<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250311</CreaDate>
<CreaTime>14542700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>North American Profile of ISO19115 2003</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Queenston-1798-NMC-4347-geo.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://\\cronus.campus.brocku.local\maplibrary\DATA\Historical_Maps\Early_Niagara\Queenston-1798-NMC-4347-geo_1.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">-8800483.620855</westBL>
<eastBL Sync="TRUE">-8799576.074242</eastBL>
<southBL Sync="TRUE">5336748.728432</southBL>
<northBL Sync="TRUE">5337398.682749</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType>002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</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/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;148923141.92838538&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">16</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">LZW</CompressionType>
<NumBands Sync="TRUE">3</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">FALSE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">256</NoDataValue>
</General>
</RasterProperties>
<copyHistory>
<copy date="20250311" dest="\\cronus.campus.brocku.local\maplibrary\DATA\Historical_Maps\Early_Niagara\Queenston-1798-NMC-4347-geo_1.tif" source="Z:\Historical_maps\Prep-for-DSpace-packages\Packaged\Queenston1798\Queenston-1798-NMC-4347-geo.tif" time="14542700"/>
</copyHistory>
<lineage>
<Process Date="20250311" Time="145427" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Copy">Copy Z:\Historical_maps\Prep-for-DSpace-packages\Packaged\Queenston1798\Queenston-1798-NMC-4347-geo.tif \\cronus.campus.brocku.local\maplibrary\DATA\Historical_Maps\Early_Niagara\Queenston-1798-NMC-4347-geo_1.tif "Raster Dataset" #</Process>
</lineage>
</DataProperties>
<SyncDate>20250124</SyncDate>
<SyncTime>15011100</SyncTime>
<ModDate>20250311</ModDate>
<ModTime>14535400</ModTime>
<scaleRange>
<minScale>50000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ISO19139</ArcGISProfile>
</Esri>
<mdFileID>3CC80093-94CD-41CE-89C9-BEF67C58EC49</mdFileID>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="CAN"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="006"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20250311</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distFormat>
<formatName>Raster Dataset</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle>Queenston1798NMC4347col</resTitle>
<resAltTitle>Scanned image of 1798 map of Queenston</resAltTitle>
<date>
<createDate>2019-06-14</createDate>
</date>
<citRespParty>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="003"/>
</presForm>
<otherCitDet>Described in: Mapping Upper Canada, 1780-1867 / Joan Winearls. 1991. Reference no.: 1900</otherCitDet>
<collTitle>Historical Maps of Niagara</collTitle>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Map date: 1798NMC-???Scale [ca. 1:1,108]Relief shown by shading.Oriented with north to the right."H3/440 1798 Queenston"--written in ink in top right margin."Approved (signed) Robt. Prescott By order of the Commander in Chief (signed) James Green, Mil. Sec'y."Digital reproduction of map (43 x 53 cm.) in the Brock University Map, Data &amp;amp; GIS Library collection. Georeferenced and modified from Brock call# G 3464 Q84 G46 1798 M36 by Map, Data and GIS Library, Brock University.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idPurp>Map showing the location and dimensions of the proposed building lots for merchants and traders in Queenston. It shows Robert Hamilton &amp; Co occupying one lot, storehouse, "A Range of Log Buildings" (Rangers' barracks), roads, cliff and two small lakes to the west. It was included in Col McDonnell's letter of 10 Aug 1798 enclosing permission for a bldg lot to Thomas Clark at Queenston.
Signed: Gother Mann</idPurp>
<idCredit>Gother MannJames GreenRobert PrescottMap, Data &amp; GIS Library, Brock University.</idCredit>
<idPoC>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="006"/>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="006"/>
</role>
</maintCont>
</resMaint>
<placeKeys>
<keyword>Canada, Ontario, Niagara, Niagara River, Queenston</keyword>
</placeKeys>
<themeKeys>
<keyword>Historical</keyword>
</themeKeys>
<searchKeys>
<keyword>Canada</keyword>
<keyword>Ontario</keyword>
<keyword>Niagara</keyword>
<keyword>Niagara River</keyword>
<keyword>Queenston</keyword>
<keyword>Historical</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;No restrictions.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<spatRpType>
<SpatRepTypCd value="002"/>
</spatRpType>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="CAN"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<envirDesc> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>-79.056089</westBL>
<eastBL>-79.047937</eastBL>
<southBL>43.162565</southBL>
<northBL>43.166824</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-79.056089</westBL>
<eastBL Sync="TRUE">-79.047937</eastBL>
<northBL Sync="TRUE">43.166824</northBL>
<southBL Sync="TRUE">43.162565</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="012"/>
</tpCat>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="006"/>
</role>
</maintCont>
</mdMaint>
<mdConst>
<Consts>
<useLimit>No restrictions</useLimit>
</Consts>
</mdConst>
<spatRepInfo>
<Georect>
<numDims>2</numDims>
<axisDimension type="002">
<dimSize>6229</dimSize>
<dimResol>
<value uom="m">0.145697</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize>4461</dimSize>
<dimResol>
<value uom="m">0.145697</value>
</dimResol>
</axisDimension>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<tranParaAv>true</tranParaAv>
<chkPtAv>false</chkPtAv>
<cornerPts gmlID="ID0EYMAC">
<pos>-8800483.620855 5336748.728432</pos>
</cornerPts>
<cornerPts gmlID="ID0E5MAC">
<pos>-8800483.620855 5337398.682749</pos>
</cornerPts>
<cornerPts gmlID="ID0EENAC">
<pos>-8799576.074242 5337398.682749</pos>
</cornerPts>
<cornerPts gmlID="ID0EKNAC">
<pos>-8799576.074242 5336748.728432</pos>
</cornerPts>
<centerPt gmlID="ID0EQNAC">
<pos>-8800029.847548 5337073.705590</pos>
</centerPt>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode code="3857"/>
<idCodeSpace>EPSG</idCodeSpace>
<identVrsn>8.8(9.3.1.2)</identVrsn>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<contInfo>
<ImgDesc>
<attDesc>Scanned map </attDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp>Band_1</dimDescrp>
<maxVal>255</maxVal>
<minVal>25</minVal>
<valUnit>
<UOM gmlID="ID0ERJAC" type="length">
<gmlIdent codeSpace="GML_UomSymbol">Unified Code of Units of Measure</gmlIdent>
</UOM>
</valUnit>
<bitsPerVal>16</bitsPerVal>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_2</dimDescrp>
<maxVal Sync="TRUE">252.000000</maxVal>
<minVal Sync="TRUE">22.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_3</dimDescrp>
<maxVal Sync="TRUE">222.000000</maxVal>
<minVal Sync="TRUE">21.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
<trianInd>false</trianInd>
<radCalDatAv>false</radCalDatAv>
<camCalInAv>false</camCalInAv>
<filmDistInAv>false</filmDistInAv>
<lensDistInAv>false</lensDistInAv>
</ImgDesc>
</contInfo>
<dataSetURI>Z:\DATA\Historical_Maps\Early_Niagara\Queenston-1798-NMC-4347-geo.tif</dataSetURI>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAMLA9cDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDa+HCCXwNYKVHytLyP+ujV1hs1z1ORxXL/AAyAPgaxHOC8ueP+mjV2yoM9OK8Ws/faPSppcqKn2dFUAL+NCW6JkldxPrzVx0I4FKsZI6Vndl6FI2EMrcxgEdDinHTxn72KvqhB5NOKHIphczDp3zZAB+tWIrMqCu4jP6VcVTnkYp4Q460uom1bUpCwj5JZiT79KctigAUMwFWxGMcdPSgIR/Oi7FoVfsIHIkb8qieMRtjORjqa0gp/D3qOW2EjKVYLjrVJkuxRWPzGKhTjuRTTbJwuzCjv61prCsa7QMD+dKIweooBNIz1tUDY2AA+1CWSFnIBXn068CtAoNuMUoXAAoHcoGyhDf6vOe9JJbqGUJ8oGRjFaG0Gk2HB5yfendhdGe9spIIXJpv2UnHyj8a0tnNGzPNILozRaBWLBcH1HWl+yrtAxnHGTzWjsApAvoKAuURbqDnbjPfFOFsqnO3Axir+0CjAx6UWDmKapheF/SmPFkfd2r6Cr4XikKA07MOYom3UqMIBUZgUgkryBgVfKeg5oMasDxSQ7lFLcMuMcd6U2u0ggA+xq8Ex2GKUr6DigLmeYD2WlNuvcitDbSbAewzTsFykbNCARyR0xxSiD/Y6+1XAoznFPOKLXFzWKX2df7g/KjyvmACcCrhGTUbEoy4Rm3NgkYwvHU07C5iNIlX+HH0FO2ex61PtoAosHMQFcHvijYgYOV+YDGanxx60m00rBzEOwZJOaYUUncAQTVkrTStDQ1IqTR/L3/OnwIoXkDmpJVyv406NBsBxzSSG5aDfLTdnAp+1cdsU4D2pQMcYxVWJbI/LBpDEtTAY6CnYosLmKxT5ecYpgiG4MelWioNJtx2pWHzEJj3HPWkEI6FRVjAox7U7BzEHkDHfFN8sA4A4qxt45NG2iwcxB5ORgj8KPIX0GKsAHGeKUL9KLBzFYQA9QKcIhVgLxS7aLC5ioYetOWIDnipyOKQDI9KLD5iFoh2ppi3Dk1ZK/lSbcUW1BSIBENtAQHip9oxRtFKwcxXeIMOgoEQAwMAVY20hXmnYfMR7D68VGUxyBVkjik2DFIXMRLjjPXFLjPUcU8AbsD0z0pQvNAXI2QY6UwxgkZHNWCtN2c5ycelFgUiPYMCmlORU5WkxzRYfMR7PlxiozGTIo4+UZqzt5pkYJZ2PQtgewHH880WFzDRFxS+XU3aj+VOwczIvLpSuKkxQQKVhXIgmDnrS4qTaMcUYosFyIjJ9KRowwXPOD3qYLzSEdPrTSC5B5SjP1pFTHcn3NTkdaQClYfMM247Um32qXGaQjj0osPmITGT9Kb5QHYVZxxSAD8aLBzFfysnOOaakWXbI5zVoAemKRU+cmmkHMMKADpQFBHIH41Iyk/WjHtSC5GY0xgAYphgUjHrUxBJpwWnYL2IfKAPFI8SuCCvWp8c0hGCeKQrlcxAEccUGIEgjrU+MigLgUajuVzCOuB+VJ5Hck5PpVjvRjNFh3Kwgb+9+lBgbuN30qztyKfjjIoSByM9oDnGDj6UJb56rgfSrxFJtosHMQiEDgDigRqO/NTAZAppGMe3agLkJh3HOOR07UggjI3Hk5IPPHFTg5pGB2nBAJ5HH60wIPJUHI5NHlkckAg9qmAxSk8UhkJUeg60m0nqRUxxwPWm7ASOBkUmBXeLeVxgEdcjqKcIRgdqs7RSEYFA7oquqhuf1oEcbgcDn2qvdSlXyWIVRlsdSewpsDuYiTncueSeTRZhdDp4YoGV1BBJ2n8aXaScnp9ajOH2ZY7d3zf0/WpycdqEyZbjBwM+1Icgggj3FPJ9RgkUADA+tVcgbuwOKKCuetFAHHfC5t/gi1X+7JIP/AB4n+td0nBGa4T4Tj/ijI/8Aru//AKFXoAjAPFFVe+/Uqm/cQu0MB2NPC7Rx1pAMMOeKkPr3qRtjcGngULzTqVhNjSPl6E/SnqKQClppEsAOaUc0g4pwxQJhigAZoo70wFYcU0Cn5yc0h60CQmO9G2ndqMA0WAYRmjHvTsUhFFguIRRzSlTQB370WHcTpmjGOadTSOMUWFcP1pccUnT1NLQMMUhwMk9KeBQRmnYVxmOaUgYNOxnFBHy4oSC4wjHSlxSkUo96AGECkFSEdabjiiw0xgPJFPxSBacBQJsbRjpUmKTFMLjcUbafikxQK43FGKcRSUDEIpCKkPNNpMEyFx8tPQcUkg4p0fShblN6CgUY9qdRTJExRjFKKCaBCAd6KBxS80ANA5pcUpBxRimMaQAKbxnrUmM0gUUWBMQcilpQAKBxQK4Dij60EgUoNADSOKKU5/CgDmgBpHHUA0opSOaDxSC4hGDQQCKUHcBS0wuRA8nIxjvTsU0/rT1PTnNShsTFGKdweaO9MLiYFAB9Kdmk7elAriYoIxThSHkUBcZSdaeRSYoKTGn7pOSMc8U2Ifulz3GTUuMgilwAOnFFhXGc0bTmn0AYp2C43FJg089M1GxwwGDyewqWgTuOwaQjHWnA0EUANFKVzj60Fd2Oo5zwcU4jp9aaC5GR1pMVIRn86QLQO4m2jFOxikPFKwriYpME8U+jFOw7iACm96f0pnegEOxQRnmiloENIxSDgU4nJpQBg0guNzSU7FG2gdxOKMAjpS4pB09KAI2DZGMYzzkUpFOJpccUDuM6U4HIoxSdM0AHBNGPSgZ9KWgBBTdoJzipCKQ8HA60BcYRzSZDqCCCPUU45oI7UDI8HvS4p1BHFA7jMUZxilIOOKKkYE4XJPAFV7ibYhYEYxmrGMZqjOPPuAg+6mGb69h/X8qaVwM+5dxJFGMNKxLEHoPf6VZityg3F2Zu+Tx+VVFSU3p2qxfezMSMBQAQo/XNXDdRphZGDSAchBuOfpVvshLuIRvUoBhh0+opysGBA4YcEdxU0JSVd5Rlz0B649aSaLbyDyOh9Kzeg7XIiMYJoJzg45piPvB7MDgipcfLTRI0kk46Yoo7migRxvwlGfBqcdJ3/nXfgknrXA/CQj/hCxk/8vD/AM679MGqrfGx0/gQ8Dmn4zSDrThyagpsUDFOpucU7g+9BDFH0pcUClAxQSxMZNHFHOaMfnQAoFLjNAFKRVCuIBiilpBzQAHp60uKOoozQAlHrQKWgAxSYpaTGaAFpMDNAFLQAAUmOafTTTEIDS0GkHFAx3akzRnjmkPPQ9KBBQTyKad30pwGKQwxxQaWg0wEA5oxyKUDFFArhijFBOKQZP0pgL3ooo6UABFFHUUGgApKM0hPpSGRy/dPrTk5UU2T7pJqSMcULcp7BRjmnEUAUEiYoA5pQKUAUCuJ0oApSM0oFMLjSKMU400igApAOaUigUwAikA5p/UUgHFAXE60CnEU2kA1z8tIp+brQ549KaMjtSKWw93C8kgU3fkdaY+aaN2729KVxqKsTL0p1NA4pefWmICB1600HHGKfxjFNIFIBaTOaD0oxznmmAZoB5pKQHmgY+ikBBpe1AhMnNKM0mCTinUwAClFB60CgQpFJilpcUCGk8UmM04gHpRjFAJjcYpQKXHNGOaAuJxmkPUfWnYpD2oABxQTS0nOfakA3NJ1zT8UAUDuNpaXFHWgA7U0DvSmgd6YAelIRmlIoAxSATGRQBxT+1JQFxKOho70UAJR147UUUhhQKO1FMBCOKCOKCcUA8UAJjHvQRzmnUmOeaQ7jcjOKWijimAmc/40EUAHpQBgUAJikxxTsUh6Uh3G460HinECopFcj5GA+ozSGNeQAEk4A7mqgk+99niZixySBgE/WrAtkJ3SHeffoKm2gADtQUZn2S5nYmaTap/gTj9etSxWaQYWNFVe/HP51cKkA4xnsKQDgevei7DQj8vIyTijIOB3p7hSpVgCCMEetQShyybAu0fezxge1SykV5IXRy6AEdSAOT70B88DrnB9qsRP5hYEBSpwBnOR61XuYwHD7cE8Ajv9aExNXEyeueKKMcYHI9DRTIOM+Ep/4o0f9d3/AJ16FHzzmvPfhJz4NI9J3P616DCN1XWXvsKb9xEy9e+aXHpQABRj8qzsMco+hp/U0wA07+lMligAfjTqaDSgnnjj1oJY6jpQDSmmITPI96AegoxSjigA6UmM9c07NIOtMQGginGm0wAAZpaaBjOKADigBwHNJilFFFgE6UtBFFIBM8mkOc07AyTTSOaYIWk7YpcUdKBgAKUj9aQUEZBHagQUHGKaN3cAfjTqADrQKQnqBgnPPNKOuKADFGKXNHSmAhHFGKWk5oAAvNKBRSjrQIQjFBFL35oP1pgNwPSgilpPzpDRHJwtPUYHWmyfdpU+6KnqV0HGlxSDik3YHPHOKokfRSUDmkAuaTNLikxTAKKOgpDxQAvelApM80oNMQppKU80gHFAB3pO/anUgFACEcdKbjJHWpD1pMc0DuQlc0mOamK89abjBqWiuYMcYoH0xS4GOOtLigkQikx+VOIpMUwuGPakxzTqKAuNKkjjioirA9PxqejFKw1KxCAcg+tSBadxRTsDdxMcUYp1FAhuKBS4oxQAZzSntSUo4piFxRQKKAEo60tH0pAIaTuKX+dB6j60AJ2pAPWnYxSDrQMSlpPaloATvijHFKaOooATFIB1xSigUAAFKaKT8aACg9KKCKQDc+tKKOc+1LQMbRRikzjrQAtFFFAxkgJHHFKgAGDTsZpMYoDyFooooAO1IaWjmgAxSHrS96afagAxSgZpgBBPNPHSgbGnk0lKc0wkgE4z6CkNAe3Ao7UueKO1SMZSY5pwINFBVyCQurqAhIPU5+7SkZPepT0ppHFA0yqlsiTM4GC3LepqC6Dg7yc4BwP7vtV8sB3qCQeYNoUj3pbFb7lbICg4HNFNAMQw3QcA0UyLHG/CT/kTifSd/wCdegxPgY71578JD/xRzD/p4b+lehKpBBxzWlb42RT+BCySyNJ5MOA+MsxGQo+ncmpEjIADTOx6ZOBn8hio7Rcxs5zudixOe3QD8gKsgdKgZVl+1QK0kP8ApAHPlNgE/wC63A/A/mKmtbqK8tI7iFsxyLlSRg/iOx9qm5rD0NjaLqNncERm3u5XXccDy3Yupz6fMR+B9Kq10SbnajOTVWK/hnijeLcwkGYwByy+o9B7nFPgvbedY2VwDI7IoPBLKSGGPUbT+VKwFsDilpB04o5oJFPWikopALQKMZpaYgNJQaKAQdaBR1HBwfWgDgf0poBcelL160g4/CjNMAPWikOO1ANJsB1NpeopT0oAbmjNGKDQAwtggZp56VCyEyBu1T4+X0pK42kIelAPPtQOlLTEJz6DNL3oooATNLSdKWmAuRSY5oI55pcUxCAUUDg0YPGMUDF4oyM0UUCG96KXikNIYxx8vNKPuikfleaevSpW5XQKWiiqJEpwppNLQA4mk7c0h6elLTEJSUtJ0HFAwx3pwFNpwpAxaBRSdBzTELigUmcmloABQOtITQMZFACnqaYenNPPJppHNIEJmjNKMUuKBiDJo5B9qUcUe2aBARjpSZx+NKePpRTAO2RQaOopTSAZQKUqKQCgYo96AaTFLQAg60tJzmnZpgFHeg5paBBRQelIRQAv0o701X5K4IxS5pBYWgdaKQmgANJ3NONNoAXFJR3/AKUUDDrRR2ooASkA96XvRQAUE9KWkI5oABz3oNLSHpSAKKMUmM8UDEo70Ud6BiUtB6UUgCigUUwCikHSl6UALmk6UUUwG0UUUhhRRnvRQAp9ahJAYAkZPQVIfSgEN05pAtBuOlKRkU4ikpDuM6UhznHb1pxGfwoosMZ+NNIGeakx600460NFJkZAB/8ArUwg56flUhBBpG6ZpMpFadS0YHcnJop7KSuM80VNmM4H4Qc+EXGP+W7f0r0VRgj1xXnPwdP/ABSsn/Xw38hXowIY+9b1vjZjT+BDbZXgDQvyoYsjeqk5wfcdPpipGkctsRefU9B/jTiKBnA4NZDsEShF2gkknJJPJPrWH4jnMs9jpkCK1xdyfPkcrCvzPk9gflX/AIFW6Qe1Z9rppi1S71CdxJPMBGhAwI41zhR9SSSe5+gqou2rJaGS+dp8M83mIAUGZCucN0+71PYKo4/E1HpsUGj2Sz3jsJSp4ZdzIudxztzySSzEcZPoBU97a3Fxc2pCK0UTF2BbA3DG0n1A+Y49cfWsu40nUbyxuIphl7icC4IYAvCG+4uD8q7cDk5yWP1tarViZtf2zYizF3537ksyqdp+bBIJAxkjjr0xzU8d/byXAgVyZCpYDB5UEAke2SKyDoj3d1F9sWP7JGobyUJwWB+VcYHyrgHH8RPIAAFTWen3KzXMtwQJZnO5hjiNSQqL6DHJPXLNSaVhWNkNmo57lLeIvI2B0A7knoB6mqNwdQN0IbWOOO28s5mJyVbIwAvpjP6VR+yao17BcPIwRWwEOGKqOSTnjc2AM/wgnmhLuNo1oY5ZZluJiVK5KxhjgZGOf8/l0q6DmsEPrRZGaLG8lnUFSEAPCr6k92PTnA6YRpdeEEEoRRI+VeIKCELYO7OeQoBUf3icnAp2EzdZjuxjjHXPegHmufMuu+cGK7YfNVNm1WJVclmyP733R09eOlTadfaheyrNJEsEZVt0BGWDZ4GfbBy3Q9AOMka6gjbyBycAVXkvY1ijaIiYyj92EOd3fOemPes++t7ibbbhGaKUs9wwOAwAAC+uD+oGO+azBBqltNLdi3kkkMDMsQbAGB8seQeMdTjuQBnrTSTE0dBbWzrK1zOwadl25HRV64H41b565qnZLMkW2V3kzyXcbcn0C9QPrVDWrh5ENhbpI+VL3JiXJWIclR/tNjaO/U9qm12BfinN0C8RItwcK45L+4/2ffv9OTJCp8x2DMUIAXLE5IzkjP1H5Vz0s+oLALf7NcFTE0rpAu3CjhYY+mOnLHnrjGRhVuNUsoVAsHaNFVgibgAWO0KoHIVRySRk9hTsM6kNQGBrmze6mJJ2RJWClYkV4io3E8yE9QoB+7yTj3qGCe4tIW8qK4lZ5REC4YFmz80smOg44Uc4wOMjBYLI6kOCM8/jxSFq5+W81SB/IWF5XhRpmIUkMCW2pux97jkDJ6euavaddzXNvEZkUOIlMpRSFD4GVXPUDn/OaTVgsXpZ1iAO0sWOFUdT/nBpftMX2ZZy2EKg89eeg+vNZOqtdSzxW1pGSXGHc8Kqnqc46gD8c46ZIL3TUECpDE6ZuFmZlJf5lx95T1Bx2789aaQmjSSVptxEirt6hSGK/U/5+tNtbv7SWARsIxVnGACeCCOc4IINZhWWYi3VZzGx3TO0ZTeB0RQRhV9T6epJIe2oNBcSIiARxDzLiQqfmOOAo9AAPmPGAAMk8Fh2NsEEdMc45ozXOJr90rSmSyIRCCSCRtDYCqcjlmJ6DpkZ21aGuoo/eRMCgxNsbcFf+6v9454z0zx14osFjZyKAwzXLp4uhGoy2lzbNDJEqlk3hnDHnBA4AC/MST7datxa4xR5p7ZoIVj85ywJZVIO0bepYgZIxwPWhxsI3Q+4ngjBxz3pQawn1qZZQpt1/eruiTd84AzuZu20DbznGcjJ4y1fEKSxWvlQsZbuXy4VzkbeTvbuBgZx15HTNFmFjfzmgkDqcdqp3l2LKzaVgGkVSQBwGIH44FZX2i7Ef224dCsbBjkYVF749SemeTzx/tNK4WOh3UZ5rFGsyGFc2bi5kjEkduWAYj/ayPl54GefyOIr3VkFwsU48q32lpMsF+UHDMzdAoz+J4z2KswN7cCM5yPUUhNY39v2UTGNxJGFjLplcblGMgD1GV46/MB1qN/EdpGjtO8cJhUNOHkGYQcYVvVuRwPXr0yWA2XPB60obgVzemeIJ9cu3ktLZotOibb5ko+eZsAgKvZcHOT610G8JECw+bGSAfz5/rS5WnqVpYkllSGIySMFVRkk1DayzzF3dAkZx5YI59yefp+tY0WqNPEb68i2ws+LOEjhgFz5hOPTcfYDpk1bi1e4uLpLWKwcS+Ussu9tqxZI+UnBO4jdgY7dhzVWaJZr/hQDz9KADgEjBpcVIwzS9qQClHIpiEoNOpKAEFOAoFAFIQoFFGKKYBjikHNLmkOSpAOD60gEI96AOaUcDk5PrQOTnt7UwuGMGjvSk8mkNDAKXjNIKWkAh60ntSngUgOaAHduaKUUlMBB0o5xxwaXFFIBB0GevtSU6kNACdqO4pccUYFACUUZpAeKLjHUmMU6m5x1FAhWLBDgbmA4HTNKOOtANBIoEGOaMcUZ5pCcUDD60h7U6k9KADtSUueKbQMUc96XHp0pAaXNAhpGWB/D8KWgkfjSigBD7UDkHNKTSUAFKaQ8CkNIYtIaKQn8qLhYCKCOKM5FBoGJRSd6WgYUuPSm/wAqUE0gFHANBFJu9qUHJpiGjOen40tJnnpRmgYoFLigHr6UEk00ITvRRQaQxMUYpRkUuMUBcjxyeOlO4xSFSCSKac4GOtIe48GggAe1J1bBB9eKU+lAhgPXjFM6E9etSkVBIw3hAAXGGwTjjpmk9CkSdqYFAGAAB7U+mmkUhj56Dqeh9KjddygMSfUjinyl9jFAM4OAe5qFSzRI0qgOBkgdAaTZSHA46g4HAB7+9FOHNFMZ5z8Hj/xSkvqLlv5LXpBUZ4JB715v8HBnwrN0x9rb/wBBWvSXHAwea1rfGzKn8KHDA7/QU4HjFMAx1HNVNU1FdNsmnMTysMBUX+JiQAM+5IFZpNlMnubpbZQx5djhVHc/4f560lq9wLUvdsC5LNhFxtXPAxzk4rCg1GK1umlvQWumXc8hyIo0H3tpIxtXIGeSxNXz4htVErOrqIh8/TIYnCpjuzAg7e2RnrV8rINSaVYYyxBJ7AYyfzpLR5pbcSTxLG7E/IGJwueM5A5xWHLqT2uZ7qMy3bMqi1jYERlj8q56Fu57dzgYNSx6ylrbT3Fy4mkzjETZXdnGxPXBwC3cnHsCzsJnQAUlZH9v26iXzEdAsgiTJGWfaWIHYbQOSTgd8EEVPbahJdQlo4CrkkREtuDL2b2X64Jxxmk4sVy+xVELOwVQCSScACqomM8Hno7RQkblYLksOxAPTP0yapa1PHPELVpQtuHX7S45yuRiMerMSBj0J9RTpNSlLLEluqyljtMh+VVUDc5Oegzj3PQ45ppAacAfyIzL/rNo3ZxnP4cU4um/ZuG4DJHoPWs3S71ruSeOKQyR2shikkZSCz4DEAE8Abh/IDimXskAu5VeaUR4VZUHRmOQqA4zk5yRkcY9Saduggi1F9SvJLa1jdbdOHuiOGPOVXnOenPofpWrFBHBEqRqFVRgCsm01Z55IbS105kcoXILqEjXdhSSucbgCQMc/mRffUbWO/Fi8wFwYjKVwcKoOMk9Bz602guWsDr+tVYL2OeXap4YFkP94A8sP9nkYPesvUdTWT7QpVvstuuZgByxOCFx75HHU5A78Lb6hHZmVrlSZwu64ZCMQ8ZVM+ynPp1PApW0Gas0jtlIQS3TPYe59v1/mG2ttFZQMAeWJeR26s3cn8vwApiahF5UTGORTKNwQgAhcj5mGeByOvP41S/tK3vb57Z38u3iVmO7I83bjcT6KuR+PHGOSzEadvO07ufKKxjAVyeWPfjt2qxjFZg1uxHm/vCqxKGYlSAARkcnjkc49OakXWLU2rzsXjVFUsrrhhuGQMevtSswL4AoOAM9APWsbT703l2skqv57qWWBTxDGehb/aJHTqOmODV+/mjis5PMfaGUqDnnJFFrOwDvtCY3OQqkZBJxx2z9fSnyyxQrukdEHqzAVn2guvLe6u1iRjkqxY4RfdSBj6Z/XNVLq9tYIHv7vzGgij+QdGlAzlsccEnAHGc9DkU7DNFb23dQyTxsSTgK24kdsAc88VagkaWIM8bIfQ1nDXLTCBknR2cR+W0R3Bj0yPcc/Tk4pZ9bto5RbwnzZ2VigHC/LjJLdlGeT9R14oSA1SOKTFZUWswvGh2yOWIVWROGJHBAz0PPX0yeBmrNrfpeSSeR88UbFGlB4LA4Kj1x3Prx64TTFqWyoYYIBHoRQEUdFAyc8CqdzqUdvOkW15GZgG2DO0EE5P5f54qO31q0uHREZgWjaUEjjapAzn0OeDTSYal0wx7iwjUsxBJ2jJ96kIBPIFU72++yQI4j8xpCFSPJVnYjhQMfnnoASelY6atNLN9ieQNI0irLJCxYBm5Ea/LwAOSeuOe+Q7NhqbiXKS3RgSJmVVO6TAwPb3p8gtrRHuXWOJUXLOQBtUDufQVFY3NvIrx2+3ZE20lCSC3OQDjkjBzVTWr+2gtHt2jS4ll+VYn+7nGcseiqAMk+gp26CIrW5XUriOeciOF8/Z4ScFgM5Zh2OPy6dSRWlHMlxIUEe6NRnecYJB4x/PPt9Kx9MaOSztjcKLcTqW8gKBvAHU46LjHHA5A+uhBq+nzTrbwzqZCWVQFOPlGTzjGP8KGuw2LMpn1HZHblAqYmuCuCV6hFPU5zkkcD6niy9lazH95bwv8AJs+ZAfl9Pp7VGNRtGLAXMZ2qWYhhgKO+fT3pbSaO4h86IyMkh3KzdGBHBX2x0/P3pahYlMEO5D5MeYxhDtHy/T06CoG02wZ5XNlblpiDKTEpLkYxu456Dr6VT+2sbo3JuWW1jZo9qpu81geijGTjByR3yO1XZ9QtYDIJJlUom5gASQCcDp3PYdT2pWaAclvDCWaONVJOSQMVl3F02pamNLtmPkw4a8lHTHBEQ927+3HfjRe9tg0kZmUNGgZwTjaDxk1Usv7P0nTt4uVMTNvaV2BLs3OTjuc9AKFpqPoaEtpbzyRSSwo7wktGWUEqT6elOjhjiZykaqXbcxAxuPqfU1XudRgtm2Fi8zcLEoyzNjp7evPbJ6CrSFigLKAxHIByAfrRqIfR3oFGMkHFIBwHFGKUcUmep7UxCdqKU+1FAABzS0nQ0g96AHDpSEke9GaUUAIfejHNKTTATmgB/wBaBwaQc0qjmgGBpuKeR6U0jmgEwoPpS0UguIRQFwKUigUBcO1AFA6UUwA9RRRRzQAnQUlLmgUgEp3agCigBtJ0px69KCBTHcaDzS0mPype9IBwFGKB6UE80CD8KQZzS5xRmgApp4pw5ppoBC+tNNO7cUmOc0DQopKKUigQmKO1LSUDENKKOtIelACk0E0lFK4WF4pOlGaPWgBAMKB6UdaD064oBFAwpKU4zSZ70AhM0tITRmkMWikHWlpgFNpaaTQND6Wm54oBzQhC0hNGcjJGPrRnmgB3agHim5ozQFhc0h/Sig9KQCZ7d6XNRtuGCoByecntTiaEMMgGoZZVhjZyCQo7DJqQjmmng460MpIRHDorAHBGRnrSniikOcHpSsMCeD1qALsT5m3HPJxipSTn2puGI55/Ck0UtCPJopXDDkUUDPOfg5z4VuB6XTf+grXpJYjFecfBpc+Frk+l03/oK16MeWA4xWtb42Y0/gRLk44/WoriGO4i2TRrImQ2HUEZByD+BANTAYAyfxqK5njt03yE46AAZJNQiiJrK1kO+a3iYhCuXQHC+nPakhtbG6hZltIzG7DOYgA23GD7jgYPtWedXtbu3jmEyvbzELGgOC7YJwQfujCnJPoalg11ZbaF1tHZpmCxoh3bl7t04GOee2M4zVaks0hZWoZm+zxZYgsdg5IGBn6AAfhStBaxDeYY1CtvB2jhueR78n86xx4ptTZmYI3mbWkEW4ElQxAb/gWOB15/GrsIa+bdcqfl5EYIwoOPlY929ccc4+q1QhFtU1B3It1htywZiFAaY+/HC/qfbvpRwxxKERQB/M+v196z7vWILKVYwjSBVZnK4wiqCST+Ix9aautQMyZjZRtUybyAUZsYTA6sSRwPUU7NiNH7LbFCht4ypxkFBg4ORSvbwyMrtGpYKVDYwQPY9RWYNetTEHWOZiZPKCBRktnaQOcHn09/Q40Y5hLnbn5Tg56Z7jPfHtT1W4rGdeTwaPbR2Wn28a3NwzeTEgAGf4nb1AyMk9SQO9LJb2trp0MV1GLmVW3KCMl5DnJ/HJ/A1kzStb67eapI8bxxBYkGcEEDG1TjpuZsnuSB2qeDVVzJcSwmS8LmFI0O7cwGSq+w53Me4OemA9R2OhgwsXmGFYpZAGkAwfmwByR1xjGfamG2t3uluDEpmCgbiOcDOPyycemT601JgYGdgAVHzDPAIHPPTj1rBGrGeaG4C7nkJ+yITgbcfNK3ooGcZ5Of9oALVhZHQvaW7pIphTbKwZ8LjcwxhiR34HPsKY1haOkyG3jxMCJPl5YEAHJ+gH5VVttWttscTyMz7dzuVwF9N390nsvWnT3srCOCAKJ5mIUlgwVQeW9+O3TOBRZisWVtLXDbUUHG1iPvfn1zyTnrzUE2macINkluvlCNYsZPKjOBgdTycd8mpoli0+z+dwI41LPI3Ge5Y/qay49RV4/t947Qq3MMW0l0jJwGYdmb6cA4HOaFcLFqPTdPuJWlNoQyTBjuJwWAGDjOD2/EDPIqydNtHkDmEEiTzeScbvXHT3+oB7CoZNV0+03xPOFMShmAVmKgnvgdc1Jc6naWjhJZPnZgqqASSxGQPqccCjUB0GnW8F/PfL5jXEyqrO7kgKpJCgdAOT0qy0aOys6KxU5UkZKn29KoxanCbcyTyIm19jYOVDE/dz3I6EjjOaI9UsDbPMk6mGNmQsAeCvXAxzj1FKzCxdlginULIgYKdwB6Z+lRy2lvMytJDGxVw6kqDhh0P1GePSkNwjrG8TqVb5iT02+v+BqsNZsi7JvYFX2/dzk7c9vb1o1Cw46PYfanufs4852JZ9zckgA9/RR+VRRaRp/2QWwtAsSIYlBJPynGRk8kcD8qsW98l1F5sRHlkbgWO3I9fp71n3GstHMOY0TaQu5uP95uM46YA5OecDkNXY7WLj2Vk0yQ4CzBWZcNzgkZJ9eQvXPSnWGnQabbrb24YRgs2C24szMWZiTySSSabaz2y3UtuJN9wqqZX5OCegJ6A+i1bMsYbYZFDbd2CRnb649KG3sBW/sy0xcgxbhckmXLE7s9R9PanmztUmNx5aqwVQTnAAXOOOnGT9Kzbe/XUdVuDCxYWjiJUPAVioJdvwbAHXhvwtGW0SKK7luiwGWD8/MACCQB0XnOR6Dk07MC3LbQzvG8i7imSuScc+3eoW0u0byv3ZAjDKMMRkNjdn1JwOf8adJqVpCqM86hX2lTyeGOFPtknA9aedQtRO0JmUyKpYqATgDvRqIbbafb2lrHbwhljiTy4/mztGMDHv79aY+lWkkTxyIZN6eWzOckr6Z9D39e9T/bLcRLN56eW3CndweeSPWpEkSUAo6sCoYEHOQeh+nBouwKcuk2srSu6uWkTYzhyDgZxz2xk49KzrvRNLAFtHGyu0HkqkTlcJuyST2GTz/exzmtSeWRzIsUixJEQJJHPTjJA7dMc+9ZVtMhv518oG3SPfK2cHcem8seMjkLngct1FNNgM1Pw5Ne6ZNbW98IpJwVeR493ykYwAGGDjvzjtitqzt1gt44o5mdI1CKTt6DjsPao7R0WNneWMNMwk27sBQ2AoAODzgdhkk1I+oWUKhnuogpLAYYHJHJAA7jBpO70HcgGi2oEYRpVEULQphz8qtjOPQ8DnrTItCtbdYFhMiiHJUBgcnaFBOR1AGARjGT6mtJJUkBKurAdcHOKZ58TBWWZCCxHDA7sZyPwx+lK7EZUugwMkyrNIvnSCR+h4GBt+mBj6Z9Tmc6TG13FcK2wIrDYFB+Y4y2f72BjPJx0xWhvV0DqwKkZBByCKr3Ny0ShIlDSHnJIwq92bkce3f9aWtxvYqWui21g4nM8zMqMpaVh0LbmJOOpPU98D0rRt5kniEiElSSASpU8HHQ/SqBuRdBp5SsVnGM5dwu7/ab0Hp+daaMjRqUIKEAqR0I7YpvzEOwc04DFJS96QCHI7k04dKSigQE55paSgUwFNJRmjtQAgHrSg4NFFACk0gweRSijFAAOKUUhoHWgBSeabupTSEUgQmTinA96jNOXp70A0OyaM0UYoEGeKOfWjFB9aADNANIKO1Axc+tGaYR8wbJ4GMdqXGRQAoNIN28ndwQBjHSlAxQetAB3zR19qSgHmgB1ApKSgBevNFN7+9KKQxWGVI70gBI5HNOpv4imIUAc0EUhODRnNADqTrQOlAPFAC46dKKBSe9ABjiiik780DEIyQaCMgjNFLQA0AAYp2KYFw5bJ5GMZ4p4pAJj3oIwc5paT3oAaRzQBxTuKD7UDEKimlRTj60dqAG7RRgUpNGaQwozxSZo+lACUUUUxjsUYozSZxQIWkNLmkPJoAXtSGlpOTQADiloPApjAlSASPQikA4Y60UgPbvQSM4yMnpQMjY8+1ISFUsTgDqTSuwBAOeeOBmgjK4OCD1pFIiNxErIpcZf7vvUhppiRmUlASv3SR0+lPxSGQSypEm98gEgfieKey71H3l5zwcU5kB4PP1pCcL9aLDKxu4jK0ak7l6iiozbwh/NEfzsTkmilqXocD8GiR4Xuv+vo/+givSAOc15r8Gh/xTV3/18n/0EV6YCAOa2rfxGYU/gRJTeCRnB70McAAd6YXVAWJ+VRkn6VmWPEcW0syIADkkgYHvT0SMKpRV24+UgDGD6VlMh1AFrhC8BHEB6MfRvXHftnj1yi30WnRK91OVjUbNo6ZZgAAPQcKPXn0qrEM1BbxAgiNAQCBhRxnrUioFGAMAVSOsWCKjNPtDLvGVPAxnnjj6GpBqdmZFQzqrsMhWODjAY5B6YBGc9MiizFcsPbxSoyPGjK67WDKCGHofWoX0uwkRkezgKsVLDyxztxjP0wPyohvrSTakUyEsrMozj5QcE/TJH500arZl1USksylsBTwoz8x44HB5NCuSO/s2zVVRbaNVV9yhF27WwRnj2JH0NWlRUUKqgKOgA4FMknjh272I3HAABJ/Sqr3kk8qw26MoYkGZl4XGeg654PXA479KFdhqOjhsvOMEaRGSFhKyAAlWbPzH0J+akS10+V2SOKBmVi7BAMhmyCTjufm/Wo7owafZFU3GWVwqAcvM3pn1IB57DJ6Cs+21COBp2knULFIqzzAcF+MRRjuBkZPv6k4qzYG5LbRTW7wOgMTqUZegKkYI/Kohp1qGicQLuiUqh9AcH8eQOvpUKaikdqLqeUATNiOPGCMfw89TwcnpU0F3EY4WkuYmacF48Hhlxn5fUAd/5dKLNBcZPpVldLKssIImOXwxBboOoPQ4GR3xzUy2NskxlECeYVC528hR0A9APQU9LiCXmOVG5A4YHkjI/SmXF15LLHGhlmboo7D1PoKNRDp7aC5QJPGsiA5wwyM/Sqj6NZPMZDG24srcOw5AIB69eT+easWyMgkkkn8wsRkBuFx2FWM0rtDM86Hp5V1NuPnkWViGOdy/d59BjgdBTU0KwjI2xNw7OCWJ5brznv0+nFaefyqNJ45GkVHDFG2tjseuPrRzMCgmjafAsA8kbLYfJuYkLgYHB4OOcemT61Ti0K0nmjlSN1gjBVd7H5gW3Y29NueeRknrW48YkIDcqO3r9ad04p3YFW4sYri2aB9wRiC2GKk4IPUfSo30qzdyzQhiYjFyScKeoHoT3PU8Ve/CkNTcZVNjA1q1tsIjYYYBiCR9etMl0mylxuiAO5WBBIIKnKj6A849eavcE0p6ChNiZRtdNgtBtjDYDtIAWzhmJJPueTyeeacNNtftkl35YM7hQzk5yFzgfQZJ+vNXOKKd2MzotJtYbaW3RWEczM8nPLMxyzMe5PvxjAqO60uxPmST78yBFYbidwU5AC+me2Me1ahzg45PpUSQDf5j/M/Y9l+lO7EZMOho813czPMrXPKr5hJi+XbuBPG7H5dB3zYGjWnkzxjzAJgFYg4IAAHHGAMdunJ9a1MZoxRzMDIbQopJp2nuJpY5Sh2HaAu3GAOPu5GdvTJPXtppEsZJySx6k9ak28UuKG2wKn2KMkhyWTcXCHGNxOc478+uaqR6HBHGEEj7RO07Zxl2Y53N6kds9MD0GNXHNLii7AxZ/D8Eyy/vpPMkYMHJzt55HGCeMjJOfmPrUtrolrb3i3OGdkXbGDjEfHJAHGT69ugxznVoouBRubOWeOWOO4eLzVIaRfvdMAD0A9uf51Tl8PQyr/rnUrCYogoAEZwRuAHpngdvrzW1Rii7ApWlklhaLBGeFUKOwAA4AHYCq8uli5jIlnkwz7n28Fl7LnsOg+memTWk3INKo+UVN3cfQxF8PRBl3S7185pmRlBDMfuls9SoAA7cdM81sopRQu4nHcnJNP4pAKbbe4DqWm04e9AgFHpQPWigBabS9uaQ+1MQDJNFFFAxGBKkA4OOo604AgYpRSUhC5ozTaKAF680o5xUaqVZiWYhjkA4wvHQVIOtAAevpSGlPrSE0AhpFOHFJSjihALRSd6Op9xQAtBopD9KAAU0AjPzE8/lTqD0pDE9qBwPWijFMBe+aCaTmlAoEJRQe9L2oGAoPSkpaAEAGc96WjIpc0CEIoxS0DrQBBPEJUKMzhTjJVip6+o5qQjkdeKeaYHUuUGcqATwcc+9MLjscYpvOfag7ty4I287gRSgUmgCg9aKSkMXB9aQjFOpKYriAUtFIaBi4paSlpANYcZ5oxxS0lABijiik6Yz1oACKBS0zeA23IzjOKVxjiKaacDxTTTGgA7UtJnmikAUtNJNL1pgGKM80Z5ooAU0mOaWkJA/CgBaM0gpetACcUGjPNBxSAPrmjtR0pOc8dKBjTz0pCOBQWA603eM4/maVxpMdjml4xmmbhnmlB5wKLjsBGaYRlcetPPSmNkr3GaGNGDdw6tDK5t2WWNmyoOBj1orWieSQyCSPbtOFJ7iikXqec/Bk/8AFO3Y/wCnk/8AoIr08DIzXl3wZwfDt4PS5/8AZRXqIH6VrW/iMxp/AhrAE1n3T+bMLKNsHG6cgZ2ocjH1boPoT2rS25qjpmnyWole4dXmllaRmBJyScDr6KFAHbHeoj3KZYhtFSMJufbjaBkDavpkc0jadbNPHM0QLRncgPQHAGcdMgDAPbJ9auikIzTuyTLfRLZ0Kl5stL5rHdyx3btpyPu5xx7D0pZNEsZZHYxsrOgRmViCQDnr1zz1/qBWpilA4zS5mIzm0WyYnCMgKqhCsR8qksB9Mnkd++afHpkMUs7h5CJ3DSBmyGIAHJIzjAHGcVoZqvdXEdpbSXExIRFycDJPsB3J6Yp3YiGWEQXUl0juZ5UWJEJyowSQQO3Xn6VYt4VghVByQAC2PvHGM1Xso5HU3U42yyjITqI17KPf1Pc+2KuigCjNp0U2pC+mlchYTEIycKoJyx+p4B9hVWXSbcWchRmiYlvKY8ldzZbaOMM2SMjnnrWhJBJNdIWcC3Vc7AOWbPBJ9B6ev0psUEz3TzXO3CsRCinIVf7x4+8f0HHrmrsRT/seOW2bzcLMY/LUgcRrxlVHQA4wcfnTH0Pzp7iSa7kYSqEXYoUxqAPlB9M5I4785wMbBPFITxS5mNIpMbTRrGKOGFUBKwwRoMFmPAH9SfQE1Fc6bcSWojtrpYJJJA077d28Y5UZPTp+GfWoNcSWKfTL9Y2khs52eZEGSFZGXcB327s49M1fNwklqbj7YixldysjKwA+vOfwp9ExGcuhH7LHbPcsyM++4KrtMzY7+mePoAAMdajg0i9hheEXSKsrPJKQrEljgLgHsAOh69TnnOzDKZY0LIVdlDMMfdJHQ+9RyXA+1JbRqXkblyDgIvqT6+g/pRcooHR38o2scyra+UEVCm4q2TubPdjkcnpj3p0mivIGiFwFtRt8uEIflAwWBOcncc5PXnr1zqodwJ2sCCRyOvv9KeBS5haEUaSIBmUOSxZyR146KM8dvX8+asZpo5pGZUUsTgDrSAdikxmlU7lBwRkZweopT0oAb0NG4EZBBxxxVGO5+3GQR8Qh2iDE43spIbHfaCCPfHpybcUKQLtUDk5JxjJ/yKdgHjJApwz+FVBcF7pYYk3pyXfdgL6Y455+n481c7UANNJk/hUFxdrArEKXKjJA7en/AOrrU0ZZ41Z02swBIznB9KLBceM0UelAoELmiiimAd6KM0ooAQH2pTRQaQBSZpQKDQIjboaVPuj6UHpQv3RipK6C0UUCmIWkwQxO7IIGBjpThQaYgFA/WjNAOc+1AAaSlpMcjFAwHFA5PNLij2pgNyqAKOAeAKQk5pWXkE9jmkOMk+nWkwQIxZQcYJHI9KdUW7aehIJ6DtUgNJMdhacuBikAwaUdaZLA0n1oJ5pTQITtS/SjHFFAwxSY6nvSij3pgFHWlpDQAlA56il60mKQBSH2FL2pvNAwJ5p1NAp2KAE70tHU0UAFJSjOeaOM0CGPEJAASRgg8HHSnkYpR39aDTsAlL0ooxnrQAZz70h/KloxxQAnbFMUkkjBGPXvUnSmqB19e9IBxpKCKDQAUlL9aTvQMUe1IetHpQTzQIKWkzkUtAwNNNKRQaQCCijPvRQAlNKjr3p4pppFCj0o68UlKOpoEJijHNONN70DDFJTj04pKAEoPGKXvSMMimAucUg557dqQLTqAF4pKUCg0CE74pDS0hpDEIoApaTFIZGygnPemkcZxUhxim4460WKTIxnHpR3pSDnABpQmOopFXFAIJJxg9KRweueKeKa3SmJbkJYrkgk59aKqSwymfzC/wAvZScYoqbmlkcB8FhnQbz/AK+M/wDjor1EcKTXlnwVH/EjvT/03/8AZRXqLH5OTj3ret/EZz0/gQvUjjinj9KYvTFP7ViWxy8ClFNB+lOJqkSwoFJnml70gHikdEkUo6BlPUEZBoFO7VRDExS44owOlOIAoC4zODijGaDg8GkBIOD17H1pgGOOtNIqSmkZqRpjRULW0CvvWCMSk4DbBnP1/WrI4qOQOcMgDFTnB4yMU0FyjeWElwiRpcNEgOWIHJOQc/Xj9fpUcSzQXbxwFHjGCw2ksT/tNnr7+gwAa0JVeVQqMUBPzHHOPb/GlhijgjEcaYUf5yT3+tO4XKLxasJkdZ7ZkMjFoypUBdpAAbkk5we3eoydZFpGqpA1yF3SM/3Sc9FAOenAJ/GtcilxRcRVtFmSILKWIVRguQWY9yccD6ClKefKHYfu1OVHqfU/0/P0qyeRTTSYIUdahmuEiIUKXkPRVHP/ANapQeaaI0RmYKAzcsfWhDMxVtLGaScQqJMFnIIxGT1A9MnrgZJ/AVUe4muLyNJpjCHfy1QISRwTtznAYgEk9QPTNawkWWXbHGrRhss5HGR6epzRdC1ATzokdstsUqGJJBzgfTOapMCGC7slESJcoodikQOFDlQSdvrwDz7GrbzxLatOZVWIKWMhPAGOp9qrJYwTwql1aW5WN90SGMME4wDz368j1qS6S3lVY5UEgDBlQnjIPGe2M9j3FGgjFlvzJGJGfyYyC8IcfMyjrIynoO+T+h6bNvdwJptrK8smJEXaZR87ZxgsB35GaSTTbW4SXz4FJm2mT5jltvIGfQY6dOvrT5dPgmlErhmZWDD5jgEDA4/zzzVXQmOe8tklaJriNZFALAsAQCcDPpk1Ik0byMiyIWU4YBgSD7is+fQbC4Ys8bbjIJGIcjJHQfQHnA7jPWiLQtPgmEsUJSUSGXeGOdxBXr6YJAHQUnYZq0tVjKkSMqKzFRyBzz1xk9/8ajN9kxLHEzyOeUyBtXOCxPpxx60kBbxzS4qCScjcEwccEnkA+mOpPtUkbO0KGRQrlRuAOcHuKLBck6UtV0uopZ5IUbc8YBbA4Gc45/A1NmkIcKQjNANJQA0j3oXgDOKGPFJGcqKkroOpRSUvaqEKTQaBRQAlLSijtQIKQUE4FHWgBaTAzmlFFMBMVHIrFG2YDY4NS0mCepxQFyEc8/n7UHIII/KpWTK8HHuKiIZT0JH61LRSdyRG4GaeOtVyD7g9jT0ZgRnBoQNEh60oqJ5COQueeRQJ1Prn0xz+VPQVmTZpKYsisoYHIIyKeDkZpitYBS03IzilzQAtNPWnf1pPwoABSd6WmkUAgoopPrSGOxxR3oFFMABx3oxim0uaAsLnIPGKMUlHNAh1FNz1ozmkFgJpwPvTDSE4ouO1x+aCfl96jLGgtxzRcLEhPFQTQJcRBHztyGIBxnByBke9SFsU0MD3ouFiTNGabj3o5pXCw/tSd6b25pSaAFzSHmkz70maBjqWmnoKWgQgcMzKM5Xg5FITjnBP0pxH502gaDNKDR2oHSgAJ596QL3NLjmjmgBKTrS0CgYUUd6DQAUE4pOwpaAEBzS0gozg0ALiikNL0FACilJ4poozQKwHrSdKM0Z5pDCkJpe9IaQxvU1HNCs8bRsSAeuDg1KRxQOKYyJUWKNUGcKMDJzTs0rEVGT3qSlqOIyc5NJgABR2oODzmmkj1PFAIimyAMY+hopH2ugI5B5zRQUeb/BTnQr/ANftH/sor1HHB7Zry34Jn/iSaiOwuB/6CK9RY8cVvX+NmNL4EOBApeo6U0DGakHasC2A6UE5GaU8igUEiDBHFPApgFPTvVITH9qAcdaSjPamSKTzQTmkooAKRl3LwcEcg+lLRgZoAYj7wRjBBwR6U8VE8ZZgyna46H1HoakQsVBYYPcZzTYxcUHrR0ozzSEGM0ClooAWg0neloATrTTTqaepoBCY7fzqlqcFzcQLHbMg+cbwzFdy4PGR74+oyOM5q8OT6UY6c01oMzjb3qII4p1AZiWcgfuxgABRjB79f/1JYWMscDyXPF3MWDurliq5O0KxHYY/HP0qeeSdrqOCHKg/MzgA7R+Pr/npVqWRIoi8jqqKCWJOABT6CuVr9rlNPnazRZLpY2MSscBmxwD+NULb7eiLI9oXkIAXzJAGzzlmxkDPHQcdOlaUM7TRCQxtGrH5Q3BI7Ejtn061I77ImfBO0E4HU0J9BlM3OoGTaLFNu7bky8bR1PT8vX2qOKfVZIEdrSKJy5LKX3EJnjofvEY45GaWy1aG4sFup2jhDMygFu6kgjnGSCp/Km2Wqi/nmSIKFUApzkkH+I9h9Oo788U7CHpd3iOv2q3hjjZeAsuXL54XbjHTvnj9aWGK6htER3aWRmzI4PIz6ZOPy9cgVXlutmomysUSW9ZQ00j5xCvYt3JPZeM+oArWRWVArOXIHJIAyfwoYGW9rfSakFIiWwSFQg3k/Pk7iVx82BjGTjk8U+5d9OgEsFrLNcTSLGcZYDkjc2Oigc8ewrU96hnuEgTLck/dA6k0JgZ9tPJbzSCW0n2BiTO7DqRk4GeATgYHfNW5BcXNowUCF2ztDZPHbdgjH4H8ajhw7Ca5lTcD8qBhhTnA/HtV0Ov94cnA5obAbBbw26bIY1Rc5wBjJ9T61JSB1bowP0NLmkAUvekzzRmkA00R/cFKTxSIcqOKXUfQd9acKb04pwpoTDHrS/SgClpiGgc5petKKQg44IB+lAARxQBS0hoAM4oooHSgAFBoFHvQAvemkU6m0wQ0470mDnilNC0hiAAkjoR2pNuTSkgnPemsrk5VsH3GRSsMYIzGSAeCc/SpA2F7mkIYjBIJ+mKQ8cd6Ww9x4kHoR+FPDA1COnPWlHHNCYmiYGkVtyg4Iz2PBqJXI4PUcZ9akDCncmw6jFA5oBBJHcUwE7UYpaM0BcTpSU6kI96AuN6GkPNONMJ5pFIcDS00c0ooEApcGiloAbTTweOtONNP1pMaG9aQnil7U0nAznjIpFDuCOOaQd8ClwMUDg9etAC+9LmkpRTEOzTT1oLAcEgD1JppcEcZPuBQxIUE8d6dUfmRgZ3Ln9aDL6KT+GKB2HjNOFRiQEdCPrTg4z1ouKzDGAaTFNMqqcE4z3PSjepPUZ+tK40mOycUZIqMzxqSCcGk+0LjIViPXFF0OzJ88daQmoBdxjv+GKBchuVVj7kYo5kHKyYmgdKj8z2o8zmi6DlZLnIpDiqxlcklGBxxgimGWc9lFFxqDLYOKXdgVVDNtGW59aTqeWJ+po5h8hZLc0ZquenAAoOCaOYfKWNwz1pe1VQcU8HI6/rRcTgTg4oLr681XyRSFwO9HMHKTlwOetNMyjqD+VQ+Yg/iH50Fx7/lS5h8qHmc9lJ+vFBnYD7mfoaac4z90epppDbc5Uj60ajsgM8gyQg/E0vmuey1CzED+EfVwKjW4RiQJYSR2Dg0rMdok7SSdMge+KA7Y5Y8+wqHzkY8vGP+BA0onjOMTx8+hpWY9CYbz/E36UhGOS7HPvTRKgGPNGffFHmZB/eJz/n1p2YroZKyOisGLL2IailaIuoAdVUdMCiizHdHnPwTP/Ek1L/r4H/oIr1HHI4NeVfBI/8AEo1L/ruv/oNerDHX862rfGzCn8CHAfLSg5oGCOKB1IrIocDRjNNRNoxuJ9zTs/lQIcBgUopueOKAaYh9JSE+nelHAoEBPOKO3HFKaAKYgFL3pBQaAAmgdKKBQAUDrS0h4NAC0tJnml70AHek75oooAO9IRxS0hoAMYqC4t/PABlljAz/AKt9ufxHNT5oIzQBlnRgQMX14pC7chxzyCSeOScYz6UyXQopiPMurp8y+a25+WOCAOAMY7Y6Y4wea1xSkcVV2Blf2c3mh/tDnLmRgc/McjHf+EDAHTnpU15aTXaqiXklvEQQ4jAywOOjfw/Xrzxg81Y86MT+TvHmbd23uB6mpVYMoYEFT0IpJsbM+00q3s49kAZQq7Y+h8sY/hyP55/U1Nc2zyiPY6kKCNrrlSeMEgEZxjp71bAxQKdwMSHRGtI2Ntc+XPKS882zJkfAAPBAAGMBRxgAc95ptPvnhZItTkjfyWRW2A4Y/wAR9f8A9eMdtQDBz60Zx2ouLUo2ltewgrNcrKvyhcoSVAAHJJ5YnJLH8qTUIXdVaKQRMxCu/Jbb6KOm49M9q0KpvbSedLch/Nl24hRztVOOnGep6nBOOKEwK81qp8lVRBMo2xx9kXv9O2T+A61AtnevrMSuiJYQRksQQDNI23nA6AYIwf1FaVpA8CZlfzJ25kfoCfQDso7D+uTVmncCGGMoXchQzN0HTaOn6fzqbFL25oqQEoHNFFIBD0pEyFoNKvSgfQAeaeKaBThimhMcKKSgUxAaM80E0etMB2Aaaf0ozmigQYoPej60opDEAoApcc0tMVxCD3pMYp2c5FJigBpFJ3pxpB14pDGEZNHINPI5pCKB3G/xUpG4EHkGlHWlFAEYUgY6j3pAG5JA+gOakPSkXODmlYLkeetG3IINOZSAcDJ96QEDrx9eKmxVxQSB1GfYUGXYCX4HrQgBBIII9qcU49admToRG6jyBuyT0xzTluFY4wQe2RjNGzBxjFIynHFF2VaLH+YB9famNM38KfiTim0h5pczHyoa0sw5AU+x4pvmTseQqD25NPBxS4Jpaj0XQjJkB4k49CuakDtxk/lSEYpvmIOrAd+TimrhoPLtngjn1qNt+cq5BPXPIoMsZOBLGW9N1IXRerrn60NMFYTdOWAZlx3I61JznIJ/E0wSxjH7xeenPWkkureEjfKoJyQM5oUWPQUDBJy2fqaHyFHJ+8KjW+tXGVmUgdaT7XaugcSKVJ4x7UcjDmROMgZ5FIclcHke9Z8+tW8D7CshPXgD/GmJrcEhKojbgOMgAfzp8suwuZGmoC5Az64pwPNZcGt28mMowUEqzDkD0/CnDVkLE7D5Y7g8/lRyyXQOZM0sfNnAz60E89ayn1uEblRGzj5S3TNQPr4RSu0bhzkdMU+SXYOZG3jvgZo+tc8+ryzQB0bBY7gBwR7VINZkKncqhduMjrn1o5JBzo3x06Utc4dbkdAUAyvHByD9amTxED8pRSwHIAx/Wn7OQudG2wByCOKaFAGAAB6AVi/285YMIgAOoz1oGtykN+7Ukd+lT7OQ1NG4Mk9KUjisM6zOxwERSPXJpU1O7fJAUgDOdtP2bFzo1yinkqCfcUo44rCk1yUHaAc98ClF/NInmFnUdstin7Nj50bnUU0EE4zXPS6m6Q7GZiGPbk/nTBejb8rM3oOlHs2HOb7TpGTl1/OoJtSgjH3txPRV5JrElu22jbwx7moTK74UorN03fjTVNC52bkWrRu5V0ZB2Oc5q0bmLah3jD/dycVzqmXH3FH4GnETEcnj0o5ECmzoGuY1YqZI8gZxuqu+pQKT8+fpzWUkJxk1Kto7twjYPQnik4RW7HzN7Ft9VjPCByfoMU6O8uZiRFCTj+Inii304IyvIRxzgdPz71pYA7YFS3FbFK73K8Ucp5lcE47DFPYxoQpZQx6ZPJqpe6olqwjXaz85Gfu/WsK4vp7qZXIyV4AQHFEYN6ic0tDZu9TWAHYCzK4ByKoS63cO2EAUfrVMwN8rN8vGfm9aiAAHP861VNIhybLM17NOwy7ZAx1qJXkQEo7KT75p0YRxgvtanxogYlnBwe1VohDVkchhvZt3BB6UCN06Ar6mmM+GyDjuKYSPWgB7HYSqtkkYJHSoiiOxyuWJyT60Bhk88U4NgYG38qLBcnV5g+N7FmGQCaHQgglvmOTgHoaYWZSBkg/kaM7zkkn3pAXrSYuoBLbgOtFR2EUksxKpnGep4oqWi47HI/BQgaTqWf8Anuv/AKDXq4IxnNeS/BQA6dqYyQfOU/8Ajpr1cZAx2pVv4jFT+BEoOM0q1GCQfrUgrIbHU1SckHk57Cn9aOM0WEAH4U7HFNFO7UxCY9qdSDijFMQEmgHIB6UEcUYpAKOlGc0CimIKKMUUAIDzSmk/DNBIyPegBc0Z4oPpTXYIuT9B70AOzxQKau4rlgAfTOaUHNADqQ8UUhbrQAClpoOaM0DK93fW9jD51w+1CwUEKWJYnAAA5J5rO17ULgWRttLAkvJiVUhtu0fxHPbHc9vrgHVKRzJh1VkPOCMj61iPNBqF1POdkWmW42zXGceeVJ+UH+4pzn1PHTObiKw6zkiMTb7jMEajexyTN1wSx6r1+vrjrcjv0jT7XdTeVE7CKOLB4O7aM8ZyTgegpLeQXBFzLEUjbDRRFMMR2Zh1BPGAenfnpaEFrdwAyW8ZXfvKugOGU9fqCOtDGx73ttGxV50DbguM9z0FNjv7WUt5c6sFXcxHRR7noPxqJltVfYLeMqrl3baAFbnn68/zqVI4HVpvK2iUZcOuN3GMsD7Ade1IQkGoW1wZVjckxkBsqRgkAgc98EcVaNUZZYLZhJHbAsxC5RVBPOMetXqTBBRil7U3ICkngDrntQAvFL2qCO5ilKhDu3AsMf3fX6Ht61OKAExTu1ApaBDPpRS0UDGkZoTpS0qfdpBfQMU4UnelFMTEAwOKC2CBg80ppRTATFAHpS4ooEAHrSEZ60oGKKYCHigdKDRSGLSmkHSlpiCmk0E00nmgaQE5pQKbTlFAAaXHNB6il70gG4BNKBkUHAozTAQ+goxxSiikAmKAAKWgUAB6cU084/oadSHrimCExx1P503p7088VGSSDwAPU1LGhuVYntTQVPTJ+lMYKD6nv2FNLt0GB9KRaRKOM5IHpgUhlAO0HJPc1AXVMl3CgepqP7RGckMOKpIGSy3AA2Om4MDniqMr2zLgQK3GOpGKnLCQH5hjtmoHgGScgZ9KYtCEpCwVTbqp7kMaRoLZgpEJVh6P1NI/y8HnHQ5polUdSPxo1DQY8ThgUypHXnioLm1eRt25iQOMnoe9WxOjEDPJ5zxTi4B25wOoz3ou0FkZRspC5XdhD3JPFAspUyuchgejd60y6cfOKUbWBOO3eqU2HKjFlhmRmJJxx1/KoSkhJyxBx3rdkgVxtI4qsbFOMMMY/OmprqTymdA0kQKr/EM+tKWkZGRQQCQSc1dOnkliHwf4R1FNawdXASRSCMkc/wCFPmiw5WU3R3C54Kk4Ipux2XaT0HJ9asiOeF9jAEE9eop+0q+HQAH0p3FYzA8sakAsAevOKkidzAyMWHtitB40ZskD8acqRbWUhRx/WncLGYhAVkwcN3pCmDgHj1xV0+WuV2BiPalBRiCVK4/Wi4WKm5yuwEDpjjpTwXChSxO39avRNE7bAmSe9Sm1QfMSAKTY7Gackkl2yevParVtOYoTHknk4P4VIYoC2C/v0qxHaRMocMTn0pNgkZ7KS+7n3xRiWRAjDKL0PrV0mJHKBWJA5PvT0fcnMYGeozii4WKCQfKScgCpVt0C5J69farkaMVI2AZqRLcZwQDzSbBIqi2iYAjJHqasxWyAcKPc1ZMSKp+Ucc/SpAoBAJxnoB1qXO25SjfYgMSJ/D17U37KJGycheoAq0EAcYUAevc1KAAelZubexah3I4rVExhcEVOUAHSgcds89qrXl6lsSpUFtu5TmpSbKdkWgQcVk6lqciMYrcgFSQxx39BVOS9uJgCzsqnsPl/OqxkVFLOMnHAFbQp21ZnKd9ik8jySsznLZyakVtjbwGBHTrTkVZWZ2OD3PrUTSM7bAcDp+FbGZZabzRvY89MCmYyTngHoKYqqDwDmnhGfkAkUgH4UqQWUGkRAzHew2+lMEcoZcrwfapDG4zjAB/SkBCVw3HGOmetNCNkDNSsjKck8Z600FSud6/iaYXQ9BGo2lM8daahdFYBcbuhIqULjDAhhUhfK7TGcDpzUjK43gg4BpUJYEZx61KCMZKN+dTRKg4Ck5/HNDYy5p0eCdpyMde9FWrYCKMna2SBxjgUVky0jzf4Kv8A6Dqi/wB2VD+jf4V60cBeTXkPwWOLXVuf44z+jV63vQKByciqxH8RipfAiVf51IOtRIdwqUViimOoHv1pDSj60yRQKUetNzzindsUCFxRnFFNJCjJOB1JNMkcOaKZFKkylkyVBxkjAP0pzOqKWYgKOSScAUALjmimh1dQ6nIYZBHcU6gBOlBPNFIRk0DHdaKQe9OHWmJhUKEvIzE/Kp2qPp1P58fh71KaaCANp4PNAFL7cZZ5III3+T70zABRzggepGD+XemR6jZWsUa/aGkMrZVjlixLAf1GB6dKvO6RIXJAX+ZqBbfzpRJMPlH3Iuy+59T/ACp6BoRtqdhBM6vcKhLqpJPG4jgZ6dBTjqNt9lFwH3RHO0qCdwGckeo461bKIy4KAgnOCO9Qm2gDhhBGCCSCFGcnvRoBHbXSXKhk+62Sp/vD19qlOXO3t/F7+1PCBeigZ9BTgABgUirkUsKTwyQyDMbqVYAkZBGDyOlVns7X7PFYLboYYQrKm0ELtPy4Hrx+lXsZox370J2EZEV1DPNJcb8W0DNFuBPzvnDYHoCMZ7nPbqk15Pcah9ht1aJY0DSY4JyPlUHt6k9hgDk8bGOOg65pOR0xnPOadwM4WjSRqUuVZoyV4AAVuhOOckdgeferxO45HzEdBnge5qYHigDjpii4XMkXdjbSSuFd5BhmYDILMeAMnCk5zjjg596juNeVLy1s4Yw08n7yUE8QxDqxx69B6kjGRWvsXkbRgnJ46mnbEOcqCT14607oRQGqEFY3gYTsxxGrBtq84Zm6L09T+NZmpy3V4Y4oJAwlBMcQ4DEEYc/7K9Tng8YB6Hoii4IIBBGMY7UgiQOXCgMQASByQOgoTsGhSiDadaGSYK8jENI4Y5djxgAj6AD6CtGoBAhdWO5tnKgkkAnPP16/Sp6W4gpaAKMUAIKKD1oPIpAIaRCMUrDikTp+NHUfQfRRQKYgFO4xmko7UCCgcUdqXrTADSHpR1NIaAQUCikJxQMUmjNJnNISKAsFITS9qBQMAKcD2pO3SkzQIUnmgnimkmlFACEE9/rTsUhOKXvQADOaU5xRQaAE7c0ueKCMikpAHao2kGcDk/oKGYj/ADzUZ54/SpbKSF35brn0oIJUljgUjFYVLMegzVGS7eUEqp9s9BTSbH6E8syIpJJ47mqZuJZ/9W2B2IHUVE0Es/zSuFAOQB6UCBIWUmUKvGB3NWkkJtsUwE5aRyx9zTZSscLOoxgd6WWZMMEyTjAPaohNI6kbQ3GORTsIiW5DQq4cbicYx0qUznZuIOAO3eoBauGJC7foKeU2qTzuHAFOyBEZ8yWU4Zgv4U9LUbsnlj61ZGyJVLkBiOaedqZ5GaTYWIjDCgG/aM9KheYMdqLgZ4JHJouW3lcAgr39abBGxZgenUULzAV5H3DKqF9MUzfLvYgkKQcDrjirZQEAHHFNSHORk4ANGgyiHuN+RJn2IFWN8qoC8YYdyD0qYxKrEmnrjpSbAgSRHxg4+tSZXGcjFP8AKUsMovFPK5OABUtIpMrhVIx3pRuGACSByBUptxtJDEEdM80gjlRc4DA9xQO/caVLLhgCPQjNMNtCYZAEKkgdDnFSiTacFfxFTKQysdpFF5ILJmKIWRjuTjPBPFP2qTwAPatUKhzmmPaIwztxnuOKaqdxcnYzTbgYK/KR704o7DaWz9TU5s3UnY2SOx4pPImQ8pnHsavmTJ5WiAW4PUqKUwMMFXx6c1O6MEyUAPoKYChODwaEwsRrbFpASSSPU1dSA4Hyg/U0iMAMAHPrU8Tu5CBG9Mik2CQwKA1TqpbBUAD1NTiCKJtzYJ9KGJLDjjsO1ZSn2LjHuMC4UqF6jkn+lImWCk9SOanIUAMTxWfPqtvbqyIdzqSMY5zmpSci20i4FwcE8+lV572C3bDNk9cAZrFn1G5nzglV9ATiqkjqRumlAI6Acn8q1jSvuZyqJGjd6qJ1ZEJWM9fU1RWdWdQGJXGBnpioA8ZX/VzEdyU4FOR5JW2Q2srge3b9a3jSaWiMHVi+pJkO20fLtqVkQwgFOT3x/KmW9pqMzblt1i7fPyB/I1cGkX7qVlvFCnrtX/6wquS27sL2i6IqI0MCtuVccZJI4/OqU15ZCTIlTd0IVt38q2YfDVsr75HeU988Z/rV4aRZCPZ9mUqTn3/PrRaC63J5pvZHMC9t9u/5sjoNh59+lMGqJ0SGdgD2XA/U110elWca7RbRlfdd386mWzhRdqQoq+gUAUOUF0GnUZySX80o2xWk7cdDt/oTUv2XVZmRYrVYQy5Bk+Yj69h+tdckARQqqFHoOKeIyBUOpFPRDUZtWbOXXwtJOo+3XsjDuiHA/TA/SlPhG2LZDjI6EoDj8a6nYKUJntS9tJbD9kupz8XhyNNu64kJHoSv9aurpEAA+eRu/Lf4Vp7MmgIFrOU292axgkZzabbnjaRmpY7OGNQFQCrpQbqayAjB6Vm5M0SRBsCqQBxnpRUrISKKVx2PH/guf3Wqj/aT/wBmr1ed0t0UnLEjp/WvJ/gwWEWqkAEkpgH/AIFXq88Dm0K+T5zMQGUvtz7k+g9B29a2rq9RmVJ2giSyn8/eQ0bRqQoKNkbu4z7cVdAxWPYWc2mo8KIkkkpMrSFsBnPXA7KoCj6e/XRlN0DFHGisxwWkPAHrxnPPNZWKbLOOKOM1mm51M2jMtoqztuKByMKAflDYbJJ9v1qL/iaqty8KI0mwmMTNgM2OOh+Ve2OvcmnYm5rihnVANzAZOBk96qTS3QslZEVJmwNrHJ98YyM+nOKIraZHNxNIZpdvyxjAVT/s+npk0rBcmluEQhA6hiMkk8KPU1GhN0gO5jDgFSRgv7n2pGt55VVWC4bLSEnIH+yB3/lx3qK0TVYgi3JilCu+XRuWUsduRtAGFIzjuKqwrl8sscZJGFUelQBWuGVmG1Qcj/Pr7/l61FIJrncEQERttAPALdzz1A6e5z6Uhj1RdqrNbsFUksyEFjzgYB+mTx9KEguXwAAABwKdWWLXVTOpe/jEaxgFUixubueckDgdz1PTigWmppwmoKwDL/rIgSVB+bkYxkZHtx1ot5hc06XFZ5i1L7RI4ng8sqQiFTw2eD+X86IoNTjcl7yKUGIKAYtuHyctwehGOPaiwXL5xRWZHZ6gt2ZGvQ6ZO0Mn3QQOMDg8gnPB6dBwbNml2kQW6mjlYDGVTbu56nn07UrBct9aYSwcKFyuDk56HjHH5/lVW4S+dpfIeFRtxGWBPPcnjt2pFe7hkna4aJoAq+WUBB3c5BHfPGMU7CJ5/KjYTSHJHCg88+w9arpcyyTlNhTbgkBS3B7E9Afb6fi6O3mKGaVla5YHbkcRg9gP5+vrioYrTULcMiXMbxmUMGZcPtwNwOBgktk5x0OPenYLlpUImVyhyQQTwSO+Sf0wKckySSSKjbihwxHQH0+v+NUnF3LcfZ/tO1QxaVo1AKqfuqCe569z16ZAqzao8aTxuSI1fEZPB27Rkk/727mlYdy1QOabESYkJ5JUZJqQYFILjAMU44AoNNUNyWPc4x6UwD8KUDvTiO4pB0oC4uBijFAXBpaBCUAAUoHFJ3oASjtQc0dKBhTsU0DPNO6UCYDpR9aMdKKAF70lAoPWgBpNJGeD9aU0id/qaXUfQeKWkFLjNNEhQDRR3pgFHt6UcmjtwaADPFIO9BAJ60E0AITxTGGRjJH0p5puKTKQnQClzUbE9ulOH3aY7DhzTulNBxSk0CYZpB69vegGgHjHWgBcCgmmkkGkBycmgLDgM/Snio846U8E0CFpOppCwHpiojJk8Um7DSuTEgdTTC/bFMPHbJPr2puf/rmpbGkO6moJ5xBgYPPp2p08pjj3KMnsP8awXeS481/MZgvOD6fSqjG+42zTZ3nzuO2Prk96AyOxQMoHGOevrVcOy2qRg7iw+Y0qxEYIGDjnPc1dibi3MbSldisAOKjS0ypMrEY6VIzyKDk8e9VjOX45J/lQgHiLaGC5YA96kjwI95KgE4NIHZogipz0JpRHhcFRkUAOlkUEIACG4JqIQgEEcntmpo4eeRmpNny9OO/ai4FZ7dnGSee9ILb5gWO4/nVtI9+OM4qcW5P8OBScgsUzAjdx9BTktnfGE47E8VoJbohyeTUwGOlS5DM77E55O3NAsm7kAfWtKmtwDgZPpS5mBTFivduc0osU/vn8qt0D60XYyv8AZUCgcn3pPsqdiRVmildgVfsinOXJoFqc/fOPcVa4oouwK/2VOCeSO+KBCcEZBH0qfFJkggY6mhNjK32YL/AppHhwOFIq3nNIaQJlIwkjuQai4U7Q31FaJGRiq9zbpPC6NgFlIDEA496RSfcpkc8j8afmMgZjU/UUy0VmhXLBgBgMR15+vP1qwIwMZp8w2iEpH2iA9gKkQui4VAo9zUpAHTGaAM9KTk2NRSIHJQZJ5PeohO6qXbgDnJ64q4yAr9ah8gAfd3A/lStqPoY81zc38wW0WTy16kf4/wBKzYLS5uLmRYVBCuVZ3PQjg/55rq+IY2diFRQS3sKyNIDyS3dyFZYppSyAn3Oa66TXK3Y5a100kxkXh93A+03TFc5ITp/n8K0IdIsocERBiD1fmrkaknBqwseAOAT603UexEaaepCEwMBePTFOEXsKsbM8jilC1nzmnIiv5ODR5XarBXjrQABS5hqJAI+fanCMVMFHpTiBQ5BZEQQCnbVFOxxSEc0mykkNIXuaa23bTm5FNx7ZqRpCAqKeCCOuTUYHP4U5R+dA2hw9aQuAaUZ70ECkBGXGaPMHenFFPamFMA4pDVgLjHfH0oqNlOBRTGeQ/BX5hq6e0Z/9Cr1uSWWG1aRImmccKgOCxzgc9h7+leR/BMENqx7HywB/31/jXsKNwR71riP4rMqX8NC2ysilpWDSt94jp9B7CrANMAHWngdKyKYE4ppdUQsxwAMk048n6U141kXa6hgeoIyKQiOEtI3nOMdkHoP/AK9TjO7rxUYwzl/4VOAPU9z/AEpUcuSdpAzgZ7j1piJc1HcGQW0phAMoVigPQtjj9aAGBbcQRn5cDGB/XvStgqQ2CMc59KYrGfplzFNp0CwTgIqKrMSN27HOQehz1zVpJVacLFI0ijO7uB+Pr7UqLC+dgRgABkAHtx+lSE4IAH4U7jsSZ4ozUErOCioQpc4JPYY7D1qrNI8coSJ2eQKSxY8KOOW6Y7nt7UWuBYe5PmCGLBkIyT2UepqZMogVmLEDknqaoW1xbRrKN5JTBkkYcsxH+HbsMU9NSs5XjRZ1zIQEBBG4kEgD8FJ/Ck0BfBo71nnU7TPyuXc7tqopJbaQDj2ycZ6Gp5bhYIVkk3LuIAGMkk9gB1NFmA8zKd4DqAhwzE9D1x+RqvdxyHyZYkaQo+7yy3DcEd+BjOR9KpKqTXclxNZKscR3ZJ4DDqTxywGOmQPXI4ni1eN5mjMTgryxBDbRjIz7n0Gcd8U7WEWgZW4aJix7swAH4An/AD3p7LMLUrEwMu3AZs4B9fwrOTxBa7kEySxCVmELFCwkxj7pGeTngd8VqxOZI1coylhnB6ijVAMggEEQQMWJOWY9WPrRclRbuDjDDbz3zx/WpSDUNyCYCcA7SrYPsQf6UhkwzilBIpAMjr1p1AhvzE9eKUk46ZpeDRgDp3oAFOe2KdgU2nZpiYnOOaWjPNFAC8YpCKXNJmgQgX3pSKCaM0xiBeaUDFGeaXOATSAQ0x5AvtTsggH1qnewSTx7UdkJxyOopX7Dik3qW1fd0NKeaigQooB61MaBOyeg2kTv9TTjxTV4B+tAdB4paaDyKXPFNAOoxRmg0xB2pKM8U2gEhTig9KaTQTigdhCfyqMvk4H4UrHn2pg6UFJCg5bGfen0wYI5/CnZGM0DFGPxp1NA796UHPHpQJi/yo4BpuecUA896AsIetA6UhyaazNgquMjqT0FIY9mA54z70FyF9T6ioMDbtPI7k9SfelOeAKm4+UGbJ6nFPUY+Y5AHb1oVQMZ5Pb2qIyBiR/CDgH1pMe+iJdwJLHgD1qvd3cdtDuYgFuFBPWm3l2lrbuT8zgcKDzmudAluDuZmY5ySe1XGN9WS3YsS3kk6vCSSXYEPkj8KltokQlXkXcvLZ6YqulsAAzNg+3enmNpZWkz8pPIHStCTSaWCDBzkt0xzx60z7bEzEbTjsfWqRQKoxinwojdck9MUWQEjj7Q+eg6AZp6RANyBTgmOgqZY/lJPFK4WECjHHT0p23HSnpGTyB1qzFAFOTyf5VLlYdiGJGxwKnSH+8BU2OKKlu4wCKo4AFLQTSikIOcUd6M0GgQUnXNANBoGKaaeMcUMwQdfYUxixGAKQ0PNBqssSht3JI7k1JzjHT6UXHYcXAHPWkMox3zSFAyjIz9aQLjtSuNJDFuNzFNrAgZ5H+RSidvmyh46e9PCc0FcGhXHoMEzE/6s4+tK0kmBhVz7monnUKRHG0jdAAMD8zwKES4b5pGUHj5UGQPxPX9KLhoSrvIO4jnsOBTXRSMEbh780kskdtDJNKwWNAWY+wrKGsSvZCT7K/ntyIB/CMkfM33V6E5oUWwv2LUF4srXe4COO3k8sMT97CqxPtgkj8KpNqH214FtpRBFMSI5ZOPNyhwVXqRk98ciszzGWEQiRZ/n81pCPlD7i2VHUjkdfQdarXR+0xOkhJLEYfupHII9CCAR6VsqXVm0aUpK+x18cTICXfc56kDA+gFSAYwAMCsrQdUe+t2t7nAvbfCy4GA4PR1HocfgQR2rVZlDqpOCwJHoce9ZOLTszPbRjh+lGaDVW/vFsrQuAWkY7UUd2PSnGLbshSkoq7KOpSveXK6fCRjIaVvQen9fyrRigSJFRBhVGAKq6dbfZkLOS08nzOTyc1qIA3OK6JNJKKOWKcm5MRIwgye1SjrSkcdBSgVi9TbYTBNAXFP6UUANx60bRmlzS5oEAoNJnFANMBCcUlOIzTTSY0NooopFDMZHXGaeO2aaCCTg5xxTiKQMDTM5NOJzTDw2aTGhScUxmwpPU+lO6jNRuuRnsKQ0KUDHJoqNpMewoosM8i+CvXVuP8Ann/7NXr0Z5ryL4K5K6sB6p/7NXrsXUVviP4jMqXwIsKAc1JnFMxxTlGcE1iNjhnnp7U3kAnrT+wo/DAoEV0t1YqzMWwo4P6kemc1XNukd9LJb7mnmChyWyI1A/h9M+g781cdH8srC4Vj0JGQKWKMRLjOSfvH1NVckqzaas8SqZ7hGQYVkkIK8jnvk8d89TSpYbV2m5mYFizFtpLex+Xp06egq6KcKLsCpbWqWcWxGcrk4BI7nPYc/U81YAxz1Jp9B6dKAIpIY54ykqK6HqCMikigighEUcarGBjaBxipaQmi4DPKjwR5a4JyRtHP+cCmOYBIqsqk5JHy52nByfbjNRTzOjhADluFUdW/wA7n/wCtWfcTvHFtVRIXby1PZmPRV9Rwcsff3ppXCxsJFEmCkajA4woGB7UF0whB3buVxzn3qvFeqtsS7B3hwkhVSoLYGcZ7c/T3qRCXjL5ZiwwCnGM/3c/zosInOCPaoQ5dyoTMeOWJ6+wHeq0pitrYbmYwrgKoOCx6Acdvr+PFT+a4kjTyTyuXI6LweAcc8j2osMmHA5HFPA9KpSLM05CzbCV+VQM7R3Y+p+v+JqeB9wdAkiiNtuZB97gHI9RzjPsaQNkxpuDmlzijNICG2ZXi3Ifk3MqjsuCR/TpU55HSuU8GzvIddi3loodWmVPYEhiPzJ/Ouq6jrVNWdgExz1p3Prmk70p5FIA6jrg06mZwaX8aYh1JnFITikz+NK40hd1LmmdBwKAQaLhYeaKO3ejufSmIUdTRxSZpQaYB3opDQD70gFGKKM0Zx2oAaelNTPP1pxOaap61I1sPFKKYDmniqEwFL2pPxpCc96AE60mc0p4zSE45pjAkAUwkk9aCc9aazBRk8UDSEJwevFMyScijO7PSgEAUDHZPSng8EVEG54p45GaBDwcilJwRTRx060cn60DFJoHJFJnsaYZAmewoAWRmBCrwD95vT2+tMJwMAYFRmUyHj/6wpGDvxvwOpP8AhUtNlLQcXx9fSh7iO2hMkjHJ4A9fpVSe4jtl6EsfujufrVaJTcS+fMSVXGB79lFOMbasG76IuG7lnhXKGMsTgHrt9alj2gA9FUZP5U3d1c8kiq13dGBCnQZ+Y+vFSldg3ZWIrkpPIXOSrdQaovcKgwgVVNMuLktnLcEZA7VXCNIufet0jNstidXwoIOOtTLwuQCarRwFRkDAq/EyqvK5FJgiEAsFxk4qeKEgg+tOSMM+4ADI5rSjhUoMACpchpFZE5B6kVYjgLYZ+Pap0iAqUDmpbHsMWNVGAOKfilozUiE60HrS0GgBKWigUgCkIopc0AFNbAXJ7YoZ9o6ZJ4Aqq0rmdkYgKg3Ej+LOcflg/pQG5L95wcDPTPtTzgck8D1oGAM9uuaqtm7OCP8ARwf++z/8T/P+absUNS+BlyY9sDcJKTwx/oD2Pf8ALN0YYYrn9WvUuIntEwYWBWQg9e20f41jafdPZanHDqVxNLG21baZpCoLZ4WQjq2OhOQcDoeqUk3Zst05WvY7nHApDWLG/wBi1GCOXUUWJkP7pnDM8meQSRkgBlxyD0zmth3CKWPQelU1YhCSSpEm522jIH1PoPeoZEafK5ZY+hAOCfx7CngqyB3wAozk8Y9/as+61QY22/3f75/oP60m0tyoxbdkWpriGyQLjc+PlUdT9f8AGm6VqKalaFygjnjYpNEGzsYdRnuCCCD3BFYUlwxJwCxJ5J6mq1pfvD4hiW0V55HAju4o+VROSrM3QMCTgdSCeDxiYyu7WNJ0rRvfU6a+gkmVNj4VWLOm0HzF2kbcnpzg59q56W7a4aQOvlgMSU9Dnv6nOevT2rop7uK2hMs8ixoO5/kPU1yF9qcd20tzBZ3AgDBWcKW+YnA4GeT6DP61vT32HSlGMrSJTOiZ3KMe561S8ya+umttPgNzOpw2GxHHnu7dB/ujLH0rRs9Au9RCvf7rS05xAjfvXH+0w+6PZefcdK6e2tLeytktrWBIokGFRFwBWkqiWiNalfpEzNH0EadKbqe4a4vWXaWxtVFJB2qvpwOTk+9ak6GRODh1O5T6H/Cm3V5BZIHuJAufur1LfQd6z8X2qrlt1pat/Dn52Hv6f561Ci5avY45VLPux02swqgSJDJcHgoP4T6Ejv8ASi1sp5p1ub5t0g+6gHC/hVu2srezTbDGqnuepP41aVOc85q+aMVaKMbSk/eYiRAHnrU6jHApAuBTwKzbuaJWQopaTHFLSAT60HrRxR1pgGeaD7Ud6SkAg704UgFLnkjFAATRmkxjmkHPNAxSaYeakx+dMPWkwQgAHQdaWjFGaQxDTCOafxmm5GaTGgIwKYehFKSCDxSAYouUiJ0bPNFSsAQKKAueOfBVgv8AaxPQeXx/31XrsDbmwFIHqa8f+CnM2rjtiL/2evZUUKBgde9bYjSozKl8CJAw3baf0/8Ar0xevTmnZ5INYlMfRSDpS+lMQ4UHPbFICMUtBICnCmHg8U6gBCwBA5z9KXOaQDNKMYoAMUYooPtTAbtBPIFAVQoAAAHQDtS0jEKpY8AUABKqCeAO9VzvuGKgmOIH5iOre3sKdhpjxkDuQensPf37VI3yKAox2Ax0p7BboKoVTsHYZ9aR3K4RAC56DPT3PtVZI55Mq+5FJOMNjA9eOST17AUpj+yIHRnYs6ht7Fi24hc5PTrQBaSMIpycknLE9zT6MZFHOQKQhp9qztTmv/IaHS4ka5b5RLMcRxZ/iPdiPQfiRWkRTTndjAx65oTsMzNA0eLQtLSyjcytuaSWVgA0jscljj3P5YrUI/A0UCi93dgNB5p2abnNOxSGJ1Oe9OJxTQRml6imIaRmlAxR0OP1peaQxCMjFAAHQU6g+uKYgHSl700UdaYCn2o9hS4oFACHJoApxpAeaBAKMUd6M0DGsKag6/WnNmmRg5bPrUj6DwKfTcc06qRLGk56Gk5zTu9MPPFMYHNNJz9KU8Conf8AKgoV3wKrZZ2yeg6DNOLbjmgc+1OwCg8UFugFBYKOabuGOCKBDgfm4qVenNRoOmakLgL6UmCHg/nSMQpye9ReYc1HI5YE7yPp6UDFknCg88+1UzO8jrg/L0OabK2flGfQD0pYYyCM8jqaaVwehYQAAf5zVa7vUtVCZ3SNyo9PrS3N2IgUTl+wx0rGDtLOXkLEk85NUlcTZZiUupdiWYnrWpBDiJV29OTnuTVa0QSMWUYVRjHqa0PuKScADqazk7uxcVZXIxtMoyQAPWs2UvCkiOmSxIIqvd3oe6BUBlxjmoDO7sScknrk5JrSMbIiUrj50jfAQc4yT/SnwRFFwT17VLFFHtVi2D1qdIVYfKxzTbEkRo4BK4Jz0x2NTpG5YZ60sUIQ88tV+3t8kMw4qHIdgig3AADp1Jq4iBFwKcAFXAFB5qLgAHoaXGOaBRnNAhCaKKSkMWj60lLSAM0mcUDrRSGJk0uaQHiqlxM3npCCACVOc8nDZOPbA/UU0BLcyeTG82MlFOB/n8Krae8txCtzPGsTyqpKBs7R2Ge/U1JLKZDNEEBVQFJLdSRyMfQjn3qjLJJBpsnlRhkiRmYRjG7GTtXJ/Wi/TqNLQvuftDMg/wBSvDH+97fSsjVNWXm3t2AReHYfyFVb+4uUjktLRnNxIcvjLLEqjJBJONxz9B36c83fvOFeCSVcPNtY5KrHgHcuerYwc9M9O9TKLXzNaSTd2aCXHnTYDqVXqAc49M1Zl8idDBIgZGGGU9xWLb32n22II5wzFc9CScZ/wPFRXmroISbV1aVsqCATjpk9OSMjj1+hxlyu+h180WtTWtNljfLbytHFLM22G+ePcWX/AJ5NyMZ4OQRnAzXURRajKyCe5CRoFOUUb2PcMeQB9B39q4M6jHPZtHfufK2ZY7GwRz/FjtgnPHTNaHhnVdS1HSZFkSZtPV9sUzkCWVNuQD6Dp83GQR65reLbWpyVIpS0PQNqlSuAQeCD3rntTWHTkZ5ZFjt8ZVm6L/s5/kO9blsgS1iUIqBUUBVbIUAdAe4pt29tHD5t1s8tDuBYZwexHvQ4qWhEZuLujmbTTL7V8MwksLE4+YjbNKPYH7g9z83sOta0v2DQLIQWluq7QSEU4HuzMep9zkmsm98S3V7OsGlwMVJ2knqT9R0+g5q5pmhyLMbnUZvPlY7gn8Kn1x3OK3jSsrvQynWcnoU7HTpNbuPtOpu3lDJjgGVDD19Qv6nvXTrEkUaxxoqIvAAGAPwpHhR1AIPy9CpII/KkMCMoBaTj/po3+NRJX22Gpd9x7FUUs7BVHJJOAKzZdSe4Yw6aglY8GY/dX39/89atTWVtOgSRWZQQ2CzEcfjViKJEXbGgVfQDFVFRWr1ZMpSexSttKSKU3Fw7XFweS7849gO1XgpPFShScZ4pwUCk5NjUUkRLGe4wakCgCnAcUtTcYAYo6CkLY60u4etAC0nOKM0gNAC4pO9LnNIO9MApeBSUpFIYdKBk0UYpiEJxmmg5p5ph4OcVI0SD0ppHWgHI5pSM5oFsR80055qSmEHPbFIpMPrSU4DjpTcY4pMYEAimEMWBDYA6j1p+MLyc0gpDI3GAAf0oqRsY5op2Hc8U+CpP2rVvTZFx+LV7PEOd34V4x8FTi91UeqRfzevawMKMYFbYn+IzKj8CHZFHU5oGSBnrSkZFYFjutOxxTQBtGKd2pkhjFLmkAoI5piHDtSmmikzzzTFYd2pMYGBRmg80AICcnvS55xRig0AApHRZFKsoYHqDSikzg0AOAAGBx7UhHrzzmgGnAZFAhjqShUMVJGMjqPeokicsGmdXKnKgJtGfXqeasgcUYpgBpM0v1pCKQAabkZx39KWkx3oBAeO1LSUZpDAgUhJ4waXNIPpxTGJg5z+lOFITz7UbqA3HnkYph4OPypwPFNJzwaGJDqO1NBIyKdnigAoHekB4opgOxxRRmgHIOOtAhM0UUg4NAxx69KSjPNAFACMfrTE6t9aeaan3j9akFsPopPxo4HSqQB7UhOKCeaY7j8KY0MdyfpVdnLNweKmc54FQM23gdqaAASeB0p4IReTUScZY9TQWLfhTsIcTnJ/KkGM8nmowXDNkcY4NPB555NFgJgcL9KYzFunFIGGODTWYAHBGaQwdyF4bHviq7zEjiiRyTx92ozD5q4bdjvj09KNxhAxlbI+72Pr9ParLyiIbFxux19PembvLUAAbiOB6Cq0r72wM7R1PqapITZXkfJZ8EkZP1qiPnc4OCTmrkzKFwG+Y9s80tlCHuV44UZNDdlcErs1bOPyrVFI5xzTrlwkDerDaBUhIVe1ULqYF89lHA9TWUVdlt2M6W3VgzAhWXGcetRQxgSBiv0qcIHLNy2eSBU8aZGSoFbXMxQN3YZHQVLFGSfl65walgi8wjA4rRjiC9uazcrFJDbe2CqC3Jq2BjpSKKf2qNxMQdKKM0ds0xBSE0ZpO9IYAk0GqtxfQWjBG3PKwysaDLEeuOw+tNg1BZm2yJ5RIyoZ1JPPoKai2r2FzK5dopoYEnBGR1pakYdKKPfvUM86QBC5xvYIvHVj0FIY03cC3qWZcCd42lVMdVUgE5+rCoL+2jnMLNvDo2FZGKkAjBGR2P9Ko21jDc6lFczhxcW00rRkHAIyykf7uHHHqPatJ2aVzGhwo4Zh/IU5NR2GkVnhjkkZYVCKw2yOOC2BgAH+tSRARoLadQyMMKSvDD0PvUiFTlVXCqcD3qcopXDDI6VCTbvfUt6KwKiLyqKPoMVn6hpsdym5EQSLnHGAfWrCytauElOUY4V/T2NWuCM9qafNdMlNxd0cRJAIZCpTBGeo5HtUYiTknCqPmJPAHrXU6lpouVMiACZR/30PSuQeyn1GO6uLm3f8As2zfa1sTta6cEfe7qgznHVvp1lU25W6HUq0eW/Um0zSm8SOJplZdFU5VDwbxh3PpGD/319OvR6RaxSW63YAAlLOE2Y25JyCTyQOQOgxjioUnv720tbdkWzae2O5ACCjLtyVI/h5wOQeQai1nWWtY/KsVDjrI458sHuBW1rK3Q5W3KV3uTXmrwaNLsLGUMeIk5Kn/AA9qpiDUdblMlwghtmGFQ9QM/wA/p+ZrN+yK6JPA/mTBg/mE53V1GnaimoWocYDrww6bTWlFxUW46syrQkmrvRktlplvZRhIY1XjrjmrRGc45xSKWPU8VIqZzgHNVKV3dkKKSshg560pHPHSnYIHqacFyATU3KSIwmevAqUIFoAzTgMcVLZQD8MUppOKQE5xSGL0prHil60p5pARHjvSkgimuD6U4A4HakWKpyDSjrQCBThVIkSjvQwyCD0PFAGBgUxAB2pelHejt/jQAoFFGOc549KDigQU0j8adSZpDGlRTu1Bpo4WkMXg0007tTDQNATxSHJpSOKB1pAIRim9vSlI59aKRQ0jj2ooZtvNFFxnh/wYl2avqMeMloVbP+6x/wDiq9uVm2k4z6V4n8GMf2nqWevlp/Nq9sQ5A9q2xP8AEMaPwIeDzjualHSoBuJB6VOnFYouQoFKORR0NKOlBInSjPNGaO9MA5OaaTT+aaRigEIDzT8YpoHNOPSgGApTSc4oLDp3oEAoIpAeaXHFAAOtOHHSm0tNAOzzRSUYoEBHNGOKB1pRTATGKSnEUzuaGNBgUYpe9FIBmKXoKUjpTaQ9wNJiil6UDHdqSjtyKSmIWjOTiigj0oAUcGjNIPenYoEANKDimgcmnHrTENLEEALkHqc9KMc0pFAFAxQKDnn9BRRnigQhqND8xxT2NQRNmWVScjII9hgVLKWxMaTPPWkLY+lMd8DjrVIdhzvgVEWwMnoKieTGegqu77/UD0ppCJw+QSR9KjyMnPUmkD5PQ89MUrtgZ4zVIQOwHANMDAZGaaeaT1z1p2Af705WwpqEnBA5pV3BTwN3akwQruc7FIDHnnsPWmO4ClQee5pjsEU4OSeWJpIB5yhx909D6+9IoeikjJqQsFBA69hTgCq8DgVFI5RS+MsaaJZHI53bAeT94/0pgb1xgAmmA53E8k1DIxLBMjGORTAi5kcu2BjuK1rG2MUIZh87c89qrWsAecEgYXnB/StIkY4NZyfQuK6lbUJQlq437SwODWMjskYQng8nJ61cv5mEvKhlXPXoazQXmbAUDngAdKuC0uTJl63JL8HK96vpCZWAA49u9V7SDeAg7dTW1bwLEvApSlYEh8UKxqABUmMUtIKyGOBpSRTT0pQadxWHd6Q/pQKCetAhBVCe8eRzBZjc2dry4yF9h6n9B39KilmfUpGtrZysCnEkoP3vVV9vetGGCO3jCRqFCjAwKuyjq9xXuV7WxjtlYgbpGO5nY7mJ9Se9WGVXXa6BlPBBGRUneg1LbbuNaaGe9rNB89ozMo/5YueB/unt9DkfSlgvVZvLuP3co454z/gf096visvWLfzIYpFcxyq4VXAH8RxgjuMnpVJp6MVmtjR71ja5OjxJarIyztPEFIyOSTjB9cKfpx6isqfX5LG2Nj+8+0CNl8xEBC7cguoPBHB+U91x6VNqxkuBCkLrLdhkleWOMgRL82CeeBuB9+Pak4uOpSdzUjxY2CxSXJcRKTNcOACTnJP1JNVl1tLhoINKi89mYeaSCqwrnktno3XC9aZJpV1PpIsRdRzKzNI0z7lYNuDKFA7Dpyc4ApNP0a7092xfL5LOXZEiALcAKM9hgdAKzst29S9C3b6jbBJE3lhbqPMlA+Ut6A9z9KsRahFK0cYVw7jdgr0Ge5HAz2qjPZzJGjQvEvlAsUKcM/Y8Y6dBkH15xVaxspb+0guWuZIpCzG4QAEtIG2kE9AFwQABjoapLqN2N64aKO3kaUqIwCzE9MVVtpHhVd6kRNypJyVHbNUr/RZJraYyXMsoAaRUAJ+YD5QBnt6d/bnNmysXab7VM2Cy7fL2j5VHG3gkY4ycd+9S431W4rqxpSljERGMseBzisc6ZcjTvsxeM/6QZsAE7h5hcKSevZTWhk2hwcmHsTzs/wDrfyrC13xE0TmysCGmPDOOcew/xq6d5OyWpEmoq72LOu3ObNrKBwWkbDHPKjOTj6etYMDrZMLWTofuTH+I+jf7VWdK0S/8qa5upBFNKwZIyMjAH8XcE8dPTpReW/ytFeRMpbhSeUP0b/HBqa0ZRdt0b0Jwav1KYLWUzSRhmtycug52n+8vt6ipre6Fnc/bYSGjIG8A8MCetQxubMLHcudh4SV+/sx9f51Y0bQzfXRupA0dkW3LHkgSN13Y7Dj/ADmlRUua/QrEShy2e52MTJJEsinKsAwPsamUZzTVComAOAOgFSr90Y6Hmtm0ciTGhTwaUjinEU01LZSDOKBzSUo60hi4wKOtBozTEBFFBo6CgAwPSg9qAc0daAG4zQMinAUEUDFBBFBpKbnmi4rDs5peaaO9KPu80AAJzSmkxzmjnii4ADkUzeoOKcelROPmBxSbGlclzSD9DSdqQZ3e1ILD6b3peKb3oGhCBSA4IGKUkfnQQOO1AxxIxTD7U09ODTCz7sbeAcZJ60mxpDZS3QUUkh9MY+lFFirnh3wdcjX7yP8AvQZ/Jv8A69e6QDCV4J8IW2+K5R/et2/9CFe+QnKe9b4r+IYUfgJAOakBqBAQuMk1LkjHGRXOjRj880oNNBHU4oBpkig5p2aYDTs4oTEx1NIBPPNKDzQaYhOlAYUGkpDFzzRgE5pB1p3emAAc0tJnFGcigQpGfelHFJzn2pRjmmIDRQaSi4x2eaAc0wmgGi4WHg5pCOTSE5oJ96LisHegUlIQaBgTig9KOtBHA7UhiZ4pcUY5opgL0pCM0YOe2KXFADelOBpDQBQAufTrSg0h6cUAe9MQvfIo9qXFJQAtJnmg9KMUAFBNGOtBFADDUCH99IcYHHPrxU7cVAWCk/rUlIV3HPPIqIuDnNKWDZPSq0snVQP/AK9WkDGync1IvAGSCaaOu480gbB9zVEkof5ue1IXB55NNUAjJHWkZsDA4xQAm4Z46Uhb0xTeG570ZPZee1MLXHgjOD1qMyFVwGz6k0rEIpAPJ6kmmRwidDuB2N+G4f4VLdykhkUb3Tl8/uh0GPve59q0UQIuMDmhECKAAKkAAyTRsDdyN2VFAPBNUnkMjccKP1qS4duoxljjJPQVXPyJtGN3T6c00SxC2Wz2HFQbj9oOEUcenXipwuB0piKpuCeuBTQF61TAJPWpJGwvpSoQFAAxgDNQ3L4Vu2BWT1ZotEZErtPO2CQoOAB3FT28JZ9oB3NwKZAm9squB2rdsbTyl3sBuPT2rRuyI6ktvapCoAHPc1YAp2KAKx3KuIaKDQSBkk4HrQIKTms99TDOY7KJrmQHBI4Rfq3f8M0nkXk/NxeMqnqkA2gf8C61oqberIc0tEXprmG3UGV1XJwAepPsO9UZTdajIYgDb2o++T99/b/ZH60+G0hR8Qr84PzSMdxX2ye9XkRUXaowKd1HbUNWEEKQRhI1CqBxUnegdKKzvfcYhOKBxR161WE4Vrh5G2xxc5I6ADJP86Bi3E8g8kQqhLTBG3f3eS2PfANMv1doAsYJYOjYHJIDLn9KZfutrGtwqFpC6qg7MzHaPYdQM0yJZInLF3kuZVXcGOVj45wO2fTPWm2krsEuxm6kjSzf2VHbRStOuZJZF/gLNux7ruBH16UWdnJoDsryvPDM5ZpXPJYnofT27cnp1rVNt9nczwqGkI+fI5b8fWpleO5iI4ZG+VgR+YIoVS+jQOPVFZcR5lg+aI/eTuv4f0qUzJJgIwIHJxVSSzks2DWrkx5A2E8rz0B7j2P4Uv2doXMkILFjl09fcVnNcr93VGkNdy+gyORWbM8WjKFhhlmkuJWdgPmPXLfTAPArTgdZYw6sCKinSR7qLH+rKOCcfdb5cH8t351cbfIlvUzZTNeXws2aNvLZbjDDBj54HA688HPVTWwAFBAGBkn8+aecDJOAAOtcvq+uvPI1pp5JXO15V5LH0X/GrjFzdkQ5Jass61qyC3kgt5f3h+VivPXsP61X0HRY7dftEkfzkDZnnA9f8Kl0nRPLK3N0oaQD5UIyF78+9b6x8ZxW75acbLcx96bu9iPZmo3gEisjorKeCCMg1dAAFNKjPFZcxpymH/wj1oZ1fDeWvSInI/XoPathECqAAAAMADipQvtSgc+9Lm0sO13dgq4px6cUYpakY360YpT1o6CgBMUgFKKKBiUg60vNIDzSAWmk4+tO70jg5GKAFXoKUUgBAxkmlx+tMAFFLSYoEBpCOaWjvQMaRijPajHzHn8PSgigYgJPPalGSoz1oBpM8UgFpOBQWAHtTSy5OTzjOKLAKzLnqPzpQB1xz0qpLcpFnKk4APTP5c1NbS+dEWxgg4ptNK4rkpGKaTTjTDUFITg0E5HpQRR25oKGgHOOMUyQ8egqQHnrQ4BWgCoJC33lwB0wc0VIUA60UDPAvhM5XxiB6wP/ADFe+QyBVwQc59K8A+FBA8axA94H/pX0HDymfeujFfxDGh8BJuUYGRn0qQVGPv8AT8akFcxoxaKO9FAhAeacPSmjrTxTExR70tID0opkiGkzSkZoxSGAFLSZoApgKKBQf1oFAhfajvSdTSnigBaMUg6UA0AIRQBSk9aB0oAKMUtFNANApaU9KbnmmG4uMikP0pwpD0oAaaB0pSKT60hig0UhIBxnmgGgBR0oA70m7B5xTqYgxxRRSGgBaWkBpRQAlIOvNONJQAopp604GmngUAhjH3qmWJkbOParLt2qqT8zZ6dqRa0Qx5OR6dsVC53ZPrRI2HwKjZx/9atESxCxJ44ApATkCmuxHQd+aVR83J9qYiYuO1QuxPFIx96Rc7hnn1oAC2FGMknj61IDtUZALHrjt7UwBcdyRkZJpUXLAHpSbKSsPSIOp3jg9qtIpyD+lIq4qUDaKNhBwCATyelDt8hFGfwqtdvIICYzgg8njpQhFe4IMijOdvJx61A3zP3GTk0iSbsEqSTz+NKDuJc456UAOfAQ4IBA71HbEqxbGSKSVztOKWyy8hJ4C8n3PahuyGldmtEuEJOMn0qjfzbYyijLMMVf3BUBJAGO9ZZBudSVQPkXv61mt7lsu6ZabIxuwe5rVHIpkSBFxipOKTd2LYUUtNqnfX4tAqInmTucJGD+p9BRFNuyJbtuS3d3FZQmSVupwqjksfQDuayRbXmpOZL9ikJOVtkPAH+0f4v5Vahsm80XF5IJrjHBAwq+yjtV3qeK3UVH1Mm3L0Ioo1iUIihVHQAdKeAxcJ/DjLHPT/PNOOEXJNSIDjJGCamTsioocoAUAdKcOlNG4AA4JxycYp2e9Yli0mcUZppIBAIJ3HHA9u9ADjWVPve1nhj+9O7qpHYDOf5EVoSSbEcrhnClgO5/Cs1DNDCsl4YWuV3MmwFVRW6lgSeev8h3NO6SuwWpSe+mGn6gjxnEEpkgfayhlBDgkEcbSdv1U++N63iWNM5LM3LMeprKEkd2HtDbmaKUGO5d8qTuXoBjPQ+2BV25vVhljtotslzJyse7GFyMsfYZ/GktdWU1bQuk1TnjMJa4jIGBlwejAf1ojvM3cttKV3qocEZAK9/xHH5ionuGMZkmO2JB1243e+OePQdaTSYJMWKcXIEnIHRVPUH396feJKLOTyYzJIRgqGCkgnnBNMWFgRcRDDsMlTxkeh96uQSJIu4ZBBwQeoPvRF66jltoYVvfvBICNzbj0KnLY69uGHOVPJwSK2o7iOWEyqwK4yT6Vla7a29vby32VAOPNifOJj2+jehH/wBesO00271pkvhestnKdypt2kr23KOCRj7w6jmtvZp6xdkZc9lruaeqX738hsLRmJPysBkA+5Pp7fnV7StHg0+NcKGlI+ZyOTU9lp1vZKUhQ7mOWcnJY+5q+iAAZrVyUVaJnyuTuxyptHFO/Sm+YvmeXzkLn7pxj69KWsW7miQp4HtTR1paKQxR1oxzScigHOaLgLmim0FwCATgnpRcLDu9A5FNFL3ouFhaQ/SijrQAUgAzQeKUUhgBQBzk0A5FL0NMQe1L2pueaUGmAvekIozSZ5oAKMUE88UZ560gE5BoNGRTSRQMTPNGOKMDH+FLSKDHFJtB5wKeelNPSgQxo1b+FT7YFIgWEBApAJ65zz9accNweh4xRx35xTuFh2KSl7U0/lUjQh4NB5FByQKAMA0rDGhaQ8dSKcOvFIRj/wCvRYdyJ1yeoFFNLhWIbp2zRQUfPfwsYL44tQf4o5B/47X0RFxHXzj8Mm2+O9PHqJB/441fRsZ+TGcGujF/Gjno/CSgc5z1p4qFBjC7iee9SiudGrHfSg0DqaM80EiLyafTBxmnA9M0Axe4paQgZpAaBDs0negGlxQAmPWgdc0uKTpTAUjI9KKbupQeaAsOHFLjmkBoJxnAzTJFoxTQ4pd1A9QpR04pp60oJxQhC96U00Zo59aAFJyKaFpTwKTdzQNDh0pT06U0HPelIpiEIpMU6jj2oHcYRzTTnPFS4pMUWBMjAPengUope1FgbGE0HIwacRQRxQFxKcKTHtS0AwNJilOKD0oATHNRs3FOJ4qFzgUDSI5G9arE9WB796knfCHHJPSoCcKR0yaEURSsBg8Z71F1HtT5PU1EvzD6VaIAYOT0NKTtUA/WlKfN7UhBJ9qYCj5xjGBTX2ouPWlDhZNgBYgZb0X0qtO7Fgo5Zj8oqW7FJXZMr5BxgKKtW6b1DlcZ5GfSq0VsQoQ5O7lua0ANvTApIGSDAFG4MfamZJFIHxkmmIdK4C5JqhdnzIlBJ4fpT5ZNxODgCqwbzDnnAPpTWghCQqhR1PFPI/d4qGR/3wC9Kn7fhQBWum2RhcZJqxpSM0JbAA3H+VULp2kdVU5yQoFb1vEsEQRP4Vx9TUy2sVHcju32278/wkc/SotHgZsSk59aq6m7l1iA68k/0rZ0+IxWqgggnmp2RT3LmcUZpDVTULv7FaFwu6RjtQYzlj0pJXdiW7K468uxbAIi77huETP6n2qG0sjE7XE7+ZcPyz+nsKjsLJoi1zckvcyDJJ/h9qukk1skorQxvzPUUnk9KbJIkEe9zgdAAMlj6AdzTgM0kIDzyOV5Q7FJ9wCT/IfhQ3ZAlqLAsjDzJl2k/dj/ALv1Pc/oP1qxgUEAjB6GgisW2zVDhSGimu6RqXdlVR1JOAKQAxCqWJwAMmqs+owQwJIGy0i7o06F+nAz35A/GprmSKGEyTOFjHBJOAM8f1rLhgDNbXcsZNysO2NCCCpON2fbIH+TT0SuwSuNRJbe+F3M4a4mjYbD8oRcqQDz2+bJ71bnWaO3JghE80h+YkgAccMc9QOOBVaRHtrvzJN0wKliO4POce3T6Z96uWMYgsoo+MKvAHRR6D2HT8KhO7uy7WRjQ2OuwO0kMloS6qMTbiVJOWPA5P5ZJ9AK0ZImt5rm5SKM3Eu1UJYklQB7cc54HtV6SQIOhJ7AVWkQzwSJIzDepBKnBGfQ+3rTuNK+rKJsrl7mKYSKgRGBAbO5ic/NxyCcE9OlR3mn39wEaW6jVIiGUElQ7dskdMEjH+cwWk50jzGuEnit5ZlWKF23kcEErgnAY4wv14rQuDcX01xaosY8t1yZOmxlYZGMncGBODjj0zmqUeonILfTbkuss12GfG0CFSqovcKMnkkdTzxU62Vxbs0ousjduYMpOV/u5JPH/wBf1q+WSKMu7BVUEkk8AVyt9qtzrF0bKyRlhJwX/vD+n+FXCDkzOc+Vak92n/CQ3kcYZltojlwfXPT/AD/jW9GiIqoiqqqMKB0AqC1tktIFhjHA+8f7x9atomBWsmkrIzim3dj1Tkk1JjAoUUd6xbLA9MUlKTSUDCg0uKKAEHP1oA5pQeKKLAIRSY4pxFGDiiwXGdBQc8YAPPOT2qQrTSM8f1osFwOT0oGe9LS0ANOO9AAIoxS0AJ0ozS9qTqSPTrxQAlLTQPelxQMD1pAOadg0YzRYLid6YTg1Jt9KaUBPNA0yM57U4DNOIwOKTnNAXI1GwbRwB0FLyKdjnml25pWHcZz1PAp3OKXZkc0AY4NArjWBI44NNB/OpCvFMI9qTGmGePakDA0vv60bfSgY7pTDyKXBB55FIRk0MEMUsCc8inkrjJoxg0EZWhDIpFBTIweaKRyUXJUMPyNFFh3Pm34dNt8daZzgl3H/AI41fRkUbshI4z6V83+AW2eN9Jb/AKbEfmrCvpa3PyHjjNdOL+NGFD4WNQOG5JNWFz1JpgxvI/GpgOa5EasQU4e9IKcBxQJiDmgZz7elLwBS0xCYNJg5p9IetMVw6UClzSA0AGaQ5Jpc0ChgNApRxQKKAHdaQjtQD0peTTAAvFKFpM+tKDQLUCOaUDFGRijNAgxz7UEHnFAPNL3pgNwaCKDTQ2ex/KlcY4ECgdSc9aj2nzN2TjGMVJ2ppgGcUbgaSkxigLDs0E+lN6UZoCwZwaXNNXkZxj2pSOcUhjgQacOaaBThxTRLEpoBwMjB74p45opgIRTaeaYaQ0Iehqs7cZPQ9BUjtxjtVadwF469KEURtgk5GTVeViuT3zgVNngkCqshx155qgInJOBnP1pQTgYFR5JYdRTyecA8UyR6knPWnAHPQ5NCLmkd8ZQHnvTbsCVxjFVBVFwucnHVjTre02M0r/NI3/jo9KdBHuO8jgfc/wAasjk4HA71KXVlN20FRcc8etIWJ7YzTzxTR1OetMQuMDOagmfap9ParDEKpHc1mTyZbIw2TgjPShIRFl3ZgGO30pZWKKABg05WKkMBz1qNxvAYjGT0FMAiT5tx65yKmlfaCTgd6SMbVGehqGdsqxABwOcUuoBafvb6NAM4bd+QzW4uChyeBzzWVo0HzSTeg2j61qsPLidmwQq5FRN+9ZFx2MlmefUdhXCBsDjt3roFGFAxwKwtNSSS63OOpzmtyV1hhZ24VFLHHoKUlsgv1GXFxHbQNNK2FUfiT6D3rOt4ri6mF3eALgfu4+yj/GnW8baiyXtxnZndDFnhR6n1NaB+taxjyrzMHLmfkNBzQc96WgjNMQozmnWw/dEkdWb/ANCNRuWC4QfO3yr9fX8OtWI0EcaoucKMc1EmaRH0nUZFKBScZx39KzKE5qlqiCWykiyAzIxXI4zjA/Uir5AOOKp3rRIqvI2MZAHGCODg+3AovbVgtdCjFasqW4ndphCpSGMn72CQC3Y8BT/kVpRRFcs5y7ck+nsPamW5Vx5mSWOQSQRjB6DNPlmRFYGRUODySOODz+h/Kp1buyttESH86pufsZLjmE9VHVT7e1U59aitIV35mcziEbSBkkZB9OhGfxqOO/torY3Mt2rBnO5ucZ9APYD9KTLUWaYfzAGHQ+nepRFnGayIb+2jm/dTKysGYp02gHBYe2a14ZUniWSJ1dGGQQcg0R10Y5abEEiRy3ZQoDJEisuTxkk449QV4PbNWUhjieR0jRWkO5yFALEDGSe/AA/CnCNQ5k2jcQATjnAzx+prB1XXhH5iW2GRcoT/AHm9B7DufwraEXJ2RhOSSuyLX7xp2FnGx2sw4Tq319s9q09L0yOxgAwDKw+c/wBBWfomnlmF9c/NK3KA/wAI9a6FV4reVoLlRhC8nzMFQZJp469KAMU4DisLm+wHpR/OlNGOelAhKQ06kJ6CgYlFKBiikFxMZFGGwMYGDz9KMc0tCACQaKTb2p2OMUbiEpMijFIOvHakMCeaXPFFHWgAyKM1GQc8UoJpJlWH5FFNpSaq4rBnBpcgjB700mlBouFh3Sk3UhJzRQKwpNHvTDzTs8UIdg7dabnB6UpODSE5oGBPtSHNAHHXmlFIYhbtSnFNJpAcHFILDicCgHPNJmkBNAWHDnFKTTc4FGaAsKx9KZuxjNKeaYRSbGkBanE0wcHHegnk0irATRSkjGaKoD5f8FPs8ZaQf+nlR+ZxX07CDj8a+XfCR2+LdJP/AE9x/wDoQr6ihyc4rpxfxI56GzJAPnJqQVH1Y1IK5DZhzzS9qQcCloEAozzSEc04CmIM0hpSDQORQAD3pwFN70ueKYmJSj2pOc0tACiikJNLQAfWjtR1opiDFLigUmcUALS0mc0ZxQAtHaijP6UAIfQUUUUAIOTTj0pBxS54pgGKCKM0poENIpAKcelJQMAKKKAeaAFFLRSYBPemIX6UZo70HigBCeajYinE1G/IpFJELtyf0qncPtIHX1+tWXOOewrPf9/M2C2VYdOnUf4UyiVAYbdVY5Krgn1qo5z1Perc+duB1rPB3MQ2cdeKaJFzhqei7juIJxUZAVdx6CpYywTcRg9QD/CPf3pt2C1yYuyg9AeuPT61VD/ap/KhJKg5dx0A9BUxgNwpVmbaeoHGamiiVV8uFQqjgkD/ADzU6spNIkVQAFXgKMCpFAH0oVQvyjtSrgkjHSmSG3PNIRgZ708sAMZGaQkEDBz3pgVbmXyI9xBYk4+lUYwu5nHc9Ku3LuighQc8GqoBUEYAzTQhEADFieKQnecAfKM4pA3LDPPbmnhc54wKGAY4Hv2qK8zFAFwOTye5qdcbhk8UksZuHjiyOWyaSAt6VDss1PdiWOakv32W5U/xcVZRVRAoAAUYGKpXqNK0aDHzZxWSd5XLeiJ9MiKQ+YRy3A+lJq0pFssC8vO2wD271cjURxqnQKuKy0LXupfasfuIgVi/2j3Ye3+FaQV5XexnN2VkX4wI0VBgBQAKefpTQOOBT9taGQwDnpTido56nsOtIG3sUTBK/e9FqdI1Tnq3Qk9alySLUb6jIYyCXdQGPAGc4H+NSlgBnIH1oHNI6JIhV1BHoaybbLSsOBozmgCg8d6QyKaURr6k8Aepqi9t5khmuJQAq5x0CnnnPtUF811BIr+bHGpfmQjJ29lUYxuPSicyx2jGZo4fMI3uzbiOQAOnPX/OciFq9TRKy0H20VrcW7Qo88kWACWZhu6ZGePTn6mq8qWNohnWKAQBSDnLFhyc/mffOaktwwsShnZ42QqPl24GMbsjnJ6/jVSW3s7eGR5AqzMgjjNwwO4gZUBc464446U79CkurKlhcW00zPdIkIDkRRFcDkkbsdBnn9fqbdvcyi7lYxM0bOFURwFhw2C2cj159Mfm/wANXZv7GaSaxjtZIZTESg+VtoBLKf7uSce1Syamkl3BLb7GtkRmmnOQFUkdB3yR16cGny2eoc19iWeV/MeJbXauPkYgEsx5O1fx5JpbH9wrxxRuFhIV1bBJOM7gQT1zyKgtdUEssk22ScEAIIYtwUHJ64z0A696zvEGv3VtE9nY20kFzKR+8cLwp6kAH731qowcnZESlZak+t6+jZs7STJYfvHU84/uj39T2+tRaVpLyss12m1FHyREdvp6Uzw7pDRILm5jPnN8yngjnnP1rqIo8+p966rqnGy3ONpzld7D4k4GB7VOBj60Iu0e9OPNYN3NkrDe9OFIOtL3qUUw70UZpCaYgzzS8Z5600dacKQBQaKSgYUEc0UueRQAYpetIego70CAjFLikJ4pc8UANxikpxpKBjSPmo6Uveg0hidaOlLSGmAwjJB/DrS0GikUFFFIeBQAClpozgdzTyABz1oQmNJ6UfhQRmlxQMOaTpS0dqAG+9J/OnUnXNIYnQ0gyc5pcYGKCQi5NAAOlIc0qkEUhYZxkUgE5ziml8Y4pQcHGaQkZ96CgBycj601hyemKdzjk570E8/WkBXkZiQq/WipmRcZ6H3oqgPlrwwdvifSj/09x/8AoQr6kiJVCeM5r5Y8PHb4i0w+l1H/AOhCvqeJg4Kd8V1Ytao5qGzJFOTk9alH1qFRyOalU5+tcZux3YmgD86DgClHQUyRGIUf4CgcUuKAKAFwKPpSHtS9BQIWkPp2pOcUuO9AC0wHIBByKfSY5pgJ0pw6UYoxQAAUY5zQOlLimIKTsPWlxg9eKSkCCiig0AKDmjNJQKAFyO9HBUYORSU4elMQgNKaTFFMYlOPqabjJp+KAYhpMUpoAoABSH1pe1NNIBacOlMFOpiAUUneg8UDEPSo2PB9aeTxULnC/WgpEErEKcelZlrKTLIBxh8HjrxWlMp8pj3waxrWRYXZnc4ZhjvjPFHVFJblyZ8E1TY5lJxjHfNWZ3RAWZgoHJJNY8sn2v7jt5RPIxjd/wDWqm7EpXL6zBgCGDA9PepY1aVsA5Heq9vBsG4ngDHoBWjbbHXCA7e79Km9xtW2JCML5cf0Y+n/ANepERURUUAAdhT1UKMgAego9+hqiRQvHamEAZAP5U5nwKaoy5z9QKAECDHzDimO4BwDk+gonYk7VbBPX2qEDZ0GfemIjcEncWyfr0qncSgNwxGDjmp5WBY84NZuBJKUzuBOTVJCLCNvlx261ZH3QewqKOIIpYdTxUyrlBzwOKTYyIlgeyg96tWCsZHkx91Tg+hqi8rq7AAYAratITHaKp4LYLGpk7IcVdkisSoyeTUI+fUkHZVz9KeW2sD2zSWib7ud/QBRWUS2LeuT5durENM2DjrtHLf4fjUqIEUAKAo4A9KqE+ZrTA4IhjC/Qnn+WKulgo5rdK0Uc71bFwACSQAOtOWN2OWYqnp0J+vpTUiZyDINqg5AzyfrVjJPaocuxaiIiqgwqgD2p2BSijtUFCcAUUH2pKAFzjigmkNISBQFiOaKOVQrorAHIyM4PrWBqFnPNeRCW4XyUbMZKZwffnr/AID3rdeQtwpwO5qB41dSrKCD1BqJa6rc1grbmc6rMohF6waNsNIpXJbGMYxjPOfyqrPapBdxq91JLK33jI6/dxgjoCOOeMcgetXotJsrdj50CvvJ/euMnJPc+vv+Fagij67FyfbrRHXcbZhiIHWES0SV44lbe7OxAdlBU5J5G0t07kU21vRayxLc/LIqFJHY5PUkfKCTk4BOTx+NWrm4ezj+QKt1NIw3FcjaGwGIHJwuMCntqkcYaUW1w0eM5EBXkDJyWx1yAPetPJEeYratFDpzTswkkVQp2KwDMewzXOaZZS6rqUl7dHKh8k5zuPoP89KvXmpPq92LK2icLwGY4wq/xHr17fga27eBIIkijGFUYFdMFyRv1Zy1Hzysiwi5wB0q0ibRTIkqY1jJmiQUUCkAxSKCjHNL3pDQAEZyKSngUh6UCG0velA49qMDFIdwzSdKY8auQSDkdCDg0giUZwzj/gRP86AJOtAzkVGYmPSZ1HsFP8xQEmAwJVI/2k5/QihCJT2oA/Oo/wB6B/AfwIpC8wPMQI/2X5/UCmBI5Crk8DuaZ5i7Q3OSMgEc0glJHzRuvscH+RNRSTRK2WDg9yUbH54xUsaJt2ecUu4dKgWeJz8kiH6MDT93uKV2VYk6+4pcUxTgcdqdupoVhTSZ9aOvNB6UwDtSdKWjFIBBzSN92gYHXrQenNAwHSmjrwAB16U6igYZ7CjGKB1pTTENHTpig5xSikpDA9cd6MdaAaWgBO1NI4OKdSYOetIBvzCmnBOKl6imFOcigaZGVzz360hJLeo/lTzkCsTxVqd/o+gzX+nWi3M0LKWjJIG3PzHj0HNCTbsir21Nl1ZiMNgUpDAkjBHYVQ0y/a9063uSiqZo1kKhwyrkA4DDg9etXQ+eM80PQCs5kMp3Kx98cUVZbBGcHFFAHynorbNb09vS5jP/AI8K+qIF2tkelfKWmts1K1b+7Mp/8eFfVkSZyRk8Z5rrxm6OahsyYZzkfjUkYVRnpUYIA98VMo47Vxo6HsOPI9qcBTSPlpw6+1BAdAaByM0Y4oxgdaBCEdfWlFJThQA2lFLiimADpS9qTFLxTEIfage9BoxSAWlFJQDimA7FNIPbrQDmndqBbDQOPekFB4o57UhhigCl70ZoAMZpTxSA5NBPvTATvSmikNACg0vFIBxR0pgOxQKQHigHNAhetJ7UtB+lACCgUlLTGIeDSHmnGmn2oAa1RtjPNPIJ5z0pjHrikiiGXhTz+VYLwoztGfmRuQT6da3nzjHGTWe9owhCqAxXgA8fLnp+VDV0VF2Mr7FA1wEeR5nUfKCSQo+g4/Ora2ioc9B34q2lqsbZUkAdsUgQtJlmJ7gdloSsDdxscHmMMjEYxhT39z/hV8cAAdKjX5RinqfWmiW7ik4FQuzbs9qe5OW56VAr5G0nnvTEPDMzcDgetOkkCZI5J5qJpPlwuetQFm3ck59KLASCQEk+tNeQLnBqF2YEgZzUUsbtkZyKpCIp5hkhR8x/Slgi2LvbvUkVtj5iPwp+3PGOaG+gJCBcDbg9Oc1Ivy259QM/WgDCn2oAyOTSAjtIGuLkZAK9W+lbxVQhz0FULNSMgDAPU1oE/KaibuXFFRQW2gDJp9qDbwSyzZUZZjnqAKEJDgYxg4plyTcXP2YkCFUDyep54H04qaerCeiILJNkclzISGmbec9QOwrQgDHLuoU9FHcCkjRSwYD5VHy8cfWpwvFXOV3oRGNlqKKMjIBxmgc0oHc9azKFFBNGeKaWx1OKAFJpCwAznFRPOBwBknp6Uwklgf50NjUX1JGkAJAzk+tRszN3pCeacFJ7c1Ddy0khD+tKic5PWnqhAz1PvSn6U0hc3RA6q6lWAKkYINV13W5CuSYiflY87fY/41ZUc04qCCMZB607depN7FeaLzonCbRIVIViM4JFcl4g1iWS5XTrWQM/Ryg4LdCB7Cr3iHVm0mMWkDlpJhgd2Qf/AF+cVW8NaQEX7bOpLsflB/n/AIV00YJrmktjCrN/DE0tE0wafagOMytyxPUe1bUSe1NjQnnFWkQBcUTld3CEUkAGBRmg0hNZmg72opBxS0ABpvXP0pxpAM/jSEOFKe9AFITjNMQUdqDSZoGNXdtAYgnvgYFBNHfNBNIYq0uaYDTiaEFhaDxSUEjFAhBzTSCTkU7pSE0ihrLx2qIqp4IB+oqViSenFMQcnPNJlLYBEm3G0L9Dj+VHlKOjOPqxP86filpiGFGwcSuPpg/zFIUmAwJlPu6ZP6EU7dg45zS5ouFhgE4HLRt9FI/qaMz4+4h/4Gf8KkB4pc8U0IhMrg4NvJ9QVI/nSed3KSD/AIDmpT7mkyCODQNEX2mMdd6j1ZGA/MilFzAxwJoyfZhUueaRlByCOKAIJ7uK2haWR/kUgMQM4yQM8duawItelsHnOpkFWljjhaNgQwYhS2TgABm6Z4AFdC8EMilXiRlPUFQQarHSLAoE+xxKoIbCLtGQcjp6ECmmluBgQapLda9KLWVmijlKyl+Ao+VgQc8jaTxgZz36jpWvIEYK0qqWOFDfLk/jVBvD+ns7MEmQs25gs7gM20Lkjdg8KB+FUZ/BelT+VhriIwuWRkk5XOePmB+Xnp0/KndMDpc0nWq9pa/ZIFhEskiqMKXIJA9OBVgfWoYxwpOvFAPFGelAAQaQjP1pxpjZAyOtIENIJz0qlqdp9t0y6tCqETQtHhgcHcpHOOcc1dzkDPWggdKFpqUYPh+1ks7BbZ7FLbyQI/kOVbAxlQSSF9MnPrWxGyOHKupKna2D9046H35FKA2CBjFIqKgYBFBY7mwMbj6n34FNu7uFrKwx2wvcjNFK6sY8Lzz3oouB8n2h23UJ9HU/rX1hByqnsy818mQNtmQ+jA/rX1jZkNBGf9gH9K6sb0OfD9SY4zgDjvipo+c1CD1BPNSocYrhR0S2JR9c04U0cHmnDrVGbDpTTwcU400jPWgEApR06UgFO6UwFo/Ck+lFMQtIKWigBCaPwpp4NANIZIOnvSHGaB0pTTEIDg0oPY9KSnAUCYhPWm8inFeaMUAhgGTS80pwKQmkMADkelHSj0paAEpCRmg5NKaYCg+tLTR0paAFPpSUo60d6YhRQeKBSMcYoABR2z0NGeKYTigB1NJwaM/lTaZSQjkkDH6VC77BzUjnbz3qFjk80DGFs5xxUZJHyjOcdaUtuwFPHrR90YNMQwk9OaQL8wz6U/AzntTNw3/hUsaJgBjpUE7uu0JHuyeTnoKnGduTgCqd3J8mxHwwPOPSmtQ2CeRkQsoJ5xjFQIC7qzjBA+lSKzlQzt8oHeonzI+Q2B2FUiSwwwuFPHvUQzycZ5x0p6K7rs64qUhIFYggsAMjPNFwIcKF3E8jtTYwWbJGQelPRDIxYjAPOKm2Kgz3obBET57CkOAMkVLsz16Uh2YwfvVNyiAgBfc0RfMQMHnn6U4LuJI5H1p7SxWiiRyGk5CoOrf/AFqHKyCMbk89xb6dame4cqijJIUk4+g5PrVqKRJYlkjdXjZQyspyCD3B71zVxdGabfITu7DsB6Ck8Mfanvbl7bjSSDjfnDS55Mf+z69s9O9ZKSk2aypuKTZ0LnEhPc80yC3Z55J94IkdSQecBR0/OopXKXRjZxlxuVe+KswDYScnnrzQm4sTSki2Ae9OHHSozIQM9TTDM2cbCfxFNtEWbLBIzTSwquZHK8AA+9RkSN/GAfYUnIagWWcAcEZ9KgOSck5NIBtXBYk+p704IxwcAA+vapu2WkkAHc9aGYKQoGWPQH+dJLKIQFX5pG+6P6/SmxIUyxbLtyxPeh6aBuSKDkZ5NTAY47fSmouOvWpKqKsRJ3Gk4pM8jJAzwKU81DKnngxKccjcwH3fp7+/anuIm3BBz+QGarX16LKzkuZflVRwByWPYe1WEQRqAMkjqT1P1rkfFN4bm6isIyxbdyAf881pTg5SSM5y5Vco6Zaya3qj3Uw3Ddud/wCQH5Y+ldvFGqqqqoCgYAHQCqWl2KWNlHCqgNgFiO5rVjTjJ6VvUl9lbIxgr6seibRin9KQClNc9zYb1NAAoOewpRQMKXI6UmKSgQmeacKaqgEnnnmlPShDHjpSHkUHpTd2aLkpCg0p6U0HIpCeaB2F7Uw8Zpc8Uw5NJlIcKX3pgU8ZP4U/oPahMbHZpcUwUtO5IEYprcnuKf3pp65/KkwQg4Hv70AY69T6UhGT1pw4oQxOg9aM56UHOfaigY3NHfrS0UDCilFIaBAabSt0puKBodSnGabThihAxMA0tIeuKWgBuM0HjFOoAyBQFxBR3oJwcU3qeDxSYDhkH60hNJvGT2x1pN6kgAg59DSCw8UEjFJwKaetMLAcGmPkHAI5p/f3oIB6jpSKI1JOegpCucU4hj04FIGx16mgZE25eBkUUruytjAz69aKYj5IXgg19Zacd1lC3fy1/lXyaOlfV2jvu0u346xKf/HRXZjOhz4fqXQoJ5qYdOMcVCBluelSqAOlcKN2SYNL0puTinZpkgTQfejvQRzQIB0paToKU9KYB60UfSgigQo5pRTRS5pgxcdqYRg5p4oNAhoNLSHrRjmgY7HtRmkooAXOKXOabSA9qBWFIzzyKZnmn5oIBpDEBpCcAknGKUjFHAoABzig8U4AUEUwuIB70HBFA5oIxmgQUUuKMUxgDnNIefendKbQIaeQRzz6UE5pSeKb0HNBSENNJwDSE9s8moz19qRQE5qF23DkYHp605zhuKYSOeaskTtigDnn9aZnJ9RTZZxEBxknoKQEhBPSq9wjoyuCQMYq2ki+SH7YyapSO88mDwmfl4oGLJK8qbQMLj5qiR0DBACSR17VJK/lxbUxk9c1BFFuPvVITJZ2HCAZx3pUhYgcdOakMSomTye3pSk4UAHJPcUgKrOzMcfKehxUkabjuZiT7mlEJz71JhVUDHNFwJQQi4FHbcRihFzyeaSR0RSXOF6UgGtKgDZ4AqsrGVyEXAPFADzsVHK54q5DGqDaOtO1g3HRRBQq46UXWmx3SBvuyqPlYDp7H2qzGgyM9fpU/QZ6Vm9Sr22OSj0S91G6aK9R4LKNsMoYZn9hjkL+RPTgdd6edLOFbe2jQyhcLGowEUdzjoB6Ux7mW8kMdm/lxKcPPjO72X/Gnw20SsY4xlVYF2JyWbrye/Y1agoK7IlOU3YZZWRRmmmJaWT7xYcn6+n07VcEGOV49R1FSKKd2NRJ8zuUvd0REQRSEnPAqQDFIeKmxdyPkjpzTgPWn9qQ0WC4gC8GkeTy1z1JOAKGYKOmT2qsFd5TJJwBwoBz+JoegJXHhPmLnliMZNSop6n8BSIu47j07CpegpJDbHdqaaDzUBLSsVUkKDhmHf2H+P8AXoyEP3GRiqcAcM39BUqqEUKBgDgCmqAgCgAAcADtUF/qEGnWpnnbjoo7sfQVSV9EJlPXNU/s+2KIc3EgOwD+Ef3v8PesjQNOeaY39ypLEnZnufWqttBPrepG5cnaxy57KOyj8P6118UQVQiqFVRgAdhXWkqcbdWcz/eSt0RLEmTVjA7U1RgYp2a527mqVhetFIKAORSGAzn2xS96DQORQAY70g4A5zSigigApPWnd6QnAzTADTSKdSGkCGEkcUAd6djPWgc0WGNJwRnqelAp9NIosFwHagrmgCgnBoAKDSgZFIRQAc0046mlJxTSCevSkNBzmjPNA4opDCjPNJQOlMYCVC5TILAZx3p1RCJFkLhfmPBNPJNHqK3YWg0UUDG0CkOcEA/SlHAoGJnmn5pp6U7FAmGaBzRiimIDjFITSimsOBSGgPNAGOlIKTOKQ7AcDGelNx3Ax+FOOD6U4CkGw0ZA560deaCSDSZ55oGNBySMc09enJyaQnntTQSpoHuKzckYP1qFsli2CMdKlznnvTDnH0pBYryFuo696KccBsn86KBnyYtfVmg4Oi2Lf3reM/8Ajor5TWvqfw22fDumE97SI/8AjorvxmyOTD9TVHDVMMVDkHkVKvIGa4EdDHdDS0h5WlHBpkiijOKB6Ud/WgQdRS0cg0vamIQUvakNGaYAKKM80Z9aQCqKCRQDTGODQFrjsgDPpS96iBGetOycjHI9aLjsPpM+lHUZoApiHZFNPWlFLjNAhuOaTkU/FIeKQwBp3FNxmnZwuTTExo604jvmkwMcDFBPNMBKUikoOaAFzzRxTd1LmgdhT7UhpM0E5oAQ881Gx7U7PBphbnFBSGE4JPtUZJBzjNTEVERk47UwGNzmoiKkbAbgjI7U0KFUscBeT0oENC+3SoLkfvFBGV7VZZlCfeALDjPFUUV93zck9jTQEkcpjBLYC9eaYJN4DKcq3IIptyV8sKjq3OCOtMiclFU9AKGNEpTzJAB0Wpli3dBtA/WokcHcAeQO9PikZWHUe1AiWVCF2g5+tMACYY1I7qSCcj1qrKWeQ4J+lAEvnAinImSGOcfzpkMHGW60+V9oIA5oAJJ1TaApOfSqxieeUsScE569KkhgdyXY4HYVcjRc4Ax9Ke2wbkUUYiXAq1FHj5jnmpFhAANRT3cVuwj+Z5SMrGgyT/h+NQ7t6DukrlhQMZqnJJ9vbyo2YW4yHdf4j/dB9PWozHc3h/0lhFF/zyQ/eH+03+FXkQKoVVCgDAA6CtIxUdWYuTlsQkLBEFRQP4VA9e1SwxCKJUzkjqT3Pc01QXm3knaoKr7nuf6fnUw5yOPaspSuzWKshaKTsaFYEcc4qChDxTSORzTyM5pOKATEHNBYAZpjsqKWNRHLNuY89h6UmykrjiSxz+npTkTJz2/nTFUu2Ow6n+lWMYFCVxt20DpSdaU1ASZiVUkIPvEfxew/xpkikmViqkhB94g9fYf4/wCRKFCqEUAADAAGMUqqFUKAABwAO1NkkSBC8jBV9T/Kq3FcHdIo2eRgFUZJJ6CuMuTca/rKqVKwryqkjKr6kep6/lV/UtWbUJBa2ab23duQCP5/y+taumWH2SH5sNM3zO/cn0rohDkXM9znlPmfKie2to4IVjiTaq9vU1cjTApETI5qYColJsuMUkGKWgUHpUjGgU4CkA704e9AMXGRSYpx6U2gQUYo4owenSgA70mMig9aB0zSQC0mKXtSDFMBv8qUUucfSkxzmgYE0d6OgpM80AFBHOaWkNAB0FGRmlooAaRim9qUn1pKkpC5ptL9MUhoGg70Unfr+FLQMTpRwaPWlHSgBBzQOBQBS0AJjNKOvWiigAPFA6UEADrTlAxTEMBpaKQikMAc0EZGKB1NB6EDg0ANAweetI30z9KccfjSHikNDOTyBT16UgyaeBxSQNjGGTmmn8hTnFRZ3NTGhSp3ZzxS45yc0DrQSecDgUhiEdcVGSc1Ln14qNjx2pDIJJGDLtRzkHlSPl6cUUOfSigZ8nL2r6k8K8+GNLP/AE5xf+givlsV9UeG0EPh/TosjK20Yx9FFd+M2Rx0N2aZ6CplHAqIjJqUdBXCjoY+ijtSZwKCReCaXoKBSigQAUDrQKWmhAaTFL3pO3vTAKTHfFOxzRkDrRYBBSFA1KGBpcUBsQ7cNShcHPSnkZNLtzSsVcAeKWjHFJTJFzz1oOKSikADr1o60Yo74oAcKUUzOKAaYWHE/NTSepxinggimt6UxIaOaU8ijBoIpDCk5FKOKCaAEpp6U403rTKGHgc03OM4xmntjHJqM460IBN3BqPJOeMfjT9w5wKQYB75poRmzYEu9CwIODmphMzx8EBxxUUySsxB+YZ64qSKAqAR164qmIAkj8NyQOtBQoCXbGeB9atKMAA9aqSSM7shUbQetLcZUELAnI74yKmQKBtx14z3qRih4GTj36VAHVpACcYoYIcibGKZ6d6nCKFJJ4HrVbzg0mQQVxinFy2AAc+mOlAErtknGefWnRxEYY9aWJDwTUucnBouAxnAIAzQE3HLDAqVEyOlOIwQPWlcYIu7jGM1YihCKTx600GOGEyzOqqOSScCs95X1WUqN8divttMp/8AiaqMW/QmUkiWe9luWMViwCjhpz0/4D6mn21slupCgszHLO5yWPqTUiIqKEVQqjgAdBTgcGrdkrIySbd2KM5oy0jsg4VflY9ycdB+fWmO7IvyLudjgZ6D3NTRqEQKPqT6nuazlK2hpGPUfjAA6UUZzQTxWJoITjApQMUmc0ooAUntTWYKCSeKQkAE1Vk3yuyMuI+mM8t/9ahsaVxCzTyBiR5a9B/eP/1qkU732jkA/Me30pViwoUcAccdh7VIm1WKBSAADnHH5/hUpXKbS2HgYFITWZNq9vBrMNjJJgXClYWAyDIuSykjo23BAPXmrn/HxkciLoT/AHvp7fzq7MkXJnOAcRg4Y/3vYe3vUwAUAAYA4AHagKANoGBUF7ew6dbGWU5J4VR1Y+gppX0Qm7Be3sGnWxnnfA6KO7H0Fcm1zf8AiK72KPLiX06KPU+ppm288R3xdwViU4B6hV9B711VnZxWUAghXAHUnqx9TXVGCpq73OaUnN2Wwyx06CyjVY1y+AGc9W/+t7VoonemomBUwFZSm29TSMUloCj6Yp4pO1KKkYfSj+VGeaBQAAjp7ZpaB60vegQhOATTA43EZ5pxB3ZycY6djTdgDFvakwVh9FGaaTzQMXr+NGeOtJntSgUwEJwOeO1KKQjJoAx3oAdwabjvS032xigEHU5o7U7HFA6dKQDcUAd6U9KTrTAM8ZpaQdaWgYhANMwAc+tOpCKQ0JRR3oOaQxvBpaQiloGB603vTqQ9qAQtKRSAgAk8AUueKYgxSU4GjFFgG4FKD2peOlITzQAnek4paQjmkMSkIJIO7GDyPWnjpSfjQA0g/Wmk5pwyFwzZPrTT1pDQoOGp+QBzUQHSnc4oBoRqQADmlJ496PSkMAAM0nJNKelLigCJ1DYzzg5FRsMc9amOKY3egogbJ5FFNkcL9KKdxHyeK+pvDj7/AA/pr92toz/46K+WRX094Sbd4V0kk5/0WP8A9BFduM+FHLh+pvE1Ih4FQnPWpQwC5zxXAdLRITxRTaM8cdfegmw8H86AQKbTeppisS5HTNLmowaXrTCw7dzSZoK0mDj0phoLuwB1psh4GPrSqvNOKA0haJkKZJFWB0poQLTs8ULQG7hSZopOhzTEO7UlHWk6CkAtHWko60DFo70tJigQh6c0Cg0DpQMkU9qY3U0oHNMbOafQSWo7NOzTKDQFhSab15ozSGgoM0E4BoHvTHfjAoAjdiWx27015AvJIHakZvrTfc00IR3KqTwCemaakgZeevrTC6sSpU5HanInPTAqgADe5JJxUgwc4II9qqzg+cqoxGBzTIjJFIQFyDTsIut8iFvaqThtuAvuTmrW1mPztn2qB5Su5ABk8ZpDIVU5IGfSonUBiCOgp7s6kgMRn070xAXk2gknHehgh0cPHTBPeriRgKMjnHJpYo9igHk08nt37UXuA7pxShABk0Ku0e9BbnAGaQDg4IAXp2p6IG+ZjgDkntUSIXPB4qLUX3m0sQSoncl8HqqjJH45FOKu7Ck7K5XQNqV6bmQBrWMkQpzg/wC1jv8A/qrQ/CgKqKEQBVUYAFH1rW/bYx16gDQzKoLE4AGTTGZVIyQMnA9zSpEzykyrhFwVHqfU1EpJFRTY6GJsl3GGPAH90en1qfFKDTjWLd9TbYjwaU07ApjqxXCtg0h3CgsFUsTgAck013WNNzH2+tQE+aQW+71A/wAaVxpXHCUycqML2JHJ96eqdzSKBux1pxGcHJGDng0lqVtsQrORPclziKFV7d8Ek/kR+VQXN9IZzbWYjadQrt5hIXbuIPI7jHp6VTeWSdpIY1YGWWQbxyAFYL8xHQfe477cVatrdI7dgMtGSWZieZWPJPsvt/TrdrElTTtItyscjoJPKlkaORiSTk7SRz3AxnrgkdOu4MdBwKitxm3Q46jdgj15pl9fQadbGeZsAcKB1Y+goV27C2H3l5HY2rTyEfKOATjJrkYUuvEN80rvtjHBbsq/3VquJrrxLfZdmEYOVRSdqj39v5119paJaQJDEuAo5OOp9TXUoKnG73OZy53ZD7a3jt4VhhUKijA9/erSJikiQdT0qYDgVlKdzSMUhRTu1JilHSpKFHSko6UdTSEJkU4Him7eaXkCgBdwPegHmk5pRQAuaBnnNJSk0xCE02nE00nmkNAOtOFN7Uu4AUIGONJSZ/KgdKLgKRgUnWgj3oAzQAUueKAKSmAhPFAwRSmkHAoACeaWkoPFAARSYozQakYECkNFNPXNA0KTilHSmikZgi5xxQMfSYFIhyoNKTz0oEITj0xTh3NNB5pSKEMXFGKaDilDU7gKRzSdaTdSZ5ouFhcYpquHJGD8pxyKdn86MUAB6Uwk7sYOPWn+1IRSGhozznp2xS7RSmikAm0UmOlL3pDmkNCEdx1pMGlzgU3POKBjj92gcc0maTOc9aAEZcnOeMVG/oO1SFvT9aiY/NnNDKREUJ6/pRUhcJxxRSA+SR2r6b8Fnf4Q0g/9OyD9K+ZB0r6W8DPu8E6Qe/2dR+Nd+M+FHJh92dISBgelSr0681C3J7ZFPXpg1551MfjOD7dKd2poOB0p3GOaZLFpnIz604c0nOTTAcoPepAOOaYMn608CmiWHFFFFMkUU6m06gTEIptO+tJQNCDrQeTRRjmgBO3FKOaXHSjFIBCKOlBoIyMdqADrRQOlLQA0ZPXg0vQUuOKToKYCjmkfrQOTSN1NALcTNJ0pOooJ/SgoXOaXtSA8c0E5oAY5O3HSoWYAElsAdzUrfNVS9RWhKlgpBzk00APMitguOegp4+ZcjpVCJAPm4OOCQc1bMwSPOCfWnYQGNA2cHjpUMk53gpnaDz70ktyXXCjrUcSF39hT9QLIO9txABFSomPmAyaiICLkdKBIwagBz8sWHUdqru+XOepqX5juI+tVS6s4UfpTQEhTcQB1NPjiCsPWnJGAxbkknPJqQqFYZHWpkxoeAcUoUdad0XngVWeUljjn0pIGTM4ztyc0BQBkd6YmTwRye9PUkk/3QeB60wJogAOPzNVkjS6v/tYOY4kMaHsxJyx/kKS7mby1iHBmcISOwPU/kDVwBUQKAAAMAelXFWVzOTu7DD70AFm2jGcE4JpQC3I4Hqe/0p6qqA4/iOST1NJysCg3uEcSRnJO5z1J/kPQU/FJTVkVuhHFYt33NFG2w6l5pAc0ZxSKHU1mAHoBRmqk0nmt5aHIU/Mf6UN2QKN2K581s/w9venBWDAgZHQVBJM0LRoiBy3LAtjCjAJ6deRxVt8iF+cHace1JLuU3bQxb+7uNPE99CqyxxoJXQsRuQAk7R/eAGcnrnH0uXF48paG0ILjG6QjhAQGBP4Gq80TXcN9A8ZQyFoMlcBYsYyG/wB3nHqcfS6kaSsX2KsRwcYwXwOCfb0FW7EkdpaxKjeWgWN23MwGDKx5LH2NXHiEsZQkgMMcU8CmXFxFawtLM6qqjJJNC1Buw24uYbK2aeZwqKP8gVxayXXiXUmZcrEMrkjhF9velvLm48S6kIbct9nU/L2GP7xrq7Cwh062EEQHqxx9411Qiqau9zmnJzdlsLZWUNjbCCFcKvU92PqauRpnntQqbuamVQOOlZym27suEFFAF9KcMUAUoH4VmU2FFFJ1pgFKBzQBzThn0oEGKQ9aXNJSABQaWkoEB5ozTSTRQOwHnrSH6UtBFAxM8UE8c0oFGMigA7U4UgHFKKBAfrQKDR0pgB4oFHHWj6UANpDk4wOPenUopAM2naMdaCPWn9qQ9aAuNxR0paKQxOaaRT8DrTe9A0MpCAeOtLRSKDpRS9qSgBBkHrkVITTKWmgEzSZ5xQRz7UUgHY4pvSlOTTSMmmCFLgUgcEZpjcHGD9e1KowBjGKB2RJ24pTSDkCgmgQ187Tg8+tNj3BcNywqQ9KTpUh0AimEYNPJwKjzhcZ/OhjQU0nDdM+9ONNxznvSLDOR6UnTgY4oPGCOtMOTnHFMBSTnimNyOeopwx0NG0FiTQIrlQDkniipGKngckdeCaKdgufJgr6S+Hz7vA+knOSIsfkTXzYK+i/hu+/wPpxJ6Kw/JiK78Z8KOTD7s689eaev1qEuBSoQSTXnHUWBjHX8qfxio14qQdKaExQMCjvRQOKCRwFO700cUuaZLCikzjPU0vagBe1ICRQDxSHimA7NJmm0c/hSHYWlBpvSnCmA8UHrTRRmgmwHikJo70UhhnigHrSc0lAxwPFBNRlsGlBzRcLDicDimnmneopmeKY0HIpaZn5uaUnmgYpximk0wtzwelI7hVz19KYDndIkZ3IVR1JrLvbmK4Vdhyd3HHSpLwu8JVcHJAIPpVYoEGQA2KpLqSyeJQEHApZUY4wePSq8bksccVMZCQCRwKYhiAA/MeKm3hVJXHSoSRI3I2gU5gUXjBBoAQyMFIPQmka5VB0yfX0qCaQn5cYAqAli3HSnYLllrh3XYCVBqWCBc5Oahhhd2PHA75rQRNo25pN2AkCgY6UyV1TaSe9EhKqfmAqjczZ2opz2JNQy4k80+8EKTUUW8nJPfuKjCkDNTxctxxQhMsoeo7+9PI4xTVGT64qCW8AcxW6efOP4M4C+7H+lUk29CW0ldiyvGrxRZwUIkbAztUA4z9elXUDON8gxnkJ6fX3qrY2jJEXnYM7OWPHBOfvf1HpxV0c0pytohxV9WOzS0nSm8biQBnoT61ncseelVjHsZmAxmrPamkAmk9Rp2I0yO/WpCelN6DpUMspVgqDcx4x2H1pXsO1x0shA2g/M3SmRIEQKOff1PrQkJU5Y7nPBOP0HtSTZjktwGwGf5znHAVj/ADxRa47pIFB+2yA5K7Ex6Dls/wAhRPcEXAt9uFZGJkI4GP0qvLdI99LaxsfN8tSxKttVQTnLdOenBz19KVIwpigjQBEXKIcjpj5m/HoPxqkiCwgaXBf/AFYOQCOWPXJH8hVkDn3qK3dpI9zJtcEhhnPIOOPaodR1CPTrYuwLykHZGOrY/oO5ppNuwm7DdU1S30mzaeY5P8KZwWNcnHHqPiW6Vrl9sK5OwDAUds+/tRYWV14i1E3t4zGBTxzwPYCu0jhSKMIihVUYAHaupJUl3ZzSk5uy2K1jYw2EXlwryfvOerGrqJubp0oRMmrAUKMVlKTbu9zSMVFWQgXaKUUuO1LUlXCkLUpFIB+VIQZzQDS02gY4HmlJwPWmDijrRcVh2eaXIptBouOwucUhNJmkzxQFhTRmmk0pPFIYtOHNR7valB9aLisPoH86Qmmb+eKdwtclPWg8UgYEZ70vWgVhM9qCep4A9aQ8DOcACkHIB9RQA7PYmjNJjNIRQFhc4pwNMHSnDg0IAB5NJmlPB46Uh60ANxgZpc0hB7UhBpFBR1ooNIYYopOvQ0negBc4GKQe9FJQOw/pSE0mcigZzRcVgPFJnpSnpTdvNA0KDgU3eadtwMUxkzmgasN3MW4FOCnqetCLin9qYAOOKDyKOp6UmAO1IBw4FB/Skz7U0nnFArAenFNI5p9NNBSECjPvRilxzQcdse9IYwimdPpUmPwppGScHp1pDGEjcOOKYW2gncQBT2Qhh6UhTvg8+lMBjN8o6E+popJQSuPeigD5MFfQfwwlz4CsvVWkX/x9q+fB0r3b4XuW8EQAOV2zSA4/3s/1r0cWrwRxUHaR3gyxyP1qVVwMVSJfblXbk9DjmraxENy7HHv1rzXodidywo7Z4qUEAc1AqLnq3/fRqQRr7/maEKRKWGO5pVYYqHyhu6tj0yaR0fH7s/gSadyLIs4oxVYJITggj3LUBAD84zz1PSi4WLOKO1NAA6AU73piAdKaxx6ZpwAxxSEDPQU2A0Z9qeAaYVyfSnikgYbOenWgLil5znNBFPQQuOKQj3FA4ozk0CAgetAWkJApA5JHYUaD1HYFMI596cTSZ560DQ0oT0xShMLzQT70E8c80BqLio2BzilJwCeoqORwCAATmgY/Heq8kj7vlx6VISAp57VTjkLxHKjeuRjPemkDJVkG/aXUt6Z5/KkdicZ4rFRHecvypJJxVxpNq8EE/WqshXHyvu3AOqkdqhRHdcEg1XdGIz+tLENik7selOwiwiBG5dQfTNMdzvC7uKjA3NktznvUxTuecdKYD1jIOTk4PapwoK57emarh3XqT0xzUyEYOcA+/SkwKkqEtzwP5UJAWwBjFSz/ADtuB9sCrESBFAOM+gouFh8MXlR4zyecUrI4YPuG309KeXVAWc4A4x71WkndzgcAUhjLlnLAKwI789KqSiQMuApIOeTirQXHJ6+9MkXewI6ipZSGI0jZUoo7g7qtRLgf4VCBgYqxEhY+nrTWgmJOjvayLG7KxA5TrjPOPfGafCYRAqW8bRp3+XafpzUoCrwKcFG7nApuVlZC5U3dkqcqCOAOg9KcDk0wHgAUoHHOayNB5HGAaAMYozgU3d60NgSVGXw2Ov50pbioNyoSN2WP50mxpEsjcdgaYMAE8YHU0ztuZs+pp65Kg4x6Cp3KtZEkZOASACapTFP7UhmZlwmY+R90lS2QfwxTzer5gVBuClg5/u4A/wARVe++VrV2G3fdIFX1POSffAPHarijNl2OINl2UhS24KepPqf6D+vSSNAJWYckk5P5VJis/VNXtdJgZ3YGU9EHUmqinJ2RMpWV2S3l7DptszysBgliT7nNcyVm8R6jJ5YK264DyEfeUdh6D2/OoLS2vPEt79puiUtVbIHb6D1PvXZRQxQQrFDGqovQAV1KKpK71ZzOTq6LRBBDHbwrFEu1FGABUyruxQiEnGOKmAwKxlK5qopIUAAcUtITQOO9RcY7pQTjikJpM0wsLmikoJ4460rjAmk6CgD86Dmi4C0tAzQaLgGcHpSE80vekI9qLiEHSmsrHoxH0xTxinCgdyHY2MeY/wCQ/wAKTY2OHb8h/hUrKGUjsRjilA4pBchKMOA7fXA/woKNj77Z/D/CpsUcc8UBcrhGxzIx+oH+FMMbDJ818444X/CrJXPI6Gm7Mg5NIaZCqMAMyuT9B/hTxG5H+uf9P8KkC4680vGfSmDZGEfvI5/L/Cl2kDG9vrx/hUlFAhgVwMb2+vH+FLg44Jpc0ZpgIOB1oPAGSaWkIBHNAxfxpOcjk0oP1pOnHai4CFSf4iKQ9PvHB70/ORSdRRcBhBxjcwpuD/fY+3H+FSYGaUYpDI9p/vt+lNKnpvbPrx/hUxx+VMIx9KTBMaB7mk28/eb6U4daD1oGNCYH32+uaQIc53v+JqUClIoC5B5eSf3sn59P0oERz/rZPpuFSY5oHBp3ANg/vt+dJsz/AMtH/T/CnUUXAbswCN7Z+oqLY2ceY+M+o/wqfmg0AiMR/wC2/wD31QYwf43/AO+qU9aWlcdhhiGfvyf99UhhXJO+T/vqpB0oxTuBH5RA/wBY5/4FQI+P9Y/508nFB5FK4EXknOPMk/76pBbKpLB5AScn5jUwozmgZEYcj78mP96kaAFcCSQevzf41MTSDpRcCs0GDgSyAf73SkMYHAkkP/A6lfO7FNA3Aii4yBo0z96Q+xc0UFeeuaKQHycK9u+EzbvCMqnnF0+B/wABWvERXtfwjJbwvcgfw3Tf+grXpYr+GcVH4jvsYIIByCCOfStCIhgHB4I/pWc6nacHnBxWnGFWNdq7VxnGK8xnYhx4Ydqfnim4FKOSPSkNj/fFOpB04paZA7tTTjBGMj3paCOKdiSP5lPHI9D2pRJnjOD6GnFR060FARg4NCHoKGp1RFCPusR7HkUqyMPvKc+1ArdiQCjGBTDMAOcj6ijeCpwR+dMLMkoPSmoWK/N1p2OaBABx9aafl6dTT6YwJNDBDCxPWhmAHpSsuOaiIBYc4qStCQHIo96QnHNG7jNUMRn2nGKjZye44pruNx496r3rOlqzhirYGMduaNwLodXVcEEEdR0qKdwG4BJ6Yqpp0ubcgn7rcU65chAwOGLDFVYQ4zKwBBDY9Kz7kukzEH5X5Iz3FKjhJiRnp+dQXM4d8A57fSrSsSSKxAAHGetPAXbzyarRu+7aOTU+4Y5OM0WAcULDHY1UuT5WM5+npVwEEADrTLmJXXcRwKAK9u5mQHJBBq2XKRnkVTQmMtsFO3s/Bp2Angl34z1Hanlyz7Ryf5VXQEkbM1oRQLGNx+91z60PQCNYmyAeCeuacJGiXqM+tTSyokec9fzqqAZmPXHvSuAg3zvvZuB3NPJGOBgelOKbFAPPHAz0qMnb06+tLcYZ5yfypBknimYbOTgGpEOWHYY5xSY0PA2nA5qdGCrjmmKifeA+tTBOOPzpXHYeMCncH6U0DjGKeqikxoUKAKcTt60hIxxTMjI7mpGKXz14pwxjmgJ3NI7hFOOT2FJgNmkCjGMnsPWoI1I3O5GTyT6U4xsz726nt6U8R5B9ug/xqXqWtEU5ppMhkZFAYBVdSS3IB78fWklvDdkw2c6qikrPKOSnHyhc8Ek0tzakSwzIYwY12OXByysOQMc5zg1YsrFYVUlcBeVUnJHux7t71cbIhu42xhHnXDlFVfNyqgY52rlj71oYBwcA45Ge1VrL54jIOjtuH0IFZut6ukMRtoXYyt8uE6nPYHt9auMXJ2RnKSirsg17xGlkDa2bb7k8MV52/wD1/wCVZOj6DPey/bL8N5bHcAx5b8+3vWnpGhR2xNzcxq1wx3BTyE9K6BVyK6U401aO5zPmm7vYaiBAEVQoHQAYAqwiZHPSkRM4J5qYAAcdKxlK5rGNhAuKU5pM0ufWoLD3o6CjIpDQAdaAKAKXpQAoFGOaAfejvQIMYpQtNLqoJYgADJJPApQwIyCCD0IoDUUUYxSZ96XNABR1qOSRI0Z3ZVRRliTgAU8GgANHsaSgdaQD+1IODTHkSJCzuqqOpJwB+NAZXUMCCpGQR0NMB5NHakz3pQR0oAQnFA6ZpCQBz2pRjB5oATGcGgign07UdqQxcUuOKQnvR1HBpiG47UvajFNByM4pDHYwKZuy2MU45Ix2qNJI2dlR1ZlOGAbJU4zz6dRQBNwAPWg4PTFUpL1XumtYGDTKAXxjCZ6Z9++PTn0zXiDzyyCCYeUDteQdWYE5A9h0znrVWEaZoFQhfJRERQVBwcnGB61IHBPBzjrUlDyKYeDT88U0jNDEhlFFFIsKKDSZ5FADqCaAeKUimIQHjmlzQB7U05wcYJ7ZoAWikHFL3oGBGKOKU4xSYoENI5pDwPalYEqccHHBpFQhFDMWI5z0zSHcAfyoJOadSdKAG4yeaXpxSbucClpDDPHNMIANP5pjZOKBoTJKnBpw4ABpPWgkUDGMMsMVGBl2OT6YqQDqaAoLkjrQBXcEcAZoqYqoU9OvWigZ8jCvZ/g+QfDt8pPS6/8AZVrxgdK9j+D3zaHqCg9LkHH/AAEV6eJ/hs4KXxHo2PlOcEHIrStWDQqRnp3OaobcAirlkSYV4xgYxXls7OhPjJp+0UYOaUfzpA2HbijkU6l60ybhSnpSA0vWmIb7YopcD0p2M00FxBijHNGMUZpiGsMkUKqnjAzSk0ijp/OkPoScGjNRPIVOBjNAkHFMViTNITTScUZ96Q7CnnpURCgjOMjpSs4PCgk+tROjKMn607DQ6XqDmoZ5NluzcZAJpks2yNmxnAziqtzJ5tuFC7lYBs9CDTSC5TNxJLIkmSpHynBPSrkr+fGY5HAK4wVOS3FV4oGVSOhNTRwKoJI5JqtBFWCB1Y5cgE8gVLI2wHJ+UfpVz5FGOPpVKcu+SAAv6mnuIryyefGhjJCnnPqPamiIAE8tkZ5qXdgDAHTvSbyScDP4UAPRAp3AZBGMYyRTTIPmXnA/nTt+0HcQOnWol+bLbe/GaAHpvRd5Q46Cms7ucYODViGJpl5bAHrU6WqpyxGBRcCgqEnAB/KrCWrNyeMVcAhRcjFNMn8Qxg9BRcLCJEsCE4yT1pJLgBgAm5SPXvTnmZ02ADnvTVjGATUlEIidzuORz0qyAIlwBQGCMCTnHamTOC24daNxDXcnOR1qI8c4Jp3PU9KTPTnj3pgIoLMF7k96kUHzChUgj0pE9asJ1B68Hk9TUtlIVFIGMVMqlQOc8d6YgAqTf6c1IxcADkUb+e9JnNAB64oAXk05VJ57UAHpinMwUe/pSYwZgBk/lUY3EljTlUvyakC4PQYpbjvYaiYye5pssiQruchQSAPcnoPrTnkVF3H6AdyfSmRoxbzJQN38IHRf/r+9OxNxltbLGo+UgD7qEk7fqe5/l0q0SFUsTgDnmop7iK2hMs0gRF6knFcrqOt3OqzfYtPRwjcZHVvf2FaQg5vQzlPlV2T3utOcabpyb5gNuQMgVa0rRBaYublvNum5JJyFP+PvUmjaJFpke84e4YfM/p7CthYzmt24wVomKUpu8hiJuPSrCIBQqhakHSsHK5rawUUgzmloAaRRTjzTaQ0GOKMUZpcUAQXLTJaytboHmCkohbbubsM9qwmuvFBYldPtlXIxmfJxxn+H610eDQBQnYDm1u/FALZsLXb/AA/vDn+VOW78T7fmsLRj6hiP610WOfalH5U+byA5q7fXbu0aCbTIirYJAkI5ByOQ2eoFSxXerwRJGNKCoqhVVNuABxgfN0roMUY4o5vIDCGo6xnDaVLj1UIf5vS/2jquOdJuM/7sf/x2tzFLjFF/IDmLy91Se2kgfRbl1dSMbYxnjpnzacus6wFx/Yl2ceqJ/wDHK6QjNAFHN5Bc50a1q+cHRLvnodif/HKP7a1X/oC3eP8AcX/4uujAxS4ouuwrnKXep6jeWrwvol2QR18tQQfUZY4PvU9rqdxa2kcKaTfhY1CqDAvAHAHDY/KukIprcUOXkCMMa3cHrpV+APWAc/8Aj1KNbnDHOlX+P+uH/wBlW0MDilpXXYZyuo6vdzw+XHp18pJyQ9uGDDB+U/NxzjkelO0/WZ7exitzpt9iNQuZEyW9yQeprp9tOA4NNSW1gOfGvykt/wAS+5AH+x/9emN4jkVh/wAS+5weB+7NdERSYxSv5Bc5W/1t7yzltzaXUYdSuQjc8fyqzZ6zFa2UFuttc4jRVAMLcADgfgK6HHrSkU7q2wGKPECZx9nuP+/LUHX4xnME4A6/uG/wrZI44oApXXYDDfxFEAf3U4/7YOP/AGWrGiW6waVC4eV3nVZZHkbJZmAznoB26AevUmtQimqoVQqgBQAAB2FF+iBlNNMtYpLiSNCrzsWchjyxG0n1HFV18PWEahIlkhjBDbInKqSAADj2Cj8ye5rWwM0uBTuwMl7C5hCvbXsrMOomYYb7xJOB1yw7dgOKm0y2ls7KGCWRZZACZZANpZick4+pPerpHWm459am4yUEYpM4o6GkJFMVhM0mc0hoFSVYWkxz1paQimMXtxR1pPagGgB/amHr7UpPSigSDHFFOHSmnk0Ahp5pfxoNN6mgY7NHak4Ao7UgFyDSHr0pufmFOzRcLAaaaCeaTmgpCr1zQ44pVFDGgXUiORx7UvfnrSdTzilPTIpFASAD6+1M3bW5zg8cCnevOajXmQ56ihghJ+gxnHpRSy+p6UUDPkcV6/8ABxiNN1MdhMh/8dNeQDpXrvwaObLVlPQSRH9Gr1MT/DZwUviR6cTk4NXrRSIU/wB2qJ6lQecflV+1P7lOB92vK6nYtiwDT+1NFKKBMXsaD0oINLntQSQy78DZgHPOfSpVzgUH+dKOKBvYWgHtTSecUoFMQv1pDignFRk7gQKYJDi6jvyPSkEqg46fWqlw5t4WfG4AZIHpWTc3aXESuCysrYK+x71SjcbsjZkmWPLuwC+tZk1zNx87bSSVIOMioQ6zWQUvyjcA9+aYBuQc4PpVKNhXNW1ld4QS5Yg4JJzU/mMTwcVmW10turxuCAehxV0PlQykEHvUtajuWS+w5GOlRmTGSW4NUp75R/qQGweSaBdJhdwO5hnA5xRyiuWGKyDBGQeuaphVSYxrwoOQOtVmuniuMZYg84z2oWWQuXAxu6E9RVWsK5ZuZfLZVXIPU1GS7KcngnOKAuX3N8zGpzHuAJI+lGwyBHKsMDd7mpFj3tQFVWyWFAl28LjI7mhgJJAMh+VHTiojsTgfe9aV5XYDJNQbWduRmmIUZc9/xqZVCMEPJPUDtT0QouSvFSxIhYk9OgobGiSMjZx0pkrEqFA4JzmnvsQ4GAKhckrheg6ZpANb5VwOtSRRBxuPQUInHPfnipA+QQBj60NgNKqM0gfAxjimscnr0pHYEYB4pIYpcEnFRlvSkJ2qcZP0pM5qhDhyBmkYd+uKVEJHNS7MDipuMagJ7YJqdOTyOlCAJhj2oBw3WpZSJMjOBTgDimrzz0p460AAWpgoJ5pgAAyTSO+75QPxpMBZJNuAvPr7U1QXbcTgChUB5NKPnyNpABwPf/61SUTDgZpjy7FyQTngAdSfSmSOIwDyS3CgckmnRRkN5jkNIR26KPQf55pkiRxHd5knLnoB0Ueg/wAah1HU7fTIPMmfn+FR1Y1V1PXLaxk8kuPMxlsDO30/GsFLe98SszOBFZ5wS3Jb/I9OK3hSctXojKdVR9Sukt/4p1MBj5dpGe2cD6ep967Cy061sVC28YViMFzyT9TTrSzis4EghQKijAAHX3NXUTGDVyklotDOMW9WKkeOTyaeF59KcKTIPPasXqWhpFOWg80L3pDD6Upo70H9KAGnrRilPFL2oAYOnP5U8UlITige4402jdxSdTQCQ6igdKOvFAgoFGKO2aAFA7Ud6B1ooAMUYoooABRnFFA5oAM5poG5smlINKOKQDduTTsUGkZsHpxQG4du9NJ+Q+uOnrSkj0oAB/CgBT0pAOaFORz2paYC9/aikz60tADSKO1FHakMQmgdRSGlFAdBSelFBHeg9KAG4pOhpR79aQjmkNCn1ppo60lA0FFFGKBi0h5I5pM5ox70XCwgTazHPXnFKBzTs0hNACE4oByaCM00cNQBN2qMnmnjkVGeDmmCFooPIxSDpQMDnIpSCAKO9LSAYOtGeaeQBTe9INxp60A460UY9RQUOppHFOpp6ZoENxgCjGcU3lmwaUnGOKBhtx0pqg7zz3qTA/GkA+ZuKAGyniiklXOKKBnyKK9d+DI/0XV/9+L+TV5EK9b+DRxbayM/xw/yavUxP8NnBS+JHqJ245PAq9aE/Z0z2UVRBUq2TgVethi2jBGCFAryTsWxYGCPrTgAoA7CmjpTh2IpiY6kJ5oHNIR6UCFpaaORxyKXvQAoFKKSmO6qMlhTEPOMVCSB0odzsyM1DvOCx+6KZS0G3Kq0ZVyFUg5JNc4RtdhnPb61uyzpPAwCluOh4rJEI3ZPJrSOhLM+aR43UoSGHNWbKdg+HJ5HftU9za5jVwBwelQ+W3bg96q6aFsPuJBM6NHuUDOfepBI0sTAErt6jdTfJ2gHbmgxDqQQDSAZ5vlLyM8jj2p5myMRDk9TinC33r90juMUohZcADn1xT0AbFAxbcxySeavRRAc457U2IED5gCadJJsXI6+gqWCHMi4yCBjuahnlVRgNn1OKZJOrKEHXOTmocbz0yfehIY9JC54zgdyKkUnGB3p0CkEYFWIoQeowfUU2wRWCbmwRU6R9QFwPWpzGB2GKGJx1AUCpbHYrSKwdsnhhg0BgikDO4dPSpHYMuRz600AMMEZFMQwneeRk0/btGSefQ0pRI+OpNJ/Kk2AAknFDuFBHfFI5wMg1EWLEkkUWGIGJpenXpSDqRShS30FMQ0Lu78VKsYPYYpQMcdTTwMilcYoX06U7oOBzQCAeOaCSORQMdjnJoA54pAeOQakHTHQVLGgGfxp4AApMHFC8n6UgHg5pQM+lIB1xUijjJoATBZcdKUDHGKfxWdqer2mlpmZwXPIQdfqfQUJNuyC9iwkCW7PJuwmONx+764J6CsHW/Ext08mxRyzcCXH/oI7/Wsu48R3mpTiKwiLBshdy559QBW3pGgrb4ub399dNyS5yFrpjR5VzTOeVa7tAo6J4eLq13qWZGf5ghPX3NdVFGoUIqgADgAYApUQk89KsKoA4pSqN6IIwS1YioFA4qTimn2pT0x2rK5Y49KQ0D0paTAYOtPApAMU4HrQgbEIpCaU9abQAUo6UUCgYHvTB61IRSY4oEmJ2ooo5pDFHSlFNBpQaYrC0UZpD60ALmjNMzj6UYzQOw4mk5oIJHBwaXFIQoGaM0dKM0AFAoxR0NAgPTjrTcYJ9TTs4pOpzQNDDgGnDpjtSMOaVBxSW4+g0Zxk9TS5o7CimA6jAx9KQCkI45PNAhc0dqQ8ml5oGIRQOKQjNKMCkA6kNKR700tTYIOPpSNRk5zTuooHsR/WgClo5pDG0UY4ooGKBTHyOlPPFMzk0gQZwKYm8s27G3+HFSe1J0FAx1JjuaBRjimIdSHrQKMCmAHtS4oPSigBuDmlxRRSAQ9KaelONRuiuNrDIyD+IOaBocB+NIe9Lj3oHSkMYW5A7mnHgdKAOc0H9aBiADrTX+8BTs4x9aa5CkHnk9qYC55xSD7x5pQAec8YoC4PU89aTAZKeB60U24yEGPWigZ8jjpXrHwaJ8nWPTdD/J68nFetfBjHk61/vQ/+z16mI/hs8+n8SPUSCFYdMDjitC3cPAh9VB/OqEnKkgjOOKvQbViUdflGPpivJO5bExIGTngDNJFMsrMgzuXg5Uik3ZHFSLwBQJokHSjvSdqToaZI6kopKADNV5lw2exqwaicgdeaaGMB+Ugngioy4XgdMUhcljj8qiJZ+tVYRGyIjMRwCc8VWZS77VHB4NXCFVeRniojIqrgLznvVJiI/LIG05IHTNNIjRQWySew60PFJK+7e34HFSpbg/eOaAInaMqME4PbFIfmA4+pNWvsw7dOnNOECpyetF0Fism/aBg4pCWzyDVklV44ppORxRcLFcyMOhwaZhnfccVZEG+n+SFHJouBVWAM3INTrb/L61ICi8nnPoKkRw7MoOMUXCw2BFQDIGc9cU92VdxGCaZvkAZflIB4x1ximqjN7fWgY4yDaSeuegqIsz8Y471MICTTjFtXggfhmloBAECjnOKC6qoAGDTnYAHkVXOc4ODTAC43HLfjSGQ5wfu9qjP3zS/KD2osArlmA44+tNDAHGKGPTFIBk5xxTAeMZz3qVQcZHemooHanqpPFIBeaCcdacExjikZTkc0mwQgcAHC5pS+WGB+NIpUZJ4x7Ub0ZuOlFyrEqHJHP5VKCN3tiq/PapELF1B9ahsaROB0HNOVMD9aeFGOlPFIBoUAZpwNV7u8t7KEyXEiovbPU+wHeuTvfEl9e3BgsojFGMj51+Y9sn0+n861jBz0M5TUVqbOu601hBtg2mRjtyecH2Hc/pXO6boFzq1x9qv3dYmO7k8t/j9a2tL0XKi61ANLOfuh+g/D+lbqoSwABxjsOK6E401Zas525VPQgtLC2soxHbQqi98Dk/U1dSL1p6RheTyakrKVRyZpGCiNC4HSnUmaM1ncsQ4GPanYpOadQgYoo4zmjFL3oEJ3pQeuRScU4dKBMYeKKU00daBgetA96D70Uhi9qM0AUuKYgphOacTTetAIWlx27UlLz7YpAGKQjinUhoAaOpzTgPWkFOoBgOnTFIc54pcUhPNAC0nNKKPegAooNGKAG0oFKBQfagLiDdu9qUcUZ4GetID6UAMQ5jU+oB/SlA4pAflB9QKUdKBjqaaUE96Q0AN9acOnNGKUUkMaxIBOCfYUuAaDSFScEHBFMQoyc5pCATThyBSEUMAxR0FKKKAEIpCOKUcCkznI9KBjRxS96T1oBwKQwNRk8ipDTCOaCkKDn60hNKBgUuKBCAcUtFJ1+lADh0pBSYI+lKORkGmAp/GgelITxSA9eaAsKelHWm7qUcUgsI2QOKDSnHekI96Bh2pAMZpQKDSATHNKaQHtS9aYxnAbaAR3z2prcnFPPB9BUW/exABG0454zSGKmMnmnZ5xmmA44prEjGD1NDGNuM4HQYoqG4YkDgY9CM0UAfJ4r1n4M/6rWf8Aeh/k9eTCvWvgycRazj+9D/7PXqYn+Gzgp/Ej1F/uHOB2zir8f3cgdaoSDK8jIyOnpmtVFG0duK8q1ztTsiMZZSAcEjr6VODiozw2AO/NOyOnT60IT1F3gnHehT16/jQNue2aXHNCEKTxTc89eDTj9ahkcDIHWmA5n21XdmYEdBSFznJOfamnczDFVYLgoANKQSOuKUAgY6/Wn4z0oArvGCOCTzTPK3DJyoHNWiAoznFMLjOAM07hYaI1QcU5QoNNyxGTwPagIc9aAHlscCo2YnrmpMYHJpMZPY0CICuT0/GlKhQTVgoMc0x03DAoAZE29QQKeyfKQaImRAVGKSWXkqNrZHUdqEMh2liMAEZxUioynI4p0aYGTUnuTRcVgX7hUgc9cUwYXGB9OakDrt684zUBfc3BpgWATjvmoJpcHYCNx6+1Nd2UcHmoD1yeaEAFTn096CNoyce1IXyASM4pHLMBjigQwnBPQ00gYz3PYU8Lg8c1IIwDzQMgKZIzyamWPaoJ708ADFPA5B7UwIwCDwKlVQvUc0hz2oGd3JpAPOeucVFKh3cd6mAzSyIWUYP5UmUiAKdvTPanxwfxEYqRY22gAc1OkRwM1IDERRwAKcYwGDAc1KQqLkkADuaz59TtoId3nK2CTuJwOOce/wCFCi29A5klqXJZo7eJpJnCIoySTgCsS/8AFdlbxfuS8srD5UCkE/596wLpNS8RXxMLsYF7uNoX6D/Jrc03wzaWbb5sTS8dRwPw710xpRjrNnPKs3pBGXbx6rrtws8jNDGM4OOFHoD3P0rorDSbaxAKrvl7uRzWgqcAAYHQVMIjwacp6WirIlQbd5MakZPXpU6gKOKAuBilA7Vg22apJAc5GOlGeaUjNGDmkMTqcUoHNOA9qB16cUCuAGRQaDxQaACm55p2cCmEHPNIEPBpQeKYB+VKOBTBoU80mKCPSl4oATtzS9TQaSgBelBpM9Rj8aB3oASkBoIzQOpFIYCnDpQKDigQhpO9BNAFAwIJHB5pVzgZpw4HNITQICaPwpCM0AHGTQADnrQM96cBQRQFwoHSk6dKUdKAGjANOPNNYEDPehT8woAU0gNKRSYoAYDlRzngc04Zpsajyk9lAqQjAoHcaTRmiigAzQGooFIBM+1ApTSc0DHjGAKQ9fak6gUGmxWFBopuaXJoCwp/OkPWk3YpC1A0gpO1ANLmkMaSfxpCMjqacaQ0DQ4DikxQDxzS0xBjJoxRnijPFADCMjGce9G3HNGaXNAxMAimBSCTTs80owT0oHsNCGn7DjrS9B1pC/vQK7YhX15o2/lRu4pN45pD1HYphGOKXJ9eKXPvQAymlsNTjTCTQUIX7n8famE7jkDOe9OZsnnpTc5wMfhQA0ZB4wKQKTnuan24UcDNNyBnigCtKnTmipbhN6AgZopXGfJIr1n4Mf6vWc+sP/s9eTDpXrPwY/1es/70P/s9epif4bPPpfEj1QIznao5PQ+nvWkSRgZ5xzVK1crMyZGGGeevH/66vEjGSK8k7QAzTgBjnmmg5FKD60AwIx7UBgwyDwOKM547UYGMUwFJ445qJwCOPzp4TGSeppdoNMCrs5yafjHSpSFFJwM4p3FYj27ee1Ju4zT9uc0FMDApgRkbumaBGM8nmnhQp6cUpPPAH1oAYUHOMmm4POeBUwIJ4600rk5OKAGBQOvJoz6ClOAelAGTnjmgBrHsKa5ZV4GT708rzkHmmkMx4bA+lMRAkGJDliBnIFShFXoOlOCqoPc+pppYdaAH5wCBiomkJG0AUMfQADv71C77TgUWAlJcgEYBHX0qMuVOOCTTfNJUg0wFqYh5c9zik5c8c0gUtjdkAVIEbb1AFADFjYnJwKeUwDTgeRinEHoaBkYX5sDNKUGP609V4z0IpcjOOcnrSuOwzgAZHSpFXIBpAg4PWnc9ulFxpDSAp6ZpMZbkfhUmM0BCcAZFK4DQOcVOkZOCeBSpHgknpVW71m0s1OGMsgHCJyfzppN6IV7F9UC+lVL3VILJWHLOBkgcAfUngVy9xruqalP5dsjRx5xtj5J+rf5FXLLw88soudSkaVzyI92QPrW0aNtZMwlVu7R3K0l1quuzMkKhLcHGckD/ABP+eKu23h6KBke5czyDgA9FGOgrdiiSJQiIqqOgAwBSuhJBxxmnKokrRWgowcneTI4oURQiIFUdABgfpVlYcnmlRCpGFBHck1MBWLnc0UUhFQKOKdS0nf2pXGKKKUCjA6UCDFLSdKXtTAM0lApaQgAzS4oBpCcGmAcUEYozTS2Dg96QWFx+tAPOO9N3jOKUHJBx/wDWoHYVgSMDvSAY4zSk0DpRYQhNJSkcUlDKQduKQdKWlx6UgAjik70oHagimIQc5pStKKWgLjSBnHeilJqGVRIApZlwc8HBNJhuTGjFAPFGaYB7UvakNGaAAdaM8+1FFIAPFGe2KDmgGgQhIORg0AYpTSd6BoCfegHmkNIKAEQDYMdO1O6UyJt0KNjG5QcH3pw5oGGRmg0AUvagBO9ANFAFIAJoB4JxRgUvagBAeKQij0opsYlOPSm7huxSmkAU3FOpp4pjQ3HNLSZznjpSg0hi0lLnimk5oBC0UgFLQAlLRRigBvrRzn2p+KT6UwuJTSTu9qc3TNRdWzQNDy3WoXmVDjcCfTvQx2KzkHAGaqAFCJpeGZuR6dgKNx7FxHZ/4Sv1qQECoI3HTI3HmneaoDHPC8GkBISfwpN3NRiZD/Fg7dx46CmvKiYO7r6Ciwx5J3YpT82eDjtWbcG6e5xHcqsSjLMVHy8dP6/hUcVwjgPJdz7ScA7VVW+nHt61XKTc0myWAGPelB2sAcflREySKGRgw9c5p5TPUVJQgkDhsdqYeG5pGQJwOM85phfg8HjqTQMe5O0Cim5OOlFSB8livWfg0cQ6xjs0J/R68mFesfBnlNaAPeH/ANnr1cR/DZ59P4kerW5DTjLEFRkY71oKao24IcsBlcEE+/FXh25ryTv6DxjFLx7UgHvSjNBI4dKO9A6UUxAFpDxSk+lMPXpk0wRGc7uelA5FSAd6QL3pjADFKSMetIVIpoUn60AICBSldw6UoQ554p4GDQBEEINP2nB4H40/GaQ8dBQIiKqBzzjtUZbPapHAzmoieeTTQ2GPU00uFBApjvzgYqNzx1NMkeH35xSFN0gfcxAGMZ4+tNHyjinZ2r1piGyNtU8YFVJWJIOCefSrDHJyfypyxlgTigY1YxwxzmnhMjjgVKqgjnk+vag5zjH0pXAaI+pJpHx0HSpNvJJP4UhPy9BRcdhoWg4HTnHagkY4phBB4oGkODNkfypcY+tCgk9OakEZwPSk2A3p704KT2xTLi6trKMvPKqD3PJ+grCu/FSkOlnCTgfffj6YFVGEpbIUpRirtnRfKilnZQo6k9Kyb3xNZWjGOFGuH/2BwPxrLgfVNVi2sikE58x/uj8O9aVj4etrd2knHnysckkYGfpW0aMY/GzCVVv4UZw1vVNRbbBbfJ6AEj8T6VNa6HeXTb9SnKrnIiT/AD/jXRxxKoCqgUegGBU6Rc5NU6kY/CiOWUviZWtrSG3i2QRqi+gHWrKxZHNTBAKdjH0rGU76msYJDAgAoI6exp4pj8Y+orNloeKWkHNOAoQmHWl/GjFHemIUDikNKDgUhNAgBoPFAoJ96BhSD86Qk+tGfSgLDxSE8+9AzSFuaAsAPam/xc07vQQOKAG459qcuMZopQOKAYhHNLxRRgUAIfakpScUnGc45oAXH50uKTqOtKc4pAJnmgmk6d6WgAB/OgtSUUx2HZqIxIZfN2/PjGfapMUYoFsN6GnDrQFpcUAAxR2oxzRQACigUY4oAQ0AdM0v0o/nSEBFJjmlJwKaTgj3oGhTSYp2abnmgBifNGp746inDpTU4QD0z/OnUDFpDS0hNAB3pRjFJQDQgA0hOBSn0oxQAgbjpSkg0Y4oNAxh68Gl3cUhHzA0p5qRh1ptOppIGckYpgIAe9HenH1qNyQKBrUcBS1CxbHBJNPBJUZoHYdmlpAKCARQIcTkY7UZpgpTg0BYUmk9KSjJ9KLjsLyRTO+D1p2aYck8UwQkqeZEVzg1WMBwWYlmPBOOg9h2q3SYouMg8jcxcuQ3b24pBakrtL8Z3ZxyT71Z6EcUpPHelcCubVA248kjBz3qP7Miqq/MSuOSfvfWrRx3GaYTxRdhYrSW6yQyRnIDjaSDzUa2EIQBxvOQckc5Axx+FXRyMmkPT1FF2OxVisxBK0iySHdxsJ4H5VbVyV2njjrUYdWXOGGOx4xQzBsAHt1FF76hYazh+BzikbG3A4pAigkAHGe9IxBHI6Uhgc9ufxopowcHt60UAfJ46V6x8GBldZ57w/8As9eTjpXrHwZ+5rIPrD/7PXq4n+Gzz6XxI9btlzDknA9vrVlBUFng2+M55J/WrK4ryEd7HLxwadnFJS84FBLFFKT2pgGTTxTEwoxS0UxCY5pCMU6igBNvqaXAHSkzS5zQAhNNp2KQigaG5qMue/T2qQgspHSo0i2LjJPfmgY1txBIPAqLhs+nrVgqTx2qF1G4KPxqkDIXUAc9PpTdvopI6ipyhLeg/nTwmPpTuTYrbCQMkAk0hQnqcirBU9AOKVY+emaVx2IhAPvAce9K+cEdKs7RxUMucYAwKdwsMTgdacWGelMVTgdc9alCH8aAEJ71G57HC54A71OEOPegQDPIyfU0DsVgh+ntUiQYAB4FWhEo9TTwgVfapbC6RAkXAwOfWmywSSAgOFGO3Jq2AKdtFCQnI4u88O3VxdkhxsBz5jHlvXgdPpWhZaDbwMHl3TyccucgfQV0LIPpTBFzXQqrUbLQ55U7u7IUj9BgVKIs1JtA+lOA9Kzc7lqNhEjC07FANLU3uVsIKWiigBOlMkzgY67h/OpKRucfWpYDh0FHfrQORRgUxACaM0hAPWnCgBOfWil60g9aYC459qQ80vb2ooAQDmgUGkB60DHZppGTSj3o70CQ0A0ZweacM9/zpCKQXAGnA8U0ClzgGgGAz3wT7UE89KaT+dOoAaB3pM8cin0FaAuNBNG8biOp7+1AHFBXv0pD0HcGgmkGOtBIFMQUooFLmmACkPPNLnikJ44oAWkJwKQHmgrk0gEBJYelPyKaAAaXk9KAYoopM9KWmAE80DvQaBSEI1MA56VIaTFBSYg5pMc04UAc0CuRIB5S+m0HrTxSqBtGOmBigihjuN6UHmlxS0gExj6UdDQe1FACZozQOlHagYAnFISc9KOc+1NY54obGkKOaWmbscUmW5zSuOw4n2pksSyrtbJGc9acpNLzjinuGwgIHHYcc0HBFGKMUgIyo5/lQuR7inY5qNwwwFzg9aZRL0xRnnrSAEH1pSKQg4xS9qAQBSZHpTAB7UY560EgUdOaAEwPSkOCDxjmlzz0xSHn60DE9qhuLqG0hM08qxRr1ZjgfT6+1SgYJqOSNJCrOoOxty5/hOCMj8CaBlKPVmuCDa2F3Kp/jdBGP/HiCfwFSz/2jIi/Z2t4WPLearPj6AFf51DDrEEl79maOeJmJ8tnTCSY/ut0P0OD3xWjuyOKHoBRt7W8SQSXWovKQc7EjVE+mOW/8eq4W7Dk0Hj6VCWKg5/I0rgSbsDPao3kUAAnaWOBz1p7KFQEAnAxj2qNkBAAA46GgY9RuBJJ6daYCSxBGAp6nuPalHAwTTNwHfdj3oAeDtO32zTWPzDPQihiGIPSkkICkntzTATHGFXp26UUisrZHXPOKKQ7HygK9Y+DIyusg9Mw/wDs9eTjpXrHwYGV1rA7w/8As9epif4bPOpfEj1qzOFdOAQxP581cBFZ8BIuSAMgpz7c8f1q7yV4wD+deSd+6Jc0A1GDgYOM98U4HI9qLhYlBp3FRA+9O39eKdyGh+aUmo1YkcginBs0XFYKQ0tIenSncYUuKbnFKDmi4C/WlphZgw+7txzzzmndR7GkIaWAp3WkAwMUtAxhzmoyMtnip8e1IFFAXIwmevFIVx2qQgClxmmBFgEngY60DAFS7Pf8qQRrzxQO6Iic/SmlWcgDkVZ2ADoKAo6gU7iuQiMY56ilAzwBxUxVScHmjgY4ouFxipgdadj04/CnYHXrQOKBXAClI7UmeOtLmgQmMGl+lAoNAg5oFFFMAxS4opcUAJxRSkUd6AEApeKTPOKQEHkGgBcgU1senend6aRyKQIUGgHnHWjoaXFMBc0Z5pKM0AOzxSHpSZxTSTRcEh+eKTOPrSA8daD196AHZpp60tJSAXNHekyKMjNMBwoPXpxSZpM80gsKOR9aXHFIDk0ueKYhO1A4pCcc0gbNIY8UHgUgJpG+bjPFMXUQEgUuaM0g6VJQoIPSkbJxjHXvS9BRTEA5FOpvTnmlBpgxwpv6UhYdM0uaBWDPpSg03PrQKB2F70tMB5p1ANC5yelLTR7UZ5oELnmlFJjJox70ABPpzRmj1oAFAAMUZoNJxmgBq/KoXnjjmgnmlByoPXNIRSGgyc9OKCaBxxS4oGIDmgnFGQDijHpQAgzznmlzS0hoAXNMIBpe3akyaGNEXkfvhJk8DgdqlFGTSE+lCSQasXpQTScmgrSAxdT1CeGfYh2qBkccmn6ZqUlzMY5APu5BFVtVsLiW63pko2PwqfSdOa3d5HOSeF+lZpy5jotHkNjg0YFIM5xQRkjrWhiJmnHpTcU7aKYMQgAE9qMD8KCooAGaQDSAcdaUUEAYoxQMjmlWKFpCCQozgdT7Cs2S4vIprd3aPEsioYAuSoIJPzZ5IwT07VbuwJJYYcjcSZBnkfL0/Isp/CqthpksEv2i8u2u7kDarlQqovcKo6ZxyTk1QI0iRUFwxW3lIOGCkj64qViFyTVOWdLi3ieNiUlZSpxjcM5/kKQxY0RERAuQgAGe2BipHmKJu2MxyBgdeT157DrSkoM8iqtze2dswa6uYYFUdXcKMn6/55pIZcLAjrxWVqNuLrz23Os0EYeEo7ABsHnA4PIxz2p9nqtlfPIttdRSnJ2hDzgcZqOJ/tEkcyTnLIysMDIXIOCPbkevJp7Aa0TF4lJGMqCQaGTC+2aYs6NIyBxuUAkZ5AOcfyNPZuMUgIHLElSh9iDxSZVSATnPTHJp0hdtvK7f4s/0qF2dFYp8xwdoPrQ3YdrkuccDOQMjPemgu0X71VDdwDxSROzQoX278DIHQGnFuuKPMBgUHviim7wpGTnI60UgPlUdK9X+DB41oH/pj/7UrygdK9X+DPTWuP8Anj/7PXq4n+GzzqXxI9XgYCZs9lH0xzVoMOetU0Dea2M4KgH2qcDnrmvIZ6K2JwRTweahAxg5pxYYqbjaJQeaXPNMGCB7Uueaq5Fh+7FAaoi3NKOlFwsTA0ucioVJzUmaaZLQ48imFSGz1o6040BsNxhsk08EfhTM5HQ07pQgFFKcjoaaDzTs0xMKQDBJ7n3opc9qAFxSdDQTijOelAhaSjNFIAJ4pRnFMJpysM81SYW0FI+YZ70uOKaWGR3Io3ZI9KLisx4oxSD2o3ZpgKRRTc8UE0BYcKM03NGaQWHUUlApgAPfp9adSUZ4oEOzSfypu7mjdii4WHE4FNyB0pC2TSHOetA0h+aax4poBFIxxjgnkfzpDsSA0E4puc0UAOB5o75pBS54ouIM5+lBPtQcEc/lSZoAUZoOcmkLcUhJz7UXCw7NNJOaTJpMnNFykhw7etKDk9aYCR2oDYPSi4rEhwKTvTCcmjdzii4WJRxS4qPdzTt1AmgJ5PbFNOAQRikJxTWOSOfei40ibNFRhjS7uKLhYcOM96M5FNpA2ee1FwsPPIpgJBIPanZxTSfmz3ouCQuT6ZBpwFJQTxxTuIUoCd2Bn1pucUBsikPPWkND1ORnOaDTEOMihmzzRcLajxjOaXNQjJbOcU89cdsUXBoeDmj86QHijOTxTuIdmgE0wnFKDSuKw4cUZpAc0E0wDOKUHIpOlIDSCwke7y1ycsAMn1pxoUgqGHQ80h5pgB60A0hHHNHvSKAn2pM+lFHrQAZ9qCaKQjJ6UAKSCMGg0wnBFKACQe9A7DhRSAYzzn0paQAOCTzzSFqb2oAFO4WGTxmSMqGxnvRHHsQLuJ9zUlHY0ra3Hd2sJmkLYNBxjHrTe9A0h2QaWmjtzTqYCE/lQOecmkI9xSbaAAg446007x0p2G/CjlR2xQMydQ1ODTtTtvtjiKKWNlWZzhVYFTtJ6Akcj/dNRWUpv9Tlvre5mezMYjUE4jZs53KO/wDvcg59q1pUinXZKiuvXDAEUoVFXAwo7AU7gQtlwcOpQgqccnP1/OsqwivkSOC7RVW3XYrhgTMegb247ep9q1xGqLhMLyTgDHJOapXt6ltGxG6Rl42Rjcc/SpGOFtsdmLswY5wT0rNfw/YvLLNJGj3EuczugZx9M9Me3pSxajf3KF0tFiB6CaQgn6gA1G76sy5MtrH24Rmx+OR/KqSYXNKCxSDiIAKuAoHYY6U+O2jikdwiqzncxAwWPqfU1X01LwRF7i5EhJ4AQKP8auM5HUCkxjh74PvQxOMjp61GJFBGWx3qrLqcAmESOC7EgHsCOxPQHkfmKEm9gs3sWWcbgpYBiMgE81AZB3IH41j3N1cm7llCs4hdYgEwpZmVccnsNxz9fapllSRpkjKiVTtYlS21iMjrjI5puJTVkmXpL+KLao3MWyFAGdxwTgdu1NTUFmjVyDCGYqBJwdwOMYz1yO1U4rSUPbs07MI2ZmLgZYlSO2AMZq5FAkGHPzPjG88n/wCtQ+VBZWJ9zL1PNFJlZFJJOAetFKxNz5aHUV6v8Gums88/uf8A2evKRt2nJO7PAxxivVvgx/zGf+2P/tSvUxP8Nnn0vjR6kX2Sjqdw7dsVMhO7INQn/XAgHBGD7VKMg8V40tz0Y7EwbPr7UFgKaOOTzQcMR61IyVHHTvTg3XioUB6GpB39KpMLDi+DzSg/nTBwBxmnDgUxWJAeadnI71HmlB4xTTJaJAaCeaiLcetBai4rEue9IWwMk4poIIyM4oJGKYWHA5FODVGCAKcCKEwaH5pN1NzijNArCseKRXOKaSKB/KlcLaEoPvSbupNMB70bs07hYfuGaAeaZn1pRxRcLDiee/Ap6kdKhJw3rxTgc4ouJolpO3FNJzQMAYHFVcVh2aOPxpuaM0rhYdmgnmmZ5oyaLhYfnpRTCQRQTigLD80UzdkdKXNFwsOxxRimbqN1O4WHjg0E4qPdSFqLj5SQnimnJPembs0A5z+FK47WJOgHXApc4FMJyKUnIpCsR/a4RcC38xRMV3BO+31qcHNQGNPMEm0bwMA45x6VIGpphYeO/Ofb0oJyKjLEH1oBzRcViSkJ5oB5pDz7UgsO60gODQeBUTviq2GlclJFNJGRx0poY4+vSmM+GxkCk2NIlyMUgIzUW+nA4NK47E4PtSgD0qEE5p26mmQ4jj1ppwTnHNNH86BwaQ7DyeKCxwSBzTTwKCRincLCk5HSmM+1CwBOBnA70pYYpM5GO1K47CI+4Z5HsaeT/OmjAGM0ucUBYUtS5phPNB7UXCw8EdaTdyQKZupPencdh27kUuTTcUA4OMGlcLDwe9O7VHnjrS54FO4rEhbik3Ypm6kLHr2pXFyku4Y4pN3NMDCjNFwsSg5xSlsVGp5pWOTTuK2oFie9KhpmfSkTBJBGQTnmi47aEwyEA644yaYCaN3y0mabYkh+eKKbmkzz1pBYfSdO9N7etGaAsO3c4pdwqPoOtKDTuFhfp1pwxnPrTAeSKXNIGhSfmFNyR2zSO2CMkUhzxRcaQuc0Ej0pjcn6UA570irAWP5UobNIBjvQMZ/woAdnIpOaGIA+lIHHqKYCjJNOxSBxSl8dBTuJ3EJAOc4pM0bs00nn+lFxpDwcDrUUrHPB4pQ2KYWJPai40hh600jnqafkdxTWZT0IqRgX2g4qsXDg4AB71OfmBqrkrIQSQKYDAmGOOx4GagldYULyOFXt9fTHc1bCNuzjjpmq15A2RLHCssqKxQO2Bk/y+uKa3CO+pkxzXmoak2yYRW9mQfs/GWYqGBY+mD07HnnFalzqEcSMzvxtLfIM8AE9enQGqdpDLJbymaDyXmYtJGSGxwFAyOvAFLBpAiWAsPOKAKd+VAwMAqOcVfuvRltxenYbbagbq1llSJwq5CBCGLDaOnbOcj8KjWC5lMSoqrEvy5xtYAMGGBjHOMHp0zitZIRAgGFA78d6jO1GznINF7PQXMk9BiWiPcmUoVbg5LcMQCM47nBxU3ljdnJJHYDihJGckjGBkAYyT7/zqlLPeeRcqAZHUhRswpCkDJA9RlsfSizZKTZZmkEFu0shwI0LNgZwB7ComnQbSWBDfdGev0qtFaXj2p3qGZokQ+YcsBzuzjvg/nU0NjL5u+WMEqMK/GTzn04pSikVZLqTh/LX3PvRS+UzckFR70VGotD5hFeq/BnOda/7Y/8AtSvKh0r1b4M/e1j/ALY/+z16uI/hs82n8SPUHbEikdCOfwIpwfIIzTXHNUxI3nfePavHkrs9GL0NDewwMcU7zMc1WglfI+arkg4WlYq4iS5yfSl80596gk+VTt4qJGJY89qVguXxMAo5ppn5rOnkZQdrEcVlx3lwzcyE8+g9aaFc6cTgDHSnCdRkEisMyyFW+Y9v51IZHwPmNMDYEyE5DZoM6kHkg1hrK4Y/MamEj7T8x6UxGuJ1BGTSmdTjpisfc2RyaBI/940AaxlXPDU4TDB5+lZgY561IzsE4PamBoCYHIyMj3pqSlieCOfzrPZjzz3qaN29e9IC9uz3oJPSoATkU7ccHmmIk3845Bxmk8zA9aidj61EWODz6UDRbEvU05H7Vmq7ZPNSJI+77x6ULUTLwbJYenHFKrDpmqqMctz3NLk5FDQFwOKUtkcVVT71S5ODTSFYduyafnNVYiSx/GpsnFD0AkFDEYqIMdvX1/nTlJOc+tK4WHg8c0uc00/dqME5H0oCxLmkzTCTmkJPy/57UDsSZozkEU3saTPzUCHbgc801nAXNRL3+ppf4TQMcG49DSK+Tjkf1qNSSD9acO31FAycNwcU4HIBqPtS5+WnYljjzketLVcsRjnvUgPIosA7PXmlB96T+GjoRSGPzk0Hjmk7U0scjmmTYc7ELmoCTnIP1qSU4qu3OPrSY0TquV4Oc9aSSIA5zyfakiPA+lIzHzSM8UPYfUcilSQTnjrin8Cm/wAJpQetCQMUkimFyXAXHQ5pX6VWDHzhz/D/AFFAFkOSeVI+tOJyD2qAE5pzE7W+tAWJeopgfk+1CfcoAGDQA8EED09KUHPGMU0fdNLjAOKdgA0nU4zS0nekwG87gP1qTBJ68Y6VESRIPof6U9TyaSBjiMVGSBmlemimCFBOM/zpSwxyfxpjdD9KgYnaKBllSAAB0HvTieKroeDTGdgpwTQBZzu9RxS5K8HketVBI+PvHrVmMlhzzQIeCO1AJz1z70xeKf2oAVW5IpS2O4phPzU3PzGgLDyfXigHBHNRkmlz0oAlLryM9DTSQfU/So/4n+ppw6ChiQoIA6n8TmgEA+tLTP4jQMlDDijIqIkgcU7rn60CHg5B+tKDUYPFIScUBYk43k+1OJqFCd34UhY8c96dgsPYgsBn86duXHJqpP0FPT7v4UluNokZ+SBUZYZGOfpTHOGNJH1WnYLkxcZxu609eMck1EygMOO9DOyoMHFAEz7mBx0qMZHbGe2RUO9tw5PSnknH40BexKASeopcf7QzUMjEA4NQI7BjyaEgLoODyTSHGc81CSd/5012PPPpTsFycuvTBzTdy56HP1qEscDmkY4bj1FOwrj3cdlFRM3GQOac3JNIPvD6H+VKw0wV8DHA96jl+YghOfpR1JzTCx2rz3pDZMjgKAQAfpQMMSAR+eargnf+B/pVoElR/uinuJMidCCBgZqaIHaN2MYpq/w/WkmYjof4h/OhIGPfy1GcDgHNVWMZQFAoB9uv41HdMcMM8bW/lVUSOSnzHp/WqFuTwJ5LMylvmywG4kDPXAqrdo7XUUcLFUDbnweDkng/U1YclCNvHNRxMQ0rA8luv4U9wuKBIJ5HhZtiglgedzY6D0/z71XSVx5jtKxULtyVPzMfSrlqSLAsOuCc/iadFGjW8e5Qfun8c02SiOzhfytxZsNg7Cc44oq0eAKKgD//2Q==</Data>
</Thumbnail>
</Binary>
</metadata>
