<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="ru">
<Esri>
<CreaDate>20220208</CreaDate>
<CreaTime>10501800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Sector_115_ortho.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://G:\ORTHO 2021\Ortho_mosaic_done\Sector_115_ortho.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">668324.396102</westBL>
<eastBL Sync="TRUE">669497.939102</eastBL>
<southBL Sync="TRUE">5666831.404265</southBL>
<northBL Sync="TRUE">5667862.882265</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</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_UTM_Zone_42N</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/10.4'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_UTM_Zone_42N&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;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,69.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,32642]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&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;32642&lt;/WKID&gt;&lt;LatestWKID&gt;32642&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">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">256</NoDataValue>
</General>
</RasterProperties>
</DataProperties>
<SyncDate>20220209</SyncDate>
<SyncTime>15043700</SyncTime>
<ModDate>20220209</ModDate>
<ModTime>15043700</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="rus"/>
<countryCode Sync="TRUE" value="RUS"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Sector115_ortho</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">71.405606</westBL>
<eastBL Sync="TRUE">71.422847</eastBL>
<northBL Sync="TRUE">51.137451</northBL>
<southBL Sync="TRUE">51.127838</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>ortho</keyword>
</searchKeys>
<idPurp>Sector115_ortho</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="rus"/>
<countryCode Sync="TRUE" value="RUS"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Набор растровых данных</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="32642"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">2.1(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">668324.396102 5666831.404265</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">668324.396102 5667862.882265</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">669497.939102 5667862.882265</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">669497.939102 5666831.404265</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">668911.167602 5667347.143265</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">28623</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">0.041000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">25158</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">0.041000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_2</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_3</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20220209</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD217u1
nDQ/atjnIxkBh/Wmi3mCjyb445++oP8AQf5NSsqsMMoI9xUS2lurh1hRWH90Y/lUgPC6gD/rYJBj
j5SDn8zUsXmlD58aI2eNvII+uBQ2BxxnvSBiOhI+hoAeVQjhgD+NN8s9sH6Gl8xvXP15pN/qqn8K
ADY/90/lTcEU/cv93H0NPUgjh2B9CaAIQM9KkChTg4LHt6U/cV4L4z6rWP4k1QaN4dvtQQkSRR4j
KLnDsQqkg8YDEE+1AGrJhssB0ODj9KjI3KV6HqD6GvKLP4j63b2G+RLe5dWAZ5QATndwFTB7DnGB
3IyKvr8T7mNmV9IS45GHinEYGQOPmyOueSw4xkDmnysEz0SSBnwwADHrz096kChFCr0H6n1rlbT4
i+HrhZPMnmtsAY86I/MPbbn07461tWeuaTqMois9StJ5SCRHHMpbA6/LnNKw7mhRRRSEKcupGQG7
E1XXET/vAd38qnpxCsAHXcPWmBXkbftRT1qXhF9gKX7OgYFDj39qY6ztu3AYPcdKQBbqRGWXncQO
eOKnGQSx7D9abGm2JVPYZNK33VHc8/4UwIPtMZkkgPLAAsT057f59qYJmmldd5KA4XBBHHU5+vH4
U29UQrLKoHTkDgs2MD8TwKS0URBY1JIA5LHk+p/OgCZxgYAHzHkGoEbdcu+W2KdgXGRx1P55/Klu
JvLikkClto+QY5LHp+tOggWOBQHYgDksevqfxpAFzKFi3Kct0Udtx4H64p6sQPnZm/h5HJ96rMoe
5jXAIQFyMnnPA/8AZvyqwyqkY7HtnmgB0ciJKNzYeQkIM5zgZpxjc/f+7jkD/GorVN1xK4Cnyx5a
9+eC39B+FStNIrFQnA9DzQAisNry7cMoxzTA4WLA6j196f8AaEYFXXr1yKFWM42PtGckdc0AV9hN
1hlZUROPQk9f6D8TU+fMKKAeeeKjmuLdbh1mcL0ClsgYx69KmiXBZ+OOhFMAO15SwOQvyjio/MCu
zOcAeo6U4PhWxyR+tE0azWriQEKRyP6UAR2DFyCQMNmRvbP+HA/CpHn2sRg/nUf2cyW6/NtBkDMP
7wHQfn/KonO5iaALtKnLigjHPUetAOM/SgBDyc0UZxSbh65+lIBaKbknov506gAooooAcrYGDyvp
XHfEbURZeHvso2tJcSY8oKWkkReT5YBGW3bOD6ng12HavLfiHc/2n4oj09LlkNvbCNQVUIksvGSx
IP8AzxHHZjyOaa7gVrDw1e69CHXUlj1G3dC9x5aSukcnLJt35AOFfJJyGyueDUL+FrqzCm3u/tV3
fIZFm1JWWTCH944t9g2rll43AgMPSsvUZBr15NLa3szS6lemJf8AQ2XylXCK6sgbdtQ5zgYPU4IJ
0p5dRks73+0J/J1C9gMdr9rcs8DytulgIdgqBo42IHHGOR8gGadhtWF1BJra1s5JdGMs0m3eyRbQ
nGCfkZjgEdBn9Kqa3bWGmTQwzRSubmcxoYnGxcLzlj8uOC2SSTzjIGKffyTf2NcC51lXW9ijf/SN
Rikjf5RwoUlgcFwTuCkYA3ZBp51rUo4JpLiyW6tXZpbOZlVSwP3UO0LlBkEnJYgcEHFUuZINCjNZ
WdtZ74z9oSSTKG3hWQswJAVSDnPPPOCQScY46WLVtUsXW2i1oiRyD/pDl5HzwAA+4AZz069yccZa
alZatJJHdaYLW2MKO63ciTRYZwuGLBVBUZYjJI2jGS2BQS20bUII7SOW9s7bakjCRwu9PM/dhw24
glugz165NNyY2r7Hb2njLUXeNFisb6NGKSSQXAy52jHspycnj6AdTbk8bXaSbBoUuR/03yPzCkVw
nl29jC0smotqP2DzZ5hP+8OAuFG4k/MjLyBkjeTgHGX+H7W81c2kNzY20skTOTC1y/y+X5ak7fKf
lSy4YyEkscEg1S1V2idz0CTx7p8RdXstRXaSp3wquTtDHGW54IORnGal0/xxo1+7CJ7hGAyB5Rck
YyeE3EYAyQcYrhf7Sa+1WBFttZggtlLPcw27zxPvRXAJieRNuwrjhj+8yChGa0Z7OOKJ77fpstql
rlQIfOkcgEiQuSOoONuDnaDu5oaS3A69/G2gKGL3z5AyR5EgP6rWhb6xa6gUksmFxE4HzxMD5eeg
YZyD+FeQXi2xMEUdnNZvPKD5auXGGA24AyBnnIXptY89aui2t7SRTYzW3mumEhuJAkrZyMr0OeuO
xIznuDSwHr0sSzw7ZMkBgRg9xzTBEFBAJGe9eZ21/wCJdOvESG9llDMkkkNzL5+QAC0e7HyFs4BA
OBg4bBNath49vCnm3unwSQZP762kJ3cgbVGCCfvEksv3cUWA7hk/dZZRIQ2RntTQ+UKkBSTgDFc6
nj3SluPs93BeWjqjs3mRhtu1dxB2M2G6AL1J4AyCBuWmr6deOotr2CViSFRXG4ke3X3+nNKzAlEH
lzkjJBILE88gY49B/nvUoO59oHP6VW86NnJkWWE45LKQOPfpViAqwaRXVx1BXmgCKGGWG3EbffIL
E5/iJyf50sFugmM7KPNAI3A9vQ+tTSEKihiADwCT3qNFMCMwG7JAxjtQBKdrDDIDTDBE/AyCaQTx
N1BX6VKhQsCrg45oAqF2RiqsSB60QskTkpDGrN94qoGamuIZHj/dCNHz94puB/IiiO3UhSThhyQO
RSAkKpIPmXAHPBpJI/MjCIwznPPFMkkDAxoSD/OpIUYRjPLf5/xpgJMQsW0HgDFVUKAHd1z6VcZs
kjAI9xVP7LMCdt0cE5H7sUAWctjjikwe7flTqKQCbR6UtFKAT0BNACUClCMxx0z70YCjAJJ96YCU
UUUgFNeRtqJuPE2u6ybeKT7C0ktq0bbllZFMat1GeNv8Q7Y5YV64BucD1NfPjRvb2sVqggnW6vI7
OFEcBrlywfg5VgnEZbdtxlTjOMPZAWLTVZNL0ADSraCxmNrNdPdSXO/Bfag2vzsbDK3GflVcNgYO
VI13beHdPsmuDNOEMiRwQo0LAh9u3gHPmTTKxw3zLgdGBdfatLrFjeWlxLIfPaNBcCRpPMjVmYpl
zuCncpB6jH+1itoyxT6da3VykMEFvI5RihL55KkFOAnmscIFUjaMbicmUugPXY1rHVbbw8tyjyiW
3MKC2lUbjEgG1hKT9zDsqZJO4gEgZFL4T8S3GsapNYpcG4t5yZ5DNAWLqVUEclSqg7ucdXPByHHP
yafFq1jqE8VxdRxW1vIxEkQ+XO5l+ddwGW5IxnCKMnqIdNu7yW2to7a8ujcQx+dsWSNFVVxFkOZB
jgRcEAnjnCjdq32CKXU9IvLDSpdTS1lis42aBt0atslKMcY+Vg2w7cEHhuOTgisDQ/7Mh1XULuzL
zRI7QpwhjClmYeWQzEjkZJxkKOvGHaG5stCuvtF9cT6mjzTypJGnnRoqqsYcDfhlCqDtO1SWUgle
INPuM6TavfJFEACxnijEauxZlwEQcnheCvJIxk1nJJySHEdqqRanmAW8L280iPKHOY9gIBPB5bYX
2nHB78mt/wAOQ3ejwLbW9rcywywtzEyE7ycmRiF3M5OQWyRwM8sCcSa0uJb2CIo86zbt8n2jZsOC
PmI+Y5J7ZIwG7Zp+r2N/pM0sGjzSo0yo8bPfylEiVyzdBvIwBu3HH7zG7CqDa2Eaek3+nvbLLasr
z3BlEmox7GFvHJLLIERgckKcoO3Abb8pWse5v5W1HUIbuH7LZXKbvL4lxIWJyNpwQwdMrnIx93LZ
qe/kisdPv7y+s4r+7t7GKI6qrAtvYAHB+/G580thWIClT8ucVTvI7RY5JYpn8wKJEinZ3kVtgw2H
yVYq2CDyOSQM5KkCMy5mMc/mJdwxo4fNpyUyCM4H94AysB0+Y8kggWLKHUWF4BDJLbJEI0t/MTLH
Ch2CNwOQ/DEg47ZNZcYEojjntFdI5Hdih2Dgn7zE/KRFzngcnpkk6csbQaH5epwzXFwbfz5bWCIS
yD5wckBTggyKp5xg5z3MPV6Ai69omnJFFLc2sZgSQW6Wq+W+4DJIQOFccZIOAflzWPr+siymNpdX
0VxMXhIgvYkeGNpDKBvCsnygBDk7tvBwTyLsKwWuqiKT5GsUiZfLnlmLebvjXAJYMGIQjvk9QMA0
dI1GFfEmr36TXF/Lcq7xQW9kxZLeM/J82ASxClcEHpyQ2M7K3s23vf8AIwmpKsknpa7+ZUsdeiaQ
yzlZnaS3CeTKzK0J3AsvnHKsCpXkgEYJXoa0prmzImnW4tLq3BRVcQyW4Qtu+Xc6spBA4bco9Tg5
rL0r7Xqt9f3Gp29q+oWdhE0ljeOiSOxUFgWJB5TJAwQu7btIBFbMGgaLcwW72dn5bsknmizK7mcN
vbyzGRKy8BcOMAOCvljkwrbNmuxtHU9Y0O2nZrvVlVYkb96jXJAwOc4k6DIYZHIzyOTpWXxBmV5x
LaW1zGrhWazfByCQ3cg8dMkZ2nmuVu7W98Lwrp2nXUwea7ma4mkVdjJ8iqC+FJxkhmBDbs8g8Lyd
5d+IrTxDb6tcrb3a3rrcLDtEgCod6iNpVJRSHyu3oWxgEYpqLKbPdIvF+hXkJ+0SeUoYArPHxyQA
SRlQOR1PHfFbtrPbzWsbWrxywYIVkYMpwccEfTFeOLYz6/YjW7J0unmMYMCJc2xSUsnzLl2Qqqsx
JCsCV6Nk4dNY6jaXovGk1K0MXH/Ho0zLkEuqSwEbRgH7y5HUDacGOZDsezFY36rTDbIeVYj615HZ
65r0eoSm11JrqIMiyNb3a3XkqTg70fGDxn5QSQD9D1nhjxXfalqMNleqmHVlyIHjkBAyHYNj5WAb
BA6qRxinoxHXCKdPuNu+hqTdKYG3cOeKfsJ6Yb6GoriBZ1USeYpXOCrlSM/SgBkSfxMPmqeSVIVT
dn5mCgD1/wA/yqF7lY3KvBLtAyHRcg/lzQJra6mVBJG0qfMBnleoJx1HXFADt480Jjk8U44zUV5b
mS2ba6rjDM+cYAPPPbimCWTHGGHrmgCwdozl/wAhRuAHClvrShDjpgUuB/e/IUANDMOgC/SnDLrg
nLD9aNqkE7j+Io2+jCgBANi4zkmkp2xvTP05ptABSjrSUo70gMPxfdfY/CGqzBA5Nu0QUtj7/wAn
XB6bs9P8a8kW++xX1nbCZjBawSahf2wkDw+YuViLEHG7Kw/IwO3KnqTXe/E2UPpun2Qt5ZZHuDcb
lHyoiLtbJ7Z81QOCPxxXAyJLJceJVs/7UitFnh04RRRCRJmDMgV3JBAwqqecjzAORgFy2BEsDrqZ
0q3m+wC5ndnt5dnlNGsrRRMVjQoCVYdXBzsOOFzVDUr63ubq7BV7VWbzXiBSZQSSdqhlUAZzyD2G
RzmrOiESamLe7k06dbG0jieNwbZoklAicbyo3Z3hiSTuyCmeQdGTwvDqMtyIoLm1hMiFWjxKHhbL
YUkAABSDnL4AOcnGZ16DMh9VuNCilsbS1mjuzFC3nCVMJJjczYUYGQQMBvlYdT92rthApGoWGjt5
0cirK0z2yxtHtBJGQzEj/VhcnAYngdTlanplzDrGoSzQSLDG28yDBQKxHJP0YDj+JivUYq7azLFp
140iPK8kEocQoTy7YUnngcr19+mcVttEnqalrc3f2A6dqU09urL5MUUjvAnlY24YN8p5BGem0YI4
4umC5eO3mubQ5mnHmmeVpCXRRtZggAYhVQ/N8ocKfmOM4Wj3Gpf2haQxXtwCpERj3GUJGFPIQgqC
Bnkg4A6jAA2J5ZIbG6urV/NlBZgGQtvAYnaCctyCwGCV6EAgAVjF3LsWtKB/t2S6aOY4jwEljAhc
tuVVLKpJ6ck5wGGeAAEldNe1yWENeCF5ltA6xASg4ciVWOFTChmPBYjYcDCFmbb2G2a0thI+ortC
tKCRKhRQQdvIG3e3Q53dhzVPV9bazgWabS7qMWpimiu7eaSGOR2jKnE23LHY2cJkkHptDYu7Jsjo
fE6+dNb6ctg9tJc+ZKJFYJJx+7cgoxycTAjdwOvXleQu7qaS6ums7n7b54iNgwg+zyEqgDF8RrlW
+UZOCcYwQprZ0qfRtWtrXWoLeGW5lWRJfMV2KAiXK75QpKZ8zdtUks2TxkVi6heXNqUllSS9vBG0
ihEOJTtyHwvQ7t3YjCqDnnIPoR6RG2o30onZrgXUxV3KlP4ChG2Ir5eYkbGMYb2O2tISNPpcEtra
useoTFIR9tKiOOMjbvDHhm2Ou1eNvJJCjOboMP2fTLp4YT5C2gSSOZyg52qpIJB2jEgLMR0ABB3Y
1pA1qbaytrWCJLeKN5RcZ8tJHYghXYnJ+d+MN95eR3yvbUqCvJIg0yYXJub60MsS2ClpIZo0AnZU
DjLj5sLk8gry3GecxrNHpN3a2tulxOdOMqqXYDz5GDtzk4RRlhkAnBA7Ak0O8hlhk1CaXyCty1tH
GFZQV8wnJDMcgqY2JwMduDVeG/in055LYKt9dzKMgZim3sBwxYgMAXI5Gfl4HQOTeiFNJycjPs9L
fVUu2vdQupormXzk+z3TbjKihFhy6gMQ0207snMeBgMa6DVFuNKnX+zIDnSIgqsm53adhhpNwK7i
ULghVzkLuG0rtq6nDBrumf2fHr0GmXdlciSWOe5EDtI83A+RQGbCIQQFwcY2gmkv/B2sW19OZNbk
a2huWE00+2eRo2KCErwS7lAQ24hSG245IbWUeZIyt0Ok1d5pI7ZLi6W4FsyAlSxheUQhZA7FiQow
SSRg7xkE5ziy+HoLDV997PPf6gjBgHP+rRUiGflPyuyeUh3KGOxj0IZX6HLquq2kUP8AZUrXgkUS
mNyqJshUAybwWBIlQbVAY454Qqbd3a2l2bifylngimV4biGCV0njukUzBtm0MSFBDEYXCHI/hPss
vrYLQW9nFHaw3ADQzMoSQiNT5WYxtQejqMbiPuNnbg0n229sdUgWyZcyyA7POIGAQXOMe+Bkd+Oe
RDbWej6xqq6k+mySXlqkaeXcsvmMwG53ZEwpyJF5AOTkYXAzBbxvp+pebfabq1vp8MgigMUovPOB
Eh8wqA0qdsEcdMheh53Fy2NoyS3Rp3Fw/wBsW71CGG5jaMurzWMbq8jMu0Dq2QqgDHzNtGAxwB0H
g5VuL6+uJt/2iCQxyIzKyxsVUjZjplMZHHzbsDByeRTVI5LaxTUdSsbs+X5k87RGOVVdFaNtihiS
VlGfujaCfmwcdx4KiK+HkuBZG2luJndw6KrsASF3Y9AAB7AVUE1uTKUWtDqdo7MPxpfnAwCcexqE
yEMcqcAdafEwYFh2FaGZXFtJHnyrmQeiyAOB/X9algEoJ89kyPusgIz+B6du9SCQkZByPfml3Duo
/CgBdpIwGU1GlssQISHaCckKvGakIUHGSP1pMf7Y/OgBRgHJbP05pMr/AHfzNNooAduGMbRj8aMr
6EfjTaKAHYHZvzFOO/gDnA+tMUZYCg/MxNACkj+JcfTijC46kfUUbiBgE0hOT0/KgDyP4h6s7eNY
rc+YbbT7fso4lkGSwPU/L5fB44PqTWPbf2aJz/o8AkW7WWCJCfN8wklZDyQSOMZyMnpzWzqF9DLr
Wo3twkkqTOSqOApmQAiJkVgpxtKjAySQpyQSK5a5ubOGOKK4s7qKeSNSRvChsj5jyvIGGAwDnrxj
BJOK+INjo7maDULC/gSVrbz1h3RrIHt1jVG8uIf88snLHByMdM5FWvDGlLHeTSnybgOContpslOR
nKkDhgev+wa5SI2d1aW2LtUWSNZYlljJSLLNuUlMsTkZHAByTlc89h4W065tJL67u5pJIpUh8iaX
cA8QUkEb8EDnHIAwowTnNEeWTumF0b0kEbSNtBAHQAAbeOnv1qjr1xcWugmXzZwEKBBDM6SBcjIR
ucEAZxtIO3BGDxoRNFchJY3SWNz8rowZWI9D07H8qw/Ed1EmoWkciiW3iiaV4c7f3u5fLOcHPCyr
jpz2IBFvbQSKtr4gtR5clzFNi2ULmRBO2CRyZMbzyxyoHIbggcU69DyyCC8hEgkPluoG9eULfNu5
AIOMkAEtjnmqOmalp9gt3Gj3kLTNMwV8HaCXKKpYnBAK4ySMgdqkvlt31KLV1lJMM8saose2P5mV
G52kdVDblODknO01CT6lGfeeKNN0uNBs1G1huZGWSWG3xGEWZhK6MFOSMBiQcksmNpLMMRdZ0PXY
dRs47+SLV5rmKGwu1hdUaMyKp2gEMPleXh/XOVJCr3t1baPcWM2n6laG9s0e1UhITCoUoWjKL8i5
KlULIVbJG4BcIvDan8PtNkhvLzQrW72SefAbS6njyrFGaOSHDAhAyovzFiQ5zx8xtWtcl3vYj8Qa
u+ggJpt/Pc28iSzxTGbzEOSiDLHIJBbkfdB+bAJCrLai8vbGe5W4kRkiYS4dEdJJd27K8sNpkJ47
gDIHFSaDok9pb6c8iPJqyT7JPMg3LFEhMxAY9Dvyd2eQBtBALFNRjjNyriFlWe+WDzEUu0Cq5EiE
Hgc7Qf6kAUpbaAXfsL3OnTWFhdq+oStDbmKWR2OFieX5z/veaSB842nPIAGr4mvmtdP1iZbiWNre
NPKaOLzWWU7dx2scAAFeehBIO0qGqfw7DdfYXM8P2SaC7e8dphHJujJP3zgbH2nbwVYAAsCp2tQ8
QWE93P4etrySIl4xqGqzROBaqnmF0OY8KAQkoDEHtuLHDLmo3LjLl1RBokV3/ZVtpX2eeER2j7ra
9j2ByFGzaVPy53rkDphg3J5vjRbeDUNDtrS01GfT5yxkleUBECxIwkM0YBGWLYPy7mUdAQaoTatZ
6aJBdBZCbk2NpZ7AHVEbICxoN2MeXgdeUPBPMmk2TTrFdJi7ltNINthmGcHKx7DtTkFZgQSrDeQT
0w7p3bJszRjbSZkt7e6ke3AlCzPIkkiyyKriQ7ht2OrtIN6k5IB5wtU/FM48NAXv+k3d7dXjbDay
lomUbmcsAG+ZJ8HDZxlFJfYwGnqmpXEN7HcxXVtMYYlF18rIE3dCIlf5SXMbEnHy8bsE7s7xnLq+
rSwRjypbSVpZobYKQyKFxu3K+1spvYggEAuqs2eanNNaIiMHG9wj1XXL28tLtrnz4YpEl2S6fDNF
GkoKrwGDbgeAyNhh2HfYm0pr2ezttMa1gjuLRZPNgkDO2C4YrIc70JZN2eWO3cGDMKyPDtqiLJqG
qXLGN5tunSeb5iFmISQxksTg4GMtg5yoGAT1guL+KGCe50+SOW2Pkp5tzvjcyMQGB5YtgAtIRna7
EA5Zaze2hrHzOKguLiJL3Tr9FtUlVLeQoy/6vaV6F3+TG0bjjcCqsDtxVy5bW9PvkCnRfJZgzoks
izE7TtJJ3dUjJ+Y/wlcnaWOb4x8PvrXiCxu45HksrlIY59ReRH2/OFR9qH3yD3LD5VUAH0I6zDbe
HruO4tbqS7Eksjw2gUlER8blkO2NTsw4y2Rk4zirgyJbnLWU76jHc6kYJhcNFtaC2ceWZVXAy3Mb
k/JhiAx24z8rBfT9Oto7HT7e0jQRiOMKIwc7eOnU15zo1ndXuoaVl9QntJVUvII/Ljn/AIvMYlRg
jymGEPPmr0GQ3qO1CwO0bvUHFN7ghKXA8sjHBOKa8Ks4bcRj1FOkVjGBGQT7GkMhMIKgAkYp4VzK
ORtPalO5EyynPcAUsTbhuxjjvQAjOTKw2nHXNNWUMucGnK6tnB6UtIAOFXcxwvqaiNyo+6mf941B
JI0jbm/AelNpXNVBdSf7U391fypy3QwdyDPtVaii4+VGghVgWU5AHSk6jAqkjtGwZTg1cVlkTevH
qPSmnczlGwVS1i+GmaReX26MGGFpF8z7pYDgHucnAwOTmrw5Oe9cX8TLvyPC4t/MKi5mVJFXG5kG
SSO/BC8jHUc801uSeavcWss0VtI0kbQK80c0abFiYjdgIV5AIBGCOGqrp1qhKxW18uJkK7JUkj2Z
wMkAEYwepOOcHHNasmm2skMd6ApkmiQG2kbdjIBypPOBtwRjjJ7HAxrl57WeWxsZWVzJ+8lVMs6g
jDdM45wSMHPPXNYz1d2NX3NSCyvvIEbWy3sigkrbMrGMbQoH7vt8oxuPbgHBFdCdYj/4QyRIHG0W
7QuX/wBZGzDaM44PUAEYBx2OccVqktvpUXlzREXDZy5cZUgAgggHac7QM4HvU1ld6vNaLd6heXV+
zKP9GmJZGG0HIUgjHQ8DkrmpT5fmHkzS8C6KItfN+8knlpC8mwxsuHdinpg/xj5ePlPTkVoeMNUl
GqQJax2U8EYCeY1iWclgw8oyH5gchsbSD8+e3HP3/iG6uHe3guvsj+UVE0aNGxKsxClh8qqS5JON
2TnJ5AoaVdtOfskzTW80oJub1JgwkBcFmPAJTIXvhnAxjOapNqNkJo1LPVbOUWCiyVleJmuJrW4J
Kruxkp85bCru6jqx6YxYsL3S7yyvLixNxbi0OJI72IQmPfvKnIbBPyHoew9SKzrvVLKaNmiMF3E0
X2drh1/fz+YQpLAgsw2l8AYYAKDnNTyokN3NZ2z7ZZ9TjgmjuIWYSrHHhss2d+5UY+24BuDVxlLu
OxoxapaXMtwo1CGdlTErCUNvUqAOGIyp3oO45PXGKs6PbafpsVv9msmClSYWiZ0Vw2MMxHEgw4xy
du4YxkZt2Ol6XbxRm1soI1MWzfAgAkQnOGI+8Dnvmub8dtZaRpERs7eOC9lOxGhLQk/d3n92ACxZ
UPPGcYHarU32BxtqdTPJYT6UsmZYRFGVicSSAyMI8AAq2d2GGWJJ5zkEg1zunaRf6jK90k8fnxvL
J5HyqW6FduflwxVcjAPA7kVNBdD+wLJJ7V5roR+QbaO5E0h/fICwcAklctnjAJbI5BMVkqxRLfGQ
RQmFpElnVo8SBuuSRlQMndjAxnkYyNpxC2pUl1eS911rTxHo10sNyPOglR2hEKOiH5xgbmUAh23f
Jk8gLxt6X4l8Keb/AGNDrFyTO8card223zQUUYUhAACvyDdyNvTpnNOp6npFv8r4PnM0axyh3m3f
PI6RuAcj055LE7QS1I9xZ3ssU99p6ZV28iCa3eHYDtGMHaNuAcMd3TBJ7K+gtmdVc3NibkalbHew
81zcWu1orj5Su0lN3I8pOevyqo7isbR9PGj6bBcaQ8k8kytHBEZVjWdRGq+WTzljtkkVsYUlgQoJ
rJSx0HVLGPUbK2urO5S3EdrcWtzIu0BCqAnqBjB6E9evSnw6ZdzxW8dr4jOnQwN5gWRpVM/zHe7N
uUtuYE43H7xHykZJysalZ3N1DDavcee2zduZvskhkiDeawwilXQ8rllxyXIYE4NasemaJ5K3cFmX
sYYfIgbYzxfZzCpkMgOCqkblxIQMoCeWWuC1q58d2zLbafqLXlhAo2XEaxzkMW2h2YqzKcuuBktz
wWIJq9pvjnxBpkk0mt6S1tAiHzLlrSWE3DLGwVS/IYEscAJjJLBRyVWuoOS6nRprLJdNJrUPlaTP
MUgzNAxYj92IV2nhjlt2W+X5wCtc/wCPNZtpbKC2g1CeSTMbKu3JbgliwwAWDFWI7nGBnFaA8UaP
dWq2eoa/NI97BLI8F3b7INyGRWG5cnyyqkLgMQFO47mC15tNfT6q1xqMs63csStB5Uke9mLA4bY3
c7OoDdV4ABATE5WVjqrW5msLWHTU1KS11FnMt3IjkA3JcRiOQxszbmKMpI+Uk5Ydc9GusXOqaKDD
BBOi2qma1MKsLh1C7n3s+CNqAYKgkMTuGABw2k332nXIJrOPy97bmhI84Wgd422IG2kLl8FQWyoc
/IORsaxrltZ3Fra2sPlQu0YbzjtUs2Gwx9ApduWwDtyMHNK7WpPQ7fwPKW8VvJNe3U1zc2s000ck
qOiNFIsQKmNVUHDOGGOy+lemLLvGQc/UV518Mo7aR9Uv0WVPK8qwRJG3+WFTew3d2Jk+b3HfqfRA
RnAIz6VUXoUPVlY4A/I0pwTw35io4YxGxIJ9eaTa3mbt3HpVASjcB8uf+AmjdwcgfiKiZiHUY4Pe
nyS+Wi5J5oAFRAThSM+hzTGhBYnzWHtinhwVzgYPfpS5X0b86AM+iiioOgKKgcXfmHy3g2dgyHP8
6lTfsHmbd/fb0oAdUkMnlyD0PBqOg8DNANXRf6Z715z8UmNxdabYxKrShXyMDOHZFGM9+D+p7V6K
mDEpJxmvKfHF1A/jZTeyRQwWgjw7REFmADdQTnBkBP0XI71b2OcydXaCz3xSCW2+y2oltZEVmRgS
E7cZBC4DEAhj3rGsbea4eK6iByASqsx3EjG4MT34PzZHQnsa7C70O9nv5be3s/Jnbpc+cZY2+QEq
4IymQ3TocAAYJNZmppb6dqCaTYYW3t33fZ7kAiVX2/cJ+8gxtAHKkd6ynfsNPU5O6RJp7i+uvPlj
jKpbxK4RnBJ5JI45H6jI4Arb0+7kMXntY3EcEPQrchSxUDKgeWSRx61FIrQvNH5EtkodZPLySjjK
qCTwep3fdPT1HNy7mFxKyCaESFBh1YIEfP8ACDjtg5Ge3Q81DGo3Zl3hbXZLdbWdYp5tsarIxk8v
lVB3Jzn5lXlQO5PY2NU0+yRma2tmlmMyMbu22tmRAG2uwyF4CnaAMkqAcLuE0Wjmz0i7eQOLi53o
GkZXypDbcZ+6NpVc5+82COBVKzGq6JZ7rmKAwoHM4faquhRSGOMgEZ4Gc4yCOCS7i16hoM7y3wkl
t0ujb3JuZtjqzbRHkBcnBPzngHnByQQFbcsFTVdZtvtFs0jWqs8Vwsow0krlVBX7xYrjHUfOf9mk
vY4/Ink2SBbNYoUkhRt6s7ElTjH/ACyfkcgcn0rK1bS9RF/aO7XE1zKsNvblbKGTbncG6ghCWZR1
5BHL4JWoeg3odnZJZbfLtleJEcW6ReS0eSOAqKQMj025B7Vz2trJqk0MXnXFraJJE0TvbAo0u8BG
VucfeThgQ2ccFWqu/iCD7fdQ6fbQ2eoXdu267uZMbMLlS3B43cDGVYrHyRjbeit9TvbhizyJfWzm
4sp5bMp5COGQqGTJSTlD+8zt2ktHwSdNAvfQpiB9P0eEJex3TkYjcnaJF2k8AltwIKnOTnaT0pLS
zlutLmn1JrUvbWrvNbSXKxK7lvkLSFgMNtKYfP3hknBqhe6Nqeg3k7vr17PPboXja8c7YyzBwcAk
L/q0BweccYxgdXp1rYvcXI1SDdcyRyWtzDDdPHFJkFSrKW3MpLuVyCRzzkCqaSQldsxl1vQ7uxu7
S6aH91OgMElxby75PlYEHcyEYLLuyNvzZK7SatWkml7ZQtlf21uiPcTM4uYogzqvmMIT+7WPLMTx
hdpJyq7q2Lrw34d17w9L9m8NWNqt1DuUqkMc7ttJj2PGWVSxwd+WBGQVIJxxeqaF4p8CpHqmn/b7
3QUQC5tppkkkt9mQRkA4Q/eBVQQpwwUgGmlF7E3fUnudL06JhJHrNhdzQ7hAbaFUaBZVEcalosDf
l8fMOewXBNei/DjRYf8AhBNPbUIWvJpJJplmvYwzMDIQrDOcAoqEcnIxzjFeYm8s/EOpW95IQLie
JYdPSSEyKFTMnDgFc7sk4Py4wRuyB9A21uLOygtVkeRYUEYdwMttAGTgAZ47ACo2Y/M5658A6FdB
ESKWADI/dyHn/vrP+SaqXfgu7ktpLddSju7YsCLa9tw6sAcgO3JOOvTqBXWSyPGoMYBYuo5HYkZ/
TNTLgKSRntVXYHlE/gRInW4uvDEE7QS8NbuMMMkDESABlAwuGGcYznk1zV38PSt3NcomrwsWZkju
cmNg4VmeRwpCqMvkckE7s9QPfQwBzg8e9Nz7VLSYWR886R4al0bW0mnkhkURuz3cd2ybznkBVYD5
lI64wwz82MNBrGkT6nrN3qCSw3ttYon2iK5sSihnQ7lVAS+0KY9rnsBy2Cx+hZ7CyupBJcWkEzhd
oaSJWIHpkjpyayX8HaUYHjtxNaxuCkiwyECQHnndn3/M0cqtYVkZ/wAOLCa08GQ/2hbeVez3NxNc
fu/L3sZWAbBAOCoUgntjtius8pNxYMQx9aS3hjt7aKBd+2NAgYnJIAxzUuwEZDD8eKdhjY4iiMM7
s+hqBZGaPcm1wTwVORirHlt6Z+nNVzaQh9wjCPwcr8p/SgB+/wDeBMHNPdh5mzv0qFYHQDy55BjG
A2GH68/rUoRTtLklwMFgOtACEB1Izx7U6NQqAZ6U3yF27UfGTzU0beWgX+tAGbRUksJjORynY1HU
HQncKKKKACgDJAHU0oBZtqgknsKtRQiPluX9ugoRMpJEu05VfwB9a8y8KFr671W9mVUlmnDvsPyZ
JYtjGehP/wBeu18U3Ys/DGoytF5qGExsu7bw5CZzg9N2fwrzLw/qqWFjNfOt9GsTeVJGIgykhvvD
P1YHOOgHJxWl0lqYs9ElXy0VUUcsWKDnAzwfy5rzXUNLlu9GsZri5sYr60tygQYZJlbhedxOCFz1
OcmujvNVl1HwvJNb3caXScGQJ5QVQw3Egk8BTyQeO2D04m88TW3mG3NhBLYKnlwecoVxwBn5s5XG
e2cEVnVaZOnUms/COr2umTSWypMZiqiCxdl4XJBwxGeijGDncadY6NfXO+4MxiguACd0KKzYJIKg
dRnH3tvr8wq3p+p2ksTMqXFgsxklkdbr5Xxt55G4nAJAxj5cc5NdGJLZ7GWQyKoQBjKxJUhXBY8E
AcBufrkHsqcFJ2YpS5VdanOG8NpIkanyRDGN1vFKECnLAscFhyd34r1yDWZp0cVpLfWttG3+l3US
LEwDRxoR1IyAcMWBwDkdVPSt7V7qzaSSS8sUOnthJbxLghsqPu4UhiFIyR0HJpItDge9UQ3MkloY
lO7G/wCTBKGOYcEhmXklj8vOc5C5dTZXKFtiC4mv99sRd3D3ZS2n8tjEAArENg5ALhtuDjrzzWTN
HrNjd2UGs7bOQxT3cEVy8LorlFyGO5CgZvMClj/EF+bkjdm8PtILpvtSzobWSFEaUbxI+8+Z93AB
LOMgE4wCWOap+KBquu+OodU0ywmt7O38iCd5LFJVMkh+dmAf5lESYJzkFQoxkMNKLVrsU007Fjw9
cieY6sst0Yb1iX1SKGBEdwjRBPKQ+YqZjwuACTJjuC6Xt1qllr1w8Ul1pui6e6QJGiRt50nlFQqA
seOFAUYGTkhcMw6O6v4NJ04GS4jguEBKocfucoVXeuduwDGTlFYhRkZWsDTNQuJCpuI7gWk2bWJr
+BWYbtuEARV++2WbIJ6DHBNK/VhboUryGaRbrS5LKKFDcRxYkYFvKG9ihAyDjIUY+UL0L8sdCyur
5bj7XHa6lNcRrKkkMkR8uTHm4CuqjkARjBG45yC+Mmt4hvIL3UY9SJEtgjRp5IjMkbgsm8+X83Bj
wQOSRjIBYk9BpGnGUO8kFs0RtmgVhvV3HmFyOoBQgAgZOehJBxTfwoWt9DAsbm2TU4Tpl+8KRXLC
aS4lLG7WMPsggLPsIAcrg4wXD4GAK6n4eXGr61Z6ncXsEFkrsLYtHCyO2zcCdrjIIyR8xI4Hyj+L
MutCilv/ALHqSOqxSFUKW4+SIxFVKhiwVR86/MFUsDhQ2GPY+Crd7bRJrdyOJ3MZ4DGMgBCRksOB
0bkYx0AFSlqF9CWDwd4diubCdNPjNxp237O+5gU29OAQDj0xgZ4xXSEgY4BU81j2GnT290ZJbqWR
BwqsT+uSc1rt2HoKsGtSvMA91Aq5wu6Q/lj/ANm/Spz90D8aMBSHCrvx97HOPTP4VWE7luxyaBFi
imyPsONrHjPAp1IApJX8uIHuTS1Bcn7o/GmNK7FFyO6kfSrBPyL781noNxA9TitBuoHoKBySQmf8
il3t/e/Pmm01nVOvegkY8UxkZ458ZOdrKCo+nQ/rTc3cfDxxyHHVGI5+h/xqZWDAEdKcSSSfWgBs
W6RNxQoc/dYjP6Gn7H/un8qQsFjLN603zU/vD86ABJ1fg4Rj+RpGt4zzsI91PFQvAw+7zTd0kfdl
pDWhL9lT/no3/fNKLWMAEszZ7dKYLqTvhvqKsk5C5GDjoKNB8zGqFQYRQo7+9KB3ozR2NBJxXxIn
jGj2dsQxmkuPMRVHUKpB/wDQl/OuLkuPsWmtZWsI8i8iIcMy4HzK+QAOeQfTgn2I2vHznU9buNOa
5NvbwWZMhnHyZwWLIM8naQMjn5SMEZrmNXvLfUVFzC4jSOMlU3H5XLMCSMnttAyegHAOck3ZWDqR
Wuo30gezWO3SyuQVkijXKKThQ5LZOeBwD249arSyNNOkSXhlk4VFnTfGWI44znpnHy5596invjaS
7YyPtGTiJQd2Cck8cAEFu2eegFTW+oteyGRJlinmGY02iOJpCc42nILkYAzwSc5HAGI7qJFcC4ku
ktzFbzxwlYswyeXLnAzheOCxJztPU4PSt7TLWO20bUZ3N0CiFtt5CrEEIy4B/j4J4J9u5rFIllux
OsCrLG4XYY9hYA5IOAB2HuP0rZsHljt5rZbN3luI2DgvgD5WPCkDALcDk9cknqUtx6GfaRW8qXtr
DdWN5NuHmwcjneodirfMTsU8HuRwc05dS1qLxLLISlvZpIttIZ488kFyGYDoB6EYGO3NNjvYbK4i
sr+4sZ4zKZJFmgXMca5KESKckghR8y5O0n5ec3rK4WLR11KxSVZJ97pEjkm4wUjzkZx80gOM9QSO
5pryKulqQ+H5fEevWENlZzoL5neb7RNwJItyk8lGx/rem1eF46AmKwOu3niexW+d49Otrq4t5rpG
Num/KFYiTgkl9g2lRu3EYODjovDkk2j3r3dzCSkhis1RpkRWIwwfkb8gs44A+6xOckrP/ZsknmzS
x2E2pRmKcQwwKkm03Hnx+Y4fHznGSMqrK7nfk53TtEhJt6jNQn07UNEuLh5jFb3c6WzyJEEL4IYN
kj7uO7DpmuM0/UtOtbGNLPWRFHC63Elu0O+4mJcORhQ4VANgyFJ3hmzg89Drci699mv7iz86zXzm
OnzksC0ImcFlXcAWAQ8LnBwdw4DI/DdtZW2oSedOdSsg84RvIjR1ibMMTmNUYB1GQScKV5Hy7WlL
zHJtle8vLizurPT7S+R5IZWLmdzt5TezOu4DIwJCOM7RjGQRLZapZS6nEht7hpZZvJMpu5HVypIA
4OGUblJXJA3nGeppu6rrNlLDcvtvUkupiUMsoi3FVAXZkbkcDCgsD1O7k14ZbV1+y/2ktzG0e6O2
iilgmuyRIyqqkbgA5mO4E4L4JUgE6pQtruYzc1L3dj0wmHU4767lKWl5KoLRhCzFvuCQNuKkFURg
uMrghs5wMa21h/Dmo2BlieS5vAIrjy9p86T5VUu+1c4JAyBzu6KBWa+oz6jeQIsMMt4sUwMkTosU
b4yIyx3MwUlAxQHBKE4DLm1JJbXWorHcXd1aXFssUlx9lRlt9u3d8zKAu0GMpufDHYRnawBh6mq3
Oq0jxzY6nD5lxZX2n5Jx9qhKh17Mvcg8ds+ordh1Swu44ZYbuFkuFDw/OAXU9CAeSD29a8s1Twyb
7SbKG11m7Ij3uk6ztlwxDAkqy7sDgDnjp61LdQXK21rAJEe2t1UvJsAkaYLgOODjjcrf7MrHIKjI
Fj1mUkKcdQKrxuzSKpwfqKi0WyXTtHtbVYyvlxjcG67jy2cE9ye5HpV8FQwODx70CB/vn602n4Qj
qarfbLf+JpI+cfvI2X9cUATVm3eoWqTtG86KycEE9DWlEyTANG6un95DkfnWXcaZZyTvJJZQsWOS
TEDn3NBUdy1aqHkBHPFW2OWJ96hsolRAVAVRwoAwAAKp6vey2Nt5kQRsYBB68kAYoB6s0axdYtL6
4lQ2l2Y1UhirAYH0+Un8zUmjXt3exmSaNUQcBMHI/H8v1rWpCasQ2sTw2yJJK0rgcs2Mk/gAP0qa
o/PT3/Kng5AI70CI7hvkA96iETsMjpUkvzTIvb0qagB7cKMgN70nyHrkfrSAkdDil3HuAfwpgNaJ
H6kH9Ke6nceMgccUgK5BK/rRxnIb8xQA2l7CnfP6hv1qrqVy1hp13eCMMYIXl2ngHapOP0oA8h8U
30r3viCVpIZpS5tlgQNlgSEXA7sEV/xz2NchdzSf2lBpUDxLOrpArCMkRsNq5GOSSSSeDjjHNbFh
Y3YZSLKzuoZfmhR2G4CMEnC9wAzHoeA3tVOfSmtmEjwTb3UHAG4Mc843YIGQR1Y/XFZyeokbz+Br
SHSjJa3DySFBtfzNqueSCMdunf8ALqMCxt5rOKATMm8SkFQoEZBXO0Ht/Fn2Axntt2mq6jLss5NQ
WUzBgm9gRgkZVj0LAhsEkckCqwvjbbHCYbnzY1cIR1ypyMKCACc+nbpUSt0KstyZL5oJobZ4S6I4
815Y3/coDnhhhgNvB7Z/KtWEW1tqjyhJVffhwD5gKswVcLtOFJA6HjBJ4ya5GS+8y1vi8U9rL5aw
w5jxHt3fOG2nk/L169eFq2dQsp9MlhaN2VosuvyDcxG3B3HIPTI649Oyvawlqya9ittJupB5MMMc
RW3iuHd2kQqSFbkYDDs+3jcOT1qa8+1usFlcS3Etu8cVvLISHLSOkpJ3HLcB8AnjgY5qvJZwS3Nq
rIwg1Bo52m5YQ4AGAflCkEN042qemADZikg1DTDdxxmK7Mc97GSWUK8mUQHDcNu34znBzjrTSKRL
f6tbzqkqS3p8i7HnIiLiUKNmBlgoQl1OW5yM9shbbUdUk1GaLTbixXznXeVDkhHdypLuDsICkbQG
HmMcjigeDoZpI5HvL6yW4fd5Yj89lYgPj5shV3B+M91ySR81O5i0bSE8q91b7PqKxiC7kgQbpUEW
UXDAlhgqucNnHY5Naa9R28zntZ1q/t9fSzM0lva3zreCTbBGibyqpMTHvAwURif9n5VUMMdiNU06
1vNNW3MsU95HAuyGwQx/uztMKFSWUH5e7DaVbcQRmrd2+q6r4fuNFnaE6lYiGeK+uJEaJ41L5uGH
LnK7kdSHUl14+bIwdBk1zVdW1G11iMRzWIeS/vJY0ZVTa7fPuUxld2wgHI7rxhlu19SNjrtQkhud
dvLmZ1lie1U2m6VcMAiHofvcPkD29q1Ron2jTzLqN1fQXbylnhjlO3y8HMbbWcEncwJUgEYxyFxm
wWOn2/iW2t7UERo8cKwmPKojZwM9Q2AepyQpx0NWNZ8RQadbz4WT7ZJPMiQixZmG0hQ3+s2gb2Tk
ZByPkGGocrbDtoW/sMUVlFFZiS2SI5Ecb7ml6kljnJJ+9u3ZPVs5NcJrF1LquuIiyPbwSxQyMZ1k
zaQbVcmRSwwzSeXgcFiiFcFsnZ1DXYlvl1C1ubixWwijgewBfykOzzIyEG3G4oyc44wSBnFZP9jf
8JJrLWjJeC3m2XTpHkNbJj75LDBfMbgfxEZJ4yVhO7E+xPZx200tvqF3Y+VBYT29rbtcmSJolTAW
SVvmTlSOcZLZXqwFdBCz6vrCact1L5c9zGPIiUHbFj5j0JByrH09SRwth5Ird7HSDM8EFv8AKHN4
EWUjEnChwvARixYDChlAO8gXvB7jUPGVxctMWMULbVDCVEHy/IjFQcAu2CAuRjgAkGk0PY9JyQOa
hlM+QYvLI5yHzz+Pahrkq2Acj60ouUP3lxTuIRJJDIEeArkfeVgVH8j+lTkDIFNc4jLKjE9QPX8a
gF2BjzI5Y+P4lyPzGR3oAsAbc44zknFBZu/P1FIjiSMOjBkPRlOQageGUyM8dzImTnaQCv8ALP60
AWd/GCox7VDPa29yu2VAw64YZFEXmgETMjHsUXH9TUuAe/tQBDb2UNqpWCOJM9dgC5qUqR1Bp3f6
0mSOmRQBTkUh24OM1PDkxinTK0iFQ7If7y4yKhCXSEFLhGx/z0j5P4gj+VABIGSdmCk44FH2j1Xn
61YAG0bjhsc4HGaXaP7w/WgBtFFFIAooooAB1pk0Ed3bT284LQyxsjrkjKkYI4+tSDvTlICNnvgU
wONuPhto0xnkga4g3xlAu4Oi5XGORuxyejA8nBFcz/wqa/tLqAWGqRPbqQXjkLxhjuzyvzg/Xj8+
a9VnO2AgH0H9aqCRweGOaAseYah4N8XRXIW1itLiIoQojlKLDk9Bllyep+7jn8KzpNQ1W1t2stTi
mjjuCpFtcIcAHcCWG1RjGBnB+6a9rEoLbTgmhwHABUEDseaVgPBG8U2cUxsr7TnMAcoN6pMgXAXc
zA8nGMkZPXnJ5S2vvD2peXb3rNCQnnyylAyRhscMdpdsl8DOSCex3V69/wAIR4Zdl8vRbSAICQts
vkDJxzhMZPA56isS6+F9hLG6pe3BZ5N5+2RRzgZOW25UEEkk7s555zScUw1OHWWzSOXTjqKo11Gy
W8EqMrxymNQobgov3h05znHvZk0kWiW8wkknNtax/aILbaeYmMhIBUFjvz1xwzE4xTtS+EWol/8A
R3iclxHFJbzGMwjcCHIYHCgjdsQ8EnGcCqt1pusaJphjWFbe4W5LPLd2rBJmKkMCUzuY4JDd8ZPP
NHIgTNCbxZHY30bX+m6tAbdWaSHyIykiM2AzFWLNgnI2ZJw2eFqrf3llq91p2o6VMrtblIp52jT5
o2AL43KcNtIOVwp3N6YFOHUtctkyjyXF3PEXit027TtZBsXG0rnLn5slQg65xVI+KfDV04vdUghQ
GHKCRXSQ/wAPOFAJG0EFS3AHIPANxNtrRm3FEk97bAx4t9PWAQzwYSa1duCMtlTFtBJzj5UO4Pya
t3n2PWrKyRoYjdW0gkjkibYZIXU+ZIQRjy5DxtG7cGX5iDkZVtb2tza3L6Tqs0jvJho43j8qZwTj
LDbtRVkbcFwWHQjvPDazpqd5BDDsSTzJY7jd5qs5coqBME4CDHUDgjJOSU3bcqKbWpbayvI4p7WO
4vjI0sd15xkVieCxRc9ACxCj04PTng9R8G+MfFtzDci4SX7QcRxXF0XlgjJ4MnBKD5icE98AZGK6
+51W6s4nuDbuJnlSNAsgLFju+SMsBuYFc4wCR0BJ41tV1fQYo7i7Ng94qtJHL5FuG86RgC5y33mx
E27BP3SSPu1blZ2C1zhbDwQJrSG6n1q+aGPaoh062EEfmgkAxzKWSQAggMcEnglTnHbWrWWnQWtj
odqklrdQzXHkws4lmkMyuocsWLEorJnd8xAUlPlIrQ+IrT7DLren6VJcCJJJ1hkVI/IOVOeNyh+j
luWXzM5+YiuQute8Uarvuo7+K2f7MRJFDECEiYI20sVJBLLkkdMDkZAMOV+oXSZ31jbWtqmpxFZU
+0sUuBLOJZRGMxoCsaAIgJkwq/dx1HIXp/Bqh7K+v/lY3Mi/NwG+6MggHAGTnoCc57gDyXRvE+sy
XzWU2pQ3cNwDbyXk6u7KDkna+Mkcodu1uJOWUmvddEjlsdEtYroFpiGdychssxbnPfnn3zVJ31C6
6F+KKMwgsuSSaSS3G4bTx71O3O0AdqXrL7D+QpiFYMpOM4HGRTJJCke7AJx6UZOc55ply5A689KA
GrcYHOQfapFmV+OD9RVKprZcy89BSAsFow+3OCOuDSgA9GH48VQZt7Fj3OaAzDoSPxpluFlc0NpA
4B+o5pMnPX2qrFLIZAuatsxDY4OOOaCWrFaRbnzGaOZNp6I6Zxx6g/406JpmLCWNFx0KtnP6cVI5
JQ+Wo39sniqv2maNiHtt2D/yycN/PFAi7gdj7UZ96ZEwlRWXuM4PBH4U4hgcZNADaKKKQBRil6e9
JTAXtVWLD387gfdVY8+/LH/0IVaPakSNIGfYuSX3Ekk5P+RQAy7OAq+5P9KrxjMij3q4wR8bk6dO
aYIo1O5c59DQBgyeIbRbvZtkPzY3jbtHv1/zmt8HKg+oqBYnEgyOAetWKQCqMnHrxVdWkHClvoKn
HBpXDbmH7zGe7YFMqJHHK/mqGx1HUUhnUMQyHI64NIUy2dyj6tmoLt2jlYrG0mW6IR0PfkihgyN9
L0aaaSaTT7RpZBh3e3UluvU4yep/M1SvPB3h+/VxJYQnepXapOxARg7UPyqSCckDPfqBVyKRpEy8
TxHONrEE/oTUlArI4Nfhfc6FHcP4dvLVW+VoIrm38smQYw0ksfXGWIAQdh6tS3HhzXNPP2hImmZZ
Qx8iViNoCgL13MOvBHrkmu9WR16MRVtSTGpI5IzRo9xbbHkKQraD+zryCWOBxsFqF2Ev8rxhU6ZB
RcDH4VgRLpUtpbTy2+pSO0ZMUsEgkEVuvIEnJYqAfMyo3Euy/KVAr3y5iinDxTRpJGeCjqCDj2NY
114P0G7eWV9OjSWRNheMlcDjoOg6Dt2pSjGQang974ee4s5JNMsY5tNkLrEkYUzyAPjaxJSRvuD5
cDqcepS+n1LRnivIZX02cwoHs0sFt2+TZlzs+UBjgk/dB3fdJxXsj+AYftAkhv5AsaKsSumWTByM
MCMDOeg7/nm3Pw1gmETyWlhcNBGI4ky8XlgMW+VkwQcnqc579aj2fmFkcb4b0vSj/Z0lobYpqN2Y
7b7QC7JtWNuSAyq4JZCccbgOck17XLGsaoqKFjUbQqjAA9BXL2GkzK1op8PRWRWdXyDESm0p82VG
AdqgeuFAHt2JjJXlcj86qMWkPToQrdEEFkUkd6lRt0ZbHXio2gjJ6EfQ1IcrFtQAkDjJ60xCqMsB
71XuWy4/OlW4dOZbeReDkphx+nP6UksblydpxTAhqeL5YJH9sf0/rUBBHUEfWppMraKB1Y9/8+4p
DW5Xpao2txqElxsuLEQxgf6zzQc/QCr3ag023JrUfvt390ZqzUVsMRu3qQKlz7UzOW4KcHPoM1T3
HNWpTthY468f1/pVJmCIWY8AZNALQfup4lYDAY4+tVop451LRtuA74p+Ce9Idy9jNGaKKCQFFFFA
D0GXz2XmmUUUwCiiikAUUUUAFKygsTiPn1zmiimNCbcfxAfRBUU0TvKWGMHvuFFFADfsz92QfnTX
hdBk4K+oooosBHWhj50X0wP6UUUCGk5Yn1NKeKKKAE9xRjjNFFAByPWlHrRRQBA1rEXZxvRickox
GT746/jUyoIsoSz4PVjzRRQAuEPcj6ijYezA/jRRQBFHPFNny5EfBwdpBwacyq+AwzRRQBG1uh+6
SP1pn2Vj90g/pRRSGpMsKnlxIh69SKXPpRRTEQ3LfKi/j/n8qr0UUhhT1GRmiigcdz//2Q==</Data>
</Thumbnail>
</Binary>
</metadata>
