<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20260528</CreaDate>
<CreaTime>16233100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">uso_zon_ades_habitacao_proposta_2_P11V6</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">656208.965200</westBL>
<eastBL Sync="TRUE">679015.749200</eastBL>
<southBL Sync="TRUE">7587083.496800</southBL>
<northBL Sync="TRUE">7608308.092300</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</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">SIRGAS_2000_UTM_Zone_23S</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/3.2.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;SIRGAS_2000_UTM_Zone_23S&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;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,10000000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-45.0],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;,31983]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;1900&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&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;31983&lt;/WKID&gt;&lt;LatestWKID&gt;31983&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20260601</SyncDate>
<SyncTime>17550700</SyncTime>
<ModDate>20260601</ModDate>
<ModTime>17550700</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ISO19139</ArcGISProfile>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.2.0.49743</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="por">
</languageCode>
<countryCode Sync="TRUE" value="BRA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">ADE Habitação</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<searchKeys>
<keyword>ADE_Habitação</keyword>
<keyword>MapServer</keyword>
</searchKeys>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-43.490753</westBL>
<eastBL Sync="TRUE">-43.268179</eastBL>
<northBL Sync="TRUE">-21.619358</northBL>
<southBL Sync="TRUE">-21.813198</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="por">
</languageCode>
<countryCode Sync="TRUE" value="BRA">
</countryCode>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004">
</CharSetCd>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="31983">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.11(8.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="uso_zon_ades_habitacao_proposta_2_P11V6">
<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="uso_zon_ades_habitacao_proposta_2_P11V6">
<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="uso_zon_ades_habitacao_proposta_2_P11V6">
<enttyp>
<enttypl Sync="FALSE">uso_zon_ades_habitacao_proposta_2_P11V6</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">ID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</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">Geometria</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</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">identificacao</attrlabl>
<attalias Sync="TRUE">Identificação</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">250</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">fonte</attrlabl>
<attalias Sync="TRUE">Fonte</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">150</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ano</attrlabl>
<attalias Sync="TRUE">Ano</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">observacao</attrlabl>
<attalias Sync="TRUE">Observação</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">bairro</attrlabl>
<attalias Sync="TRUE">Bairro</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">localidade</attrlabl>
<attalias Sync="TRUE">Localidade</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">globalid</attrlabl>
<attalias Sync="TRUE">globalid</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">shape.STArea()</attrlabl>
<attalias Sync="TRUE">shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">shape.STLength()</attrlabl>
<attalias Sync="TRUE">shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20260601</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztvddvpNmW5XfCO0bQu8xk2qq6Za6d7tut0UCjgUYSMBCgZ+lP
1LueBAhoQWYAdd++/pbJykpHMulNkAxvBr+1vxPJ9CQjaCLi7AJRTDIY5vvOWWebtddO7q0ddpOZ
pEtlk65Za7pWo+2KcwW3u1p2pfm8a7c6rt1su3g87qpHdfd//29/cP/wP3/jFh/MuHQ26YIFCxbs
qixZO2m4UiHt6icNF4vHXHYi4w63TtzkfMG1mi3XaXUEVsf7Vbf1fN/9+//1125yoehSmcSVvclg
wYIN1rrdrut2nHMx5+LxmBsWS+5vHrnDnRM3e3vS5SYyrlFruWwh5VrNtsCKf58cVF2n03X3fr7o
irMFl0jE9UGDBQs2XNbtOrf1fM9VynVXPay5wlTO3flqwSWScTcMlgSo1h9vu+O9lEtlki6RMjAi
DHRd504OavqQU4tFfQULFmxIretcp91x+6+OXCwWc81G2zXrLddpd11iSLI7SXJR6z/uuGajpR/E
E3HXarQUBh5uH8t1nFqcODtYdc3NDBYs2M2ydrvjDreOFTnNLJcsBx2PaY8PiyWJY5v1tkumky6Z
NrACcSrlmjvYOna3v5g/M1iB3iTmE8mEkvjD4mYGCzYO1qy33Ksnu25iOucK0zlXOaq5Vr09VA5G
stPpCFgAKBLr2UJawPPH//Ox++3/9JWbXJg40xN1O113clhzT3+/7nKljFt6OOuKM/mhuhjBgo2y
dVodVy3X3L1vFl2j3lJImCYNRE56SCwJWP3iPzxye6/Kbn/jyB3vVVy90nBf/bsHrjCd/2gFAVeS
+BfqA5SI7//zc7fy9aIrb5+47ef7LpNLuXQ+daUfKFiwYO/3rmondTe5WJRjkSmklbOOJ2NDFQkp
1UYsS0xbnM45aA58oIX70y6V/jh1geTd3qtDhZTxWMwtPZpVMm96ueQa1YbbXT90y5/NXdVnCRYs
2AesXmm6g80TeVT5UtYd7VVcbiLtirN5N0zWqw0AWnzlihk3MZ2Xd/Qpa9SaAiu4W/mJjIsn4y6T
Tym51z7uuG5reJJ5wYKNsrWabUVOFNkorEFVImWTK2bfeBw0Jh6H15XndzcspfNOMZMPk8mfzUVM
ZVNCa0AqP5VVaMgHhQrRanbksQULFux6rdVou1a9JcpSJp927VZbexUwgix+Og+98/LA1Y7r5ng0
225ipuBiNwi0+mJfFEpZ16g03dFuRZXFqYWCq9daipeTqbjLTqQH906DXZuxkLmn1XLdxRIx5TWp
KqdzSR1wwW42WJ0cVuU5FSZzAivwh3QPv6sd1V0yndDvSQcBWOS2SMjXKk2Xn8rdqKR8X4BFRREq
BBVGLsbxQU1xcWEqK3pD5bCm8PLa7D2cMDYfxYKw0c5ugNX2iwO3+v2WTuhkKuEmZnJu9takyxSM
cEzuMtjNsk6n68q7FXeyX9F6JwRk/adJuGdTymNxb+lw2V0vu921Q3fny3k3d2fKHdABs32iyuLI
ABZgAFM+kUq6J79bdT/7r+4qj8WF4kJcp3Fj2u22NhK8MP8zThtOEooMAbTOwozuuuODqnv57aa7
/8tlHUCEDFSUf/zXVYHX53+/ohDidHgR7PrtaOdEwIM3VZi0XBWUo/JOxc2tTLriTM4d7VVdvdZ0
Sw9m3ML9GTcxlVXEdLJfVR77plUQ+ybkx+JxNUInMwkt2PpJ02XzaYUPu2tl9SrBlL+qExjSLglF
WPp4eFRHHv7mlkKYg40jV945UQJyd/XQPfq7O9pwwd5vAPv2i32dvoss5um8wghK4pzC5C85tFa/
23J3vlyQx33TkrTjaM1Gy2082ZN4AUU0AU8qoTQNYAQoEfLxsxIiB6I8NFyj2nSr3232mPCLD2fV
8TJagEXiLmK5AxQTU3l5WPliRiC1t36ox6hp+grQmlCUU4UbQPiCF/X0j+sKWwBS8mpsOjxA4nU8
RH437kaY3GrQqVAT8HD4lHdPdB1Ls3k3c2tSQM/B1KX3LBXXYif3sb9edsf7Ff0sXMvrtUYN+sKx
eJEcKGm4kLTgxGK6V4R/3FOiDXYu9w0BBA6j0mzB5Sezuvf8ba548w6ggawukBq6P14LIMWC5xRm
cR9ud9z64x33sJB2iYmMu7TNVm/rwuNRAUjcmImZvE6Ljae7LqUkcUogxk3A+9p8ti8PEC9rnMMZ
ErFw7w43j3XK5iazCgWRHOKaTc4VLNkes74z5QDjcf2M+w05mIOCxR4A6/qsBodyv6r1z73ggCah
TmjfrDf1+3azo5YcvC7rG24LrJCTKs0V9PibnI8cyOoCwQkZVr/fVshFzAyI8cE5nTee7FoZ9RKM
zSNv6cWBJDMAHuJ1gIj30I631Q9JHouNqVKui+mEYXPiGY5zvzaATkvW3qsjy1vkU6523NA1BawE
6Omkrl0SkUfK40kDeBY719H6UBMfDx+6UQ1kXC/0JVtd1foTVz1u6J6l/CHcda5yVFfekX9TIBMg
xWL6N61300vFoTmwB+Zh8cFZtJtPTWtHgEVO67ipC8K/L8MAwuO9qlt/vOu++IcV5bBoN0gmE64l
vknbZQsZ3UgTHezq8dWThsJBvMFhEjAbpAHWJNTxjAkXyFlwwADkHASE8IT3hIKE0nilXC+AB44O
f0/+g/Dj1udzlsP6SF6F56HiRGP8TT7Fh81a9bbSIABTNp+yDpVu1yVTSeVyCe253lNLReUahwWc
3mcD89+5IIRhiAGWZp2bmM27o+0T9/yvr9wv/7vPL01OmeT+3npZFUo2HR4CGw3ViXarK7rFwdaJ
m5jJanPVq00x8dUv+V/fv3FVkCuzSOvs+V82BEpLDwysuC4qfWdTapBlaQNElMBLM3kRgvGsEqmY
a9W7buOnXTdz+9MVV9RqoUaQOqDflOcPmNW/dbt2D6ondeWdCAW5f7DUD3dPlKdFmYEoA4952G2g
KBKLuB4AB9UlckNf/OM9XcjLohAAPtwsgAgOGKcHYQubAfCihEv5tl5taJNSxcQtvv/zJRdPjOeO
YUHjBa893lFOD/kguHPes2Jhcz3xUkGs6nHdTUzlXLNp+v5w7wA5fg6NBT6WciUfMcJw1gOv/fQP
awoj525PajPxfQCv16Z0Ra2lhLhPoPPvlPhuznXIIUYhnfJVpazyjBwC/JzQHbDiecglUynEqx0F
GyxgxWLu1mdzAhEWqHoLL5nLwUbBA9hdPXCLD2Z1ExMAEVWRasvlSmltRPIrdKsjp0PDp6ohY7pL
ACWqSUiN+LBYubxu16UyEVilEspvEcoRMtswko6BVbursJBkO/cWgGOjfMymliZcp2v5MirG3BP0
1rZXDxVuzt4qaWON6z3xBjBtPdsTaZPQjlRLu5npHSStRktpD9Ib5BpJd0hxIRG3QyMWUz6LLpTn
f92QAzG1cHW0oiEDLKeE31UaMTsntZi664cKS42Bn9CNZNP5jDo3EuDCoxhn0iiLF8+qtAAtoSky
LYUKFj0bAs+K05kwkN8BSjS4c2/JQ3FBOfUJx2melaf6if0AGJUaBdesEap33OT8hKpWGD8jj0ZV
9yo5ezfJ5LGWa0pv4LmSQlGlD4oJXlOGolHHuS7/Nr4hYKXCUqMV5aViOkx02HQ6OhS4d3iwo2JD
/0m4GSx+AAhaAy7yUa2iPjdOcjYgrjTMbH5H+fZjyeFxMBY3HJvFezMK3eHPsQkA+7YWvIF75bAq
MIGOQm6LLSEulqqGHW2ys1aY2HSEJVz76hF0CassxmbyokSQGG5vHlmFCxLyGIEW3i3eEl4V9BK8
Ir4AGwkKpO0A6Xagk9h14XuN5lP6wyIKfsa3/B3sdQ4ADgWel6hiFMbyDf8nQGEiGZfrDJGR8vz+
q7KrVez0BrQIQ2Ddz9+dFNckmAEICXCM6wUDmmoTpzq635zgAFNpfsLN3CqpS4AQjtAkpqbYrJu9
Pe3ypbNz66yPE28rLSCkn40NRkjI/4/2q6LFEMJ8Kic2MkZetdKUgCbEXRjm6iCIGpdd3MlTAtRz
E2lXh0pCSJhLudpuReBOGM9jrSk9oXwt15bnIulOuoSDBu/1LLJRN9lGArBOb0JyIYQ3eA4QQ2kd
+uH/f+Ee/ea2m1uZvjR6xbAaoGXFiRO3s3bojg+rykdxegNUADwe1Py9aX31YyKjUqVFtmQ6b0nj
ekveca6UE/Xk1eMd3b9xASw8KOgihIIL92bkWXF9yB1yONSPmu7pH1/pPnUBfIcXZaEfj7n/82VV
ewm5O7GYwkkAD68Nozq4u3bgNp7siAh895tFN8w2UoDljQ2Ipjx5F5qyIc2xGTiFUFwcW5boBwxP
itAOD9WzaFU0ScQHytnxU8TZlOS9yIPhHVinQsvN3CoqrB+mKS792hGVwK1jV5wpuMkF+voMrA53
jhUmFqfz7lf/8TPrIIid1q7qKNwj99dqdeRVURRRXjDm5KXO3plSKE+UQbWQ6ENcOIi/Q7oHRhKw
lKRMJ3XTPv/7O+7ld9tyi9kgKC5a0n1I79glmFIgifilFyLIrbDx2FT8n4OFoogqjrmk0SoipQ88
hFEvjEgJY6+iXOG9ny9b50C3K2+XAgiS4+QVCePeOTi6dtAIyKJDhmvnPS84b69+3FFYmMmmlBbB
wwLUrGo/nOt/JACLG0WowWmDnjx5FTYhN5N/k+NivBFVL6pi5AyQ1wh9b1dnokjAildrjwFXBwlt
ksTxmBL47DvCQUr7eALpEQcsGs1xJvGAAGdrE7M8n6q4HxMMiNkB4PNdp43nAY4I8aVp1T5SDoyk
+zCz3LGh3rGEGIR7iJThPZFgJGl8OhHMQsCjIpe19WxfCeVXT3bUskMYROw/6if5TTA2zs7agVEa
KHyoNN/ticMBaBwsfOFp4CmMgvF57fOYx+gByPf14R6xZvk9eTtABtULdKsuyl+MJ+I6qLmCtKER
hnMQUClEYmaYK7DJYV0EhA8kKymH4zlJ8oSm6/eEeuqjWrAKCRUpRpCtfrslF3n+/rTad8a2ReeK
DD4X499g1JNPQVpbuuERPYLr3/WbmzBxBPJY5I+gcPB/PidpCNjogBPFHyqzkKzxpvj8rFOiBNIW
hIL92sxySQRSVRVHZLDx0AEWixtVge2XB9Lagv1LpWR/68ji/cKHbzTe1O3P53QTn/3plVv/cVej
upOPEu91rYMNzubvTmvDQC/B04X5roOGzZROuA7N6iTkZ/NKwIvwO8QGKO2slpWj8sRaqBx4P0QF
hMRwrpCaRgYGz5JqHyDOoTooYcnMiHEOhwqwCBPKO8cqAXNjP0MxNJNUX9yLv264v/tPX36SZ8LJ
Nr1clObT+g/bbnqxGHJZV2DcF2gRkBm5fzRDH+3apPFEkv5PC1s4VPDEoD1cddfEIMGKNQlYzd4p
RVU5G1hKFRS11m7XQkSvS8XjITVvPt+zIsiQ55ouy5LD1v+GfI1kX/MpGClqDpXc8W/uuEzubAqJ
4v0U0pLaIG8wCq7yjbeYU8sPoERYpNmVzbZRJ8i1HFTdmqq5Zdd1HTdbneqNjbtJ3j3eEf+n8vah
hmLAl3UKTQF6CIckCfadl4dqmVFbE7pV6LZN5hQloNALxcErgQYbcsCSAJwWjOUDxAKOFDDn7025
+ZUpJSvPapxg496ic+UW+/DcS23+rpM67eH2kVqp2NDX3pnQNUUQgIpQ1ueiODTnVqbe8c5VCDoh
d2UtNoDRSbnm6scNFXmYMiSttmZb/Cs0rPjsSPkA5D6XFWzYAUvcqoSbv4s77SzG59ROJ7SoQ1g3
3Mb9m70zKe8FWZXqYc305K8ZsAAWcm2EqVAyaHmBtEm+KZE60no8DTCaKPSq7NK5tMBKUj4HVQE1
h+pprwxuFFGDT8L73sFRKDhclg3NLve8qltfzF/3Wwl2ScamRu5m/fG2ku43IfGOJ08fJdywuTuT
AiGAS/2pq4fytEiao29PUp0UBUWhhQczWq9UsTGoNu8LIcEmTZ5KJ/S8EDstLAw21IAVbPTNDiUr
ihztVCRUd91GzgnOHm1LFHgkipdPybtn7h/zCrwEOF6YJkfN5OQZAlwaMozA3sLEe8EwmYyrqRmw
wrNCbwyT8kJIvL9jAbCC3Thb+XIhSrgnboTXRxiohuRaUwqpeEFAyYPf3Na05L11pItaAi3koiEq
A2ZQCgAlgOd9KQuAj5CTsBDTCK7jplpz8MjohQ32pgXACnbjzPI5lqO8biOvRNhHhwReEmEfBtkT
vhg6+JCSybeRT2WcXO2oIfb6BpVCxmfNF947UUjTyZs2eQh6A7myR//mlsQo6QzgGtAXyIVAjDIe
jyl3tr9RltQ3lByIzzepknrZFgAr2I0zE6RzN8LwkCgCwB9T0h39+UgyWp5TOmkDSosmY0wIST6L
KqdX4P0Q3UbAHElP12MtkZdRa0DeZ8+DViquAhNs+Tj9hlFXAM/LwJdcKasQFNDDW6Pjg/dg1VgG
Cd+QCzkgC4AVLNhHwIqmYQAllbY+QD/rT83HibhADFDQgNmO0Rr4G0JFtKgI8z4EGgz2OGi2RXuY
WS4KjHhewk6Y7/wbqgOenMCsGVEqJjLy5qgurv2wLb4X7wVqBIUKAA4By9s/m+9JLI+KBcAKFuwD
Rph3fGBy24RnppVuhQBCPH3PHMy4NWwTvnl1UACmOEez8YfzcISNkEVNorokYMLrwlvzvYSaoFNv
CXjaNFAzLUdyyB3lymDOV8q8Nxt2K4s5CVjSWYCXNUJ4FQDrHesao5lvrORsI9pvSogS7OqMKUtU
+mZvT7lsMeOatXZPM70T5Z8AEtpq8LAYIoHMERVCOFefqvIprIwASBLIkVKotNujMfIn+xWXzqc1
KDWVTblM1MQMFSKbjbs7X8yreqnnkffXVY+iGqqjLoJRsgBYp4xFJyWIStPyAV0nDSG4N+OU2Axm
/YB4SxpcslBQhwUgQijm5WKo4qG4AHudVhzWCmHYWZUWaN6Ht4XGvcka2/qj7YdQE8/rpFx3+5vH
ymXVjhvSZQcMoT/Qi0khgDYfzStsd6Qqihzy57+9a1r5I0aNCIB1CqzgzCA9c7RXVTjgBdIgM8Jo
DjY+JumXZle6UrWTZg+sqBKSVIcEirwR+SYAgkONqh0k0rMYXhRj5F2sKw8OsGpFHhueHSEogINU
MmsPYNp6uqfX5XH0K+LJ0dojhnyzo3ULcP3mf/yZHbIjqPMWACtyzakEUZXhtILZrNg/zWTdVo8n
E2yIvCNUSxvtHgi8V2b4I0ZYRWUOj8ZPo+E5IXqSMAAwGCTbqjdFeWCGgAbBnvE14Fox09FPczZd
rJRae3yIx1rE2/c8rjjjuypNJeI1QadqhyrghofHOl6OZJVHLhYcZ8BiQXtVSxKluN54VLjcKDRO
LRXlVUlSVkNHh3s00jgZoRR8JmgFbGx5RMxcLGaU5Mbz0KTqTwALuSjJNOOppKwaqNxVN0q0J2Ku
0+wI2BhoyvOfp/kelVy8Np4fIzlPCOqnN5Mjo10H8CGPNr1U0nrlb3wFkccBVhyqrGfWqSR5RhSs
xhKwACsSnPuvjnRjbUS7TYkBnFiIyM7gboe81ZBZ1/VGZrG5Y3lLRJs+lXlMeC+a/r00YTylDwCX
5ijHWRMm32xzlSnIREM7YjHXbLZcrdLUBO3MOekDePSiJ6RMK0tjuVh/SZvwTMgIGKGiy3uHW9VV
u46lLwAsG2jbtmlQuaSB5oiv2bEDLNz6vY0jNdgCSrlCRknVaLaVTkl6w4INn7VPAdOdrxYFRhAp
OYTwnj2FALZ4q9V2c7cnoyGu7wINmuqACI9VSImss0a/GwNfIBY3TwyV1PMAhSYDVVs9PhVAizdH
vhT+FIcnr4WsNMBLhdLPijxB+SFZF7ue91A7qrtmo61xaQDwqNvYARY5AnJUnGIL92cknMaiYxGx
gHD9gw2P9ZQNYjGr7Erd1Er63EsASfrxhXRvdHv7Vts9/+uGdKnm0u+fnsShxd/BZ7r3i2hYaSnj
uhIeNJZ7u91V/mrh7tR7W2/e+34ZjlptutxkRnpfas9ptRXK8RqEgY1ooAr/h3xKfyKgOrNcVHRw
tHuidIUS9Y22BqUyg5DnG3UbO8CanJ/QYnv5t02BFScveQTyAJUjppgEG67wvqFwKZtPaSIMiIUX
wv0kZ0X+RwWUeExAgSeEVzNzazLiK6UETm8ny9OZVE+f68d/eenufrPkWvQRRrhEgYbRcbc+n9NU
5rPmrwAZQDBfNBoD+QjoEYSyACfSycwTJP/26N/cFjfLe4CZSCV36/me1i/vm7/9/Lcr+l3ijKA5
zDZ2gKW8BCPSmzYinLif7+V6F9Ku2mlc91sMdgaTMF655p79ecO1G215T0zk0WTp2bxACuDinopf
F7W18B9eyfzKpAAH1U8AjL9/I58Vc/rbhYgtzmOXHswo3+kPNmYKAFYK685hKvZUGy5HBVJ9glaF
rp/U3aufdvUeqU5qBN2p9xSLxZSrIpVBagMiKV4XxNJPFRFGxcYOsDDyECwGVX4ipUeIePUq/WMh
JBwGI1yioguC+IZgvGWAhgEW5ICgMgAw8mS0n636hlfFvWc+IlrySB8Tai3cn34jn0VFzpMvUUg4
YChpqyMgQ7MLsDrvTEueC8B59XhHHl4iZbyqo70Thag8J+8fFYj3PXcsFpMOvE/We+9xXGwsAYv4
n5lthAuEFbjT5LSUjG1G/VjBbrRBV1A7SzHr2q2KgAXAApzEWYpb+wr3E5DxswHRmWpzJnWdktkA
GDQIvLFm3SYonQYteTXZlFu8PxPlOjsCjHc8sjMayXPUFQBY3lur2ZJCA7m1hbvT+hx+TuGHLJlO
uGR6OCcK9WtjCViUg3G5CQnJRaTKdYUJLGpOuGA33+Q5qfm4K5DCoyJ57acrU1Gj4sbvoR6gq27U
AafEOblMnoM8Fx4KRE7TtDIi52kjlJy5VRrcII543GUm0pKmgYDKQF8KPnhto6SscBk2loDFmmBh
3vpizv3z//7t61Ff5C1IxJ/Qm2WCaSRTwyj7m2dIKRPyIXZH4hmiqBQ/l0u6n3hM1ptn3gvJaypw
e6/KqiAmklWlBXge0QMY39UyUuhl597wDEFLCKBGWK6rGhjA6tM2loB1eqgFfVq4+AwL2Hq2p3wG
GkP8jjIxSVdkPILdLCNsQs1zh9Hu96dVOdOMv2xSP6tCX9k8UscCo9/RngIQqKyVdypu68W+SJng
kz+gyG3BrbpMw6sDoCj0ZLqmqcV7/tCMw2Bv2lhfJZMIocO97IpzBffVv7uvUzaVS2oh77w4cAdb
cF5SCh2C3RwjYb2zdujyU1ljemdTbn/rWMJ5fE/F8MEvb+mx1XJdoEQIli2kJFm883JffDzuKx4Z
z3NetvrFrNtTLs0WybuRjohJoSHYp21sAYvy9/aLA+U+JhcnXIkkasLGidONzyaYWSq648OaSt+Q
BsfNZdfg2qjHkg0NEHgZE9jV0AXOqk4waGPTE1rB+AZ0YLmTD6o22/KuCAU5kNA+J5HtpzZzf4uz
BR1UE7N5hYMk4yfnrMn5sk0eVqUp7x2WevWkYUA5YlLGl2VjB1gaeV9tqpdwd/1QbTlM6DUujY1W
AqygPmQKMW1YWiQ2ftrT5vhQK8eomW9LIRmNhEl39cBNMFp9KqfqFqJ1XCtm9V3HBG1Ahi/AB6Dh
PfB/qoC6f5IQhpSZ7lUVATRcZ76niVnNzGqAN1WHq7quAFUetQWUGKgaTgXv/aw2FoDFIqGFwsvb
ctKyEemypwve8Ker6o2NIo9r8XfaMRvV1Grr8XhlyIiclyg4jNcLPSg4StIsjzl3fFCTe0Bpn01m
E4u5ZjHliD5WhofkyIgsriuJ7oFYNLNQGlX1VlTqT6gfz5ODeU0eRiU4mUm4+dkp/R+iaaVs7czp
fFKKHdxf8pWXZeofrLek0uDFITk86bKAmhHsbDb6gNV1rlFtued/3dSiIbnZicra4tYwjQTOToLe
sE6vLYOwgsQ7G4xqVKPedus/bClpG09mR5dZTGvLIaOkjvT5EaVj89N3yQZDCYFNBv3Dq14gYkdS
+0OgdbxXUZ4QDafbP1sYyNv0Sgo9/agoJ0nljXuDZ0zrFcNNYZCX5iekFQVowFoH3EiyE+byHNbO
0zYN9ku4tQA813RvjetgcjToXWGjfgAO0kYesLquK/ApMo13fkKLhYVJ6MC4ccCIBaqJJHFO3JSa
SwvTeZ3QbGAoEIAd5XMkbW2xj2ZnPH156493VF0jzDJVgpj69NhgeJhsPsAL7xN7+sd19+g3txUu
vg/IydNAzvRe0UDeZ8tyVqaJTk6yo1YV3r+BVVb3nVc0gqaFfLxvAEo9pZGsCwlw7jFelgT7zkBj
sY8Sjc9xr7+PCPXvGOtm/YdtN3d3SgcledFGtaEiwMgefpdgow9YHTvh2UxaoFFrBqRRL8wHWOEd
kHSnPw0WM2S+nlhau6O/Q0ubvFerWXSjOJPXwpa2hcMt+iuj/jt5LE1dw+pxzVQu46bbxM/IAQFy
yPhOzuWllsB189YBMCLBxEEZnCujIcRcq46+eto16qa6kUqhwLnrtp4f6GDifRH66720GdJQVVsO
n43Dh/tMXou2rLNgKo8FgPmizYbXBAhZX3jwAP1pBQgVKVABicXc/Mq0Gral5V7KutLcuyPsg40x
YBlJNKHwpTibdIkEuQ3LeXiwIgxgwUm1MZdSMlRghapkm5PZkrp4ZCSiyWWNorHhNOyg0nC5elPD
ETC8F2t9qavfTYqYCORFyW4va8I15nBARjiZTcqLISzjukpm+D0yLhc1A4G2QJMKLl4f75+w/ujA
8kQrXy0IFFByAEg0bJSOhkijHVDh8TwWb5Fc0qf68lg7qC0Q3uFxE+ryM0I8G1zRUsg8f2/KFaJ8
GmuGAwA+n/WvGpgTjtLMHOzsNvpXS/K4hAcNnaCdduoNxQaBVXRCatZcm9FL1viqMeKcnPEI2JiY
Qm90KNS8AAAgAElEQVQaua7T0cCoWDTCirwVG5tKICG0+t4AHUIlzcTDm7A8EtdDlcOGhWeS62VI
Qq2l/Nb+q7JJDUfjqQZl3AtfsTUZZFOMxUPmYIEQnIdIykzBKMTz2lnyENPmIQKyFAUIzaTJ/okK
sPeseA6Iq7weoIxSKOtCKqDNttv4cVcTdPA0eTxeqNq+JGscF4AlkoTaIX91Hht5wCKrIE9hvavq
kG+JaLdMHxsDlLwGLj/XVN0oJOJ0rJ7UtbDYIL5TntxYlLEYKWPDstm3XxhbHM/Iz8vDQ1IVNQIr
DwCa3ZiIGbk2knLBk6DKyGO4nuSXBjnFxefVNHG53XWJtOmtA5xWlWy5nfKBQjabfmxJeT6HdLIO
ajb7D48nEXOl2cKZkt/2ugkr0MScwk15ak0r2GB4otBguH5cBwo7PAYvjvfMNeS99GYJBjuzjTxg
sahwvdlaKETy1Y3ZRmP8OPkEFirgw0Lie5pjSd6yypmse7h1JEVHFv3iAzrqR5tESkGBTc3nhoOV
yqUUKrP5DJxe5/UAMfJ9XGNdsx5AJXt5JvI1XNtBtp8ATJKTcVADkGgxwNCYrOO629sou5P9moab
kpP0Yb/Gv+dS7nDz2JQRClQ88wKesxhJeT771vN9t/Py0D341bKNAROKG4jrcxfSUgMhvOZ6whcD
tASaKJbShB0BaOhVPbuNPmBFp+LU/IT4OFSCCHmoBpa3j12M0K/S1iLTgqL61GjJk/J63qWvl9zd
bxbdOJkkeOVBdYzWQdgVt+kuTf99OiHQgK4AgHhv6jSb229awGpQHCyvccUXwMBrkVsjNwTQeg32
w60Tt/b9pivvVcTPSmeMc0WOEvUF5d+msmcefIqpH3GxqM+6+t22Ozms63k1KxzwIdxMJVzlsCqN
q/m70/Ly/PVEyz0/mRFIwWmzcHQ0K86XYWMBWBgnKLkNjQeP5EQot++vl7V4WLieo7X8aE5gpcqh
8jetaGLJ6HpVbxsbG6Di85tn5dTv5vlpbFASzGw2VQA7HfHXINkqET5hRQo/JbkYcbUGZTYuvuOe
/G5NYAQAtdt2v/yQ09IcntVyz8vG4FuRt3r1467UGwATpJDPM3gEoOE5jKxqYakfy8XnJSmPxydi
aDbVCxktHM24472aXo/8F97n3MpkyGWd0cYGsDh9aSOhqrP2eNsVp/Nqfl3+bK7XrkPViam7f/6n
Jwr7NMMum1TrziiHgO81JrmQaI+Amg0lsCL0YwxVF6G8hBLMAqtovDrXicfixQBmrzZ2dP1oLh9U
6MOtAGiQKFZVcPtEQxvoCS2UcvIAeW01GWcAFTuISAcgn8wT3Pv5ooTzAFUmMJ8HsAAmQl36FQFt
Pi/gBeWFUfH8GwUJ8liqZtZspiHhswoZVDWr0fixw6p7snWsBLxSFoTO5FCj/CBtOxQ1+EqSuhi3
dTiugMWNZqGUWgVb5PuVXoWIag95Dg2iOKzJu5KmdgRanlw6TgaA41US7mgCDRriUciMUVH11VU8
K5E48UCjcI0NCjES4Jq9Pfhr6FU3eX0AgiZ1wtMsE3N8UtzZ7D4/e5Lkupqep3PGOSM8pNXonK+t
9AF50a5zR7R4TZhiLdVQGubx8KA9aLZlRI8xcivjuGyWoLz6yZw8Qqbz8HMq2Z7m4N8z15JcGRFB
aX7CIoH02Gzbd2ysPjmLRBNOknF3sHHsdlcPVXaHBc/JKzZ7gTHfMTd7q6QTES+DxegaJgkyLub7
80gYi+qhAZ72ZcxsAyuupa5PZJ7P5jXXCQNVpbukcJqDiJBQMwg91QTcjAoo2vid6GfR7wGQVpTs
7ok3nuc1I/4ZXhkAri6JREyKD7wXRsg//8uGu/OzBeXS/HvzrHxRGlQEcKJEwMrHyL/xc38oaCQY
nMA4+a6G2109cM1qQekNPzF63Gx8dmBkqDBQFeKGU0nilPVtGyxEPAGaYPEwapWqOus5rXHJU7Pj
dbkkeRLzU4aZl9cSi1xUgoi35icge88B8OKa0o/IAQCB0rfwXJbxvixPZVwvyL5sfA2dwJtJvn7P
vE8rGqhMF3mJ539NPhNtSuSheA7ARsMtaual8z54jMJmlEyjtAQ0Crw+AN84f0ZtgHKDDlvl0KRx
vNvH6C7mEuI9br/Yl8KqGPN3p9w42njtwFPGorn/i2WRG31C1k/gRX0UdQcWHpvBFt54XSoAvbxz
rM0IYx2VTg2dhVEuieKktexUmmp/gR7CJsUzY9OSL+TvLtt4f/R+ossFIJBP41DCe9KQiomMa6A4
EY8ZWKlFxsI6T3K9iPfH8wFQvr3r7eEYHIoUHgiVeS1GBnqw4vU4EBViI2+jkV1JVTUBQN5XvdqK
vLaC3j95wNk7U27z2a6q2yTqxzGfNV678K0FB1nwdEKdk+1g68j94f94rJFPLH4ULDk9H/xy2Y2T
sdEJl+kR3Hiyp2kxaaYLNTvSBeO6kccBrOA7QRM5OaiItwWwXVWPHN6R9NshAkfFATwQgQbTlBlQ
mk1q8/up3n5mIZ9R4n+nQtp+jZkAVCyf/H5dNBrCN+gOrYax4K1fta5qYaNC50VHldWNv+2KfrF4
b9otPVxQ0Qd+G4n8zWd7Arjy9ol4YzO3xxOsxhqwZOL6vTWHLs9I85wl45lbV6iqP27t+y03d2fK
5QkNqdaMOMWB5C4eqN/MGkYK96nVdnvrRyJnwqsihMFL2f3xUD17cJSs0fxq3ieHCk3OVOUAILir
7ab19gFWluuxvJr1SibU/KzfH1QFCoDDoIwkO3nQqfmCrh3XCU9KLHrkcFCSmASMmlpDDGWlUjm1
VHQr3yyqyOGBDfBD2QFPlULQwn14Y7mxluseb8B6y1hAsLrh5VDyJvxhgbBgOLm3KZ3XW9qUoz40
APB+I/cUjdUCuAhhAAPoADyO/AoVMU/CvDJ9p+5rtjjVPvI7/Jv35AeWKnfVMekgUBQvS9yxprXw
+CEQA7MolzZ/b9o9+dc1eeqEjar40VMJCReia6SIKiqIc5r2w+9OA73kjnIpPVa/i8eUQzythDFu
Ntq77gKG98SpxmZEHZLqIaEjm2L7202bHXeN3hUbkgqcl8SRpvpVvJ2ousY3hFRH+1WpkopjFWmN
sVGv9NpEM/4QF5QaA1wr6WS15D1x76i4+fettpkkdAzzGDmEGpWGcmB4Xzz+fXMJz2OeLoEXpyoq
bUxqO+yqiGHvx4oVdBFINYKpORrg+v7nlOcf2PCyAFjvWRyczBo8MZFWHoTT7Xi/oknCJHRx4znd
Raik9J81RvjZwKYlcirfk5glRDnTBunSC0kzNhI3Jl3MQgcwUCW4ShG4eJLKllfCQGa6GCk5uCs3
AGj5s9meggbXFw6UBqs22y5BQSXq8dN7j+SFEr7fsUobTc3trB7Ig5zhQOqD4IqnR+4PhYa5lSmt
Hd8lIfmbVkdcK59P42deLnnsyH4XsABY77Ous7zCfEFKBSRJSXjO3i5JIliNv23zcPh9cabgirMm
EPg+U2KVEKTSlGdCBZKFu/Ro1pVm88bv+shalY4T02DKdbf5bF8nuMrhZaR9a9JU/5Da52WYzWyE
X5VRyf1aE8AxZ6TUt1QcvIzLa2mcmOgNeKdWnbP7R3hPGAtDHZ4TJOJ+GPkCv5eHbvHhjCX0NdAE
EpvT90x8piDAJdOaqDbk8QXV0bNZAKz3mLTBo3yWJvWWoTc05UlsvTxQvsH4NQi2Nd3Lbzfdl//2
ntor3meUqhkpBoUCj2rhnnFoXv51w618vShhtw+SF6MpL6hG8BwQX6lCkRfhfQFgj/951X3z7x+8
sXEv0wgJF+6lb/RUb/oIeZ/k13wOqXkKrAjN1E7UME8HoMIzGwiYT+d6uT1E/HrVyQisSMSDtK+e
7MjLu/fz5ZEv4gzKAmC9ZQAUrGIMj4jTl8GbCLDVqs3eqC9yCpyYcGvYDWpHMa7iG8AHqDBNmnCS
AQwIxWHQA+jkZyAClSO+fzv5y9/j6R1slBVqEGLY5uuq1I3XR3hx58v50DwbGcxwQm68XtEHSpmo
3xHNLGO+c9BIgaLaNC8slRDPjHvbb78jISCvuf183939elH3jXuDh8d6YnlAdwDY7ny5oLRAyE+d
3QJgvWWcxIAJ7rpUCUicxuNiFgNQZBoo34vpnYyrFcOHE1QXTxNM2SibT/d04iO14tsp+FvCBUry
hCSw6RlQYElfIz3a9JqqFjmvQ9sHYAUwAlQkc+/8bF6lb83kG+NBnKJciELQULEEygC5Ry/P7AsG
YrWj6e8rdRkbVa9xZcm4PFh4U/20EuExES7j+bIu8NzI93mVELTwOaDwqqHN+OpfsDEArJ5Gt2bl
2cLTNJd8+h0G8nmNU1GCdABW1CUfjzTPfUuFJrRUGj0RtrdzOX4eIiepD0swTnTCBGgDYkFHeRZy
VMqtRL/n/yxoQNDrj0Mk5Hu8AUKPcfWsCOm49nigXshP4nitjjwcuFV+bJvE8iRYZUl6QkMUSvWj
jt1rqq0H7SMjmnre1AVMQ10nCJmnVUXltfk34acawmG1p5MCTakvBLAaH8CCVX2yz8ABUwj1AyJY
LJn81MVzIJLeNQDs9Xo1LXFr1RznWi2TBiHsILeFd/R2HspK3Naa4cFKnlAn6s9L0XjblVYUn4H5
eWg6+W5+KnAKE/H6Wh1JqFC95POJnzOmYGV68zUBguYJMkQi0u4CqPCuAA5de2gMKsNFFbletRDN
/kh5IhlXaA3fDvUFr2N/YS8rnXQLd02h1qutJubs+aTYyjoxYYtg4wJYbHj4MywIwi04U+LTxGPn
0jZ621jUklSOEEajqTrGklYeotbSgkPug81CaLf8cNb6EU+v70jZgPdjUiFwgAAYq/hpOg85FGgN
Ykib6gDho8nqWvincr0mLbdEjARMoVjkp7I9JYBxMgCHUJkCBqEV1JPpyVLEcrdiiSRbSLBHulKq
wilkxiPv6CDgb3uyxnCyJOaXV1jIveU5cuSWLnJ5o15F4/Od6L3QU8hr8ZpovMt7DzZGgNUCRJwW
FfIcq99vq+H29hfz/bUukO9IxjWDkHwIC548BDkjBOwAFfJSVJT4OXkkA6I3jSEV/jTnpFeJW6qT
FrJSLeJUR0u+1UQ9IJLWVeNszvSoesRDSIfO3f1mQU2xJ3sVVzmo6XHnkfcdBQPsCbPxrgAYWlrw
NslbefJlj7oQDXsAuPBaufZookE9wAuykNDCee4hCXs4eBtPdvV38LtIA1zUDCylx2MyPM2O23x5
oHBfShdjdtiMNWBhLABNtMkkpMzIWKVB6Yb7zn4S7KzZeuT1oHPEQlv5ekF5pPeBFeaHai7ctVwG
AETiHJDidBdYaUQVbRpecrjhJqazei2Qk+fWput2RRA93qWSVXQbna5oDvzN/V8suXEyjVlDt6yY
UeIaT7VSbmgyEqFXT7GT79uvq4GAUjqf1EGRyuBB2+GhXFW3a8oORZszyH0bTLuOdSV02pZjE5t+
Lu9ufzmvPNsgpwiNiw0vYGkwniVR86WcOz6oKafTL4nRRnsxQKDS6xlECYAXe/bnDXGwyFedpWeO
97P0aEbPhXQI0iCEccgzw+PyvCBN8hEbOq5GXt6Dz12l81AoUq5+DJjlNdiA9wdRFI9y3IweT+65
xstnGIJhA19VDYxyUwqlT1UDVTQhp6W/TbwGK5RK9yqSE8JQTiW9MPEgr//3413597Ly1aLA07ff
SCqZSjB6M8HGB7AETNEEYk4xn4/o14woWlfYIAkVessSMVc7bOhntz6b00n8dsKbDVKJgE4VviRT
eEyxE0Z48raFexpzvl+ReKB/t+lc+pQ65uvcGc9TOa7LywOgmPMH8JEcRsKZU3rcTPpV5IKiEAvR
O58896OzyB1KcJAcYaSSoAJK9ByqJne67mDzSGE+94rG7UwubZLYeavo9Wu8Tz/KXkz74FGNJ2AB
UIAKeQupSra7NpF31zaz3/ycqIihoZUNwCDr0RPr+4BJdRRi6HFKBETAisQuyW4WH69DHsRGttvf
sCD9SY1ciR8yyvdSw6Qb/1ZJ+S/eCyEfbGcN8oymytQZNZaIKyfj+8q8xjwhJKqVfiz7zK3JaEqx
GznzlJG3pX8w8lB4l1zTQiZpeSB+rjwU19wex/d4Nb4q93pSN49BlyqupL0GZUykrR+zmJUk9qCv
6SCnXQcbQsACnPY3jgUQLEpcd1x/E+s/0GM4JQm3mGiC50OSFhCjq/9TgAWIAHosNP86nNQoNkAM
hcF8vJcVAHqSKKc+zHNOakDNV6xIjJNQp52HpLuXEHGuoL8z6ZOuqlIaoCDhO/udN8JAkv9UmyjX
ozQ5quqnAAvFDOV2YqboeZrEWTsy3pX4aVHDea8aSDWXqmxUDeS5CL9ZAwKhqBrI/SXUw1uFWOr1
u4INhw3VysfxABw2frKZcrSzAFgsyi9+u+JefLvpdlYPBWS2kJNuerkksFApOSISnsUACsI5RjWx
ifCEGEyB2iOeHACogZqMCKu1lKy9+/WSK0zlo9Cuo7FThH9swPcd3OJ4JWJKHrsPzGll08K7gmn/
ujw/mkY19fG/rKryq+u9MqkqrDTQu84dRrQVGsZR3jxdDfQTl7nueKKAPxw55TUjoT+rBsbltU5M
5tRHyL3Ldy0h/jHzE4LCePnrtaECLGMzm1LC1OKUwiKTWTG2OLwXQjcoLvCacPcJGwGrXDF77soP
m0E0iVJGo8n9SCg2Fh4cIQogSnhanC7IA1JvYcTlovJE2EJfG3LC/ZiBmxtpAzO45niyEGT9LEHu
Gvd9f6PsZpZo/H49c/CNaiB683hmhbTAStSF09VAx72qqWjCQbHz4qDHpftY47i4XzTAV1tKD4wj
/+2m2JABFqkNS16y0FhkahyNGWjASyIvkYgZOXPth22FUoDIg9/cvtD0FjwaS5w69/K7TTW0cjoz
dAHPixBvf7Mszo7vP8RsQyWjsvbrZHqw9xteEdeUvJ0GPOjeZmwMfKQjZuG8EXhVDWxF4+qzb1YD
ARab7tNxXcDKAxs5wGI2ojZYn6gS4h/xrmDUr363Za1YAGizozVHThIPely11a/LhgqwxG0iFFyZ
kkga7HYWbqPeVBKcJLdParNwCevIPRFekFj9EGfqU+blSgjNUF6gQtepd8SKVnc+c+W65h3gcml2
X8JaQmhshkQatNk+bhw0Oy/2pTnmh59yIVXA4NpGY8a419lWuid8h5f1ZjWQpL09pwcrVREh4WpS
jrU9eSllUQ0+0OKkFESDRD+j5UuuMGkePf2G5EvJU1IkYbqQwlAqwhPpC6+zYCMGWBihH6ebV96k
x4/QjFOvUW8rh0HIwCRnPC7CQMnS0hsW6yNUQad7ZUqenNEWrG9NiqNRE7P6w6yTJpr021Hlqcvs
uosMvxsnQ6IHVno04cZ6AC1nqZ7LVEKHDocRk4ykfBCpw2ooiJrRX/cMEkKqWqwhGgZ8vgOa5yLE
t3v4fqULXpdcFwM3eD4pK+SZvdjR+0GIkY4H1GcpBqDCWsunXbGVf6dwEmyMAQsDnDjZ8LJInHKy
+eoQJya9hKcXzYdO0POYMddTbumzWbf9bF+qDbTmCJDaVirX6R1J4bJh1EgNMbRpoUmwDxv3jeos
UsUAE9w0wj2qpxw8GEWWvbVDVz2quWa15WpRjyaedPX4WOEjhwhA5DlPajzm/keAKBWOVscdbBy5
2ZWp3sQcPC4/bh6uHPnKk32a22tucuE1WGnS9GROMsr0djJBnPWIV0WoCSb6KeLqHYwoGsHGGLAw
KAKUpVnUjOVSm0ukHnlZLQ+sPaqSRxOmZMliJifCz+Bs+fyVHzWeSCfd0YElj4N93PCG2OirP1i+
iFAbD4e2JooZ0o+fSKv9CsPTgkRLIzggh8oC9ITZ25PyrgEtAAQPyoeEJhnU1TQkQAz6Cd4VPDcO
G0JLyL0k5kn2E25SAOBgIt1gubOYfkeV8t7PF93xXlX8Og4owkQeR3gL6JEK4DU+JYEdbAwAiwX5
Nn9GC+OSjc20+GBWY8MhkfbGMdFzGCXbdcKzYcp1N7VQEKM6hIQfN4V4jJlHtofrtjghAIFCwszB
t4d8SKb5Pl/T+je5RYDHt78g/VOcLVilFjpDRCbGc4rH4jrsADH01/3QCrxmcqFzd6d6YSi0Eki+
pkzKmHsDO75qVIdn8prMzHNREcb7Y/isdLqOau7hb26LWhMIpGMOWNdpnLKc5GwumpDZXJjnBUkH
Czb2FPyvlokMVpr6/5XN7BtS0IIC4uWEPfBvPt93Sw9mPsp/osXGz/DD+0L103hYFh6aUkZH6rFP
/7Qu7htVZCqP3EvuG14auSiIxuTS8JyUrAes0km9J3Ki4t5VTIDROhnMe+N+k5rg/U9n4NZNSP6I
1yeFEagQ/VsArAsaG0NSJUzu3asqj4ECAy00+j1qD0wbjltbDicu3hn5tVEfwnpRAxjmVyaVG5IH
PZmNev6OBQiM4HpfPhIA4UDgseQzpewpxVZTh6WTgHuhIbD1lpu7Oy1vGJACEAE4Ohrw0NDvx1tG
hpoK7+LDWd1LgVUuIqmiXJpCaNES+rw3DiPybgAglUwaqcmHwajHy1MB6IqGhIyyhZ3ThxGW5CYQ
DyR/kjWwinrgvH44yVgRXGtNd7hzrN/DWg/8nXcNtYriXEEelU+WcygANOSp8G7Y+O+ClinCnojM
G+UPU3HlMtWrSfUxk+hRUDRUJArdARXfnMw9pBrIzyEcE1aWt49VDJBqhyS435wlKLCSGq1Vofk5
HDIek3Sv27fUOhSsbwuA1YexGDl1Ky/qCv3g/FBiN3llawXh/zyO8II2HZOGIVEf+tc+xHQHBAAU
81pSAh5CbIY66FpOJt75O9jqXvSQpvf2UVtgRxjmKRLSo5rJKS/FF14yzyslh7jJAXGfCD3n77bd
7lrM1SpNV4hGzEu6OpKF6Ykret14NbybYKCRWjs90PRDZ4P1bwGw+jA2AuEDC31v/VCDUeFh+b41
TeCJJv26YkZVI1jYVLcCYH3YrOra0Fc+YbQDQrOf/rAmAq9xp95MYkN5kO6+Bnq01FMKbw7AAujw
gk8OTdmj2EQB1tRavWKrZ9NT+cXT4+cINFJY4bUIOQEtL3ft81GEmrlCJqpQvwYr3gfg5vscgw3G
AmD1YZyqAA/qo5AZASPAicUKcLGB6EMkx4VkTa7L2Ckrsb9h4jui1xQ4O9jyZ3MKAQF2PK35e9Mm
Kc3g01pLX2+3WZ3WBvPcLDyel3/b6vUdMvwDAUSqeAy+BRiNSc8syqaa6pVwT5viaDtSey1MWqdE
E5IyelxI1jCxqd5SJwV5KpNnNlkb7j//ZkCKvO5LkK0ZVwuA1acZqz0mfSU2CTkrFjqbAKVQEr7Q
L2jQ9Ynh1KkRZAphahb++DL6uBuAgOYX15WD4MVfNtytL+bF0xI4ILL3gb5Q34zOVGX6SCEQe+lk
jgWAafYOk7vhRsWiHsa6mq0RYGQkG/krDhBIn4APeTM8KcBob70sr8ukamICPwaCwBUjpwnQ4WWR
xEe2+3DnRLytkLMcjAXA6tMIH2BLU/1D/wpvidwJ5XONKp/M2UkdMak93+inP6yLoAh7njCDxO3E
ZNbd/9Wt6/5IN8K4Rgw1xeXcWTt028/3RAglFOMQ4DqTj7KKK90F9ncQeJH6QTIb8AEo4HJx/Tk4
KIBQ0eXv+BvAh8OGezC7Mu3ajY4qvxBAAS303/meB/PceHkoePAc/F6HTbMjgOL+xuM5mhgjSaOm
1sBZ5LSDnc0CYA0iURxpc9FbpvCjEWl3o9WkMfaW0zIuVksnNqxoSI/kv2jY9mAW7O12HeNl4amQ
VBdfaq+i1hqAgBwi1xNeFd4N158vqn14q5JTjpsuGX+PDv5pAUTNH0Tt47huuvpi1Gd67TVM+2YG
pensp1QxJDwk1NO8SA6bhlUcaYIG3ADaeCOu9h3fpxh4w4OxAFgDMFOGgKhoZEWvFMFi1TDPqIJE
zkNNuRqgamPukUaRXlMybkJ+wd4wPCGIuYTL8qzoz0wblYCqXf2kq0Q511Iz/wD/ZtuuZcSXiufR
ykKfrCFOF6qtPkRDLBDvWD2haphORqqxaYEMICeJIJqe09arKLDCoiEoiaQ1vzN6TsNd96vuxNXc
5GLBCi/tiLQa2O59WwCsPow8BmBjE1u62iSSt2HAJ1VBStzJmOTEa+jPx4y7xck/tzKlDciJ7RUJ
ONWDfUi2utCbaARocN1ENWh23Iu/bbh6tSHPimog1UXug9p5Gq+9NX5GCw8SNtYsbwRfPCILP981
7uNZRsdx/+g75P7urpX1XrjffppPsMFYAKw+zPreakrukiNhI0ira+PI7a4eWpgSt1l4mjQcjZ/H
a1h6OOMe//OqyxZsQAbNtGGqyscNTwjHCJoC3qqamdsmqIfEC7pVNEPzmN21A9duTuhA0UFy1NA9
ETVBI9UGMmTpDaPgAvDhbR9snbi1H7bUs8hYt5DDGowFwOrDACEStiR4AS5m5i0+mFaehFN29btN
hYf8fGppQj1r5D/Egoa02Ggql4W3kJt4/wkf7E0DELh+G0/33JPfr8nzssKGtUHxBXDc+8WyQO3F
3zbFryL5jSd7i0ndESv9sozwcOZW0U0vWdHAwDHkJwdhAbD6ZrqnXG31UBOYEYUj7KDnDXAi9GO0
PBwhyI4kbY0dbSPAyIlw+rKYVYkKwm+fNK4V1cLbhGC3SpJRtraZjnhUtEd1u23pZt36fE75LJRp
pxcn3J2v5nU4XEVxww8YCTZYC4DVhwE48IHYAIAXJXA0nEjYkgROpCZsdDpNtqdOdRLv6C6R3GV4
J2V38h3qnwuJ2U+aChaTWYWCGtulmYRdN3dnSt6NEt/lmnJYCC6i/U5+kK+3B+AGGy4LgNWHsVEM
qJJisLMhKLdTmWJD2e/ssVSbvFAcCVlK8zZKDJ4POkstzR9EmBAPTJUlr4BZb8lTIIxUpYrJxOPx
EH0AACAASURBVO9VLXDSYyKXg6ESMaoASEUwfiovpK6D6ZwqeBwWGmaRQP1hyiZBpxIBrEbAAmD1
aQACifRGraHwhGoh+SwS7dJTivrUACNadMT1iVv1CAAC1CA0lncqYnV7TXJK6bhklMrF36IBN5tS
ZZIKY+GtBmBNn96vKuEPidF7dOgwnZ5SPcoGiJ3uD8SgHPSMpnToJYy4jybsBBsuC4DVpwE6NORK
s4nv5yfcyWFVzbd3vzLAAnDwvPCaphaKKstrmAFicydGWOT0p8L1dHtdwARAAWSEPaoi5uxnABKh
JH1w3jSd56Th1n/ckSeHdwdIrX63rbK9TQwaTU/rzPSTVkecOHStqifMkWQYq2lnBRseC4DVp/lW
G0Y/LT6YcYmUgQpJ9M7P5hWO0G8GW5oQjY2CZAmJ+Gd/eiUGNgxtP24KMCKkK6k3LaWmXcAKEFt/
vC0QO83UZjNShXz57Zaae299NifAIpfG+3r5t0338Ne3xnocO1ytg60jcbAQ5qMAsl/IuFtfzFnV
NnhaQ2MBsPo0Tm6aZSmv4+UQHlIlhNbw5396IuDKFDIatIq3ZFN+UpbTOq67e98w3p6cC7mqthJR
PE7DEipwi6q9vBeNu8sPbbq1N7wzPAZee/mRqWNCtaDvDRIjoek4i8fRcvPq8a7E+ADt5Udzym8R
PjMglbAdwifAFezmWwCsPgwgIXkOkZGyOUBD/olcFt4UErvI5kIoxYsipxRPJBQa4hlRjgfg8qWc
ciuMAtM04lNjpwBEfie1y05Xjz8ttYt3QKWR5241W/KsAEIUDXhvDH/ltcfVkIuBBZ+fsn5Dwmu6
D6azKZc+qCoMxyOG7Bm4UjffxnclD8DYCH5yDmGYOFaS4yW8iyuxOx19z1YwaV0DHutds+ex8VEJ
5y6gLKPZfbSiaDwVfShdly2a+BzjrJA9GWcNeQAcfXUqsqf7Bam6AlK1CpVbpt4EVdBhsPFdyYMw
GyQs74aqHv8kkS5ms4v1JkK3Gy0Xi2R6ASy8IkJCG8fev5eHSgQ5LjkIsbg8PbTRJ0NuxgZGpFH/
NK6WlGAZZ88voUaEazRUFgCrDyNHRJIcGsP6j7tKeIt1HQ2gsCpgQ49TGKhmaBs5tfPiQIn3fnvM
8A7om3v0mztCTlQuydswsor3QuIdza1x3ZhcXz/iC0/WZke2XbaYVqGEth2B/Zhen2GzAFh9bobp
5aLCwb/80xOFFBBARVJMJ9S/RlKXsU8GYMy0c0qkHx9W3ed/v6KKVT/GRiNPJhneeMzFpnPifD3+
55cCSt4b1bDT3KRxMg0+Tdr9kKxxrSmC79FeVTIwUoD1cjHBbrwFwOrXICPCqRLbvaVGXMkeV1tq
0VGoqAR7SmJwbBqNNm/aIIO+Er2EmGzCRkvVRzai5IVvT0oHHTLqT79fU9J/XAGrMJ13+6/Kkp3B
k0INdvvlgbxRFF/hzdFdEGw4LABWvxaLciQJWNbZKC9l4aBm3nWdDU+ot3qcLcJExqEjS6N+xIvq
uCtnFQ11nWD2YcvGWuVSve9RieA1xtVokNYAiai9ifsDqZbR9ahq5Ir0JF7s+psevwkJWvidCMMm
LtnGdyUPyEyC15K6EuKLWj6QRgasUr0J0JzodVUVJe4WldzZTP0MnpAqQNTKI7pDzDw+pFXIZS3c
mxnricN8drxbqoN+GIWXrGY6DjnFi4CMnzYNMZfqcDxFm1VCHQiluYmeNHKwwVoArEFYtDa9JnjX
D9pMmsBcNMVTCg3QD1jUfhQUlId+zIsCQoTMaoqxjRfTQIREXPSGcReP02QjqTpwzQfznFRnUYyV
dM1S0a55syUuHS+IpnxI5A/eAmANyERpyCR6YCX10CgJzynvZZTh/sB6B6zAsX5PYsAIWRVGVDG1
RyyJCCxh3IvMGjbOwA3vCg957vakm12ZtF7FuhF3t18cWP9muO4DtwBYAzCK5YSFUmCIZEw0wICe
waivL5VLCjxY6ISIVPAGYbwWuZhKKaOQFPPhTr8VyGAfJutSfYRLt/L1ooi7hIXkKlUB3q/ooOpm
EpFqxusxZMH6swBYAzA1IONBRTkreD+ABxUpxOQALSVoGRlF4ldDPQdneFC8xhs/C7TtSzM0x5iO
RG8iHLw0Ao3xuHo9WQc0o//l/3qiSi0huddGC9a/havYp5Gjkl54w8ahQ0oEKvieXkKBFQnfZkcj
vUjON6Kk+yDtND2CEx65G2Rs6GkcV9LoZRh9hwxqxcOiwoiHK93+plUKbXKOjW4DvJD8gcYipY7Q
YN23BcDqw0hsAw5bT/fdzG1TCk1GSV3pXSlP1RVYaWAnC5s5hcnBA5Y38iiMU1/7ftstPpxVQpgW
lDcA9sRUIIqzBeXXAqCd3Shu4DUT88ubog+RiT7LJZdOUi2Oi9tFuEgCXgWRA/ubAFj9WwCsPozN
T66CUGByMeI7Rb2BgJOoDo22aY7TQyi1htilyr3gaaGoSaiCpMrbAzzxAPESqHABXORdyHVJBSI7
vvSHsxpjuzoaN0bDOl9xt/1iX16Uwj4qkrGYcoj0kXKA0ALEARasfwuA1adpcWYs0Z5Mx3sj5wEJ
wMpGT8Xs54m4FjH0h8syaBLFmZy4QLSf4G0hAAhRkvcKkAFYvF/0tlQQOLRx7+Rk6G8MMisfNoi4
9I9yTz1dBPBnWhKFFA13xbtO0sPYllw1j80VQwFkEBYAqw/TGHKRNNvyUhrVlhYxJ6+f+OsnDpPX
IM/RqrX65l59zAAbQo/5u1Pu6R/X3Yu/bmiaD82+gBShChsJsT+qlpz+J14Lfr8q1VQEBo1QGYDr
bYMuknhr1wBgCCYSZhP+c4DVm20dBoSD/B55m2D9WwCsPkw9fPWWy0TETRallyzGswKs8HJK8wUB
hTyuK5juzGDXg80jzeW789WivCywh82GPhbhH9I3lcO6ZvxRGICFj/f17f/zzN3/1VJEOA3L4ywG
r44ix8aTXYWHXNvt5wdqjJ+/O63/99PNEOy1hRXZh9ETqBN0lhM0p2ogPCs8GCgMfD9/d1JSvHg3
XrOqc4npDJqrNRIsk3S3v1zQe0RpUwqm7bbyauRXAKtcKS0QxVOkF5H3SCjL9J5XP+4KcBkIi7cW
7MOGJ4oXxUGA2iuS2csPZ10OOgO5rOCtDswCYF3QSLbDxWHDA1a03DAph2WZzqddAu2lmHO7q+Ve
w7Mf7XWZk1rgeBGmUqFCHYK8CqLLeH4qwcdiSryTU8ET5A1L3A52fIpWHksoJxcSyr/wRU4MikSw
Dxv3NJEwmZ98iUpwdJ8DTg3UAmBd0Mj9EA6SByrvnQjAkETmlGVzw3zG4Fyhqc7EFmvZoUp4eS6W
plBr4GpC1UuS7YCYb8/BAwOYEBR0p2SbqW7yngE7Bmrwc6qZJObVpxgA69OmsDseRoddogXAuqCR
74EWAGCZUF/GlWYK0lN/e8GCBwxRRT2BxPxlRgca7DqZdYVj05uHzGieFc3Z1ggMaCKLQlUTAPPD
W1GY4B94B1Aj+GxIp9Dg6wc4BI8h2HVaAKwLmpLr0lfqKs/zse58QAJxPcJGlEbxYC7TyEdRKXz6
p3U3OT+hPIokVeCGJa1SaC1EUUiIN8iwUdqJilkBK8BHMzdAhpcF+E0uTLh4yMUEu0YLgHVBQ6WS
ZDvVn7PoTVGJm1wouEwhJW/lMg2wgWYBiKJZDrgWSllxWhvVhsAKrxCVUjxDQkYekytlVZqnOOB1
6SFEMhaLdhRANx4fb6maYNdrAbAuaIRL3YJ5T2cFEfrJ/OSWyzbCN4oB+5vHojf4IRixeFzFAVp3
eO/TSyU3f29KwIQHCPj6GYieU1YpdxXKkqcjzxXkaoJdlwXAuqBp4MM5/0ZAlbgiQittQ4222OvW
vxgXzaJyVFPO6vPfruiBeE57a2Ul29V24sEqChnlZU1mlXiH0Q2IBeWBYNdlYeWNmHlgIU8lqeZ2
Ryx2wBKvi/wWlUzxxqgMpuLywtCXJynP4AxyV8pvAcyw9qvW5EvVcZzH3gP0B1tHqg4TPkPCDXa1
FgBrhAxvaH+jLAoFrTWSYqZ/kQR6OqF8FUBF2OeJjOTTCBNRzzw5rAqY8Kj4NZVC+GOEitAa8MAS
yfENB7k+R7tUe2sKkZXfO0N4bC1cbQEd3i4eKnnCoPt+fguANUImljuNt4CTQCemRDmeAO0ioiW8
ZV73PZNLur1XR9Kdr1cbajMSk3+/qobt5Qczes6ryL/dpOsJyNSPG6qmMpyWlis8LWgtH5va7edP
4uF6gUeqrdLaj8fd3MqUmtIDTeR8FgBrhIwTe/nRnFu4O62wLp0524YwxVLY7FnluNZ/2NYsP/Sy
7v18Sd7VOHkDhL2dTkcS14TTa99vCbTnV6bEsyMXSBvWx7wrfv/j71Y1zQheG2ReCjW08Kz9sK2D
JJ1LBmXYc1oArBEyPCpRLPxGOOdeAJQIIzX23hcW6C4ZM+7V4daRKqk0hJPjW3ww6xYeTOvfhHPk
B6GFmMbZh68NXtXtz+dctpAR4HF9Fa4zFi7Seg92PguANWJme+DiG4FNlEiN90byLH+JGuZSCqkB
KL4nT4gHRmiH9wVV5b3GqK/5gv6OAbuE6dBC4O/ROQCY+fmIwc5uAbCCBTtlNISTe8II38j9Sa89
nRRYkZuyCmtXihYADuHdO/2D0ag1QsJapaEQPZW1aUpTCwVX3jmW9wYYBl7b2S0AVrCxNgCletRQ
mKd/V5tKtMNf0+xIrw6rXkwj/eJpUXFlEMWrH3dcKrMomsPpnBbA1Kw3rUqLlLIks02FFv13qrJo
ltFlAAASMgb7tAXACnZuw+Ng8yovM6TeAR4SdA2GQ5wcoLmO9n5cgFWaywtEJG3dZJhIwrXqKMVa
b2Wn3VaFjx7SH3+3piZ4ZHzikWQy1UUS9jzv7O2SgVmkhEGoCKWBXk+4b7vrZT1e9JIhuZRthsZG
yrmEumfJxXEIcK35P4NRaMq/SA4vANYAFr5yGojmpZMjX00DqFh4xtfK9SZLaxz8sOw4htxWW27z
6b64VZBpyUUR9tEhQFUUgGJjIndMPyaghYckryluG7VWMTVZ5yV6IkOHDBFE/o48GI9tNzrSJWON
AHB4cJBymRK9+WxfjeXDcP067Y5CZqrIqNXyxVzGj4W17A901X783Ut3sHXsfvHffubmViYv1DER
AKtPw8VHHnfz6Z67+/MlnczD6nWcxdCn3/hpV2x6mr8X7k9rw3PasgBvfBI5altiXmC33REFhMoo
IV/txLwrPCORbVOvwSqVSrqTctUEETtdV6/ZVO/d9cN3horQVL798sA9/PWtnlCihlYkE65argmc
GA8H1QFPC36WYsghoDgc71Xc+uNdt7955ObutCSbtHBvWkODP2QcCujHrXy95Obu1NzW832XzidV
gDgvSAfAuoCxQJFgwauCk/Pyb5tadJw82UJqpMdl8Tk1XWcyp022/sOOFu/KVwtuCVng4s0W+sMT
Im+1/WzPNL4yCemAEfqhrApR1ueuzGtOqOHbPLG0+jMxQkIUZ3deHLqlB7PqLPDmR4Dxt51WVyKK
et16Sx4Jm14e2onJ9uhvLumQa9ZaAlXe69TihMKxfjy5w52KQPyLf7jrEO54/udNCVRyYL1PtQSC
rR8px2HONGwp9dbbRnI+Z+4uANYZjQVM/A0/h3I2C5Y4HDY4C5wLTyL2vDdg2IzPqmEaMapdRXkJ
B9vHkXd18z0E5ZAySXGrVME7qgs8OGTwHj1Y4fBoclDc9MCyEVjZvMm46AokzRcfTAuk+RkGMJGM
1yi1dMItPZzT4BGuF6/LejEAc2o85/FLD2YuLRws75yYh+ece/V4xx3tnrjbXyz0RpSd1wAdrgef
ffZWyS1/PqfXSOVSbu7O5BuP5ToyAKW8U9HawKudnJsQuBGVsFeYlH0eC4B1RmNheW+KpDMs8GwH
ET/mDcYUGqm37KaHRH2aBmnwTdQ4zWYsTufkOQzDlB1ND0oldL9gnFurTDQ3UrKsFp2xwfinvKxU
ovd7PbbdjtRjm27lywV5GKfxhjVAmOwnQ8NoJ9yD3kAIhb4YHh3kXigO0CfOa41qU/kg2qoA2Q95
aLwm74FQlvcPeCw/Qh77goA1Y541gIznNrVU0jUi52fyRa/fB48hFCTvlUynlEIoTGVda7slkGP0
XACsSx+amlQOAuE+kSyTcYEZp80wbNh+jQoZ0jOxaNMQ3pCwxrscJi1zPCber00ZsuodwMRhZFNu
LFmMAcrtekseNT+jAsjfsPkKVBOjAbV44PyeMAxvg6ZyfoY31ormFGoKuLPrNHO7pBzWeQ+5btdJ
OWP98Y48NvoSffHj3QdbyyOgaXMojWN2UaMwAcDynD/9fs1NzBR615FQkc/H1CDyeOR1AfPcbN41
m229PpVVihJ4fSHpfonGospPZtyX//Zeb5Izi4UbQ6Mwbv4Q5Ez7Mk5QSvGYhlywcVttt3BvQQt5
mAyQyeTSyq3UKk1js580LKzt2pQhn3gHHOQxSRK7Y8DU6eiQYl3wdySSASTfh8iakGfW7MibAMRo
c2JQLSDnJxhd7L07gRavC2gRupKP04TvKIx9/WDzijFyjWkO2j7zZXioXA8XASHfEyYS/gHqDOZV
bq7bdcXbk0rIH2wcqyJKCgEeWgnp7gBYVwFa2Tfi+XExwAqPiupXvpjVaclmKM3hbX7gdL/hRsI9
41IidlYjlQoB2FFdXovyNdWmvEe8BxLo0Bw4rHi89MY6XXkSBxtH2qwmmNhyu2tl42rdmdQXCftB
kkMT8ZiAAqDa/GlPoIj3gscmUDp13whNeb9ID/3qv//8wvmr0wawk7ur7Bu1Y+OnPffqR2YIFNzy
Z3O6NnDQBOCtrrxwQsBv/99n7st/vOtmbk9e6H0EwAp2NurG1pFb/W7bZfNpVZsoz5Ns/+zv7gwl
WGF4HuXtEwEOuSk2f66Qds1qUx4CAAPlQR5Vq6MqGMBlucqYe/Kva0ZjIY83V1Cog2dGuZ5NS5Kd
PN9lNDrnShnRJp7866o4TelcWhVOPgsv5eWuPT0M8GQKuPJdA3gvPC9ABCkWb3F+ZVIAxevw2gv3
pgT2sVhcQM6cTAoTv/6Pn7lnf96QV8ihcF4LgBXsHcOD2H6+78q7qJB2o6RuXKf3DGXxRMydlBGx
IyTsWJJkCDGLHFQ8YaPkNZk7Z6J6ABWAxcZjAxLiCayY8xix+7kugBJgDqBVjqquQc9g2vJ76UpD
eSyBVTSotn7cFKGUjbz0cEYeykXBI05iv4h6bDYa1dbV0JFSNJ2J0BNA4Xe1k7r+BqAdJHBChMUg
04q57mLRYOG8q1dbAij6KQF7QulCKaMcGl4o14z3eV4aTACsYO8YmlhsWDalmNqphOu6mKqBfvOx
KPk9bPGVrxe0MIeAqP2GaYz8tCW8RUuI3j9FFaqA5GXYgORp2GCAFZ+d/1R0gfJw0uwlvLsiDdMv
2BKIbzzZVcLeU13YuFwk8ll4QlNLRVck13XBEC2RjLvFhzNu/fvtiFZj6Qq84DgFhIiGAeDiEUPj
GHQBirwdzd98Xl4Hj7LVakcFqURPwFAzBapNAT8FDzxVrm8ArGB9GYuL5CkLfWq+6AqTOWNyQwdI
xJV4xsOQYkGH0nXZNjOVrjMiFosY8qAqZtF0ntOyzVdmfibjWwYAiW8mciN9kxGgkOxuW+lelcNm
R54FP59WL6Bp6AMMhDz763UXS1jfHaam6aIpv+Jp7K+XBSqemnDutx83CZvtF/uuxizJhI13SxUy
KgbZ9bQcFl+D7MAAgCChMsDEgxCvx3tqNTqqDnqwUsVV3Laua7W6BlzZlKrN57UAWMF65qV8kQJm
/BdJXSNRdpWPISH9WsEgJi+DL6pCeCtn8RQsRGm4tR+2jNMVcwprWPxnme94VUYhAaBRa046qXmS
VIXV7BuPGpmjKdkw2Lk+foPi6fD7+XszLpkyz4JrxufD+8rOEsqlVVkkWc/mZuDtRSwWi7nF+zN6
LjotAMpm1AoEiPi2IZ9H+5To4FkN0J27MyVeIoUokWeZKI5Hmo10w1rmcXEdqyd1HQRUmfk5oSuH
4blft+93HmxkjIoO4APPhkVIYlUM7WxSPCOAhQ3nWeAsRoU+T/esVH8WwGp11DxNSw8b22RaLISA
zHlTjKpe5bDqqkc1Vfl4zwzh6EImVXsOrTdJhVqQZgEzTBO1ydm0OpJTJrz2/DS8IIDQj08DpPHG
oIf0Y6VItwv2+f6rIwEESflmPSsglBdWbbqX326p/Ug8ukF4swwqaXR0sPF0HqwwPhP3lrCvvHei
dQWQklujKCGP8gJvIQBWsJ4R2sH+ZiMR+uUjDwi9KBQMFNpIkZRwyIiQnNjzd6bOzMMiz4EX9+DX
t1wqk1JoiWdwuH3s5u5O9lpcrtvwmsyLiimfhzeg9143GRrCKzxFNTJHFUVAvMXfkPubzKoNBoCC
8U1LF9cMT4TreP8XS0o6S25l+TVV5qKWzqbc/Mq0qA0AA2GiEvyVhqqfvE/AkfdBs3K/FAv6LwEl
QmLY9FJnjTwrXpMCDZ/fwuCs5KUn57Nu7vakvfYF8TIAVrCe4QmwsFnUSjyXa9aoyiDWVDxKwmeN
PCnwotKWc1PLpTOz3DmRASe8AsKCXjLaMZWmIk7PTZBZ8ROu413n8hOZHtCqsyFqycLj8o3MXjuL
t57MJvVzAGn7+YG8H7TddY3wRGot9dUdH1TlAeHB9msx5H0QCkxYszaeDNcXsujWsz0dDlPzEwJf
wjJADHqK+HQXfD3eN17y7uqhtRktTsj7LniwFlfPPFE+J206f/v/nulxhJMXaZQPgBWsZ5x8nNCc
lCRt2ZgACxuSZDOnKlDCyQqAcXJKD+mtXroPGfkgpIFZuFACPEmIhYunRkMsfKYbgFcKmzRwggk5
keqB1BeUdLccDk3Oqo6q86Hb6z/k+vAzPifUCTYrIZroEFTT2uR2EupH5bPjhQ3SYnFY/Cm9x+Qp
isbxQU3JftjmKKUy2Qdgu0j/K4cKz337izmBL+sF2R5rIjcOGBdDnzUZF1+Lz87nhTJDGOkT9eex
AFjBesaG8huInBUgooVPor3d6fXdEcZoU+RT56puERIBWjyn9dRZMpjFTWL6aP9YTbQXVaMcpJFE
B4hhkK99vy0g4rrgUfC5vaJDMk3llEZmI2sCCIAb1wXvBUY3ntib5FpTKaAC6Tf+ZVgiGbcDJZeS
N0cIj668NU6b5AwAjEzMRUxVyoUJeXGaBKRJ45bwB5DxSO2BtragPwBgq99tag1dhL8XACvYOwaY
vNN2FE+ovz+Vscbh85pvEeH/LHKAj8obWWy0OE1+mFHwSNUkFGpep64Y3hR5O0CLEApukzYZSfdW
W2EXeSryXPpsLRteoUpdwpqB7/xsXsn793UCSOP9ivov07mUm8mmRJ/gHjz5/VpPIfaUUOqFDBAE
eLhOrBuuB4devQKt4nXfo2gxybjItVRZL9odEQAr2JWY9d/VVHkj7FTJvWv68GxeVQureYULsOgf
/PKWWjeu09EicUxTNIn0ZDKuUAcyKGqhmnZDpTQinDJUAmCgmIAnduOUK2LmzaYyMVU5OQwUyl/w
bXLv8JhfPdntVfzwngArlFvj0evhfXIt+KJSSF4LEFdHwAVAKwBWsCsxFrMPEcjdsOCpWhF6ee9r
4f6Mwq2nf3xlShCR4ud1GpuKnA9GOHj/l8uaK7j1dE/FiS/+8a578ZdNN7NcVIPvTeKSfejzrHyz
JIoFXiw5uIsY92brxb68Kg3gLWUl4gdYSXMsEiskLDaicE1UmZ/+sO6WHs2JanERC4AV7EpMp3s2
6VKUvtFzqtCmkdRpT7KWcGv9dztSTLj9s3lt/hvnpUSfA8+LPBzcrB//ZdWmyDTy+hzDYMXpnCp5
vkhwEeOA2WZ4xuKECjOE9OTu4hHtpc4AWalcNK0K3HXu6Z9eKR3A61/0IAqAFexKzMICG5dV3j5W
Mlg0gYSJ3JELQc1ycXJa+TPK8DdVBYLPQkjLhsdzoC+QMj5A5nWibpJVoKdIPDCugwC+WD9HATwr
OF6QiGm45nr0wDrmFNKThKcIQShNpZWkP4RRKA14YhctqgTACnYlBviQ34C2QGKaaqEfo4W3RS7r
zpcLkaKAu/HGhiMPBDtfYWNUVbwJ1mGs1j7DIpryZskdUe3kPWsYxExOIdxFyaOMSOMeztyZVAXZ
K7Ny8Oh1qy0BOvfV5KUtFYD8TL8h8824wsHGwqi6QRjkdCaH4qINxMImxCLxPgxg5Q2gAmAJYf2k
nOu2TtvEBSGLekY5Ho6V7Exn3cs1UxwwGsv5PR4ePzGV16HjvWRADDlo8laSm05a8zigRhg4iPxe
AKxgV2bGZUq5W5/PaaHzBXCxeWyyzMc3jR9Y6zWrbordpElJzVpL/YQAB+RcrhX9z6lUQtcMUKG/
EYVQck3zK1Nq1YElf1Yj/0R+CrrH3O2S68a6CvPxmufvmr4Y5nsqjZc1mHxkAKxg12K+1E0YdZap
MTZavqbNyGahteRTSXlpV5kyjtBymLy3i1oNbfVXZXf/F8s9XlQmoh3Qzzd9q+iS2wn19O1vHkfh
eMelz8F2x1OCBHqwuSUwgjiKLj6MfjS+3r7Hg7QAWMFuvJGcJ7GNlAkMcUia/Iy2ko+FRmxcKAfw
fpY+m1NT9yhbWyRW6+WDXwUQ4dFqeEY05ae8XYkEBy15TuIcxdDz5t/U5Fxtuhd/25RnjLoqUs2X
fSgEwAp2Yw1QIllMcy25rttfLvT0t6h8vS2xC81g6/meO9w6MSG7TFKz8AhHECUkd6YZgSgKd4wH
Ru4FPtLyo9kbz6H6lFGpJNQDiNxzCgEJKTfQigPAMA8RVwvirp/aIyG91PlggDB+69m+a1Zb4qgt
PJi2KdrnfJ6LWACsYDfSU0DRoXZkY9QIO5jhB7CgggDIAFTvCzfIo7BxG/WmK04X3NKjHw2nKwAA
BWlJREFUGeW+2MR4XWxY/u91q9BwojlYVcov5m3izJDGjqlsSjwnmrIZSJHO5lXIwOPCJDDonPJY
fN8bR3ZOTpRY7pGyKvLYGjGWvxqwD4AV7MYYAMJGwyPgFAdEAJbirZI2BOVyvCiqTsy1e7vXkLYP
2nm8kil/TxIaEPJ5MgAKciMgCN+L12LYBol/NKRIVN+khP55LF/KKNwjzEtlj/RvFDUESJG8M+E0
lUI1aKeTEl6UvPU5jPARztmzP71SLusq6RwBsIJduxGu4DUd7VcV/vnOfk5/63+zYaZUsjjZc5mE
JIbf7vRn46CtTp8fv6NyxfBOwkKIqnqutEmu8How7yFR4nXQ20b4ufhw9oJD3K/fYhr8wFdaIe47
v0/GXJrBFfc/nPs7i3EgQACFFiEqxxU6pAGwgl27EfbtrB261W+3FF7g5UBfYCP4ycuAC0x5+Frk
sPbWjzQq67QR5qD2sP+qLJBiwvDaDztu9YdtgR/ExamFonJfeBaiU0gSpSuP7t4vlz9KUfDKBkMa
MQ7OIuHG/+Z/+VVfE6wvYgGwgl27HW4ey7O69fmsm787E+k2JXtSxYSFqVRSWlN4DjQd8z1z9yyR
bEaoQzKehPveq0MJy8EVuvXZnJ6PgQ/wgpY/n3PP//TKHWyfqHImkiMKop+Y20duSN4YnKYb2Od4
laYxXyTZrxi8A2AFu3azEe9ZTS8GrKjk4fVoBBha6Ym4AIo8lqp964dKusOijidtCaPu6SWM8cKK
MwXLg9VbCi+hNPAYFE+f/G5VyXlCI0iU2y8PtAFpZCachPhIuON7GSWD02i5x//yUq/B70pzef39
sOa7BmLX4GkGwAp27UaoR7PsyUFNfB6BVRfvydjvng1PNQ+DTU3l67SXw2PQq1JPn0bKN8XDAnxI
ENMWpPmH2aRCTPJkhDUHmwnJoKjVZDqvKclQA6RkgIom8inxmJp3M7m0S+e6GkTBYA6KALlxBqxr
sABYwa7dPMgQ0pV3LMxgSg2ERkrweFLkp9L5tMAHyWGS5Kd790jGK0xJJ1UJBHTwtKga2kh4ex3N
VYwkMPkZlTQ/ExDviuckx7W7Vo4GfppeF9/jUSWTpm8vQLsBvYPjZgGwgl27QTtA0A0tLK/kQNmd
8EvqAtM5eUj0vH1IQx7o4Hd4XXhbDIN99D980Rsj/8ZjT+Wp1D6CflOlqfl5TJqxIRFxl3ZJycVo
zl8Eep4+Qb5r2Immw2gBsIJdu/nw7F4xKwnl7/7zc7e3fijPhwQ5QPUpg7kOuOENAULI2PixWh8z
87ickv5WiYy7LVEh8mr9ASjpHtZ4+huqzzVOFgAr2I0xqAyoUpJch5Kg5l3oDWcw5hmSmNco+EJe
kip4Uvz3McNLYjgDYeDe2qEGyS49nJXQnbwz3KoAVDfGAmAFu7D5gaoamPkJw/M52D6WFnosInBC
1NTgzSkURpPucPNIuai7Xy+KugC5k9DrLEa+iufgOQkpC9NZJe0/5WHBnKfHEMoCnhzARQh6EY2o
YJdvAbCCXciowjH4dOfloStMZtwC4dMpKsDbRvsLfYCEWIAXLTG04RCCAV5gA2x0PKWj/YoeA5t6
cqEgL4uEPB4PHCsbCfZWXioigCrxHgHX1vN9yfImU3G9Fv2J8K38GDES+PC26DOkBw+y6bM/r5sG
OW2H4021upEWACvYuY2kNmV+ROIABxLWdO/TslFEfnc69wagACRQFhhMMLVUEr2ABmVyVAAQQEQ/
m/4uHhPNoJEweV3+lpySBh4seN2smGYaAjgAjzckUzSxJRVX7yDvD+VNPC34WCTxqS7iFR5sHCtc
hAohSsOMqWeibuDn6AVzN87+C+LOIVys/Qy0AAAAAElFTkSuQmCC</Data>
</Thumbnail>
</Binary>
</metadata>
