<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250830</CreaDate>
<CreaTime>17094700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>It's purpose is to display the parcels boundaries geographically with DevNet CAMA table. </idAbs>
<searchKeys>
<keyword>Parcels</keyword>
<keyword>Tax</keyword>
<keyword>Cadastral</keyword>
</searchKeys>
<idPurp>Parcel polygons with associated Computer Assisted Mass Appraisal (CAMA) data, with primary structure address.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit>&lt;div&gt;In acceptance of this digital information it is understood Gaston County does not guarantee that the data and map services will be available to users without interruption Furthermore, Gaston County may modify or remove map services and access methods at will.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Any maps, reports, or publications created using the digital data provided by Gaston County shall give credit to Gaston County by using the following statement/disclaimer: “This (map/report/publication) was created using various GIS Data sources, including Gaston County’s GIS data.”&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;This data MAY NOT be resold, or otherwise used for trade or commercial purposes, as defined by NCGS 132-10. (https://www.ncleg.net/EnactedLegislation/Statutes/HTML/BySection/Chapter_132/GS_132-10.html)&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Parcels</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztnVmTFEe2509mZVHFJpXEjti3Ai2IFhISCIGQhFrT022t2223
p63NxsbG5nU+wbzP+3yC+3DvHZsZm1Hfa9dMam2AJISQhNgEiH0Va1EsBUVBUUuO/aL4pxxXRIZH
ZlZllqi/kVRGRoSHh/s57sfP5oVisVi0BkJ/f7/19PTYtWvX7OrVq3b79m2bOHGiPfPMMzZ58uSH
ru3u7rYrV67YpUuX7P79+9bS0mKPP/64TZkyxcaPHx/d19zcXCp327Zttnnz5rLPv3jxYlTusmXL
yl5Hs1GmPtSzr6/Pbt26Zffu3bM7d+5EdSoUCtH1vBPHc+fOtdbW1qhu1HvatGm2ePFiy+fzlsvl
MrXV4OCgffrpp9E7Zb23Uhw4cMAmTZpkBw8ejN6B51IP3ot3PXPmjLW3t1tXV5c9/fTTZcv66quv
bOXKlVF5tcKpU6dsYGDAli5dGrX37t27be3atdG5Dz74wN5+++1Sn7z//vv2m9/85mdtt3//fnvi
iSeiPh66ss7ghTo6Ouz06dPW29sbETUVXLBgQUTsTU1NsffRsHwgMDoJwoSpYBqIHILdtGlT6fqQ
sYDGoj53796NPjQyxA6BUz7MQB25hmshbOpLo8PAMOb06dMj4tm1a5e99tpr0bmjR49G9z///POl
Z1EW9U96v0bF0aNHI+bmvRmUAO1AH9D2/N7W1pZaDm319ddfR9fTN7QpbQv4jYEEuATMdfSFwDVq
P87RZ6tWrSq1L2UmIYke9C78rSuD/PjjjxHHQ4SM/IzaMETcaKhZhQakEcCKFStKowEvM2HCBJs/
f370gTk+/vjjqBEoTx8dJ4Fyfvjhh+hZXKfRjQ6fMWNGRPjjxo0rzUzlQN0oD1CfuA5psAk8Ffl8
PmoLBjTaBwbhHWgPDRj8BnGmAamAmQZQBkSpstQu6iu/32AKta2u1f18GCgZkPhNcL+79/lgcKXf
eV6h3iMRRD579uxUEWHPnj1Rgzz22GPRtefOnbOpU6dGDcUIz8trZFHDMMohVkGoHF+/fj2oXnTc
8uXLq34/952ouz9TiGGrwUgzWC6Xszlz5kRERHszWNC+iIq8IwMLA8mNGzdSy/rmm2+GiLBQiAYQ
viOiITmIAY4fP25LliyJvtOvmrmZOfiLOPTCCy+U2nrv3r3RQCvRz20fBmL3mBks6R25bsRmEMnr
4mCNFlSYEeTIkSMlztd5Gl5ERUfQIbwQzEDj0KiM9Iw2lKXpHjGH2YjzN2/etPXr15c64JNPPkmt
ay1leZcBeBfeKen8aEHuQZ1FwMzotC/96478ScTnAmJfvXr1Q2tLymBdovuhkZdeeilWDOWZDHqU
oXoxs9Hn1A1J4/vvv098vt8f/jtGzMvIrMpChKqU5GqI0e1EvtMoKhzC4yNZlHIgYn5jhNc9J0+e
tHnz5pXuY70xc+bMiIhpIH6X+KLn0igc85f6aEoNAUwD40nMCb2XepeTW0PBO9OOAqNf3GLUn/Yb
HTlnAKG/UE5AiPxOP+kTwvj0jUTkJEBLaWW48J9byYAHLfOJZhCIVsSjEWHfvn0R1+oB7gd8/vnn
9uKLL5bkTsmeup6XYnRfs2ZNidNZvLkLZghm3bp1QSNNpaikcWCQWhGty2h8r0Xn+ffXQ8QqPpjt
1e/0rxhEg0Cl9Yprk3Jluef8e/1jf5Att0gviVga5QVGA4kqSUDDVG6h6o/WSYQw0p1LndOIcriI
Lq7cWjwry6xaC+Q8jRKzCGKyyzjQUMgg44rV/u8h7+f3JfcxwCWVFXdPubpVvAYJeYhfsXrI2pWM
0LVcg7harLg1SC3aJYTpK8W9e/fs8OHDD2mSsBOxaJZWzl1Paq2pdUkaWFum1R0Jo5wa3GdYV6zV
b3Hfy0EzCO9VSLIDlEPayOef1/SbpYxaIeszqKfWU9VA4oc6MI4QpG+vBsPZhl1dXREjoNWTKA0D
nDhxIlKpI0pLFc4aU985zz2VMLevHk6bIdPosNyxz0zudVprxzJI2sIoDXEVC7Eb1Brl5NMkuOup
ahEnAowmLVYul4sYATFKoB+fe+65SOHi4tChQ5FiBaMt9i1mn0oYhPtC+03inF+mwEDvDva+SOeL
Y7FarKQLhlvEGgnikFYuCzS91hpJs0WjM0jRq58rfgCdhxBd15vQ90pbI6TRmj/jIJLpHupYiUZS
JoXYNUgI8deCgUbCd6jeaxC3LL7H2UEaGbkYBkEExQ/r7NmzD7l+aD1x4cIFu3z5sv3qV79KLT9O
xGHt4rdbkvdDCDP5hkIX5TSoZWeQNFSiCRppN4usI1HW67KC6bxe67BK0d/f/zMxhHfAMIcNKwlY
v0MW6XHuKLKQC2nibpzo7roXuef9d/GfFSRiufaOckjr2LTF50iMniy23elWjnBp9aoV0brT+3Cp
eYcbg14/hoigoTTE2ibNUdNfY/jPkUNj0vlKFC7SOA6riIWF3D3OagCqBdzpWt6iaagV4/oLyCQG
aWTkKqxzNbO1/1vSQrqS8n1mSaonTCvaGbZFeqOtQUJHa+TUEE/USp4fd76RZ5BcLhcrp6fVmfWI
q/nK+kwXWQyFwLXPqK76jkbOhesREFduxCj+A+Qxm+UlKlmDuL7/wwW/nknOaT5q4WoSjT6OHM6z
fXGg2kEiVJSppvyCt5YIUYGnhRQIDEQETelaaIIFPh9Gewga7+CdO3c+dJ9UyHJOxCtYxI7zIjEm
DHTM4J2dnVEQG+XhAs/zXKOnPMA5ZjDgL/fgCR75in3xxRclH3wKgTgoiGAfPdStEJ1MJfjNDVSB
c6XegxgwMhHN5Vb822+/LU2ZVID70Zn7HO+qCqkX5fnX0JgaLWSgcpmQ96Chd+zYEX3nE8IgtAEN
53sfy0orF2qpAf2Ryr2Gd8QZlO90NJ1Jp2s9hDpREZT++0lFqTpQLzpM1+nDO3755ZfRd9pTzqV+
Wa6rN3XwYynU7mpT2qrvQYQkhKYy8amjHjibyk7ivr+uwVcvDa+++mrp+ZSlftIxkD+fa3B1F+E+
FD0YB3z/fEjsTmLoAuo4/yShkm6F5Ktf7uNWmg8v5paL5kPWSX7n2H9x93lxFXcbRUxSrk5E77n1
ConcI2Dr9ddff+iZ+kvd44xY7l85Jeod4+ql+rvW9rgO18DknvP/PvvssxHxx4kJ7m9yKPSfFRfq
q3r53wHvp+cl1QlDYshg5M9GI+1XBtK0bYVyTolCLT1ufTkwDvWwurtI0nyMdL1C2gqU0+TUGvkH
IcaPChoiJn0MY2hUjDHIGMZQBmMMMoYxlMEYg4xhDGUwxiBjGEMZjDHIGMZQBgXX4AeSLOBJhpS4
eIG4a1yDVMjzgJ8dI+67b/BKqrv0+SG2ENdI6JajurueAnH19+0dcShn7HLbS/WOe15oW2Wtl2sA
TqqXf43/7JBQYLWze105N5akvnZdRuKu8b/H0V/ccyNPgq1bt5aMOufPn49yrAqETsqtWalQsJBj
tZaBBaOeosCwwBNRpsJdQiJKkQbByOS7s2BRVn5druE5SvfjWqhJCMa9XI/BiueRg1UNzO9c9+ST
T0bPU6NRFh/qSW7WcgYp7t+yZcvP3KRVD+pEqhsSV+g93Xagw3k2ydUA9cSLgHSksppTb46xX/Ac
LPcc65mUI8u30iD5UJsAWcrJB6Y66d15noyu+EdhGce+4qb1pJ95vgiMPqbf844RkfJoX3lFkOwj
zl5EO9CXv//97yOjazngxaEshm5b6jvtogyHtA3tR/srKIp2hI7ksoS3wlNPPVWKTeE9STAITbuZ
Ld16u+9HOTKKiwYLJO8FPJxEyG+++WbpmI7+3e9+99BLkYiLzHe+vxYFkw5o48aNZUcO3BDoJAjb
LZNsfMqw4luXIQBcNjZs2FBKdcnL4KPjWr1xW8GPxg/WEcEoFWk58B6zZs0q5XdV46kcGp+AIblA
+NdA3N99912UvAxAuNSTdgG8y4cffmi//vWvS4RPu7/yyiuZkzjrmbQnKVzjgpT898Xdh/6DIQRc
SaiP+o0kz+QUbk4wCMaV4YL3LeemLtCX9GnSrI5PlZs0jiyKMK4GbZ6Dt4IGeBIDklqKoC3ehbBg
3uWNN94IyrQTRxuloclP9Bs3/QG9eJx7gh8NFgcILC5HKqONyzQ+GAlclwZ3lBSUnzfp5UPipJWV
w383gTaKK8cdiVzXD/ldua4dfpmVhvm6z0jyQE5yQfGf7/6mUbQcyp0Pdeth9kgSM+POuxKJBoak
dhONxbV3uXr7eGju9qeeuCk0STwJjf+Nu4ZnIbYg4im5l+v8JhHCfwGf0TTbJEHTdTnoeeXOp2UM
d0M7/eO4NpQ4WcvIvyQwiKUFESVF2mVxNwmJKEwrwz/Psftb0nqXQbgWmWlA6S3iODmukZSS1Ifr
eVoOUZRWjAs1o4FmIMpR6hhmLHmV+t66cUkZ0kbikJE6LUotrWN9Rz2/sxStVksnvVD/KH8UBv5x
uVE9qYws54WsTObXyY0YBcrGU06JkhWFpJSbSXsryPW5Uue6uMbjNxaGEAovScOx0Cbzu1s//x6f
EOUmX+7ZIUgj2DRPVf98CPFW25GhsS7+s+jzuLYth1wKA9QqM0zaOsE/L3rVFgxxs3dVDOJ67XIc
FxXmp5RPqnwS4sQgiJrZgn09tBEO8Sgu4nJ1+USRJuaFhtzWonPd8mpxTa3qHDeAJIkqSVD8SqXn
s8BX0foM4h4rRqeWeGgOc+VgPw4gLSN33OI2DsxA/ojKfXA6DCkNFccu94dkaKfOSZogyg1NiJfW
uWmipH8+KR9W0uIzK7LcH5dEW0nIVa+0UXcgZaAJjciUKj4JrEvLJZVzd5ry7V26rlqmKSRloVMi
sLiXT1pQhiyMKNe/X7p3GZe4hgU79giBJBAhDFLtwjFJS+WeL6fClB3Evd5nzGpnDB+yL4UgaSOf
LPVrdbY9iwNEGdLWaYzkM4+2wRDidu2SEsVPbFcTEctX88aNFOXUiaFRZD4j8dvChQujnaakjoVh
tMUC8OOS4xg4bSR1s+6VQ7nODVmkh2gDXcgAVyl80aMctH+HWz8faXux5FMGqtA1SJJKXvCt8b6C
R3t4CGIK7W9TC3H5IUpwxRMKj4s2THqoVLFpiAvx5De2SpN1GkJGa/W3v/2tpKnQXnYu4kaPrKOS
D56VFkGZRvD+QOEe+zNMaL1qFX3oP6vS5BnFGmix0rRlSR4E7vk40dBdpFeboeYhNW+I7BxnPNTv
IdqapAZhT0Cs8xoNEWPQYklECVmkJ22UWevOr1aNGme/qQZZtpD2Zxu+Z809NRCzjqmkH0LUxWnX
u8eaGSVGaj1bEwaB+9zCeMm4wiHcOPkzRPTQdT6B8BzcAuQHxjEM4ap5fTtInBJB1vwkhLg/1EKj
lFae336hu+aWe2bowBDXBq7kEDIL3y2j6g857z6rHOLopBwkGrrtUWl+rtgZxC8sTiOUREAhDavG
i5Nh06bCOLk4zp5SjkGUBaWaPQrTbC3+2i1ureSLQ2miRhrcdDkh1/rt5svxaQNJk7MFcxxCtUZp
WkX/vD/7JWXvd9dAIcqCcnjobvfhSen6kzpCaWXSEOenw2/sachCXcdx9/m/xzFIOeIOXaSXG9lC
FsRpomrcGqwa0TDLvorI5mluLWlZUpqbm8uWIU/YNLjq5Tj4z/C1WEn2G2aaavdKFAoaVf3pK27B
nWZLCGkU7VybBlymyZgn4x/Hfv3inAprsQYptwgP0daluZrElVkNkmxWcYgjbL/N0t4vV6PUtH6S
O78+Upb4sTk6L5cdzaAS7aTm1WzJsRsn4rZVqmngo48+ihoNH38SrbkVievYJNVcKHHGjZY82y+L
EaC9vb00QvpaLMohUyE7G2m7r6T1kVtuGqq9Js2nLantRjJXle9q4g56oe9frIEWC6nj/fff/5kT
qe5nUMRdXaKSYmsUtIaIRYiF6s8x8U38JZaE/RWhGzSkbmZJaUZZ1xK3Uo5mCso+SCwFASi4laty
WDLPnDlTGlFwSU8aqRQsVAmDyFNXI4D2XleqTc75cjwq6HfeeSeyj4hBlDZVKj5l6Q4x8Ak8i07A
UOmORIx2MmjeuHEjOu86xOlDPbmGmARp47he7UpZnCdlqAihWjtIlpkzq99VHHyLdlYLuQDtxaVd
1V9cj1xxLq5M3avBXLOGPtK40S9umlR8/WCmOMO1i4K4D+KnsbRIhQD50MGIMhAeHZvEBNwbkuGP
xvXtDDAggU4EIkEs0e6ihULkj0WZvLxv3eZ506ZNe0iRoFEUq7sW7NKVu6lAy0F2Abm7SARVJCTf
0baJ2aR/1zP4EFVJu3Iv70TwFce6jvOKdZC3cjXZEfVO5MslWIv2cttFkYw8g1mX1KBJSoMQl5z+
FIVKmhpYIJE0beHGbGgwVAwN/SelgO+a44ZA0I7ueZ+Z1Yf8ZeCnHUIGlgJhrCGg0ak0nMf0pZDS
rJqYuEW0wkWxnPuKgnLGtbj1AHWD+DSLCHxnECAksxx4RyIbFTpcDehoIijLBYLRWdS3Gn8hCIhd
nWA0EkIr1NXtD7WF75EQt35JkwTGpailIeo0kU+jPvavWrvepIHBmC3kQmwkwTowjRoQDotnGpqw
UsJTgbKaVyIvM1NRaUImKYPRTteJ8SB8LO00qKu6cxsXQiHs1N2B1R2Vtm/fPmLbQGfZaataxQIM
8dZbb5VU9eUIjvNxqk/N3LRTmidBc3NzFCbsrkf1DhyzJTShsmmoJkisGshbIoReMzEIRItYQxw7
IxYilxgk1BcrrvOYBrlXIx8jofbgdhMZMC0yA8glBbjExX0Qd1wHp+nus3gNZ0GauKJtHKpBkltQ
HLS+VF/Rr6w/WSehFKGstFF9zZo1P/Oo8AeqEKZPU/MOF9S/vl9aVQxCQZJVtYebOxLFRQomVc5v
PIiIBADaEiFudMNOAmO4izhGKqZK/tJhdPSSJUuskZA2aNTCXygUJL6AEWhv/kpxweDDQOevTSod
RLK4vdQDosGQZUHFZkZfNAj1KI1bwCktTxpgAlK7MOIi0tHhyNzSVmmTmaR7Q5I21MqWUiubQi1B
25OthE2FyKIidWmWGSgEoa4m9dgPJIsSIRODQFyuKwoE6kcghrwwswFimouQOA+ejfaIRS+LK22r
pcU09dm7d+/P0vH45dRrj8Jy14zUSKr6MIiQOqdeawAgFXg94KuWa8IgELE7ytDYrnpQKXfSEJcI
jYqyCGdGkFcwH9kNaEgIFzFMuZj4zQ3L5flowsjZ5E+dUrmGEmKtCLZS15vhgupTbRaVNPguIY0o
YvEJYdBMDFIL6ynM4c8Y/PbCCy+UHPvcBbWmf9TKzBzo+kX0GN9Ym0ilyzWukUgf1i6UyXolDdrn
rxYICUOOcxIdLkgZwDt+9tlnpd9pSwYid+9CUHTcxWUoddeAIjDf7wmNZIg0kSWGpZbgXY4ePRop
mWq2BvGtp/4xjVWpepSOS0plCXgOxA1DKL0kwG7ixgC4xjrVEXCcFMeShCRmr/WaIauIhfsEWRRd
i7G+aw3mW5P58DtaQFTg2GVcexTn/eg91WvQi/Nxy9Q53xKOhTzE/6weGiyALQ8ThR+RWBWDxDWU
f1xu5JV6EYu8rJpSB8Jc2nZXWh11qna4hTEA6xDSXmYFz4Ow0sBoTipUmNG9VwSQlLRC9hvAe1FO
kms8ZR07dixaTzE4pOWwdbFv376I8aWKZSREPavZQYSnAUOaKoU14+IiopBLD9e5xCK7UV9fX0lc
cu0dcivyNZdcQxugVfzzn/88onsnZkVS2tSqRCz3hX27R5pHKQ333nvvRWXgxyQxSq4N5KvVOkbT
ulsmnYVqks6BmVzvTHdEc5nLVyIkxQ+44Pm4hqg8eRMrYZ4/Wmpm0rUaNORTBiP4oDyYlbzCofYj
gXdikGC7Y56BsgKNVCPh2rVrQUa4kVJvV4PMlnTBN26FpIph6kXX7k+tfiyJ61PjWsJ93bV7XkTq
+kz59/tpZOLAqI6HMEQojZYW0r7PkMQQ+Q25I7e7TXMcYIpKdg/mPsnu8lVqNIwPiLvhfIjavd4I
bl1fThaxhkbrcY7FsmsFH0nA0KGLQmT0RYsWDVtdqpG//TVLLbforhXGBewNAhqRuX0E11BrgaSX
i9NO1UudmYSQaX8kFo6hrvdxQKSq1yCTBSGKhyyiZb1QYNEcpxoF+s6L4ELu+z25x+5CttH03kJo
WOpI1DO0Lj78rQkqLacRUKwzPYSgwILZV4+68qGMKgQRlWOINAaJS5I8kqBufqrKOCjDpNZcrkgT
936aGf1zSfHS7KrEWqjS0RMlB8oK1km0KYFZOI6qfDfIS2sB1U3vJm9W/e4ymbyofTcif80jVbL+
uvdhBwkh/nqpebOgELcrURz8NYefwj/NOpsl88ZwIYQoGRh2794daZkU96Dt47TFmRsPz3mVq/bh
erZ689uD94c53N2lKoEUBnwwsPoDnALOpGFzz4lwXcWCBkRXCeLe09vbW0o563vgyu9KKl+pekMY
xN0mr1GRqZfcl457qbRGqbdePNQdH38uN2AKZoEQFNqbBmaJuBzGIjo5CVYCGJU1iJszrNHQ0dER
ZEkPybY/ahjEd5nwLeksHhl5XSaQ2KVRgtFTo4Y7kslPitHJjQR0/7qjkoL8/eskXqgsl0CzpCXy
GSmr1qlWGR7j4G7K2ajIBbZVaBqmeiJTPIi/K5IrJvCdEVYvzccnFJeo1TC6xk+f6a6HgIhCRO+L
ArJ1uGKFf13oDOKvQSSyyBbjX++Pln64by3BsxpRtftLRTCD0OmIDnINYcZgRtB+dlo4ijDdBbHS
5ftEo9HQ9SNKW9wn+fgwW+k6bVntyrc8hzVE2poLAiSkGJ8nGAqmUKIJ3DR4d+otXb9mJo6pA89F
xMARjtgLfzfgakdMyq8mTelIoD9mIPnFM4jSAwEttuNG/KTjahDiaOiKcj74DcIOiUnnupdffrnk
73XkyJGIuZV4AY0RBKA1AOsTxEbEPgaNtra2KN4FIk7yLqiGeDSjNTJ6Ahbp5XYqG7WLdBHfSBv8
QhZ8Ia4NIaJJWiCYxDj/WOufWm7eklS/avfdG260BHjJJm3Q1GhofFv/CDOav9WwFAdJqVPdFDeK
mcClJW6hXotZldG50dcgTQEJMhrBsyIEjwyD+D5MSUhSFrjnfZCsTVoz/pJrLEmTVS2T1CuOezgw
KlxN7BGBrL6h1yYxln8MwbJmYVRndCcOhLVI0lqhWgZJ2qR0NA5GowGPDIMoE0oa/AR42Glc7Zp/
LPcN9yO1ddwI6XsgZEW1eXxHAn0BLkWjhYkeGQYBIe7udK42waEDYRiIWnYYGT9FBK6qGuaB+KX6
HQ4jWKMbCUPr2AiuRyF4ZBgkzqCXdB12ENS7cv5jxsAGApSVHYc8gM1Dal6F2KIS5x5UwMQ/1wry
KKhlatThQEvAJj0MNDjAkuzPdbB0VfZKA1vO01zf3XtdFbKu82d0wo9D6OGRYRAQMqVD2Js2bYry
RsUBxmG9QWp+cOLEiaihFWBF1hVmFwyEwxEx53vajmY0NTVFxmbt8+5GY+q771QZFy3q7v2uGT7O
00LA4E0myRCJYoxBKpCNfVdwX1Qo5x4PMShxRakTYvKE+R95yvqBa42KYkodeRcSJzz99NM20mBL
ilAV8yPDICE5qoDcR7TGcKdy+WnJ3Z3ftd6QWtd1mIyzg+AlzKZE3K/gJ2YkP5adMtwkE3JtwZO3
0VW9xQZn4LTo14eutUcIIYtm1hP79+8v+VAhJ0OcJK9DhcsaBLmYtEC4pTAbQODaQ5G/ErG025Q7
o2iG4iMRTGsYP2mbRjnWHQrR5W+j+2LdScloP1oY6ZFiEAgzxIbAdRs3bizt2Y4LP3mr5JsF88Ao
yiKPgyaETJ4qQJ4qZpikbCYuXN+xUI0Xa6BGRz5gdGbwqFdu3iwuLgWswNp2TEQkmZq//M6I5YZo
SoyACOodBBWKUL27ssQnbajjpyb1jyGOtE1s3DplxWhw8pvkbcoZh3rGgWRRlRe0SPKTAUgeVgyz
+6GTyD6IiPBLYxAls9P6Qrm2tH5x1yBAGhitWbKmOM0KxK165bQNRSgDj1RO4qz7vLsoVNrYyOSj
Ia+RoAV0GkTcxIOQFZGFMrMnoyLEyTHvzkIbkPQCpmJNouQWoXH+lUCbWo525OqYmzfLDFyzDXQa
HRIXQ4N9YAZ8rFh0z5gxo5Qwm5mTwCvZQViDwECyg7BGGE4LcehOXvXE/QCXnnrST5b+eWQYhPqG
TOnqXNelxH1P/9iPnmOWGk417Gho975AX6x6uc1kUQ5UxSCjCaHxBxC3gnlE/Fp3uHYOMZKCpKTk
kFFvODu30X2YWgJcYdxs+CMNpW8KQVU9CVFoG4O0uIok63JcgjJB9yfFVfgjte+W7isdQrVYbHHM
mkPJrrFl4FIiuwZ+WFqD0AYQLWsWCIM1SsgWyNWg0dcgLS0tQVqseil4sszwFTMIhjD2qtAeEjjt
IatLzo9LJKeED8r65xu8+F1GJl4CInWJ2rUu+5F+Kl/P9/djZ7SifmmgDLa59vdRTLtHYGH/qK9B
QgCD1Os9RmSRjiFNxjRmkY8++sg2b94ce23cTDJciFOzcozFW9u3pd2fFf7zhvMdG93NpFZb+g0n
sjiR1oSFIRDUxcNlHKuF+JG2t7cQsslOOTBTZZFxsyLOx6vR0BOwtqjnGnZERKws5vvb3d3Wd7/P
nniirW4NE5o4DrGsmlE6lBErRb0WtrW2cdQzQyTLg1A6rAmDuBF2LmgAFq+fbNkWTWtrX37JXnzx
JZs0qT4W1BBUu0Uy9w9nMoLRoOadFOhq0ujvUXMRS+DFOzqu2rZtW23fyW77of/f20Axb51ffBr5
4rM3H859I7lICx0xuE6uJC6jxGnb4rRsmklRRkhhkBQF5x/rr+tvpTWRYtlRYjS6FisU9dJiZckr
VjO+bY09AAAR3klEQVQKVYfSgd9887Xt2veDHepZbSfvvWgDxaER9ev8f7JLnbvtyr98ZM8sOWCv
b9oUaZZGQuxihguZ0rmGDIxo2fxNSoHiOACDgpsrGFy8eDHyBqYMwm3lu8ZMSiiu4k0Ix8UPTgzJ
fu9kb5R4FveXa1kj/RK0WHnPDPCLs6S7gGAgHIjg0y1brPnxafbH//AXW9MzxT7cZ7brqFnPXbOB
wWY7NfiKXR5cbp3HttqZH//Z1q97JdrjYrgd8EKnc96DkFsCk+I6MK0cVN+A92Efd7UPthMYBCBu
QuhyFOU7Ply6vhxCNiIdLZb0esHPlzysDALBoELFJ2nv0dPW/Nyb1jx3mZ3JN9kzc8xeXWx2/qbZ
P+8w+2Q3jWfWM9Bm+wbftfPFM3Zt68fRva+uX2/ty5YNWzAQI30IE7rey3EIdeP2/b5cm02c/B2a
LXE0eDD0BTDIaNDGVc0gPT13bceOL23vgYM2sOAFG9++znLN4+3uoNmBm2aHuszmTDBbO9Xsv/3W
bOMKs//+f81uddNAebvat8hu5P+zXbr8nV3469/s2fZD0eg9derUmhNCaHlJWeZDwb3I1q6c6z8b
JnR18VnScI6Gxe24gF1uef965ebNFA9SyQN4saNHj9lnn22zm4U2a331L9b82HS6LzrP/xMKZvcG
zM7dMbvYY/a7uWYbl5hdfNPsf/wrHT1UVt9Ai50YfNUuNa2wziNb7Oy5f7I1a1bbmpfW1DwHbQhh
VeuGrXvT6l7O5SbtvkZnkJZAV5N6pR4dNkMhHXPlyhXbsmWLnem4bs3PbLIJc1aY5R4e/RZONntn
ttnBm2afXzHrL5r1P1gX3XXU+JMnmy1awu5UZmdPP2l77//RLgyesM7Pt9ihgwdtw4aNUZ7bWjRk
aKKyakfouJSjca72vmdx6DO1Q1cjoxhYv3oxSJa8YsEMMqSd+sa++W6P2byVNv6Ndy03Lt6ecanH
bGeH2fmeodmkKW82rZXZwuzj74dmD9rwuVVm8xZAQGY3b5jduJ63K33L7PrAPLvY+a1d/uv7Nv+p
b2zTpjeimPB8vvKRXRkT0xCynXXWkFhFJ7pwR1htQxeK0cAgxZTNOespKmrTp5oxCI6I7733nl3t
vmcT1v/Zmp4geCj5AXcHzPbe+Ol4sGh2f8DssYLZmnazsx1Dvx/YD+OZdd8267r50/V9g612vHeD
XSm0W++F/2dX/vf/sjfefNNeefllG+7Milh4YSbtC+J3ZJzHsfsbAwnqXTGKOiJtxgglFn+X2UbE
vUARpl4MUnNnRTp83bp19sUX2+3WoS+s9fm3LD+ZNUc8WpqG2Kd3wIyqUJ+9183emmX2X98yu9pl
tnW/2e1bZvv3xJcxqXDNlha+sMeabtvK55+39vahrCGVAqIKmVppPGwYsoj7WUfceHTZQVyCJQSX
2c43RrnMCfP4i/TQrO3VJr8eCQwEzIa8f4i2a1QYCtHMoMMn1Q1pG7/f/j+tOH+VtbSvNSs8bA1d
OGmIEZpyZl9fNdv3YCb54ZbZ/Elm7Y+ZvbPKbCvmgpiBsJDvtYXN39mC3Fe2aO5U27jxz7Zg/vyq
xCsQOuoy/a5duzZRJRxiB9GmOklezL7INRo0U1kQatOqV+BXFsbMtEhHTHjnnXds5cqV9tlnn9np
Lf9gLSvftMIs9u/7aVSDLEQaxQff6f/mB5d03Rk6dmk2lyvatOZT1p7/1GZNvGOvbdhkK59baS0t
tVvIZemQSu0gcuP2VcX+sytdpI8GZsoHznD1SsKdxSidWc1LB5HA4E9/+pN9/vnn9uX2/2PNT7Vb
66q3LD9xip3uNvvHU0NMgZpX5ARzTH8w2Xx/9mHmmFDosuWFLTZt8JDNmTXL/v7v/0vkMp6rw95+
tZDvfVUsIocbB+2rkrNsBTAaGKQYsEgH9coQOewBU3QmaeuPHztuhZZey93Ya90fn7GW5a9Yy7JX
7J79fGSYVDBrfaANvn57iEGa8n22AHHKvrSc3bDe5vvWebVgu779NrKsT6ixHSTEGKecu5UiKXNK
ufBgGDfUaFatlm24UUzw7G4URg+tX8UMcuPmTdu2dasdPfaDTXrqgi1+8bLl84N29cR06zjYbffP
HbLxz79lhZmIXT+NICwhdPRKe9GOnTxry/Of2KTiBbs2+YJdnHrc+pvu29zu+db3zT07eeKkbXh9
Y+R+Ugvv1dAY6GpnEGXr8OM2XMOhP8No488QsLhtZAYBIemV5LVcD2gQDOnrQpZC9+zda19u3265
iZdsztrz1to2RAQdPX22u/UHuz3/hM252m5t2zutec6KIW3XhCeia7r7hrRa93tuW/+5LbY6d8ju
NV+zY9OP2O0J16IZZVlbqz23vMvy3Yft8qHb9i9/7bRFi5bY5s1vRe4nIwGY8cCBA9Ffd1tnCJzf
XDd1eQjznfOsOzCkoswo1/jaqq0SpqxnqGooQt7H1QaONLKIdgWSMwPp7TWFK8esrMDEcXRcO2cz
njtrj82+abn8oN3tH7Q9HXfsdNc9G6DTxvXZydl77fE7523eldvWj9i1Yp2NW/qS9Q7m7NOd++34
ru12o7vTLk09YZ1tP9pAvt9amvL2+tzHbeaEBxVv67H5a4/brQtP2MkDd+3Hfzhnz69aZTNnzCjt
IcgCD5Wnu9WA+5FaV8SEQ+Xs2bNTG2TDhg3RekFu6e52au7aQecVA6/PjRs37Pjx45HX7cmTJ0vt
hzcvia2pD967yozCMfdwTHtrZHXV0u473rx5M4qtx96izXTcGBJ3dnJ3Z/LPa8clv92A/rY6M65b
jurHef9+zoUa4mgjBpRyz4+Ln1H/qn5x78eHWdmvmwY92luKlDj64RP55SlDoGRCyWcyrJVkxWLR
dn5z3XpvjbeBGTft+M0eO9DZEzHJQ8gXbcpTt2zpc0fs3rmbdvXgbes7dzBSZ+2+ecmuI04tOG69
zT+JIPcHB21/xx1rnjnJprQ+qPRg3nq7Wy1nhWi7rCVLltrECeNj66cP9fR3JNIH93WytKeBRq8m
kId7YUayosgJEUJcs2ZNdAzzkbpU6Ul5B+xM1I3vbv3FnKWmzedLLvJufIv7ni7TSoRxzyOicR/1
Uj5ml/Fln+FZfc55zVyueCIx0h00OE8wXBqDMFjxrGvXrpWep/YRA2sfD7d8DZDueReuV4JsVO6H
8mEcBi8xsvuRK498xQqhogsdvnzFCtu2bZsd277brj75g91vfXgfCIj7xZmTbMYEVLNF65h52o7e
P2VTriy25oEWu/TUCbs98Xp0bmnbeFv+5Hg7fL3HTnbds8s99+3DMzds6ROttqx/rnUenmNtE+fb
3737es3WISMVa5Al3uBRRWtra112l8qK4DWIRuF3333XTp9+3j77fJu1Xdpv51lDNN+yVdMm2eLH
W605n7Mbvf2263K3Xeq5b8Ums67ZQ1bBohVt6vhmWzNjkk1/IE69OvsxW/L4eNvVcdt6uptt4NAK
u3Z/vr26br2tXr3aJjZ4JvMx/LKRWYvFlMY2YthC9ux52j7d9qGNn3PZ5k2+YgPWb99d6bajN+5a
Hw5YDlqachETLWlrtYJnFZ/W0mqruhfYjTNT7anpC+2P//HdSORodJ+jMfzyUXFkELIai8Xm/qIV
z0yxkx1T7Oas43ak0GmDnpYFpnh+2iSbJFO6g67zT1rH4dk2eHecTWgasNu3uuxKR0cpnnsMYxhV
DNLX129ffbXDdn/3nc2+e8T+0nrcmm3AdvUusv0nn7ZnJ8+yCzMO27X8LXuytWAvzZhkMyaOe9gq
njPr7Rpvlw/Ose6Ox2zRrE7bsOGYTWjus68PLrR//Zc7dnBpu23Y8LrNmpmeLnQMY6g7g7CyZ+XP
Ir3v0hHb3HzY5oy7Fq0swMZxh2354EXb3r3cxt1Za3NnXLT2xVettXVwyCHrAQb6m+zq4Vl248x0
m9zaa79/bb8tndNhTfkhjctba4/YM4sv2md7Ou2f/vGcrV37iq1Z83JNfbLGMIaaMsitW7fsk08+
sdNHDtiLuR/smdYfo1nDx6zZXfanRbvtaM9M+3xvu537bLpNf/qitc0dUuV1/Yg49ZQN3Gu2Fyee
stUTz9j4U/dt8HjOIvZgmikUbdq4m/aHqbvscOd5276tK0rqsHnz27Z48dAmNWMYQ8PNIOie+9Ev
N/HvYdtH/gmzpmdylp+KP8mgPWsXbeGsTvtm/0Lbs2eBdZ2dEk0id64+Zoueumqvrzpm0ybetsGr
RRs4lbPB6z+3DBeLg3a/vxDNXJFee2w5MoZGZRD0+n/4w9/ZyZPP29atW+3w1aO2vnDE5o27Zk1P
56xpIZ6HP10/2Fm0cad6bf21w7ak5aJ9dX2Z9RRb7M2Ve639mQ7LN2F4NMvPzll+ltngNbOBo0Ub
7Bjigx8HnrQv+5bbrdbZtnb9K1G+qIkTx9S9Y2jgGaSpqRAlUGDLg2+//dY+/HqHLZlwwl6fc9wK
hb5ohohmhCMQfNE0yczIddm7Ld9Z0XLWdGrQ+q8OMUbTvJzlHoREMPPkp+Ts7tm8bdn1tB25P9sW
Lm23d9/abDOmD1mkxzCGUaHFwikPf6W2trahdckH023tipO2oudHswtFi1maRAv5yEwI03SZDXQV
beBE0fIzcta0NGf5NrOj52ba9gNLrWvwcXvx5dX22oYNNqlO2wSPYQxC4f333/9ZRnL5osivx4/+
kgMZflwnTvTZx3ufsX25Obau+ajNb+q0IPSZDZ4v2pkLU2x36yL78foUyzeNs4ULF0RMiBpZnrKu
457r1IavkPyOiOn23addv5z29nabM2dO2SqR/pMcuYKeD+S34z6f9pFfE/49bn3l+Kk6yXFOs6HC
brmG33Qe6B7X41fu8r5DneJIFKHon1MZfnJx+d3Jty3u/qLjKMjzXf8u1/mP72ofci2H+Lz5oAx8
2HAidB0Phbj+d4+pX5zjpMrCsRPfLfe8vKq5hvbBCO47PRZItAxchzB9dzvcv0YE8vbbb0cemUQX
/tvFybY0f8nWjTtmj+fuutrdh8Ddt4rjbcf9ZXZ8YJZNaGqzf/eb1yIRzne8K93j7TcoxzXVz3dq
c+uPUx37mKcxCNew3po3b97PHP/c5+pYDoN6Pgkb8FB99tlnS+d1H+fxnMaRD2dFEZsc7/yyefbO
nTsjJ0e/DXSdNheVU6RfR56PZzGzvZut0r1f76d9TXxv5QsXLkR/KcO/XwzmPp/8zDgialvsEJw9
eza6D1cmfP4Uz69UTb5jKqDeu3btslWrVpV+8xNia0diOTTSP5Q9ffr06DcSjVM+9Y17Du1TCM2m
UQ6Ex0JUe/bssS937LCzPdNsdeGUrWo+YwVP4zVgedvXN9929y+23qYJtvJXz0XZ0OmA4QKjDxGQ
aWCEYfSrtC4wIiNR0ggK80EEITtQQfiUNXPmTKsGbDrK87TPe1YUH3jwpg0uAtd98MEHET2EpHDd
v39/5JUBDWTJpAnxY5dDMgiFPHTlwa5ZgvidJNQsjz5TLKmBmAWYTb76Ybwduzc7ErsWNl2Nrjkz
MNV29LVbx2CbzZk7x97YtOlBQrjGSGNTbT1KoQEJgGBC8/5qa+lqUa2CIxeTKbIcmEk0M6UBkYr4
ltdeey1z21fyXn6wmVz6y6HmG00wlePxy4Px9f+3q5NtadOlKAj9eP9MGz9xsr3z2vooHmKkslqk
EW7W60aCQWqlufNl9lpkiqxF8mqAARgRstKBKWu9/DqFPHdYdmJhFEGU+O1vfxuJXTt3fh2JDCtX
PRtpwHBEHEmEEn614awhzwktv1YMQlBSNfEpvRUksdCCvhyQ+RX1Vwnc9Ug1M0jauw3bVkVUXiph
ZDzkcxZu9RCnQhuyFuJIuQbPWn4tstsP96xYKSINUZU7ZWXdPoFoQldqYe2ThhHZyyskFnw4IZVr
vWeQLOVTVq3yRjUig9Rix15i+10taxoQ+10GkYq+bjPIcDXscDHIcI+29fAIqMWsmB+GWb8WbZ0V
DSViNRJCG3O49+3OQhS1YiaIoJokFPkK7g95z3oMFryLO2OEbCQ6LAxC47ipNuuNUMKkztUQkzJy
lKvHGKzUFtWsQSqZ2WAOV2zl/jQx9v8DIXAs1vrIClwAAAAASUVORK5CYII=</Data>
</Thumbnail>
</Binary>
</metadata>
