<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240322</CreaDate>
<CreaTime>07043600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>MS_AreadCodes_2017_AP2</resTitle>
</idCitation>
<idAbs>This dataset represents the telephone area codes of the North American Numbering Plan (NANP) area for use in telecommunications analysis. TGS uses this dataset for reference in the verification and quality assurance processes of other datasets. The dataset is a 2007 Q4 dataset representing the geographic telephone area codes, also known as Numbering Plan Areas (NPAs). Excluded from this dataset are area codes considered to be non-geographic NPAs (area codes designating a specific service rather than a specific geographic area), such as toll-free area codes which encompass the entire NANP area. These area codes are in a separate dataset called HSIP Toll Free Area Codes 2007 Q4 due to the magnitude of the shapes sizes, which when included in this dataset excessively retards the refresh rate making the dataset a cumbersome tool to use during the processing of other datasets.
Note: April 2017, MARIS staff used Select By Location tool to extract MS Data.</idAbs>
<searchKeys>
<keyword>telecommunications</keyword>
<keyword>boundaries</keyword>
</searchKeys>
<idPurp>MS Area Codes 2017</idPurp>
<idCredit>NANP, MARIS</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztvdmSZNl1pvfv4czuHuExZEYONaKqABQIAiTaCA4yktYgWyYz
mfpauugbPYOeg4+gW+lC3fcyydqsNbQENqgmSIIkaq7Kqpxi8PGMe5Ctvd0jPIeKTFRWhHsg9pcW
6TG5x4njcX5fe+21/iWttRaBQCBwBZDrPoBAIBB4WYJgBQKBK0MQrEAgcGUIghUIBK4MQbACgcCV
IQhWIBC4MgTBCgQCV4YgWNcdC2gNCOneRd21EBEHX3xZGgnLAQ0DgwYKLWCAhKcQiEBfefLhLKi0
b1nexxg7vaV/zyKevL998v7iyS+/FMaa08eQ9IudA/1e51HjGAYC1goUbOB/52XlIt0uT1TgUgiC
dd1hdN2Z0ysv4pF7j8RFG+3EatbMMVMn0KKGSDkk55iCoes05OLqXQrM04LzhGAt3lY/by079/5p
Gp97+Eqp0/dX77t8m81m0FqjbVs0TYO6rt0tfUyfF3n0zHGenhrGkPcluJXoxUPs9W9ir3cTRdw/
E63ApRIE65pD1521FCVxF/9IumDdJwHWciAFLGtRmxlqNgGMBuOAQgclDGIWPVdwlu8/LVLPCtbz
BW/5vnzBn6gVZ8K4vJ8xZxGW2PUhWsIYUpZhm+WnkR7dtmhOH2s1Aly+39YakkdIkYEzjYbPESNG
ZBMfXIYI61IJghU4Exe6SFcuQkGiooFB3AOLGxzpCiM1RsMqiEhC8vh0SWXZQmTw5O2qODzv9vR+
X3P/ZkVQnodg4uzxnNZaWO7+d/+UPVvynYrlE0vT80MlkabgsGhRoq4rtG0NlnAM5V5QqzUQBOua
w2DA+SKyoQuzayBEhCiWOE1RcQEBjsgKxJb+ZGIwcB/9nLainonAanvq00usp7ErgrJ8HH//ZST2
8n+iq1HWMsKKReY/dgtfcxp90S3Bo7Mk2fPaahtbQ3B6XANlNHTXQtoESZIjl72XPrbAt0MQrOuO
5WDMi1arGkzbKUhXMpk6AUhMgunkBCP9GG1UIcpixDKGgkbXdRBPCcpppPY1IvWMaD0lEk/fn/Pz
s+5L4XkmeqLHtRZ127ivcc7dGy3vuODujdBQZxHdyqEtxSvmuZM6Wg4it9CxRV1OMa8niLMcUoY1
4WUSBCsA7nbqNDRTmHdjtKZDLCIIwUB6UFnKX00B0SKRFFf5VDslzK18Qfb5aX16agn2bFDz5B0o
KjoPWkq6yAr+duUHOfHKYxKcs3/0eNrq0wjsibusHMxpPqwBFCshMyBmAoYxGN1Ax9rtrAYul3DK
rzu05BN0wVM4Y9HoGpN26gSLSYaGVxAZA0/oGy1KzJ0YSKSQsURLZQ5P8bzk9fPEyn2OIpdz7v+i
rLZh5pm8mH9c/7MqUpyVhD8VbJwl/+ltRaSeOkZ6f0/uYWZGMGxOi1V0ukFXK7S8cuJHS+XA5REE
65qjeAfGBB6OHoOlFvlegdnkELxfgckOKUtWvptyWdlpEGRAZQ2/SaHU8+qwXu2Cf5FgyBcsKVeP
6XmVYlM8wlxNISLhdhmpDksZwHZe/AKXSxCsa46PNIyrT5pORlCygpIK/ShzwddZldP1hCQsibOF
PGsIEWN7u4++HKz70K4lQbCuOV3XQMYxeoMMUC06AZiEIimLWTdBFPldtusKbQFQzo7kqrMakeUo
ij4yijQDl04QrGtOFMeY1iMcHT/CqDpCw2aItyS293MkUQ5zzUu6XZsPo2S9T9TTriTtjlLRrOXP
bzYKXBxBsK45dCk+ePwAtZoiH8QQLIWRGnXbIoszGHS4zjDGXaKd0lVUKEvvzOcVsqhCr9he9+Fd
O4JgXXMm5Qgno0MMDwa4s38TDSpMMMZYj1Gju/Z/IH5XUQBMu4S7dVW2i7fApRME65qT5AmU6TCf
T/FV1qJGBZlLCEF5rITS8bjuOSzBKaPHoKAgkKIoCmSLCvrA5RIE65pDZQlZlqA/yCEiA6YsUh67
6KrWNeJvYO/y2wS5QUgpoBY7qblIUMQFEmQgo4goXEGXSjjdv+V8XV/fkkT1cXDjDo7lVxCxhowE
OtM5RwYmKH/l3RiuK1ZyKNSIXJkoR/mwwiieYWt3F5F0/hbrPsRrRTjb1x1GJnnUa8dgqQLc+v48
zayrO4oW9jHXGfLNYkKDsQhZliFPeq4vMXD5BMG6JjwvuvJfcN11rsWFLzr32DKhTLfXfN+ePCk0
9R0aBiklkryHPMnBmYTRmowsApdIEKzrKlQL2q5CrVtooVyvHGfCRQ/khaVDdOWakQw1gtMuofWb
EZyHy2ZdhDN/zelsC21bWEYlotw3E5NouS49irfOd0v4bcdFnO580FIZqGtyX63RS3u0f7juw7t2
BMG6ppwa3ZE7p4RzZnD+BG4ohXb17ZpTc/P1XhPSctCdF4o4tYYmX3jdukr3KKwHL50gWNd851Cj
820nCzuW1aSVuOZidXquyFvLbUxIsihdLAupoHTdR3f9CIJ1zWm6Dlor531OCx++cOeUnGIrdurI
eV2hc0EJd1fAICV4mrqWJdpZveZtlmshCNYVRy/STFQ35XfaV3JOGuiUcg3OYArHs2OM5sfoeONN
+WJgXhy5b81wNk7LCPPENJnrjKRmJU5ltAYDJNjPCvRMDGYsNA9ZrMsmCNYVh5YlfnCMzz85B6dF
LRUtZ7xYmUUehppLWnSsca0mtCMYeLFbg2TSjTWbzqbITYle7k+8dycN68LLJAjWFYczWrL5uinn
sU4WKJaBU57Fe/O5iS/TdoxxdYKpGkODJr8ISONnEQa+HmO0mx5NUk87hJVuwAp/vo1VQCj9uFSC
YF1xjO1cEaMb+b6crryyMBQUXTGKq2og0Sh6MXiauLGpdNnNMVvzb7DZ0Pmkclpa/MVRjJhT0zN/
qRq3wLdPEKwrDj/d3fP4lBZ9jtp1LebzExzNDvGofODGdMk+R8Ijb0pnDNJk1bM98Mz5pfFn7qxy
DPpDDPTOaf1VaM65fIJgXXno4qFX+uWcPaDRJapmik7V6PdiMGsQJwJRmiDJIle97a37XEHDun+B
jce3PVN0lSPhOZghP6yQvloHQbCuPAJW0zB1wAovW3SBVe0Ys/kJSitQmRIqohHr1u12NTSequOu
1QRxiBPOg1rAvcBz1F3jclhZ3HOvEST5gcslCNZVR3PXMnI2eguQlM7iBp2t0LQGJjaICgG5yMfQ
99DE5iLqYYZy3b/BRkPL5oinzih6NiuR6xl2dnb91yzlB9d9hNeLIFhXHmpUXihVRy02NKnYIhpw
ZJFENN2FMR1MXaNLK9czSH2CneQY6wYiVDacS8wT1xTeVA0SLTFIssXwWcpvhcvnsgln/IpjV0z2
SLPmXYnD+QNU7ASyENCyhREdDPeTm6mhmWqwnh0RH3gebacQRxGiKEKaZUiiZCWqCsvpyyYI1hWn
dbuB1Fbjd/tYxKCpaJRzRDxCE5cwUsGSfYwbC09b9JKm0oNZWiIGXmSRLCIOISLEcexKG5bdSqtj
7QOXQxCsK490xaKd6pBGkRvweXfnDUzVETo1xzQ58dXwXJ/uJbpKCNrpCrwQIaTLEaq2QULvREtz
Q/ovnMPLJgjWFSdG5FcolIuiV35BCfUEXG7jaNJCDyy4NYt6LWrbWYyoIlsZShoHziWJEzSqQVU2
iGwDFWmXMwxL6vUQBOuKo2rqF/RJFa0MqmoKJBaNnaPRlXNccHP1vK3TQtkAywDzVNFp4FloFiEt
vKnt6QkfMS//4ZRdMkGwrjhKNs5cTqkO0+YYlZ7D8hadVGiyCtxFYNaXlxoaNGGoPB4d8xmY8Adw
PjSIg/yv8jxHwfqIKOmuQoS1LsLf6xXHyg6PZ8cYTx7DCAXZY7CZQssb58wQo+/iALJDWRo4aWtc
hKVhKP2+7l9ho2m7FhH1EGYxeui5SdB0GsOScD0EwbrC0PLENi2EZUh7uesVdBGX6cC5RY7EiZaz
O16pt1pO07sMsYqQLo7BuFwabAdtFASngswI8y5BGqVQtnU7clRCQBGhi2wg1t46RBsZZd2ip3uY
zkvs3QA0U5Axh9INECZAXypBsK4w5BaQp1uQaQJmqGSBCkM1OnIQbX0bThSv9ymeVmPn1EkDWslV
QrIIgmYgwqBD4108XfGrgBW+v7Fta+f0WcgCc1RrPf4aNZSy0IaS7d6+ZwktFQOXSxCsK4/EvG4w
60Zoowls4kerU+4KNoZdc+vNTjZ0ItSQwU3TwOqF1TDZL2sJG2nMzRxd1yBJEmzxAbo4wrSd4qg+
QpqSW976oAiPXhioqp2OhTYwmNuscBaIaz2260gQrKs+ct6SAMSgQnbqH+TOXVS6NLsxcrkpuDZq
lG7yDLmb9pMtV2tPPvKRiLAV9zDHiHwQUMYzzGYzILOIhXRFmtTHt24kXSJxhMhEyKUXT5qS7ZKA
7lwHLpMgWFccam6elmOUqoRKW9cbyAXFBa46dN2Hh053aNsWaVLAcoYvvvwSP/9/f4H7Xz5AHKeo
7DH+4i/+Ar/zzvtgPYaqKWGtRixjl+PqXOPe+vBW0swVj0Zi4R1GJSHagssQYV02QbCuCKtRlUu2
L97AWnBhIG3qikEZownO9L0KTHgrv3UyEAPM0pmLBKtujsPDR/j8i0/wxadfuiiqNGP88Ic/xDvv
vI0ECURCi0WqI2tQNuXal4TU+IRWgdUVTerwuF1COrNBsC6bIFgbDl0Yz7PipaGetGRKEo3deBsx
JCqUaFGhwRhKz2ChIEWBdTKzM2htISWQ8ww/+tEP8Pbbbzp7m16vh5PyBNv5NgwUxvXYJedpScgZ
dzmtdUMbAs4Io6VIj0Z++V1WirhCyv3yCYJ1BVlGVyRYv/zVX6O2BjqSkP3U1WHJ1CImaxkwcnJf
K16s/E5gbWuXbN/q990uYduVriCzo3/K7xjGIkJnGifIeZSvfUlIUZ+S1BVAKfbF8NTTqUTeQz9w
eQTB2nAYq4GOATyFGxUYA3WlwBOLsptj8F6E3HRQqMBECSYoImCupKGiuiZ5Nm9wHZAIEc42kHI/
Lu5byKhzxVFu2SoW+SCqv6IdOXpbt1gRJUZI1QCvD99Agtjl2lvWIMkEOfj5OWuBSyMI1oajkaCx
Hej60LEBEwqP5p8g4hZxn4PpLTBbwxoqstS+xolRHGNccWbg1YgWXmNd17kXC8JVuxOL/sLA5REE
a8NRlEORibPo1VJjVh/iq9knkKbDVpIhYd+BpTIGQxJV+wRLRMsX6ZLw1LgbeDW6TqPqGrTSIHKb
AosGckUbG17QApdDEKwNxzUtM39LxaCSxxgUQzRsgrq0kLmBZsYNoGBUH+SiqnU3tPz2QIttq/jp
JochH7FFgMWCRfKlEwRrwxGqgqT6n4Xh3jDeQ+/WAI/KhxiVR2jyEcAVGG/dcpFcRSlfZBf/2MKJ
NPDNoBKRKEqRxz0kiXQ7hlQIK8myJ2wTXjpBsDYcqklye+lkukcLvFqDpzF0C5STDvFwflrhTotC
P3rKl436koh1/wZX3w+LasGor5HOJQWx1LZpqeYt5LAunSBYm47whZNUp2gY8GB8D11V47D8ylW2
J4Iywb6q3UdWfkAhXWiMcWchE/jmKCi3HKQq/ScjqvBKsA6CYG04lDKna6Wh1DrXGJsjVN0RVDbG
7s4AigaputiKdtmZay7mLALjCQRiaEzW/Stcacqqhp3PUSUVil7PvTaQk0SIXNdDEKwNh+InWoIU
grmqpN18FyOqx0q2yVoKRk79JBxmETML5uqZDKxpYOiOIc/ySvRZgnZao9+PnVgx8u/TNKsodoNp
A5dLEKwNR1O+hF7VF2Po6dXdVbm3CsooyESAcdq5IhfRZSEjdyVCYZT6qxPJGEk/RZIsCncTmqwt
IXwVbOCSCYK14Tz9Iq6UgaE3qrGipDqn5R+VNVA0RfMIF8MlKH/FaF5h4FUg654077kXAWd3Y7gv
HyF8e2HgEgmCteFQ8LTM79ZNi5ZyKspCJBKCcimKuYSwa3Hj3rGT7uDT74vGt8A3hjoIFFXtks2M
i2S9TvknJ5zYyyYI1objfOIW71ONdSRipCxzrudNW2Np0RS4GCiiradzmJ51y3LSf2UVJJMQlNAK
XCpBsDYcV85gAcGBJMkwHAyRdBIzNcZk1iArzpaElHin3ArFWHQb6t2/hfNvOFRnoRXzgrWobzPW
BMFaA0GwNhyqo/IFij7OyrPCOTV08wZcM9io8z2D1JJDu4SMOt18Yp5bDkPeyYFXymGJPPLDPPTZ
8Ak3cSgk3S+dIFgbDhnZna48SJcYQ8JTpHHm5uXZqHS7gRRd8dXBCJa7sfRmAyxarjKxTBH3F66n
yjd3nro1aPeErPX4rhtBsDYc4XPoLnXe6A5c0pLPoGMa86bCFjJUbQUZk/e4ROtKTA0SLqGNyxYH
XoG8KbGX33Sj05Yj02zXUL0DdEQdBUGwLpMgWBtO2zaIae4gRVuWLy4QicjEKGQP3bT2Xk2ZAMsB
ZbRbIWrhm6BPo4HAN+Lx40Ps3n3L1V4tl4B+HqF/4aDld+DyCIK14XC5zPTS1BYvV2Qz05N97Bc3
MDaPYY1105+pnJEuIiZoeUiduus++qvPeDSHubv4YDGinlxdKeKlSdXRwlE1cDmEs73hLK2DCTe/
k+YP0oAGnmO3twdtahd5cUn5K0BzMkemZItfRoYFy6uRJn0qJjl7DuhJcJMouFuCBy6XcMY3HO9p
5V/ZncvMosQBgiHOMuiJ9m4ClACm6iwymmPUAQ0oyrs4N4fAN+XG/l0X0bopOW6zliZWazeT0C0T
A5dKOOMbDmWt/Aw8BmdwedojSLt/BqWZo7GVq2qIyCp5UdpAuSu5LBwKfGOyjNpypBcs13VAPQR0
7oM18joIgrXpuH5mX+6+dL2aqyk6RVNyLEyioHiHKCabGR9ZObFCBM2orCEUC70Ko5MZhgfCzVX0
p9L4Fp3Q9LQWgmBdAcjjipqaqX60tg1OpkcYzY6gTIvk7sK6j6bquOp2Be3m5XWwyizsZgLflMPD
I7x+U/vdQG/jCs7FIulOMxdDlvAyCYK14Wja7BMtOM3N0RmSJkOsBoizI0T5BDXLINPIN0LDIiP/
E0YD1jswSc05KTYZqmRa+s87Y2dX1e+MdNx0GuvmBX09nR4jkhGo9pzGnPnhpn4pTLkmJQx28C6O
qvvg0QPclgf48PEcu/s30egvoQ1HP+qDHK5Up9CLem5yYtXNkUUphttvQZUtkiJyRaPWSufzTkeZ
hqvn0gmnfMNx6Su6UhaWMTIBeqIPy4doRA3lRnk5B6yV+/h+QvrMphdiN53f0aRl79nb4mNQeUZ1
7v257Dn5MIuIhzYmoihyzclUEWIwxkl3AtUx/M0v/jPe//738J39f4ESY1h+gljcOXXBJ4Gbszkk
ZxBufBfH1tYWsiw7/XlkMbM8Ttf+tFgeBi6HIFgbjsvzUsSwHHjgmqATtMhQqwSS+wvaZ6ooi+X3
Fa0VYDRpZ8Of4Th6ehdzOfGnhaEmY+r8PgejlZsuTZOiI0l1av6NCmjbtsWvPjhEIXdw6+Z7ONht
IUwPj6cSZdPg9t4uGsr1uQJQgSSNXREuYxEiFqNVDfr9/unP8psfnjCifj1s+J9zwBn4udwJ95PR
qVwBNaq6xnhSIdkhLTPu8zSkwg+hYOBuLBi9bXYvYdNNnCCvCgAtA60l4eqQydfPvX+LY+dW4WYx
us1U527v2pKUbrBb/AR7W++jnABF9Gf4/KPP8Y+/+nu88QZH8gcR0r5xwpbHCeifEcZFZyT8h4fH
wMHimKx1b77K3RNE6/IJgrXhPLGi43SBNqjUGLPZFOW8Q1oksMLCSgMjadQXA+MCgkTASkrBY5MR
kXLHTLVOtLfp/QojMFf8GqPUo3Pv3xPpIh5TLiKik0QRl4u6RIxPP/oY5s67yJIIu3scezffxM5w
H3X9K4xPPkVS3HZTs/15omGpCppL1JVyO4T2JkV5Pn5dFavAegiCteHQpWhNfBpBueiqO4axLbK4
B9FRWKXRsdZ5YlEdlmvgcbVYm+82mqBwCzJtOTotobWBtcoHlTDIUhKhr2fcaiRxghgZZJS5yMg1
h3favf3Lv/wePvn4AZLBaziuJ+Bo0NuR+Ohv/gF/8HbhRqLR3EGGDp1pTpd9FPXlWf80inoiArQ+
30WQMAYuj3C2Nxy6kLSVsNYPlmjtFPPmxIVe29u7QNMCtvEXqqUq947cx73JnHP+w0ZzeNJCdQJN
xdHULdpGo1MtjGkBphGn5+8SpmmHwYCj18tcAlx1Gkoxl4BXSuDjD/8zHj/cwjvf3UExjNApBVUx
nBwp1NMUx6MHuHmwhzTiUFYjjiToH2KJg4Pb7mf4sV5nguU6C55aHgYuhyBYGw+lhGmpQr5YBo2q
UDdTMJ663au2odor2rmiZLFPeJF4MavAXXn2Zj/F1TyCagW6JkZbC2jl/SUE1+73ZfXw3Psr9hlm
Y47paIqyrJ2lcZqm2BpsI89zqDnHj97/cygBqBbQXQaa2PW9t/4rHH35GT4f/1+IYo69/Z5b+pEI
+aIFoJcO3O1Z1HUmWiRiYYfw8tnsv+YANAbouhmKzI1UxU28hRt776KsG9i2w3HyMQQ3LgPETAzu
Gt6My3fREvJbr5NasLyotaoQy74rQJipyiW9U0HZKI1Oz2D5bXDWgGEGgwYJMjBs4eTY4qt7U6S9
P3MiUQwktnZIBBa20DSgxlDZwPm/hNLv+norpZAVvuSAyhpEnLhC2rtv+R1UV3zQ+TmPjQJuvHUH
wB000ZsYP/wSRTTD3k6KY3MEjj72+QHGDx4CBz94RpjCMnB9BMHacOhSoQuQoOSw5RKttRi3RxBJ
AyU6aG6gOY1Tp0S1TxD78qxXrxFqVPNEjRThapDon7WI5RAGLTo7R08KNKAi15gsBDEQe5iZ2u1i
+t47jqOpwujoBNOTBF1doNgSTyy5XJO3fflduOV9l6LiLKIFPSaVdrz499vfu4l7X3yM+18doxhu
IefbaMFQKXLBCJfHphGekQ2HIo1YesHSmoNFfmrLuHuAvFBouXKCoN3tqmkfWSRT8v3VEu9LoXJL
oBUBdNEWA5p5A5FYtF2DXjZAqUqkMsN0okDXO0vmzv5GMiq+jDF19VECaXYTtw5ed21ExDKSWhWZ
lx2sTMdGUc/q9/so7cUGO2VdYz5VsJ3GdGyxv71FLeSYnswxeTDFD2/9ZucrcLEEwdpwtGohYj8m
na4/kgwSqAZTxBFt5ienQkUtJStZllfVKkfkKr49yyXh6tJwu6A/oj6mc4Uq2cX0KMLOzdto5WMw
TrEK7fIJUDde3Ro0TQIpBkiLO+gNOObzM5E6i6zOxOqFURI1WVKh7MJKelWsfGL8fMEa7hbQ9Ts4
OWrxy7/9HLfeyvHW669jqz/Ezt0b3+CMBS6SIFgbzpPb6f6WeuYoZ0NvrlfngiGBorFWy3qkZcRF
eawOD/HF0SH+9hcltnt7mIwZqrdn0PgKN24y3EgHTqwmrcbRcY22jhCnfUgZYTwDIu7FafHQp7/n
UrReJFirkZl/+82q0cmy58bNu+ilDF8dNm6zgiLTiAvc2X/rG5+zwMUQBGvDkS5/RQ6XfmKO67Br
gcgUYHUMmQlYGkvvloTeuWGZu1p287wKy+S6m94j/M9f/aeQYTIxiOPXcffuj9HsUUB1BKOP0RtE
+PK4hNLGLRGnU4Y0k+j1CiQRUNXnC9LL5KCosmCZpPdCt+xFfFYIn8fRaIaCF9jbvYNiy6C/Pwbs
CA/vP8DdN979TU9X4IIJgnUFaFVHZUHOysQomvycYje7C8lblOrEJd3dSC/RruRxjBOyV8V3JnpD
QBdpkQEzVYOTs6kx+OJTjq7dxs1bb6M3BHINTKcFmvImHt7v8OCxQtdZqJaWghnSeAeq5uDauLIL
85TN8MvmrU5/S/Pk/Z6+fRHUKSBbhtnU4uHxY+zJKfKkRN3Q5kFg0wiCteHQ9Ui9brGkOiwOYQ0y
wXGjfxuQCm01AyPDLCdQEhALmz+KyFxi59Uuu45Giy124mi5Rc3BVVW5N3r/5PB93H3tdWzv3MBk
3kApjTiOsCXfxnQywVtv/RDlvCazeaRJ7GyG2xYwiirUJcrOO6Su5q1+kwhLdf5+tEl42ne5ImQv
MrWvqjnydBuqYTg6HKF/Q2N/mKO0NWb1DNvpmVNDYP0EwdpwrK7Ry/tOuTS9cQvNSkzYY4ymxyij
Y/Qyam8xmDRTmLpEv0iQUyUUq8kVC1r1MB0B02qEgzsZEi5wPG2x3X8bkoxWOqqc19iSfRdJTboZ
YDgGyTbK5kMISR5RfVSzBCdjg1k5hDYCnMV4+zs/dMdZzkgaE8RU/L2wtept7aGpqAg0dbrZGVcK
tai+F6jJIHWlzuplBOppVutin7j7S0ZYvWQb9RSIzRTDbTp3NRL0EaOHHt//zQ8ocKEEwdpwxPKK
ZD5fQ3ksutid3xOTKPLYDSAezyxOjiXKOsORkOBU6tAxTKsWuq1Q5Hso6xLjyTHefKuPfo8ihyM8
OJ7jYGfPlYc+mt+HUR32tvZce8qoeYT9/Af41Ycf48GDe9jaeg07e28jThIoTZN6Ntsc8GWomhL9
JEUhOd7dexPp4D5aW+Pg9i3IML9j4wiCtfFwvxtoyFd86e1u0dYaqjFQsxqzucZkmkG1ryGRW0hk
gYgmQRcGg22Gas6x3e/h4aN7eHT41yj3JbZzoLGP8M7O72BsT1z0VcQp8mLHRVkNOkgW4aPPBcbj
fQh5gLx4E0l8E63yE2TI166pcaXp9QXUdIpP732C3YMavC+AjuGm88GikoyL34UNvDxBsDaexY7f
Yq+f4qu2bmEUtePESKPbMILDxDvI05u0kkNHSzIaRhEDTbPwgm+Bus6hu32Ukw7TXo0s5/jn+7/A
wcEB9vNdVKAm6hSt4vjgo0P83S//Ca+9dgs3b3wfO3tDV9dVNUDrZiMCs/rqz46RPIJMLKK4cPbH
GdubLeloAAAgAElEQVRDaR7h3r0j9PYPnFliYHMIgrXhmMUw1YVNuUvUpFEMy7eQo4d7j0YoW5qQ
U4BH/vsrSmp3c8QMiNMYURqBdZRT6mFn58cQ4iEePfgQr72+g3duMYy6GU5cP16Kjz/+Eh9+8Bjb
/Tfwp3/436PhPWRp6vJnJFaaoitSKbK66QyiK24RPJ9ooDH46qspfvm//T/Yv5VD6DmymcL3/83v
rfvwAk8RBGvDcdXtTyWQaTgq9cuVTY3PPq+pzRhRnrpyB5ZIREkLLjjihCKrubMO7qg8IWJI4j4e
Px7hky/mOBo14OYzvP/9H6FX7OHTz0+g9R5+//d+iiy9hfnMYOuAYzbT0M4FIXKP2VCIRRVYWUzO
NlcaMgvc349w99bv4/V3vos7rxVQ0xpf/M1fI47CDuGmEQRrw3Hb8zRMgeqelIKkgizGXA7r6PEJ
tnZuoTVk4GfRmQm4SXyiXsdo5wxJRLmtGXpFDBOTBzxwO72LuJcjzkq0xzv42/9vglZNsT28hd29
OxBii3ztsHWDYzolbyogjmn56Y+n0WTJbMHJyO5lt+M2lK5r8fCQTA8pVygxL8lKOcV3vvPewm75
akeQv20Ewdpwlh5xVKtExZo0IJUSVE1V49GDx4j39qC6Odp2BlUDKR8gj/bcJGjK1dP9JxOGOGao
qwrjscCN/Rh7N3YwLSP089/FfHYfnHcY7tzBYHuIeW1QNh0iFrkhEYn0tVMnJ8bVg231I1hEmE8r
yPhqRyHD7djNfSSH5EQAh0cKFWvxk9duAiwk3TeNIFhX5AmynCEpcvc+VZjHaYL33nsHvz45wmwy
wrxjGM00vvuDt13uqqoNIkEumkC/X0A3vm9vb0hFm1Q9T/tffSAHbr3pjeqIau4nR+cUii2KLzsy
/wRQ5D7aqBfLwKsuVgS9HkwaoOoaV782zIGjzz+FPngPViRXPH787SMI1hVgtaGXoMpz8siiqOv2
/g7GJxMMtndw66CHNKZIaO52t/ZvcDw8WdthXwlmMwMRcRRx4nY+5/M5ZuOJi2CRFL95r1DgQgmC
dQV4nuvAcjJMPp3hx++9i6SI8Y+fnWA+GWFnuA0ugA8+OcKAfN8DXwsts9OE+xFpboODObGnFwS3
BA9DJjaKIFhXnGGvh6puMD6Zo5scYbCzj+nsBCPKHpNqBc6lSCO3bK4q7XZTt7YG6Js72OolsDTg
I1whG0V4Oq4YTw9EULMZsl4PTdvik1//Cq9/731s3biNeVOjoqKpwLkIKrRVNJxCIeYcMXUTpL7l
KAyZ2DyCYF0xlhOIlyZ6sshhug6R5PiLn/05iu0B/v0vfoWP7x/iD//0T1GX6z7izaZpaBQaQxpT
bRvDbNaiefQY5mCAOIzx2jiCYG04S3Fa8vRgT/JEF3GEPI5c2dDxtEY/L/D6nRTHj06Qk0lV4OtZ
TOahPs1IAO28xWg0Qlk2SHuhLWfTCIK14Sxn5S15ZhKxYDgaT7C9NcC9e/fw8Rf3YdM+3njjPcwV
Ge4FziNJuOuNpEHOVJNLyXZJU3d8l/lL29QELocgWBsOX4iV7VpYq8Ejmg4TYTnQS84Ucpbg3r3H
GM0bFDcPIIe7mEcGU9uh0Fe/VuoiaRNfZ9a2CkJztNUYf/QnP0YuqAVpgiQ+q1ELrJ8gWBuO0RaC
XBpkDLZoFRmXDQ5HE0zKCkrEmJZzaMORFFvgUYb5FK61ZpBnLnIIfD1VpcCZRBRJF2HRzEe3VyGo
SyDssm4aQbA2HEEDQQ1NNPazBsk6ZtoozDWHlhlGvRSPywpl1WKLWwzjDBGVtNPciio8wy+CrJqp
P5NMJ0jcyfqZikf3kswtDQObRRCsKwDlq6j5mUmBslUoG+Vaa7RM0M5m2OlvYZBzNB1DpwzyPocw
wJxsi8MzfC5UJEpi5TwS2xpNWaFrqOE7edYmI7B2wp/zVYBKGASZGPvaIErEl2WJUhvY8UMMD+4g
272JueKYdxp1t2iazoLbwItwMRSdJu03N7IsQ57niEjprQpJ9w0jCNZVYKVYNI847hwM0duiAREt
Bns5Diclxg8fwvZ2kGQZGq3QaYWYhv9dcb+qi6ZrOzAuIRhHkXKIwZarcneQa2G4QjaK8HRsOG5n
fTEC2Y2tlzEyDsiCgWmLdEhz/hRG4wZMdMjSDJJ2EpUAo3WjjyECX4MrwF3ULtDrAvUPUi7LdTV9
kzE+gQslCNaG417kneZYl4BXXYWqVvjoiy/wwUefoO4NcOPOm9h+401Q0TbZI8cGSGlCtIqgg16d
S5pKGE1lDQZVqdwsxek0x/YwgaCi3Ut6ngMvRxCsDa9spydINYCIyUrAQHCOdlZBGI7X917DP/Ft
dHzHbcWTaV9ivA8WecCTAwFVb1O7SZL4mVXGWCTJ2eOrqnaOBMYyt4y0lkHGsb8/5XZeUHlK5RM0
p+H4cYNBP3HvT05aZHnsdyol+WdZcKokp+87KbG3n+N41CKOJWKamrFGGg2UnUYcCSQaSO0cw8RP
tUbcCxfIhhEEa8NYTlg+/ZjaRmISrRqNapHmGbaHNxD3b+D+owmyw2bhjXX2GHR3ut6WNVgkSJSE
97v0zO2Izee1uyhv7ufoOu8dH8cCNCyavq477Y5FUHfwOdD3kijKiJ9O5+lgIC3QNi10bd3PbxoD
JiO3aUCFmgIM0pVqrBc6b5ImatP5gXAJ9zRNvYiv++ACzxAEa1PLGIzxb1wgJtFKyI9doOskagE8
qoBHhqHX6zm/dcJPAlv0GGoSE+WWOkURn9YZkcA0TYOiSHHzBvDR59p9zJhFvygQkQOztW7HjB6W
xOw8dFejAY3KEhAkrArIBylorN9sFrtj6vfIplm4x+7nKTQJFqkBFZWtuXRg+dpAI8ys1ujlORJ5
1YeX/fYSBGtDoUjECRdbhEm0dLIxHj48wcejGap8gOJgiGzqIye68JbLyUWO3kGTbSjaOj6euuhh
e1tAiMRFWP/0zy22bw6Q69xt37t4x1VC+D46yp+9iDSjPyG6M3fOB7N5BS4FlEkwndeIuIbgBSaT
qRtPlsYJrDbIYoq2/Pj6tUKlIdqisxx6Pkc/9lEfySjltsKexWYRBGtDcDmTpzyYSHzqpoTlNAgi
dc+Wjgu0QqHmMbj1gxP8/Zf38W/0MMvWkpymPDeZe7zZjCItg729FFqneHzic0m09KOqb1IqalOh
lSAtD18E5byspRomf9xZGiNOfeX4ziCFG1bNgH6Rucen3TemfVTlojexAS8MFMkqjXIyBdtd+LhT
8Lf+FWvgKYJgbWiyfUk/6cHQ6HgDPBg1ONEGvRs3nZicHCkc5HIRXZ0tB5fRFfk71XWHLIuQJNQ0
Tcu02n1fFCV4/LjCLo3/orCKHoOSUW6kGOWiFLpOoci8md3X0WmK6DikIeMIi35PwnTA4cMj5EWG
pm1QljVee+MWmlo6d09KwFNkpaxGvGbFIp2lSUC0Oq3rGgKpiwAZ5bXCFuHGEQRrA1g15FtC+aeu
83VV07LGRw+P8NnhCCrqYXjjLrJCuGpst2xZiax8LdFZlBXHEUYjhel0ilu3htjfp8gK+OCDQ/zV
X/0V3jvoYVZWGO7s4cf/4qd47/u/g6QokGQSg22JevZiexbKnduOvKQa8Jbjw1//I/7v//DvMej3
XasQDXz9b/+7fwMex26mYT7oueVnFJMBFdaK83HntHHAYTp12klAu7GBzSMI1oZGV23bukbcf/c/
/TvoLEV6+y52334X8dYQLY2lmgGUarfyWcGiC87nsih5b1EUEnE8dF+nkeyUqH/77T389Kc/BQ5/
jdHRA5QzgTwW2BoUKDtgOm+RZjFNQTyXsgKoYoKWp65aPEug6znuf/4p6q0BeJyjqlvs7WzDRsCj
49IliMrGwjKGAuvFdNpFlnRulstyKh51y2na9gy6tVEEwVo3qgXnFHn48gDust4GRiS4P6/w1l/+
1/j0089xOJkBj6a4KQcQTLj6JyoKpdorYrksJJb5JB89MDcElahrYDDou/enU+Bf/+v/5pnDIbEi
+pnfeXwRGa3oFlGeSBJMW+Dd3/sT/A+/9ydPfN+IWoQaErfcjbfPlwZ5a0brBjEl+ehw4gQmiiFi
anymZXJYE24aQbDWDSW6E6qVWuxK6Q48imAZR600amMRZyl24gyDwcC98iuzjAb4uqsCrjx0Pl29
GhXZRr5ObEkYSbh5BMFaNyuCQ6sQxiP3ucPRCL/++FOYpICME+S9AnGSnUZRUvpCzVDd+GpQgWjV
WXDBXNkHfRzSV5tLEKx1EyXo6IKh+fIOZ3yM4/EM01ojTQXyNEOW98EoMWysq353pVIbsKS66lCe
j3JW5NhAESxFWQ637bruows8TRCsdcMAZTRYR2vCDqm0OJ5PMalbvPHd9xGl1J+XuBIFqiKn5SAl
uEmruk4jCq6Y38qmB0VVVP1vqCYDYrER8m08wYFvkyBYa4bqqaLUPw3S7ckpjKcTfPngMe7+8G3X
HkMv9h211ehlSMVcKwntygW+rZISX+A/m81g+kOw4NSwkQTBWjNNpxCJ2EVM0+kY/X4OGac4nk6x
09KYLoqs9KK/j7vc1XJ3LYpoObPu3+C3I/FOLwptZ1EeH6MeZkgicnld95EFniYI1ppJ0thVBXz6
2T3c//wj/PEf/QEG21voD7bR22KuUZhZ4Sqy00WlQdd4m5iwZvl28PVqvil8PpmgafaQROdX+AfW
QxCsNUMZk7Jt8MG9zzC8/Qb+7X/6Z5RW4tb776OqNRIrEFEuhZaFK3bHVF/1Mr1+gfMhSxlFfu4R
RzpIMRUJWh1DSrJJJsfWcIlsEuHZWDMUNEVxgrfuvI7B7gHmJWBnDVIjkSQCzQvsXQKvhmvAZnSr
oAS1MsWnTeM0qYiLcIlsEuHZWDdVC8M4MkbuCwKZzJwDQ2QZeBCrC4ecK2TKUakOhnl/sXSx9qbi
3JDH2iyCYK2bJMLR0QhfnYwgFUcnIuRbKUQSoSYLgWAZcOH5K9qJbQx3y2wvWP5rYfLz5hEEa80o
zjDVHWoh0GmDqOi7sfSGPKwWDc6Bi2NpeOgNE32ZgyvIdc3koRBr0wiCtWambYnKGPT29zCjacNJ
6rbXyUJYU5lVSKxfKCRQXed99Gl5OJlMMB8UiAsOi1A8umkEwVoz1WgKNa+QbA0w7xYun8qCtQyS
XO5CJfuFQlEUtUYx4UXr5OQEk0GBYbF9sT848I0IgrVmaLSUKRtY2UA1DHmcQQqOlAOV9WYzgYuD
KtydYV8swLRGWZauHsstCUMz4cYRBOsSIOdQuWiq9X7hGl1dYTIe4f/8aIzbBzeRRhZyeoTp4yP0
b9xByVM8Nh32QhbrQlHGYKsnQEOy69qA97cR7e6gUgoZbXiENNZGEQTrgqFlBlmWLP/ul26WUZYj
URp3b3J89eBzzKsO2zdvYHv/DpSI3DJli0z0QuvNhUPtTd5WmrlG86Vb60Y4DAaeIAjWBeOWG4s8
lLMxOd154ij6W3hPZmib0s2XT3fuQKcxxpMODBp7OynK6UUf4fVm2ZajtX9hobIG2jF0PZs6FMJt
GkGwLhhOjbX0jmteJrHibjCDpsnHkqGfSbz55utIKoEpFz7xLiNEEGjL0Bpy0dBzYhaRMA3FiHo9
74kfzNw3kiBYFwxdDGQFozsaKS9dTuTR0TFG0xI7+weIZItJbTEtBcbIEBUMW1u0fcgxH0+R5PRB
4KJYThnygztoZL1wE4bsYOiHPQbHho0iCNYFQ9GVdwc9y4fM53Pcf3SMuYkgsgTzzqBBiizzPlfV
2FnIIS+2cGqBFbgQyPXCUiP5omCUxqsdHR2h2Ssgwx7txhEE64IhFxhaCUZ0UXQtWJwiL3oQSYW6
02jyHnjKUUQStJFYVQbTeYU4TiC3JHR10Ud4vaEcFqUYhfGjvijPOBqNoNRtIAmXx6YRnpELpiwb
bBUJmJRoyzniOMXe3i5OaotSC7SF3wmkSctt1SBPU/T2ClQKOB4ZFElwFb1IaFoRzXak6dokXLQp
S3VYbnMkTKPYOIJgXTDbGbV4dGiYBSsyWHA3f3D/YA/3pzMYqmZ3zwSHlhnG9H7rPxdl3i9rubH4
vFtnj7IySJVYrj7pVlpzuhz10YTvmVt+3VII+BSry9fljMMnH/fl16nkgLCYT/rEsFdnSbyYGL1O
NLOYzlr0BwlGM4PttEBvuA8bxTBMh9T7hhEE64KxNDkipjos2nfytdOj0RyffPUAHz18iLvf/+Nz
7+8GENsn3yhBvBSNhNTP/aCzsqFVwaIcGCWTl+UUXefvu6w1IocCYrXPd/k5YlXPzh737OsvCkJW
j8U9Hs0ndX17XkCdOeGaoXIGJ+5UygAaRlFASloihj6DTSMI1gXDaCiqG46s0SnlciRJFOHm/g2w
olgGU+dANVm+4NqJjq+MWBlRtRjrvBr5rNyyKDuLZkjwNHf9ijS/gsSQ9NQ91vJ4nyruXurValD1
m+wD0CYC6d+T8zIoyb05Y8riWLjzQDlEGmbrBtZugJAGniUI1kXTGZiIu/HysRQQQsLoDqqtUZdz
YHj+3Y310dHZ28rSip7AyA9QWH1bvdboQlxu3S+jqGU/tYvWFt93ep+VSO2JCOp5KkZC/CLR0dpF
K0uWqSEfKa7fjcKN+BIMXevzWbo1znXU1bmHUV8bRxCsi4Z7QVldc2VxhGG/DxPH+PIFr+RWn13s
Sw/31chk9eJf/fzyx0VUsK2Ni+yogttV3TO/nU+fixY7YavB2fMe54n3Vz6nXyQ4FGEtbqma3N1d
+ghLK+oCWO+mAi2vYfjZcltrtKZFZxJIOugQaW0UQbAuGi7ccqgzDfhyLcc5hoMUOVJ89qA+9+4M
6WlEReK0GmERbszXYtm1FJrV7+nRzpemidH8ifu5ZDgTbtz90rCOIA+o50VTbjm68vinv94L9Ian
wi+1SBcaqnWiydXC/winduvfBVWKBqn6kWkkWCfTEzQ7MYps/ccWeJIgWBcMXajKGkQigaD1j/Ee
WPdGI4y6Bv3h3fPvTzkq9+r//N08ySk68EJwNhTUR1KU4p+N5m78OiWWCYqqlg3ZSSQxrX2h12kS
/rTx92yM+5LVz58ew3IL8OuOn0WuZMD167V+S5BL4SND7s7IWqFz1TUdil6MdpEOdIWjd7fBsnzN
Rxd4miBYF4yLisChrEJEoZbyS7NBr4AUfZjk/Pl3dVM50SCLGqoPquva3dLH9Pmqqk7FilgVLLqd
VNY19NLOF9G2rfse+pjemqZa2TE8ux+90ZFTvm0pUH5luxKmkQAus/Zfw3ROtWexOz46bnp851YR
Sb8cW/OUB/o96ThIz8kGiwSbpj+vCnVgcwiCddFw78seL091zJHEEW7CC8iL6BK6sLlb1ilFu1mx
ax+hC4ouNBKw8/ATowWkpGUPLQvTUzcCIVrY4qzkwd+Qo8RZ3MPy821WnOicwyif4O7WLRzdH+N/
//tf4t2f/QxflRVyK9GDwMqoxbXQGCCNJKpJgyxN0LIE0fAWkh7thgS3hk0jCNaGQ8s5YhlBrS7/
iOVS75vyoiXfi3hRESkVhpJ54c3XbqD+uXf07GUFdOl7+NaNCxhJyBcfU2CZ53kYqr2hBMG6InwT
Mfm6iGgZFfnK91dbkr3oePpJAaoXr1ugv7OHulKg1WlNSf8NqcNyS2CXr/P1Yv1+3+2sBjaPIFgb
ztNLrlWBeBnx8rYpT95nKVLevM6c+3gviqBedAyMCdef9z/+z/8LfvLn/woTGg2/SG53WL/v1LJz
QFBrlPK7rZTbo9wg0iiUNWwYQbA2HJ/8fpLV5eGLBON593+Zry9/xovu/yJor/L+yRT3xmP80XYf
8RzgVDOmNECN3efn7C8FV48mffKdOgEov0fTc14f7CJMqt8sgmBtOKu7f0tW339R0pu+dzXntRSg
5ee+bkn4rQ0RtcAX9x/gv/jLf4VRbZ2AkU7VRoHLBHbNgkWno1EKLI0WZRyAFcDh4SH03e0gWBtG
EKwN5+kl2dNC8jIR0PPE5+sEafXnvUwE96KvHz44wsl0hrs/eRcPjn21PiXiaTOh0wpyzX+CzlLG
ee17u2TVUQeAn08Y2DyCYG045wnSy9i8LIs/l+KzGlFRdPb043/b49nvf/kVlDb47MsTbN8YonkM
UP1ovsXxqC7RZz2sE++G4Sc8u1PTeQGjHFYYVb95BMG6wrzsBfV1y74XRWe/aXkD1YfRz1om+un9
fzwcYeeN7wLJEPNjCyoejyKGeUslaj30EjjnVaUbxGmOroGbEUj1tHVTI4tT3zJjKQrSbonGuHYu
FfTz4m4XkmpvY9dn7rp9yCGC0eiulurIgKYF4tRiMi7x+t0CX34J7O0Djw/nSGg60a0BRsfAdh9I
qgm2c4bX33wTbVTAF5UENoUgWIFXZjUftqySJ9GiYQ4PDh8jOXgDW7H30aLK+FZRxCeRSYGTcYvO
NotWHXocBkb92QKQSYqS1eBUa2CpIdHvMNJOnkTmcmFtUqKj6c2dRasadxxxFCFLUkQJQ3P4ANKU
SDQHG53g/qSPX//jh2DffxODfoRP//4TTPJtNK3GmHeYHN/DdHuAghfIzPthCMWGEQQr8O1Mtpby
iYiNBOuLL75AXGQQaex7nDX525NxOiXf/aeSrRiMxU6wOu0dVCnPNS8X9jNR6mqjXL09tWJSrRRF
jYnzRYQy+aklTsKKhT870E4qtNUEP9g9gjYzpJnArp2imo9wxD/ErYjhzt4eimmHuvoS8Y5Er+Dg
d1Ns5TkSswfu6vCT8BeyQQTBCnw7nlILsaJ+QZqeTMs1Gubw5jvfQb615YwKaakXC440Tpz/FC3Z
jso50ihHkjBUlUUkFbJEoqk6REmMTj52QmdbQJUKXWnQ1AZzTd4XHA+rD3Bw603sbN/BdFLjy3v3
0MwfYLtvsLMV4/Xv0XqRFK3CwYCcXwvs52/g4HaBKCqx884ejo4OsbufI3HuDNQy1QN0HzDKK2Ng
YwiCFXhlVnNdJFQkWLQLSE3XpZSn05WX30sOD85okDFkRYos8qUOzbRGJGcYxBKT+Qw524Ye7ULw
FlE8R76n0MtmSJMpBJtQazgkbuNh+SG+uPdz9GyEP/vJPm4Pt6BxhMnoY8DeBZiCBTWRW0iR4u7d
HTAh0XYPkRSvYdsmSDISthlaO/VN2naAPKMu0MAmEQQr8Eq4KvGVpP6yt5E+99prr+HvfvEPGIoe
kt0UjKbTGIOqqWERIU45VNei1hlUBzz4/NfY7h8iqhVO7j2GSm4gjR+5OWlJliCPc/dYMYsXkRDZ
vxzhjTzCrff2UJYtjD4CmhGyRCDb3kVVa2RpBI0aLRkZmhkY/WzBYTkdK4PMUxh0NB4EYBmidIDZ
VLum9XCBbBbh+Qi8MkvBcuPeF83axHA4dIkp2ypoyk2JhSMyI48w6+c1RhFSDiQC2CkE3rmT4Hs3
ckz2FAa9W7D6tps6xFgDhgaWzWH0QxhTwpgOMfsRIBlizhBlahHtMdhGQdUN4j79iXMISCd4xsbe
9JAKWEWBDlOXI5tOS2z1txE7merhy9EROH+EneJO+AvZIIJgBV6J1cp5Wg5ShLVqEnjn5gFYmmFG
tQVCujyRSBOo1rrZiwxklSOdoLXzE3BNBZsSOaPbPpg4dhGRN+kRYJaWbn1IEQFRDKgjgFOOqoNm
FCUJcGRgtCwl+2dDTqk16rpElhXgLAUDNTPSjmIHwxQSDNHPSHQTdNUJeMRQz04wfC1cHptGeEYC
3wpuZNciulpdIv70B3fwb//X/4D87vcweP1tN0B2qxDIYo1Il3ikcwwSoLC0yEvx2t47VB+PJqug
MEdssxUbZbJe9XVY3g9GQck5JPqouw73vxpDKzIinLilZ7/fw80bO+7PPMtuLh6jAZMkcDTGq4cE
MQweujYh2BhRQuJ6iMFWgvkkR28Q/kA2iSBYgQslTXK89/Zb+Pk/fYC0v40bN3ZwdFxjMEhRdRwy
s1BgeDy6BxY9RqdKZJGG0AlSvg2w2eKRTmebrYz2sZC44X9OtI2//cV/RJb28Hd/93f47ne/i14/
x42fDc7mMJ4WU1Auq1tEhBzaKpfTcruC3CKKGdIsRl6c7wYbuHyCYAUuFLKP+d3vfR+HR2NMPvs1
MvZdbPWHoFXe8TjCdq9B205xfPJLvL1bQ7ogjUG6+ieKrmg38GlIdHzXtGoYmlqjKFI0pUWRJq7A
dNDbQkGTtmnZt9ii9D73JFoCgkz7ogic0ee8HbSrn3AtOtxV1HO31AxsEkGwAhcKlRIknOG//OOf
4j/+p7/B/Pgr7O8OcX8O9HYE0Ah01RFUM8Ld124glyQuCpK83ikXdjrRdCkelB8jsfLDN2SSQyYk
bh1+9i//0H3H7/zgDfT6qZuHyJkEF3Rf5XYCjVXucwyxu8XpPO6zGWYSAjFVpVKPT2CjCIIVuFAE
Z6hmM2R5jj/5g9/Hrz76HF99/hFKmeHWd26jmQL1TCIXKXazPoD5oiSeupKr06XgqqhQT6EbR0bV
VfUnkDJFUyvs3d5DU1dI0h1YM3fiRB74fpBrBI4WGu2iMp/EjHzyFSz38xtdgt7l3yI3OGPtU14D
zxAEK3ChUDSUZeR71YHFCbZ7KX79xT9geOsAJx8fYSf/IepqhP2tjGb0+N4bLQGaaM0aWOMLT71W
kaq4eddgbliGRZZSPRZH1Nv2oz4SanauwYVAXXeYHDUoepFLonORQjAJEVFdg89ncZaAcYrQKKKi
z9EPMpjP59CiRpbRsjSwKQTBClwos9kY/cEQrQZocy/OYtwaJhDmERI1B0/3YNUHeOM7sZuhY1ra
BkxdEWdpS0Qd9Sj6EWQ0Ut4L1nIAq4HFDiZViSLrYzJuMB4pHB2OkaaZa75+69a70K1GNVfICpoq
5joR/ZKS3B0U5bPIvC9yU7aZsFCsw3ymUJsJsoym5wQ2hSBYgQulP/B+VzKJoAww3B7i9s1tfE+w
We4AAAPMSURBVPzBz/Fnf/oT/B8f/j2s/RAHw/ddHopHFO34EWhV3cF2kRtdKISBMCRa9BVq7SFn
B41pHWM+M1BNiuHW28gThrfe6AFWuinOnNeAmqJpD9HUY8iIir8MulajbTu3lIzTGfq9DFbRvEQO
yVJEkQXXwVxm0wiCFbhQOptAMjf72WWRmrLDoNjD+7/7Izwa3ccff2cO/u47i927FKCCUDToVIuU
S8TJ6+i6GmU99cl4coVgGayJXXQk5S3sDEhoaMcvQrqsRKBVJJUqMLJ1SCDlEJPJBLOTmYvWqAp/
e5ijVVMoXWHWTNHpEmZswGwPgmfgIgxT3TSCYAUuFDdWjBuX4Kai+CyL3DJLUaU5qD1nzxeAtjMn
HmR2ReITyQKR7OPwEZny0UgwaqhOEckUcTRwokWFnppkcDGx+ml8/ZVP2lMZw3B7F73C12X5nkeO
WA4XPyuDNt5PiyrrBc/dTmJgswiCFbjYPzBBJjCUedKnI73IqUFrBhqcQ1NqolhAxj3I2E9admYw
rUJba/TzO05IjKUx9wxxnEI4i1Ey9HPdPl+L7yt8sjRhtdeRdgsjkTg/LiqjENzXdlGk5rYOQ1XD
xhEEK3ApuBFa1o+k0cqi6Qza1iDudTCcGptLGCo50ByqyaHVNkxXIBmmLgnvYIsyg5cUk9NGaEuD
JfQznvZCRM5S2X2vm0JN7Tr0/b6I4rQ0K7AxBMEKXDjaaCdY0u32kVAkENEOkhiIks/85Ac3bpVD
ihwi2YeIbkPkQ2fO7odt0LgdP1be7RAuN/tW+LopP/Q5WgIurZyX3+Mat2lIoj/K5aMsdiHFYnn4
apOxA98uQbACF8pysA+VEyziFqcJQmTg6KNqSjd1mQnKSUUwugC3JFQ9uhMMqtMaLBf9gATHV7r7
x2fnilbXaVck6kq5Fp9fHpP/sHvy/vTPfYNfHjLXHhTYFIJgBS4UEgXq13Pv0/KMgpdFfSgtD4X+
DqqqQTmvMZtToSjVS9XY3emQ5+mifYaUZRFZLQTHiw5N51n+nOev3/wSbylOWLm/Vy1aIpLorU7T
Pn285RI0sDEEwQpcKO76PxULEhi/nBNuXlcOrt9FXABbVK61yJFra8BdNXrjvLIYozaas8d0mall
5fs5eSa3G0ilDYsBFkvhco91qmBUNb/y4erjhRzWxhEEK3Cxf2CnLTVLe5jV3FNEjsTPIFa+/2tG
Kr4Uq1HXaXfPc7/xm/+MwOUSBCsQCFwZgmAFAoErQxCsQCBwZQiCFQgErgxBsAKBwJUhCFYgELgy
BMEKBAK4Kvz/4Fjmy5Ue/5YAAAAASUVORK5CYII=</Data>
</Thumbnail>
</Binary>
</metadata>
