<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="lv">
<Esri>
<CreaDate>20200508</CreaDate>
<CreaTime>16185700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Baldone_orthomosaic</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">524328.666530</westBL>
<eastBL Sync="TRUE">524847.273530</eastBL>
<southBL Sync="TRUE">288502.129000</southBL>
<northBL Sync="TRUE">288904.496500</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\BV\D$\RTU_MAGISTRS\mag_darbs\3d_modelis\Baldone 3D\Baldone 3D.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_LKS_1992</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">LKS_1992_Latvia_TM</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;LKS_1992_Latvia_TM&amp;quot;,GEOGCS[&amp;quot;GCS_LKS_1992&amp;quot;,DATUM[&amp;quot;D_Latvia_1992&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,-6000000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,24.0],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;,3059]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-15998100&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;3059&lt;/WKID&gt;&lt;LatestWKID&gt;3059&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20200508" Time="161858" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip Drone2map_Baldone_orthomosaic.tif "524325,254939668 288499,466920378 524850,736638832 288907,113110295" "D:\RTU_MAGISTRS\mag_darbs\3d_modelis\Baldone 3D\Baldone 3D.gdb\Baldone_orthomosaic" Site_border_from_GCP 0 ClippingGeometry NO_MAINTAIN_EXTENT</Process>
</lineage>
</DataProperties>
<SyncDate>20200508</SyncDate>
<SyncTime>16185700</SyncTime>
<ModDate>20200508</ModDate>
<ModTime>16185700</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 18363) ; Esri ArcGIS 12.5.0.22081</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="lav"/>
<countryCode Sync="TRUE" value="LVA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Baldone_orthomosaic</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">24.397716</westBL>
<eastBL Sync="TRUE">24.406233</eastBL>
<northBL Sync="TRUE">56.743498</northBL>
<southBL Sync="TRUE">56.739856</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>model</keyword>
</searchKeys>
<idPurp>from drone imagery 21.04.2020</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="lav"/>
<countryCode Sync="TRUE" value="LVA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3059"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.7(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">4050</rowcount>
<colcount Sync="TRUE">5220</colcount>
<rastxsz Sync="TRUE">0,099350</rastxsz>
<rastysz Sync="TRUE">0,099350</rastysz>
<rastbpp Sync="TRUE">8</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">FALSE</rastcmap>
<rastcomp Sync="TRUE">LZ77</rastcomp>
<rastband Sync="TRUE">4</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">FGDBR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">0,099350</absres>
<ordres Sync="TRUE">0,099350</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20200508</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+Pn6/9oADAMBAAIRAxEAPwD2+imh
wTgA/ipFOrMoKpSjy9Rjk28NgZz3OR/hU9zI8UJdNvB5z6UoRJ0jkdecBhz0oAmwHJ3kDjnIzn9f
TFIsUEch2rgY5KoBmqFzdyxytGpUYxggc1Xa5uZMKGYnPReD+lMEjaVkAAMeT67qhkh5EiF9gJO1
SBz6H1rL8q5mYBlkJHI3f/XrWgj/ANHUsCrIFz79R/WgLWKYe5ugNv7qM9/WlWO1tSN7Bn9+cfh2
pbkXLyBIzhCM5HH60kWnoozIdx9BwKQxZbiCdFiJb5yOg6dKbDZMk5LYMYOQMnJ9Kmh8hZGjjXDL
14qVVEYYliQST8x6f/WoFcguVzLHuJ8tsoeO56f59qmiiSFNqDjvnvVO5LG7SN3IR+EIUnB/oc/z
96lgnlnl3BcQgY5wOePrQMtU5+drHdyOc/lTc07qh4OVPXPr/wDqpkld7lY5xEw2gjO4kY/z1pY7
iOSUohyV56cHmmXduZ4xt++pyPf2qOCzEDedLJkrk9eB17n/ACKRWhcPBPXHaoLq8gs498z7c9B3
P+eOTxzWbJrTXsbjRViuWjkMbzPny1+UnOR94ZwPlzisAGPTpriS7mbUrxiGZCVkRPlGGUE/Ki5A
3NjjnPJobCxoSa5LftsMf2a2J2MXIHnA4zsyMsOQMjHXIJrL1XxglpaxxaU1qpG8nLFVIwvA28nm
T+EHkZ45IpaneT3Nt5a3C3Mi/KYI7hvmPbcBgyE5I+TAGPTp55qtxNftpscNxPFPE7CVBhTzjAIw
ABlW6DjJ6ZrN1OiNFHQ67UfFMl2qzWpaSIIVYTrwCTyVXcfQ9c5PpxXC313dyapHaXHmPHsVYZiG
dUXooPPGORjj6c5rTinsreQwg5KYJj2ZUDHAGD9O5/lm1asl1J9ihtpbphk/KmWbAJb+p6Hp9K5L
ycrMTjrqJa74ghhiYyb1Gw4Jck479cnPHQ9hXQ6Prs+n3KS65cwXCPlHQoouV2jHzc5zkAHeScN8
veqlzYXukW0jQW90r5XfcBGVY8kDYjY9wC2eeg4+9z9xYTWZW/ubyzhtCo3q9wrHpj7iZbrg9K09
9WSBy7I9hFrZ6tEbyzvTb3XEjXMGzzVPQB8Z3pnB2nrgc9Knh1i802FY9bg3KkG9r20VpkJX729V
UFDjB6beTzxivMbZ/wCytHTUYtXme1cYd7EM4Vg2MOrbMA7SBu64rorLx9YxRvbSpfSEKsjXLsMD
IUkAAnaMnkZOCcAYxXTTmpx13Ja1PSI5EmjSSJ1eNwGRlOQwPQg96kCjIywXnHqRxnpXndreiGb7
VoV5bWp2+UYGfbal8gksAAS3HVeeADxkVvya6t9C0dr51tLC5juIJFCyRHqucZGCMkEHBH41UpJK
5E/dVzpWII2qMLnPXrTa5eO+u45Awmc4PRmLAj6V0VrcrdQCVRjsR6GojUUiITUjnb92e+nbjO4g
Dp04qv09MVqa3EElSVPvuCDnpkYrL6dAK55q0mc8laTCjuetB57ZB4waM+nPPapJD25HvSfP2xil
9cdaRt+flxigDrUnifftcHZ949hSpKkhIRgcdabIYghiZ1TK4xkDio44ACHhmOMgHoQQOMf59K7T
uJpYxLGUYkA+lKieWgTJIHAJp1BJHTv14pgMaKNjlo1J9SKpzTvayskccYU8jC4qldv5MshkVvv9
EUseTxwKYT8wUMoJ5wepFIpItvfTsuAVQ+qj/GtbO23lOQMAHJGcVzytu3fKy4OOe/uK1rifbo0s
jMisUU4ZsDOfWmt7CaEtnmIjVgcbSxY8554FSzzCCPcQTk4AHrUDXsNpaQvIflIC5XnngY/MirMU
gmjDgEA+tAMRYk84zAnLDHtTbqPzbdhjkcjjNMubxbc4KknGeTgYrPivbi437PMUhj8u3ng4yBzx
xU3V7Ak9yxbxi6tzGeDG3ykjIwfWrRjaFJGhyzu27DHipUVVX5UCZ5IApHmjjIDOAx6L1J+gqhGU
0d1NOouVZ4t64xH9w84brzzjkDjr06bOVVXLEgBSSR2xz/SoTMFLbykSBc73bofp1/PFZs2oW9jG
11NdNPLjEb+XhYwR94AA5zkc8/hzRohatjbrxBGvmJYRG6kjHzkZVU/3jjj/ACKxZpbu+iuJb6ZL
qPgCztiVVVJ67hy5x6dux6HE1nx7HJaXFi9y0N8yo0LquWk5yBtxhPcN2PAycV5xa6xqL6kt1pjC
OJyUzLIskjA9yxxjqAQNv3cdBky5JNrctRPQNV8YR22mPY2wjs3iUYWHaSVAPHTAyf4vQghSDmuR
l8RXnlXEUUfyzt5/ltIHZZOjbmxknkHsAScDFLcWZS9hvLVUn+0IHYNncJAQGXGMYwB37cjnNRXk
DQySI0SksgJw+0qCSCDn3IOev0rF3lKz2L0SuVF166aeO5uES4VG/eITjcB0B6EfyP5im/2lHMoS
8lLS43uSwBAJPc5JHP4e+OH2lrFMZESS686TKpuO3nGflHQnB+mfc8ul0+Oz+z27Rzqh3hkL5BY9
ckE4PXOCDz1q4QjB+8LmbJJPskF3azQosk7hY2Kq7sF25343dx0GPXkd9O28QXcTPFZqkGxwu6KN
CJBkYOQuecnvxWJKU/tOMyxqqLkv+7KnaWLM2d3cDPfG725bpernUXfZbxqCv7tFy24Hp7nHH1Lf
WpnTtrHQGb+pW11eKt+XDRmNVEAbCxhPlwvbBIDe2cZ4rJs7h761UzxbgzsCFON3ftiui07yYVm8
xF+ySSbpYxnO45C/N2I6dO2D2qpciwtN0yXEsqOVXIi+6xxkEDheh65zsbBJGBnOLcr31C5TsbmC
zurbT3kbyb5xbTqACvlNwR7c477uBg8HMUMMbwu2QnyboxH8o5Jxxngfyq9LozSO01w0iQZ3Ry+T
8ruOVXkEFcqxYnIGMcFhUVnaNp+nyeftZTlC3HB254G7pjB+hHNVSk3qg9SL+0vsUSLCXVo1OSVG
FH5HBzkFj0+tb8GtQ6sE+13K2l/GoW1vEJJ2hsnI43D1Dcc59c8lG0moSXKIoUIw8ubqMcEjByOV
9ORk5qYxRRa15FzczxzMn3S4KvtIOMhcj1688f3eNlpowfmekafqT3Fw9leQiK+jXeQoLRuuQN6H
0ycY6jp61rJNLECI5ZFHcK2M155a6uiSCG5H7hJQ0e0bhHL/AA7c5HB5J57A5Ga7KO4ltYLQagQw
nby4bqMHy5W7Aj+ByOcdD/CT0GU6fLqjkqU7e9E0JZpZ2VpGZz1+Y9Kj4bBGCOuc0vtzR2yOaxMQ
+vr2pelJ0xxj6Ucg8DqeeelAhe9IOn3aB04zxxSigDfSxaVEkaUAsoOAgH8quxRiKMIucD1qs15D
HKtum/hQx2Y4Gccg84ODzj15ph1FJkg8pGxOCQsu6J9uOykbs9OuMV1e1h3PQ5JMjIvHk2nzMjuP
lFT2qXKSOXB5A53Ak+36mor6+vIYlFrZvJMzqBxkAbhknp2JPXtUV1calFHGkFpEZZD2lKhfUhtp
GenXrz6UvaJ7Jv5DcbbtF6S0jllLl3BPUAj/AD6VCNPCT7kmYIWBKMgYBQD8o44yeT19sU5VvUgw
0qSSDOCRjPpnA47ZNIsEsUGS8rEKWZVcsemSASaOeT2iNJLqTR2kMSlFiBUsWA2jC59BTb7jTJ4Y
/kYqoQqVGOe27jiuV8R6hJCsUxa6EUjncdu8xsQCuFYjB644PuKzh4605jdRRWlyygqhWSPZuboT
uyc/wgcZBHvw51Iq6bBQe52E82nfZlF1OF8hMkiUrjABJ4PTjvTodRtFhBgWR0JCjad2T045/wA8
15f4r8XGWytp/wCyo4oVOHeSRiMMQCvy4JUjgjBzkelLZ+JL2SGK8a6nt7PekxtoJFPKkDyxu5yW
yDz1701Vi0hW6Hf6h4gtoph51lcGNR8zkbdpJGMj8sfjxT9H8QwX9zJDtjh2nCxggMR26kY59q8j
1vxDYXd5NdfbrqW7BMS2dzOjAHJy21WbBHI9gTisOGe7aS5ubfULiKBgWVkkOVcE46EcYwO/OOe9
OUlF2aBRuj2TU/F4s73MlteG3G4ZEToMggHBwM9yOelJe+NoH0ie4smhjmVGdfMdchQCXOxSzcYy
Rjv+NeVG/uNU0nM5uZpbedv3m4lQpYqVJblcHn0PH4QXNs32+xmjuFaJGDhRgBx0K9ckHocZyMjn
mlzO+g1FG7d/FS0ljEN9PPJcMnlslrHsW4HGcyNyMnOAox06ViQ+ILrUovsEZS1tJEEiiMFTcMOA
znOTwAMDgEDAzVzXPCVi1pbTqsaMzbsxScpnkY9ecc8dyfSqNvJZ2eoJHHOk8zlXhDHdtBJGTjnj
16DFZzi3syl2COytYrYN5EZBHD7ckMcdx0PGOc9KgWeOF45mlRpgdvlwDBDgZyASRnJB5JpbvU3M
G0Qz7opm8148Yx94KvG5h93nAz07ki7YRlraOQQRzRpI5fy2wSzkZyzZ6c5POPXHJbjFJIlb2J9J
u1aWe0nt54o9v2lMr/EDhlUj6kDrzjJ9aMevnUpZYLQFPLlbzXuVKtB82MKF78k546fStG106Bbx
LkgAxBohGimRU3Kfl2jO3HXkdenU1RFimn64/l7t08W9Nwzv+ZgVIPfO4Hk9PbFNWTv2GUZdZTTi
U0nyDukcMwjOEYnna3Q+47Z74Od6O2munZn2I7Ahxv3Fj1GAGIIwoPp1x7413aGLUlhWMSQ8ktJw
RjJ+UYHUHrgH64xWnZxyQ2kRMHJZCzqCrcjhiW5ORt5PbpkdFKUZWa3Ijq7E6acj2xhdkGW2qFVn
CA5Az6jC5z0+bmq0dpd2l/bedc29sqsMSNxgHIwQOhJIx244rpFuElvlW3dcqdrrx+7XI6AY7c98
Z46c0Nd0yC4gOWISRsC3kchGB3HCgjh+SBgg45zxVczZbSKF1qDSzssgkK8OixENnr3zhScHBIxw
O9Z9prNnBqsweJXnWILEJInyAeC2Q3Jx9Bx78TX2nXUup232OO3jvJJfKMswYRkkbSxC9ANxPIOA
Tn3u2Wg38d/dW01rG9wEJe7iPmK64yx+X7oGVGB8ozx1p8qfvkJ62MaLxXPHfC5ay1Noo4x5srhv
mAAyxDNk47Mx6VLpvjBNT1CCzurZomkZfKU8rwOM5x1J4wPSp9W067xbParC6NIVaO2wNykr2x+f
X7o/CKJNNCyLJAqSRxzQhsD9y5fAyBkA8Yx2JGRxwe5y3RdnfUv6XZXUX2mRox5Adnjycg5bJYqR
nOcHGe/T1uS+HIbUbI7hI7UjaAoA2MeV2EgAHnGcA4yc46cppN9PpfiNLafzblRIS7q+SflwQSDj
tnt1znmut2y3lyZhG2NhMmMqikcZ2npznOOpGeOazmne4ktSnJf2yW+8WwgnJ2iS6kwxAI4zuwx5
7Z6DnI47PwNf2ep2s+iX1uGt7uPPzowQngYUk9iMggDn3rgL2C3W7iWd2CxqJIAWB83gEDHc8AY7
Vp+G9QubS7t5C2JRJ5o2tgDnI46kHOMj1/Gq2W4mmmehaFbXF4l7A9yrtZ3slmjSgh5FXkFj3bHX
A7ZPPJtyWlxCWEkLjb1OMj86f4d81P7YmCssc2q3DoxHDrlRkeoyCPwNbIkYLID828HIfJBOAOnp
x0GB1qZ0ZXbic8qcWznO3cUDqeDW/c+TJHPI0ALbQQc5Y46gZGBwP17VnPDGsO+e1aMrCZJWtpfN
hixnjJAds47JWLi1uiHSfQokA4JHQ5FIWUcFufrWgmmNOiyQOzIxKjzI2Q5Ht1HQjnHP4VXbTrhg
rfZzIGUEMoDAj60JX2M3CS6GxBdxeduS1VHkIVmAwTg4GeOeprQIBxntTRDECCI0BH+yKSGTzolk
xjPbNdiVjsbuPIBxkDiloopgFFFFIDmPEKW9gHub0xJprxlZXYElT2z7Y3Hd2ryLX7kaLqCCTDad
OpaC6R8eYvBzx6DrgHqPUV79dWsF9ay2t1Ck0EylHjcZDA9q851rwpBHZy6FdITbmQG0uZMsseMk
LkD72Pl69M/jNSnGatIqLOY0fQr7xTp11blFjWH/AI9xIg/dHnDZJO48dRwM49at2ejreeG7otJB
dSLFII7XAeN5F+ZATk7huAGAcHPHrXP3aXv9oz2N+WjVI/ljikyASBgtjIH3lx0+971TbVZp7T+z
bYw3DBtpXyQu1ypGQMc8N+YH1rKMo03ytbDbNfxJpejW+hhNNitLO53K+dgVzGxxnHVhn69D6Guf
i8Py29yZ5LzEBIC7F2Blxwc8jjrz165PWri+HZpoA8pEc9sJIyJD/rUBxluQB3/Ida1pfJ0u0Wa3
gkdVkBKAsiEv94qOT1YMPUkDPpcqvtG5NCprl3KWmmOOxYRX7GJvkaXAJcMDvwcYxnb3yOvOamaz
it5ZFij8tgh3HG498OT+fQdParFhdR3PywwFImUEAkMoTGCMA5PU9M8j24pajrdot7JbyoHIfYrF
s/vB9O2W6Z55znPMRUpPRDcjN1fUZ7aZDYTySTR/ugokxtPPXPXkcjv345qnptjPeSubqMKJXLSs
218A5PIHQZYkDjGB1xVi104SmKQzICX2K4JHy5wFHJOMZP8AnI6nT7QQOjyMqokCoVjzluD7Hnp2
4961TjTjYNtTlSsVpLeLc3DwRBgztK2/Y5A2lQOedw+hPWt6xmttQSG1gmjuEZ3WX7OQPMOCQA3O
OTu49CPQ1Lonw8HibxjbjUpIf7HhV3Gns2wkHjClWDdckntgDntteNvhqml2UGoeD7e2t7/TcyXF
kshZpIWOFcEnPSMnB64Yg7gd0wjzU+aL3IUrPUh0uT+xLKSwlhAuJWK2iBf9axUKFyvoQc5OT9MV
SsCurXk2n3CI2oWszzyNE+4Rozt+4LDGWWQg474OMA5qtNY6jfaHYa9pySza1EypOskgysXJdBzt
xnPTHBP0FfW7z7Bd29zG1wuoyKudyKFTBb5u4JGU9Dww+k2tHXqaeRsanZLZ3cZtnMhjgZZIXkHy
g7cjGDz9T6+tc1BJqFprU0fnTXttOjYeR+IxjIwBwGIwMY9T0xXUzXt1qFlaxvEJNTC7w23kFQ3P
GduQQM4I578VdtZYNQs3YGSymAVj8m7Bz7jkde3v6Gk4KK0eoNPoYmgvPLcgG1kTzTteRWT5n6cY
PoueOMk85zVrxjcfaLKOxgtyWWN3lUx42MoODwc7sjtjrjnOKv6S0lzq4iEccsZhEqgMR5ZL/Mp3
Zz65zg9gM1z/AIuS51a9CNbulsqiNHDAeWVbJzjr/EMHPOTitqUmp+9sZybsZPh9hpuiJfyXU4uz
Kzcp5od3jcBS3Y4EZPJOHAOMnHWw6jt8N6lDoqlzNBGsjOS/khlkUuCnD/OUwBjaXOASOeesNOt5
7TTUDtNZWlxPNc27qApVcSHG3Afdh0JxgAchRwOr1nULi/8ADjw6NaW8M8su0pFFgSO0u3Dbjg9s
k564PQGt5uPLd9RRetziVtfEWnou8JeJ5RaC4imT92xyGAdxk4HORk8DkHFQW87QgzvbBZ3kLOw/
1jDcQrFs9+TxgdGB5yelv726Zne+t5jKzfNI0OH3c9Rk/eyCQenOOCBVK30+3a1nhYxIqz4Z5Bli
CvAxuz827pxkjgYArnqckVqbKLauV7q3aFWuIDGs5YBQ/wApxnAGST/ex+mO1WY472CN23zQRsxc
EHoAMAkg9SCAOOPzpviNBNo4eGQxbtqiMqCx+YMd2ehHcY4AxkcVZ028WextLKOLbEq+WZA3GEGF
B4I5GO+Rjn0qb6JtCd7nL3FxIkdrbTM8iKdyO0b5OW5BPbGOM8DJ612GnPD9obpEBhGddvPPJAz2
OfY8cjmqViYL6/BsxNI2wsv+jBFmy33Q3U+mAM/kSdOVGsooi8JC+b5Q6qSSM456gAVcouLE5XVz
0zw6wfwtasO8sx65/wCW0laFZ/hgI/g+ykQg/PKSR3Hmvj+daFaIyGRypKMoc/UEfzpkk2GKLjIH
OadgxkbBnJAwTjAqSgZE0zxTnyyAzEPjoXbGOfXj19B7UTiSVlJS2kIUDdLBuY/jkfyp6kndnscU
6s5UYS3QXLk5kELGIEvxgDHr70QI0cCq+3cOu0YFPJA6kD60AhhkdKY+gtFFFABRgngAk+gpQCQS
McdSTgCq01wT8kbEJjBPTd/9b2qkhDp7pYxhCMj/AJaY7+3+NZOrafb63Zm3u41ljYg56FSOQw9w
eR6GrLxhwMkjHpTIwwbhdqDjBph5nFXZnieOxmkii1NEcRAzENMo5UjgAgZPrwMEg7gOTlgijnmn
ybmSCRkkBffuGCMnpnBAOfVfrXo3inw2mtW63dtF/wATW1UtbOuAX4+4SccH1zweemQeGs7QtcSQ
aratBrUSkOsKqpZMsqkrnJ+7/DwdowSKycNeZGnPdWMi81XUWFqsVs6PNIlwY4yXPlldv3QOCfly
Rnk9RzmhqF3psptbm5nhjlICSqzYI5JZWHY5JznHTp0rXvISZLaXTREbiNo/tE8gK/uSpO0MCST0
4G7G7kYJrn7/AEKG5v5HMk8Onyh5nl8sB9xOeAqg/wAR5bJwPTpnyRTu2TKLepNHOY7R/sUciy/M
gjhUkqOm4bRyQOhPdetU9I0eNB5mpKWuGK+TCQNm7d655H3Sf8MZ2NO1KC4mt4YLmFpkjcFfLZxI
xyzBd2PmPJIx3Oeua0dJ07+1YJGiWVba5k2B8nzP7pBxznscD0HXmteey90pJEY894vLs4ZJpnmX
ynjJIQMQNvAIZshQe3PB711I0O4l0UTQRSpcLICQXAJfPo3TrnkrjPU4AG74f8LEwQNc2kke1cqk
u0bRxjK7Qc4z1OR0wOMdRKtsyJHEjbSwyDEdoOB1446/hg+9Z27j3PHpdZsbB3SW4drjKE28DBmk
PBGxdwJAz1447CvQ/AviifU9Fjg1dUivok3OADhE+YqrnkKwVQTk9x3yBzupeH9P0nxHYajp6pNc
WRUm2miQicBdkYVwN25d2QeSTznjk8QeJIrXw0T4fmaKJ+SYFIkjYOmYztyf4jz3xyTkVtSjCKb6
kVOaTSH+P7Obwusev6SrHbKFvrYQs73QJHz5AODgEFmxnA68A89fXOl6kifYIoI7lsSK06spXJIK
Lno+5eVPSuh8H+IH1q1XTbiGQyBs+fPk+b5hychic5YseOB0Fcp4n8Jp4W11Db3DXC3NwblY0USN
C2RkdDtB/vHk45PBy6ibV0Om7PlZUsydMngNnGVCMXmZ2y7nnO0Nz2PAI5x1zV2ae6TUbfUEu99p
JlZ924HcQME8fTGeeSehwVa6t7q3MuHiwF+QIC7tnJx69Mng/rVO5gZoIhayG5eRRmIEpgLgZJPf
O72ycegrCy3ZozeuBZas0csXzXcKB49kYDfJ0xzk5Jx2BH0ri73XEFlJJJ87yFiqqCCwxgcAgnJ7
/Xriuo0+zMJczSAucgS4IO3PGM8dj6jOemMVxWq6Q2rapYsiNNbXF4sE/l8MOTuwQDwVy2cHA5I6
A3TSTM5Lqdh4VSeTTra6+zyAhYlkZAAMmMuxJYjBLMxwOh4UYHHS32oQSoFs5pTaShWbZJgoVVSB
kDAPTGScZ9TgYz6kdMV5milR7WIsyi3JAG0KpJBPy7mTJBJPXJzWFp16kpAZ/L2AiZRJ+8UcDDDP
Q/z9e1V90hwOjutSFst/BYyXC2k8TQLFMRIqg7hkDJwRuBz1OOpzkcjfWt1qklvKZTZ+WDyqhCPm
LAIMhdpZmI+UYGcA5yNKN1ktnMru8KEkop3fNnuOP7zd+9Q7kmieOWVY7hRtyz7djMpGF567g3Ge
QPxrJprdl6SQhMltDHLLetGyDy45D92VyMYY44bqPlUHkduKIBE8EdzaNKyb8CQx/KzFjnceh55P
TJH1FDQLrOky2cqozruWVYhuZdpzkkZBJ4PTkNzyxo0qCVzMZJLa1s4FQLIqgJjGCVfqMjq2e/Hv
Su1qTy9yHT7XUI7eMQGNboEyNHGUIkwSNyg5IweDx1GOjcbclhLDZfu4Ps6WkDhzcswUOucYXbgJ
1z0ABHcVQ36el79ssojcs7ITdBt6SOMEEk53AA4wMY/H5ZtQtm1W1uIED+W0R43tuky28AjOCoIz
gnA4wPTPEVbuzCNloj03wUs7+FbdZB5R2tiEYwDvJbHfuB1I6fjsVzXw3iFppP8AZ7zi4eMA+aY9
v3gdoAHHAAGR1xniuouB5TFjnB5rpi1bQya1KjxM5C7PlHqc0qQsHLMwPOaQyux+VSB7DNSI2FjD
ZBI70aD1JKKY8Yc/MTtx93tTwMDFUSRx3cU13Pbq5M0IUyAqRgMDg5PB6Hp6VetyOV4z1qMROe2O
O9TJFsJbd0BJ6AY96xtrodlWUeW1ySqVzqIt7hYVgklJB3spCiP0zn1wegOOM4BBqd7tFcpEVdwf
vHt9PXnvVB40CpwQqjACjgCtLHJck+1y3L4xiLOVXGNvH6/j70tRksHCoo2HHP8AOnLIrOyDqP1p
gKQSODg+tSpC7qDwB6nvSwRh2yw+UfzrOv8AU3aTZCWVB3HBNKUkldkSkorU1YoSj7mweK8+8baK
41C41jTkZdRUL5giBPmLgDftz99V6EckDbyduOnhu78kmPzXGOwLf41UmZ3lYyZD55yOaznUXLoz
N1Xo0ec3NuNQhW/s4xO8qhpIg5UHqNxGACCVI6Hpwe1QSXzxWEEVrCXIX/VmTcEznPX/ACO/eurv
NKks9QbVLVHeDLNcptB2KQuSuMEAldzHnB+b1rkvE+nT6I6ajZhp7fU5H81xGHMLf3eBkjAUYOBj
HsRPutXOmE7q5wniO8lsNajnRZEtjt8vy5VGflXdgAD/APWfbFekeA9bltGL3qoY/JE+6TJKLwNy
bc5Bboo4ycDnFcXMsWq2lpd3tkLjawURxoSZRyGyAAQct14+7n5cAVu21sz6ojSTKQxUwrCuzgZK
7SuSSPUNkYzxzklPmaiCaTsevajqcwC3UZmWa3BDQqpUNjBJOfoBtPPf0rPvdfv7gr9gEgnQM8sc
SszkcEYIGPvcY5z64NVPCdpqM0S2+pXdw4hx5TyjBUgqQrMeWwMjd3yenFUPFH2XQbxlkvhDKzGQ
KI2wy4OQSueSQBjuMjvirUVe7NE7I5fxBqF7FqDGe6mDFRiaN2ckkgbgMHPI6N0wM96taXcN4iaS
SU26sj4cK6iIuAFcKMcZCDPsRnJrgPG/iaXWLhL60klgkKkPscoSG2nHqy5457jNb3g29v2gKW/7
iSHhlm5WRVzghvlCjK/ePQD2zRWfuomPxWNp9V1bwtr80NtHaOJAnlYjBKn+DGDyQSOoP3j2NVZN
ZuL6Ga/1m6kKBG3GcMM85xtJPy5BGP8AGnXd/LeXkVzYyojSPsuEXDckMd2cdjknGRyvTOao6xI7
kqsQmhE7q/luwfOcHK9u/f3wQalczSuU7JlSLxI0sMIMUO2ZVVnEbMEJJ3DGQM5yCe5Fa9nO7XEd
qZJpBFtY/Iy7jgYGevfGODwvuaraTp9lNp88kDkyk5AKqchfvcY+XnGATk8+uavq6W13GjRssiEu
bhWyCDjGAepxjnrkn0zSeuwk2aF/G7p5Sh3Up8xwQSc5IGTjv7A8euaz7a2isrpLdf3JkHzImAuW
UjD4PzKQR7cYIPBrQkkjedMxea0yGPqQARyMYxg/MBggZ6c96t/9keCR79Vd/JLKm5suhABbrtye
cdenHcGL32J+0Q6jqcMeny2sV6DGyt9mkmZEA+YZQkDJTjHJPHcnNUDYsqCzeZncFWWNAFDnAxk4
6kPjB4PHOSc5+IEupLm1haBpzsaMykDHU5559fTjFXbyREeAJCFy7EENvaUngk4wfReB0Ax3rXW1
2VotSzZssNwDFJmNvnaRIi3lsQcEeg3LnI9OOeKu6gEtLKSczRF+DC4QK8ij5QTjAJ3BuhAwByBV
F5FhuXRWkkUqxkby/M2oygAZ7ZwPoCOeK6CC3mkt4/NijLoyiMjGRjkdsZyhJBJ4bPHFJtNWEpO+
hymqaql14bawsZt2pSR+ZLFjBiQ7d/J4wygZwTu3enNauk6laz6dDaW4EAjgMiQxnKvhiTliAM4A
GO3PTpUslveaVq17fSSxIJ3bzMZJmBXATOMqVAB4BAAbpXL6hqWrWusyyWFsSJlaIRtF1jwAQOeQ
dp57AenJcbyVkN33Oh8MyyabdzWN1G8tmqpIn7tSoB5A28ce5z6HrxbtryK4u3S5fZHMzxpMoIwp
bIB/DHHXqOoqtZ3F0dJtpSv2hok5VYiokYE8NxhcAEZ/i6gc4DrO3jsbl57izWMPDuOZc5DHPUdB
xjjr+dZ1qXOtdCHOzO38J3ipqzWSId0losxmGB86tz0HJ/eDnjp78d3cKsse9ccjdjOevX9c/lXl
Xhyws08YaTcW7D5riQGMkkgGCQ8k9furz7dea9YMyNMLYnLspcA9x3H9fwNaUvdgkyXJN3KIAHQA
fSo5kdsbfyzip3Qo5U/h9KY2dp29e1a7iTGjEUQ3NwByTS+Yn94UwxmQAPgAHtzTxGgGNoo1GaTF
Y1DSEqCeOOT9P8apzTNKhQfKhz8oORz6+tMZy7szHLHk0lNIRGkZVyTt6Y4FO3ru25GfSnU0Wvmt
uAJPrnp0/wDrUbB6kaxnfnlQp+uRUqoqDCgCrAtjxlwPXikb7NCcySjgdCf6Ul5A33DH+gzf7rfy
rmEbegcZG75sH3rZu9VXYYoF4z97p3rI9efzrCvJW5TnqSUnobMIItI9gAOwUBVuIsSqG5qKwlBt
ypIGw/p/nNKdQhEm35sf3scVopR5Vc2Ulyq5MkccA2x4Qk8c964HW7RPD95LKo83SLiVmljjbY0E
pH8IHGOOMYwAQegJ7e4uwAEgIeR+AVI4zUF35cFo9ljc8ybZj7Ecr69DUylHboLnUdjy2bQfPt5b
W0nTZas8toyLhZBt3YJzwDjbnsDnpmtPQtNhv5bS2efMQXbLuixuxweAAApAYbuRkjAPJGnZ6fb6
XdJbTM0yKd1t5xwiruyVzxzyQPrz1qPWbsWUUzRSTG5mO7coJlQkjIUk8HIzz3+rZzhBJ36G0Umu
ZG5bi3gjS0DoGjVd5dmUswTOwo2SCRzjPUkdq47xs1rHbP5l15csduY5UJyG3/dONuSQfMOceg6V
ZuteazgneJn8uYkFePMLZycnlScKhyMelUNclh8W28gVRHLtXC8IcA5U4Gc4JI6HnPToN21FalvT
Y8pnivJ3illuUWdEMqCUj5vmAx82Bzlj1JbgEd67awvbsacJCkiQbGYB4uWHHGARgnaeePvdPTnb
rw8t7D5EYliuFiZpWmY7FMeTvYYJyUDcZ/DpnR0pCdSlsZXffCxjVWXG7KjIIGcHg8A4/QVg5ubS
RnG9zejsJTCPJVY3eQlm+YHgt0PVfmJ/TvitbSIYYbI2t0sgT5gXRRnyyQOzYz6nj1NaOlRiSdml
SQrEzIHZ+pKKc4z23A9McfQgv4JdO0u5unCpPJGwV5Q2WXB4OOh/rznJxQveepolrc5XUUuNOYrm
FpIg0UYlV/lTnJ+bO0DIzhu2e3ELC5uUnKM1wYBhoi23zwcAKTzkAY4HfI7VsW+mG90l7lLr7Rex
oHWUEuxy2BkDIIwenbPPrVjT7Oyhl3tiKIY2xtncDgE7lyOTnrjH160laDsNtrYoaBpb5khe+YgJ
vESxnCnjqeh9Py4q7qMX2XTTNHFGJU/dx7TggKOhA9cAHg4JHNS31s9huvLYvFCjb5FjI2l8nhsn
G3JU9RjJ565mv7m4ezIaMK6vjZkYXJHHoo6dOhHtWsbXIktbs5S11i9udkUk1tGd5Jid0Xc527VG
8cgAHdgnGVPYAu1CM2kQdWEkUZjIgkXaynoGYHHQZJHbJ56GrWr20rm0vYhDKUXa8kvzbFKlQseS
PlxjoMDI685itdOuH1Z5ShJfMkoU733YJCAHgg9hkHjtk4y5pXuK99gu3kkWX7KRahDGyoiEshxw
SSAMAnoMZwc54qTRNJupQ8l0r+YMMswQqB0+YeowSfz+p1f7PjiEYZoEgVCsRH+sPH8XcdCOTgkD
nFS3eizQxmF5pf3eQwDHCYT07YDD6c+pzalyvUqTZReGeznUSPceQjmN5PLO4HPuOhOOOR3wcmlt
I3v7u1kuhADIpWOMggEHGW3FiFOD0PJx+Vh53soY7S8uzcPFCFiVHBTYMnBAyMDpzg5OanYRQMn2
aSadLheAx+bluQc8gY6duo6VUbPWI1qjMksnntjJYavF5EStJHCqoux8tkFhnOOOnHzDgimW93Fq
Bt1kgFu6zlJYklzntuLHtnAwfXk4qPTLKTTBJbwXUU8ULkvI6BVkyOmAzYzgdznHQY4mS3nt7iSU
w26bwQrRFsIWwcYz15yMY7U2029SLJos63Pbabc2mpQWv2hrWWG5AWTH3GBK5544bnB65+nqGo3I
fUYp7eXJjXhl6ZBz+NeVOqPcKlyF8wxnMZ2szjsQO+eevv8ASu/8KTNq+jRXV2ytcIWhmTcCRIpw
SwHQnGdvoR26w+aWiM6kW0kjrSRc2sc0a7QRnHYeoH8+nSq9Lp90SSrfNGx68dfUGnXiG2fOMqx+
Ug1utirPYZRVZRI8ucsO/JOO1WaE7g1YhlgWXIJI3DBx3p6IVzli1O2jIPp0padhXHxx+Y2M4Hc1
HeXwgHlQEbhxkDPPoPerE7/ZbX5fvngfX1/D+lZlnEXmN22SM4jDDqf731/r9KiT7f15kSbvyoDb
3jIkkjR+YB0fLMfqDkCqMkM4JDxt78cfpxW0GDZIOeeue9ICGGQQR7UpU3JatkukjFFtOwJET8DP
PGajPDFD17g1v1Uvrbzo96g71HQdxWUqNldClSsroy6T0/lS859qu6bZ/aptzY8tOoPesEm3ZGST
bsghAsrf7SwzO4IiUc49+eO9UmYkszHPckmukudOt7pg7hg44BDdvT0rIvNNa2mRISXEhO0Y5960
nBrbY0nBr0Mq7tYb23eGZQY3GGPfH/6s/nVC5s2vlKzShbuBS+5zhWXkZDY64HP1rs7TTYraFpbk
Kzkcg8hR/jWBcW8ckyFkYGN9yjPIppONubYunJ0vi2Z5vcW9zLepZPOyJDIwCryODgAZzn73f/ZP
BFammaeFMJUbijEqEOzceBgnGQPXk9fatzX9EsLlPtkEpjYMFlKn5kJ5K57Dv7Z9DTY5xbPJFPBu
bgqFILE9RgkqcZBOfbirmmzquYd7pRS8MRjgWYKZjgY2kPzwpx3A54+XvzWeIdKj1Vr64tQ92Zcx
SiMK7Zx8zHnn8cYOKg1fxBHd6giSXHnq0hZ3ikwUUr0Uegz1xyelVdPglluGCxs0Ik3LGz8rn+IE
dTk8jGMH2wV7G0eworSx2/hzVbQ2V3LOGSQNJO+HOZAGwqjnBBA6ZBz69pr2S11C1it8Hy5CCu5A
+9TxjGeOv4HB9qwrRAt001qUR3j/AHgLHdtO0Eke5HoMfjU51KNdRVbXEcOxY9rDdht24AHpjOSD
yOoNChN2sDdiHyl0rWbnEvkxKAqopODuAwDkDgbt35e+bLbZTscs7jAX5QdgPIGT1PKjn1/Ax66P
t0rNsDRzKDIyPkblOSPUDCj6YPvUrXKMyN9mKkOzRxyDO0fMAc7jkDIJHrx25HFsqDa0NK7uLfyZ
vtyh3VBsWVCwkc8r14GMYJ9AMZFY6Iot4hO4ZZD5iKoJK4IIIXORz0/Ci9uG+zyXEvlbwoyv8TZI
HAHXqemTgHPTNUSs8ORZnLzJ5hRkx8pwCQw7ZX6ZA4xVvfQmS6MhuJGtYWmdjsZm27Qpy+c4y3bG
OeDg9OmZLS6trsXF5dPtdX+QiMZySVIAPQ8YAHGSO44ZcySxv9qmZSsYDQoRk7N2WLNjuBgd+eKo
aZerbXUVujAx7vtModGkD47nGRgYz0HTkfLUzSZKaubJt2iuIXaY26yvkMWHTI4CjHJ25x0IH57E
Zgmt5IrNVmSN/KG1+SQTk4xkdf8A9dLbKTavLKxLgeYRwmTk55xx94nv0z61XitIxK8bXCK+xHIj
Uhlk7c5yMHedvfPfBprlauaMfAJSQrotsjcsAm3I6c59gcHp369c6S4ie8uba3QCaHZtO3KksRgD
aOAP8M89ItTFzd3cKNG2yIlIMufM2gH5OmSSvXPXGB7z3WoxXFpfR+Y7wOg82KONAy5xhV3Hj046
9eMZNNuyRFrGbpxW6tVhX/Sjv2tuZTuJJOSQO/H+emrFaw28USxoAWAlbjJGOMZ79R/jWVJqYa7+
wXu1S8Y/eR8qDgkFSCMjBGcnHHA9bJ1GFo2YW7sIf3EjZIHTk4wMemPrVctk2NNIWeSWeWctbxAN
8hZhnK4I47en+eB1fhJp9O1q50q8PmG5jF5BN7qqRumc9h5ZHyjq1cZK11YMstlOsBKkvMAGyrA5
GMdffqPbqb8OuLLL4fvbAh79NSis5Ccpuim3AowGAcbcjqMgE9TmvYuKU+hDqJvlR6yc4OBk1Pbz
ieERTkZ7N6H/AD/nNVkdZEDKcg0IgRdo6Ubk3LEltIhPGR/np61DUdwWeKJRJKnlyB1MbAYOCOcg
gggkcg9iMEAiaO9tpIkdwm4qCdynP8qAGMcKTjOO1R2z5chzkKRnP608SIV3bhilVg4yOlG4yPW/
9XGMnkMOPwp0a7LeNUwcICOwyRn+Zp+qKZLBX2jIIJ9sj/HFU9PmeSNkdshMBfYelRe0l6fqZbVH
5lvB3ZzxjpS0UVoaBTljZ/urmnRxM5B6L3NWwAoAAwBSbAzJNKWU52bGPdSK0IYlghWNBwo/OpKK
iyvcFFIKa8iRrudgo6ZNBkQSBCw3EZArOmguJLhgcueoPbH9KCkiO+vUbBLbYwcAnuTWddMmVwCX
PHHb61cvrdE06J9jI4bGCeuef6dKyz6ZNY1JPYxqz+yRzoZbWSAudrA4Po36fSvNbjVLq0W8aVTI
U+cAHHmEkDr1Hce/sa9MZRIOR0OQD6joa5bXfDW6OeeFS6yZmaJOu3PzgcZPGOP8a0pSUo2fQqjK
8bPocI4sprNDYf8AHrMuCXfLStnGJBnr1BA6HkHByR7iG2WO4aXaCu0qo4cBSCC3TOMDgkkc9+am
qWFzDNE2n2zRQGNTBEsTqJWOVyrKoB6kHkZPPJXFbKaDquqaSRLp+JSeBAvGSTlu5bg+vX6cU6iW
i6m/MQ6hrrRLHcyFVcwFCFX5RkZKkdRndnA9O/WrMdzE6291axeX5jKEeTJ4bB6Dlcg/oeuK39L+
GkkkMLzQQKyDeQoZ1ZipGDnOV5HGQRjOc110XgCGHT9kWw3IGV80YUNjAAIJIA6cY9fUFJyatYTO
TguRJuml88AYMfygbT2PPHBOfft1qhe3hSQmeN2Y8dAcqSMZOBuA/E5HvXYX/gy8icyRObghvlcD
D4zzzz6n86wbvwlLKRLO8m53jdG5DIBzt4Pv2P8ACBzilFOK94cXYyr1YYYre7vpmkWHMbYJLFc5
z8oxznHXIyPpT7OWMWDlbdSgVGZy77mBxhdnPQ8c46jvxVpI7meZrW6Qo6jcrMv7vAHuSemePwxV
W3im8zaiMWl3RnZj5Qe/IzjJz159z0lVL7IctTOmjZlAlu3KiQeXCMSuG/EEZBHGf7pwCat6ZpSM
3nPCswVVZWZcKgyS2SCcHA6AN7jjma/0d5IgpyI0kALbW3OVJ7nPAH1xWnbootg0YZjHtRdxOQD1
4wMZwv8A3zScG3qJRVxmmwtAuVmWSQkBI0DBFVR8pHIJ44xnBHXANRyXCWkm+GJkb7OpQHAGVBIG
M4GST8v9MVI00oEUCth5Hba0g4QH0PYHbj14HHeqNzJcWM0comTzZCDHGjcbsDtk55OT2+pFJcsd
ypal6R5JY2W4EgYKdqsdo6Z9Bnvxz1x2xTZ2TyZTbkzeUSkZmZgNxIYnIwM855z+HNV4NZNl5809
uzlcFzbAmQudyjqMZxnkYNZEevS6rE8XkC3JYxqXfBXavVwOnQjt1P46w7mclrc0vMudYWOBnjia
NVmjWRSN/JBTr37nBGCKdKnnzYnuGWONllVSq7fmVy3KkcAA/MewzzxVfUxpNzew2cVtcRAqX89d
p27VGFVgSF6Y5HbtjNWLUOLadZbeFII7YlH/AOWoPVA3XcPlJOMZzxg5qvhdmPRoqX9uwhEUYkJZ
trbzhmHIyVIBB6deOvpyeGdHZvHvhoXsSmCSWaSNRKSd8Ss6tx0AYDvyQcjHUvPs93ew315c3McL
wF0t4XwdoJABy3zN0J5B7VseGLC91PxJHq0bNNp2nxywWrHeZGkcLuccY2YZ05J5BPpinXtHkRnO
Kj753k1xIl3MY3O0yEjacg89at29+jqRKQrAZB7N/hWZsYcbSoHYCnrBK7BQmc8jByT+FcsXUT0R
yqo0zcMZePO0lD35FKtswX5UOPrWTAFhf5rgpuXOUcj+QNNnMBkz5sr8feyW/XFbc77L70a+202N
IQkK+SNze3FQzb1VV3CMAnkvjNS3TmO2dlznHbt2rFZmY5OST1JPNE6vs3oh1ZdDbRkfT5YpLpGc
nI+fJ4wcc/Sq+nKBJPGDkgBl9x/kiqCwOWORt52ncen4dasLP5F2r7t427WOeoPX8e/1pObfvSVj
KM9UzUqSGPzG56DrVRry3TrKPw5qeGYfLIhDKR+YrXmT0TOhNGh0GBRTUcOu5elOqSwooopANMaG
QSFRvAwDQ0iIQGYAmmSzCM4HLfyqpliSWOST1qkhXE1ZfNsvkYEowYjPb/JrAHQV0FV5rOOaTeSQ
cc7e9ZVKTbujKcHJ3Rj5OMj8jWlYW1xNAV8qMwk5zJ698f5xxUiWEKcnc/8AvH/CrplbaFB2gDAC
8UqdKUXdipwcXdmRH4askkMkm4KU2mNyrk/p/PP4VpRwW9uu2GIYIOS3Oec9OlOorosbNtiMxxjO
SBwKYrN5ZLKWI9qfgZzgZ6ZpHbYpYgn6UCLlscxnrwcCpHjSQYdA31FZrSlNjqduR1P8qtRXLYHm
L+XWpGVb3w/Y3yuJVb5xg89v5/r3NZEnhV4YEgt2Hkx4IXJH8sccdK6Nbnn5l/EVOrBhlTkVPKr3
KUmed6lpd5HCZJbMsB90RAcAkfw7eD16dzz0rm7qJxdPJOrrEgKBNhAPI559fT6mvaSM9apT6Pp1
yf31nG49DkD8hxQ0UpHjk3mC5dXRxDIqkkkb8jpgHpnPqMZ69cKxjZ0uGLoryBAHlChWDgNtxjjC
854I6ZGRXo914HsLmdGLkQodyoykkNgDOQR2Hp6dcVn33w9gly8Vwdq7nWAL94nn2GePfH0qJR7K
5XPc4t4bTJeJW835ipjwQnsMAjGSc9+Qe1Yt9MYrh44ba38u4kwgCEFzu7gnGM7hnB/mK9DuPBWq
xSSNazqyYbaFOxznGQTyO3X2/LJvvDOqQoimzIOdwZMfKc9MAHI9vz9auO2xKSOfaIXMpjijZIWf
96XOMZI2j0wRx05xxyBSRapaRaxE9nIsFpNGUMYO7dnLM+DwWIxnIwM/XL59KnsJmiiXyVZx5iSN
uJ5JG0knGBn+WagvrWwaxkcQNDJbxSIwEhXeG5OcNnLYA/DjvQ0pMNtQvTear4m07Q4dy27qXLby
WiiHU5GR0ACk98eteoRvHbwxw20MMEMRJWONcKueTgdBzz+NZHgjwq1naXV1dsIb652vcfNvCKMh
EHQYVep7nPJGK6G5sRBbxzxzLKjnGcYrBuS+DY5KsnPXoVnldiSWA9wMUPLJJgO7sB03HIFMOeSB
k+hNHrjrWTk3uzEXFNAJ+63A46U6gdOetICdnuJwBKXaMNk4GP1xU0MLSyNFCu0qCJHZvl/T3+ua
0L7T5YpP3Ekcak5wydD7EDNQWtubZGLNlm6gdBXUotOy+80VNuXvC/2fBg+ZNK5Jz8oCj8qjbTYS
CAz8juQf6VP53KjYeSRUtaezi9zb2cexgOrK20nBU8ilSR0zsd1z2BxVnUItk+4AhWGcj17/AOfe
o7e3e4YgEADqa5HFqVkczi+ayNu3nIRXx8rAEiroIIBHQ1nooRFUdAMCpoZShCn7p/Suy2h1ot1B
LPtO1MZ7mmzTbvlQ8dz61BQkO4dTk0UUVQgooooARjhSfQUtI/3G+lLQAUUUUAFFFFABRRRQAUqs
VOQcGkooAnW5I+8M/TrU6urjKnNZRjkDlgQecj2qcEg5BwamwzQoqqtww+98wqdZUZS2enUGlYAl
k8tc9SelVfOfGCcg9QR1qOeZjIGIG3vQD8ucEcdKpIQkkNvKhR4ECt94KAAR7jpWVH4XtFuZLqBY
4zt4BJ2qQc9/u/yGKvOzPg4IIOABU4PlIDk8Dr3pWT0G1pYz7aSXTbhkuYXVXBDow69QCOxqZtMh
u2DWcyGIn51bqv4f41d3xXsJjuU+XPXksvH8J7dB7Vn3Onz2bC4t2Z4xyCv3kGP4sfjz0rncHFd0
YOPLo9UR32n/AGNVYyq4Y4xjBqkc5z1HpWkL+C6WNb6EsV/jRiOeOwx/ntWk9hZXKblRBkYDRHH8
uKnkUtYi5FL4Tm+c4xx60tXrrS5YZlWFXkRuQQOh9DV5NEt9g3PLvx820jGfyqVTkyVCTL6XaXVo
N+VyMbyPun39v8nFUZbeeO4HmhlA6YPB+lXrVMRqAPvHgCkuzNLAqW3k4Vg22ZW5A7ZByuemcHGe
h6HsOooSRCQejevWnqNqgZJ9zU0kMiwecq5Q42jPOfQ5A78VUWKXcDIWBBzgjn0pgJNb+fEFc4YH
ORzTLS2e3d8uCp6Yq1RS5FfmI5Ve4ySTy8cZzSxsWQE9aSTdt+TqP1p4zgZ60y+gwSAluCNvU05W
DjKnNJIpaNgOuOOcU2EMA2V2jORT6h0JKKKKBBRRRQAjYxg9+KTcf7h/SnD3ooAb5gzg8fUilBBG
Qc0xoUY5IOT7mnqoRcDpQAtFGetRiZDJsByc447GgCSiiigCJZSZdhA64qQMGzjscVAyvEu7eOuM
H0q7p2GYu6gBe4xz/ngfjSTHYioppVvOyHymMDPX606mIKYzMHUAcHqafRQA1wpQ7l3Ac4o3bkJT
rzjIpVZXfbvUHpzVz7IjDbHhCOgxwf8A69IZSXhVViN2PzNKy7lIqCVHeQq6FMdQ46CliZt2CSQe
9FwsSxxiKMIvQe1SxzPCco2KZRTENuNOgvAzwbYJuMjoh/wP+FZBFzY3JBDxSD9ef1FdPGghiLEZ
C8tz1PYfnWfcvFdylZ4x7Op+Zc9vcVhOnfWJEqd9UV7bWnGBOodf769f/r1sxSLLGJI2VlbkGucu
tPltsMSrpj74qsk0iLhJWVTzgE1mpyjpIhVJR0kdTPL5UYVciR/qML/kf5zVUO4x8zcepoorrNix
DdbWXcT6deD9RUxiWZMDG9uTHkfL0Bx7f4/hRRSfYZUkhZCSOVFRUUUITIZXdXB/hp5lQBcnqMii
ilezKtdCo4cEgEYOOadRRTWwnuFFFFMQUUUUAFMWVXOBnPvRRS6j6D6rs7CXBJwD0HpRRSkESbhV
Z+cdT+VREDb+64JbPUd/rRRTYImXO0Z645paKKYhqhiuHC5PYcirzHyLXZjDtg5Gf8+v6UUUmCKd
FFFMApDkqQDg9jRRQBGsIHLHJz1q3BIQ4Qng5wKKKLaD6kt1gW4VwTkgJnHA/wDr9PwqnsUrtwMe
lFFCExiEKxj3MSO7Vbt0Od5BwOnHWiik9h9R124DeUpOB97k8n/IqrgZzjmiihCGAN9pDEZReRk8
fz/ziqlxprNMzQvhG5C4+77UUVE4KW4SSktT/9k=</Data>
</Thumbnail>
</Binary>
</metadata>
