<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="de">
  <Esri>
    <CreaDate>20250429</CreaDate>
    <CreaTime>09321800</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
    <DataProperties>
      <lineage>
        <Process Date="20250429" Time="093218" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\RegisterWithGeodatabase">RegisterWithGeodatabase \\gisdata\geoprocessing\_sde_verbindungen\AV_KtBE\GEODB.AV_KtBE.AV_O.sde\AV_KtBE.AV_O.V_MOPUBE_GAEINP_ADRESSE OBJECTID SHAPE POINT "PROJCS['CH1903+_LV95',GEOGCS['GCS_CH1903+',DATUM['D_CH1903+',SPHEROID['Bessel_1841',6377397.155,299.1528128]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Hotine_Oblique_Mercator_Azimuth_Center'],PARAMETER['False_Easting',2600000.0],PARAMETER['False_Northing',1200000.0],PARAMETER['Scale_Factor',1.0],PARAMETER['Azimuth',90.0],PARAMETER['Longitude_Of_Center',7.439583333333333],PARAMETER['Latitude_Of_Center',46.95240555555556],UNIT['Meter',1.0]];-27386400 -32067900 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" #</Process>
      </lineage>
    </DataProperties>
  </Esri>
  <dataIdInfo>
    <idAbs/>
    <idPurp>Gebäudeeingänge aus der AV Vereinfacht Kanton Bern. Grundlage Datenmodell MOPUBLIC</idPurp>
    <idCredit/>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>KtBE_GEBADR_Adressen</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKgubn7Ou7y2cd9uOKAK+o61pukgG/vIrfcCw3nqB1rnrz4ieGYUV31FZYpBlfKGa8e+
JHi7/hKNQVEhSKK1Z0Uk5LDPtXGeQDCHy4K4+4xGB61hOpfRHHUr3dlsd54+8S6V4guD5D380QJZ
QzBVjz6DnPSuEZVhs0VUxuOB83YdfxpGeRUV9/7tmxyepqKGJZgWUsCD69fp2FZ37nPzN6ssi8c2
/lF3ZQ3yJjOPc003BDh3XIHOwc7qvsukwx2/lWrXEjAiVJG28/UVpW8VuGlkhtLSCVUEe1pdxYH3
9qm6JujJZ4L25MQtEj3qDwuNregroPD3hi511reyl094ohJ81wowAPU+tdD4e8ISa1awahLdR2kR
wRFAgBYDucd/evX9GVVj8kINsQABPU0lLmlyocPelyplCw8CaBZR2pWyR5bfBSQj5s10wAAwBgUU
ZBrtUUtj04xUdERvAjsGP/66+dvi9aX/APwl8shtzHbeWBE46P14zX0U5O07fTrWLq/huDXLFrXU
ZjPCeQCgyD6g1MoJq5nUpqS03Pk7YmcLkBfl5XOAPSrtnDCsTlbhhKqErgbv/wBVdB468PjQdeeK
BWjtdo8rp24rmobmSJj5WdxB354JFc6d9jhT10Nq98W6tfW1rbSzYWH0HDdOvNQ6l4t1rVnWG7vZ
ljVdgVJCAAPb8KyZZAYlBwpZsMecirenzQW+9JokkjPVWGST069jQnbYFJrU+g/C15Bf+G9PaKZS
REFLs2ORwc+/Fdpao0duqsQSO4ryf4S6jYX9nPossESSRN5keeWZT2/CvXEQRoFXoOlXRp8r5jpw
9NJ8/cdRRRXQdYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUyWVIV3MfoPWk2lqxNpK7GzTx26B
pGwCcD3pzSokRldgqAZJPYVgeItKl1jTixuDbTRN5kDD+EjufWvnvWvGHiHVHmtrvUD5afI0aMVQ
1l7R38jnlXcXdrQ9El+Ll1D4pnsjBHPYGXZG0Wd2OmR61ynivxxqGua48GlX8y2+7CKTtAJ6g4rh
2BjYYX5yPXHb1oWEm98m5Dwpld7qN2PoM1k23qzlc3Pdk19BJaXEttP5TTqxDFH3Y9ceppLa3IUy
NLsjxjHJyK3brw5d28giPlP5jgRuGyxHr9KTVdKstIg+zXUxe+WQZCHKsvX8+1Tci5jDS52tFuVd
mgZ9iso4z7/mK1LjTLyyt49OmgMMK/O8xiJIGOOfSjUdOuYZ4hblnRoxKqHjH+cVk6vdX13cumpX
Ekjx/Luzkfgfwp63Gm7lGVGiuGhVtykn5s9f8K2LBbawcXd9MjExlo4M7skdN2OlZYdGiQyEhFBy
WHPpTyLSWBW2lpVJBfPG32HY0x3L1j4m1yylVLW9MUCEOirg4Pp9K+g9A8UQW3g621vXZYrYuoDH
pznH6181W5EYwAHkJ6njArdtE1DVdQs7G7uvKtJyMNK2AAD/APWqlLlNKdXkbPRdQ+M80t0sVlbB
Ikl+eUclk9hXqFlqialYwzWRMgdQSxHIrjtE+GOgxsXnaO4JClVJBx71teMtSsdG8JX8MVz9nlEe
E2cHOelO85dbI0j7SV+Z2Rvm8jtHihvLqJZZziNGIBP0q+BgYr5Gk1rUdRuUlutRlaRABE7HIGOm
K7fRvi3rWi2Ygu4lvvLGMs+D/I1UaiSsVCtFaM9L+JmnaXP4VuHu3hgkHMTkDcW9BXzeUKjaRj3P
aun8V+N9X8XGE3KJHBCSVVTgH0z61gXl+2olZroAFUCYRcYwPrUTaexjVlGT0KTq7Iu5WO4cdx+J
oBWQSkB+AAGUYH1ye9SRiOH5kUtgYzjmgtujwgfceQT1FTcyuaHh/XLvQNWhv7M5mhPPfK9819Q6
RcXmpaVa3vnKvnIHKlMYr5S2NGql3ViTgk9q+nfAGtDXPCltNs2NF+6bHQkY5H51rSfQ6cNLVo6i
iiitjsCiiigAooooAKKKKACiiigAooooAKKKKAEPIPOKrLbHzt0h3DHGeatUVMoqW5MoKW5m67qV
to+j3OoXZxFDGTgdT7D3r5ah0+81vVGjsrWa4eZyyjBP4nNfUHiLw/beJNPSyu3cQiQOwQ43Y7VY
0zRdO0i3SGytY4ggwGC/N+dTKHMzKpSc35Hhuk/BjXLoh714rUEc7n3H9M4roLX4OWFjg31/NcSj
tHkKB2/HrXsNUZ2U3ARADzl6zqRUY6GdWlGMdD5+1xv+Ee1G7traxkWTcwikuU+4O2wn2rm76K7+
yWt7dXCylwQAzZkQj1HbpX0nqk1oNMuLq8s0nVFJUGMMV465Ir5uWAave3ENrDK9zPMzxkA/IM5/
lUJLprcwcYpXWtypPd3V2IpbmWRo5Bt4GCAOwq3e6E+naPDd3jBTMT9niK/OQeSeO1d54F8IaPcR
teXM0l5NA+CjjCIw/ma5Px7rUN/4oftbWhMaIBxwcH8K6PZckOd9diU9Tlo5BLj5Qwz0YcH3oICg
7I9oPsTmpojZMLl5Hw2A0Kq2R1yf0qOdWj3CNslehPGRWDVgcbDrJA97EtxtaIuA2OTjPXJr2Gb4
X6FcG3ure+uI4DGpePaTnuea8duLxrlIUZNmxRgIuOPc1vt441mXSItJjuBBbqhQkHlufWgqLS3R
7e2q6D4U8PJPHH/o8Z2I4G9mb2b/AOvXlXi3xfdeJI72O240xX2puwN3vzzn2ram1Gyi+Gdtod46
QXs8ZkTznGMnocnpXmc9le+alvHNG6IpbbG2d3+fWhtMuck7WGwxJhAzcJ0Rhjdj37U68g/0hI7Z
tzADftYHn61WLM8eyVjuHQKO1S25RblCAfJjILIDyT6UjK9lYfFcPEJ0AQiUbWVwGxznjPQ8dqjZ
Q4QBdp7AdPyqS6uBeXbTrDHGhAG1ORx3FR7GBDZYj1x2pEtiMC3Dtn6AjH4CkOGAZVDHOBk4xQCq
oQr5b1HPPpUex1VIw/HfHUe9AFq2dX1C1F5HthjkG/AGWGeeetfV2gabY6Vo0Fvp0fl25UOBnOSR
1r5K2sQyqSWHIVv4q+qfBdvcW3hPT47mUySeUCc9q1pPWx1YZ62sb9FFFbnYFFFFABRRRQAUUUUA
FFFFABRRRQAUUUUAFFFFABRRRQAjHCkgZwOlZapJPK5JCl+qnsK0LiaOGM+YeoxgdawNXu4LDRL6
9to55bgRNtjVizE47VE6LnZ9DnqqMmk2cl4x+JtnpCTaVpkAnuEby5TLjZjvyM5rzrS/E2jJ9thm
09rMyjckto2XBzkrk44I/nXHypOtxILiNlfcSVcH9fem713kokYjz0xk/U55rNVJR2OWU3I7i78f
3l3p9xptpZCK2MZUux+YL6k461zAs7aa0WSJzMQm+XjlegyPzqNZGtPOhjlXM8PznGSAewre0bQN
ZutJuorKw2xupMl0UxvUc4B/wpSnKWsmCRy0seyZVVl8nBwxGCT/AI1EjqSUOSMHvn8amh4kktZy
EhDckAcY44PqakSBXYEypCu7G58kj8qhkyEtHmgMrJbxSkrje67go7Y9DVZIS8xR/lVeXKcj159a
0YNTmtLSe2i2gTLtcEZyOv07VQeQpHksFYj5h0yM+tCYJk7t9rhVTc5dcIFY4BHbFWJlk0bUYmhm
JYjcrlR3HPGay41Z2V2QB8/Kw64rRttGublfOWOSOLfhpHO0A+9DaQ20VftMvmv5WP33XA6nPSnz
QpZXJi3Kx4JPufard4kGmzKLaYTSIvLxkgZ9u5qi74Xewzv5JkJOKRLsxiQeUcrt+Y7uOM57VKFC
MwwMnnPoKhDMykbI/rnNSM2x0T5iXGG2g4FAncFKhsEMwY59sUmQZH+VRGBzkcD/ABpxUBlPOei8
4/Ok2KWIHC5OADjPegRY06X7FqUN1IgkSNlYR5wCAema+oPCmv2GvaPFd2j8kAMh6qfSvmOBTMgh
UAs3QkYI/Oux8DeMYfCMdz5kXnSSkbQCQBj/AD2ojLldzSlU5JXPoqiuP8OePrTxHqZs7W3lIVct
Ltwo9ua7CuqM1JXR6EJqavEKKKKosKKKKACiiigAooooAKKKKACiiigAooooAa7hELHoBmsyfU2c
YiG33pL+ZSjxLNJuPBwelZgj4x5j/nXTSp6XaOOvW15YsllYzf6wlvxqIW0RbIQ5/wB40+3t3zsV
nck/xHNbdtYxwAMfmf1PatZzjFaoxp05zejPJPE/wy1zVNdkvbXyGtyAUQkKc+lO0n4T3t8kkOvi
OFFTbC0BG7rnn+VeyUV57gm7nYqEb3OG0P4WaDo0jyFZLkyJsZJiCv4cZ/Wn+MfFGg+G9BuNOE8K
T+WY44I+SvHcV21eG/GDShH4hspLKyUvOrO5Cffbg8nPPelJWjoFRcsHyo8oBMys8hyXb5u2R7U4
oHjUrIcdRjv9aWVVBYyn5g/3Om3np9KmVGiiJaPIOME/w1zXPPuQSBvLJEbk9waIYJ7liYYg2wZk
Xb2pWVEx+7Chvw5qzDql1b2Mljb3DxwT8uNuQx9DQCM4MADskVFc8EnIBHXn8asm7ljTyfOZoySS
m4/qKhUI6gBRvJPy44FMllKgtIpKoPl2nkH/AOvT3HuTiXepUDaCeo6jjuac6s6srOVGOwqvHtEZ
IUL5inPv9aUuuAQpCgcEc0gaJYo1YOz7sKOSV6+hpdhVBty3HAJx+tKu1VyQoyBgZpp4l+YZI5wD
xQSKqNIoDvsPUDvSiQHG0AjGS2MkU3IbhgT6kc4oCt5e0uuD1YdcUAOWb5dwY5PdTntSbnAyY9zA
dT0Ipsq7CgUZA6beuPrWtoXh7VNZuY4YLaRkdwu/HH1Jot2GlfY9S+DthOkFzetGWifCLkEHI6mv
XgWJHGBWZ4e0dND0W2sFw3koAW9T3Natb04cqO+jTcIhRRRWpuFFFFABRRRQAUUUUAFFFFABRRRQ
AdBWTe3zOxjiJCjqR3qXUrgqBEp5PJxWXXVRp/aZxYis78kQJJOTU0FtJOfkXjuaS3ga4kCr07n0
rdiiWGMIo4FXVq8mi3M6NHn1exHbWqW64HLHqanoorjbbd2egoqKsgrkfGjeJ30sroapHIGyWUgs
QPTNddRUtXQSV1Y5zwyNfXQbePUwv2wLl3kOSfyrzz4u2uszT2E8DvKnzR7LdWOD19PQGvZqhFtF
nlFIByARnBpOLasRODkuU+O5hKZZBPasqjClypxmujOvadeLYxahYyBLddrCDA8w+9fSt5oGk39u
YLnT7d4yckbAOfwrDu/A/gu18uS60y1iHRSzsM/rWTo3OeWF7M+cdWure/1B5YIvKhQ/ukJHA+nr
9apSNtQKsr564IHJ616D8UfB9v4dv4rrSYFis7nooJYBq8+Mfl4AJYj889+aza5dDnlHlfKxskQk
kMrb9xGOCRUUG5gPNUnPOORUwkJkYb1EZwAc9DTI8eYMuSobhieR7UB0AxGQMuQTnClZO1Sw/O5J
Jyo4IOOPpTRD5cryLkMx4446U13ImiXYASPmKmgW5IHdid0QAYc8gAUnzbCqP8o7ZJH6U4hS8abg
WHHJwB7mhisRYIuefmPYj2pCFQmMKSTn0I5NOIRWzGFHHGRTQRIBw3HdhRu2HAySv3h7UiR5UFo3
eNWYdAARX074CnW68IWU/wBhjtGdOURdoPvXz34Wg0yXXrUaqWNsz4YKcY+tfTltp9oltEsAKxBR
tCscYraideFW7L1FV/sUWB97j/aNSxRLEpC5weeTmtztH0UUUAFFFFABRRRQAUUUUAFFFFABRRRQ
BzZJY5Jyas21i843H5U9asRaYwl/eMCg9O9aQAUAAYArqqVktInDSw7bvMbFEkKBUGBT6KK5W7na
lbRBRRRQMKKKKACiiigArzD4veHb3UNPi1S3uyIrUfPAxwPqPevT685+MeoC28MR2pgEguH5b+5j
vj8amfwmdW3I7nhupazfatbwxX9zLLFCu2NXPQVQ3kIAdpznGOCKMFgQUAwMAdeKcVCsCBuOMDjo
K5TzG77ke7YmQQC3BI5NEiLJgHLgHPPPNPduFLjy4z0POT/jTcB4jhyMHPzfKfpigY07RIEVgHA5
47UxdvmKApUg7iCen0p7BWmDdJFHIFM2lXMmNyY+YKOn50xonlkLkEZCD1PI+lICJf4WXBwd3P5V
GM7PmQ7Qe55xTnErfKHXGQRgcikIlWNo3CSFwUB46/nSEchmfDDqAcg1G8j5zHhjxyMAe/Fb0mma
Pc2pljvdsgG4wNnJPfB6Um7CemrMyzu2tLyK6RcmJg3XqRzX0n4W8b6PrtnEkM/lzAbSkmAcjrjm
vmaO1J3YCkDJUYHap4IbyCfzII5vMU5UrnI/wqoy5XdGlOo4O6PrxWDDIORS15r8NvHFxquNF1aN
1v403K7KRvHvnvXpVdMXdXPRhJSVwopokQuUDqWHUA8inVRQUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABRRRQAUUUUAFfPvxb1i7vfFIszE0MdqMKCciQHvX0FXz38YL5brxgbfytghjVS
+eW5NZ1fhOfE/AeeoWdwIzlzwNoy3vxUhtpmkAJMR3DJcYzUsVwbdlaEyI6DiTqc9/pVu00839u9
xNqMMZVh/rWIJ/IGua9jgukImhyyWE919oXfAQDAEJbHr16VlkNl9kX3Wzk8k11mk3ttpZxIsdyw
kBeVR8pHpmue1NYvPWWCTIlJZwo6expJsE7lXYjspyQQMA+vvUYRPnj3sdzfMTUhfayrliTyAvTH
r7VW2E3CtKhBXOCD1+tUhpEioondVyMfexkmpJFcjy4sgsCQ5HSrk2g6nb6Vb6o0I8i5OVdGJwP9
riqaT7JMbR+8Qqd3btmqlFp6jadwWCUx5YHy8Zyfbvmrtrpt5dxjybeeYnjci07R7M6jci3FykfH
zSO2K7nRp9Q0zTrmCz1cW2lJKSl0Vw8jDPCjv+lJK44xu9TnPDd7YeH7yd9Ts5pLwArEG42Z7kEc
4rpNe8XtcB4ESFII4toaNFzMx7kgVyevXM8t48ksy3F1Ifnlfn5SOPxxS6Rqs0jRaRd3bQ2DvmRg
OQKNdrjTfw3NjSNQvbXxBFrdvdRRMVLGO5cDco6jNbfiz4q3+oAW+kzJbw7QJGUZff3wfSuS1ZY9
Z106X4fsTHbxNsV2ILNjjJNdd/Y3hTwrpROrNHd35Te0THPPoPStqdOTTtoiuZwXKjmNP8eahYRz
3iTzvqskgyxfK7e4I/Kuq8L/ABguLKIx6yr3fmTcSrxtXmvOtSlt9R1DNlZrbRvgKgbOT61TvNPk
SRVlhlGGz07jtms+Zp6MUask9GfRS/E7QZrCS6W9WNVO3Yw+c/hUlv8AEbwvDJbwnU1bzwW8wn5U
6dT26183MzFiEO05GN3pUQd2nAeMKSPlbdn64pRk73Y41ZX5mfUsXjjS5tUFmhLrIypDLGdwkJGe
Pb3rQ1/xDY+HLA3V9JtBB2KOrEDpXzVolzJZXNnfxahFG1q24ROSCQPw4zXcah8R7HX40Gu2ki2p
+5DA+4MwPU5xitVUOhV9Gbnh3XPGPi/WPtMDtY6Z5ZIfy8oWB6AmvRdKtb+3817++Fw8m3Cqu1U4
5xXgcXjPxNruoJYaE72saAhIbcbRj3/Kut8Bz+KNK8SG31dpJo7iIzTtLktGoGRz+VEZBTqK/U9h
orE07xLDqMtukdpdKJ9+12QbQFOMk574rbrU6E77BRRRQMKKKKACiiigAooooAKKKKACiiigArkv
E/gnQtfvUu76Ii4CbNyEjd6ZxXW0x4kdgzKCR0qZptWRFSLlGyPnjxR8Oh4YmMwmuJLIqcOVLbW7
A+3vXO+HNBfxDq32SG8it2IyGmU4NfR/iq8toNBvRcpKYvKOXSPcB+NeCyan4b02wRrW3ununc72
lkwAPbAFYOHK9Wcc6ShLVjrnSbDSluLU3om8uTbI8RBX6gH8ayLrT7eO5+zpMt1Arf6yNDtP1IFV
W1TbDOLOJNsvGcZPH1+tRW97cxWZjjdgW5OBwfepbRi2i9FoYvppJdPDBE+SVmUso5456j8ayNR0
65sLkwXi+VIDlcc5B/Spo7y4iR44tyK5+bD4DGkt7xGdvtyG5ynAZ+T/APWFILnUeCfFkWjBrDUY
3l0+fgqw3iM/StW/8B2+srPfeHr23lRskRt/Cf7vHT8a85SJvJ86NW2btpZ+g9q3/CniSTw1qv2j
a72pB3xq2A/FdEKidoVNh6dTPHl2hk0+W1aG8gZt0h53DjAx+daWo+JZ7vToLSOBIYokUH5RtyMc
gdj6muwuLLwf4wvH1M37WdwyAyxswVh6Hn8axtX0nwdGsVnaatK92fuy8PHn3IxiiVBrWLVgu+hx
Ud7CZjJMyl87wAv3jnitW1tJvEetMRPaWu1MvkrGEH04/Ssy7glsLqS3njUFD1I56cY9qn02NvOW
cxCTYcsrdx747VirJ6iOjvdXtNDtv7J0ExyOxPnXhjGWPXAOOlZkmh6rdWlrfSxmVb1/KjkZs7jn
HQ13/g7wtomq6fc3spW5v2iLC0Q7Vjyccdema2przStHsrG3tJdOu7axRmlilm/exvyW244/StHe
W5uqbesmcJ4S8CX+r3LP5AlgRzH54YDymHcY616LYeA/sbIdbv7SSVt6oDwrls5OD369KxB4q0/w
lcxDTo/sYu41nmjlzKOScYAIwetaOreORroij0nT1ug6MIvMjO4vnGVwfQmhKKRpBQitdzhvE1l4
estPk063mil1OCR98iowJXqFBIwTXJjw/qj2DailnI1qvV9vQ+teoWHwte1k/tjX7tI7eP8AfPEB
kgdSCc1u+M9AgfwxpelaVI8cE06jeOdy4PXFTy9XoZ+zbvJ6HjPhvw9/bsska38UDsoCLKSS5PRR
/jXpOn/A/NvE15dBZmVvMCMRt446cGodW+HOteHry11TQYEuTCA3lkfdOP7vU03QfiZfRa0sV3G0
cMZIuIS3LOfTPQDjilGy+IUFFP30dR4T8Ox+DNaW2a1SeS6dgt2OSqDHX06139zu+zyvbRRSzlcB
Tj5vYmokhtb2zWaAKRImUcHOM96ZomnS6Zp6wXFybmbcWaUjGcmuhK2iOyMeVWWxdgXZbxqY1jO0
ZRegPcCpKKKZYUUUUAFFFFABRRRQAUUUUAFFFFABRRSEkds0ALXPeMPEFloWiyG5neOWZSkIj+8W
9j2rfJY9Bj61578WY1i8KBng87EoJbuo+vapm2kZ1JOMbo8vm8W63p2m3GmT3sqROclW+djntnNc
dIzSXIDFj7+lPnkXepR2JPrzmn2dt5rLGMIz8DecZyccntXNe55zk2Qgecy4XBU8tXSP4UtItMt7
h9SgW5lHyQQsSWz04xwao3FsUt/scPlO0RJZ05P59/wqC0t7lL5v3iwSQruBPX2980hLQp3lv5Dm
CRJFlVvmDemP51e0bR59ZultYPLSTOV3NgAd81SuVeWRnlkdpnf53ZiSfXrzXWJZxeG/CUt5dLt1
C/OyEZwUQdW/HI/KmlcpK/ojN1SdtPebT1eyuUZcPJEuQfpkDmucUsEG2NQEPc4FSMxklYHqP4tu
M1JHOYZkdkUorAkP3HpSJuJFbySQnEgiJGeO57DNa1jYxWlrLe6gQG2nyUxkO+ccn0HJz7V0PhHw
zc+JLt5dnk6bGN0r7RgfTPWuk8L+D7TxRZ3UTzSyWtsDHamaPbgk/e4HPGfzqoxbNIU5PU8+0DQF
1iS5u7kTpZwIZWaNc5I9PyrGmmjhkeFUEqHhATsP6Zr3/wAV6P8A2d4Pt9C0Uwm5yqmFZBG8ozz3
B9a8Av4kgvZEkTY0bEFO4NOUeUqpDksi95uradZw3MLT2sT5j81ONw64/Sqb3z3Mzs8jvJjJZuNx
rWNxc3+mW8N7erHbo+yIHpx3wKuWHg241y6EOjs9w4yWfaUiQY9TjmlZsizasjnri+ub6OEXLcxI
EXI/hHQfrXsPwf0G0tlOo3qSjUZATCkqkBEz1FZmg/DC/wBJ1ODUNSsmvo4tpMAdcFj3684/rXty
RxqFKxqpAwMAcD0rSnDqzoo0mnzMSaGO4heGZFeNwVZWGQRXOeKPDFrqdnbyi5Nn9iO5Co+UD0Ir
p6bJGJUKMAVPUEZBrVpM6ZRTVmZ+kXd5drL9ptwkakCKUHiVcfex2rlfE/hzw5b67pmoT2C/aJ7l
UJU7VJyOW9a7G/jvPsJTTXiinGNhkX5QPTFcJ4l8F3fiaOadvEDi6hxmCF/3cbAeg79+aUtrEzWl
rXO4juJU1BLOKzItBFuE6kbQf7uKvVy/gCczeE7bfNLLIhKM0v3siuoqkVF3VwooooKCiiigAooo
oAKKKKACiiigAooooAKKKQjKkZxmgDmfGni218MaLLKWD3TqVhjVgCW9a8Nu9T8S6vo8l7fXkzwR
uSElIGc9Mcc9Kf44g+x+Mb+2DySKj7xvPOSM/wBa5y+nSTyvs7PtEYDqR0OT+YrnnNt2PPq1XJtM
puSAoGMtwBnmn27MJQo28nBJbH+RUewtIDwjJ1zya29C0qO+uoftMjrAZcMUQHC4yT1rMxXY6m20
zTY/Cdzqum37Wd/ATuhd1dX4GSvFYPhu7L3Fzc3Fqt0XIO5+GD5yDj0rtNf1HwVp3hWOyshHdXy/
u1dovmX3b864uyMo1uK48OrMxiYNIwGP0GeKuW6Np6NHVXHhbUdMvrXWJ442+0nzGl8vdHEpHQr6
1yXjjVG1bX2kSWJ41ASMxqVU47gZNeg+LvHetaJa21pLNAZ503usaZ2KRwDnH1/GvIJH86cbivzk
n2BonZaIKtl7sSEsVf5ZAR/d/wAKunTzLaNKwZF2Eg4yWPtWlrXhsaV4d0+/FzHK105QqnIGP/1V
1/wkee/1f7O8cUsEULIQ46qSc/zpKOtmRGn7yTOEt9Q1KGEW8F1LFG3AjRsA/WvWPh5aeK9IvLX7
RZMdPuV2sTkbBjIY/l+tc/4j+HN0mrXr6RZXQKPvRmA27fY5r034fXes3OimPV4mVoSI0Z/vOB3N
XCLT1NqUGp2lcr+J9V0qxDaxZ2cd7fwMUaTJxGAPmBPbivCbpm8W+KvI0zS0hMpwgV8gnvXtmu6R
4pkvb6zso7WbTb3OfMP3Mrj0/GvHtKjvfDvja0haJ5poJvnjjwGPsKJu7HVbbSex0U/wq8QRWauE
jlEgLNGBkxdwB71634d019O8FQWzW2ZxAQyBfLZjzx7VdsUtQJrOF7mKaZPObeTuTd6H8a1LeIwW
6RGRpCoxvc5J+taRglsbU6SjsRafF5NhDH5bR7V+4zbiPx70slnHJex3RZw8alQob5Tn1FWKKs1s
QzXcEEsUUsqo8p2xgn7x9qkfdsbZjdjjPrQ0aOysygspypI6U6gZXszdfZEN4IxPj5hH0rI1LUbO
1iuILVI2vrhWKxb9rSNjHH5VtyxmQbd5CnqB3rBtfBGh2mofbY7YmQNvAY5AbOc/WjoRLm2Rx/gH
TfERv9QF6tzp0DMrxrt4PXIya9So6UUkrDhHlVgoooplBRRRQAUUUUAFFFFABRRRQAUUUUAFQ3d3
DY2ktzO4SKJSzEnsKmrD8YWcd94T1GCRyimEncDjGOaGJuyufOHi3Xl1vxVd38KuIpWwh5AwBgH9
KyI0eSTYpzuwo5HX2NIQTJkRgbeMnuM1GAZZ2CE4HJA4x6c1xt3Z5TfM7lie1e3aW3mYeeG5xg4/
EdaZHPPakmJ3iY/xLIVz+RrYtdAuDDBqdxIq2kpCNcL83lE9iKh1DRHsGnEs0ZRWwhK4L5GRgZ9x
Tsx8r3GafMt5LHaywq4nlUvLuO8eoNe1xR+FfhddPP50ubwY2Abyg6/WvBobv7OQqAMGGQeu33Fb
Ws68mpabZ2srtNcQgl53Pzem36c1UZWNKc1FN21I/GfiAa34ovL6CRpIWKlcp91cAY6VU0nS5Nb1
SCwiZI3mcAE4GPxqoLdiyEq5D/dyMbvx+te3aB4H0fw3pcev3kpKi3DbJOqv6g0JczuKMHUlc5Px
1Podl4bg8O2IkF3ZScvtIVmwdx596d8P/FWq6XFDp9joUdw0hGbhYSCVJ6kjjHWsa90W81jVoHkM
93JOfMkhiX54kJ4J/MV6/wCEv7L0qwjtbGANJDmFpHfaxOc4/WqjdyubQUpSutDZ0yLV7vSLiLUL
tYrt3JRogMxr24/Ort5botnAbq+eIQMrNLvCbz05+tOsLWKOe4uhbGGaYgud5bdVuaCK4iMUyK6H
qrdK2OpLSwRTRTxiSGVJEPRkYEfpXFaV4Cs7fxNLql5bvJcpJ5sdx5nDE9tue39a7S3tobSERQRi
OMEkKKloavuDina4YGc45oooplBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAVwnxGvNXXTZLS1hhSzlUK88j45JHA4ooqZbEVPhZ4Nq+i32gziO4hWMy/MpRg27jrwapRiSG
SOQD5uoAbjj/APXRRXNLRnm1PdlZHUzeNpp/Dh0dLKMRvL5ryF9ztz7jj61ia1qtzqksTymQJEoj
jV23bR0xRRSu2DnJ7mYpBLqOPat7wnoMWt63BBOsgizywBJ46KfTNFFNbhFe8ket+IPAl/rOhQ2t
pb29glpl4oUblz3yccZresvDlxfeH9MsL4sbWMZnhnGXJHTB59/zoorp5UeioK5saV4ftdKu7m5Q
75JjgErjYvZR7Vn+J/CFjrOm3ESRpBNI4k85V5DDv+lFFOysVyq1i94c0SbRNPEE+p3F+xx+8mPT
2HNbNFFNaDSsFFFFAwooooAKKKKACiiigAooooAKKKKACiiigAooooA//9k=</Data>
    </Thumbnail>
  </Binary>
</metadata>
