<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20241009</CreaDate>
<CreaTime>09591000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Macroestrutura_RGP_MZ_RevPosAud</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_SIRGAS_2000</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">TM-POA</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;TM-POA&amp;quot;,GEOGCS[&amp;quot;GCS_SIRGAS_2000&amp;quot;,DATUM[&amp;quot;D_SIRGAS_2000&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,300000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,5000000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-51.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.999995],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]]&lt;/WKT&gt;&lt;XOrigin&gt;-5323100&lt;/XOrigin&gt;&lt;YOrigin&gt;-5002100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20250827</SyncDate>
<SyncTime>10002800</SyncTime>
<ModDate>20250827</ModDate>
<ModTime>10002800</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.5.2.57366</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="por">
</languageCode>
<countryCode Sync="TRUE" value="BRA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">pdus_anexo03_macrozonas</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>PDUS</keyword>
<keyword>Plano Diretor Urbano Sustentável</keyword>
<keyword>Lei Complementar 1075/2026</keyword>
<keyword>Macrozonas</keyword>
</searchKeys>
<idPurp>Camada geoespacial que representa as macrozonas do Município de Porto Alegre, conforme o Anexo 3 do Plano Diretor Urbano Sustentável – PDUS. As macrozonas constituem unidades territoriais de planejamento e gestão, delimitadas com base nas características urbanas predominantes e em suas funções estratégicas, servindo de referência para a formulação, o monitoramento e a avaliação integrada das políticas urbanas.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="por">
</languageCode>
<countryCode Sync="TRUE" value="BRA">
</countryCode>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="0">
</identCode>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Macroestrutura_RGP_MZ_RevPosAud">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Macroestrutura_RGP_MZ_RevPosAud">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4">
</efeageom>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Macroestrutura_RGP_MZ_RevPosAud">
<enttyp>
<enttypl Sync="TRUE">Macroestrutura_RGP_MZ_RevPosAud</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">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">NUM</attrlabl>
<attalias Sync="TRUE">NUM</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">NOME</attrlabl>
<attalias Sync="TRUE">NOME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NUM_RP</attrlabl>
<attalias Sync="TRUE">NUM_RP</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">EDITOR</attrlabl>
<attalias Sync="TRUE">EDITOR</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">DATA_EDICA</attrlabl>
<attalias Sync="TRUE">DATA_EDICA</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Leng</attrlabl>
<attalias Sync="TRUE">Shape_Leng</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">OCUP</attrlabl>
<attalias Sync="TRUE">OCUP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20250827</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztvddvZHmaJXauN+GDnumzsnz3tJnunumx2N0HmRdBAvSy78I+
6J8SBEhvellIwGIASatdQbvTuzPd06ZMV1Zaehs+rr/C+W4Eky6TZCYjGUn+TiEqybA3gryHnznf
+cw8z3MoXBh5nmGQ9PGk83ts9J9jmPSQ5dmZj9M1A67po2Y34Rg+VntPEGfha+9ftmr40dxfYcZd
gq7p6ielcKNhXvUBfIhIshitaAfP2t9gN1hHmA7ORVZElqcYJn3w78S852HRv4OdYAMBr8PJvx2D
pItWuI2yVYdnlibwbhQUPhwowjo3csRZjH7cwV6wge3hKrYGa0jzRG67aHQWpAPsBhuou3NouPNo
hzsYxN0TpEUibId7mPUGirAUbjwUYR0DCYIkxEgoySL5nhFVnEXoJx3sB9tCWCSu0yKii5BWL24h
Q4amM4+aPQMNmrzG8Sy9H7cRpcGN/2VVUFCEdQxB2sdesCUEMUz7SLMEYTKQrxkBhenwnYiKpKRp
GgzNhKbpSNJQUr6Gu4C6MycEyXrY4dcI00BI89pi/Fa1Kz4OhamHIqxj6IR7+GbvHyT6uQgJQRMq
Kr4+OAt5PaBDF3Jiwd3QDFi6LQV3UzORIxMSHMZdVO0mFvw7WOk9lohujIK8rm9vJA0SZHEG3dJh
uIZ8lgoKp0ER1jGQVEz97I/lgJ5GRGQbLhzDFTLirWkeQ4MOU7fgGj58q4KSWYFvVeU6ppZRFsDS
TNimB0uzkeSJEOWst4T1/vMTr3hd0f7DNoZrXfjLFVS/mIXhW1d9SApTCkVYxz8QEgy7ceHOqR+Y
pTso2zU0nDlUrCZ8qwzPLAvJvYquWKMaRUQSeUFSyl7UlnQzzSM8bX/1Ks3TNFi6hVlvGculhyiZ
VbTDXQySntxMMjTOQaLTjCxIwI9Edw1JiQV5jqQfI9oPEO0OEbdDxL0IjT9dgulboIojz/Li/vr1
JWyF8+PDPgsmAMfwULUb2Oy/OFJHYio34y1iyb8vUVI/aaMXtdCJd0fklEu9K85jKdjzOv7Hr4k0
T5FmsURjJauKxdI9uZ7pYD/uiqxhe7gGQ7Nwp/IxHtZ+gK/3/rM0AGzdkZrXBwW+/xTQDA1xN0T3
m13EnRD+vRrKHzWQpzl63+1h8LKDYKuPLMmoF8HgRQdJN4JVsaH7FpIev3bkcc6sB00R143GB3YW
TB6u6WHOW5ZIiFIDko5vVjDrLaJqzwgBrfWeoBvvSzGc37NQLvSUZ6OveRmdtMdqTxR/kqSoqWI6
yRSS6WLFrkutyzfLQk48hseGgyxJJcIap6nj1yHxTSuyMMVgtYPhShdW3RXS4dfJIEYapMgikriG
7jc7QmJCVvmrelaw2Ue0N4RmGXJf3TYQtQNUPmrAv1sTElS4mVCEdQyMcGrOLB7V/kTkBCQIRl38
txvtYzfYRCfaE8nDGFlG0SjrWUVtXL7XNGRpJtcZZpEGMeqKU0ZhiZAWk8Wi9uXBNhwhoSzMYOo2
5v3bcHQXkRbIbTwugq9LoqQCfhrByIkk1P79DsKdAcyShTzOkIYp8jRDuD0QUmKeHO0FQuonniPL
5f7ghZ9vVJCcbhmwG66Q4OkvztfPpIBvOIZKI68hFGGdAlt3sVi6e/A9o6gX3W+xNVhBO9o9cf/N
lztI4hSliocwiLC/1cb87Vn0Wn20djt4+OVdVOtltHa62NtswbQMzCw2UK75Qly8jGHoFqIsRN2Z
kdSRuixGXPqo7sMIjpKLUDqN3sHjGNUlWTKqi+VF3et9pJHkmywvegK6JmST9GKJkkhGrEsdRhan
Ej1dFCQskl3/RQdlUwcHC9JhLCmiWbahOwbSQSzpJV+/dKcKs+aoFPKaQRHWOcDoiiRGAhkTzOFU
78kfXqCz38fsYgP9zgArT9bxl//Vz/DsmxW8+G4Nc7dmhJzWn23i8e+eoz5bxaA3xGc//ehVAXoE
1rkY2TGKowJ+J1iX2th49IckxAJ8K9zBvHdL0kpGXIOkI0V9jv3wiGvODJrugkRrh5sB74T8EEHx
X5NhUgaEGVkemZEj6YaIWsFEZBhxK0Dv8b5EcXmSSbFeMzW4i2XYdVeIsPvdnkRYjMTMqnPpx6Bw
tVCEdQ6QJJbKD+DbVbzs/FEGljlaM4au64iCCFsrO0iSFHPLM1i8N4+NF9v4+T//EzRmqxJ58FJt
lrFwexYvvlvFZz/5qNBpaboU1okoi5DkMXpxG/P+HXltzhNGaXjQxWT0tBdsSkGeqSLJ60n7d9gZ
clQoledj3e3LmV9gzrstj3ktDvPKKKUtLqMbxiOS4+vTHAgY3gCoGkAnBfoZMi9FGEfoP2uj/7I9
EdkYPz+mmbwcBgv1IoVgdDeM4S6UYTdZoL/8Y1C4WijCOicYpdTtWTh1T2QM4w5egRxzy02pWe1s
7Ev01d7tYP3ZFn74y8/gV4rUbXa5ifZeF9/99ikqjfKBtIoyhge1L+Q1XvYeS4TF1I51KpJNO9oT
iQOjLJIRa1sUmJI0XZQpSz1QzrM1x/vx/s8630g97gRhHSaldPQ1C9laDiQ5EPLCrt3o+2xEVGPy
GkdY7WSUDmoYbHXRWtk7QSbvA+Ma1xjhVh97f7+Kmb+4DcNVv+LXCeqneUHQGoYFcbo1rHQfy3Us
qrMmtXB3DmtPN/G7//AN/uPf/Vqu/83/+xW+/MXHkgay3sIowXZtfPmLTw7Swaa3iKa7KB1DkhDn
FLURCZmahUHalflF1rWohmdx3jNKMofIr/n4btwS0Wkn2j+ou+0O1+UY71Q+kfsjzoFBCgyy4muS
0DgSErnAiJQOR1iHI6XjURMfL48talOHSeMqwWPpr3RQ7YSintcMFWpdFyjCuiBIJEy37lY+wVb/
pYzQfPqTh0JCru/gzqMlVOpl5NI5LMisVPbkcbVmBV/8/GM572vNstxOGQNrUayPMWIbyxUKBb0m
3zNio41N3ZkV+QMV9LzdkBCNxFZ8dVxCQeU8iUw6moELdFNgOErnSEhH7j4qnL9NKqcVnVF26KYC
fGtxJl1Iq+bAUIR1baAI620+NN1E1WpgxluSzmG1WZHrGTGRtJbv+hLRmJqDXryPTKPMgZGVBdux
ishqVLtaLj88SNuSJBKNVaHPYk2rKJfzMoh7IqlgIZ7ODgVeFdP5nMeL67yuYjdghibQK2pNB1HR
aXiXupO8pynSR3HA3DNVl/CaQRHWW0GT7hvrSEzVXtWyRsTBk8U0sODfxly+WLgt5HGhhM9CBMlA
TqgZd1GiK2LcCZQ6FXSZSyTG0tMsT9AKt7A9WJXa1nHJAo9nrNUqjlCDa5QwYy/A7llFGvgmsnoX
5FPGV/z8XQNW1VHp4DWDIqy3BFM12hazAE9jv/EIzmFXUVrVcOB5nOaReuI0lFlFEgqJh7UwRk6M
mlgfI9kx8nIpVs2prhoXlcZR1gbm/FuHoqwCjMgs41Ubn8/BaMzXyjAijYyISWKa5v2ohOc4j4qw
rh8UYb0lSAgcgmYBXuxhRP/0Cuzyvex+J6keC+cUefJrCkMLwWeO9f5TmSMkwTHa4gwhyaxk1YQI
icNmfozkqM9iGnqcsPg4khzBlJLkxwjQTMxXncBJQZx0ishyGjAWk6q5w+sHRVjvAEZJLL7Twpjq
dKZ1x0HiShAf0W2dhla0i1o8i0X/Lu5XP5PCvrzGMQ7g81CDRZI7PE/I4j1nEgt7HEv0V0v+PZh9
EziUsk4KcpxTQlhSH7Snd9ZS4e2hCOsdweUQdyqPJMqic+jbgp08kUnkwKeNn0h6V9TGjivhE3E+
7SddVGSesLidJEWSY2TG6G+pdF+eQzOLucaJhlh5Dk2nfGA6CEtqiJwlnBYCVbg0KMK6BMx7t0U7
xYI6/31bcEaQMoRB2hc1u2ixRLxw9MRjXStKAuRW7eAW3of1sqY7L+RHE0B5nKMD7yPY0ItUbGoi
LJdC2qs+EIXLhiKsSwAjmdvlR3KmvOz+UcZq3gbSD2S0MvqekZJESSMF+8H9uBgjjw4eMyY0ShhY
t9oPtl5FVAzSJi2PEgnXyK1iGsDGhaN+ta8j1E/1ssSkVgW3yg/l7H3e/VbStos+CwlqXKR/dd3J
CKtIAzXZh8iIrmw1Cntmw5HiPb22pFhfWJ1OTs5w+Ih0bWoiLGlYWgz5puN4FC4PirAuCZKS0UnU
vycdw2fx1+d6TGGvXHQOSXqz7tKBBos4bTG3RF6cMQx3sdL7XtK/Oe+WiFXZLbQNKutpb5AXYlHO
A04YhRj27QiC77EXFF1W13YwCIewDAu9YQ9JlsI2LZS9MmzTRhgH6A378B0fvuNNTWdS4f1AEdYE
SIs1rfX+syM+Vyfuq+komWVJJR2zBM/wD+QMh91FucyCKeDhx3HmkHY3G4MXInHoxR0hSbqUctZQ
VPL5KLriEPP7mJjRXmmxDvYGnRj/OR1JmuKble9ENHt7Zhl/XHuMu3N3MAyH2O7swnNcPFy4h3qp
jla/g9WdNURJjJ9//BNY5ilOFByJjMf6NUVo1wmKsC77A9Ut0WeROLgd+nXg/N+8dwcPaj84ElG9
Aj3iYynEF+LRV4+jxso0bKmVsZO4H2wW/vLhHu5VPxVbGi3XChuY9zTep5sGrJIDt164icrmoDAW
W2QOfL8JNB78bu0x9vtttPtt/PrJ7ySaWqjPYau1hXq5jpROojQvTCLs9fbx++df48cPf3gqYZEn
ZRD7+m5Gu7FQhDWJD1W3xUCP/lSvW7rKtI5LLUhAp4HRCUd6Ct/47KCOxefm2jD6XhW1ruJ6dig3
By+FMGfcZZi5MYquTrEgpj9pmiFJE9iWjTjhSjKtUOIniURKtmXBNEykaSq30/PLNK0D59PjsBwL
1eU6ygvVg8ywt9NF58leYYl8BhYbCxJNfbv6GEvNBXkdz/bkdR8tPcRiY16Oq+ZXJW2sl2qvTwc5
IRBzEYiKr64bFGFNAEzZuMV5TAKnQxPV++tOOj6q8I0vuoAic9A0Wb5KZzoW9Vm/Oj4SxKgsy2OA
hPWa2lWSJNje28Gz1ef48Wd/gq++/waO7SCMQjx+8T0c28VPP/8R7izfxtbeFr7+/o9o1hv46O5D
VPxCgX8cekYPCfqoj8aQ8hym+/r3dxysSc1WZ6QuxciK3vd/9+v/Cz979BMs1GblPmmWwnM8PFr6
CP/09PeiSTvcJT384eUjP3iF6wVFWJP4UHVL5vgoM6Cu6jCpjMFT7HXR1fj2cTTFuti96mdS46I4
lWp3y7ALMjjESUwVy3Rn0JzChO+w39UhRHGMJy+e4n/+1/8r/sd/+a/wr//P/x2ff/QZ/vKnv0S3
18Xvv/sDfvaDn8h9GaXMNmfw7ZPv0O338Nd/+hfn/hx0Uy+6h1zAISzymvtpOqp+GT+6/6VEWlvt
bXQGXez3W/jd8z+gPejgk+WP4Nounmw+w9ON53iwSGGsdar9M8lSorpTGhYKHzYUYU0AEhHpDm5X
PsZ3rd8gSk8SVpbnEiVxIet4fyFHncebpIt5wJJ0DqvOjERsHL+huygdSBlpsbg+3oFIsNNY4ngO
61eMMF5Tv5Kh6jzD0twi/s2//zspeterdUn9eCy3Fm9hvjlXpK31JvY7LTi2LcXvc38GXA7r2ag+
bIr/ehImCPYGI7/3o7BME/fnufRDg2PZEmXxmJabS1Kjci1HIjBD1/Fw4T6WGouwDBOWyS3bp4Bb
d4YkrHMfrsIHAkVYEwLtXzgXuNr7XuYJj0dZLJbTDpm1Lhad98JNWaZa7EBcQs2elQis7s6hZjel
ME8io2RhPBht6zaiQwsxGI3JDCKJivWrNx2faeDLR58JGbmOK5cX6yvY3t/BT7/4idSviG6/i6cr
z1AplXFn6faFPgOLCzNq5YOoTjbmnEJY4kHv+Affj7+u+sU85WHwutOuPxFhDdldVYx13aAIa0Lg
SchoZ7n8QPb0MZo6XM8igXGI+UXnjzI4zVSPMghGVfRjv1vRxBKZEoliZVfRDRvbzxQFZcZbtP/N
pG7G7qTsK2QqyJTwNecrI5VqqQr7toUvXR8rG6sSyWzvb2O/3RKSIpExuiKJ7ezvwtCNAxfVc38G
uQZ9RHwM+gzrPf26MRtml3DsPa+UDdcGirAmCEZEVL+TrDay5yccG0haq/3vpePHaIDEROKhlIGS
BUojeDn6GO4fjItoyqqIDXKQ9KRe1nAW4Oo+EORA9ProguS0OLsgRezZxoykg0EUwnNdlLySdAp5
G8GOHIvtFG+OV4291Wdh6LIIVeNOQW56niBE/pXQsnm8bUMx1nWBIqwJgxtxbpc/EhKiLotmf4dD
H8oWWKRnYZ21qrHhH6MuShXGQ9DEuNYl6710EwuluwfiUo7ksB4m6SB3Bb5B+2SaJuaaReeNuLWw
/Nr7fvHo88vTabmmuCgkEyYsjl7SvG+sB1O4PlCE9R7AgvlS+b4QDXcIHtS0aIOimajbTSyU7kmU
tTVcEZM+Ktm5VqywPi66iXwMoxwxAuS2HGcea90nUmxnLYzppKSCXDQxZeCCinzUOZwomHq6Jiof
NWFwAFrx1bWCIqz3ANogk2yYHlKFTkEpiYu1KBrtVe16cUcNYrrHSElEknZD7jOGqN7zZDR+Y8vW
4xSJpIMsttMLHqzd0L99ipCbwKDVR3etjahTuExMCjTuc5fKqH45K+mnwvWCIqz3gLJZk5Vgu+Gm
zAySkFhMj/MInWgX28M1cS6d9YrUbOy0wLRvHCKIQHK0TYcRFSOt/XBLOosL/t2ic8hUkNHVGaMw
7xWmhu5OG92VFkJ2CCfYuSNBuQsl1H+0oJZPXFMownoPYB2KKSEJamuwOoquDJkR5FIKElCxk1A/
sQ3nuLYrZ2TFOb08QyvclftXrLpIHDAcUD8A6N70kBaDvm6IuBdOfG+hVbXh36nCrjsqFbymUIQ1
YQyTnqRqlBvQmYHRE7VZXMA6BsmK1zGKmnWXxc/qNPAxTC2lVoVc1oXRzobLVY1gAOyvAL0QcO8y
NypyMeoJxs2yK0A+XiX/Hjy52IU0S5aKrq4xFGFNGLSAYRTFdI+1J+kYZgHWes8OWIRF+O3hOqI0
RJxGch9GZYcxSLqSOtJqhtt1mB7K+I9VL9bQ770Edp4VUZbfBQwfsOrMkwCjDGhuMV9IAnuPkL2K
57SZeWcfd9eEWXqN+l3hWkAR1oSxM1zFfrCDKItwz3Ckm7dceogdIahXqm8OOrMmxVzGt8oSOY1B
nRbTyI3+MziGL4TFlFLWeHGAOhwC7U2gtwtEARC0qNIE/CbbcgCL+kYdsJqAQSX8KcXoCRGKNp4p
NLTDLs+XD73Y9GyUTvHHUrg2UIQ1QTB9KyxiBtgcvEDFruFO+WNJ4djVY0TFuhVrUmPJQi9uYWvw
UsZ6xoUY6qyYNnIsh6klXRH4GCGrJAH21grCIlkRjGiSCOhsFN9ra4BTAuoPgNIDIBv/2AsPeUkf
+auQT6KrpknnTjp27GBOClqResbtUOp3jLZUl/D6QRHWBFMhRlBBMhwRUVuWQ7BGRcJhoZ1pHdNE
aqrozc7RHBIXiYxp1NiaxdKKJReUQPD28fUiKCVRrXwFdHbfcDAZEPaA3jqgcWU9H8xuIv3eY6By
C9AXgfT8w83nRaZliAcRsnAyuxEZuRUfR45gs4csTOHM+ijdr8Ge86fGZ17hcqAIa0Jgrakbd2S7
zXgbTjduo82FqfasFNa5qfknc38L1/Twzd4/YK3/VJTxM+5SsSlnhDFBjTc7H4CzfS//UKSCZ+Vb
jKR623TVO3kbn96vApp36bKDcBAhCZLRmMzlgmTkzbmwfOmbIotzxGGI/vNICL/RdKGN/LkUrgcU
YU0IJCmmgocdAwZxR3RX9F5n/Yl1LJIFRaD0u+LyU3pauSyiv/HJmfKFwO4aMOwUkdIFjuwEuhuA
NQt4FSC5xBqQBsTdQFwa3vV5Thw2dWqehRLWYWzvAEFACwrALyGvsNnAFLQBmJ7annONoAhrQiBR
UXZw2KGB9axu1JJ/WXxvuHNiD5OZZalr8TEsph9Wt58AU7jePrD+HdDdBoJekfK9C+IAYMGfRXlt
7vIK8JqGNEjfSX/F+pdXK0ShUS9H1H2VWhqODm3YhcbPII6BRAPSABpJvL2J1A6gffoJNP+VdY3C
hw1FWBMCa03t0UjO4etYy6KtDKULD6qfSzRVkBRXq7/u2fJR968HdHeBnRdAe6uIsi4UXb3u6TNg
sAvYu4A/AySXVHzXNWRJeuYSiuM1KQ5Imy4fm4uuys23oJkmUKkgTU3kcQanbsGp6dA3I2BskMjI
k8Qll2i0vlHVsK4TFGFNquCehVJkP27cx3Vcu8N1LJceiB0M8Ubf8zgEentAe6OIrAbt4vvLIKoj
r9MHoj3A7wFadXQlB5YZ0bBGxO3To+M8crgUpnLHF994gnwsiB2RheGkcCoaMseQ4DAZZm8kMN3U
4FRyuPGWyMZ0WDD7m4Blw/Vz6FVXalWu1YXRD6BFw5N1N02DZlnQZzlPqH7FrxPUT3MC4CKIbrQv
RnzHPaQoIqXFMR0Zmm5BWCfAEzBNivoUI6n9VaC1CYTFstGJgAX8qAVE28gNB3nQRx72kUWDonAt
HvLjAjabCMX70iwHmsuCPZD195BJA4BSCU1+u6xhAl1PgJKFMPEwSA1kUVZwzJhoRjsNmQmbjgbH
ieDsPgd0HRjqyBkxmSbsLIZlechIhO0W8kH/9CYBn8txoFUqgKGK7tcJirAuHcV6LnpfnWZ4x9OL
Plf74bbYzpyoV2UJQCEou3nbL4Cdl0B8ShQxCUQ95IN1ZLaJZPUF8s4+sl6viFJIAPxXVOtc/Dci
LK8Eg37sOpBuvkS6uX7kWLmuS6dEo1QCvAWk/gwSS0eWGbIoolgrT17JYOgZTDuFydof9WWHkabI
w7B4zjN0rjzOg+hKpYTXCoqwLhFipsfoKt7HRv/5wWl12ICPBFX4WelI8hiWVgwzC5jm9dvAxnfA
+mMgOupQOnEw/exsIUtDpKvrBwPUOWtEYXg6SXQ6yFp7RTREkjlOrKPv8+EQVr6JWjVCWp9FqDUw
3MxgOjlcP4KVdWFEPWhJiLxNKcg7wHFgfvklNE91CK8bFGFdIpjucd7vWfdrSQcJWRyhOzJeQ4Ki
Potbmh+3f4dZ/7YsQz2oYbEes/0UePG7K1tRpWkJDCdGWq4g63bPdRzjyOeNYETGFC4YwnD2UKrP
wq270IdtYLMlRfIiS3zH983P0rah1SltUAX36wZFWJfoyvCy+1i233Ad14y3JK6hM+6CbL5Z7T7B
Wv+JqNl5SpKoXN07ukmZNSoW1S9w0nJdWFHf1kbru0YRzeh63eAYTwG55ZCC/lSkETT0Yd2aRfQ0
RB5Gl0ueJK5giHx7rTAcZFOC113Wa/D9Mn1l7UoR1rWDIqxLAhemkrQ4anOn/Gjkb2XCNpxRykfv
9aIuw52C45GcIy03ttGYll0Av/rmKRzLxFytgo39Ntb3OlioV7G6s4+9bh//3V/9FI2Kj+4gwIvt
PSG0H96/9fonJKFxxlFvwbo7i2Szg6w3eCUduAyI8HUyozpS6+r3kT5/DuPePSnWK1wfqJ/mJYGz
gTPeovxLy+LDoO6qn3Rltbp86LpddAhPRABsl11MA/VkfQdBFAthbbc7Unb6/M6ikFcvpH9WEbmE
cYLV7ZYsdX0jYRGcV0z6IhzP56pCMEJaF1jzxddl9DhO8cbpnnQDeTn8cqP7nHet/ZuPPRfCir/+
GlqjAb1WU53CawRFWJcEzgCSrCTNOQTqsLYGK1K3Gtscc0VXw5k/uWad8gGxRT4/SET9IESUpOj0
h1iaqaHiu4jiFL/8/AF8t/CHcm0Luq4hHHJrzzmQpdDiLkw+vu4hpwB0MDz7YXmO9mCAr9fX8fMH
D/DdxgZc20acptjv92EaBu40m1ioFlqv1mCA7U4HjVIJs5QhXFaUtbtbCEgVrhUUYV3WB6lbMHFy
Dk+EosEGgrTQULEAX3WaxcLTE0/iFPN8tIKhPQxTxDPAKObOXBOmoWNVNiwneLy2jf1eH//sx5/A
Ngsdkm2ZQhZZlsuF5HUmGBFFLej+PDTHPhdhpVmGzU4H/8c//ZMQ0//z7be4OzuLquvi2c4OoiRB
s1SSiCuIIjzZ2sK3Gxv48tatyyMsgtGakjVcOyjCmjDoFFoY9WmyQIIzhIulu6MFE8fgloDZ20WN
Z9B6NX7zhoJ0vezhi7tLmKmV8dXzdfzh+Rqebe7i9mwDG3sd+K4D19YxDCMhC6ZdYZLAs63zRyu0
ojknGGEx7WwPh/j7J0+w1mphsVbD0uKikOtur4elWk22SD/f2RGyIpHdmZk5Yqnzzmkha25RVKSx
lFwoXAsowpow6H1FaQM7h6xt0ZiPG3NO/2nYQOMWUF8uOoaPfwXsPAeS10dav/jsAWolD55t4wf3
lzFXr0iBvd0fYqfTw72Fpni7x0mKhXpFLokU0M9JWDzZyVcXmAf0LAtfLC/j/3v8GJ8tLqLqefhu
c1MI6dOlJbiWhSTL8NX6OrphiI12G/u9nkRnjAIvBVmGdGsLWq2mxnOuERRhTRh0ZGi68xJhOYYr
BffDXlenglGG5QJz9wuDPo7pvCbKWmxUD6KSWtkX8irkC8Xt49RvplpGs1rY1hyRUpwFHmsykh6c
E7quo+77+B/+5m8kPQziGN9vbqLm+5L69cIQFdfFf/OTnwhJMX1cqtcvj6x0WjIbyNbXkS8uQrNt
1S28JlCENWGwsE47ZC5TpddVzWmeLLafBhbg64vA/ANg4zGd8E5//kPkU2xmHz37sZfg3TT6vAsB
MWI7Z8RkGMiD7NwWMaauY65cxp89fIjbjYbUq0hQvm3Lv5vttkRYJCxD14XcfnLvHkqOc77jGb9H
1qfGNaosK+YN+Xz1Oow7d6A3GgepINNDNQR9PaAIa8Lg3GA/6YjLKE37PLNyAcX2JVkWk/y8ElAZ
+UJrtsVlAAAgAElEQVS1ukBwzkFq0yncFc4ZYZGASD6OacKxLDTLZYmsWFBnp5AkRfIag7zK6Mo4
K+ozTXFg4LiNNjMDY26uGL3RdeRBgGx1Fbmuw/z444KsLOsouSlcC6if5ARBScN6/7nsEZz1FlG2
mL5doAA8joYuYtDHqILdRssuhqiZZpV9wCMBUpTKVV+V4rbzPG8SQXcrMhCdB+c4ZL6CrsuFsAxD
LoyqXgeS25vGbPRmE/rcHPRqtSCsclmGqUlgvA8HpYWkSE4zM4qgrjEUYU0IVLVzNRcN++b9OyJj
uBBZHcZ5692mVURSJRcw2SXjTkJ2H8kiJCgyjl34t5erQL97tq9WHEC3S9ArDvIoRh5cTIl/an2J
UgvW1gxd/pXPhZ29OEUeJxLNsQalzc4WRLWwAJ1E5PvFyM2xrh8jKG1hZNWjxnGuNRRhXSJk400W
ioyBHTFuwqk7s6jaDSm2vx0uMGNnOUClDFRYJB8AngtoCUAN2EhlDy0E9B7QqAJ6DgyDIop7Xcon
1lYBjGqV/nzIjo3oSC+A151nFpARkGfBWKhAMxLAIGnRB4t1KB15mCMbZMgTDXq5Bv3+fRgsmtPi
+CxpgiKqGwFFWJeIJE/QDndlISrTP5JVyaqNZgbfAuNlExdJCXNqjzj7xxrVKXUqPpc2BFjjnqsB
HQvo09M9PNaNHEVAjNosDbqnw7BcaCYdRbUjT5cPE+TDWCKkN9a6pCjuwvq0DA1tMt3oCVI6ASLP
qaivIM+b0GcfQqvWlIZK4QgUYZ0DMlIjX725MMxbTd1EyaxIkf34TOHFMHYdPRQdve6emi4XLY6g
DU2AJ3rKruLroibuJiSZDYB6DSjXgU4IdLnMYWRxzNTL5/LVMmDH0IwQZiMHlg/XorjNWUc2qCLd
ipFtdZH1AsrdT39dpnksO5Gs4v1jNw6hoQPNYMqqAVUW1JU9jMJRKMI6B4KkLykd13G9CVSyN91F
NOnV/q4pSj7yx0rPsHfRDcReFT2/CjONUUlZZ3IBtw5dSOFNqRojuDagMUWsAJVZICxkAvAYWfVp
I1qMCKVvKLJ7OvT7ZWTNGpIXHtKNvVOPWepPlgFkb6iD0RM+3AGiNuDMqVRP4QgUYZ0Dm4MVWLol
ERO33NAy5nUQFdS7khUJg37uz35d6K9e41ueOSXs+FW8zGPsDncxa5cwX26inyYop1Usa21oZy1Y
FX92Fqc6gNbnttaiO5mTpEbp2pl1tBRa3oVeyWEsOMj27FNN/Vhs59ouee7XQijwwq4VCjcDirDO
gSSLsDV8iZl0EbdKH032J8KuHVd5Pf8tsL9WpIWsI5HERh293DAR+DW8sEysRR100hhRGst+mw4y
BEmAWuRioVGDyQjqTNIqLGVGO+xHF5LVhQ4cmjaE7mnQ6xWkm6dEUabO6e83p7j8Y8DISndUdKVw
AoqwzlG/8qwymsjFdO+stPCdQUEn5wf3VkQDlfpV7FkODOQohwHsOERoWnjuuHgatNGLBgfLLgbx
EMMklG5lkiXYrMyhrhvwGP1IGnYeBhotmXgb5Ak0J4U+W0G6pR19HsoZHLqBMnJ6Q2GeRS46WRje
mTVDhZsHRVhngCkeu31NZx624cLQJvyRcei5tSGRVeKWseF4WCERsKnnuJhzPMSahpfJEN2wf2Sz
dCoRWBFNBXGE71o9zPse7jkuSho7cpP2h8qhmSmMeoa0Vh45lWZiTaNXHRhzJnRvVNR/E8ardBQU
jkER1jnN+d4LRMYQIY+GSGwPm14Jj7MIe2EXaZ6hbZfQcyqw2E/r7R8hq+MgeW129qDpC1iyNJTO
2o11WdBiaG4P5r0S0h1qqzLoVQ/GrAa9EkKjgPVNKg3W05IuwCUeJoe1VZSl8AqKsKYNeY5E17FT
quKrdID2sHuQ8u0HXfTiAJZpIznF3K+wH9YlKiSZZVkqYzGjp30/pz6jQb0HczGH0fSRhTY0PxOP
eGSUaJzxeKauw3XAngEqn7K1+D6OWuEDgSKsaUKeItWAluXi6zxEa9A+ERTFaSyX02AaFmzTh67Z
smJ+ELax021hz23CszK4KcWaR9zUJ/Q+qPPqQjO6MBjayeLVc77WWCMWrAHlR4qwFI5AEdY0IQrQ
jwO8NDTstPcuTCeW6cBzFpBk3CjNHYjfYBj1sNILUClrcGkQyOiL9SHZjjOYfJ54EZX+4cckFLZe
zW5GhemFIqwpAWcP4zjA/rCNzbB7wYWimqSJtkkLFwd73QAZUtyduYU0e4H2sI8tt47YrKMfhRgm
GWqOg1umiZRO9FoKg+M8FG1OA0hYcQto/baIsPy7gN1U2iwFRVjTgt6wg7W9F1jZf4k+O4UXgKEb
cO0FREkDnaGGYRQXUy1aA669h0Gwh2f7+1g1DCRZKtmZaznYd02ESSqGe0sm4OMCxn4TBceSIqD3
XfEtibTySUFaCjcaKsKaArAmtdVex8u9lxJhsVh+EdgWNUslDCMbg9GmZsOim2eIOAmEpCJu4TmE
IIkxiCzpJvYzDXbFlOcxGWlNBdgx7RVfDp4Dpg8YLmCMTAgVbiQUYV0xOoMWdjubWNl5is5g/8Jk
5doVmMbsiKySQ5tnNKTUQGmWLMHg5pvDaSZfJxi91n6/g3WzBt/w0NQTaNOQGnI0hxFVRuubCIg7
QBoqwrrhUIR1haBcYXXnGV5sf4/uoH2wGfo8oHzBNj249jwGUQ29IJdlqgSJKc1y7PdNWMYcHNtG
krQRp8NTCZFR1vYghGd4sP0ySnoP+pWTlj4a0fGAdFiQlxKT3ngowrpK5MBudwv94as19ueBrhuw
zRI8Zx79sIZWP0WcHO3GJWmGrVYIx3JRL/twbB96so0w7p5KWr2wj5cMzPQK7rhVVLQuDHprXVVN
SwrvXWDmyyIV5ITBpMeiFKYeirCuEFzY0CjPYL+7g5hF5nOAC1gdu4KSewc7HQedYSSbnN+0yn6r
paFRqqPiGTC0DL2gc+p9u0Efj5MYnXIVn9XnUc+3oecRtLeRJrwzMiDkiNKwmC1UAlIFRVhXjyAa
jmYAz0dWvjMD07qF1d1c5gXPI39gx9CzdbGiCqM3vxaL8+udffTCAJ/OLmDJaMHOeuewqZkA+LnQ
G8uqj8Z0FG46VIR1hSDZDMLeudJBShd8dw45FrDZIlkdLaKfOUusZ0izAFFy9uobEmgnHOAPWyna
1Rru+RaqGuta48eOPL8mHnnlQO9xUYAv3QfOuyJN4dpCEdYVgoTDiCY/54mvaxbS3EYQhRcSlrIA
3+6nqHhUwpfRG3JE583Isgz9KMCLdo5h7GG5VEPZrMuK+TTXZI9gwxjCzPrQOLA8KcRtoP8UsKqK
sBQUYV0VSFKMrqKY/lVvJixTt6RuZeglFDKrixXCefd+mEkB3nfq4p3+JqeHV4/LMYgCbGQZenEM
h+vfs1zml0lYM66JBbeOqh7CygNok7CvIRmyjkV5g8KNh4qwrghZnqM92Jdi+2kEpI3GbWjG59lN
ZKijGzgIoreLZtIswzA2R93FCgbh6YX30xAmkVyOH18rdNGJPcw6NmYsExUjgpmHJyIuvtdXSzyK
9zpuFBQOE7wU18lnoWkwjiygyA9dlN3MTYYirCsCo6r+sHOqxIAnsGUwfZsTGxndmEO3b6EzTJG/
Q/oVRJl401f9OaRZjDAevvVzMUIbRkO8jAPs2R7mSx6W/RJmTQNO+ooMKV59urKDSsmFbRlodYfw
XQfdfoAwiuHaFhbnqzANA63OALutvpDWx/cX5P4CEY9yA3ZBZgo3F4qw3iN4IvKc48meprR/6Z2a
Dhq6hZI7iyS/jQwJOgOmZiSrd9NEUZvVC3WYRhU1P8VO58W562evA4+pFw4wjEPEWQNevQIHrwgr
jBL8m3/3B9xbbqJW8fDNk018+mARrW4f3z7dwu2FOv72zz5B2Xewsr6Pf/zDC+x3BvhX/7IBy3QL
1b4syUimZM5R4SqhCGvCIMew68bCd5ymSBJ29zKEyQBruy+kuM2T8jAZGboDz72FP64NkKaXe5JS
YNoNdNTL3Jn48sTtkp6N0q6zamsndzemJ9PBLBcpxR+fbsG2DXS6AX7w8TL+xV98jrXNNn746S00
ayV4roUffXEHrmvhP/zjE5Q8ZzRixG6DUyynUJt0bjwUYU0Y/TDEtyvb2O8NkaQcQiZ5ZSi5IitH
vUyXhSGGYQ/JSDzKsnaWvVkQ+i7IMg1BbMEybMRpcECWNADkbKLv1KBrKTZbK+eOwDzbQ9PWUeOq
sGO4f6uJf/jdc3iejc8eLqIfRPjNVy8xP1PBrYW6kBSxud3B5nYXnz9agsmt02Nw4JmkpepXNx6K
sCYEkg1J6tdPVrHZ6iJOmNIVkQj/HQQa7s4tcRcObCuBoa8jToawzBIss44w4Qk6GecERnvdQYqa
X0V3EAtB+m4TptlElpXBjfPIGX1dzJNL03Lop2xcdSwTf/mzR5iplzAYRtjZ7+PffrOCf/bnn0j6
57k2XMfE5k4Hu60e/ou/+fLoE3CDjhCWwk2HIqwJIUoS/OHFBtb3OgjiwkXh6O0a4rSGfjj2W2ch
PEUw1BGn9K1i93Ayx8au3TBKMV9rInFimIYnx9Lq2TAMHXU/xW57V0wAmZYlcVJ08DJGfjl0Q4fr
FQQShRGSJIWZ24jKLiLNh62xQF6kho5tSsTElM/3bHR6AWaaQ+i6Bs+xJEVlWsz3ujhXlftVSsfI
SWQNb9gWrXBjoAhrYoQQY2WnLbN8pxXLuVR5qx0jkppWXljAwECSsiCfSdQzUXfTFGgP6KO1gDgz
MQgNBBFQchNEwT5+/5uvUa2XUa74WHm+Dsex4bgO2vvsbOb48Z99KWT2+Otn8nzzC3PwDNbfqqLN
augdsakxTR23FhswjEKqwGiqWS9hYaYij3MdC7ZtynPNNsto1Euvalevjnhin4XChwVFWBPA2N6F
EQRPtmGUSN3qOKl1Bldn4ZJLyprDMDw5VjYDSC62maDX38KLJysolX3UmhU8f7yCW/eWJLJq7XVg
mq822aw+34BlGfBLHnb6PboJIsx8VCtlmNm+qBCY7o3h2LpEXewKHodtvebXkU4N41EgVXi/0VCE
NQEwQvBsC5/dnkcvCLGx38VedyDR1rSAMYv4Zx06JNfS4Vop2kFL0rRgGCLZSiTiI3kxwqpUS1i+
u3gQBTVmakgTpowZoihCLxhgEyk+rc3BQEsWjr0zmA5yCJp1LA5Bswiv3BtuJBRhTQC6pqHk2vj8
zjySLMf6blvqWWt7HdFCTSPIP7aZwTJCmW+0TBPLdxcQDkMhrl63j2AYSKTYmK0dPO7BJ3ew9mIT
ezst2I6NSq0s94lyHe5lHVy0X9SxuK/QWwJK9woHh0lv4VaYOqif+KQ/YF3D7Vk6goboBZFEWtMI
Ks11LUSSdaUgXqr4+OjT+9BNHfl/+hpb6ztwHAvVRhUrz9bx4JO74ue1sbqN3e19NGbqKFdLr6K3
/DIV6RSzDYtLtAOEm0Dtx4A7r0jrhkER1oRBdwMKMSu+i7JrTy1hlV3qsnoYBG34ZQ8//PkXcP1C
vPn5jz6WSCpmtzDN4bj2QUp4+94S5pdm5TGsYxGUkIZZkQxe+iANrZsZacV9YPaXgLOgrJNvEBRh
TRhRnEqKyH+nNR0kHDOGoQciXjUMQ2pVjKAIkpHnu8Vo0aGBZYIpoHQ5df3gOupdw0m+VZoJJl2g
+13hRqq83m8MFGFNGBzg5WlMdfcgnE6LFEPIhjY3wwMJxpisDr4+JDw/DHYOj4O0FqY5ckObLGnR
UPBK7JsVrgqKsCb9Aeu6yAb6YSTarGlEERhll6Z3IudFjCYpfxBCmZCOKu4B/SeA1QCcGWXwdwOg
COs9IIhjDIJIxnOmBSysM7Ki7RQFnabBX4XXhFEXhcYxaAOZUYZBq5mJOJLmo7Twj4BZBqqfA0ZJ
6bSuORRhvQfstPvSJaRYdBpAgiq5BkyjWGnPQWcNIZL04sTyqp5FYSeFqDbK/iwsbwEDdwZuvAUr
2YWeDS8/fSMR0kI56QPOPOAuqkWr1xyKsCYM1oRWd9toD85e/vC+YJsa5ms09NsSQ8A8jzGMOBN4
ceW9Y3my81BjRJVncJwq5mc/he8vYl/X4DstVIe/hxO+gEZZwqTqWWm/kD2oVfbXGoqwJgzGVDKW
kxeC0iLGKhwbriq6si16snfQD3ZOdTy9yPbphZmP0Kg/gGF6Mhyt6SY0swyKOdgt7OozcKx52PHO
5AhL5xCjcnS4CVCENWGQpD5anIGu6djvDWQc5uBCXdN7Zi5xRs915FoDVb+H7mBX7JIvCr6fheY9
NJqfwrRqyDX9QHM1dnCXr1lqMqpIdQ/FPSbwfs0qYDVVdHUDoAjrPWCuXkatRAuXQotFsqIlC4ei
d7t9rO120BlSA5WdmV4O+z25NOYW0NrZlnGYXruNKAzheB4qjSb8Ullm+/Z3tiSCqjVmYDvFoAyd
FvpBipXtDGVvAfVyFf1gDWFceKkfx0x1EbZNrVUm5Cr/ZgnK/gyazY+hW1XkZ8z1DfQZ2NYCzGQf
GlO3ywYHonUOSF9S00BhaqEI6z3AMgy5EDzpixO/cHRYbFQwUy3hm5db2Gr33ujbTh/4tedP8f1X
v8Wf/fP/Ev/p3/4d7n/6BRzXw/b6Kkzbwl3bhuO4aO/t4OXjbzG3fPtE+snXHUY5kkxHkpZQchdh
my0k6RBxGiNOIimkl706mo1HcL1ZaLoxOraCtEzThWFVQMu+sxDBQWAtwkl2YU+CsCgeVbWrGwFF
WFeQIvJCcCmMa5limscoa6fTR/oGwqIlTBJHaO/t4o+//Ud02/sIhgP45aoQiWGY8PwSojDA6rMn
2NlYk/pZpdaA47qnuDVk6Ax15CjBNizoegLHCmEaLbFtXpz9FKXKbRhWGdohYuLRX0RdxRQx02zk
k1Kks35l2JN5boWpgiKsKYBtUmJAtfnZ93X9Eqr1Ova2NzF/6y5My0K3vQe/UsXs4jL8cgW9dgu9
TkvSw72tDQzuP0S5Vj+iXh+DaWhnwE06rnQPHasE17KFtCrlBWi0cwFJ7RUuWoUytBxW1oGRnH8X
4oUgfllvTksVrgcUYU2RHU295I0K8onMHh4vyIsFjOOgMbeIUrUK23YkTVx99j3mFm/BsmxEQQDD
NFGfYRqnY9Dtjivtr319RmEsn3FyaBjpqHgVNMvOyAX13WEzKUx2YCYtXBrE0I9f0F+aRKzqVzcB
irCmAJQa3J2ro+o5Mm+41xtIetgbhohplzwiGxKQV6pg+d5D3Lr/EDuba1Jwtx0P7f1d2CsvoN3R
UZuZwa37j/D1r3+Fxuy8RF36qIZ2FhhxdQfcOl2BqbtIDqQY7/D+EEHLMynOa4yEqJt6F2g6Mqra
maimA0AuQWHupzbrXGsowpoCiJ95tSQXglEW1fFfvaTpX/fAF541qsbsnFyI+eU7cnn4+Q9OPGe1
0ZTC/NuApoP73RB73SFKVU9kTu+CAcrQ3UfQdAt2uAKd3cJ3WIya6S4C/wupXTn938MYrBRzhOJG
WljcKFxPKMKa0poWu4eNsoenW/v46sWGrAx7183PF0GaZ1jZ2sUjvyJNgcPaqosiyzX0tBkMnRps
+xFK6SZKw+9gxDsFaXHE5pzvLdcdJPYS9u1PkGoW6hUfpcHvYQxXi1nCyscqyrrGUIQ1peBwsmtb
eLjYlJP5Wzp7dvsTW656HHydnVYX5soqmrUKSr4nWi7DtN5KpZ9J4d5GqpmITA/90izcrEtqlPqW
nexBzwbQshhaHhdFdCrjD6ePmonYnkfb+xOEoD+Xhn19AbB7KIXfw4h2geyB8se6xlCENcWQjTOW
iXsLDXFW+G5tWxZavC91PIWuW3sttHt9OLaFuUYd87Mz0M23kxAUKi4dGRykuoVIL+QYpjEH0wqg
5xF0xDDyCBkMeMkmnPAl9LQ3IqtF9NzP0NebMvpDJLmFgbUEO96CEW4DvT8C7hJgVZV98jWEIqwP
ACXHxp25OgZhhFY/kH/fF8I4los+oNFzDt91UKs33ilFHEdcvBCJZkMzKgd0xgsJKTSb8Iw6bHYX
NQNDaxF9cwkJjCMkGGplREYDTrIFrfsNEGwBdhMo3S9qW0oBf22gCOsDge9YUpRvlN33SlhH9ij2
h9jc3ZOOY7l8eURQRF6FRc2YxIhUbyKyy7AtDk1riDQXMU5Gd0luIDLrSGMfZrACRC0g2CieufKJ
UsFfIyjC+oBQK7mYq5UlLeR4zftGGMWSIqZpigd3DDjeZGUEzHxJULH25hRUVPtGDZHZhKmtjTzf
e8DgRRFlqbGdawNFWB8Qyp6D2VoJjsXV8u/fblnSrzjBbrsL393GnTv+KWvlrwaxVkKk1+DrdqHJ
4nHpHEdSgtLrBEVYH5gi3jbMKyOsMWj1vLnXxp3lBBq7hlMg1qQlc6J5yHQfehoCugfUvgRM/6oP
TeESoQjrAzQDlBXzVwjWs4IoQZrE0OgFf44oixoyWt4QnGnkenvWwuI4KkSxuiEjRbxN7pum8v35
j4k1Lxs50z86QpQfAs6s6hReMyjC+sDAE5rC0gmYtFwQ+YinzhddddotfPVP/4het4sf/ezP8L/9
L/8T/uv/9r/H8yePsfLiKeYXl/GDH/0UpXIVj7/9ClsbazIr+bNf/jUqtdq5XoOOEKlRgqHtAc6c
IqtrCEVYHxBIDZahi6AUmJDd8EWivZRqqfPtd6bB4NbGBlZfPJMB7pXnT6V4f+feA6y+fA7TtFCq
VDEcDLC++lJMCoPhENGf/uLcx0TCSnQfNovuFJF6twCDdayrT1kVLgeKsD4wMK0iUVw52MFLElj5
ONI64+5ZBr/ENVyQSGt+aRmmZaK1u4vF5du49+AjlGiN0+kgDIYoV6rY3toUUrsQYWl+MerDDiGt
k0sPRqSlcB2gCOsDAutXtFXuBiGmAUmaivTgXPGLpqHWaOLOvYcY9KlcB8LhEL/9x19h+fY9GftJ
4li2RvM5+T0NCy8yIJ1plnjHC4NSi8WdhbROpvKdtS0lIP3goQjrA0IYp+gOAyl4TwPGzqnngW3b
aDRn0JyZRbXewDe/+w2ylHp2DUkSC4kFwVDsnucWlmCaJu4/+ljsns8Lik4TzS3kDFkPiLaB9lcA
u4b+XcCiml6lhx8yFGF9QKA/1l538F5dG85eonq++1Zq9VFKqEm96qd//lcyH0nyImHR2pnkxFTw
Z7/8K7T398RZ1fX8C7lCJDCRGT50Cke5uDXcLIaoGamVH6ma1gcORVgfENqDIbY7V98fJEiavX5f
DAUpSTgLhmHIZYxyhdEO4JHEjsHzfblc+JhGaWFmVKBj69UN45X2dIAof1KkiQofJNRP7gNBECfo
DEIMgqsTjB4Gtzy/3NxBrVqVYjnHlicR95lasfDivJNIuWYiMcrHfrHZIdgvoq3SPfVr/wFDEdaU
o90fotUfYmO/h5WdFpJ32NR8mWBWShJt9bqINcB3fVgGVe+XBy6v2O73oGtA2Xbl+c/qj2YkLL2I
3o5CGy2rmNDmHoX3AkVYUw5GFi932ljdbaMfUBV+tcfD7T60mOECV900sROn2O30cFs3MOObSPPL
KWozXtsf9LHS7ohlc9UZYqbko+a6MHTztRFXDhOxXtTKTnxY1GdxyzXnDRU+SCjCmnJ4joX5Wnnk
6w4hLcobrgK2xb2HLgzXRWYaiDUNwyRDloRoRJGQicYo5l2RZ+hGAV62O9gfvd9BnGAQx+j7ERqe
h5LtnFg/RlDKKlosRlJ0Lh3fgwV4sZ1ZK4rvqlv4QUIR1pSDjqP3F5qo+A7W9zp4ud3GZovWwpcf
ObFrR2tm+U/XRKAaxcmBw6ljm3B9Fx3dRCSrwV4RZzsIUXFC1Fxq319FWcVXxabrg85i8cXBvQ7U
VnlRGxtEgURWO8PgwEYnTFPsDFP04wT9KMKM76PicJeiJcc7Ji7W0mgImBue2C0frWO1AHq/+7RR
Vr/6HyLUT+0DAGcHlxpVlF1HvNYvQlgkCJIRQYI57Ak/vo3dO9u2YFhcw1WQ1nhA2QwixHGCJEnl
fpphYBifrKPtDQPYhg7bMOBajH4KOmJmFsYRgiQW8tHHz3+wAXt8v+LfMImx1ethrXdSvsFvGWkF
SYpWEGKpUkLT82Xxa9GpLIiLjqSZWYEh0oZDx0oCSwajyEv96n+IUD+1DwiMgLjBZgyJhjRNSOg0
bRYpwLEslHy78LKKErGGGd+Xz1fyHDi+h9Q0MGQQcojQKPaslUtIgxD9/lBqVplsjz6ZkkZphg0h
GeB+sw5LVscXJNQJA6x2uuhFCXTGQyOeMkiYui7zkSZJjLbIaYrdQfhGrRkjPj7X93sd7Hshlisl
1KTobyLnzkIYSI0qdGwcS/y4oSc794YehemDIqwPCCQb1rLEm07TUfFdWQ7RHQwRhPGJ5RSMnhbm
6+jrxYhyVdfh8LEjqxfNNNHmDsQ4QxwmJ+pBlFt2NKDmOLKVmmTWPiW6Ok5aXBH2xdycdOzIf2Xb
gWUMECSXO1LE97szCNAOI8z5Q9yqVoS4JC00q2CyeMqjRhGWwocIRVgfELjCnpy0OEMFuItA1xFk
ORplH9kwkCiIfu/c3szoa65ZRSvXMIhTpEJmRd2IMRJJL42ig9m918UcvK0TxehGRbp1lso+yTLs
DkM82d/Dg+aM7H32bAu+ZcHSdcQTaBjw/W72huiEMWb9Ae5VPWRmrZgdzF8jb1D4IKF+ch8QLMuE
XfIwjDO001zqShlyDDUNlmXDrluYZaqV58XgsGPLsDRlAcV5W/yfMZL2BpI6jiJLPOeiU4m0Uqx1
B/AsCxXbLmpVeS5pX5xNyOomz6W+td4boB+F6Pg6PjOXUUrWoGdc2pEDZhlwFwCDNTaFDxGKsD4Q
hEmK7SDGepCgn+VISEojDkmRi8Qg0jVZgCUEoQNpnCLm/U55vklWcXhcPN4Xra4U4Xk4LJRPInUo
ixEAAA2FSURBVLo6niLydffSDEGiYWAv44HjY97YlXL8wJhFoi3BCFK0w0BqeCTRCiNA04BBharC
VEMR1gcARg+rvSG+3+9hZxgeKYwfjjDS9FAHcMKkdBb42t2ItaL3Xy/iZ9GNcjxNPQwyC1sjX/d+
7iMJ2LhoS/pIgmLhf6ns4W7VR921zz3MrXA1UIQ1JZDB3RERHf9LvzeM8LTVx3o/QHxO8z7VB2Nq
mmN1aGDbqBUyrIwl9xC6Fh5Zk8aOIxsGtyoeaq6NknX2MLfC1UAR1hSAqRJPGl74F54pCjVNTHF4
0j3e62HzAmSl8ArkpSA5St+HAlEB1fRDEaaGuF8r4UG9BNdUpDWNUIQ1BWS13Q/x3V5XIihT0zBf
ctH0bIRphk4QY603lIKywmRA/qIYdiUeyOfMPxYkrTcZFEq9jN1Y0ZIVIliVTU4eirCuGKvdIf6w
3cZWn7WpIoLaCyI5ASghOJ7aXXVt6jqDn2s7TPD1bhfzvouSbZwgrfyQcPU3m/uo2haWKx4ari0C
WEVak4UirCuGZ5pyMfXoSMv/uAiUf/U905B/iTjN0Y2LcReFywN1ZBSj/se1XfxiqYGKYxV/PNhE
CGNsD0J0ogRP9ntSuCeffbffxZzvSuF+uezBUzWwiUER1hWj6Vn48UIdtyquRFubo0ir4pgoWyYc
wxCiqrsWyrYpXS3+GWc5i4LO/WEkQs12GIt0gASmKOzdwFrhaneAXyHHR40ymq6DfhxL44M/I+ra
htTAjf6oyPdxHzuDEE/cPhZKBXlVHfNCvvcKZ0MR1hWD6m+SkW8ZaHoO7oWxnAD8noVfdgxZ13JM
Q2olhx0OWOdaLLniYEA1OzVIIm+QYn2GMMnQCiK0wlhm9NQIHS4gfiVpDdGPU+ka8nt+lvz+9HpW
jijj7Yn8EdnsD0c/Hw8zni0/P0Vd7w5FWFMA/hUmOfGXmrUQxkgGXQ3O+A03DA2OoUsdhSSVjS+j
cRVGat0wke7Xem8o8ggWihXOB5LUdj/A7iglPJ6mHwdv5mOiNBINGtNHXmY9B7O+Iz/biq2irneB
IqwpAvmJUdRFzeWYdTAKO/K4UVu+6dqYLzkSxT3e72GtG0idRuF8GItyL4p0VJhnxMWGSsO1pPvL
Yn7NsSTlp1OFirouBkVY1xy0n/EtE/dqJRl9jpIMm4NApYfv0/s+SbHeS6XG9dIeYKHs4lbFFxKj
5q74I6VwHijCukG1sttVX6Kr7ugvv8L7BUeqKFnZDyM8a/XxoFHGn8zXJKVXOB8UYd0gsN7FublP
mgl+vbl/1YeDmx51DaLkiAOswtlQhHXDwO4ja1os9J9VRFaYDJgCLpU8/HC+jpKtTsGLQH1aNwzj
hQ/Tsu7+poF/KFi3+tlyE3WH9atXltcKZ0MR1g0DhaWcm5tmuorDEFsvn2Ph3gOEgz7iKETQ7yMc
DKSJUKrVMLN8W+7L65IkhmXb8nV3fw/legPVmVlMG8Rj39RFWEptlhKVXhyKsG5g4XfaB6mDfg+/
+/f/t2zp2dtYE8LyKzWkaYJBu4U4nD8grLXv/4g0TeGWSkjCCO3dbexvruOLX/71wSaeaQCPhOnf
naqPh/WyIqu3hCKsm2hlM+WExfVie+urePbV79Bv74sco/R5Hbbrobu7A69SPbjvsNdFOByiu7cj
t5PkdtZWkMYxTMsqRGpXDEZSVceScZ2HjbJEVwpvB0VYNwQUMrIzRS3QfjDdW2MM00R9fgGd3R2U
Gw1kSYIwGMIwTPi1GpYefHRw39lbd7C7vlYQluPBr9awt7kh0Zhhnb43533LSUhWnEl8WC/JPKhK
Bd8eirBuCEhWT1o9fLvbPUJYY9EiCW1a6vCarsN2fdz59HNUZ2aw8fwZNp89QW1uHg9+8CMkcQzL
KRZJ8GtGZLbnQzcM9DsdeTyjq2lICRlNfTpTlVSQHVqFd4MirBuCIMmwN4jRCuKDDiH/0t+u+FLX
EtfN+ORuwquAadtY/ugTPPrxnwoZRUGAXmsP2y9fYNjtYuHefXz801/IfXfXV9Ha2pD7k7DWnzzG
0sOPYJhXL8aks8bns1WZMhjbAim8GxRh3RBwlvCz2QpcS5e0kNHH/WoJt6qeDFn3o0QcT5+3BzLw
e5XE5Xg+Pv7pzyQ15LbpWx9/hsX7H8nyV53br81Xv7af/fzPkaVZcZ0GLH/0saSO0wDaLXPomcZ+
CpeD6fjJKryXv/YzniNzhbSa4V5C36bfli7kRRNBmtXVHRvf7nbwojO4sp8Kj2ec8slAuGUVBfRT
YDnuke9N6+oL2vxMH9TLkgpSc3X1ien1gSKsG4RiB5+JMn/s+dEGGm8zdRNLZQ0pXTeH05Mifkgg
WS1XfHwxVxXyV4PNlwtFWDcQwlOv+bNPTy7a/VLc+LzdV4r4N4DR6pzvyEA5P07PMlGyTLFJZjSr
IqvLhyIshSPgSWabupyIL9p99em84XNaKruS9nEmcywMdQ06xSqfq0lBEZbCCfDkG3vHq5zw5GfD
+T9KFFhUJ7EzDVR4P1CEpfAat0zKH9SH87ro86N6RbRVSq7wfqEIS+EESFRchKFwFJQnULf2F7dn
ZZORwvuHIiyFUzfGbFCLpUKsI2BBnc0I1qkUrgaKsBSOIEpS2XPIBQoqxjraEaTFNOtWUzDxc2Oh
CEvhCIZcbTUI1WadQ2BRnU4LH9VLEmUpXB3Up69wAKaC3F243rva0ZxpAxei3qmOtFUqurpSKMK6
4aDoMc0Ly2QOQFN7xX8VcDAgXndtsYjhFm6Fq4UirBsKih3bYSyboWWxqqbJUDTTQWqwSGAqyoJ0
AzkP6KhC+1RAEdYNBJt/gyTFr1Z3MUwy8Rnnicm2/WLZFRITu5kkPdiso42ijbH5HLVaN2HrDruC
tyqeGO8pXD3UT+GG2iRv9QPsBTH+/NYMFkuuCCCFi3JN3Bxedgf4z+t7GMQFaVHdTYuapscVYcBm
L5CFoNeZs0jOyxVXkdUUQRHWDQR5iVoibh0WXZFpvComa4CrFWMnDdcWiQNN/3ifhZIj9RyCREb3
0t0BiStGmEz3Jp6Lgp8HPx8KRZXuanqgCOsGgtESjeVIPjKoe6yWzO8ZcbE7RjuauJJLVMXr6FE+
bvX/YL6GMCmjHUR43hlgvTcUIrsK8NhIqhIpSjOB40VFfS5/i8iKKSC323CgWXUGpweKsG4gxoRk
nyHYZvHdMA0ctcg7tAnGNpFbJmqOJeZ/FFc+2e+hP6GtPGLsp2tSAGcNjX5dNdfCvF/s+SO5jBeT
Mo1lDS5JczkeRomcj+R1vLzxdUaETM2VDIErTA0UYSlcCvlxIHg8NP20NRnCMjRImsqhY3p1+aaO
R80KlsqekCebBtqxDddcHMsFHJ0owSBKhLx2hiE2eoFc/6boKxl1ShVlTQ8UYSlcnl7JsUfGf4O3
6iBS5ySRn16kdyTAJM2ko0lRK6MdpqmPmmVZBjten8XI7jipjL83jOI5GQFSqsFUkR3Qst3HZj+Q
dDZi2njocPkla3KtIJKUeZwGK1w9FGEpXBpIDCQPRkLnNXsgSVFSQTLyLEO6kIyWmGaymzmMM6z3
h6LAJ+GMIzpGVmXLlMeeJwLSRimlbWiYL7kSqa10h7L6bL07PJImkmy7jMQGoajbLcVXUwNFWAqX
Ap7kTLG4fYfK+XMvxnBt2YbMehHJjs0AU9MOCt18qvuhLzKLp62+FNKZ1s37lFdob+9rJYsiSlL7
+vt8Fy9OiQpV/Wr6oAhL4VLQi1J8t9+VjTvnSQfJNax7/WJ5piCp14y98Fqmc5/ZVUk3uc3nm50u
Pp+pompbkvK9bY2Jj2NayYiLEVwnfLVglm/hm92u3Ma0UG1rng4owlK4FFA+wOjqPLIGRjd3Kh5+
vNBAzT3fZhkSBtM4FtZXOkP8uxfb+Nt7c6jp77bhmY98VC9LzYq6MkaJY3SiGN/v92QSgK+tcPVQ
hKVwKZCu3DnHdUhY9+vlc5PVEX2UZcr4ELt8l9W9oz/7x42K1N0YIbLAT/C9UM0fJsX3ClcPRVgK
lwIWyKNzVNpJMuy6MWJ5mxoRSYvKc5IMpQqse7GQ/i7gc1LPRc+rThhJl3MMpp3Kt316oAhL4VJA
mcEgOVt/xU7gcsUTkefbhEj5KP3sRjFetDOJuDjj+K41JpInn2ex7EkBfky9FJAqW5npgSIshXcG
9VIsWLODd2aR27bwsF5669VYJCva4lBywGI80zfJQi8hP6SCnsdHDRgJkPUsasDiUYqocPVQhKXw
zmCxfX8Yi5L8jb9shi4zeuMB6rcBhZ/UTDFC4yJT/ntZHTxGWewa3quVJM3cHUZyHelKKd6nA4qw
FC6M4yfvXhBJOqjrmhSqX1d3p8iTwtB3WZHF6Ifqdo7nMEq7TLkBn4pK+r+8PSvD3hSP9sIEJfOk
kl7haqAIS+HcKGbzChU7T2hTL1I0ghopkgfn9JimcYbvOIrBZf1StlJPai+gPP+oc8n0kG6jiqym
B4qwFM6FIGXEAQyTIhIpmUDD4cmtiyMnTQA5LMx6zzBO8XJkN7MfxAcWL4yOqs6H9SunyGq68GH9
9ihcGWwdqFrFv1FGA8CjMoXxvF1uAhU7l4I4R19YuKZMgKM1rD+FqoCtgLfH/w9mZAK2x8BYNgAA
AABJRU5ErkJggg==</Data>
</Thumbnail>
</Binary>
</metadata>
