<?xml version="1.0" encoding="UTF-8"?><metadata>
<distinfo>
<distliab>See access and use constraints information.</distliab>
</distinfo>
<metainfo>
<metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
</metainfo>
<dataIdInfo>
<idCitation>
<resTitle>Cincinnai Streetcar</resTitle>
<citRespParty>
<rpOrgName>Ohio Kentucky Indiana Regional Council of Governments</rpOrgName>
<rpCntInfo>
<cntAddress addressType="">
<delPoint>720 East Pete Rose Way Suite 420</delPoint>
<city>Cincinnati</city>
<adminArea>Ohio</adminArea>
<postCode>45202</postCode>
<country>USA</country>
<eMailAdd>dshuey@oki.org</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">513-621-6300</voiceNum>
</cntPhone>
</rpCntInfo>
<rpIndName>David Shuey</rpIndName>
<rpPosName>GIS Manager</rpPosName>
<role>
<RoleCd value="007"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
<date>
<reviseDate>2014-11-24T00:00:00</reviseDate>
</date>
</idCitation>
<searchKeys>
<keyword>Streetcar</keyword>
<keyword>Transit</keyword>
<keyword>Transportation</keyword>
</searchKeys>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This feature class displays the route of the Cincinnati Streetcar.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>This data set is used for mangement and planning of transportation and for mapping applications.</idPurp>
<idCredit>Ohio Kentucky Indiana Regional Council Of Governments and the City of Cincinnati, Ohio</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;By acceptance of this data, the user agrees to include a copy of this metadata record, including the liability disclaimer, whenever the user transmits or provides the GIS Data (or any portion of it) to another user.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<themeKeys>
<thesaLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</thesaLang>
<keyword>Streetcar, Transit, Transportation</keyword>
</themeKeys>
<placeKeys>
<thesaName>
<citRespParty>
<rpOrgName>Ohio Kentucky Indiana Regional Council of Governments</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>720 East pete Rose Way Suite 420</delPoint>
<city>Cincinnati</city>
<adminArea>Ohio</adminArea>
<postCode>45202</postCode>
<country>USA</country>
</cntAddress>
</rpCntInfo>
</citRespParty>
</thesaName>
<keyword>Ohio, Hamilton County, Cincinnati</keyword>
</placeKeys>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idPoC>
<rpOrgName>Ohio Kentucky Indiana Regional Council of Governments</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>720 east Pete Rose Way</delPoint>
<city>Cincinnati</city>
<adminArea>Ohio</adminArea>
<postCode>45202</postCode>
<country>USA</country>
</cntAddress>
<cntPhone>
<voiceNum>513-621-6300</voiceNum>
</cntPhone>
</rpCntInfo>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintScp>
<ScopeCd value="005"/>
</maintScp>
</resMaint>
<envirDesc Sync="FALSE">Esri ArcGIS 12.5.0.22081</envirDesc>
<dataLang>
<languageCode country="USA" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<descKeys>
<thesaName uuidref="723f6998-058e-11dc-8314-0800200c9a66"/>
<keyword Sync="TRUE">002</keyword>
</descKeys>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<westBL Sync="TRUE">-84.520502</westBL>
<eastBL Sync="TRUE">-84.496877</eastBL>
<northBL Sync="TRUE">39.118268</northBL>
<southBL Sync="TRUE">39.089083</southBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="018"/>
</tpCat>
</dataIdInfo>
<mdDateSt>20110531</mdDateSt>
<Esri>
<ModDate>20200305</ModDate>
<ModTime>14284900</ModTime>
<ArcGISProfile>NAP</ArcGISProfile>
<ArcGISFormat>1.0</ArcGISFormat>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Streetcar_Line</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">1395292.001718</westBL>
<eastBL Sync="TRUE">1401764.410162</eastBL>
<southBL Sync="TRUE">403071.751925</southBL>
<northBL Sync="TRUE">413560.061853</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Ohio_South_FIPS_3402</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/2.5.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Ohio_South_FIPS_3402&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1968500.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-82.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.73333333333333],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,40.03333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,38.0],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192]]&lt;/WKT&gt;&lt;XOrigin&gt;-119670700&lt;/XOrigin&gt;&lt;YOrigin&gt;-95612900&lt;/YOrigin&gt;&lt;XYScale&gt;37024245.698512398&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;0.00328083333333333&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;/ProjectedCoordinateSystem&gt;</peXml>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
</coordRef>
</DataProperties>
<SyncDate>20200305</SyncDate>
<SyncTime>14284900</SyncTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<CreaDate>20200422</CreaDate>
<CreaTime>09235800</CreaTime>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdContact>
<rpOrgName>Ohio Kentucky Indiana Regional Council of Governments</rpOrgName>
<rpCntInfo>
<cntAddress addressType="">
<delPoint>720 East Pete Rose Way Suite 420</delPoint>
<city>Cincinnati</city>
<adminArea>Ohio</adminArea>
<postCode>45202</postCode>
<country>USA</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">513-621-6300</voiceNum>
</cntPhone>
</rpCntInfo>
<role>
<RoleCd value="003"/>
</role>
</mdContact>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</mdMaint>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode code="0"/>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Streetcar_Line">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="3"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Streetcar_Line">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="Streetcar_Line">
<enttyp>
<enttypl Sync="TRUE">Streetcar_Line</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Id</attrlabl>
<attalias Sync="TRUE">id</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Line</attrlabl>
<attalias Sync="TRUE">line</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">status</attrlabl>
<attalias Sync="TRUE">status</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/4RD+RXhpZgAATU0AKgAAAAgABAE7AAIAAAARAAAISodpAAQA
AAABAAAIXJydAAEAAAAiAAAQ1OocAAcAAAgMAAAAPgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEJyYW5kb24gRmxlc3Nu
ZXIAAAAFkAMAAgAAABQAABCqkAQAAgAAABQAABC+kpEAAgAAAAMzMQAAkpIAAgAAAAMzMQAA6hwA
BwAACAwAAAieAAAAABzqAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAMjAxNDoxMToyNCAxNDoxMzozNgAyMDE0OjExOjI0IDE0OjEz
OjM2AAAAQgByAGEAbgBkAG8AbgAgAEYAbABlAHMAcwBuAGUAcgAAAP/hAq9odHRwOi8vbnMuYWRv
YmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6cmVT
ek5UY3prYzlkJz8+DQo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIj48cmRmOlJE
RiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMi
PjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1hZDMx
LWQzM2Q3NTE4MmYxYiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIj48
eG1wOkNyZWF0ZURhdGU+MjAxNC0xMS0yNFQxNDoxMzozNi4zMDY8L3htcDpDcmVhdGVEYXRlPjwv
cmRmOkRlc2NyaXB0aW9uPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1
LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9k
Yy9lbGVtZW50cy8xLjEvIj48ZGM6Y3JlYXRvcj48cmRmOlNlcSB4bWxuczpyZGY9Imh0dHA6Ly93
d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxyZGY6bGk+QnJhbmRvbiBGbGVz
c25lcjwvcmRmOmxpPjwvcmRmOlNlcT4NCgkJCTwvZGM6Y3JlYXRvcj48L3JkZjpEZXNjcmlwdGlv
bj48L3JkZjpSREY+PC94OnhtcG1ldGE+DQo8P3hwYWNrZXQgZW5kPSd3Jz8+/9sAQwADAgIDAgID
AwMDBAMDBAUIBQUEBAUKBwcGCAwKDAwLCgsLDQ4SEA0OEQ4LCxAWEBETFBUVFQwPFxgWFBgSFBUU
/9sAQwEDBAQFBAUJBQUJFA0LDRQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQU
FBQUFBQUFBQUFBQU/8AAEQgDBQGNAwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgME
BQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEV
UtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3
eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh
4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALUR
AAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDTh
JfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJ
ipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz
9PX29/j5+v/aAAwDAQACEQMRAD8A/VOiiigAooooAKKKKACiiigAopKKAFooooAKKKKACiiigAoo
ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
gAooooAKKKKACiiigAooooAKKSkaRV6sB+NJtLVgJxiiuP1/4laR4Z1iHT74Tq0kXnecib41Hzdc
c/wntUbfFrwtH5bnUwBINw2xSN328/L8vI714E88yunUlSqYmEZR3vJL8yPaU/5jtOoyRimnpk/n
XmUvx00rzXgsrC9vJ93lwrtVRI38P8W75vTbu/2axvFHizX/ABlolzpY8J3tr5wVvNJYY2tv/iRf
7tePieLMtp0ZTw0/ayjsopu76K6TSuYyxELe7qez7h2ORRu/GvmfStX8XaPpC6pa3N4mlj9wskh8
yMY/uq27av8ADu2/7NepfCbXtZ8TWup3+p3KzQCbyoI0RV8rjLfh8y9Wb7tcOTcZ0c2xMMG8POnU
kub3trd79vkRSxKqS5eWx6TS0lLX6MdgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFJS0UAR4+UkeleIWui3
3jzxtr2n6nrF5b2tvOSLLO3zI9zbSqnjA2xndtOd3+1mvcPavK9J/wBH+OWrCVfL+0WgEW/jzPli
5X+991v++Wr4TiWjCtUwUautN1OVrWzunvbzOetHmtczda+BI8yzXSruYq0u2d7og+XHt+8u3b/d
27f9r+Gu30T4Y6Botmlv/Z8N6QSWmu4lkdvqcV164+lGMV2YPhXKMFXliKVBc0vnb0HGhSjLmjEh
t7OG2hSKKJI40XCqq4AHpU+welLRX1UYQguWKNzC13QYNT8N3WloiQRPAYYx5YKx/L8pC+3H5VyX
wNuI5/CMkSQiJ4bl43Zf+WhwG3H/AICVH/Aa9HlxsYe1eWfCjOl+IPE+jf8AHvFDc+Zb20n3tu5l
3DPLDaI/0/vV8fj6cMPneCxEY/Epw/C6/JnNP3akZHq1LRRX2p0hRRRQAUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
AUUUlADD/LrXzz4u8VXEXxUN9ZFrprKZbaGJY/mOPldOV/iYuu7/AGvlr6GU8dc15P8AGLTrfRLb
SdZs7eOO5gv95VV2o7N8zMwX7zfuxX55xrh69bLo16NTk9lKM330/wAt/kjkxUXyc0eh6XpV+NU0
+C6WKe3Ei7vLuIzHIvsymtD71MhA8pfpTt1feUW/ZxUtzrHUUUVuAxunrXht14007w58UNU1YSNf
2txbqitZMHwdqc8kL/B/Dur3Fj8wArwz4seEYI/GGkm3Ithq0nlS7U5D7lXzOo/v/wDjv+1X53xr
9cpYSjicFbmpzi9fuX5nJiueMVKJ7RpepR6ppdpexKVjuYlmVW67WXd/Wr33hTIlCxgegp2a+9pO
XJFT3OwdRRRW4gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAZ0NcH8ZIUl8A3rMiu0bxFGYfdO9V3D8GNd53F
ZmvaWNX0S9si/l/aIXi3gZxuXGa8bNsNLGZfXw8d5xa+9ETjzQaKPge8/tDwnpVw0xuHkto98m/d
ubaA2W9c5rocV5t8D9WN54VksyVzZzsiqp+Yq3zZYf7zN/3zXpPtXPkOKjjMsoV11ivv6/iTSlzQ
jIdS0UV9CajOOleYfHS3kXw/YXsMbCe1uwwuIwN0Q2t827+Hnb/wLbXpzVyPxTs21DwHqkaOqMkY
mJb+6jB2/Ra+a4hovE5ViYR35W/mtUZVo81NnUWlxHdW8U0UivG67ldWyCPWrFcn8MdQGpeBtJkC
+WVh8nbnd9z5M/8AjtdZ/DXqZfiFi8LSxC+3GL+9FxlzK46iiivRKCiiigAooooAKKKKACiiigAo
oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
igBOlUNW1CPTNJvbyUEx28LSsF+9tVdxq9mkZQwxWNROcJRjuM+cvhjqOsaf4qY2trPetNH5lxA0
oUlGZT5vzEZb5t3+1ub+9ur6M6tmvLDGNG+OG3/WjVLTj+Hy9o/8e/1X/j1ep46nHNfn/BuDlgMN
XwsqjlyVJL+vVNPd/mcmGj7OLiSUUUV+jHURn6jFYPizWrDQ9FuZ9RRpLQp5bxeV5gbdxtI98454
5Fb/AOtV7qzivIHhlRXRl2lWXII9K4cTTqVKM4UX7z76oUr20PE/gn4qltb5dCSyM0dxK88lwsn+
qXyx95dv94Kv3v4q9zFeM/DzQYvDPxQ1bTULTeTbHZKzbcKxRsMv8TfMvze3T5uPZxwBmviuCY4m
llfsMVK8oSlH0tpbzOXCqUafLMfRRRX6GdYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFJQB5V8QcaT8Sv
CepRHMs7G1YOfl27lX8/3rfpXqKr1PqK8y+OkMn/AAj1heQRss9rdhhcRgbohtb5t38PO3/gW2vR
7O4S6tYpo3WSN0BV1bKketfG5X+4zbHYf+bkn965X+MTCHuznEtUtFFfZG4UUUUAeUauBo/xq024
XNvDf22yWR8bZWww25J6/LF0/wBn+9Xqa/ePpXl3xk/0G98NaxJzb2V5l1UZc9G+X/vg16hHkqp9
q+NyW1DHY/C/31P/AMDS/VP8TCnpOaJaKKK+yNwooooAKKKKACiiigAooooAKKKKACiiigAooooA
KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKSlooA8p+Od8
40ewsIRMzXEjSssY+VkjGW3H8Q3/AAGrfwb1LVLjw3HDd2bixjDfZr7zVIdQ2NhXduXHOMcbR/31
3OqWMGpWM9tPGJYpY2jdc4yCMGuD+CF9I3h26sZ22y2d06CFhteNTzhh1Hzb/vV+azwVTD8Uwxcq
z5asGlH/AAW0f4vSz/Xk5eXEc3c9OopKWv0o6wpKWkoA8o+OGoRpoNvaS2U0hllDQ3IPyRMN3/j2
3Pyt/e9q0/hN4s1bxVY3cmorCYoCsUcsa4Z2x82fm/3f4V61ufES1iuvBWrpLH5mLZ3Vc/xKNy/q
BWR8GbOK28C2skahXnkkkds/ePmMv8lFfmf1XF0uLVUjV/dypXcf8OmvfV3T3+7Xj5ZfWL8x6BRR
RX6YdgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFJS0lADO5+leX+BsaL8UvFWl8yC423XmdNvO7bj/tr/47
Xp/r9K8t1rGmfGzRp8/Zobq2MbyfdWZsONpPdv8AV/p/s18ZxB+4nhMavsVUvlO8H+ZhU93lfmer
0UlLX2ZuFFFFAEUi7o3HXIry/wCB5+y6XrGnS/Ld2143mx9cfKq9en3kb8q9RPpXl3gxhpPxa8Ta
bFgw3CC5ZnPzbvlbj2/et+lfHZsvYZpgcV5yh/4Gr/nEwnpODPVKWkpa+xNwooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKSlpKAGY6dq8A+NUN5ceKJLmS0eG0t0itknb7sxKlzt/Vfwr6AHSvOvjZpovPBbXG7Y
bSdJQoX72fk2/wDj/wClfBcaZfLHZNU5ZW5Pf9eVf0/kc2KhzUpI6nwyuqjR4E1j7O14uFMlszFX
GPvH5V2n/PtW4ufwrM8P6l/a2i2V5sMf2iBJdmc43LnFaajb9K+swVvq1LkfMuXd7nRHYfSUtFei
Mj285r518eeIdb0/x59teIaVfWseyAp+9Up83O4r827Lfw/+PLX0WfSvKvjhoKXGhxamlsrzW0yp
LN91hE27j/a+Yr/319a/OuOMHicTlbq4ao4ypPn08vx03Rx4qMpQ5o9D0fSFuk0myW7dZrsQqJpF
Hys+35mH/Aqv9qpabeQ6hYW9zA4kimjWRGxjKkZWr1fd4ezowcZXVjsFooorqAKKKKACiiigAooo
oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAKSlooAZjpXP+ONH/tzwpqVmsQmleFjHGWwDIvzJz/vBa6GmyY2MD3FcOKoQxNCdCfwyi19
4pR5lY4L4M6p/aXguCJjI0lo7QFpBgf3l2/7O1lH4V33evJvgdeQW9vquk+fG9zDctJuR8pIvyru
j9V4/wDHhXrWa8Dhau8RlGHcndxXL92hjQlzUkOoopK+tNxD92uT+J2njUvA2rRlvK2Q+duxu+58
+P8Ax2uqGeKzte03+19FvrPeY/tEDxb8ZI3LjNeZmVH6xgq1G1+aLX3omceaLRjfDO/Go+BdJl2e
Xth8kLnd9z5M/wDjtdXXnfwS1IXngtbfZt+xzvEWJ4bPz7v/AB/9K9ErgyCt9YyvD1VK94R++2v4
kUpc0IsfRRRX0RqFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACCqGrPdR6TevaRrNeLC7QRsflZ9vyqT/AL1X
xSetZVI+0g4vqB87+BPDOrab4+fT0vV02/tIBLIQnnIykIdjAMufv/8Ajvy+tfQvOQc8d68u1lf7
M+NmjTk/ZYbu2MbyfdWZsONpPc/6v/x3/Zr1Hb8wr4DhDA0svpYrCU7+5Vkt+mjX4P5nHh4RpqUf
MlopKWv0Q7Blc/4qvtR0/Q7m40yzF7dKpIhL44x1Ud/93jPrW+PahhuU55FceIpyrUZUoy5XLqug
pao8E+DWrajJ4n+w28sdvpbb7qe1VevyqvBbc33sfxfw174K8h8P6bbeG/jNe2qxLawXVrutY1+6
fus3+7ykn/fP+7Xr3TFfD8F4ethcBUw1aXNKnOUfu7dl1S8zlwsZRp8sh9FFFfoh1hRRRQAUUUUA
FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUlAHlfxq/4lz+HdZ+/9ivR+64G/Pzfe7fc/WvT4/mjBz1Arh/jJbpN4BvnZ
FZ43iKFh90mRV3D8GNXfhv4hj8Q+FbSRZXlnhRYJjL97zFUbs+vr+NfD4atTwvEOJwspfxYQn914
v8kc0fdrSj3OwpaSlr7g6QpKWkoA8q+IONJ+JXhPUojmWdjasHPy7dyr+f71v0r1FR1PqK8y+OkM
n/CPWF5BGyz2t2rC4jA3RDa3zbv4edv/AALbXo9ncx3VrFLG6yRugKurZBHrXxuV2oZtjsP/ADck
/vVn+MTCHuznEt0UUV9kbhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUlAHHfErQNR8TeH/wCz9OlhiZ5V
ebzvusi87fut321xfwN0eP7Pcaol3drKJTbyQDAhbChh/vfe+98v936+wyD5COpry74P/wCi6x4s
06P5LS2vP3UWfu/M69ev3UX8q/O8yy+jHiLBYyWspc8fSyurfjf1OSdOPtozPVqKKK/RDrCiiigD
y343rqv/AAj4Nu0X9lbl+1jB8wc/Lz/d3bff8N1M+BZurjR764nu5riFZVt4opGJWJUX+H8/0r0L
WdPi1XSbyylJEc8TRsV64K4rhvgbfPdeEZIGVUS0uHiQr/EDh8n3y7V+aV8v9jxXSxkqjtUg7R84
/pZ39fw5JU39YjI9Mooor9LOsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkpaKAI/4q8vt/+JR8dLjzOf7T
tP3ewdMKvX/v03/jtentnmvHPiZr0Hhv4l6LqSrI81vD+/XaWXyizL8v+18z/wDjtfDcVVaeFw+H
xdSXKqdWD/R/g2c1aXKoy8z2daCM1XtbqO6gjmjkWSN13K6tlSPWrG6vtYTVSKlHY6RaKKK0Ajk5
VvpXl3wr/wCJf4r8W6a/7hEut8NscLhdzfMq/wB3b5f6V6iw7e1eWQY0f44T+aRjUrT93tH3cKv3
v+/Tf+O18ZnlqGLwOKf2Z8v/AIGmvzsY1PdcWer0Ug6UtfZmwUUUUAFFFFABRRRQAUUUUAFFFFAB
RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF
FFADGG4da8U+MXg2cfa/EInknUyRR+U52rBHt2n/AHvn29P7zV7ZXKfE7TxqXgXV4i3l7YfO3Y3f
c+fH/jtfJcUZbSzLKqsKseZxTlH/ABJOxhXpqpTaLfhOw07TtFtxpSstjKvmxgu7fK3zcbvu/wC7
W8vr61yvwz1Aan4G0iQJ5RSHydud33Pkzn/gNdVxnnrXq5XUhVwNGpTilFxTVtFquiNaduRcpJRR
RXsFEfJ/pXzf8TtE1Wz8V7byefU/tSqbWTZyy7tvl4C7d3+7/e3fxV9IdMEjFeYfHS3lGg2N7DGw
mtrtWFxGBmIbW+bd252/8C21+dcb5dDHZTKpKTXs7S/z09PuOXFQ56R6FpOnx6XpVnZxMTHbwrEp
brhV2itAVWtLiO5toponWSNlyrq2VI9as4r7yhGMaUFDax1C0UUV0gFFFFABRRRQAUUUUAFFFFAB
RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF
FFACY96r3dvHcW0sUqLJG6EMjLlSMdKs01/umsprmi4sDzD4F3Mg8O39lPIyzWt2VMEh5iBVflx/
Dzu/4Fur07HevEvAPiWHRviPr1jONi6heyIsmQEVhI+0f8C3fmR/er20GvjOEcVDEZZGjGXNKlKU
H8np+Fjmw8lKHL2HUtFFfcHSMNcp8TtP/tHwPq0Zby9sPnbsbvufPj/x2urqnqVnBqGn3FtOokim
jaN1zjKkYavOzDD/AFrB1qH88WvvRMo8ysYHwx1Aal4G0iQJ5e2Hydud33Dsz/47+tdZ2ryv4K60
sWkyaRd3Ecd3DcOkVrIyrKF2hm+Xr97zK9T9a8rhzFxxmV0J395JRfqlqRRlzQQ6lpKWvpjUKKKK
ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
KKKKACiiigAooooAKKKKACkYblI9RilpKTV1YD5/tfANvZfEqLRtZnk1MXULTpIrMm84b7/zbu0n
Q/3f9qvdbWMW8Mca7iI1wN5LH/vo9a81+JZ/sXxn4V1iI/Zv3vkT3Lf6tY9y/KxPC/K0n+Vr1JCG
VTmvz7hnBYfLsRjcLRhyyjP8JJNa7u2py0acacpKJJRRRX6EdQz71YPivw7/AMJNo09n9omtS68S
QuVIOO47j/ZNb/FFc2IoU8TSlRqq8ZCa5lZnz/8ACPRJLH4hSQX1uYLyzt5GCt/Cchd2f4vlY/8A
fVe+heleW6mo0f42abOv+jQahbbJZHwFlbDDaCT1ysXT/Z/vV6kD8wHXAr4bg/CU8tw9fAQ/5d1J
L12af3WOTDR9nGUV3JKWkpa/QjsCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopKAPNvjlp7Xfg9LhHVBaX
KSOG/iU5Tj33Otdto9/Hqmk2V5EDsuIVlUN1wRmud+LTRL4B1TzgWG2MDa207vMXb/49isv4Q+LI
tc0JNOlKJeWCrGED5MkYCgP/AEP/ANevgY4yhg+JqmGlK0qtKL+acv0ObmSr8vdHpNLRRX3x0hRR
SUAeV/Gj/iXN4c1ofP8AYr0DyuBvz833u33P1r1CP5lX3ArhPi9HBN4HukkMPm7o2i85lX5lbc23
d/Ft3e9W/hx4ptvEWhwwR3H2m8tLeJbokNuD49T15Vq+Fw1elheIMRh5S/ixhJequn+CT9DmjJRr
OPc7Wikpa+6OkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDm/F3hWz8W2cFvelxFBMJwqNt3lQw2t6r
81cJ8DtNtBZ3slxbwjVLW7ZSZI186IeWq49V/i/WvWyuVIPPFeWeAFXR/iT4s0yYZmnYXKMg+Xbu
Zvz/AHq/rXwOa4WjRzrBY101eTcG/ldfloc8oxjVjI9WpaSlr746AooooA8++KPgVPFemvPbxqdU
t1/cvnbvXPzIx/l6N+NZHwEtkXw7fzhVMhuihbb8xVUXA/U/nXqcg+Ru/FeXfB9vsureLNNjOy1t
rz91F6fM69evRF/KvzvG5fh8LxJhMdCOtRTi/VK6f3XX3HJKnFVozPVaWiiv0Q6wooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKSgBnGRXltw39i/HKAxc/2nafvd5+7hW+7/36X/x6vU/SvGvjdfHS9c0K6spR
BqUSSMZE2+YF427v9n/Wf7P3q+G4urRweBp46f8Ay6nCX42dvk2c2Ikow5ux7NxS8VyPgTxhbeMd
HimR1F1EqrPGoxsfHp6eldZ2r6zB4uljqEcRQd4yN4yUo8yH0UUV2lEf8QryyxJ0z45X3nfuxfWg
8jvvAVPy+4/3v7tept90kV4/481q00D4maLq7XCS+UhguIUPzQqA3ztj5vuy7tu3+GviOKKlPD0c
PiakuVQqwfy2f4M5q3uqMvM9jpapWF5DqVlBdQsJIp41ljbGNysNy1cFfZwlGceaJ0i0UUVoAUUU
UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
AUUUUAFFFFABRRRQAUUUlADe3FeV/G/wxBcaONZjRVurZo43di3MWWXaF6fecV6oOMVy3xIsY9Q8
E6tHICAtu0/y9dyfOv6rXzXEWDp43K69Kceb3Xb1toZVo81OUTV0G6gvNEsp7WPybaSBJI027dil
RtGBWnjlq5L4VXrX/gXSpHRUZIzCAvojFB+grr69DLayxGCo1o9Yxf3oqEuaKYtFLRXqlkZwy18+
fFrwKvhnUk1CyhSLTro7SiN9yb5m2qvowz/49935a+gw3Yc1x/xYtJbzwJqccIDMqrIVz/Crqzf+
Ohq+H4uyujmmVVXUWsE5R73XT57HNiKcalNpnU2cEcFrFHEixxqgCqq4UD0q1XM/Du8jvfBejvG/
mbbVIy2P4lG1v1BrpN1fUYGtGvhqVWG0oxf3nRF8yuPooor0BhRRRQAUUUUAFFFFABRSUtABRRRQ
AUUlLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
Jtqvd28dxbSxSxrJG6FWRlypHpVmmSfcJ9qymlKDjIDzH4F3Eg8P31lNIwntbsqbeQjdENq/Lt7c
7v8AgW6vTq+b/DviyfSfiFeXljHPe2t3dSs9rbLuMybmKsF/vL1/Gvoe1mFxEsqltsg3DcrKf++T
0r4DgvM6WMwDw0H71J8vqujXyOTC1Iyhy/ylyiiiv0Q6xvvWZr2mDVtGvbLf5f2iB4vMAzjcpGa0
6palfQabZST3MyQQoPmklfao/E1yYiNOVCcavw21FLY4f4J6l9s8FrAU2CzneHcT97J37v8Ax/8A
SvRBwPSvC/hr44sfD+uX+lok0lle3qrZrHH8qZbbli3zfd2f9817kjFlya+S4Rx9HGZXShCfNKmu
V/LRfht5HPh5qVNWJaKKK+4OkKKKKACiikyPWkAtJRTWkVerAfjSclHdgC80VzWoePNB0kTm41W1
3xNteNZVd1bOMbRz1rgF+OkTa4zNa3CaQISFRVVpnk3L8zc/Kv3l6/8A2Py2O4mynLpRp4iuuaX9
a9kZVK1On8Uj2TmkP0rzD/hck998+j+Gb/UbcfKZsbdrf3flVvao/wDhIPiNfZlt9AtYoJPmRJXG
9V7bsuvzfgKxfFGAlrhozq/4ITf6WJ9tD7Op6huC43kLWRp3iXTtU1O/sLadZZrHaJmH3QWLfLn+
98vP1rz6+8BeOtfhki1LX4BGsThI4SVWRmH3X2qvH5/7tc/pHwV1Ua3Fb6pFnT3Ri91ZzKBGewwR
uY/L/d/i+9Xi4viDN/b0o4XL5ckn9rT8r216voZyq1eb3aZ6/N4z0K3meKbV7OOVG2mNp0VgfQ89
ar6X480HWdUfT7PUknuhu+RVb5tv3trdG/4DWVb/AAd8KxxIj6e8pVdpka4k3N78NXM+MNHsfB/i
/wAHyaNbLZvJN5MhReGTdGuDnvtdvm6114rMc8wMI4nE06UafNHms23ZtLTRK+o5Tqw96Vj2Klpq
nKj6U6vv1qrnUFFFFMAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKQ8g
0tFAHkGoWMHg74raPNbQR2Gn6hC0LLHHhXfpt24+XnyvT/0KvW+Dg+orzD43L9htdE1eMbrmyvV2
Kxwhz83zf98CvTYSDEhz2r4rJYxwmOxuCgvdjJTX/b6/zTMKek5ImopKQuo6sB+NfaXS3Nwqvc2s
d1C8MsayRuNrIy5Uj0qpqmvadpCob2+t7QP9zzpVTd+dea+KPjVBDqEVtpLO8S3C+fdKoIKKy7gm
fvbuVz+X94fN5pnuXZXTbxdSPp1+4yqVYU/iMfw94btvDvxi+xNKYII/MltQyHEoMf3Vb/ZDNz/s
V7kOTkdBXyt4t1Q6vr11cHUZdTiJAjuJk2HG37u3A27foN33v4q9O0nxN4yk0q1sdF8MNbw2USwl
75/mdVXC7d2z0/8A2a/LeFOIcHgauLwVKjLl53KPJFzbv00utEt72t95wYatFSlCMT1zcc8isW+8
TafY6xZaZJN/pl2WKQr2VVZtzf3V+XH1/GuF/sH4i6lkz6xa2MVyf3iRY8yFT1C/J1H+9/wL+KuU
1T4N+Ire4kmwmrBp8v5U+yaRf7zM/wAob/vrr/FX12Y8R5pTpxngcvnL3tebt6K71Xlp2Z01K1Rf
DA9fu/HGg6f5xm1a0V4SwePzlZxjkjHXPtWPN8Y/CscLuuoPKyruEawSbm9uVpbP4Q+GbQwsdPkn
kj2/PNM7B2X1XO39MVuQ+CtCtpUlh0iyjkVtwkWBAyt69Otet/xkdVX/AHVP/wACn/kafvvI4s/G
yK/JTSNDvtRuR8zQ7duF/vZG72/OuC1T4m65qHiW0umSG1ktJJBBZyBlRWbKfPll+YA43cYz/D81
fRSxKv8ACufpVK+0ez1KIRXtnBdxZ3COaNXXPY4NeTmHD+c4+EYzzC1pX92CS0263/P0M50qstpn
na6L8RtWH+kaxa2EFwfnWIDzIVbqFwnUf73/AAL+KpP+FL/2gf8Aid+Ib7Uyn+q+bbs9fvbvavUA
MUNnsa9iPC+Bn/vTnV/xzk/wvb8DT2MftanE6f8ACXw3p/lONP8AtMirt3XDs4bjGWU/Ln8Kji+E
uhWeqWd7ZC4sZLeTfthnJEn+y27d8vb5cfeau5Ynpmlrv/sHKkoqOGguXVe6v66F+yh/KKsaL0Uf
lS0tFfQKKjsjQKKKKoBmK8U+PWoNNfafYRiYiCJrmYL/AKvax2KW/HcP+Be9e2GuS+JunDVPA+rI
W8spD5wbbuPyHfj/AMdr5DivAzzDJ69CnLl0v68utvnYwr0/aUpRIfhrqOq33hu2OpWjQssaeXcN
KH+0Jt4b724N67uv44HZdR71yXwx1D+0fA+lSBPL2Q+Vt3bvuHZn/wAdrrD836V6WSvmy2hLncrx
Wr32+RpT+CJJRSUte6WFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QByXxG0uTXPBuqW0JYyGMOqqm5mKNu2477tu2vEdS+JWpX3hu20S3C2lqlulvKytl5QBt6/whvT/
AMer6XYfnVe4s4biJ4pIY5EZdrKy5BB6ivgc+4dxGa1vbYTE+xk48ktL8y37q27OarRlUd4y5Tyv
T9a+IPi6zjlsvsGn28i747tSpD/7I+Z//Qf4as/8Kz8Q6x++1nxTPmb5Zra3DKjL90qvzKoyP9n/
AL6r0mxsYNNt0gtYY7eFB8scMe1R+Aq304rehwxSlTisdWnVl1vN2v6Kw/Yr7crnnmnfBHw5aq4u
Bc3xboZ5tu36bNtS3XwZ8M3ELJHbTWrMOJIp3LL9MsRXfbaXbXo/6t5PycjwkPuX57lewpfynkXx
Z0KLQvA+kLYRMo064QJNGvzqu1udw+7uYL8394ivUrO4jubWKWJ1eN03KynKketc38VLVr7wJq0S
OqMqCXLeiMHP6LU3w4vo7/wRpEkecLbiH5v7yHYw/Na83B0oYHPatCkrRnSg/wDwBtfk0RHSq4+R
1VLRRX3B0hRRRQAUUlFAC0UUUAFFFFABRSUUALRRRQAm2q91bx3NtLDIiyRuhVkZcqRjpVmmtzWc
o88XB9QPKvgZI1rZ61pMwKXVpd75UGMDcNuB+KNXqnSvI9DZNB+M2qWmXt7e+i3xxndtlf5ZC35+
b/48K9b6sa+Q4Vbjl/1WT96lKcPuen4WObD/AAcvYkooor7M6QooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKSgDN1qwi1TSbyzmJWO4iaNiDzhlxXn
3wV8SQTeHY9KnngjuoZ5Ehh34eRT8+dvfq35V2virw+PEmiT2P2ie0Mg4lhdlIOD1HcexryD4RaD
La+PZ476HyLqwgbMbvhxIQq7tv8AEu1m+b7vzL/s1+aZ1isVhOIMBKlS92fNCUvWzt8rXXf5M46s
pRrR5T36ikzRmv0s7BaKKaWXuwH40m0twG/pS8fjWTqHibStJlEV3qNrayFdypNMqnb6815jqHx0
ez1y6W2toNQ0lQPJcFoZC2Bu3bvfd/DXzOacRZblEYvF1kru3d/ctTGpWp0/iZ7LTWryuD4xXmoL
HJpvhe9vo8YlkDHEb91G1Wz29PpT/t3xK1U+ULCx0oP0udyts/8AHmz6fdrk/wBaMFW/3SM6v+CE
vzaS/EXtoS+HU9Q8wDkkAVzUfj/w79purY6rbw3Fu/lyrOfKw3T+LGen8NcmPh94v1ZfN1PxZJaT
j5QlmGKbf+A+Xlvwrmrj4L6pceJpbdromzaJZW1CVdxaRuvy/wATblJ+98q7ea8fMM9zyPs5YLAP
llK3vNX/AAennfQznVqr4YHp8/xG8N2s0Ub6vbM0jbR5b71H1Zfu/wDAq6fcCoPavIvH3w80Tw54
GvJ7OzP2uHyQJ2dmct5gXn/vo+3/AHyK9E8JXk2qeGdLubgh5praJ3bGMkqCa9rLMwx88bUwWYxj
GXKpx5L7Nta366djSE58/LM3aWkpa+wNwpG+6aWkoA+cfGVrq1x8QvtotWsJbm+EFm0p4Zk2Kr9P
u9G6f99V77o5vG06A6gIhelR5nkEmPd/s5rgvjdYySeHbW+gXbLaXKOZ1O141PGVbqPm2fdrvtNv
IdS0+3uYG8yKZFkRsY3KeRX5tkGBWWZvjqTm25cs/Xmvd28nf8jlpQ9nUkjRooor9JOoKKKKACii
igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiikoAZ+teRXmpQ
eEvjFeXuoSLFb31nuV/7m1Fzu/79N0z95a9dz+Vc/rXg3RvEl3bXN/ZJcTw/cZt2fXa3qP8AZavm
M8wGIx1KlLCNe0pzU1zbaadPJmdSMpL3Tmb744+HrORUhS6vQV3eZFFtUexLlea4HxZ8QPEjaza6
gIr3w/iLy1t5GZo3b5sttYKrfeX+H+7Xuun6PZaVCYbO0htY87jHFGqDPrxRe6PaalJbSTwJK1tL
5sW4fdfDLn8mNeBmOS51mVDkqY3klo/chb8bt+mxhUpVakbcx5bpDfEnXrGOYX0enjkbLmFY3fnO
5l2Nj07dP+BNfX4V67qR36n4svJBNzcQQ7gh3D5lX5tuP+A/hXqAz2Ip30r0KfC+G9nGOLq1Kv8A
inL8ky1RX2nc4Cx+Cnhy1gMcsU9227d5skzKw9vk21Yuvhbod5rdndm0hijtwd1tDGojmOflLD/Z
+b6/hiu5/CivUjw/lMYciw0LadF02K9jT/lILe0itYUiiiSONF2qqrgAelT7aWg178YxguWKNgpa
KKsDG8TWD6n4f1GzjIWS4t5IgzdMspWuT+CuoR3XgmK3TcHtZnicN6k7+PwcV0ni7+120S5GjGMX
uPl80ZBGD09D9eK8Z+CrXU3i2OCO7uIbSGOSeS2Uny5GwI/mX/gSt+Ffmub5j9Q4iwSjTlL2kXDy
1a/K2vyOSc+WtFH0NS0UV+lHWFJS0UAcl8R9NS/8FatHJnCW5m+XruT51/VRUfwrvW1DwLpUjoqM
kZhwv91GKD9FrpryCO5tpoZEWSN0IZWXKkY6V5j8D9UX+zL3SZLgSXdvOzLFvzhPlyV7Fd2fu+vv
XxWKlHCcQYecv+XsJx+aaa/NmEny1o+Z6zRSUtfam4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU
UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACUUtFABSUtFACUtFFABRRRQAUUUUAFJS0UAR
15VpkKaP8cL9XVYEvrXNuqL/AKw4VmY46co/3q9UY9a8v8c40f4peFdS5k+0A2vl4xt527s/9tf/
AB2vjOJV7Olh8V/z7qwfyb5X+Zz1tovzPVaKQfdFLX2R0BSUtJTAztYkuo9JvGtI1mvBEzQxscKz
7flH514P4B8M6tp3j59PjvV03ULWASyEJ5yspCfIwDDP3/8Ax35fWvoUDpXl1sBpHxzn835v7StP
3Wwfdwq9f+/Tf+O1+ccUZfSr4rAYqpJ+7VS3t8Xpre6XU5K1OMpQl2PVRS0UV+jnWFFFFABRRRQA
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABRRRQAzHFeXfG5fsNroerx/NdWd6NiscIc/N83/fC16lXlvxr0W+1LQ1vIZi1v
atulsxHnPYSBtu7jd838O36fN8fxXGbyau6UeaSV/wDwF3v8tzDEfwpHp0bCRFIORinj2ryn4C6Z
9n0nUL4pIrTz+WMn5WVF+8v/AAJmX/gNerda9HJMfLNMvpYycOTnV7Xv/kaUp+0gpD6KKSvfLA15
V4yUaT8WfDOoy4MU6G1VUHzbvmXJ9v3q/rXqTV5N8ZbyPT9X8L30p2/Z7hpDEB+8ZQyM23t/D3P8
VfF8VyjSy5YiX2Jwl900YV3yw5j1wHgUtUdOvIdSsbe5hcSxTRrIjYxlSMrV0V9fTnGpBTj1NxaK
KK1AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
igAooooAKKKKACiiigAooooAKKKKAENUtRs4dRsbi2mUSRTRtG65xlSMNV6kKjBrKpCNSDhLqB5b
8ELqSHT9W0m5Li5sbohlZtypn5dqn/eRv++q9PHUmvLfC/8AxK/jF4js4NsdrLCJpI+u5/3bZ/8A
Ij/nXqQ7+1fJ8LXhlyw0v+XUpw/8Bk0vwMKPwcvYkooor7E3Gdq8j+M3hfUdUU6okiNYWNvlYI48
yFy/zt/u7dp/4D+Neu4rP1jTotW0u7spSRHcRNExXrgrivnc9yynm+X1MJU6r8en4mVWn7SDicr8
JtPjtPCFrPbXdxcRTqH8uVsrG38ar8ucbs13P3sV5r8EL6RvDd1ZTttks7p0EDDa8annDL1Hzb/v
V6VuxxWXDk4TynDuCt7q+/r+IUf4cR9FFFfTmoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFIaAPItUZNH
+OFpKJvLXUIMT+Yy4Pysqqvp8yJ+Jr1hcN82cgivnL4q6fq2n+JCNTvJ7+ORfMgkkXaoX7rLhRtB
4Xdt/wBlv4q+gdH0+LS9Js7OIkx28KxqW64VcV+ZcLY2pUzDMMHKnyxjPm139/pbXs3v1OKhJ+0q
RNKiiiv007QpGHyke1LRSeqsB5V8OR/ZvxB8YWE+I7mWYTpHnO5NzNu/8iJ/31Xp+3cQe2K8YvPE
cHhv42ajNcAeTcCO3aTOPKykfLf7Py17SGHHevhuFcTRqUK+DhLWlVmv/Jm0ctGSalFdGPpaKK+6
OoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAKKKKACiiigAooooAKKKKACiikoA4D40WcVz4GupJEDvBJG6Nn7p3qM/kxrovCd5NqnhvSr
uZt881rG8jYxlioJo8WWc2qeG9VtIV3zzWsqRrnGWKkCue+C95FceBbWONt7QSSI64+6d7Nj8iK+
M/3fiLyq0vxg/wAXaXyRz6Kt6o76loor7M6ApD0NLSUAeDeL/BqWPxE0+TVrmS9tNWumPyDDj5tq
x8fw/NGu7+7u+7XtGmabBpOnQ2dsjJDEu1FZ2fC+mWrzz42L/Z9voerxjdc2V6pRWPyH+L5v++BX
p8fKqSc8V+fZFgcPgc1x9GlD3uaMr9bTXffdPQ5KUIxnNRJqKKK/QTrCiiigAooooAKKKKACiiig
AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
iiigAoopKAIp2CxsTwMV5R8G76DS7vW/D0kymWG8byWdwrTdm2r7bN3/AAKu+8V+Hx4k0O4sftM9
qXUlZIXKkHHcZ5H+ya8e+Eehy2PxClgvrcwXlnbyMFb+Fsqu7P8AF8rN/wB9V+Z59jMThs8y72dL
3ZNx5vXdeul13t6nJVk41aaPf6Wkpa/TDrCiiigDh/i1pp1DwLqYSNZZIgsy7gPl2sCzD325rS8B
6gNU8IaTcec1w7WyrJI2cs6ja3X/AGgan8WeR/wjGqm48z7MbaTzPK+/t2ndtz3riPgf4kS80WTS
JNqy2bMyL/fRmzu/Bt35rXwtbEU8HxJTjKX8anb5wd1+Df3HLKUY1/8AEj1Wloor7o6gooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKAIyMmvK7z/iV/HCxMB8sX9oftHffhX/AO+fuR9P7teqc8V5d8YF+y6t
4T1OQbLS1vP3snp8yN069Eb8q+M4nXJhKeK/59ThP/yZJ+mjd/Ixrbc3Y9UpabG2UU+1Or7JO6ub
BRRSUwMDxfos3iLw/dafDdfYzOFUzKN2F3fMvUfeGV/GvMPhr4XstP8AHWrWV2kgvbB1ltdsrBtn
zDcxUgNlWT5W/vH/AGq9qC/L6V5dMf7H+OVv5XJ1K0/e7z93Ct93/v0v/j1fnvEGBwyx2CzOpDml
Gahr2ldLTum0/wDhjkrU4ucZnqtLSUtfoR1hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAMIzmvOfjdb
28vg0tLJtkinSSJQ23e33cf7Xylj+Fejc9q4H4n+B08Xac09tGp1W3X9y5O3eueUY/y/2vxr5fiW
jXr5TiKWHp88nF6f117eZjXi5UpKJqeBvGVn4s01DFMr3sEUbXMSoyhHYdPm91auq4xxXl/wJtYY
/DN3MDG873LK+1eV2hdqt7/xf8Cr1BewquHMVXxuVUMRibc0o9P6+/zHRlKVOMpD6KKK+mNRh6gV
5Z8WVOl694Y1kfuIobny7i5j+9t3K23j5mG0Sfr/AHq9TY15J8ftQEem6VZhf9ZM02/PA2Dbj/x/
/wAdr4ri6rCjk9WtP7PLJeqkrfic2IfJSlI9aU/Kv0pxNYPhPxJb+KNFgu7cr8yjeqtu8t8fMp9x
W72xX1OFxFPE0I1qUrxktDeMlKPNEfRRRXYUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR
RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTZBmNh7GnUlKSu
mgPLPgr/AMS//hI9F++bK9P73gb93y/d/h+5+teo7eTXleit/ZXxq1m3wbWG7tg6x52rM2EO4Duf
9Z/49/tV6oDnNfH8LvkwDw3/AD6nOH3SdvwsYUfg5ew+iiivsTcbXnvxA8A2uvR32rPHNc3sNi8U
MIPyll3MrbV5Lbj/APWr0L+dNkGY3HtXlZjgaGZYaeHrx5okTgqi5ZHn3wZtrX/hC4JYUg89mdJp
I1UMSsjbQ2O+D/49XoVeXfBFvsNrrmkSHNxZXrb2UYQ5+X5f+/Zr1L+KvI4WmpZPh0o8vKuX5rR/
ijOh/CiOooor6w3CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApKWkoA8N8WeMtLtfibputQ3K3ttawGKVbX5
mB2v/F91vvr0b+Fq9h0vUI9V021voVIS5iWVVbrhhmvGfjZ4Ri0u6j1m2KwxXT+VPCqcF/mbf/wL
Hzf/AF69xhQCFFHTFfmfDcsfTzXMcPieVR5lJW/vdfuW3c5KLn7SopE1LRRX6YdYUh6GlooA8o8I
Y0j4t+JdNhIMFwguWLn5t2Fb8syn9K9SXoM9q8F8UeLv7D+Lkuow7TDbtHBMIMfvV2/vC3zfMy5x
/wAAX+7Xt2l6pb6xYw3dpKs9tMu5JF6MK/POFMfh6ksXgKcvepVZ6eTfTyuclCpF80OzNGikpa/Q
zrCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooA4T4wWn2zwLflYfNkhaOVcJuK4kXc3/fO78M1r+B7z+0
PCek3DTfaHe2TfJv3bm2jdlvXOas+J9PbVfD+pWaEK9xbvEGboCVxXMfBXUI7vwPDAm4PaTSQuG9
Sd/H/AXFfGy/ccRRf/P2l+MH/lIw2rfI9Cooor7I3CkPSlpKAPGfiVoNl4b13QtXht0t7c6j513O
OWLMyt/vdn+Vf617FEP3a4HavPPjZp32zwWZ92wWk6S7QPvZ+Tb/AOP/AKV2fh7Uv7W0OxvChj+0
QJLsJzjcucV8RltGng85xeHhHlUowmvxT/L8znh7tSSNWiiivtzoCiiigAooooAKKKKACiiigAoo
ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii
gAoopKAMHxNrdr4b0ma/uzIIEGMRozcnp0+76c8V5b8GPEz2mpPoNvaPcW9xM85u2bb5a+Wu3KZb
0X+L+KvZbm2ju7WSCVFdJF2srDII9K8h+Hugx+GvixqmmxyNMlvaMVLD5gCYm/8AZq/M+IIY6nnO
X4ijLlp83Jtrrq180u2ljkq8/tYM9ppaKK/TDrCkpaSgDmPiJZx3fgvWEkTzAts7hc/xKNy/qBVT
4UXkt74D0uSY7mVWjVsfwq7Kv/jqrXRaleQ2Gn3NzcHZDDG0kjYzhRy1eCfCXxVdaHrxtliurqwu
ADPDbxmTy24/e7QPfDf+zbVr86zbMqOU5/hatX/l7CUPTVNN+W/pqck6kadWLf2j6MopByBS1+in
WFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQBGVzXlmtL/ZXxq0a4ybaG7tijyfdWZsONpPc/6v8A8d/2
a9U3fMBXl3xq/wCJf/wjmtD5zZXo/dcDfu+b73b7n618dxQuTArE/wDPqcJ/dJX/AAuYVvg5ux6n
S02M5jU+1Or7CL5kmbhSUtJTAq3FvHdQvDLGskTrtZGGQw9K8y8IwxaL8Xte0yzjW3sJIFl8lV+X
dhDx/d++3y/7Vepbvlya8v8AGGNJ+LfhrUpgDDOhtlCD5t3zLk+371f1r4niKMaf1bG2/h1Ya+Uv
devbX5nPW93ll5nqtLSA5pa+1OgKKKKYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRSUANrzD42avY2vh46fcIz
3kzCS3/dZVcN8zbj8v3fl/vfN/tV6dzkD2rnfGHhq38VaHPY3H7ot8yTAZKMvRh/npmvnM+w1fG5
ZXw+GtzSi1r/AF+PQyqxlKnJRML4V+LrnxRpLwz20ifYY4ovtUj7zO23lun3uFbv96vQPwrzD4Em
I+FbgorLILt/M3Nuy2BjHp8u2vT65uF61avk1CpiJ80mt/67bE0JSlSjKQ+iiivrDcb2ry/44W7w
6TpWqW8bfbLK7BSZRnyg38R/h+8E+9XqHavLfjtfOuj2GnwLM0lxK0zLGPlZIxlt35hv+A18dxbK
MMlxMpdFp63VvxsYYj+Ez0i0uo7m3jmikWSN1BDKcgjHWrXBrzT4Nanqdx4eSC7tHFlGD9nvfNUh
1DY2ld2RjtjjaPpn0r/CvWyfHLMcDRxSjbmin/X+fU0pz9pHmH0UUV7ZYUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
AUUUUAFNkGY2HtTqSk1dNAeWfBr/AEG88S6NHg29le/IzH5z1X5v++BXqPevKdJl/sf41atbEm3g
voFMcYBVZX2q276/LLz/AL1erV8dws+TBSw3/Pqc4fdJ2/CxhR+Dl7D6KKK+yNxDVHUrOHUbG4t5
0EsU0bRup4ypGGq/TWX5W+lYVacalNwl1A81+BV7LdeE54pSCtvdOkYx0XCt/wChM1el15X8Lf8A
RfGnjK3l/dSvceYschwzLvk+YD0+Zf8AvoV6lmvmOFpN5VSpy+xzQ/8AAJOP6GFD+Gh9FFFfXG4U
UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR
RQAUUUUAFFFFABRRRQAUUUUAFJS0UAeBfFTxC9n46s7i3tJrO9sB/rZThZ13ZUja33Ov+9kq2Nte
s+C9RvdY8M2N7qMaR3U6eYVi+7gn5f4j/DtrkPjtpP2zw/bX0cSs9rN80mcFEb5T/wCPbPyrvPD/
ANk/sSx/s/8A48vJTyOv3Nvy9eelfmmTYXE4XiLGxqVfdklKMdt+tvK1r/qcVKMo15GvRRRX6Wdo
UUUh6GgDymxb+zPjlf8An/uxfWgEHffhU/75+4/3v7teot83uOhr538ZWuq3HxGN4ts1hNcXwgs3
lPDMmxVk5H3ejdP++q970o3rafCdQEIvNg837OSY93+znmvzbhXHSrV8bhHTcVGrJp/4nf8A4K8m
cmHqczkvM0qWkpa/STrCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo
oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApKWigDjvipaNfeBNWiR1VljEpLf3UYO
f0WpvhvfR3/gnR5IsgLAIfm/vJ8jfqta+uWEep6Te2khPlzxNGxXrtZcGuK+Bt8934NeFkVFtLp4
kK/xLgPk++52r42r+54ipz/5+Umv/AWn+rMNq3yPSaKSlr7I3CkpaKAPMPjdYyN4dtb6BdstndI5
nU7XjU8ZVuo+bZ92u/0y9h1LT7e6hYSRTRrIjYxuU8isrx9po1Twhqtv5LXEjWztHGucs6jcv3fc
Csr4S6k2oeB9P3yrK8StC23Hy7WIVT77dtfG0V9V4gqQ+zWgpf8Ab0Hb8mjD4avqdzS0lLX2RuFF
FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAFFFFABSUtFAGZq09xDplxLaWwurlUykLSbN59N1eC+Adc1uPxgmnWco09L
y8LXNp5eETbuaRVVlO3hWX/vmvods7hgcYxXk0dnDoPxuQLbpN/aNu0ifJt8ltrZb3J2N6ffbrX5
pxXgq9TF4DFU6rjGM1GVvP0112+ZyVoy5oSUj14dBS0lLX6UdYUUUUwIpvuNj0NeXfAtjFompWsn
yTx3jeZC3yunyqvzL/D90/lXomsXElnpN5PFC1zLHCzrCn3nYD7v414H8MLDW7Pxc/2GOGG5hjP2
iC+Zo2dCVyuNu7+6d23+7/ewfzbP8dLB53l8o05Svzx087f5X9EclWpy1YI+jaWkHSlr9JOsKKKK
ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA
KKKKACiiigAooooAKKKKACiiigBh9a8u+Kx+weKvCOpp+4RLny5roYXC7l+Vm/u7fM/WvUq82+Od
k134QjnV1QWtykjhv4lIKYHvlxXyXFFNyyqrUjvDln/4A1L9DCt/DZ6Shyo+lFUNI1GPVNJs7yIE
R3ESyqG67WXcKv8AHNfTUqiq041I7M6AzigHrVae6itYpJJZUjiRdzMzYAX1rzjx38Vk0GbTl0ea
x1ONy32kLLuZVXbjkN8ucn71eTmOcYPKqEsRi58sY/fvbYyqVI0480j07I6dq8thX+x/jlP5mD/a
dp+62D7uFX73/fpv/HagsfjoL2FootDuJtSP+rtoX3rIPXdt3f3v4f4aqW8PiPxZ420jXI9EfQ47
VxFLJcPyUz8wwf8AZZlG1erfe/u/F5hnmCzb6q8ucqso1YS0jLbZ9LLR9WjnlUhU5eQ9npaQdKWv
1E7AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKAErz341Wsk3giWRJ2hSCZJJFUf60Z27T7bmDf8AAa9A
/iqnqFjDqllNaTr5kUyNG65xlTw1eRmmD/tHA1cHf44tGc4+0g4ni3gfxF48m01F0yyXULKJFiia
5jVFVV+X5W3Lnp/tdK6JvCPj/V1MOo+JUtocAq1oMPu9DtVPl/GvS7e2jtY0hijWOJF2qirgAelT
bRnpXyuB4U9jho0cZi6tTl/vuK/DW3q2Yxo+7yykzzG3+CNlNMlzqup3upXYbMrl9ok9u7Y2/L96
tDUPg74eurGS2tIfsbs6MZVdnfhuQNx43LuXPv7V6AM0tevT4YyiFOUXh0+b+b3n971/Ev2NL+Uy
9F0Kx0O2FvY28dvGv8MaYz0GT6n5eprU28elJ16UpIxX0NGjSoR9nSjyxRvsOooorpAKKKKACiii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooASilooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//Z</Data>
</Thumbnail>
</Binary>
<mdFileID>18CE5C81-EC31-4708-930E-1560529CD761</mdFileID>
</metadata>
