<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20260322</CreaDate>
<CreaTime>19040200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Siniestros_Cesar_Dashboard</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>siniestros</keyword>
<keyword>ANSV</keyword>
<keyword>IDTRACESAR</keyword>
<keyword>seguridad vial</keyword>
<keyword>cesar</keyword>
<keyword>colombia</keyword>
<keyword>observatorio</keyword>
<keyword>dashboard</keyword>
</searchKeys>
<idPurp>Análisis de siniestralidad vial en el departamento del Cesar Histórico desde 2017. Incluye variables de gravedad, víctimas, vehículos y localización espacial.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJzt3Qd0XdWd7/HvOef2pitd6apazZYtS26ysXHBDWxjMIRQEkoG
QhKGCRNSIXmZPDKZySS8mUwKCSEhYZJQkgEmoXewcQX3XiUXyZZkq7erK912znnr3pnwwgNjO8io
/T9aLBZevsdbC62f995n7//fYpqmiRhUx44e5bFvfINxL7zAxHic/VYrR264gTt/9COysrIGe3hi
gPWHw/zqbz/DFbWbKFgxD3vJWBTNQrz9JH12L5H5t5BWNAGHwzHYQx1yLIM9gNEuEomw47nnmPzG
G5TE4xwGpsbjeJ97jucmTuQz3/gGmqYN9jDFAHK4XCz90td47Y7bueBP6yi6LEKgtBAwiZ06zlOf
+RhtxRdy1VfuZtKMGfL//y9IYA2yvr4+zNpa0kMhHgd+CXwTWBaJ0HL8OOFwGJ/PN9jDFANIURTG
VVXR/dOfs+XF56nva2DKwYOUlBbic9n59MUz2PTCBjb80knOvf9Kdm7uYA95yJDAGmQWiwXF5yNm
s1Eei3E5MA4IW61o6elYrdbBHqI4D+x2O3MXLODCefPYsOZNqv/35xiT6cWeW4zFp1M1vZl9+7bR
cfKkBNZfkMAaZG63m+CcOewcN45phw7xFcNAVRTWFxczc/Fi2ccY4ZLLPVOz0tGSILrvKKrTDaaB
LdOOPd2Oog72CIcWCawh8AM7feFClB/8gC1PPknXwYPYi4uZd8stzJo/P7V8ECNbRUUFu6bMpOnV
l8n123GOL0fLCjJ7bj65wcBgD29IkcAaAjxeL/Muu4xZS5Zg6jqoKjabDVWVv15Hg+Sb4BX/+m/8
+y0n+VokQVlaJjaHm4m93Wh6OLUZD/IXV5IE1hCRDKfkvoYYfZKz6LLycn66eg09z/8Ms68FMxHH
DLXTXX8Ed1YJDqdrsIc5JEhgCTFEOF0uwiVV9Lz6c3w5hSSPSG7+yT/RMucwN975RfkLTQJLiKHD
ME3WbNjGnJ4ovlwFi8vH1EiIB/7ln9k97yJmzZ7NaCeBJcQQYRoGO198hdn+TvSCHCy+DAKzZnDJ
7hfYsm6dBJYElhBDiKJg9/qItNahWh1onnTUEheRLBsOp3OwRzckSGAJMYRevEy66mrW3L+T607W
4XW50SN9tBSXcMmKFYM9vCFBAkuIIfS2cOn1N/KWzeDk8bcoDXWhqxrXffP7eEtKBnt4Q4IE1vlm
6KmpvhxZFmfD6/Wy7KbPEa+uxNj4FGp3K2rdLhJFE9GCRSij/OdIAus8MsNdmKeOgGZFySxA8WbI
AUBxRqrFmvoHqx1bTjFmrJf21x+ja9pVlEysTN0/Ha1G73d+viXi6NWbUI9sw7RYMYqnoFUuRLHL
AUBxZp1d3ai9YTI8bsxElPD2Dbz5/A5m3PVNps+aNWpvQUhgnSdmIobZdAzVSGDGdIyuFsxYRAJL
nJGu6+zZfQTXy2uYNrMMR/E4MtMDFK7exP5nn6FiyhRcrtH5cySBdZ4oNjtKzlj0cEdq38FMz0V1
eAZ7WGIY6O/vJ1Rbj2PLUZSpE1HtLlxjyxhTdpy2hnp6e3slsMQAUy1Ypi1BzyvD0ONo2aUoyX0J
Ic4gefFdT/PTq2voXT2Yho5hxAm7Iex1jOoaaRJY55OqoeWUDvYoxDAMrInLlvH2K69w8NB+JhX5
sPgC5BTnkdh3kAObN3PhkiWjcvN99H3HQgwDZZMm8fqyZZx69UGm+YJY07MowM6FW49y8NmnGT99
OlnBIKONBJYQQ3SWleV2k9HYi9Hbi+lNw1R1stIUttYfJtTdLYElhBg63H4/zbqVRFcXmt+HqcdQ
Mj2EGyL0hcOp8jOjrSKtBJYQQ9TspUv57TOzyV29maorLah2J95gJiW7DrD3macYX16ObZTV/JfA
EmKIysnLI/uyy1n5v19h/KIoPn8Qa0eYmW3d/O71Nwjd+SUCElhCiKEgudxL1vi/uAc6fr+KteW5
OFtClJ7swZJFakk42khgCTGEzZw3jzcKClh64jj+eBtZE/PRJ7txFOWSSCQYbSSwhBjCJk2axMFv
f5tXvvsdrp2ezbgrlxDqC5P50kZefOxRbr3r7lF1Hmv0fKdCDEPJMLru5pv54gM/pdfrApsFr8XD
GGuU7zzwMy666uOUl5czWkhgCTHEhcNh2ppbOObpobKtEdXmoGJCAVe8Wc36VauYMGHCqDneIIEl
xBDn8/k4abOTG4mj2d1oXj+exBFuMk3uX7mS2G23jZoWYBJYQgxxydpXn/jk9Zi/vo+Wl98gVppH
Yms1Lt3EjEYxDIPRQgJLiGHgwsUXs/u3v8O/vhaHxUn24rn05NQxZc5FOEbRWSwJLCGGgSlz5nDk
jjto3f4mVdOKcBfmYi3K57qqGaNm/ypJAkuIYcDt9XL1XXfR9tZ4lMNrMWL9aHoCve0EeiKONkpq
rUlgCTEMJGdRXp8Px9hx6I3bIBFNdWJq276KAyE3i6+8ZlQsDSWwhBhGegwr0d5+sjx2LE4vgYRB
86++z0sRnatuvHHEHyId2d+dECOIaZps27QDff1bLF26EEWz4LBamJZoYNvzz9CxbBnB7GxGMgks
IYaJRCJBpDME+0/QV7ALV1k5sfZGvDn5uHpChHp6JLCEEEOD1WrFW1REIz76OkLYI2Hs2cVYOyL4
csaQlp7OSCeBJcQwMv6CC6i/7Boae3YSDBaj2WwEKm1MSy8hPc3HSCeBJcQwkpufz+IvfxVz2wsk
2g6h4MESCeE1+klE+9GsNkYyCSwhhhFN0ygsLiZmXU7Pw2vx9nWR6AtxtK6JmhMJLr7l9hG9jyWB
JcQwtK+ph47qRuaMy8DizaCko4Ftf3iQN6werv38HSP2TJYElhDD0I5166jYtAfL1KtTG++KZmVh
+hFee3sd/TffIoElhBg6EuEw9l4DzZGWOvGuubw4M32gxEd09QYJLCGGoSkLF3Lwdw9RUl1N2lRb
qllFLODD586RwBJCDC0zZ8+m9a7/xb4t/8lc00Cx2fFkBmh4ezsvPfM0n/67z4/IKg4SWEIM00Ok
c667jt88/gvG5tcSzM3B3hkh98BhHvvxj7n6k9eTlpHBSCOBJcQw1d3dzbMHGpnfehL3rGJinT0s
icfoOnqU3Rs3smDFCkYaCSwhhim3241Ds5AXi+MYNx5PQQHh4EYW/XErL65ezfzLLx9By0Izeftb
AkuI4SovL4958+YSPbEVS1YA4v3Yx+cTL6nG6XIxkph9IRInD0tgCTGczbrhRjb+tBrf8VpyJ07C
nu/HuriHqz5x7ciZXRk6iRP7iW98WgJLiOHskstXsDHSTUfdenIVFUXTKCstwFk0hpEi0VCNvvM1
1I6TElhCDGder5dF195A/2Y30X2rUI0EiVA3q//z14xb+glKSkuH9UzLTMSIrfk9llAbpsUqgSXE
cGd1eamzpBOub2ZifiYufybZW57i4ZfWcfsDD1JQWMhwZOoJouufxNrfgyU9WzbdhRgJunt62L5m
LUWdYexTp6JY7YzNbeDSVZtY/fzz3HTHHakqD8OLid5cC4fexpKWiaL+9/glsIQY5sLhMOEjdWTG
I5jxOKgaikUjYovTW1uLruvDK7D+Z5M9tvFptL5uon3dWDLHYDp9ElhCDHculwt3TiHVq9aRWZaN
NzcX1ZtBbzCd3qamVK33QGYmw4OJ3lKHsfN1nKaOmTmGSFsDZmkVjKmQwBJiuPP5fBQsWszmt16l
sjeOT7NiS8tkTnEQfc829m3alDpEqqoqQ50Zi5Ko3Y3S3gBOD6rNDjmlWGZegeLwSGAJMdxpmkZm
aSlBfx7Un8IozsXiy8A7rgjf/i00HzyIfumlwySw+lGjfalGsfH2bgybE+sln0mFVZIElhAjZJZl
8QfoPboDRZkFySMA2TnYKkuwpXmHRVglKQ43SrAYs+0ESrQPtexCrMnl4P+QwBJiBMjMzCQ+fwGb
9q6loOUUXquGHo+SWV5I7pwLh3xgxY/uILFvHVrJFCxlF2AGi0GPoWUVpV4i/JkElhAjgN1u59qb
b+YFJUHzkRfJSMvCqigU++N0dxynP1yG0+0ekodIE4016G/8B860LOK7V6IbBtZpS97390pgCTFC
eDwerrrlczT/6C2MWD+KxUa8uYFNL6zFsryVS276VOqN4lCTaKzG5vKCkqzwHMXobkkdEuV9wlUC
S4gRpLGxkZ1v7Sd7dghrVh62RB+TWk7w4iO/YeqixRSOG8dQ2mA3O5tRNSuxRAKL3othc6BkFrxv
WCVJYAkxgtTX19N3uJVEuQ/V7UF1OMjK8WNurSXc2cmQkYhjHN8HR7eh6Tp6oAAjWIyalolWMu20
H5PAEmIECQaDbFZcxBs6cFVUoTm96OVxPL1p2N1uhgqjPwSnDqN2NSdXgmhWJ9YZy1E0S/I/Tvs5
CSwhRpCJEyfy5KWX8dJrj3D9chsWq52oz0XenBmkBYZIjXfDwGhvSJWNsSWiYHNgpuegWB2nXQr+
mQSWECPsEOnd997Lrbu2M3vLeoonTcKhxNC3r2L1U6Vc8/kvDvoRB72tHn3j06gdjUT7elDKZmGb
ffUZwypJAkuIEaatrY3yo7VklY/Bmp6LxUhwobGLhx96iPCnbsWbljZ4gzMNzOZarEYCNbOAeHcr
ZmElqst3Vh+XwBJiBL4pLA6FsFhcySlX6uyVXbHQd/wYkUhkkAPLxIiEIBIGqx3Dl4Uld+xZf1wC
S4gRpqioiBd9PnpaOrF2tKDHY+zr6KbO5SaeSAzq2PSmY5h1ezATceImqFOWoCZPtZ8lCSwhRpj8
/HxKv/xl/uPRn7PUt4spYwvITPMwOdrBIz/9KXd973vYbLZBqSAaWfUITiOO6gsQ6w+lyuAkD7ie
LQksIUYYi8XCTXf8Pd9b8wYBVcdVPJ7x2UXc2PAkv37gAQ7ccAPTpk//yMcVP7od6vdj5paAaUst
CZOXtM+FBJYQI5DT4YATJ8gpG49qsdJrSaBhsqC/j6MHD36kgdXX18eGN14j663fMKkol1jzcQxV
Q5t5JdbcsnN6lgSWECOQoqrYM4K0rtye2i9qsySw6XHa7Soe67nNaj5sWP32Zz/j+AP/zt23L08d
XVAcXnpVJ86iKhw2xzk9TwJLiBFI1TSmf+pmNt/7XWbvOkDwkiq0j83EumY7sfY2OtrbyQgEzusY
TNNk/65d7H/2Kcq9Cg63E9Xtp6vtBDtqGgnOCjGj9NyeKYElxAikqirzr72WdZ2naK1eSUFGOorF
yrw543nplz9ks8PBpZ++9bweIk3OrmrXr2d+RwOXXXkRbpcdI9JH/Z4DbDgUZWF7xzk/UwJLiBEq
PRAgOKGSpo3PYMTjWD1+/AUlXOStYf0zT9O8/DJyc3PP25/f3NzMydWrWeq24C3MT7XrSoS7iTSe
4oSjEP9fMcOTwBJihDJNk3hvP/FjTZjTxqLle9HcPjwTCmHfKdpaWs5bYMViMd54+WV2b3mbZaUe
+k/WYlPjxGvrMJtijL9yHhMrK8/5uRJYQozg4w1qegb1vTEi/QkcehzTMIhaTPbEYkwMh8/bn93f
18dbLzzH+MI0sm5YjivdS+crr9P/6gF2ZRWx8Npr8Xq95/xcCSwhRrD04mKOTZ7O9tpqFozJxOL2
EzEStFuT1T3jqVnY+SibvOaFF1iwfSMfX1JBICeYKhvTEQjyL7FqJlx/PfMXLPirniuBJcQIVlFR
QdXyq+l48yFwpqF5/JRMncPntj9J/dNPMb6y8rw0WV3/n7/nS9k2XONz0Xs7MeM6bduq2epP5wtX
XfVXh6QElhAjfFmYmZaOJWxi9vRgOl2oxCnO9VC/dzuNJ06cl8AKxyI4pozBXliCmYjRt3MHSk0L
i264lekzZvzVz5XAEmKEs1utxJp6iHd1obmsqVrqWk4AtUM7b8caZl99NX2Nqwl6/Kluzj313bzs
8XP75z//oe4xSmAJMcIVTZrEqtwyGg9VUxLwYA3k4SqNMWVaCYXFReflz7zqhpvoXqNxqvkInW0d
rPcWMv3ebzJ5ypQP9VwJLCFGuAkVFYS+9Y+8ff8/UOrJQHW48ecX4cmfcN7qvPszg3hXfIZQw1ES
/VGuvi2P9GA21g95LUgCS4gRTlVVZi1YSEXRb9BfeQAj2v/fLba6myHaC9YBrvVu6Kn7i5rNjr9s
Cv5Um4mBIYElxCjhKZpIDyZKSx2WtCzUriYSx3ZjnbTgXe3gPxQ9jn5kG8bx/an+glrZTBTvwN1Z
lMASYhTRgiVYNBWLOx2zuwWz7QRmPIpiH5iO0HpHE+xfjzXWh9HTgm5zYqlccFYNJs6GBJYQo4hj
wfVEn/wXEp2HUu3se08cxjWpE09wYALLjEcwQx2QiIDz3E+yn4kElhCjiJY5hp60Qnw97VgD+bQd
3sfGn/2IFV/4OjkDcK/QDLWnanElK0PoFjtqIH/AZldJElhCjCLNzc28+PwLfHrx9FRD03wtQs5/
PcbjCRtfvvfeD3UuK9mRp//IbrzxaKr0seZwp67+DCQJLCFGkU2bNmHZd5DE1FxsuaU4AzkEsy38
9g+P8bf33IPH4/mrntvb28sjv36Q7N3Pc8XcKdDfQ3M4QfoFNs6u4+DZkcASYhTRdZ3+jgSdLe0E
M/PRXD48wUwce+o4dvQoU6ZOPednJhIJnnnqKV584Cd89+rZ2H0B4rE4m9dvR/Wt59qbCgfsgrUE
lhCjyOzZs7nTE2TWkTZypntQ7U5KpkzkC+sO88dHHmHSD394zsvCzs5Ojr79NlNONpHV3oXe1U20
P8LW7fsx7W9z1Sc+iXWA2opJYAkxiuTl5VFywYW49q0l0d6CJZCF6vdSkmunvaEhNQM718BqamjA
vW0bl0YNVr2yGeuxk1wcSxA90opyUbJXz8CRwBJilJm7+GKqt66ksLMNLc2fqkLaUZrD2EmVaNq5
HSA1DIOWujqUmhp6TPhlS5j2tkPMNWFKeoB4efmHvo7zlySwhBhlZi9fzu9ee5rcU21MyytAVSDk
89K4b09qH2tc2dn3CkzuTcWTy0IlQUFZBsuSBQFPdKHETPTMTKZNmzagBQIlsIQYZfIKC7n2n37A
vge/Q3HdYfzZuVTmpDP30Vd44oeZ3HXffTidzrN6VjKMcgryyL56EcGqYr7rdtHzp5dZv7KaXSUl
3DLADVslsIQYZRRFIdrVTdvBI2gzczATUSw+D7EshV1vbeDQwYNUnUPQlOWkk7doBv5ECNWmUTOh
kJ93evnWN76BI9mBegBJYAkxCvXF4+ypb2F+oZXxefmoviwuWzAdy2tHObprF1OnTTurzffkYdFj
OzZR2FaLGshGj4QxnC5+9NAPUrWvBrpevASWEKOQKxAgIzAGsyVZhTQNzZeBd+IUit7ez+FjR8/6
bWH17t2se/CX3HrRmNSZLiUWoXtfNdHW1vPS3EICS4hReryhvOoCQjv+SPRUHTZTJ97TjFmURVek
n3iy8epZvN3bsXo1ZfsOoEz2kujtwOwPU3S4jt89+igLFi8+57eOZyKBJcQoFAgEyL74ErbteoOi
3ghZsX4svkwCpkZ8zRp2btrEnEWLzjjL6mxpYaqhY4R7iDUfT91PDBgmDTU1qSMPElhCiA8tGSTT
Fi3i6LOzaN2wnrRL3WCz4GxsZdz+bjq2biVx0UVnbBiRWVjIHkVhgjcdZ1EFel+II5pCPBg8Lw0u
JLCEGKUMw8CeMDD3NROf1Yv/wjlo13rxxl9j557dTG9tJT8//wOfMefyy/mPN5+j15eB22JHc2ts
yUnnzq99VQJLCDFw0tLSsI8fT9tGJxVFRalNcnt2APvEfGoP7aG1sTG11/VBm+fFJSX8zVfvJrT9
OTIjvamWXtfMnUxvmu+8dJWWwBJilHI6nWTNncvqp35P6eGDFHldYJoUeu2UKV0QjZ7xGclZVPKr
q7kFw62i2l04+8M8/rWvYfvVQ5SNHz+gY5bAEmIUG1dezqtZY+isbyJ/bCtGfwiLFsX02eiLRc84
S+rr62PvqtWUH62D0lxMPYG1s4d5W4/w+gsvMParA7s0lMASYhQrLCxk6Z1f5KX77qHo5Ancfj92
t43J8Ube+s2vGD95CpnB4Gk/H41GaT9cS9rhUyQmt2DJCZIIJ8g2dLpPnhzw8UpgCTGKWSwWFqxY
wfP/9I+YHW2oOQU43WlMLYux79XXObpnD5lLlpz283a7HXdBIXU7dXIUFc3hImPJUrZubyDjf/bF
BnS8A/o0IcSw09fXR1pvH2pXAs2ThtWfjdkXJ2g/zNtr1nDhBwSW2+2m4rrr2NtZQ5XXh9PuRjd6
2eTUqAgEUifmk6E4UCSwhBjl0tPTCY0bx6mazaR/zAeKiurzEAnY2fb2BmKx2GnPYyX3p5JLRqth
o2PffhyJEPGuZm7M1XjsFz8gMyuLi5csGbB9LAksIUY5i8VC1fXX84fvbORL1fvJKi7CiIaZMcZN
fVreGU+rdzc307dlN/6pWdhySrHnl1Hoy2RJTRMbnn6ciooK8goKBmasA/IUIcSwtuyyy1j7u4fY
u3UnCzLcWDzpFE6pYNmEi858vUbTMC0WTMUChglWDYsnjbH5KpueWcn+t5aT84lPDMgsSwJLCEFB
QQFfuPf/oD//MzRPOtaMPFRvBpNzztz2K1hQgH7BHLZteJlZ9jj20iCqy4u1tZny+lOE9+6lf8UK
3H9lC7G/JIElhCA5+5k5fyH9jjD61mcx9ThGtA/V4T7jZ3Nyclh219081NhI9HgNSytKUa02PFYL
LkyimoY6QJegJbCEECma1YZrykJiXSeJ1mxCs7swj2wjVrkIW1qA00kuGcdXVlKZbOe1+nfYsovR
bFbCnQlqSwoprqoasMqjElhCiP9HtYA3E2tWEZqmYraf5E9f+RSVt3+HSbNmfeB+1o0330yTPwKJ
DgxTpz2QTcW3/plZl14qjVSFEAOvJxKlevdBSttrSM/LTi0LZ3cf48VvfgPXQ7/5wLuByUOkYy6+
hvjGZyDURv7cZZRMWohmsw/Y+CSwhBDvaGvrYNvzK8lzthF3TEH1+PGqVsZX17B906ZUC7APmi0Z
3W3obfWYfd1YelpQ9VgyyhgoElhCiHcYuk68O0Li8ClqVRsH3C70jbX0Gx5shsGZxHa8ijUSQtEs
6LW7SRRWYi2tYqBIYAkh3pGZnU3GRQt44xd7aVt1gECJkzFZGg0dUcyamtQ1nuR1nNNRIiEsngyU
5JkrRcXoCzGQJLCEEO+6plN18808tGMHC+o3snjxVGx+LxP317Dy9afZMncui1asOP2y0O7G7G0D
mxMj2o/i8jGQJLCEEO9IBpE/EGBqIECZJRN/5QxUl4eI1UfTvpcw9uzhomXLsJ7mbqHiSSdevy/5
uhHTl4nlLM5xnQsJLCHEuySPLrRbrbRanOjJIn56DK/dwvxsD7u3b6GpoYExpaXvfcPY00O0pwcv
KoppoFgHbrP9zySwhBDvWRbq5eW0/ddqIieO4J06G82bwbTJU6ndfoympiYKSkretSw81djI1iee
IPvIWmbMmYzFaiVmdaYaXQwkCSwhxHtqvU+dPh39D26ix0/imZRIvfVT05xoGe737F8lN+K3PPM0
0Ud+Sf4EL3psPKpm4VRdI725DVQWTGCgSGAJId5j8rRpPDFuArnHNuPvacNIxMChMGXZQvJKit8J
rUQiwd69ezm5aQ2XTC8ke2oZfT0dtLyxjuaj3Ry3jmPinMVSD0sIcf4k+xEu//732fejr1LR1Yot
Mx+brlNWlIsz3Z/6PV1dXXz9rruo2bCBBZ4E3k8uwpqTgyceo2b948TCdkKh3gEdlwSWEOI9kjOi
yVVVlH3565hvPoxisWJNy0KNhzE7T9HrzuLrt9zC+Bdf5ErTpD/opuV4I2mZAfS9+0nvirM9t4C8
qVOla44Q4qNhmzCb3ufvw5ZZgGno6L3dqIk4j9x/P5e9/DLjTZM6oKw1TMPjq1m5cgt5cStdBeOw
ff7zXLV06YCORwJLCHFaqi+AmpaFljwAaproyb2seIS6lSu5Qtd5CvgZ8FkTFnbF2NgVY963v83M
RYu4YO7cASsr82cSWEKID6QWTybR1YSiapjR/lRgWdwuwopCnmkyDcgDkrtVlokT+eTtt5M/QDXc
/38SWEKID6SVVhF96QE0pwcjEcdoP8ncm27k8bXr+GQoxD1AP7Bh3DhuvOcegtnZnC8SWEKID2TJ
HUcsHsVRMB4zHiW2fy0Lq1YQu/9+Hr7/ftw9PcQKClj4d3/HwiuuwGq1cr5IYAkhPlBNW5gsU8Xa
XEeitzP5ChGn1cFVi29m2TWr6e/vT1Vw+KAqDgNFAksIcVqmaXL/N7/JPfZqlHlzcRRNItZUSzTU
Rej4EXILK/F6vXxUJLCEEKcVDoWIbdqEVuXAmpmPaneR6DjF3g3b6MiaSy4fLQksIcRp7d6xg85k
XasxYzBi/WAaxBtOsnHTES64o4iPmgSWEOK0Vr/5JjOdcSx+F2YsSiISZlPNSban5/PpKVP4qElg
CSHeV7KMTOdrr3F7wIorrzi5o0W8/SSbToYwiivxDEAn53MlgSWEeF8HDx6kov44wcXjcOSXJeuJ
Em8+hRbq58orr8Ri+ejjQwJLCPEeycJ7bU1NRD1xbOPGYCa/4lGitS24NS+zZs8ZsOao50ICSwjx
Ho2NjRx99FEC9n5swTEkutuJ9nSw81gjyrxL8J7H0+wfRAJLCPEe+/fvJ/v4ES6pzEdJLv0UjZ7O
HjZEFWZ9/BoyMjMZDBJYQoj3LAcbGhrYHA2xKLsUNCsYJmpzJzm2dDKzcwa0xtW5kMASQrxnOXhk
7Womp4HbaSXScIiWpm5+u/Ew/rlXvKcBxUdJAksI8S41Bw9SsHcLV1Vk40lPx0wkUJpa8ehplK34
GMGcHAaLBJYQ4l2Unh4y+rpxO33YAvkYkTBO1aTM7iAtLW3QloNJElhCiHfp03VO6TpGRi6qw4Oa
rINueaIsAAAIPElEQVQVCNLj6CfHPvDNUc+FBJYQ4l3VGaKKQo2p0dLegqfFjWJ10OdxUhtUmOJy
MZgksIQQ74hEIiROnGA2UbLsWiqskgdG47F+0nJyKH2fFvUfJQksIcQ7ent7SRw+TGWmk7SycqxZ
eRh9IfqPriSenn9eq4meDQksIcQ7koHk9HoxHTZUuwNFs2IaBmZTFHd5AXbZwxJCDBU+nw//3Lk0
HFnJxLZGXKpJNNTNDn+QGVdfIzMsIcTQoaoq/jFjCJeWYdo1jGg/mtWK35Kg/sgREvPmDUqVhj+T
wBJCvOtaTsuhQ/Ru2Yhl+YXYgmWYus7koJeXn32a5uXLyc/PZ7BIYAkh3qHrOtHOTtT6dsyePkw9
kfp1uxXMU/UcPXxYAksIMTRomgaBAK2Kk0hPCK3+UKqWe1wxqDfCFLW1pc5qyV1CIcSQ2MMqqqjg
haJK0g4d44qAA0/+OAKKnQsT7QQDGYM6PgksIcS7VE6axLRPXM+ah77L8oxCrBk5+J0eLh87Dces
mYM2u0qSwBJCvEvy6MJtt91GtT+GK1yLaehg6FgVU85hCSGGHofDQfnU6eivbCYeCWHEo5j5fhjE
2VWSBJYQ4n0pmoVEbxfEoxjRPpSceLLT16CSwBJCvC8j3IPFk4bNn02itxM9dcRhcBNLAksI8b5V
G5r2byVLs6XOYql2J7j9DDYJLCHEu0SjUZ578EEy1z9JcE4VqtVGqDdG3clWJpsKGoNHAksI8S67
du7kpT/9gVvzVWz+LExTJ9LexoHqYziXHmHCxIkMFgksIcQ7enp6qH77baY1H6ZywUI0l4/ke8G+
th3UHO4gp75eAksIMfiOHjnCqmefoeGJR7kyXcVj0TGjYUwUuprbqHdl4B+kBqp/JoElhCDZi/D+
b/0Dyo7VXF2WTtnsS9A8NmIdpyBuYNS2M3bmAsaOHTuo45TAEkLw+uOPcWHdOqZeXkXpmCDWjCCq
zUHvoc1ED5xib8jOtEuXpwr8DSYJLCFGOaO7lcntWxl3ySR8lbNQVCV1Bive0cSOjXt56kCCir//
CvOXLRvUe4RJElhCjFJmIobeVEv/Sz+nakIpRm8nqmbBiEfoqz9EeNteHt/WRcYX7ub2e749qA1U
/0wCS4hRyIz2kdi9kvimZ1E7T6GWTgWXj9Dxg9TU1LH5rWpORtzkffbvueuee4ZEWCVJYAkxwkoc
67r+3mYRho7R1QzJO4GeDMz+HpTGGhxpAWLxCNHmOlRvgJaEk22tLuoqFjP/lk+zeOlS3G43Q4UE
lhDDtH9gb28vLpeLSDjMqeZmjh47Rm9DA7a+PrImT2buwgXYQy2Y/d2YiTgc34sS7sTIKkbJGw9W
G4rdjeZJJ2b3YOZPIHjpXJbcYOFqn4+MjIxBbTjxfobWaIQQp5VIJFIHO7du2MDhl1/G0dpKs8tF
Z28vVZ0thDsbaQ13MsEPkZpptPfsI2gzsSgKen9v6t/JpZ3RUouRXYIycR56Yw1K8TQcZRegpgVR
LDa8DF0SWEIMAxvWrmXtww+j1x3FRzMzbT1kOhyc6LQRCnUxMz8bZ1UpCZsVp6qjuNzYI22o4ThY
7SjxCKbdDaoNw2JDychDS8vCTM60NEuqJf1g17o6GxJYQgxx1dXV/Nff3MTfWjvJnl6Ae3oVmk3D
FshjbDyGkYhhTcvE6OtJzZD0cDd6pBerxYKZ/NLjUDARo2AiergLrWQqWnpuKqAU5+A2Rj1XElhC
DFHJzfPGY8f4/lfu5O78GMULZuIsrUDzZKCH2lFs9tQmutXjR1G1VKUqo78HwzSId7QR8+VizS1B
K6zEMqYCNT17WMyiPogElhBD1IF9+3jtC5/n41ojJZfPw+p2p5qaJqt/Rvuj9DcdxGO3Ee1swWLx
EDteR2tLE8cMC9HD9cSvGsuya67FlpnHSCGBJcQQtevNVUzprmH+p5bhLBqfWuZFT1QTrWtm3fEe
Wurq8bpUTqZ78URV/L0Kp+x+juXkUbZsOVd89k5cIyiskiSwhBiiHH0t5E1MR7VbUjWp4n191Gw7
wLZdLbTOWkL2BR8j4k6+JQzhyc3Dl1dAXnY2l+bmMmbMmCF1fmqgSGAJMcR0dXWx7e31BGNNFM6e
Byr0H9tNqLaeTQfa6L7sRq776tcI5uWlzknF4/FU+y2bzZY6tjDY9/3OJwksIYaQ5DmrP/7kJ1ie
+RWXL6/CWzY9taHe3dXJqp21NFVdwg1f/grjystHdDCdjgSWEEPoWs3GdetY9eiD3F3lx5+Xnfp1
0zQ43B3D9bX7+MxFiykqLma0ksASYog4ceIET33vO9yZb2fyxRdjcTmItZ6g7/gx1hyIcNs/Xo3f
P/idawaTBJYQQ2Qp+JMf/xijqZrS5eVYXE5Uh5vo8Rpef30b0XFL33uheRSSwBJiCNwRfPaJJ4g8
8TDXLy4iraiIRFcL8Wg/rZv38etTVu76zs04nU5GOwksIQbZ/v37afjVL/lSqZVx8y/C4vaQ6Gji
0O7dvLj9JLNvvoP5l18+ZGpSDSYJLCEGUXt7O7+47z6Wtx2i8LoLsAdyUu3gY+Fe3jzUwuFpF/Fv
X/86Xu9QrqHw0ZHAEmIQbVy7Fu+mNRRWZWPLG4PeH8JMlpHZU0N9u4VP/fNXyC8oGOxhDhkSWEIM
FtPE0drANeM9lM+bimkkiHU203XoMFv2nGTG9bcxZ8GCUXne6nQksIQYJMkyxVP9EewLqrBYNVTN
Reu+nbyy+gCHi2Zx4w03kpaWNtjDHFIksIQYpCYQsd1v4m47gs3twTRNoh2nOLDnKPudY5h762eZ
MGmSbLTzbv8X0VBWsLFT46wAAAAASUVORK5CYII=</Data>
</Thumbnail>
</Binary>
</metadata>
