBShBYWoYVF+l20v0i6RD39sm7Jlqtsw3hKO+pORMt9
										4PusUch0gF8D9+K5j7Jts7zZojPG87fgl6HtZYzYYfYsikgbYNX7YKs6wwKR36kzNK9FPg/yeZj3
										PC6h2VEw8mDuHY2hgv7CZ5np6ecw/lyyFfbzOPiLiIEjLP9C/J61mng5yv/ALILJO/4Fs/w/2VtR
										chKSs+EFeeAy6CllNi9HfoNlNVpOtcyPQv9/Q93JkP8N8iXgN3R7RuR8HVH0XXhBBpdbr7NtWDfz
										uFnu4bqSn0fP+i7nrXbOm3fD8qfCnv+NOUPi/lpXSV3cWljXYoxbM7eH/NGOMR8HHoExHwcegZEf
										Bx6B8R8HHgF/HAcegbkYB2b5P6L9L0FzPvoeQGzZCc7TY5f1IUSqMuICbon4IefFtzCzlRkPcgSD
										vBn5k6jVpscotLwN/luqxxm+a34Rfv0iZDaA7wM/CY8+p3PGD5nprM5P5LuzYTmzERnWcwmtTax/
										Gu6W6VECdd/LeA4WQl5gGgeukH6F6MQyn0PJA9K78ME/EU+Gv1yx0spr+lcuJ4/4EyI/eYQ4D/nv
										c4S3dMMvBJa31CEOfICSEYg5b8PXbsugeCj+GP4iYfav82xSRPoAdv4BPP0DeO4H7KcGwweR75Tg
										m6zHpFh+T3w7M2k4jlp6/OEIcwl9WchtNtstPyau0WMd1kcF/WrMoB2U6UW91xxzSPMXue+snyLP
										A7wCohefN+LhcbSHuV1n67fBVxE91mO3wLHoQ9w9YTBHiVrr1xFDHoXPMj+VMRor9buIUe9iJGml
										Fg9KZ/Cs3yN+/olHBnd/CMm7kS9G5Bxn+SblL0jTiS9LfswdR9FH8dxHkc8Afxv9PQo2Wf5IPcq0
										aFjfWU8ZdimFGKsqPOUd8BHI/wwafqZHTjzdAf4jz4U4BpFzNuL5T5BfCZ5noR2maSb012PWRkHP
										OZQg8ounwC2Q38q9Fq9LzehjC3GxdILjCWReRY/e53aK66BhPffd8iiPkqWI2fwy2yTFJdJm/oDz
										Ugz5GLfc7MQsj0Ck+pMRqdiuPsPazPdyC2k15F7nol+/lk5T/hHpp5TfjpJytOT34K+iDafQrwrk
										61D3aWkHcZXEK/UqztO6w2N1GpJF5jsp/zto+xC8BeVPQcNjUhvx78HPWMjHTRLadg+e+Drkt0lv
										s71B53VwG8r/CA0V0HYc+RdQfshyBm1my/8G79ZoVxYjXs2RnMqrSP9z1gkk3ySxT/mYaX/ItZ7G
										+Gyy/BR+1wILZP4J795N91ufAz8BLgZngZ8Hv0Ss73VdkCwDu6xjOeJxXvyFwcXgLPDzYJZxQ345
										tC1HiR0lcy0cYzNRN5OfTlwMzgI/D2b5xyA5B5Jv6oy93DzomYeWK8grRr4YnAV+HlyPODOHRulJ
										7L37oLMP2l7XdUpb2MKhpx566qGnHnrqoaceo1HP2sxPs6S5Bvw8Wt4NPd3Iv43822j//dZ3MBo6
										6z19B60CW7Kh8x3UfQLM5S0WOvGZbOA76UzP8fApRDmKEqYalH+HWXwbea+lCt7NvBUlJyB5J3qa
										L20nXsh5k4nZPA35eWCFa5nvYKbVh+vmotab0H8RJRp7oqneMhE2zGO4gkfMOpl7aj3ILP13riX9
										iXfIlvc5b12MXcdjGMMkxtYE+cmoexL+W46zj4PPszRW8zBK8zBK8zBK8zBT8zBKnP8J2vMC5M3I
										349xVphp9GC9lhq2Uj65Uy94LfiOtJ9K8g271S0zC9ao22QxrCuLz2uY00KUz4POPvDrBvNK93pG
										FPIsM5JnjexhLHqns24PYyFTjLsvoeQltDZCMXaxmfyxz27+A7PlPkH86Of83uOjn1u+RvLf5RO6
										+bBlLo3n4xzhpa9w3vx98LdRvtkSIn6FJUXI0+pPLN2Lus8wW/2QfIvfTkhv87sLcxc0PMvvQ6Qc
										3P0Bar3KnHE3yodBQy94K+Tn4mS6kOfd/EOO3uYzyH8BPIFZGsXnWWk01uUlkP8xZvZXzJaNkJnA
										eWkkS5r/CVHld8j7cPdB3B3ObK2CBv0EvRU8Dc96kmOg+RV+42Geyuus+d+xK1iCc8FB3rebD/GJ
										mPZOJCMu5/EUN2BUF6DkG7xDsFyCnn3gTvC/gX8FPefAR8Ex6S8of4F3s8yWt5BfCH4D5+VrOB3/
										gHd90pPY+/3IyJuYeedG3ImSB3CXVhbrYxh/BZLZ4MetCeL90LAM/DudWQNxJ0pYw/ch+V3U6uUS
										qRcl2Hla/hnr4z9jR3oQ3AI+hR3mL7CTPIh97Cs4QffxrpJsiXfI3XhiHfiHHGktI6BzBNe1JJFP
										6nnWQ9yJEtJj+TqflDNM6JfZMox4BvRcQDufYX+XvgcNNoNZjw16bBif76Ev3+PxsTzO+YyI9Tvg
										ONsG9CR0xqjeBv1bue/mKPZ4v9SZ92/EHeDXwL2QoThmfQpz3QrJqRY6cVhett5L2j7HJ03zLi6X
										7tKZNRC/Bu4F27l3uIsTtPkQl5g3oO559krxNPbJXwWvBh/AfnIRzqTfxJn0a9gvLcfeAOd08RLv
										AE3roXk48sf41GyutPSx76B8AuuRznL7Jey9pa/ojPKvoLVfQWu/gtYu51ZJzXx2tv5v1BKwY8xH
										33HuNteCd2Of8AP0aDVO0C9hJ3YE+h/WGU95GE95GE95GPJHeFSlb/KzrGWWBeAOvNngWnfqjJIa
										jMY1jFiP5V34QgWsWme2zxI+O5O9UYlVs8A2kPeiRwn4VALyv7S8hxnRmUe4gM/RksQllkZpL1rI
										+UXI34n234mSXFhjO3imJY+0neOzsOXz1uVU8g6XW9bi7tPM5h8h/weWke7A2fkgZDpZ3pIF37kX
										/DzOwt/DKfgys2UE79MsSa5lrcRTJkPnT7E+/hqavw9trWAbn7ilXbj7KrwpD/wZvnsb3hRlzsLJ
										6y8cpS3zOL5lvIUYPpXzpv+Ds/lj8Kle+MsruhejxAoNH7LOzFnSOqp1B1aBP3MLaeR5dj7iczTF
										qxGYl3FgPl+vw/n6f3GeJMeBR8DTx4FHYL7Ggbnuq1aOA11oA95USHXWfF7jEK/eBicQQwr5JC79
										hk/f0g5mWgfZug5bX4Wds48fRL4XvXgFdbsQG3/IJdbjHCusfpS/BZ6P+NCFus+Cf5fxCLiNV0Au
										sWSwRWXcDflh4FehExHVvJnP2tIX+NwhvQDOw4r8nOX/snfucT5V6+Nfe6+992dmjOXSkCS5hxBj
										XJMk5BaaNEdCMUxo5DZmJKGOXCaJcktuR05JUiSV25EK6SZNkkolSUTllpTPfNfz3vu8Xpnv9/U7
										nV/nz/Pq1Xs/+1nPWnutZz3rWXvvz2c+FhNdp5CtfdADfV+evzbwxJfJWvs6uIS9z+p9nmTtGpTn
										oze5p/pBLL37yQMT5W4/Np/1eFbmMejMbM4WTXC9L/6pIE+1NsIlp/Guz10sjM2XPUjvltWnc+Up
										21JGsQ55Hat7isi2bkgprUvp5aysUL5H+uA1lKvYvdU+kXkteC77mPc5BUK7gp5nJz3FHipPTHky
										Fv892WGD7mTXn7gTWMpTzECe2n6R53SPd496iTyhu5MlwweDpc/+cXLCZrJrXzzwkcjuQfgepTcH
										JeAwuaJEkZ2Lg7IjUzoOHifPvEot3oLqi+WZ3Wak1fR8tWS5wMa8V5y5qAv7MWtjPcm3b8JCxv4N
										s1MRG57u9Uw4Fd6EPoMnuAIZqdcBTVXkRt77tC/PffjN+RRvJOONy3gSnyhP8d693ve2hwOo1Unu
										r/zDRMsb3m3kIhnvBupuoG4noqUCnj8Kp9Cf9czdpTw/PsyMv8ous5y5bonmeXmO8Hga9TZj347W
										XhT6HyKvJbcHyON4pg5baA4fkGd873PW8kVy1+p1k376vr9AMgb9nE+0rOdecbzeZvUHxZPBRxKl
										dicSThJ6X3syL38nz98rsv+dL3v9S+xWX2AzkEx4jjzZj9LSQv247JJ+vvQwuBEPfE5v98pTv1dM
										nvr1SJ6gj9GrLoz6csbVVnrlv40H/oJ+jYxCb/XsU4O3UD5x8xboT+iDlYOPaX8P9gOY5QHyHsDG
										uVzxA/RVkZ+IbKTNafIeIFBCb4m8DfDSRR/k0YeZ2FeQtwHuj7TfB6aj/4oWuonsP4ZcPbwKb+fq
										sirZH4NP8dV6yJ2wXgHHwnA9luE+dhP+1N6nVq4tu5J+A+/N5f1naa7SGbbCYzvJDOfJZmfxz1R4
										AzFWj2el9bBxJF8Na8MkeCul9tnHf5h7+O+xfAi+5C+37TdHrgunR6wNk6C0cAOWFXnSHC8abzya
										smiO84SbzzPmEngr3MWzPP1xn+aJ71HeLZySpzO71mwt9yksT3Hd++SO11tKm0ulrvcg8qGIV8Pa
										MAlKT36SdwL2ybeP9WRdxviyfKKtv6XN2vAO+Jo8+Xo1aW1qxKthbZhE6a3Qesx7X1oOtsinfpZP
										2RZep1a1iOKlNbTcXrxh/dwVjwkfYewV5X2CHYXV+J/L2wZ7FZE/Q67G1auJxltF31oI9UnPPl/r
										4d4/ZF3408hsUnqW0tNwMJr75Mlar4J3icZvg/1ofHs5PCW0meEF2Z2Rl8JDUss/L/T20Gam6PVk
										Wq4Evyc/TPXWWvaktBEeXgJnik1CDfFAAn7wH+F58yS75x6RY0PZQ1dR+jAeHo/3roEPEmNzaKGG
										tJmwRu6Igkd5Gt3gbbClo6PYts/R+vkoPjN5hpLImSyybSeTGc/EwyI3krcTXh5XWSTt2PvGehIJ
										xG15WI3+LOZa/f1SlqlC3QV/jmNO98O7sB+PfRXkPGb/FtEE1SRC/GXoG8Jy9HOqyO4xWngo6AVP
										yNxhc5/MftCG0k1oWtDmSjQ30fM8fP6a6IMtQXH6XBxvyLcvGhbaXUDpwreQn5PvD8DUwqeRa8Ep
										8m2EqPQZyHcJCscghywHZ6IP665CXkVrK+HnaD5H3ouN1bvZhfLOsyV8EObCi6GGe+EkoVNKqOJo
										UqES6vHIS+FaWDmU4/K++iB1f0WzAPam1hLkNJiCzXfIVWEFmI7+A7gdTRbsgiaB/hxD46LZRMvV
										0GTCIejDPg+hPy8jZ8Dy2LfF5hD8BX1n5LPIAXId+E1c8mF1rsuIHCMa5yjtXId9DVgd/Txswp6E
										9nvgXDTZ8SYSq6H/RXYvhnvh30KfI/cPfY6s4FK4Ni5r+f3Q56JxZsFfKV1A+2vDcSFfgryGUg3r
										h2NBdsKx0EKJaBSi/yocV/xd28LttJCFvmk4OuxT45Wspl88g1Fk0PMMephBT4Qp6H9Briy0182g
										5QyuJWzGtTrgz0tp/yQsz1XCOCFm9HRYi3E1otYjsFXc3p84YZ/rwVdhSRgTxsoJg1lC713YTMYe
										PIk+QWT9ShTDTYjMAfIJbBiZcfnc6jTyzHg1K5+JN2Y2DzGPh/C/8N5wls/vk1XG6FrGh8sqQ84N
										5fM7kYvhN+EkSifFb4bF8KTou6FPpZZCVpFcTNYgmqURh0OpdTOam0XjHMT/v0YcDosxO+2gyL2l
										VC/B5ruI0tpVeP4UI7omXDtxeQPWCv2JKFqsZ9zXw6g4/6uV84io1aLxz2GzXjR+OdZRh/N8bwEP
										z42XlLv9eFNZp+flXp0IdBaKb511aMYJbcvy9EQG0F1p/yzenoflXCKzKm3+cl4+EagXl72mM6MI
										8EYQyni+PKMuDjWsHu8AixGfoknED0ellsJv+rooYsWHt8N52NwPM9HkRa2Jby9FDj0/N6LYvBG3
										e4prGOlL+CeM+dr0/wg++THybTMrE+eW8hadSHYeg+9Bl7FvFR/aHjaDoiEf6ja08yF8h9bI/84n
										YqOOE8lV41Utu6Gfh/5N0ajD6EvAZGZhdrT2Zb560GalMEPCffBI/DdG2hTK5zXsIM5rcCX6MCrC
										PJlOy0fpySL09SXGPOLHOyj2fo1C6xMd5s8PpD/6B/Ghl4ecx0hvojTMdT+HeUDGaym9vQiby9GX
										xuZz5AbIL0T50PbWaYzmJxjmEMblNofdIXuHG/qWfOJ8BtmVnBXor4dNIK25neL2Tskln+jLsFwF
										2Wfd3bAvnIJ+BpZhHzagmQl/g29Fe5PMzpywzyJ7zyGPpdZwODjc3YiKgBirAwPqHkTeQ2kj5NVR
										DIgM3XAXroTmAzQt4R1cKwH9PrgJPbuD3Xl32f6T1Z04pfeiz4hWawatZdBCBnkjg1LRHEIOd+0y
										MLzfGERrb8NwTxyBzJ2Dsx6Ptcfyc/aIUuGMy+7gVkQehuUX8Esy/0DIPY93F2Rv9fF8wJ2SDudx
										CKPYXpjF6m4r/glnLdRH45IdIZ3stAlei03V84fZRzLgcLK6yO3I9t/AD8gYXdB3iV8Li+GfYvhf
										9LXJIZvw0qZIlr3gKkozIw6nt8VYTWLzcuTbdlD0d8DyZP6utLY9otS9HmbzychJPgF5gre1T8Rk
										x6+PXD84aus2QL6Ce+Cn+e5QZz6pbO4Xyrh4n/ONyO4nyP/gmT38dkec72BU5fPT7Tx19uAz1h7B
										LZIT0B8V2Q3lk35byWl89nqJPB2oVLe5lfN9eXOV5g2SZ3zvScudIru7PPk+yRqhPuHJ82CBWKpD
										QmcgtdoL/c1CL4D1PHkr2J7W0mlnOe9GWtLOb2ITdKduenhdobsPtvHKW57V90J7162zkHPR9xDq
										YXq/6EVWu4VOHUr3Cf0UbCbClfphS5cW2ngOYxH9GEhr/pzwinA/nADXaHmbWlvozkKu5Pe08kGR
										nVPyjWLbQ/tEoJNFo3Zo++SoPhO6G0Wvdoi93466ZcMWRO8m6A2ypvQ6yfZ6KXqpdVxK/SRslsPj
										6GsIrV5aSBP6S+jVWdgcTpB23B5Rn6294wm9vUKdDlfSQ+06Qnmro1xk13VF42ymlOcs5wDfmv5e
										YtjNl3zlTpZxufKZ8iKRnZOufE9vjyvvlqe54ywnuTY/O6XE3pkD50Mt1ONpYak71XKtKxFeWcu3
										j1rpqZJFReP8is0CrtibWkuQ02CKm2BtvsOmqivRXsG9SGbWlU8b24vsbIcr5d9wdLu4SbCsZAA4
										As6ARqir0UKmyO4Qt6KsKdfGqjtUZLe0+7msffSbsMzAsjx12zpyJ+bS2iHnWbl3cmpYTXXniJUL
										HLu63VKOfPNQi+zUcevTQzsWdc5LkR1TSh0f5ruNReO+YlvuRN3qsEYk77OMCdVpWpsH69N+dedr
										fGj94/7qjJV5QfMNLc/FJiZUx6WW+ll64n6iFH/j0EAY9BbK9+et5gXkt5BPIw9Cnm0j6pNgmeVY
										2ELoFxPqb+FKNJfAZKFbBT6F/R3Y9BMGcWzawkGUtka+D/l+LHfAM+ibod8gjLVCHghrYvMh8g2w
										KZq3kWciPwJ7oFlAf0rC8Lo+8m/0qj2a7XAftc4j74fV0QyF96JhvF4j6uYje5S+C0+i6YR8K3KM
										a00ROj8jh977mBYewOZG9HvRN0DehvwWfsAb+jm4E9aj1iexbPncIZwXkf1i8LJwdpAvgcnw+nB2
										RPbeCudIZN0PDoe5tDYunClqVQ7nC3lEOFNY7oBn0DcTxlrRck30H9K3htgzFu/h0DPY9EXWoU9E
										446kPxXoeVh6DvbES5uRh2FTCh6m1h7sw3msCC+mt8y1j5f8MAbCnj8Gw159Ss/DGP4Jy5H0bT3t
										Z8Ew3voTgfQtGIwl19Lvw63Y9IID0BxFNsKE/dJmApEc1KLuEFrDJtYNfRo9qRWuF7x3lFpvYpOC
										/hB1qyLTmv4euR3yg8hJyGFEjaWdlcxCnHG1hhvgQPgolrdTax0yERLczdjD9XiQ605Gbo7+GJZ4
										I3YPskutDOScMLa5+jOhn+Hl1F2GzHy5eC9YCBejCXPFzHC90EIDZnkbLEWfO2OTCVlTfjVk5sXr
										CpvQwi3IfWBHbArgl5TeBUP9FZAc4rKWvWdhB9p/DT4N52FDPnSXUOsIMXwcDXPhMhZvNWTNetdh
										uRZ+BFfRWl3k09h0h73RkGMD7ANyUew27MmrXoDMVQLyqncKskb0D8iMyM9DQ/70sNR42CUC9QFk
										Vpn/EjbLYZjTpqIPM+2rkHnUoVcnQbKi/zXyXJhIr67GkijSrAtNDzW7gzeKWmEkfIEeP8TIAH46
										+o3oWYP6GsjaD56nz9mQyPEYhcfMenjVDUcRzi+7Q0Cm9cL5oq5HZtDhtV6Bu2EYRWGGCTNhuB89
										RN/YU7xwXyMqdHHkMpCVEoSZ+Qai9xHitiRxu481Tjseq9LHz/pdSsnw3pUwzAPMr0886zn0ZzTt
										z4BEgh4Dw935K+RfIC0nkF0T6LP/IrVYcbEwp61Az+wElHqvU5fcqIdKr5QqbA7Lwedkx4nLp3tj
										YQuhX0yov4Ur0VwCk4VuFfgU9ndg008YxLFpCwdR2hr5PuT7sdwBz6Bvhn6DMNYKeSCsic2HyDfA
										pmjeRp6J/AjsgWYB/SkJw+v6yL/Rq/ZotsN91DqPvB9WRzMU3ouG8XqNqJuP7FH6LjyJphPyrcgx
										rjVF6PyMHHrvY1p4AJsb0e9F3wB5G/Jb+AFv6OfgTliPummUXgavpx3s9XCYi2YcpZXhCGo1RE/7
										3sOwL9RcdySsQAuh/hzsSd3NyMOwKQUPwz3Yh/6sCC/mivjcp7d+OBf0wXsMhj35lNIwln5Cpg/e
										elrOguG89ycS6FswGEuupd+HW7HpBQegOYpshAnMZgIRFdSi7hBawybWDQ36hDfRpFD3EPqqyNTV
										3yO3Q34QOQk5nMdH4e1o1iEzL8HdjCKM8IO0ORm5OfpjWDKu2D3ILrUykHOwfAb5cuyXIeNtl7EH
										C+FiNOGKYxV4nZEzIRHoV0PGe15X2IRatyD3gR2xKYBfUnoXDPVXQFacS+R7z8IOtP8afBrOw4bs
										4S6h1hGhcxwNPnTps7caEuHedViuhR/BVbRWF/k0Nt1hbzRkpAD7gJUbuw17spAXIHOVgCzknYJE
										sv4BmRH5eWjINh6WGk+6xIk+gMxa8F/CZjkMM8BU9GFeehUS1Tr06iRIDvG/Rp4LE+nV1VgSIZro
										1fRQk0u9UdQKZ/wL9Pghxhrx09FvRM9K0ddAVmjwPH3OhkSIxyg8ZtbDq244inB+yaUBeckL54u6
										HutXh9d6Be6GYRSFeSDMNmH2foi+kYG9cBcgKnRx5DKQVRCEmSG0Dz1JrvOuhKxHj7nziVU9h2uN
										pu4MyCzrMTDcp75C/gXSZgKZLYH++C9Si1UTC7PKCvR4PqDUe526ZCf1vtZK3onJd1eq+Um8jZG/
										727PG6EsLZ96L+U9UgdKF/m+kjdIKZbzeJPmisb9Dv100XuBWNpNyJc3J+h7Cf3dQq8e+lO0MIzS
										w8JgBHIWbE+bx0NLrp4vfwuvk+WNmbsIzYPR+y55+3eat2cdeZN2LnxjhmaZ1HJ3oXGxPw6XM8Zk
										oTuBkXbnndg23lalIafpl6WW2KhC0TsXRW/JLNVXvBNLpZ10arXhzVVz0TgXeQuUvCtbKauG0kWw
										hzA+rFD+MrdboXxTaGOhvJnsIW8w3F0iO3WQe1LaBnkT8l4sx4rsxGmhBqWvU2sPcumwNTQH4kvR
										SN36sB/6uFg659A8jn016v6d0sbItSkNkO9Enoxlc67+CZZHKB0tcjxd+uN1Dkeh5PuuZ0XWJbhW
										FeRhijeraDw0O7HfJww8JbFBT3RtbMohu3A/lgnIychdhDaGRF7OFdcgz0JejmVZuJS3Q4eQs7DJ
										pW5PuaJeF/VZSsdw3Xfo517kU9EVJRrrI/fCvl98g7x5E73aHZe3uO1pcw6lE6ibKP63GY/3omhm
										MCPZtN85/jR9EPu+IrvbpOe6jsg2ppvIbkittqKxdRfa0oXxddZXRIjzSlzejq6SUpu7nma8MqLa
										tHBAJfEOfx05UP5Os0p4FfkWhO2t9HwF+nJ4vgxj3CVt+qNp38RnW5u12MyIS+RfSpuG0q2wgfTK
										mR96T0bnTIKpYu/WiG/hujtldkR2NyLXgAmwvtBeayPyFq61WOKQK05UKbJ25LruRlVC3kziseNc
										MR39QbiNWV5CrZX07UvYiugilvz+aOJir/cXyqcJFQq/tzxJm9nhVcL5Yn2djVaZeCYfOSaU3/6y
										2ZUo8qbA1hIDQWMp9T+WPvjdCs8xF6vhSlai1L007InI1jPiq9OF33F3NIsVynXxVQWZO2cSfWuD
										Jlfmzs3Hb8uRm8dbin/iWdhkUTqRUUyU9s//gOYwn7tJC8mwjWjcWvLJjtcUDx9Hsy0+RqJXxuIc
										YS6+xD4BVo/LrxD4fB60QPqmU+JPcq1hrIgC+YyA3ip6eFlcPhXKKpRvAiQwxhcYdaLEldORWM0S
										D3gvhPMlV3deCaNLLANizI5uCzu7+LAaeeZAmDdkDdrRiQ9PSWmwSq7iFNBmZ3rVA3+Wpm591kJp
										0dunNj5xEPpJ0kPdlbXZQ+ZLnRMPWJ+sZBZuxFJG1CX+MfyKK9YmkqWde+OPUFd8PkJ8YvkcdfdT
										9zARLnFeXnzilIvzOQ6lt8VPI8tnMR4+34rNKuyXhcQn8/n+0lxKZ9NCM0Y0lWs1i77jsYU7K2ln
										Tfh9J9rPpM8J+PwvzMhyoTMD/7yj0q1PSpIf6qOZIFQ7xBvWY9PJY7NlrZFzWkk7do5+pW8+u4/w
										HeyPiyf9JTCVuStPdrpD7K23JRICrrIPn88iv3kS/zankc2Y3x5km0miUXyXTH0G1+KrVazKGsTh
										dOw3hrW4Sn/6c4TxtowycAt8K1fZRMzMCEdBOwmitzuUzzdVZBW3k+sGj8ovONkIl7+ze1O1lGdA
										rnKQ1T2MSKtG+yvlujbCfyU+S5C1UthrUtiV2FmIf0OceGShPtifIZtNpyf7VCp5bxp9Fnme3ZFs
										nOONcsSqK+3rXvj/lTA7RVmxHbtwEzJYU/ZraX8Blqfwxl20MDEahZWDMJ/PCNdatLvJ3xhOcN9G
										lh1hB75qzEgL4u+TpXey+jbgB/nL1u5C/0e+k7aOFmYR4dloWuLDKdKaXcur8ZvM9WE4nbgai74k
										624CUTFGZPUzO9p7aMZiXxCt6JXsWWHOT5WsQjwki8/VZ4yrTzj77NfLwlLy6h5WRzmy6ASYjSbO
										/liWu4jm7Cmb0ZDz/RVESCqeHMOn+bnEcAV2BO7WYtzP2B2c+wquVU58pQuiaC8ge6wjBypGEWby
										AvKAsA82W+LzlXxGP4xeSZ65mRa6YLOcGB6Ipgb270QcxrwMI9oLGOkwRreOXXgpfbaa+C+FB4iE
										dMZ7t7V8JtwxqTUiuisL79wkDt+k7gRV0cpbGON6+v+FMN5AWis8I7+FZdnP2gzn/d5h3sjxFjSB
										z55UkthY9uPTOtEoWrjNl++m9gxOy++kISchN0BugJwW7EOzBE0B8mT5XmuwErkA+TylxUWONZJf
										SEOTZmdPWvgIG4/fRvtYGJyVPsSknZSgrTA2R34hTf6aL744tlx+IU3k85tEjj8QzJdfSIv9IJ8s
										xy6GZ/kltG+k/VCWX7ew8i/o+fWz2DPIrZEHyu+k+dvld9LCMQYHxT6htMixJCx/o7cNaacvNuUp
										bc+4msJfGPV0Sjcin0VfA817UP5WOjWhMm224OqD+Uy8ANnF5q+0vBovFXBFl6tPRX6Zus3l28gh
										pf/Wh1+KPsEgN6eFUJ9KH+5AboZ8Jy18hX0J+gPpT2rYn2AW/dkqv2zGqJtEo25Iy32xuQ37qchN
										YYxa1yLzG3Sxu5AZb6wro5CrpCl6wq+uNQx8Snsge1zlGD6ZjKYhpXZ24lfBhjENp2HzDfwQy0L0
										DejzevrM3PHtQX3+OHITmCFXOb9N+nD+feQvhPF+sCeaw2J5fq14ONKPgsVgGdopg3wvbEKt9dT6
										Gnk7evxzfjHXehX92yLHXVpgxqM+nMBmP7Uqh5+iqyRnSsIRpTPvGZGtUu4cMeAuNS67b87dao3s
										QDent66kbF4sLFRlVLIKVAVVVZVW9VQj699WqqP6i+pt27hJ3avuV5lqkBqqRqnJkX1xFVOXqWrq
										InWVamxbuU51Uj1UH3vVdDVWPaD6q8FqmMpVU/j3a8M6RiXYjFPdZvT6dl+7WrVWndWt6nblqpvV
										feqvaoC6Sw1XeWqqKqt0h27d2quO6V1vrKT6dU/vVEnNo5WL+T3qy21Or2FbbGDvBK5XN6gbVU91
										h9J2h++uxqmJKktlqxFqtMqnTqKqpK6wbaaqa1Qb1UVdqR5CX06VtH6orMqrmrbdhqqpvStoq9qr
										ruo21df2u466RY1XD6o71RA1Ut1j9/GwB6VUMVVFXapq2RbS1LV2p+6guqleqp/dS+qqDDVBTVID
										bRbOUWPkd7IzU0dm6gzYB2bBu2EuHJfZNztHT4Iz4Hy4DK6Cr2T2HTlAb4U74HuwAO6DX2ZmDhmm
										D8FTQs+FJWFFWAc275896E6vHewM0/vfPXSI1wP2gf3hYDgM5sKxWSP6ZnoPwGlwDlwCV8C1cLNt
										uK+3A74HC+C+7LtHDfG+hIfg9/AEPAvjQt/LHpqZ7SfBkrAcrGgLR/jVYG1YHzaGLWBr2H6otNMF
										doc94R0wC2bDEUNH9L/bHw3HwYnDRJ8PZ8A5cAFcCpfDVSPtHPlr4Xq4Fe6A78E9IwfdneV/Bg/A
										w/A4PAXPjRySOSxQMAmmwIqwJkwdObJ+g6AFbAM7w+6wF+xvmRpkwxw4Fk6E0+Asy4bBArgMroRr
										4Ub4hmVa8A7cDffC/fAgPDJyVL+RwY/wDPxNGHNhAjQjRw0bGUuB5WElWAPWgak51pOxprAlbAM7
										wm4wA8qbG9fmnpR/46jtOr9UVfj/khx+ZPv/TV/Je6/A5sWE/9iZx1koO+ry/8Xif5Da5rli/J7/
										n5Ecm73/b5b+w3SZEde2KmdOtE8Jk/4wS/1hXva/WPIPsxI91Ryd31FG8Hud+ZfUdqcqq8r9m9LF
										SK7dn6r8W8eq/PzzHz9WVzX+jaNjd9J/zX/tE8fu4P+aJf4QG9i7jRy7689Sy9Ra9YYqUAfVKcdz
										UpxqTprTxunu9HdynInOLGeZs9Z5wylwDjqnXM+t6HZ2x7j57nx3hbve3enuc4+453SSLq9r6+a6
										o+6pB+sxOl/P1yvsGpRrJYQxq7sUOe9X5HxakfPpvzv3ipQHdpnvVTHnd+dJaReeJy+9sL45c2H7
										KT0vPC+jLmy/TEqR8xpF7NsXOe9V5LzIeMrsu/C8bM0i592KnI++sP8VllxYftnGC8+r1ylyXu93
										53b9Va9fpPwBzl2bH0qHI7yiW3isGY7cszFX1uaqGpF2V3TcFx0PRscf/y/r2mnRsWV0bB8du1/Y
										i9r5F47yysYXnteLX2h/VY8LzxsUmYXU1CLnaUXOdxU5313k/Psi58cvPG9Y+ndRZoXGKUXOG19o
										37hpkfOi5R2LnHcuct7lwlls1tHSWM9kOrNVlrOAbNvP/qfsSp0l38jwS7FXlFZBcgezLbm9ecNs
										MVutJnCOOces3Y/Oj8pxTjgnlOucdk4rba4z1ynPXG+ut/umxIOr22qZL9ct7ZaxGnttbaQ/urit
										Wc+el7VPIyPUArVNfanOOSm2Dwm2VynJNyk3uX1yumWH5JstZXQlbU6uZJ8W6ttnnhbmsNJuSdun
										7zhuM/ZJyy1jz49y3Gb2KNee7bXcZvZZ7lAeEVpeVTFf2r5usaVfcdxmDtjjVnv+Ncdtv7M8GFl+
										E1keiiy/jSz/2d9O9Lcz/b2R/v6zpAslXSnp9vsSs5MevkMP36OH/yzZRcluSgoocVXMtf/ZZVbM
										lb8yKemWtF4tY72qk9sl32C9vsVsUYHt01brKfuULWtR83mh/b+mrf+AHdUD9rSEU0KNd8o7l6kJ
										/FvJE52eTi/1oJPtDFFT+PeR853hTo56yMl38tUjzjzncTXD+cn5ST3qnHHOqMecX51f1SwJDTXb
										DdxAzXGT3WQ11y3lllLz3LJuWfW4e6l7qZrvVnWrqifcWm4ttcCt73ZTC90cd5Ta7Oa5eWqLzf5j
										1Gvufe44tdWd6E5Ub7iT3cnqTXeWO0ttc+e6c9V2d5n7sdqhi9uo+U2n6TQV1611G1WoO+gOjqsX
										6oWO9nK8vzmen+lnOqn+AH+A09C/07/TSfMH+YOcRv5If6TT2B/lj3Ka+Hl+ntPU/zCY4jRLujmp
										r/ND0uRijhNPLpnc1r0n+bbkRe7zxfsXH+yeLD6++DT3nHFNgk4wlU1lXcJUNVV1SVPdVNelzBXm
										Cl3a1DK19EXmSnOlTjF1TV1dxlxlrtJlTQPTQF9s0kyaLmcam8b6EtPUNNXlTXPTXF9qWpgWuoJp
										aVrqy0wr00pXNK1Na325aWPa6EqmvWmvK5s+po+uYvqb/rqqyTJZupoZaAbq6maIGaJrmKFmqL7C
										DDfDdU0zyozStUyeydO1zT3mHn2lGW/G6zrmfnO/rmseNA/qemaKmaKvMvkmX9c3D5uHdQPziHlE
										p5pHzaO6oZllZuk0M8fM0Y3MPDNPNzbzzXzdxCwwC3RTs8gs0s3MErNENzdLzVJ9tVlmlukW5inz
										lL7GLDfLdUuzwqzQ15qVZqVuZVaZVfo6s9qs1q3Ni+ZFfb15ybyk25iXzcu6rXnVvKrbmQ1mg77B
										bDabdXvzmnlNdzCvm9d1R/OmeVN3MtvNdt3ZvGXe0jeat83buot517yru5r3zfu6m/nAfKBvMh+a
										D3W6+ch8pG82H5uPdXfziflE32I+NZ/qDPOF+UL/xRwzx3QP86P5Ud9qTpgTuqc5ZU7p28wZ87Pu
										ZYO3L/lLkbkc55xzzmaxQqfQZg/ftc8BrDOfdRawzmJuebe8SnCruFVUolvTramSJApVMb+f308l
										+/39/qq4n+VnKeMP9AeqEv4If4Qq6ef4OaqUn+vnqtKmkqmkLjJVTBW7xquZaqqMqWFqqLKmpqmp
										Lja1TW1VztQxddQlpp6pp8qb+qY+/wZKQ1XBNDKN1GWmiWmiKppmppm63FxtrlaVzDXmGlXZXGuu
										tdlK8m9V8m81c4O5QVU3vU1vVcNkmkx1hRlgBqia5k5zp6plsk22qm3uNnerK80wM0zVMTkmR9U1
										uSZX1TOjzWh1lRlnxqn6ZoKZoBqYiWaiSjWTzWTV0Ew1U1WamWamqUZmupmuGpuZZqZqYh4zj6mm
										ZraZrZqZuWauam4eN4+rq80T5gmbrxeaheoas9gsVi3N38zf1LXmSfOkamX+bv6urjNPm6dVa/OM
										eUZdb541z6o25jnznGprXjAvqHZmjVmjbjBrzVrV3qwz61QH84p5RXU068161clsMptUZ/LfjeS/
										LjZ3vqG62ty5TXUzO2z2vMnstNk23bxjs+3N5j2bbbubXTbL3mJ22yybYQpslv2L2WP3jB5mr90z
										bjX77J7R0+w3+9Vt/PsjvcwP5gfV2/xkflJ9zElzUt1uTpvTvPcKn68clUaurWVjy3d6O72teoAz
										QDney97Lyg3OB+eVTmiZ0NLm4f9G33+j7z8dfeWJvtpyt+UMCj79b4z9N8b+QzHm+IPt/XxJp4qb
										ptt5PVQF1Vy1Vh1VuuppnxcG2/v3MfbOMl89quarpWqFWqPWq61qp9qt9qkD6og6Ye/slRM4yYmj
										lU4cmZiTeA/HUYljOOYm3ssxL/E+e8yx0jiOOYnjOY5KnMAxN/F+jnmJf7XHUdZuIsecxAc5jkqc
										xDE3cTLHvMSp9phr7fI55iQ+xHFU4jSOuYkPc8xLfMQe86zdDI45iTM5jkp8lGNu4mMc8xLHKteW
										PmA5KnGKZW7idMu8P+GR2Yx8ZOKcyDNzI8/MizzzeOSZ+ZFnnog8siDyyMLII4sjjyyJPPK3yCNL
										I488GXnk75FHnoo88nTkkeWRR56JPPJs5JGVkUeeizyyKvLI85FHZtnxj0xchEeW4ZEVf9IjqyOP
										rIk88mLkkbWRR16KPPJy5JFXolh5NfLM+sgzGyLPbIw8synyzObII/+IPPJa5JGtkUdejzzyRuSR
										NyOPbI88siPyyFuRR3ZGHnk78sgLeGQdkbIFj2z7kx55N/LIe5FH3o88sivyyAeRRz6MPFIQeeSj
										yCN7Io98HHnkk8gj+yKPfBrFymeRZz6PPLM/8swXkWe+jDzzVeSRryOPHIw88k3kkUORR76NPPIO
										HtmNR/YSKQf+pEe+izxyJPLI0cgj30ceORZ55IfIIz9GHvkp8siJyCMnI4+cjjxyJvLIz5FHzkYe
										+SXyyK+RR36LPHI+8kg8ipXC0DNJKvRMkhN6JskNPZOkI88cxiPH8cgpPHJOIkX+DWDpN2/Teqha
										zm53se6su+osfacerO/SI/Uonafv0ffpKXqqztcP6Wn6YfsUfEB/rQ/qb/Qh/a0+rL/TR/RR/b0+
										po/rH/SP+id9Qp/Up/Tp4o3l3+hzdjm77AUWyd/m6066k3J1F91Fad1fD1CeHqgHqUCP0CNUgs7R
										OSpR5+pceycwWo9WxfRYPVYl63H6r6q4fkI/oS7S6/W7KqV4o+KNeMtQXiV5Fb3LvUpeZa+K9z/s
										fQdYFcnWbVV196lDd58mRwETZoEDKOaAKGYMKOaAgIqCKKKOjhEVw5jGiIIIKooO5oBZEcecA4iI
										OQfMEhR4uwt0cMa5d+59b+59733/Vx9V1eHU6V27aq21q5s+FXkHvhJfma+iWgZX9IGtrhfrFduS
										tYka6jH4TPHaNeaCv55RteSMmuraFBcMRxBvxqvv8a3KV0VSqc8Vf68Zb85b8Ja8FW/N2/BleFs4
										97fvJcgBGfImvCkv8Bqe8lregBd5iZd5Ha/whrwRr6538WDbJLhI9TOEb8Q3RjLvwXsgBY65Iytu
										HZfIJXFbuGPcr9xx7gR3kjvFnebOcGe5c9/rcXW1jEvgEqDF9Zz6vNUv3C/Q35s5wFHouVT4vnvc
										86+tJ8BZv8DRfdx+7gB3kDvEHeaOcCncUS71ez5mra/j1kHriZz6tpAkLgla38IBOsMVnoPWVTvU
										1p2Q2Xdb/Y4drM/ulfSZ+rm/OLrY59TRAJ8ThpGdaCqahqajSDQDzUSzYF7/hOawX66ejxagn2GW
										L0KL0RK0FC1DUWg5zPloFINWoli0CsWheECANWgtSkDr0HqUiDYAHvyCktAmtBltQVvRNkCHHWgn
										2oV2o2S0B+0FrNiPDqCD6BA6jI6gFECOVHQM/YqOoxPoJDoFOHIGnUXn0Hl0AV1ElwBVrqCr6BpK
										Q+noOsoAjMlEN1EWuoVuozvoLiDOffQAPUSP0GP0BD0F/HmOXqCXKBu9Qq/RG0Cjd+g9+oA+ohyU
										i/JQPvqEPqMCVIiKYBhj0ol0Jj6kC+lKfEk30p30ID1JL9Kb9CF9ST/Sn/iRAcSfBJBAMpAMIoNJ
										EBlChpJgEkKGkVAynIwgceQ6ySA3SCa5SbLILXKb3CF3yT1ynzwgD8kj8pg8IU/JM/KcvOBE8pJk
										cxJ5RV6TN+QteUfekw/kI8khuSSP5JNP5DMpIIWkCCBI/V8MjuM5gdNwlNNyBlwnrjPnw3XhenN9
										uP6cHxfCjeCmcdO5SG4Gt4hbzsVwW7lt3A5uJ7eH28ud5y5wF7lL3GXuCneVu8alcencdS6Du8Fl
										cje5LO4Wd5u7w93lG/AN1d8E56/y1/g0Pp2/zmfwN/hM/iafxd/ib/N3+Lv8Pf4+/4B/yD/iH/NP
										+Kf8M/45/4J/yWfzr/jX/Bv+Lf+Of89/4D/yOXwun8fn85/4z3wBX8gXCTrBhHrQZtSTNqctqBdt
										SVvR1rQNbUvb0fbUm3agHWkn2pn60C60K/Wl3Wh32oP2pL1ob9qH9qX9aH/qRwdQf0iBkAZBCqJD
										6FAaTEPoMBpKh9MRNIyOpOF0FB1Nx9Af6Fg6DtJ4OoFOpJPoZDqFRtCpdBqdTiPpDDqTzqKz6U90
										Dp1L59H5dAH9mS6ki+hiuoQupctoFF1OV9BoGkNX0li6isbReLqarqFr6S80iW6im+kWupVuo9vp
										DrqT7qK71d8Vp3vpPrqfHqAH6SF6mB6hKfQoTaXH6K/0OD1BT9JT9DQ9Q8/Sc/Q8vUAv0kv0Mr1C
										r9JrNI2m0+s0g96gmfQmzaK36G16h96l9+h9+oA+pI/oY/qEPqXP6HP6gr6k2fQVfU3f0Lc0l+bR
										fPqJfqYFtJAWaZEW0wS6jq6niXQD3Ujf0ff0A/1Ic8QfxLHiOPFHcbw4QZwoThIni1PECHGqOE2c
										LkZKP0rjpQnSRGmSNFmaIkVIU6VpUqQ0Q5opzZJmSz9Jc6S50jxpvrRAWiFFSzHSSilWWiXFSfHS
										ammNtFZKkNZJ66VEaYO0UfpF2iRtlrZIW6Vt0nZph7RT2iUdlo5IKdJRKVU6Jv0qHZdOS2ekc9J5
										6YJ0UbokXZauSFela1KadF26K92XHkqPpafSc+mV9EZ6J72XPkgfpRwpV8qT8qVP0mepUCqSkYxl
										InMyLwuyRr4vP5Afyo/kx/IT+an8TH4uv5BfytnyK/m1/EZ+K7+T38sf5I9yjpwr58n58if5s1wg
										F8pFOqTDOqLjdLxO0Gl0VKfVGehEnaSTdTqdojPUGemMdSY6U52ZzlxnobPUWemsdTa6MjpbnZ3O
										XldWV05XXldBV1HnoKukq6yL1sXoVupidat0cbp43WrdGt1aXYJunW69LpHdfWZr+2yNfRJZRQBB
										2cp5PNcG+P0a1x74PZ3ryfVCGVxfrh/KZGyaxQ3nhqNbwHhT0G1uIbcQ3eeiuCj0gDH7Q8Zbjxhv
										PWa89YTx1lNuN5eMnjGGeMHX4+tjxFbgiSAKItYLRoIRdmFr7K6au5pH+AnV01o4m623vxNniNGE
										iAniYWIpnhJziStbdR/A1tvXAdu/RQbIClUAzvcGBbQCGOAQoDN8hTQdEeUUqyWxmnqPxghZIFvp
										BGynSychz5BOQZ4pnf16bjrUUpAW9IQVsgcFUL347pGUoe6XMiE/I2VBfk66DfkF6aX6ScVcbVGx
										UFtULNUWWVsFrNUv92gMYOtXRYT8hCJ9c8SQHTFiR4y/OWLFjlizIzbsCEEG4DU9+K4uUZ8zb0Aa
										IEK8iBfiSGvSGvGkA+mABHGRuAhpxGQxGVHxtfga2iNCIrn0N3Hstwz7/ze//mcYVuXQv8qbfydn
										mtAAOpAOpj8CA6nM2QI4sx1js07ATPMYT3YHjlTZsZgbA/8iK47/J3z4RzZcDjz4GwOWZpf/29jw
										K9sBL0YBf5dmRQ9QH6r2KFYequ7oCMojr0R3fALV0QMURyzTHKtAceTDqPWFkdpPHZdfuJOEfMub
										spFsLJvIprKZbC5byJaylWwt28hlZFvZTraXy8rl5PJyBbmi7CBXkivLVeSqcjW5+nfZdvr3+VYx
										UERF+kusm/RH3lUMFSPF+A/se0I6KZ1iHHz2uyycDjycIWVKWdLtL3ysWCiWjJNf/ikrF/yRlxUr
										xVqx+bfY+Rtulgv+A+zsjQk2h1DWBldFZrgj7oIqsnvuVXFfHIhq4EF4EHLDQTgI1cJDcQiqjUPx
										OFQXj8dLUHO8Aq9EffEufAENIGEkHE0go8kENJlMIlPQTDKVzEA/kVlkLlpA5pOFaAm7e76cLCWA
										9izGj+VkzgSt4sw4M7SOs+Cqo/VcTc4ZHeBcuOboCGP8q4zxr7HoLY1fzV9AzwRjwRhbCR+Fj9ha
										yBVysY2QL+TjMhroLmyrmaWZi+008zWLcAXNEk0UrqJZoVmJa2hWaTZiZ02SZiduoNmtOY6ba05q
										LuKumjRNGu6rydBk4n6aLM1tPAC0QQEO1BSBNoig7rQB3kMb0Sb4kLaatjpO0dbUOuNUrYvWBZ/Q
										umvd8UltPW09fEq9f4ZPa5tqm+Iz2mbaZvis1kvrhc9pW2tb4/Padtp2+IK2i7YLvqjtpu2GL2l7
										anviy9p+Wn98RRukDcLXDSDsxxniANEf3xADxcH4pjhEDMd3xNHiaPwceDYavwCePYw/AM/m4kKJ
										SL0IlfpI44ifvEq+Rybp5upWkNTi51sgGt3M7rj0wQNL9uwutQej+khToj0qg6apBccTIKn5ZlAF
										CaxUtw6WbB2ErSxI6lM2NXANGDVOWP0VxLq4LrTZErcEcmmL2yIeR+Eo9pTNSeQn2AhlBFvBTrAX
										ygrlhPJCBaGi4CBUEioLVYSqQjWhulBDqCk4Ck6Cs6AXXARXwQ1fwVfxNZyG0/F1nIFv4Ex8E2fh
										W/g2voPv4nv4Pn6AH+JH+DF+gp/iZ/g5fsFzPM995HK4XC6Py+c+cZ+5Aq6QK/rf2ceDKTxhKw08
										+28FY7b2YwWJQ7aQeOi5KmBpTaQ+l+YMSQu9Wh90YkNIImoMSULNUQsko7aQFNQNkiHqgXqCPuwL
										yQQFQDJFgyGZoZEoHJmjsWgcskSTIFnD7CTIBhtiI1QG5qgNssP22B7Zs6djysJ87YjKwXzticqz
										u7oV2EytiINxMHJgz8tUwqPwaFQZT8ATYE7PwrNQNfwTnoOq4wV4AaoJM3gFcoQZvAs54SM4BTnj
										4/gEcsFn8VnkxtabarGZ5840dRu26tSXrTr1/7oWdqxkLcwResqOuBAXUIzu6vshSXPSHBRjG9IG
										FGNn0hkUYzfSDQmgewKRBhTPUFCMM8XZSCvOERcgSVwnrkdG4gYxCZmIaWI6shAzxJvISrwt3gct
										PV6aiMoDe0xDDiozoGrADPGohorjyBlwPA25AHpnodqA4LeRO2D4fVQHcPwhqgux1WNUD7D8KaoP
										eP4cNQBMf6n+tyhcXwPS+6stp0tscQJb7L+xpR6pB+eqFnGkI8QyPLNIYBZpQN/1RJTZpQX1NgIZ
										MLtEZpeO2WXC7DITN4tbwaLt4m5UhtlYjtlYQXwsPkWVxefiK7BLtdSJWerCLHVnltYF/kuA+GA9
										RBlNmNUtmNUtgZc+orbASgUQmagWtSZDSu6+toP5GcAsclZtxJ3ZvEdf9yC2lknwYNz06z6Cu+Ca
										sGX29TyYAd/pi4akIfSF2iM887HA+kXD+oWyftGyfjEA3dsHiax3JOZ1mfWRTuwh9kAKROYTkSFE
										XwvB94vFaGQLMdhu5CDuEQ8jd4jEXqHG4hsxFwWChpiBQkAtLEDjQB0koQjg/l1oCXB9BlrJfL+H
										+X4vMPhdtI+NgP1sBBxgI+AgGwGH2Ag4zEbAEWD2VygF2P0NOgoMX4BSgc816DxoHCuUBrqmPLoF
										WqY6egSqRELZoC6M0RvgeBuIAAAJIUIagZAaQaJm6ioD6qQ+t4V8pB/lFug8fMYOL2dPOXK/eQSx
										/4qEaE8ddR1LeUT/m0dQF/U/kUv2EdSU3T03+3oeQZwYI66Fbz4inoTRliep4xf2sji7+HrKsyvR
										l3w7gW+x+XeQFT5pznAIMRzCDIc4hkM8wyGB4ZCG4RBlOKRlOGTAcEhkOCQxHJIZDikMhwwZDhkx
										HDJhOGTKcMiM4ZA5wyFLhkPqGzOOggUyacXtg574Z/dhCBaxCVxlBVwdu+L6uBlugzvD1Q3AQ/Bw
										PBq0SwSeiefhxfCtcXgdTsLb8R58CB/Dp/FF6Jub0A9PcDZ+j/MB/DVEJibEitgTB1IdetcdVwfr
										q0JfOLKyJ7CfWvbB9VjZF9dnZT/cgJX9cUNW+uFGrByAG7PSHzdhZQDMPLUMxB6sHIibszIIe7Ey
										GBhVLUNxB1auECzVkt8tWLEyWbBWS+WTVlJLwVQrq6VmrVbHyoNahZWHtIasLNAasbJQa8zKIq2J
										WoJ6MWVlE0PMvmcIrgZIYAg8T2CrJuQ9ge1V7QB4AFbCGAQbXSDvj10h98NukA/AoCPAttqQB2B3
										yANxHcgH4mbqsx/YE/KhuAXkwaAXCFjVCvLhuDXkI3AbyMNwO8hX4PaQx2BvyKMFM0TAXnPIkwV1
										5eOTFhwDlsKoBjt5yA9qQW+AjRr1aSYthbxQq4W8SGuACNgG6kfbBFWDWdUb+DYYeHY8Uv//fjGK
										QWtREtqJDgCPnUVX0U2I/F/A3C65nwcjyQrGugOMJT12xw1hNLXC3oCQPcHugWDFRuitFdBDv7Cy
										D05iZV+8iZX98GZW9sdbWDkAb2WlP97GSj+8nZUBeAcrA/FOVg7U2qkl2GivlmBlWVYe1JZj5SFt
										eVYWaCuwslBbkZVFWge1BIsrsbIJjmX+W8U8F8c8F888t5p5bg3z2VrmswTmxXXMc+uZ5xKZ5zao
										/tCasR43Zz1uwXrckvW4Fetxa9bjNqzHy7Aet2U9jhFviNhT3RzDCsRmOjZU/0VDfY+3N3umvipy
										BS4uWYnCFmysWbIxYqV+t9oKtv5aG6yOJBV7AU+WsrHCcvUOGTYChELYHKu/Qq8iEWH4onKaFZqF
										u+JuuAfujn3xYLE7sE/P4nVhMopMJDPJEm4Ft4HbrnxWCpRCpQjwdaUYK64S48R4cbW4RlwLWJsi
										HhVTxWPir+Jx8YR4UslRiMIpvCIoGoUqWjFPzBc/iZ/FArFQLJIA9qSfpYXSImmxtERaKi2ToqTl
										0m4pWdoj7ZX2SfulA9JB6ZB0Q7op3ZLuSPekB9Ij6Yn0THohZUuvpbcylbWygSzKkizLOlmRDeUa
										ck3ZUXaSnWW97CK7ym5yLbm27C7XkevK9eT6cgO5odxIbiw3kZvKHnIz2VNuLrdQZEWnKIqJYqqY
										KblKnpKvlFFsFfUeZGUW9SEW6QmgHNoCpw0hwcDa4RDRyWQCRHQ69vSzwuI3QxaVGbG1V2NuG7cN
										mWi2aLYiU02yJhmZa3I0OaDbIFZBlmqsAvrmlvgQVVMjFlAzM4G760PMvgt5QrSdgdpBxJ2J2jPu
										9mbc3YFxd0fG3Z0Yd3dm3O3DuLsL4+6ujLt9GXd3Y9zdXSoE1u4hGwFTD2BMPYEx9WTFHJh6Kti5
										D/X8Kx799zz4t/jpi4dE1puI9aYB60cT1o9lWD86MMsdmeXuzPJOzPIuTKN0K478BFHQsVnYBqnr
										us2Qfenx//tR/OfjsXjsQAvGbKQgNlI45mEN86fC/GnI/GnE/GnM/GnC/GnK/GnG/GnO/GnB/GnJ
										/GnF/GnN/GkDfrNEZUquXhKUUlevgN4smbHqnGfjFLFxitk4JWycciWflQXDUp+1AlXyFQW+zHSG
										HGwWsJEssJFM2UjWFkex+A3+iD+VqAFjYkHKkIqkGtda8BcChUFCkDBSGCWMUcorFZVKShWlmlJD
										cVScFRelluKu1FXqKw2VxkpTpZnSXGml9FUClIHKYCVECVVGKKOUMcpYZZIyRZmuzFRmK3OV+cpC
										ZbGyVIlSVigxSqwSp6xW1irrlERlo5KkbFa2KTuUXUqyslfZrxxSUpRU5VflhHJKOaOcUy4ol5Qr
										yjUlXclQMpXbykvltfJWea98/J9nLv/nmcv/Q89cEmQEmn+gYKp8As5v8peeKYeZiIdobpZ6Alir
										PitT8lTNP3xG5utzNNAGaUT6fo3Zi/e0BQT6EvMS/F79tQhSm9SFMzxhXwfSifiSHqQ3CQCsGg6o
										N0G9p/W9pN7HKp2glW9T3T8m9a5X6aTeI/tu8vxd8lLvoH2TOvwxqXfTSiew5U8S8ME3CWz+NvX4
										XgL++CZBL32b+rL023bA79IgSEP+JA3/XpIKv03AWt8m69+lCt+mEvuKr5e18D9rE3+yNoHRLeDP
										hsD1rUBld2HvQfny9hP1TSiz0QK0FKKf1SgRbYb4Zx86go5DBHQZXYf+07N7vf9qXvffyjv8O/l3
										1z+KV0dkKJaqcQ/yUGMB4DoLFj2o9zgwrgZxNAG2V99PuBQvg3oUVt9vGQuRF8G78Cuov8ZvIF55
										C2iCgS0/Qj0H5zHO/AT1z7gQ6kVE/f0hQnj1fYlEA3XKfsFHIhB/Ex0xZP8JCTE2MSHq2+HMiQXU
										LYn6zjEbUgbqtqQ81CsQiNyIA6kC9aqkGtSrs18LqkFqQL0mqQl1R+IIdSeivissmkRDPYbEQH0l
										WQn1WK4le5dva8RxbQRT9Y2pAtgr2Ki/nyV4CS0RJ7QS/KA+QAiC+hD1l+iBq8dA/QdhGtSnC9Oh
										HikcUd99LaRA/agWkFlLIIok2soGQxE2CDYApWcQotuAsG6jDqJe3S+6FKgf1f0K9eOgVLFiDzqD
										AzVZxCI8QGVDYlip+H+cmWcIGlDyn7m/aRDMNAhmGgSX+g9SzDQIZhoEMw2CmQbBTINgpkEw0yCY
										aRDMNAhmGgQzDYKZBim+QsKUCGZKBDMlgpkSwUyJYKZEMFMimCkRzJQIZkoEMyWCmRLBTIlgpkQw
										UyKYKRHMlAhmSgQzJYKZEsFMiWCmRDBTIpgpEcyUCGZKBDMlgpkSwUyJYKZEMFMimCkRzJQIZkoE
										MyWCmRLBTIlgpkQwUyKYKRHMlAhmSgQzJYKZEsFMiWCmRDBTIpgpEcyUCGZKBDMlgpkSwUyJYKZE
										MFMimCkRzJQIZkoEMyWCmRLBTIlgpkQwUyKYKRHMlAhmSgQzJYKZEsFMiWCmRDBTIpgpEcyUCGZK
										BDMlgpkSwUyJYKZEvrwf5OvbQmz6QmnG9iIbX32ETWeNQfXIVpE5OkxJXISNJ+xqQjB2kfQGGqGG
										whEbAen9NGINDeZxRB2C+TgffSd9zVJ7bFfbT7Zlt3Maog5oABqJQgFEA1E4/Km3dxrry5dqjDc7
										vNY9z6s/cY1dfCnHr/Cz4LPI9FJchLmjPoKP00dwM+M4ggkR/azPLmKXPVCv+3qRWIDLGcuujuvK
										a0xJVx8XU72xuqE1Fbv5jRwcNGxQeOgwFyO9ou6kprRzYEBI6LAAF3u9rbpHNDVvH+QfFjoydGB4
										Oc/QsOGhYX7hQfCJivry6nHO1Kb08YDAcj5Bg4ZBq+U6enro7S11Li4uehe9q97N1bV2T9h007t8
										3dRPmfq3XJtOL6nHJVO+fYeOnb+czv3J6foIXKF0n2EBcREAN7BfJBEYo+xehyYYO9yP1NwZWNRq
										l+VB8mCn7Po6rPEEpxnp3vHb1ns65wTGutx1dWmxOT3FYVr5dKdd0ybm177iY5u+u5N9h/MD9z5P
										lklBtd6bEmd8PF1h57XD2lEfZg+f75/+arb90/meDgE9r8yYsCCkQdLoc93cJzw5YOSbFPV6Vh+n
										gONbKhv0tfc3f9PosMX85TNJqj45Repf1jDsbFpyYm2TyOh4SXy0qNe8/C4xKe+s+zWba7LKrsmC
										5CqmU61dI+zeZcy4Wn57w9W7aYd0h43Zcz/syMjPq9dh/dO3W3p0fn/TI9rZeLh/1rNbG9+ElOeN
										fNz2b+/w612f7R6BLYfV+XjgabSFx89DnXrpUwkHE2JNBLaDHrHWm0Jf2lXiZb2o0cKgFgTKcXo7
										dacCYtusTGflnXH15COzUo2nNLq6tPveNT7DmAPtDAGYeR5YbbK+rLpdkbfSW0w2O2P85PTlnRbd
										8ak6Tm4WFnvbrRDL6n3VE8ryHfTt9W3jWse1jGwxODx8eH1nZ/+wYKeQL1508g8NcR4+NEjd6zw8
										LDRglH/4SGdwMgxEGIYwAvvp6zq6uTi6whB0gpP0Pb9cM8a8t76dvs2XbT2JbFzyFWPGjPneVwSG
										/cO2w3837Th15CT0cg/e5B0dZHI/dDaJDhqTGhwQVnVmRqMWITWtfrxa1dn0Xo8hZY5KtZJnFzzb
										u/gFdXk05P0o/sr6G33ra2KNCjboDsZ08gwtGrQ45u6F8a8dttY+O7VP9o0joe6tj/QUu30ceTf2
										3X1tuwaNnc9ePpfdocLwHL4sWdc2es/83jMV98XBbnTPhk2d4i4evTmvgsnB1NsR6b7xOVmvE8p1
										MzJamZ0UGR48Ijrl9dujw/uuzwxpX6f78vZjm16s1adnpc2Dnpfx9tJsnVOt7Bqj+Qluqypey93l
										NeFOtn/UgraNhUTnrVY7eqzd4uEzTysYOVY/VV/TztZpg0sn34CkFWeTlkVVm71swYxnK3cDRu0D
										jFr9BaMEU/diLP09Ro35W3CgPBtoMPGtfjveJSgk0NEn3C9k+G8Ipa/jWttVX8vVpY6KUK6AT182
										9VN2/CcQqoq+UvGm/TDPoOGDA8PKNfdpUa6Fj3d9l9r1PB093LzqOLrWrqN3qaSvWGyR7Xct8gkM
										Gx3kH/hPES2mVpT1KYNq/suJxajEmd0mxO/f4GHyOeDnhDThh8Njbr54tHlPR+8j920OvkwuyC03
										e0S9jWELw1bNNnho+upnj5d+lYZ22pSd6LnLr1nNlW/ttl3+nPzhxzUjR5vuqLEmc7Hf5K7xhiFZ
										119YFE2ftDR25iTkNG+cw77BK+cfP/1+wdhxd6NfafpMzHVKHWIe09DM+fG1xScrlOl0ZkPXyPLJ
										Pd95mNRb9brrBu+NlWr4f/o5rKHh+CNLw26mrEnRnr7166ldR8R+CTHSxjCxj9h0glPUxV+2z5wf
										OfnJhEuHug69073mSfcmeY+MU197CtN/4Cwf1lxfbfyVe0ssUXDmzU0NreuTOxMGXD3/0a7RF0Qz
										gB4RSoHXx6k/lZthnD31TOat6asvD46s4xe+4BuwqlgrN6Oz13DxZdNPoz/tqLE1tfYOQ32XYrAC
										qNIDVMW1iPT8l8Cq+LDqReZEGJUMqrqXgioAKn2rUlDV8K9B1XdbDv8egmu/h14D3gu6Do/LDI14
										3Fm+PXZOYtcpbsuurD19qnBLq8wfb4SOq9rhxMXkWdcvrVt+9mdf1KDuk2RX5+y8C0Mzom6lkQ/N
										unceOu9G05sWcTuuHq5sfqZVs7NXCnbmP2g+a6BhM6VvDr+qYqteO2d5HLsRnOv+vslRe/PbUe3Q
										se0vbvXD2DNmT7O0CicXrYg9lWA16HPLafY/94l+Ozpn27wwu8mjG7obe52eWL/Vuy33W3+0dJu7
										H/lHxHRb47s+ddiCNY2XJH8OuNTH6qiEO/qv//zu0uTYafdda2V1W9J0TcjEG8+demp3Gmn6up4y
										eOoaMcJiff7xLQOjZuVlxO7qZ1RxzZjJb9unVUVhHacfeKiPEA4Aeq39gl5ulW0Yern8Hr36MVgQ
										DRZWnrXobc0AbG3BgS9crPWW3+w0+OoqF0d9jeJ57PDbPO4cGgogAb4LGhjk7xceWM5jVPjg0LCg
										8LEMpfT6um4urq4u9dxcAaVcSzZd1c3/psT7Z1CzPaxHb2t9wGG7Ff3LlWu2fLRPcOMyaaFnz7x5
										NrRwmYXRndv1w6faJDvHub4ounW0mXfFa2Eos3Y3cdbpzeVav389OKl927kJB8e2HRHdkt4oqHR7
										5aiZFzaObD4pfUrmu4Nv3dee6t3i5pZNje5UHbzMZn1C2EjfN5aLHxTUXhwWlza6n/2YFlOn17W4
										OLKXsG9Q57kJ24Ocb1hLhQvDq90b7dwly0zfI/fy3AEFZ07183LpuLeK6YOm+gth1YyqVjhRx7tR
										nGujBefi62qm9/b2jahaXXBNbpvewf/xZccBb1o0epykRR+94mMv9ZpT2efJuI1t3npdqNOwbuzO
										Mb0TLGPnnjGe79swJcmgH3flC9T0hR7pqTdUp56pKoQEPQdFKez5rg6SmHBSVROO1JtoDEqiCHPM
										C6xhoIOv+4jaSsElF+8rlWcvuRvVv0GiS+i6hgeuO+qtv55kRnjZXkQ+aBREHp7I4xtwU5Ii+jf1
										rbLsYSXTz9Xvij5LejxYq+9YDG6t9S31LeI84zwim/x1cPt6OAyGtopKDNi6lAK2VnovffNSwFb3
										XwE2dcJ4Frf6R/VFMOpRr/Gkyl5bnoc23ea6a8hzxXlYYuuc5/1GvWzXwDHdc5NUeOapo8uaimfH
										d4yaXL5PUiPndvtWJ/rG3B++f8/O3LG7WoflNH7mMen0Xdky6ExCTDnHfKnjMd9zjvfbXD4w/HGi
										bjWX4Htnz+y23d4uaRbz5t2r7PuRZWs13OO74rVPxenV10bYLrq3mNq9veedOyf+9BPThJ+9T5a5
										PD9sSfURIdE2ubavfdIGna1Q1Nvu3Oo5B6tsH+vv23x1p3N5T9d0982KJi2aO/d7f2Pz1QjXYZ/X
										LjF98Dzo8YbVNQ+drGGkBM5bnvlhdb5JZYPAuovfjCvbZv+lu75PLv6w1Kr3qdoW/bIW2bWe53ho
										U63mttlG5jaoT1btXuXPR50wyJ6uzOkQoph6NxpfrVVM2KV3wadTXgxf021htwmL58aVacX1zLmw
										ZpAYnuD+0tHZ8uSjsDom70O3NRwUkdd5+1w3i0B7ZXaW0a2A96Hnva5esXw69hi/88qnmrfLzo5N
										Ej+ZVmm66UHe3Q2TvPbT/i0D+zf13trshffLHaPHXhdrGYTYTnYpe0/pkvUw/tPDlkabAqKKOlo4
										jT8slB93b4lHlaDURfOXnJp7Pbr8Zl3vmNerN0cOnioPcdw/eiiyW7rprcWPHy2mOuydeWFIYksX
										5xU3749olI4mDmh56fzMU3us8pWwuSlrGm0hTYcUBUUvvWeUaLSzTkdtWmojfYSGAn6/+oLfFoNr
										Mfy2/W/gt76OvpYeELu2m76eit8ubNNNr27+9+TvP0PvVfHB225ntlpYffxQJ+u7B+/d/3V5p4od
										N53PsvJ2MMy+tP5Su03h+nLGz+m1LkvMWy8u02zh5qje+so30NAnPx58MYsa5ig8hLJny55xc5ix
										8u37QbY1P//4eKbds8fea+JTKvqcnpvf4oLBxb5bLm5txq/OWxe8aFB61ZtePlsjLz6s6uVUJSmy
										Q9fO8gOu5qchCxboh81410O/Mn9i2rIdT8ovm5h72fSdNtknpPPOFgtWtUJtWg40rlJtYOKyB1c0
										U9qszpu23rilmUHEqmkvu/5QiFfYddROR0Z6r5fJtyp67T/m2GXVFvsfPFzGnI2+3WDqong/sstO
										t+1zTvR2fL5C2y5FeULq0XLSF/T+BXpk/T9C7+8Kw2/Q26g0equ/Qq+fElUMvlMW6KfM/T78xvuv
										9fvbh2eE0dhNFvFt4hI2tRvZ/T01dQr8fwb1/5KUhb42WjY7tTfX3D3r6c5NYzLPj+3UHm9zCh/R
										638tl0d49bl91f079K4ILerJTdoRznTaT0E4YObdKodH4bvXR8ySeSjL2LZmd8Wn7gtvrBnfPdrX
										z8V6otfj0Ydg0bv+qyc9ed6bdbXh4LMpn9j0W5lfTtRSUSr4/e3Pk4qZerzf2R8V7JHwm9uXzVU0
										dcdCyznpukcD+V4lxdiLzehWsH/ELmX084yhV5mhrXYR94lXBbb/W7mE7x/iSuz7cH2H+Gu/7vqj
										ptpxi/e/3lPL7VR9JbhI8Z3Bqd0VqTHRjOJcInyXbonM+GqzMy1is67+85+tbWcCw17MLZiSs8bS
										58q3yv2rJKqSNN8vmq1pwlYulXTSVi5XvukD93Gd3eedNz/9+aZ26+MlK0pMd/gdLVQWUivjtgnq
										KYxycxbZs3nzBt/0E/Od/jdUKjbMEzVIe+EkFCd1Yp6S4gXnl9ovd3/xOKNz5YZRg4+alodKfNSr
										sPfL7s2ce8oqf2+jegmb4Lsyxf2zmw6qh2zbmGXbubAscUveQuFl+1e5fxDK/9tllLPp3/3AEz3K
										J9P2zpVtF0phstVdH9m/44ni060bTiVvqQhhveKoF7BmyoalFas3L5hWKnVzUrtwqZK+0QqOvAXR
										Par7F7xvOaV47bWc/8lZ7zwffGdMze/krj2ReeJZ3qvl088Zav7nOxodc8NXeuGNX/rz7PVCxbJP
										Ci/+a9jEMt2giWUyEyOjQWP7ALaXUQZqEcO8CxqPgFpp0GTLyWzIgzyGDLQXweM25DNAlhUFtQFh
										GlkMgWXRKg/VT6ybO/9N47TtWGHwougHw/PnBilIWngMwwxCFmg1aDD4MmQyJDMUMeSDh6HTGEoY
										FBhCGCoZCoC8dKB4IpCVwVC5UK1BBWceLaksyE8vSizIqFRAq0tYmhgZqh+tVtrwNcSg8Lz1nRM7
										Xm/fer/4VWKCx44bb7ayru5oi50tnrlG9/4FvbqJVYLvv0/Yr3X/wvJ9HWaL/kXzCH9c2j7Z56Nw
										ipjopR/9yxYGP9OwDnDn8jrztjprxrVig64dFzTd0mdsfjqh+3Egh43y2wX2X9uF48STNk0/w2ou
										dnzGtumCAt/vHeTtmC26YeHpPWf7/dM4FDWFfu2wPfw3e1pE2YVDcgoW67ZNSv4oMqPVWWb6jnnG
										R/xNuz+KLjmf0Z0b/O2Odcyew8YmwVe+X5qw/psF0+Z8M/9jGsd9FTNvzu36Nd3T08SDu+vmeqO9
										BTG+k18s/ti59+LSa1fvZQj8VoqUDniVf0dX9uvCJiZZgyYmpMhlM2xi4gIKsYETY+uAVf4o43Hs
										0KS4INZAAjkdciMmPBiBNsJlWA35QUNlBqaG5sA+qZkxsBGDngydVOXvzst+3nDD9VNX889Dy869
										L1VAK5tBCSRKRcpg3c/iFt+Ssj1r6yRm/TnJ+mbZy2irt941OxMf572/V3tq7sIFUmcVxbc31stc
										DzZM9rPb+Fvkm0Vj15YLEz6f1NjQzsH6r8Xmx5/7mlknE6purv/FW952Q+vM4j+Xnm01Mr5yTUXq
										fR7Tabc0jsMVXS2WHlnv357nN2aadvD++oJb3ua2YhzBdjvCW7pWPTaocvKSdrpRcdjm97yZoZMW
										rVkZNnmmzv0Qt2tzJ8UwrTRYsSX5W2PW6YV9Ng4l4u8enXlxcXnzlo/62yyn7Io413dm4hSWo4Vf
										V17umhA3yzDjjnDmZpVuudxYn+JUr2qJinWqR8OObnZ3nnz5jV5bXqkvzwapmesrNHIYGAAuo3yX
										DQplbmRzdHJlYW0NCmVuZG9iag0KMjIgMCBvYmoNCjw8L1R5cGUvTWV0YWRhdGEvU3VidHlwZS9Y
										TUwvTGVuZ3RoIDE0NjM+Pg0Kc3RyZWFtDQo8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBN
										cENlaGlIenJlU3pOVGN6a2M5ZCI/Pjx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8i
										IHg6eG1wdGs9IjMuMS03MDEiPgo8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3Jn
										LzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgo8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0i
										IiAgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIj4KPC9yZGY6RGVzY3Jp
										cHRpb24+CjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiICB4bWxuczp4bXBSaWdodHM9Imh0
										dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9yaWdodHMvIj4KPHhtcFJpZ2h0czpNYXJrZWQ+VHJ1
										ZTwveG1wUmlnaHRzOk1hcmtlZD48L3JkZjpEZXNjcmlwdGlvbj4KICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAK
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgIAo8L3JkZjpSREY+PC94OnhtcG1ldGE+PD94cGFja2V0IGVu
										ZD0idyI/Pg0KZW5kc3RyZWFtDQplbmRvYmoNCjIzIDAgb2JqDQpbIDBbIDUwN10gIDNbIDIyNl0g
										IDE3WyA1NjFdICA2MlsgNDIzXSAgMjU4WyA0OTRdICAyNzFbIDUzN10gIDI4MlsgNTM3XSAgMjg2
										WyA1MDNdICAyOTZbIDMxNl0gIDM0OVsgMjQ2XSAgMzY3WyAyNDZdICAzNzRbIDUzN10gIDM4MVsg
										NTM4XSAgMzkzWyA1MzddICAzOTZbIDM1NV0gIDQwMFsgMzk5XSAgNDM3WyA1MzddICA4NTdbIDcx
										MV0gXSANCmVuZG9iag0KMjQgMCBvYmoNCjw8L0ZpbHRlci9GbGF0ZURlY29kZS9MZW5ndGggMzk+
										Pg0Kc3RyZWFtDQp4nBNgcGAAAiYGHECBkUGJoQHMZGFgZGJh8GgAM8kADtgEAbZaAi0NCmVuZHN0
										cmVhbQ0KZW5kb2JqDQoyNSAwIG9iag0KWyAyMjYgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
										IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNTYxIDAgMCAwIDAgMCAwIDAg
										MCAwIDQyMyAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNDk0IDUzNyAw
										IDUzNyA1MDMgMzE2IDAgMCAyNDYgMCAwIDI0NiAwIDUzNyA1MzggNTM3IDAgMzU1IDM5OSAwIDUz
										N10gDQplbmRvYmoNCjI2IDAgb2JqDQo8PC9OIDMvRmlsdGVyL0ZsYXRlRGVjb2RlL0xlbmd0aCAy
										NTkzPj4NCnN0cmVhbQ0KeJydlndUVNcWh8+9d3qhzTB0GHqvUgYQ6R2kV1EYZgYYygDDDNgLIioQ
										UUSkKYIEBQwYDUViRRQLAVEBe0CCgBKDUWyoZEbWSnx5ee/l5ffHPd/aZ+9z99l737UuACQvPy4v
										HZYCII0n4Ad7utAjo6Lp2H4AAzzAAHMAmKysDP8Qj1Agkre7Kz1L5AT+Ra+HASRebxl7BdLp4P+T
										NCuDLwAAChTxEjYniyXiPBGn5ggyxPZZEVPjU8QMo8TMFyUoYnkxJy6y0WefRXYSMzuNxxaxOOcM
										dhpbzD0i3pEt5IgY8RNxfjaXkyPi2yLWShWmcUX8VhybxmFmAYAiie0CDitJxGYiJvFDg11FvBQA
										HCnxC47/ggWc1QLxpVzTM9bwuYlJAroeS59ubmvLoHtxclI5AoFxIJOVwuSz6a7paRlM3hoAFu/8
										WTLi2tJFRbY2t7W2NrYwMf+iUP91829K3NtFehn0uWcQre8P21/5pdcBwJgT1Wb3H7b4CgA6tgEg
										f+8Pm9YhACRFfWsf+OI+NPG8JAkEGXampjk5OSZcDstEXNDf9T8d/oa+eJ+J+Ljfy0N34yQwhakC
										urhurPTUdCGfnpXBZHHoxn8e4n8c+Nd5GAVzEjh8Dk8UES6aMi4vUdRuHpsr4Kbz6Fzef2riPwz7
										kxbnWiRK/SdAjTUBUgNUgPzcB1AUIkBiDop2oN/75ocPB4GiNUJtcnHuPwv691PhYvEji5v4Oc41
										OJTOEvKzF/fEnyVAAwKQBFSgAFSBJtADxsAC2AB74ATcgQ8IAKEgCqwCLJAE0gAf5ID1YAvIB4Vg
										N9gHKkENqAeNoAWcAB3gNLgALoPr4AYYAvfBKJgAz8AseA3mIQjCQmSIAilAapA2ZAhZQAxoGeQO
										+UHBUBQUByVCPEgIrYe2QoVQCVQJ1UKN0LfQKegCdBUahO5CY9A09Cv0HkZgEkyFVWAd2BRmwM6w
										LxwKr4QT4Ux4LZwH74LL4Tr4GNwOX4Cvw0PwKPwMnkMAQkRoiDpijDAQVyQAiUYSED6yESlAypA6
										pAXpQnqRW8goMoO8Q2FQFBQdZYyyR3mhwlAsVCZqI6oIVYk6impH9aBuocZQs6hPaDJaGW2ItkN7
										oyPRiegcdD66DN2AbkNfQg+hJ9CvMRgMDaOLscF4YaIwyZh1mCLMAUwr5jxmEDOOmcNisQpYQ6wD
										NgDLxAqw+dgK7DHsOexN7AT2LY6IU8NZ4Dxw0TgeLhdXhmvCncXdxE3i5vFSeG28HT4Az8avwRfj
										6/Fd+AH8BH6eIE3QJTgQQgnJhC2EckIL4RLhAeElkUjUINoSg4hc4mZiOfE48QpxjPiOJEMyILmS
										YkhC0i7SEdJ50l3SSzKZrEN2IkeTBeRd5EbyRfIj8lsJioSJhLcEW2KTRJVEu8RNieeSeEltSWfJ
										VZJrJcskT0oOSM5I4aV0pFylmFIbpaqkTkmNSM1JU6TNpQOk06SLpJukr0pPyWBldGTcZdgyeTKH
										ZS7KjFMQiibFlcKibKXUUy5RJqgYqi7Vm5pMLaR+Q+2nzsrKyFrKhsuulq2SPSM7SkNoOjRvWiqt
										mHaCNkx7L6ci5yzHkdsp1yJ3U+6NvJK8kzxHvkC+VX5I/r0CXcFdIUVhj0KHwkNFlKKBYpBijuJB
										xUuKM0pUJXslllKB0gmle8qwsoFysPI65cPKfcpzKqoqnioZKhUqF1VmVGmqTqrJqqWqZ1Wn1Shq
										y9S4aqVq59Se0mXpzvRUejm9hz6rrqzupS5Ur1XvV5/X0NUI08jVaNV4qEnQZGgmaJZqdmvOaqlp
										+Wut12rWuqeN12ZoJ2nv1+7VfqOjqxOhs12nQ2dKV17XW3etbrPuAz2ynqNepl6d3m19jD5DP0X/
										gP4NA9jAyiDJoMpgwBA2tDbkGh4wHDRCG9ka8YzqjEaMScbOxtnGzcZjJjQTP5Nckw6T56ZaptGm
										e0x7TT+ZWZmlmtWb3TeXMfcxzzXvMv/VwsCCZVFlcXsJeYnHkk1LOpe8sDS05FgetLxjRbHyt9pu
										1W310drGmm/dYj1to2UTZ1NtM8KgMgIZRYwrtmhbF9tNtqdt39lZ2wnsTtj9Ym9sn2LfZD+1VHcp
										Z2n90nEHDQemQ63D6DL6srhlh5aNOqo7Mh3rHB87aTqxnRqcJp31nZOdjzk/dzFz4bu0ubxxtXPd
										4HreDXHzdCtw63eXcQ9zr3R/5KHhkejR7DHraeW5zvO8F9rL12uP14i3ijfLu9F71sfGZ4NPjy/J
										N8S30vexn4Ef36/LH/b38d/r/2C59nLe8o4AEOAdsDfgYaBuYGbg90GYoMCgqqAnwebB64N7Qygh
										sSFNIa9DXUKLQ++H6YUJw7rDJcNjwhvD30S4RZREjEaaRm6IvB6lGMWN6ozGRodHN0TPrXBfsW/F
										RIxVTH7M8ErdlatXXl2luCp11ZlYyVhm7Mk4dFxEXFPcB2YAs445F+8dXx0/y3Jl7Wc9YzuxS9nT
										HAdOCWcywSGhJGEq0SFxb+J0kmNSWdIM15VbyX2R7JVck/wmJSDlSMpCakRqaxouLS7tFE+Gl8Lr
										SVdNX50+mGGYkZ8xmmmXuS9zlu/Lb8iCslZmdQqoop+pPqGecJtwLHtZdlX225zwnJOrpVfzVvet
										MVizc83kWo+1X69DrWOt616vvn7L+rENzhtqN0Ib4zd2b9LclLdpYrPn5qNbCFtStvyQa5Zbkvtq
										a8TWrjyVvM1549s8tzXnS+Tz80e222+v2YHawd3Rv3PJzoqdnwrYBdcKzQrLCj8UsYqufWX+VflX
										C7sSdvUXWxcf3I3Zzds9vMdxz9ES6ZK1JeN7/fe2l9JLC0pf7Yvdd7XMsqxmP2G/cP9ouV95Z4VW
										xe6KD5VJlUNVLlWt1crVO6vfHGAfuHnQ6WBLjUpNYc37Q9xDd2o9a9vrdOrKDmMOZx9+Uh9e3/s1
										4+vGBsWGwoaPR3hHRo8GH+1ptGlsbFJuKm6Gm4XN08dijt34xu2bzhbjltpWWmvhcXBcePzpt3Hf
										Dp/wPdF9knGy5Tvt76rbKG0F7VD7mvbZjqSO0c6ozsFTPqe6u+y72r43+f7IafXTVWdkzxSfJZzN
										O7twbu25ufMZ52cuJF4Y747tvn8x8uLtnqCe/ku+l65c9rh8sde599wVhyunr9pdPXWNca3juvX1
										9j6rvrYfrH5o67fubx+wGei8YXuja3Dp4Nmbjjcv3HK7dfm29+3rQ8uHBofDhu+MxIyM3mHfmbqb
										evfFvex78/c3P0A/KHgo9bDskfKjuh/1f2wdtR49M+Y21vc45PH9cdb4s5+yfvowkfeE/KRsUm2y
										ccpi6vS0x/SNpyueTjzLeDY/k/+z9M/Vz/Wef/eL0y99s5GzEy/4LxZ+LXqp8PLIK8tX3XOBc49e
										p72ef1PwVuHt0XeMd73vI95Pzud8wH4o/6j/seuT76cHC2kLC78B94Tz+w0KZW5kc3RyZWFtDQpl
										bmRvYmoNCjI3IDAgb2JqDQo8PC9UeXBlL01ldGFkYXRhL1N1YnR5cGUvWE1ML0xlbmd0aCAzMjM1
										Pj4NCnN0cmVhbQ0KPD94cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRj
										emtjOWQiPz48eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSIzLjEt
										NzAxIj4KPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJk
										Zi1zeW50YXgtbnMjIj4KPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgIHhtbG5zOnBkZj0i
										aHR0cDovL25zLmFkb2JlLmNvbS9wZGYvMS4zLyI+CjxwZGY6UHJvZHVjZXI+TWljcm9zb2Z0wq4g
										V29yZCAyMDEwPC9wZGY6UHJvZHVjZXI+PC9yZGY6RGVzY3JpcHRpb24+CjxyZGY6RGVzY3JpcHRp
										b24gcmRmOmFib3V0PSIiICB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEu
										MS8iPgo8ZGM6Y3JlYXRvcj48cmRmOlNlcT48cmRmOmxpPlNlZXJhaW5lciwgQ2FyaW5hPC9yZGY6
										bGk+PC9yZGY6U2VxPjwvZGM6Y3JlYXRvcj48L3JkZjpEZXNjcmlwdGlvbj4KPHJkZjpEZXNjcmlw
										dGlvbiByZGY6YWJvdXQ9IiIgIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4w
										LyI+Cjx4bXA6Q3JlYXRvclRvb2w+TWljcm9zb2Z0wq4gV29yZCAyMDEwPC94bXA6Q3JlYXRvclRv
										b2w+PHhtcDpDcmVhdGVEYXRlPjIwMTMtMDQtMDNUMTU6MTQ6NTMrMDI6MDA8L3htcDpDcmVhdGVE
										YXRlPjx4bXA6TW9kaWZ5RGF0ZT4yMDEzLTA0LTAzVDE1OjE0OjUzKzAyOjAwPC94bXA6TW9kaWZ5
										RGF0ZT48L3JkZjpEZXNjcmlwdGlvbj4KPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgIHht
										bG5zOnhhcE1NPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvbW0vIj4KPHhhcE1NOkRvY3Vt
										ZW50SUQ+dXVpZDpGNTE3QjdGMi05NjVFLTQ3MDUtOTlERC0zMTNDNUIxRDREMTQ8L3hhcE1NOkRv
										Y3VtZW50SUQ+PHhhcE1NOkluc3RhbmNlSUQ+dXVpZDpGNTE3QjdGMi05NjVFLTQ3MDUtOTlERC0z
										MTNDNUIxRDREMTQ8L3hhcE1NOkluc3RhbmNlSUQ+PC9yZGY6RGVzY3JpcHRpb24+CjxyZGY6RGVz
										Y3JpcHRpb24gcmRmOmFib3V0PSIiICB4bWxuczpwZGZhaWQ9Imh0dHA6Ly93d3cuYWlpbS5vcmcv
										cGRmYS9ucy9pZC8iPgo8cGRmYWlkOnBhcnQ+MTwvcGRmYWlkOnBhcnQ+PHBkZmFpZDpjb25mb3Jt
										YW5jZT5BPC9wZGZhaWQ6Y29uZm9ybWFuY2U+PC9yZGY6RGVzY3JpcHRpb24+CiAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAog
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
										ICAgICAgICAgICAgIAo8L3JkZjpSREY+PC94OnhtcG1ldGE+PD94cGFja2V0IGVuZD0idyI/Pg0K
										ZW5kc3RyZWFtDQplbmRvYmoNCnhyZWYNCjAgMjgNCjAwMDAwMDAwMDAgNjU1MzUgZg0KMDAwMDAw
										MDAxNyAwMDAwMCBuDQowMDAwMDAwMzQwIDAwMDAwIG4NCjAwMDAwMDAzOTYgMDAwMDAgbg0KMDAw
										MDAwMDU4NSAwMDAwMCBuDQowMDAwMDAwODQ3IDAwMDAwIG4NCjAwMDAwMDEwMjAgMDAwMDAgbg0K
										MDAwMDAwMTI2NCAwMDAwMCBuDQowMDAwMDAxMzk5IDAwMDAwIG4NCjAwMDAwMDE0MjcgMDAwMDAg
										bg0KMDAwMDAwMTU5MSAwMDAwMCBuDQowMDAwMDAxNjY1IDAwMDAwIG4NCjAwMDAwMDE5MjQgMDAw
										MDAgbg0KMDAwMDAwMjE1NSAwMDAwMCBuDQowMDAwMDAyMjY0IDAwMDAwIG4NCjAwMDAwMDI1MTgg
										MDAwMDAgbg0KMDAwMDAwMjU1OSAwMDAwMCBuDQowMDAwMDAyNjM0IDAwMDAwIG4NCjAwMDAwMDI3
										MDMgMDAwMDAgbg0KMDAwMDAwMjc0MCAwMDAwMCBuDQowMDAwMDAyODA5IDAwMDAwIG4NCjAwMDAw
										MDMxMTEgMDAwMDAgbg0KMDAwMDA4Mjg0MiAwMDAwMCBuDQowMDAwMDg0Mzg4IDAwMDAwIG4NCjAw
										MDAwODQ2MDMgMDAwMDAgbg0KMDAwMDA4NDcxNiAwMDAwMCBuDQowMDAwMDg0OTQzIDAwMDAwIG4N
										CjAwMDAwODc2MTYgMDAwMDAgbg0KdHJhaWxlcg0KPDwvU2l6ZSAyOC9Sb290IDEgMCBSL0luZm8g
										MTIgMCBSL0lEWzxGMkI3MTdGNTVFOTYwNTQ3OTlERDMxM0M1QjFENEQxND48RjJCNzE3RjU1RTk2
										MDU0Nzk5REQzMTNDNUIxRDREMTQ+XSA+Pg0Kc3RhcnR4cmVmDQo5MDkzNA0KJSVFT0Y=
									</value>
								</observationMedia>
							</entryRelationship>
						</act>
					</entry>

					<!-- Ende Level 3 -->
				</section>
			</component>


			<!--- Speciality Hämostaseologie-->
			<component typeCode="COMP">
				<section classCode="DOCSECT">
					<templateId root="1.3.6.1.4.1.19376.1.3.3.2.1"/>
					<id extension="P-body" root="2.16.840.1.113883.3.933.1.1"/>
					<code code="400" codeSystem="1.2.40.0.34.5.11"
						codeSystemName="ELGA_LaborparameterErgaenzung" displayName="Hämostaseologie"/>
					<title>Hämostaseologie</title>
					<!-- Start Level 2 -->
					<text>
						<paragraph styleCode="xELGA_h3">Hämostaseologie Globaltest</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
									<th>Externes Labor</th>
								</tr>
							</thead>
							<tfoot>
								<tr>
									<td>
										<footnote ID="fn1">
											<sup>1)</sup>INR nur gültig bei oraler
											Antikoagulation</footnote>
									</td>
								</tr>
							</tfoot>
							<tbody>
								<tr ID="OBS-2-1">
									<td>PTZ (Prothrombinz.)</td>
									<td>116</td>
									<td>%</td>
									<td ID="OBSREF-2-1">70-130</td>
									<td/>
									<td/>
								</tr>
								<tr ID="OBS-2-2" styleCode="xELGA_red">
									<td>INR</td>
									<td>1.1<sup>1)</sup></td>
									<td/>
									<td ID="OBSREF-2-2">2.0-3.5</td>
									<td>-</td>
									<td/>
								</tr>
								<tr ID="OBS-2-3">
									<td>aPTT</td>
									<td>29.3</td>
									<td>sek</td>
									<td ID="OBSREF-2-3">23.0-37.0</td>
									<td/>
									<td/>
								</tr>
								<tr ID="OBS-2-4">
									<td>AT III Aktivität</td>
									<td>101</td>
									<td>%</td>
									<td ID="OBSREF-2-4">80-135</td>
									<td/>
									<td/>
								</tr>
								<tr ID="OBS-2-5">
									<td>D-Dimer</td>
									<td>0.30</td>
									<td>mg/L</td>
									<td ID="OBSREF-2-5">&lt;0.50</td>
									<td/>
									<td/>
								</tr>
							</tbody>

						</table>
						<br/>
						<paragraph styleCode="xELGA_h3">Einzelfaktoranalysen</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
									<th>Externes Labor</th>
								</tr>
							</thead>
							<tbody>
								<tr ID="OBS-2-6">
									<td>Faktor VII Aktivität</td>
									<td>104</td>
									<td>%</td>
									<td ID="OBSREF-2-6">75-160</td>
									<td/>
									<td>E</td>
								</tr>
								<tr ID="OBS-2-7">
									<td>Faktor VIII Aktivität</td>
									<td>112</td>
									<td>%</td>
									<td ID="OBSREF-2-7">60-160</td>
									<td/>
									<td>E</td>
								</tr>
							</tbody>
						</table>
						<br/>
						<paragraph styleCode="xELGA_h3">Thrombophilie Tests</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
									<th>Externes Labor</th>
								</tr>
							</thead>
							<tbody>
								<tr ID="OBS-2-8">
									<td>Protein C Aktivität</td>
									<td>125</td>
									<td>%</td>
									<td ID="OBSREF-2-8">70-140</td>
									<td/>
									<td/>
								</tr>
								<tr ID="OBS-2-9">
									<td>Protein S Aktivität</td>
									<td>75</td>
									<td>%</td>
									<td ID="OBSREF-2-9">60-140</td>
									<td/>
									<td/>
								</tr>
							</tbody>
						</table>
						<br/>
					</text>

					<!-- 
						Ende Level 2
						Start Level 3
						Anmerkung: Der Beispielbefund ist auszugsweise Level 3 codiert 
					-->
					<entry typeCode="DRIV">
						<templateId root="1.3.6.1.4.1.19376.1.3.1"
							extension="Lab.Report.Data.Processing.Entry"/>
						<act classCode="ACT" moodCode="EVN">
							<code code="400" codeSystem="1.2.40.0.34.5.11"
								codeSystemName="ELGA_LaborparameterErgaenzung"
								displayName="Hämostaseologie"/>
							<statusCode code="completed"/>

							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="04140" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Hämostaseologie Globaltests"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-1"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="5894-1" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="PTZ (Prothrombinz.)"/>
											<text>
												<reference value="#OBS-2-1"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="116" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-1"/></text>
												<value xsi:type="IVL_PQ">
												<low value="70" unit="%"/>
												<high value="130" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-2"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="6301-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="INR"/>

											<text>
												<reference value="#OBS-2-2"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value xsi:type="PQ" value="1.1" unit="1"/>
											<interpretationCode code="L"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="Low"/>
											<entryRelationship typeCode="COMP">
												<act classCode="ACT" moodCode="EVN">
												<templateId root="1.2.40.0.34.11.4.3.2"/>
												<templateId root="2.16.840.1.113883.10.20.1.40"/>
												<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
												<code code="48767-8"
												codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Annotation Comment"/>
												<text>
												<reference value="#fn1"/>
												</text>
												<statusCode code="completed"/>
												</act>
											</entryRelationship>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-2"/></text>
												<value xsi:type="IVL_PQ">
													<low value="2.0" unit="1" inclusive="true"/>
													<high value="3.5" unit="1" inclusive="true"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-3"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="14979-9" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="aPTT"/>
											<text>
												<reference value="#OBS-2-3"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="s" value="29.3" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-3"/></text>
												<value xsi:type="IVL_PQ">
												<low value="23.0" unit="s"/>
												<high value="37.0" unit="s"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-4"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="27811-9" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="AT III Aktivität"/>

											<text>
												<reference value="#OBS-2-4"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="101" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>

											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-4"/></text>
												<value xsi:type="IVL_PQ">
												<low value="80" unit="%"/>
												<high value="135" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-5"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="30240-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="D-Dimer"/>

											<text>
												<reference value="#OBS-2-5"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="mg/L" value="0.30" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-5"/></text>
												<value xsi:type="IVL_PQ">
												<low nullFlavor="NI"/>
												<high value="0.50" unit="mg/L" inclusive="false"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
								</organizer>
							</entryRelationship>

							<!-- Einzelfaktorenanalyse -->
							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="04150" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Einzelfaktoranalysen"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-6"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3198-9" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Faktor VII Aktivität"/>

											<text>
												<reference value="#OBS-2-6"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="104" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>

											<performer typeCode="PRF">
												<templateId root="1.2.40.0.34.11.4.3.3"/>
												<time value="20161201121500+0100"/>
												<assignedEntity>
													<id root="1.2.40.0.34.99.111.0.2" extension="55146"/>
												<code code="E"
												codeSystem="2.16.840.1.113883.2.16.1.4.9"
												codeSystemName="HL7.at.Laborkennzeichnung"
												displayName="EXTERN"/>
												<addr>
												<streetAddressLine>Laborplatz
												1</streetAddressLine>
												<city>Wien</city>
												<postalCode>1210</postalCode>
												<country>AUT</country>
												</addr>
												<telecom use="WP" value="tel:+43.1.12345678"/>
												<assignedPerson>
												<name>
												<family>Laborleiter</family>
												<given>Larissa</given>
												<prefix qualifier="AC">Dr.</prefix>
												</name>
												</assignedPerson>
												<representedOrganization>
													<id root="1.2.40.0.34.3.1.999"/>
												<name>Zentrallabor</name>
												<telecom use="WP" value="tel:+43.1.12345678"/>
												<addr>
												<streetAddressLine>Laborpatz 1</streetAddressLine>
												<city>Wien</city>
												<postalCode>1210</postalCode>
												<country>AUT</country>
												</addr>
												</representedOrganization>
												</assignedEntity>
											</performer>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-6"/></text>
												<value xsi:type="IVL_PQ">
												<low value="75" unit="%"/>
												<high value="160" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-7"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3209-4" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Faktor VII Aktivität"/>

											<text>
												<reference value="#OBS-2-7"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="112" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>

											<performer typeCode="PRF">
												<templateId root="1.2.40.0.34.11.4.3.3"/>
												<time value="20161201073406+0100"/>
												<assignedEntity>
													<id root="1.2.40.0.34.99.111.0.2" extension="55146"/>
												<code code="E"
												codeSystem="2.16.840.1.113883.2.16.1.4.9"
												codeSystemName="HL7.at.Laborkennzeichnung"
												displayName="EXTERN"/>
												<addr>
												<streetAddressLine>Laborplatz
												1</streetAddressLine>
												<city>Wien</city>
												<postalCode>1210</postalCode>
												<country>AUT</country>
												</addr>
												<telecom use="WP" value="tel:+43.1.12345678"/>
												<assignedPerson>
												<name>
												<family>Laborleiter</family>
												<given>Larissa</given>
												<prefix qualifier="AC">Dr.</prefix>
												</name>
												</assignedPerson>
												<representedOrganization>
													<id root="1.2.40.0.34.3.1.999"/>
												<name>Zentrallabor</name>
												<telecom use="WP" value="tel:+43.1.12345678"/>
												<addr>
												<streetAddressLine>Laborpatz 1</streetAddressLine>
												<city>Wien</city>
												<postalCode>1210</postalCode>
												<country>AUT</country>
												</addr>
												</representedOrganization>
												</assignedEntity>
											</performer>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-7"/></text>
												<value xsi:type="IVL_PQ">
												<low value="60" unit="%"/>
												<high value="160" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
								</organizer>
							</entryRelationship>

							<!-- Thrombophilie Tests -->
							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="04160" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Thrombophilie Tests"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-8"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="27818-4" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Protein C Aktivität"/>
											<text>
												<reference value="#OBS-2-8"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="125" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-8"/></text>
												<value xsi:type="IVL_PQ">
												<low value="70" unit="%"/>
												<high value="140" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-2-9"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="31102-7" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Protein S Aktivität"/>

											<text>
												<reference value="#OBS-2-9"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201073406+0100"/>
											<value unit="%" value="75" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-2-9"/></text>
												<value xsi:type="IVL_PQ">
												<low value="60" unit="%"/>
												<high value="140" unit="%"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
								</organizer>
							</entryRelationship>

						</act>
					</entry>

					<!-- Ende Level 3 -->
				</section>
			</component>

			<!--- Speciality Klinische Chemie-->
			<component typeCode="COMP">
				<section classCode="DOCSECT">
					<templateId root="1.3.6.1.4.1.19376.1.3.3.2.1"/>
					<id extension="P-body" root="2.16.840.1.113883.3.933.1.1"/>
					<code code="500" codeSystem="1.2.40.0.34.5.11"
						codeSystemName="ELGA_LaborparameterErgaenzung"
						displayName="Klinische Chemie"/>
					<title>Klinische Chemie/Proteindiagnostik</title>

					<!-- Start Level 2 -->
					<text>
						<paragraph styleCode="xELGA_h3">Klinische Chemie</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>

								</tr>
							</thead>
							<tbody>
								<tr ID="OBS-3-1" styleCode="xELGA_red">
									<td>Blutsenkung 1h</td>
									<td>33</td>
									<td>mm</td>
									<td ID="OBSREF-3-1">1-22</td>
									<td>+</td>

								</tr>
								<tr ID="OBS-3-2" styleCode="xELGA_red">
									<td>Blutsenkung 2h</td>
									<td>56</td>
									<td>mm</td>
									<td ID="OBSREF-3-2">2-35</td>
									<td>+</td>
								</tr>
								<tr ID="OBS-3-4">
									<td>Natrium</td>
									<td>137</td>
									<td>mmol/L</td>
									<td ID="OBSREF-3-4">135-150</td>
									<td/>
								</tr>
								<tr ID="OBS-3-3">
									<td>Kalium</td>
									<td>4.96</td>
									<td>mmol/L</td>
									<td ID="OBSREF-3-3">3.50-5.30</td>
									<td/>
								</tr>
								<tr ID="OBS-3-5">
									<td>Chlorid</td>
									<td>105</td>
									<td>mmol/L</td>
									<td ID="OBSREF-3-5">95-110</td>
									<td/>
								</tr>
								<tr ID="OBS-3-6" styleCode="xELGA_red">
									<td>Calcium</td>
									<td>2.71</td>
									<td>mmol/L</td>
									<td ID="OBSREF-3-6">2.15-2.60</td>
									<td>+</td>
								</tr>
								<tr ID="OBS-3-7">
									<td>CK</td>
									<td>142</td>
									<td>U/L</td>
									<td ID="OBSREF-3-7">0-170</td>
									<td/>
								</tr>
								<tr ID="OBS-3-8">
									<td>Troponin I</td>
									<td>0.01</td>
									<td>ng/L</td>
									<td ID="OBSREF-3-8">0.00-0.04</td>
									<td/>
								</tr>
								<tr ID="OBS-3-9">
									<td>ASAT (GOT)</td>
									<td>28</td>
									<td>U/L</td>
									<td ID="OBSREF-3-9">0-38</td>
									<td/>
								</tr>
								<tr ID="OBS-3-10">
									<td>ALAT (GPT)</td>
									<td>25</td>
									<td>U/L</td>
									<td ID="OBSREF-3-10">0-41</td>
									<td/>
								</tr>
								<tr ID="OBS-3-11">
									<td>Gamma-GT</td>
									<td>21</td>
									<td>U/L</td>
									<td ID="OBSREF-3-11">0-66</td>
									<td/>
								</tr>
								<tr ID="OBS-3-12">
									<td>Alk.Phosphatase (AP)</td>
									<td>54</td>
									<td>U/L</td>
									<td ID="OBSREF-3-12">40-129</td>
									<td/>
								</tr>
								<tr ID="OBS-3-13">
									<td>Eisen</td>
									<td>91</td>
									<td>µg/dL</td>
									<td ID="OBSREF-3-13">80-150</td>
									<td/>
								</tr>
								<tr ID="OBS-3-14">
									<td>Transferrin</td>
									<td>2.1</td>
									<td>g/L</td>
									<td ID="OBSREF-3-14">2-3.6</td>
									<td/>
								</tr>
								<tr ID="OBS-3-15">
									<td>Transferrinsättigung</td>
									<td>30.7</td>
									<td>%</td>
									<td ID="OBSREF-3-15">16-45</td>
									<td/>
								</tr>
								<tr ID="OBS-3-16" styleCode="xELGA_red">
									<td>Ferritin</td>
									<td>724</td>
									<td>µg/l</td>
									<td ID="OBSREF-3-16">15-400</td>
									<td>++</td>
								</tr>
								<tr ID="OBS-3-17" styleCode="xELGA_red">
									<td>Hämoglobin A1c</td>
									<td>1.0</td>
									<td>%</td>
									<td ID="OBSREF-3-17">4.4-6.4</td>
									<td>-</td>
								</tr>
								<tr ID="OBS-3-18">
									<td>Cholesterin</td>
									<td>171</td>
									<td>mg/dL</td>
									<td ID="OBSREF-3-18">&lt;201</td>
									<td/>
								</tr>
								<tr ID="OBS-3-19" styleCode="xELGA_red">
									<td>HDL-Cholesterin</td>
									<td>36</td>
									<td>mg/dL</td>
									<td ID="OBSREF-3-19">&gt;65</td>
									<td>-</td>
								</tr>
								<tr ID="OBS-3-20">
									<td>LDL-Cholesterin</td>
									<td>116</td>
									<td>mg/dL</td>
									<td ID="OBSREF-3-20">&lt;155</td>
									<td/>
								</tr>
								<tr ID="OBS-3-21">
									<td>Triglyceride</td>
									<td>98</td>
									<td>mg/dL</td>
									<td ID="OBSREF-3-21">&lt;200</td>
									<td/>
								</tr>
							</tbody>
						</table>						
						<br/>
						<paragraph styleCode="xELGA_h3">Proteindiagnostik</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
								</tr>
							</thead>
							<tbody>
								<tr ID="OBS-3-22" styleCode="xELGA_red">
									<td>Albumin</td>
									<td>39.7</td>
									<td>g/l</td>
									<td ID="OBSREF-3-22">41.9-53.5</td>
									<td>-</td>
								</tr>
								<tr ID="OBS-3-23">
									<td>Alpha-1-Globulin</td>
									<td>1.9</td>
									<td>g/l</td>
									<td ID="OBSREF-3-23">1.0-2.1</td>
									<td/>
								</tr>
								<tr ID="OBS-3-24" styleCode="xELGA_red">
									<td>Alpha-2-Globulin</td>
									<td>8.5</td>
									<td>g/l</td>
									<td ID="OBSREF-3-24">5.1-8.1</td>
									<td>+</td>
								</tr>
								<tr ID="OBS-3-25">
									<td>Beta-Globulin</td>
									<td>7.1</td>
									<td>g/l</td>
									<td ID="OBSREF-3-25">4.7-9.2</td>
									<td/>
								</tr>
								<tr ID="OBS-3-26">
									<td>Gamma-Globulin</td>
									<td>8.5</td>
									<td>g/l</td>
									<td ID="OBSREF-3-26">4.7-12.2</td>
									<td/>
								</tr>
							</tbody>
						</table>
						<br/>
						<!-- Referenz auf Base 64 codierte Abbildung, wird an dieser Stelle angezeigt -->
						<renderMultiMedia referencedObject="ELPHOR1"/>
						<br/>
					</text>


					<!-- 
						Ende Level 2
						Start Level 3
						Anmerkung: Der Beispielbefund ist auszugsweise Level 3 codiert
					-->
					<entry typeCode="DRIV">
						<templateId root="1.3.6.1.4.1.19376.1.3.1"
							extension="Lab.Report.Data.Processing.Entry"/>
						<act classCode="ACT" moodCode="EVN">
							<code code="500" codeSystem="1.2.40.0.34.5.11"
								codeSystemName="ELGA_LaborparameterErgaenzung"
								displayName="Klinische Chemie"/>
							<statusCode code="completed"/>

							<!-- Klinische Chemie -->
							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="05180" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Klinische Chemie"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-1"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="4537-7" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Blutsenkung 1h"/>
											<text>
												<reference value="#OBS-3-1"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mm" value="33" xsi:type="PQ"/>
											<interpretationCode code="H"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-3-1"/></text>
												<value xsi:type="IVL_PQ">
												<low value="1" unit="mm"/>
												<high value="22" unit="mm"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-2"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="18184-2" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Blutsenkung 2h"/>

											<text>
												<reference value="#OBS-3-2"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mm" value="56" xsi:type="PQ"/>
											<interpretationCode code="H"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-3-2"/></text>
												<value xsi:type="IVL_PQ">
												<low value="2" unit="mm"/>
												<high value="35" unit="mm"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-3"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2823-3" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Kalium"/>
											
											<text>
												<reference value="#OBS-3-3"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mmol/L" value="4.96" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-3"/></text>
													<value xsi:type="IVL_PQ">
														<low value="3.50" unit="mmol/L"/>
														<high value="5.30" unit="mmol/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-4"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2951-2" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Natrium"/>
											
											<text>
												<reference value="#OBS-3-4"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mmol/L" value="137" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-4"/></text>
													<value xsi:type="IVL_PQ">
														<low value="135" unit="mmol/L"/>
														<high value="150" unit="mmol/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-5"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2075-0" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Chlorid"/>
											
											<text>
												<reference value="#OBS-3-5"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mmol/L" value="105" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-5"/></text>
													<value xsi:type="IVL_PQ">
														<low value="95" unit="mmol/L"/>
														<high value="110" unit="mmol/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-6"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2000-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Calcium"/>
											
											<text>
												<reference value="#OBS-3-6"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mmol/L" value="2.71" xsi:type="PQ"/>
											<interpretationCode code="H"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-6"/></text>
													<value xsi:type="IVL_PQ">
														<low value="2.15" unit="mmol/L"/>
														<high value="2.60" unit="mmol/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-7"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2157-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="CK"/>
											<text>
												<reference value="#OBS-3-7"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="[IU]/L" value="142" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-7"/></text>
													<value xsi:type="IVL_PQ">
														<low value="0" unit="[IU]/L"/>
														<high value="170" unit="[IU]/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-8"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="10839-9" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Troponin I"/>
											
											<text>
												<reference value="#OBS-3-8"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="ng/L" value="0.01" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-8"/></text>
													<value xsi:type="IVL_PQ">
														<low value="0.00" unit="ng/L"/>
														<high value="0.04" unit="ng/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-9"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="1920-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="ASAT (GOT)"/>
											
											<text>
												<reference value="#OBS-3-9"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="[IU]/L" value="28" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-9"/></text>
													<value xsi:type="IVL_PQ">
														<low value="0" unit="[IU]/L"/>
														<high value="38" unit="[IU]/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-10"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="1742-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="ALAT (GPT)"/>
											<text>
												<reference value="#OBS-3-10"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="[IU]/L" value="25" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-10"/></text>
													<value xsi:type="IVL_PQ">
														<low value="0" unit="[IU]/L"/>
														<high value="41" unit="[IU]/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-11"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2324-2" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Gamma-GT"/>
											<text>
												<reference value="#OBS-3-11"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="[IU]/L" value="21" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-11"/></text>
													<value xsi:type="IVL_PQ">
														<low value="0" unit="[IU]/L"/>
														<high value="66" unit="[IU]/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-12"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="6768-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Alk.Phosphatase (AP)"/>
											
											<text>
												<reference value="#OBS-3-12"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="[IU]/L" value="54" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-12"/></text>
													<value xsi:type="IVL_PQ">
														<low value="40" unit="[IU]/L"/>
														<high value="129" unit="[IU]/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-13"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2498-4" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Eisen"/>
											
											<text>
												<reference value="#OBS-3-13"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="ug/dL" value="91" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-13"/></text>
													<value xsi:type="IVL_PQ">
														<low value="80" unit="ug/dL"/>
														<high value="150" unit="ug/dL"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-14"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3034-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Transferrin"/>
											<text>
												<reference value="#OBS-3-14"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="g/L" value="2.1" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-14"/></text>
													<value xsi:type="IVL_PQ">
														<low value="2" unit="g/L"/>
														<high value="3.6" unit="g/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-15"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2505-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Transferrinsättigung"/>
											
											<text>
												<reference value="#OBS-3-15"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="%" value="30.7" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-15"/></text>
													<value xsi:type="IVL_PQ">
														<low value="16" unit="%"/>
														<high value="45" unit="%"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-16"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2276-4" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Ferritin"/>
											<text>
												<reference value="#OBS-3-16"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="ug/L" value="724" xsi:type="PQ"/>
											<interpretationCode code="HH"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High Alert"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-16"/></text>
													<value xsi:type="IVL_PQ">
														<low value="15" unit="ug/L"/>
														<high value="400" unit="ug/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-17"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="4548-4" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Hämoglobin A1c"/>
											
											<text>
												<reference value="#OBS-3-17"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="%" value="1.0" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-17"/></text>
													<value xsi:type="IVL_PQ">
														<low value="4.4" unit="%"/>
														<high value="6.4" unit="%"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-18"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2093-3" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Cholesterin"/>
											<text>
												<reference value="#OBS-3-18"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mg/dL" value="171" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-18"/></text>
													<value xsi:type="IVL_PQ">
														<low nullFlavor="NI"/>
														<high value="201" unit="mg/dL" inclusive="false"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-19"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2085-9" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="HDL-Cholesterin"/>
											<text>
												<reference value="#OBS-3-19"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mg/dL" value="36" xsi:type="PQ"/>
											<interpretationCode code="L"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="Low"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-19"/></text>
													<value xsi:type="IVL_PQ">
														<low value="65" unit="mg/dL" inclusive="false"/>
														<high nullFlavor="NI"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-20"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2089-1" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="LDL-Cholesterin"/>
											<text>
												<reference value="#OBS-3-20"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mg/dL" value="116" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-20"/></text>
													<value xsi:type="IVL_PQ">
														<low nullFlavor="NI"/>
														<high value="155" unit="mg/dL" inclusive="false"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-21"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2571-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Triglyceride"/>
											
											<text>
												<reference value="#OBS-3-21"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="mg/dL" value="98" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-3-21"/></text>
													<value xsi:type="IVL_PQ">
														<low nullFlavor="NI"/>
														<high value="200" unit="mg/dL" inclusive="false"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
								</organizer>
							</entryRelationship>
							
							<!-- Proteindiagnostik -->
							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="05180" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Proteindiagnostik"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-22"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="1751-7" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Albumin"/>
											<text>
												<reference value="#OBS-3-22"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="g/L" value="39.7" xsi:type="PQ"/>
											<interpretationCode code="L"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="Low"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-3-22"/></text>
												<value xsi:type="IVL_PQ">
												<low value="41.9" unit="g/L"/>
												<high value="53.5" unit="g/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-23"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2865-4" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Alpha-1-Globulin"/>
											<text>
												<reference value="#OBS-3-23"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="g/L" value="1.9" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-3-23"/></text>
												<value xsi:type="IVL_PQ">
												<low value="1.0" unit="g/L"/>
												<high value="2.1" unit="g/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-24"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2868-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC"
												displayName="Alpha-2-Globulin"/>

											<text>
												<reference value="#OBS-3-24"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="g/L" value="8.5" xsi:type="PQ"/>
											<interpretationCode code="H"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="High"/>
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-3-24"/></text>
												<value xsi:type="IVL_PQ">
												<low value="5.1" unit="g/L"/>
												<high value="8.1" unit="g/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-25"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2871-2" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Beta-Globulin"/>
											<text>
												<reference value="#OBS-3-25"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="g/L" value="7.1" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-3-25"/></text>
												<value xsi:type="IVL_PQ">
												<low value="4.7" unit="g/L"/>
												<high value="9.2" unit="g/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-3-26"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2874-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Gamma-Globulin"/>
											<text>
												<reference value="#OBS-3-26"/>
											</text>
											<statusCode code="completed"/>
											<!-- Physiologische Zeit der Analyse -->
											<effectiveTime value="20161201075606+0100"/>
											<value unit="g/L" value="8.5" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich (normale Werte = N) -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-3-26"/></text>
												<value xsi:type="IVL_PQ">
												<low value="4.7" unit="g/L"/>
												<high value="12.2" unit="g/L"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<!-- Inline image base64 codiert -->
										<observationMedia classCode="OBS" moodCode="EVN"
											ID="ELPHOR1">
											<templateId root="1.2.40.0.34.11.1.3.1"/>											
											<value mediaType="image/jpeg" representation="B64">
												/9j/4AAQSkZJRgABAQEBLAEsAAD/4QA6RXhpZgAATU0AKgAAAAgAA1EQAAEAAAABAQAAAFERAAQA
												AAABAAAuI1ESAAQAAAABAAAuIwAAAAD/2wBDAAIBAQIBAQICAgICAgICAwUDAwMDAwYEBAMFBwYH
												BwcGBwcICQsJCAgKCAcHCg0KCgsMDAwMBwkODw0MDgsMDAz/2wBDAQICAgMDAwYDAwYMCAcIDAwM
												DAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAz/wAARCAQUBWoD
												ASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUF
												BAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0
												NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKj
												pKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QA
												HwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEE
												BSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZH
												SElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0
												tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9
												/KKKKAPhfxd/wcSfs1+EPEl5psmteIr5rOUxGez0ppreUjujg4ZfcVm/8RI/7NP/AEEPGH/gjf8A
												xr57/wCDZj4DeBvi58AviXc+LPBfhPxRc2niC3igl1bSLe9eFDbAlVMiMVBPOBxmv0x/4Yq+Df8A
												0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/gjf8Axr6t/wCGKvg3
												/wBEl+GX/hL2P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/wRv8A40f8RI/7NP8A
												0EPGH/gjf/Gvq3/hir4N/wDRJfhl/wCEvY//ABqj/hir4N/9El+GX/hL2P8A8aoA+Uv+Ikf9mn/o
												IeMP/BG/+NH/ABEj/s0/9BDxh/4I3/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S
												9j/8aoA+Uv8AiJH/AGaf+gh4w/8ABG/+NH/ESP8As0/9BDxh/wCCN/8AGvq3/hir4N/9El+GX/hL
												2P8A8ao/4Yq+Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/g
												jf8Axr6t/wCGKvg3/wBEl+GX/hL2P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/w
												Rv8A40f8RI/7NP8A0EPGH/gjf/Gvq3/hir4N/wDRJfhl/wCEvY//ABqj/hir4N/9El+GX/hL2P8A
												8aoA+Uv+Ikf9mn/oIeMP/BG/+NH/ABEj/s0/9BDxh/4I3/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8A
												hir4N/8ARJfhl/4S9j/8aoA+Uv8AiJH/AGaf+gh4w/8ABG/+NH/ESP8As0/9BDxh/wCCN/8AGvq3
												/hir4N/9El+GX/hL2P8A8ao/4Yq+Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f
												8RI/7NP/AEEPGH/gjf8Axr6t/wCGKvg3/wBEl+GX/hL2P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv
												+Ikf9mn/AKCHjD/wRv8A40f8RI/7NP8A0EPGH/gjf/Gvq3/hir4N/wDRJfhl/wCEvY//ABqj/hir
												4N/9El+GX/hL2P8A8aoA+Uv+Ikf9mn/oIeMP/BG/+NH/ABEj/s0/9BDxh/4I3/xr6t/4Yq+Df/RJ
												fhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S9j/8aoA+Uv8AiJH/AGaf+gh4w/8ABG/+NH/ESP8As0/9
												BDxh/wCCN/8AGvq3/hir4N/9El+GX/hL2P8A8ao/4Yq+Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn
												/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/gjf8Axr6t/wCGKvg3/wBEl+GX/hL2P/xqj/hir4N/9El+
												GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/wRv8A40f8RI/7NP8A0EPGH/gjf/Gvq3/hir4N/wDRJfhl
												/wCEvY//ABqj/hir4N/9El+GX/hL2P8A8aoA+Uv+Ikf9mn/oIeMP/BG/+NH/ABEj/s0/9BDxh/4I
												3/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S9j/8aoA+Uv8AiJH/AGaf+gh4w/8A
												BG/+NH/ESP8As0/9BDxh/wCCN/8AGvq3/hir4N/9El+GX/hL2P8A8ao/4Yq+Df8A0SX4Zf8AhL2P
												/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/gjf8Axr6t/wCGKvg3/wBEl+GX/hL2
												P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/wRv8A40f8RI/7NP8A0EPGH/gjf/Gv
												q3/hir4N/wDRJfhl/wCEvY//ABqj/hir4N/9El+GX/hL2P8A8aoA+Uv+Ikf9mn/oIeMP/BG/+NH/
												ABEj/s0/9BDxh/4I3/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S9j/8aoA+Uv8A
												iJH/AGaf+gh4w/8ABG/+NH/ESP8As0/9BDxh/wCCN/8AGvq3/hir4N/9El+GX/hL2P8A8ao/4Yq+
												Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/gjf8Axr6t/wCG
												Kvg3/wBEl+GX/hL2P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/wRv8A40f8RI/7
												NP8A0EPGH/gjk/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S9j/8aoA+Uv8AiJI/
												Zpx/x/8AjD/wRv8A40f8RJH7NOf+Qh4w/wDBG/8AjXjv/BVHS/CPwi/bQ+Huk+E/h98PdN0XwPpt
												p4j8R2cPhixEerR6hfyWkKSfuuiCzuGA/wBo+1foVZfsa/BfULKG4h+E/wAMXinRZEYeF7HDAjIP
												+qr2MwyerhMLh8XNpqsm0l0s7Wfm1Z+jM41FKTiuh8rn/g5I/ZpH/MQ8Yf8Agkf/ABo/4iR/2af+
												gh4w/wDBG/8AjXjf/BVr4T/D/wAO/Hmz0PQ/AngrR7fTtPjeVLHQ7W38x3y2W2IM/KR19K+vv2LP
												2cPhH8VP2ZfCesXvwr+GtzeyWYhuJX8MWTNJIhKMSfK6kg1+d5XxbQxubV8phFqVLrfR2aT+5s/Q
												s74AxeWcP4TiCrNOGIekbO8bptNvZ3SueS/8RJH7NP8A0EPGH/gjf/Gj/iJI/Zp/6CHjD/wRyf41
												9W/8MVfBv/okvwy/8Jex/wDjVH/DFXwb/wCiS/DL/wAJex/+NV9YfAnyl/xEj/s0/wDQQ8Yf+CN/
												8aP+Ikf9mn/oIeMP/BG/+NfVv/DFXwb/AOiS/DL/AMJex/8AjVH/AAxV8G/+iS/DL/wl7H/41QB8
												pf8AESP+zT/0EPGH/gjf/Gj/AIiR/wBmn/oIeMP/AARv/jX1b/wxV8G/+iS/DL/wl7H/AONUf8MV
												fBv/AKJL8Mv/AAl7H/41QB8pf8RI/wCzT/0EPGH/AII3/wAaP+Ikf9mn/oIeMP8AwRv/AI19W/8A
												DFXwb/6JL8Mv/CXsf/jVH/DFXwb/AOiS/DL/AMJex/8AjVAHyl/xEj/s0/8AQQ8Yf+CN/wDGj/iJ
												H/Zp/wCgh4w/8Eb/AONfVv8AwxV8G/8Aokvwy/8ACXsf/jVH/DFXwb/6JL8Mv/CXsf8A41QB8pf8
												RI/7NP8A0EPGH/gjf/Gj/iJH/Zp/6CHjD/wRv/jX1b/wxV8G/wDokvwy/wDCXsf/AI1R/wAMVfBv
												/okvwy/8Jex/+NUAfKX/ABEj/s0/9BDxh/4I3/xo/wCIkj9mn/oIeMP/AARv/jX1b/wxV8G/+iS/
												DL/wl7H/AONV4p+yP+yV8Ktb+Jf7QEN78Mvh7eQ6X8SDaWaT+HbORbSH+wdGk8qMGMhE3ySNtXA3
												OxxkmgDz3/iJH/Zp/wCgh4w/8Eb/AONH/ESP+zT/ANBDxh/4I3/xr6t/4Yq+Df8A0SX4Zf8AhL2P
												/wAao/4Yq+Df/RJfhl/4S9j/APGqAPlL/iJH/Zp/6CHjD/wRv/jR/wARI/7NP/QQ8Yf+CN/8a+rf
												+GKvg3/0SX4Zf+EvY/8Axqj/AIYq+Df/AESX4Zf+EvY//GqAPlL/AIiR/wBmn/oIeMP/AARv/jR/
												xEj/ALNP/QQ8Yf8Agjf/ABr6t/4Yq+Df/RJfhl/4S9j/APGqP+GKvg3/ANEl+GX/AIS9j/8AGqAP
												lL/iJH/Zp/6CHjD/AMEb/wCNH/ESP+zT/wBBDxh/4I3/AMa+rf8Ahir4N/8ARJfhl/4S9j/8ao/4
												Yq+Df/RJfhl/4S9j/wDGqAPlL/iJH/Zp/wCgh4w/8Eb/AONH/ESP+zT/ANBDxh/4I3/xr6t/4Yq+
												Df8A0SX4Zf8AhL2P/wAao/4Yq+Df/RJfhl/4S9j/APGqAPlL/iJH/Zp/6CHjD/wRv/jR/wARJH7N
												P/QQ8Yf+CN/8a+mvGv7F/wAHbfwbq0kfwn+GkckdlMysvhiyBUhDgg+VXnP7BX7Inwn8S/sMfBfU
												tS+F/wAO9Q1DUPAmh3N1dXPhyzlmuZX0+Bnkd2jLMzMSSxJJJJNAHlf/ABEj/s0/9BDxh/4I3/xo
												/wCIkf8AZp/6CHjD/wAEb/419W/8MVfBv/okvwy/8Jex/wDjVH/DFXwb/wCiS/DL/wAJex/+NUAf
												KX/ESP8As0/9BDxh/wCCN/8AGj/iJH/Zp/6CHjD/AMEb/wCNfVv/AAxV8G/+iS/DL/wl7H/41R/w
												xV8G/wDokvwy/wDCXsf/AI1QB8pf8RI/7NP/AEEPGH/gjf8Axo/4iR/2af8AoIeMP/BG/wDjX1b/
												AMMVfBv/AKJL8Mv/AAl7H/41R/wxV8G/+iS/DL/wl7H/AONUAfKX/ESP+zT/ANBDxh/4I3/xo/4i
												R/2af+gh4w/8Eb/419W/8MVfBv8A6JL8Mv8Awl7H/wCNUf8ADFXwb/6JL8Mv/CXsf/jVAHyl/wAR
												I/7NP/QQ8Yf+CN/8aP8AiJH/AGaf+gh4w/8ABG/+NfVv/DFXwb/6JL8Mv/CXsf8A41R/wxV8G/8A
												okvwy/8ACXsf/jVAHyl/xEj/ALNP/QQ8Yf8Agjf/ABo/4iR/2af+gh4w/wDBG/8AjX1b/wAMVfBv
												/okvwy/8Jex/+NUf8MVfBv8A6JL8Mv8Awl7H/wCNUAfKX/ESP+zT/wBBDxh/4I3/AMaP+Ikf9mn/
												AKCHjD/wRv8A419W/wDDFXwb/wCiS/DL/wAJex/+NUf8MVfBv/okvwy/8Jex/wDjVAHyl/xEj/s0
												/wDQQ8Yf+CN/8aP+Ikf9mn/oIeMP/BG/+NfVv/DFXwb/AOiS/DL/AMJex/8AjVH/AAxV8G/+iS/D
												L/wl7H/41QB8pf8AESP+zT/0EPGH/gjf/Gj/AIiR/wBmn/oIeMP/AARv/jX1b/wxV8G/+iS/DL/w
												l7H/AONUf8MVfBv/AKJL8Mv/AAl7H/41QB8pf8RI/wCzT/0EPGH/AII3/wAaP+Ikf9mn/oIeMP8A
												wRv/AI19W/8ADFXwb/6JL8Mv/CXsf/jVH/DFXwb/AOiS/DL/AMJex/8AjVAHyl/xEj/s0/8AQQ8Y
												f+CN/wDGj/iJH/Zp/wCgh4w/8Eb/AONfVv8AwxV8G/8Aokvwy/8ACXsf/jVH/DFXwb/6JL8Mv/CX
												sf8A41QB8pf8RJH7NP8A0EPGH/gjf/Gj/iJI/Zp/6CHjD/wRv/jXrnwp/ZC+E97+0t8WLOb4X/Du
												a0sv7H+zwP4bs2jt91qxbYpjwu48nHU16j/wxV8G/wDokvwy/wDCXsf/AI1QB8pf8RI/7NP/AEEP
												GH/gjf8Axo/4iR/2af8AoIeMP/BG/wDjX1b/AMMVfBv/AKJL8Mv/AAl7H/41R/wxV8G/+iS/DL/w
												l7H/AONUAfKX/ESP+zT/ANBDxh/4I3/xo/4iR/2af+gh4w/8Eb/419W/8MVfBv8A6JL8Mv8Awl7H
												/wCNUf8ADFXwb/6JL8Mv/CXsf/jVAHyl/wARI/7NP/QQ8Yf+CN/8aP8AiJH/AGaf+gh4w/8ABG/+
												NfVv/DFXwb/6JL8Mv/CXsf8A41R/wxV8G/8Aokvwy/8ACXsf/jVAHyl/xEj/ALNP/QQ8Yf8Agjf/
												ABo/4iR/2af+gh4w/wDBG/8AjX1b/wAMVfBv/okvwy/8Jex/+NUf8MVfBv8A6JL8Mv8Awl7H/wCN
												UAfKX/ESP+zT/wBBDxh/4I3/AMaP+Ikf9mn/AKCHjD/wRv8A419W/wDDFXwb/wCiS/DL/wAJex/+
												NUf8MVfBv/okvwy/8Jex/wDjVAHyl/xEj/s0/wDQQ8Yf+CN/8aP+Ikf9mn/oIeMP/BG/+NfVv/DF
												Xwb/AOiS/DL/AMJex/8AjVH/AAxV8G/+iS/DL/wl7H/41QB8pf8AESR+zT/0EPGH/gjf/Gj/AIiR
												/wBmn/oIeMP/AARv/jXqn7On7Inwn1X4v/Hq3uvhf8O7mDTfHdrbWccvhyzdbWI+GdBlMcYMeEUy
												SyPtGBukc9WJPrP/AAxV8G/+iS/DL/wl7H/41QB8pf8AESP+zT/0EPGH/gjf/Gj/AIiR/wBmn/oI
												eMP/AARv/jX1b/wxV8G/+iS/DL/wl7H/AONUf8MVfBv/AKJL8Mv/AAl7H/41QB8pf8RI/wCzT/0E
												PGH/AII3/wAaP+Ikf9mn/oIeMP8AwRv/AI19W/8ADFXwb/6JL8Mv/CXsf/jVH/DFXwb/AOiS/DL/
												AMJex/8AjVAHyl/xEj/s0/8AQQ8Yf+CN/wDGj/iJH/Zp/wCgh4w/8Eb/AONfVv8AwxV8G/8Aokvw
												y/8ACXsf/jVH/DFXwb/6JL8Mv/CXsf8A41QB8pf8RI/7NP8A0EPGH/gjf/Gj/iJH/Zp/6CHjD/wR
												yf419W/8MVfBv/okvwy/8Jex/wDjVH/DFXwb/wCiS/DL/wAJex/+NUAfKX/ESR+zT/0EPGH/AII3
												/wAaP+Ikf9mn/oIeMP8AwRv/AI16p4O/ZE+E9x+3P8RtNk+GHw7fT7XwJ4VuYLVvDlmYYZZNQ8Rr
												JIqeXhWdYogzAZIiQHO0Y9Z/4Yq+Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f
												8RI/7NP/AEEPGH/gjf8Axr6t/wCGKvg3/wBEl+GX/hL2P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv
												+Ikf9mn/AKCHjD/wRv8A40f8RI/7NP8A0EPGH/gjf/Gvq3/hir4N/wDRJfhl/wCEvY//ABqj/hir
												4N/9El+GX/hL2P8A8aoA+Uv+Ikf9mn/oIeMP/BG/+NH/ABEj/s0/9BDxh/4I3/xr6t/4Yq+Df/RJ
												fhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S9j/8aoA+Uv8AiJH/AGaf+gh4w/8ABG/+NH/ESP8As0/9
												BDxh/wCCN/8AGvq3/hir4N/9El+GX/hL2P8A8ao/4Yq+Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn
												/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/gjf8Axr6t/wCGKvg3/wBEl+GX/hL2P/xqj/hir4N/9El+
												GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/wRv8A40f8RI/7NP8A0EPGH/gjf/Gvq3/hir4N/wDRJfhl
												/wCEvY//ABqj/hir4N/9El+GX/hL2P8A8aoA+Uv+Ikf9mn/oIeMP/BG/+NH/ABEj/s0/9BDxh/4I
												3/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S9j/8aoA+Uv8AiJH/AGaf+gh4w/8A
												BG/+NH/ESP8As0/9BDxh/wCCN/8AGvq3/hir4N/9El+GX/hL2P8A8ao/4Yq+Df8A0SX4Zf8AhL2P
												/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/gjf8Axr6t/wCGKvg3/wBEl+GX/hL2
												P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/wRv8A40f8RI/7NP8A0EPGH/gjf/Gv
												q3/hir4N/wDRJfhl/wCEvY//ABqj/hir4N/9El+GX/hL2P8A8aoA+Uv+Ikf9mn/oIeMP/BG/+NH/
												ABEj/s0/9BDxh/4I3/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8Ahir4N/8ARJfhl/4S9j/8aoA+Uv8A
												iJH/AGaf+gh4w/8ABG/+NH/ESP8As0/9BDxh/wCCN/8AGvq3/hir4N/9El+GX/hL2P8A8ao/4Yq+
												Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f8RI/7NP/AEEPGH/gjf8Axr6t/wCG
												Kvg3/wBEl+GX/hL2P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv+Ikf9mn/AKCHjD/wRv8A40f8RI/7
												NP8A0EPGH/gjf/Gvq3/hir4N/wDRJfhl/wCEvY//ABqj/hir4N/9El+GX/hL2P8A8aoA+Uv+Ikf9
												mn/oIeMP/BG/+NH/ABEj/s0/9BDxh/4I3/xr6t/4Yq+Df/RJfhl/4S9j/wDGqP8Ahir4N/8ARJfh
												l/4S9j/8aoA+Uv8AiJH/AGaf+gh4w/8ABG/+NH/ESP8As0/9BDxh/wCCN/8AGvq3/hir4N/9El+G
												X/hL2P8A8ao/4Yq+Df8A0SX4Zf8AhL2P/wAaoA+Uv+Ikf9mn/oIeMP8AwRv/AI0f8RI/7NP/AEEP
												GH/gjf8Axr6t/wCGKvg3/wBEl+GX/hL2P/xqj/hir4N/9El+GX/hL2P/AMaoA+Uv+Ikf9mn/AKCH
												jD/wRv8A40f8RI/7NP8A0EPGH/gjf/Gvq3/hir4N/wDRJfhl/wCEvY//ABqj/hir4N/9El+GX/hL
												2P8A8aoA5z9ib/goX8Nf2/8AQ9dvvh3qF7dDw3LDFfw3lsbeaDzg5jYqedreXIAfVD6V7hX5T/8A
												Bt9Yw6Z8ff2tba2hit7a38QabFFFEgRIkW51gKqgcAAcADgV+rFABRRRQAUUUUAFFFFABRRRQAUU
												UUAFFFFAH5Wf8Gq3/JuvxT/7GO3/APSYV+qdflZ/warf8m6/FP8A7GO3/wDSYV+qdABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
												UUUUAFFFFABRRRQAUUUUAFFFFABRRQTgUAfj5+3/AOIW+IX7Vf7Rl0v7xvDNnYaCh6kNa2bagFH0
												N9n6tX6d/sceLX8efsj/AAv1qRt02qeE9LupTnpI9pEXB9wxIPuK/KfWb7/hYvxB+PGsqRJ/wk3i
												u9bd1Enl2Fra/wDtDH4V+iH/AASQ8XN4x/4J3fDi6b/lzt7zTOucC0vri2H6Q1+xceUYQyLCQSSc
												HBP50Y3/ABi2efhW/av+up8R/wDBRjU5PF/7YHix41aT7HthbH8IijCn8tpr7L/4JLa+NT/Zdjs9
												2Tp17MnXpudm/rXyB4j0lviX+158WAw8xYxrwQ9cbBOEP5gV9Hf8EYtXM3wx8XWbNkw6lG6DPQGM
												Z/Wv4Y4OnKPFssQ3pWdb8G3+h/ZHiJGnU8P4YNLXDRwz/wDAopfqfaVFFFf0KfyOFFFFABRRRQAU
												UUUAFFFFABRRRQAV4R+xp/yVP9o7/sp5/wDUe0Ovd68I/Y0/5Kn+0d/2U8/+o9odAHu9FFFABRRR
												QAUUUUAFFFFABRRRQBleOv8AkSNY/wCvGf8A9FtXmX/BO/8A5R//AAM/7J9oH/ptt69N8df8iRrH
												/XjP/wCi2rzL/gnf/wAo/wD4Gf8AZPtA/wDTbb0AexUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
												UUAFFFFABRRRQAUUUUAFFFFAHkvwf/5Om+MX/cF/9JHr1qvJfg//AMnTfGL/ALgv/pI9etUAFFFF
												ABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8AJav2iP8AsoNp/wCop4er2KvHf2Zf+S1ftEf9lBtP
												/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94R/wDTl4nr2KvHfBP/ACkA+Jv/AGT7
												wj/6cvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
												FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wbmf8nFftd/9jHp3/pTrFfqnX5Wf8G5n/JxX7Xf/
												AGMenf8ApTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/Bqt/wAm6/FP/sY7f/0mFfqn
												X5Wf8Gq3/JuvxT/7GO3/APSYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFDNtXJ6DmivHf2+P2i7X9lb9k/xh4zuJAsmnWZS2XPzSTOdqKPfJ/StaFGdapGlT
												V5SaSXdsqnHmkorqea+GP+Cw/wAI/Fn7W9x8G7W51T/hJrfVZNG89rfFnJco+wor55+bI+or3748
												/GjSf2ePg94h8ba4ty+k+G7GW/uhbpvkMcalm2jucCvwo1/4E6H4K/4JneE/i9pvi/w1/wALiPiF
												/FF4ItXgOqJHJI4UFA2/cAqSFcZBY1+oX7W/xwsf2jv+CNXi7xpp7L5XiPwFJfOgOfJkez3PGfdW
												JU+4r9C4k4PwuBdF4WUpLndKo3b44tax0XuyV7b7bnHgcQq+JjF/BPWPe17a+drP0Z1/i3/gqV8O
												fBv7Hmm/G26h1s+EdUmjhhRLXNyDIwC5TPuK9+8CeMbX4g+DtN1uxEi2mqQLcRBxhgrDIyK/G39o
												Dj/g3R8F/wDX/Zf+jY69I+L9l+1B+zh+xl4Z+Nlr8WCtnoFpaSXvhG3t0SwFqSV6kFmbcyAjI457
												U8y4JoQcqeGqJS+sOjHne/RbLe+72MMLiqlSlRm1dzhKTS7prb5fjY/WCivzQ/4KR/8ABQfxpc/s
												C/B/4k/D/wAQaj4RvPGGqxR3jWm0M68q6HcD8u5TXa/8Flf2mPHvwE/ZX+Hes+DfFGpeHtV1TU7e
												G7ubUrvnRhFkHcCOcn86+cp8KY6UqcWknUqSppN/ahbmv2WqOmGKhO3L1g5r0V/x0Z99UV+Yf/BV
												L9sD4w/Bz4zfs96Z8O/Fdxp954uttPWezl2m11O5lmCDzwRnaxIDYI4zXE/HX4r/ALT37GP7ePw/
												+HEHxgl8cv8AFDy7a2Gq2kYtbBpZhGWCKAcpnI57V2YPgnHYlUuScE6vO4pys7U/ib008u+oVMTC
												Eed7cqn8m2l89D9cq8puv2tNItv2oIvhX/YfiVtWls/to1EWDf2aFwTtM3Tdx0r4d8KfGj43fsS/
												8FOfh/8ADPx18T774meG/iPZvkX0KR/YJMu2YwqjkFAATnIc12mt/tO+P4f+C62n/DhPFOpL4Fk8
												Ni8bRfl+zNLsc7+m7OQO9YU+E8W1Ga5ZRlSnVTT05YNp9N009PxM62KUITumnHl/8mtb87H6CUZr
												8rrT4zftBfH/AP4KpfF74T+FfihfeG/C1hDEI5HijmOjq1rE4MCkfeLFjkk16H/wS7/aa+Kel/ts
												/Fj4D/EzxVdeOZPBs5lstXukUTuhAK52gAKY9rY7FjU1OE8ZCh7Zyi/3Ua1k9eSSTTtbezu10Rc8
												VCMpx/lkoP1ex+h1FFFfLnSFFFFABRRRQAVBqd6mm6bcXEh2x28TSMfQAEn+VT1xv7Revf8ACK/s
												+eO9U3bf7N8PahdZzjGy2kb+lbYal7StCn3aX3sUnZXPyA/ZoWS6+GFxeXHzT6lrmr3Ex/vZ1C4V
												f/HFWvvH/giRdNbf8E6dPsmYl9I8S+J4T7Btbvp1H4LKtfDX7OsXlfBnRWbrcLLc/XzJnk/9mr7N
												/wCCMF+Yv2VviXp5P/IF8darCB/dElpaXX/txn8a/bPELBpZTXu/4c4/+3R/I4MDK9aK7nk/7HWj
												Dx1+038UJ2XzPMj1B856+Y8o/rXcf8EYtWK6t4vsc8Miz4+hUf1rI/4JEWy+I/i38QLyRdyyWKtk
												998rZqv/AMEhJG0T9oTxRpsjf8wx1xn+JZU/oDX8EcL2VfK8X1nOsvvbP7G48u6Ge4DpTpYV/ckf
												ovRRRX9Cn8khRRRQAUUUUAFFFFABRRRQAUUUUAFeEfsaf8lT/aO/7Kef/Ue0Ovd68I/Y0/5Kn+0d
												/wBlPP8A6j2h0Ae70UUUAFFeV/ts/tFr+yd+yx4y+ILQi4k8O2avDGRlXmklSGMH23yLn2r86vCv
												xT/ak0H9jm8/acm+KE2raffK94nhCaBGtILOUhEkQhdwdGK4Gema9zLeH8RjaP1iEoxjzqCcna8m
												r2Wj2Vm/VEzbjypK7ldJelr/AJo/Wmivin9hP9r+T4O/8E6vD/xS+PHjm8m/4Sq/lmF9fpvNsHZk
												jgURr93ELMOP4jXfD9rPwv8A8FCPgf488P8AwI8fRN4ot7DyEv4o3hOnSSq4jfLL6gnj0rHGZPiM
												LiqmGqr+HJxlJXcU07PW3RmdGtCcVO9k9vPW1169DpPE/wDwUM+Hfhr9rLRfgyL24vvGGs5Gy2Tz
												IbVgM7ZW/hb2r3Svxr8DfsWWP7Ev/BZH4L6HDreqeJNU1a2a91XUr+YySXdyV+eTJ5GSScEnrX7K
												V6nE2T4LAxw08DUc41IczbVru7Tsui063ZjRrVJV6lOaso8tu+sU9fvCiiivlTsMrx1/yJGsf9eM
												/wD6LavMv+Cd/wDyj/8AgZ/2T7QP/Tbb16b46/5EjWP+vGf/ANFtXmX/AATv/wCUf/wM/wCyfaB/
												6bbegD2KiiigAooooAKKKKACiiigAor4F/4Kw/thfETw9+0j8LfgL8Lda/4RfxF8Q1F1dayqgy2k
												TSvGmzII/wCWUxPHYV4r8Y/i5+0h+zv+2N8Lv2f9Q+KGqeILfxNqVpqR8TJCkd7dWk03lyQSfLtw
												jRSYwM7WFfVZfwjjMZGm6cop1IznFN2bjDVvbydu9n2Ma1ZUr83RJvyT0X3vT5o/WSvA/wBrn/go
												78O/2OPEWl6F4hm1PUvE2tAPaaPpVq11eSpzlwi9hg1F8dv+CnvwT/Zh+IE3hLxx41t9F8QWcUcs
												1q9vK7KrqGU5VSOQc1J4zsfgTZ2tr+0vrVnofnaXpQvrTxRc7hLFbGNguwMcZZZCoAXcS+ByRXj4
												PCxVRPFU5uMrpcujculm09L72uzTn+yvitovu/QT9kr/AIKP/Dv9sLxTqXh/QJdT0vxNpcbT3Gj6
												tata3iRggF9jdvmX869+r8of+Cc3iHUv26f+Cw3in496Hot5pfgHStKn0+C7eIwreu0YhRT2djlm
												PJxsGe1fq9XqcU5LTyzEU6EG+Z04ylF6uEne8Xa3Sz8r2OfD1nUlUXSMrJ91ZN/c218gooor5k6g
												ooooAKKKKACiiigDyX4P/wDJ03xi/wC4L/6SPXrVeS/B/wD5Om+MX/cF/wDSR69aoAKKKKACvl/9
												oz/grR8L/wBnX4o3ng2ZfEHibxHpaGTUbPQ7Brx9PXAOZNv3eo+ma+npjiFvpX49/sJeM/F3hL9o
												L9qfxR4O8Hx+PfGo1ae2gtZZFV3jkuFDkluqr94r324r6TIMpo4yniata/7qCaSaV25KKu2nZK92
												Z1qns4xdr80ox++939yP05/ZX/a48E/ti/DmPxL4J1IX1pkJcQuuya0k7pIp5VhyPwNem1+ZP/BA
												rxF4H+G/wu+K2o3WtXVn4tinfVfFWlXUBh/shIPNL7I+pVdzAkDsPUV9V/CP/gqf8Dv2iPiBa+Df
												Bvjm11TxNqgkW0tVtpULsqljyygcAE/hVcTZD9QzKthcLGUoU7atXdrXvdK1uz2a1McLX56blN6K
												TV9tn17Puje/bL/b7+H/AOw1o2j3PjO8uPtGuXK21pZ2iebcPnI37euwEYz617Homqx67o9rew7v
												KuollTI5wwyK/FL/AIK+fsE6z8GfDFn8U/HHjLVvFXjHxN42NvbpLOWttN09ndoYEXp8qqOgHU/U
												/s78N+Ph/ov/AF5Rf+giujOciwWFynDY7C1XUlUlOMtLRTiouy66c2/Xsg9tL6yqVrLlv5vWxtUU
												UV8idQUUUUAeO/sy/wDJav2iP+yg2n/qKeHq9irx39mX/ktX7RH/AGUG0/8AUU8PV7FQAV8z/tL/
												APBVn4Y/sz/E2Twbd/254k8UWsRnvdO0Oxa8msYwAd0gX7o5H519LTHELfQ1+QX7IPi/xT4X/bm/
												aq8VeE/Ca+PPG1mq29jZSSKrzJJcQLJ8zfwqo3le+zFfRcP5TRxkMTUrXtSp8ySaV25Rik207L3r
												szrVPZwUrXvKMfv6/cj9K/2Tv2yPA/7ZvgJ9f8Fak11HbSeTeWsyGO4spOfkkQ8qeD+Rr1KaZbeF
												pHYKqAsxPYCvzH/4II634T8IXXxu1DUtSutN8fXl+t/4l0O4g8hdJjha6f8Adp/EoMkgJA7L6ivq
												r4Zf8FUfgF+0J49tfBPh/wAb2ura1rTtaw2S20yGY4OVyVAHGe9bcS5CsDmdXCYSMpQhZ3au7OKd
												7pWtvZ7NamOGr80HOb0Umr7ddL9n5HFfEj/gtv8ACXwH418QaPZ2Pi7xQnhmd7bUb7RtLe5tLeRO
												HUuOPlOQe3FfSfwF+Pnhf9pT4aaf4t8H6nDqui6km6KWPsRwVYdiDkEe1fKP7avxu+CH/BJP9njX
												tJ8NeHdD0/XPFwlkt9Dth5r38zqV82YMS3l/Lgk8cU7/AIIJfs5eJP2fv2IrFvE1tdafeeJp21OK
												zuNyyW8TklMofullIJHXJ55rqxGSYN5PUzSmpwSlCMOZp891Lnskl8LSd7tWdnqTWrThWp01Z83N
												ddVFWs3+Xqfb1FFFfGnYeO+Cf+UgHxN/7J94R/8ATl4nr2KvHfBP/KQD4m/9k+8I/wDpy8T17FQA
												UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRXwN+2X+0X8RP2Qv+Cmnw11G+8Tak/wAH
												fHQXTbnTpWX7HZ3TB492duRj5ZPvVd/4KE/tG+O/Gf7afwo+Bfwt8Tal4e1bUNRh1PxNdWDKrw6c
												vzSoxYHGYzuHHJAr36HDeKreycHHlqRlJO+kVH4uZ20a0+9dzKpWUHNS+ylL1T0Vvnp6n3ZRUOnw
												Pa2MMckjSyRoFZ26uQOp+tTV4BpF3VwooooGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5W
												f8G5n/JxX7Xf/Yx6d/6U6xX6p1+Vn/BuZ/ycV+13/wBjHp3/AKU6xX6p0AFFFFABRRRQAUUUUAFF
												FFABRRRQAUUUUAflZ/warf8AJuvxT/7GO3/9JhX6p1+Vn/Bqt/ybr8U/+xjt/wD0mFfqnQAUUUUA
												FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXwv/wWU/Zm+Lf7Zj+BPh74
												K0Ca48D3V4t34k1UXttElvh/kXY8iyMVCk/KpHzj0OPuiivSyfNKmXYynjqUVKUHdc12rrZ6NbBK
												7jKKdrpq/VX0uvM/Pu5/4NuvgCbJ1jk8XCbYQrHUzjPrjFed/srfsb/tBfD7/gnF8aPgn4m8DXBu
												LjTr6DwrONXsnj1AyK6iNQJj5e5m3DzNoA64r9SKK9tcbZpPDzw2Kn7WMnFrnu3Fxd04u6tfZ90Y
												Rw9OE6dSCs4O6f4Wfk+vXsz8vfjD/wAE+/jB4o/4IseGPhTY+DpLjx9p95ayz6V/aNmpjVHQsfNM
												oiOAD0ftTvjX8Gf2vPi3+yNofwBuvhzov2O8itoNV8Yx6/atCluhLGNoGYSbwyxksoYY4Gckj9QK
												K61x3inUdSpRpyftXWV1LSfRq01onqk7rvcinhVTpwhTbThFxT0vZ79LX+R8D/t+/wDBLzxB8Qv+
												Cd/gv4d/Dv7Nea98PZ4by2tXkWFb9lVjIqs5Cqxc5G4gYzk14p+2z8Af2tf24PgN4B0S++D1n4b/
												AOEPvYlu7MeJLG4udSKrFm5BEgjRAVb5d5bOeMYJ/WOiscv42xmFUXKnCpKM5VIuSldSlpL4ZRTT
												807dLBLB0+WMY6Wi4XX8r6a9t09+90fnP/wUH/Yd+Kfxq/aS/Zr17wx4Uk1TSfAc2ktr1wL+1i+w
												CG5R5crJKrPtUE/IGz2zXSft3/sdfEj4wf8ABUP9n/4heG/DUmpeD/BdzC+s6gL22iWyVbgOf3by
												LI3y8/IrV96UVjhuMcZQnRnCMf3SmldPVVL3vr0vpa3ncK2FhVpulK9nCMPlF3Xzu9fyPg39tb9j
												z4kfFf8A4Kn/AAQ+Inh/w1JqHg3wjE66tqIvbaMWhO/rG8gkbqPuqaTVv2OviRc/8Ft7H4sJ4akb
												4ew+HRYvq32222iba42eV5nm9xzsx71950Vnh+LcXSowoxjG0KU6S0fw1G5NvXdN6dO6ZWIwsazm
												5faUU/8Atza36nwh+yx+x98Rvh3/AMFZ/jB8SdY8NvZ+CvE0Nuumakby3cXRW3RG/drIZFwwI+ZR
												Uv7Mf7IXxF8Af8Ff/jJ8TtX8NvZ+BvFEcS6XqZvLdxdEQIh/drIZV+YEfMg6V91UVM+KsVLeMf4M
												aGz+GMVFPf4rLV7X6CnhYyc22/fmpv1TT08tP+CFFFFfMnSFFFFABRRRQAV5D/wUAv8A+zv2F/jF
												IrbHfwXq8KMOzPZyov6sK9erwD/gqXq/9i/sA/EyTOPtGmpaf9/p4ov/AGevSyePPj6Ee84/+lIm
												p8LPzr+Dtn/Z/wAJvC8O35o9KtQ318pc/rX07/wSl1hdA+Ef7R9v0MPjk3iAdkfw5oq/+ho/5186
												+ELb7D4T0uDp5NnCn5Ior1P9g3xP/Yej/tN2O7a0YsNTx7SWMMOf/IBH4V+yeI1S+RZhW7e9/wCT
												f8ExyOl7TH0KfeSX3tHa/wDBF/T8XfjO6/vRRRZ+hz/WsL/gnuv/AAjv7fHiTT/u7hdw49duW/pX
												c/8ABGGxx4I8WXP969EX5Ih/rXC/syv/AGF/wVe1mx6eZqeqRYH+zBO3/stfwTllP2OXZHP/AKfN
												f+BSP66zup9Zzjiil2w6f/gEUfotRRRX9AH8mhRRRQAUUUUAFFFFABRRRQAUUUUAFeEfsaf8lT/a
												O/7Kef8A1HtDr3evCP2NP+Sp/tHf9lPP/qPaHQB7vRRRQB53+1n8A7f9qH9nHxd4CupVt08SWJt0
												lZdywyqyyRuR6B0U/hX59eGP2W/2qLz9j3VP2ZbzwNpNj4dtg9ta+OZNbt2huLONleOJLZWMoZ2A
												5YDAzmv1Jor3sp4grYGjKgoRnFyUkpJ+7NbSVmtbaWd0+qJqRcuVp2cW2mul7X3utbLp6HyX+xD+
												yLeeKP2B/Dfwx+PHgWxnm8NXEkIsL6SC7huFR3aKcGJ3XpIwwSCMHIFe2fAX9kT4a/swSag/gHwf
												ovhZtWCC7NhAI/PCZ27vXG4/nXpFFYY/PMZi6lac5tKrJylFNqLk3du17b6mdPD04RUEtI7eSvdJ
												eS6HxD+0X+yX8QvHP/BXP4U/EzS/Dr3Xgnw5ZtFqOpi8t0W2YgYHltIJG/4Cpr7eoorLHZpVxVKj
												RqJJUo8qtfVXb11et30sUqaVWVXrK1/+3UkvwQUUUV5poZXjr/kSNY/68Z//AEW1eZf8E7/+Uf8A
												8DP+yfaB/wCm23r03x1/yJGsf9eM/wD6LavMv+Cd/wDyj/8AgZ/2T7QP/Tbb0AexUUUUAFFFFABR
												RRQAUUUUAfEP/BUr9iDx98Vvjh8MPjV8K7W01fxj8M2ZH0eWdLZtVh8wSKqSyEIpG6UfMQPn9q8f
												+LH7M/7S/wC0D+2X8L/j7qfw7tfDc3he9tdNn8KRa5aXVxaWUM5ke5abesTbzLIdqksAoGM1+n1F
												fWZbxhi8HSp04U4SdNSjGUk3JRmmpR0klZ3e6uujRhWw8at+bqkn5par7nqrW1SvdaHjfxb/AOCf
												/wAG/j94yk8SeNPh54b8Qa9cxpHNeXlsJJXCKFUE+wGK+Df+Cs37Gvx+/aA+J3hbwb8O/hlf3vwS
												8HwW0a6bZa9Y2EOo7GyyhZJlZcKNqkqcZzg4r9VqK58l4oxmXYiniFaoqd+WM3Jxi31SUlZrpZ9S
												5U4yi092rX629fkfIf7A3iX4s+A7/Q/AOp/sz2/wo8B2dtIG1SHxTYXywOqFlBhhYuxdsDPbOTX1
												5RRXnZtmSx2IeI9lGm3vyubu7tuTc5Td3e29tFpe94w9BUY8iba6baeWiXrrd3b1CiiivMNwoooo
												AKKKKACiiigDyX4P/wDJ03xi/wC4L/6SPXrVeS/B/wD5Om+MX/cF/wDSR69aoAKKKKAGz/6lvpX4
												z/8ABO/xD8V/AX7af7QHiD4Z+G7Dx19k1e5hvPDc2oJp817umAWSKaT92rJwSGIyoIHOK/Zll3qR
												614x+zf+wf4F/ZY+JHi/xV4X/tn+1PG1y11qP2u6Ese9m3HYoUbRn3NfU8O51QwFDFwrR5nUgopN
												OzanGTTs00rJ6pp9jnxlJ1acIrpOMvkr/wCZ80f8EyP+Ce3jjwp8bvi18V/i9odjoOofFKK7sn8M
												pcx3awW9xMskokeNmjOQgUYJyCc46V9L/C3/AIJ3/BT4KeO7TxP4V+HPhnQ9esSxgvbW1CSxbgVb
												B9wSPxr2iisMy4ozDGVpVed01KKjywbUeVKyja7bSWnvNt9WVGhFKSl73NJyd/5n17HxX/wW3/ZU
												8fftY/Afwlo/w98Pv4h1LTfEcF/cwrd29t5UKqwL5mdAcZHAOfavsDwRp82k+DtLtbhPLuLe1jjk
												XIO1goBGRxWpRXDWzarUwFPLpJclOUpJ63vK1762t7qtoVKmnVVXqly/K9woooryzQKKKKAPHf2Z
												f+S1ftEf9lBtP/UU8PV7FXjv7Mv/ACWr9oj/ALKDaf8AqKeHq9ioAbN/qW/3TX42/sW618UfBP8A
												wUr/AGgfEXwz0Gw8aT6bM6Xvhqe+Wxk1RHkiUNFNJ+7R42w/zkAqHAOSAf2UZdykevFeL/AT9g7w
												L+zh8afGHj3w7/bX9veOG3al9qulkhzkH5FCgryB1Jr6jhvOqGX08Wq0eb2lPlSadm+eMrSs00mk
												9U0+1tznxlN1aMYLdTjL5K9/zPmf/gm7+wX8QtN/al+Knxq+LmgWXhS+8fo9lD4biu4rzy4ZP9aZ
												HiZoyCAijByfnyBxn6E0L/gnj8HPgnq7eLPBfwr8N23izS1eewltLdIpjNg42sxABOepIr3yiscw
												4ox+KrOqpezTiocsHJR5Iqyju21Zvdt6vUqnRiubm97mlzO/V+miPxZ8F/saftPaj+2drnxg+Jv7
												Os/xKur65kudP0298W6XHb6cS+Y1AMzBljUBQMAcZr9Vf2VviZ8RPid4Lubr4jfDU/DHU7eby4NP
												/ti31Pzo8ff3wkqPoa9RorqzziyeaUIUa2Hpx5EoxcedWS6JObjr1fLdkrDpVXVTd27vbXy2vZfo
												FFFFfJnQeO+Cf+UgHxN/7J94R/8ATl4nr2KvHfBP/KQD4m/9k+8I/wDpy8T17FQAUUUUAFFFFABR
												RRQAUUUUAFFFFABRRRQAUUUUAFFFFAHzX/wVl/Zsh/aX/Yk8Yaaixx6xpNqdT0uduGhnhIkGG6jd
												twcdjXzj/wAEO9E1T9pvxt41/aO8YtDceIPEwGkWIB3fZ4IdqN16HMWOO1fof408JWnjzwnqGi33
												mfY9Ut3tpvLba2xhg4PY8159+yJ+x74Q/Yn+Fkfg/wAF/wBqHSI5pJx9vuBPLudizfMFXuT2r67L
												eIvq2S4nLm3zzceTTaMv4qv05uSn62OfGUXV9lb7Mm35q2i87O7t53PVKKKK+ROgKKKKACiiigAo
												oooAKKKKACiiigAooooAKKKKACiiigD8rP8Ag3M/5OK/a7/7GPTv/SnWK/VOvys/4NzP+Tiv2u/+
												xj07/wBKdYr9U6ACiiigAooooAKKKKACiiigAooooAKKKKAPys/4NVv+Tdfin/2Mdv8A+kwr9U6/
												Kz/g1W/5N1+Kf/Yx2/8A6TCv1ToAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK+X/APgsbeGD
												/gn94rhU4e+1LRbdfcHVrMt/46Gr6gr5D/4LU6v9i/ZO0Ozz/wAhjxlpVpj+9hpJsf8AkHP4V9Bw
												rh/b5xhqf99P7nf9DGvK1Ns+SYkEMaov3VAUfSpP2cNcbRvHP7Ttqpx5nw+0G/UZ7tdalF/7Rpq8
												VgfD/Uv7I+LXxqXO06t8ONIg5/i8u/1Nv/an61+jeIPM+F8w5elKT+7U9DhGl7TPMHT71IL75I+x
												/wDgjJa7Pgn4mmxjdrRUe4EEVeX+AE/sb/gsbI3TzdZ1E/XfZzj+teyf8EebL7P+zjqUuP8Aj41i
												Vs+uERf6V45rJ/sb/gr/AGTf89NY/wDQ4GH/ALNX8S1IcmRZLU7Vqb+9n9MYer7Tiniak/tYeuvu
												SR+i9FFFfuh/LoUUUUAFFFFABRRRQAUUUUAFFFFABXhH7Gn/ACVP9o7/ALKef/Ue0Ovd68I/Y0/5
												Kn+0d/2U8/8AqPaHQB7vRRRQAUUUUAFFFFABRRRQAUUUUAZXjr/kSNY/68Z//RbV5l/wTv8A+Uf/
												AMDP+yfaB/6bbevTfHX/ACJGsf8AXjP/AOi2rzL/AIJ3/wDKP/4Gf9k+0D/0229AHsVFFFABRRRQ
												AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/8Ak6b4xf8AcF/9JHr1qvJf
												g/8A8nTfGL/uC/8ApI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/wDJav2iP+yg2n/q
												KeHq9irx39mX/ktX7RH/AGUG0/8AUU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94R/
												9OXievYq8d8E/wDKQD4m/wDZPvCP/py8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/BuZ/ycV+13/wBj
												Hp3/AKU6xX6p1+Vn/BuZ/wAnFftd/wDYx6d/6U6xX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AflZ/wAGq3/JuvxT/wCxjt//AEmFfqnX5Wf8Gq3/ACbr8U/+xjt//SYV+qdABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABXw//wAF0L4xfCf4J2YP/IS+KlnAR6hdH1eX/wBp19wV8H/8Ftbxb2/+
												A+m/xR+Nn1ID/rnpd/Hn/wAjfrX13Aa/4XsM+zb+5MwxP8Nnz+TmvNtf1r+xPjzrUO5l/tjwcIfl
												PB8qeduf++69Jrwv9oPVf7G/aR8BrnH9q6TqsH18tYm/9nr9A46aXCuat/8AQNW/9IZ7/h7T5+KM
												vh3rU/8A0pH6if8ABJK18j9lON/+e2pXDfk2P6V4D8ZWGjf8FbtGf7vma3YD1++qD9d1fR//AASo
												t/K/Y50Vv+el5eH8p3H9K+bv2s0/sv8A4Ko+G7jOBJrWjPgf70ANfxPmcOThfK5/yzos/eclrOXH
												GfU/5qeKX3f8MfpAOlFIhyg+lLX7UfzcFFFFABRRRQAUUUUAFFFFABRRRQAV4R+xp/yVP9o7/sp5
												/wDUe0Ovd68I/Y0/5Kn+0d/2U8/+o9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv8AkSNY/wCv
												Gf8A9FtXmX/BO/8A5R//AAM/7J9oH/ptt69N8df8iRrH/XjP/wCi2rzL/gnf/wAo/wD4Gf8AZPtA
												/wDTbb0AexUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf/5O
												m+MX/cF/9JHr1qvJfg//AMnTfGL/ALgv/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/s
												y/8AJav2iP8AsoNp/wCop4er2KvHf2Zf+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAe
												O+Cf+UgHxN/7J94R/wDTl4nr2KvHfBP/ACkA+Jv/AGT7wj/6cvE9exUAFFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
												flZ/wbmf8nFftd/9jHp3/pTrFfqnX5Wf8G5n/JxX7Xf/AGMenf8ApTrFfqnQAUUUUAFFFFABRRRQ
												AUUUUAFFFFABRRRQB+Vn/Bqt/wAm6/FP/sY7f/0mFfqnX5Wf8Gq3/JuvxT/7GO3/APSYV+qdABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX54/8ABY/UmvP2ofghpOfljs9W1Qj/AK5/Z4s/+R/1
												r9Dq/OD/AIKxt9s/4KDfCmP/AJZ2fgDxA7D/AG31DSAp/JWH419fwLdZxTkuik//ACVnPif4Z5ce
												Grw/9qLSRcfGr4Z3n8VrHqqA/wC/HAP6V7gOleUftH2+/wAXeDZsHbHJdrnt8yx/4V9d4l1vZ8JZ
												n50Ki++LR9d4WUvacXZeu1WL+53P1H/4Jh2v2P8AYy8Lrz80l0/P+1cSH+tfNP7fMf8AZn/BQrwj
												df3r3TZP++ZIq+qv+Cd1p9j/AGQPB68/NA78/wC07H+tfLP/AAU9X+zP2wPBd10ybeTJ6fLJHX8g
												cSQ9nwfg3/L7F/kfsHBlT23iHmK/n+sr77s/Q60bfaxt/eQH9Kkqvpbb9Mt29YlP6CrFfsEdkfz3
												LSTQUUUVRIUUUUAFFFFABRRRQAUUUUAFeEfsaf8AJU/2jv8Asp5/9R7Q693rwj9jT/kqf7R3/ZTz
												/wCo9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv+RI1j/rxn/9FtXmX/BO/wD5R/8AwM/7J9oH
												/ptt69N8df8AIkax/wBeM/8A6LavMv8Agnf/AMo//gZ/2T7QP/Tbb0AexUUUUAFFFFABRRRQAUUU
												UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf/wCTpvjF/wBwX/0kevWq8l+D/wDydN8Y
												v+4L/wCkj161QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB47+zL/AMlq/aI/7KDaf+op4er2KvHf
												2Zf+S1ftEf8AZQbT/wBRTw9XsVABRRRQAUUUUAFFFFABRRRQB474J/5SAfE3/sn3hH/05eJ69irx
												3wT/AMpAPib/ANk+8I/+nLxPXsVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8G5n/JxX7Xf/AGMenf8ApTrF
												fqnX5Wf8G5n/ACcV+13/ANjHp3/pTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/AAar
												f8m6/FP/ALGO3/8ASYV+qdflZ/warf8AJuvxT/7GO3/9JhX6p0AFFFFABRRRQAUUUUAFFFFABRRR
												QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFfmv/AMFN7v7b/wAFFvDsf/QP8A3GMdvNvrc/+0v0r9KK/Mj/AIKDSfbf+Clmtd/7
												P8DaWv0866vD+vlfpX33hzTUsyqN9Kcn+S/U5cY/cXqcMOa8z/aHh/0rw3Jj7l1IAc+oX/CvTK83
												/aKbanh31+2E/oK6vGGrycIY23WFvvaR+geDdPm4wwXlK/3Jn6vfsLW/2b9k7wOvPzaZE/P+0oP9
												a+S/+CwP/Es+Ongi6/6c2fnp8sq19ifsd2/2b9ln4fr/AHtBs3/OFDXyH/wWmtc+NvBM3Py2M6e3
												+sB/pX8w8b0+Tg6KX2VS/BxP0LwurKp4iyb2nKv+KkffmhNv0SzPrAh/8dFWqzfBlz9r8JaZJ/ft
												Yzx/uitKv1KjK8E/JH4ZXjapJebCiiitDIKKKKACiiigAooooAKKKKACvCP2NP8Akqf7R3/ZTz/6
												j2h17vXhH7Gn/JU/2jv+ynn/ANR7Q6APd6KKKACiiigAooooAKKKKACiiigDK8df8iRrH/XjP/6L
												avMv+Cd//KP/AOBn/ZPtA/8ATbb16b46/wCRI1j/AK8Z/wD0W1eZf8E7/wDlH/8AAz/sn2gf+m23
												oA9iooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPJfg//AMnTfGL/
												ALgv/pI9etV5L8H/APk6b4xf9wX/ANJHr1qgAooooAKKKKACiiigAooooAKKKKACiiigDx39mX/k
												tX7RH/ZQbT/1FPD1exV47+zL/wAlq/aI/wCyg2n/AKinh6vYqACiiigAooooAKKKKACiiigDx3wT
												/wApAPib/wBk+8I/+nLxPXsVeO+Cf+UgHxN/7J94R/8ATl4nr2KgAooooAKKKKACiiigAooooAKK
												KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8rP
												+Dcz/k4r9rv/ALGPTv8A0p1iv1Tr8rP+Dcz/AJOK/a7/AOxj07/0p1iv1ToAKKKKACiiigAooooA
												KKKKACiiigAooooA/Kz/AINVv+Tdfin/ANjHb/8ApMK/VOvys/4NVv8Ak3X4p/8AYx2//pMK/VOg
												AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
												iiigAooooAKKKKACiiigAooooAKKKKACiiigAr8vf20bv+1P+CjHxEuOvk+HNCsvp5cmot/7Ur9Q
												q/J/496t/bf7dnxjmHzfZbyzsc/9c0kYj/yJX6F4cxvja0u1N/jKJy4z4V6mfXl/7ScnPh9e4uWO
												f++RXqAGTXlH7SrYvtDXn5ZgfzYCsPG6py8IYnz5V98kfpvgfT5+MMMu3M/uiz9i/wBly2+x/s1+
												AIid3l+HbBc464to6+R/+C0VrmbwdN6LKnT3J/pX2V8DLb7H8FfCMPH7vRrNePaFBXyN/wAFoIP+
												KY8IzZ6XLJjH+y5/pX8/ceUv+MUqR7Rh+DR7vhTWtx3Rl3nU/FSPr/4QXZvvhfoMxx+8sozx9K6S
												uJ/ZxuvtnwL8Lyf3rCM121fd4CfNhqcu8V+R+W5nDkxlWHaUl+LCiiius4QooooAKKKKACiiigAo
												oooAK8I/Y0/5Kn+0d/2U8/8AqPaHXu9eEfsaf8lT/aO/7Kef/Ue0OgD3eiiigAooooAKKKKACiii
												gAooooAyvHX/ACJGsf8AXjP/AOi2rzL/AIJ3/wDKP/4Gf9k+0D/0229em+Ov+RI1j/rxn/8ARbV5
												l/wTv/5R/wDwM/7J9oH/AKbbegD2KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
												CiiigAooooA8l+D/APydN8Yv+4L/AOkj161Xkvwf/wCTpvjF/wBwX/0kevWqACiiigAooooAKKKK
												ACiiigAooooAKKKKAPHf2Zf+S1ftEf8AZQbT/wBRTw9XsVeO/sy/8lq/aI/7KDaf+op4er2KgAoo
												ooAKKKKACiiigAooooA8d8E/8pAPib/2T7wj/wCnLxPXsVeO+Cf+UgHxN/7J94R/9OXievYqACii
												igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
												ACiiigAooooAKKKKAPys/wCDcz/k4r9rv/sY9O/9KdYr9U6/Kz/g3M/5OK/a7/7GPTv/AEp1iv1T
												oAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/g1W/5N1+Kf/Yx2/wD6TCv1Tr8rP+DVb/k3X4p/
												9jHb/wDpMK/VOgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
												igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr8fddvzq/7XH7QVwf+WPj64ss
												+0dtbn/2c1+wVfjfoE66j8aPjJfK25dR8eX1yD65gtl/9lr9G8O6cva4iqtlFJ/N3/Q48W9EjoAe
												K8j/AGkXzr+kL6FDg/8AXTFeuV47+0Yd3i7S16/u4jj/ALamvJ8eKnLwlVXecF+J+teAkObi6k+0
												Kj/8lP23+Gtv9k+HegxYC+Xp9umB7RqK+SP+Cztv/wAWt8KzemqbP/IUhr6+8DyCXwXpDBQoayhI
												AOcfIK+UP+CzFp5vwJ8OSgf6rWl3H2MMor8b46pf8Y5iIPpD8rGPhhWtxlg596n53Pev2P7v7b+z
												N4Ml5+bTk6/jXpNeS/sKXH2j9kjwKxYs39mqCT9TXrVfRZNLmwFF/wByP5I+O4gjy5piY9qk/wD0
												phRRRXpHkBRRRQAUUUUAFFFFABRRRQAV4R+xp/yVP9o7/sp5/wDUe0Ovd68I/Y0/5Kn+0d/2U8/+
												o9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv8AkSNY/wCvGf8A9FtXmX/BO/8A5R//AAM/7J9o
												H/ptt69N8df8iRrH/XjP/wCi2rzL/gnf/wAo/wD4Gf8AZPtA/wDTbb0AexUUUUAFFFFABRRRQAUU
												UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf/5Om+MX/cF/9JHr1qvJfg//AMnTfGL/
												ALgv/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8AJav2iP8AsoNp/wCop4er2KvH
												f2Zf+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94R/wDTl4nr2KvH
												fBP/ACkA+Jv/AGT7wj/6cvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
												FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wbmf8nFftd/9jHp3/pTrFfqn
												X5Wf8G5n/JxX7Xf/AGMenf8ApTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/Bqt/wAm
												6/FP/sY7f/0mFfqnX5Wf8Gq3/JuvxT/7GO3/APSYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
												FFFFABX4rfA3UDrlv4p1LO7+0vEV5cE5znO1ev4V+1JOBX4f/sc3B1D4A6TfN97UJbi4OR3M7j/2
												Wv1rw1ivqmNl50v/AHJ/kcOM+KPz/Q9QBxXi/wC0bL5fjWxz0W1ib/yK9e0ZxXhv7Tk2PFW7+5ZJ
												/wChua+N8ffe4YVNfaq01+J+yfR/04p539mlUf4I/bz4LXn9o/B3wncAYFxo9nIBnOMwIev4186f
												8FgbXzv2bbGTbnydWibPplWH9a9q/Y71U67+yR8Lb4gKbzwjpUxAOcbrOI9fxryf/grVbed+ynPJ
												n/VX9uw98yAf1r804/p2ybGw7Rn+FzwfDOpbirL5P/n7D8Wdz/wT8n879kXwbznbabfphjXs1eG/
												8E5J/P8A2Q/Cv+zG6/kxr3KunhufNlWGl/cj+SPL4xp8mfYyHarP/wBKYUUUV7R82FFFFABRRRQA
												UUUUAFFFFABXhH7Gn/JU/wBo7/sp5/8AUe0Ovd68I/Y0/wCSp/tHf9lPP/qPaHQB7vRRRQAUUUUA
												FFFFABRRRQAUUUUAZXjr/kSNY/68Z/8A0W1eZf8ABO//AJR//Az/ALJ9oH/ptt69N8df8iRrH/Xj
												P/6LavMv+Cd//KP/AOBn/ZPtA/8ATbb0AexUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFFFFAHkvwf8A+TpvjF/3Bf8A0kevWq8l+D//ACdN8Yv+4L/6SPXrVABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFAHjv7Mv/Jav2iP+yg2n/qKeHq9irx39mX/ktX7RH/ZQbT/1FPD1exUA
												FFFFABRRRQAUUUUAFFFFAHjvgn/lIB8Tf+yfeEf/AE5eJ69irx3wT/ykA+Jv/ZPvCP8A6cvE9exU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
												UUUUAFFFFABRRRQAUUUUAflZ/wAG5n/JxX7Xf/Yx6d/6U6xX6p1+Vn/BuZ/ycV+13/2Menf+lOsV
												+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8Gq3/JuvxT/7GO3/APSYV+qdflZ/warf8m6/
												FP8A7GO3/wDSYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGb4x1D+yfCOqXWcfZbOaXP
												ptQn+lfi/wDsp2P9n/s/eG4+flhkP5zOf61+wH7RerDQP2ffHV8zbVs/D1/OWJxjbbSNnP4V+SPw
												AtGsPgz4fiYFf9FBwRjqxP8AWv1vw50wWKfeVP8ABT/zOHF/EvmdhXhP7Sa+b4tu1z92xGfyY17t
												nFeG/HWP7b8RL6L/AKc9uP8AtkTXxvjp72T4an/NiKS/Fn7J4D+7neJqfy4eq/wR+vf/AATivv7T
												/wCCe3wJuef9I+HugSc++nW5/rXMf8FVLczfsea4/wDzxubRj+NxEP61pf8ABKqbzf8AgmV+z0v8
												UHw38PQMf7xTTbdSfxIqP/gqBB5v7FPi5tufKeybPpm9gH9a+B8QKf8AwnZhF9IVfwUj5fw7ly8T
												Zc/+n1L8ZxQf8EyJ/P8A2QtA/wBmWdfyevoCvnP/AIJXXHn/ALH2k8523t0v0w9fRlcXCMubJMK/
												+ncfyRXiBDk4lx8f+ntT/wBKYUUUV9EfHhRRRQAUUUUAFFFFABRRRQAV4R+xp/yVP9o7/sp5/wDU
												e0Ovd68I/Y0/5Kn+0d/2U8/+o9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv8AkSNY/wCvGf8A
												9FtXmX/BO/8A5R//AAM/7J9oH/ptt69N8df8iRrH/XjP/wCi2rzL/gnf/wAo/wD4Gf8AZPtA/wDT
												bb0AexUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf/5Om+MX
												/cF/9JHr1qvJfg//AMnTfGL/ALgv/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8A
												Jav2iP8AsoNp/wCop4er2KvHf2Zf+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf
												+UgHxN/7J94R/wDTl4nr2KvHfBP/ACkA+Jv/AGT7wj/6cvE9exUAFFFFABRRRQAUUUUAFFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/
												wbmf8nFftd/9jHp3/pTrFfqnX5Wf8G5n/JxX7Xf/AGMenf8ApTrFfqnQAUUUUAFFFFABRRRQAUUU
												UAFFFFABRRRQB+Vn/Bqt/wAm6/FP/sY7f/0mFfqnX5Wf8Gq3/JuvxT/7GO3/APSYV+qdABRRRQAU
												UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFAHlX7deof2T+xJ8YLrp9n8E6zKP+A2Mx/pX5kfDay/s/4f6L
												D/dsoj+ag/1r9IP+Ckd8LD9gj4uMf+W3he9tuf8AprEY/wD2evzr8KxeT4Y01P7lrEP/ABwV+t+H
												9OSwFWp0c7fdFP8AU4MV8aXkaA614p8UI/tXxgu4/wDpkF+v7j/69e1ivGfFy/a/jtc/RR9f3C18
												b41e9h8upfzYmn+Z+y+CPu4vMKv8uGqH6m/8EmLr7R/wTg+DaZJ+y+FrC1x/d8uBEwPYbcVq/wDB
												SuD7T+xL44Xp8lm35Xtuf6Vy3/BHS/8Atv8AwTu+Hq7txtbeW1P+yY5XTb+G3H4V23/BQyA3P7Gn
												jpQM4tIm/K4iP9K+Y8TqHs/7Voroq6/CR8XwFU5c+y6f/T6i/wDyeJxv/BJmfzP2RrNP+eepXX6v
												X0zXyv8A8EirsS/sxSRc5i1GbP4sa+qK+V4JlfIcJ/gj+R63iZHl4qzBf9PZ/i7hRRRX1B8OFFFF
												ABRRRQAUUUUAFFFFABXhH7Gn/JU/2jv+ynn/ANR7Q693rwj9jT/kqf7R3/ZTz/6j2h0Ae70UUUAF
												FFFABRRRQAUUUUAFFFFAGV46/wCRI1j/AK8Z/wD0W1eZf8E7/wDlH/8AAz/sn2gf+m23r03x1/yJ
												Gsf9eM//AKLavMv+Cd//ACj/APgZ/wBk+0D/ANNtvQB7FRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAeS/B//k6b4xf9wX/0kevWq8l+D/8AydN8Yv8AuC/+kj161QAU
												UUUAFFFFABRRRQAUUUUAFFFFABRRRQB47+zL/wAlq/aI/wCyg2n/AKinh6vYq8d/Zl/5LV+0R/2U
												G0/9RTw9XsVABRRRQAUUUUAFFFFABRRRQB474J/5SAfE3/sn3hH/ANOXievYq8d8E/8AKQD4m/8A
												ZPvCP/py8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/BuZ/ycV+13/2Menf+lOsV+qdflZ/wbmf8nFft
												d/8AYx6d/wClOsV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8Gq3/ACbr8U/+xjt//SYV
												+qdflZ/warf8m6/FP/sY7f8A9JhX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
												UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfOP/AAVv
												1Y6N/wAE7viVKP8AltbWlt/39vreL/2evhXSF8rSbVf7sSD/AMdFfZH/AAW7vfsP/BNXxq3H77WP
												DVv/AN/PEOmx/wDs1fHkCeXAq/3QBzX7ZwLFf2Dzf9Pqn/pFI83FfxfkvzZIteOXgF58e5/4tzAc
												f9cgK9izivH9JQXPx8mHT96en+6K/PfGD3q+T0v5sVTP2jwb92lnFX+XCzP0e/4InXf2n9gDQ49y
												t9j1zW7UAfwiPU7lAD7jbivV/wBu+D7R+yF49U840wt+Tqf6V41/wQ7l3fsMzx/8+/jzxbCPcLr1
												6oJ+oFe4ftqQ+f8Asm/EBfTRbhvyXP8ASvF8TrTxmaW6ut+PMfn/AAjPkzTBT7VKb/8AJonjP/BH
												65MnwB1KPtHqDED0zur62r44/wCCN9z5nwj8RR9471D+e+vsevgOAZX4fwv+H9WfV+K0eXi3Hr++
												396TCiiivrz8+CiiigAooooAKKKKACiiigArwj9jT/kqf7R3/ZTz/wCo9ode714R+xp/yVP9o7/s
												p5/9R7Q6APd6KKKACiiigAooooAKKKKACiiigDK8df8AIkax/wBeM/8A6LavMv8Agnf/AMo//gZ/
												2T7QP/Tbb16b46/5EjWP+vGf/wBFtXmX/BO//lH/APAz/sn2gf8Aptt6APYqKKKACiiigAooooAK
												KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyX4P8A/J03xi/7gv8A6SPXrVeS/B//AJOm
												+MX/AHBf/SR69aoAKKKKACiiigAooooAKKKKACiiigAooooA8d/Zl/5LV+0R/wBlBtP/AFFPD1ex
												V47+zL/yWr9oj/soNp/6inh6vYqACiiigAooooAKKKKACiiigDx3wT/ykA+Jv/ZPvCP/AKcvE9ex
												V474J/5SAfE3/sn3hH/05eJ69ioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/AINzP+Tiv2u/+xj07/0p1iv1
												Tr8rP+Dcz/k4r9rv/sY9O/8ASnWK/VOgAooooAKKKKACiiigAooooAKKKKACiiigD8rP+DVb/k3X
												4p/9jHb/APpMK/VOvys/4NVv+Tdfin/2Mdv/AOkwr9U6ACiiigAooooAKKKKACiiigAooooAKKKK
												ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												KKKKAPkH/guJP5n7AuoWP/P/AOJ/DS49fL12wm/9p18mnivp7/guHqGz9m/wjp+Ru1TxjpqAdz5c
												om4/79/pXzC336/cOCY8uRQXepN/hBfoebif4vyQda8f8HjzvjzcHpiSXr7V7BnOK8f+HH77443h
												6/vJ/wBCa/N/Fd3zjIKffFR/BxP2jwl93Kc+q9sM/wAbn6Gf8ERG8v8AZF8QQd4fH/iYk/72q3D/
												APs1e/ftfQ+f+yx8Q1xn/inr1vyhY/0r57/4ImT/APGPHje3zzb+Pdayv93fcs/67s19H/tRW/2v
												9mr4gRZ2+Z4c1Bc+mbaSvP8AESF8wx8e7qfimfmvD8+XF4eXaUP/AEpHzF/wRhuzL4F8ZQ7siO6t
												yB6ZElfbFfDP/BFqTy9K8eRdf39s2c+gkH9a+5q/M/DyV+H8P6P82feeLsbcXY3/ABJ/+SxCiiiv
												tD83CiiigAooooAKKKKACiiigArwj9jT/kqf7R3/AGU8/wDqPaHXu9eEfsaf8lT/AGjv+ynn/wBR
												7Q6APd6KKKACiiigAooooAKKKKACiiigDK8df8iRrH/XjP8A+i2rzL/gnf8A8o//AIGf9k+0D/02
												29em+Ov+RI1j/rxn/wDRbV5l/wAE7/8AlH/8DP8Asn2gf+m23oA9iooooAKKKKACiiigAooooAKK
												KKACiiigAooooAKKKKACiiigAooooAKKKKAPJfg//wAnTfGL/uC/+kj161Xkvwf/AOTpvjF/3Bf/
												AEkevWqACiiigAooooAKKKKACiiigAooooAKKKKAPHf2Zf8AktX7RH/ZQbT/ANRTw9XsVeO/sy/8
												lq/aI/7KDaf+op4er2KgAooooAKKKKACiiigAooooA8d8E/8pAPib/2T7wj/AOnLxPXsVeO+Cf8A
												lIB8Tf8Asn3hH/05eJ69ioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
												CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/g3M/5OK/a7/7GPTv/AEp1iv1Tr8rP
												+Dcz/k4r9rv/ALGPTv8A0p1iv1ToAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/g1W/wCTdfin
												/wBjHb/+kwr9U6/Kz/g1W/5N1+Kf/Yx2/wD6TCv1ToAKKKKACiiigAooooAKKKKACiiigAooooAK
												KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo
												ooA+Ff8AguLctJ4f+B+ng8aj47YEdj5el303/tPP4V88t1/GvfP+C10ouvHH7Otv/wA+/jC/uiPb
												+wdTj/L5/wA68DxX7hwfFxyekn15n/5M1+h5uI/iMM4H05rx/wCE67/jJqD/AO3cH82NevTttgkP
												+yf5V5H8GD5vxQ1F+nMv6sa/NvE33uJMgh2r3+7lP2rwv9zhvP6n/ThL7+Y++P8AgiZPj4YfFS3/
												AIbfx5ekDuN8cT/ruzX1R8fbf7X8C/GUW3d5mh3q7fXMD18nf8EVW8rS/jdb/wDPHxurZ9d+m2b/
												APs1fX/xag+0/CzxJH08zS7lc+mYmrm49tPMsX53/GJ+WZRLlq0n2kvzPjH/AIIzyeXqPjqHPUxN
												j6Mw/rX3dXwL/wAEcptnj3xxD/0xDZ+koH9a++q/JfDWV+H6Pk5L/wAmZ+n+NFPl4uxPnyP/AMkQ
												UUUV94flYUUUUAFFFFABRRRQAUUUUAFeEfsaf8lT/aO/7Kef/Ue0Ovd68I/Y0/5Kn+0d/wBlPP8A
												6j2h0Ae70UUUAFFFFABRRRQAUUUUAFFFFAGV46/5EjWP+vGf/wBFtXmX/BO//lH/APAz/sn2gf8A
												ptt69N8df8iRrH/XjP8A+i2rzL/gnf8A8o//AIGf9k+0D/0229AHsVFFFABRRRQAUUUUAFFFFABR
												RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/wDk6b4xf9wX/wBJHr1qvJfg/wD8nTfGL/uC
												/wDpI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8lq/aI/7KDaf+op4er2KvHf2Zf8A
												ktX7RH/ZQbT/ANRTw9XsVABRRRQAUUUUAFFFFABRRRQB474J/wCUgHxN/wCyfeEf/Tl4nr2KvHfB
												P/KQD4m/9k+8I/8Apy8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
												UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/BuZ/wAnFftd/wDYx6d/6U6xX6p1
												+Vn/AAbmf8nFftd/9jHp3/pTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/Bqt/ybr8U
												/wDsY7f/ANJhX6p1+Vn/AAarf8m6/FP/ALGO3/8ASYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFF
												FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
												UAFFFFAH59f8FkL7z/2gvgbZc/ubrULwen/HjdR/+z14pXqf/BXK7+1ftxfCaz/59/Dmo3nX/b8v
												p/wLrXlmOK/oLIqahk2D84N/+VJnk1X+8l6/oiO9O2xm9kb+Rryf4Ejf451J/Tcf1NeraocaZct6
												RMf0NeVfs9jzPEmqv7Dn6lq/JPED3+MMjh2nN/ckft3h57nB2ez7wgvvufc//BGWURa78eYcfNJ4
												ssphjpj+xdPX+YNfZ/jqL7R4J1iPbu8yymXHrlDXxR/wR4n8n4l/Gq33Y8zVbGcp6/8AEvtVz/47
												j8K+49ai8/R7uPpvhdc/VTS44w/JmlWPdRf3wR+S4CduWXZ/qfAn/BH+Xy/jT42hzgfYnbb9J4x/
												Wv0Er87v+CRlx5f7TPjSDHJ0q4bP0u4B/Wv0Rr8V8L5XyGC7Sl+Z+w+OUOXiuo+8Kb/8lQUUUV+i
												H5AFFFFABRRRQAUUUUAFFFFABXhH7Gn/ACVP9o7/ALKef/Ue0Ovd68I/Y0/5Kn+0d/2U8/8AqPaH
												QB7vRRRQAUUUUAFFFFABRRRQAUUUUAZXjr/kSNY/68Z//RbV5l/wTv8A+Uf/AMDP+yfaB/6bbevT
												fHX/ACJGsf8AXjP/AOi2rzL/AIJ3/wDKP/4Gf9k+0D/0229AHsVFFFABRRRQAUUUUAFFFFABRRRQ
												AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/8Ak6b4xf8AcF/9JHr1qvJfg/8A8nTfGL/uC/8A
												pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/wDJav2iP+yg2n/qKeHq9irx39mX/ktX
												7RH/AGUG0/8AUU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94R/9OXievYq8d8E/wDK
												QD4m/wDZPvCP/py8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/BuZ/ycV+13/wBjHp3/AKU6xX6p1+Vn
												/BuZ/wAnFftd/wDYx6d/6U6xX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wAGq3/JuvxT
												/wCxjt//AEmFfqnX5Wf8Gq3/ACbr8U/+xjt//SYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFAH5qf8FT5Ddf8FJfAkf8ABa/Dm+c+zNqMAH6ZrzrPFegf8FKZftn/AAUh0zubLwG0f033kbf0
												rz+v6GybTKMGn/z7/OUn+p5NT+JL1K2snbo15/1wf/0E15j+zaPM1HV2+7hI+PqWr0vxG/l+Hr4/
												9MX/APQTXnP7NceDqzf7g/nX5Dxn7/HeTQ7Koz9s4L9zgPOZ93BH2J/wSEu9v7RHxgttvDRWE+73
												8iJcfpX35IgljZW+6wwa/O3/AIJKXQi/bR+Klt82ZfDmn3GO2PMKfnxX6KV6HiFG2cP/AAU//TcT
												8gwf8P5v8z84/wDgkzI0P7YnjKE/Kv8AYl4ce4vbWv0cr85/+CZKf2f+3b4uhb7zaTerx6/arc/0
												r9GK/n/wr0yTl7VJ/mftvjo+biZTXWlTf4BRRRX6QfjYUUUUAFFFFABRRRQAUUUUAFeEfsaf8lT/
												AGjv+ynn/wBR7Q693rwj9jT/AJKn+0d/2U8/+o9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv+
												RI1j/rxn/wDRbV5l/wAE7/8AlH/8DP8Asn2gf+m23r03x1/yJGsf9eM//otq8y/4J3/8o/8A4Gf9
												k+0D/wBNtvQB7FRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeS/B
												/wD5Om+MX/cF/wDSR69aryX4P/8AJ03xi/7gv/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AeO/sy/8lq/aI/7KDaf+op4er2KvHf2Zf+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUA
												eO+Cf+UgHxN/7J94R/8ATl4nr2KvHfBP/KQD4m/9k+8I/wDpy8T17FQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB
												+Vn/AAbmf8nFftd/9jHp3/pTrFfqnX5Wf8G5n/JxX7Xf/Yx6d/6U6xX6p0AFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAflZ/warf8m6/FP/sY7f8A9JhX6p1+Vn/Bqt/ybr8U/wDsY7f/ANJhX6p0AFFF
												FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfmF+33c/bf+Ck+u/wDTj4Ts4uO2+Tdz+VcZXUftlv8A
												bf8AgpH8TG6/YtH0aEf7O+F3/pXL96/oXKJXy3DR7U4/5/qeTU+N+pneMH8vwrqDf9O7/wAq4L9m
												5P8AQtTbHV1Gfw/+vXcePG2+DdSP/TBq439m2L/iQ6g3/TfH/jor8k4ltLxFyuHalUf5n7Vwy+Tw
												4zWXerTX4I+lP+CU1x5P/BQz4iW+7HneAtPuNvqft0yZ/wDHcfhX6SV+aX/BL+T7N/wUt8X+tz8O
												LOM/7O3Urhq/S2vR8RrvOL/9O6f/AKRE/IcH/D+b/M/Ov/gn5/oP/BQ/xNEnCtY3qnP/AF1hP9K/
												RSvzt/Y2T+z/APgpzr0LfKzw3qjHf5UP9K/RKv5/8MtMrqx7VZr8j9q8apc2d0J/zYek/wAGFFFF
												fop+PhRRRQAUUUUAFFFFABRRRQAV4R+xp/yVP9o7/sp5/wDUe0Ovd68I/Y0/5Kn+0d/2U8/+o9od
												AHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv8AkSNY/wCvGf8A9FtXmX/BO/8A5R//AAM/7J9oH/pt
												t69N8df8iRrH/XjP/wCi2rzL/gnf/wAo/wD4Gf8AZPtA/wDTbb0AexUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf/5Om+MX/cF/9JHr1qvJfg//AMnTfGL/ALgv
												/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8AJav2iP8AsoNp/wCop4er2KvHf2Zf
												+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94R/wDTl4nr2KvHfBP/
												ACkA+Jv/AGT7wj/6cvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wbmf8nFftd/9jHp3/pTrFfqnX5Wf
												8G5n/JxX7Xf/AGMenf8ApTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/Bqt/wAm6/FP
												/sY7f/0mFfqnX5Wf8Gq3/JuvxT/7GO3/APSYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												AH5W/tO3H9oft+/F6464/sy3Pf8A1cDrWDU/xb1L+1v2z/jRMCpWPXltcj1jVh+dQV/SGHoqlQpU
												10hD/wBIieO3dt+bMX4kPs8Cao3pAa5f9nCPHhO+bt9sYf8AjiV0fxVbb8PtV/64kVg/s6jb4Iuj
												/evX/wDQI6/Gs49/xNwMe2Gm/wDyaR+1ZO+Twxx0u+Jgv/JYnu//AATjuRaf8FKrhen2vwQsQI/i
												23M7c1+m1fl1+wRdNY/8FNdDTKqLzwtcRHP8W0ztxX6i16XiN/yNIv8A6dw/K36H5Hg/g+bPzu/Z
												n/4l/wDwVb1aJeQ7Xqc/9cM/0r9Ea/O34PH7D/wV+vI/9XvvL1Mev+hyHH6fpX6JV/P/AIcrlwmJ
												h2rVP0P2Txgnz4/A1O+Fov8ACQUUUV+hn5KFFFFABRRRQAUUUUAFFFFABXhH7Gn/ACVP9o7/ALKe
												f/Ue0Ovd68I/Y0/5Kn+0d/2U8/8AqPaHQB7vRRRQAUUUUAFFFFABRRRQAUUUUAZXjr/kSNY/68Z/
												/RbV5l/wTv8A+Uf/AMDP+yfaB/6bbevTfHX/ACJGsf8AXjP/AOi2rzL/AIJ3/wDKP/4Gf9k+0D/0
												229AHsVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/8Ak6b4
												xf8AcF/9JHr1qvJfg/8A8nTfGL/uC/8ApI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy
												/wDJav2iP+yg2n/qKeHq9irx39mX/ktX7RH/AGUG0/8AUU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO
												+Cf+UgHxN/7J94R/9OXievYq8d8E/wDKQD4m/wDZPvCP/py8T17FQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+V
												n/BuZ/ycV+13/wBjHp3/AKU6xX6p1+Vn/BuZ/wAnFftd/wDYx6d/6U6xX6p0AFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAflZ/wAGq3/JuvxT/wCxjt//AEmFfqnX5Wf8Gq3/ACbr8U/+xjt//SYV+qdA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH483t9/a37TXxzuCd234gapbZx/zzmK4/CtbtXM+
												E5PtXxg+NV1ncLz4m+IJl/3WuiQPwrphX9N11bkX9yH/AKRE8aP+Zzfxffb8P9Q/2kx9ay/2fEx4
												Ck/2rtzx3+Vf8Ku/GuXZ8P7r/aIH161W+Ace34fJ/tTyH69B/Svw7EPn8UKP93Cv8Zf8E/bMKuTw
												urf3sVH8Io9M/Y3uRZ/8FQfhmuC32zSNTiH+yVtp3zX6sV+Tf7MM32T/AIKg/Av5tv2qPXYv9/bp
												k7Y/DrX6yV6fiHK+YU3/ANO4/g5I/IsJ8D9T87fB4+wf8Fjmb727Urs/nYSj+tfolX53H/iX/wDB
												YO3Zfk3X8pOe+bOQV+iNfgHh+/dxse1ef6H7F4rR9/LJ98JS/DmCiiiv0I/JwooooAKKKKACiiig
												AooooAK8I/Y0/wCSp/tHf9lPP/qPaHXu9eEfsaf8lT/aO/7Kef8A1HtDoA93ooooAKKKKACiiigA
												ooooAKKKKAMrx1/yJGsf9eM//otq8y/4J3/8o/8A4Gf9k+0D/wBNtvXpvjr/AJEjWP8Arxn/APRb
												V5l/wTv/AOUf/wADP+yfaB/6bbegD2KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
												KACiiigAooooA8l+D/8AydN8Yv8AuC/+kj161Xkvwf8A+TpvjF/3Bf8A0kevWqACiiigAooooAKK
												KKACiiigAooooAKKKKAPHf2Zf+S1ftEf9lBtP/UU8PV7FXjv7Mv/ACWr9oj/ALKDaf8AqKeHq9io
												AKKKKACiiigAooooAKKKKAPHfBP/ACkA+Jv/AGT7wj/6cvE9exV474J/5SAfE3/sn3hH/wBOXiev
												YqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo
												oAKKKKACiiigAooooAKKKKAPys/4NzP+Tiv2u/8AsY9O/wDSnWK/VOvys/4NzP8Ak4r9rv8A7GPT
												v/SnWK/VOgAooooAKKKKACiiigAooooAKKKKACiiigD8rP8Ag1W/5N1+Kf8A2Mdv/wCkwr9U6/Kz
												/g1W/wCTdfin/wBjHb/+kwr9U6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
												iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKCcUUjnCH6UAfi18F7
												0au3jLUAQ39peLNSusjvvlzXbV5l+yLe/wBsfBKx1FiWbVJpLws33jvweff6V6aK/pzFfxLLokvu
												SR4sdjj/AI6Pt+H8o/vSqP0al+BUez4c2p/vSSH/AMfI/pUH7QD7PAQ/2rlB19mq58E02/DTTv8A
												a808f9dGr8Loe/4oVP7uGX4tM/cK/ueF1NfzYlv7kzsf2fR5X/BS39nu4H3o7rXEA/39KlU/zr9a
												a/JX4Jv9m/b++BEx/h1a+j46jfZuv9a/Wqva8RKdsVQn3h+U5H4/hH7rXmfnf47/ANB/4K56czdG
												vFIx7wOK/RCvzt+ND/YP+CsmjsvVru2zn/aRhX6JV/PHALtXzGHavL8T9o8VI3w2Tz74WH4BRRRX
												6KfkIUUUUAFFFFABRRRQAUUUUAFeEfsaf8lT/aO/7Kef/Ue0Ovd68I/Y0/5Kn+0d/wBlPP8A6j2h
												0Ae70UUUAFFFFABRRRQAUUUUAFFFFAGV46/5EjWP+vGf/wBFtXmX/BO//lH/APAz/sn2gf8Aptt6
												9N8df8iRrH/XjP8A+i2rzL/gnf8A8o//AIGf9k+0D/0229AHsVFFFABRRRQAUUUUAFFFFABRRRQA
												UUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/wDk6b4xf9wX/wBJHr1qvJfg/wD8nTfGL/uC/wDp
												I9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8lq/aI/7KDaf+op4er2KvHf2Zf8AktX7
												RH/ZQbT/ANRTw9XsVABRRRQAUUUUAFFFFABRRRQB474J/wCUgHxN/wCyfeEf/Tl4nr2KvHfBP/KQ
												D4m/9k+8I/8Apy8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF
												FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/BuZ/wAnFftd/wDYx6d/6U6xX6p1+Vn/
												AAbmf8nFftd/9jHp3/pTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/Bqt/ybr8U/wDs
												Y7f/ANJhX6p1+Vn/AAarf8m6/FP/ALGO3/8ASYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB
												RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFM
												uHEdvIzHaqqSSe1PrE+Jep/2L8OPEF4SALTTbmYk9tsTH+laUabqVIwXVpfeDdlc/FD9hAtL+xz8
												OZ23K91odtMwPUFo1JzXrVec/sh6f/ZX7L3gG25HkaHarg9sRivRq/pbEXVWSfdnix2OC/aGfb4L
												hX+9cg/oa2fg8vlfDjSx/suf/IjVz/7RUn/FN2S/3pif0rpvhbF5fgDTF/6ZE/mxr8Lyr3/E7HP+
												WhBffys/cM29zwvwK/mrzf3cyN74YTG3/bZ+Bswwp/4SJ48n0eIqfzzX64V+Qfhlxa/tUfBOb7yr
												40sY/wDvuVF/rX6+V9R4lRtLCP8AuS/9LkfjuD+16/ofnX+1Cwsv+CqPhtm/d7rrT+emdxx+tfop
												X5z/ALaj/Yf+CoHhNvvb7rR/wzMBX6MV/NfAztj80j/0+f6n7d4oRvlORz74ZfhYKKKK/Rj8dCii
												igAooooAKKKKACiiigArwj9jT/kqf7R3/ZTz/wCo9ode714R+xp/yVP9o7/sp5/9R7Q6APd6KKKA
												CiiigAooooAKKKKACiiigDK8df8AIkax/wBeM/8A6LavMv8Agnf/AMo//gZ/2T7QP/Tbb16b46/5
												EjWP+vGf/wBFtXmX/BO//lH/APAz/sn2gf8Aptt6APYqKKKACiiigAooooAKKKKACiiigAooooAK
												KKKACiiigAooooAKKKKACiiigDyX4P8A/J03xi/7gv8A6SPXrVeS/B//AJOm+MX/AHBf/SR69aoA
												KKKKACiiigAooooAKKKKACiiigAooooA8d/Zl/5LV+0R/wBlBtP/AFFPD1exV47+zL/yWr9oj/so
												Np/6inh6vYqACiiigAooooAKKKKACiiigDx3wT/ykA+Jv/ZPvCP/AKcvE9exV474J/5SAfE3/sn3
												hH/05eJ69ioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												KKKKACiiigAooooAKKKKACiiigAooooA/Kz/AINzP+Tiv2u/+xj07/0p1iv1Tr8rP+Dcz/k4r9rv
												/sY9O/8ASnWK/VOgAooooAKKKKACiiigAooooAKKKKACiiigD8rP+DVb/k3X4p/9jHb/APpMK/VO
												vys/4NVv+Tdfin/2Mdv/AOkwr9U6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
												ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8//AGstZ/4R39lf
												4magWZRY+FNUuCR1Gyzlbj8q9Arxf/gpFqf9i/8ABO7493nT7J8OfEM2T226ZcH+lehlCvjqKf8A
												PH/0pE1PhZ+ZPwG05tK+C/he2YANDpsCEDthBXXVn+FbD+y/DOn23P7mFU59hWh1r+jMZb287d3+
												Z48djzX9pGTGlaav96SQ/lt/xrs/h9H5XgnTV/6YKf51w37Sr7bfR1/vGb9Nld/4Lj8vwlpq/wDT
												rGcfVRX4Rw2+fxKzh/y06K++EWfuPE3ueGeTr+arWf3TkhYT9m+Pfwbm+4Y/iFoce70330S4/HOK
												/YCvx71R/s/xM+Fk/wB423xE8Ozbf723UoDj8cV+wlfW+Jf/ADB/4Jf+ls/G8H9r1/Q/Oj9vmP7N
												/wAFHfBswypa40nn6TrX6KwNvhU9cgGvzx/4KOp9l/bp8E3DfdaawPHtMma/QnS38zTLdv70Sn9B
												X8z8Ge7m2aR/6ep/mfuHiQ+bh/Ip/wDThr7mieiiiv0Y/HAooooAKKKKACiiigAooooAK8I/Y0/5
												Kn+0d/2U8/8AqPaHXu9eEfsaf8lT/aO/7Kef/Ue0OgD3eiiigAooooAKKKKACiiigAooooAyvHX/
												ACJGsf8AXjP/AOi2rzL/AIJ3/wDKP/4Gf9k+0D/0229em+Ov+RI1j/rxn/8ARbV5l/wTv/5R/wDw
												M/7J9oH/AKbbegD2KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8
												l+D/APydN8Yv+4L/AOkj161Xkvwf/wCTpvjF/wBwX/0kevWqACiiigAooooAKKKKACiiigAooooA
												KKKKAPHf2Zf+S1ftEf8AZQbT/wBRTw9XsVeO/sy/8lq/aI/7KDaf+op4er2KgAooooAKKKKACiii
												gAooooA8d8E/8pAPib/2T7wj/wCnLxPXsVeO+Cf+UgHxN/7J94R/9OXievYqACiiigAooooAKKKK
												ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												KKKKAPys/wCDcz/k4r9rv/sY9O/9KdYr9U6/Kz/g3M/5OK/a7/7GPTv/AEp1iv1ToAKKKKACiiig
												AooooAKKKKACiiigAooooA/Kz/g1W/5N1+Kf/Yx2/wD6TCv1Tr8rP+DVb/k3X4p/9jHb/wDpMK/V
												OgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
												ACiiigAooooAKKKKACiiigAooooAKKKKACvAf+Cqtz5P/BNT49R/8/vgHW7P6+bYTx4/8er36vmn
												/gr9qP8AZ/8AwTu+JSk/8fmmmz64yZSI8e/3unevWyGHPmWHj3nH/wBKRnVdoN+R8SAbQo9qWhlw
												30or+gq2tST82eVHY8r/AGlDuutDTrxMceuSlej+GF2+G9PH922jH/jorzb9oo+Zr+ip/sMcfVl/
												wr0zQ18vRLNf7sCDn/dFfhvBq5vEDPavlQX3U4n7hxp7nh9kNLzrP76kv8zJ8c3X9n6v4Mut237J
												4u0act/c23sRz+FfsgOlfi/8b7s6f4Y0+6Ubmt9Z0+VR6lblDX7QA8V9Z4kr3MI/Ka/8mX+Z+N4P
												eXyPz1/4Kep9l/a78C3C/e325wfaWOvv7w8/maDYt/et4z/46K+Bf+CsCfZf2ifAU33c4Ib6SRV9
												6eD5PN8JaW2c7rSI59fkFfzRwn7ufZpH+9F/gz9s48fNwtkc/wC5UX3SRpUUUV+in5AFFFFABRRR
												QAUUUUAFFFFABXhH7Gn/ACVP9o7/ALKef/Ue0Ovd68I/Y0/5Kn+0d/2U8/8AqPaHQB7vRRRQAUUU
												UAFFFFABRRRQAUUUUAZXjr/kSNY/68Z//RbV5l/wTv8A+Uf/AMDP+yfaB/6bbevTfHX/ACJGsf8A
												XjP/AOi2rzL/AIJ3/wDKP/4Gf9k+0D/0229AHsVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB
												RRRQAUUUUAFFFFABRRRQB5L8H/8Ak6b4xf8AcF/9JHr1qvJfg/8A8nTfGL/uC/8ApI9etUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/wDJav2iP+yg2n/qKeHq9irx39mX/ktX7RH/AGUG0/8A
												UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94R/9OXievYq8d8E/wDKQD4m/wDZPvCP
												/py8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
												UUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/BuZ/ycV+13/wBjHp3/AKU6xX6p1+Vn/BuZ/wAnFftd
												/wDYx6d/6U6xX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wAGq3/JuvxT/wCxjt//AEmF
												fqnX5Wf8Gq3/ACbr8U/+xjt//SYV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfJf/AAWzv/sn
												7AusRf8AQQ1/Q7AD+952p20ePx3da+tK+Of+C4s3mfsZ6RaD7118QPCgPuq65ZswP1UEV7fDabzX
												D2/nj+DM638Nnyu/DU08UHk0DrX71KV3c8s8n/aAO/xpo0f/AEyH6yf/AFq9T04bLGFeeI1H6CvK
												vjsfM+JGjr/0xj/WVq9YjXy4lX+6oFfiXh77/F+e1f79NfdBH7d4he5wfkNL+5Uf3yZ53+1fef2Z
												8C9Yu2YotmYpy46oFdWJH0x2r9tVOUH0r8Ov23bj7H+yh44uAObXTJJgD0O0Zr9xIT+6X6V9V4jS
												vSwvl7T/ANsPxvB7y+R+fv8AwWEH2T4t+AJz8w8uU4Hs8Nfdnw+k83wHorf3rCA/+Q1r4W/4LRJ9
												n8Y+AZlHzeRdnPuGhxX3H8LZPN+Gfh5uu7Tbc5/7ZrX818OLl4jzJf4H+B+0cXy5uDsll29sv/Jk
												b1FFFfoR+ShRRRQAUUUUAFFFFABRRRQAV4R+xp/yVP8AaO/7Kef/AFHtDr3evCP2NP8Akqf7R3/Z
												Tz/6j2h0Ae70UUUAFFFFABRRRQAUUUUAFFFFAGV46/5EjWP+vGf/ANFtXmX/AATv/wCUf/wM/wCy
												faB/6bbevTfHX/Ikax/14z/+i2rzL/gnf/yj/wDgZ/2T7QP/AE229AHsVFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/APk6b4xf9wX/ANJHr1qvJfg//wAnTfGL
												/uC/+kj161QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB47+zL/yWr9oj/soNp/6inh6vYq8d/Zl/
												5LV+0R/2UG0/9RTw9XsVABRRRQAUUUUAFFFFABRRRQB474J/5SAfE3/sn3hH/wBOXievYq8d8E/8
												pAPib/2T7wj/AOnLxPXsVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
												UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8ABuZ/ycV+13/2Menf+lOsV+qdflZ/
												wbmf8nFftd/9jHp3/pTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/Bqt/ybr8U/+xjt
												/wD0mFfqnX5Wf8Gq3/JuvxT/AOxjt/8A0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXxX/w
												W6vcfArwHY/8/njfSGx3Pl3sEn/stfalfCf/AAW+vidN+C2n5+W+8XeYR2PlRiT/ANlr67gSmp57
												h4vvL8IyZhinak2fPdA60UZr9mPOPIvjKftPxa0pf7sUIwP+ujmvXX5NeQ/EuTz/AI0aev3toiX/
												AMeavXt33q/E/C/38/z2p/0/t90Uft/il7mQZFS/6cX+9nkv7eNvJd/sX/E6ONf3jeHbwL9fLNfu
												Jpt0l9p8M0fMcqBlPqDX4mfth2y337LHxAhbdsk0O6U4/wCuZr9nfhnfNqfw90W4fG6azic4HGSo
												r6zxDp/7Nh6n96a+9R/yPxrCvVo+KP8AgtLbsZ/As2PlX7ShPudh/pX2b8F5fO+Efhlh/Fplv/6L
												WvkD/gtHbD+wPBU2fmW5mTHblc/0r61+AE5ufgj4VkbgtpkHT/cFfzTkmnFOPXeMH+B+08TRvwLl
												M+06y/8AJjsKKKK/Qj8kCiiigAooooAKKKKACiiigArwj9jT/kqf7R3/AGU8/wDqPaHXu9eEfsaf
												8lT/AGjv+ynn/wBR7Q6APd6KKKACiiigAooooAKKKKACiiigDK8df8iRrH/XjP8A+i2rzL/gnf8A
												8o//AIGf9k+0D/0229em+Ov+RI1j/rxn/wDRbV5l/wAE7/8AlH/8DP8Asn2gf+m23oA9iooooAKK
												KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPJfg//wAnTfGL/uC/+kj161Xk
												vwf/AOTpvjF/3Bf/AEkevWqACiiigAooooAKKKKACiiigAooooAKKKKAPHf2Zf8AktX7RH/ZQbT/
												ANRTw9XsVeO/sy/8lq/aI/7KDaf+op4er2KgAooooAKKKKACiiigAooooA8d8E/8pAPib/2T7wj/
												AOnLxPXsVeO+Cf8AlIB8Tf8Asn3hH/05eJ69ioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
												CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/g3M/5OK/a7/7G
												PTv/AEp1iv1Tr8rP+Dcz/k4r9rv/ALGPTv8A0p1iv1ToAKKKKACiiigAooooAKKKKACiiigAoooo
												A/Kz/g1W/wCTdfin/wBjHb/+kwr9U6/Kz/g1W/5N1+Kf/Yx2/wD6TCv1ToAKKKKACiiigAooooAK
												KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo
												ooAKKKKACiiigAr4D/4LYTGb4n/s52o5WTX9Xlf/AGQmmSEH/voAV9+V+f3/AAWRl+1ftAfAiD/n
												2m1a5+mbNk/rX2fh/f8At2i10U//AEiRz4r+E/l+Z4hQtFAr9hPPPHvGObj472y/3ZIx9O9exEc1
												47rD+f8AtCxr/duUH/jgNexPya/EfCF8+Ozur/1F1F91j9w8YfcwOR0v+oSm/vOI/aUtTdfADxhG
												v/LTSbhefdDX62fsx6iurfs7+CbpN2y40a1kXPXBjBr8ofjbbLffCHxJC2dsmnTDj/cNfqD+wpqb
												6z+xl8LruQhpLjwzYyMR0JMCmvvvECH/AAkUp/8ATxr/AMlPxfCv9415HgH/AAWegB+HfhCTbyup
												su7HTMT8fp+lfTn7Ms32j9n7we+7du0uHn1+Wvm//gs1bk/BnwvNn5V1tUI78wTn+lfQv7JE/wBp
												/Zo8EuP4tKi/lX8sZVpxfjF3pwf5H7dn3veH2Wy7Vqq/NnotFFFfoZ+QhRRRQAUUUUAFFFFABRRR
												QAV4R+xp/wAlT/aO/wCynn/1HtDr3evCP2NP+Sp/tHf9lPP/AKj2h0Ae70UUUAFFFFABRRRQAUUU
												UAFFFFAGV46/5EjWP+vGf/0W1eZf8E7/APlH/wDAz/sn2gf+m23r03x1/wAiRrH/AF4z/wDotq8y
												/wCCd/8Ayj/+Bn/ZPtA/9NtvQB7FRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB
												RRRQAUUUUAeS/B//AJOm+MX/AHBf/SR69aryX4P/APJ03xi/7gv/AKSPXrVABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFAHjv7Mv8AyWr9oj/soNp/6inh6vYq8d/Zl/5LV+0R/wBlBtP/AFFPD1exUAFF
												FFABRRRQAUUUUAFFFFAHjvgn/lIB8Tf+yfeEf/Tl4nr2KvHfBP8AykA+Jv8A2T7wj/6cvE9exUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
												UUAFFFFABRRRQAUUUUAflZ/wbmf8nFftd/8AYx6d/wClOsV+qdflZ/wbmf8AJxX7Xf8A2Menf+lO
												sV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8ABqt/ybr8U/8AsY7f/wBJhX6p1+Vn/Bqt
												/wAm6/FP/sY7f/0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX54f8Fb7r7V+1/8J7X/AJ9d
												F1G6I9M/J/Wv0Pr85f8AgqTL9r/b38Gw9rXwNcT/AEJvQn9a+y4Dly5xCXaMv/SWjnxX8P7jykcm
												hfvCgdaXOWr9glojhjqzx2L/AEn9oRm9LgHJ9kFewkMe30rxzwyv2j46Tt/dlJ9ewr2OvxTwVXNS
												zSt/Ni6z/FH7Z42e7Wyul/LhKS/Ay/G1l9v8IalCu3dLbOoz9K/Qz/gl3qK6t/wTm+CNym4rP4L0
												xwW6826V8B3Vst3ayRN92RSp/Kvub/gkBdtff8EtP2fppP8AWSeA9JLfX7Kma+/8QJf8I1Nf9Pf/
												AGxn4zhf4j9Dj/8AgsvCP+GefDsn8S+I4lB+ttcn+le4fsXTGf8AZV8CMeS2kxf1rxn/AILIwtJ+
												y/orL/yz8T27H6fZbsf1r1r9hObzv2RPAP8As6Uin65NfyrgHbjPErvRj+aP3DNfe8OMC+2IqL/y
												VnrVFFFfoh+PhRRRQAUUUUAFFFFABRRRQAV4R+xp/wAlT/aO/wCynn/1HtDr3evCP2NP+Sp/tHf9
												lPP/AKj2h0Ae70UUUAFFFFABRRRQAUUUUAFFFFAGV46/5EjWP+vGf/0W1eZf8E7/APlH/wDAz/sn
												2gf+m23r03x1/wAiRrH/AF4z/wDotq8y/wCCd/8Ayj/+Bn/ZPtA/9NtvQB7FRRRQAUUUUAFFFFAB
												RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeS/B//AJOm+MX/AHBf/SR69aryX4P/APJ0
												3xi/7gv/AKSPXrVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjv7Mv8AyWr9oj/soNp/6inh6vYq
												8d/Zl/5LV+0R/wBlBtP/AFFPD1exUAFFFFABRRRQAUUUUAFFFFAHjvgn/lIB8Tf+yfeEf/Tl4nr2
												KvHfBP8AykA+Jv8A2T7wj/6cvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
												UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wbmf8nFftd/8AYx6d/wCl
												OsV+qdflZ/wbmf8AJxX7Xf8A2Menf+lOsV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8A
												Bqt/ybr8U/8AsY7f/wBJhX6p1+Vn/Bqt/wAm6/FP/sY7f/0mFfqnQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
												UUAFFFFABX5r/wDBR28F/wD8FB4lzk2Hg1IPpvuVev0or8vP25NU/tP/AIKReNIgc/2boWnwHnON
												8aSfh1r77w7oqeYVZP7NOT/8miv1OXGStBepyVCDB/GigNtOfSv1GtLlpyfkzmoxvUivNHjvw5/0
												j4z3jdcGQ/qBXsVePfBv/SPivqD4+6kx/wDHxXsIr8b8DVfJsRV/mr1X/wCTWP2bx0lbOcNS/loU
												l/5Lf9QI4/Cvtv8A4I7t/wAawvgjH3t/CllCfqsYU/yr4kA3GvtT/gjjJu/4Js/CpO0GkLCPYKzK
												B+GMV93x8v8AhHg/+ni/9JkfjmF/ifIp/wDBX+ATfsqWbf8APLxBbMP+/M4/rXon/BP6czfsi+C8
												jHl2QX9a4f8A4K2xeZ+yPI2M+XrFq30++P611H/BOG5Fz+yR4Zw27y4yn0xjiv5Vw+nGlXzoL/0p
												H7djPe8NqH93FS/GB7pRRRX6IfkIUUUUAFFFFABRRRQAUUUUAFeEfsaf8lT/AGjv+ynn/wBR7Q69
												3rwj9jT/AJKn+0d/2U8/+o9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv+RI1j/rxn/wDRbV5l
												/wAE7/8AlH/8DP8Asn2gf+m23r03x1/yJGsf9eM//otq8y/4J3/8o/8A4Gf9k+0D/wBNtvQB7FRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeS/B/wD5Om+MX/cF/wDS
												R69aryX4P/8AJ03xi/7gv/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8lq/aI/7K
												Daf+op4er2KvHf2Zf+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94
												R/8ATl4nr2KvHfBP/KQD4m/9k+8I/wDpy8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/AAbmf8nFftd/
												9jHp3/pTrFfqnX5Wf8G5n/JxX7Xf/Yx6d/6U6xX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf
												lZ/warf8m6/FP/sY7f8A9JhX6p1+Vn/Bqt/ybr8U/wDsY7f/ANJhX6p0AFFFFABRRRQAUUUUAFFF
												FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAV+T/AO1Jd/b/APgp38cl6/YY9BhHHTdpkL/1r9YK/JH413X9qf8ABQf4+Xi8+Zqu
												nW+f+uNkkX/stfpHhnpjMS/+nTX/AJUp/wCRx4z4V6/oxtR3TeXbSN/dQn9KkU4qvqz+XpV0392F
												z+hr9Cx0uXDVJdov8mTgY82Jpx7yX5o8p+BY8z4hapJ6I4z9Wr16vJf2fU3+KdWk/wBkfqW/wr1q
												vyXwJj/xisKn81Sq/wDypJfofrnjxL/jKpUv5adJf+U4v9RUPNfZP/BGGfzP+Cd3gZOd1ubuBvql
												zIpx7ZFfGq9a+wv+CLMhP7BOiR9rfWdYgUf3QuoTqB+GK+447f8Awjpf9PI/+kyPyHC/xPl/kbn/
												AAVdh839j7Um/wCeeo2jH3+fH9a0f+CZNx9o/ZL0X5dvlyOnXrwtQf8ABUuLzP2NNfbbny7uzYe3
												+kIP6/rVb/glbc/aP2ULMbt3l3sqfT5U4r+U/h409aH/ALcftnNzeG1v5cV+dNH0jRRRX6IfkYUU
												UUAFFFFABRRRQAUUUUAFeEfsaf8AJU/2jv8Asp5/9R7Q693rwj9jT/kqf7R3/ZTz/wCo9odAHu9F
												FFABRRRQAUUUUAFFFFABRRRQBleOv+RI1j/rxn/9FtXmX/BO/wD5R/8AwM/7J9oH/ptt69N8df8A
												Ikax/wBeM/8A6LavMv8Agnf/AMo//gZ/2T7QP/Tbb0AexUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
												AUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf/wCTpvjF/wBwX/0kevWq8l+D/wDydN8Yv+4L/wCkj161
												QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB47+zL/AMlq/aI/7KDaf+op4er2KvHf2Zf+S1ftEf8A
												ZQbT/wBRTw9XsVABRRRQAUUUUAFFFFABRRRQB474J/5SAfE3/sn3hH/05eJ69irx3wT/AMpAPib/
												ANk+8I/+nLxPXsVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8G5n/JxX7Xf/AGMenf8ApTrFfqnX5Wf8G5n/
												ACcV+13/ANjHp3/pTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/AAarf8m6/FP/ALGO
												3/8ASYV+qdflZ/warf8AJuvxT/7GO3/9JhX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV+PGp6
												i2u/tYfHS+3Ft3jW9tc/9cJpYsZ9tuPav2Hr8Yfh/N/aHxS+NV4esnxU8WQ59fK1q7j/AKV+keHM
												uWriH3il/wCTJ/oceM2R1xPFU/ETbPDt83TbbyHr/smrg61n+MH8vwjqbcf8e0n/AKCa+6ziXLgK
												8u0Jf+ks2yeHPj6Ee84/+lI87/ZvXzL/AFx/QRfr5leqV5f+zUm221hj1ZoR+W//ABr1CvzXwLhb
												gnByfX2j++rM/SvHad+N8ZFbL2a/8pUwzivr7/gi2dv7Fckfe38Y+JIT9V1a5H9K+Qa+uP8AgjDJ
												t/ZT1qHPyxeNvELBe67tTuGP55zX13HEW8qbXScX+El+p+V4X4zuv+CnsPm/sVeLD/zzksm/8nIR
												/Wub/wCCR9yLj9lZwBjy9XnU+/yR12H/AAUjthdfsYeMlYE/LaNx7XcJ/pXB/wDBH+cv+zRfx5+7
												rEpx6ZRP8K/lfEacZUvOi/8A0pn7RhU5eHNf+7io/jBH1dRRRX6Efk4UUUUAFFFFABRRRQAUUUUA
												FeEfsaf8lT/aO/7Kef8A1HtDr3evCP2NP+Sp/tHf9lPP/qPaHQB7vRRRQAUUUUAFFFFABRRRQAUU
												UUAZXjr/AJEjWP8Arxn/APRbV5l/wTv/AOUf/wADP+yfaB/6bbevTfHX/Ikax/14z/8Aotq8y/4J
												3/8AKP8A+Bn/AGT7QP8A0229AHsVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQB5L8H/+TpvjF/3Bf/SR69aryX4P/wDJ03xi/wC4L/6SPXrVABRRRQAUUUUAFFFFABRR
												RQAUUUUAFFFFAHjv7Mv/ACWr9oj/ALKDaf8AqKeHq9irx39mX/ktX7RH/ZQbT/1FPD1exUAFFFFA
												BRRRQAUUUUAFFFFAHjvgn/lIB8Tf+yfeEf8A05eJ69irx3wT/wApAPib/wBk+8I/+nLxPXsVABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												ABRRRQAUUUUAFFFFAH5Wf8G5n/JxX7Xf/Yx6d/6U6xX6p1+Vn/BuZ/ycV+13/wBjHp3/AKU6xX6p
												0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/warf8AJuvxT/7GO3/9JhX6p1+Vn/Bqt/ybr8U/
												+xjt/wD0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX4u/Bpxdy+OrxeV1Lx54kvgfUS6tcv
												n/x6v2ir8Tf2X7ltU+EVrqHX+1rq51En186Z5P8A2av1Tw5op0MVW6p019/tH/7acOMesV6/oehZ
												rJ8ev5XgrVG/6d2/wrYK4HWsD4nt5XgDVDn/AJY4/UV9BxVV9nk2Kn2pz/8ASWetwrS9pnWEpvrU
												h/6Ujkv2bV/4lGpN/emQdPQH/GvSq87/AGcIseFb5/711j8lX/GvRK+R8Gqfs+DMBH+7J/fOT/U+
												v8ZqntONMfJfzRX3Qiv0Cvq3/gjHdbvgX4yt9vNv4w1Qk9juupW/rXyl1r6b/wCCLN75ngD4nWxY
												f6L4uuDt7rvLP+uc19fxbC+SV32cP/Skj81w/wDFXzPdP2+rVrz9kXxoi/8APtE3PtPGf6V5N/wR
												2nDfATWo/wCKPU8n8U/+tXtH7a9sLv8AZZ8aIwJ/0Hdgezqf6V4X/wAEbLgv8IPEsfaO/iYe2Vb/
												AAr+RMw04zwr70p/qfuWUrm8Ocev5cRTf3qKPsaiiiv0Y/IAooooAKKKKACiiigAooooAK8I/Y0/
												5Kn+0d/2U8/+o9ode714R+xp/wAlT/aO/wCynn/1HtDoA93ooooAKKKKACiiigAooooAKKKKAMrx
												1/yJGsf9eM//AKLavMv+Cd//ACj/APgZ/wBk+0D/ANNtvXpvjr/kSNY/68Z//RbV5l/wTv8A+Uf/
												AMDP+yfaB/6bbegD2KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												8l+D/wDydN8Yv+4L/wCkj161Xkvwf/5Om+MX/cF/9JHr1qgAooooAKKKKACiiigAooooAKKKKACi
												iigDx39mX/ktX7RH/ZQbT/1FPD1exV47+zL/AMlq/aI/7KDaf+op4er2KgAooooAKKKKACiiigAo
												oooA8d8E/wDKQD4m/wDZPvCP/py8T17FXjvgn/lIB8Tf+yfeEf8A05eJ69ioAKKKKACiiigAoooo
												AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
												ooooA/Kz/g3M/wCTiv2u/wDsY9O/9KdYr9U6/Kz/AINzP+Tiv2u/+xj07/0p1iv1ToAKKKKACiii
												gAooooAKKKKACiiigAooooA/Kz/g1W/5N1+Kf/Yx2/8A6TCv1Tr8rP8Ag1W/5N1+Kf8A2Mdv/wCk
												wr9U6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
												ooooAKKKKACiiigAooooAKKKKACiiigAooooAbNMtvC0kjBUQZYnsK/En9jhHT9k/wCG8ki4lu/D
												OnXMmeu6S2jds++TX7HfHDxF/wAIl8HvE2qeZ5f2DTZ59+cbdqE5zX5Dfs52A0r9nfwHa7dot/Du
												nxYxjG22jH9K/WvDlNYLFS7yp/gqn+Zw4z4o/P8AQ7MHFc38X5fL+HOqf7Uaj/x8V0pbO2uS+N03
												lfD66H/PRlX9c/0rr4+q+z4cxs+1Kf5H03h/T9pxLgYd6sPzM/8AZ2TZ4FnP968c/wDjkdd5XF/A
												SLyvh+v+1cO36KP6V2lcHhbS9nwngI/9O4v79f1O/wAU6ntOLcwl/wBPGvu0/QK+iP8Agihc5/4X
												Zb4OYPFMLE+u+2Df1r53r3n/AIInXP8AxXn7Q1tu/wCPfxHpbBP7u/TY2/XOa+m4o/5EOK/7c/8A
												S4nwlD+Kvn+R9aftZWzXf7NvjRV6/wBlTNz7DP8ASvmv/gi9dLJ4D8aRDrHc2jH8RN/hX1F+0fCL
												j4AeNFK7v+JLdnHuImP9K+Tv+CKVyX0T4hRbvljk08gemftX+Ffx5nGnGGX+cKn/AKSz944d97w7
												zZfy1aL++UUfc1FFFfo5+NhRRRQAUUUUAFFFFABRRRQAV4R+xp/yVP8AaO/7Kef/AFHtDr3evCP2
												NP8Akqf7R3/ZTz/6j2h0Ae70UUUAFFFFABRRRQAUUUUAFFFFAGV46/5EjWP+vGf/ANFtXmX/AATv
												/wCUf/wM/wCyfaB/6bbevTfHX/Ikax/14z/+i2rzL/gnf/yj/wDgZ/2T7QP/AE229AHsVFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/APk6b4xf9wX/ANJHr1qv
												Jfg//wAnTfGL/uC/+kj161QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB47+zL/yWr9oj/soNp/6i
												nh6vYq8d/Zl/5LV+0R/2UG0/9RTw9XsVABRRRQAUUUUAFFFFABRRRQB474J/5SAfE3/sn3hH/wBO
												XievYq8d8E/8pAPib/2T7wj/AOnLxPXsVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8ABuZ/ycV+13/2Menf
												+lOsV+qdflZ/wbmf8nFftd/9jHp3/pTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/Bq
												t/ybr8U/+xjt/wD0mFfqnX5Wf8Gq3/JuvxT/AOxjt/8A0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFF
												FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFAHi3/BRvxJ/wiH7Bfxe1TcU/s/wnqE+4HGNsDGvzg+HmntpPw/0GzYbTa6dbxEdMbY1H9K+
												8v8AgsbeNbf8EvPjpHG22W88HajbRnuGeBwMe9fEccQhiVFXCqAAPQCv17gBSjl1R20lP8or/M4M
												V8a9B1cV8fZ/L8Bj/auFX9GNdqD8wrgv2i5Nngq2H969T8tj1y+Ktb2fCWPl/wBO3+iPufCmn7Ti
												7L4/9PF+F2aXwUi8r4dWf+2zN+uP6V1dc78I4fI+HOlqf+ebH/x9q6KvU4Dpez4bwEP+nNL8YJnl
												cfVvacS5hP8A6fVPwm0Br3H/AIIsv5Hxp/aMi/576xos2fTGlxLivDj0r2j/AII63Ag/aU+OEGdr
												XH9mT4HcC1iXNepxNG+R4peUf/S4ny1H+Ij7e+OcRn+CfjCMdX0O9UfjA9fG3/BE9/IuviZC33v+
												JZ+GPtgNfaXxci+0fCjxPHjdv0m6XHrmF6+KP+CNLfZvGvxKh+6CLL5T7Nc/41/HfEGnFmWS8qq/
												8kZ+8cJvm4BzuH96g/8AypE++KKKK/SD8bCiiigAooooAKKKKACiiigArwj9jT/kqf7R3/ZTz/6j
												2h17vXhH7Gn/ACVP9o7/ALKef/Ue0OgD3eiiigAooooAKKKKACiiigAooooAyvHX/Ikax/14z/8A
												otq8y/4J3/8AKP8A+Bn/AGT7QP8A0229em+Ov+RI1j/rxn/9FtXmX/BO/wD5R/8AwM/7J9oH/ptt
												6APYqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyX4P/APJ03xi/
												7gv/AKSPXrVeS/B//k6b4xf9wX/0kevWqACiiigAooooAKKKKACiiigAooooAKKKKAPHf2Zf+S1f
												tEf9lBtP/UU8PV7FXjv7Mv8AyWr9oj/soNp/6inh6vYqACiiigAooooAKKKKACiiigDx3wT/AMpA
												Pib/ANk+8I/+nLxPXsVeO+Cf+UgHxN/7J94R/wDTl4nr2KgAooooAKKKKACiiigAooooAKKKKACi
												iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8rP+Dcz/
												AJOK/a7/AOxj07/0p1iv1Tr8rP8Ag3M/5OK/a7/7GPTv/SnWK/VOgAooooAKKKKACiiigAooooAK
												KKKACiiigD8rP+DVb/k3X4p/9jHb/wDpMK/VOvys/wCDVb/k3X4p/wDYx2//AKTCv1ToAKKKKACi
												iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
												KACiiigAooooAKKKKACiiigD5S/4LU6l9i/4J5eNLf8A6Cgj0/GfveblcfrXx43zH6V9Tf8ABcy8
												MX7G+i2g/wCYr440OxI/vCS52kfSvlkDiv3DguCWQ05dXUqflTPNxF/av0X6gOtec/tIzf8AFO2E
												frcg9fRWr0avL/2k322ulx/3nZsfTj+tfJeM1Tk4Qxnmkvvkj9M8GKfPxhg32bf3RZ23w7i8nwRp
												q+kX9TW1Wd4Sh8nwxYr6Qr/KtGvtuGaap5Phaa6Uqa+6KPieJqntM4xdTvVqP75MK9a/4JF3Bg/b
												J+LVuPuzaVZTc9chIFryWvRv+CUt35H/AAUL8fW7feuPB0c4x0wtxbqf51vxBrk2KX91fhJHjUv4
												iP0S+IcXn+ANcj6b9PuFz9Y2r4X/AOCREn2f41fESDruWLn/AHZJv8a+8PFsfneFNTXbu3Wkox6/
												Ia+B/wDglNP9m/ad8fW5baXjc7fXbM/8s1/HPE2nEeVz85r74n7twS+bg3PKf92k/umfoRRRRX6M
												fjwUUUUAFFFFABRRRQAUUUUAFeEfsaf8lT/aO/7Kef8A1HtDr3evCP2NP+Sp/tHf9lPP/qPaHQB7
												vRRRQAUUUUAFFFFABRRRQAUUUUAZXjr/AJEjWP8Arxn/APRbV5l/wTv/AOUf/wADP+yfaB/6bbev
												TfHX/Ikax/14z/8Aotq8y/4J3/8AKP8A+Bn/AGT7QP8A0229AHsVFFFABRRRQAUUUUAFFFFABRRR
												QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/+TpvjF/3Bf/SR69aryX4P/wDJ03xi/wC4L/6S
												PXrVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjv7Mv/ACWr9oj/ALKDaf8AqKeHq9irx39mX/kt
												X7RH/ZQbT/1FPD1exUAFFFFABRRRQAUUUUAFFFFAHjvgn/lIB8Tf+yfeEf8A05eJ69irx3wT/wAp
												APib/wBk+8I/+nLxPXsVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
												UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8G5n/JxX7Xf/Yx6d/6U6xX6p1+Vn/Bu
												Z/ycV+13/wBjHp3/AKU6xX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/warf8AJuvxT/7G
												O3/9JhX6p1+Vn/Bqt/ybr8U/+xjt/wD0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
												FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHxJ/wAF
												vr1ZvhJ8M9LJ5vPHGnXIX18mVWz+G6vmuvc/+C2eqGTx58BtI/5/NX1C7x6+Qls3T/gXr+deGYr9
												14RssioLvKb+9pfoebiL+0YleU/tIN5mo6PH1O1yR+K16tXkvx6/feM9Iiz/AAj9WFfAeOFTl4Vq
												R/mnTX3yR+seBtPm4qpy/lhUf3RZ6lo0fl6Rar/dgT/0EVYqOyGyyhX/AKZqB+VSV+pZdT9nhKUO
												0Yr7kj8tzGp7TF1aneUn97YDmu6/4JhzfZv+Cn/iC3B2i4+G8k5X+8V1G1TP4dK4XOK7L/gm+fsv
												/BVKRxz9o+GN3AR0xjU7Z8/+O4rl4gi5ZXiEv5X+Fmc9L40fptq8fnaTdL/ehcfoa/PT/gmJP9n/
												AG0vGtv/AH4bs5/3bgf41+iM4zA/+6a/OX/gnLmz/wCCgfiyNu8Gorgev2hDX8fcXK2c5XP/AKeS
												X3xP3DgGTlw5nlP/AKdQf3TP0cooor9DPyMKKKKACiiigAooooAKKKKACvCP2NP+Sp/tHf8AZTz/
												AOo9ode714R+xp/yVP8AaO/7Kef/AFHtDoA93ooooAKKKKACiiigAooooAKKKKAMrx1/yJGsf9eM
												/wD6LavMv+Cd/wDyj/8AgZ/2T7QP/Tbb16b46/5EjWP+vGf/ANFtXmX/AATv/wCUf/wM/wCyfaB/
												6bbegD2KiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8l+D//ACdN
												8Yv+4L/6SPXrVeS/B/8A5Om+MX/cF/8ASR69aoAKKKKACiiigAooooAKKKKACiiigAooooA8d/Zl
												/wCS1ftEf9lBtP8A1FPD1exV47+zL/yWr9oj/soNp/6inh6vYqACiiigAooooAKKKKACiiigDx3w
												T/ykA+Jv/ZPvCP8A6cvE9exV474J/wCUgHxN/wCyfeEf/Tl4nr2KgAooooAKKKKACiiigAooooAK
												KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8r
												P+Dcz/k4r9rv/sY9O/8ASnWK/VOvys/4NzP+Tiv2u/8AsY9O/wDSnWK/VOgAooooAKKKKACiiigA
												ooooAKKKKACiiigD8rP+DVb/AJN1+Kf/AGMdv/6TCv1Tr8rP+DVb/k3X4p/9jHb/APpMK/VOgAoo
												ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
												gAooooAKKKKACiiigAooooAKKKKAPzy/4LJn7f8AtU/s/wAOfl0+08Q3DL6+ZFaqPy2GvHK9X/4K
												v3f9oftx/Dq06/2b4Vubr6edO6f+068ozxX79w9h1SyjCpdYN/fKR5dWV6kvX9AryP4yjz/ippMX
												X/U/rJXrleR/EZvtXxu01f7rQj8nJr8v8cpN5FRpL7dekv8AyY/ZPAuNs+rVX9mhVf4I9ciGyJV/
												ugAUUZ4or9kjHlVkfjMpOTuwrq/2A7j7H/wU+0Ht9q8GX0GR3xMr8+3y/mK5Stz9iu9+xf8ABUD4
												eruC/bND1KDn+PEEr4H/AHzn8Kyx1P2mBxK/6dVH90G/0FF2kvVH6pSDMbfSvzn/AGGU/s//AIKS
												eJ4/ubhqC4+sqmv0aPSvzn/ZPH2D/gqHr8f3t898uT+B/pX8Wcbe7mOWT/6fW+9H7t4Zx58ozuH/
												AFD3+5n6MUUUV+jH5AFFFFABRRRQAUUUUAFFFFABXhH7Gn/JU/2jv+ynn/1HtDr3evCP2NP+Sp/t
												Hf8AZTz/AOo9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv+RI1j/rxn/8ARbV5l/wTv/5R/wDw
												M/7J9oH/AKbbevTfHX/Ikax/14z/APotq8y/4J3/APKP/wCBn/ZPtA/9NtvQB7FRRRQAUUUUAFFF
												FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeS/B/8A5Om+MX/cF/8ASR69aryX4P8A
												/J03xi/7gv8A6SPXrVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjv7Mv/Jav2iP+yg2n/qKeHq9
												irx39mX/AJLV+0R/2UG0/wDUU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf8AlIB8Tf8Asn3hH/05
												eJ69irx3wT/ykA+Jv/ZPvCP/AKcvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
												AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wbmf8AJxX7Xf8A2Men
												f+lOsV+qdflZ/wAG5n/JxX7Xf/Yx6d/6U6xX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/
												warf8m6/FP8A7GO3/wDSYV+qdflZ/wAGq3/JuvxT/wCxjt//AEmFfqnQAUUUUAFFFFABRRRQAUUU
												UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
												AUUUUAFFFFAH5r/8FJJl1L/goyoByum/D+wjx6O9/fsf/HSteb1037ZWu/29/wAFJPiZGG3f2Lpe
												kaef9km2Fxj/AMjZ/GuZr+icr0yzCR7U4/jeX6nk1Pjl6hXkOv8A+l/H63X+7Mo/LJr16vILT/Tf
												2iD3WO4f9FNfkHjK+eOWYf8AmxMPwP2rwY9yeZ4j+XDT/H/hj1/qeKKDRX7UfiYGrX7Ls/2P/gqB
												8D2Uf8fh1i3OewGkX0n/ALLVWj4Dt9l/4KZfs0t/z8a7rkPHt4a1V+f++aKn+54q/wDz5rf+m5B9
												qPqvzP1wPSvzn+BebD/grLqkbdW1C8Xj3hJr9GK/OfwC39nf8FhLqL/V+Zq9yuB3/wBEc1/EvH2m
												Iy2X/URBfefvfhP72EzqH/UJUf3H6MUUUV+jH44FFFFABRRRQAUUUUAFFFFABXhH7Gn/ACVP9o7/
												ALKef/Ue0Ovd68I/Y0/5Kn+0d/2U8/8AqPaHQB7vRRRQAUUUUAFFFFABRRRQAUUUUAZXjr/kSNY/
												68Z//RbV5l/wTv8A+Uf/AMDP+yfaB/6bbevTfHX/ACJGsf8AXjP/AOi2rzL/AIJ3/wDKP/4Gf9k+
												0D/0229AHsVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/8A
												k6b4xf8AcF/9JHr1qvJfg/8A8nTfGL/uC/8ApI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAe
												O/sy/wDJav2iP+yg2n/qKeHq9irx39mX/ktX7RH/AGUG0/8AUU8PV7FQAUUUUAFFFFABRRRQAUUU
												UAeO+Cf+UgHxN/7J94R/9OXievYq8d8E/wDKQD4m/wDZPvCP/py8T17FQAUUUUAFFFFABRRRQAUU
												UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
												QB+Vn/BuZ/ycV+13/wBjHp3/AKU6xX6p1+Vn/BuZ/wAnFftd/wDYx6d/6U6xX6p0AFFFFABRRRQA
												UUUUAFFFFABRRRQAUUUUAflZ/wAGq3/JuvxT/wCxjt//AEmFfqnX5Wf8Gq3/ACbr8U/+xjt//SYV
												+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
												UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfkd8a71tW/wCCj37SF1ndFHr2j2sJ9VXw/phb/wAf
												Lj8KXpWNJq48UftK/GzWPvf2h4ynh3ev2eKK1/TycfhWzmv6Ro4Z4ejToP7MIL7oo8fm5m35gK8f
												8B/6d8b7qTrtaRv5CvYM4rx/4Jj7Z8T76X+7byN/5EQf1r8W8Uv3me5Dhv5q8n/4Co/5n7d4V/u8
												hz7E/wAtCK/8Ccv8j2CilNJX7YfiIDrSfCH/AEb/AIKEfs23PaHxTqS7u48zQdSi/Xfj8aXNQeCr
												gWH7ZvwAufu+V40Ee708y0uIsfjvx+NFTXD1496VVffCSBbr1X5n671+c6D+yf8AgsOkv3fM1eVu
												e+bR1r9GK/Oj4in+y/8AgrLp8g/iv9/PvDIK/iXxE0WAn2xFP8z968H5XnmlL+bCVl+CP0XooHSi
												v0Y/HQooooAKKKKACiiigAooooAK8I/Y0/5Kn+0d/wBlPP8A6j2h17vXhH7Gn/JU/wBo7/sp5/8A
												Ue0OgD3eiiigAooooAKKKKACiiigAooooAyvHX/Ikax/14z/APotq8y/4J3/APKP/wCBn/ZPtA/9
												NtvXpvjr/kSNY/68Z/8A0W1eZf8ABO//AJR//Az/ALJ9oH/ptt6APYqKKKACiiigAooooAKKKKAC
												iiigAooooAKKKKACiiigAooooAKKKKACiiigDyX4P/8AJ03xi/7gv/pI9etV5L8H/wDk6b4xf9wX
												/wBJHr1qgAooooAKKKKACiiigAooooAKKKKACiiigDx39mX/AJLV+0R/2UG0/wDUU8PV7FXjv7Mv
												/Jav2iP+yg2n/qKeHq9ioAKKKKACiiigAooooAKKKKAPHfBP/KQD4m/9k+8I/wDpy8T17FXjvgn/
												AJSAfE3/ALJ94R/9OXievYqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
												gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPys/4NzP+Tiv2u/+xj07/wBKdYr9U6/K
												z/g3M/5OK/a7/wCxj07/ANKdYr9U6ACiiigAooooAKKKKACiiigAooooAKKKKAPys/4NVv8Ak3X4
												p/8AYx2//pMK/VOvys/4NVv+Tdfin/2Mdv8A+kwr9U6ACiiigAooooAKKKKACiiigAooooAKKKKA
												CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApHcRoz
												N91Rk0tUfFF39g8M6jP/AM8baR/yUmqiruwH40/A921Cx8X6hJzJqPjjxPNu/vINcvVjP/fAWu0r
												hf2bZPtfwc02876ncXuoZ9fPu5ps/wDj9d0Otf03jP4z+S+5JHix2G3T+VZyNn7qE/TivJf2eo/M
												8V6lMP4YWXP1dT/SvUvEEoh0G+k6bbeQ/wDjprzf9m+Le2rTehRfzyf6V+Fcc/vuOMjo/wAvtZfh
												FfofuHAv7rgbPa383so/i3+p6kTRSmkr9sPxEB1rKhuP7O/aM+CN3wvk/EHSI9x6AS3Cw/r5mB7k
												d61awfEh+zfEf4T3X/Pv8TPCa89P3muWMX/s/wCdTUlalU/wyX3xYdUfsdX50ftIf8S3/gqHoch5
												3Twt+fmCv0XHSvzl/bhf+y/+CjvhmXH3lsm495ZBX8U+JEf9ioT/AJa1N/ifuvg3Jf2niqT+1h6y
												/wDJT9Gl+6KKbGcxr9KdX6HHY/IgooopgFFFFABRRRQAUUUUAFeEfsaf8lT/AGjv+ynn/wBR7Q69
												3rwj9jT/AJKn+0d/2U8/+o9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv+RI1j/rxn/wDRbV5l
												/wAE7/8AlH/8DP8Asn2gf+m23r03x1/yJGsf9eM//otq8y/4J3/8o/8A4Gf9k+0D/wBNtvQB7FRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeS/B/wD5Om+MX/cF/wDS
												R69aryX4P/8AJ03xi/7gv/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8lq/aI/7K
												Daf+op4er2KvHf2Zf+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94
												R/8ATl4nr2KvHfBP/KQD4m/9k+8I/wDpy8T17FQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+Vn/AAbmf8nFftd/
												9jHp3/pTrFfqnX5Wf8G5n/JxX7Xf/Yx6d/6U6xX6p0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf
												lZ/warf8m6/FP/sY7f8A9JhX6p1+Vn/Bqt/ybr8U/wDsY7f/ANJhX6p0AFFFFABRRRQAUUUUAFFF
												FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABXJfHrxFH4T+CvirUZNoS10u4YknH8BH9a62vBf+CofjFvAP8AwT8+K2rq/ltZ6HIQ2OmX
												Rf616OT4dYjH0KEtpTivvkkTUlaLZ+bH7PGmnR/gD4JtW+9DoNkrn1byE3H8812NZ3g7S/7D8IaT
												Zf8APnZxQ49NqBf6Voiv6HrK1SS82eStjK8dz/ZfB+pN/wBO7j8xj+tcZ+zbDt0PUpD/ABzKM/QG
												um+Llx9m+HWpydGCov5yKP61i/s8RbPBdxJj/WXLD8gP8a/Ds7ftvEzAUf5MPOf3ykv0P23I/wBz
												4Y5hW/nxEIfdGL/U7zvRRRX7afiQVz/j+TydU8BzD/l1+Ing659v3fiTTX59vl59q6CuV+Ltz9g8
												O6TdfL/ofiXQrn5ug8vVrN+fb5efaqjR9rJUv5tPv0C9tT9mIX8yFW/vAGvzn/4KSwGy/by8H3AO
												PMgsOntcvn+dfolpMnm6Vat/eiU/oK/Pv/gqZb/Zf2svAlz/AM9IoRx/szg/1r+KfExcuU838tSH
												/pSP3DwZ97iJ0/5qVZf+SM/Qizk820ib+8gP6VJVLw3N5/h3T5P79tG35qKu195Sd4J+R+VVI8s2
												vMKKKK0ICiiigAooooAKKKKACvCP2NP+Sp/tHf8AZTz/AOo9ode714R+xp/yVP8AaO/7Kef/AFHt
												DoA93ooooAKKKKACiiigAooooAKKKKAMrx1/yJGsf9eM/wD6LavMv+Cd/wDyj/8AgZ/2T7QP/Tbb
												16b46/5EjWP+vGf/ANFtXmX/AATv/wCUf/wM/wCyfaB/6bbegD2KiiigAooooAKKKKACiiigAooo
												oAKKKKACiiigAooooAKKKKACiiigAooooA8l+D//ACdN8Yv+4L/6SPXrVeS/B/8A5Om+MX/cF/8A
												SR69aoAKKKKACiiigAooooAKKKKACiiigAooooA8d/Zl/wCS1ftEf9lBtP8A1FPD1exV47+zL/yW
												r9oj/soNp/6inh6vYqACiiigAooooAKKKKACiiigDx3wT/ykA+Jv/ZPvCP8A6cvE9exV474J/wCU
												gHxN/wCyfeEf/Tl4nr2KgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK
												KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8rP+Dcz/k4r9rv/sY9O/8ASnWK/VOvys/4
												NzP+Tiv2u/8AsY9O/wDSnWK/VOgAooooAKKKKACiiigAooooAKKKKACiiigD8rP+DVb/AJN1+Kf/
												AGMdv/6TCv1Tr8rP+DVb/k3X4p/9jHb/APpMK/VOgAooooAKKKKACiiigAooooAKKKKACiiigAoo
												ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK+TP+C2Wt
												LZ/8E+/FGls3/IzXFvpO3+/vYvj/AMh19Z18R/8ABc26a5+CHwu0qNv+Qn8RdP8AOT+/Cltdl/1K
												19BwpByzjD2W00/u1/QxxH8NnzXmhvmoDc0d6/dpSvJs804/45z+T8ObpOnnOi/+Pqf6UnwKg8jw
												DGcf6yVm+vA/wql+0Vc+T4Pt4xn97chfyBP9K3vhTbfZvh9po/vR7jX4jh/9o8T6lT/n1hox++cn
												+p+34j/Z/C6nT/5+4mUvuhFfodBRRRX7YfiAHpXB/tNXf9m/BLWLwbR/Z7W95k9B5VxFJk+w2/lX
												eda83/bEl+y/spfEafp9j8OXtzn08uBpM/htzXdldvrtG/8ANH80TU+Fn7UeFJfP8L6bJ/ftYm/N
												BXwf/wAFcovsnxv+Hlzj7ySdP9mSE/1r7o+H0nneAdDf+9p8B/8AIa18Q/8ABZ1Psnir4a3P94X4
												6f3Tan+tfxF4pR/4Qa8u0oP/AMqRP3DwR14uw0P5o1V/5Smfb3w+m+0eAtDk/wCemnwN+ca1sVzn
												wen+1fCPwrJ/z00i0b84UNdHX2eDlehB+S/I/M8dHlxNSPaT/NhRRRXQcoUUUUAFFFFABRRRQAV4
												R+xp/wAlT/aO/wCynn/1HtDr3evCP2NP+Sp/tHf9lPP/AKj2h0Ae70UUUAFFFFABRRRQAUUUUAFF
												FFAGV46/5EjWP+vGf/0W1eZf8E7/APlH/wDAz/sn2gf+m23r03x1/wAiRrH/AF4z/wDotq8y/wCC
												d/8Ayj/+Bn/ZPtA/9NtvQB7FRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
												AUUUUAeS/B//AJOm+MX/AHBf/SR69aryX4P/APJ03xi/7gv/AKSPXrVABRRRQAUUUUAFFFFABRRR
												QAUUUUAFFFFAHjv7Mv8AyWr9oj/soNp/6inh6vYq8d/Zl/5LV+0R/wBlBtP/AFFPD1exUAFFFFAB
												RRRQAUUUUAFFFFAHjvgn/lIB8Tf+yfeEf/Tl4nr2KvHfBP8AykA+Jv8A2T7wj/6cvE9exUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
												FFFABRRRQAUUUUAflZ/wbmf8nFftd/8AYx6d/wClOsV+qdflZ/wbmf8AJxX7Xf8A2Menf+lOsV+q
												dABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8ABqt/ybr8U/8AsY7f/wBJhX6p1+Vn/Bqt/wAm
												6/FP/sY7f/0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfB3/AAWdv21Dx/8AA3Q16TX2qasw7f6N
												Har/AO16+8a/Ob/gqf4pGtft3+CNB6nw/wCDJ9Tx/d+13bRfr9j/AEr7Xw+iv7bpze0Yzf8A5JJL
												8WjnxX8N/L8zyjHNB5ooFfr5555j+0jdf6Fp8Oerl/0IrvPB9qbLwrYQ91iArzX9oyXz9f023XvE
												c/UtXrFinlWUK/3UA/SvxLgv/aOPc7xD/wCXaowXzi2z9v40/wBn4ByTD/8APx1pv5SSRJRRRX7a
												fiAZxXn/AO1hYf2p+yz8Sbf5T9o8LanFg9ObSUV6BXK/Ha1+3fA7xlAOs2hXycjPW3cV1YF2xNN/
												3l+aJlsfrd8CdV/tr4MeFbrLHztLtzlhz/qwK+QP+C2NmZNP+HM/OIW1JT/wL7J/hX0v+xDrH9v/
												ALJPw/vP+e2jwn727tjr+FfP/wDwWfsvN+H3g245/c3dyv8A30If/ia/jPxWo2yTG0+zX4VI/wCR
												+0eC1bk4xwMvOa++nNfqfUn7Pdx9q+A3gt/XQ7IflAgrsK8//ZUuvtn7N/gqTOf+JRbrx7IB/SvQ
												K+gyuXNg6T/ux/JHwudw5Mxrx7Tn/wClMKKKK7jywooooAKKKKACiiigArwj9jT/AJKn+0d/2U8/
												+o9ode714R+xp/yVP9o7/sp5/wDUe0OgD3eiiigAooooAKKKKACiiigAooooAyvHX/Ikax/14z/+
												i2rzL/gnf/yj/wDgZ/2T7QP/AE229em+Ov8AkSNY/wCvGf8A9FtXmX/BO/8A5R//AAM/7J9oH/pt
												t6APYqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyX4P/wDJ03xi
												/wC4L/6SPXrVeS/B/wD5Om+MX/cF/wDSR69aoAKKKKACiiigAooooAKKKKACiiigAooooA8d/Zl/
												5LV+0R/2UG0/9RTw9XsVeO/sy/8AJav2iP8AsoNp/wCop4er2KgAooooAKKKKACiiigAooooA8d8
												E/8AKQD4m/8AZPvCP/py8T17FXjvgn/lIB8Tf+yfeEf/AE5eJ69ioAKKKKACiiigAooooAKKKKAC
												iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/K
												z/g3M/5OK/a7/wCxj07/ANKdYr9U6/Kz/g3M/wCTiv2u/wDsY9O/9KdYr9U6ACiiigAooooAKKKK
												ACiiigAooooAKKKKAPys/wCDVb/k3X4p/wDYx2//AKTCv1Tr8rP+DVb/AJN1+Kf/AGMdv/6TCv1T
												oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
												AooooAKKKKACiiigAooooAKKKKACvyw/bc1ZPF3/AAVG8a3itu/sHwZo+gHB4Rlub+6I+uLpfwxX
												6n1+QvjO+Hib9sf9oDWt3mJceNhaW7ekUGmafEVH0lWX8zX6J4c4eE8ViKsvs09PVzivyucmMk1F
												LzLXQUoGTx060maAea/UDiPH/jGftvxY0+3+9/qVx9Wr2BE2RKPQV4/rQOs/HyFP+ecwX/vgE/0r
												2LOc1+I+E37/ADPOsevtYjlv/giv8z9v8Wv9nyvJMB/Lh+a3+OX/AABtFFFftx+IBWX44sf7R8E6
												xbbf9fYzx49d0bD+talDKJVKt8ytwR61VOTjJSXQD7t/4JT6z/wkH/BO74TXmQ3naGnI9ncf0rhP
												+CxliJvgVoVxjmHUiufTcv8A9jW5/wAEW5G/4dhfCOGRt0lrpLQtnrkTydah/wCCvFl9o/Zdt5F6
												w6xD+RST/wCtX8o+K1F/Ucypvo5/hK/6H6j4V1/ZcUZfNf8APyK+/T9T1X9ia8+3fsreCZM5/wCJ
												cq/kSP6V6nXi3/BPK7+2fse+C2/iW3kQ+2JnFe01WQz5stw8v7kfyR4nFMOTOcXHtVqf+lMKKKK9
												Y8EKKKKACiiigAooooAK8I/Y0/5Kn+0d/wBlPP8A6j2h17vXhH7Gn/JU/wBo7/sp5/8AUe0OgD3e
												iiigAooooAKKKKACiiigAooooAyvHX/Ikax/14z/APotq8y/4J3/APKP/wCBn/ZPtA/9NtvXpvjr
												/kSNY/68Z/8A0W1eZf8ABO//AJR//Az/ALJ9oH/ptt6APYqKKKACiiigAooooAKKKKACiiigAooo
												oAKKKKACiiigAooooAKKKKACiiigDyX4P/8AJ03xi/7gv/pI9etV5L8H/wDk6b4xf9wX/wBJHr1q
												gAooooAKKKKACiiigAooooAKKKKACiiigDx39mX/AJLV+0R/2UG0/wDUU8PV7FXjv7Mv/Jav2iP+
												yg2n/qKeHq9ioAKKKKACiiigAooooAKKKKAPHfBP/KQD4m/9k+8I/wDpy8T17FXjvgn/AJSAfE3/
												ALJ94R/9OXievYqACiiigAooooAKKKKACiiigAooooAKKKKACiiigAorifjV+0X4L/Z50i3vfGGv
												WujxXblIFcNJJMR12ogLEDIycYGRnqK8b1H/AIK1fB6zvI44tWvrpHYAyx2kgVfc7gD+lc1bGUKW
												lSSR7WW8O5pj482DoSmu6Tt9+x9NUVifD74jaH8VPC1rrXh/UrXVdMvEDxzwPuHIzgjqrDupwQeC
												K266IyTV0eRUpzpycJpprdPRoKKKKZAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5W
												f8G5n/JxX7Xf/Yx6d/6U6xX6p1+Vn/BuZ/ycV+13/wBjHp3/AKU6xX6p0AFFFFABRRRQAUUUUAFF
												FFABRRRQAUUUUAflZ/warf8AJuvxT/7GO3/9JhX6p1+Vn/Bqt/ybr8U/+xjt/wD0mFfqnQAUUUUA
												FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
												UUUAFFFFABRRRQAUUUUAQ6jex6bp9xcSHbHbxtI59ABk/wAq/G/4Y3J1hfFGsM26TX/FetX5bP3k
												OoTpEf8Av0kdfq1+1F4uj8B/s4eOtWkk8v7FoV4yN/tmFlT82IFfkz+zzazWnwM8J/aBi6uNLgur
												j/rrKgkf/wAec1+r+HeFSwmIxXXmhH5Wk3+KRw4uWqR2QXFLjFJmmzyeRC8jEbYxuP0FfcV6ip05
												TfRN/cZUKftKkaa6tL72eP8AgI/2x8cprrqqTTSdfVWA/nXsWMmvIf2eLY3Xia+un+ZkhOPqWFev
												givx7wLot5DWxb/5fV6tT77L9D9l8dqiWf0cJHajQpU/uu//AG4TPFFBFFfsx+KhQRxRRnigD7G/
												4IvXHmf8E+PB8PP+hS3Vvz22zN/jW5/wVSs/tX7JGpNjPkXsEn6kf1rlf+CK0/8AxhvdWv8A0DvF
												OqWuPTbKDj9a73/gpfZ/a/2PPFDYz5Bhk+n71R/Wv5v8X6KUs2prp7X9WfoHhzU5eIMul/09p/8A
												pSGf8EzL37X+yF4fX/n3kmj/APHs/wBa9+r5p/4JQah9u/ZQiX/n21SeL/yHE3/s1fS1fMcIVOfJ
												MLL+5H8jo8QKPsuJcdD/AKez/FthRRRX0Z8eFFFFABRRRQAUUUUAFeEfsaf8lT/aO/7Kef8A1HtD
												r3evCP2NP+Sp/tHf9lPP/qPaHQB7vRRRQAUUUUAFFFFABRRRQAUUUUAZXjr/AJEjWP8Arxn/APRb
												V5l/wTv/AOUf/wADP+yfaB/6bbevTfHX/Ikax/14z/8Aotq8y/4J3/8AKP8A+Bn/AGT7QP8A0229
												AHsVFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5L8H/+TpvjF/3B
												f/SR69aryX4P/wDJ03xi/wC4L/6SPXrVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjv7Mv/ACWr
												9oj/ALKDaf8AqKeHq9irx39mX/ktX7RH/ZQbT/1FPD1exUAFFFFABRRRQAUUUUAFFFFAHjvgn/lI
												B8Tf+yfeEf8A05eJ69irx3wT/wApAPib/wBk+8I/+nLxPXsVABRRRQAUUUUAFFFFABRRRQAUUUUA
												FFFFABWD8UfiDZfCn4d6z4j1Fttno9q9zJzjdtHCj3JwB7mt6vjf/gst8aJPBXwN0zwrazeXc+KL
												zNwo6tbRKSw/7+GL8q5MdiVh6Eqz6L8en4n0HCuSyzfNqGXR2nJJ26R3k/kkz8/v2lP2h9c/aV+J
												t54g1q4eRWYpaQYwltCD8qgdOnU9zXmVv4k0+61ebT4r61kvrcBpbdZQZIwRkZXqMjms/wCJ3ise
												CPAupaln95bwnyh6ueF/U/pXzlp2qXPge7s/ERZ5dRt5vPvGz81xvPzqfbnj0Ar88w+BnjFOtUlq
												9vN/1of6BYHB4fAYeGEwsVGEFZJdF/W76n6U/sC/tgal+zT8WdPhvL6b/hEdQm8vUbbOUXcNvmDP
												QqcH3xX7ERyLKgZWDKwyCOhr+fW0u0vbSOaJg0cyB0I7qRkGv2m/YC+Ksnxf/ZR8J6pcTfaL6K2N
												ncuT8zSRMYyx+u3P4173C+Mm3LC1Omq/Jr8vxP5v8e+F6NF0c6w8bOTcJ26veL9X7yb66Hs1FFFf
												YH82hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wbmf8nFftd/8AYx6d/wClOsV+
												qdflZ/wbmf8AJxX7Xf8A2Menf+lOsV+qdABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8ABqt/
												ybr8U/8AsY7f/wBJhX6p1+Vn/Bqt/wAm6/FP/sY7f/0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf
												LH/BZ3xjN4T/AOCe3jCG0k8u/wBcudP0y25+8XvIWcf9+kkr4u0nTI9F0m1s4V2w2sSQoPRVAA/Q
												V9Hf8FwdVGr6J8EPCqyYbUvG76vcxA/661tNNu43BH90S3duc9iF9a+eSSDX7hwZho0skp1FvUlN
												v5WivyZ5uIlepYAM1m+Nrz7D4P1SboVtZdv12HFaXU1yvxrv/sPw8vgOGlKoPcEgH9KXGOOWDyPF
												4mX2acvyse/wbgHjc9wmGX2qkfzT/Q5/9nCzC6TqFx3aQKPpivShXF/AOw+zeAlfo00rN+HGK7Qn
												IxXz3hHgnheEcDTe7hzP/t6Tf6n0fi5jvrfF+OqLZT5V/wBuxS/QM0UE5FFfox+bhRRSk5oA+rf+
												CL90E+Anjix723jnU5foJGQj+Veuf8FB7L+0P2OvHEY+99kjYfhPHXgf/BGDWFk/4XBpe75rHxBD
												cFfQTJIR+e2vpr9r7T/7V/Zp8YW/XfYk/k6n+lfz/wCLFLnxWZxX2ozf/gUL/qfYcF1vZZtgar+z
												Vpv7po8V/wCCOV6bn9mPWY2+9B4knUfT7Nan+pr6yr41/wCCMuob/g54ptf7mttLj6wQj/2Wvsqv
												zvgGpzcP4V/3bfc2fVeK9Pk4txy/v3+9JhRRRX2B+ehRRRQAUUUUAFFFFABXhH7Gn/JU/wBo7/sp
												5/8AUe0Ovd68I/Y0/wCSp/tHf9lPP/qPaHQB7vRRRQAUUUUAFFFFABRRRQAUUUUAZXjr/kSNY/68
												Z/8A0W1eZf8ABO//AJR//Az/ALJ9oH/ptt69N8df8iRrH/XjP/6LavMv+Cd//KP/AOBn/ZPtA/8A
												Tbb0AexUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf8A+Tpv
												jF/3Bf8A0kevWq8l+D//ACdN8Yv+4L/6SPXrVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjv7Mv
												/Jav2iP+yg2n/qKeHq9irx39mX/ktX7RH/ZQbT/1FPD1exUAFFFFABRRRQAUUUUAFFFFAHjvgn/l
												IB8Tf+yfeEf/AE5eJ69irx3wT/ykA+Jv/ZPvCP8A6cvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQA
												UUUUAFfk3/wWf+LcOo/tFSQSSlrLwrpixsv92RnYv+eEr9Yp5ltoHkYhVjUsxPYCv54f+CkPxjk+
												IvxU1y9EjeZrmpvO3PJRPlx+eK+O42x31bAebf8AX4n9CfRv4f8A7R4llWe1OP8A6U7P/wAl5jwb
												4rfFy8+Ia2unuqW9it4k7Ko5dVBGD9dwP4VSv7VbyylibDK6EfpWL4p05rDxFJb9FsrWDfx/y0k3
												s3/jojrW0ef7RpsbdwNpz7V8twzi8TSn9TxT1spr59PyP7Q4hwOF9hHF4NWjzOD9V1Pav2dNdbXv
												g/owkz5unxf2dIe5aD90T+JSv1V/4Ik/EFr7wN4o8NySFmsbhbuFc/cRsA/+PNX5Ffsr3nkWPiLT
												S3/HvqJmQeqyIrk/99Ma/RD/AII0+MP7B/ajutNMmF1rSpYQuepQrJ/7JXs4N/V825V1dvvR+J+K
												2XrGcK4hPemlNesX/lc/VCiiiv0E/hcKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD8r
												P+Dcz/k4r9rv/sY9O/8ASnWK/VOvys/4NzP+Tiv2u/8AsY9O/wDSnWK/VOgAooooAKKKKACiiigA
												ooooAKKKKACiiigD8rP+DVb/AJN1+Kf/AGMdv/6TCv1Tr8rP+DVb/k3X4p/9jHb/APpMK/VOgAoo
												ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
												gAooooAKKKKACiiigAooooA/N/8A4KfeM4/Gv7fPhXQV+dvAPgy7u5R2V9Uu7YRn640yUD2Jry/O
												aj+JniyT4oftrfGrxNJyttrMXhe1b/npb2KvIpHtuu5B9Qak61/Q+V4aOHwFChFWtCN/V6v8WeTO
												V5N+YV51+0bf+ToVjbgkedKSR6gf/Xr0ULXkf7QVx/aHifTbJOSq7ce7EY/nX5l424x0eEsRSi9a
												rhBespL9Ez9Y8EMGq/F2Hqy2pKc3/wBuxf6tHoXw307+zvBGmx42t5Csw9yBmtqkt4Fs7dY4+FjA
												UfSlr9EyLBrCZdQwsfsQjH7opH53n2NeMzLEYp/bnKX3ybCijPFFeseSFFAOKOpoA9p/4Ivag0f7
												Rf7RGntwsX/CPXKf7W+C73Y+hA/Ovtv472H9p/BrxNCRndp0xx9FJ/pXwf8A8EjtQXTv24fizY5w
												dU8O6fd4/veS4jz+HnfrX6C/EC2+2+BdZh/562My/mhr8T8SMJJY+spfbhF/fBI9rJ6zp1aVSP2Z
												J/c7nxZ/wRa1Xfpvjey3f6uaCfH+8CP/AGWvuqvgH/gj1/xKPiz8RtP6bY4QB/uSyj+tff1fj3hz
												O+Q0V2cl90mfpnjFTceK8TJ/aUH98IhRRRX3J+YhRRRQAUUUUAFFFFABXhH7Gn/JU/2jv+ynn/1H
												tDr3evCP2NP+Sp/tHf8AZTz/AOo9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv+RI1j/rxn/8A
												RbV5l/wTv/5R/wDwM/7J9oH/AKbbevTfHX/Ikax/14z/APotq8y/4J3/APKP/wCBn/ZPtA/9NtvQ
												B7FRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeS/B/8A5Om+MX/c
												F/8ASR69aryX4P8A/J03xi/7gv8A6SPXrVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjv7Mv/Ja
												v2iP+yg2n/qKeHq9irx39mX/AJLV+0R/2UG0/wDUU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf8A
												lIB8Tf8Asn3hH/05eJ69irx3wT/ykA+Jv/ZPvCP/AKcvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQ
												AUUUUAef/tT/ABBi+F37O/jDWpH8v7LpkscbZ6SSDy0/8eda/nM+KWof8Jr8b7a2Zt0cMqpJnp94
												s/6V+2n/AAWe+Ja+EP2XotJDjdr2oRRyruwRFHmbP/fUSj8a/CO01KS4m8Ua4+VktbCd42P/AD1f
												Eafq9flfHVR4nHYfAR6tX+bP7h+jDlbweRY3OZ/abUX/AIVb82zGuLxfEra3qIX/AI/ryRkz2EYE
												Q/8AQDR4Wm3W0kf91s/nU2h2P2TQIIW+95WW/wB48n9Sar6RaSabeIHUqt1GZE9wHZf5qarNLUc3
												w9VbSTi/u0P2/L5e2yjEUZbxakvv1/A7b9n3UP7O+MmoW7N+71DTVZRnq6s2f/HQK+1v2CvGX/CD
												/td+BLksUW61aCwY+00ixH/0KvhHwJcf2Z8afC9zuwskk1s/vvjYL/48a+pvAfiJvCHjjRdWXO7S
												7+C7GPWORX/pXZmbdPF06q7J/ifEZrhFisur4aW0oyX3o/fIHIoqj4bv11Pw/Y3CsGWaBHBHfIFX
												q/Rk7q5/nRKLjJxfQKKKKCQooooAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/AINzP+Tiv2u/
												+xj07/0p1iv1Tr8rP+Dcz/k4r9rv/sY9O/8ASnWK/VOgAooooAKKKKACiiigAooooAKKKKACiiig
												D8rP+DVb/k3X4p/9jHb/APpMK/VOvys/4NVv+Tdfin/2Mdv/AOkwr9U6ACiiigAooooAKKKKACii
												igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
												ACsX4k+N7X4Z/DvXvEl8wWz8P6dcalOT0EcMbSN+imtqvmL/AILDfESfwB+wH4wt7OTbqHiu40/w
												1BGDzOl7ewwXC/hatcMfZTXoZTgXjcdRwi/5eSjHyV2ld+S6k1JcsXLsfAHwXZ73wR/a0zGS68RX
												lxq00h6yGeVmU/8AfGz8q6zNU/Dejp4c8O2Gnx7RFY20dugH91FCj+VXMV/RWIqc9WUvM8iOiAHN
												eO6sf+Eq+PUaAblt7pFI9oyM/wDoJr2J2EKlmbaqjJPpXkHwPgOvePr/AFJhnaHlyfVyf8a/C/Fx
												PHZhk+Rx/wCXtdzfpSSb/wDSj9x8In9Ry/Oc9f8Ay6oKCfnVdtP/AAE9hLZptFFftx+HhRRRQAUD
												migUAdn/AME0L1tL/wCCqFzZ/wAGr/DDU7s+5g1PSIx/6ONfprq1v9s0q5h/56RMn5givy9/YdvF
												0X/gqJ4EmJx/anhHW9KU/wB7L2lzj/yWz+FfqVX5X4mJSzKm+jpQ/Jr9DuwMmo37M/P3/gmZL/Y3
												7aPxH0zpxeDH/XO6x/7NX6BV+e37Gzf8Ir/wU78dW7fKLptSQAnqXuY3FfoTX8++GrayudJ/ZqzX
												4n7N40RTz2nXX/LyjSl/5Lb9Aooor9CPyMKKKKACiiigAooooAK8I/Y0/wCSp/tHf9lPP/qPaHXu
												9eEfsaf8lT/aO/7Kef8A1HtDoA93ooooAKKKKACiiigAooooAKKKKAMrx1/yJGsf9eM//otq8y/4
												J3/8o/8A4Gf9k+0D/wBNtvXpvjr/AJEjWP8Arxn/APRbV5l/wTv/AOUf/wADP+yfaB/6bbegD2Ki
												iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8l+D/8AydN8Yv8AuC/+
												kj161Xkvwf8A+TpvjF/3Bf8A0kevWqACiiigAooooAKKKKACiiigAooooAKKKKAPHf2Zf+S1ftEf
												9lBtP/UU8PV7FXjv7Mv/ACWr9oj/ALKDaf8AqKeHq9ioAKKKKACiiigAooooAKKKKAPHfBP/ACkA
												+Jv/AGT7wj/6cvE9exV474J/5SAfE3/sn3hH/wBOXievYqACiiigAooooAKKKKACiiigAooooAKK
												KbLKsETO7BVUEsxPAFAH5Q/8F9PjL5njmPRYZwYtE0tQ6Dp5sz7fzAJr8t7+c2Xw1htl5m17V4oZ
												AevkxI0pP/faxj8a+iP+Cl/xtb4v/F3VtSWdpY9Y1CS5iz2hBOxfoOK+e/EFrt8U6bZ8bdH0z5x2
												E0zgn8QIh/31X5DRqfXuI5V94003+i/Fn+lfB+TvI+BsNgWrTnbmXnuye0t2uriOGMZaRgij3PAr
												rf2hfAH/AArvXPDtvtZSLJEbPZmUSt/49IaPgL4Vbxj8XNDs9m+P7Sssg9FUgk/yr1D/AIKI6N5G
												p2F8q8KqHIHckr/JRX0vE+VP+xIZv1p16a/7dcZJ/jyni5TxNGPFtPIb6VaFVtf3ly8v4cx87XN6
												ukaxo9+3Sx1K3mJ/2RIuf0r6h618m/ECFrjwTqXl58zyGZCOxAyK+qNG1Nda0m3u48bLhBIPcGuP
												OtaVKa8//bbHt04+9KDP3M/ZG8Wf8Jz+zT4M1Ync15pkbn68j+lejV86/wDBK/xL/wAJH+xr4dG7
												c1hJNaH22Oa+iq+7wM+fDwk+qX5H+ePFGFWHzjFUFtGpNfLmdgooorqPBCiiigAooooAKKKKACii
												igAooooAKKKKACiiigD8rP8Ag3M/5OK/a7/7GPTv/SnWK/VOvys/4NzP+Tiv2u/+xj07/wBKdYr9
												U6ACiiigAooooAKKKKACiiigAooooAKKKKAPys/4NVv+Tdfin/2Mdv8A+kwr9U6/Kz/g1W/5N1+K
												f/Yx2/8A6TCv1ToAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo
												oooAKKKKACiiigAooooAKKKKACiiigAooooAK+Bv+Cw3xAj8T/GD4QfDtf3i2d1e+NL0A/Kq21s9
												lGje5k1FXA/6ZZ7V981+Snxx8e/8Lu/bt+K3ihWdrDQblfCNgrciNrR3W5ZfZ3EZ/wCAivueAcC6
												2YvESV40otv1fux+5u/yObFStC3ci70ZxRRX62cBg/FDWP7E8DX0mdrSIY0PoSOK5n9nXSTb+Hbq
												6Zf+PiTCn2H/ANeo/wBo3WfI0qxsVbmZjIw9hjH9a634baP/AGF4H0+D+JoVkYehYBj/ADr8Npt5
												r4mSa1hgqP3TqNfnH8j9zmllPhkk9J42v98Ka/8AkvzNuiiiv3I/DAooooAKOtFFAGh8Ap/7F/4K
												B/s+327atx4g1PTpG7BX8P6tIM/V4UH1Ir9YK/H3/hIl8G/HL4P60zbU0/xzYxFv7v2mOeyH5m5A
												/Gv2Cr8x8RcPJV8PiHtKDX/gMn/8kdmElo0fnT4buv8AhC/+CuWpQfd+26iYvr5kUb1+i1fnP+1K
												v/CAf8FQNF1L/V/aja3eemc748/+OV+jFfztwHJQq4/Cr7FaT/8AAv8Ahj9o8U4yq0Mpxr+3hoL5
												x0f5hRRRX6GfkYUUUUAFFFFABRRRQAV4R+xp/wAlT/aO/wCynn/1HtDr3evCP2NP+Sp/tHf9lPP/
												AKj2h0Ae70UUUAFFFFABRRRQAUUUUAFFFFAGV46/5EjWP+vGf/0W1eZf8E7/APlH/wDAz/sn2gf+
												m23r03x1/wAiRrH/AF4z/wDotq8y/wCCd/8Ayj/+Bn/ZPtA/9NtvQB7FRRRQAUUUUAFFFFABRRRQ
												AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeS/B//AJOm+MX/AHBf/SR69aryX4P/APJ03xi/
												7gv/AKSPXrVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHjv7Mv8AyWr9oj/soNp/6inh6vYq8d/Z
												l/5LV+0R/wBlBtP/AFFPD1exUAFFFFABRRRQAUUUUAFFFFAHjvgn/lIB8Tf+yfeEf/Tl4nr2KvHf
												BP8AykA+Jv8A2T7wj/6cvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQAV4/wDt4/Fdfg7+yr4w1RZf
												KurixewtiDhhLOPKUj6Fwfwr2Cvz7/4Lf/GSPT9N8N+E4rgqqrJqV8qngKuNob/0KvOzbFLD4SdS
												9tNPV7H2Xh/kbzfiDDYK14uScv8ADHV/elb5n5EfFq7XxN8XIbUt/o9qVjkz0ULkv+QBritCvX1u
												a+1WRSr6rctOAf4FwFA/Q/nUmr69JJZ63qzZ+1Xim2hHdnnYRtj/AHUd2/4DVi0tls7WOJRhY1Cj
												Ffm3B9FujVxklrUlp6L/AIJ/o/xRL2UqWBj/AMu4q/qz6M/4J/8Agn7d4k1jXJE+WyiS2iJ7lyxb
												H02D866b/goNov2r4bw3QAJj6n02kEf+hGu2/ZF8Fnwd8FdP8xAtxqDPdSccjJwB+Qz+NQ/tg6D/
												AG18FdRXbuaMY/P/APVX75xhkPJ4e1qNveUY1PmpRk/wR/F3D3Fv1jxcw+K5v3aqeyXnHlcfxbuf
												DCRLqGkrG+NssQDD8K9s/Z21JtS+CPhmSQ7pFsI0kJ/vAYP8q8Q0KTfpkef4cj8q9d/ZcuN3wu+y
												5+axvbmDHoomcL+lfileftcsp1f8P4p/5H9bYyn7PGVIeb/M/YH/AIIreKRqnwI17S92f7K1BWx6
												ebvb/wBlr7Or86f+CHnisW/izxpoe7m6tIr3bn/nm4TP/kX9a/Ravschqc+BhfzX4s/g7xYwiw/F
												WLitm4y++MW/xuFFFFewfnQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAflZ/wbmf8nFftd/9
												jHp3/pTrFfqnX5Wf8G5n/JxX7Xf/AGMenf8ApTrFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
												B+Vn/Bqt/wAm6/FP/sY7f/0mFfqnX5Wf8Gq3/JuvxT/7GO3/APSYV+qdABRRRQAUUUUAFFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
												AHE/tK/GW2/Z3/Z68ceO7uNZofB+hXuseSTj7QYIHlEY92KhR7mvyd+DWgzaH8O9PN5I02pX6/br
												6Z/vTTy/O7n3JNfYH/BZv4iJqvgfwX8LrW4AuvF2t2+o6lErfN/Ztm/2iTI/uSSRJCfUSYr5nRFi
												QKvyqoAAHYelfs3AuB9hljryWtWX/ksdPzb+48/FSvO3YKUDmkBwajv7tLCxlmdgqxqWJNfUV60a
												NOVWbsopt+iV2RQozrVI0qau5NJerdkeP/E7PjX4tw6av+rj2W+5e2QCT+Bb9K9lVFSPao2hRgD2
												FeQfBCwbxJ451DVpORGWYZ/vMT/KvYAc9K/F/BmjPFU8fxHUXvYuq2v8ELqP5v7j9p8aK8MLUwHD
												lJ+7hKST/wAc7OXz0X3jaKOlFftx+IhRRRQAUUUUAcT8fX+x+D9Hvs7W0fxX4e1LPoINZs5W/NVI
												PsTX7OaFqa61odneL927gSYY9GUH+tfjJ+0hYSah8AfGAh/4+LfSbi6g9fNiQyx/+PItfrX+zB4g
												/wCEp/Zu8A6hu3td+HrGRz6t9nTd+ua+B8RI82Gw8/5XNffZr8mdWE3Z8Vf8FaNKfRf2n/BeuRsY
												w+mW8JI9Uup2P6OK/QXQtVXXNEs76P8A1d5Ak649GUEfzr4t/wCCzfhst4X8G61Hw1vdS27N9QrL
												/I19NfsneIj4r/Zm8B3zNukm0O1WQ+rrGqN+qmv5j4c/ccTZjh39vkn+Fv1P27jCTxfBWTYz/n26
												tN/emvwR6FRRRX6Mfj4UUUUAFFFFABRRRQAV4R+xp/yVP9o7/sp5/wDUe0Ovd68I/Y0/5Kn+0d/2
												U8/+o9odAHu9FFFABRRRQAUUUUAFFFFABRRRQBleOv8AkSNY/wCvGf8A9FtXmX/BO/8A5R//AAM/
												7J9oH/ptt69N8df8iRrH/XjP/wCi2rzL/gnf/wAo/wD4Gf8AZPtA/wDTbb0AexUUUUAFFFFABRRR
												QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHkvwf/5Om+MX/cF/9JHr1qvJfg//AMnT
												fGL/ALgv/pI9etUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeO/sy/8AJav2iP8AsoNp/wCop4er
												2KvHf2Zf+S1ftEf9lBtP/UU8PV7FQAUUUUAFFFFABRRRQAUUUUAeO+Cf+UgHxN/7J94R/wDTl4nr
												2KvHfBP/ACkA+Jv/AGT7wj/6cvE9exUAFFFFABRRRQAUUUUAFFFFABRRRQAy5uFtLeSSQ7UjUsx9
												AOa/CL/gqT+0M3xU+LXjbWI5N1vcXkumWOGyGt0YxKw+qAN9TX68ft9fG+P4Gfs0eIL5Zlj1DULd
												7Gy5+bzZFKhh9Mg1/Px+0nrv9oa9Z6YjKfs43Pk9Gbpn8K/O+P8AMfZ4ZYeO7/XRH9ZfRf4V9vj6
												mb1VpH3Yv01l8nojzRVa81bT7P8A5Y2Qa+kGP+WjKY0H02MT9RXa/DXws3jbx9pGlKCftt0iPjsu
												csf++Qa4zwhI2o2s2oHcBfSb4Qw+ZYR9xfwFfSX7BngD+2vHV5r0ybodJh8uIkdJXIwf++Q3519L
												wfkbnWw2WpbW5vlrJ/PU/WfEbiaOCy7GZu30fL6v3Y/i0fWOmWCaTpsFrH/q7eNYl+gGBXOfGrTx
												qfww1aPG7bAWxj0rqRwKoeJrL+0/Dt5b4/1kTDFf0lxRgvrGSYrDL7VKaX/gLsf5/wDC+YSw2e4X
												G9Y1YSf/AIEmz80dKh+yPdW55+zzMn5GvRv2VdQJm8VWTf8ALrexuv0dN5/nXC63b/YPH+u2+MAX
												crKPYua6T9m+8Nr8Wdas+15YLdAf7rIn9a/jvJ5e0yWz+yvyZ/ptniX19zjtKzXo0fpJ/wAEbNc/
												sv8Aa8kt92BqWhXVuBnqQ8Uv/tM1+rFfjb/wTQ8RDwz+234HuGfbHLJdW78/e32kyj/x4r+VfskD
												mvreFqjlg3F9G/yTP4q8ecGqPEcKq+3Si/mpSj+SQUUUV9IfiYUUUUAFFFFABRRRQAUUUUAFFFFA
												BRRRQAUUUUAflZ/wbmf8nFftd/8AYx6d/wClOsV+qdflZ/wbmf8AJxX7Xf8A2Menf+lOsV+qdABR
												RRQAUUUUAFFFFABRRRQAUUUUAFFFFAH5Wf8ABqt/ybr8U/8AsY7f/wBJhX6p1+Vn/Bqt/wAm6/FP
												/sY7f/0mFfqnQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
												QAUUUUAFFFFABRRRQAUUUUAFFFFABRRXhP8AwUZ/aNvP2a/2WPEGqaDcRR+MtWRdJ8NRuA3mahOw
												jiYqeqIzB3POFUntXVgcHUxeIhhqKvKbSXq3YmUlFXZ8GfG34in9ob9srx944S4F3ommSnw14ecH
												cgt4Cq3Doe6yTxFwR1BqDFYvw48C2fwz8C6ZoNhvNppdutvGznLOAOpPcnrW0Dtr+ilThShGhR+G
												CUV0ukrJvze78zybtttijt9a4r47eIjo3g37OjbZL5/Lx3Kjr/Su0xu+ua8d+JF5J8Q/ifb6Xb/N
												HakRZ7Zzlj+uPwr8q8YM7nguH5YPDP8Af4qSpQXVubs//Jb6+h+reDuRwxvEEcZif4GFTrTb2Sgr
												r/yax2XwO8Pf2H4JjlkXbNfMZSCOcZIH6AH8a7AHBpttbLZWscMY2xxIEUegHAp1fbcLZLTyjKcP
												ltLanFL59X83c+J4qzypnGb4jM6m9STfy2S+SsBOTRRRXvnz4UUUUAFFFFAFPxDpC+INAvrCT/V3
												1tJbt9HUqf5199f8EsvFbeL/ANgf4bzSybrq1042c4zzG8UjptPvtC/nXwiK+mf+CIXi1p/gz8Rv
												C1xJm48LeNboQx/3bSaKJoT+LJNx7V8vxxTdTJXZfBOMn5Jpx/No2wztU+R6D/wVZ8HnxR+yvNMi
												bpNJ1CK6LD+FArhv5ir3/BLnxgnib9j/AMP2vmCSfR5bm1lGeV/0iR1B/wCAstepftGeAh8Tfgj4
												k0QqGN9ZOqg+oGf6V8lf8EY/HH+heLvDLttaGRNQCH/aCxn/ANBr+TMZbB8Y0Kz2xFKUPnFp/ofu
												mXOWY+HWKwy3wleFT/t2acfzbPuuiiiv0c/HQooooAKKKKACiiigArwj9jT/AJKn+0d/2U8/+o9o
												de714R+xp/yVP9o7/sp5/wDUe0OgD3eiiigAooooAKKKKACiiigAooooAyvHX/Ikax/14z/+i2rz
												L/gnf/yj/wDgZ/2T7QP/AE229em+Ov8AkSNY/wCvGf8A9FtXmX/BO/8A5R//AAM/7J9oH/ptt6AP
												YqKKKACiiigAooooAKKKKACiivl39vD9vg/A7U2+H/giOPUviRqFmLp5JFzZ+HrdyypcTt/E7bWK
												QrknbltisrN2YDAV8ZWWHw8eaT/q7fRebJlJRV2fUWaK/JNvH/xQfVjqx+LXjT+2t3med5yfZw3p
												5O3GzsFz04zX1h+xP/wUSn8ba3p/gH4oyWdj40vWMel6rbRlNP18gfdH/PGc4J8puDjCsxIB+nzj
												gnF4Gh7eE41Ur35b3S72aTa7tXta7sjGniYydrWPryiiivjDoCiiigAooooAKKKKACiiigDyX4P/
												APJ03xi/7gv/AKSPXrVeS/B//k6b4xf9wX/0kevWqACiiigAooooAKKKKACivnn9o79uG68C+L7r
												wf8ADfw7Z+OfGenqkmpLeagdP0nSA2dqXF0qSN5zABvKijkYKVZwgdC1z9mT9sy5+KHiNfCPjzQb
												XwV48aI3NvaW1/8Ab9P1aEZ3PaXBVGfZwHSSON1JB2lSrH13kOOWF+uOHub7q9u/Lfmt52t1ucaz
												DDut9XU1z9j3qiiivIOwKKKKAPHf2Zf+S1ftEf8AZQbT/wBRTw9XsVeO/sy/8lq/aI/7KDaf+op4
												er2KgAooooAKKKKACiiigAooooA8d8E/8pAPib/2T7wj/wCnLxPXsVeO+Cf+UgHxN/7J94R/9OXi
												evYqACiiigAooooAKKKKACiiigAoork/jf8AFrTfgf8AC/VvE2rTeTaabCz8DLO2OFA7k+lTKSin
												KWyNsPQqV6saNJXlJpJLq3oj87f+C037QEfiH4pWfhO3ulay8J25muwrfL50qI/PrhNn0Oa/IL4h
												a9N4q1e6fJ87WJzEgPVY2OGIPqqEkfSvo39r34wXnie41TUb2Vn1TxNdSTSnOcBjyPoAQB7Cvm3w
												3ENT1ma6wpisyYYSO7chzj1BytfkEpvNM6Un8NN8z+Xwr56H+lnA+Qw4Z4Tjhl8co8t+7es397dj
												ehRYo1RAFVRgAdAK+7P2V/h2fh38IrOKaMx3d8ftU4I+YEgAD8h+tfJX7Pfw4k+KHxT0zT9m62jf
												z7lj91Y0Bbn6kBfxr77SJYI1RRhVGAPp0r+kvDHKW5VMwmtPhj+r/Q/ln6QfEkVTo5LSlq3zzXkv
												hT/P5BmiVd8bKP4lI+tFAr9fqU1ODg+qsfy9Tm4SU1unc/Ov456X/YPx51y324Xzm/xNQ/Bu4+w/
												HXT26fbbCa2z64/eY/8AHa6r9tDSTo37REz7dv2tfN477mauF8K366V8UvCtyeP9O+z5/wCuqNGP
												/Qq/iXJ6LpxxeDl9mpNfK+n5H+o88UsVgMDjU/4lGm/nbU+yP2bNfbwv+0F4Kvlbb5OtWoY/7LSq
												rfoTX7nW0wuLaOReVkUMPxFfgLoWqtoWu2V8ud1nOk4x6qwb+lfvJ8OdTXWfh9od2rbludPgkz65
												jU17PCVT3alP0Z/L30hsDavg8Z3Uo/c0/wBTaooor7E/m4KKKKACiiigAooooAKKKKACiiigAooo
												oAKKKKAPys/4NzP+Tiv2u/8AsY9O/wDSnWK/VOvys/4NzP8Ak4r9rv8A7GPTv/SnWK/VOgAooooA
												KKKKACiiigAooooAKKKKACiiigD8rP8Ag1W/5N1+Kf8A2Mdv/wCkwr9U6/Kz/g1W/wCTdfin/wBj
												Hb/+kwr9U6ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
												iiigAooooAKKKKACiiigAooooACcV+Xf7cPxnk/af/bIvLe3dm8H/CKeXSrLB+S91XaUuph6iMu0
												GD0eEkV9qf8ABQT9pWT9mT9nLVNT05Y5/E2rEabolsx/19zJ8o98KCST24r85fhx4QbwL4H03S5L
												mS+ureHN3dynMl9ctlpp3Pd5JGdye5Y1+mcAZXbnzOotrxj6te8/knZPu/I48VU+wjaBJNLSLTuo
												r9IOMxfHviVfCXhe4u2+/jZGM8sx6f1NcR8AfD0l3d3muXQ3NIxjjJ/iY8sf1FZ/xe8QSeOfF9ro
												dmS0dvKVOP4nPU/gB+pr1Pw7osfh/QrWzjXC26BT7nHJ/E1+C4GX+tnG8sWtcLl91HtKrLRvztr6
												NI/e8fH/AFS4Hjg3pisxtKXeNKOqXlfT1TZdZs0lFFfvR+CBRRRQAUUUUAFFFFAAOtemf8EovF6f
												Dz9uv4i+GpmYR/ETw5YarYR/wrJp0tyl0w92+322f90V5mKd8NPGcPwe/a9+EvjaaUQWlrqVxoN/
												If4ba+hx1954LYfjXLmWHlicuxOEX24N/OHvpfNxSKhK01Lz/wCAfrXcQi4t5I2+7IpU/jX51fsm
												XB+Av/BSXxP4bbENpfX9zZRp/eV5N8H/AI6wP41+jGa/OP8A4KNaXcfAr9tTRvHlpG22+Ntf5Xj9
												5Cqx4/ERg/jX8X+IcZUIYTNILWjVi3/hldP8bH7t4RuOLq4/Iqj0xNCSiu84tSj+HMfo5RVfSNSj
												1jSrW7hbfDdRLNGw/iVgCD+RqxX6JGSkuZH5DKLi7PcKKKKokKKKKACiiigArwj9jT/kqf7R3/ZT
												z/6j2h17vXhH7Gn/ACVP9o7/ALKef/Ue0OgD3eiiigAooplxcR2lvJLIyxxxqXdmOAoHJJNAD68v
												+On7YPgX9nqaO38QaqFvZgSttAvmScY6gdOvevBP2rP+Cvfw/wDAuganpHgfWo/EHiVP3QntYzNa
												25OQW8wfKxBGCAeK8q/YK/ZI039syzufiL4s8Rf25byXjxm3huRJI0isdwlPJXn+HjivkeIc5zCj
												jFlWW0eatZOTldRgpK6cvNrVLqj9K4a4Mwcstef8QVXSwt7QUVedWS3UV2Wzff5n1R8J/wDgoz8N
												Piz4gg0u21KfT766cJFHeR+WHJ4A3dK93Vw4ypyD0Ir46/av/wCCYWg6v4Rk1jwDC+k61pcTTJbI
												x2XW0ZAHdW44PrTv+CZ/7ZV18Q4P+EC8VXTSa9ZK32KaU/PcIi5KH1YAMfoDXn5bxFj8Nj45XnkY
												qU/gnH4ZPt5P+ux05zwfleNyqee8MTlKnTf72nO3PTT2ldbx3u+nyZ9iUUUV98flhleOv+RI1j/r
												xn/9FtXmX/BO/wD5R/8AwM/7J9oH/ptt69N8df8AIkax/wBeM/8A6LavMv8Agnf/AMo//gZ/2T7Q
												P/Tbb0AexUUUUAFFFFABRRRQAUUUUAea/tb/ALQ9j+y/8CNb8WXm2S4t4jDp9vn5ru7cERRj1yeT
												7A1+Yeiy6ncNqnibxXefbfFHiKdtS1i7YjiQqAsKn/nnFGqRLjGRHk8kmvVP+ChXxlX9pP8Aa2i8
												P2N00nhP4Rp5NxEp/d3uszhZGJ7N5EAh2n1uZBXzb8Y/G02ta2ug6eW27gku0/fY/wAP0HFfdYrO
												8Pwfw5/aVePNXrtKEerb+CK9fiflbqfRcGcI4jibN1gab5acU5Tk9oxW7f5LzZH4m+K+reLdZOn+
												HlZY87RIB80nvz0FU7z4V+LpUhuvtTfabWVbmErMRJDIhDK6nswIHIr0P4dfD+38EaPGm1ZLyQbp
												pCOcnqB7CuiJr53LfCzGZ3R/tLijFVPb1NVGEmo009VFLrbqtj9EzLxUwWSVv7M4XwtP6vT91ynF
												SlUto5N9L9D1H9jf/grDrnhrWYPC3xSja6hhTyxqaptnGPul1Aww9SMY44NfoZ4S8Xad450C31TS
												rqG8sbpQ8csbbga/Hn4n/DuPxrozPa+Xbatb/vLafb1I6o3qrDIP4HtWv+xd+3B4q/Z01V1mW4uN
												Gt7g22p6TM+RC+Mhk/u7gdwPQ/ga+Fz/ACzOeDavNmTdfAt2Va3vQbeimu3Z/JFLJsl40oPEZBFY
												fHRV5UL2jOy1dN7X8vVu2h+wNFcb8DvjpoPx+8EW+t6DdRzRyKBNFn57Z8AlGHqM12Ve5h8RTr01
												WotSjJXTWzR+PYrC1sNVlQrxcZxdmmrNNdGgooorYwCiiigAooooA8l+D/8AydN8Yv8AuC/+kj16
												1Xkvwf8A+TpvjF/3Bf8A0kevWqACiiigAooooAK8H/4KAftdR/spfCKN9PWO68XeJZGsdEtmbChw
												u6SdzzhI05yeCzRrkbhXr/xD8e6b8LvAureItauFtNL0W1kvLqVj91EBJ+pPQDuSBX44fGf4w+IP
												21f2hLnWGaaRtWk+yaPZ5+TT7ENuVQP7zffdv4tsY/grizTNaWWYSWOqR53dRhDrOpLSMV/6VL+6
												nbVpH1nBvC089x/1dy5KME51ZvaFOKvJv8l5vsT+A5vHXxovbzS9BvJts0z3+qX2fKa/unx5k8jd
												cscYQHCqFUZxmovEnjfxv8P9bXR9Qvms/Ffhu4F74e1Of5vsN0MMm4/xwOdu9T1AxX158EvhJY/B
												7wNa6Xbon2kqHupgPmmkIGT9OMAVwP7anwUTx74IbXLOP/iZ6NGzttHM0XUg+uMcfWuXFcKZ/luD
												/wBa44iU8dH36kLvklD7VO3ZR/BWPey3xN4azfOv9T54WEMtn+7p1OVc6qL4arla/vS0+fqfeH7N
												3x0039pP4I+HfGmlq0MOuWcc81sxzJYz7R5tu/8AtxybkPupruK/OL/giR8bZdE8a+L/AIcX1x/o
												mon+3dIRjjZIxY3SL6lnLSn/AHjX6O16dDF0MXRhi8K706i5o+j6fJ3T80fHcQZHiMnzGrluK+Km
												7eq3T+aswooorQ8Y8d/Zl/5LV+0R/wBlBtP/AFFPD1exV47+zL/yWr9oj/soNp/6inh6vYqACiii
												gAooooAKKKKACiiigDx3wT/ykA+Jv/ZPvCP/AKcvE9exV474J/5SAfE3/sn3hH/05eJ69ioAKKKK
												ACiiigAooooAKKKKACvzn/4LJ/tOrq+t6f8ADjS7jdb6eFv9TdG6yncEjP8Aur83/AxX2X+1p+0Z
												p37MfwevvEF4ytdN/o9hATg3ExBwB9ACT9K/CP8Aac+Mt9dNqOq3lw02s67O7s7HLDOST+HAHtXy
												HFubwwuHdK+r39P+Cf0F4B8B1c1zVZpUj7lN2j5z7+kVr6tdjwz49eOZPFHiqZbf5kiP2W2X1boT
												/wB9Z5+lUdH01NH0yG3U7vKUBmPV27sfcnn8ayvD1v8A2tqUl43zRwExxE/xN/Efz4/CvR/g18OJ
												vin8QtP0ePcsc0oM7j+CMcsfrtBxXicIZVVdNO37ys7/AH7I/r3jLOMNhYyUpWo4eLu/Re8z6U/Y
												e+Fv/CMeCpteuo9t5q3EJPVYeCPzPNe6ZzUenadDpNhDbW8aw29ugSNFGAoHQVIvJr+ysly2GAwc
												MLD7K1fd9Wf5kcU5/VzrNKuZVt5vRdl0XyQGhTzRmjpXqHz58b/8FE9J+w/EnS9Q2486JFz64rwj
												V5/sF/ot4ePsOr2Vw3+6s6E/oDX1D/wUi0MzeH9K1DH+pIjz9W/+vXyr40Bu/BGoOv31tJJYyOzB
												SV/Wv46x1H6txPmeG6c6a9JLX8z/AEi4Fxn1zgbKsT1UJQf/AG60l+B9XQyC4gVx91gGFft/+xz4
												jHiv9l/wRfBt3naVED+Ax/Svwx8Jaguq+GLC4TkSwIf0r9i/+CVfiv8A4Sn9jvRVzn+y7iWx+mwI
												f/Zq5uGZezxdSl5fkz8s+kBg3UyfD4lfYnb/AMCX/APo6iiivuj+SAooooAKKKKACiiigAooooAK
												KKKACiiigAooooA/Kz/g3M/5OK/a7/7GPTv/AEp1iv1Tr8rP+Dcz/k4r9rv/ALGPTv8A0p1iv1To
												AKKKKACiiigAooooAKKKKACiiigAooooA/Kz/g1W/wCTdfin/wBjHb/+kwr9U6/Kz/g1W/5N1+Kf
												/Yx2/wD6TCv1ToAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo
												ooAKKKKACiiigAooooAKKKKACor6+h0yymubiWOC3t0aWWSRgqxqoyWJPAAAzk1LXwz/AMFUP2nW
												8UajD8E/DN1Ms1/Et54tvrdtp0+03Aw2wb+/OytkDOEjbdjeufVyXKa2ZYuOFpddW+iS3b9PzsiK
												lRQjdnhf7SPxwP7ZH7Stx4wt7iWTwT4REmjeF4GJ8ueRWZbq/A/6ayZjU9CkCMCQwNZaHmq+nafD
												pGnW9paxrDbWsaxRRqMLGijAA9gAKm61+90MPSw9KOHoK0IKyX6vzb1fmzypXbuxc81znxQ8aL4L
												8LySq3+lTfu4Vzzk9/wH9K3r+9h0uzkuLiRY4YVLMx7Ada8ZhFx8a/iIPM3Lp9uSfZIx/U8Cvy/x
												O4urZfhYZRlfvY3FPkppbx5tHN9lFPfo/Q/VPC/hGjmGKnnGa+7gsKueo3tK2qgu7k1t1WnU6D4D
												+EJGa4128XdJcZWHcPU5Zvx4GfrXpVR2dpHYWsdvEu2OFQiAdgKlxxX03A/CtHh/KaeXU9ZLWT/m
												k9W38z5njjiqtxDm9TMamkXpGP8ALFaJfcJRRRX1x8iFFFFABRRRQAUUUUAFc58XfCTeNvh5qVjC
												P9KCLc2vHSeF1li/8iItdHQDkVdOpyTU+zuFr6H6OfsR/Gj/AIaB/ZS8D+KJJvO1C80yO31I55W9
												g/c3IPp++jfr2xXkv/BW/wCGbeLf2frXWoIWkuPD94JWKrlhGwIYn2HWvDf+CbPx3i/Zp+OWueB9
												au47bwb8RLo6zpdzM3y2WrlY4prcnosckUULoOm9Zj3r9B/Hng+x+JPgbU9EvlWax1e1e2lAwdyO
												pBx+dfzh4kcK80cTl9vcqJuD6Wesfuej9D7Tg3P5ZTmuGzOP/LuSb9NpL5ps8k/4J2fGBPi1+zD4
												f3yB7zQbdNLuFLZYeUNiE/VVB/GvdK/Oj/gnF8TJP2bP2jvEXw58RSLZx393Jbb5W2ok8JZQcnjD
												YAB96+8dY+NXg/w9GzX3ijQbVVG4mS+jGB+dfE8C5lPH5TT5/wCJT9yS6px019VZn03ifkMcrz+q
												qP8ACq2qU30cZ66ejuvkdNRXO6L8XvCviMgWHiTQ7ssAQIr2Nic/jXQo6yLuUhlPQg9a+wlGS3R+
												ei0UUVIBRRRQAV4R+xp/yVP9o7/sp5/9R7Q693rwj9jT/kqf7R3/AGU8/wDqPaHQB7vRRRQAjOEU
												sxCqoySe1fmd+3V+2LP+1D4j1Pw7pN5c6d8MfCl08d3cQTmMeKLlCVKlhjdbRnoASruQesYr2H/g
												qT+1PdCyj+D3hC9jXVvEkDf8JLeRtltI03jcntJPnygDzsaRv4a+BPi3qkOmWWmeE9HXbDaKqMi9
												sDaq/wAyfwr3sViaPDeRz4hxavVfu0YPdyeilbrrt6X7H0/BPDFXiLOaeWw0h8VSXSMVq79u3zMv
												wD4Wj+IfjOSZbeO3021+by40CoAPuqAPzr23wH4g1r4D+PofF3geb+zNUhK/bbJDstdaiX/llMnQ
												nGQr4yu44rI+HnhOPwV4aitlX9637yU/3mP+GAK2q+q8NOEJZXlUquZrnxOJvOs3q25a8r8o7W7n
												b4ocXU84zRYfAe7hcOvZ0ora0dOb/t5q9+1j9JP2VP2ovD/7WPwst/EOit9nuomNtqulzMPtWk3S
												5WSCVeowwba2NrrhlJUg18hf8FH/ANn+++A3xU034qeEYpLK3e5WS6NshC29wWPzEjgK+dpzwSwH
												evHvht8b9U/ZC+L0PxC0mJrnRpjFb+LbGNC73VgrDfcIo5aWFNzgDJYIFAOcV+oXiHRvD37QXwpm
												tDNa6x4f8R2gKTQsJI5UbDJIh6HBwwPqBX554pcARqUfZUnZS96lLrGS6N+TsvNO5y+H/GE8jzOO
												Kkuam/dqw6ShLSSts9NV5mH+zB8ftO/aO+E9j4gsWVZm/c3cAbc0EoAyD+ea9Er81/2cPGmsf8E/
												v2t7nwd4g3R+H9clW3kdifLwzgRTjHHGCp9Axr9JLa5jvbeOaFlkjkUMjKchgehr47g/Pp5lg3HE
												Llr03yzXVNdbdmel4gcKwybMFPBvmw1Zc9KS2cX0v3js/kZ3jr/kSNY/68Z//RbV5l/wTv8A+Uf/
												AMDP+yfaB/6bbevTfHX/ACJGsf8AXjP/AOi2rzL/AIJ3/wDKP/4Gf9k+0D/0229fWHwZ7FRRRQAU
												UUUAFFFFABXjP7ef7UVv+yf+zzqGvLibXtVmXR9BtFbEl5fSq5VUHcpGkspH92Jq9iu7uOwtZJ5p
												EhhhQvI7naqKBkknsAK/KT9qD9oa1/ay/aGuPG3mOvgvwTBNpPhsyDal4zsrT3u08/NsSNCQCAJP
												71fScNZTDF4h1sS0qNJc023ZWXS/n+Cu+hPLUnJUqKcpydklq232R5dezL8GPhitu8/n6xqDyT3E
												xOXuLmUl5ZSep+ZsfTA7VT+BPgkyxtr14peaZiId45ODy/4nP5VhRfafjV8RA7Ky2NtgHsEjBz+Z
												5r2e1tY7G0jhiXbHEoVVHYCuXh1S424llxJiE3g8M3GgntKeic/lsvl2P2jiWpHgrhqPDmHaWNxV
												p12t4w6Qv59fn3H54pO1FFfvR+Ah1rA1zwv5GvLrdhaW9zdrGYLyzkO2LVYeyP8A7SnJRuqkkdGN
												b9BXBrLEYelXpSoYiKnCSalFq6ae6a6pm+GxVbD1Y16EnGcXdNOzTXVMi+GGv+Ivg1j4hfDW9vZt
												Ls5vL1jTBl5tGmHW3u4x/DtZSshG1lYEE199/sj/ALePhn9pbTYbKaSHR/E0cYM9jNKB5p4BMZP3
												h7DkV8AWkuq+CvGlv4r8MXUdh4ks4Tb7pBut7+Dk+RcL/HH8zYB6Fia1brwp4f8A2kbabWPBFq/g
												/wCKOnsZtX8Js4ijZl5M1i5+WWNvlZQhJG7aQGDAfy1xb4c5pwlVnmvDSdbBN3lR1bp335d3bs+u
												iep+5YHirKOMaccBxLajjErQxC0UuyqrT/wL1enX9ZKK+Lf2L/8AgpP/AG5e2/hH4kSf2fq0WIId
												RmUqJ3yFCy5+63+0eK+z7e5ju4FkidZI5BuVlOQw9QazyPPsHmuHWIwkr911i+zXQ+A4m4WzDIcW
												8HmEOV7p/Zku8Xs16eg+iiivaPnQooooA8l+D/8AydN8Yv8AuC/+kj161Xkvwf8A+TpvjF/3Bf8A
												0kevWqACiiigAozRXw//AMFO/wDgoQPA2l33w38C6ky+ItQiaDVtStmO7SYWUhkjcfdnIIwRynJ6
												gVjiMRSw9GWIxElGEFeTfRf1olu3ZLVnpZPlOKzPGU8DgoOVSbskvzfZLdvZLU8h/wCCrH7aqfG/
												xY3wx8Nzed4Z8O6gJdYnifKapeRZCW+B96OKT94c8GSOIjO2r37Gn7Pn/CvdDPiLVIv+JtqkS+Sj
												p81tEefwLcflXA/sT/swfarm18Uaxa7bG0GbCBx/rX7SEeg6j3wa+tOi/wCeK24HyOtm+LhxHmUH
												GnC/sKb6J/8ALxr+aS28rdket4rcXYPh/LpcEZBNSlK31mrH7Ul/y7T7JrX7u4FsGmSxrPGyuoZG
												GCrDIIpaMc1+zyipLlex/MMJyhJTi7Nao+C/Fl1efsW/tZaT4qtfMgtvCWrpqDNGhZ5dMZwbmJQO
												rPbF047mv2strqO9t45oZI5oZFDI6MGVgehBHUV+Xf8AwUI+Hrav4V03X4ot32Bjb3B/6ZtgD9a+
												mP8Agjr8bW+JX7J1p4cvJlk1TwBKNEZSxaRrZFAt5HJ6s0YyT61/O2W4X+yc0xmQy+GDVWn506m6
												XlGSt2vI/sXiTGf6ycL5dxbHWok6Fb/HD4W/OUW39x9YUUUV9EfmB47+zL/yWr9oj/soNp/6inh6
												vYq8d/Zl/wCS1ftEf9lBtP8A1FPD1exUAFFFFABRRRQAUUUUAFFFFAHjvgn/AJSAfE3/ALJ94R/9
												OXievYq8d8E/8pAPib/2T7wj/wCnLxPXsVABRRRmgArkPjR8dPDPwB8Hy614o1S1061XiNHcebcN
												x8qL1Y8joDiuG/a3/bW8Lfss+Dria6vILzxBIhWy02M7pJHIJBfH3V9ScfmRX5K/H79oDxF+0f4/
												n8QeIrozXEnyQxKSIrVOyIOw/ma8PNs7p4RckdZ9u3qfq3h94XY3iGaxNe9PDr7VtZeUe/m9l6n1
												L8dv+Cy/ibX7+4tfA+nQaPYglI7q4USzSDPXBGFryDRv+Cl/xg0fUWuR4ouLgs+/y51EkY9tp4x7
												V8l/En436d4Gk+x26NqerMMrbQH7n++33V+hOa4O1/aI8WQXXnXGl6RcW7HJhglYSqPYthc/jXzM
												amaYj96ptL15fuWh/UGC8OeGMJSVCOEhK3WUeZv1buz9bPg1/wAFrLyC5t7bxt4fS4h+7JeWLBWB
												9SmMYHt6V9VaJ/wUB+Eet+AJPEC+OPD9vDDHve0uL2OG8Bx90QMRIWPYBea/nb+I37UZ1+xTTdPS
												40m4kXFysvEif7IYcHI9Ca83lummdpHk3MxyWJ6muN8XYvCydKpHma7/AOfUzxP0aclzeMcXh5vD
												3d2o6p/J6R+R+mX7e37Zdz+078Q5dRkmktfDOhiRNOt3bCqpPMhH95gF/ICvz3+JfjC6+IviqR42
												Zd3yRjqIYx3/ABJP51kD4v6tf6QugtcSTWe4bMnLZGQFz/d7/hWnpWlDTo2Zjumk5dv6fSvBowq5
												xjeet8EdZeb6I/X8tyHCcI5YsJhUlK3LBLousn5tu78yxY2a2dvHDEuFQbVGK+zP2Mvgy3gDwX/b
												V9Dt1HWo1kUMuGii6qPbIINeM/slfAd/iX4pXVr6Jho+mSK5yOLhxyFHqOOfrX2dnAr+nvDnht/8
												jOvHTaC/N/5H8ceOnHit/q/g53b1qtfeo/q/uAmiiiv2I/l0DyKAeaKAcGgDxL9vjRP7U+B88oXP
												2WQSE47ZFfF1lEuoaCIW5WSIxt9MYr9BP2mtCPiP4H+ILVV3M1uSPwINfnz4ck3adt7oxr+WPELD
												rC8aOfSrSjL5qTX5I/vTwEx31vgGVJ70K8l8pRTX43PcP2b9RfU/gn4fkkP75YCkmezBiK/WT/gi
												R4vGo/CLxZonmbjpeoRXO3P3RMrjOPfyv0r8hf2WLlR4BvrLdlrHUJlC+iE5X+tfpd/wQ88UrZ/F
												zxtopbDahpEN4B6+TNs/Tz6+Ty+Xss3s+rf4q5XjBgnieE67jvBxl90lf8Gz9KKKKK+/P4hCiiig
												AooooAKKKKACiiigAooooAKKKKACiiigD8rP+Dcz/k4r9rv/ALGPTv8A0p1iv1Tr8rP+Dcz/AJOK
												/a7/AOxj07/0p1iv1ToAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/AINVv+Tdfin/ANjHb/8A
												pMK/VOvys/4NVv8Ak3X4p/8AYx2//pMK/VOgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
												KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooryH9rr9rzRf2WfBLSyCPU/FOpI0ei6OrY
												kvpsHGT/AAxrgszHoFNdGEwtXE1o0KEeaUtEhSkkrsw/27f2xrX9mHwAtjpbR33jzxEpt9EsMbvL
												J4NzKO0MfUnudoHWvz38PaLcad9svNRvJdS1rV7hrzUr6U5e5mbqf91QAqjsqgVe1HVdc+IfjO88
												XeL79dV8U6mojllA2w2kQJKwQr/CgPPqTye1THk9fyr9wyHI6eV4f2a1qS+J/ovJfi9ex5lao5vy
												EAyPpTLieO0iaSRlSNBlmPQCq2ua9Z+G7Jri8mWGNfXqa8m8U+PNV+KepvpekxMlox2jHBcerHt9
												K+a428QsDw/TVJfvcTPSFKOspN7XS1Sv1+R99wR4d47iGo6z/dYaGs6stIxS3s3o3boSeOvGV58U
												taTR9JVmtd4+Yf8ALT/aPtXpHgXwTb+B9FW3jw0zAGZ/77VU+Hfw5tfAunjb+8vJB+9lP8h6Cujz
												XjcB8F4yliZcR8QvnxtXp0pxf2Y9uzPa4+42wdXDR4b4dXJgaXXrUkvtS77XQBvaiiiv1o/Iwooo
												oAKKKKACiiigAooooADzQOKKKAKev6DZ+KdLlsb6Fbi2m+8rdj2I9CPWtDwz8RPil4D0BdJ0X4o6
												9DpcWRDHdwrdTRIT90SEg4HQccACowMUuazq0aVVKNaCklspJNL0uF2tjxr43/C2+mEmtX+sa14i
												urssb65v7jzJG3fTGF5xjsKsfCX4T/D3X9HRrfw3p0N5FjzkO48/3uTXrV1bR39vJDKiyRyqVZW6
												EGvJ/E/wt1TwPqv9oeH5JpIwSxQH5kHp7ivxXPMPnHB2dVeIcjhKpha9vb0obpx2nFLy3+dz934f
												zLLOLskpcN5xVVLFUL+wqy2ae8JP8vlY6S+/Zv8ABd5Ksy6Hb21xE2+KeBmjkib+8pB4Neg/DL4y
												fFr4BW5Xwn8QL3U7XeJPsHiRft0b4/gEowyL9Aa8k8P/ALQE0Enk6xZhO3mRgqfxH+FegaD4r0/x
												Lb+ZZ3Mco7jPzD8K+4yLxEyHiiKp06sako39yoveXf3Za/M+A4m8O8+4flzY2i1D+ePvRf8A28tP
												kfZ37NH/AAVR8OeOja6D8SLZfAXix3WBGmk36fqbngNBKOmTxtfBFfV1new6haxzW8sc8MqhkkjY
												Mrg9CCOCK/IfXPDll4m097bULWG6t3GCsi5//V+FdH8F/wBo74ofskW0Nv4P1KPxP4VgcFvDmtuZ
												fKj4BS2uMh48KMKrEopxxjNcmbcB0qv7zLJWfWMnp8pP73d+h8jTxTWkz9WaK+Y/gx/wVf8Ahb8R
												ptP03xFfS+APE1+yxJpesgp5khGdscoG1+/PHSvpTTtYtNXgWW0ure6jYZDRSBwR9RX5xjMvxOEn
												7PE03B72aa32OyMlJXiWK8I/Y0/5Kn+0d/2U8/8AqPaHXu+a+ff2StfsdB+JX7SE19eWtnCvxOLF
												5pQgA/4R3Q/WuRRb2KPoKvF/22f2uLP9lb4WT3FrFHqnjDVla00DS93NzdMrbGk7rChG527KDjnF
												ea/tA/8ABWPwb4MjvtI+HKJ8Q/FltIbdobZitjZPyCZpunynGVU5PY18S/Er4rahq/im68Y+PNWT
												WfF17Hs2xDZb2q8Yigj/AOWacDnqepJOa+py/I6WHpf2nnUvZYeK5rydnJdLX6Pv8lqbYLB4rH4i
												ODwEHUqSdkkrmX4i16XwJpWqa5rF3/aPirxFO13fXDfeuJ3OTj0RdxwOwrm/gv4Pl1zWbjX9QXcC
												SYd38bk8t+A/nWbpOmal8bPFH2q73Q6fC3OOFVf7o9zxzXsOn2UWlWUdvAoSGFdigegrzcjp1+Oc
												9jn+Kg44DDO1CLVueS052uy2XTRLoz9iz6tQ4GyGWQYWalj8Sr1pJ35IdIJ9+r9b7NEp5FGeKKK/
												fD+fwIBGMZB4I9RXsn/BNP8Aach/Z88Y2/wi8QzSR+GdaleTwtfzN+7spcFjYMf4Vwp8vtwF6kV4
												3Wf4q8M2/i/Rns7gyR5ZZIpYm2S28iMGSRG6qysqsD6iuPMMvpY7DSwlf4Zdeqa2a/XutCoycZcy
												Puz/AIKP/soL8efhgdc0qL/ipPDaNNFt63MIDFo/rnDD6H1rl/8Agmb+14vjjw0fAPiSbyPEGhjZ
												atKcNdx5bK/7yHA+hHpV39gX9uKb4nW6+AfiFdWcPjezQ/Y7gL5cev2yhR5gHQSAnDKOxBA615l+
												3t+ybrHwS+I8PxW+H6Swxwy/ab2GHpZyLt+cAdVbnI9R71/H/HHD+O4bzV5zQhdrSrFaqcOk13tv
												df5n7twTmmE4gyt8I5pNRd3LD1H9if8AI3/LLVer72Pufx1/yJGs/wDXjP8A+i2rzL/gnf8A8o//
												AIGf9k+0D/0229cf+zj+3LoX7RfwevbPULq10/xdFp86XFmTt87bGf3iZ7HrjtXYf8E7z/xr/wDg
												X/2T7QP/AE229fVZbmWHx+HjicLJSjJf1fz7n5nnGT4zK8XPBY6DhUg7NP8ANd090+qPYqKM0V3H
												lhRRRQAUVV1fWrTQbCS6vbmG1t4V3PJK4VVH1NfnP+3X/wAFdZPFMNx4S+Ed8I9Nuo3i1DxKifvH
												jIxttM8KWGR5pBIByuDg1nWxGHoQdXFVFTgt3J2X/BfZLVvRHsZLkGYZtiFhsvpOpJ9lt5t9F3bO
												m/4KQ/tv2/xDTUPhl4N1ZYdFj3ReLNagbhUUj/QoG7u7Aq5HATcOpFfEOr6xefE28g0XRrf7Ppdq
												AqIOFCjjJ/wqp4Y8Hav45tYLS3hWx0mE9shfcnPLN7nmvX/Bvgqy8E6d5NquWbBeRvvOa2weHzDj
												OlDLcBCWHypWc5tcs678uvL08l5n6zTw+VeH1N4nEyjiM0ekYpqUKPm/739LS43wN4Mt/BGjfZYf
												mdjvlc9Xb/AVtEZApuaK/oLK8rw2X4WGCwcFGnBWSXRH4NmmZ4nMMVPG4ybnUm7tvqwYbaKKK9A8
												8KKKKAAcGsvxL4Tg8SpDJ511Y39nIJrS+tZPLubSQdHRuxFalBoAzfHXxHt/iG80fxLs4NJ1hVH2
												bxjp0R+xz44H2yEfMjHqXXKjBr1j9nH9urxd+yxNY6P4shfXvCM+Ps11HIHYR4+Von6Mv3Tg84rz
												eaCO6iaOSNZEYYKsMqw9xXIat4O1jw1od5b+GLq1msbol30bVVaayDdcwkESQNnn92wBwAQRxX4j
												xl4N0cXXlm/DE1hcX1jtSqXd3zLZN/KKP1jhjxIhHCxyTiWn9YwfT+en5wlvZdvWx+vPwp+Mfh34
												0+G49U8PajBfW7gFgrfPEfRh1FdRX4beAf2ofGX7LGtzaijal4LEv7vzJZBc2cwyNoYgbckk4BHY
												19h/Ar/gspdLGtr4002y1BcgC9sG8tgCAcsvI/ICvympxHicqqLCcS4eWHqXtzNP2crdYy2a87ns
												5h4X1cVCWO4YrRxdC17Ra9pG/SUN7+iP0Gorwbwn/wAFJvhL4qh3f8JELFl+8LqJo8fj3rr/AA5+
												2B8M/Ft39n0/xlotzNx8izc17mGzvL8QuahWjJeUkz8+zDh7NMDP2eMw86b7Si1+aM/4Pn/jKf4x
												f9wX/wBJHr1qvD/gz460a5/ap+Lqx6nZM039jbP3y/Ni0fOK9gvvFml6bB5lxqFlDHnG5plx/OvQ
												9rDujy/Y1P5X9xoU2SRYY2ZmVVUZJJwAK8T+Ln/BRH4TfB03EN/4ptbzUYODZWIM827GQCB0z618
												M/tMf8FPPH37TrXHhnwfp83hXw7er5DeQxk1O8O45/eDhFICkBQDyQSa8fMeJMuwKtXqrm/lWsn6
												Jas+w4d4BzrOGpYei40+s5Llgkt/eemnbc9w/bv/AOCqFn4RXUPBvw1uEvtcV2tbzWVG6209lOHE
												f991IK8cBh7V8t/stfsp3nxHvoNa8QfaV0dX87M7Fpr985JYnrk5yTXUfs6/sMLbw2upeLI2jSMB
												o9OU+nTzD+XFfUNlaQ2FskMMaQwxjaiIMKo9hXoZDwjjeIK0cdnkHTwsXzQoveTW0qny+zt5WY+L
												PETKeEMJPJeE6iq4ya5auIWqj3jSfr1XlrdBZWkOnWkcEMaxxQqERF4CgcCnk5NGcGgnmv3OMVFc
												q2P5VqVJTk5yd29wNAooAzTIMf4i+DIPiF4G1TR7jAXULZ4Qx/5ZsVO1vwOD+FfKH/BPT483P7K3
												7ZWk2esM1roPi5z4e1YO2I7Kdsm2lI7s06xQ+wlz2r7Izk18Wft7/CFvD/jv+2LTzLW31jEyzx/e
												t7pW3B19GDAMPdRX474oYX6liMLxHBaUm6dS3WnO1m/KMtfmf0t4A5pTzChj+C8S9MTFVKV+lWnf
												bzkrf+An7HA5FFeD/wDBPL9q+P8Aat/Z/sb+88mHxRooWw1y1TpFOF4Zc9UYdD3Ib0r3isnbpqt0
												+6eqa8mtUePiKFSjVlRqq0otprs1o0eO/sy/8lq/aI/7KDaf+op4er2KvHf2Zf8AktX7RH/ZQbT/
												ANRTw9XsVIxCijOBXhf7Yf7bug/szeFbiG3mt9R8UyqBa2O7IXP8b46ADn3rhzHMcPgcPLE4qSjG
												Ku3/AJd32R6WU5Ri8zxcMFgYOdSbskvzfZLdvZLU7L48ftO+Ef2dtGF14i1GOOaQZitYzumm6dF9
												ORzXy9rX/Bb3wrp2sSRW/g/Xry3jbaTHLHuP9BXzB4S8I+Lf24fiXda94gvrxdH8wi6vRxu5JEEA
												PQDPJxwD6nNfSWi/s6eCtA0GPTYfD+ntbxrtzIm+R/dmPJPvXj5TlPFfEFP69hJRwtF/ApxvKa7t
												a2T6eR9xnmO4E4PqLLc4jPG4r/l4qc+WFN/y3TV333sz2T9nn/gp98Nfj5f2+mtdT+GdaueEs9Tw
												oY7sBVkHykng496+jAc1+S/7TH7EVvZ6fNq3hWGaSPJaey35KDqSh6/hXsn/AATe/wCClV1Nqun/
												AA5+JepLJLM0VjoWsz8SXDk7Et7huhkJ2qrnlieckk1tg8djcNjHlGdxUK9rxa+Golu4v+ZbuPZ6
												LRmeacNZXmWV/wCsfCU3Uw60qQfx0m9k1vy9E/Lc/QSigHIor6A/OTx3wT/ykA+Jv/ZPvCP/AKcv
												E9exV474KOP+CgHxO/7J94R/9OXiej9ov9tzwT+zpa3EOoagl5rMcRkjsLc7pGOMgMR93PvXJjMd
												h8JSdfEzUYrq3ZHdluWYvH144XBU3UnLZRTb/Ab+1N+294P/AGUrNE1iSS+1aZN8OnWxHnMOxOeF
												Bx1NfC/xr/4LIeNvGem3djoVnp/hu1uFKCctvuFU+h6A+4r4H/bQ/b48SfHL47eJfEF5JBpq3V9J
												DBFjc0MSuVjTnPRcCvDtQ8fa74kBUnULgHj943lpivzbGcWY3GTksvpycNk0vxuf25wZ9H3Jsuwl
												HEZ84yrtKTUndK6+FR2dvNM+h/i1+05DeatPfahqFzrmqzHLyM+459yfwryXX/2jdc1yOSGwhjt0
												kBXeoLMAfQ+tcbb+G5rs7rybPOfLj4B+p6mtixseY4beP5icKqDqfauHD5DmGIlz4qpy36Lf7z9k
												+uZRgKapYWlz8vV7adl2MG1uLvTAzNGzNIxd3cZaRj1JPrXQWVlqE+mJeSWFzHAwz5m35T/nFfRX
												7N/7HcmsmHWvFMLR2vDwWR4Moxwze3tXvOvfBLw/rlusa2q2e0bR5A2gD6dK/RcP4Y8Tywn1zBVV
												J9IVN2vXp8z8az/x84TwuP8A7OrUNvinT+GL7WW79D8tPiFY58QySfeSYAj+tY8SNEvzSybOm0tx
												X6GeMP8Agnb4W8ZztJPeXtmx53221Tn6EYrhW/4JS2ban/yNF39hzwPKXzMfXGP0rwpeFvFeIfPV
												oKN3quZf57H22X/SI4CpUVB4mV4rrCX+Wr8j5C8G2cmp+I4FjU7YjvYjsOlfSfwP/Zt1n4vaqkjR
												SWWkxtmW5dcbvZR3PNe+fCz9grwL8MXWQQ3mrXAwS93JwT/urgGvZrGwt9LtkgtYY4YYxhURcAV+
												rcF+EtTBwUsza3vyp/m/8j8K8TvpIUMfOVPh+LvaynJWsu6T6+qsVPB3hGx8DeHLXS9PhENraJtR
												R1Pck+5OTWjmgnNFfulKnGnBQgrJaJdj+Q8RiKlepKtVblKTbbe7b1bYUUUVoYhRRRQBT8S6Z/bP
												h+8tcbvtETR49civzPSx/sXxHqVi3Bt5WXHpg4r9PQ/Nfnh+0b4ZPgr9obWrYLthnmLIfUMAa/nX
												xuwjo4/LsxW15wk/Xlcf/bj+wPos5kqmHzXJ5buMKkV/hclL84lv9mLUvsfjzxNpzN/x9RQXcQ9l
												yrn83WvvH/glt4+/4QT9sPQlZtsOtQTadIfQMBIP/HohX55fC/UP7A+Nui3DMqx6lBPpkhPQZXzl
												P5wAf8Cr6m+FPjKb4dfErQ9chfy2029jmJH90MNw/Fcj8a/L8dL2OOhX9H92n6H7Vn2Xf2hlOJwP
												88JL5tafifvTRWT4D8W2/j3wVpOtWjK1vqtpHdRkejqGx+GcVrV+ippq6P8AO+cJQk4S3WgUUUUy
												QooooAKKKKACiiigAooooAKKKKACiiigD8rP+Dcz/k4r9rv/ALGPTv8A0p1iv1Tr8rP+Dcz/AJOK
												/a7/AOxj07/0p1iv1ToAKKKKACiiigAooooAKKKKACiiigAooooA/Kz/AINVv+Tdfin/ANjHb/8A
												pMK/VOvys/4NVj/xjr8U/wDsY7f/ANJhX6p0AFFGcUbqACijOaN1FwCigNmjNABRRmjdRcAopN49
												RSPcRxjLOqj3NLmQWY6imNcRqu4yIF9SaZ/aFv8A894f++xS5o9yuV9iaiof7Qt/+e0P/fYqOTXb
												GHO68tVx1zKox+tHtI9xqnN7JlqisTUPiV4e0qPdca5pMK5x812nX86474gftl/Cv4WWgn8QeO/D
												umxEZ3SXQP8A6Dn1qPb0725l95qsHXe0H9zPTKK+PfiV/wAFrfhJ4elWDwidY+IczruEuiWxe1Q+
												jytgKfrXkPj3/gsD8QvHdj9n8I+E9B8HySZRrnWtRS6ZQf4lSInBHo3pXt4bJsRVlGLtBSV05SUU
												16v8DSOX4uSbjSk7dos/SCoU1G3lm8tZ4WkHBUOCR+Ffj3rnxv8AiJ44kf8A4Sr44eI7tZmy1tp8
												yadHGp/gVoQrYHqTnmuRk/4RfQ76S7t/FXiS3v5OZLq1126S4c+pdX3E55znrXqSyPK6VJTxeY0q
												b6p3dvn1+R0Yfh/N68uWhhZy9Is/biivxNT9o7xV4APm+F/i78QrO5XmM3N62pxj6i4LA+leufCj
												/gtP8UPDNpJaeKNH0DxGI02wXVqHhnlPrIpwv/fNfGZ5nXD+Bk/q+YU6ySu+V637KO7fofVZd4Xc
												VYuzWCnC/WXur72fqtRX5W+MP+C1PjiVC0trZeHEkPyFoXYH6Eg+lYHhb/gpN8XPiPO7aL42huFZ
												iAqxQKF9vmAr5mnxhTqw9rh8NWnHuqcrHqV/CLOaDtialGD86sT9caK/LOH/AIKE/GfwfJt1LXLK
												5aNssJWtxkemVNdR4K/4Lb6lo9wI/EGl6XfQxfK7WsuJDjr7Vi+OsFTko4mnUp3/AJoSS++wQ8Ic
												+q03UwjpVUle0KkW36K+p+klFfHHhr/gtj8KdQtg2oLq9jJtBKpbmbnv92tG6/4LSfBe2t3kFx4g
												mKjISPTXZm+gr18PxRlVbSnXi32vqeDV8OeJ6es8DVt/hZ9bUE4FfBfjP/gvD4RtFb/hG/A/irWW
												/h+0qljn/v4a+c/jN/wUv+JH7Qd60V94gk8C+G23J/Zmgkm6ukbtNcdVI5wYyODXrYbMsqlJrE4y
												lSStdykk7Pst3bsjKn4f8TVP4WBqy9IM+4P2vf8AgpLo/wAE9YvfB3gu2h8WfEFYMiFW3WGkuwOx
												rt1IKgcNsBDMOAQSK+J2l1zxX4hm8Q+MNcuvFXiu8Xy59TulVSiZz5USIFSKIHnaigdzk15noHxY
												8M+A9Laz0bTZYoXkaeQKuGlkc7nd2PLOxJJY8kkk1DffG7WtdfydL09o2k4Vtu5s/wAq+uwviZwb
												klL2eEre2qSVnKEXJyfZW+FN9OunNeyPUwfg1xXi3etQ9jHq5yUUl313seq317Dpds01xIkMUYyz
												McACvPvFvx/hgZrfSIWuJuglYfL+A71jw/C7xL44mjk1e5aGHOcStyPotd54T+F+leEEVo4VmuF6
												zPy34elY1M4404mfsssovA4d71Ki/eNf3V0v0aV0ezRyfgrhiPtc0rLHYhbU6b/dp/3n1803Z9jg
												dJ+HWvfE28W+1m5kit26B/vY/wBlegFeoeGvCWn+ErBbexgWMAfM/VpD6k9a0AeaC2K+z4Q8Ocsy
												KbxSvWxMviq1HzTb66vVX8rX6nxvGHiRmmfRWEdqOGj8NKmuWCXTRb28726ATRRRX6CfnoUUUUAF
												FFFABRRRQAUUUUAFFFFABRRRQAUUUUAAOKXdSUUAZfiHwXpXimLbfWcMrDo4G1x+I5rgtZ+ANzp9
												z5+i6g0bLyFdtrA+zCvUTzQDivheJvDfIM8ftMZQSqfzx92fl70bN27N2Pu+GPEjiDIl7PBV26f8
												kveh5+7K6V+6Vzx//hNfGXgGQJfLLdQrwPOTcG+jdT+dbOmftF2bKBe2U0LfxFDkf416ORuTaRlT
												wc1j6j8PdF1YlptPt2ZurKu0n8q+LXAfF2U6ZFmjnD+Wv7/yTd7JH2v+vnCGba59lShP+ah7mvdp
												WuzFvvHvg/x1pklrqX2G5tZhh4b6JWRh6ENxVXw74a8N+GbHyfDPijxb4Rs1yRB4Y8Y6nokCg8kB
												LS4iXHfGMZ561JffALRbtm8ozW49FOcfnWbP+zjal/3d9Lt77hzWks48SaVJ4bEYKjVg97T39Y3t
												+Bn/AGP4a4iXPSx1ek+zhdL52/U1p/FN1ZZiX42fGOO37wn4k6zI5/7aNdGT8mrx/Q/H3w78e/ED
												4hWuoXXiDxnCmuR3Cw6zq95qkdxixtIWll+0SuJZPNhlXfJubCKM4VQPUrX9nXTUO6S6um9gBXzt
												+wV4F03Vvj78WLe7hFxHp9/siDH/AKeJxz+QrloYrjhTUY4ahhK0tKcoWfrzW/u3+Z5uKwvAeFxV
												CVCvWxNJN+1TXK7WduVpLeVr+R7HH8TL67tI9K8K6XFpNnGNsUVrAAUX0AAwPwFa/hr4FXWq3q3n
												iC6km3EM0YkJdv8AePX+tel6bpFro8fl2sENuvoi7anLZrswXhRUx+JWP4txUsZUTuoNtUk/KG2v
												VNWO7HeLUMFh3geEsLHBwas5pJ1WvOe/o07kGm6bb6RZpb2sMdvDGMKqDAFTGjOKK/ZKNGnSpqlS
												SjFaJJWSXZJH43WrVKs3VqycpN3bbu2+7b3CiiitDMMUUZozQBR1/QIfEMUO95re6s5RcWd5bSGG
												5sZlztlikUhkdcnBBHUjoSK9h+Ef/BSb4hfCbw5NoXxI8PSfFTQ1TyY9WsRHFqZhO7ctzDgJM2CA
												DGqkhTu3E5rywHBoBwfrXHjcvwmNgqWMpqcV30a9GrNLur2el0VCpOD5oOzOA/ay+M3w2ZdT8UeD
												fCfxJ8FwrC0k8V3pMiWkBIwWV85QEnpnAzwAKp/sgft//GjTv2cfB+m+EtY1qTRdH0u202AyWsEs
												cf2eJYiitIjHauzAGcYFJ+2Wx/4Zb8bf9g8j/wAeWuX/AOCb5x+yZoP/AF83f/pQ9fimaeD+R1Mz
												eHyxzwqnHnl7Kcldp2Wl7Ja6pI/Vcv8AFfMo0acc1o08YqacY+2gptJ2e7V29LK72PcIv2//ANpC
												zPmLrF423nBsbV/0MVatl/wVH/aA0hF+2xzXG35izaZajcPosQqgTSBiKyl4EwWtLNMSn5zbR6i8
												XcFL3a2SYS3lTSf4WOnX/gsx8VLZBHJ4fsXdeGLWLZP5cVBef8Fk/i/qFu0NpoGkwTOMLK1scr+B
												zXP7jSHmsV4L5js80qW/ryMf+IhcNp8yyanf1la/pfbyOB+Jvj34xftTsx8aeJNTvLGRg32GRxbW
												K46EQRhUJH94qT71J4O+BGm6AiyXwXUJlwVBGI1P07/jXdZozX1GReDeSYGtHFY1yxVWOzqvnS/7
												dfu/hocOceMGc4nDvA5bGGDoveNCKhf5qz9ddRI1WJFVVVVHQAYAp/U02iv1iMUlZH5RJtu7Ciii
												qAKKKKACiiigAoHWiigAHWlP3aSigBs0Ed3E0c0aSxsMFXXcDXGt+zx4JWWVrfw3punvcPvlaxj+
												xmZv7zGIruPua7SiscRh6WIpOhXipQlvFpNP1T0Z1YPHYjCVVWwtSUJrZxbTXzVmcRefs+aHMu23
												k1SyA6CK+lP6MxrNuv2dVjjza+INYjb1kcN/SvSc8UZr4DHeE/CeLbdTA01f+WKj/wCk2sfd4LxZ
												4twySjjqkrfzScvv5rnjH7PvwQsPjX8cvHXhvSvHk39taNBbSzphhkoojkyVIPyOwX8a9qg/4Jva
												nJkXfjCS4X+6XnKn6gtj9K8R/wCCWH/KSj43f9el1/6XQ1+kGPevzyh4RcLYlutUw7um1pOaVk7L
												RPseNmn0hOOcvrPCYbFpQ3/h021fV6uN9z528C/8E7fDehuJNVvbq/bPMUX7qNvqQA3617J4G+Dv
												hn4ax7dF0ays3xgyhN8rfV2y3610uaXPvX2WS8EZFlLUsDhoRkvtWTl/4E7y/E/MOJvE7ijiBOGa
												Y2pOD+xzNQ/8ATUfwEBzSU78f0o7fer6o+CG9KKcee9JgetACUClP1pBQAY5rmfjB8LrH4veBLzR
												7xV3TLuglxzDIDlWH48H1BI711BOe/6UA/7VcuOwVHGYeeFxMVKE0009mmd+WZlicuxdPHYObhUp
												tSi1o00fCPw++JPjr9hn4wyahpMrWOqRhYru2ky1lrNsD/q5U6HuUkXEiEEBgjyK313pf/Bez4ea
												Xa2tv4k8FfESz1WRAZV0vSDqVqh6f61Djnrg8gVqePvhhoPxO08W+tadDeKgIR2GHj+jdR+FeVXX
												7AXhG41Hzku9QijJ/wBSrAr+fWvxGpwfxRlMPqWVqniKCfuOpJxnCN78t7rmS2V72W1j+of+Ik8C
												8SRWO4hVTC4tr33SjzQqSSte1nyt9S7+zv8A8FsPhDbfFD403VrbeL7yTxJ4tg1e0gXSmVkiTQ9J
												sSJSTiNvPspxg9lB710Pjf8A4LgR3EDJ4V8Bai0/RH1CVQjfgpzXwj/wS0+BHh3xv+1P8etO1aza
												8tdB1XybYFyuB9ru15wfRBX6H+HPg/4X8J+X/Z+h6fbtH92QRAv+fWtJcJ8TZhPmoVqdGl6c0m1p
												LvazvbyseTQ424Fyug4Y3CVcTXu/tckUm7x2s3eNm/O54frX7c37SX7QcElvodu2hWF4pRjY2yos
												YPpNt8xfqGBqt8Pf2GtZ8UeIBq/xI16TUvM+eWytpn/0hvSSU/OR3wGGSADkZB+ngcDr7dKOPWva
												yjwkwFLERxebVZ4qcXdKo7wT8o7fJo8POvHzMpYWeB4ew1PAwkuVypRtVlHzqfFfzTT8ynoOhWXh
												bR7fT9NtYbKxtEEcMMS7UjUdgKtdTS4Hr+lL261+tJJKyPwSc5Tk5Td292NP/wBavmf9qn9jePWh
												c694WtFWVt0t3YxgjeepaMdj3wO9fTWff9KM4FfN8UcK4HPsH9Uxi1TvGS0lCXeL3T/M+y4F48zT
												hTMVmGWy3VpwesJx/lktn5duh41+yx/wV1vPhN4dXw38VLPUtUTTVWC21W3i33ARQRiderNwPm6n
												nOTXu95/wWH+DFvpv2iPVNRuOmI47Ulv58VwfjT4I+FfiDK0mraNaXEznLTbdsh/4EMGuPi/Yk+H
												gvPNfRRLt6BpWx/Ovyl8FcX4V+xo16dWOylJWkl5933fU/cKniB4c5k/reJw9bDVHrKFOzg315b3
												5V2S0R4L+0N/wVzb4i/tZ+ND8Pr3UtFh1jwto+jTrDGr3l0bO51SYhCMleNQUfKQeleaaToni74n
												M1ytjc6KbokzajrClrtc4y0cLZHmA55lDKeOK47RvDVj4N/4K8fEjTNNt0tbK00/bFEv3UBhsyf1
												Jr6cBNfZcIeF2W4mv/a2fL6zVi7KM9aUXFJNqHwtNq9pJo7peKOIwmXvL+HKaw1Obb54q1aUW24q
												U97pNLR/gfHf7Qv7Ftx4W8QTa9oNtPrEd0PNupXzLcCQ8yN/sqWy21cKM4AAGK8bt9FvLq5WGO1n
												aVjgKEOSa/Sctk0xIljkZlVVZupA5NfVZt4b4bE4h18PL2alvFLReitovLZdD6nhzx4zDA4KOExt
												P2zirKTbu7fza6+u76nxJ8Of2QvF3jwrLLbrpNocEy3QKkj1C9TX0b8IP2UPDfwu8u6lhXVdWTn7
												RcfMIz/sL0H1xn3r1AnJor2sl4Jy7L2qijzzXWWv3LZPz3PkuKvFrPs7g6Ep+ypPeMLq/k3u15N2
												AcCjtRRX2B+YBTg2RjFNooACuKDyaM0UAFFFFABRRRQAUUUUAGBt9818j/8ABRrwA1lrOm+JoV/1
												hEMrKO4HGfyFfXIrkvjd8Lbf4w/Dm+0WbaskyFoXP8EgB2n86/P/ABM4ZnneRVMPQV6sGpw/xRvp
												802j9T8G+NIcM8U0MfiHajK8Kn+CVrv5NJ/I/OvVDLd6ZDc2p/0q0lju4Mdd8bBsf8CwV+jGvpDw
												H4sh8a+ErHUoW/4+ogzgfwv/ABD88187+MfDWrfCbxNdaPqlrJHNbvjDDhh6g+hpvg34pah8PL+W
												bS9ptrpt9zaSn5Hb++vo3b0P4Cv5Tq5pQrUlh8U/Z1YaNS012au/Q/0Nnktaa+tYG1SjNXi4u94v
												Vfgfqr+yD/wVS139nvwlZ+GNe01fEHh/TwRash2XUCk52BicFQckZBPOM4wB9j/A3/gqF8M/jZ4h
												t9IW6utD1K6wI479QkbseAofOCx9K/DHQP2r9Fviqaha3mmyfxMyb4/++hXW6D8ZPC/iSUJZa3Yz
												SN/Dv2kfnXpYPPsXQio6Sivy9T8V4o8FcmzKpUrqEqNabbbV7Xe94vTV72R/Rerbhkcj1HeivnD/
												AIJlftFf8Ls/Zi0dtS1O2utV0nNhI5nVnlWMlUY85J2gZPc19GiRT/Ev51+gYfEQrU1Vhs1c/jTO
												Mpr5bjauAxHxU5OL7OztoOooBzRnmtjzAoozzRuoAKKM4ozigAoozRuouAUUm8eopd1FwCijcKje
												7iiOGkjX6sBS5kOzex+WH/BuZ/ycV+13/wBjHp3/AKU6xX6p1+VP/BufOkX7RP7XRZ1Xd4j07GT1
												/wBJ1iv1Wp6dBWaCiiigAooooAKKKKACiiigAooooAKKKKAP5x/2If25/j9/wTH8K+KPCfhP4Ztf
												T6vqq3V62qaVdSeU8cfl7V8vA7dea9s/4iE/2s8/8kn8O/8Agk1D/Gv3DfRrORtzWtszHqTEvP6U
												n9h2X/Pna/8Afpf8KpSaA/CLxt/wXJ/ah+JVrDb6l8Pm0iO2fzEfR9KvI5HJGMMXByPp3rnP+Hsv
												7RX/AELnjH/wCuP/AIiv6AP7Esv+fO1/79L/AIUf2HZf8+dr/wB+l/wrx8bkuGxVX2tXmv5TlFfc
												mkfSZdxTjMFQWHoxpuKv8VKnJ66/FKLb+8/AnTf+Cv37SGlBvJ8N+Lfn67tPnb+aVBd/8Fbv2jL2
												4aSTw54v3OcnFhcAf+gV+/v9h2X/AD52v/fpf8KP7Dsv+fO1/wC/S/4Vyf6s4K1rz/8ABlT/AOSO
												3/XnMf5KP/gij/8AIH4DW/8AwVy/aOtrJ4V8P+MvLk6/6BOT+eypbH/gsB+0jp0Ajj8P+MNo5+bT
												pmP/AKBX76f2JZf8+dr/AN+l/wAKP7Dsv+fO1/79L/hTXDODXWf/AIMn/wDJC/14zH+Sj/4Io/8A
												yB/P9cf8FY/2ibmRnbQfG25jk4spx/7JTP8Ah6x+0R/0BfHX/gFN/wDEV/QJ/Ydl/wA+dr/36X/C
												j+w7L/nztf8Av0v+FL/VjBd5/wDgyf8A8kV/r1mX8lH/AMEUf/kD+ebVP+Ckvx81m4aWbSfiOrOM
												ER286j/0CsS+/bj+M+oyBptH+KDY7Yucf+gV/Rp/Yll/z52v/fpf8KP7Dsv+fO1/79L/AIVEuFMB
												JWlz/wDgyf8A8kaR8QM1i+aMaSf/AF4o/wDyB/ONJ+2p8Ypk2yaL8VGQ9VLXOD/45UR/bF+LWf8A
												kX/if+dz/wDEV/R9/Ydl/wA+dr/36X/Cj+w7L/nztf8Av0v+FYy4NyyW6l/4Mn/8kbU/EjOqatT9
												mvSjS/8AkD+b8/tg/Fh8bvDvxQbHTm6H/stV5v2pviTdKwl8I/EmTd97Juuf/Ha/pI/sOy/587X/
												AL9L/hR/Yln/AM+dr/36X/Cs5cD5TJWlGX/gc/8A5I6qPirxFSfNTnBPypUv/kD+ayP49eLJmY3P
												w78fTZ/6Z3H9Up0nxv1yZcP8LfG0n+9bSt/7Tr+lH+w7L/nztf8Av0v+FH9h2X/Pna/9+l/wrNeH
												+Rr/AJcv/wACl/mdr8aOLm7/AFpf+AQ/+RP5r7f44a3bsAvwr8aoncJayrn/AMh1bl+Peqsh2fCv
												x6G9TBL/APG6/pF/sOy/587X/v0v+FH9iWX/AD52v/fpf8KqPAeRpWVH8Zf5kS8ZOLZO7xX/AJLD
												/wCRP5wbf4+3i/674T/EJj22xSD/ANpVoad+0PBbp/pHwb+I07/7rgf+iq/ou/sOy/587X/v0v8A
												hR/Ydl/z52v/AH6X/Cuqhwdk1Jpxw8fnr+dzixHitxVWXLLGSXpZfkkfzz6f+1Jp9gyt/wAKL+IE
												jL03CT/41WzaftvRWTbo/gP43Vh0PlPx/wCQa/f/APsOy/587X/v0v8AhR/Ydl/z52v/AH6X/Cvp
												MFRw+Dt9Vo04+kIX++x83juKs5xn+9YqpL1nK33XPwLn/b7muo9snwO8dSLjGGicj/0TWTe/thab
												qIIn/Z88XShuDutm5/8AINf0Ff2HZf8APna/9+l/wo/sOy/587X/AL9L/hX0tHizNaX8Os16JL9D
												5yVOMviP57o/2rdEiiVF/Z28VBVGAPsrYH/kGrtr+2hZ2MbLD8AfGESt1C27DP8A5Br+gT+xLL/n
												ztf+/S/4Uf2JZf8APna/9+l/woxXFma4mDpYiq5Re6aTT+9GlG9GanSbi1s02mfz3X37Wmn3/wB7
												4C+Ogf8AZWRf/aVUJf2l9NkXC/A34hKfX95/8ar+iD+w7L/nztf+/S/4Uf2HZf8APna/9+l/wr5D
												EZXgKz5qmGpt9/Zwv+R9Vh+OOIaC5aWNqpf45W/M/ndT9pWwVufgj8RG9v3n/wAaq1b/ALUmmwNn
												/hRPxAY5yN3mf/Gq/oY/sSy/587X/v0v+FH9h2X/AD52v/fpf8Kxp5LllN3jhqfzpwf5o0qcfcSV
												FaWOq/Kcl+TP59bP9sOysGDR/AXx1lTn5kc/+0q1rf8Ab7mtB+6+B/jqP/djcf8AtGv30/sOy/58
												7X/v0v8AhR/Ydl/z52v/AH6X/CvdwOMlg3fCQhT/AMMIr8keFjs4x+MVsXXnU/xSb/Nn4If8PCr7
												/oivj/8A75k/+NUv/Dwq+/6Ir8QP++ZP/jVfvd/Ydl/z52v/AH6X/Cj+w7L/AJ87X/v0v+Fer/rV
												mf8Az9/Bf5Hk+xh2PwQ/4eE32f8AkivxA/75k/8AjVL/AMPCbz/oivxA/wC+X/8AjVfvd/Ydl/z5
												2v8A36X/AAo/sOy/587X/v0v+FP/AFqzT/n7+C/yF7CHY/BH/h4Tef8ARFfiB/3y/wD8ao/4eE3n
												/RFfiB/3y/8A8ar97v7Dsv8Anztf+/S/4Uf2HZf8+dr/AN+l/wAKf+tWaf8AP38F/kHsIdj8Ef8A
												h4Tef9EV+IH/AHy//wAao/4eE3n/AERX4gf98v8A/Gq/e7+w7L/nztf+/S/4Uf2HZf8APna/9+l/
												wo/1qzT/AJ+/gv8AIPYQ7H4I/wDDwm8/6Ir8QP8Avl//AI1R/wAPCbz/AKIr8QP++X/+NV+939h2
												X/Pna/8Afpf8KP7Dsv8Anztf+/S/4Uf61Zp/z9/Bf5B7CHY/BH/h4Tef9EV+IH/fL/8Axqj/AIeE
												3n/RFfiB/wB8v/8AGq/e7+w7L/nztf8Av0v+FH9h2X/Pna/9+l/wo/1qzT/n7+C/yD2EOx+CP/Dw
												m8/6Ir8QP++X/wDjVH/Dwm8/6Ir8QP8Avl//AI1X73f2HZf8+dr/AN+l/wAKP7Dsv+fO1/79L/hR
												/rVmn/P38F/kHsIdj8Ef+HhN5/0RX4gf98v/APGqP+HhN5/0RX4gf98v/wDGq/e7+w7L/nztf+/S
												/wCFH9h2X/Pna/8Afpf8KP8AWrNP+fv4L/IPYQ7H4I/8PCbz/oivxA/75f8A+NUf8PCbz/oivxA/
												75f/AONV+939h2X/AD52v/fpf8KP7Dsv+fO1/wC/S/4Uf61Zp/z9/Bf5B7CHY/BH/h4Tef8ARFfi
												B/3y/wD8ao/4eE3n/RFfiB/3y/8A8ar97v7Dsv8Anztf+/S/4Uf2HZf8+dr/AN+l/wAKP9as0/5+
												/gv8g9hDsfgj/wAPCbz/AKIr8QP++X/+NUf8PCbz/oivxA/75f8A+NV+939h2X/Pna/9+l/wo/sO
												y/587X/v0v8AhR/rVmn/AD9/Bf5B7CHY/BH/AIeE3n/RFfiB/wB8v/8AGqP+HhN5/wBEV+IH/fL/
												APxqv3u/sOy/587X/v0v+FH9h2X/AD52v/fpf8KP9as0/wCfv4L/ACD2EOx+CH/Dwm9/6Ir8QP8A
												vmT/AOM0o/4KFXo/5or8QP8Avl//AI1X73f2HZf8+dr/AN+l/wAKP7Dsv+fO1/79L/hR/rVmn/P3
												8F/kHsIdj8Ef+Hhd7/0RX4gf98v/APGqQf8ABQq+z/yRX4gf98yf/Gq/e/8AsOy/587X/v0v+FH9
												h2X/AD52v/fpf8KP9as0/wCfv4L/ACD2EOx+CI/4KF3w/wCaK/ED/vmT/wCNV4b+y5+0Bqfwb+Kn
												xA1qT4c+LNaXxRd+eltbQyLJY/vpn2ufLOT+8x0HKmv6YP7Dsv8Anztf+/S/4VU0/wADaLpVzNNa
												6TptvLcndK8dsitIck8kDnkn8656nEGPqVI1Z1NY7aLS6t27Fexglax+Dh/4KF3x/wCaK/ED/vmT
												/wCNUf8ADwm8/wCiK/ED/vl//jVfvd/Ydl/z52v/AH6X/Cj+w7L/AJ87X/v0v+Fb/wCtWaf8/fwX
												+RPsIdj8Ef8Ah4Tef9EV+IH/AHy//wAao/4eE3n/AERX4gf98v8A/Gq/e7+w7L/nztf+/S/4Uf2H
												Zf8APna/9+l/wp/61Zp/z9/Bf5B7CHY/BH/h4Tef9EV+IH/fL/8Axqj/AIeE3n/RFfiB/wB8v/8A
												Gq/e7+w7L/nztf8Av0v+FH9h2X/Pna/9+l/wo/1qzT/n7+C/yD2EOx+CP/Dwm8/6Ir8QP++X/wDj
												VH/Dwm8/6Ir8QP8Avl//AI1X73f2HZf8+dr/AN+l/wAKP7Dsv+fO1/79L/hR/rVmn/P38F/kHsId
												j8Ef+HhN5/0RX4gf98v/APGqP+HhV4P+aK/ED/vl/wD41X73f2HZf8+dr/36X/Cj+w7L/nztf+/S
												/wCFH+tWaf8AP38F/kHsIdj+eD9oD9s6/wDid8GfEWgJ8JPHGlvqlqYRdzpI0cByDuYeUOOPWsb9
												kz9rDUPgj8DtN8OyfC3xprslnLO5vLWORYpN8rPgDyz0zg89q/o0vPC+m6jayQXGn2U0Mg2ujwKy
												sPcYpmm+ENJ0e0W3tdNsLeBclY44FVRk5PAFc74gx7rfWHU961r2W2/6Fexjax+DA/4KE3v/AERX
												4gf98v8A/GqP+HhN5/0RX4gf98v/APGq/e7+w7L/AJ87X/v0v+FH9h2X/Pna/wDfpf8ACuj/AFqz
												T/n7+C/yJ9hDsfgj/wAPCbz/AKIr8QP++X/+NUf8PCbz/oivxA/75f8A+NV+939h2X/Pna/9+l/w
												o/sOy/587X/v0v8AhR/rVmn/AD9/Bf5B7CHY/BH/AIeE3n/RFfiB/wB8v/8AGqP+HhN5/wBEV+IH
												/fL/APxqv3u/sOy/587X/v0v+FH9h2X/AD52v/fpf8KP9as0/wCfv4L/ACD2EOx+CP8Aw8JvP+iK
												/ED/AL5f/wCNUf8ADwm8/wCiK/ED/vl//jVfvd/Ydl/z52v/AH6X/Cj+w7L/AJ87X/v0v+FH+tWa
												f8/fwX+Qewh2PwR/4eE3n/RFfiB/3y//AMao/wCHhN5/0RX4gf8AfL//ABqv3u/sOy/587X/AL9L
												/hR/Ydl/z52v/fpf8KP9as0/5+/gv8g9hDsfgj/w8JvP+iK/ED/vl/8A41R/w8JvP+iK/ED/AL5f
												/wCNV+939h2X/Pna/wDfpf8ACj+w7L/nztf+/S/4Uf61Zp/z9/Bf5B7CHY/BH/h4Tef9EV+IH/fL
												/wDxqj/h4Tef9EV+IH/fL/8Axqv3u/sOy/587X/v0v8AhR/Ydl/z52v/AH6X/Cj/AFqzT/n7+C/y
												D2EOx+CP/Dwm8/6Ir8QP++X/APjVH/Dwm8/6Ir8QP++X/wDjVfvd/Ydl/wA+dr/36X/Cj+w7L/nz
												tf8Av0v+FH+tWaf8/fwX+Qewh2PwR/4eE3n/AERX4gf98v8A/GqP+HhN5/0RX4gf98v/APGq/e7+
												w7L/AJ87X/v0v+FH9h2X/Pna/wDfpf8ACj/WrNP+fv4L/IPYQ7H4I/8ADwm8/wCiK/ED/vl//jVH
												/Dwm8/6Ir8QP++X/APjVfvd/Ydl/z52v/fpf8KP7Dsv+fO1/79L/AIUf61Zp/wA/fwX+Qewh2PwR
												/wCHhN5/0RX4gf8AfL//ABqj/h4TeD/mivxA/wC+X/8AjVfvd/Ydl/z52v8A36X/AAo/sOy/587X
												/v0v+FH+tWaf8/fwX+Qewh2P5wf2SP2vdW/Z3/ax+IPjpfhn4q1lfFUU0Q02KKRZrLfcJL858s5x
												t29Bya+ov+H0mrf9ED8df+RP/jVfsjaeBdFsNQmuodJ02G6uM+bKlsgeTvycc1b/ALDsv+fO1/79
												L/hXDTznGU01Ce7b6bs4sRk+Drz9pVhdn4x/8PpNW/6IH46/8if/ABqj/h9Jq3/RA/HX/kT/AONV
												+zn9iWf/AD52v/fpf8KP7Esv+fO1/wC/S/4Vp/b+O/n/AARh/q7l/wDz7/Fn4x/8PpNW/wCiB+Ov
												/In/AMao/wCH0mrf9ED8df8AkT/41X7Of2HZf8+dr/36X/Cj+xLL/nztf+/S/wCFH9v47+f8EH+r
												uX/8+/xZ+Mf/AA+k1b/ogfjr/wAif/GqP+H0mrf9ED8df+RP/jVfs5/Yln/z52v/AH6X/Cj+w7L/
												AJ87X/v0v+FH9v47+f8ABB/q7l//AD7/ABZ+Mf8Aw+k1bP8AyQPx1/5E/wDjVH/D6TVv+iB+Ov8A
												yJ/8ar9nP7Es/wDnztf+/S/4Uf2JZ/8APna/9+l/wo/t/Hfz/gg/1dy//n3+LPxj/wCH0mrf9ED8
												df8AkT/41R/w+k1Yf80D8df+RP8A41X7Of2JZf8APna/9+l/wo/sSy/587X/AL9L/hR/b+O/n/BB
												/q7l/wDz7/Fn4x/8PpdWA/5IH46/OT/41QP+C0mrZ/5IH47/ADk/+M1+zn9iWX/Pna/9+l/wo/sS
												z/587X/v0v8AhR/b2O/n/BB/q7l//Pv8WfznfsU/tsax+zZ8cvip4n/4Vf4q8Qf8J5f/AGoWlvHI
												r6f/AKRPLtc+Wcn97joOVNfSv/D6TVif+SCeOv8AyJ/8ar9kdP8AAui6TcTTWuk6bby3J3SvHbIr
												SHJOScc9T+dW/wCw7If8udr/AN+l/wAKzo5zjKUeSE9Ne3V3ZrWyTBVpc9SF3p36KyPxj/4fSat/
												0QPx1/5E/wDjNH/D6TVv+iB+Ov8AyJ/8ar9nP7Dsv+fO1/79L/hR/Ydl/wA+dr/36X/CtP7fx38/
												5GX+ruX/APPv8WfjH/w+k1bP/JA/HX/kT/41R/w+k1b/AKIH46/8if8Axqv2c/sSz/587X/v0v8A
												hR/Yll/z52v/AH6X/Cj+38d/P+CD/V3L/wDn3+Z+Mf8Aw+k1b/ogfjr/AMif/GqP+H0mrf8ARA/H
												X/kT/wCNV+zn9iWX/Pna/wDfpf8ACj+xLL/nztf+/S/4Uf2/jv5/wQf6u5f/AM+/xZ+Mf/D6XVv+
												iB+Ov/In/wAapR/wWm1Yf80E8df+RP8A41X7N/2JZ/8APna/9+l/woOiWZ/5c7X/AL9L/hR/b2O/
												n/BB/q7l/wDz7/Fn82Vr+1Fqt1+3j4v+KEnw18WSJ4gtfJ/seOKT7Rbfu7dNzN5fT91noPvCvXv+
												HhN7/wBEV+IH/fMn/wAZr95IvA2iwapJfR6Tpq3ko2vMLZPMYccE4z2H5Vb/ALDsv+fO1/79L/hV
												YfiDH0IuNKdk23st3q+h6kcPTjFRS0SsvRH4I/8ADwm8/wCiK/ED/vl//jVH/Dwm8/6Ir8QP++X/
												APjVfvd/Ydl/z52v/fpf8KP7Dsv+fO1/79L/AIV0f61Zp/z9/Bf5B7CHY/BH/h4Tef8ARFfiB/3y
												/wD8ao/4eE3n/RFfiB/3y/8A8ar97v7Dsv8Anztf+/S/4Uf2HZf8+dr/AN+l/wAKP9as0/5+/gv8
												g9hDsfgj/wAPCbz/AKIr8QP++X/+NUf8PCbz/oivxA/75f8A+NV+939h2X/Pna/9+l/wo/sOy/58
												7X/v0v8AhR/rVmn/AD9/Bf5B7CHY/BH/AIeE3n/RFfiB/wB8v/8AGqP+HhN5/wBEV+IH/fL/APxq
												v3u/sOy/587X/v0v+FH9h2X/AD52v/fpf8KP9as0/wCfv4L/ACD2EOx+CP8Aw8JvP+iK/ED/AL5f
												/wCNUf8ADwm8/wCiK/ED/vl//jVfvd/Ydl/z52v/AH6X/Cj+w7L/AJ87X/v0v+FH+tWaf8/fwX+Q
												ewh2PwR/4eE3n/RFfiB/3y//AMao/wCHhN5/0RX4gf8AfL//ABqv3u/sOy/587X/AL9L/hR/Ydl/
												z52v/fpf8KP9as0/5+/gv8g9hDsfgj/w8JvP+iK/ED/vl/8A41R/w8JvP+iK/ED/AL5f/wCNV+93
												9h2X/Pna/wDfpf8ACj+w7L/nztf+/S/4Uf61Zp/z9/Bf5B7CHY/BH/h4Tef9EV+IH/fL/wDxqj/h
												4Tef9EV+IH/fL/8Axqv3u/sOy/587X/v0v8AhR/Ydl/z52v/AH6X/Cj/AFqzT/n7+C/yD2EOx+CP
												/Dwm8/6Ir8QP++X/APjVA/4KF3w/5or8QP8Avl//AI1X73f2HZf8+dr/AN+l/wAKP7Esv+fO1/79
												L/hR/rVmn/P38F/kHsIdj+dP46/tGW/xt0Borj4J+PbXUY+YLsROzIfQ/uuRXgtz4f164Yn/AIV5
												4vXPpYTf/EV/VN/Yll/z52v/AH6X/Cj+xLP/AJ87X/v0v+FfK5vhKGZ1fbY6ClLvZfofoXDfibxL
												kOHWEyvFShBO6Wjt6XTsvJaH8nWrvdaZOY7jw1r1pJ/cnhZW/IqKgsNO1jxC7Jp3hjWrwryywWkk
												pH/fK1/Vd4m+CXhDxi27U/Dei3jk53SWiFvzxmpPCfwg8L+Bo2XSPD+k6fu+8YbVFLfU4r5l8F5Y
												53dJW8nK/wCZ95/xMNxjGjaOMlz+cKTX/pFz+a34T/Fnxx8JfDsNnpvgXx5ayrkvLbQ3EO4nnsld
												7pX7dnxo0Ut9n0f4pKG7Mblv5pX9F/8AYln/AM+dr/36X/Cj+w7L/nztf+/S/wCFdEeE8vi7x516
												VJ//ACR8TmHihn2OqOtjJU6knreVGk9/WB/P9pP/AAVd/aK0NUFvo/j5lj6CWxlb/wBp1Z/4e8/t
												H/2iLr/hH/GDSj10+bb+Wyv34/sSy/587X/v0v8AhR/Ydl/z52v/AH6X/Ctv9WcHtef/AIMqf/JH
												nf68Zi/sUf8AwRR/+QPwKf8A4K//ALSEmordN4c8WeYoA40+fH5bKS//AOCvP7RmoXCzN4b8YCQY
												6WE4H5bK/fb+w7L/AJ87X/v0v+FH9iWX/Pna/wDfpf8ACj/VnB95/wDgyp/8kL/XjMf5KP8A4Io/
												/IH4F6l/wV//AGjtT8sv4b8XZjORjT5x/wCyUaj/AMFgf2jtSSNZPDfi7MZyMafOP/ZK/fT+w7L/
												AJ87X/v0v+FH9h2X/Pna/wDfpf8ACj/VnB95/wDgyp/8kP8A14zH+Sj/AOCKP/yB+Bd3/wAFhP2k
												ryILJ4d8WbVGPl06cH/0CqL/APBWL9oqQY/4R7xmvutlPn/0Cv6Av7Dsv+fO1/79L/hR/Ydl/wA+
												dr/36X/Cl/qzgnu5/wDgyp/8kH+vOYr7FH/wRR/+QP57r/8A4KeftBajKrS6L4/DLyNtrOuP/HKs
												H/gqZ+0KT/yC/iH9Pscv/wAbr+gn+xLL/nztf+/S/wCFH9h2X/Pna/8Afpf8KP8AVfBd5/8Agyf/
												AMkP/XvMv5KP/gij/wDIH8+V3/wVA/aCvbdo30v4jbXGDi0lB/Py65pv26vjS8xZtB+JFwzdTIly
												f/Za/oy/sOy/587X/v0v+FH9h2X/AD52v/fpf8KzqcJ5fUVp879ak/8A5I1p+IGbU3zU1ST8qFH/
												AOQPwq/4IsfsmfFX4veIviVr1iureFrf+09NnuTfGW0N8xa6kIGQC+0Hkn/noPWv3fqO2s4bNSIY
												o4g3UIoXP5VJXrYXLqWHrVK8L3na922vdTSsum+vc+bxmbVsTQpYeolanzWskn7zTd2t9tL7dAoo
												orvPMCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo
												oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
												igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
												ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo
												oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
												igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK/LH/ghn+0RrWp/tg/8FFbjx7441a58L+A
												fitfLaSa9rMklh4dsIr7Vy4jMzlLeBI4lyF2qFjHZRgA/U6ivxy1T9or4vf8HGP7VjeF/gr4o8Zf
												CH9j/wCGWqgeIPHmkXE2l6x48vE5+z2cg2uiFTlUPEasJplLtBAP1d1TXfB37LHwVW61rXLHwv4L
												8H6ekc2p67qp8u0gjUKHnurhyzseMvI5Z2OSSxyQDsKK+Zf2d/8Agsv+y7+1b8UI/BfgH41eDdd8
												VXEpgtdNMslnNfyDPyW/nognbAJxEWJAz05r174zftPfD/8AZ41zwfpvjbxVpXhu/wDH+sRaB4dh
												vHKtq1/KyrHbxYBy7MygZwORQB3lFfLvhn/gtd+yh4x+NqfDvTPjx8PrvxVLcfZIoEviLW4m3BBF
												Hdlfs0jliAFSQljwAa9I/aq/bs+EP7D+n6LdfFrx9oPgS38RSSxaa+pyMgvGiCGQJtB+6HTP+8KA
												PWqK+QP+H+/7G3/Rwnw//wDAiX/4ivffi/8AtY/DT9n74OQ/EHxx458M+FPBd1HFLb6vql8ltb3I
												lTfEsZYgyO65KooLMAcA0AehUV88fsm/8FY/2cv25fFk3h/4V/Fzwr4q8QQo0n9lLJJZ38yKNzPH
												BcJHJKqjlmRWC9yK734p/th/C/4H/FPQ/BPjDx14d8M+KPEen3mradY6ldC3a4tLOGSe6uN7YRY4
												oopHZmYAKjHtQB6VRXzT+z9/wWK/Zh/am+Lf/CCeAfjT4L8Q+LHcx2+nJcPA98wySts0qqlw2FJx
												CXOBnpzXyl/wVz/4LR6T+yb/AMFJv2b/AIXaX8VtD8M+G7fxDdTfF+2MStNp1p9msp9PSeQoWiil
												W4kf92csFUE4BBAP1DorxnWP+Ch/wQ8O6f4Ju9R+J3hPT7P4jaLd+I/DdxdXfkw6rp1rbG6ubpHY
												BRHHADIzMRhRUf7Nv/BRf4H/ALXfwu8QeNvh58S/DPiDwr4TkaPWtSMzWcOk4XeWn89YzGm0Fg7A
												KQCQTg0Ae1UV8e23/Bf39jW7+IH/AAjKftBeA/7S8/7P5rSTLYFvX7YY/s23/b8zb71yP/BwJ/wU
												2j/4J+/8E6PEGteC/Hmi+HPiv4utYf8AhBN8cd3JqSi+sUvZrdGVonMVrdGQFsgZVsHGKAPvCivz
												9+Iv7WHwP/b1/wCCRUural+0lqngXw1psWi6f4o8d+FtWex1DR9UUWsjQNPsJV5JHVHAU5EpHevt
												jxH8S/C/wX+ELeJvE3ifS9G8K6LYJPda5q96lvbxwhQBLLM5CjdxyTyT70AdVRXzL+zv/wAFl/2X
												f2rfihH4L8A/Grwbrviq4lMFrpplks5r+QZ+S389EE7YBOIixIGenNevfGb9p74f/s8a54P03xt4
												q0rw3f8Aj/WItA8Ow3jlW1a/lZVjt4sA5dmZQM4HIoA7yivl3wz/AMFrv2UPGPxtT4d6Z8ePh9d+
												Kpbj7JFAl8Ra3E24IIo7sr9mkcsQAqSEseADXs37Q37T3w//AGTvBVr4j+I/irSvB+h32oQ6VBea
												g5SOW6lDGOIEA/MwRsf7poA7yiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
												gAooooAKKKKACiiigArwjWP2g/EVjq91DG9nshmdFzBzgMQO9e718oeJP+Ri1D/r5k/9CNfU8MYW
												jXnUVaKlZLf5nyHFuMr0IU3Rk43bvZ27HX/8NG+JP79l/wB+P/r0f8NG+JP79l/34/8Ar1wdFfX/
												ANk4L/n1H7j4n+2sf/z9l97O8/4aN8Sf37L/AL8f/Xre+Gvxs1zxT430+wuntTb3DMHCxbW4Rjwc
												+1eS11fwRP8AxdLSf99//RbVy47K8JHD1JRppNRfTyOvL82xs8VTjKrJpyinr5o+kaKKK/MT9aCi
												q+rata6BpV1fX1zb2VjZRNPcXE8gjigjUFmd2bAVVAJJJwACa+U9F/4Lu/sf+Ifigvg+0/aC+Hkm
												tSTeQjteNHYSPnAC3rKLVsk4BEpB7ZoA+tKK4n9oD9o7wP8AsrfCq+8cfETxNpvhPwnprxR3OqXz
												lYIWlkWOMEgE/M7Ko46mvOvCX/BUT9n3x38e/FPwv0f4reFdR8d+C7e5utZ0qGZ2azS2Xdc/vNvl
												u0IB8xUZmTawYAqQAD3uivln4hf8FtP2UfhZ8N/DPi3XPjl4JttD8YxTXGjSxSy3M1/DFcS20kqw
												RI03lieGaPeUClonAJ2mva/ht8d/Av7TPwTbxd4H8ZaP4k8I6pbTCPW9GvUuIYwFIch1J2unOVOG
												UjBANAHd0V85/wDBKnR/A/h39iTw3b/Dv4veJPjj4Tjub5rbxjr+pnUL7UGN1KZEeYqpYRPujAxw
												EA7Vy/iX/gu1+yB4R+KX/CG3/wC0B8PY9bE32d2jvHmsYnyQQ94im2TBBBLSgKeuKAPrSiqem+IL
												DWdBt9Vs76zutLurdbuC8hmWS3mhZQyyK4O1kKkMGBwQc9K+bvAv/BZ/9lf4m/Hi3+Gnh/45+AtW
												8ZXlx9jtbS3vS1veT7toihutv2eWRmICqkhLHgA0AfTtFfl5/wAG2n7Wj6T/AMESP+FmfGHx7qd1
												Y6Dr2ry6p4h8R6lNeyW1ukqAb5ZCz7VzgDtnivsPwh/wVT/Z38f/ALQ+j/CfRfi14T1T4g6/ZRah
												p+j20zySXMUsAuIwJAvliRoSJBEWEm0g7cGgD6Aor5h/4JOaB4A8O/s5a5D8OPjV4q+O2ht4qv5J
												9f1/VTqV1Z3RWHzLFZCq4jiwpVcceYeeaj/4fWfso/8AC8v+Fcf8L4+Hv/CW/aPsfkfb/wDRfPzt
												8r7Xj7N5m75dnm7t3y4zxQB9RUV8o/tQf8FYvhD8O/2Hfih8UvC/xM8KTL4Sk1PwxY3zlpLceJob
												N5odPZcDdIW8s7ehB6157/wb/wD/AAUr0v8Abz/Yf8I2/iD4kWHjb416bY3Oo+MrUBY7yzMuoXIi
												aSNEWNF8vywqoAqrtAAGKAPvCiiigAooooAKKKKACiiigAooooAK+VP2u/2u/GHwY+MMui6LJpy2
												K2kMwE1t5jbmznnPtX1XXwJ/wUS4/aPn/wCwdb/yavquD8JRxGPdOvFSXK3Z69UY4iTUboP+Hifx
												I/57aN/4Aj/Gj/h4n8SP+e+jf+AI/wAa8Kor9S/1fy3/AJ8R+5HD7Wfc91/4eJ/Ej/nvo3/gCP8A
												Gl/4eJfEfH+v0f8A8AR/jXhNAPNH+r+W/wDPiP3IPaz7n61abO11p1vI2N0kascepANTVV0T/kC2
												f/XBP/QRVqvwWW7PUCivPvi9+1Z8OfgH498H+F/GnjDRfDeveP5LmLw9Z303ltqjWyxtPsONv7tZ
												YyxYgAMK8i+FH/BaH9lf44/GyP4d+FPjl4D1nxdcXAtLW0ivGSLUJicLHb3DKILh2JAVYnYseBmp
												A+nqKw/iV8TvDnwa8Dal4n8Xa9pHhnw5o8JuL7U9Uu0tbS0jH8TyOQqjoOT1IFeA/s7/APBZf9l3
												9q34oR+C/APxq8G674quJTBa6aZZLOa/kGfkt/PRBO2ATiIsSBnpzQB9NUVwnxm/ad+H/wCzxq3h
												ex8ceLNH8L3XjXUP7K0RL+byv7RusbvKQ9M45ySAPWvJ/h3/AMFg/wBmX4s+AfHninw78ZPCOqeH
												vhkY/wDhJr+OSRYdLWWXyY5CWQb4nk+VZI9yMejGgD6Tor5f+Jv/AAWl/ZV+DnjjRfDniX46eA9L
												1jxBa299awveNIscFxEk0Ek8iKUtg8UiOvnsmUdW6HNbX7UH/BWP9nH9jLxHpOj/ABL+L3hHwzq2
												uQJdWdm073U7wPzHMyQK5jiccrI+1WAOCcGgD6GorD8B/Ezw78Ufh/pvizw3rml654Z1i0W/sdVs
												rlJrS6t2G4SpIpKlSOc5r5e8cf8ABfH9jr4d+P5PDOp/tAeBf7UhkEUhs5Zr60RicYNzBG8AwRzm
												T5e+KAPr2ivlv/gqB8aLfWv+CQnxu8d/D/xVHcW83w81TU9E1/QNRyrf6K7Rz29xC3Y8h0bgjrWv
												/wAEg/FWqeOf+CW37P8ArGtalf6xq+p+A9Juby+vrh7i5u5WtkLSSSOSzsTyWYkk0AfRtFFFABRR
												RQAUUUUAFFFFABRRRQAUUUUAeY/tXfFXVvhB8O7LUtHa3W6n1FLVjNH5i7DFKx49coK+ff8AhuPx
												3/z20v8A8BB/jXr37f3/ACRzTf8AsMxf+iJ6+Qa+VzbFVqeI5YSaVkfv3h3w/luMydVsVQjOXNJX
												aTZ7B/w3H47/AOe2l/8AgIP8aP8AhuPx3/z20v8A8BB/jXj9Feb/AGhif539593/AKoZL/0Cw/8A
												AUewf8Nx+O/+e2l/+Ag/xr6K/Zd+JuqfFj4ZtqurtC10t5JBmKPYu1QpHH4mvhWvsn9hL/kiEn/Y
												Sm/9Bjr1MnxVapX5akm1ZnwXiPw/luDyj22FoRhLnirpJO2p7PRRRX1B+BhRXyf46/4Lo/sifDb4
												pSeDdY+PvgG316Gc2syRXT3FrbyglWSS6jRreMqQQweQbSMHFfQHjr9oHwT8NvgpdfEjWvFGi2fg
												Ky09dVl14XKy2H2RgpWdZEyGjYMpDLkEMCM5oA7Civn/AMIf8FU/2d/H/wC0Po/wn0T4teE9U+IP
												iCyi1DT9HtpnkkuYpYBcRgSBfLEjQkSCIsJNpB24r8+f+CFn/BVrwD+zb/wTc8ReJv2jPjUtheah
												8T9csdLm8S6rcajqN1DFHZfJBH+8neKMyDOxSieYM43cgH7DUV57+zT+1f8ADb9sf4bx+Lvhd408
												P+OPDryGFrvS7oS/Z5QAxilTh4ZArKSkiqwDA4wRXy1+3T/wUh0P9iX9v3wK3jn9or4W+BfhLHoE
												y+IvBF3aveeJL6+cTfZ7pBBBLLDBzDyzIreW+Ac0Afc9FfMv/BJ/4teL/jb+y/c+IvGXxh+G/wAb
												ry+167ew1/wSEWwt7HEfk2kirHHtuI/nLhlDDeuc18V/8Elf+CmXg39mnwT+1Z4i/aA+MC6PpVl8
												fPEGj6G3iTVpruZYIvJItbOEl5WjjDA+XCpVA2cAGgD9bqK8d+A//BQP4K/tO/BbWviH4B+JXhfx
												R4P8NW8l3rF/Z3WTpEcaNI5uYmAlgwiM2JEUlVyARzXwf/wSa/4LheHv2qf+Cg/7RPhDxh8XvD+p
												abqPi+00b4Q6XHGII9Q06P7ZlrfagMjOBEzvISxJUcKFUAH6pUUUUAFFFFABRRRQAUUUUAFFFFAB
												RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF
												FFABX80v7OX/AAT0+MH/AAVI/wCCmP7bfwk0LxxcfD34DTfGLV9V+Id9aKj3WpzRarqX2CzSPIaX
												LGZyrERL5Yd9zpCh/par4B/4I4fsGfEz9kH9rj9tDxZ480a10vRPjJ8TLjxJ4Wmi1CC5a+sXvdSl
												WRljYtESlzEdrgN8xGODQB5z/wAEBf2otW/Z01nxB+wn8YLHR/DfxV+CPm/8I1NZ26Wtp410NmMq
												XcAUBZJQr+YxwJHR9zgypcEZP/Bb3wTa/tuf8FZP2MP2YfFtxef8Kt8UXGs+LvEWmw3DQx63JY2k
												s0EMhUghQtvPHlSGAu5MEHaR7L/wW4/4JdeKP2xNC8HfF74IXsPhv9pb4M3kd94T1PzkthqtuJN0
												unzSN8u07ndPMymWkRsJNIw53/goZ+wL8cf2/wD4F/Af4zeF49J+Df7WXwSuW1az027vo7zSZpJQ
												iXtkZoTIrRSmFHjZtw8tmjkC+YzIAYn/AAXV/wCCTPwGf/gmB8RvFPhH4aeCPhz4w+FOjP4n8Oa7
												4X0e30e8spbPEvleZbqhdHRWTa2QGZXGHVWHy3/wVpv7j/god+xh/wAEwB43urn7Z8YvFvhuz8QX
												ds3lzPJfQWcN1NGRjazNI7jH3SRzxXqv7QPwf/4KP/8ABWr4c/8ACkvih8Pvhb+zn8NNangHjDxL
												putxatea1bRSq7Q2kMVzO6K7KrbJNhbaFaUKXR/ef+CkP/BNDxZ8Q9b/AGGdF+Eegw3Xg39nP4i6
												Bf6klxqMUMmm6Jp7WqBh5jKZmWKD7qAsSOnNAHlv/Bwf/wAEwP2fPhV/wRe+JGpeEfhB4A8Jax8P
												7SwutC1PR9Et7O/s2+32sTg3CJ5kgkjd1cSM28tuOXAYfXXw6+GHws/aT/4J3/B/xl8fvCvw98eW
												eh/D/TdfvdU8b6PZ6lDpxfTYJbu6L3KMsW4JudxjIXnpTf8AgtJ+zJ4w/bJ/4Jh/Fn4Z+AdPg1Tx
												f4qsLWDTbWa6jtUmeO+t5mBkkIRfkjc5Yjpivh//AIK3/sE/tgftC/sV/s4/A74aeF9P1bwB4c8K
												6TF8SNKi8S2ulTate2UFvGLF53kG63Bjdv3YKl9rHJRMAHln7N/7AXw1/wCC7X7aC/ELwv8ABnwH
												8KP2M/hXqMltpC6F4UtNDvfi3qETlXllaGKKZbNehVui5QYleUw5v/BVD4yXHj7/AIL3r4J1L9m/
												xL+034H+AvgO0bQfh1ooxp1jc3S28smo3FsIZUliCTRQeWyBMpDx8uG+hvhf8W/+CnfwV+HWi+Ef
												Cf7JP7OOg+GvDtnHp+m6dZ+JVjgs4I1Coij+0egA6nknJJJOa7D9uj/gnn+0dqX7Qnwv/a7+ANx4
												P0X9ofSfCVt4f8eeCdVnxoniaAoJZbZJg2CUmOz5pFDLFC6yo0Q8wA+CP29dU+IX7RnhLQdX+EP/
												AATP+KPwD+MXgnVrTV/DPjTwzpIs5LJ4ZlZ4p4rexiFxGybwFY/K20jjcrfR3/BVX9n7Q/27v+C6
												X7Cfg74k6LNDo/irwjqupa5orsyEm3tLi+aylwQ2xpIPKcZBKlh3rvtc8L/8FK/+Cj2veHfB3jjQ
												/DX7H/w7s9Qt77xFr/hPxUl54m1WKJtzW9pLa3M3lK/HDbB8p3NImYn9z/ag/Yb+IXxF/wCC4P7K
												/wAaND0mG6+HHwt8Pa/p2v6hLqMf2i1lutPvIIAI3fzZdzzRgsobGSSepoA+VP8Ag5l/Yp+E37MH
												7LHwf+J3wx+Hfg34b+OvB/xO0O103VvDGjW2lTRwlbiQRt5KKHVJIYnXdkoyfKQGYNvf8Fwf2ZPh
												t4o/4LN/sFzan8PfA+ozfEfxLr0Hi17rQrWZvFEdtb6THbpflkJuliQlUE24IvC4HFfR3/BwT+xB
												8Rv2+v2MPC/g34Y6Ta6zr+mePdK124gnvobNUtIEuFlffKyqSDIvyg5OeBxXJ/8ABc/9jb47/GH4
												1fsy/Gr4AeF9B8eeLPgDr+pX03hrUtSi0/8AtKK8WzG5ZZpI48L9kZSDIG/eqQGwRQB4b/wWe/ZF
												8B/F/wD4K7f8E9/hLd+HdHsfh6DrsJ0Cyskt9PNnaR2twtkIIwqLA4gEZRQF2MRjHFfSX/BXr9lD
												9lv4bf8ABOHxRoXxE1SP4A/CLUNesdW1uPwJp9ppkvia7iCrDZtBHbubgv5MR2xqHH2VGLqkb1z3
												xd/ZQ+O37Un7f37C3xu8ReAtN8Lv8NdM1qb4h6fFrVrOvh67vLJY1hiKyMbhfMBG6IuAOSa7r/gu
												9/wTv8cf8FC/2V/C9r8M7/Q4fH/wx8YWXjfRdP1tA2m63LbJMhtZtwKjcJcguChK7G2q5dQD8yf2
												0v2uv2d/2gf2AfHnhf4K/wDBOf4if2HY+E72Wx8cXfw8tNDtPDAht3kTVft8KzSMIgvnsXkVpgrK
												5+djW7+0L4J0T4r/APBlz4R8ZeJ9E0XxB4u8FaHY2nh7W9QsIrjUNChbxVa2jpazupkgV7aKOFhG
												V3IiqcgYr6L+L/gv/gpT/wAFPvgd4i+EvjjwB8I/2afCfiLS5bPxBrcWsprWoa1G0RDWlrHb3M6w
												xTsQkhkIZY2bDsRtfV0P/glR8ZPiB/wbBS/st61pOk+HPi5b6e0cVnLqMM1pO9t4g/tOBBPEzoDL
												DGiZJAV3OcAZoA43/gtp8BvA3wH/AODZXVLfwP4L8J+DLfXLXwlqeox6FpFvpyahdvcWAe4mEKKJ
												JWAALtljgZNaH/BW7wTa/tuf8FGv2D/2YfFtxef8Kt8UWmoeLvEWmw3DQx63JY6e80EMhUghQtvP
												HlSGAu5MEHaRN+0Z+zH+2B/wUB/4ITeLvgz4++DHh7wR8VNKvNB0vQdPtPE9hPb65YWUlm8l00q3
												EkcL/upfkZwTgYHNe9f8FYf+CYnxD/ar8D/BX4ifBrxLp3g/9oH9n25F/wCG5tQb/iX6jHJFEt1Z
												TEBh85hTazBkI8xGAWUugBwf/BdX/gkz8Bn/AOCYHxG8U+Efhp4I+HPjD4U6M/ifw5rvhfR7fR7y
												yls8S+V5luqF0dFZNrZAZlcYdVYfLf8AwVpv7j/god+xh/wTAHje6uftnxi8W+G7PxBd2zeXM8l9
												BZw3U0ZGNrM0juMfdJHPFeq/tBfB/wD4KP8A/BWr4c/8KS+KHw++Fv7Ofw01qeAeMPEum63Fq15r
												VtFKrtDaQxXM7orsqtsk2FtoVpQpdH95/wCCkP8AwTQ8WfEPW/2GdF+Eegw3Xg39nP4i6Bf6klxq
												MUMmm6Jp7WqBh5jKZmWKD7qAsSOnNAHlv/Bwf/wTA/Z8+FX/AARe+JGpeEfhB4A8Jax8P7SwutC1
												PR9Et7O/s2+32sTg3CJ5kgkjd1cSM28tuOXAYfb37Ofw38N/tafsBfBc/FLw34d+Iq33hLQdcnj8
												SaZBqkT35sIm+1bJkZRNukchwMje2CMmuZ/4LSfsyeMP2yf+CYfxZ+GfgHT4NU8X+KrC1g021muo
												7VJnjvreZgZJCEX5I3OWI6Yqt4gsP2gv2Zf+Cdvwb8P/AAi8D+E/F/xM8N6X4f0HXdL1vUlgtLS2
												hsVivJElWWNXdJI1C4YhgSQGoA+q6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
												KKKKACiiigAooooAKKKKACvlDxJ/yMWof9fMn/oRr6vr5Q8Sf8jFqH/XzJ/6Ea+w4R+Or6L9T4fj
												b4KXq/0KVFFFfcH5+FdV8Ef+SpaT/vv/AOi2rla6r4I/8lS0n/ff/wBFtXHmH+61P8MvyZ3Zb/vl
												L/FH80fSVFFFfkZ+1H5W/wDB1z8a9e8L/ss/CH4Z6PpviHXNP+MHxEsdH13RtCm8nUfEdhF+8bTI
												H2uVkuJWhCkK3zIAQwJU/Nvi3x/oni/4GXHw8k/4I2+M7LQJrM2aTWWlpb6lbfIUEyXq6f8AaBOA
												c+cZC5PJJyc/pz/wWG/4JtN/wU5/ZMXwjpPiE+D/AB54V1e38U+Ddd+YR6dqtsHEXmFPnEbrI6ll
												BZCVcK5QK3yWPjd/wVqv/Ah+H5+CXwVtPEDQf2afiafEdqbRRt2G++xC5Mnm/wAf/Hvs3f8ALDb8
												lAHy3+0dF8XtA/4NB/Enhf41eGvFvhjxR4J8SWGh2MPiSCSHULjTI9WtJLRmEgB2okvkJ2226gdK
												/T/4d/8ABP34R/sgf8E+L8+C/APhHS/EWlfC+902bxHb6PBFq+pCSwD3Dz3IXzZDNLGsj7nOWA9B
												Xh37eP8AwSo+NHjv/ggdefs+6f4y1z44fGK6udOvb/W/EWtnzNSnXUYrmZUnu5PlhijUpGGYErGD
												jcxFfefxF+H+qeIv2U9e8K2sKNrV94TuNKhiMiqpuHs2iVdx4A3kDOcUAfmL/wAGxH/BML4F+Nf+
												CTHg34ieMPhn4L8d+KviNNqx1C88S6Nb6q1vbwaldWaWsInVxHCVt97KgXc8jFs4GJf+CBvgmx+B
												vxc/4KJfDHw0sun+BfBXxBuF0PSQ+6HTVkS/jKpnnHl28CcknbCmSSMn6/8A+CFH7KHjf9h//glX
												8Lfhd8RtNt9H8ZeF/wC1v7QtIbuK7jh+0ave3UWJYmZGzFNGeCcZweQRXnX/AATb/YM+Jn7Of7TP
												7cXiTxZo9nY6R8bPGDav4Sljv4Z2v7Y/bvmdUYmI/v4+JADyfQ0AfmT4d/aL8R/s+f8ABm14Wg8M
												XN5Y33xB8X3vhC4uLR9lwtpc6peyXCIe3mxQPCf9mZvrXpvgfx5ovgT4G2/w9h/4I3eNL/QorIWc
												txf6XHc6neYXaZpbxtO89pz180OGBxtK4GPp39kD/giJ4g+IH/BvfD+yr8aIo/Bvi+a6v76G6tJ4
												dR/se7/tKW7tJwY3KSLgqHQMCUd1ypORheA/il/wVi+Anw8tPho3wX+DXxO1DRbZNNsviRP4ohjh
												uUX5VuLm3kuoZ5pAoGWEMZY4LKx3ZAPizxh8S/jv+y1/wbwfFr4YeJvBfxG+E+k+Ivinb+EvBsPi
												kzJf6V4Z1Em5ay81lQyRr5EsLsFAcXUi7QCAP1r8Wf8ABBD9mHWP2NJfhDp/wp8H6asOk/Y7DxLD
												pkMfiC1vFT93qH28J55uBIFcsWIYDYVKHZXBWX/BGTxr8f8A/gkp40+B/wC0F8Yte+I3xM+IV9J4
												iufE91cy31r4a1LzElt4LCOTaVs4njwUUR7lmmCiNSip5N4X0/8A4Kk+NvhzF8AfFHhX4S6Lpd1b
												Hw/qfxth1lLq4bTTH5Ul3DZCdZ2vmjyVd4I1LY3LGTvAB8y/sC/8qbfxq/7jn/pTBX6Mf8EPP+Cf
												3wh+Cn/BPH9nnxlpPw/8IN471Lwdp/iqbxRLpEDa017qlgJbl/tZUzcpcyQ4348vC4C8V87/ALJX
												/BKD43fCn/g27+Jn7Out+G9Ptfit4kGq/YNMXV7aSGXz54njzcK5iXKoerDHfFfol+wB8KNc+A37
												B/wT8DeJrWOy8SeC/AWhaFq1ukyzLBd2unQQTIHQlWCyIw3KSDjIJFAH4Zfs2/HvxB+zt/wak/tN
												a14YvJtO1jU/iZqGgpdRNteCG9udMtrjaRyGa3klQEEEFwR0r9SfgT/wQk/Zdsv2CvD/AML9R+En
												gnWLfUPD0EWoeIJdKgOu3d1JApkvVvtpnjmLszKUcBAQqgINtfPf7HH/AATGtv2e/wDgh18cfg5+
												1hqXh/4X+HfG3i7UL+fWbvWbVrPSY7qWxXTrxp/M8pWW8jhZVdhllUHG6sb4U+Af+Co/gv4GaR8E
												fDmpfAHVPBcOlxaRo3xnXUHlvIdJ8oLBcpGsuZJ1h2bZDbOCQCWcnzaAPGP+CJn7PvhXxH/wb4ft
												heGvFmi+HPHFt4P8b+Mrmwl1Owhv4Y7208O2Sw30PmKwWVTlklXDLuyCM19r/wDBsj8B/A3gr/gk
												n8IfGmjeDPCek+MvFOk3ceta9ZaRb2+p6uqandhFuLhEEswUKoAdjgKMdK+ev+DZD9nebx//AMEW
												f2i/h9YaxHcWvjbx14q0PStbeM+XdxTaPYWSXe0EnaWVmxkng8nrXv3/AAb9/DD9qT9k34IW/wAC
												fjj8JvD3hTwX8OdPmj8OeK9O8Q2l++vSSX0szRvDFM7oAszEMyR5CgEAnFAH6KUUUUAFFFFABRRR
												QAUUUUAFFFFABXwJ/wAFE/8Ak4+b/sHW/wDJq++6+BP+Cif/ACcfN/2Drf8Ak1fZ8C/8jJ/4X+aO
												fFfAeFUUUV+wnnhQOtFA60AfrNof/IFs/wDrgn/oIq1VXQ/+QLZ/9cE/9BFWq/m2fxM9g/If/g44
												/Z+0L9qn/gpJ/wAE9/h74oWaXw14o8TeI7TVYIpGja8tB/YzzW5dCrKsqK0ZKkEByQc1U/4Ocf8A
												gnf8Efgj/wAEmdW8beA/hf4I8A+LPh9rOkS6LqvhrRrfSruASXkduyNLCiu6bZS2GJ+dVbqM19O/
												8FL/ANiT4iftI/8ABSL9iv4i+EtJtb7wn8Gtf1y/8VXUt9DA9jFcx6eISsbsHlLG3l4QEjAzjIra
												/wCC+/7Hnj39vD/gmD42+Gfw00u31nxhrV9pc9paT3sVmkiwX0E0hMkrKgwiMeTzjA5qQPlv/gsD
												4bT9vb/gpZ+wv+zb42u7yT4beModT8aeJ7CGcwR69PZ2DzxRSbMELiCePKFSBdyYIO0jvv8Agur/
												AMEmfgM//BMD4jeKfCPw08EfDnxh8KdGfxP4c13wvo9vo95ZS2eJfK8y3VC6Oism1sgMyuMOqsO8
												/wCCsP8AwTE+If7Vfgf4K/ET4NeJdO8H/tA/s+3Iv/Dc2oN/xL9RjkiiW6spiAw+cwptZgyEeYjA
												LKXT50/aC+D/APwUf/4K1fDn/hSXxQ+H3wt/Zz+GmtTwDxh4l03W4tWvNatopVdobSGK5ndFdlVt
												kmwttCtKFLo4B5Z/wVk1Cb/goX+xn/wTA/4Tqaaab4yeLPDlh4kmiYxtctqFvZwXbrtI27/MkOAR
												jdjPevrb/guz+yx8M/2aP+CIv7RC/Dr4e+C/Ag1LRdIt7z+wNFt9O+2R2+p24gWXyUXzPLEsm3dn
												HmNjqa1v+CkP/BNDxZ8Q9b/YZ0X4R6DDdeDf2c/iLoF/qSXGoxQyabomntaoGHmMpmZYoPuoCxI6
												c17N/wAFpP2ZPGH7ZP8AwTD+LPwz8A6fBqni/wAVWFrBptrNdR2qTPHfW8zAySEIvyRucsR0xQB8
												maL/AMEk/wBn/Sf+Dem8aT4Y+EL7xNqXwbfxXdeKLnS4Zdcl1dtJN99sF4wM4Zbg5Vd+1UAjwUyp
												g/4N+/8AgmL8Cvjb/wAEfvAfij4hfDXwp8RPFHxM0+6Guaz4ksE1LUHghuJrK2t4Z5Q0lvFBa20E
												cawsgTywy4bmvtD/AIZ38Vf8OkP+FTfYof8AhNv+FQ/8Il9k+0p5f9o/2N9k8vzc7Nvncb87cc5x
												WT/wRb/Zk8Yfsbf8Ew/hP8M/H2nwaX4v8K2N1BqVrDdR3SQvJfXMygSRko3ySIflJ64oA/O//gih
												pPhHxj/wbc/Gbwb8VfiVr3w9+GOi+JvEGg3/AIisrqOG60rSybaWWKMvFKp895pYzGsbNJ9pdEG9
												1NcZ8Ov2sP2R9c/Zstfhd8Bv+CeXxU/aA0eGwOlp4in+HNrAuuts8s30mqhJrhJHb5jMyRtGcbQo
												VVHsf7PP/BDX4seKf+CEHxq/Zv8AGUml+B/Hnjbxxd+JtFke+S8spFSexuLYTvAX2pK1qyNjLR7g
												+1toU9D8O9T/AOCoXxT+Eel/Bm6+FfwX+B9hb6ZHoF38SY9YgvjbWkaCEz2NhbXMhScxL8ivGqBj
												wIhgoAfOH/BJHxFfa3/waMftJWt5dTXFvo9t4utLKN2ytrCbCGYovoplmlfHrIx71+qn/BFr/lEn
												+zj/ANk90f8A9JI6+Mf2Cf8Agkx8a/2ZP+CG/wC05+zfrmiabceMPE1/4jg8ITW+pW/2fXra6sLe
												C2mLeYRAXkic7ZdhVSuec199f8E0Pgp4i/Zu/wCCfPwZ8A+LbSOw8T+D/B+m6RqltHOk6QXMNuiS
												KHQlWAYEZUkGgD3CiiigAooooAKKKKACiiigAooooAKKKKAPDf2/v+SOab/2GYv/AERPXyDX19+3
												9/yRzTf+wzF/6Inr5Br43Ov95foj+l/C3/kRR/xS/MKKKK8k/RQr7J/YS/5Ig/8A2Epv/QY6+Nq+
												yf2Ev+SIP/2Epv8A0GOvYyP/AHn5M/N/FT/kR/8Ab8f1PZ6+A/8Ag5s/aQ8Rfsz/APBHn4j6h4Vv
												rjS9Y8TTWXhoXtu22W2t7udVudp7F4FljyOR5uQQQCPvyvFP+CiX7Eegf8FFv2NvHHwf8R3k2l2X
												i60RYNQhjEkmm3UMqT29wFJG4JNGhKZXeu5cjdkfYH81n4/fB7xvpHwh+Adh8P7b/gjv421zSYLF
												LS5v9Y0mK+1PVGA5nnun04ytKzZYMGGwkbNgCgV/gZ4d+K3ws/4N/P23/Avjr4YfEL4W+BtDluNS
												+HukeLhM91pul3kgc2EcsqqZUgeMMWAGXuHYgFq+iPhV43/4KsfsofDKw+FUPwZ+Dnxg/wCEbtU0
												rSPiDN4nht45oEGyKW6gkuoJ5mVAoJEUbMFBbexZj6Rq/wDwTU/aGv8A/gjD8cvh38QPiPqXxm+P
												Xxggur+RLrV2/snSZpnjZdOsTOVjht02ueFjTLlQoVUFAHff8EPP+Cf3wh+Cn/BPH9nnxlpPw/8A
												CDeO9S8Haf4qm8US6RA+tNe6nYCW5f7WVM3KXUkON+PLwuAvFfF//BrN/wAE4vg38Y/2bPib8U/H
												ngHwv4+8V3/j/VNBtpPEWmQ6lBpdlAkDiOCKYOiO8k8peRQGYFV6Kc/q1+wB8KNc+A37B/wT8DeJ
												rWOy8SeC/AWhaFq1ukyzLBd2unQQTIHQlWAkRhuUkHGQSK+c/wDg31/Yf+Iv7An7GHijwb8TtJtd
												G1/VPHuq67bwW99DeK9pOlssT74mZQSY2+UnIxyBQB88/wDBLLwF4f8A2MP+C7n7eHw98BaTb6B8
												P9L0Lw/4jg0CzAhtLed7CG6YQoBtjQPeXAVVAVVZVAwoAzf+Dbf9hr4a/tb/ALIWvftJ/GDwf4V+
												KnxW+NHinVb/AFTU/E2lw6oLGOO5eEW8Ec6ukKllkY7ACVdEJKoir9Nfsq/sSfET4Xf8Fy/2pPjd
												rWk2tt8O/idoPh+w8PX630Mkt3LaWFlDOGhVjJGFeGQZdQDgEZBFfNPwv/Y7/ba/4IseO/HPhP8A
												Zk8C+BPj58A/FutT6/oGh6vrcOk6p4Qlm+/B5k88KtGAqKcNIH8tXAiZ5AwBofsufBnQP+Cav/Bz
												J4g+FPwttE8PfDX46fCtfGV94ZtD5enaXqUN5PGskEXSNQLacqg+VBeOqhVCKvC/8EBf+CeHwl/a
												B/aU/bB+KHxB8F+HvHmuaZ8ZNd8O6Vb6/YR6hZ6VELhp5ZYoZQ0YmlMqKZCu5VhAUgM4P07/AMEs
												v+CdPxo0L9sHx9+1Z+1BrHhyf4xeOtHj8OaR4b8POZNN8HaUJEka3DkkNIWiiA2M4UCRjJI0zbeo
												/wCCKX7FHxD/AGMv+Gkf+FgaTbaV/wALF+L+s+LdC8m+huvtWnXHl+VK3ls2wnafkbDDuKAPmv8A
												Yz/Zy8Efs9/8HNX7Q3wu8H+GdG0P4Z+N/gtDrWq+E7eyiXRZp2u9OgYC1C+WI2Se4zHt2/6RKMAN
												iqX/AAQY/ZQ+Fqf8FLv25bpfhr4AW6+G/wAUIYPCUw8PWnmeF4/M1AbLBvLzarhVGIdowo9BX058
												OP2JPiJ4c/4OEvH/AMfrrSbVPhhr/wAI4vCdnqQvoWmk1Fb2wlMRgDeao2QSHeV28AZyRXjf7Kn7
												Lf7VX7Bf/BYD42at4f8Ahj4Z8c/Af9ofxpb+IdV8VjX7W1vPDcB892xbSTJLIyNcsrKsT7hGCp5I
												oA/UqiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo
												ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
												gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
												CiiigAooooAKKKKACvlHxJz4hv8A/r5k/wDQjX1dUZs4Sf8AVR/98ivZyfNvqMpNx5ua3W23yZ4e
												d5M8wjBKfLy36X3t5o+R8UYr64+xw/8APGP/AL5FH2OH/njH/wB8ivd/1vX/AD6/8m/4B89/qS/+
												f3/kv/2x8j4rq/giP+Lo6T/vv/6Lavo37HD/AM8Y/wDvkUJaxxtuWONW9QorHEcVKrSlS9lbmTW/
												dW7G+F4PdGtCr7W/K0/h7O/ckooor48+2CiiigAooooAKKKKACiiigAooooAKKKKAOH/AGkv2dfC
												P7W3wJ8T/Dfx5pSa14S8XWTWOo2hcozISGV0YcpIjqrow5VkUjkV+b8H/Bst4ksPC/8AwgFn+2p+
												0ha/BVYzZL4NTUfuWONv2QTeYIRHt42fZvL6/JzX6sUUAec/snfsp+B/2Jf2f/Dvwx+HOjrovhPw
												xA0VpAZDLJIzu0kk0rty8kkjM7MepY4AGAPRqKKACiiigAooooAKKKKACiiigAooooAK+Bf+Cif/
												ACcbPx/zD7f+Rr76qGfTbe6k3S28MjdMsgY17WQ5t/Z2J+sOPNo1a9t7eT7GdWnzqx+Sx60ma/Wf
												+xrP/n0tv+/S/wCFH9jWf/Prbf8Afpf8K+y/4iFH/nx/5N/9qc/1XzPyYzRiv1n/ALGs/wDn1tv+
												/S/4Un9i2f8Az52v/fpf8KP+IhR/58f+Tf8A2ofVfMNE/wCQLZ/9cE/9BFWqBxRX5pJ3dzsCiiik
												AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHhv7f3/JHNN/7DMX/
												AKInr5B/z0r9LZ7eO6TbJGkig5wy5Gai/sm1/wCfW3/79j/CvFx2UvEVfac1vl/wT9O4V8RI5PgF
												gnQ57Nu/Nbfy5X+Z+a9FfpR/ZNr/AM+tv/37H+FH9k2v/Prb/wDfsf4Vyf6vv/n5+H/BPo/+IxQ/
												6BH/AOB//aH5r19kfsJf8kQk/wCwlN/6DHXsH9k2v/Prb/8Afsf4VLDbx2ybY40jXOcKuBXZgcpe
												Hq+05r6W2/4J81xX4hRznA/U1Q5PeTvzX2v05V+Y+iiivZPzMKKKKACiiigAooooAKKKKACiiigA
												ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
												iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
												KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
												AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
												ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
												iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
												KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
												AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
												ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
												iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiuD/AGp/jBH+z3+zL8Q/HkhjC+DP
												Deo638/3Sbe2klAP1KAYHrWOIrKjSlVltFN/crmlGlKrUjTjvJpL56HeUV+Ov/BJv/gll8QP23P+
												Cf8A8PPix8TP2vv22ND8WeO7afVJLLw/8VpbfT4bdrmUWxjSWGVxuhWNzlzy3QDivQPg7F8Sf+CX
												v/BZf4U/Alfjd8Vvjf8AC749eHNUvntfiLrK67rXhu+sIXlFxHd7VdYJBHsCBVQlnyGZQw7JUXGv
												9WnpL3l5XjFyav6Rfzt6nP7WLpOvDWK1vto2knb5p+m19j9SqK+UfiN/wXA/ZZ+FGlWt1rnxa0+F
												r7xJd+E7S0ttI1G9v7zUbWUwzpDaw27zyxLKDH9oRDCz4VZCxAO5+2d/wV8/Zu/4J8eIdO0f4u/F
												TRvCuuapH58Olx2l3qeoRxkZWSW3tIpZYUbna0qqrFWCklTjn5o8qnfR6J9Hono+ujT9Gmbcr5nD
												qr3XVWdn9zVn56H0lRXkvwS/br+Ef7SH7Nt38XvA/jrR/Enw70+1uLy91a0En+gpBH5syzwsomhk
												SP5jFIiyAFTt+YZ+C/8Aglh/wXE8Kft9/wDBVP4zeFk+KFxqnhm6FtY/CTw3BoN3awXtnBbPNqV/
												K5t1IkZ4kK/anRlUsqKNxB0jFyrOhb3lFyfkltpvr08lJ7RZnKcY0fbX0bUV5t+e2nXzst2k/wBT
												qK+Uf2sv+C4v7Kf7EHxLbwb8SvjJoWj+KIVJudNsbG91mewIx8lwLGGb7PJgghJdjlSCAQc19C/D
												T43eD/jL8KrHxx4S8S6L4l8H6lbNeWur6bdJdWk8S5DsroSPlKsGHVWVgQCCKzUk6bqp+6t30W/X
												bo/uZbTU1TfxPp1+75o6mivjT9m79sL4D/s//sV+K/2hV+O3xJ8e/CLxv4rudWj8ReLv7R1I6ZLP
												drZDTtPtRaJcRWcdwpSOJYWxljuK8jf8V/8ABcD9lHwT+01b/B/UvjV4Xh8f3F6mm/YkhuprWC6Y
												lRbzXqRG0hlDDYySTKyP8rANxWnK+ZQt7zsrdeaybj5tXXys9mhSaScnsr69LJtX8ttez03R9WUU
												V80/8Fjf2i7/APZQ/wCCXvxu8d6TqE2la1pPhe4g0u9hlaKW0vLnFrbyo6kFXWWZGUgghgK58RWV
												GlKq+ib9fL5m2HourVjSX2ml959LUV+W/wCxz/wRO8WfF79lD4b+LPHX7ZX7c9j4w8UeG7HV9Xtt
												K+LMsNnbXFxAkrRxJLbu6qu/GGdjx1r6k/ZI/wCCeNr+wFr/AIk8ZXn7QH7THxWtX0iSKax+JPjo
												67p9hGjLM08MXkxhZsR7d5JwrMOM11YiKoSnGs7cl7vfa/8AkctGo60Iyoq/Na3zsfUlFfnt/wAE
												EP2gta8V/wDBNjxJ8dvi/wCPtV/snx14w13xPBqXi/xA7Wnh/SFujBDCr3MpjtbaPyXIQFUAbgYI
												J9O/Z/8A+C837I37UPxut/h14J+NWgal4uvpmtrO0urC+06G/mDhBFBcXMEcE0jsQESORmk6oGHN
												TySU1Sa99pNx6q6Taa7xbs/NMrnXLKf2VJq/R2bV0+ztdeTPruivz/8A+Din41eLvAP7J3w78E/D
												7xh4h8D+NvjF8TNC8H6fqmg6lLYalbxzTM8rRyROkgHyIrBTyJMHgmvpz9o79uj4UfsV6n4H8P8A
												xA8WTafr3ju7XSfDek2mm32tavrc6gA+Xa2kU1w4BKhpCm0M6gtllBmn78brfn5Eu75Yy0/8DSS3
												uVU9xpPbl5m+y5pLX/wFvyPZKK/J39u7/gvz4B+G/wDwVs+Enwjs/i3N4Z+HXhG+1FPij9k8P3s0
												9xqkahdP0zets8pTzwpc2+UYMUd9u5a+6/j/AP8ABTb4E/sseKvFGifEL4jaT4V1PwboMHiXV4by
												3uP9Gsp5Hig2ssZWWeR43CW0Zad9uVjI5qYyjKjGvf3ZOVvPl3f3Jv8Aw2ls0ErqrKj1ik35X0S+
												+y7cz5d00e70V86+JP8AgrL+zz4L/ZF0X47a58S9N0L4X+JQx0fVNTsLyyuNX2yNGRbWUsK3c7ZV
												mAjhYlBvAKfNUv7En/BVr9nz/goxe6xZ/Bv4maT4w1HQUEt7YG0utNvoojgeaLe7iileIFlUyIpQ
												MwUkEgVpyy55U7ax3XVeq6fMnmXKp30ez6P07n0LRXgfx+/4Kh/AP9ln4j+IvCXxB+JGkeFdf8Ke
												Gl8W6pb3lvc7LbTmmEMbiVYzG80khCpbozTyEjbG2RVn9iP/AIKV/A3/AIKNaBrOpfBj4g6b40h8
												PTrb6lAtrc2N5Zll3Iz211HFMI25CybNjFHUMSjATD303DW2una9vzTXqrblS934tP8AgpP8mn6N
												M9zor8u/E3/BQvR/hZ/wW/8Aj14n+I3xc1bwd8DfgH8PNJ0S80241W5XRZtcv3+1KwskyLi8MAlV
												RHG8pEZ2g7Tj7k/Yy/b5+EP/AAUJ+HF34s+DvjbT/Gmiafdmxu5Ibee0ns5gM7Zbe4jjmjyOVLIA
												w5UkUUv3lNVI9U36LmcU35Ssmn1Ul3Cp7lR05aWaXq3FSaXmr2fmmewUV8nftYf8Fy/2Uf2IvilL
												4J+JXxj0XR/FVsm+602x0++1iawP9y4+xQTCCTGD5cpV9pVtuCCfoP4afHvwX8ZPg9Y/EDwr4n0X
												xB4J1KzbULbWbG5Wa0kgXO9t46bNrBlOCrKysAQQJ5k6bqp+6t30W/Xbo/uY3Fqapv4n06/d80dd
												RXyzoX/Ba39mHxT4x+GPh3S/ila6p4h+MIRvCml2ei6lcXt6ryeXG80KW5e0Rzlle6ESsis4JRWY
												V/2sv+C4v7Kf7EHxLbwb8SvjJoWj+KIVJudNsbG91mewIx8lwLGGb7PJgghJdjlSCAQc1UtN+7Xz
												j8S9V1W66iWu3ZP5PZ+j6Pr0Pq6iuc+Enxf8K/Hv4daV4u8E+IdH8VeF9ci8+w1TS7pLq1ulBKna
												6EjIYMpHVWUggEEV8nfEf/g4l/Yw+FHxevvAutfHTQo/EGm3q6fc/ZdJ1K+sYpjtG03sFs9rhS2G
												YS7UIYMVKsA5Jxqeyl8Xbrpo9N9G194oyTh7RfD36ff8j7Uormb341+DdN+E3/CfXHi7wzb+Bf7P
												XVv+Ejk1SBdJ+xsodbn7UW8rySpDCTdtIIOcGvmr9n//AILzfsjftQ/G63+HXgn41aBqXi6+ma2s
												7S6sL7Tob+YOEEUFxcwRwTSOxARI5GaTqgYc0JN1PZL4u3X7twbSh7R/D36fefXdFfn/AP8ABxT8
												avF3gH9k74d+Cfh94w8Q+B/G3xi+JmheD9P1TQdSlsNSt45pmeVo5InSQD5EVgp5EmDwTX05+0d+
												3R8KP2K9T8D+H/iB4sm0/XvHd2uk+G9JtNNvta1fW51AB8u1tIprhwCVDSFNoZ1BbLKCqfvxut+f
												kS7vljLT/wADSS3uOp7jSe3LzN9lzSWv/gLfkeyUV5zN+1p8P4P2prf4KnXnb4mXXh0+LE0ZNPun
												26YJjAbh5xGYE/ejbseQOSRhcEEx/Ej9sD4c/CT9oLwD8K/EHiRbHx/8Tlu5PDWkLZXM8morax+b
												OxeONo4VVATmVkDYIXJBFEdbW+1e3na97d7Wd+1n2YPS7fRXfkmk7vsrNP0afU9Kor5p+PP/AAWG
												/Zr/AGY/+E2Xx18VNI8Py/DzVbbRNbhlsryWaK9uIkmjggjjhZ7pxG6u4thJ5SnMmzmu2/ZZ/b0+
												FX7aOqeKLH4ceJbnW7/wWbIa1a3Wi3+l3Gn/AGuHz7fdHdwxMd8fzfKDjocHiiHvpuGtkm7dE0mn
												6NNNd013QSfJZS0vdLzaumvk00/R9j2CivNfiF+178O/hb+0J4J+FOta+8PxB+IkNzc6Do1vp11e
												S3UNuu6aaRoYnS3iUZ+edkUkEAkggeN/tZf8Fxf2U/2IPiW3g34lfGTQtH8UQqTc6bY2N7rM9gRj
												5LgWMM32eTBBCS7HKkEAg5qeeOjvve3nbe3p17Fcr102tfyvt9/TufV1Fc58JPi/4V+Pfw60rxd4
												J8Q6P4q8L65F59hqml3SXVrdKCVO10JGQwZSOqspBAIIro60lGUW4yVmjOMlJc0XdBRRRUlBRRRQ
												AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB
												RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF
												FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
												UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
												AUUUUAFFFFABRRRQAUUUUAFFFFABXwV/wcyfF24+E3/BGj4rx2MkkepeLhYeGbZYyQ032u8hSVBj
												k7oBMCO4J69K+9a+Of8Agrz/AME7/Fv/AAUbh+BegaRqHhmz8H+B/iPp/i/xdb6rczxTahZWwZTB
												bLHE4eRllkHztGBx83WsqtGNXlpT+GUoKX+FySl/5Lc2o1nSbqx3ipNeclFuK+crHh/7NXwZ/wCC
												mf7On7PPgfwD4bT9g+PQfBuhWejaeL5/Fb3XkQQpGhmZAEaQhQWKgAsSQMV33wK/Yb8Tfsl+NfiV
												+19+0n8RrH4ofGPT/Bl0ka6Tpn9n+H/A2lQRvdzafpyO2+Vd6uBcS7JHT7wDPIz/AHxXhf8AwUx+
												AHjb9qv9gz4ofDX4eX3h/TfFnjrRJNEtbrW55oLGCOdljuGd4Y5JAfIaXbhDltoOBkh46pVqQqVK
												f8SSlZ9U5Jp6vRXvZvtfVJu+eBpU4yp0qvwJxv0TSaevkrXttez3St8if8G/H7M2j/sYf8EoD8bN
												Z05Ljx/8TNIvPHuv6nNEWuXtG866trVSQGEIiPm7FwDJPI38VaP/AAbefAOx8QfskzftOeLLa21n
												40/tEajqGva/4gnXzLmK1+2yRwWMDnJit1WFG8tcDO0HIjj2/dnwu+C+l/Dj9n/w78O/LjutF0Lw
												/beHihXas8EVutuRjsGVfXvX55/Bz/gnB+27/wAE+fB2rfCH9nX4sfAvUvglPd3M3hy++IGm6jJ4
												o8EQXMkjPDbLbq1rdGEv5iNcZWSTOY40OyuqtOEcVV9ivd5VGnbRKKbvHpbmShq/5Wm1za89OM6m
												Hpyqv3uZznfdya0ei15W5aL+ZNK0dM39gHWfD3wO/wCC3/7fLeDEj0/4c6Homja9r9rZ7V02HWvs
												zTXLgLwkrH7UX6Hf5uRwMcT/AME0vjL4g/Y7/wCDbf4t/tGRIv8AwnHj+68T/ERG8nKx391dNaW8
												hBb5lDRRycnO045xg/V/7PP/AARp0n9mX/gn38XPhPonjjVNW+I3xssNTbxZ8RNRtz9t1bVL2CWM
												3bRLJlI0MrFYhISNzkuzMzGD9hP/AIJ9fFK0/wCCZerfs1/tLSfCu+8OL4eXwbpL/DyW/WRtL+y+
												UZrmW7Rf9L3/ADho41QEAkHJA4alOawlShB3mqMYRe123JzSvbaSpqN7WjFbao7I1IvEU60l7rqu
												TW7tGMYxb6e8nOUrbzfXd/F//BIa7/aq/Yh/Y40uz8L/APBP6L4gah8QoR4j8Q+OL340aBa3/jZ7
												vdPHPcJJG8ioI5sLFIzbQzE/O7ltP4HeBfiz/wAEvf8AgiX+2xrHxP8AAP8Awp/T9e1TW9T8D+EY
												tfsdZi8OwarBHbQwQzWrmMRpcTKoGE5QsIxuw3r/AIE/YB/4KCfDT4GWX7Puh/Hz4F2Pwl0u0GhW
												PxE/sLUpPiDaaWq4RFtS32HzFTECt5u9YwHEokAI7j9sL/gin/wkf/BKzwd+yr8EbzSPD3hGz8Q6
												XP4ku9evZVutU06K4N1ey+ZFBJ5l5NOEfBWOPOQCiBUrqxkI11VUHaNRKmm1qoSlG7cVZJQilZeT
												SSWplg5OjOnKpq4SdSVtnKKls3dtzbdvk5O9kfHv7aX7MK3X/BKz/gnf+x+sN3pt78XPEejT69DE
												dk0VtHatd6o3zchkkvS4BHBTHHAPun/Bxr8IvB/wU/4JE+B/gH8PfDOiaFB408caB4O8J6Va2ihL
												SU3BmLx5HEjeW++QncxmcsxLsT9KfGr/AIJ7+KvjB/wVm+Bvxom1Lw/F8Mfgn4V1OzsdK+1TDUX1
												e8V4DIIfJMPkiAx/N5ofcg+XAyZP+CgP7BPjL9sj9sj9l/xRbX3hOP4b/BbxPc+LPEFlqE041G+v
												FiQWP2aNYmicJIpZjJIhGcjPStJVFVqxqNW9pXVSXlGM4pX7+5ByX+Oy3MaMZUaaS3p0eSL7ycZN
												2/7elFPzi76Id+1F/wAFRv8Ahi34kweA/wDhnT9rL4rNp+m20ra/4D+Hx1vSJSyY8v7SZ490q7cu
												AuAWHOcgfIP/AAcIfHzUf21P+CanwN8C6P4S8dfD3WP2lfiPpegx6H4u0gWOuaTDHPIS9zZh2xiR
												IH2b/uspJGeP12r8+f8Agrv/AME9v2iP2rv2vv2ffif8FNW+DsMXwNmvNVi03x7eamlreajMYwkh
												is4GLLGsQIPmowY+nXllac6cayunUi21paMZcz27pWv3sbU06dOXsXa0JJLe7ceVb9m7vyG6N/wT
												Z/bi8P6Ra6fZ/wDBRBbezsYUt4Il+Anh/bHGihVUfvuwAFXP28/EHxM/4J+/8EQ/jtqXxW+NM3xg
												8cf2HfWdn4mbwtZ+HvLa/CWVtAlpa7k+R5s72LMSxJIAADP+Np3/AFYB/wCXdVj9ur9hL9oz/go1
												/wAE8fBPww+IWrfBXS/Gl940sNS8fSaBJqcehyaNa3ckwisRPHJNJcFVtiRNsQsrjcBtNViKcq9O
												VKT0qNRk3q0pSSlJX6pXd/k9HZvDzjQqRqJfBeSS0u4ptR7a2sr6JtPofAH7c3wy8fWHwT/4J/8A
												7Hfgr4d3vxQ0/wD4RaDx74u8FR+ILbw8PFrWkcc72kl5OfLjiErXbupUk5TaS4DL61/wUq8Jftjf
												8FBf2MY/hJp//BPfTfhvcaFdafe+EtcsfjF4cuD4QmtJEMbWkCLD5f7lXhAjkTar8ZA2n7a/4KZf
												8E4PFn7Tnjv4XfFz4N+NNN+H/wAcvgncXEvhy51a3kuNF1m0uECT6bfJH+8WGTao81AzIrSAISys
												nnfg3/gmx+0D+2V+0L4J8d/tleOPhbqXh34V6guseGPhz8NLK9j0C71RB+51O/uL3FxLJHuYLAAY
												8qjBgGljl25/bTk5e7zVJVH5e9eLi1ZtqKjFLS0ottxi+YxpxdGMbWfLTjBado2lFp6Wcm23s4yt
												Ztcp82/8Fvf2hfGXh3/gpZ+w/wCB9E8B6p8WfiN4Rsb/AMYf8IzYmPbqWrSQC3spZZPuxQRXVvLL
												LMdqRxq75wuR6N/wb9aBD+0Z8a/jp8WvjdG+vftceCfF114L8QzX8sc0HhawjBFvBpEIUC0tHDTp
												kFmlMcjFzvbP014C/YP8a2//AAWe8c/tIeI9R8LzeELj4fWngfwnY2lxcPqduBPHc3MlxG0SxJmU
												SBTHI5KkZC8iszwl/wAE8vHHwb/4LP8AiX9oLwXrHhmH4Z/FXwnDpXjzQ7q6uI7+XVLYBbW9tokh
												ML4SKJCZJFIEs5AJYUYWdmpSVnUVVv8AuylJuOnTmpwUH1tKK2TuYimnHlhtT9kl/eSS5r93Gc5T
												XZxflbyn9hZZP2gv+DhD9rv4iS7HsfhX4d0L4baWwXP+tUXlyN2eqzQsCMD749MnG/YC/Z+0D9rv
												/gt3+1Z+0RrlimrQfDHXrL4d+EFuU8yGwvrKxjS+uUByvnIzFEcHci3EvTfx6d/wT1/YP/aA/Yn/
												AG1/jdf33iH4R+I/gj8WvF2peNvtJTUh4yjvLlYxDbsG/wBFW3iwy53SMQoI27tiepf8EpP2MvFX
												7FP7OviDSvHuoeHtU8deNvGmt+NNen0OWaax8+/umkVI3mjjkYLCsQO5FwQQMgBjnhfdVGT+xS07
												qpKUXL561deifS6NMTq6yjtKol604xfL8vcp37u6ejZ8vfsufDrTP+Cg/wDwXk/aD+Inj60t/EOl
												/suvpXg/4f6bdp5lrpN7LE893fiJsr9oEqHZJjjKkYaNCp/wVH0vR/Df/Bdv9hPVvCkK2vxM1y91
												qx1uaw2i5vdBjtgSlyBy0S7rkoWGB+9wcgY7n49f8E4f2gvgR+3J40+PP7Jfjj4Y2N98Wre1h8ce
												C/iTbXz6Hd3NtGY4tQt5rLM6Shdq+VhVy0jF2DKi6n7JH/BOTxH8Bfjz4y/ay/aZ8eaT8RvjY+hT
												wQjRLJ7Tw74C0qNXkkstNSU+ZIu3cPPlCuVZgQWeSSTOjVjShQqVPdjRXNLzkoycrd1Uk229lBuL
												s0olVabnOvGPvOr7sfJO0Y37OmrWW7nFSWjuvIP+Cf3wH8K/tn/8F2f2svj94j0m01qb4Q6zp/gD
												wh9qjWeHTbq2tVS7uYwR8sytEArdUE8mDk8a+s+HtL0D/g6z0SbwfAtje6p8Eri+8d/Yykcd5i8M
												VtLcgYLyDbbLlgTtWHsOPA/+CLH7NP7UGnfsXt+0J+z74l+F9r4q/aA8Ratrnifwx8T4L6bRZ4v7
												QuPs2oW01i3nw3QAkjZCDHKkisdrRjd9t/se/wDBMfxp+zJ8PvjR4/17xtpfxE/al+N2myPq3ia9
												hez0ayuUtnSysLZEV5IrCByq7gu91RW2LtSNa5amHhTbjaVKm7x6upKm4yj5805Obd2lbldnZJNw
												rTqxTuqk0lLooRqRcX6KMFFaXd+bVNyPnr/g38+Anh79pX9oD9pD9rTxBZ2PiHXPF3xS1fT/AAbf
												TqJl0rT7fMIntgfkSSSKUQ+ao3+XGybtruG8y+A37QF98EtZ/wCCrn7UXhILYw6XrZ8OaEn2f/R5
												NT0u2lgNyQDhiZ54XPf94xb7xFfob/wSY/Yd1n/gnT/wTk8DfCXUbjQdQ8WeHrW7m1K70+WV7G7v
												ri5mnZxI8aSMuZFXcyBsL04Arzb/AIJ6/wDBI2b4Mf8ABLLxZ8BPjNfaX4g1z4pXeuXvjTUNAvZp
												I7ubUZXHmwzTRRv5iwiE5aIAOh4YcmcVRcYVKNB/BQ9lF7Xk+RXXa/JJvtzLqy6NRSaq1V8dZTku
												qiueST9G4q3Wz6XN3/giB+xB4V/ZR/4J4+CbiHTbe+8ZfFLRLTxV431y6UXF94hv72H7Q/nzNlpE
												Tz2RFJwAWONzuW/Pf9lf4z6V+yr/AMEzf+CnF74JeS1+F/hvx1r+i+B4bZlaxs57uIWYS1IOBGJJ
												7YgAkBdnBJIP0h4D/YB/4KEfCz4EW/7Pug/Hr4Ew/CfT7VdB0/4iTaHqbfEDTtKChVWO1DfYfNSM
												GFS0pcJ8wlWQKy998X/+CJVr4Z/4Jn+A/wBmP4O3ej6d4XtfGWj6x4z1HxBcTC81uzgu0u76cGKN
												hJdyyRRBUbZGFG3cgVa2xkIYmrVcfdp1EqaXVRnODba2SpwjZLu7LRO+eElLDwpKfvTpy9o30bjC
												eze7qSe9ul5atIxvh58IrX/ghr/wb9+JNY8K6ZDb/EDw/wCBDrerX7w7p73XZrdEWSYthmSCSSON
												Fb7kUKqBxg/Nn/BIa7/aq/Yh/Y40uz8L/wDBP6L4gah8QoR4j8Q+OL340aBa3/jZ7vdPHPcJJG8i
												oI5sLFIzbQzE/O7lv14/aP8AgB4d/am+APjD4a+KoriTw3420i40a/FtJ5UyQzIULRtghXXO5SQQ
												CBwelfnz4E/YB/4KCfDT4GWX7Puh/Hz4F2Pwl0u0GhWPxE/sLUpPiDaaWq4RFtS32HzFTECt5u9Y
												wHEokAIVWpKriK07fGopL7Nk5Xi3ZtJXhptaOzcUlNGkoUKNNv4G3J63u1G0rdXpO/W8tN2za/4I
												nfsL/F74O/skftDeBfiZ4Mm+B+l/EjxdrF/4Q8N2mu2OuDwnp+oWyrst5bVjFtickKpCZMZbYu7n
												5J+E/wAevjF/wQN+Byfs7/tY/ArR/iT+ybePdaLB8QfCFoLiBbW7Z3lGoW/R98lyke2YW8vyzGNr
												squfvb48/wDBCn4c/EP/AIJdaH+zH4N1zV/Aum+Eby21jRPEPlLf3iarDI0jXt1GTGtw0rySl1Bj
												GXGzYFVR5P8AEX9iv/god+2N8B7j4J/GT4l/st6L8O/E1guk+J/FfhTSdWvPFd/bKoLlYLhYbES3
												BQLIUWNYxI7RqCqqVUV6klTs1yxhaV+WcIxSi222017yfWzvaV+WNQ+BSqXWsp3VuaMpNt2S0d9H
												ba6tpbmfzj/wVn8DWuoal+xz+yb+zT8Nbz4lfBrVLaf4lHwRD4xbTYvFumwyfaobU6lqMsjLbnzL
												iRkkyQGQIAVXZ1n/AAUq8Jftjf8ABQX9jGP4Saf/AME99N+G9xoV1p974S1yx+MXhy4PhCa0kQxt
												aQIsPl/uVeECORNqvxkDafrb9s//AIJF6r4n8P8AwH8Tfs+eMLP4d/Fb9mWyGl+DZ9bhe70nWNN+
												zJbvpuoCPDiOVY0BljVmUNLhCWVk5/wb/wAE2P2gf2yv2hfBPjv9srxx8LdS8O/CvUF1jwx8Ofhp
												ZXsegXeqIP3Op39xe4uJZI9zBYADHlUYMA0sctqMZScOZ29pKbber968JJrVyUVGKWlpJtuMXzEx
												lKCVSyuoKKSWl7Pmi07qzk5NvVOMrWbXKfNv/Bb39oXxl4d/4KWfsP8AgfRPAeqfFn4jeEbG/wDG
												H/CM2Jj26lq0kAt7KWWT7sUEV1byyyzHakcau+cLkejf8G/WgQ/tGfGv46fFr43Rvr37XHgnxdde
												C/EM1/LHNB4WsIwRbwaRCFAtLRw06ZBZpTHIxc72z9NeAv2D/Gtv/wAFnvHP7SHiPUfC83hC4+H1
												p4H8J2NpcXD6nbgTx3NzJcRtEsSZlEgUxyOSpGQvIrM8Jf8ABPLxx8G/+Cz/AIl/aC8F6x4Zh+Gf
												xV8Jw6V480O6uriO/l1S2AW1vbaJITC+EiiQmSRSBLOQCWFPCzs1KSs6iqt/3ZSk3HTpzU4KD62l
												FbJ3nEU048sNqfskv7ySXNfu4znKa7OL8reWf8E3D/w0Z/wW7/bP+LR2zab4I/sj4WaNMh+XNtH5
												t+hB53LcRpyMD5jVTwfq8P7TX/Bz94qu4rmG40v9nH4TQ6UwRdwh1PU5hM2Wzw32eYg4/ukdc1X+
												C/8AwTX/AGw/2Nvjh8Y9J+DfxO+A1n8KfjN401HxlceIfE2hajqHjDw1cXy/P9mtUdLO4aEhAnny
												lHKbmRQxjPVf8E6P+CS3xG/YK0r9rDV28YaN4u8ffGrUp7nw1rGq6jcXE0qx29wtpNqk32dCszz3
												DvKsEbogOELDAHLTlKFKnUiv4VKTS6upKHLJfOVSpK/W2ml7dFanGdSpBP8AiVIq/SMIyTi3/wBu
												04x7pvW2hxn/AAb6/s+aD8WPF3x2/a21GxW/8RfGL4i68vhm9uU3NpuiQ3bQqICeEMrxbZGQnctv
												ECTtq58F/FOmfskf8HC/7Vja5e2+jeFvHXwp0f4j313O4SG2j03/AEOeZv8AZUeazHnH4ivrn/gm
												X+yTd/sKfsFfC/4T6ld6fqGr+DdFS21O6sWdra4vXZprh42dVdkM0j7WZVJGCVU8D5S/4LDf8EYf
												iJ/wUU/a18B+LPBfjbw/4L8I3nhp/A/xGaae4j1XUNEbUYbxoLNY4WRmbZKpEkkYw2PmDMK2qU3S
												rUqOHfuwi6SfS3s5RUml0c1Gbt11WpnGSqU6tWsmueSm1vL+JGTiu8lC8U9O2iPDvg18XvEVx+yt
												+1Z/wUs1bTry08WeL/D17o/wnsb+JWbw94ctm8izkKEja090BNIAxBCblJEmDif8Ehrv9qr9iH9j
												jS7Pwv8A8E/oviBqHxChHiPxD44vfjRoFrf+Nnu908c9wkkbyKgjmwsUjNtDMT87uW/WT4tfsneC
												vjF+yhrXwW1DTWsfAWteHW8LmzsG8lrOyMPkoITghWjUKVOCAVHB6V8G+BP2Af8AgoJ8NPgZZfs+
												6H8fPgXY/CXS7QaFY/ET+wtSk+INpparhEW1LfYfMVMQK3m71jAcSiQAhNJTqU6N+XlhGCdrNJzc
												uZ62cm4yl0k7uzaVmrzjCpVsnzSlK17ptRUeVdVFKUV1S5UrXZ3f/Bvp+yl8XP2S/g78YNL+J3w8
												X4S6T4m+Id94i8I+DY9fstah8P6fcxxsbeKa0YxiNXBULhMlC2xd3P6A15X+xX+x14L/AGCP2afD
												Pwr8AWtxb+HfDMBRZbqQS3V/O7F5rmdwAGllkZnYgBQWwqqoVR6pW9Zx5lGOqioxW+0Uordt7Lr+
												GxlSvZylvJtvbeTbe2nXZaLbXcKKKKxNAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
												iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
												KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo
												oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
												AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
												iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsP4nfDjR/jF8ONe8J+Ibea80HxNp
												8+l6jbxXUtq89vNG0ciCWJkkTcjEbkZWGeCDW5RUyjGUXGSunuioycWpRdmjkfgP8CvCn7Mnwd8O
												+APA+kroXhHwpZrYaVYLPLcC1hXOF8yVnkc8klnZmJOSTXXUUVpKTk3KTu2ZxiopRirJBRRRUlBR
												RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF
												FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
												UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
												RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF
												FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
												AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
												UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
												RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF
												FAH/2Q== </value>
										</observationMedia>
									</component>
								</organizer>
							</entryRelationship>

						</act>
					</entry>

					<!-- Ende Level 3 -->
				</section>
			</component>

			<!--- Speciality Hormone/Vitamine/Tumormarker-->
			<component typeCode="COMP">
				<section classCode="DOCSECT">
					<templateId root="1.3.6.1.4.1.19376.1.3.3.2.1"/>
					<id extension="P-body" root="2.16.840.1.113883.3.933.1.1"/>
					<code code="600" codeSystem="1.2.40.0.34.5.11"
						codeSystemName="ELGA_LaborparameterErgaenzung" displayName="Hormone/Vitamine/Tumormarker"/>
					<title>Hormone/Vitamine/Tumormarker</title>

					<!-- Start Level 2 -->
					<text>
						<paragraph styleCode="xELGA_h3">Hormone</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
								</tr>
							</thead>
							<tbody>
								<tr ID="OBS-4-1">
									<td>TSH</td>
									<td>1.00</td>
									<td>µU/mL</td>
									<td ID="OBSREF-4-1">0.49-4.67</td>
									<td/>
								</tr>
								<tr ID="OBS-4-2" styleCode="xELGA_red">
									<td>T4</td>
									<td>1.00</td>
									<td>ng/mL</td>
									<td ID="OBSREF-4-2">57.92-154.44</td>
									<td>--</td>
								</tr>
								<tr ID="OBS-4-3">
									<td>Freies T4</td>
									<td>1.00</td>
									<td>ng/dL</td>
									<td ID="OBSREF-4-3">0.71-1.85</td>
									<td/>
								</tr>
								<tr ID="OBS-4-4">
									<td>T3</td>
									<td>1.00</td>
									<td>ng/mL</td>
									<td ID="OBSREF-4-4">0.45-1.37</td>
									<td/>
								</tr>
								<tr ID="OBS-4-5" styleCode="xELGA_red">
									<td>Freies T3</td>
									<td>1.00</td>
									<td>pg/mL</td>
									<td ID="OBSREF-4-5">1.45-3.48</td>
									<td>-</td>
								</tr>
								<tr ID="OBS-4-6">
									<td>Prolaktin</td>
									<td>Wert folgt</td>
									<td>ng/mL</td>
									<td ID="OBSREF-4-6">0.33-27.33</td>
									<td/>
								</tr>
							</tbody>
						</table>
					<br/>
						<paragraph styleCode="xELGA_h3">Vitamine</paragraph>
						<table>
							<thead>
								<tr>
									<th styleCode="xELGA_colw:40">Analyse</th>
									<th>Ergebnis</th>
									<th>Einheit</th>
									<th>Referenzbereiche</th>
									<th styleCode="xELGA_colw:10">Interpretation</th>
									
								</tr>
							</thead>
							<tfoot>
								<tr>
									<td>
										<footnote ID="fn2">
											<sup>2)</sup>Referenzwerte sind NICHT alters- u.
											geschlechtsabhängig</footnote>
									</td>
								</tr>
							</tfoot>
							<tbody>
								<tr ID="OBS-5-1">
									<td>Folsäure</td>
									<td>7.3</td>
									<td>ng/mL</td>
									<td ID="OBSREF-5-1">4.6-18.7<sup>2)</sup></td>
									<td/>
								</tr>
								<tr ID="OBS-5-2">
									<td>Vitamin B12</td>
									<td>366</td>
									<td>pmol/L</td>
									<td ID="OBSREF-5-2">141-489<sup>2)</sup></td>
									<td/>
								</tr>
								<tr ID="OBS-5-3">
									<td>Vitamin B15</td>
									<td>390</td>
									<td>pmol/L</td>
									<td ID="OBSREF-5-3">290-490</td>
									<td/>
								</tr>
							</tbody>
						</table>						
					</text>


					<!-- 
						Ende Level 2
						Start level 3
						Anmerkung: Der Beispielbefund ist auszugsweise Level 3 codiert 
					-->
					<entry typeCode="DRIV">
						<templateId root="1.3.6.1.4.1.19376.1.3.1"
							extension="Lab.Report.Data.Processing.Entry"/>
						<act classCode="ACT" moodCode="EVN">
							<code code="600" codeSystem="1.2.40.0.34.5.11"
								codeSystemName="ELGA_LaborparameterErgaenzung"
								displayName="Hormone/Vitamine/Tumormarker"/>
							<statusCode code="completed"/>

							<!-- Hormone -->
							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="06330" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Hormone"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-4-1"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3016-3" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="TSH"/>
											<text>
												<reference value="#OBS-4-1"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="u[IU]/mL" value="1.00" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-4-1"/></text>
												<value xsi:type="IVL_PQ">
													<low value="0.49" unit="u[IU]/mL"/>
													<high value="4.67" unit="u[IU]/mL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-4-2"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3026-2" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="T4"/>
											<text>
												<reference value="#OBS-4-2"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="ng/mL" value="1.00" xsi:type="PQ"/>
											<interpretationCode code="LL"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="Low Alert"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-4-2"/></text>
												<value xsi:type="IVL_PQ">
													<low value="57.92" unit="ng/mL"/>
													<high value="154.44" unit="ng/mL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-4-3"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3024-7" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Freies T4"/>
											<text>
												<reference value="#OBS-4-3"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="ng/dL" value="1.00" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-4-3"/></text>
												<value xsi:type="IVL_PQ">
												<low value="0.71" unit="ng/dL"/>
												<high value="1.85" unit="ng/dL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-4-4"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3053-6" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="T3"/>
											<text>
												<reference value="#OBS-4-4"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="ng/mL" value="1.00" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-4-4"/></text>
												<value xsi:type="IVL_PQ">
												<low value="0.45" unit="ng/mL"/>
												<high value="1.37" unit="ng/mL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-4-5"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="3051-0" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Freies T3"/>
											<text>
												<reference value="#OBS-4-5"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="pg/mL" value="1.00" xsi:type="PQ"/>
											<interpretationCode code="L"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="Low"/>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
												<!-- text: Referenzbereich unter Vorbedingungen -->
												<text><reference value="#OBSREF-4-5"/></text>
												<value xsi:type="IVL_PQ">
												<low value="1.45" unit="pg/mL"/>
												<high value="3.48" unit="pg/mL"/>
												</value>
												<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.2.40.0.34.11.4.3.4"/>
											<id extension="OBS-4-6"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="20568-2" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Prolaktin"/>
											<text>
												<reference value="#OBS-4-6"/>
											</text>
											<statusCode code="active"/>
											<effectiveTime nullFlavor="UNK"/>
											<value xsi:type="PQ" nullFlavor="NAV"/>
										</observation>
									</component>
								</organizer>
							</entryRelationship>
							
							<!-- Vitamine -->
							<entryRelationship typeCode="COMP">
								<organizer classCode="BATTERY" moodCode="EVN">
									<templateId root="1.3.6.1.4.1.19376.1.3.1.4"/>
									<code code="06340" codeSystem="1.2.40.0.34.5.11"
										codeSystemName="ELGA_LaborparameterErgaenzung"
										displayName="Vitamine"/>
									<statusCode code="completed"/>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-5-1"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2284-8" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Folsäure"/>
											
											<text>
												<reference value="#OBS-5-1"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="ng/mL" value="7.3" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<entryRelationship typeCode="COMP">
												<act classCode="ACT" moodCode="EVN">
													<templateId root="1.2.40.0.34.11.4.3.2"/>
													<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
													<templateId root="2.16.840.1.113883.10.20.1.40"/>
													<code code="48767-8"
														codeSystem="2.16.840.1.113883.6.1"
														codeSystemName="LOINC"
														displayName="Annotation Comment"/>
													<text>
														<reference value="#fn2"/>
													</text>
													<statusCode code="completed"/>
												</act>
											</entryRelationship>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-5-1"/></text>
													<value xsi:type="IVL_PQ">
														<low value="4.6" unit="ng/mL"/>
														<high value="18.7" unit="ng/mL"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-5-2"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code code="2132-9" codeSystem="2.16.840.1.113883.6.1"
												codeSystemName="LOINC" displayName="Vitamin B12"/>
											
											<text>
												<reference value="#OBS-5-2"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="pmol/L" value="366" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<entryRelationship typeCode="COMP">
												<act classCode="ACT" moodCode="EVN">
													<templateId root="1.2.40.0.34.11.4.3.2"/>
													<templateId root="2.16.840.1.113883.10.20.1.40"/>
													<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
													<code code="48767-8"
														codeSystem="2.16.840.1.113883.6.1"
														codeSystemName="LOINC"
														displayName="Annotation Comment"/>
													<text>
														<reference value="#fn2"/>
													</text>
													<statusCode code="completed"/>
												</act>
											</entryRelationship>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-5-2"/></text>
													<value xsi:type="IVL_PQ">
														<low value="141" unit="pmol/L"/>
														<high value="489" unit="pmol/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>
									
									<!-- Analyse für kein LOINC existiert -->
									<component typeCode="COMP">
										<observation classCode="OBS" moodCode="EVN">
											<templateId root="1.3.6.1.4.1.19376.1.3.1.6"/>
											<id extension="OBS-5-3"
												root="1.2.40.0.34.99.4613.122082.1.3.5"/>
											<code nullFlavor="OTH">
												<originalText>Vitamin B15</originalText>
												<translation code="VB15" displayName="Vitamin B15"
													codeSystem="1.2.40.0.34.99.107"
													codeSystemName="LaborparameterAmadeusSpital"/>
											</code>
											<text>
												<reference value="#OBS-5-3"/>
											</text>
											<statusCode code="completed"/>
											<effectiveTime value="20161201081406+0100"/>
											<value unit="pmol/L" value="390" xsi:type="PQ"/>
											<interpretationCode code="N"
												codeSystemName="HL7:ObservationInterpretation"
												codeSystem="2.16.840.1.113883.5.83"
												displayName="normal"/>
											<entryRelationship typeCode="COMP">
												<act classCode="ACT" moodCode="EVN">
													<templateId root="1.2.40.0.34.11.4.3.2"/>
													<templateId root="2.16.840.1.113883.10.20.1.40"/>
													<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
													<code code="48767-8"
														codeSystem="2.16.840.1.113883.6.1"
														codeSystemName="LOINC"
														displayName="Annotation Comment"/>
													<text>
														<reference value="#fn2"/>
													</text>
													<statusCode code="completed"/>
												</act>
											</entryRelationship>
											<!-- Referenzbereich -->
											<referenceRange typeCode="REFV">
												<observationRange classCode="OBS" moodCode="EVN.CRT">
													<!-- text: Referenzbereich unter Vorbedingungen -->
													<text><reference value="#OBSREF-5-3"/></text>
													<value xsi:type="IVL_PQ">
														<low value="290" unit="pmol/L"/>
														<high value="490" unit="pmol/L"/>
													</value>
													<interpretationCode code="N"
														codeSystemName="HL7:ObservationInterpretation"
														codeSystem="2.16.840.1.113883.5.83"
														displayName="normal"/>
												</observationRange>
											</referenceRange>
										</observation>
									</component>									
								</organizer>
							</entryRelationship>
						</act>
					</entry>

					<!-- Ende Level 3 -->
				</section>
			</component>
			
			<!-- Befundbewertung -->
			<component typeCode="COMP">
				<section classCode="DOCSECT">
					<templateId root="1.2.40.0.34.11.4.2.2"/>
					<code code="20" codeSystem="1.2.40.0.34.5.11" displayName="Befundbewertung"
						codeSystemName="ELGA_LaborparameterErgaenzung"/>
					<title>Befundbewertung</title>
					<!-- Start Level 2 -->
					<text>
						<table>
							<thead>
								<tr>
									<th>Befundbewertung</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td>
										<paragraph>
											<content ID="commonComment1">Zur Bestätigung des
												Befundes neuerliche Untersuchung in zwei Wochen
												empfohlen.</content>
										</paragraph>
									</td>
								</tr>
							</tbody>
						</table>
					</text>
					<entry typeCode="DRIV">
						<act classCode="ACT" moodCode="EVN">
							<templateId root="1.2.40.0.34.11.4.3.2"/>
							<templateId root="2.16.840.1.113883.10.20.1.40"/>
							<templateId root="1.3.6.1.4.1.19376.1.5.3.1.4.2"/>
							<code code="48767-8" displayName="Annotation Comment"
								codeSystem="2.16.840.1.113883.6.1" codeSystemName="LOINC"/>
							<text><reference value="#commonComment1"/></text>
							<statusCode code="completed"/>
						</act>
					</entry>
				</section>
			</component>
		</structuredBody>
	</component>
</ClinicalDocument>
