<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="pt">
<Esri>
<CreaDate>20240620</CreaDate>
<CreaTime>15233800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>North American Profile of ISO19115 2003</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Bairro</itemName>
<nativeExtBox>
<westBL Sync="TRUE">574004.104800</westBL>
<eastBL Sync="TRUE">604020.583900</eastBL>
<southBL Sync="TRUE">7790042.882500</southBL>
<northBL Sync="TRUE">7812476.354200</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">002</imsContentType>
<relatedItems>
<item>
<itemName Sync="FALSE">rel_Bairro_Bairro</itemName>
<itemType Sync="TRUE">Relationship</itemType>
</item>
<item>
<itemName Sync="FALSE">rel_Bairro_Bairro</itemName>
<itemType Sync="TRUE">Relationship</itemType>
</item>
</relatedItems>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_SIRGAS_2000</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">SIRGAS_2000_UTM_Zone_23S</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;SIRGAS_2000_UTM_Zone_23S&amp;quot;,GEOGCS[&amp;quot;GCS_SIRGAS_2000&amp;quot;,DATUM[&amp;quot;D_SIRGAS_2000&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,10000000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-45.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,31983]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;1900&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;31983&lt;/WKID&gt;&lt;LatestWKID&gt;31983&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20240613</SyncDate>
<SyncTime>14563900</SyncTime>
<ModDate>20240613</ModDate>
<ModTime>14563900</ModTime>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<mdLang>
<languageCode value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</mdLang>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<dataIdInfo>
<dataLang>
<languageCode country="BRA" value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Bairro</resTitle>
<presForm>
<PresFormCd value="005"/>
</presForm>
</idCitation>
<descKeys>
<thesaName uuidref="723f6998-058e-11dc-8314-0800200c9a66"/>
</descKeys>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<idPurp>Divisão de bairros dentro do município de contagem, fornece o perímetro e a área de cada bairro. Para a base de dados geográfica corresponde ao perímetro dos loteamentos, considerados pela SMDUH.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="text-align:Justify;margin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Título Camada: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;Bairro&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Nome do arquivo: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;bairro&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Palavras Chaves: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;bairro&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Descrição:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN /&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;Divisão de bairros dentro do município de contagem, fornece o perímetro e a área de cada bairro. Para a base de dados geográfica corresponde ao perímetro dos loteamentos, considerados pela SMDUH.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P /&gt;&lt;P STYLE="text-align:Justify;margin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Método de construção: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;Material produzido após vetorização de quadras e lotes das plantas georreferenciadas, selecionados os lotes por nome de bairros na tabela de atributos e gerados os polígonos&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;font-weight:bold;margin:0 0 8 0;"&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:8 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Formato do dado: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;shapefile - shp&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Formato de Representação:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;polígono&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Projeção / DATUM: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;SIRGAS / UTM Fuso 23&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Escala de elaboração do dado: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;Mapeamento original 1:5.000 &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P /&gt;&lt;P STYLE="text-align:Justify;font-weight:bold;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Histórico de atualizações&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Data do dado: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;26/09/2019&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Data de conversão:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;-&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Data última atualização&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;: 29/08/2019&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;font-weight:bold;margin:0 0 8 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Pendências na última atualização: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;conferir distorções em relação imagem 2017, ajustando limites, memorial descritivo e legislação.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Periodicidade de atualização: &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;conforme aprovação de novos loteamentos.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P /&gt;&lt;P STYLE="text-align:Justify;margin:0 0 8 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Descrição dos ATRIBUTOS&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="text-align:Center;margin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;ATRIBUTO &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;DESCRIÇÃ&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;O&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;TIPO&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;TAMANHO&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;OBJECTID&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Código de ordenaçã&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;o da tabela&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;inteiro&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P /&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Nome_bairro&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Nome do bairro/ loteamento&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;varchar&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;50&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Aprovado&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Situação de aprovação/ regularizaçã&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;o&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;varchar&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;5&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Cp&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Có&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;digo da Planta &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;– atribuí&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;do pela Receita&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;varchar&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;10&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Regiao_adm&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Regional na qual bairro está&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;localizado&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;varchar&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;20&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Observacao&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Informações adicionais/ pendê&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;ncias&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;varchar&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;252&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;&lt;SPAN&gt;Planta&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Link para acesso a planta (aprovada) no site PMC&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;varchar&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;TD&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;250&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P /&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>• Fonte Original: Superintendência de Estudos, Programas e Projetos - SMDUH
• Conversão: -
• Responsável: SMDUH
• Última Revisão: SMDUH</idCredit>
<searchKeys>
<keyword>bairro</keyword>
<keyword>loteamento</keyword>
<keyword>aprovado</keyword>
<keyword>divisão territorial</keyword>
</searchKeys>
<envirDesc Sync="FALSE">Esri ArcGIS 13.2.0.49743</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-44.293520</westBL>
<eastBL Sync="TRUE">-44.005732</eastBL>
<northBL Sync="TRUE">-19.780743</northBL>
<southBL Sync="TRUE">-19.984815</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
</dataIdInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="BAIRROS">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode code="31983"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.11(8.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<eainfo>
<detailed Name="BAIRROS">
<enttyp>
<enttypl Sync="FALSE">Bairro</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Ident_bairro</attrlabl>
<attalias Sync="TRUE">Ident_bairro</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Nome_bairro</attrlabl>
<attalias Sync="TRUE">Nome_bairro</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">created_user</attrlabl>
<attalias Sync="TRUE">created_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_date</attrlabl>
<attalias Sync="TRUE">created_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_user</attrlabl>
<attalias Sync="TRUE">last_edited_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_date</attrlabl>
<attalias Sync="TRUE">last_edited_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Aprovado</attrlabl>
<attalias Sync="TRUE">Aprovado</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Cp</attrlabl>
<attalias Sync="TRUE">Cp</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Regiao_admin</attrlabl>
<attalias Sync="TRUE">Regiao_admin</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Observacao</attrlabl>
<attalias Sync="TRUE">Observacao</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Planta</attrlabl>
<attalias Sync="TRUE">Planta</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">250</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<spdoinfo>
<ptvctinf>
<esriterm Name="BAIRROS">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdDateSt Sync="TRUE">20240613</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAZABkAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK
CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU
FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAJtAu8DASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK5/xt8Q/Cvw10qLU/F3iX
R/CumzTC2jvNbv4rOF5SrMIw8jKCxVHO3OcKT2NAHn/7Tnxvvvgt4Amm8OaZb69421CG4XRdKuXb
y5JY4iweRUzIytKYLdFQZluby0g3Rm4V19gr4/sfDlv40+GfgH4g37f218RPij4m8Oazp817BCZ9
N00XtprDaPbzhF221tZafNKQxXzpopZNvmzhK+wKACiiigAooooAKKKKACiiigAooooAKKKKACii
igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOU+KXjr/hW/gTU9djsf7Vv4
/KtdO0zzfJ+3388qQWdr5u1hF51xLDF5jDanmbmwqkjK+HvwZ0PwVr2qeLbu00/VfiJrnzaz4rWw
jguLr5YkEEf3mitkWCFEh3tgRKztLKXlfn/DOk2PxG+P/izxNq1nb3Fx8Ppk8NaCk0Su1nLcWNte
315G+AVaeO7tbfaQSi2bFXAuJEr2CgDyr4qf8TX4vfBbSrX97f2etah4hnh6bLCHSbuylmyeDtuN
TsU2glj524KVRyvqteP65q1jJ+09pdxc3lvpsHhjwlJbXct9KsSzS61qVtFYxxEnDMZNHuEKnad0
1uE3l2CeleKfFmh+BtButb8Sazp/h/RbXb5+o6rdJbW8O5gi75HIVcsyqMnksB1NAGtRXKX/AMWf
A+l69Lol74y8P2mtQ3trpsmnT6pAlwl1cqz2tuYy+4SzKrNGhG5wpKggGrfhj4h+FfG9zd2/h3xL
o+vz2kNtc3EWl38Vy0MVxH5tvI4RiVWWP50Y8OvK5HNAHQUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHlXgP/iSftBfFbRIPntNQstE
8VyvJy63VxHc6e6KRgeUIdGtWAILb3lJYhlVPVScV5V8SNH8T+D/ABtb/ELwV4e/4S27uLKDRNd8
OxXsVpcXtolz5kFzBLOfK821E98RCzQrMLpt0oMMSnV8C/HvwL8R74WOia23295JYI7PUrK40+eW
WIus0ccdxHGzvE0biRVBMZUhwppXsNJs1fEfwn8EeMNeXW9e8G+H9b1pLKTTV1HUdLguLgWsiyJJ
biR0LeUyzSqyZ2kSuCMMc8VL+yT8K9R1W31DX/Dlx43uLWGWC2TxxrF94ihtlkaNpDFFqE0yRsxi
jy6qGwuM4JB9gopiPP8AW/C3w0+G/gSR/EVr4f0nwtY2Vxp9zf8AiOSIxeReSp9pS4uLgkyfaZvL
aUyMTNIQzl2Oa81Hj/wF4u+MPwtl+FOraP4kuINT1aDXbjwgUv7Sy068s7m7uDdyQBobdrjULawk
DyFJJXSTYWBmB7X9q791+zJ8VbtPku9P8M6hqVnOvD211b27z29xG3VJYpo45EcYZHRWUgqDXqtA
BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABiis
Lx1440L4a+D9X8UeJtSh0jQdJt2ury9myVjjUdgAWZicAKoLMSAoJIFfL1544+KnjO7n1S58c3/g
WGWaX7HomgadpzeRa+YxgFy9zDdF7ryyolaJxDuGEUgGR+XEYmlhknUdrnbhcHWxjcaSvY+vq8X8
bftTeFtG1jUfDvhNG8f+LbFjFdWGjzJ9l06TdJHi9uz+7hKyR7XiXzLlQdywOAa8kt/EvxbudDl8
P6z8RrPUtHmeVZdStdDNjrkkDSMyx/a4bhYY22ERGWK2jfaCUMcmJFk0fRdP8O6Zb6dpVjbaZp9u
uyG0s4ViiiXOcKigADJPQd68jE5vThG1DV/ke5hMiqzlfEe6l97K+u3HjT4iTRXPjHxhfW7QqVg0
7wVeXug2seeSztDcGaeT+Hc8gjwq7YkYuzcpD8F9D0q/1fWdIm1C28V6jc2V+/iHU7+fVrsXVmf9
FlLXckhbYPlxkZQlc4xjv6K+ceNxE5Xc3+n3H1ccvwtOHLGmtvn9+5758FPFOv8Ajf4W+H9f8TQW
Fvq2pQtcldMDi3eFnYwSIHZmAeHy3wx3DcQQpyo6zVtXsdA0q91PU7y307TbKF7m6vLuVYoYIkUs
8juxAVVUEliQAASa474B/wDJCvhz/wBi3pv/AKSx1jfF/wD4rDxt4A+Hq/uo769/4Su+nPBFrpFz
aTokTc/vWvZtOBDKVMAusMj+WT+hx2R+WS3ZynxP8ReJ/jz4Qk0L4feEf7R8P3d7Y3T+JPEOpRWO
ia3p0N3DLc20XlC4uZormNJIMvbLBLDLJIryRtGJvoCiimIKKKKACiiigAooooAKKKKACiiigAoo
ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+Wf2h/Empa18e9F8Eai8sPhW10BPENpZm
0k8nVL9bsxs7zfcb7GFtnEJz897HKRuiiZaVbWq/DXW/i78fviJ4i0jxHaeHU0BNP8HzWN5phvku
zFbLqS3QZZomjP8AxN2i8v5h+6LEneFTD8aeEvHnwu0SfWfEGm6Xreg2c7i81LQJpvPgtcttuXtH
jJCKAnmBJZCoLMNyqcfLZng8RWqupBXR9nlGPwuHoqlN2k32HUVFa3UN9bRXFvLHcW8yCSOWJgyO
pGQwI4II5BFS18s01oz7FNNXRQ1m/u7K2jTTdNl1rV7qRbex0y3dUkupm6KCxAVQAzsx4VEdjwpr
YvPhH8WtR1U6NDpmgaLbTQLI3iWPVGvIrbMgV0S3aCN5JgmXUMFjPGX6rXI/Ejw9Z+JvBGs2d4lj
/wAekzQ3GohfKtpfKYLMWIOzbkncOQM16T8JovH3xd0GO78TfE/xX4C8cx21vPrHhHSNG0m1t9P8
1SYXhjvLS6naGQIxErTtudJlKwvHJbw/S5VhqFeDlON2mfJZzjMThqijTlaLR7x4Q8NWvgvwnovh
+ykmlstJsoLCCS4IMjRxRqiliAAWIUZwAM9hXlfwk1v/AITn9oL40eIrOTT5dF0n+yfBUc1ne/aH
murKO4vbpnAQLHsbV1g2BmYPby7tpwKq6T+xT8K9Njs7u403WNU8WQTJdSeN7vX75fEdzOtqLUu+
pRzJOFaIbTCjrDycRjjHqvgDwB4d+FngzSfCfhPSbfQ/D2lQiCzsLYHbGuSSSSSWZmJZnYlmZmZi
WJJ+tPiDoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiuf+IXjax+GvgHxL4u1OK4n03QNMudVuorRVaZ4o
ImldUDMoLFUIAJAzjJHWgDoMUVwPw6+OHhT4l3kml2F5LpviaCEz3XhrV4/supQIpVXk8pv9bCru
I/tEJkgZgQkj4rvs0k09UNprRhRRmjNMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB
RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB4pP4ms/
gh8WfHF3r0OoWnhDxV9h1xNcTTbi7t7a/SD7Hei5ngjaOzto7az02TzLny1zLcN5jKjCL2uk6ivm
S08cv+z/APHnUfhp4e0ifxH4Vv8ARI/FMelRapIbvQB5n2P7LZxXAWAWT+UjxQJMggMd3wEa3jqZ
SUFeT0Gk5OyKvx98P+G/hZ8RtF8QQxf8I/p/iNdQOqXJlkSwlv8A/RWiZwT5MUrxx3B3YUuVfJY1
g3/iLT9P0ePVHnM1jKYhFLaRtcGUysqx7FjDF9zOoG0HORXUeKfjBo3jf4u6Rpsr6hawxW8h0K3u
9KvLZLyZo91xM3nxIBLEiFFwMKkz/vHMzRxcr4k/Z60HVZo/7FvtQ8H20k6zXlroUohimKhDG6Rk
FIZFeGJhJGoJAYHJbI+PzCNGpiLt2X5n2GXYyrQw/Ja+9hdJOneMde8B4sbfxHpeq6lERpV5GPIv
4Ht5WYyLINuIoy1yFcctbKow5Uj1Cz+IXhX4ifG3whrXww8S6P4xuFhudM8VSeH7+K7trfSzDJNb
y3MkLFROl4kUdujsW8u81ApGw82SLitJ+C3g7SHuJo9Ft5L6W4a5TUJEH2q2OR5awSqA0CxKEWMR
ldgRSPmyTo/CXxvP8GPHD+D/ABbrMEvhrxZqEtz4d1FrMwiHVZ5pJbq0uZQxQPcyy+fDwoaV7qNR
Gv2aGvRyuvSinQT1PMzR1K8/btdLH0zRRRX0J4IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeaat+0b8PtH1W8sn1q4vU0+Z7bU
tS0vS7y+03S5Y2Iljvb2CJ7e0aLG6RZ5EMSkO+1SGJrurX3xP8Tax4O0S8uNJ0TRpo7XxLrFrK0N
20rwRzrp9owIeNmhnheW6GDGkqpAfOZpbTtfCfhbS/A3hXRvDeiWv2LRdHsodPsbbzGk8mCKNY40
3OSzYVVGWJJxySaADwt4s0PxzoNrrfhvWdP8QaLdbvI1HSrpLm3m2sUbZIhKthlZTg8FSOorWrxT
4K+KdL8Dazrvw1126/snxS3ibW9Q02K+ja3i1qC8vJ9UV9PeQKLryYbpY5xHkxSROGG0xu/tdABi
qmravY6BpV5qep3tvp2m2UL3N1eXcqxQwRIpZ5HdiAqqoJLEgAAk14t+1V8ZdJ8H+A/Engmw1q9t
fiT4j8N6l/wjtnpEFzJdJOYjDDO0sKkWqieWICeVo0Bydw2MR8oS+HPhpqt//aV1pCeONRDKza5e
2dx4iudy42q146zPlQFwhfKjbgAEVy1sQqNla9+x2UMM693ey8z9GNJ1ax1/SrLU9MvbfUdNvYUu
bW8tJVlhuInUMkiOpIZWUghgSCCCKw/iH8Q9K+Gugf2lqfnXEs0otbHTbNVe61C5ZWZIIEJUFyFZ
iWKoiI8kjJGjuvy5+zz+1B4Y+Fn7Pei+FdTuNc8UeMPDd7N4etvCtppyprb2Ed20VhM8DrAqwCzN
qWu32RZBDP5p2nC1DRbzx1401rxn40i0268R6jDFZW39nRMg0nT42EsVnFOSHkKTtJMbjEbO7Kds
YjjRMcVjKeGhd7vZG2FwNTEzstl1NPwn8I9KHwf8F+DPGWjaP4m/sPS7K1khvLVLu2+0Q26xGSMS
p/vgMVBwx6ZIpmp/BuxsdNjh8J6l4g8KQ2z+ZDo2g+J9T0nSyOd0QtrWdI4Q5YsXiQHzDvYPl1eT
R/Fd54UaS01tJLjREcC21jzvMa3h2ji73YbCsSBKN/yjdKV2s7a1/wDEfR11NtG0m6t9b8QfvFGn
WkwbymRgrmd1DCBVLDJbnghVdsKflo1q0Zc8JefkfRTo02uScTzLwr4C+FfjDWNR0vWPhxoEXjKy
CTanb65Y21/eyvIiu073Tb2uSxfLSuxdmOXwWGfof9juzg0XTfidoWnwR2GiaR4sFtp2m2yCO2so
n0jTZ3jhjXCxq0000hVQAXldjyxJ8S8a+DNP0L4cXV5qd1f6l4js0nuINYsE2ancX8y+Ui26xuhe
SRmjhjt92GxDHzha+p/gN8K7r4W+Eboavff2j4o165TWNemhYG1W/NrBBJHajYhFui26JHvBcqoL
szFifo8DX+sXmumh4OOo/V7QfXU9Jooor1jyQooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKqatq1joGlXmp6
neW+nabZQvc3V5dyrFDBEilnkd2ICqqgksSAACTVuvH/AIn6ZD8WPih4c8ASPcNoWjwnxJ4nt4rm
SKG9t5UuLSy064jVkE8FxJ9qmdCXjxpvlyxlbhDQB6V4W8U6X410G21jR7r7XYXG4KzRtE6OjlJI
pI3AeKVHV0eNwro6MrKrKQPl/W7mPQv2ufGR8WXaW+t+IrK0tPB0NzZhBcaTaW6S3KQXAG13F3c3
TPCT5wVVcgxeWR7DqXwFePxVquteFfiH4w8BR6ptku9H0OSxn05p/Mkke4jt721uFgllaVmlMPli
VvncM5Zjnaj+yl4Q1TV9BurnV/F97Y6TePqC6Xqvia81SCa5NtPbRzb7ySaaB4kuZmRreSE7yjNv
McezmxFH29J072ubUanspqdilRVLW4rn4e6pBpXiK8R4LmQQ6ZrU22JL9icLC+MKt0P7gAEg+eMD
EkcN2vhK1GdCXJNH1FOpGrHmiFcX4m+H8+r6ve31ncaYF1C0FpdxatpjXLqVkilhltrmKaG5tnje
FZF8uUKsgWVVWUeYe0ooo1Z0Z80HZhUhGpG0tjhfgj+1Ze6PPq3h34u+KvB16dGMdvP4z0LUIktL
Wb54/s2qoWH2S4ZoXIlKxwSOxiCxOI0l+otJ1ax1/SrPU9MvLfUdNvYUubW8tJVlhnidQySI6khl
ZSCGBIIIIr5L+G37J/g/49fA/S/G/iZrvT/HnxA0Nr7U/E3h2T7Hc/Y9RghP2Ao/mRSxRWqQWy+a
jYMbTqI5pGevr7HFfoFNT5Vz7nyk+W/ui0UUVoQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
BRRRQAUUUUAFFFFABRXlWpfGXVNZ8Varpfw98P6f47tPD21deu4tbW38qfzJFewtSIpIpb6MQsZI
J5bYR+dbbpAJSyH/AA0Bb6J8/jXwR4w+H9o3KX+rWMN9Zqg/1ks9xp011FaRRgqzSXTQptJYMQkh
QA9VooooAKKKKACiiigAorJ8U+KdL8F6DdaxrF19ksLfaGZY2ld3dgkcUcaAvLK7siJGgZ3d1VVZ
mAPmsvhXxr8YdVt77xFfax8PPBKQyxN4NsLpINXvpd0ZS4utRs52Nuqsr7ILSXLAq0szB3tkALf7
Pf8AxKtN8d+GJfmv9B8Z6x9pkTmJ/t9wdXh2E8nbb6nAjZAxIkgG5Qrt6rWT4W8J6H4G0G10Tw3o
2n+H9Ftd3kadpVqltbw7mLtsjQBVyzMxwOSxPU1rUAZPinwnofjnQbrRPEmjaf4g0W62+fp2q2qX
NvNtYOu+NwVbDKrDI4Kg9RXjGifHvwp8CrTV/BvxT8cWOka/ojXN9YDV78S3OpaNJc3B09rcsTNe
SpDGLZ1Ia4aa3YsJPNilm99rI8X+Grbxp4T1rw/eyTRWerWU9hPJbkCRY5Y2RipIIDAMcZBGexpM
EfC+qz+L9QvvGXxc1HRoBJrVst+tjqWqXMFzY6Zbxu1pZ/ZWhdIJVjZnlRXKm4mnIbaVC2bbwBpV
lbRW9vNq8EESCOOKLWr1VRQMBQBLgADjFamr69J8QPhToP8Aa+lvZXWpalaWmo2l9bmOK3mgugZ4
5UYkqrPbvEqtkl5I1IBY4qeJNCfwVo11quk6jdNHbIXbTNQme7W6f+GON3YypK7bI1+Zly3EbM2a
+HpYitWlJ1XaXM19x9nGnThFKKvGxhfDC31vSNW1zS9cktp5xb2F358EzzPIxhNu7O7qpJY2gbGO
N5yTXX6/4gg8PWscssF5eTTO0VvaWFs9xPPIEZ9iIoPO1GOTgDHJFZlxol1Ncpq1rOmma61vHBMS
XuLZ0BY7Gjym8BnYq42NnvtLKbvw1bXdX+JUt1eWFqLDSNPuNPl1G0uCVkuZWtJQnlMAyHy1D8F1
G8DeSDRVp+1qOb26nbSn7Omqcd+hU0O31D4naBDeJdWOn+HdRhLKbUreXM0bAgo4kTyomGNroVmB
y65UruPceGfDOm+DtDttI0i2+yadbbvKh8xn27mLHliSfmYnk965Xwvrsug+NNT8KahE1p597f3t
hLewvbvdB5vPZYcb4plUTE7hIrjGGhXaWPfVwV3KEuTaJvSSkuZ6y2KvwP8ACVz8ddX0Lx/dt9h8
B6PqF3JpujzI4utUvraeW1Et9BLCv2dbeaGSWKMM7tJ5EreS8Plt9VV87fsmatPo+tfEnwFcG5eH
S9UTxDpjSrF5aWWpmWR0VlwxYX0GpMQ4yFkjAYjAX6Jr73CQpwox9ktLHweLnUnWl7R6hRRRXWcg
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABRRRQAUUUUAFfP8Xhm8/ZZ1nVtb0ay8QeMPAvibWbzVNc07S9Kt7vUdM1G9vI3
W7ijtoYp7i2AknWbcbmdVjtRGuxJMfQFFAGT4W8U6X400G11jR7r7XYXG4KzRtE6OjFJIpI3AeKV
HV0eNwro6MrKrKQNavCvFuh2Pw1/aj8KeObbR7ix03xjpl14b8RaxZzLHaPqCyWr6Q98hkUFiqXt
rFNsZt9xDDn95GK91oAoa/oVj4o0LUtG1OD7Tpuo20lpdQb2TzIpFKOu5SCMqSMggjsa8Lsvgz8U
dJ0qTT7bxT4Zuxp1hFDZXuo6fdSz6lMqNlrjE48jkRqWUzFjvfC5EY+g8UVhVoU61vaK9jSFWdP4
HY+XfiD4W1L4LaF4A1xLLXPFfiPUruHRNetrLVt9nNcT27N56C8nit7cm7iiij5iUm6ESoXkjUc9
8T4vin4t+Gni3Q9F+DnjKx1jU9Iu7Kyun1XQ41hnkhdI3LrqRZQGYHKgkYyATX1xq2k2Ov6VeaZq
dlb6jpt7C9tdWd3EssM8TqVeN0YEMrKSCpBBBINeP28P/Ci/iz4H8MaJZ6gfAPjH7dYLavdfaLfR
tTgg+1W0dsksm+3tpLW3vU8mINDGba3EccO+Qyc88DQnNTcdUbRxVWMeVM9j0/T7XSbC2sbK2hs7
K2iWGC2t4wkcUagBUVRwqgAAAcACrFFFd5yhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAeVfDT/AIoD4j+Jfhyn7nw/HZW2u+GYH/dpbWrl4LrT7ZTkvFbTRRy8HbCm
p28KpHHHCG9Vryr9oX/ik/CsPxNtfkv/AAD5us3GzhrrShGf7StDjBfdbq0scZZUN1bWbOdsdela
Tq1jr+lWep6ZeW+o6bewpc2t5aSrLDPE6hkkR1JDKykEMCQQQRQB5V8GIr74ZeIbz4S31xb3Wk6P
pkN/4Vulga2Y6WbieFdPAZ3Nw1hHHZo9wGBZbu38xFdt8vsFcp468C/8JV9i1LTb3+w/Felb20vW
Ui83yd+3zIJo9y+dbS7EEkJZd2xHRo5YoZY+K0z42+LbK2ey8UfB/wAUWXidpporOx8PzW2qWOpL
HIwMkN8ZIY4F8oJJi+Fozb9kayOpWgD2CivKv+FyeLv+iE/ED/wO8Pf/AC1o/wCFifE/Xv8AkBfC
P+yPK/13/CdeJbWw8zP3fI/s9dQ34w27zPKxlNu/LbAD1WvKviZ8Y7iz1KfwV8O49P8AE3xNm3QL
aXDTPp2hubd5459Xlt0drWJ1X92jBXnZlVMLvkjqan4Z+NvjG2QS+N/C/wAOreeaFp7Tw/osmr31
tEkimRIdQupI4WaRFYbnsMR+bja5QO3oHgnwHo3w90qWw0WC4VJ5jc3FzfXs97d3UpVV8ye5nd5Z
mCJHGGkdiqRxoMKigAHy5rOj67ovxdsrrx1rK3vxIsp7i78KaxcW6mxFr5eJksoQiLEjCaSOWBpJ
LkoEL3EgjgmX6S+GnxLsviNpc7LBJpusWL+TqGlzhg8D7mUOhZVMkDlHMcoADgHhWV1Wz8R/hxov
xT8LzaHrkMhhLrPb3Vs/l3NlcL/q7iCTqkiE5B9yCCpIPzrNYeMvhrqVsuvJOviKxmkg0bxHpFg9
1FrMe1WZGtYdzgsoBltiBnynlib9yJIuSXPSlzLVP8DdctSNtmj6yorI8J6rqWt+HLC91jRZvDuq
TRg3Olz3EU7W8gOCokjYq65GQwwSCMhTlRr11mAh60tfOXx5+KWqN40j8O6DrOqaVpunQSwa3Jp0
Ue+4uphbG2tYmKtP5hjlYgwBWzNGEcuML0f7NvgrWNFXxN4g12LXILrVZLa2s49dv5LqZrGGMvHI
RLI8kTNLc3OY3KkBVzGjbt2KqqU3BdPuNXTcYKb6nSfEb4CeE/iTJJdXUFxo+sSTQTvq2jSi3nle
F42iMwwY59vlqFEyPtBO3aTmvmr4h+F/EXh3xZa+FNbmtL+2W7OqxXdrIpaXT42YWwuQArJcmZI5
DtRInEcgQnY6D7bryj4l/s76N8RfECa3/a2r6TqEklqL4Wt45jvLaGVW+zkFt0KlfOAMDRfNMzMH
PBxr4aNWOiV+5vh8Q6MtW7djwOtj4QQM+m+INRBHkahrEzxKfvKIUjtH3duZLZyME/KVJwSQPTfE
37LGjz2Snwnrmq+F79XVi11cy6rbzgMpKyR3EjOBtDgeVJEfnyS21QPO9AhuvhFv8G+MHstPl0+N
5bDWjKsNvrVsA7yXKh23CZQrNcKSdrNv3FZFNeFiMHUowb3PpcJjqVaok9B/ifwc9ve3/iTw/GY9
eeBfPs0Eax6r5QPlxyswyrYZlWQMuNylw6oEqPw14gt/FOi2+pWsdxBHLuVoLuIxTQyIxSSN0PRl
dWUj1U4JHNF38U7K6JTw7ZXHiYngXloyJYqx+6TOxAdc5DGESldrAruwpwPhpPeeV4js70QLJa6z
O4FvuIX7QqXbLuON217l0DYXIUHaCSK8atBunzS3X5HqqpD2loPf8zV1DXF+H/j7wZ47kk+zafpd
1Jput3AwdmlXahJGbd8iRR3MdhcyykqUhtZTuxuR/rzPNfKHiHQLDxXoGp6LqkH2rTNStpbO6g3s
nmQyIUddykEZUkZBBGeCK9c/Zj8XXni34MaEurXcl94g0XzdB1W5nl3zXF1ZyNbvcSZ5UziNbgBu
ds6HJBBP0GTV+em6T6HzWcUOSoqq6nqlFFFfRHzwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHKfFX4
Z6H8ZPhx4j8E+JIPtGi65ZSWU+1I2eLcPllj3qyiWNtsiMVO10VsZFcVpH7QmneFdKs7H4oi48He
I7OFIta1S40e9t/DkdwFAMkWpuhtVglbBiEk4k/exxuqzbox7BVTVtJsdf0q80zU7K31HTb2F7a6
s7uJZYZ4nUq8bowIZWUkFSCCCQaALdFeVfDP/ij/AIqeL/h3pv7vwrpGjaTrOl2b8/2f9rn1GKS0
hP8ADbJ9gRo4znyvNdEIiWGKL1WgArJ8U+E9D8c6DdaJ4k0bT/EGi3W3z9O1W1S5t5trB13xuCrY
ZVYZHBUHqK1qKAPFP2eNeuPDl54r+GHiTVPM8SeH9a1C40uPUdamv7/UdDmmW5tLsG5/fvFELtbJ
pCZFElo6+YSMD2uuf8beCbHxzpUVrdS3FjeWkwu9O1WxZUu9OulVlWeBmVgGCu6lWVkkR5I5FeOR
0blPBPjbWdC8TS+CfG0VwLwTGHw/4ouFgjh8SxLAszfLE2IruNfMEkRWMSiCWeBBGJI7cA9Loooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvKv2b/wDiTeBNQ8GyfuZv
BetX3h6Oy+99jsI5TLpUO/kSY0yfTzu3M3zYkPmiQD1WvKvg3/yUX47f9jnbf+o9o1AHquaK4T4i
/GXQfhfrOiafrcGoldViuZlubG1NwkCQmIMXRCZDlpo1GxH6knaoJHPeEP2nfCXivWLXR5bHX9E1
m8uxZ2tjfaVLKZ2KB9yy2/mw7du4klxtEblgoXNTzxvy31KUJNc1tD1yiiiqJCiiigAooooAM15v
8a/iRJ4M0VNJ0qRo/FGswTrp8wRSloqBFkum3AqwjMseI8EuzKvC73T0cnAr4x0rxFc+Oo/+Et1B
mkvtcRbsCRtxtrdsvBaqcAbIkfbwFDNvkIDSMTw4uv7Cndbs7MLQ9vOz2RHcXMng2Kz1/TgDfaDc
NqsZuZwDOwD/AGhZJZCQGmjknRpn3EGYyHLDNfXnhDxLa+NPCei+ILKOaKy1aygv4I7gASLHLGrq
GAJAYBhnBIz3NfMPgnS28SfFzwlpM1oL3TUM2q3KJP5TxNatE8Ex+U741naEFFZWLPGfmjWVW+tc
1jl6l7Lmk92a45x9pyxWwmeKg0/ULXVrC2vbK5hvLK5jWaC5t5A8csbAFXVhwykEEEcEGvHPjV40
t/EmqSfD7T7mGVUjjuvEBhky8ERdWhtHXpi4Cybwd37lGVlAnRxz/wAPPjfoXwws9Q8F61LezahZ
SSXOh6ZZWc1xNNp7hWRd6jyokSdprdA7RqkcUQOFG8+g5xTsziVOTV0j6Lrxf9q2C01H4eaTpUse
3Ub/AF2yXTrwRI5s5oWa5eVS4O1vIt50BCnJkCkbWYjG1b9ofxTqZlTQ/C9josEmPJvdduzPPFjG
7zLSAbDkhgNtzwCrHkGOvP8AU4L7xLc29x4l1m/8UT2zrJb/ANpGMQwOpJV0giRIRIpLYl2eZhiN
23AHnYjHUYxcYu7O2hg6spKTVkWaxrpZvD2sHWLWKSazlQrqVpbqWeQjaEuFUZ3OiqVKqAzoR94x
xodmsPxx4h/4RTwfrOrh4Els7SSWL7ScRtKFPlqeRnc21cAgnOBya+WiuZ27n0nNye92MNfEQ+J+
rXy2d9IPClgxsbqxe1aGS8uhtaRZd4DiJAVXZhS7GQPlMBtr4X+LE/Z2+IF/qPkQ2vwz1+K3i1O1
sYFjGk6gsixrqUhMqRpbGBttw4UsgtoH+4sjLV0DS5oGk1K/mmn1W9iiWczKieUq7mWFVQlQqtJJ
jLO3zcu+Aa2K7aNX6tNOnsRVo/WabVTdn17pOrWOv6VZ6npl5b6jpt7Clza3lpKssM8TqGSRHUkM
rKQQwJBBBFW6+Cvg98TPEX7Oo1ews9D1PXvD/wBpk1G68NRyRAxRvcN513oyJklQMvJYvglpUKOs
jN9p+2PA3jjQviT4T03xL4Z1KHV9D1GPzba7hyAwBKsrKwDI6sGVkYBkZWVgGUgfWU6kaqvE+Sq0
pUnaRu0UUVqZBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA
BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafEfw14i0vxnofjvwbptvq2pWsMum65p
El2LVtT0wgyp5Tbdkl3DMo8gTukQW6vFLx+d5idX4A8bWPxF8GaT4j0+K4tbe/hEjWd6qpc2coJW
W2uEVmEc8MivFJHklJI3U8qa3+hr5I+MF3faf8ePGvhTT7r7H4Z1vRtK8Qa1Yqu5r+9ka6ssmQnK
RNb6dbJJEMrJ5SfdDTifCvWjh6bqS2R0UKMsRUVKG7PpLw18TvB/jS+ksvD/AIs0PXbyOMzPbaZq
MNxIsYIBcqjEhcsoz0yR6101fF2iy3Hg3xR4e8Q6HbRtcaKssCacLp7S3ubaSIo0DFFYBQwhkAKN
80CgAZ3D6J+Ffxw0f4m31/o5t5tF8T6dGktzpN0ysZImAHn27j/XQbyU34VgQA6IWAPJhMdTxa00
fY6sZgKmDlrrHuekVk+KfC2l+NNButH1i1+12FxtLKsjROjoweOWORCHilR1R0kQq6OisrKygjWz
iqGheINL8UaVBqejalaatps+7yryxnWaGTaxVtrqSDhgQcHqCO1ekeacH4a8fzeEvGem/Drxrq1v
P4h1GGefw9qshjhbxBbwBTMGiUKEu4VdDKiKI5FYTRBV82G29Lryz9o2bTD8ONVj/t3TPD3jC0sL
3V/DF/fTFJbS/traR1uY1QNI6xqx81ERw8LyRujpIyN0Pwe+LGhfHH4a6H438NG7GkatG7RxX0Bg
uIJEkaKWGRD0eORHRsEqShKsykEgHZUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QAUUUUAFeVeC/wDiVftHfFDSrX91YXujaD4hnh677+ZtQspZsnkbrfTLFNoIUeTuADO5b1WvKvDn
/J0/xD/7Ezwz/wCl2vUAYH7Wf/IA8Df9jJ/7jr6vLfhK1pF8fPBT39tc3CSQ6hDYvFJiOC9MAdXk
XeNw+zx3iA4bBccDII9U/a+RLD4baX4huJUi07w/rMN7eEhi/lyRTWgKAA5Ie6jYjj5VbGSAp870
j4PfEmDWvCmsDw/FYRwa3ZTOiapF9vs4VuF+0PIq/u9jQCZCIppGZZQpTDOF8yrTm8TGcVoj1KVS
msLKnJ2bZ9bUUUV6Z5YUUUUAFFFFAHhP7Qnj+bUJD4C0n7PPa3kMkfiS5DnfbW7xjbaqNpHmTK/z
c7kiyflaWJx4/rOq2Pg3w89ybaQWdoiRQ2ljBudiSEjijRe5YqoHA5HQV7D+0F4HXSZP+E60+NY4
Y1EWuQRIczRlo0jvD/CDAoIdjtzCSzORBGhxPh/+z7b+PLm61n4geHLSfR5tNez0vTL5SblFmYGa
eZGQG3k2xQ+VscSIHk37HO1PFxFCriK6jL4T16FanQoNr4ip+zl4v0zwv4h1m08YXVlonijxHcR/
2UJp1RLizjIWG0BLFTcpJPIzKM7zcDYzqhEfr3xh+JjfDnw4wsLObUfE2oxzw6JZ/Z2aC4u1jLqk
spKRooALkNIjMkcmzcwxXzv438AzWt7N4X8RtcJe28zXuk6tbuIp5I45P3F3BKoAWeMNGJNoXbIf
uiOSMvc0X4j6h8dr+w1XWraOwm8IzT6dJZ2NxJ9nl1Qbo7i4Ck/PH5LRiLeNyedcA7vlc39Z+r0Z
KSs4/wBIilh3iq8bPSW/6mJNa6nY/FrQbTE2oSzW99qd/wCJNRuUNxeq7IktuY0jC5VzYFWwoWOF
Y14UqYfGOjNp3xS8O6nZSXFu2pRXEOoyS3bmCeOKMGGBYmDKJNzNIuwp8qXBIbc2LvirU7Dw18Q7
PUNVgGoS3dktvolvEizXCXKGYziNTzH5kcsQMgwmIsSMgCborrwuniOT7d4gHn6kf9U1pPJGLBf+
edvIpV1yOHkG1pO4CBY08yWJhCgud6yPXnQbrtQVkrGjBqdndXt1Zw3cE13a7PtFvHIrSQ7hld6g
5XI5GetWa5bxR4a8DWmgQWmvWGh2OkpvgtxdpFBHEZMlhExxsZsE5Ug5Ge2a83vrTSotV1HUL7wj
fal4PsJVniu9VjmC2CmJI3jt7KUFjCu4yMdqKApwD5MefNpqNTujolzRPS9V8d2sH2u20i3m8Qap
DvRbWyUmLzlzmKS4I8qJhjJV2DAYwpJUGHTfDzHUX1bU5ZLnUpHMiwi4ke1tPkCBYY2O0ELkGTaG
YvIflD7Bp6b9k/s61/s/yPsHlJ9n+zY8ry8DbsxxtxjGOMVZrS6jpE0jC+stQoorKg1+HV7+TTdD
261qqOYngtWLR2z5I/0iVQywAYY/N8x2MEV2G0kYuT0RpKSjq2Gv+GrLxJb+VdiRco8LPC2xmicY
liJ7o68EeysMMqssttqvin4e6zL4i8EX/lTvILnU/Dk6obLXikRRUkYjdbzbQqLcxkH5IhKs6RJG
MDxx4G0f4d/2X428fx+KfEegGGK28UR+HNe1K1j0VfndtSghtZ4jJBGzCOVNjyeUI5QQ0Mon+ktA
/ZW+Cd3pUF3/AMIRofjO3ukW4t9U8TE+IZmiZQVEVzeNM4iI+ZUVtmXZgMuxPt4bDTVpxmeHisVD
WEoXudR8Efjf4R/aD+H1l4w8Gakl/pk7NDNCzL59lcLjzLeZVZgsi5HQlWDK6MyOrN3tFFe6eAFF
FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAFFFFABRRRQAV8hfHnT/FWm/H7XfE//AAgPiXUPC02haVo8OraTbRX4lmgm
v55WFtBI9yEC3aruMIy0bgdYzJ9e0VhXoxxFN057M6MPXlhqiqw3R8B6h8XfCmgzrB4g1GbwhOy7
0h8WWNxoruuSAyreRxFgSGAIzna2Puti7bt4X+JVhZapYXljrcFtMJLTVdLuwzW8qOrboriJtyMG
RclWB4Ffd2K4Dxn+z98MviHqlzqniTwB4b1jWbiMRvq91pcLXwAXapW52+ajKMbWVgVwCpBArw3k
0YvmpTaf9eh7yzuUly1aaa/r1PmGTQ2vtOWx1bWde8RWhRVmt9b1m6vILgjBDSQySGJjuAYfJgMA
QAQMZOv2WieCLGXxRbJH4c1DSUSeHVtLhgiu4hGAFjjZ1KkMoEWxsqytsIwcV71qX7GvhD922geJ
fG3hWZc75bbxDNqXmdMZTUftSDA3fdUfeyckKV8/+I/7LXxH0DRJ7/wZ4xg8cyabc2mpW/h7xLYQ
215qBt545mgW/gMUMTvsZVZ7YrygYqN0hxeXYtVFN1Lq/d3Nv7SwbpOCp2duysK+pfEXxjL8Prbx
voGjajJYT/a7zXrORI5olFnzbzwHKsxu/Kk3wuULW8TeWm1SOff9nuHwx8RNT8b+DtX1nSdT1GCK
G50601260+3Z4EVLSRTHujItwG2xXMFzCUPleUqYC+k+C/Gmh/ETwrpviTw3qUGr6JqMQmtby3J2
uuSCCDgqwIKsrAMrKVYAgitqvTdWalc8FU42POtW8U/FX4X+Eb7xHP8AE+68RX8Mbf8AEn1zQLHU
IpWd/wBzbWqWaafLLdu5igjJkCys5AhDSII/rDSZb6bSrKTU7a3tNSeFGure0uGnhilKjeiSMiF1
DZAYohIAJVc4HzHp1jqPxF/aP8L+HI4APDHhGzXxXrb3EKSRXdxKZ7fS7YAyg/LLFc3ZYxOEksrY
gqxBH1N3rvouTjeRy1Ek7IWiiitzMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAryrT
f+JR+1P4h+1/uv8AhIPBmmf2Z/F9o/s++v8A7b0zt8v+1bD72N3n/Lu2Pt9VrxT4feI7f4oftHfE
DWLRftui+B7KDwhY6ik8LRLqUrfa9XiQRuWbCro6N5oGySCRUAPm7gD1zXdA0zxRpU+mazp1pq2m
z7fNs76BZoZNrBl3IwIOGAIyOCAe1X6KKACiiigAooooAKKKKAE6UtFcp8QPid4d+Genwz63qEMN
1dHy7HTVlQXV/KWVBHAjMNzFpEBOQq7gWZVyQm1FXew0nJ2Ryf7S2nabb/C/VPFF1Nb2GoeHIWvr
S8lYIWwyl7TcSBi4CiHB3De0bhWeNMfLXgHwtqMPg22l0jxXrOj6jJbmG9jaRL2Bb9HkFw+ydXwf
PMm7y2VXxkHo1d54u8a3Pxd8cXk2rWl5p2naJLH/AGZ4f1FIDsLRROL51RpA0vmCeNJFcqqqygKx
kzwmtWdtB4um0yQXl/YXluLuPQNMfd5lwZHWR5o1IIikyo+ci3LeaZcMwLeDjWq8eai7+mtz3MFF
0JfvNPwsLB4h0TR/FGq3v2i+8ZeMZvKt7r+zbYzfZVLlRboR+6tow6uxSSQNwS7OQDWznxXrdzJ5
k1r4b0xkUotsBc3+csTuZh5MZxsBULKPv4b7rVPpei+JbKwih0jwpo+kaeufKsrrUvs8keSScxwQ
Sxrk5Pyu2QQTgkgS23w+8Q+Irm5k8R60+k2XmRCHS/D1xgMiEMxluWiWXLtxiPy8KMZJYkeOsLWq
S2t5vX8D1niKMFq7+S/zME6B4T+Gtr/bV+vm3sfL6xfh7y+lYRbWO/DP/q0YkJhQoc4Cg0Ws/ibx
db2t59ofwhYu5cWi26TXzx4YIXaQMkROVYx7HI2435JALPwlo9n8Rtcu7S2lmbTo7awSfUbiS7ni
m2PNIY5JWdlRo7mJcAjJV+O7Z/hSy8TeGLxfDWn2M/jOwsokk8+Ka3triwtmDJbxFH2JLzC/zhwe
Gyowu6lQtNxb5pLuSsSpW0tHyGTx6X4b1I6et9q+i6Z4f0gXEElrbXmoQIZZGw1wEDDy40tnXbIR
lZm2NGYww2/Cut654wQxaR4eur1VRHj1q7ifT9NuUYFkkQyqZsMo6LHIFYgbipEhxfAkl3qUmta1
aXGreE9eur5476FrZIpkRVQQRSRTRup/ciGTOCQ0j7WAdlPqHwn1HXNR1LxKNR1u41ixs5YLSL7Z
FBHKk/l+bKR5MaAoUmtwM5O5X4AwT1p05e417yMrVIvnT91klh8I47llk8R6vc64Dy9hEgtbFiDx
mNSZHUrw0csro25srjaFu+APG/gnWEi0jwfc2TWCRPPZnTbYx2F3GHAmezmCiG4WOSRVlMDOI3cL
JtZgC3RvANr8YPjrr2ieJNR1Ofwv4e0TSNSTw7bXPkWWoS3U2qRTLeKoDXERW2hBhdjE20hkYMwP
o3xz8AeIdX1/wn4z8KWNvrGraDHe2N3pNzdi3N1p1yIpJhbMV2m7E1naeWJXjiKmVXdNyyJ6UMLz
U+b7jzamKUanL97OS1PWNWvNaTw74T0u317xO0Iu3tru7a0tLK3JYCa6nWOUxK7I6RqsbvI6ttXZ
HNJF6R8CvhPc/B3wbPo13r0muSz3j3SpEksNjYJsSNLWxt5ZpmtrZEiUiESMqs0mwIhWNOa/Zj+E
GteAvD154r8b3txf/EzxdDa3GvK0gFtpojV2h021iR3RIbczSrvDM0rvJIzHeAvtJ6130KKpR8zz
q9Z1peQtFFFdJzBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF
FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV4ppH7Sf8Aws68u7X4
TeEtQ8dWkOUXxZeSf2X4aeRZpopI0vXV5bjabeQb7S3uI9zRAuoYsoBynx3/AGOb/wCIdprC/Dj4
m6v8Hp9cvxqGrR6PZQzW91OeZZ0wYp4ZpGSEu0U6o2xy0bPLI7P1D9jyHwlceGvEPgDXrtvGOiWc
9hd3vjG7m1STxBayLCzW9xdOxltyZbaORHhBihaW4ZbZ/NK11F98a/HHgLxV4YtPiJ8PtP0rw3r9
6mkxeIvCuuT6zFYX8siR2kV5E9lbvFFO7+Wsy71WQor7BIGr2upcU+g7s80+BHws1D4Y6Dr02t6r
/aviLxLq8mu6mYtpt7WRoYYI7WAiNC8UMFvBEJHUPIUaRghfYvpeKKKaVtBXuFFFFMAooooAKKKK
ACiiigAooooAKKKKACuJ8ffGjwV8LNV0mw8XeILfw++pw3FzBc3yOlpHFA0KyST3O3yrdQ9xbxhp
XQM80aLuZgDrfEPxtY/DXwB4m8XanFcT6b4f0y51W6itFVpnigiaV1QMygsVQgAkDOMkda80+CPw
88T3XjvxP8V/iNo+n6N4z16ystL0/RrS8i1D+wdKhiEptPtQt4maV7uW5klwXQ7YArMIwaAPYNJ1
ax1/SrPU9MvLfUdNvYUubW8tJVlhnidQySI6khlZSCGBIIIIq3Xmmrfs/eFX1W81vwutx8OvE95M
9zda74QEVpNeSuxLyXcLRvb3rHdJhrqKYoZZGj2O2+uV+IXhDxB8NfAHiXxfqfxx+JE+m+H9MudV
uorTT/DjTPFBE0rqgbS1BYqhABIGcZI60Ae60Vk+E/7c/wCEV0b/AISf+z/+Ek+xQ/2p/ZPmfY/t
Xlr53keZ8/lb923d823Gec1rUAeFfEf4j+NfHHxQ1D4VfCnUNH0TUtL0xL7xP4x1KJNQGhi5SZbK
3gsllQyXbtGZv322KOJFZhL5qLXqvgDwVY/DnwbpPhzT5bi6gsIRG15esr3N5KSWlubh1VRJPNIz
yySYBeSR2PLGvNP2NfDlvo/7OPgzWN32rWvF9kni/XNReCGKW+1LUVF3cSuIkRThpdi8fLHHGuSF
Fe10AFFFFABRRRQAUUUUAFFFFAHI/ET4i2ngHT4f3P8AaGs3m5bDTEk2NOy43OzYPlxJuUvIQcbl
ADO6I/gDy6xrfi3WPEWsy2Qn1GOCNLKyjkK2qx+ZhPNkdi4w4HyrEmQziNWlfPUfHyztvBXjSw8T
SyTR6bq8DW2pXVwrtBZNDt+zu05HlwRN5kiFGcBpHjMabnnY8RqHi60tb+XTrKG41rVoseZp+mqr
yRZAYeazFY4crll81k3AHbuPFfBZ5XxlWt9UhH3X26n22S0MLTpfWpy95fgYHxGfSdQvbKwis59U
8ZW0Mt7pNtp0giuYuNhkMp+SOMkgHzco+3G2QgKdXw3awfDjRptS8Ya/p6atqUym6vriRLe3Rtp2
W0JfB8tAHKhiSSZHOCxFV9LmX4T/AA2tP7St9PGvuEgaK1nx/a2osAiEyMilpJiqlnZSVyxYkKWq
hH4Nkt4rO+S8iufFNvcWl22tahC05kkguIrjbs8wFIWkiz5KOqLuO0Cu/C0YZfTVOUm7/wBaHFiq
8sbUdSMUrf1qek6Tpvivxdu/4R/wvcJFHnfd+JfO0iHcMZRUeFp2bDKQfJ8sjcPM3Ltrt9L/AGeo
LpQ/ijxLqutSEHdaaZI2lWiPn5XTyW+0Z28FXndSWY7R8oTU+DHxMvvHMOr6bri2ia/pTxtK1jE8
cNxbyhjFMqMz7PmSeMoXY5gLfKHUV6RnivpqUKbSlHW589UqVLuMtD418Q+HdI8O/Fjx5baPpGna
Na2t3a2cVvplnHaxiIWUEwBWNVDN5lxMdxBYhgM4VQLfwltpbnxR411OSVNiTWmlRQpGQQsUHn72
bcckteMMADAQdc13nxO+B2tx+Mr7XPBGjaT/AGdfxte6pZNfGCe5vc8yQR+T5Yd0UBt8qq7lSfLI
keTwCH4k/wDCB+Ibyazu9RQ3XiGDS9V0m60mS4giuwYYJ4o5oU5uEjiyFWWRW2narblI8epRnDES
m1oz0qNWDpxV9UegeK/h3ryeNbzXPDn9nXFtqcEYvrLUbuaDbcRgIs0bKkq/NHtRl2L/AKpDk5Nc
PoN54jtvHOvf25bf8IToa+HrW61q6ubuHzIUjluSBHcRy4ijYGfdKQGCxkjymKuPS9W+K0mmWE14
/hnUrSxGPL1LVbm0srUBiFR5S83mxKSVyDFvGcbC3y1yfw78IXH7R3xR8SW17dwxeH9BvrWLXhp1
1JqFlc7BufRo3miCAyPGrXyKFHlC3iKM08kkZCkqsrx37m9Wt7OFm9Ox6r+yD4Lm/szWfiVcW2ra
anjO107+y9O1m/e6uodMhjklgeffJLsmeW8um2LIVERgBVJBKD9D0mcUte9GPKkkeBKTk22FFFFU
SFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXzV8O1+MXx48IWPxJs/iR/wAK9sNa8nUP
DnhdfDVndW66b9rkkhfUi00ss8tzZtb7hb3Ft5RY4BYGu1/aq8W6toHwjvNC8MG4HjbxpMvhTw69
tJcRNBe3aOpujLBHI8S20Kz3bPgYW2b5lJBr1XSdJsdA0qz0zTLK307TbKFLa1s7SJYoYIkUKkaI
oAVVUABQAAAAKAPmDxZ8Zbz9qD4E6z4D8I6T9h+IWved4X8VaK01vqH/AAh8ZujY6lPdulxGh2IL
hrdQ4kuNqukTIs3l/T+k6TY6BpVnpmmWVvp2m2UKW1rZ2kSxQwRIoVI0RQAqqoACgAAAAVbooA8K
/aau/FupSeEdF0bwfrGo+GbbxBpWv+IfEFjBbXYtrKxuvthigtvtcdzLOZrW2BEcMv7qSTy1llCx
nV0zxl49+MNs9z4X0q4+G/h6OaYQ6v4s09xqd9JDIyoF0xwpitJWCEyTSR3DRiVFhhaSK5T2CigD
ifhJ8ULH4reGbu/txb2+paXqd5oesWFvdLciy1C0naGeLeApKlk8yMukbNFJE5RN+0dtXlX7Pf8A
xKtN8d+GJfmv9B8Z6x9pkTmJ/t9wdXh2E8nbb6nAjZAxIkgG5Qrt6rQAUUUUAFFFFABRRRQAUUUU
AFFFFABRRWT4p8WaH4G0G61vxJrOn+H9Ftdvn6jqt0ltbw7mCLvkchVyzKoyeSwHU0AcV+0Jqcx+
Gmo+F9MS3n8T+M4bnw5oVve20c9s97NaTuGuElVozBHFFNNIHVt0cLqqSuyRPvtNa/CD4UmW9vtW
16y8L6Lunvr+YXGoXsdtBlpJHO0STOEJLHaGZieM1xfgGLxF8Rfi5eePda8N3Hhbw9o+mS6L4Wiv
pAt9qUF29tcXd5c2+CbdS1paJDC5WZdtwZo1Z0SPR/aXt7+++CHiay0+9OmtfLBZXV95KyrbWc1x
FFdyurcBEgeZmYkbVBbcuNwTdlca1ZkWf7UGjNcqNQ8KeKNItDnfezW1tcrHxxmO2nllbJwPljbG
cnABI+eP2yfi34z+IfgTx9p3wzudZvdDuPDIspdLOkC2a7ec3Ud0EF1biWRhD5Pyxsv3jt3PhW6e
58PeNPDcb/2ro0OuQK8h+3eHnyRErEh5LaUhw2zHyRGckhgP4Q1fRdasfEelW2pabcpeWNym+KaP
ow6fUEHIIPIIIOCK8R42ot0j6CngaE9Yyex9HeIPjv4N0D+zdt7qGv8A9oWUepW//CK6Le67m1lz
5Nw/2GGby4pdr+W74WTy5NhbY2OJ8W+Nbb9oW2Pw40PR/FFlpGswsfEOq6/4X1LSbZdLWSJbmyRr
q3iLz3ccjQL5bKY42nmDh4Y0kf8AsgfBbwV8KPhJp2reFPD9no1/4wtrfXtXmt0wZZ5oxKI1/uQx
eYyxxDCoCeCzOze517adz59qzCiiimIKKKKACiiigAooooAKKKKAMTxn4RsfHXhy60bUGmjt5mjl
Wa3YLJDLHIssUq5BG5JERwGDKSuGVgSD86eHtHj8Jz6z4Vjit4v+Efv3sgbWFIo5I3RLiF9qKqhz
FPEZNqqvmeZtG3Gffvib48tPhl4D1nxLeCN47GEGOKWXyUmmdgkMbSEERh5GRS7Dau7c2ACa+b/h
/YeKU8OQwR+FvE3iPVy8l3qt1Lp66YrXU8jzSsgvPsodTI8mBGp2gDcFyueWvHmSstTpoS5Xq9DL
8S2cFv8AFTSLpIYxc3ejXcU0xUFykM9uY1BPKgGeUkDG7IznauNas34i+DvG2ieL/AfiDVrTTdH0
qee70xrSG+NzduJrZrhVlXyRHGVNmN3lyuN3AZlyTpV83jYOFRX7HuYaanFtdyHRfF+t+D/HNt/w
h0VtqviLVGsrS90aeOSVZbIXJUTu0QZ7ZIvOm/flWjG9gyOfL2/XgOa+cf2Zbexg+KnxMe0MZuJr
HRnvAkm4iXN6o3DJ2ny1i444wcc5P0dX0ODjy0Y6niYqXNVegZr5O+N1jBpuofEH4dWtpDrK6z4e
1HxTZ2KRvJNayu4HlhChEhkuzNOjhyysSgRVWMt9Y1ieLvCNj4z0oWd4ZYZIpBPa3tsQs9pMAQss
TEEBgGYEEFWVmR1ZGZT01Ic8bGNOfJK58i6p4l8FfFvUfBmhQajo/iC21HVI7mS1DxyzRxxW81yC
YmyU3NEkbhlzsldTgtkczo0XxV/Z9+Ket6V4P1+z0r4fazqM0ul6Hquhtf6Xaz3EZuZGhIuoZoPm
guf3SStFveR/JhEkW76K1N9V8Ba3aaT4gze6ddlo7DxDFG+12DIqx3gWMRW8zmVEQhiszK+1YiUi
rlvjdcK/hjS9MAPn6lrFkkLfwqYJRePuPUZjtZAMA/MVBwCSPIpxlhnyI9eXJiI8zPQvhB8foPid
r1/4c1Hw5qHhPxJYWUV41vfT281tfoXaOWSyljkLzRROEDNJHE6ie3LxoZQter5r5R+B3hi/8X/t
AR+KtPvZrTRfB2nX+hamE8sC9vLwWFylthkZtkcUcUzupj+aS3VXceei/V9etTk5QTZ5NWKhNxQU
UUVqZBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXE/GjxtffD34X+INa0iK3ufEKwraaJaX
asYbrVLh1t7CB8MuFkuZYIyxZVUOSzIoLAAwPgV/xcHQdO+K+qf6TqfieyN1pCv00zRp2E1rbRpy
I5XhFvJckFy84I3tFDbrHZ1j49aTofi7V9EudD157fSZ0t7zVrS1S4gjkeCOZQIo5GuH+WaMZWEg
EnOFBYdZ8PPBNj8NfAHhnwjpktxPpvh/TLbSrWW7ZWmeKCJYkZyqqCxVASQAM5wB0rwHwr9zX/8A
sZNb/wDTpdV5uPxUsJTU4q+p24TDrETcZPoe/eEviB4b8dxztoGtWWqSWwQ3NvBKPPtC+dqTxH54
X+VgUkVWBVgQCCB0BGa+a9W8PWGtTW09xE6Xtru+zX1rM9vdW24AP5U8ZWSPcBhtrDcMg5BIrovg
1qniG2+I2oeHxrN1rPhi30hLuSHU3M9zp9w85WHbcuxklSYLdEhzIUNuoDIrKpwweZQxUlTcbP8A
A1xOBlQjz3uj3KiiivZPNPH9P8NePfhBJqUHhbTdH8beE7rU77WTp9xdvpur2jXV1LeXMcTlZILx
nluJhErmzWNUjR5X3NKtv/hZnxG1v9xonwc1DSrtfnabxrr+n2NmydCqPYSX8plyQQrQqm0OTICF
V/VaKAPP/hN4x1zxL/b+na2+n6vNot6bL/hJNDtZLXTtQkGfNijhllkdJbdwYZQskse5cCQSieC3
9Arwrwnr03ws/aX8QeA9Tmt4PD3juF/FPhQARwrHewrHHq9iimYlmZjDfjZEu5rq9dizKzH3WgAo
oooAKKK+avhb4j8X+Fvg1pnxZt18QfEDTPFVlL4s1PwhFObzUbFLwveQR6YZnAf7PDLFatbZjSVY
FlhWKXfDcgH0rRXP+APH/h34p+DNJ8WeE9Wt9c8ParCJ7O/tidsi5IIIIBVlYFWRgGVlZWAYEDoK
ACiivH/iP8TfGWk/FzQ/CXhXT9HKS6ZLev8A8JQl3Z22sXDORFZ2eoRJLHHPFFBdXEsbxSSNGsWx
NpmlgAOg+IXxD1zR9e0vw34K0HT/ABZ4puP9KvbPUNUk0+302w2yhbqeZLecrvmjEUcezdIfNZcr
BMycVc/DP4i/Fzx/oN/8SJtH8NeCfDk1vqlp4V8J6xc3p1bVIpfMhnvrmS2tj5FuyRSR2yIVeXDy
MwjRK6r4F+EvFXhnSvFN542s9Ht/E+veILrVbmXRNRlvIZomWOK1UmS3g2tDbQ29thUw4thKSXlc
DhLf9p/X9d0251bw34N0nW9GZ5zYTf8ACRPFNeRI7KjbDaFY2cKDsZ8oW2vtIIGc6kaavJ2LhCVR
2irn0NRXjn/DSUf/AET7xb/33pn/AMm0yT9puxtDG954G8X2lqZESS4WCzufKVmC7zHBcySsq5yd
iMcAnBxUqtTf2l95bo1F9lmf8VfA178LdBvvEfgWSz0nQrG1klv9Be1VrG1QFHe8giQowKokm+FH
VW3tIqmUFZvn7WtJ1fTNB8c3i3Nm2qa35lxbQ6JYvaN9tkhWFRGvmuzSSSLGRj5jI7dSwA+79Pv7
XVrC2vbK5hvLK5iWaC5t3DxyxsAVdWHDKQQQRwQa8R8J/szXHhjxdot03iOzu/C+jXslzZaGdJYO
sQWRbWF5muGD+QWiZXMe4tAjZDfNXNWw3PJSh8zrw+JVKMlPfoe3afp9rpNhbWNlbQ2dlbRLDBbW
8YSOKNQAqKo4VQAAAOABViiiu884KKKKACiiigAooooAKKKKAK+oaha6TYXN7e3MNnZW0bTT3NxI
EjijUEs7MeFUAEkngAVxMvx8+HQjP2Txno+sXH8Nlot0uo3cnrst7ffK+BknapwAWOACRl/tE+MU
8L+B4LCS/wBK0aPxHcvor6trUcc1pZK9rPKXeKQqkuRCYwjkLmQEhwCjV9F0z+xtGsNP+1XN99kg
jg+1XsnmTzbVC75GwNznGSe5Jrkr1/Y2Vjsw+H9tdt2LI/aH8OXXivw54esNM1+9v9cuHt4RNpj2
Aj2IZHkK3nks6KiuzGJZNu0AgM8Yf1EnFfP/AId8N3Os/tL6fr+jia1t9G0Oew12+CJJDdCV0ktr
EEvlJEO64YquQpiDHEq17/nNbUpucFJmFWCpzcUcT8bfB83jz4S+K9EtLeS61Kewkk0+OKcwP9tj
Hm2zCQMu0iZI2BJA454zXjfgf4XeLPHohOr2F/4H0wwrNJdloHupywyqQI4YxjPLNcRI4GF8oMxa
L6bBzRUVKFOrJSmr2HCrOmmovcwvB/gnRvAOkHTdEtDa2zSNNI0s0k8s0hABeSWRmeRsKqgsxIVV
UYCgDdornviF4vj8A+B9c8QyQpdNp1pJNFaNKIjdTAYigVsH55HKxqACSzgAEkA76RRlq2dAelcd
48+LOhfD3fDepqWp6kLZrpNM0XTp764ZfmCAiJSI97KyoZSisVfB+RiPk3QLfw9o9pBB4v8Ah/pf
im6VVFx4lttOguLi6b/lpcXUcv70yHO4mNpmkbe2FJCn1j4bSeBJYr5vBdlpWnSHy/tttZWK2Vwn
3vL8+Eoki5+crvUZBJGQc15qx0Jr3NT0VgpJ++7GlrMfjTxxJfHWPEa+H9Ku7YWp8PaNa2t7BtO8
Smae7tmM/mBh8ojjVQNu1+XPjPxGnGh2+i+CdN1PU9XvdClN/Nr+q3q3FxFJKk6CNv3ZEsgimchW
2bA1u2JFJU+lfGTx1N4M8NxRafOkGsajMlvbysFb7OhZRJMQfQMqKSGXzZYFYEPivBLiaDR7O8vb
qed1RWuLm6upZLiZwq8s7sWdyFUAZJOFAHAArzcRiZpW6vY9rB4OEm30W5b8G/E3xH8CPFcniW11
G78S6bqssUOreGZEt45dSf5USa02iNReJGuADnz0jSJiNsUkP3N4A8feHvin4M0nxX4U1a31zw9q
sIns7+2J2yLkggggFWVgVZGAZWVlYBgQPlb4ceCofDukW99e6fbReI7lHe7uvKQ3CCRzJ9naUZLr
HlYwc4IjUgAYAsaD8SpfgL8ZtD+13VmPBHxJ1q20e6tnhkNza649s0dtdI6ht6Tpa21q8RCqhSOU
Mv77f6GDrSX7ubuePjYwnJzpxsv61PsGiiivVPLCiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
vKv2mv3Xwut7t/ktNP8AE3hvUryduEtrW31uxnuLiRuiRRQxySO5wqIjMxAUmvVa8f8A2rdThl+C
+t+DY0uJtd+IEM/g3RYbe2kmBvby2mQSS7FYxwQxrLPLIR8sUEhAZtqsAewV876h8O9d+FNl5MNt
/b3hG2Zo7Q6VbTSX1hAWIgt2tlEjTpGgSPzkYucqWjwHlr6INJjFcuIw1PEw5KiN6NadCXNA+aNC
8W6H4p8/+xtZ0/V/I2+b9guo5/L3Z27tpOM4OM9cH0rrvgDYz3XjH4i6zLPH5aXFjokNukRBVILf
7UZGcsdxZtQZcADAjHXJx6R4w+Hvh7x7DbrrempdTW277NeRO8F1bbiu/wAmeMrJFuCgNsYbgMHI
JFWfCvg/RfBGmGw0PTYNOtnfzZfKX555SoVpZXOWlkYKu6RyWbGSSa8/CZasLVdRSurHZiMa8RT5
GrM2aKKK9o8wKKKKAPFPj14e+IegazYfEf4Vafp/iDxJp1l/ZeoeErtRB/wkFrJeWzgfazPEkEts
i3jRPKsyr9qnCpmQ7vQPhv8AFLwx8XNBuNX8K6n/AGjaWt7Ppt3HLby21xZ3ULbZbeeCZUlhlU4y
kiq2GU4wwJt+P/G1j8OfBureI9QiuLqCwhMi2dkqvc3kpIWK2t0ZlEk80jJFHHkF5JEUcsKyvhl4
JvvDltqOseIpbe+8Za3M0+pXkDNIsUQkka2sYnZVJgto5PKUhIxI3mztGsk8uQDtaKKKAPKv2p/9
M/Z98baInF34nsh4Us3b7kd1qciafbvIeoiWa6jZyAzBAxVWICn1WvKvil/xUnxZ+FHhRfmjjvb3
xXfQT829za2MAgRCvO+VL3UdOuIww2qbYyBleOMN6rQB5p4/+F99Hc6t4v8AhudH8N/EqeEh7y/t
Wax1orGEih1NYiryqoVRHMD5sGPkJjeaGajP+0Jo/gSCSz+KkmmeAPEaKZLexXUGvINWTGR/Zshi
jkvJBwjQJCJlkKjyyksEk3rNeP8A7VN9DF8KVsGfF3qWr6dFax4P7xorqO5kGegxDbzNzjOzAySA
YqS5IOXYunHnko9zyPXf2rPih4knA8JeFfDHhrSTfzeVq/iK5vL65uLFTKsMh09YrUwyS4hk2vPu
jVmVlLggZvwG8Qal4M+MdzrvjnXE8Y3fiJY9Ih8RX2lW6anYs8sS29qssKoFtXYKGjjQJ5xWXYpe
aQ49ZHi8Tv4W1aK1i+0Xs1tJBbW/lCUzTOpSOMRkHezOyqEwdxYDBzivkIZpiJ1o9r7H108sw8KM
u9tz79r51+OHgKDwx8QtI8ZWOpXaXnibUotL1Gx8q2FvJFDYXckbZWESlw0Y+ZpCcHb91UVfoLT7
KPTbC2tIWmeK3iWJGuJnmkKqAAWkclnbjlmJJPJJNUPE3hDQvGlglj4g0XTtdso5RMltqdpHcRrI
AQHCuCA2GYZ64J9a+tqQVWDi+p8lTm6c1JdD54orY+I/w4j+FcFlqulXt/deHp7yKyurPUbg3BsD
KdkMscz5mcNOyRsjtIczqytGkTKeU8ReIrTwzpxu7su5ZhHDbwgGWeQgkRoCRkkAnkgAAsxCqSPl
61CVCXLI+no1o143idh+z/4s8QaXrS+A20Gwn02J9S1ebWYNSkZ4Yp7ySWFHg+z4V3aYqoMmGEEz
AnZtP0CK+SPgV8TtS0T4hpY32g22o3viq6jtftllesj2kEUUskcCxOgSVY/9IlaUujsJHAQlY4z9
b19Fhaiq0lJO58/iqTo1XFqwUUUV1nIFFFFABRRRQAUUUUAFFFFAHJ/FbwdJ49+Heu6HbmFNQuLc
vYS3DsscV5GRJbSMVBO1JkjYjBBC4KsCQfkjwv8AEPxP4W8Cf2zokH9raVcaMtxYeHJIxI+nzGJn
QQuCrSRbmRTCcEKP3RXasTbv7TB0/wAZfGS8s7qKLVrHRtNtbT7PdxeZHbXbtLNLsVxgM0MtoWZe
CAgJJQhec+GcjHwdbQk/u7We6s4V/uQw3EkUa++ERRk8nGSScmvAxeJTqOEVrE97DYWUKSqt6SOy
+FHx517wP4UsWbTbLx54NdJLiK98Nxm31GLc08r7oJpGFy28opYyLMWLlxLIWJ+oPCfizSPHXhyw
17Qb+HVNIv4xLb3UBO11zggg4KsCCpUgFSCCAQRXxLrTS+Edfm1DRplutV1dWd9Cvb+O2t7oQQlp
ZxLKQsBjhjDM5OwrGFI3MjD6b/Zq8EReEfhlBfrqkGr3Pieb/hIrm6src29qZLiKPAhRlVwgRE5k
G9juZsFio9DCVZ1Y3lsebiacacrLc9V60tFYvivxlongfS/7Q17U7fTbVn8qMzN888m0sIokGWkk
YK22NAWbGACa7m7as41qcV8VfjfD8OfEuhaBZ6O3iHV7+OS9ubWC8ihe0soyFaXDHLO7sEjU7Vch
8yIEJrzj4x/FFvip4f0LQvCei6xqk5v0vdb014IraS1igXfGkjTOi5NyYGRomZJPs04V2VHB5y91
7V/HPjnWvFWq6dHosVzDBp1hphcSTx2sDzMsk7qzIZHad22plVXaNzHJqvpx1zwtrWo6pol5ZznU
Gia5s9Vty+ViXCxQzIVaFTlydwlVWdmVAS4f52vmSdSdJNcu1z3KWBahGp9rsYtvq0T6g+nXMU2n
atEheTTr5DFOqg7S4U8PHu+USIWjJB2sara/pmnX72TXOnDUNREvl6esKD7UJiMjyHyDG/ybt4Zd
gQuWUIWHoNx4w8P/ABA0TXrTxbot5pCeHrWLVbyUz5EakTAzW01u/m4xDMM7Y3ZWwVw5Wq/w08Ca
ppOqz63rzo10IGs9PhLAzQ27Sb2acpiPznCwK6puRWgJRsSEDyaeD99Si9D0pYn3XGS1KlvFe+Gn
vrnx7bw6lFqdnDZXOrQqbi2EMaNmK5iWFVijBlnYzMCjZkLmBTFEOF1D4X6gPiPaeHY7x7PSUV9a
029kxcs4t3g2W8oJDnZPKjFsgtGiLvLs7r9C3lnBqNnPaXcEd1azo0UsEyB0kRhhlZTwQQSCD1zX
l/huPTfCHijxzqd5rEtppVg9lpPmazfGUQhIhcbvPlO7DPf7QsjMQV4baVRPWrNez5rarY4acpJ8
qej3MzTfh98QNSszpev+MLe2sY/MR9S0aAJqF8rGUAksgjtsK0PCK7ZQ4cZzWF4u8E2134ja28La
PBovinQJUurHxjdalONUtLmSB1juQNrNewKsrp5U8vlSmOSJl2pWp4x8f+JbzUre40m01my8IFAr
32nach1IT+Yqlmt7hWb7Phz92HzN0TEDYVL5XhTxV4D0JJZ18XLJqMiJaXU3iLVpPthMLOu2SO4Y
NGQzSHaFUZYkDGKxoynJ87fyX6lVKXJ7rjb1PqL4AfF66+MvgebUtX8P/wDCJeJtPvZNP1jw/wDb
Re/2fOFSWNPtCoqS77ea3lygIHm7SdysB6VXyx+ztrEWm/tIeOtC0tri9t9T0Kz1bWI45JPs+l3s
UjQQMwOU867gbHG1gmloWDB1K/UwPNfS05c8VI8CpHkk4i0UUVoQFFFFABRRRQAUUUUAFFFFABRR
RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
ABXj9l+1P4K1q5v5/D8eseMfDNjMLGfxR4Q059csVvjGk32QLZebOzCKRHMqwmBd2wyiXMdav7Sn
w8sfit8BvHPhXU/Flx4G03UdMlW68Q286wiyiTEjvKWKgwFUKyqWUNE0ill3bhrfBDxJY+Mvgv4A
1/TNFt/Dem6r4f0++tdFtNvk2EUttG6W6bVUbY1YIMKowowB0oA5/wD4au+DEXyXfxV8H6VdrxNY
atrVvY3ls/8AFFPbzOksMqnKtHIqujAqyggiuf8Ahhew/FT9obxb8Q7Sw1h/DGl+H7Hw54d1m9aS
Kxv2kmmutQuLCIviWCRf7LUXezbL9n/dO6LuPutFABRRRQAUUUUAFFFFABRRRQB5V+0V/wATDw54
Q0K3/earq/jPQPsVv0837JqMOpXPzH5V2Wlhdy/MRu8rauXZVb1WvKvip/xNfi98FtKtf3t/Z61q
HiGeHpssIdJu7KWbJ4O241OxTaCWPnbgpVHK+q0AFFFFAHlXh3/irP2jvF2qn/SrDwno1n4etJvu
fZb+6Y3uow44L7rddCfcQyjG1CG88V6rmvkLwhY6lqfjv4lfEPw1q8nhnX9b8V3FpKjobu1kt9Lk
XTBDNCzKriT7BJKHTy5I/tJRXIVi/tPww+Nl144v7S113w1J4Om1GzhuNOhvLoSy3EuxmuIGUIBH
JGF3KpO54yW2qY5Uj54YinOTgnqjqnhatOCqNaNXPVK8f/ap+yj4Urv8r+0P7X077Bux5vmfao/N
8rvu+z/aN23ny/Nz8u6vX+grzr47/D25+IHghRp2+TWtHnbVNOtQVVLqdYZY/IYsQFDpK6hsgKxV
juClWqsnKnJR3sZUWo1IuW10fL9dv8BfBUnjvx82rXNsf7A8L3JDGVkIutQ8qOSEBPmykSTeYSwU
iUQFCdjY4S3uFuYy6B1KsyOkiMjxurFWR1YBlZWBVlYAqQQQCCK9C/Zp1PUdK+LV/osWozNouq6b
d6vPp7xxFFuomsLdZFcJ5g/dnBUsV74Br43LYR+tJVFr09T7HMpyeFbpvTr6H1RRRVDXdf0zwvpU
+p6zqNppOmwbfNvL6dYYY9zBV3OxAGWIAyeSQO9fcHxJg/FTwPP8RfBVzodtqEelXD3NpdRXctub
hEaC5inAaMOhYExbThh1zXxFJ45f4mTaJd/2fc6bZ2lol+YZ1yrXMyuo2yAAMEi3cgkEXA3KjJge
+6z+1td+Hg+q6l4TtbPwil+kL6nLqkwuktHuFiW5a1+yZB2MJDEW3AfKcMCK8OvoPC2n+K9Us/BD
6hL4UEVvPZrf295F9lYoY3tkN0N7qphEm4cDz9oA28+BmcozoudN3tofQZVFxrqE1o9R1vqeseHd
c0jXtAexXWNJmkuLdNSheS3kZreWEq4R1YDExOQeCBweld3qP7RPxM1uC5i+16H4dimkYxnS7J57
q3jDkoomncxu20AMxgAOWwFOCOFor5qjja9CHs6bsj6qtgMPXn7SpG7Pq/8AZ18Yal41+F9rd63q
f9q63b3t7a3czpFHINlzJ5IkSNVVWMBhYfKMq6t0YE+mV8V/Bu48daPoF1rXhnxRa2gvtduJZ9G1
DTklsXijb7GxYricyBLdJAVlVSyhSoBLV6LP8YvG/gGzW98R+I/B+o2bXEgEeo20mj+aXZ2SJbnz
5VTYv3f3Lsyx4Y7iZK+to5jQaUJS97rvufEVsDVjKUor3enofR5pAc1wHwU+MFj8afCk+r2li+ny
2dyLG7gN1BdRrOIYpWEU0LssiASgBvlOQcqpGK9AxXrJ3V0eY1YKKKKYBRRRQAVX1DULXSbC5vr2
5hs7K2iaae4uHCRxRqCWdmPCqACSTwAKsV5p+0n9u/4Ud4t+w/d+zL9u+7/x4eYn23r/ANO3n/d+
b+5822pk7JsqK5mkfJFhfS6ut1q01s9jNq13c6q9pJktbNczPOYiSASUMmzOBnbnAzgWvhzLrF7p
KaR4e8P3XiPWZpdYvI7W3uIIFCRXzKS7zSKAN00Y43HknBxWF/wnfhr/AKGHSv8AwNi/+KrS+E9h
eGxOv6X4p1SzE8mqWirYPAsZtpb1mkVJBEZF3mKNvMVw64yjLXw8asaUpVcSnZv/ADPucVDmpwpU
Grpf5HpniHQ5/h54Rk8B3l02t+NfEsltqXiTU7VFitbGxEjFLRA2Hlt38iaARndnzbiSTb5mx7Pg
z4jeL/h/oVtouj2uiSafaXl3eM995zy3yz3MlwYgVKi2KmRk34n3cNsXGw8o2s6LoOorYXeswrqt
66ybdS1Ay3l0zYRWZpXMkhwoQEk8IFHCgDUubmGytpbi4lSC3hQySSysFVFAyWJPAAHOa5a2bYh1
uaguWOy06HFTwFL2dqrvLd6n1d4Q8S23jTwnoviCyjmis9WsoL+CO4AEixyxq6hgCQGAYZwSM9zX
yd8WPFdhpH7RPi4659vk1ZbW0t9Lii0maYrpiwo7PG0UJLIbqW4DMWPzIF42AVP8LvG/i/X/AATo
9h4e1bxU1vp0b6Rplt4a0GD7Lc21rI8Mcr315A9u8jJFuZhNGhICqgfhup+M9xql5f8Awqutft0s
vFEuiXzajYwAeRC7Cxa42uHbJWURqq8gqztvBQCT6zFVFWw03Zq3yueLhKfLiYRbWvzOY0fXbDxB
atcafdR3MaOY5Apw0UgAJjkU8o4yMowDDPIFUtS8d+GtGvZLPUPEOlWN3Hjfb3N7FHImQCMqWBGQ
Qfoa4m08O6N8QPihq93dW9nrGmaTZ29m8dxZLKn2wPOWUSsP4Ek+aMZUtIhYbo1x6Xpul2ejWUdn
p9pBY2kWdlvbRLHGmSScKoAGSSfqa+W9lBWbvqfTPmbaTWnU840vxPdfE/Vby70KxlsbWxjEFhrG
pWybI5mxKZvILb5flFnJCrhY8kyOGaKJa7G78HWetHd4gnuvFEhO5hrEnnQbgMBltgBAjBfl3JGp
wWySWYnmvB9xrumeGtL1Sy06TX9O1t5NUktIZYorjTzcl7jahcosyAyKp3MrA7mG4MEj3j42SM+T
Nomuw6geBZ/2dJJlj91fPTdAM8fMZdq5+Yrg49RtxXJDRI86MYt8092UdS8KeH/Bei6xqlpHqekW
UEUl9cWmhanc2UblIxuKxRSpHuKoBnAzgZPeuO8OfBjQLPRpF1qwi1vWb6PdqOoXjtPJLM2TIyO2
CvzM2GXaxwCSSM13OqXcHxD8GeJNO0qSSO4lt59OZb62mtjFM8IKh1dAwGJEbO08HjNee65rninw
a1pL42aZLK7lFraP4FWKWZrhuVjkiu42LbgG2mMjBUgg7lxnOFeslCErerO7D1MNh251YX7WR654
C1m41nw5H9ukEupWckllduQFZ5I2KiVkAGzzFCShegWVcEjBOxf6VZap9n+22dvd/ZpluIfPiV/K
lXO2Rcjhhk4I5Ga5Pwt8NdH1e0/4SXw94j1n+1J52zqVzGIfPMO+HyLm1EcSyIr7x8yrKMYWRQFw
/X/FeufDXw/fav4x0yK70ixEk1zrHh8NIsFsrHM01s58xAqEMREZvuuTgAZ5qmBrQfNDX0PUo5nQ
qR5amnqeofsO6Foml/A+51LQ4LdLfXPE2u6g1xatuiuUGpXEFvIhBK7Ps0FsqbPl2IpHXJ+ga81/
Zp8CX3wx/Z7+HHhXVILi11bStAsre/t7q9a7eG6EKmaMSF3BVZC6qqsUVQqphFUD0qvuIrlSR+bz
lzScu4UUUVRAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeP+JdMh+OfxE1LwvePcDwT4Pmg/ta3trmSJda1G
a2Zzp10gZfMtI7a4tppImV47hrqFSQLeaKT2CvH/ABrpkPw8+Nvg7xlaPcWum+JZpvDevW6XMkVi
biaFHsdRnTd5RnD2UdgjlBJJ9ugj8w+XHE3sFABRRRQAUUUUAFFec+NPjx4a+H/jM+Hdai1SKUWE
WoG9tbCS7hAkkljSMrCHl3HyZDnZsAUZYEgHs/DfiTTPF+h2mr6Rdpe6fdKWjlUFTkEqyspAZWVg
VZGAZWUggEEVKlFuyepTi0rtaGmaKM15X+0p4uu/CPw0L2WpJpVxqOo2mm/aEuPKudssyq624xlp
GXcCVZWRDJKp3RhWJyUIuT6BCLnJRXU9UJxSE18MfZtX/s/7P/wmnjPzvK8v7X/wk195m7GN+PN2
bs8/dxntjiquseGoPFmt3Ws+Kpn8X6vcKkf2vWoYZDFEgwscSKixxrksxCKMszE5JrxHnFC2idz2
llFe+rVj6ctj/bv7U+o/aPk/4RXwZbfYvK48z+1b6f7T5uc52/2JabNu3HmTbt+5dmt4p/aF+Fng
bXrrRPEnxL8H+H9atdv2jTtU161triHcodd8byBlyrKwyOQwPQ15P8AfgN4H+Ifwq0fWPGvg7RfG
QczRaHL4r0KC7urHSllYW1uks8ZkaE/PNHu+6k6qMhQx+gvC3hPQ/A2g2uieG9G0/wAP6La7vI07
SrVLa3h3MXbZGgCrlmZjgcliepr24vmSZ4slytoPC3izQ/HOg2ut+G9Z0/xBot1u8jUdKukubeba
xRtkiEq2GVlODwVI6iuf8bfE2Hw5qsXh3R9PuPEfjK7hE1rpNskghiVmZUmvblUdLOAlJSHk+aQQ
TLCk8ieUeVtvCXj3wPquvaD4LGjw6FrWp3GuWWsatG9zDojTN5t7bParJHLctNdPLPGwmRVF1OCY
1tYIrn0DwT4JsfA2lS2trLcX15dzG71HVb5le71G6ZVVp52VVBYqiKFVVSNEjjjVI40RaJPl74W+
E/EHwC8BeF/AWv8Agm7gTSNNitY9W8JWcuqafeyJFEZpdsMQmikklkkY+bEoYhyHYk16t4U+Eeqe
L7nStc8Ztd6NFYagt9aeF7eSNSJIZG8l7yaORxNysU6xxlFVvlfzdoI9rNFckMLThN1EtTunja1S
mqTegUUUV1nCec/Eb4B+E/iS91d3EFzomtXK7JNa0SX7NdyDaq/vDgpKQi7VMquUBJTaeaqfDP4D
WPw08WXuuJreo67LJZCytjqaxCS1VpN8+GhSNWWQpb8MhKmE4bDkD1GkIyKz9nDm57K/c09pNR5L
u3YUHNeA/H34i3Wq3PiD4eafo1hfW82mxC41ma/Kvp11KZDGUhWFg00ISG4AMkZ+eIgrkNXv1fLn
xV0VvD/xv19xJcfZNdsLPU0WdVCG4QPbTiIhQSFjhsywJbaZVPAcCufF1JUqLlDc0w8YzqKMjkJN
M1I6PpUa6lDJrFhcWV4L64td0cs9vNHNuaJXX5WaPlVYYDcHiult9f8A2d/FGhyWmqeBtP0fVYJh
FexaB4euHks7mNwxWO9soAeoUgqyttYB1QlkGNHanxF438HeFlv0sRrmotHc4J857SGCWeZY9rqy
FhEsXmKcp5u4fNtqTXraxtPiR46i0uK3h0qLUoLa1SzVVgRYdPtIGjQL8oEbxPGVH3WjZeCpA8Gl
WqYXDSquzTex7CoxxOIVK7TS3PMPA2neLLrwor3nhTXLiTTJU0y8ubKL+0SbkQpJysBeU7o3Ry5T
YC20tuwD6T8P/gb43+ItpNfTQw+CNLEjpbya1aSy3txtIXcbTMRiRjvwzybsID5eHDCz4R+J918F
vFl1rF3bteeCdTSJNXW2V2m06VNwF8sYJEiFGVJQF3hIo2BYR7a+vuorfB4PC4iKrWu+q6JmmMx2
Lw7dC9ktn1aPAvBn7NOveFNA0zw+PG1jb6LZQrDu0fQBbXjYH3xJLPNEGZvmcmFt25sbSQw7/wAD
fBPw54Hu49RP2zxDrsbySJrOuz/abmEuX3eSMCO3BV9hEKRhlVQwOBXbx6hay381klzC95DGk0ls
rgyRxuXCOy9QrGOQAnglGx0NWK9unh6VN80IpM8GdapNWlJ2CiiiugxCiiigAooooAK8V/ac05/G
mj+H/A8N6Lf+2Lx7y9ie3WVHs7VC+XDDDILt7AMisrsrEAhd5HtVfP3xt8f6Donxa8NGa9a6k07S
tStr6DTbeW9mtJJpLCSFZo4Vd496RSMpYAEKcVjVdoM0pq80ch8MvDvib4X+N7jxLqekw+JFjtZt
OhTRtRWKQ28jQsXFtPEqmQyQqTuugqoSAHZcvi+HPD/jr4h3Gval4d8EHRLXVNRupbaTV9St3srK
6Hy3qyNHI87r9tS7KlY/mDJjy1Pydjb/ABp8KXN5a2wm1SGS5nitomuNEvoUMkjhEUu8IVcsyjJI
HNeo/s+/8k3b/sOa3/6dbuvMjQhioexqx91anfUrVKU/axfvMv8Ahb4NeG/DnhG/8PXVt/wktlqV
z9r1BtdiiuPtkoEaq0kYRYvlWGJQFQD92DgtljLp/wAE/h3pV/bXtl4C8MWd7bSLNBc2+jW6SRSK
QVdWCAqwIBBHIIrtM5or1owjFKKWiPOcm3dsK5D4kfC/RvidpUVtqIks762cPZ6vZxxfbbI70Z/J
kkRwocRhHGMMpKnINdeDmvN/jz4/vvAfg22/smTyNY1i+j020uWjV1tyUeWWQhuNwhhm2ZVh5nl7
lKlqJuKi3LYcObmXLufNafCPwtoniLxTol34e0u/utN1i5U3N1brcu8cxF1ADLKDI7LDcQqxck7l
blgAxRfh4NFsoI/DOq32iz2/lpGtzczX1t5SkZiMMshAUgYyhRh2YDIPR6h4jPifWNE8TyRw211r
ti2naxb28flQ2+r2Rw/8TEtcQyh4w+JDb2sbHcPuWLq5Wztpp5BIyRIXYRRtI5AGTtVQWY+gAJPY
V8tibwqvl2eqPo8O1Kmm91ozzX4WX2q6LpN14Lae1vPFNjfi2htIp2uIrW1dYpBKAwWQQQxykASN
lmj8tZAXQD0Pw9qU+oWtzHeqkeoWV1NZ3CIpTLRuVWTYSSgkTZKqkn5ZV+ZgQxxvhX478J6Zo02r
37zaXq+rymfVdQv9LuLWCGRSUW2kuXjWL9wAIAdwDOpON8hB1NM/5HPx5/2F4f8A03WdclSTlOXu
2NqeiWpl+LfCF/f65puvaDd2mn63ao1pK93bebFcWrspdH2lXyhUOmGAyCDgOSM3WfDPjG5vtFvB
f6Hqn9n3bXP2U201huzBLFnzfMn6ebnGznHUd++opKrJKxryK90cd8LvHdp4Z8JJYeIodS0zUkvr
6W6ebSLlLaLzLuaTe0wV4lTa4Yt5rKo6uQM10NxfaR8ZfGHhDwTpWoWet6Lqd1NqGumxuI5o302y
EbywscsjLLcT2EEsLBt8FzOMDO5cDwx4q8T/ABT1LUrT4ceDZfEFrpmqz6Nf6/q+oRaZpdtdQJum
jJxJcuVYqgaO2dCzffwrEesfBH9m/W/BPxJl+I3jPxLpms+LJtAXQRa6DpH2Kzt4jMs8uZJZJZpj
5igKd8abQSYtzZH0WGjUm05xsjxMTUhFOMZXZ77RRRXrHkhRRRQAUUUUAFFFFABRRRQAUUUUAFFF
FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
AeVftVf6N+zj8RdVj+W/0HRbjxDp03XyL+wX7bZzY6N5dxbwvtYFW2bWVlJB9VrlPiz4F/4Wh8K/
GXg37b/Zn/CRaNe6R9t8rzfs/wBogeLzNm5d23fnbuGcYyOtHwt8df8ACyPAmma7JY/2Vfyeba6j
pnm+d9gv4JXgvLXzdqiXybiKaLzFG1/L3LlWBIB1dFFFABRRRQB8LDUr/wAQ+NfGet65pX9h+JLz
UxHqGmvBtezMUEUcUJkyRMojVXEqkK/m7lVQ2Bc8MX2qeAfHQ8VeHbhIJ5oPI1HTZcrb6qqlfLEp
GdrIPMCyqpZS4zuQNG/0p8Tvgfp3xN8R6Fq0+pXmlNY74L6OwCI2pWpBYQPJjem1+VdSGUSTBdrS
b18n+IH7Nvizwxpl1qfgvXbjxdLGsAXQNZt7aOadvNxKY7pDBHGPLbOHjfmPg/NivnKuBxMa7r0Z
H0VLG4aVFUK0T2K/+N3hrTfhdaeOpnuTp93CHt9PhjEt9LPtYm0WJSczqUdWTOEMchYqqMw+adX8
T65491qTxB4iKR3kq7bTTo+Y9LgYKTbq2SHbcuXlABkIXgKiKs8Hwr8fW8/mL8O9eO3zPKifVdPe
KDzGDy+UhvCse9gGfYBvYBmyRmpPG3wu+JPgbShr9/Z+Gm0KydDqKWOoXNxcrCzqhmXNtGqrEGMj
ljjYjHK4zU4uWLxMOSMLLqPCLCYafPKd30M6q+o6hBpOn3N7dSeVa20TTSybSdqKCWOByeAelSW1
zFeW8U8EqTwSqHjljYMrqRkEEcEEc5rW8I/BTxF8bPAt54htb4aDp88ci6Npmq2R8rVl/dtHcXDB
hIlvJ+8QRhVJUrI29G8pvCwuFqYidorbc93FYqnh4c0nvsfTnwi0K98MfCjwVo+pwfZtS07RLK0u
YN6v5cscCI67lJBwwIyCRxwa62ud+HnhNvAfgbQ/DrXz6j/ZdpHaLcNGIwVQYVVUZwqgBVDFm2qN
zu2WPRV+grY+Ae4UUUUxBRRRQAUVzPxH8e2Xwy8H3niLULW7vba2kgiNvYqhmkaWZIUC73RfvSLn
LDjNfP8A4/8A2pda8R21pp3g/RtU8LGVme91nVPsbSwooG1LeNXmRmdvvNIMKqtgFmBXnrYilQV6
jsdFHD1K7tTVz0n4u/H+08B3VxoWi239r+JhENxODaaezAFDcHcGLFTvESZYjZuMSyK9cb+zn8Q9
Cv7vVfEvirx7px8ceKrmOz/sG9u47WS1igmmS1iitZH8xPM81nVcAlZI8h33yy+HRRLCjAM7szNI
8krl3kdiWZ3ZiSzMxLFiSSSSSSTSTwRXUEkM0aTQyKUeORQyspGCCD1BHavmf7Zl7Rvl93ofS/2N
H2aXN73U7z4k/HjX/iXq5Xw5qtzoXgbyR5DWMjQX2pksGE7yriSCPCqURGV2DHzCMmJfLp9Xns/F
um6rFJq/iG/t7mDS9Ru55579rW2uXCxpcTyM5gTzCjoCRuZWCgb3NbFdH4Z+K/ha1+HWi/DXxl4S
0/w14X8Q20Wlax4gkvIln/tBrTDXksYgePeZ4VIneQkfu5H27SFMNVljqrdWdl0QYqhHBUVGlC76
vses/DTRdR0L4XeI/ibp9l/aXiS/0SefQtPMJmAt0WSW2Cqp3lrk+VI6qUJAhjKh4tzeW6FBBBpF
qLa7bUInQS/bpJBK90zfM0zuPvu5Jdn/AIixPevr3wnqGhal4bsJfDNzp11oCxeTZyaS8b2ojjOz
ZGY/l2rtK4HA247V8h6bojeEJtR8LOGVvD12+mIsjBnNumGtXdl+Uu9s8EjYwMuRhSCo2zejyUIc
myObKKilWnzbtGV8QEjufCtzYz6hbaRbalNb6ZcajeAGK0huJ0gkmbLKMIkjNywHy8nFfV3xW+Le
lfCrSbNrofbda1OX7NpWkxsRJdy8ZJwGKRICGkkwQi9mYqrfOdcTY65L4V16HRvEOoTXqlZ18OM2
CkFmZIz9ggiBLmQPIoVUUl0SFQSI0ROXK8UqUJU7e9ujszLCutUjUb93ZmxB4fvtL1+28Y2d4l18
QraY3za3eRhvttwbdoWSUEMUt3VtpiiKhFx5e0qCPVrP9qvVtc0/WNLs/CC2Hi9C66Y89zJPo9yi
ALLN9p8qNmEMrCOSJE3b2RcgF3i8+0HTNW8bQXc9zp174Q8M2Fx/xMdT18Pp8slvGQ8hgQ4cIyAq
ZWaIxh9ylmQqsnizWdI1698K6F4CkOnto1lJDZavOkr25s42t1kgjjkX/So2C22ZRJHwyNHLJ+9U
enDEzopuozgqYenXko0o/cdDpOseJtC8Qp40lvJr/wAUXIt01e0iuXNndWyuS9tBC7KiCNXl8hvk
bfgyORJMX+hPh38RNC+KfhOx8QeH76G8srmON3jSaN5LaRo1cwzBGYJKoddyZyCa+afCniS51z7d
balp39katYzGOa088TK6HmOaN8AtG4zhiqncjqRlDWl4e1C8+GvjyfxZpgWbT9Rjt7TXtMS1DPcR
RyEJdRsg8zzYUklOwB/NVQgUNsYdtDEX3d0+pyYnC2V4qzXQ+qqKr6fqFrq1hbXtlcw3llcxrNBc
27h45Y2AKurDhlIIII4INWK9I8kKKKKAPO/jl4P1/wAYeEbdPDuo39ne2F4t69rp1/JYy38YjkQw
CaN0KnMgdQxCs0SqxUEuvzjo2k+KLi7bSrD4eeLHvomne5W7tkhUOsuHdrqeVYp3kZi+5JZC+Wck
8mvtKiuerQjW+I6aOInRvy2Pms/sz+MtbtbOW+8U6Fo08N3b3n2K30ua/VHgnSVB55ngLhjGpP7p
MBioJxuPsPwh8K6n4M8DQ6brP2Qak19f3sq2MzTQp9ovJrhVV2RC2FlAJKjkHiuzoq4UoU/hRlUq
zqO83cKKKK1MwAxXy98f9fh8SfFe1s7YfL4ZsZbW4lyfnuLryJjHggY2RQwNuG4N9oxwY2B+ktf1
2x8L6FqWs6nP9m03TraS7up9jP5cUal3baoJOFBOACfQV8XW11eapPfatqUbw6lqt3NqFxFJL5rw
mRyywGT+MRJshVuBtiXAAAA8nMqvs6PKt2elgKXPV5uiMbxfp2rXujtpuhXos7zV7+1toopXKQC8
mdbSK63oPMikRZsb4ipdVCSCWMeXXRGbUdb8IWkVzdmxbxJpnnaVrVtA0IbzYN4Hl+YxjnjB3bPM
bcqF0Y4kEZpV5faZrt54i01EefwZoep+Jd0sTSQmVLSWCCCXaVKiQzSuDnJFtIAOrL7NYeB9HtfB
Wn+Fbm0i1fRrO0gsxBqUSTCVIlUIXUrtY/Ip6DkZAFcNCl7TDxc9+h3Tny15KPzPOdJtrHx78LbO
3+y/2VputaMifZbQqPs0U0AGxDtx8qtgfLjgcdqwfhHp1vY/DrQp4kP2jUbSLULyd2LyXNzLGryy
yOxJZmY9SfQdABW/8PtNTQNP1bQwJEl0zWL6No5ZWldElne4h3SMSXLQzwuSST8+GO4MBi+E45dG
8T+LNBl+0NFFeDVbSSbyyDBdlnYArg8XCXXDDIG3kjFebJOLnDsz2qlpQp1fI6qvNvih8V5PDWr6
D4V8MSaJqfjXXNTtdLisL/UNhsFuSY47yaCMNLJCspjDBQuQ+d6gEjSj8Yaj4/8AilafDn4eaj4W
vPEIs7m/1a61LUGlGjwQXFpE++1hBeWVhdErG8kAPlNlxX0T+zj8BdM/Z7+HVv4dtY9In1EzXEt3
qek6QunLcB7maaKMxh5G2xLN5a75HOFznJNejhMC6lp1Nu3c8XFYxU/chuM+A3wY1b4Rt4uutZ8W
r4lvvEmoxajNDaaYthZW0iW0NtmKMySy7njgi375nXKDaqZbd6vRQK+kSUVZHgNuTuwooopiCiii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAK8q+Hf/Eh+O3xc0L/AF/9pf2R4u+0fd8v7Tatpv2fbznb/Ynm
78jP2nbtHl7n9VryrTf+JR+1P4h+1/uv+Eg8GaZ/Zn8X2j+z76/+29M7fL/tWw+9jd5/y7tj7QD1
WiiigAooooAKKKKACiiigDxz4g/sueFvH2qaleLqGqeG49TgaK/s9CW0hhu3ZpDJO4eByZn8whpA
QWCpn7or2McUUVKhGLbS3KcpSSTewUUUVRIAYpAea8Y1z44a14H+Nmq+GvEGgveeEGsbW8sdW0G0
nu7mzMgmXbdwoGdg7204V4lITEYbPmZTan+PWmzH/iU+GfFGtZxjZpn2HOM7/wDj8aDG3MfXG7zB
s3+XL5ecqkI6NlqEnsj06ivL4/2g9C1HTbObRdK1nxBfyxJLc6bp8MQl09iMvDcySyJBHPGSFeDz
TKpYHZtyw7nwh4mtfGnhPRfEFjHNFZatZQX8EdwAJFjljV1DAEgMAwzgkZ7mqUoy0TJcWtWjy/8A
az8N3+vfCR7yyunig0K/t9Zv7YMwS5tISTKGw65EYP2gD5stbqArEivmivu/xANLOhaj/bf2T+xv
s0v277ft+z+RtPmebv8Al2bc7t3GM54r4P8ABfw01HxHd6tpGran/aXhfTnSxg1e1jZY/EEBVi8i
mT51BXyVMiFkbdN5bvlJE8LM8HLESjKL9T3ssxkcOpQkt9jJuPFNnbGxL2+plL+dLazlj0q6eO7k
f/VrC4jKyF+q7Cdw5GaLjxjoVlcS293q9lZXUTGOa2u51hmhcHDI8bkMjA5BVgCCCCARX1l8CPC8
WpzX3jy6SSS5vHms9GleWQBNM/cgkR58siWaB5llAYvE8R3Ywq9R8Qfgf4K+KN/De+I9GN3exWr2
X2m3u57SSS3cgtDI0LoZI8jIV8gEtgDcc5f2NTcU1J3Nf7ZqKTTirHxdovgifxhatq1/qmuaSzzS
C0sof9F+zokiqrsjJly/lFsSggLMRtyNx0NQ+G8ZuNCgi1SUXF5q9naXOpahD9rfEkypCFiV4lVR
cG2ZvLMeViy3mEbW9S+N/gDRvguLDV9Bu9ReC6BF7o13dzX5S3hDSTXqyTTF4UjRvnwsgdjbxhUZ
9x4O68ZaXN4s8KabDP8AaJX8U6RbGWD54o511CBjAzDpJtjkYr/CF+baWQNy/VqlHERha6/Q7Via
VfDTmnaVvxPpDwL8KvE3w3+F/irQ9N8T2194gvmurrSrxrM21rYTyQKqARM82F85WmbqC0rkqSTn
wnxD8Lb74U+KtA/tHXrrW9X8Q2F/d6o9y6zhZIJrUQItw6CeVY47how0rsSFBCoPlH2YRmuH+Lfw
0b4m6Fp9tBqQ0nUNNvRf2lzJb/aIhJ5UkLCSMMhZTHNJjDqQ205IBVvocVh1WoOnHtofNYau6NZV
H31PnGsfwx4r1G2+IU+qaJo6akNLtJ9LlN9cNZRebLJDJIufLeTKrDCykRlHWZjvUoA+x4p0rxH4
F+0prugNE1qizTX1tdxJpgiZgisL25MEQO9lTy3KybuQjJhzwXwn8c+GfGGv6trOn31paXuqrDaj
S5mSO8cwCRjK65+YlZMDbuAWIfNnKp8XDD1sK3UlHY+09tQxbVJS0Z2134ZufFFzLdeM9TPiyRyT
HY3Nuiada4d2UxW3Khgr7PMcvJgY3YJFUfiMhuNOtEsIZ7rxJbzfbtJtrWXYzTxqQS53KPJw5STc
QCsm0HeyA9bXnPg7UtUT4qeILS/07+0meaUJqdrJOYdNgEcBjt2EqhFaRSkjeS7FmI3KAoK4e0nU
vUk72PSdKnRSpwVr6HaX3hW11/7Pd6hHcWeo+SqTNpepXFvnGTsLxNGZFVmbbuHG5iAu41S+AfgO
18Wa54fstb1PxPJY6v4Ps9YEceryGG6uIyBdF5C5uIWBurRlELRq2GDZA2noNVsf7U0y7s/tE9p9
pheH7Ravsli3KRuRuzDOQexAqP8AZB0K7HiTSblry5utO0/wLpzQQ3FwG+zSXr7pVQeWXdWNipG6
XEeNqqVYCP1MklKpKSb0XT7zw89jGmotKzd9fuPqLQtA0zwvpUGmaNp1ppOmwbvKs7GBYYY9zFm2
ooAGWJJwOSSe9X6KK+0PiQooooA+fPjD4n1fRPHtzdazr2o+A9CtoorfRNUS9hjs7mUoWuHffuia
Q7xGsNzG2BA0kOSZCnV+EPjLcwa1YeHvGFqsN9eFhba9p9s0emTuWRUhcNI7W8zM+1VdmWQgbX3v
5S+g+LPCekeOvDmoaDr1hDqmkX8flXFrODtdc5BBGCrAgEMCCpAIIIBrw74s/DKHwJpqXdnpMniL
wCYZZfENnrF+9+9isS+at2guWdpIwEYSRByRtiaJN3mb/ExEMVh6jxFGXNHrF/oehSlRqxVKorPo
/wDM6zxZ8cXfxRf+GvBaaPrWoafCp1K+uNQzFp8rvLGqeVErGWRDDIXiZ4SBsG/5yU2Pgz4z13xf
aeJovED6dNe6RqwsEm0y1kto5IzaW04JR5ZCGBnYfewQo4FeJ/EXxJY+B/C9lp1nrek+Erm8ntdO
sZrsRiO0ieeKGSZImZQywxyF8fdAUbvlzX0/4e8Paf4V0a20vS7ZbWxtwQkYYsSSSzOzMSzuzFmZ
2JZmYsxJJNYZXi8Rj5yry92nsl1v3ubY2hSwsY0o6y3bNGiiivojyTyX9pbxTFpnw7uPDcZR9Q8U
LJpaxnBMdqyEXUxGcgLESqvhlEssAYYavn25uYrO3lnnlSCCJS8ksjBVRQMkkngADnNdL+0x41tL
f4zWljLeR6hJZ6TFb2en2TpLPBczz/vllVTmHzB/ZwVpyqHI2nl65rQ/AVzrt1c3ni21tprNtgst
FLtJHEm3LNcjPlyyFiPlIdYzGCjEksfmMxbqVuWWiR9DgI8tO8d2ZMGq61d+DfFdnplubVfHzWfh
+z1SCRJpI7RZ3WWQ2roA6NDLeyebHKx8sxMEQK8i+nTfCLRNWea48QPc+JtVeeOePV78xxXtr5ew
okEtukRhVWTdhNvzO5OSxzzviLOh6z4BTTNJlvRbaq8cGnaf5MbbBp14oVPMdEAUc4LDheOcCutl
1jxvpt3Et74Ih1C1kRz5mgazHO8bgrgOtylsMMC3Ks2NvIGQaunUnKnFLRIqVKMZybV7mWnw41Hw
1eahdeGtZaRL6YXVzY6+0t55kixJGBHcl/Nj3LGoLSecBhdqgAq3kv7S2l+Jovh5qut6xbeHdMsI
tMvNGnjk190hukv1S3SJ5JLRFhzObf8Aes6IgDF2VCWX2m9+K+h6bZz3d3beILW1t42lmnm8Naii
RooyzMxt8AAAkk9MV598c/jR4ETwZBA/iKx1TTW1fSZtXj0/N9CulLqlmL8XXlB1WBrd5EdZMK6u
yYbJFXTp3qKTWo6lVqk4KWnY+tPhV4Ct/hf8OPDvhW3XT/8AiV2UcE02l6ZDptvcT4zNOlrCBHD5
speQonALnrXV0UV9CfNhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5Vc/8AE+/an077
P8n/AAivgy5+2+bx5n9q30H2bysZzt/sS737tuPMh279zbPVa8q8B/8AE7/aC+K2twfJaafZaJ4U
lSTh2ureO51B3UDI8ow6zaqCSG3pKCoCqzgHqtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeLfEoJ4
T+KkOt6nNDbaZ4hsrLQ7Od5AAL2GS8mELA4wZEn+QjIJidSVYxh7dbnxp8e6b4T8L/2TLFaalrvi
JZNN0nRruA3Ed5K6YYzRLybZA26Zuix56syq3I+GtLuND8OaVp13fy6pdWdpFby302d9y6IFaRsk
nLEFjknr1NfO5hCMZ8yerPYwc3KPK1ojSqH4SfE/wt4X+AHwzmvtat2a40Czht7az3XVzcyQwxpO
kUEQaSRo2yHCKSmCWwAcTVm6X4a0jQ7y/u9O0qx0+6v5PNu57W3SN7l8sd0jKAXOWY5OfvH1NYYb
E/V1LS9zavQ9tbW1jmvi98VNU8beFYXsfDE1h4Pg1izlv77WpHs75oYLxG8+O2MbeXCGSOVnmZG8
pJcxplZBl+ItbtZLPQm+0XjaFqd5Et3qOjW8926WexpWKC3DSYlEYhEiEFPPDg5UZ9LrzTwdB/YL
6p4XIKx6HOsFkH+VmsnRXtyAeSqAtbhyTva2ck7twHZSxLrS95bGToqnG0Xud/40+Ong/Rfhdq9r
4G1yzk1+30maHSNG0W1NzdWc6wMIEezRGaBUcIhEqKqHCtgnFea/DzQrWDS106wk1jwXqekERjSN
K8Q3b21qAzeTOkTEQypIF8wl4mV38wSBnEgrY1PxZpWk6jHp012JdWmTzIdLtEa5vZk5+aO3jDSu
BtYkqpwFYnAUkZ/g+5mvPiZ4knl06/06OTRtMMK6lbNbSyoJ78b/ACnAkQbgy4dVJ25AKlWboxFS
Uocy0sZUqUIS5W73On0vwnpuk37X6JcXmpNGYP7R1O7mvbsRZDeUJpneQR7hu2BtuSTjJJPkGoaL
P4V1e78PaWYfM0Q2GraILks0aIku+2imI+Yqs1q6nHzGLZ8xcs1e7V5/8X9PFvp+n+JIwfO0mYRz
kAkGzmdEn3HoioRHOz44FuRlVZjXmU6kue7ep2uMUrW0PpTwZ4ssfHXhXTNe07etpfwrKIptvmwt
0eKQKSFkRgyOuTtZWB5FbVfI3wI+Mdn4W8W+KYViuNR8I3UNnfyX2mwPdGK7fzoTKiRozzRsltFG
xiLBHiHyczOnrNt+1B4X1+wgvvCml694wspd2650+xFrGmDjhrx4BJkhh+737Sp3bcrn3liaajeU
ku540qE1Llirnifj3Xob34oeIfEHjPWLEf2NqM+jaLM94o0+3h2hj5AYKBOQTHMSXbzIJEBCLsHj
XjPVbX+y9V0nwg2meIdC0h7LXv7Ps7yGNrCJJrqW7e2lQh0OUhBILFBOQoAZQOt8f6Dq+i3s/wAS
L3S9M0vUNZ1N/wC0NJhu/IstMjumto0kklOVZ1aFTNIkYLvOzfdQZ6L4c6T428La5LpOoWNg3huQ
zXq3MV35rQyyyu7xq2yNiNxyFaM8Ox835RGficdiIwnKupc2ul327f11PqcLSbhGnaz66d+5a0P4
oeG/EWrWulWGox3epz2/2k21r/pAhXuJJYt8SkHg/P1Ixncuasmsf8Iv8U/LvG+xaRrtpDDbytH+
6m1BGkBUuGwkjRGMDcv7wRqAwMYU8r4jGu6d8dtU/smS3utYutNR9P06aN/szQSeXHJNK6KBE0cl
sGZ2LmRPKjXawXGr8LdMvXj8TW3iG5sNeudQlW7mn06Rp9PeCdCUhBYfMwTkggnypLcbioQLjy03
T50/iSduup7FOvOpNQa1T39P8zrfF/xK8O+BhLHq2pwW94lnJepZmRRNMidkDEAsx4VSQWIOM7Wx
037OurL4Ot/AN7Pgad4i8Oabo9xM/SC4iiaS0OSQFRzNcRHOS0klsqgbmz5n430/QPCHhHxDY6X4
bjV77Sbue5t9GigtXNtFHiSVnbC4TzlHR2+fKo2Grr/Dfih7rwxBZQaB/wAJT4NtrJNPl1rT0t/L
vWQNFO0dkp5gXy2BCZZiwWKORTur18rpqhFzgnr36ni5xUdWapya07dD7Bor5T0f9pe7+H3g2fWb
yQ+INBtL97C5s9b1S3g1fTXhkKS26Mu5LtxGhkVJJBKwUkyymVdnvvwv+Keg/F7wwmueH3uvs2US
aG9tnglgkaGOYIysMH5JozuQsh3ZVmHNfWRmpq6PkpRcdzr6KKKskKKM0UAcv4E+GXhf4Z6ebPw1
o0GmIyRxSTAtJPMkeRGskzlpHCAlUDMdq4VcAAV1GaDRSSS0QN33CiiimB88fGK1utN+OFpcukL2
Ws+HVjidZD5kcllcuXDLtxtYahHghs5jbI6Gsuux/aR0iMXXgLXhHMk1lq0ljNdJI6xx21xaygpI
Adu17iKzA3D7/lheWweOr5bMY8ta/c+ny6XNRt2Zw3j9L+z8U+CdSttau9HtFv5LCeS0s47ho3uI
ikMoMkcixnzFWLfszi4YblDHPVSeKfEvgDULCbUb1/E/haaTy9QvbtIYbzTSxULOTGscTWy878qH
QEvuZQVXH11Z9d8Y+H9DijjlsIXOrakxkIKLCR9mTAU4LT7ZBllyLaQfMNwrS+LP/JK/GX/YFvf/
AEQ9eNUxU6VWnBbdV6s7/ZqSlI9drh/iteXcmn6J4et00mODxTqI0K61DX7I3unWccsEzL9ogEkQ
lWeRI7RUMiAyXcYyxxG/WaLpv9jaPY6f9qub77JBHB9qvZPMnm2qF3yNgbnOMk9yTVHxp4TtPHPh
bUtDvJri1jvItqXlkwS5tJQQ0VxA5B2TRSKkkcmMo6Iw5UV71OSjNN7HJUi5QaW56b8PfBVj8NfA
HhrwjpktxPpugaZbaVay3bK0zxQRLEjOVVQWKoCSABnOAOldARmuH+CXjm++JHwq8O+IdTghh1K7
tyt09mjLaXMsbtE9xaFmYvaTMhlgkJy8MkTn72K7jNfSI+U2CiiigAooooAKKKKACiiigAooooAK
KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo
ooAKKKKACiiigAryrw9/xbn41eJNNv8A57T4hXp13Tb/AO4kd1bafZWkunvngytDai5i2ks6Jd5R
Bbb5fVayfFPhbS/Gmg3Wj6xa/a7C42llWRonR0YPHLHIhDxSo6o6SIVdHRWVlZQQAa1FeaeCdWvv
Bnj+X4c6reXGp2b6YdW8OanfStNdz2scqxXVrO5LGRrVprPE8hDypdxhvNkhnmk9LoAKKKKACiii
gAJxRRXLePfih4W+GNnb3HibWrfTPtLiO2tzukuLptyJthhQNJKQZEyEU43AnA5pN23BanUA5FLX
zd4j/aH17xpp0UXhrTL7wZazIkj6jqYgbUF77Et8SxIDlcvIxYYdfKUlZArftKeK9L8M6nDd+FoN
Y8Qi2k/s690lkjtJJ9rFPtEE0yvEgYoD5cspYBz8nyrXL9bouXJzHR9XqcvNY+j81BqGoWuk2Fzf
XtzDZ2VtG009zcSBI4o1BLOzHhVABJJ4AFeI/B/9qmy+I9xHBrGgv4bF1eSWdhqMV/HeafeMr+Wo
WUBHVncOF3xhWwgDlpFQ+3ahp9rq1hc2V7bQ3llcxtDPbXEYkjljYEMjKeGUgkEHgg10qSktDFxc
d0eH6Jd3niu4HirWIpotQvUf7HaXKGNtOsnfdHB5Z/1cpURtNyS0oI3FI4lTarntc8LXHw4+IWja
Nouqz3Wi6zHdajPZazJcXs9skEcMT+TdSTswBkmt2ETo33p28wfIldDXymKjONV871Pew8oyprlQ
UUUVyHQFcD8UfBWha3P4e1S+0m0udRi1zSbQXTxjzGt5r+KCaBz/ABxPHPMrRtlCHORXfVm2Vj/w
k/xQ8M6Vt8yz0tZddvRt8yMlB5VrFKvRS0srTxs38VgdoJXcnVhU5VopGFdpU22es+GvCGheC7CS
y8P6Lp2hWUkhme20y0jt42kIALlUABbCqM9cAeleN+N9A8ReBvFPjDxVcWenXXhPUNQtrya5hvZP
tlpH9ltbVneEw7PLRojI7mUBYgzY+XB96PWlr6mpTjVjyyPBhN05cyPEa4LVfiloF1qep6NNpt9q
ujW0hsNW1aO0E2mWkjRuzxXD56Kq4kbaUj3qJGXJw/xSLrwf4j8faD4A0uCYafcadPb2MVkIbOxa
aOIXFrDGXhjYrEn2o7ZEBe7wcHJba+E8mhL4MgtfDs+pXVhZzzQSXOrQzx3E1x5jNO7mZFZnMrPu
IGA25RjaQPnKsFRbT1PajUdRJo88+IfjzREtm8T6bpl+8+m+U/8AwkVrp7sk9skoee2VgN8kbw+a
yyMv2bcyN5qsAy87qvxRvvE/jS30+x1i+8JWDwslpbSWlut7qEu6UtL5cokaOFUhypeNCxc5PAFd
Brng+Szk8feBNH+x2mlXWkLc6ZbLCYks3uxdRyRkgnKebE0gwo2+aVA2qoHmeveEzY6BBpXw58I6
tpPiO0m+1pM1kkUcbrujdJri4+Sb5LiYL5byDjKnaMnxZVoSqyp1bXWz6Wezdz1adOSgpx27db+R
rX/xqtdR+CSDX7maXVJ5GstRi+xG3M0Mdwy3ELsT5UVzJaxyN5XmK+XGwDcley63rdp4d05r6+aR
YFeOL9zC8zs8jrGiqiBmYlmUAAHrXB6B8JYrvwxoa61c6hHqEOrxeJZbZZ0aO3vSN0kCcECESM52
gk5JO45zWt42mX/hKPDkWoz6xDoEe++nGk6c935t1BcWstskmyGRlQ4lPG3O3Ge1eHiHRxdaNKGi
u7/8D7j0aSqUKcpy3srf8EzvE/xH8Fa34RubPU70zS3kSwzeHLa5K6o8jkD7IYYnEglLHy2TPXcG
+XNQaVaD4d+I5NM14aBbahqwSdb/AE7bFLcOcAR3WUQNM8jTeWygCURykJHtK10niP4hy6jdQXa/
Du88ReHLB0vI7yZEjvVnRZD5lvZzqr5Qqq5YxuTJlFccnK8UQ/YfCsp1y1sNc8Ua6EtzFdxedaS3
So8iRbWA220W2RwvBwrN80rkv10/Z4dezhrzPa97f5ExqVJT9o9LeW5j6v4mvv8AhLmuNCSYzW1o
+lRahFEskQlmuoDc8scK8MVuzKxVoy5KN86eW+wnjnxz4dU+Wmn+L7SOGQiO8f7DetJkFf3iIYnz
86geXHj5MscMTztrNpHw80vStEjV47WG3YhwgxHFHtEk8pAAA3SJuYDrIWICh2Xpa+jhUlRiox2R
5NWKrzlOe7Nrw74m8C6/43tpZNDg0jxvcJJJG2paciXkgRArBLlQySERkZWORiFJBA2sB3/7K+kS
eET8QfD15JH9qGvNq1rBDkpHps8SRWgXgBQotZYhGPu+TgDaULeIeKjbpoVxJcahDpHktHNDqFwV
CW06OrQyHcQp2yBDtJw2MHIOK9P/AGZL3WfiRrUPj5Dpllbx2s+g6t9h1RrmK/lhlLI0cC/LGAXM
iSyN5gSaRfLZZI5h7ODquo72PGxVNU9LnsXxc+J9t8KPCg1N9PudY1G6nWy03S7QYe7umVmVC5BW
NAqO7SNwqox5OFPiviD4k+OPGLsJ9WXwrYMpQ6doLB5HRgAwku5EDknBKtCsDJvI3MQrjW/aV+x/
8LQ+HP2nyPO/s7WPsvnbd3m7rHOzPO7Z5nTnbu7Zrkq87NMbVpVPZU3Y9bK8FSq0/a1FfUwbrwtc
R3smr6V4g1zTfFAjjig12XU7i7uI0jcyJE3nSNvgLkloW+R+4yAR9L/DX4t2Pj+SWwnsptE1+3jE
smnXMiOJUGFaaCRT+8iDnbkhXXKF408xN3g1VtRtrmWJJtPvG0zVrZjNY6hGu57ScKQsgGRuHzEM
h+V1ZkYFWYHz8HmVSjO1R3iz0MZltOtC9NWaPr+iuJ+FPxRsfij4dS7SJdL1uBQup6FLcxy3Ony7
mUBwh+4+xmjcgb02sAM4HbV9umpK6PiGnF2YUUUUxHjn7Sniaw/4Q2fw1Abi/wDE0z2mpWml2cO9
pPs93HOolkJEdujmBlEkjDO19iyMmw8PXsnxQ+G3/CwbPTpLO/j0jW9NmaW0v5Lbz02OpSSGRA6M
8bDa20OvzxRMc7MHwT42eDdJ+Gdpphh+JGqzeJEvraQ2V89uzpp8peC4maKCKNEjQMZvPuEeNXtl
UY3sG8bHYedV8+lkj18FiIUVyu92yl8Ml/t9tS8Yma4Met7IbO3mi8tYrOB5VhdQVVj5u95st2lV
RwuT2l3aQahaTWt1DHc206NHLDMgZJEIwVYHgggkEGs4vpXgXwzDHkWOk6bBHbxLlpCqKAkaKOWd
j8qgDLMSAMk15vq/i3W/EV7ozar4OuP+Edh1CSS80611aNrq6gEM6RpNETHCyM7RM0fnOpA2kMM1
8HGnPF1nNaK59JKpGhBRe56d8D/HVr4t8B6BbNc31xrNpounzXzahazxPIZIiBKHlUeaHaKX51LA
7Sc81b+KPxE/4RCDS9D0iS2uPHvieV9O8M6XcI8i3F1sJM0yId4tYB+9nkH3Y1OMuyK3F694l+FX
xSvPO8ZeGZLCKPzLe11nxDY/ZUljAljP74NugT5yUE/lEtIjIC4BXrv2UNCsb7xx8U/G2hX1teeE
NQm03QtBawkkuLSa1s7d53mt52leNoxcajc24jgCRxm0Kgbt+PtsNBVp6rY8OtXdKnoezfCfwN/w
q/4WeDfBv23+0/8AhHdGstI+2+V5X2j7PAkXmbNzbd2zO3ccZxk9a6uiivfPACiiigAooooAKKKK
ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
KKKKACiiigAooooAKKKKACiiigAooooA4n4seCb7xf4egutBlt7XxloMz6r4cur1mFtFqAt5oVW4
AVi0Ekc8sMgClhHM7RlJFjddbwB42sfiN4N0nxHp8VxawX8IkazvVVLmzlBKy21wiswjnhkV4pI8
kpJG6nlTXQV4/wCG9Th+DHj/AFrwzqiXFp4T8Ran/avh/UzbSNaQXt7K5vLCWZVZYma8bz43uHTz
X1MW8KnyAtAHsFFFFABRRRQAV8l/F/wjdeAPjDcag8cdzo/jFmlt70RStcW93DGpa1mlIYMjJ5kk
W5htVJI1UIiV9ZnpXkf7U+iLqXwgvdSj8oaloN1b6tYiW6eDzJY5ArQqVB3PNFJLAqEEM0yjGSCO
fEU1VpOJtRnyTTPFKwfG1zNFoYtbaV4rm/uIbFGgYrMqySKsrx45DpEZJAeduwsQQprernNJ/wCK
g1281OT57KxlazsEboJE3JPMBxhixaEZGQImKnbKc/JUIc0/Q+ik7qxrW2i2Npo0WkpbI2mxW4tV
tpf3imILt2HdncNvHOc965rwNNf6Obzxhp/ivWtBhuIUFgE1Ata2enRBxCBFNui8so8kipIhWES4
VUZdxt+LrqHV7iDwtHKjT6ihe8iDDcliDiViOuHOIQQQw8wsufLONnwppun/ABR8Q2CQ/ZNb8MWL
ST6hIAlzaXEnllIrVh91zmTzj97YYY8geYjV1V61SLUIO3VspQptOU1e2x33w6bUPHElv8SvEP2U
69r2j2MUNvaRr5NhaiPzPKjcqHPmSyPKwYnBZEywiDt3VFFc1So6snKRlCChFRQUUUVmWFP+BDR6
zqnjzXvKmYvqy6PbXUkTxrJbWkKAogIAZUu5r4bwDk7huIVQKGs6b/bOj31h9qubH7VBJB9qspPL
nh3KV3xtg7XGcg9iBXyhoAv7CXRpbPWJ11/wff8A2W2aa/uru3spbdxFNBEjTBkt5UQoYwU3Rsm4
cDHdha0MPLnn6GNShPErkh6n6MEUtfC3iLxv4v8AGGtSapq3ivVraZ40iWy0G/udNsoQueUijl3F
mzlmkdyTwCFAUdr8Mfi/8UNX1bXdJbxPpGoJZR213Hd6zonmz7ZvNTy/9Gmt02qbcsCUJ/eEE/KK
9iGYUKknFPY4p5ZiKcU2tz2jx/8ADInWLvxd4ZsoTr88ccepWa7I/wC1oowRGN5wFnjDMEZiFYHy
3IGySHwu8s/H3gzxXL4Mmsl0K31uZ9Vs9V02WC6iskWQSX4jaX55t8k0IUyQIUe7mwGjhQtc1/8A
aE8UXHiJfDkfiY6hdxljcS+AvDqM9nKNypDcy3M1zFHvZXXaUUhlBd40BLcZ4s1nVtF8Trrvii+h
tvEMqwvb+Ibq5jSzkjiWJX05pCq7PMAkYqI9hdpLhEVh5ceOIqUHra7Zph8NW+1okWfEPh7WPhUl
/wCIdPt18UWNpaQPd6lrN+8+rxW6MDdJGzqA8ZRPNWPzEAkaQgEFUHod206WszW0cc1yEYxRyyGN
GfHAZgrFQTjJAOPQ9K8+8RfEofFXwRe6Z4O0w6nFq9i9pcajdXUcFvp7TWxYo+0u7yoJIwVRSuWI
LgqwGf4e+Flz4T8Pw2uj+K9Ws9VSzS1k1CTy7lZdm7yh5UyuEjjLvtjjKcMQST81fM5hlaxLVSDS
l1v1/wAj28NivZXja8fyOU8O6RJqOnRX2q3uoTeIiZIb6/W9kiuElWRhNbrJEy4hWUMBGh8v5QQD
94+rfCnVp9Z+HehTXf2g30Nv9ju2unDyNcQkwysWBO7Lxsd2eQQe9eYeMNFtvAtpJ5finWZbue6S
WRJvs0dvCbm5w01xMLN1gQu8jAsADsYLnGB6LovwXtrXw6NG1fxBrGt2EiyNcWhlSzhkllZmlb9w
qSbWZ5P3bSMuHwQcKROJyqpiIJXS1/DyNYY2EGrRd7ana1wfjrwRruqeIrDX9B1WGO4tofs0ul6i
mbe4jLgttkCl4WIOSVDBjHEGGErU+H+rf8Wv8N6lqV5/zB7a4uby7l/6YKzyO7H6ksT6k0y78fiG
1v1j0XVBqsWnz6jZadc2zRvfxRhcFCobaWZ0Xy2AlXcN0YyM/JUIYihWcqSvZ220PWqSp1adp9dT
h/C1tqd78Q/EN1q9jFay6VBBpkBtr5p4Szr9omKgqmCVe2BJT+AAE4NaMvhy68PH/imrayFo/D6X
PKbeCJv+ekRRH2Z/iTbtJO4bW3+Zw/wa8Yab4f0e28Pa1ObTxBcXczNc3nyNqUz3Fwhk+bEhbMBQ
+aqtkIuMsoPsFfbTc4Oz/wCAz5yCjJXRsfAweBdUvrPUPGes6fZeMo9SMGn+Gr+9NusUiSlIpIop
Nn2wyMFkSXYVUhBGFkjdm+mbPQNM07VdQ1O1060ttS1Hy/tt5DAqTXXlrtj8xwMvtUkDcTgHAr48
1+2v7ixik0qS2i1Szu7bULQ3iM0DTW88c6LIFIbYzRhSQcgEkV9aeAfFP/CceBPDniP7N9i/tjTb
bUPs3meZ5PmxLJs3YG7G7GcDOOgr6XA1o1adoq1jwsZSlTndu9zzL9qHTX1fTfAVpHe3GnPJ4kOL
m1EZkTGm3x48xHXnGOVPBPQ4NePXUmveGv8AkL6f/atmP+YlokDuR/v2uWkXkhR5Zmzgs3lit3xn
8ZtN8c/GGCK7s7fxT8IdPePT723vPDw1ON7429xP9tttiPKVCtaxB9pjdZ3K5GHPZj4canc6Zpmq
/Dm5stc8L6rax3ttH4i1O6imgR0DKyTNDNJIjhg22XDIdw3FWVIubG4VYp80LO2h14LFPCrllpfX
yPOLXXdNvdOiv7fULWexmcRx3UUytE7F9gUMDgkv8oA78dau1H4w/Z1s/C/gvxT438Z+E/DXiXXS
hS20zSbd4reyWeZ4prqecvEbllimSZpJPJEZgZleIkyjj/Gvwql+GHgq38SeLfEmu6n5/l2+uXGl
6ncQRaY8nyLdW0YkG5RIyhoyj5LhkSNUMR8eplLgk+bXsexTzZTbTiXtW1bWPCfj/QNZ8PXdto2q
XEE1gdRls1ufPUPFOLORCQTE6QzsWUqylBtddxD+86B+1D4Wmmt7XxVHN4IupiI0uNVljNhNKEZn
WO5ViqqNh2mcQs+RtXO5V+VfHOja54V8V6fYatfWuuWOvobCx1q/tzGdOkSR5gjrGUUyyfuVV43i
YtArbcxjPSeKPE1t4B8JzatqLXV7BZLGsrxqhmlLMqbsfKuSWBOMDrgdq68NXq4WMae6OTE0aWKl
Kpse4fAD41+IfiP4mvLO/jhvtGvLWfWrC7jtzFPY20lyDa291tZkZ3ikwpAX/j1lGZTlx7zXmP7P
XhC68L+AWvdQhmtdT8QXR1i4s5lKNbB4444YmRgCjrBFCJFOcSeZg7cY9Or6Snzcq59z5ypy8z5N
gr4Y0K21C+07VYfFMyaxrsl/e2usXUpEqXk8c8kEjfcQGMiPailRtjVExhRX3PXyz8Z/Dc3hP4t3
N212l3B4tSXUkhEJRrNrWGytmUtuIkDhlYfKu3aR82QRwZjBzo3XQ6cJJRqWfU4PStP1N47L+3L/
APtJ9OBgscljtQZRZpCxzJcOmA8nAGWCBQzl9eiq+o6laaRZyXd9dQ2VrHjfPcSCNFyQBliQBkkD
8a+TSvoj3dtyxXdfsdfEXVR4Y0j4Ta34bFnq/gjwxpkU2r6ZfrdafPAENtASZFimSaRrS5byxE6I
sYzKWYLXiniTxFrv9ni40K0ZbmbMdjp95psr3N8+QrMYy8Rt4UZlDSy8fNnAGwybPgC78afs03Xi
rxRHPoPjTR9W1Bta8RRSaa1hqot4rYRqlpcLK0biKOFBHBMg3F5C1whctXs4CoqErVHbmODFQdWN
4q9j7izS1z3w/wDHOl/EvwZpPibRndtP1KASrHMAs0DglZIZVBOyWNw0boTlHRlPKmugFfTHiPQW
iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKqatpNjr+lXmmanZW+o6bewvbXVndx
LLDPE6lXjdGBDKykgqQQQSDVuigDyr/hHvE/wd/5FDT/APhKvAsfyxeDLVYodR07dxtsLieeOA2y
ELttJdnlrJJ5UwSKG0rv/CfinS/HPhXRvEmiXX23RdYsodQsbny2j86CWNZI32uAy5VlOGAIzyAa
1q8q/wCFb+JPhj8/wwuNPl0U8yeDfEl3cizQ/dQWN2PNbT4lUj/R1gmg2wxpFHblpJGAPVaK+f8A
4j/BTxx+0X4V13QviFdeH/DOg3mjX2nW/h/RZJ9Xi+3zIq2+pz3EiWvm/Z8yGO0MO0SBJvNMiReT
6B8NPijceL9e8S+Fte0b/hHvGfhv7NJqNjbyTXNlLBcq721xaXUkEP2iJvLljY+WpSWCZCCFV3AP
QK8z/aI8Hal42+Gctpo9lc6lqltqOn30FnbXYgMwiu4nkB3SJG4EYkIWQ7dwUj5lUjxzTfjN46+L
Pw6tNMudNksdT1K+066m1nRjcaVb2umNDa3b7JTI0ksjsZ7bELcYJcxjAfsdI8Vap8KYbm8gXW/F
ehBGkutLlvJL+/RgOJLV7iQs5OArQM4BADR7XDJNw1MXRUlTb3OmNCpbnS2PGfFGneNJvCNhfaVp
t1o2parL9nsdI1CwX+0XQLm4uWilmiEEcIwoZ94kleNcKjpJJN4SlsZ/CujSaZC9vpr2ULWsMpy0
cRjXYp5PIXA6n6muu1z4mjxH4q03UYpkm1bxZLcQeFkukdoLTTY41czHG04lVFuCh2SM0sULsBCH
jzb74AaPZeDzp2h3erw6la2qx2c9xrt6sbSRgbBIqSbQjFQrCNVwrNs2naR486tGjLkitPzPZw8K
s4ubOG8Rh/Gev+HfDtjFYOt9qTwi+vXw0ckMMskj26gbmMeza7oUKs4jWRHLPD7z4G+HXh/4daab
TQ9Nt7NpcG4uY4I0luWyzbpCiqDy7YUAKobCqqgAed/BnxPpniLxTaXVtbxWsN74Vsp9Mt4F3wWy
rNKt5DFIFCKUZrRHUbSdkeV+UY9ormq1JS02Kik3zBRRRXMaBRRRQAV83fFGB/CHxH1+81aS1s9M
1gx6hZ3bzgAiOG3t5UcEAIVYREEnDCZcchgPpGvNfjTpRhTw94phtILiXQ73bcyzEgw2U48qeRTt
YLsPlSsx24SKQbgrMC7XTTNKc3TmpI8Ta01nWYV1OX7b4U8MWKzz6heXUCpdyxIj4MMTLIQoK7mE
iKxUrtzk11nw8+EF7a6N9t1HWfEOhanqawf2nplpfrsHkuxWJJi0syodzZKTgsHb7mdi6PxKSK/0
Oy0aUXEg1nU7OwaC28wNNE0ytcISnKr5CTFjkDaG5r0yoo1GoXSsek6anP3nexFaWkFhaQ2trDHb
W0CLHFDCgVI0AwFUDgAAAACuF8daRr3xC11/C2g3n9kjT7FdZmvnjjZWuhIfsEWW3FU86B5HIjb5
YVUEbzXf1xlt4x/4Rv4n639n0XVtfku7DT7MLpMCskUkbXsriWWR0ijISWE7WcMfNTAINdOHtz3f
QjFXVPlj1ON+HGs2d54h1W3sINQt45LKzub2C8e4ujb6kVYXMElzKCTJHH9lQoW42kBQQ4HTXviy
A61/YWlLHq/iDYZHsIriNDbp8g82ck5RMyR9AzkNlUfBxxPj2y1LwVqmt6l/wkT6Bq/iWO6vtN8K
eHtLF8s1/HDGGbzzbkuH2q7gxx8yMd3ysx0dC+IkXw4gh8F/2bBqGvrBNLZWFlrX224up/8AWyfa
ZJY4vJZ/MMu4gggSYAIRG9FuMveR5CcoLle5r+CvBBkutc0i81a81KxtblBqxm2qdWvpIY5JTKuD
ttxE1qiRRlBhZEcOv3u98L+JrHxfo66npsnnWTzTwxygqyyeVK8RdSpIKsUJU55BB46V5BoUIuNB
l0JGlFp9okn1yW5hihudTvpcSTLKkeVSIbwNuT5ihQCYQDNQ8SaPd+HdJ8Q3XhzWtR0O51ZQhs7F
oxFcXkn7qNxvRjE7u6KzoydAxII3VjLFUlLkv8zphhKrp+0sHg7wu1xpHwmZta1cx3xsxc2zXW6C
RYbU3cKiIgomx7WJdyBWKl9xZmLV7b4x8Hab440R9N1JJAodZoLm3fy57WZeUmicco6nkH6g5BIP
FX6RaX4r8CwLafZNItbuQLcQqiwwSfZpIIIWXI2K/nMFYZ+dUTGZAR6jXj0p80FJdW/zPXp00k4P
y/I8Rf4aeJdK064i1OCHxNYapcm/utN0N5LWWyvC8cu6CWa6X915iSOcFGDuCFwxC51jb3ur2lxH
4b1zXtH1O1hhul0fxLZNsTeWISVpovOZWMcilklbac7TgAV7/Xmut3iD4luL4x6ZP9l+y2ERYK2p
x4WV5M/xmJg6iMfNGDI54nXGzl7ra6f1sYzoRjb+vxMG08RXXirwXZ3OmKdM1jVXi023S5U4s76a
ZbZVkDLnbHO+GO08ISFPAPr/AMSfiH4CvPhnp/w98C+ItO1eZ1sbWDTtHvPtqrp0Fzbi4SeRCwWM
2+5CJWHmAlBvJIPyTrvgXRNd8TX1+kl1p1prscGo2nh+3upHOup5yyveXW1iLaBhIyruIcEFlTcv
lP2lnolxDam2NzDpdnv8z7F4agbSoGfGPMby3MjPjg/vNpAX5cqDXoRxFPCU3FbyPFlhKuKmn0R2
CS2uh/F67ikgjtn1/S4WgnBjX7TNbPKJVPO5nEc0JHB+VDz8lbPwW+Pvi7w2fB/g2507S9e0yO+j
8KWsdhaz292qQSmA3TtvlVwsUEkrrtQYBO8bcN5z4Q8AzeP7q1j8CWd/f/ZJt8F3pl88OladLjaX
LbjbqwEuXjVHkZZGPlOGbP0X8Af2Z5vh1qVv4m8WalDrPiqE3wgjt0R7W1FzN5jyK5iR2mIypdRG
u12QJ1ZunBRqytKN0tL36mGLdKnFwlZvW1uhz+o/DfQdX/aH8a2uv+D7LW4RZWup2ep6nZwTFRcF
kkiZmld5V32rGIugMQEsa7YvKD+heL/Cen+N/Dt1ouqRCWzuCjEFEcK6OskbbXDI210VtrqyNjDK
ykg3fjfohhs9E8X2NrqN3rWgXkUSQ6ck85ls7meGK8R4IgWlVY8TAAEq9ujcgMrc5bfEC5u/tVyn
grxeujW0gifVJNHdNzFVOUtGIvHXLhdywEZDHO1WYd9aEue8Tz6U4qNmcB4O+CujePJviX4H1Wbx
BHrOlTJcaVrc+qaiYVt7pGls5BG12Vme3mjkTOFDeQmfm345jxj+zb8R4rQf8JFJa+JtDsxdxeZ4
Y+W+mjkgaFbmW3kT7yxtOTHA8jF5UCo4Xn2S3+EmrfFHXrHxHrWq6l4W0qzdv7Ls9HkudN1Sa2fy
TIl3KsvyxytFuMIjSVVWIl43DoPa7Cyj0ywtrOFpnit41iRriZ5pCqgAFpHJZ2wOWYkk8kk1r7CN
SC5lqQq8qcnyu6Pl3Qvjb4/ezeCw8S6Hqq2sjQTS6xojtfRyjlopxDPAqSLnBTykZQAGBbJPUf8A
DR3jD/oRdE/8KWb/AOQayPjNx8dNR/7FvTP/AEq1Cudrwq+Mr4aq6aldI+gw+Dw+JpKo42b7M98+
DvxMvPibpWtz3+jwaLd6XqR094ba9a7jf/R4Jw4cxRnpOBjb/D1Oa8e+L/hW68b/ABf1Z7zVL3SN
T0S3t/7FS3lL2zWU0bFpJYSSreZcpOjgFHK2cOCmA7r8LvFMXgP4kC6u+NM8QRW2kTyhSzQ3KzsL
MgA8I7XM0bHDHc0JwqiRh6F8ZvDVxpeq2/jbT7S61DZbx6ZqlhYW0lxczQmbME0caBi3ktLMWRQC
yTOxLGJEbrxFSpi8C5UX73+W550KUMLjOSqvdPA5/BvxHMTQQv4WWRHlK30j3JEygP5QNuFHlkny
wx819vzEBuBU3gjw/pF9p2k+JF+1ane3dsl1Be6sVeeFZEzhFUCOElGCt5SruwN24816nZ3kGoWk
F1azR3NtOiyxTQuHSRGGVZWHBBBBBFedaXLD4Y1XxTpt3KltbWdy+qxzTuB/o1yWmaR2+6AJxdqA
cELEuRyGb5XBYqVaUoSVn/Vz36+HhStKOxT8L24tvGmtnVrWAa7Pme1vEO8PYbgixRsyhl2eWjSR
gsoeYPn94FXC+Ll7/wAJBq2l+EEXfaPt1PVdyZUwI/7mE7kKnzJVyRkHbC46NWzZ6snh7w/f+MtZ
tbsXt8kQFlDAxuFhMjC0tREOfNJmwwJP7yRxu2BQvHz+HfFvhtdT1aTw+2qwX97cX88dpqHnX8aM
GaNTCwCEoixRbI5W+6NoavQ5JTk5wW35nPRcOZKbsjU8MfE8fs8eJJfGEk93H4OvblG8W2kMUt0B
F5QiS/ihXJWSErB5jJ963SXcsjxwbPunT9QtdWsLa+srmG8srmNZoLm3cPHLGwBV1YcMpBBBHBBr
88NV+JfhrQ7i3tL/AFRbXVLmVYLfR5IpBqM8rMqpHHZ7fPd2LptVUJO5cAgivpf9irV/FsvwiTQf
E3g7VvDOn6BcS6f4fvNUjEDX2lJLIloptnCXEDwxIkJE8YLhI5A8nmMV93LKlVwcKiemzODOKVGN
RVKTWu6X5n0BRRRXtHzwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF
FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5h8
YvgPa/GC9sruTxX4g8K3EGk6jocr6ELI/arK+NubiKQXNtMBk2kWGTaw+bnmvT6KAPDv+GZNT/6L
R4//APAbQf8A5V0f8Myan/0Wjx//AOA2g/8Ayrr3GisPYUv5F9yNfaz/AJmeBw/soXMGrXOpp8ZP
H631zBFbSy+RoXzRxtIyLj+zMDBlkOQMndznAxzOoaNrPwd+KulaDrPizXPF2geKrJl0m91iztVa
01G28ySe3aS1tYU/fW7rJGrZP+h3JzwBX1Ca8a/a2sp7T4NX/jGxihk1XwLMniq3M0rRjybZXF9G
uFYF5bGS9hXcpAaZWypUOuFfC06lNxUVf0OihialOcW5Ox4P8UPBep6Dr2jatpDwWejWV7Nq76pN
atNJpU7Sq8oLJPG5tp98vmAhwoLFiqbTF03/AAk/j7/oMeG//BHcf/Jtei2d5BqNpBdWs8dzazos
sU8Lh0kRhlWVhwQQQQR1zXnOvfCePw9FPqXgaGPSLlWa5uNDgjUWmpFYtqxKpIW3clVAlTAzy6yc
Y+coV4fBVXzPoKuHd+emL/wk/j7/AKDHhv8A8Edx/wDJtPi8X+O7SQSyT+HdVRetmllPYmTt/rvO
m2Y6/wCrbOMcZ3DN0HxDBr0G5ba90+6VEklsdStXtriIMDgsjgEjIYBhlSUYAnaa1K9L2cH0OH5k
3/CyvGH/AEKmh/8AhQTf/IVH/CyvGH/QqaH/AOFBN/8AIVQ1i+LvGGk+BtEl1TWbyGytEIQNPMkQ
dz0UM7Ko6EksQqgFmKqCQlQpvTlBya1uUdF/aD+IPjXxBr+l+B/g/J48XQJks9T1HRvEdvDZ292Q
S1qJbpIRJMi7TIse/wAvzEDFWOKTSPj7r3izUdT8J638O7Lw94iihlN74W8TapLDcvbCV4DMq/Y2
juLd2UgSwvJG24Ddk4r379kixjt/2bfAF+pYza9pq+JblSRtS51Fmv50T0jWW6kVAckIFBZiCx7v
x38OvDXxO0VdK8UaNa6zZxy/aIBcL+8tZwrKs8Egw8Eyh22yxsroTlWB5r0PqNG2i1PM+tVL6vQ+
FvAniw6d4giu/iDpsugzeHrdbDT7q7c3pAuHCme4uEUrGSqQxiZiiuxuMH7yR/QNOP7GOn23iT+2
dO+JvjrTLhIHsrdYzpVwYLVnVxB5txYSTSqpVcPNJJJwSXZmYt5hH+zD8VvAWmrptvpnhP4k+GdP
tZJpNOl1SXSjq10cP5iWL2s0EDk+YohNz9nLlJQLcjC+fWwE73hsezh8yhCPLMuaB491L4m3bL4V
sJIPCzoV/wCEsuT5ZZwRvW3tnTc5GdokcBAyvkPs2v1Gu63onwq8Hy3UySRWFpHI6wQBpp53CtK+
MktI5AkdnY9nd2ADMOW8OfE7xDq2gTa/N4eaSGEEX3hyGGe31nS5BGr+S8NwkZlkZXSTaywkIylP
ODoWkudV0698GNrOtWUmsah4oaXRbPTFLqYYpWcfZHKAm3KpGWuX5ZXicZYRRIvmqHNPltZLp1PT
9quTmvdvr0ONGgWuvaLoMl39h8W6/wCJNU+yT6rZuJo47eSSSS8ggmkctHAlslzEojYHuAGY1vaN
4W8LfEHRbue006yh8IXkj/2bZaVi0jaMosck7iEqRNIVdDk7liwhVC0ytqfB/wAL+D/hlYXNqujW
fhvWra1ae7vbi589ri3UJvmW6dUJjBVDIgVAj87Arozz/DJzcfD/AEC8kO651C0TULl+nmTzjzpn
x0G6SR2wMAZwAAAK627JpHnSWifc417f+0PE2o6O+pyWPifS0Tyrwwqp1GzKho3kjICyIsjMjGMq
QyvtMQlK1T8N62vivxl4fhltbizlsoby9lRonCJdRbLZ4llKhJVU3EwJTPzIpyBwdP45ajoK6U0F
yJ28R2tpPeWVzYO6z6YjL5Ru3MbBxCGdd4UMWCk7GCNtxrjxBovw88eWXhy0j1HW7rTNLIihtpFn
uXe5maa6luZJHVQcw27DJXm4OAQy7fLrUOWLceq27dzvo4pytCXf7/8AgnaeOJ1FvoVoFkkubvXN
NSGOKNnLFLqOZzwDgLHFI5JwAEPNepV4Ff8AxKu7TX7XW18Hazdwabp94Y7R5LXLXTeV5TgLMxBC
LOm5VLASkBW3EVr/AA7+L9699LpGum58QazfRnUrH+xLZJoRCViXyQVwUXzWfbLNhNpXdLkHGWGp
OFFK+urO91Vzts9mrmfiZPoFt4B12bxRbx3Wgx2rPdQSEAygcqqElf3hbaEwQdxXBBxQNR8Z3g82
18L6dbQN92LVdZMVyvY71hgmjHOSNsjcEZwcqON8Y6Bq+n61b+INQ1y3fxO0Hl6JotjZRvBA43mV
pJZg8nl4lRJZovILKqADe0aVvCcIyvKRnWrXg1BXZyPhD4a+OdGii0e5sLCS6YyTX3iOW4XyZ5GY
YcIo82aTafmMgj3GM5f5g1bFhb/DRIll1XxRZ+NL/q1nDc/a0kyOVSwgLCRVOWG9JHUDJc7ARYvL
HxL4sFhH4pvtGvNNRS11pFpp0ghnkKjbuZ5m3hG5AZNpzkruCFOgrmrY6lTleCu31OOFGrONpuyX
QqRX+uat4f8A7Evr64sfCiSM1n4ehlKeTCyhfs88iN+9iADYg5iUStH+8RItmv4H8S6r8Kpt/hqO
OfTCpSTw9dXTw2JBJIaHCuLZwxLExptfc+9SxV0p1neJNY/4R7w7qmq+T5/2G1lufJ3bd+xC23OD
jOMZwa4YZhipVlNSd+3Q0lhKCpuLjodXqP7TXxF17SNH1Hw5pPhjS5dXkSDT9N1H7Re/aQd0nnm4
VoPLTyFeTYYi2Exne4Rffvhx8R7L4haQJFifTtatoov7S0icOJLOVl5UFlXzY9yyKsyAxuY22k4O
PlDQ9Am0vxJ8O/Dy3cclvoun3F28xhIedoII7RQPmwgIu2c/e+6B6mvTLuyme6t76w1C60bVrYMs
GpWPl+dGj43piRXR0bauUdWXKo2AyIy/XVMzeHrKE9U/wPCjgFVpuUNGfSIOazfEPiHT/CmjXOq6
rcraWNuAXkKliSSFVFVQWd2YqqooLMzBVBJArzbR/j7baZarbeLtM1Kx1CMBftmlaZPfWl4R1eNY
BLJFxtJSYLgsVVpQpc8frHijWPiXf2Ooa1pP/CP2OmXMs2naS06TTGTEkQuZ3T5QxikZRCjMq+Y5
ZpGKeV6FbH0aVL2ikn2OGlg6tSpyNW7mL8S/E2o/E5BqZ+H8cr6at4ujXcfiq506+MTsu1zAbUxh
pBDC4iuNyqcK4GGFcloN9FLaac8Gpzazpuq2Q1bS9TuFiWSe3d2DQyiICMXFu2IpVjyATGx2mTYv
plS/Dr4W2HxT+CtnDqsOpaJJJfajfaVrenzxR3TWd7dSXKSwsN+1JIpowUlUMGQNsVo43Hi4ecsz
U4zSTWz/AEPXnbLpRcG7PdHi3jm6vNf0690DwzI0/iQNERLazpGdMbejpcSuQfLKnDqFHmHbmPBU
un0NH+0ppX/CMWr3Wl3Nh4vuAkLeHbhvlguHKqgkulUxLCzN8sucvtdURpUaEeWQeE9R+Dl0NG8R
2mjafa3s/wDoGtabI6Q6pOzsu2US5ZLoosTFWkkaTLFXfY+3N8ceMfDtvZ3mj3F7YX+tMY47fRRf
LFdS3LFTbquDviYuYysnGzh8gLkdVP2mDi6cV8yKyp4xqq2dx4R0H/hFfCmi6L5/2r+zbKCz8/Zs
8zy41TdtycZxnGTjPWuR8Y2Fn4o8e6CscQnfQvNmu5wxMaF1Qx2zLnazMwiuAeTH9niOB5qNWpqN
9feB/Cmk6el3/a+t3MyWFtNdhiryEM7ufm3FYokkfDvvcRBTIztuMPhjRT4d8P2GnNObua3hVZro
rta4l6yTMMn5ncs7EkkliSSTmvjcNTam6zfV28/M9yvNcipJGTe3Can8TtG07bJLHpthcanIBGwS
GZ2WCBi+MZKNeALnnBJHyqR2NeTeDNP8XNJN4wsLzTNXj8ROl0LHU/Ot5YLHa7WsKyoXRSgkUsoh
5Z5Mu3DGz8Qtb+IFz4J8V6bpfhSRNdudInj0m/0TVoZEjunikWMs0/kMhV/LbIVhz1yMV9VTjGKU
LnnJSScnFntP7L/hy48Rrf8AxT1OCFU8QW8UHhhFk8zytEwJY7ggqDFLduwldAeYorJXVZImA99r
ivgje+HtR+C/gG78I2FxpfhSfw/p8ukWN2xaa2s2tozBE5LuSyxlVJ3tyD8x6nta+ojFQSSPlZyc
5OTCiiiqICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
APlT4RaNH4HtPE/gCEu1t4M1yfSbQtM8qpZSJHe2UKs5LkQ2l5bQEsScwtyRgnuLy6SxtJ7mRZGj
hRpGWGJpXIAyQqKCzHjhVBJ6AE1ofFb9nCL4jeKtR8V6b4z8QeE/E02lWmn20mnyRmzjltZ55rea
aHaGnXN1PG8LSeW6SH5VkWOVPOdMtfjXc+L7vwbL4Q0RZ7NXlm8czXMsGjy27uq20tvagSSyz484
yWjSxhDBgzhZ4ZG+ZxWXVJVXOnqmz6PDZhTVNQqaNI5/W/EsXja2stRuPC+q22nRpvttV0++ha/g
3gMZVjhd0lt9oVim+QuyKPIcAGsyXxLPoegT67ealpWveH7Zgl5qOnf6HLYScZjmtppGIK5GVD+b
udUEJPJ6NPhD8Xvhf4esdMs9B8P/ABD0vSYbe0S60nVG0zUruIbELJZXCNArICchr0BxGWG0sIxy
HjC71dbqe11r4d+OfDGrSW0eCfDU+uW11DvYoHfSZJ1V43Uun72OaJirLhXYP2rCypK0Njm+tRqa
yepe8Y+N4vC99omlwwxXWs61ci2sre4uBbxEgrvZ5SCFADDAAZmLKqqSeJvh98D5PjT4yabxBcxa
jZaFLDa65cRr/oZnXy55NLs4XzujlRolu5pdweJzAgzLKLbhPB97pniuWLwn4J8YxfEfxl4ht7fR
ruYS2l2uj2say+bf3duCGEMXmSZSUlpJXhhLhpNw+4PhH8LdE+Cvw40LwV4dFx/ZOkQmKOW8l82e
d2ZnlmlbABkkkd3YgAbnOABgDspUdeZnLWracq3OvooortPPCiiigDzb4n/AzRviHqsHiS1kbQfH
VhaNaWHiC33nEZcP5F1CHVbqDdu/dycr5kjRPDIwkHzHqfw2Xwz4osL7xx4RbwP40mZYIvF/hnNz
o9zcSnDFJihWJ5GmEQ+3QxvJJLshMxUPX3KTiqmraTY6/pV5pmp2VvqOm3sL211Z3cSywzxOpV43
RgQyspIKkEEEg1xV8LCvrtLuv61OuhiZUdN12Z8fa3Y6n5dtF4k8PR+I7a0uYr2HUdGXDQSRMHEr
W7v5iFegETTM4DjaNwQ5OgeJ/E/xBvLyfS7jSdF8PQzT2Ts0cs+prLHMyEtG4RIGKYcLIrlcruVg
cD2fUP2RdH0bRfsnw88XeJvh/JFbmK3gS9Or2IKriBWt7/zvLij6eXbPb7lO0t8qFOc0T9mL4n6F
py2kPxO8JSjfJNJLL4Iui8ssjtJJI2NVABZ2ZiFAAzgADAHnLB4iKabT/rsd8sVQlqk0cPN8HtEW
TUJrG51PT7vUUEV9cm8a8a7jClQki3XmowxxnbkDgEAkHlT4M0jwr8JpNdN/M+qt4pez0x7u4COi
G8t7KaBUTZHIrRWTOqeXiNQAoHl7j6r4r+GHxo8HaTez6fbeGviPIIGaFdLV9Gu1mIKoi29xPLFK
gYqzO11CQm/arMFD+N+KvEsMnxB8IeAp/CeteF9W8G6C4Np4pkszcyWsogihuYGtpZUmBNvJG7IQ
FJIOCQpylSq0qc3U1NaNSnUqRUGbWk6NfeLfEdto2n3As0CG5v7zyvMMEH3QE/hWV2PybwVxHKcN
s2n27wt4R0bwTpMemaFpttpdimD5VugXewULvc9XYhVBZiScck15t4B+GEus+ELLxnp9xLp/jC4N
xeadcmXFvNbOu22t51CsTbSIkErJ99Xd2UxsSBbn+M2p6pdXmm6R4P1Kx1C0u2srufXWhihs2Ee/
fsjld5vvRlQu1XDgiRRzXg18POnBWenU9mNeNSbvv0Ow8V+ObLw0wsomjv8AXpUD2+lJKFkZSSBK
/Uxwgg5kII4woZyqNwttbTG5uL6+uPtuqXW37RdbdoIGdsaLk7I1ydqZOMsSWdnZixsRZLKzSyXN
zO5muLqcgyzyEAF3IAGcAAAAKqqqqFVQBZrw6lW65Y7fmdcYu95BRRRXOahXPeP1+0eEr6x+7/aZ
j0vzOvl/aZFt/Mx32+buxxnbjIzkdDWJaafD4u8Us9zFHLY+HrgBIJlDF70xRyJMPQRxy4XOctIx
wpjRm9DAUXWrxXRas5cTU9nTfnodL4IT7b4w8W6hnZ5BtNJ8vru8qI3HmZ9/tu3bjjy85O7A7auP
+FyCbQ9SvnGbq81i/M8n9/yrh7ePjoMRQRLx125OSST2FdmMlzV5f1sZ4dWpRCiiuZ13xNqkGvpp
Gh6ZZ6ncx2ou7t72+e1S3RnKwgFYZC5cpN0Hy+Uc43LnmhCVR8sTeUlFXZs6X4f/AOFm+MrvwbcQ
TJoMWnLeazdKyjzopneOO0T5tymURTlpAPlSMhSryK6fSQOOK+aPhl431D4fa1r+p+JvDEtzJqsl
ui3vh+6F4LO0hQ4jljdYXYLJJcSgwpLI3msu35Iw3uHhr4oeEfGDRx6P4j029uWdYjZpcqLmOVke
QRSQkiSOTbFKTG6hh5UmQNjY+9y6nTpUFGNr9T4/HSqTqtyWnQ6DUNPtdWsLmyvraG8srmNoZ7a4
jDxyxsCGRlPDKQSCDwQawdA+GnhTwvpGr6TpPh7TrDSNWkaW902C3UWszNEkLgw42BWSNQVAAPJI
JYk0fid8UtK+GemQfaGW813UBLHo+jIW83UbhIy4jBVW2JwA0rDZHuBYjIz8+eIvip8RLv4iQ39x
qknhGFIBBpulWixXemXbcSSiWR1EkznYvG23dUWQREjzJD018VRw+lR6nNSw9WqrwWgyDwefCXjz
WtGuJWkh8PH7DocRiMXlaXMkUqYBJaTDJ9n81id32Ls/m7qnxP8A3nw98QWq8z31nJYW6f355x5M
SZ6DdJIi5OAM5JABNeq6/cWnx2+HE2vaf9o0TxZ4Xe4/cxRm4CXQtg5tXKRPJPbSh4JCsSiRgIiA
kqbV8X0jXI/iJqmibTb/AGOzs4dXu4be5S4ia4dpI4YhImUlWN4rhmPGJI4GU8ED57E4ZU6qqw+F
6nt4Wq6q9lL4tjuLS0gsLWG2toY7e2hRY4oYlCpGgGAqgcAADAAqWiuZ1HTvFPxH8XHwL4QS1tl+
yQ3XiDXJ797afSbKefyla1UQyebdSRxXxizhI3tgZOGRXwpUpVpqMdz3q1WOHpuc9kelfsg6hPF4
N8aeG7iCNJPDvjDU4RcRSlxcJeMmrK2Co2FV1IREZbJiLZ+bA93rnPAvw78N/DPRW0rwxo9ro9pJ
Kbi48hcy3c5VVaeeU5eeZgi7ppGZ3IyzE810dfZQTjFJnwM5KUnJdQoooqiAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooABXh37Sv7Nl18eLzwvqOl+Kx4X1LRVu7SWO600X9nqFjdeSZ7eWMSwyKS1tARJHK
hUBxzuBX3DHFLSaUlZjTcXdHz1rXhf4rfD+wOtahf+H/AB/pkMiC903QNAutNvoLcsPMuYQbu7+0
tGuW+zKivIM7GLqsUnn/AIuu9Mu/Hmm6loV5b6hZa5o/264ms5VkhcK0YtbhSnB86OSUByTvW2QK
cRmvsWvh+78EL8MvjR418Lpdy3FhFa2Wo6LbnZ5VhpU8t2YrNQqLtENyl8iRgFUtxaoGJVgPAzal
GGFlNL+rns5fWlOsoSZtUUUV+dH1wUUUUAFZuo6RLNdLfafevpmpKgQzoiukyAkrHMh++gYk8FXG
5grrvbOlWV4r8T2Pg3w9e6zqLOtnaIGcRLuZiSFVQPUsQOcDnkgZNb0JVI1E6W5nUjGUXz7G98IL
iRvC95a3SJDqNrql99rt4nLrE8s73KKHIG4GOeNs4H3sEAggdvXkHgL4jR6H4P0y3j8Oa9f3UiPd
3xSCK3WG6mdppolW4kiYqryMAQGXGBvYhq0b/wAfeI9aVo7Cwh8O2r/8vV5ItxeBcYIES5iRsklX
Mko4G5DuIX1qlGc5ts5ac0oJI6nxp49svBJ0yKe2uNQvtSmaG2sbNohNJtjZ3fEjoNqheTngso7i
s34WalY6v4WN7bXsWoX09zK+pzRq6lbwn97GVkVZFCfKiLINwjSMcgA1wjW0za5ZaVa3V5da7rL5
m1G53TPHbxkNNIWIKRhQ7CNAojEkygIFZq9g0nS7XQ9Ks9OsovIsrOFLeCLcW2RooVRkkk4AAyTm
u2lTjTh5shuUp69CLXdag8P6Y95OkkoDxwxxQgF5ZZHWOONckAFndVBYhRnJIAJGDo3w8tV0Hw+u
q7/7e07zLltT0y7mtZku5gxuniliZHVZHkkJUYUggbQAAJVH/CSeOvWw8Of+PX8sX4EeXbye6t9r
7NFx1dcOKrypyUYOzWp1UqUaibmrozdG0Z9LiDXWpX+uagYYreTU9VmE11LHGCsaswAGFBPAAyzO
5y7uzT6tpNprmnTWN9CJ7aUDcuSpBBBVlYEFWUgMGBBUgEEEA1borzZ1Zznzyd2dcacIR5IrQ8/8
HeEvGvw6vrnWfD3imFdUV7qGLT9SjkurK6szJK9vFcuWEzSIXXEof5BuUKwZzJb8RtdT+KZdag8F
23gy5vkZtQ1PwzNHqkE7iXd5l5ZtDbSykLLcMHt3MrNgMsoCLXa0V6dLNK9OPI7OPZo4JZdRcueN
1Lujn9ItPG+q2kF7aeDk1/TLmFZIL7w9q0EiBw7pJDKl39lkjkQphlKHBJU7WVgLnhi28YfBfxhr
nxI8Q+HLO08H6vZaVpWprLqgOo6PFBdXQ+2SRRxvbtApv/Mlc3KiGCB5SWOY1twaxrvge5vdY8Li
Ge4mUSXmj3A/c6iUUbdrblEM5VRGJvmG0jekgSPZ6zoWs+FP2jvg686wzah4R8VadPZXNrcb4JGh
kDwTwsVIZWH7xCyN1GVYjDV9Zls8PXXtaSs+qPncwliaf7qq7rozu6K8/wDgR4p1Txb8M7KbW7r+
0Na0291DQb7UfLWL+0J9PvZ7GS78tAFi89rYzeUuRH5mwFgu4+gV7h4gUUUUAFFFFABRRRQAUUUU
AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABRRRQAAYr4Z+JOh6Z4K/bA+IVzdw2Ut74i03R9Wt9TXTGW4tllSSxazkugWHls
2lxSIrbMvMygMQDX3NXyV/wUB8AIfC3hn4g6HohuPF2nazY6LNe2nlxTT6feTG38iWZpUKqlxPDN
E22by7hIm8sKZHXjxdD6zQlSva504ar7CqpmdRXk3hTXtZ+KVgl1rCz+H4LCUwSWOm3rwyzXKhll
87biSNQSu2LcDkEtuG2t5/Aug3B3XmmxarKOBNqpa9lUf3Q8xZgvU7QcZJOMk1+bSwns5ctR6+Wp
95Scq0VOC0Zqx/Erw08syvqiW0cQQm5u4ngt2D7thWZ1Eb79jldrHcEYrkKSNzQNM8WeNI4bvSNH
tLDQ7mGKa21fVbwZnjkyRLFbxBmZQmxtsjwsdwX5eSLH7OGn/YvE3xDYzXd47Xdri5uFlZY1MbSC
3WRm2HYZGYIiDYsqZdy2E9yr0VhKMNbX23PPlVqNtN2seUQfB/xFPKqX3jC1S1P320vRvIuB6bHl
nmQc4zmNsjIGCQRzPxr+BOnf8Kl8R3kWt6u+qWFjPevdXlx50d0scbMYnthtgHygBWSNWVlR8lgd
3vteN/Ge61DVfEaeGby6mtfDd/pjSfZ7VxG2oESFLiORx86oge2wFKbvOcHeuVXsowjGScUl8jnq
XkrNnN0VkeE764vtBsxfPu1WCJIb9CArJcBF8wEDgZJyCOCrKVypBOvXPKLTaZ6MWmlYq6jZPdrB
JBN9mvbWZLm2uAufLkU55AIJVhlGAILI7rkbs1MnxjuoIbfQb7TTb+OLyJY7FIIJJ9Pu52yDIrr8
yxR8PKH2sq5xv4JkrO17Rk1qxEYZIbyCRbmzumjEhtbhDmOVVPUq2DjoRkHgkVrTny+7LYznFvWO
56poGiQeHNGtNNt3kljt02maYgyzOeXlkIA3O7EszY5ZiT1rQrifhl8RR400mCLUYDp3iGONmubJ
reeFXCuUMsXnIpZD8jYGSnmIrHJGe2rwKsJwm1Pc9KnKMopx2CiiisTQKq6pq1jodhLe6leW+n2U
WPMubqVYo0yQBlmIAySB9SKtV5v8W9AZXs/E5jW/sdJQveWVzM3lRRh1f7ZGh3L5sKiU8KHZXYBs
qqttRgpzUZMyqzcIuSRz/iHWdZ+Kf2yyIm0HwaZRE0UkTxX+qRruDhiSDBC52jbt3sqnJQPiuy+E
fj8fDPxvPHa2F/ceFmszFqltpEKPHa3IMAt5TGWBJWBZQywhpCvkgowEWOe1PUGszawQQi5vryX7
PawM+xXk2s53Ng7VCo7E4JwpwGbCnp/C2gjw1osdj55uZPNmnll27Q0ksrSyFVydq7nbAJJAwCSe
T7dPEPCNSgvl/mcFPBfXrqo9O/8Akd78KPip4KX4/fEbw1p3i/QdWn8UTWHiXTnttThZrmU2Isri
zhRWJlaCPSI7h2U5C3igooUO/vtfFnxP+G9j8TPC11p0sh0/VUQyaXrcAZbrS7tWV4bmF0ZHVklj
ifCsudgBOK7/AMGftK+J/CWoarafFfS4bvTSySaV4j8FaLe3EcoKjfb3FjG1zPFIGDssql4mXAYx
OFWT6fCZnSxOkvdl2PBx2T18J70fej3X+R9K0Vyvgb4seCPif9t/4Q7xj4f8WfYdn2r+w9Ugvfs+
/ds8zynbbu2PjOM7Tjoa6rOa9g8HYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArjfix8JvDvxo
8IS+HvElvM9uJVubW9sp2t7ywuUz5dzbTKQ0Uq7mAYHkMysGVmU9kRmigD80PGsHi74a6hoFn4g0
We1+L95LBpEdoCi6d40AuY7VLiK4QCKNz5gn2Ntmgj374jEFY+hT6J8UNM0iS/1H4L+LYUt4DPcr
Z3uk3jIFXc4jjivWllIwcKkZduAqkkCvu00V5tXL6FZ3mtT06WY4iiuWD0Pkb9nDUbu4g8YW+qaJ
qfhjVH1ODUF0nW4VgvPsk1jbCG4MQZiqO0UyDdgh4ZY2CvE6r7HXnX7RPjC3+Efx78C+Ibmyuo9C
8S6LqOk65qkMEs0cb2W27sAQiPhlSbVCFXaWVpXbcsA29/ZXtvqVnBd2k8V1a3EaywzwuHSRGGVZ
WHBBBBBHXNeJi6HsJ2W3Q9PD1/bR5nv1Jq+d/EXj65+L8/h+5s9KvND8PWezVoLu7kh+03Uzo6Kg
jRpFWLyZJNxYhyXXbt2kn6Ir5h+HX/JPvDH/AGC7X/0UtYw0TdjotzSSH3/gjSNR1SfUXiube9nV
Emmsr2e2MoXO3f5TqGIBIBOTjjoBUZ8CadAPMsZbzTb7vfwXDPNJ/wBdTJvE2BlV80PtB+XbxW9c
XMVrGHmlSFCyoGkYKCzMFVee5YgAdyQKwtQ8faJpfiiy0C5u/Lv7vcsZKnyxIApERfoHYOCF64K5
xvTdSc3ojZqC1ZVg+G2lW13c30U+pRarc7Wnv0v5Q8rqMK7IG8tsdkKbB027eKmbTPEGlf8AHnfQ
67G3WPVSLeRT6iWGPaV4HyGPOSTvwAtdDbXMV5bxTwSpPBKoeOWNgyupGQwI4II71JUtt/Ergopf
DocPr1xZaxYPp/inwzeNC2QAlo19E7YKs8bQhnTAb5WdY2w3ABBA6z4beOtVm8I6gLXSdZ8d2WiT
PbHW9NntJ2uUWNJQpUzI8kipIqHarFyuc7mKi5XP/DHUI9b8aXep+ANW07T0jsBPqLx2yywXstxJ
mHz4lZGZ0EVw3Lo6NIvJDSKYnTpSg/aLRCcqkGnB6nrWka1a63bvLbGZTG/lyw3MEkE0L4B2yRSK
roSrKwDAZVlYcMCb1cNrviy7+I9v4f1HwNFZW/jV9NtL3UUunEtnbWtxC0sVtdsro5OSzxsiOylT
kRpOxboIvCPiXWl87U/EB8Pn+Cz0BIptvY+ZPcwt5nQEbY4tu5gd/DV5NbAuErJ6eZ2UcYpxu1qb
NVdW+w/2Vef2n9n/ALN8l/tX2vb5PlbTv37uNu3Oc8Yzms2D4d68JrhZ/H2rPa7w1uYbKySdQVUM
srmFkcbgSu2NCNzBi/y7fPtW+H0XizxvJ9u8S674j8P6bGsM9rezxLZXl0sjExtFDFGjiEqpYkMG
dghIMLoYjheX3pTVl2ubxrOq1CEdWP8AhnoOoSOdd1aGe1LRy2+mWV4xNzb2jzF1845P7xkW3Uqx
Zh5OS253A7+iipqTdSXMz3qFGNCChEKKKKzNzA8VfD7wt47+y/8ACS+GtI8Q/Zd/2f8AtWwiuvJ3
Y3bPMU7c7VzjrtHpVfQ/C/iXwdHc2fhT4m+LfDOhySiSDRLf7Bd2liBGkYithd2kzwwgINsKMI0y
QiqDiunorqpYqtR+CTRx1sHh6/8AEgmcN4p8BeIb3Sr270P4j+N9O8ZD/S7TVpvE969v9sVhIrS2
Rc2hhZxh4FgEexmVUUbQPqX4M/FGP4ueB4dZk02TQdXgmksdV0SedJpdPu4zh42ZfvKwKSxuQpkh
lik2qHArxOsLw9c2vwm+M2l+OoIphaeIGtvDGtWVpM0a3M11d2sFjetHny5JIHPlEsA/k3EhDnyk
if3MszCbqeyrO99vU+czfK6fsfbUI2cd0ux9h0UUV9efBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
UUUAeNftfW8N9+z/AK9YyLKt1qF5pdhp91DM8TWN/PqNtFZXgKEE/Z7l4Z9ucN5W08Ma4ez+Enh3
TITBp/8Aa+lWm95Fs9N12+tbeMuxdgkUcyogLMTtUAc8Cu2/anuVu/CHhPw4gIvtf8XaQltI3+rQ
2VwNVl3nqMwabOq4BzI0YO1SzLHXDiNWkehhlo2eCfF34Y6LoWv+EvENpNrA1eS7k037ZLrd5JMk
TW08vyyNKXUgxkABguJZMgkgjmbbwTp1nbxQQT6tBBEoSOKPWLxVRQMBQBLgADjFerftD2Sy/DWa
+iEh1TTry1uNNMWeblpVhRGHmICjiVo2ycBZGOCQBXD181mEpwlFxlZH1WWwpzjJSim7mRF4Wslb
bO91qEAVgtvqFy90iFlKuw8wscsp28kgDcABvfcyw8F6Hphl+zaXbxiWBrZlKbl8ppHkaMKcgKWk
YlRx0HQADaorx3VqPeTPbVGmtoo4rWvhjpgCXeiWS2OpQzpNEIL2a0iUEoswXyjiMvEhQsq5PGfW
mWnwz0/WrhNa8QR3lzrkspulMl/LmwyxdYImRwAsZOAR1OSMAgDuKK2WKqqPLzGLwlFz53Ffocxr
2grZ6Heh9e1K20cRM99b3Ehu0lhA/fAtIGlG6MMvyOMdQM5z6d8H9ETwZ8O2v9Ugj0a51Ga41vUV
nlYCAysXxIXC7CkQjVuAAUPuTwzWNt4u8YaJ4Vmt0vbeZv7S1CJjGQltAwZdyseVebyUI2nKmTpj
I9O+I9yq2GhWYWSS5vdf0xIIoomcsY7uOeQ/KDgLFDK5JwAEPNRUqTqKNKT3f4HDVjCE5Sgtl+Jb
+C2gJongxpxon/CPS6ne3F+2nmBIGijaQrAGiQ7Y2FukAZRg5BLfMWJ7yiitZS5nc54rlSRzfjTx
TLoMdlZ2CRzaxqLtHbLLlo4VVSzzyKCGMafKOMZeSJCyb9w5vRNIi0LSraxheSZYVw085DSzOTl5
JGAG53YlmbuzEnrVQm8n+IviH+15I5L20ihTT0ijKolhIWZXALNiRpVljcgjf9liOxRtzsVz13Z8
iPdwFJKHtOrCiiiuU9UKKKKACsbxH4u07ww1nFdO8t9fO0dnY26b5rl1UsQo6AAdXYhFyNzKDmtm
vJfBni+x1ex1TWtb1JYta0kSwaut9JHHHpOwkyom35Vh3IW8wliwRd7sYwFtK0XO17fqceIr+ytF
bsv6V4n1Lx/fazJZazdaHY6de/YUgtLaHz/MWGJpVmaVZVJWRmQeWAPlJ3OCCGa9oPjDUH0UWvib
S5oNL1O21RU1rRXuGuZIH86ETG3uLfhJ1ilHlhM+SivvUuH634ffCn4o/FjRIfE1rq3hjwR4c1CN
Z9IgvtMudXvLy2Z3MdzKFntVtvMi8l1h/eOochyrAoNPXP2e/jTo+3+x9c8B+LfNikDfbra90L7L
INvlsNr3vnqcvuX90RtGGO47fWjl+YRkqtJJdlp/kfLTzLDTvCpJu++9jtvh3+1S+reKbbw3488J
v4K1HUJ/J03U7O9OpaRdMfLVIWujFE0E7ySFFSaJFdtqxu7sEHv1fK91+xjrvjS+06z8f+PNO13w
dHJK2o6HoWjXujSalG9vNEIZLlNSdhFulWQoFwxjUHgmvqfoK+xwzrumvrFubyPksQqKn+4vbzFo
oorrOYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigAooooAKKKQnFAHzD4bvLj4hfELxZ461G5mlW21HUPDOi6fJtMem2
tndtbXJQhQS9zcWpldiT8iW6f8sst2leafDnxJpHhfwn4gutZ1Sy0i1fxt4oiWe/uEhRnOu6gQoZ
iATgE49j6VuN8X/BTLi28T6bqk/8NppU4vbl/XZDDvkfAyTtU4AJOACa8qpL3m2z2aSSgkiT4peH
rvxR4F1GysE82+RobyCDIHnyQTJOsW4kBd5jCbjwu7ODjB8w8PeE/Ffi65v4bTTrLRxYXS2V5/a1
1ungkMUcu5YoQ6SqI5o2A85CTlSV616RZfFfR9Xh36XY6/qTs7wxrDoN6ivKrFDH5kkSxoQ6lSXd
VUg7ioBI0vhdoupabper3+sQ3Ntqus6rc381tdNCzQR5ENun7klOLeGDPzMd27JNcGIp06iUpK7O
/D1qlNuMHZM8o8Y/D3xF4Viso4/FOkX2pXkyJBYrokqM0YdRNLn7WcLGjbiTgE7EzukUHm5vESaN
rcWi66bTStVmQPBGt4kkdwC20eWTtfOSBh0Qkhtu4KTXrXxDmS8+J+iRRHe+n6PdtcjGPLFxPbiH
r13fZZ+mcbOcblzk+A7eHWvEHj2O/sPtMX2i300yThGhmthapJ5BTPOGuJmJZeRMBlgMLyvC06qt
axosdWpVN7o5OitDxB4J1jwrLI9jaza5oa/MhikMl7bLySrI3MyqAcMrNK2VXY7Au3KXvjLS7WCw
kgnbUzfyGO1i0xDdSTbT87IqZLKgBLEZwB6kA+PUw1SEuW1z6Kli6VWPNexoeE/GNt4C8Va1d63Z
6u0Gqz2tnbXttAlxbxRJGTGpSMmbe00sy52MCWjAxXqPg2aHxn4lPiqzmjuNFtbWbTdOuIXBF0zT
L9qk4zlA1vCiHjJWY4ZTGx8l0u0vtTla6jeay8V3VnINE0WcRGSxSRAovbmMhjGVYSAsSQEbywpk
co3eaJd+JfhJaWthc2o8WeFUmCfbrC3YapbCSSQmSaFARdctHvkTbIcu5Rzk1vKnCDTbtNo8idTm
m+XWN/6+R63RWR4W8XaL420iPU9C1O21SxfA822cNsYqG2OOqOAykqwDDPIFa9ZNNOzLTT1RwvxQ
sf7OitfFqEv/AGJDMl1E33TZSvE1xIO+6MQrIMbtwR0ClnVlSuw1bR7DX9PlsNTsbbUbGbHmW13E
ssT4IYZVgQcEA/UCvMvC1k3hiNvCc3+v0aGNIGB3ebZFnS2kJ/vlIirjC/PG5ChChbOrHmhzdV+R
6mAq8s3Tez29TdoooriPdCiiqGu61B4f0yS9uFkkVWSJIogC8kjuqRouSBlnZVBJAGckgZIaTk7I
mUlFOTKGvTz6tqNv4fsppIJZ0FzeXUTEGC2WRQUyvzK83zohypAWV1bdEAeE+O3wz1vWfC+sW/g+
2Wc6toFx4dm0pRDFFHGYJxbSozMuwJJLtZRuyj8LlRnvfhwg1Dw3aeIJvnv9bhjvpJG5aOJwXhgB
/uxI+0YABO98BnbPQ6jdSWOn3VxDaTahNDE0iWlsUEs7AEhELsqBmPA3Mq5PJA5r6rD0VRgoNep+
eY3FyxNZzT0W3oe3/CX4j2/xR8E2Wr/Zl0zVo1W31jRTN5smlXwRWmtXbau4rvBVwoWRGjlTKSIx
7IHNfnV4J+OXiu0+OfhDxfZ+EfEWn6JeXGn+HNVsJLJ9MhaDULxYbaW+mvIkkuJ7WVyRa2kLpGbh
2F8ySyRt+ioOa+nhLmjqfNyVmFFFFWSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAAOaKK4H4g/HLwf8MdVt9M
1u71GXUpoRc/Y9G0a91WaKIsVWSVLSGUxK7JIEaQKHMcgXOx8TKSirsaTk7I1/iF8QtK+GugDUtS
E1xLNKLWx02zVXutQuWVmSCBGKguQrMSxVERHkkZI0d1+Ubb4QWXjhX134s6XoHj3xtfHzbu7vdM
iuLaxBAxZ2QlQtHax8hVPLMzyPl5HJ6m3tLrxX4+1b4ga7YLZazqFvHp+n2MvlyTaVpqHetu0iZU
yPIzzSlCV3MkYeVYEkber80zrOpV5+ww0rRXVdX/AJH2uW5bGlH2tZXk+nY5/wAM/Dzwr4Kbd4e8
M6PoJ2GPOmWEVudhYMV+RRwSAceoroKKzdc1+DQltFkhubq6vZ/stpaWkRkkuJtjOEH8K/KjEs5V
FAJZlAzXyalVrztdts920Kcb2SRV8KR3WgfFJdOttRuTo2q2F9qT6W6x+RBcJLZrviwgdd3myOw3
EF3ZsZJJ9Srg/A3h7W18U6lr2uWVrYpNZW9rYWqXRuJ7dQ8rzb/kCRs+6AMsbOpMC/MwVTXYazpv
9s6PfWH2q5sftcEkH2qyk8ueHcpXfG2DtcZyD2IFfoeFjOFGEKu6R85VcXOUobHjOh3F1q+teJ9Y
vpY5bi51e6tIgiEeRb2srW0cQJYkjMTynGBvmkIAyc1/hVcLo/j/AMb+H1v5NSWaSHW98iM720kw
aN4HkBKgKsMJjQ7W2NxuC5EmiafqHg/WtQ8KakzTQ2eJdIvmt4oFu7IhQFCxkLvhY+W21EABibaP
MGZfg/rGkQ6h4t0C1ltob621i4uTbMBFdzLIsUrzOhwzKJJmjWTGCiRgFsZPqQ3Z5Et1c9LrhfFP
hHUNO1jUvE/hu2tLrU7q1jjvNMnAhN+Yd/lFZxxHJiRgS6uGCRrmMAtXdVj+I/FmneGI4hdzB724
DC00+JlNxdsMZWJCRnG4ZY4VQdzFVBIrR6MpO2qPNvDet2ngmXUdX8Y6Xq9jr17eSLHdTaYbzyrR
5gltbxzWqSKi8R/ui+4ylmwd6lrt38ZH1W+bT/Duj3DSG7+xNqOsAWkET/Z/OJELkTyMFKny9ibh
k71A3VifEr4rRP4X1XS9V0m7s9d05bTV1gswbq1uEiuPOAWfC7Bi3YMZFQjnYsuAG0ta8Fabqdy+
oW9ra2Ouh0kj1VLZTOGQjAZhhmQhQjLuG5Cy5Gc183j40qM1N/a+5HvYGFTEQai9vxMhfhhpk+ry
azeiGbXGl+1R31tY29uba48xZfMjCx5Yh1UjzjKcAglg77+28OePPEWneKdI0TWVttXs9Ul+zWup
QRC3lhKQTyuZ13EO7CKPBjVFyZCQmEVud8M6rqU91qOma0tqNUsnVxJZBhFPbuW8qUKxJQkpIpQs
xBjJzhlzgXnjO8k8Zpd+GijQWentZXOrsC0cZu5bSRFtQEf7ROY0BRApXdLFncTsbkwsq9Wt7OTu
vw8i68adGHMtGe9Hxjon/CRjQRqlq2sYObNZAXQ7d4VsfdYpl1U4LKrsAQjEcT8XLt9M8QeG7zTo
mvdbSG7iWwNtdzLLaN5JmcG2t5mVlkW1wWXbh3HUgjH8B/ALxDq01rL44uvsmkwiG7XTbLVJ5tQu
rsIoEl9eDYzNEUUqIiFyEwdsSg+zeE/AWh+CZNQl0m0kjudQkSS7u7q5luricqoRA8srM5CqMBSc
DJwBk5936tCD1dzzFi57xVmeEwfEt47uC2nHh+7vJ5Ft00vS/EMR1BZicCN7e6S2KMD8pQneGIXZ
12pY/FWbUdReyi8E+J1kW4mtVmnhtooJZomZZI45nnEcjKY5PlRicRueikj6L1jRdO8RabNp+q2F
tqdhNjzLW8hWWJ8EMNysCDggEZHUCvLPip4B8E6b8JNT0a1tNH0y58PaY0ujvLcx20umzuT9nlWd
2VojJPEPnLDzGVtxb5qlYWjLZanSs0xKtdnL3vxN0jSjEmpW2s6dPI/kiKbR7pv3oUsUV0jZHICs
cozAhSQSOazdI1iLx7qw1uJZxpNjmPTfOgkiFz5kUbNdBZFB6M0SEAYHm/MwkwvA+M/ifbePZ7Gd
xfeGdPMdvHajV1+xSFbln8y8Ryxj4t4pPJkDZ3eaMNvUHsbbxzaTaLEPC+h6jqoW3DWlvFZPYwGP
b8mJJ1RAn3R8pY4OQpAOPKq0pU4q0Wm9+yPcpYl4htNppdt2dZ8LWI8ICPJ8uC/1C3iTtHFHeTJG
ijsqoqqAOAFAHArra8q8I634u8M6PY6JL4UsrhraARnUo9XxHcTAIzzSgw718xmlJIV2MgO4YbfW
tZ67r1h4p0yfWr63Gl34kszZ2kIENrOxVoC0rfM2dskW/KhmeECJSTXvRr0tIKSbZ8vUwWISlUcG
kjZ0Hw/4n+Kfxr8Ojw1LDpGg+BdS+3at4guLNbhhf+Vb/wDEtgQ3CFWm0+/uQ87RSxosybD5q/u/
r6vjbwVbal4B/a68Ka5Ytanw/wCOLG58N6lYQIttKb+G3lvYL6VlQm6Kw2UluqyMDCJCUJEkin7J
BzX0dC3s1Y+eq35ncKKKK6DIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK
ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8Y+Pfw81a4vtP8AHXhHSZtb8S6f
Eum3eh2skEDatYyTxk/vJXjQS2xMk0RkcrtkuowFa48xPZ6KxrUoV6bp1FdM0p1JUpqcHqj5FsfH
1x4jmktfC3g3xZ4o1KDm7sIdJbTns+Ads76gbaOOXa8TiBnEzRzRyrGY231f8MeLU8RSX1pc6Xqn
h3W7Byl5out23kXUA3uiyAAlJYXMcgSeJnifY+12Ktj6qzzXy9+05c+H/A3xz8BeNNcl0zw/Yy+H
NY0e68Q6g0dtE8hudOltbV7h8AsQt48cZbOFnZRw5r4zG8PYajhpSo35lqut/I+kw2b1qlaMalrM
1K5j4myGz8CavqKYM2kxDV4Fb7rTWrC4jVu5UvEoYAgkE4IPI6euV+JM6nw/DYzW93PZajdw2l79
ktJrnbaFt1wGWFWkAeFZIwyjIeROV+8vwuEjL6xC3dH1FeS9lL0PYKKpaNrNn4g0yG/sJhPazZ2t
tKsCCVZWUgMrKwKsrAMrAggEEVdr9GPnE7nIfEj4b2fxD0y3BuJNL1uwcz6ZrFuoM1nKRgnB4eNh
8rxn5XXg4IBHl2g6HrnivxFo9/eWun6XfeF76SK6uJFMkk03lGKeOKLIaOCRJRJHI7hiBExiZSrH
6Arwz406zF4J8aaZc+FWtF8Z6wrf2hYSjEV1aRQTLDcXJVGZRHKyKrAoZMlMkKCm9OdtzmrU+azW
513jHxaPC1h/o9nJq2rzo5stLgdUe4ZQMks3CIMruduBuUDLMqtyulaVNaXV7fX18+panfOrzXDo
qKiquFiiUcpEp3FUJYgu5LMzMT5Pe/EPUvhhc3Gq+KtW0vVrfU3hg/tbVb2HTZIpVhfEXzARmHcp
cKnzL5krbZDknq1+LkdhaQT654e1fR4imbi5CxXUNuQhZiTC7Ps+UjfsA6Z25rCrN1F7mz/EI03B
+8tUZ3x900ax4ZtbKzgWXX5Zi1hLFBG9xDsAkZ0dpEMK7kiVpATjco2kstaXgTWZYfCHhzR7Cyk1
HV47V7MQiRY4wbVlt5pmdjxEJNvQM5VwRGSCBmanqVvr3xIvpbK7kuINLslsJwAHhFw0hd0Rtvyu
qqvmBWIbdGGAMfPZfBTRIYLTXtcjQL/aV/JFGA7fJFAzRldv3VzP9qk+X73m5JySB5WLtOHs5r4d
fv6Hp4aUqC9rDeWn/BJrb4WReJdWh1XxpZaZqclsm2x0xFaaC0LbhKzO4UTlx5Z+aMBNg2jOWPP/
AAb8Lz+PvFzObCXStD0jV5de1GO6tbi1ubq+mmlmtrdwQgJhRreVzlwSIQMr81eoeIvEEHhvTXup
Ybm8lOVgsrCFp7m6kClvLijXl2wrHHQBWYkKpI4Px/fT+AdE0vw94k1Gw0eLxHe6hqmoRRXv+heU
hjQWcZkVDtkMqTSdN7rOCpWZgNsDKSjJ206f8A4sT+8mrvV7n0fRXyb4U1/U/BkMPiXwl4Y1Ow8K
l41eUwtb2GoNMYREqWY/euZTIiLcxwlgyoP3kYda+nfCusXOv+HbDUbzTZtHurmISSWVwfniP4gH
B6jcqtgjciNlR6Fna7RySSi7J3LOtaxZ+HdGv9V1Cb7PYWMEl1cTbS2yNFLM2FBJwATgAmvkS+to
tU0m0+Lv2DTfEV9e28Goa0kkaM8IjQ5azYnEbw8IUOSywKCwkBZ/oL9oD7F/wrC5/tP7P/Z39paX
9p+17fJ8r+0bbfv3cbduc54xnNeH/ETRrWcaHe+DbqCXTfE2uw/2kunXJ8ud43E7XUMiSARSILSQ
MY8FyxJy6qRjOtGDVOSfvdfTodFCjKp70d1+pY0zw7bLq3hzQL+GC6uvCdjcytbXUq3T2H2u6WSy
iDEtiSGC32nn5Q0exnU5ruK5WG80bwRLLpenaXreo3UjNf3UWiaRf6zchpWb99cmCOV1MjI4V5SN
/luFJ2EDbsvBvxe8b3Npa6D4F/4Q+1n2TSeIPGk8BhigMke7y7K2ne4kmMbOwil+zgFcO6n5T5Tw
uJxk704vl7vY+xp4rCZZS5as1zdUtWX65f4jXttb+GZre4uodPN2fKS+nkEaWe1Wle6LsQF8iOOS
cEsvMIAYEivdrP8AY88DtbIdZ1Txjr+pc+bqM3iq+sWm5+XMFjLb26YXC/u4lzty25izHW8O/sq/
Djw1rthq9vYa1e3VjMlzbx6x4m1TUbdZUO6OQwXFzJEzIwV0ZlJR1V1wyqR7FDI5U5xnKex4mJ4k
p1ac6cIPVNanO/AT4Sy6nqy/Ezxha3R1t5bgeG9I1O2SM6BYuBF5irsWQXF1HGJnMwEkKzm3Cx4m
8336iivrYxUVZHwbbk7sKKKKoQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFIRmlooA+M/2nf2e/hf8A
B2Xwh8StB8I6f4Is7LWbfTfEWo+Hp/7Hgg06eK5gikkjikijGLy5tA0qr5gQkFvLDCr9t8IfBVtG
Vbwvpd5IzvI9xf2y3U8jsxZmeWXc7kknlmNfWWraTY6/pV5pmp2dvqOm3sL211Z3cSywzxOpV43R
gQyspIKkEEEg18+678AviPoswtfBnjDQLrRGnjit4/FWn3VxeadbFgzs9wlwDfMiho0R1hdgyNJO
7o5m8rGYWVWSnT3PVweJhSTjUWh5d8Pfg9D8S/i94i0Twx8Qdf8AAXh7wVDbPdaV4W1JPMl1K7dr
kLJb3Imjit0iVGAWARytcyKHJgkQdnP8Ev2jvCiC70n4o+DfiBcOfKbTPEXh2TRbeJTyZlmtpJ3Z
wVChCoUh2JYFQD3Xwl+DHi7w38Vb3xR4y1PRNVWw0c6Ro1zokU1qZhcTJNeyT20hk8o5trJECzy5
8uVyV8wInuA6V1UqK9mlUWpy1az9o3Teh8mah4m/aC8O3P2C5+BFp4omijTfqvhrxjZrZTsUBYol
2sMyYbcNrIcY4ZutZvwV/ZH8S+L9U/4S743Wujie8vbi9vPBcUa6jb3bkSRwi8mlZ0lhjRw0Vuqg
RtHC5cspUfY1FXHD04u6REsRVkrNnFeCvgj8Ovhtqsup+EfAPhfwtqUsJtpLzRdGtrOZ4iysYy8a
KSpZFO3OMqD2FcT4r/Yz+DviTQrvTrHwNpXg6eeN4xqnhC1j0i8TcpXl4FUSoCQ3kzCSJmVS8bbR
XtQ60tbtJmF2j4E+In7Ofj39m74aQ6touu+G/HFta3llp/8AYo0V9HvNQkuJY7SBvtQuZYvOaaWD
cWiVCCxJQAY7X4dp4y0H4f8AhnTNR+HOuQ6hZaZa21zHDe6bIiSpEquFb7WNwDA4OBn0r6w8WeFt
M8c+FdZ8N63a/bdG1iym0++tvMaPzoJUMcibkIZcqzDKkEZ4INeEeHLbXfhJ4tsvh/4k1G+8R6Td
WzS+HfFuohFluSjSFtNuW3ky3cUKpKs2FM8YlbaWt5nbxcbgac48yj6np0MXUuoyl6Gz4P8AB8mk
zPq2rPFda9PGY2aIkw2kRIPkQ5AO3IUs5AaRlBIVVjjj3dY0XTvEWmzafqthbanYTY8y1vIVlifB
DDcrAg4IBGR1Aq5RXmRSjojqeu4UUVzvj3xcfBmhR3cNoNQ1C7vbTS7CzaXylmurm4jt4Q7hWKRh
5A0jqrssauwRyu00k5OyJbsrs8k/ak+Juk+HY9D0HUb+fTbP7XFqurXphAtobaFZpoUklYEBpJrY
FVX5mEMg4yN3nfh/wTYftC+MfDml6X4I1abQ9aZL7VfGV34dns7VdMjCORDdTpEZmul2QRvbOzos
rTqQIhn6Sv8A9lmfx0ryfED4h+INcW4tJ7C60TQtukaJJBMUWZPsy+ZM/mQI0RM9xKU8+Z4TA/lt
F70DmvZp4KKcZT3RwyxTs4x6nOeBPh14a+GOiNpXhfRrXRrOSTz5/IXMl1OVVWnnkOXmmYIu6WRm
dyMsxPNdHRRXpJWOFu4UUUUwCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK
KKKACiiigAooooAK5X4mfDfSvip4PvdA1WS8s1mUtbalpk5t77T59pVLi2mHMcqbjhuRyQQysynq
elLSauB4F4U8cyTeL9a8CeIWgt/G+hQxXNwlvE8VvqNpLkRX1qHJPlMVdHTc5hlR4y8gCSy9lWz8
R/hzF45t7O8s7z+xfFGl720rWki80wF9vmQyx7l862l2IJISy7tiMrRyxxSx+d/Db4g2nxF0S+uI
vs8OpaVqd5omrWVvci4W0vrWZoZ4w+FJUsm9C6IzRyRuUTdtHhYrD+zfNHY9SjV51Z7nV1xvhWzu
viJ8fUuPJhk8LfD6OQNM0pWRtfubdNoVNoO2DT7mTJLGNzqS4BeAlKHxO8e6lYyweD/A8dnrPxJ1
dUWx02S4QDT7dyytqd2mdy2kOxiWx+8kCQqd8i17d4F8F6d8O/CGl+HdKErWlhFs8+4YPPcyElpZ
5nwPMmlkZ5JJDy7u7HJY1rg6Lb9pL5GeIqaciN6iiivZPPCiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK88+I3wA8A/FXWtM1vxFoCv
4h0zAs9f026n07U4E2yr5S3ls8c4iInlzHv2EuSVJ5r0LpS0gOU8BfDDwz8NLW6i8P6cbee8ZXvN
Qu7iW8vr1lyENxdTM805RTtXzHbaoCrhQAOroooWgBRRRTAKKKKACiiigAooooAKKKKACiiigAoo
ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK
KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//9k=</Data>
</Thumbnail>
</Binary>
</metadata>
