<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20240821</CreaDate>
        <CreaTime>22432600</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">Cervinia_property_values_ExportFeatures</itemName>
                <imsContentType Sync="TRUE">002</imsContentType>
            </itemProps>
            <coordRef>
                <type Sync="TRUE">Geographic</type>
                <geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
                <csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
                <peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.3.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;999999999.99999988&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;8.983152841195215e-09&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;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20240821</SyncDate>
        <SyncTime>23200200</SyncTime>
        <ModDate>20240821</ModDate>
        <ModTime>23200200</ModTime>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="FALSE">Esri ArcGIS 13.3.0.52636</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="TRUE">Cervinia_property_values_ExportFeatures</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <idAbs>&lt;div style='font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;&lt;b&gt;Note&lt;/b&gt;: the data stored on this Feature Layer are for illustrative purposes only and &lt;b&gt;&lt;u&gt;do not&lt;/u&gt;&lt;/b&gt; represent actual information on real buildings/houses&lt;/div&gt;</idAbs>
        <searchKeys>
            <keyword>sample</keyword>
            <keyword>icon</keyword>
            <keyword>rotation</keyword>
            <keyword>zrh-mr</keyword>
        </searchKeys>
        <idPurp/>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
        </distFormat>
    </distInfo>
    <mdHrLv>
        <ScopeCd Sync="TRUE" value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="4326"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="Cervinia_property_values_ExportFeatures">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="004"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE">0</geoObjCnt>
            </geometObjs>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="Cervinia_property_values_ExportFeatures">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="1"/>
                <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="Cervinia_property_values_ExportFeatures">
            <enttyp>
                <enttypl Sync="TRUE">Cervinia_property_values_ExportFeatures</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">Property_Value_2019</attrlabl>
                <attalias Sync="TRUE">Property_Value_2019</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">Property_Value_2023</attrlabl>
                <attalias Sync="TRUE">Property_Value_2023</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">Property_Value_Diff_Percent</attrlabl>
                <attalias Sync="TRUE">Property_Value_Diff_Percent</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20240821</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztvQdzJFmSHuihU0EVSracmeVydsm9nSPNzu7n3184O/L2yB3y
bqdnerq7uhQKSBXy7Pv8ecSLQCaQCVGFmiq3RheQIsSL5/pz9/iP/+2/NHILqhuRVdVIEIgkQSBR
IFJKI00jErm/LxHedBTgsxLwNXy0wYHaNzd9+QvdGdlz+Njr3DQf/xp61Oh/TSPxbQ5TNY0sSpE0
DCSNsNmVYm57kaLRz+D9HnmLoWyhrzXDBWuMgR7AQ/xUCWtpjBCG/fceypoGH+s6dF0aSHmpKa6D
AGuEvwNe140ZBIdYViJxKJJF/fcCd8+piKxqkbweMIkvMepaH1xd9zRIUBQiUaR/P5QH+cCocT+D
bd+ub1DXD2L9GlgHD+Ia8K8yQtNUYAe+HoaxNOI2cWAMI1KVy5szSFnrcxjH228cFzSKAlmWjZRN
I5OgkaBp+g/N/g3DToPghpLkppf22RAFCrQ0lg9L2r6hvzWmMXwt8oE3al3XUlWVJB/4eTZ1JXVd
tr+DCSSKpYEgDiMJQ70etVvAKh0FXLdA4nRyMwbBIeF3jDc6GH3CJ8BECzBJGFLjUFtUlT7AL9rh
VgTGgBlb1IEkWM6ND8ETSMYsQ3PrDqhyzBCGoYRBIGVZynqdy3Q6kQ9NYIIojC6/Hg3v2wkTWDLQ
unxJfWLs0xsxSFE3UkMpDX2Lq5gkcn4JvtsEkuG7YBT4HvfwsD4nQjAEa5xXDZkEm3Mb0dquazUo
tphfMDtovtV1ax5h019lJuFzi8VSInuWCNCEgcxm049uXvkEE6uhZgnIRNAu6nfA/3CMAcLvUXQz
BinpPPfV0nUEfsCpq1pkTd8lkAg+hl51d1Ff6EaE9QVz5DWCJvr3JuJmjyIpq1qiOLz0DLHR8zyX
soLhJpImiRRl2f6OZ2afs+OB6rohY47HowfFED7ZNeu/jTQl/BBQLUGUQCJo9ApM47TPraJYuxJ8
HjUD9MHNkqD/AP0F/cIsNyZsUDAJtHR2hfmLDVw3tQRl0254vu78wzhJJE3TdqOb/wBGKdZrbqLl
aiVZmrYMEYaBJOnD9hv1fiCYUxcbVSFfNxAGjdRlTq1ZV7nE6ZSf2ItBzESCQppe4Zz7n4fGAHOI
80Wu/ZZvK296/QtdSeALWgzXUBiE9BFiFxwJvE0Ek20TJXFMH2OxWJAxwEQ9swx2/C0Ix4AfIxvM
OpiFvO67MMdpkto+q0Xg0MNnypcSpyOJ4xmdegiMeB+zihu9QVj3+o1eqe1EqQZbdO/tPXxIWDQn
4fhv+1Bd/mSbRvoM6SofpP0MVHgct/5fu7mvSdqNsoym1nCjkrE8bbQvgTHAeMx9gWmh4YJAsixT
xqxrWa/WMhplEsd3aPgEoTOvRMLsQJoQ1k3IddhLgxQul3EpCLDJCaSPstuD2pngzFv4cpuWaS/i
i09zHTHS5D9L/w9/XYMNz3CTY+82+T5MAq2wWq00lxOGksQJGcDey4uCTNGktZp5WSrvz8/l4OCA
TNM7f9PwO9cFEzYRnHS1vgKmL+Afm8DdyCCVS5RYlAobMnFOtr8gQT8iz9+QFIyhHj+AEO/BUq78
4BeGoVsKKbnLkm1a16bTLNjU41HfGYcwpFbag84vLrh3skz9ndhjLmx0aKvGmXF4H0wynUxktVxJ
lSZ8HwRTcbFc8hLjKGQQAtG0oigljJTx4jjqByKKgppweA9QANClJi4uMUhZN/Kvv8zl57OVHI0T
OZok8pc3SzkYJ7TTgLdiBICL3chslMq7+Zo8gs9/czIW5GQeFPUeuLH552WG2d1S9gUbsu/XHiDo
xCLzHaXEcd8p30dyF0VByT2bTq70K4bHhMmF817M58xz4O3zi7lEUSiT8UhCRp/UPMrCUKqqlvl8
QSbEZ8A0q/WaZhoYZEjgcYTLLchxaSs7nSGTJJQkwoI2cjCO5eX7FbmQUag0lKNJJuu8oq0IN+98
XcmLw0xGOzjvH5c88+wz81WY9vDM4P21fMD/j8fj1mn2pXJZlBKk4VYn3ydIcETBbuJ0Y6MfzKZS
lhU3PLRKksQbGRSWWJomarLlBZkDmmdbOFpdA/jcagldYhCYVf/wbKayosMukFHgeIO7JohGuZwK
/s3rMd8fXeegPCSyG7inrPJDJsPK3fj7YdglBGGSVxU3PKR1F9faTDCHljCR6opm2k0JjJWm4VbG
2BRAGI3wk/He6xrCPZCmKhwWC1G4kq8XdSRNlEiUhJt9kE22JE6yKGo5SL3kkvNLEEcCc3wIv+PO
CFExACK/ZPJvTSE2KyJb2WYHGUyxWufcV+v1WiaTySX7f7dHxizegLsVcKjSWv/ujttIsbogMDEZ
HdKkQ7SuKnMJAlhDkTQI59KxD0XAFM6sWlW6t3cP89YAHm7KvDqb9qEzxwCwRywY9O9npj2uojZ4
5QMfd6DrQryw96dRRE0D84bRzWEUnxK9kjCIpSGitnQh34igQ5wDm7ou1xIAdNgihJ1TwLCwPktm
wR18JBkd9K+VicJMTU0wxqb7MQNjHwYByBCAQzjpD9Z0H0arLHdi73sI4gYP9MHeyMe1OmFG43lH
N1kfg3EQaq8hVCtpQJQKTFAWkODAQsE8UsbCcwoQOuB3IHHjbkPHGq0CRekewMe2rmgQtvZrj7Z/
WRG9u54LS4W6j6XzQfzDuKjw/VGrQgFdVaAZvS//dWOGVpW5hdj2kL8wx9ZlAVwFieHwJstkuSqA
Ap3ZE0a6zVTqR4SR+8+VTIRn58NebvN8DCcGJo2iyyUWO1CKnAjCxvuclxIl6HMDo2FN5/Xfmuzm
uNmdyjQQGf52i61v9OtK9IEMCrG+0N4EE4gysLnp4gUSxgN33ZVUt7/bprU6oFtk4Yfn6VkJfl3M
njQv94C7t5piw6IhHAwfBUGsG/OIaQMWtDjGsLd8XP9VJ/DfGxYLDQu0vtCVxNUL3BLa8t5mzajl
a812U7Jr5MhwV97THiCFu9d3ugo/OnnLZ42o7U4Mwqo1d8JNFYTQHLA3c9SfW9HJvmTa4Cqz6DbH
BTlNtPEzX2j7EoouG0yO6DbLFQDe4tCUjmHYssP5IR3oEQ57Q9OMVnVVUDrzUQI3hc/hNRwvSi5B
7zsmuTlX42uj6BoGMa3Bi70GPgKnDoVQVn9+4y13j5s1r0TOV6VMskhWOQplREYJgHEieVm5RKhe
O6SHLbxCbhp+93iSSlHWMk61au5zocBplXWtRVk3cuDtWOYbIBM+fI/gwb5JxHLZoAvj8v98zX2A
debQPCxX5TEA5w9xxRTs+5s2+Pg02pIHAaF2g0VVvJjrDx44fwSW5rKsZcLa2odFKI/5dV7Kq1/m
MkpieX4ylT+9WcgPry9klecyyRL5u+fHslgXhM9kSSJ5VUoaRXJ6kMmvZ0vJ67k8nqXyTy+mnxta
RbANIPwWEBDxLZjkBmDCy5zkOfS90trOtG7AVJRxtTQVKgkrhoj5KX7nugTjFRoE6F00XNgZD+i0
DbBcyQN1jsHALw4TmaUAxoXyaBrKyWgqkxR+lN7obBRLPoplmkVyPEY1XSVJpJnj70/GcrYq5HAU
71xu/LdGYSAUfohmjqOb5b8UOOn7Cc5E4h6yqBZbUbT+qH2THUdaS0ph8W3ZbNuyx5mFNMssm+2i
axWqBXffnxsZBA0ZcOO73DyUG2tcUKMeBJQwD3XvpFEg6TiWQ4g/hwBAeeq/ezptP8OFbUReHKj9
K9IHtI0BcNsGs/+smCTY/4t+TQ83qcNh4DUm+tTEVWcDz2i4zvjedSaZcc+gRIgXvj+K9tI3LFB1
VcjW1UJ1n/VDHp8ABdf9fd2tfEa+R5+8MrU2nIqCPM16Y3M3zt5XPxmSU3tQ6Uc1mMMiJS+Pp5rA
FcG5cH0bwUJUEz4LGMq14/mQdIlBqMFcsmibb4LYAzWFPGzSIh5XvokXDGDp9vi6rCUFdztmh3rH
L9GgnhvH8O3tK/nDz95+FEa6SejGb2bgbP7hJ+pKqtWFRNlMgkjhH3COwzhrfYDANo+7b6w6GGK5
yon4DuNYHWcBHqqU9xcXMptOWeeBQqjpZMxjvX13JsdHR6zxyNKE5i3OiTqQw8ODD9oUIu5tJqQh
mkZb8mz7ArKsrDN39c/ycKmsGvnvLxeuSkzoO5wtS/oP3xyP5F9+OufrqHUBvP+HN0spqkaeHY7U
TAwCyctapuNULhZrfu+3j0aMgm2lG+ZbbHO6L+/u+zEsWjDcCarZl2objGaQS3DSoj13K8Uvfy8I
I4nHh+2bdj4ezVVjXcpWO0FxcbFkTcbF/ILXBrj6crmUw4MD+ctff6aPt1itCXp8fHoqFxdzQtPf
vn1LOPvBwYx4LjDIP/7+35FZPhQKO7bGCtAKKDW8LhuOd5NQSxPza7pnfGzCJj/IIm76FNnMRuh/
TNJY4iiQ3zyZyfkil8kolqNRrNrRta+5WBeSJZE8mmr9dTxNyHC3eSZaFlrRecSGWK+WkqQjmV8A
cdqwzkLb7qzl6Ohox4ZrllhzSALxHF/+5xCwbaWPNT7wJH3L1O5TMHGsbWnomTVb9oYB/za9j2M/
OjmW46ND1m8AzcsKQqxpHLPFEMLrgMrj+i8uLuTRoxNC4Z8/eyqvXr+Wg9kBv8Mko19q+wEqRWNo
giDQBN8+BL8IrZOwqbaZYx+bIPG/f7S95mCSRPJ8Nm7/np36nx1+726gECwPnS/l5atXslos5enT
J/LXv/7IstDxeELmgGlBQRSHEkWxRFc0KYA5ZGA+AgAtkWbWTmsI+5lq21PKXK1J5cM0sOGbHVqW
7lBTg5oNECpkp9NuvUGpe88IFYY+ffXi+bYb75//npgk1mDE/gc3TYKIF+zzhxq5ekjELh1pJkmS
ysGhwrAhzU8fn6qJUtdkIEhKfBYMhF5To2j/7oS9z/s+hUuAmlnVVfSh4yWKIDxTr9Ekm/pv5iR3
0Sj77H12xkTaAEJ8XZTU/BQC5i+qN6lNCetGLYUoYGSV5v8dME18m07cuDCYWLaktvDWQgbF8w+1
y95HIwoT7flk5PeX6oDdXS+ou1xD9p5CLUxVaReSOKaTrPUWcKXdOa3Ip7FWS55actfV+hz3+Izh
F75bljIdpTJfruRoksovZwuZjBKZZoms8pKJXZSAv1/m/Be5q3//dCxpfMcM0ncUdyPfBdFF1vLc
zztTcDd0J03SNhyTx0VPLPeaMaC2v9H8hLoztfYcQKEStAtsasBDEARoi9rvjzlwXaezTKZZzIKs
SSz8PQ7HDLYcjyNpRqGs8oj+4pODhBonixI6/ncR9esxyF1JKmiOL/TA6UpQqYuiBQhsaLaar7aR
slICjBQIUjLMfREE9tEo4g9pov+eTCKG3qkgeKG3aXnqrYLTkH514kNr0POFHhgFtAjwm9s8nLUB
jAmAhoTa9gqdPsg1Md0w2Nh6sTfSEnQLKpTyptqU3fPZvjDIF7p+QwahVKLIW3WBAynq2s0jud8o
0k5k2fdNjMJ+v9q5ZFMC1BcCbDlqfrg7zlYGQcz6zZs3bfoffYjMkUOfoS/O98chQwZopsOAeZrA
YMMPtwfggOOB9/BIN9zDr+cFUdCIEiGrjcTqz++WMssi+Q0Sp4wId2bJNrLxZ3rNd5u/8H1f84zs
6BHa+hCuomfetHejZNQGRmBCQkvCVbjkpOMDF/MF/55Op2QGQ18iBFnkaylKbdto0Y8v9GEIAvL/
+WXBhOUsi6WsStbgoMMlUAJ/er2U58cj1qz8v6/mBGLifTi2y7wkKHN8g6TVNIvl7bJqa9RhZh2N
IzmdjSSDI+AaiqNfAKo/0ZEE+yWCz2LpihqN5QrJ1ytZYH8FgRwdH3HUAutC7mAf+fU5bWTV0LwE
Kl4fodUgRroBaoIJQculrFZragsmqAaRAHTCk4kw+wkoAGAA6FB3H9GWL7SZ8gLOcSDvlopvgkQH
9AUdQ0ZpJH95PWcuoCprScZoGzuX4HAsZ4u11DWSdPs/qxCbeZywayabQwOT58LEry5KQnPaLvus
CELCEh1MNAoGiQwpnmQZw8rZaMQ9VGAfrdYSp4lk48mdCls7Ul9T7X/82PqkQmsg44lMph+X30R4
H2E3dMgDxgbnRbdtQAeglj6nSrsPSVjW//zdYfs3TIo384J4MWDKvjnOJDiBwArkd4/HDJH+w3OD
8vf7Q11FOmFJEbZQW6ikfHVecn+8PFsSzInw/sEokdOxOu40n6yfgIOnAFazKmvJ4lhqNGmrXE/n
KJFshP5X2mxwkRcSoCsjQJBuGq0lAD82xfPFQuqqJu4Hm3xXLgaD4DtYxHVeSF7kHNgIE22E4Sre
uK4vdD8En+Dl+7WcrUq5WJVMkI0gjdNYIqnl0UyjMvuR1magAq+GqVRXMpKKIM04TuXrQ82fZDHG
uJWSBDrwhg7uoBn0q0Ulv16U8uhgLPPFUoe/rksWo6UpzL5anh+N5P/4v1/Kd08P5WQKvFXD4jVo
p6+Px20h2+5Xf7eZmRh+xXg03tjp+jqyxOB4lMkoS9vW+OsV1KeaYIBKYJFTdOWOkLV9+IGzpnXW
nBtM50+r2RTiIL3HAIlqk101sawu4n0r0jQK5euTkTyjZNafKNZo0zi9qSbHDEN9ZmGUMPQZJ4hS
qW/BfnuMCAHcao06RTtVDo60BlCvaeTl2wtZ5JWcTjMWN2EP4LMAu4K5v318QM3yflmyBAHGGlyl
r47UdNvv6u+WYkCO78L2s2MAkZpl6Jwt1ChYDDCKYvtTIjcfqmOvMIxaZ/GVkKA7flFb/DpwoJuT
4SZr4ee+hALOB9/gXo5tDRUa1SiKFXOFT3DE23opRSiHlCqK/jWc1rcnI0JaFKtlAgNVgeo4W8zp
66PUQZz6KY2HYKrH97FZrfm1TQuCqWWh4YfEHCZ1oc7LsubkV6j4m1TUdtg9HE8PUNi8iUI7psRA
537kgIY6zp32v5YC7YkLikINhSrDYK2QNESfXIwWWEiawc/RVqPse9uW1m46rgtPe+ex1x8SfTB7
52NHukw7IL8DsB4eiNXS+6juuybwSg3mg+mAehtOPAKz6PCX+yb6iKslQ6xEC+e5VA1GmqUyOzre
y09smkqqYiUNhuegstCV18IUC1lM5ToZfnTfM6Dp9m6eyzePFF5fNToBGARzL3Itn66jh+8QDKiD
amuqjMkhSv2uUAhaAD8gaIW2fr79Ho/0Ya/b5QJyzJ8oKzW/osjVfOw/V29X4mizOJHVfMEc1tmr
1zKaTaUZ1TIPzsgkvvBSM0q1S1VichiiVKVrLA3zMZYg0ZBs4Gpk5nnNorssVjMJAQPcL3I1b+e5
ZEko4wRj0VCIVsrI/Q64yH1Eqn49X8nrRSU/vl3Kv71dy9NZKq/nOZ8//Jpf3q+57n/4ZkY/7pNk
EEtaYqNjqD0kv0l9aAIzEVzt3I70MPQ3+BTJPkSB1rnrKcbWQoGkcK6vGETJdXGN/LZ9BjMxlhe/
sJAKjaKx0ZGvOjh6IocnBw6JqyZOXS4JHskXZ5JNH2mteRBKnGCUno4JkCjVEC78iaSfAsChLtaV
/PVsLbPxSP7bX14Rgo5rRCfGvGzkYBTL6cEITXzk0eFY/q8/vZS/e3Ygf/h6dqPE5XV0OkvlcCzy
u8cTKaqakbDvT7WMGkz51XGmvuEOEbJ7Z5C2RsQV6mhjhA4kYRB71QRqH7P8kl+2lkZ9WHVP4smn
T2zrCfOvQuQHPZ4gqe2+TRt294+/LVrG2RxuYi3WhSO341SyyakkMIPczD5d60rCGkBDfyxAIHE6
ljjVfEm0SVs3jfbT3RDphL91sSpklohM41L+8cVMEjRYKCqZ55V8+2jSMvQiL9l37MU/PeV3s3tq
LsiS6VUubxalvF8WcjLLqClwK1P0PSsqeTSNdxKX98IgJvURvcKDNwbZhoO5TIMa6c+M1F/ib/6r
g8+Yyai+lZFp1EBSWeZzCQP4HRcSRplE6YxwEEx+jVOMItNmDPDJiPFy2fCi0GiV4DXAWdgmNBQp
ch45STSkzeOEgfzdk8u18x4A2KP7ibhtIvh45+tclkUtF6/n1FQH45Gsqlp+fD2X//jVTJ4cZNcf
57YXYpEbMIVGgyoyRYU6SU/6P6Dg1d80tRgkVgSmOtI40+gT3TGEYmn6rLQYCl3Wq8JFpBJilnRu
Hwyi0EHa1dzlcetK1kuYuwD4JYS4IGpp2sv8qU2V3NZH7X7LrJSOxrH85++QX7H2o3pSCIJns1im
6W6BhPh2PgI0BfIG6iNY+JDXckccYY3EvhBabCrYrqq6CU0959olNLm5Q9f13BU7qZAK26bP6oxr
boM18K5SsCqXejy4IvFIy20dvoodcIpc6jKn4758X0kYJzKaztxxVbsgmz/E8YFQ7Yfsf4Ik4z0G
JvQGuhakPjdC4wHYuStd+0kwARjANqkyZEN4CkOY7Xipu9cSOPKiaGjPQjudjBN5NS9kXVYyTbV/
Lkov8eigsNCQep2XkiahLPOKTeEeTVOJB0N/Hiy1U5nMP7BRANp7FhI/ikc+YLz/L+cb4QFBqOic
vxpjAsg08D0Sd2y/04mZva4BAoqGXJ/bxi7L640SZ2M66gAgNrJkyLcqC06ERb6kKIBAQII4YscS
y4nh+QFAieMgeveQ8mE3ZhCoo+Uy11DpRyCc/+f3OZkEPg26r79dVQTMPZpm8mSWMHqCtZ6NU3mz
yuX9fCXfnB7I//x1Tjj2bJRwWtuDo0aFDs0bmDSYyATfo1xp9Mi6l3NA5qjXmSSML7cyGo4M0NdS
bviNhN63MJvgS3gLFLAn7obLFTWOyIBo/oafJNvY8APPrVorGoEmV4iQccX8D5jmE+ENUuz7EZ3j
pxy/zpFUux/m8AfZDwvSTCnBpoW9GDPsqd0Rf3eSyW+PMYBe7VzUK/tjq5tHqaRxJM8mJ+13HgpR
moMxYN7YEEsk2VgPod0QY9ZQdNnr/c+BGY5aEafPU2EivUbRbBvqus/wOrQ4iMuO79MUc80ZLOTM
hg4wobR5d17iPB0x+eq0Q9vpHxqjqpmUU+b4MMnRu6R4uVrToXZL6g1huhnkYlf6Hy8vKE2QzYSU
f3WxllmWynxdyJp+DRytSL456ktAFuh4RuXlWLbeh37uYVBdrKSuVvQLINUj5BI8jdC70muq8raR
hshrqfKVjkpuI0nXP0RqMVhiQwohfGKJ0kyy8VQmsxlbm6JtaO/+YD5VgNOo9lljHJ/r9o+7QcRr
lO2OFL8vgmaDMC1rhMaRcuiacEMYb2qCGK9zm86j7ec3kYHUuqbEe/RCQsIoX0pdAtGn36XEakp5
+XYh35yM5ZfFkq8tgkDWZcn6AUjaFPH64Qjfa2jdVLIWvV6OIXbXC+gdWiczJq+TJ6REFIfNqgEO
x3dhT5cs6oFzigfMIWHoV9wojgq+V4HB9FHM4226otgVBZ29eyvrxXveW5KOKaXxUPK1OtkZWg3e
kjrfsJa6WOtosh3aLq0v5hIlscQbrgF5FJh8Ie4xSWQy0RwJWqQC/T0MmoA5rJ2QRqfhhGuWHDD4
0Qi+yMdV5fN1JT+8W8ubizXzTTHmaqLMI0vk3SJn7YzRqijlP7yYsR2tMzhdjMIvavaoWM114c09
5EwGVcFROh60rDdqGO1QiaZqX1/Vjf71JJDD/ELk7ExenJ4yXi9hKUGCaymlTmpOt10vMIdOH5af
9NLDKLMZLZpS/ixzWYWOQWgL5xJnqcyaRMqLhbz+9TWZIClq+eZ3v5W//ukHefL8KSvezucX8uf/
79+4KeJxJsezQyngjKaR5O8XUiehpONM1m/PZTabycnhkfzm2VcSNcjwA7CXO2Bmyt9/+PNfKHGR
Q8AmYmNph1M6mM3k+fPnV0pVm5thap31GXwO+sxg17NaD6FW1PJgehLCthwoY5rWH5XtnkDTSDJC
V3avqyKla8Tnys0eRRxLVxQ5nz+eIYULI2RqDhLVG0SCp5u4EQYQKtYdH5pjMt4c0frQBPzZyTiS
GXohryt5db6Wr48yeXQwkpdngZxOI86HV6mqvZoHTRu2R6cBRuMgxaaWs1dvZHZ0SOmjcx60vNLN
DdAICcOICB3GEo9ml/PdTrSPZsdeHM41W4a6L/GD8CMWXMdA10UuZV7wwerDCVXSORsZGzSVUH4b
HradHdEOsEoqaWCvVZXMl7VMRgeUhOPZSI6KRqrxVMLzFTd8KpGkp0+dYxzLdDxjtSVyBNUELfrf
y4vjI5kfgGFDmTSRRIYDw0iIBDUTtawW2oz6yaNjWSyWZJjFQuv8oVmokdKU98nuk1vmXuh0JDf0
0s3q0xprjW4REo4qTvbRraXB8SC0RhOac9bjSaNjIuVqLVEKn8f5FPR9HKQda+0qQvP1mowRU/Nl
kiKPgh7A7j02kcbvTSjn86W8viglS9AkQiNiiH+hyhFh3TReyyEiiVHAeg/A8/E78hS7N3e7LTVy
mMVymME3wrqN5ffPbF+CcaZcIz9sbuS3yt5aj4VoBeLdeKDHTwFv7kZewfFEE7EAEqxRrH8Ng9ZJ
GHwHsXM7KkKCF2fnMj06UGnKC4skHk11BkWJbK0mtBoYMYlKOjzI1IUXqbFwpWTCSvK8ZDCBpcI1
ulsoEFBNwUbKOpeivJDjCdToSMrJSN78+JMEs7G8OD1xd9/IJJ7IyeFM4mzqRXY6ULZOZHVhS7bv
LKRYLx1DXm5/M0pjGSF7TYiDa3DhByPKlRQraJhIohjNC1RIoYaCeT5/JrxdjSFow5jRLk1Xu0bT
DnHLGoymaDUszCUOYh3rcMsKJnNdtCIRmwZo3y786grA4kSLp9zfOEacprxf+K7/9a9ncnowkVUt
UhYB++cCfwUzDIDB7x4fyjgQef3rgsd98WhK8ODfP5vdiDlgkehUW90zJngpULEnXciaewPr46wL
f+5J2IvSEQXnft18PfppjuPtN8zSAzuP3VQ9cWsj3RDInroIDGsMzIRi4+WuBxHUfuxNJI0akUfT
o43HGMj5AAAgAElEQVQPPkDICTcIOHWqkhIxdXhP67KQs8WZLNYLiYJIXp69lu+ffUvY9iSbSFFX
Mi8CSaNM/uuf/kXGaSbfnL5gOBJmEpgpizOZTqaShJF8e/KkRdiCKnzGNjnuxmx5Z5bQCHWJOA8k
5jqq26LrZu2bTa7rh9OUrf3u/LEoMW3XmUMQNh1oZJOjrVg1G26pdeCuwMn1/rVaDGxsgj7LnPVM
SajPzD7XRqkuJXddfsTvFILI5goZeMWC/f7ZoUxnM/m6yOX8Yi4Bu4EEsmogoad01MlsM33+40zk
6XQso6tbHmwmJqYLl5Dsd6ynv3TFV69rR3QVAVfgmEOHkuhQRH1oJZy+suADo3p3J6N5pWemXQzb
VKWPmzTkLSpe85261nH2F957n1IziiRqMlfmWkkF274O5C9vX0qeQ6W/U+c/UDPst89+Iz++/kkW
1VqeHD6Ri8W5LPOlvLp4I989/U5W+Up++OXP8off/bPM4lM9p12fCxE3FRhezRU1bRRYCZu6A0zq
tSILzNoK+CfMYGuWm7Y8fA698h4TIfKDxhjwPeCc47yQ0Drre3PuYaN/4iJDCRpnoBkCBJIDe1pt
x6bvNWkq8/fvGZ7InNO9ibahFgL8zzW6hn+FvxEpDOtCjmYTxJfp7L5dFHI8zWRRiRynsfzLX8/k
8eFYZlnIicHIZz0/yiTgjJY9sukwe5OxhqgRcuGmv/+oWIyYjv/wIb2ZJa0rKVcrOrkJmsZFALZh
Y2ivIfU7RBbnZ/LTyze0U0eunQvDfmXJvy3C8ejkRFbrFQekYLNgDMBshvFbqUwnI5e00ovyIRLY
iOilVCzX8ndPv2f5KiJd8AugZtM4oQaZjQ+4KbM4le9OXkhJPJGq4Wh8JMfxWGZBLOVqzsVe5QVL
goElOjs/ZyERrg8aZjKdcMoRtgprKVYrjWzV2tyCdfjjCV9vqxIrrbuHmXd0eKi2uPONYPP/z3/7
s/zphz/Ls6dPibzFZka0a53n8vz5V5wTgggZmA7+jx0Xa4V1tM3PbjLrtbx7/16mkwn/hkmDY+Fn
44Zzmx7Xx6lZ6/XWPr09YdZsYBYManVBCBB8NA4YSjNZMqlbS7CuiH5ABOvJ8UzOV7mcLQs5mo7k
Yr6WgzTgNXMNuA7hTsyiUBmYfOpT6QhZvtNqaHflN2Ie3O/rN++YfsCot7bktmdDE6SmaiwFJPhA
nUhNZPkX0f0JqYJjYDOohAXkQG1a/M3kkqgTB+eUG47Z1VKqopAscvUNjFTZ6F8t5QyCmjF4Sj2X
+Jpm/SoQMMIsmzCfg2jFsoATOKOTCOwNx8XVmaxWlYxGyO5GOm0V9jgqDPOVTDH1qIHPEElFzZmz
XxMiOJMs4/2gF1gZB9zUBGI0tbx/fyEpZn6kqSwXCza/IKQfa4qIELQhs8kId6by8teXZCZopsPD
Gdfm1cufGU0BTOb9+QXPBUm7Wuf8HRsbjTFwrUdHB/Lu3RmR0qy5cAm7r796IUeHMzfLQ81lCBE/
PsL1ha8z2DxqjrmRDC22r8NfqTbtsGBD7W8C5LvTiXx9nPGazleNzEaBvGF9xlTipqS1Hx/ONCSN
sD/zJ43kBYq6XKUlxrMVNQua0N9rSNCXeRWJwqkC9ueiO+O5fxRK1kZ0D1wg7uXHH39kwAZj37iX
jTFs3rT1OILdji4k2Pjni/cymWBOHNqyVNxcrCzj1KCxPH+CaFKkgxgPD7gB0eUEkkZbQtZSFlUr
NZ8/edx2QbFQIx162vgaGWN/rba+3exhY8zONsZNvDzPydg/XazkaJTI2zyUl3nApCMKdX49X8vR
5ESW61LiJpMn6MIyPZRDMkgps8MjHhruOnwWq8Ow49smYs8mhzKAlMeGOjlF5xYU4KitXyLatpzr
elKih1IEIscHM4nkGddktV7LCNoGUh+1+i5ki1udHVj/Km8TukQWtWEYUXupMIJppfgmNobARnYb
+mJ5Li/fvZTHh6d03GfjmYSoHV9ccOmWy7UyhTMICTbFMaWRKcw3Z8IFfU5q1x3mISdbWdACjBrH
7MYJxv5lfiH//YczydCBMy7k6SyWgyxkAAHCAZqAPgUjq6HkDgmOAqc/voYAjfj8xmkokzSVs2XO
Wpn/9P0Jn/dP75ZyNElksYaFEshvHs/k2QH83Y7RdSkURKu+ch9hPiR87/e///uWuViNWeVrlXK0
hxElgvoN5O35W8miUH49eyU/v/qJ6/Cbr34jf/75Bzk6OJbD7EC+On2hLfATtdffvvuLBMF7Huv1
69fy5PFpe1EIc1ItIwfy4rlMJpNWM1mTMpp31GbQaso85iS7FGO3dzz1Dw1U17k8H6F6TGR6mAhc
btQfjNOE8e9xGnOB0U+W0rBUgcAoHGZfwIcAw5jz2rKIjQLQSBr+jvBUHVwEpiI2EnvhhuhbnEmp
/Tl7Jsrp6Sln9XniqjMFXJi3gTaN7T6tgEzDAioocA1uTqKbCYg2maHLRfk0P38r//bqL3JRIzFW
yT//5n+ROErlp5ev5B2GY6LsF6HqyZjP5umTp/LHP/5Rvv3mG5lA47Ngv+7aHrWoYCVogCYuNaTs
NhSYBNoE2v7bp4kkAXp31URLHKTKishQ5Q3sAzSaA6PAerCWpmDUWhI8D2jwJpAUAiENJQ6wPxNO
NQMGb7Uu5GSasFoRBVpA6PqTiO35YbZJO9TJ9s0VMB4ILp9ihCmTDJGpsocMzeJEimIt02wi3zz5
VvIyl1EylsPpsRzPHkmCcBnUuFUI1rW8ePaUdc9oCnbE2Lc6/swgH07aqBHMLJg1drr1cqVOJ/q0
2gPAnm25YUg+gjgUluVHmG+HUKoz0byw54zrgYZl+m9ddpsPxP5PcUAHWxGwzvn2zo9+xKy+c/UP
3BBuc9PJRs4HwYw40fWEX1LkzB91x9LLQqUdpVMo8m6NkdrAK2npgPbaxfzEgEU+eVHKqzdvKVHh
v8GUQntY+FjoagkTDVrn2NWW6xCcQB4fP5X/7R/+d1mhpBaOvBNA01Em8aMT5mxoIUAzHh/TpEh+
//cymx2wgWCvMXbojkum7JKLZNiBuY92orAyICi+f3Ys65XmVKwfADvkQqs2OB60n5rXWiUJgRPL
bx9rXgJrB2GLNQ8muu5RUMsoDeUfn0/VtEIYm8aFjwTR8H6L+/AZZ3jB11CMckuGVt1xGScOAzmK
kcTr25p40CdfHVDq4vd8ftbGnkGQfplDmsJ8wCUih6LAty7qYIPlucmQJwnhZKZsT4mH+eYNtM9j
vo+OHNjM2ARYaJgiF3NUymlxzmSMHlzq9FmXc4s8dXrWu+PB2iAknaChWYB8gX6YDeKAAkAHDw6K
CeT//C//IscnJ5Qw6F2MtqvoAYZrmE0Ugl47UB8YBggD3H82nmmhDvANriXQfJXLy/O1nExiebuq
5dEkkbwA/ixn4+lfzxby1Qz6T+EuTx/BPFxJFEzIwMVyLtlkIs0Y8w41dN3a3y6DnSUZf3zCveDa
gXwerAKjlYeIRgXYmOqAtwRJ78xazREpYHEI/TFcU1WUsixQuajSG2YXBOlqqcyK64iRecdPGEge
1LJYnMvheCZnF2dS1IU8PngsaTLid4qgoCAAwgHN/Iq2fAFMVWsDCPgvLk/Vd9iHtJ/zHseu2mwX
Yk0C1wk5Z43Bt7ULJrEdaM4vdEJOocp9qdzhqubzORsYXFycy88//8LZ2XCCEW+HWYIRDDAJoGEw
GhlmGyQtzDW8h5Dp49PH8vbdW0ou+DlfP39KO9KiUBYkbxeP6QrAKly+hkKlq3WDbY58D0CF6ug2
cnL6hA70jz/9IgcHB3JyfCzvF2/pmP/hn/4jOxp2yVZsEmjIiLitKE7pozAv0TRyOhM5nsSckHSS
rSWLtN4FhgdMxJPHY0JvfJNhBkYcZdxohwczSccjOQwPNBHoipXU5NoW8weUvqAW2fQerxnrWuQ0
GzuAO0ijcRAGRf2e0B8mjxl88YTogGGsChGROMOnUZgV6Lqpyb2mbKQMK/nXv/6rrPOVDjmNU4br
ca+L1co176hbJgESAs8d+wt7hM3+UCbs6vSpaRBZc1B71unfECi5c6WEZSgvzlWt54hSIWuOLCY0
iivMp0Pk6pWpRZytzqSiSTTPNj84PG5n4T1/4nIUjuFwT5PnT+Sb5491/AKkUl3K4yONMHz19JE7
nsjJ4bhNrWl4dC3L5YIbDyYDw5t5LidHR5c7HcJ3mBy3OZHupqENdMP90z//QV/y14NO7fWzHVmJ
h83iNgyy6tgkoFE6pUnHRB40VlG3jRM2FRrQs0qRvgIuS6HpGDmAzcQf9LZl8/FuTrrmd5y5S7i6
3ZtKeELkkUeBP4CJsmVFv2TkYDHYzKBDRKPYCSVnAjeqUOeuvuSV92/HcMfB5w2oyShcmct/+t3/
quEZrCvlVCTI0M3wvMKQ3ze4/aYe0h3MzFW6Si0WzMZ+TBKYxxiprfX0u1JcroER6pzfNgPehnb7
3Gfxdjxw1jHHqaSjkSxg9hDegYoydYiw4Vq70DnGtGctyuDUtNq3nePUns3N+bbzE1kxvDffpHQb
guubjGQ0O3RJtJrO4+HJY4YSvSXlP7iHax+y29y4Z+RS1GfzzLe2vabLuDNy0vl0/C7Al+s1zSwD
NcLMSNKR1BgPMDl2jaMhdJQBunoO71p8YGib3XfVnwVGU+S8T31GKiDwLNh/2WkaVfwNB8fEWShl
vqJfCL0LARLPps6Rj8goBGWwMW+nVZgsXSuMxKY89XCRjEZq6J64OgdlAfCRqGkHjATSAhvfYPN6
L1pHUoP58ezdxAEc17SHfW6TdtD8k1oRrGZkiy/rGGOdYNRM16nDm9AEIjEg0nQy28IZYIK2j6pC
9AmkIxLg+GllXHaS9WZY60hh78G2TrM9XP0MJYOrONPeUHpTaFtKgB3UMRxkbjhn1lmSmhflsEgU
OspouJ/MT342jUxmXS8tf0Z4rxURn67DNvsJM48HgS5gDH8IwHSFZXj1/dmZlMuVnDx71i8EQ4jT
AeTQY6pcl3x4QV1q2JSh71iaWOvJaaKwpHXt/D5kAfwckJss5cymmNlml2S0qCyatLHljcvyG+TF
MXPtNAmcYU6kCvSZhjGa2g2ECdDE3i0P9aaaiepvMfzsoC7YU3UQO9CjmmvcM95Gxz6A4EXOR/0U
ZRZci+4raBa1ULgKbXKzm/lOK8agNfZDy0OTmcag/udNK+H9JFZfhuawW6c4yqYMU24CaxnsAhfa
bX69aKp2RHwIFHMbzsZAW3jS43Imx9huM9SagqqiKaAPSf0Y+CJ4YPhssbzoHO2rLBjnGPMBQxNw
wUpXEdInC1m6rdXdl8FJWnNJM+OW6Ow2nH4uBB4NCVCYkOxR6zK7rv7h8XNFirLPryVgKa09n816
0+La2YJHH77Co/RZcEOjI34Uc8MxB6VQ6b6D7DVmsFCmO0X7P12XAeydxzLGaYiOSEYahOnWvGnR
2Zu6eashoFoOJgzNON8aMJxXU0qdL7TGhCmFy2aSmlsYf+b8NSfA7DmYTwM/DutWMi+l2tANr+5t
frt901T2rO04ICvywmto4oeeWdaAnBWpzH/YxhmYUqPxmNyntQy6qYm96i2g1+DMK9k1NcwbQmQJ
+YJ0RG2Bbvq+FLeNbjIhbqX31bZ9dwFdYudKGmgFfyGNDNukC6lYL/8640QdTWxYWzvTQEb2WTzI
y3Uym66/D/VoH6ADHOIBY8v5guc+q/OQBHVXI37bnCF40agzA1svsGU+nyEtEooYfgD7aUMkDMT7
N2ZweSmgq5FTYSi+wX7UMQlth0mTQ6wQCDTJ6SBANKec9mhBnFvWr2tKojfdVtDbgvNh0NYMGGJT
m9C1AQUEg7a3V47LNdG6g26PeDF0OokJmYPhwWsCbZa8u8QbWxZzP9KHzaIgNEnYQLa57UxDa7Nd
JxeSBpm/YBvDlWu1yamrgHW2uTY5nexZhVE4VmfhHrRukm4myG0Jx3777p28e/dOHj16RM2IbH8E
cwUOeQnzB/tCTSDU51w+iEGEWsOnFXht5tqQx2B3+Bc2TsHTngbn99cBiU7U86ABNfNHScqsu9Wy
GDhU8yHtBUndy6r3fRY/q36VwInBDNXgS1B15izhAZaoeQBz2MJYSSeHNw5Dvc4BdLeHpgQomjJw
43UEHFTFwMGOdBPGgWMM6MUWJtmXNPwdsKhro39yQ6p8vxA+CgrXiDNy9S4O/gKGsfyCRqSubrTR
BkU8xMC7t2/kl59/kbO3b+XZ8+cMu68RUAD8Y72S2cFUJuOxfP3VV1Ks+jXpm6i/6fp1MD1ERO8N
xeMhcLAJ4UwEA/3emiFcM53g8NM868BYymyt8kN5dZcjaxmrDSx0Wvmyk05IQTc5ycBvbegRTcK8
2DlDqO/PySyTo6M2eqH35/OvRoeQWNqVOQwuvtMnm0bm7874+dmjk/1qnsn0C4YPN1WR7Us0g0It
KqMZyiYIaK6m2vcqWgKcuFjI4bOnG65Ts9+sVYHg4PxHraSsELp1eDD7aRrFNFHD4Lmh+9ul0ztJ
PtgIT46mcjL9VoVHgs6Dh+3GAUwfCVkWrKGgreevWjSwGZi7foDG6oRsA3YRxNZH0y9xczPpC4GQ
pF2OZ7g0+Jwn2KFZLZyP+6db4MxlYtho9Zjwdt3r20aHXZf5oQkbX1LRhEgg5GeVchsiWUfdIMlt
pJpj2gvfXkfmIO9ChJwfaLXeTRoCYOMVq4WkE4AD78aet6IvMkoyIpNYNn7bfSF8ucvZqb3LWs23
Mnd9ARSdC9CgrQEQzKgTnxwcS5mb1t98BnZyd/U/zER7gkwTn6BARpZXcciHK8nKFDZF5Psx4A1k
4WKUSSuTE6vH6KTCeHS6Vd880tPWLiKqkVAgcvE3fgw93ZqkXtBFo2PCSki6Rc5Bt+N6vSsddqgA
Y2j2+KYE5khgVu3BHCQ83B01CIjRt1sQHgDg7Ek2vQP/pk98UNlIQtSeO9NLfau+0EmylD/7XTge
tOuvxUpB7QoDzZIAZY3NHUYymh3QRLKkpoVhjRhy9ppg94/vv+YlmlogpXu/10FFUd5w3GjuIXNP
TeblKq7aV8gTLdesQxpDCCPkDJHAkSWBBLmigFkKzEhYf38p4FWbY0ALMccSIzmompa1RbniwnzG
4lqY7wlmcV1v8J+ij5jwQecK7d6tam3onaJgCmq9AxR2y+L/5uo6tm044972uN0DoJmI7/aa8F86
gFOBHmjO/CDvGrZrBXe1DOOpLb5J2t0VsQITsBWWKpdSrpZaRnxXTccGzMIgJcLC6VgqSFzn3CNv
heggO7k7J3+buUWg5WrB/lrDe6EtYiFtlzMbRoR4TsBrWAuPSCjaEbmSZuaYukbYg2iPpKOMAuPS
/jFfoUYeas3riJKJw/p54zA838Lu1a4J+Q7k8fAeGIWmnHceq2Hq8iBalURVy0gToSCWF3BRGFPR
lmBivUgXG2+jD9ZwAO8DqbtVjzqnEhV/rpWPXzPs5yI24/aHjtRwRoI+xPvQCpton5ArBAyCAyzU
KvrtkDYcuGP24FJ2tCfNu6B6F4bFJuJkKCRfEJVarVpmYQGb0yqb+lyps7++pO10Fnr391Zza0u9
xeU77SpToQ2Ugbr4l+6NrmjLRxUohk7Xkd0pnVDe9iyMKfBD1HUY8nfgw2BaYh0gRIY+eZzP322E
M2w7Ceqax1OXXLwFtbYgmyBv+YyDT7OVTWsTX0+4OQYH9riWffIKvg28dz6Cnw95fbKlb1wrBa01
6Mbcw+aoS+8zLo8w/J4FYrBRJkDa1jWhQnZPrWQP/GTkHhpvoy/ZaQpNTGo+AhEpJdsHTstcdXzX
USeZHF7pfw4tA1szu3+iQbBXsA6TiWoVaB2WdKtZGPcQtrs4xtNp2/xsx291Cd7B67tsTMxbj2Od
/70z7bnh92WOmxzbl9KbNrb/vtnDmBRrxT5EpbooliayNEoDYmTLQXTao3rFTlaExuwwe+d6Jshq
1X4GfyM5HEX4cTUhzbCBXdfYQytQXbn29SvR/lYgx4LqUvpely2E7WTRL2VgaEkUi11/Rvf3FkED
tLFpWKCFkeuxHgBMFDqFduW9abFMIKHNqBv6b1u/awNVGGhrXw5jqPF8I3zBp8lseweO7ee8P9Oq
zcb6UZHBe36o0CScnyFvX3cZdLOTjdo2PRVC7FoC3fOznHT3HWlk/BdLFCcBdxQQto46DGhg1K+j
OUYYNHJ4fKJJW/gPHvNagpjdH2GGcdZ90OZZNiUlrY8ZwJXGMLtoGtSy3HD1/bNLtV66rpv7RUq3
MQrNMNfQAmsBrFiM5mM8gWXUXe/c/nU5BOhNXNlhMsi/KDit6yUz9Ncfxzs/G0sMeJSM6CAeG5xG
ns9/eF5prSE/mXRqHVg7lSakzFb3N71/zG2LPtz8/uvtBh9uPkv6sU4cpQTu+P7eG+xDZKUv5hdy
9v6cCb3zi3P2EXj95oxltXmxYHcYFExV7Vg17aRIP8WLCBnQL/AY3u6bV+wgL2z4BwneAJuG+v5c
6nx5+X5uRVeEUNiseynBSIXoLprdDw37EJ8h4fkA8h9DTdWlYw7e8Mg5Tvfv4Gpr0ilBZxbZ6LK8
/Ku9DL4uyDFoT2CrHuSkVo4P076y9nAMtzQEXfpYMQPDXbWZbbPssun9f9tN4jm6Xc8xbwNhs3q9
yOy7ffbvPn8FJEKenJ7wR7/xRKq8kO+/Qf9f6/Bh1+hKD6TQCCqhQKitR9f5zppo/HCod35bN20D
ZesDwCi0lDHRJm1iNSr2uxdO5n9do8JdSaddjdr8yJU+2Q5+2/CzjGIxfo2EEzqQEy91P8wxvDiN
hkWSTY/4XFAZhgIlq6u2z5gJMNyY7bFcbTzHFOuXehLMULv+a76z2l7LVXRJKnYM0EX73DuuM0w/
0doVMPWQsjuuW+86Wq3Zf07mu9j9oJNif6T0Fk2Ois9VKXW41ogQ8wzW3XG4DE23nm692+7u1jx7
W8K3Py7QWwuPCS/VvmgxXft6+3k/l4Gm4NcHjXZhHktm2l5lT0hCQsaoa74+Iz3caG2q35ki/sna
PlmEhatU9y/ScP9MLOnBHKRrGF70EK5X0FWbfHeV3z1Fa4VkPZz0ulo57GkJ9/eHIDMLnNbd9swY
9982XmEDfk2TbAXAcFKXCmeJUFa7DeoxMEPtuYYePqod/OlH/fxrvITRupo6DeEzy83leU8re/cI
0xuOOgrFYrRtAVTBpLYv5W2+tdnmrZ3uNrZ91kyXoaQ26W8lm9s26dCEuQ9SSaQN3fphbTCfmgNa
KOXMsBaS0JlM90Fsnue6Mu5Fnk92nfm16btXEX0MJPeKnElHlEp35pf3ucF5KchcJttg+m1eZuDb
7XrN3ENerZG7gd4/m29RAwzmdOMYqKiE421ZduvT5p/DSntxaPQbiKcHxzwQoh2XFtFJbtvAlnnc
ton3fX34/t45Bc+mbU0aT+q7xzYwu642cXrX0sIo1Kgx6dUJ4NuboogwoUx2bwbxqN2gV+RN9iYn
HBqOiFbgKrF1flJ3Sy2HmV9GBBK6rvAmLK/aR+39WPmB+5xV/llQxRrb+QLZjw6yG6Yb18CmfjCZ
vAIpM7Mv+Y8exYA0d2tyffThPiT8tVLEbXw1yVw9CgtvXEze0wbGCIbavOWF9Qq/3IseqsWbSOtJ
0X026Gg8kgwzT+6A2gZ8ML28rPo133IDQNU5t9av1tBPLDro9Su48mhefZFB8s30RitWVouiQR5K
az2fww+NMwndi/TpWpt0t8+LaYeBZvKFnDWHsNfM7+wFaFyDDFwld1cTcDIyzvQQ57/2CJqgWF1o
J7kd6TYStGfjXv/h/r9tJtr5WrtCUO4wb9PBc5ymc20LtQGc9SdT+1/RsdpUYZ/rbLxQOk0Uaz3q
6tLR4A7NAdE3zBhiuHEh7PBdk+C+FLeOL0PaJsC7wFcXvnWNMtm5UYWadXZUpF/PDfPKk7Xlb3eO
h8sgRBevWbdxXQHQ3dPtNqx28dDCpjunYY7HaQqV/G4ybdvLuJP8pgV6NXdbTCR2RYG9PhppbYW7
lxYe4noUYxsNNzhex4gHUC+s7pl+ZChk7gEjcscUM+W9z+A3A+vzfK7NkuHTDDfJ6/augWPgBi2c
2rr5DSYol2rLcj9MBuHgz5WrLLwbkw6Lz07prlHEfZPayhrY2Ivh3MZuw7ieY0omcGBMfVs7uOyi
rcw2D4eJP4TQUe/NUXMOuuKiioXnlxp4D6Wv2yS6fS8YbFplKMdcXr8vQOZD/qV9uSj52U2yYyg/
ZW2+pCt5clrBzq3tSzuTbIMAuKa89pNgEB2Yoz2a7jp0eiMkwC1IN6AnPc38Malu9dK+6eP6hHW9
Akzy6x3sSlaO6veH8iNxPuzdHGd3QtffzMtXeV+1vYVqPEp/LzVBZrDOL+7DFhHSLu76r+o4HuDS
ZsX1oh4eJhtMNHOqbT39xhXDzb4NuDhk4n3oQTEIQ8XsO4WyTrzit6i5HbEmYt/CpNsQN4eDchik
w6sDvwzbv+lpOtMHtrvZ9j5sZlPmv7/5+7t/kzMeDPIVVmzV5jY0OdPicNtZIt55OFOSDOTjyPrr
gOtG/2O4323I1Vr2bGASW4OryMK47cpf83k/YfigGIQqNRm5QpsuS+r/mPP54f2S60h7+gIZwFpx
161x2KXj9qdxXQEp5Tuzw8KrZjb1tIJHnc3e/WCkQBtv4P+sOEl63zTkt3ZC8hKkVgDlw0ZcUrV3
XlfoxuAAwZKbp0qRSVzbU8tJsf2StQDyIlDbNntXp6+QGB/hvRFL5z5rvpa9/qAYBKSmRmdbosc5
iUUsbmLSANOkkAcHxfbh1z3FYzLElyX+iXe5OA/57Dw7A3dqd0pzlO9+vDFDlq75s2kEOsge5sw+
55PJaU3i6Zx1tO1BKBMEnr4kaobwDhBzrNogukeXNPyW9fXeZY4KawaEMQWJDS3qaBNmytplJVIm
KCcAAAzXSURBVGnX42oYCGm7ZXrIacvJdGDoQWKaCWQtHygNOe26hj44BtlKXIxNl+thnPin3qDl
Ay4zi3uAQ/8NTLnLxvb8iO67u4d09yGTdAVCqHCmAd/YAj2/tAm9fYqjADFdMyLooQNuYrw2131g
0zoMmQaCrJQqr2hSA2i6LVvvk+UMOWinwvhvjEVAX18dTY5xfuzk4vJj/ul1zZyAvcTk/dp6FyTn
758Og2ylTpLrn/3Gb58StZEb9sqNaUpxHiJbverYgKsIUSPXnJSaoa3ah3TEOIY7N0ubXVXvlq9j
Y0JyK/KhhmmajV1kbhvGTDUA2gqlKZr3ieS5/g2q4Ye5Ed63uSujvwEG+dsgQE2Qe2B0qSwJkdgU
qRkStrwzzw19eqnMFJ1b+nNBdt3YPvny1b3imVeYnYKyVTTKBlOj/y6aX6MDIqtBXQi2Rc26bp0m
2tB2iP3ElqWaXwRLAsa+HYypPpehguE3JBJmMVHdQk2Cxt/5rQTDFwb5SNTCqeNYxpMJmQIFOjuh
lt3PGs3fq0BGEea5bz8PKgjhpdEW30uyNn7sZ+OxjX7+5aVk44kcHx3JdDqWIi/lzz/+xJAtAgZP
njzhVK7VcsExb7jP+WIu49FInj0+kVk8vdQsj+MYwCiogOxFAAfX4f5n+Lg6QAdKdKOsJc0mUuZL
qW+YNviIDHITKfYw6Cqn+LrvcQCMm3WhTcErjkvYBeNm2oLRb6QRGoy90560VxEnXEUYqaBYNpgh
HLO2of6iT8HO9/b9d+jKqFOCOT4haOTZ41NtwuYAi/XBVJarmUzGmAoM7XKifavckKJLBPwdu7+s
2wFM1/kpoDB0WLwGkJNAijqWSjJO78Kp2Chkh66XH4BB3AVwDIBtLNdWpQLkWOchdlCIT4dhrkKj
+p+xH4BCMZWLfsIA+r2LtiC2CPMqbDilJiP2uWAHQIT5kklkdj8r8vZpvrCZbKz3lZTEMvGAmelw
0tc2YoMGbYNbujJf67LItzewsg8umEwyyfNIzs/nHJ8XZ5govNbABR33+v4YxEdbaiSgK95nXQD/
ts7vLiTpbFcG37wJU6w9QHycKNC7D5XeFfmI1U3vmZONXrHAHCEca5O5LARptvg2DWRMAeiFToKF
0313yAKsd5Rq9AhOMoZ4or77vvJLzZ4Azq1UVwSvEmbDOYn9zij9CsqOMHn59PSoVZpNPJYggqBA
wwnMbtSul23HyJ0ZpAcltg3etYGxwSrkRJdI2gsSv6EzoDpoaTdk84FrltafwJBJMAKaPFQV28mw
3eceJhmRSS4UD7+i1Rj3agYGrCAMnUlzH8VhFYqUkOG/Qc3P8HIoZBDWLQsJi7jVKBzqdE1Qw3gU
wqau4a+gaUkmTYy9C6cu7zUe19ajbVLI9Vx104xIfqkpucvlGVztxd2T9jtCyxszCTjPg5rlipam
+5zhxgVaHTGC4lrlENrhEngA+K28nlVXfb93TXC6K+04joeXwl6+xa0OsVe73GvIqFFEh7adwXhH
zAnhsYug2xy565iEm5uRLQfnZ2cTtEnVyBf2iTplO9wvcJ/uOI2LgjWE6WROq+QS60BKbHpLQHUz
QD4q8VrgTGEsl5uV4dqj0v68oQm2S+h0ExmMw5oh2/oYShg5ipsWk0HuoHMtjpmFIvEdWJctGnhH
7JERzRY40OthaPjma21I4g0faH1TC1N3lZq+EOt65W4rXGsjX5x3r11attXTXzpS25/YMUsQS4MG
e3EmMe3OT4GwCHDSAJWwoTJgGKrW3Tf7VXb/kKyZGpjCvqMZ3HynjPYuBI2BbZjClLrDkMmu92jr
4YMWscHiYMbGbMMG1vuc+9prcNWYXZXgkEluQEg8Fmhr5OrpOSICmmW3xVVmcThAVBbKp0aetJBg
JVXobFDr+HhLSYcf9Ku14hwwAqAejDwNcE+3JUw9qow55ONSMNQk2FjjqZRLbYR9b+e9F//SJSVd
5CvI1xLAP0zHe43kwKV9egxi5LrCQ5O0/tCemgQ5CYReL87P+Tu0Bf6dX1xopAkfHBT0b4uS7EM4
UoFpR/fEHJvMyJtccxCEbAdV5RG1yQdrbXTHxCBQXnOcOP0UmJE7ahTnpGtI1iaBPihqTSKtoQZj
oB+rVtcNChV2qJkAvokt710VHUKwmEbk3/c+eYp9yTLgiE7F97TUwy4dtwtGhBJnYx3f/VHKn++I
HIYLGqXi6A3TKFc7fC0bYRLRfl3b74MYomg1A/MhDj6+C2LWD7darXPbUcO6mdc1+x0N66V98htO
GzW3iA71/Y1AkhAz8+6P7l7IBTrCO4o4v36fBhr3T15JFof56HQt7QzpgbfxuhVftcDW69dJmzig
k9wdtZ7ZiayuwspLWR4at0mfXaMu/gBLRJbMmWZlnWsaNpwitN9lmvNodSZKzYbo1pXwEDIH29J9
EH/jvqyAMEoknRxJubpw08g+DjFHxMlSiCjCqujKle8avhTf6+ZnSxmFSCjY7HLd9XWJQHOUWQ8S
hqxThp9gGWmbkwFmgGYYZqpvMuBz8235KNbNmsdnHDAE5CyncQQimT/19ROmAKHu8YxAQuZLPoLJ
hVUHTCaM4WtFaJt9b8nkWzKI34BAwUFUbazB3i+p54cGaeo1DZGg+BsoV2x0hFgB31hj6MuWjP2w
q/td0DA07J+3hsZypat+eBJn/lthis1+yYT1G4DSfxSTi1n/XBrUrQPEaI73LULEgflu3jF2ZhAi
Mk3aO+yUjhxwcBAHOtz5Ypx0t1wDh0G6Dc3QKgbBuI0JJ9q+43dkH9IuGKe7IGtNkENLwLFgXTcc
byxDlxsh0wzu+W+JQjQ9HwXMZDOpeIvARj9vfs37fr9e5D2YSc8VX8Z6d4MoqeAOXMZd/Abpbq+F
wKEBouJyQcNHtJlBPGmuTrJmJHt11zfQDn7izW9Fw1pgF1Hyk2/7aABfc9w1g9gDIy/YLG23eGQM
7zL9emj/u3cVIn5oFGFUQjgTIDLYBd81fO35aR7ilqVSXMeAcH3sXgAyAWnC2kAjm7/nt0IylCGP
5QbL6qZ2va7cyAkkki3Yw9F0Ubd3eTrbu649a+2b+DYw1KOYCTKnmvTLLmrUNiTbLYLkE75HDeBG
6tJn8Dp026xqNha7g+TbkKnuahNq/YVWv3HNXRkrMq3bNLnv99xXqPhjU9CaIkHbyoeDkNYLwshD
G2LED2twQqW2jafTdaptYA42pvvZ6Nt5QKymnYhrF7NJGLomDJyxXvAzZEL3+dY1sC6Ujmna4U0g
t49inRTahcB2tt9cR4lWWruNgW+bGaTcfv34g9vQsIPFXSTxNOqkf0eBhmSDW0AtPs3SML3qEIEQ
SnskTrHR1P5nIxAiuDsgK+E3jnFAHGrE9cTm99qk2mL4Jrn/3O5ay/bGWHgvD7FmFjRymoZ9sXQ2
+m6k1V/ayt5aWGIRwBCAM/uAPb8j3n1J0rs0qyoH/SA0ziXx7ipoGHxAqa5/XDNG2T6GH5gmkKC0
xfWOW4nf1FKiAtF6knkzVkB+dxSr8fEluw9t/yQEhHU+oQyoNvsgSKBhc8Mssk3eFv9UFSNJqI6z
2XR3Adi7CVnrTEsE7ssgXaWeRqEALU+c6RTccqPC7MCQzPa19qQNncXdglvDJgkq0dXEMHMEx9N2
n7ZlNQTTbGEGu2v9Pka0KTPgmqxZHELn6AwCp9sbJvSZUgwmeHd2pgvooBhW+WYNjetlh/gdZpI/
BrEzuDfxah/GwB7JrUrPaYtRMKxH0Rkk10E4jDhKwOHBaE7A1q5R+nXZXBiOHWvVv5PA9tqg8dbg
GAYP6trbXD/vfrhGxkh2T8Mhol8IFGOWA8YGQxK34cm6ppYYbryHEIExn8NKW3e5JtsGSN6BIbKr
Rus08OtQr6y5lqvItA00QjGY0nz9N/2r+0IPlWL0QAX5HbM3SUq/ScFdJeD2JatZYHDgCubowrJq
TzMChZDsLrYNbOc4cbPbN3+ecT3Y487Wd1O097yTL/QpUM8Hucqf+NjM4S6ivYZNMA+7ck3QYc7E
zXBPHIMcJSz79YkOvLaeYGTnC/3tUwd336GG+r4z1NfRpvNbryhoC0TU0tAY4xZZXSaYIgkqF6R0
zQBopt3BfXyhT4xBPgXm2KQt1OTSSBTCstp/7A7MFzSKdplXHv+LSfTZUvypMIaGZN0fltFuE6PN
3eUSXNKzAboAgQvLGH6hz5J2YpCPRZ2WsMz07fMUl0/iSlOHAyTha6GFzC07e3yhvxEG8aNUd1lH
cRttYbyJ0Oyd18i1DOEidpfuV6NZwBZ9jJqHL/QwqK0oNPpYzNFltvVvTjq9N0iGcp9BK7YRQJwV
1qL6wiCfK/VMrI8Bx2YewUE9eEH3eHrmLhTGudvnOU8vdSPPvvgi8hnS/w/XhkIdXtTuDQAAAABJ
RU5ErkJggg==</Data>
        </Thumbnail>
    </Binary>
</metadata>