-=[ Mr. Bumblebee ]=-
_Indonesia_
%PDF-1.5
%
1 0 obj
<</Metadata 2 0 R/OCProperties<</D<</ON[5 0 R 32 0 R 58 0 R 85 0 R 113 0 R 145 0 R 177 0 R 208 0 R]/Order 209 0 R/RBGroups[]>>/OCGs[5 0 R 32 0 R 58 0 R 85 0 R 113 0 R 145 0 R 177 0 R 208 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<</Length 72133/Subtype/XML/Type/Metadata>>stream
<?xpacket begin="" id="W5M0MpCehiHzreSzNTczkc9d"?>
<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.3-c011 66.145661, 2012/02/06-14:56:27 ">
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description rdf:about=""
xmlns:dc="http://purl.org/dc/elements/1.1/">
<dc:format>application/pdf</dc:format>
<dc:title>
<rdf:Alt>
<rdf:li xml:lang="x-default">geosakas 1995</rdf:li>
</rdf:Alt>
</dc:title>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmp="http://ns.adobe.com/xap/1.0/"
xmlns:xmpGImg="http://ns.adobe.com/xap/1.0/g/img/">
<xmp:MetadataDate>2015-04-27T19:59:23+09:00</xmp:MetadataDate>
<xmp:ModifyDate>2015-04-27T19:59:23+09:00</xmp:ModifyDate>
<xmp:CreateDate>2015-04-24T10:18:32+10:00</xmp:CreateDate>
<xmp:CreatorTool>Adobe Illustrator CS6 (Windows)</xmp:CreatorTool>
<xmp:Thumbnails>
<rdf:Alt>
<rdf:li rdf:parseType="Resource">
<xmpGImg:width>236</xmpGImg:width>
<xmpGImg:height>256</xmpGImg:height>
<xmpGImg:format>JPEG</xmpGImg:format>
<xmpGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgBAADsAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE
1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ
qbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUEBQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEy
obHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PSNeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp
0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo
+DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/aAAwDAQACEQMRAD8A9U4q7FXYq7FXYq7FXYq7
FXYq7FXYq7FXYql2v+YdI0DTn1DVJxBbpso6u7dkRerMf89sqzZo443JydJpMmomIYxZ/HN89edP
zL8w+aNQBszLZ6faMZra2hJ5j09/WlZf2h18F/HOd1OrnlPcByD6L2b2Lh0sPVUpy2JPn0H43eg/
lv8AnHBqXpaT5ikWDUNkgvjRY5j0Afsjn7j7d9ho+0b9M+ff+t53tn2dOK8mEXDrHqPd3j7Xqubd
5N2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KsR88/mVonlWA
xuwu9VYVhsI2FRXo0p34L+J7DMLVa2OLbnLu/W7jsvsXLqzY9OP+d+rveIN/i/8AMTW2ubh6xRV5
zNVLW1j60UfR8z38c0ojl1M/xQe3nk0vZeGhz7v4pH8fAJJr350aB5JmXR/IlvDqs8br+ltbuQWS
fifiig4kfAenIHj4cvtZvdNpI4htz73gu0e1cuqncjURyj0H7fNN7W38s+ftPk1nyYRb6nEvPUvL
jkCSM92h6Bkr0pt8j8Oa/V9nfxY/l+r9T0PY/tJVY8526S/4r9fzZJ5B/N/UdCdNI8xCS40+M+ms
rAm4t6bUIO7KPA7jt4ZRpdfLH6Zbx+0Od2r7PQ1A8TBQmf8ASy/V9z3XT9RsdRs472xnS5tZhWOa
M1Uj/PqM30JxmLibDwWbDPHIxmKkERk2t2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2Ku
xV2KuxV2KqV3d2tnbyXN3MkFvEOUk0jBUUeJJ2yMpCIsmgzx45TkIxFk9A8b89fnkXEmn+VqqN1k
1RxQn/jCh6f6zfd3zTartMnbH8/1PZ9l+zFVPUf6X9f6gwi38tW9tYSeZ/PF+dM0knmWmYm7unbf
iimrkt8qnr03ynTaCWT1S2j9pcztP2gxaceHhqUh/pY/juDzX8xfzkvvMFsdA8vwfoXynHVVs49p
bgfzXDA7168K/Mt1zfY8cYCoig8Fn1E8szOZ4pF5tk2lGaRrGqaNqMOpaXdSWd9btyhuIjxYHuPc
EbEHYjrir3Xy3+YnlP8AMKKOw8ytFoXm4KEg1VQFtbtgKASdkc+5/wBU/s5g6rQxy7jaX45u87K7
cy6U8P1Y/wCb+pN7HU/O35c6uUoY4pDV4Hq9rcKP2l6b07ijDv4ZphLLpp933F7SePSdp4rG5HX+
KP4+T23yV+Znl/zTGsUb/VNUp8dhKw5GnUxtsHHy39s3Wm10Mu3KXd+p4jtLsXNpTZ9UP5w/T3Mu
zNdO7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FWBeb/AM4vLOhB7eycapqK1HpQ
N+6Rv+LJdx9C1PyzXajtGENo+o/Y9B2f7O589Sl+7h58/gP1vIr3VPPf5ial6fxSwoarBHWO0hHi
e1fdqt4ZqTLLqJd/3B66OLR9mY7Ox7+cpfj5JXrnnHyH+XYaG1MXmjzfHtQGtjaOP5mH22U9h8W3
7GbbTdnRhvL1S+x5PtT2iy6i4w9GP7T7z+j73inmzzl5i82ao2pa5dtczmoij6RRL/JEg2Vf1998
2LziceT/AMrte8wWjatdSR6L5ah3uNcvz6cAWtD6QNDK3YBdq7VGKaZD/j/yD5N/0DyZocGuO3wa
jretx+obhDs8cEG3pRt4nc9weuK20fKPkPz6vr+SrgaF5jbeTytfyfuZW8LK5alSeyN/woGKvO9Z
0PV9E1CXTtWtJbK9hNHgmUq3sR2KnsRscUPQfIf53ajpNomg+aYD5g8smiCGU1ubdRsDBITvxHRS
f9UrleTFGYqQsN+n1OTDMTgTGQeiDyvp2s2P6e8h6gNVsko8loDxvbZuoVk2aoptsD4V65o9R2bK
G8Nx9r3PZ3tLjyjgz1GXf/Cff3fcyXyf+dus6Uy2HmKN7+1jPAz9LqOhoeXKgkp/lUPvjp+0pw2n
6h9qe0fZnFm9eA8Ej0/hP6vu8ns+geZ9C8wWoudJu0uU/bQGkiHwdDRl+kZusOeGQXEvFavQ5dPL
hyRMfu+BTTLnEdirsVdirsVdirsVdirsVdirsVdirsVdirsVUrq7tLSBp7uaO3gT7csrBEHzZiBk
ZTERZNBnjxymaiCT5PPvMn54+VdNDxaYH1a6GwMf7uAH3kYb/wCxU/PNdm7ThH6fUfseh0fsxqMu
+T93Hz3Py/W8w1Xzt+YPne5eztvU+rtsbCyBSIKf9+tWpH+u1M1k9RmzmvsH4+96jD2dotBHjlV/
zpc/h+wWgNR0/wAj+So/X866ms+oABo/L9gwknY9QJWBHEH3KjwY5mafsvrk+QdP2h7VE+nAK/pH
9A/X8nm/nb87/Meu2raRo8SeX/Lu6iws/heRT/v6UBS1e4WgPeubeGOMRQFB4/NnnklxTJlI9S84
ybU9M/JyL8snuZ/8Rsh8wCv6Hi1M8NJL0+D12SrV5defw08TikIH83ZfzNOsrF50V4olr+jooRTT
wg2H1Xh8BAWn+VT7WKlIPJGg6Zreti01Sa8trBYnknurK1a7aIL+3KinksS9WYA/LuFQmnm/8r/M
Plu3j1a3ePV/LsvxWmu2B9SAiu3PjUxNXb4tq7AnFaTLRvzYS90+PQvP9h/iTRkHGC8Y8dStQf2o
bjYvT+Vzv0JptitsF1caUNTuRpBnbTPUb6mboIJ/T/Z9QISvL5YoVdC8wa1oOox6jo95LY3sX2Zo
moSP5WHRlPdWBBxV7Hov5z+UvNEaWnn6y+oalQKnmKwU0OwAM8Qqe3Uch4BcxNRooZdzse923Z/b
GfS7RNx/mnl+xkT+Ute01I9d8r341Ww+1BqWmSVcDvyVCWHuBX3zTZdFlxGxuO8PZ6XtzS6uPBkA
iT0ly+B5fcyjyz+fOsWfG38wWwv4l2NzEBHOPmuyN/wuW4O1Jx2n6h9ria32Vxz9WE8B7juP1j7X
qvl7z/5S18Kun6hH9Yb/AI9ZT6U1fAI1OX+xrm1w6zHk5Hd5PV9k6jT/AFxNd43Hz/WyHMp1zsVd
irsVdirsVdirsVQd3rejWUpivL+3tpQORjmlSNuJ70Yg02yuWaETRIHxb8emyzFxjKQ8gSl8nnry
XGKtrtgR/k3MTH7lY5A6rEP4h83IHZeqP+Tn/pSld5+bn5fWoPLVVlbssMcslfpVeP45TLtDCOv2
Fysfs/rJ/wAFe8gfpY5qX/OQPl2Hkun6fc3bjo0hSBD9NZG/4XMafa0f4QT9n63ZYfZLMfrlGPus
/q+9h+q/np5zv29HTYoLAOaJ6SetLv2rJyX7kzDydp5ZcqDucHsvpce8yZ+80Ps/WlH+FfzB8yOb
3VWmSFQWa71KUxoijqQr/EB8lplcdLmymyD7y3z7V0GkHDDh90Bf28vmUr1HWPyh8qcv0lqr+ZtT
T/jw0z+4DeDzg8euxo9f8nNhh7KiN5m3n9Z7V5Z7YgIDv5n9TCfM/wCf3mzULdtO8vxReWdJ3CwW
ApOQf556Ka+6Bc2cMcYCoig8xmzzyS4pkyPm8ykkkkkaSRi8jks7sSSSepJOTaluKuxVtVZmCqCz
MaKo3JJ7DFX0R+UflrzdbWEGk+ebm1j8samrJYeV9WKPdzuAeP1WORkaCh6b/wCx3DYGSa3cF/a2
9vpP5bXdp5IlsWE2taRq0QgvSqMT9YkuJTcLcQKu/wALEU/aNeIVbs/zN/LS2v8AUdK0rUbay8w6
lbLBda99WkTRJ7ulGdrb1eAJ/wB+laeLMNirbwbzx5G81eWdQZ9ZtVWC7dpLa/tQpspw/wAVYGjC
oAQahaCg7DCghjOKHYq7FU58secfM3le8+uaFqEtjKaeoqGsb07SRtVH/wBkMVt6rpn55eVdeVYf
PehCO6Ox1rSvgkrSnKSJjv4k1b2XMXNo8eTmN+8O00XbGo0+0JenuO4/Z8GS2vk3RvMERuPJev2m
sJTkbN29G6Uf5UbUP0sFzV5ey5j6Tf2PVaT2sxy2yxMT3jcfr+9FQeZvzQ8nsI5pbqG3U0EV0vrw
H2Vm5KB/qNmMMufDtuPfyc86Ts/Wi48JP9HY/L9YZVpP/OQt4oVdW0lJf5pbWQx/8I4f/iWZcO1p
D6o26vP7IxP93Mj+sL+0V9zK7D88/ItyB9YkubI9/WhLCv8AzxMuZcO1MR52HU5fZfVx5CMvcf10
ntt+ZHkS4FY9btVr/vx/S/5OBcvjrsJ/icCfY2rjzxy+/wC5GxecPKUrcYtbsJGAqQt1CTT6Gyz8
zj/nR+YaJdn6gc8c/wDSn9SZ29zbXMKz20qTwvXhLGwdTQ0NGWo6jLIyEhYNhxZwlE1IUVTJMXYq
+dPz0Zj57cE1C2sIX2HxH+Oc32l/fH4PpHsuP8E/zigNS8haJpE7W+t+btK065QB2t5ZVWXgejCN
2RzXttlw7Jn1IcOXtdi6Ql8wlckn5O2PI33nUXJX/ddnaysSR2DKJV38ctj2SOsvscXJ7Xy/hxge
+V/oCX3H5m/kppikWWlaprk6n4WuXW3ib6UYN98eZMOzMQ52fx5Otze02rnyIj7h+u0nv/8AnI3X
IUeLyvoenaBG2wmSP17gfN2CI30xnMvHghD6QA6fPrMuX65Sl7y8+8xeefN/mNy2t6vc3yk8hDJI
RCCe6wrxjX6Fy1xrSPFXYq7FXYq7FXpf5PeefJ3lue4j1iw+ralcBlsfM6ILmSzLCgb6vIGWinfk
g5dt8UhCfmL5H85QSN5ouNQ/xPo92ecfmO2czJSuyyipMJWtOJ+EdAcVLJ/y51fzp5y0qTRtf8uy
ecvLdqppeSERXlqR/wAs13IU5v8A8V8qnYVC4qEl8y/kzO0NxqXkq4fW7G2P+m6VIhi1Wyb/AH3P
bEBmp4qN+wpvjakJH5Q/M7zD5at5NJmSPVvL03w3ehX6+pAwrvw5VMTV3+HvuQcVtjOr3Vld6nc3
NjZrp9nLIWgsVd5REh6Jzf4mp4nFCExV2KuxV2KropZYZFlido5UNUdCVYEdwRuMVZ75e/Pb8zNF
URDVTqNqOttqKi5UjpQu372nsHxISJEMrtfz48pagAvmXyZD6p3ku9MlMBJ8fT+H8ZMxZ6LFLnEf
DZ2eDtnVYvpyS+Pq+9NLfzV+RGpGq6pqeis3RLqD1VBPb9ys34tmJLsqB5Eh22L2s1A+qMZfMI2D
Sfy4vN7Lz7pwDfZW6X6sQOu5lde3tlMuyT0l9jnQ9rx/Fj+Uv2KXmLymuk6fZ6lb6la6pp98zrb3
Vm3qRt6exo4qp3qNj2zC1OklhqyN3d9l9sw1hIjExMe979+Ucvq/l3o7UpRZlp/qXEi/wzd9n/3M
fj95eG9oI1rcnw/3IZfma6Z2Kvm787CT+YF4CagRQAe37oHOZ7Q/vpfD7n0z2Z/xOPvl97y//nJT
/wAmpef8w1t/ybzpnzMvLcUOxV2KuxV2KuxV2KuxV2KozSNG1XWL+LT9KtJb29mNI4IVLsfE7dAO
5OwxV7D5YbT/AMnjNc6/rMl7rs8ZWTyfpsivBVlIH1+Rg8YIB6KOQ6jkDilbrf5g+XfPXl63jg1m
XyNqmip6trpSFhpcrRksHia2RZElH7NVNOig7nAlLfL35y2+oPBb+dln+uQr6Nn5u0tvq+qW6mop
IyUEyb7g++zHDSLSLzf+V2tWVo/mPR7xfNHlydjI2s2hLupb4m+tREtJG/8ANXp3IO2K0wPFDsVd
irsVdirsVdirsVdirsVfQml/+SI8n/8AMRe/9RU+ajtflH4vXeyH97P+r+l75+Tv/kuNI/6OP+oq
XMrs/wDuY/H7y632i/x2f+b/ALmLM8zXSOxV83fnYCPzAvCRQGKAj3/dAZzPaH99L4fc+mezP+Jx
98vveX/85Kf+TUvP+Ya2/wCTedM+Zl5bih2KuxV2KuxV2KuxV2KuxV6B+WX5ry+T4rvTLmxW60fU
qrePbn6tfIGHHlFcx8X+HqFY/IrUnFNonV/yrt9Yspte/LzUG8waev7y60uSi6pbct6SQ/7tH+Un
XsD1xWnm7o6OyOpV1JVlYUII2IIOKE78p+SvMvmvUPqOh2T3Ui7zS/ZhiX+aSRqKo+Z37YrT0fSP
MXlL8pBP+idQbzP5umQxXAt5Hj0eD2biVNyy/d/qkYpeT6vqlxqup3Oo3CRRz3TmSRLeJIYgT/LH
GFUfx6nfFCExV2KuxV2KuxV2KuxV2KuxV9CaX/5Ijyf/AMxF7/1FT5qO1+Ufi9d7If3s/wCr+l75
+Tv/AJLjSP8Ao4/6ipcyuz/7mPx+8ut9ov8AHZ/5v+5izPM10jsVfOv56Kw89sSKBrWEr7j4h/DO
b7SH74/B9I9lz/gn+cXlf/OS0YH5mNNX/eixtpePhsy0/wCFzo4mxb5xMUaeVYWLsVdirsVeo+df
y3Oj/k/5S8wpDS4uZJZdScDcrfKslsT/AJKxxAfNvfFLy7FDsVdirsVdiqL0vVtT0m+iv9MupbO9
hNYriFijjx3HY9xir0ZfzH8i+aUEv5iaHJJq9uOS6xpHC3lu+HSK6j+FPj6c13Hbjim0m82fmrq+
r2H6D0e3j8veV49k0ixqocfzXEoo0zHatdj4V3xW2D4odirsVdirsVROmafdalqNrp1onqXV5MkE
CDu8jBVH3nFWf/nz5ItvKfnOG3sxSxu7K3lioKfHGvoSV92aLmf9bFJeb4odirsVdir6FgBT8l/J
KU4gm8bj0rWdzWn+yzTdrfw/H9D2XsgPXk90Xv8A+UcXpfl3o61rVZmr/r3EjfxzM7P/ALmPx+8u
n9oJXrcnw/3IZfma6Z2Kvn78/oSnnK1koaSWEZqelRLKCB+Gc92oP3vw/W+h+ycr00h3TP3ReV/8
5LqH82aHdClLjRLZmNKMzCWbdvoIze4TcInyDwWpjw5JDukfveQ5Y0PTvzv/AC1n8taymt2EbP5e
1mk0E3GgindeUkT02Wpqye2w+ycQkvMcUOxV933flXStd8hp5cvEpYXNjFAAvWPii+m6+8bKGHyx
S+KfN3lXVfKvmC70TU043Ns1FcfZkjO6SJ/ksN/w64oSbFXYq7FXYqyTy3+W/nnzIzDRtGuLlV+1
KwEMQ709WYxpX2ritKuqflb+Yul3S2t35dvvVc8UMMLXCM1aUWSH1EJ+RxWmT6n+WF15R/K+/wBc
8yKLXWdXlt7XS9PahkjiEgmkZ6Vo7LH0/ZHXc0Cl5fih2KuxV2KuxV7/AP8AOM/5ZSz3n+NtUhK2
0HKPRo3H95IarJPv+ygqq/5VT+zilF/85cQxcPK8+wlrep7lf3B/A/rxV864oXRRSzSpFEhklkYJ
GiglmZjQAAdSTir0r8yPy6l8leRPK8V8oGs6lPd3OoAGvp/BCI4a9D6a9f8AKJ6imKejzPFD6J1O
Iwflr5BgNa/UJZt9jSYxuNs0nax3iPe9x7IDbKf6v++fQ35bQ+l5E0RaAVtUeg/y6v8A8bZsNCKw
xeb7Zleryf1mSZlusdirw7/nIe346ro9xT+8gljrv/utwf8AmZmi7Wj6wfJ7v2Qn+7yR7iPtH7Hk
P/OQkJfTPI2odfX0s25YkGpt/Tr7/wC7c2ukN4o+4PJ9qx4dTkH9OX3vG8yHXvufyr+iPN35baSN
QhjvrHUdPgW6hlHJS6oFkG+/JZFNCNwRUYpeC/mV/wA42a3pMkuo+Ug+q6ZuzWB3u4h4KB/fL4U+
L2PXFaeKSxSwyvFKjRyxkq8bgqysDQgg7gjFD7S/JHzpaeaPIOnlZAdQ0yJLHUIa/ErxLxRz7SIo
avjUdsUqv5rflXpPnzRxG5W21q1UnTtQp9knf05abtGx+leo7gqvjbzB5f1fy/q9xpOrW7Wt9atx
lib8GU9GVhuCNiMUJfirsVTPy55k1jy5qceqaRKkF9FtHM8UU3GvdRMrgH3G+Kvon8nP+cg59d1I
aD5ueGG9nKrpt/GnpLLIagxy78VdtuBAAPTrSql7thV8uf8AORfkz8w11d9cvbqXWPLiFvqbooAs
kcglJIkAVegHqU+Kg5GtBgUvEMUOxV2KuxV6t+S/5K3nnG7TVtXR7byzA27bq92yneOI/wAn87j5
DfopfXFtbW9rbxW1tEsNvCojhhjAVERRRVVRsABir5K/5yQ862vmHzsmnWMglsdCja29RTVWuHYG
cr/q8VT5ripYJ5R8jeafNt99U0Kwe6KkCaf7MMQPeSVvhX5dT2BxRT6j/Kn8itE8l8NT1B11PzFT
a5p+5gr1ECnevi7b+AXfFLzb/nLLVkm8waFpKkE2drLcvTsbmQIAf+kfFS8HxQ+k/PC/VtI8oacd
mtNEtARvt8ATqf8AjHmg7VP7wf1f1voHslCsM5d86+QH630X5Ttvq3lbR7elDFZW6Ham4iUH8c3O
mFY4/wBUPF6+fFqMku+cvvTXLnEdiryT/nIe05aVo93T+5nlir/xlQN/zKzT9rR2ife9h7IZKyZI
98Qfkf2vF/zkha7/ACm8oagd/qd3c2bnwMnJlH/AwZldnSvCPK/vdT7Q4+HWT86P2B4fmc6R9Gf8
4w/mNbi2k8k6jMEmDvPozMdmDfFLAPcGrr41bFL6GwqxLzp+VfkjzgjNq+nqL0jiuo2/7q5Xw+MC
j07BwwwK8iT8nPzL/LfWjr3kW7TWrUClzp70illi+0UeMnhINtijBq9Bir1nyL+aGheauVkySaV5
hgFLzQ7wGO4RgKsUDBeajxAqO4GNqp/mh+Vui+e9IMM4W31eBT+j9SC1dD14PTdoyeq/SN8VfG3m
Xy1rPlrWbjR9Ytzb3tuaMp3VlP2XRv2lbscUJXirsVcCQQQaEbgjFX3H+Umv3ev/AJcaFql5IZbq
WAxzynq728jQFm929Op98UsruY5JLeWOJxHI6MqSMvMKxFASpI5U8MVfEH5oJrVr5rvNO1nTbHTr
61ejfo+3FvFKp3WVQOquN/7cQpYhih2KvYPyS/I+XzY6a9ryvD5bjb9xEDxe8dDQqD1WIEUZhuei
9yFL6pJ07S9PFTDY6dZxgVJWKGKJBQdaKqqBirx/zd+YnnDzws2gflhYzS2T8ob7zM4MEA7MlvI/
Ht1b7X8o6NiqG8lf84uaBYGO781XbatcijGygLRWoPgzbSyf8L7jFXtOn6bp+m2cdlp9tFZ2kQpF
bwIscaj2VQBiqnretaZomlXOq6nOttY2iGSaVz0A6AeLMdlA3J2xV8M+e/Nlz5s82ajr06+n9bk/
cxH/AHXCgCRJ8wiivvigpNZ2z3V3BbJ9ueRY1+bsFH68VD6W/NJRP51Fhbr/AHENvaxIK7VXko8f
92ZzfaJvMR3U+k+zY4NFxHkTI/o/Q+lYYkiiSJPsRqFX5KKDOjiKFPnEpWbK7Ch2KvP/AM8rL6x5
Dlmp/vHcwzfeTD/zNzXdqRvFfcXofZjJw6sD+dEj9P6HhfmiA6j+Q+rLWr6PqcF0q71CSFYf1ysc
r7Kl6CO4uR7WYq1EZfzofcS8AzavKq9gbv69b/U3aK79RPq8iNwZZOQ4EMCOJB74q998kf8AOS2p
aS/6F8+WMsk1qxhkv4l43KMnwkXEDcQzA9StD7E4pe1eXvzI8i+YQn6I1u1uJXpxt2f0p6n/AIpl
4Sf8LirJMKpJ5l8meW/MkcY1WzWS4g3tb2MmK6gYbhop0KyJQ77GnjgVBWjeZfLv7nUZX13RV2TU
QoF/AvQC4jjAW4Ud5IwG8UO7YpY9+c/5cWXnrymbzT1STWrGMz6Xcx0b1kpyaDkteSyD7H+VTtXF
D42IINDsR1GKHYqi9U0u80u8NneJ6dwscUrJWpUTRLKoPgwVxUdjtir6c/KvzjFoUP5f+RvhMmqa
bdXt0Nh6ZuGa6tTXxdQ+3uD4Ype14VeMf85MeQY9X8sL5ntI/wDcloopcEDeSzc/ED4+kx5DwHLA
r5UxQzv8m/y7PnfzfHZ3AYaRZL9Z1N1qCYwaLECOjSNt8qntiofYN7qFto9tBp2m2ZuLoRBbHS7b
igEaDiCzGiRRL05H5KC1FKySV/IkmuXCXnnO4XUxG3O30SLkumwkGoLRmjXLj+aXbwRcaVllvbwW
8CQW8awwRKFjijUKiqNgFUUAAxQtvL6ysoGuL24jtrdPtTTOsaD5sxAxV5x5s/5yG/LnQUkjtbs6
1fJULb2I5R8h05TmkXH3Ut8sVfPP5j/mT508+W51G9j+qeXLW4WG3s4SfRWaRXZeTGhlk4Iat0Hg
vLdVgGKGU/lZpp1H8x/Llrx5Kb+CV18UhcSv/wAKhxUPdyv6Y/OFEA5IdURWG26W7gN/wsZzmpev
Uf5/6X0vH+47L/5JfbIftfSedK+auxV2KpD580/9IeTNZtQOTNaSOi+Lxr6i/wDDKMxtZDixSHl9
27n9lZvD1OOX9Ifbs+evK1uuqeUvOehEFnu9LeeBP+LLYMU/4dlzV9kzqUh3j7v7XrPa7DePHPuJ
Hz/sfN+b14NwJBBBoRuCMVfWflex/Ln84/K1vqGsWMUnmG2jWDU5Ym9G6SZVC8y0fEsj0qnIFR07
HFKUap/zib5blYnS9cu7QHotxHHc0/4D6viqhafkP+a2hnj5d89NHCp+GJ2uIYzvtWJTOnTFU8s4
f+cmdGIEsuj+Y4wAOLERPT2YLab+7VxVkmm/mRr9u4h83eUdQ0YgDne2oGpWg23Z3tgzoP8AYmnc
42mmY6VLpc9t9b0yWOazuCZFeBg0RYk8mXjtUt9qnf3rih8V/nHo0Oj/AJneYbGEBYvrP1hFXoou
kW44j5erTFBRf5JeSh5r8/2VtOnPTrD/AE6/BFVaOFhxjNf9+SFVPtXFITb/AJyN8sahpf5jXupy
Qv8Ao7VxFPa3FKoWWJUkTl05BkJp1oRipT78h/KHmPX/ADxb+d9WVodMsqi3lkqizSekYYYYAeqR
LTpsOIXFX1DhVjvni6Sw0aTULlDPpMQMWtW255WM49OZ6DvDy9Q/5AYdTgKQ+IvM+ivofmHUdIdh
J9SneJJRuHQH4JFPg6UYfPFiX0z/AM4saTb23kO81FQPrN/fOsj9/TgRVRfoLOfpxS9C1jzZoXl+
VrZln1HWJF9RrCwha6vJNtmZIx8C/wApcqvhilimoeb/AM7NSB/w75Nh023aoS51e5jaQjx9CN0Z
D8+WKpDeeSP+ckNZUfXvNtlp0TH+6smeJ1Ff5oYEY+37w4oSn/oVzWdSm+s+YPOElzOd3PovOxr1
/eSzA/8AC4qyfQv+cY/y509kkvzd6tIu7JPKI4iR4JCI2p7FziryH8/fOXl7UNRsPK/ldIY9B0AS
A/VVCQvcyEB+HHZlQLTl3Jbr1xUvJ8UPVf8AnGywWb8x/wBIyGkWj2NzeOfmogp90xyM5cIJ7meO
BlIAcy9U/Jm2fUvzFW9koWt47i7f5uPT/XNnO9nRMswPdZfRvaOQxaLgHUxj+n9D6KzpHzd2KuxV
p0SRGRxyRwVZT3B2OAi9kg0bD5q8kBtC/Mr9HSmirPcWEle+7Kv3uq5zejPh5wD31+h9J7YH5js8
zH82M/x8LfO/mvRm0TzPq2kN/wAeF3NbqexWOQqrD5qAc6V80KVYqj9E17WdC1BNQ0e8lsb2PZZo
WKmndW7Mp7g7Yq9f0P8A5yq842aLFrOmWmphNmkQtazN48iPUjr8kGKbZLD/AM5baYV/f+W50bbZ
LpHHvuY0xVO9F/5yGvtbNNI8karfju8B5oPm4TiPpONpZvp3mfzzeKGk8nPZK24Nxf21encRiRh9
2K7JzYT3CyM8+ktZyzkNPNE0UqFqUBYoVkY9q8P7FXx/+fLzP+bXmBpRRvUhUbU+FbaJV/4UDFiX
s/8Aziv5cSz8oX+uuv8ApGqXPpRsR/ui2FBQ+8jvX5DFLPvO3nO00nWNA8umOKW98w3DRRfWByij
SNa8mHcs7Ki/OvahSkPnW+udQuta1C00fUkEOkAHzD551A+tK0oPE+hIwkeKMyDhBFB8b0qSR9kK
i/KX51nyxrqSy+YNa8x6bISt7FfxpxYU2aASXErxlTU9RUdRhXZ9Rn9H6vpX7Nzp2oQdd+MkM6fq
ZWxQ+FfOsNxa+YbnTbol7zSidOnmO/qfU2aCJh7CGNF+jEKX0v8A84zSzJ+V7MYXbjf3AiVQKuOK
Go5FV+1UdcVegT3+v23M6d5eV42Jdla5hgdnPUlVWRanx5YpY1rH5kedtJBaf8v9RnTqHtJ4Lqo/
1YObD6RjasMuf+cq9NtZmgufLN7BMmzRSSojD5qyg4oSu+/5y3JjZbHy1SQ14ST3dVHhVFiFf+Cx
V515y/Pb8wvNNvJaTXSadp0w4yWlipiDrShV5CWkYHuOVD4YrbzzFDsVe3fkba/o7yB5z8wMvxXI
h0u2foasD6oB+UyE/LMTXT4cUvl83bdh4PE1eMdxv/S7vX/+ceNMP+5jU2G37q2ib73kH/EM1/ZM
N5S+D0Htfm/u8fvP6B+l7Nm7eKdirsVdir5z/Nq0l0T8yW1CEU9cwX8HhyWgb/kpETnN66JhmJHv
/HxfSOwZjPoeA9OKB/HuLyr/AJyN0mO1/MM6pbgfVNdtIL6Jl6E8fSb6T6YY/POihISAI6vnOSBh
IxPMbPLckwdir3/8ntY/K7zdZW2hecNLsv8AEdoohtb6ZREbyIbIGkUpzlQUWjbsNxXfFNvbtL/L
T8v9LIax8vWEcg6StAkkg3rs8gZvxxpVTXfPvlDQZUtLy/jN+54QaZbA3F27fsolvCHkqeg2pjar
La884ayokjtV8v2L/Za6pPfsu2/oqfRhPhzeQ+KDFKFF7pkWsto9pdX2t66qhrwfWpEit0Y7Nc+i
Y7eEnsqR8z2Wm+BXlP8Azk3p35eAQXd1cSQecXiAhhtVWX1Yl2U3QZk4qDsr15ezAbFD0D/nH2SJ
/wAo9BEdBw+tK6g1owu5Sa/OtfpxVj3/ADkDoVzr02kW2lM0HmbTQ9/o3x+mbpQw+sRW7bVnhKRS
KtakHbfFXl2n6tpnnK8tvJnmLSbnQtavtRWfULzT1SJZ7nh6ZlurWYLwKLyYmNgASx4b4Eq2heeL
lPK3nceW4k0HSdMtbYabJaKEuuTXsaK892P3skkiVr8XHrQAYq+kvIQ1QeStDOrSPNqTWMD3ckpL
SGR4wzcy2/IVocIQ+WvzV0/y7F+eWsW2u3M9tpEk8Mt1NaRLJKBNbxSmisw7vu2/jxPTFX0xpiaD
ZeT9NbyxbPe+XYYa26adM6y+kalnQKyGV+VS6lg9a0BbbFK7S2/SenJqXlLzAZ7RqhIbsG8g5DZl
kLmO7RweoaX4f5e2KqVz+YC6I6x+b7CTR0ZuKapHW605yen79FDxE+E0a/M42tJ00flfzNYq7LY6
1YGvBiIbuGp60PxrihiXmH8uPyW0q0m1XWtH06wtUqZJWrClaV4oiFQSeyqKntir5Z/MbzZpnmDX
KaJYR6X5esgYtMsYkWMcSfjmkVdvUlIBY9aACppXFSxTFDsVfQ1nZDQvyb8saWQVudXkk1a591f+
6r843T7s1Ha2TaMfi9h7Jae8k8n82NfP+x7t+Tek/o/yHZMw4yXzyXcg/wBc8UP0xouZHZsOHEPP
d1vtHqPE1cu6NR/X9pLN8z3ROxV2KuxV5H/zkHo3qabpmsIu9vK1tMR/LKOaE+wKH780/a2PaMvg
9h7JampzxHqLHw/t+x49+bNkdc/KTQtcQcrny9cvp90QOkEwHAsfBeMaj/WzK7OycWIeWzq/aLTe
Fq5d0vV8+f228JzOdE7FV0ccksixxIXkc0RFBLEnsAMVeyeQ/wAkPzP8wW8X6Wv7rQdCYhjFPJJ6
zilPgtuQ47bVk4/I4pfQXkj8tPKHku24aPZgXTLSfUZ6SXMg6nlIQOI2+yoC+2KsM8z/AJnar5p8
wHyR+XEoe6NRq3mIDlDaQggOYWGzN25eP2d9wqyO+l8tflN+X1xcRBnS3BYGVqz3t7L0MjndnkYV
Y9lHgMVfJNvF5k/MDzskbyG61rWrj45GrxWu5O1eMcSDoOijFD6N/wCcctSt7az8yeUBK0j6Fqc3
1dpKK7W7sYweIJp8cTFqfzYhLPfP/kLSfOmhnTb1mt7iFxNYX8X97bzr9l13FR/Mtd/Y0IVeca15
M/N7TvL7aBp08nme9vE9FvMF89rELKGVSkqweozXTMyNxZy52+ytd8CUm8h+VPy4sdQtfJ175ksb
2ZbqO5v7OHn/AKffw1EUDyOoi9GAsQsSsTIxqafZxV9DZJD5C/MTy5eebPMv5ieZbFzKfLl5bxzw
D4uduFkt5JFP/FX1YGn8tfDAqa/844fma+i62vlTU5v9xOqP/oTOdobttgB4LN9n/Woe5xUPW/P3
lnzD5d1GXz15FSt99vzBoQBMOoRDrIqL0nQVNRu3zqGUsg8ifmD5Y8/aI01kVMvDhqOlT8WkiLCh
V1OzoezUofnUBQwnzv8A847aXeyy6n5Mu28vaq1WNvGzraSNWu3A8od/5ar/AJONK+efPPlDz9oN
5/ztVtdVqVivJnaeF/8AUmqyn5Vr44qWLYodiqYeXtGuNb13T9It/wC+1C4itkPgZHC8j7CtTir6
K8/BdR852+hactILJbfS7OMGqg7Cn0M/H6M5vXzOTNQ6bfj4vpPYGIafReJLrcz7v7A+krCzhsbG
2soBSG1iSGIeCxqFX8BnRQjwxAHR87y5DOZkeciT81fJNbsVdirsVSHz3of6c8panpqrymkhL24/
4tiPqR/eygZj6vFx4yHYdl6rwNRCfQHf3HYvn3ybax69ovmLybMR/uZs2az5GgF1B8UZ/wCCox/1
c1PZeWpmPf8Aoet9rNLxYo5R/CaPuP7fvfN0sUkMrxSqUljYo6HYhlNCD8jm+eBRWk6gmn38V1Ja
QX0cZ/eWl0paKRe6txKsPmpBxUPpT8uPzf8AySgt0K6Zb+VdTApJW35hjSh43MaMxFP5+OKWXat/
zkB+VenWxlXV/r0gFVt7SKSR29gWVEH+yYY2ry3VPPX5mfnBeNoflWxfSPLbNwvLok0KHr9YuAAK
U39KPc/5WKva/Inkby7+X3lprO1dVVQZ9S1OfjG0jKKl5GOyog+yK0Ue9SVXzH+eP5p/4219bbTn
YeXtNJWyBBX1pDs87Kd9+iA9B4EnFSyn/nFDQ4bnzNrOsyKGbTbaOCGv7L3bN8Q9+MDD6cVDWt39
5+V35/3GrXHIaLrUrz3DgEh7W9flMdu8M1Wp/kjxxV9OxSxyxpLE6yRSKGR1IKspFQQRsQRhVJfP
l3cWfkfzFd2zmO4t9MvJYZFNCrpbuysCPAjAr4MhmlhlSaJzHLGweN1NGVlNQQR3BxQ+5PMnniDQ
fy7fzVdcRJ9SjmhhP7dxOg9KPt1dhWnapxZMC/5xv8pzL5K1XVtXQynzRK3OOT/dtsgZOTd/3jyS
fRv3xQ+Y9b06XSNdv9NYkS6fdTWxboeUMhSv3rih9a/kf+bFv5y0RNO1GVV8y6egW5QkA3Ea7C4Q
dz/vzwb2IxSx38zPye13TdaPnj8t3az1aMmW802Ci+oTuzwqfhbl+3Edm7b7FVryf/zk3pZpp3ne
xl0nUoT6c11FG7Q8h1MkO8sZ9gG+jFWaXX52flG9m/r69bzQOvxwmKWQspHQx+mSflTFXz3+aX5g
/l5q7SWvlDytaWXOom1Z4EikYHY+lDH8C1/nbf2B3xW3l+KHrH/OOmjRP5qvvNF2v+geWrSS4ZqV
BnlVkjX58PUI9wMhlyCETI9G7T4TlyRgOcjT1L8n9Nn1z8wDqlyOQtPVvp2psZZCQg/4J+Q+Wc/o
IHJms9N30L2hzDT6Pw4/xVEe4fsFfF9E50b5w7FXYq7FXYq7FXzX5wtJfJn5mPcwKVgWdb23Ubco
ZiS6D2+2mczmicGex0Nj8fY+l6CQ12g4Tz4eE+8cj9xeTfn15Yj0bz9cXtqAdM15F1Ozdfsn1t5R
/wAjKtTwIzpYyBFjkXzbJAxkQeY2ec4WDsVdir0Dy1+e35leX7SOyttSF1ZxCkUN5Gs3EUpQOaSU
9uWKbQHnH83PPnm63+qavqJ+oV5Gyt1WGInqOYT4np25k4oth6I7uqICzsQFUbkk7ADFX0n+Q1kn
k78yvNvkm5kBuHjgmt3bZnWAFwB0BPp3QO3hXpil6l+ZP5c6P560E6den0buEmTT79VDPDIRv4VR
qDmtd/mAcVYh+TPmHWNFvbj8s/NdE1nSV9TSJy1UurLqBGxpy4fs9+O1BwOKvUNX02HVNJvdMmJE
N9by20pHULMhRvwbFXwdb+WdSl80L5bdPSvxdmymDbCN0fhIzE0AVKEknsMVp9LPojfmzrVqzepD
+WegvwsxUq2qXEX7tnXoRClCnLr1puTwUvXybLTrAk8Laxs4q7ALHHFEvgNgqqMUPiPzFpM+r6Nq
/wCYFT9Xv9emtgm3wtMjXTFgB/lqB9OKsXsb+9sLyK9sZ5La7gYPDcRMUdGHdWWhGKHpNr/zkj+a
cFn9Xa9t53AotzLbxmUU/wBXih+lcU2wjzP5x8y+aL0XuvX8l9Ouyc6KiA9kjQKi/QMUJNirsVdi
r6D8vab/AIV/J2wtGXhqfmqX6/dVFGFsnH0Vr1oQEYf6zZqu1MtQEf536HqvZXR8ec5DygPtP7Le
0/kZ5e/R/lRtSlWlxqsnqAkb+jHVIx9/JvpyXZeLhhxfzmv2o1fiajgHLGPtPP8AQ9HzZvNOxV2K
uxV2KuxV5b+fXls3mh22twJWbTn9O4I6mCUgV/2L0+85qe1cNxEx0er9ldbwZTiPKfL3j9Y+5495
y0s+b/yiaSNfU1jydIZl6lmsZB+8HyULy+Se+WdmZuKHCecfuaPafReFqOMfTk3+PX9b5/zZPNOx
V2KuxV2Ksv8Ayi0631H8zPLtrcANF9cSVlIqD6AMoBHgSlDiofU9x+UumzfmlD+YC30sdzGgEliq
ji8iwG3DepWoX06VWnbr2xSzzCrxT/nJkPpNj5c826fL9X1zTNQENtMtORR43lIb+ZQ0NKHb4j44
Fekfl950sfOPlWz1y1ojTLwu4Aa+lcJtJH9B3XxUg4q+d/8AnJny1JonnaLXLLlDBr9uwnKmlZog
I5l27PGyV8anFX09ouk2ej6RZ6VZII7SxhSCFRt8Mahan3PU++KqHmjQYfMHl3UdEmme3j1CB7dp
o/tKHFKjx9x36Yq8w80flbpnlf8AIfXNAiuGvGgDak13IoQmaN0eqqC3H4I+PU/jir5QxQ7FXYq7
FXYqyX8t/KMvm3znpmiAH0J5ed469Vt4/jlNex4ig9yMVD3PXmk83+fYdN04AW3qJYWQQfCkMWzO
AP2R8T/LOZzzOfNt7h+PtfTez8Y0Oh4pc64j7zyH3B9K2Vnb2VnBZ2y8Le2jWKFB2RAFUfcM6SER
EADkHzbLkM5GUucjatkmDsVdirsVdirsVQ+o2FtqNhcWF0vO3uo2ilXxVxQ5DJASiYnkWzDlljmJ
x5xNvmvRnfyb55uNM1MB7Pm9jqCsPgeCX7LkH9mhV/lnOYJnBm39x/H2vpGvxR7Q0XFD6q4o+8cx
94eJ/mh5Ll8nec7/AEeh+p8vX06Q787aUkx79yu6E+IOdM+ZlimKHYq7FXYqm/lHzFN5c8z6ZrkK
eo+n3CTGKtOaA0dK9uSkjFQ+4fKfnLy75r0uPUdEvEuYmUGWKoE0LH9iWOtUYfj2qMUvm/8AM+x8
5eT/AM5o/NdxJN9QuL2Kay1IljF6BIDWzsNlCpyQoeq74qlP58fmpbeddagstJLHQtLLiCVgVM8r
0DS8TuFoKJXfqe9MVKa/84zecZ9H84yeXLpmWy1tKxI2wW5jXnG2/TnHyX3+HFXo3/OU+nRz/l/a
XlB6tnqEfFu/CWORWH0nifoxV57q354y6v8AkyfL/qvb+ZEaCwuGQsDcWYBrIjD9pgipIvevgaBV
6f8A844+VPMmgeTJ21tZLcahOJ7OwlqGij4AcmQ/YMh/Z9hiqU/85Efmlolp5au/KWnXKXWsX/GK
8WI8hbwq4Zw7Dbm/Hjw60qTTaqr5bxQ7FXYq7FXYq94/KfSj5T/LvUPNUw4at5jrY6SDsyWqn95K
O45MP+FXxzB1+fgx7c5bfrd32DoPzGoF/RD1H9A+P3PUvyC8rcpLvzJcJslbWxqO53lcfIUUfM5h
dlYLJmemwd77V67aOAf1pfoH6fk9pzdvEOxV2KuxV2KuxV2KuxV4/wDnz5Q9W3g8zWqEyQ8bfUAB
/usn93Ifkx4n5jwzTdqaflkHx/H46PZeyvaFE4JHnvH39R+n5vLvO+jf46/LQX0I9TzJ5SUl+7z2
BFW9yUC1/wBie7ZkdnajjhwnnH7nXe0fZ3gZ+OI9GTf49R+l8+5sXnXYq7FXYq7FUTp2p6lpl0l3
p11NZXUf2J7eRopB8mQg4q9L0H/nIXzXDanTPNFtb+Z9GlHC4t7xFErJ4eoBRj7urHFNt6R5Z/Lz
V/zC8t3miTFvLeqXqx3mjXR/f2k6jmtvJUn1IpiKIwJrup3GBXqKfkrri/nmPNfOP/Dyy/X0kDj1
BII+Ig9OnaTevTh3rthVOv8AnJOVE/Ku9VjQyXNsqDxPqhv1KcVeKaD5j8k/ltaxTW9hH5i89lQ8
1xMf9C09zv6Ufd5k2DlehqA/WqvJj/mn85PzF8y+pHfavJBaSVBsrP8A0eHif2Twozj/AF2bFbYV
ih2KuxV2KuxVk35c+Srrzl5tstFh5Lbu3q386/7qtkIMj13ANPhWv7RGKh7h5inbzP5pstC0SMLp
9rw07SYV+wsaUUv3+Gi1r/KBnNarKc+Wo8uQfTOytNHQaQzntKuKX6B+Or6O0DRbXRNGtNKtR+5t
IxGD0LN1Zz7sxJOdBhxDHARHR881eplnyyyS5yKPy1x3Yq7FXYq7FXYq7FXYqoX9ja39lPZXSCW2
uUaKaM9CrChyM4CQIPItmLLLHISiakDb5rkj1H8vPPbwycpIIWoa7Ce0kOx8K0+5hnNAy0+X3faH
0qQx9p6PzP8AsZD8fJ5T+c/kGHyz5hXUNKHPy1rYN1pUqbonKheD24Fvh/yadwc6WExIAjkXzTLi
ljkYyFSGxee5JrdirI/Jv5febPOF39X0OxedEIE92/wW8Vf55T8IPsNz2GK0zZ/JP5O+Uhx82eY5
te1VaeppehBTGjD7SvO2zf8ABI3tilS/5WN+T1oTFZflulxCOkl1qEvqH5hkmp/wWK2qGx/L3z/o
uty+XtBfyx5h0Oyk1NYI7hrm2ubaAj1VPJV4uOXw8VGKvKoJpoJo54HaKaJg8UiEqyspqrKRuCDi
h9efkb+bw866a+l6nRPMWnRq0zDZbmEEL6yjswJAceJBHWgUsZ/5yx11YtB0XQ1I9S6uXvJB3C26
GNa+zGY/dirxb8sfJ+m+ZNZvX1eaSDRNFsZ9U1QwgGV4LehMcdf2m5fdXFQnTfmP+W0BMVn+XNmb
ZNo2ubyeSUjxZiOpxpbbXX/yO1r91qPlq/8ALUrD/ezTLs3SBvFopwKL7KK4qp6j+Td1d2EmreRt
Ug82aZGKyxWwMV9EP+LLVzz+VNz/AC4rTzqSOSKRo5UKSISrowIYEbEEHpihbirsVfRHlrQv+Vd/
l/6Uy+n5t8zoHuwRSS1s9+MfirNX4vcn+UZrO0tTwR4Rzl937XpfZvszxsviSHoh9suny5vTfyJ8
mGC3k8z3sdJZwYdODdRH0kl/2R+Ee1fHKey9P/lD8HN9qe0uIjBE7DeXv6B69m5eOdirsVdirsVd
irsVdirsVQUmuaJHN6MmoWyTdPTaaMN9xNcqOfGDXEPm3jS5SLEZV7ixH82fI48y6D9bsk5atp6t
JbcdzLGd3i261pVff55ia/TeJHiH1D7Xcdgdp/ls3DL+7nz8j0P63jOhppvmry9c+Qtcf047k+po
t2wqbe7FSoFezEnbvUj9rMLs3VcJ4DyPL8ebu/absrjH5iA3H1e7v+H3e58+69oGq6FrV1o2pQGG
/tJDFLH1qf2Sp/aVgQVPcZvXhHo+gflXofl3SovM35n3D2FnIOdh5diNL67IoaOoIaNfEbEV+Ip3
U0k/nT84te120Gi6TEnl7yvEDHDpFj8AZK1/fOoUvWu42X2rvitofUfyn1nT/Jcfme4vrP8AeW9v
ffotZCbkWl03CKalOJqeqgkgdfDG1phGKHpX5Vn6h5Q/MPXx/eW+kppq70I/Scvp1HyMYxSHmuKG
dfkhqFxY/mnoDwNT1pzbyDsUmRkYH76/PFIVvzz84L5n/MO/mgk52GnUsLIg1UrCTzcU68pWYg+F
MVKK/Iat15o1XQKVHmDRr/TqdKM8fMGvyQjEqHmuKF8MMs0qQxIZJZGCRooqzMxoAAO5OKsw8weT
fPX5c6hbag84tZOZjg1GwuAwEyqGeFihDKyg/ErCh9xilkcHnDyd+YUS2HnpI9H8yEBbXzdbIFSQ
0AVb6IcVI2+32/yRWqrCvOfkTzD5Q1EWmqwgxSjnZ30J521xH1DxSd9iNuo7jFFM5/JDyJZyvL56
8xJTQNGatnC3W6vF3RVB6qhp82p2DZVmzDHEyLlaPSTz5BjhzP4t6D5b0fVPzD86vLdki3LCa+kX
pFAposaHxI+Ffv8AHOdxQlqMu/Xm+i6vPj7N0gjHnyj5nvP3n5Pot7rR9Jt4beSeCxgjRY4I5HSN
QiiiheRGwAzojOGMAEgPnAhkyyMgDInntaItry0uo/UtZ454/wCeJldfvUnJxnGXI21zxygakCD5
quSYOxV2KuxV41qP50+YtA8w3+k6pp8F5HZzvGjxloJGjB+Bif3i7rQ/ZGaSXaOTHMxkAaPue1w+
zWHUYY5McjEyj7xfXu6+acWv5/8AlKSKtxZ3sEoFSgSNwT4Bua/iBl8e1oVuC4WT2T1IPplAj4j9
CU6z/wA5Cw8GTRdKYufszXjAAfOOMmv/AAeU5O1v5sfn+P0uZpvZE3+9n8I/rP6mE3Gu/mV53laN
JLm4t2JBhgHo2y+zEcU/4Mk5hGebOa3P3fqdyMGg0As8MZee8v1/JBnyJItytlLr2iw6kx4rpz3q
i4L9OAQA/FXbLh2Xlq9nHPtXpbqp/IfrTfyT531zyRr/AOi9XMv6MR/TvbJzz9Ku4ki3261+HZh9
ByGn1E8E+GXLqPx+C2do9m4dfh8XFXGRcZd/kfxsUh1+8TzJ5wuLrQLB7c3k3O3tozVy/UybbKWI
5nsPHMfIfEyEwHPo5+mh+V0wGeYPCNyfu8+7zTf8yPO/lTylJp1/qtjaa1+ZtnbCFGFWjtwfiSS4
pReY6rQctzTiDXOnwiYgBP6nzDWSxHLI4gRjva3i+lab5s/M3zJc6jqN29z6LRSardVVpILWSUIz
w2/JSUiDFiqCij5itrjc3of5X6D5fW886/lprumpqE8M7S2syKiXbxwSCJ2ikah5IhWWNe/xeJwJ
TPSNCTQDJ5Y89atpF55asSf0UdUhRfX06XkZXsLwH1FniegMQqR2NOJxV883qWqXk6WkhltVkcW8
rDizRhjwYr2JXthYvTvyU02bzBovnfynFLHBJqenQ3Mcsx4xq9nPVS7AEhay7nEpCjL/AM45/mcJ
AlvbWl4CvMPBdw04kkK3xlDRqbbY2tKmjfkl+dWkajFqNnoXC6gD+hJ9bsqo7IyBx+/+0hbkPfFQ
hY/+cePzccMX0ZIqfz3dpv8A8DK2KKZd+Wn5aa55M1bUvM+qXun+ppGlX1zFaW90s1wGEJHqFE24
AManl1pgZAPCcLF6H+R1jpsvnBr+5kge/wBLt5LnRdNuJUh+uagBS3iV5Ciij/F1rUD3xKQzjy7Z
3kWt+Y/N9/oMOn395ptxqlhBNIt+qm0nRNTmCSsSHk+IxcqLvQEjAljGu+SNG806VrvnnQ3i0GxN
/KumaZe+nbQ3MEUId/qzF/72qOxjC8ewO2FFJN5K/MpbDTz5Z81Wp1vydOfjs3P761bf97aOSCjC
teNafKpxUF7H5yaK98u6TP5X9KXyLawrHY/VCSsclKN9YU/EslTT4t69fiJzSdqRyEg/wfjm9v7K
ZNOARf749/d/R/T+xGeWPzKsfLfkW40/SrUw+YZpfju2o6srV/e/ONRxVDtXfffMbDrBjxGMR6z1
dhrexZ6nVieSV4QOX6Pjzv4dzHINB1XV7aTXNV1O1sLaVyo1HV7n0VlfuFd+RamQw6TJm9X2lyNX
2xpdERjrl0iBt9oRcPlDzbp6DVNBukv4kP8Avbo9x6tCN6fuyrn7slPQ5se4+z8W1Y+3dFqfRPa+
kx/aE/0L88fNulsLfVoU1OOM8W9UejOKduain/BITk8XaWSG0vV97RqfZnTZhxYjwX3bx/HuLNLT
8/8AylJHW5s72CUCpVVjkWvgG5qfvAzOj2tCtwXS5PZPUA+mUCPiP0JZqv8AzkNagFdJ0mSQ9pbt
wlP9hHzr/wAHlWTtb+bH5/j9Lk4PZGX+UmP80fpNfcv/AOVi+e/8Cf4v421Pr3o/VPSPpfVqcede
XOvrfD9rB+bzeH4n9LlSP5H0n5v8t6vou734vlX078mN/n1pK2vm2C/RaJqNurOfGSE+mf8AhOGU
dp46y33h2XsrqOPTmB/gl9h3++2PeatR/KryxBo76vZ6s0uq2Ud2psTC8QJ2dSZnRqhvozLxdn4p
wEt9w6bVe0Orw5ZY7ieGRHJiVx+c/kawBOheUTdXA+xc6tcGRR/rQICh/wCCGZOPs/FHpfvdbn7f
1eQUZ0P6O3282L63+aX5mecpk0uO5mEM37uDRtKjaKNgf2BHFWSQezFszAABTqDIk2ebKPJH/ONH
nHVp4bnzDx0XTahpI2YPduvWiotVQnp8ZqP5ThRT1P8AMrypqWr+eLWHTYecl3ao0sh2ReDsjO7d
AAvHNHr9PKeYCI3Ie37A7Tx4NHI5D9MtvOxyH2sD86/mZo3ka0m8ueSpUvPMEgMeq+YQFZYvGK3+
0OVevZfdvs7HS6SOIbc+95ztTtbJq53LaA5R7v1l5zo35beZ/MOg3fmprq1WPlPJGl/c+ncXrW6m
W5aLl9vgtS5ZhmW6uns+neX9G1/TtE8+/l9HD5f162gRTFVVsZpYysEthcAEFHfkojbq4NTvQgJY
9+Yv5neX7DzNba5p+jLB5yjRWZ1Z4ZradawT2moR8THcqyg8WUhuNOgoSqxOx/LZotKttd/MfV30
DRaMdN0veS/mRmLslvbGvooWYmpGxNSKGuFD6L8k/ln+Wdno1lfaVoUDpeQRXEdxexrcXBWRA4LN
L6nFqNuEoMVRXnLy/wCXNO8p+YtSttPtbO6XR76BrmGJIm9J4SxQlQKgsimmKbfDmLF6H+VHkHUP
OMPmH05Jgumac72YjY0N6+9vHSvRvTfAUh59I8jsWkYs3csST+OFD1//AJxhi02587arYXyJLHfa
RcW5hkoVkRpYfUjKn7XJK7eAOKQ+l5vJPk2eD6vNoWnyQUp6bWsJWgFNhxxpbeHfml+Vv5R2/mCD
Rra+PlXW72D6zaNLV9NlJdkCOzEmFiydahQOxO2KsG1jVfzD8pW9v5E83TTWvluR1jmnt445ZZLH
1A8iW1wQOSd+PLbodtsCpf8AmXf6trdtperWtmLHyWhlsPK9iroWSO3IDs8asz+pIaM7H2FTsSVK
eSeWRoXkmLyVc6bHqvnvzNcRXdtpyxr62mxhaI0sq8ZBI61Pps3FRUsBvyCoK2k8/wD5OaxA1yIb
rStVVvXtElE9leJGQkqE02kj5UrSor3BoUgEUUxkYmxzZ09hofmTRn8zeTnMlmm+p6Q5rc2TkEmq
/tReDf200Os0Bh6ofT937HvexfaEZKx5jU+ku/3+f3ss8/fk1L508leXYrG8Flqek2o9KObkYJDO
iNIH41KHklQwB8CDtTcaaPDjiPJ43tHL4monLvkfveA6r5S/ND8ub367JDeaUQQq6jaOTC1a0Bli
JXf+Vvuy9w2Q6f8A85AavNGsHmzRrLzFGNvrLL9Vu6dP76IcfuTKcmnhP6hblabXZsP93Ix+75ck
2i/M78mZ153Wj61ZSH/dNrJBPGP9lK6N+GYh7LxHvDt4+1GrA5xPw/Un/nnTNE068sIdJhmhjms4
rmUXDVlDTVYK4BKqyrSoGanW4Y458Me563sHWZtRiOTIf4qGz3f/AApH/wAqs/w/xHP9HdKbfWOP
q8v+R2+bjwP8G4f6P28/veL/AD5/lDxv9s/2PL/csN/5yKiUxaDLUBla5SncgiI/hT8cxe1/4fj+
h3XsfLfIP6v++eIfnjGD5Q8g3BJMjwahGfDjHLFx/wCJZnaD+5j+OroO3BWsyf1v0PHsy3Uvrb/n
Gryxo1l+X1rrkUKNqmqPObm5IBkVIpmiWIN1C0i5U8Til6teXlpZWst3eTJb2sCl5p5WCIijqzM1
ABir5m/OD/nISbVxcaD5Rka30xqx3eqCqS3C7gpF0ZIz4/ab2Faq2xnyj5J0Xy/q/lvU/Psluljr
JMltpkhZiInjPoXVzxogg9SlRyr4ilcC09G1W3u9JSU2kdnpOl2l1C/m3RGs47+2s2c8I9V06KSn
+jzL1C/Y8KhsWTCPPPmm2vLh/K/kxLbVG1+G2/SyWFs6QNqMEhKz2URoYpGjUCQr8P074oJZf5X/
ACpufJ+h32uW8Fr5l/Me0RZ00t5PUSz5mpdUG80yjfqN/s70LQGSJJiDuG2WCcYiZB4Zcj0LwXX9
c1vW9Vn1HWrmW71GVqTSTfaFP2QuwUL2UAAZY0Pp/wA//nZbfl3baV5ftdObUtSGnwSeo7ejAice
CnYOzk+mdhQe+IZF4d57/O/zz5ys30+9listLkIMljZoUSTiar6jMzu2+9OXGvbFFsW8seaNY8ta
rHqelyKsybPHIokikTukiNsyn7x2ocUW+1fy91+LW/J2l67LYxaVNqacntkoFLBmRSpotQ4Xko8D
3xS8L/5yH/MLV7TXbryfp9lDplikcbXF3Gi+tdLMgY0cAcE3KkDc0NTTbFbeJaXqmo6VqEGoabcP
aXtu3OC4iPFlPTY+42I74oeweXv+cp/Oll6cetWNrq0S/blUG2nb/ZJyi+6PFNof/nIvWrLzBN5U
8w2cbRwalphkRZNnUCUngw/ySx3GxxUu/JjUPMXmpX8karp36e8o05zSXDFW07sJYJzUqd9o+/ag
5VBUN3Wi+Yvyd8xx+ZNF9LX/ACjdsYRckK6NHzDejKyhvSlV0Uq67Ej5rghMSFg2GzJiljPDIEHu
LJvy9i0BhJ+Zct8A+o3Gopr4uLkyTWdtKxWC2gCcZ2uZOK+nIrD4SQB0wsE8ttI0DUtKi1PzNocM
Oh2QuLSTT7pzGuh2FuOKR+kp9Z727co/KhJFKHpyVeUzeU/zD/LZ4fOOkP6FsCpuoA4eW2jnasMG
oQin94hU+AbwamKH0B+V35y+XPO9qlsSun68i/vtMdvt0G7wE05r7faXv4kq9Ant4LiCSC4jWaCV
SksUihkZWFCrKaggjthV8O/mvoGm+X/zD1vSdMAWwt5lMEYJIQSxrKYwTv8AAX4/RgQWJYq+mvzK
ijbz/Jb8aQqLaJUGwCemmy+A3zmu0f74/D7n0n2dNaEEf0n0znSvm7xD/nIi8R9R0WzB+OGGaZh7
TMij/k0c0fa0vVEeX4+57r2QxkQyS7yB8r/W8V/PmX0bPyXpZ2aDSjdla9Prclenb+7zZ6ONYojy
eW7XyceqyH+kfs2eS5kute6/lT+YHmPSPyf11tESKS+8t3kd2Y7lGkjks7r4ZEAUoao6s5Ibpil5
r50/NDzr5xKpreoM9oh5R2MIEVuD2PBftEdi9Tii2T/kJd6d+mNU036raS+Yb63Q6BPfxrLD6sDF
5bejfZNxH8PPtT6ClIZ9dz2VjYz+XbzUbK20jXba9byr5jktuMWnys5TUNNK3PKSGM0KDoQDTrQA
JYGfMnnHX2P5deTbt9c0sxraRalLbLFdPaIVLo8pLtHaiTdeRB40U+GKLZlpWnaD+XFjJYaJImo+
a50KanrwFUgr9qC0r0p3bv8Agup1vaFemHPv/U9b2L7PHJWXMKh0j3+/y+90dj5x0KK08z+jcWsd
y5aC9av7wn4vjrvR/wDK+1mqAyQqe48/x+C9ZKel1HFp7jKhvHu93u8uS/zN5N8t/mhC97pxi0bz
0q8pYT8NtfFR+D+/XxqPiG80mujk2O0vv9zwna/YWTSnij6sXf3e/wDWxa4872EdrB5O/NvyzNcX
OkILe01O3PpX8MQFF6lUmXYUblxI3ox3zYOhQZ8m/kVqZDaZ54utKLf8e+pWTysvzdBDH/w2K00f
ya8rSmtp+Y+gunUmeVYG36fCztitJ95i8l635kltFb8xPLX1HSUjh0uzt7/hFbJEoROKqGo9F+0S
T74EqfmTyPJ5pFhNr/5jeWJ9QsYPqq3gvEMkkKsXQStVeTKWb4qVPep3wo2SX/lVv5Z2g56l+ZNl
xG/CztXuCR80kah/2ONrSx2/5x/0Eia3GrebbuP7MUtLOydh3b4UmA9qH3xXZMtN8qeavzY1NfMm
vGLy/wCT9PiW3glVfShitYTQQWiN9o9i52r8gmRnMRFk0GzHilkkIxFyPRl9/r2n22mReUvJVo1l
ooPBigJubyRqDk5A5nlT5np0+HNBq9ccnpj9P3vf9kdgw0w8XNRmPlH9vn/apW91rnlK7n0nWtP9
Swu0A1DSLpQYpo3HUfaWv+UO/XplOHNk08qI94czWaPT9o4uKJFjlIdPI+XkxDzP+X7+Wb+z/MDy
L/uS0GyuI7t7SX45rGWJw/p3Cg8jFUbODUDqejHocOeOSNxfOtZosmmnwZBR+w+YZFoHmG//ADNk
1L9Bww6Dd6TLFqtjpCyxzfXdSnnrJd3TXCr6kUCr9kL8II49FGWuMC8//OjzHp2q+cZV02VZ/q9v
DaapqMKrEmoXcFfUuSkfwdTxX2HhTCgsDhmmglSaGRopoyGjkQlWVhuCCNwRih7X+U/5u/mhrXmb
SfLkuqLPZGUSXd1PFG84tbdTLMplK1PJEI5NVqnrikPKfOOuSa95q1bWHUob66lmWNuqozngp/1V
oMUFJ8VfSH5gXL3Or6fq6sSdT06zvUkG3246VFAP5c5ztKNZb7wH0j2XkJaSu6RH6f0vpb9KwfoT
9LVH1f6t9br24en6n6s33ijw+Pyt8/8AAPi+H14uH7afM35jeYRrvnG/vVPK2R/q9tQ7GKH4QR/r
GrfTnM6rL4mQy6Pp/Y+j8DTRh/ERZ95/VyXa7r/kPzBdpe635OjvLuOJII5Prs8YEUdeCBUUDapz
YR7VoVw/b+x0M/ZGzfi/7H/jyDg1TyRYkNpvknSo5B9lrsNeUp0/vO+Rl2tPoAzx+yOMH1ZCfcAP
1sk0LzRrPmiDVvK85hhttS0q8tbG0t40hjSZ4jx40Ffs8tq0yzRa2c8lSOxDjdt9h4dPp+PGDYkL
JPT+2nyy6MjFHBV1JDKRQgjqCM3LxirZ3dzZ3cN5ayNDdW8iywTIaMjoQysD4gjFXrMGg/mT+aaW
up+ZbmLSPLFjzcajNElvDWZgZXhiUIZpJGHXpXvkJzERZNBtxYp5JCMRZPQMqXUtF0HS38t+SLd7
e0nIW91N9729boOTAAqm+yinyFTXR6vtAz9MNo/e912T7Oxw1kz0ZDp0Hv7z9j0f8tfyb9Mxaz5m
iBcUe10xu3cNOP8AjT7/AAy3R9nfxZPl+v8AU4vbXtHd4sB98v8Aif1/Lveu3djZ3lpJZ3UKT2sq
8JIXUMjL4EHNxKAkKI2eOx5ZQkJRNSHV4Z5+/JvUNHkfVfLXqXFih9RrVSTcQU3qh6uo/wCCHv1z
Q6vs+UPVDeP2h7zsr2ihmHh56EuV/wAMvf3fd9zF5tb8uebdOj0Xz7amcRDjZ65CON3bnpVjQ8h4
7GvdSd8npe0iNp7jvae1PZgSuen2P83p8O73cvc8v8+fkv5j8swNqlgy655bYc49VtByCJ/xcgLF
P9bdfftm7hMSFg2HicuKUJGMgRIdC89yTW7FXYqjNJ0fVNXv4tP0u0lvb2Y0jt4VLuadTQdh3PbF
XtXlv8nvLPlGOPVPzAlS/wBVoHtvLdswdQeo+sONj8vs/wCv0zE1Gshi5/V3O17O7Izao+kVH+ce
X7U/nvfNnn3UodNsLaltCALewgHC3gjHwhnOyig2qfkPDNHPLl1Eq+x7rBpdL2Zi4pHf+ceZ8h+o
fF7P+X/5XaV5WjW6nK3ussPjuiPgjr1WEHp/rHc+3TNxpNDHFud5fjk8d2t25k1R4R6cfd3+/wDV
yTrzf5M0bzTpptNQj4ypU212gHqxMe6nwPdehy/U6aOWNHn3uD2f2jl0s+KB26jofx3vANT0jzb+
Xeucj/cyVWOcAtbXMXdWU+3VTuPxzQSjk00/xRe/hk03amGjz7v4on8fNjPmL8sPL/nEyan5JZNJ
8wMC1z5dlcRwykg8jaSGgWu/wHb/AFR13Wm1sMu3KXd+p4rtPsXLpTf1Y/5w/T3PGtX0bVtHvpLD
VbSWyvIvtwToUYe9D1B7EbZmulQeKvX/APnH6KbTo/NXmlfgOn6eLO1mIBpcXcg4Fagiq+nv8/fM
fVZODGZDuc/szTDNqIQIsGW/u5n7GXXHnf8ASX/Hf0PStaY7NNdWqet9DrSn3Zpodp5Rzo/jye2z
eyuml9JlH7R9v60Af+VWSEtN5Ety5/33e3ES/wDAgUy8drHrH7XCPsgOmX/Y/wDHlbzL5isdVtdN
tLLTV0220uH6tbxiVpj6IoI05OAfgpt88wdXqvGINVTu+yOyfyYkOPiEq6V+ksy/5WCP+VOfon1P
9yXq/o3jX4vq1PU50r9nh+7y783/AIPwfxXXw/Gzrv5I/wBc/Er0Vx/53L7/AFPabvyr5Yu6/WtI
s5ie728TH7ytc3h02M84j5PE49fnh9M5j/OKXt+W3kQkk6Ja1JrslB9wOVfkcP8ANcgds6v/AFSS
va+Q/JdqQ0OiWQYdGaFHI+RcNko6TEP4Q1z7V1UueSfzLxH8yPKuq+UPNZ1rTVaOwnmNxZ3CD4Yp
GPJoWHQUNaA7FfpzSavBLDk4o8rsfqe47I1uPW6bwcm8gKI7x3/jqxnUx+V2vXcmpa35XdNUnJe6
msbmSGOWRjVnMdQFJO58e5zLj2ttvHd1Wb2RlxeiY4fMb/Y3ZXX5eaIwk8v+ULZbtd1u9SkkvWBH
RljkJVWHipyGTtYn6Y/Nt0/siAbyT+ER+k/qTW00r8wPP94slJbiDltcS1itIuxpQcdv8kFsxBHN
qD3/AHO3lk0XZsaFRPcN5H8eez2TyJ+VWieWAt3MRf6vT/ep1osftEm/H/WO/wAumbjS6COPc7ye
O7U7dy6r0j0Y+7v97N8z3ROxV2KsC88/lFofmIyXtlTTtXb4jMg/dSt/xag7n+Yb+Nc12q7Pjk3j
tL7HoOy/aDLpqjL14+7qPcf0fc8glj89/l5qBjlVoYZGpRv3tpOB4Hp0+TD2zUg5dPLu+4vXGOj7
Th3n5Sj+PiEr1nyj+V/ngmVQPKPmGTdpY1DWEznuyfCEr4jj78s2mDtKEtpek/Y8r2h7NZ8Vyx/v
I+X1fLr8Hm/mX8k/zF0K5SP9FyanbTMFt7zTg1zE9en2BzStf21GbIG3mzEg0yXy9/zj9cW8EWp+
fdSj0HT2+IWEbCW+kGx4gDkqVH+sR3UZXlzwxi5GnK0uiy55cOOJkfs+JZnF5p0by9ZNpPkPS10q
3eiy6g49S8nPiztyI9tzTtxzS6jtOUtoekfb+x7Ps/2XhD1ZzxHu/h/an/lD8m/MOvTDUdfeSws5
Dzb1am7lr3o1eFfF9/bIafs+eTeWw+1u7Q9osOnHBhAlId30j9fw+b3DQfLuj6DYrZaVbLbwj7RG
7uf5nY7sfnm9w4Y4xUQ8LqtZl1E+PIbP45JjlrjOxVCarpGm6tYyWOpW6XNrL9uJxUV7EHqCOxG+
QyY4zFSFhuwaieGYnA8Mg8R84/khq+nSNe+W3a+tVPIWxIFzHTf4TsJKe1G9jmj1HZsobw9Q+17n
s72mxZRwZ/TLv/hP6vuYnP5uv5ITpPmzTINct4TxNvqUX+kRn/JlI5q3uanK8XaGWGx39/Nv1Ps5
pc44sZ4L/m7x+X6qSp9F/JaZjI/la6t2bcxQ30rID7FzXMsdrD+b9rqJeyGS9pxr3FG3Oq29zp9t
5Z8r6Oul6T6vOOwty88087bBpHNXkPhX8aCmFqdZLNUQKHc7vszsXHoryTlcq58gB+Or3TyF+W2l
aX5Xis9asLa8vp2M9160aS8GcABFLA/ZVR071za6TRRjD1gGReT7V7ZyZdQZYpSjAbCiR8fx0TVv
y38iMxY6Ja1PglB9wy06HD/NcQds6sf5SSrb+QPJNuax6HZE9QXhST/iYbJR0eIfwhhPtbVS55J/
Mj7kx/QWien6X6PtvS/336MfH7qUyzwMf80fJxvzWW74pX7yjstaHYq7FVO5tra6ge3uYkngkFJI
pFDow8GVqg4JRBFHcMoTlE3E0R3MSvPyh/L66kMjaUImPX0ZZY1/4FX4j6BmHLs/CejuMftBrICu
O/eAf0IrTvyy8h6e4e30aBnG4aflPv4/vmfJQ0OGPKP6WnN23q8gqWQ/Db7qZMiKihEAVVFFUCgA
HgMygKdYTfNvCh2KuxV2KuxVRvbGzvrZ7W8gjubaQUkhlUOhHuDkZwEhRFhnjyyxy4okiQ6h5X5r
/IWwuWe58u3H1OU1P1KerQk+CPu6fTy+jNTn7LB3gfgXrNB7VTjUc44h/OHP5cj9jzuaP8yfJjmz
YXVlHKeCAASwMW6em1Hj5H/J+LNfebBtvF6EDQa71+mRHwPx5Gvfsmmg/lL528y3AvtVZ7GGUhpL
q9LNOw/yYyef/BccsxaHLlNnbzLjart7SaWPBj9RHSPL58vlb1/yn+Wflby1xmtoPrN+vW+uKPID
/kD7KfQK++bjT6HHj35y73jtf21qNTtI8MP5o5fHvZXmY6l2KuxV2KuxV2Kpfq3l7QtXQLqdhBeU
FFaaNWZR/ksRyX6DlWTBCf1AFyMGry4f7uUo+4sbl/Jz8u5JOf6LKb1KpPOFP0c9vozGPZ2Hu+0u
zj7Ra0CuP/Yx/UneheTvLGhEtpOnRW0hFDMAXkp4eo5Z6fTl+LTY8f0hwdV2jnz/AN5MyHd0+Q2T
nL3CdirsVdir/9k=</xmpGImg:image>
</rdf:li>
</rdf:Alt>
</xmp:Thumbnails>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/"
xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#"
xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#">
<xmpMM:InstanceID>uuid:8e8bb892-d55e-44cb-a215-1e9b181b84aa</xmpMM:InstanceID>
<xmpMM:DocumentID>xmp.did:FE9735D11FEAE411AB9DDAAD97C81D37</xmpMM:DocumentID>
<xmpMM:OriginalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</xmpMM:OriginalDocumentID>
<xmpMM:RenditionClass>proof:pdf</xmpMM:RenditionClass>
<xmpMM:DerivedFrom rdf:parseType="Resource">
<stRef:instanceID>uuid:c6a218eb-1ecd-6b42-bb17-2fe8d9c395b8</stRef:instanceID>
<stRef:documentID>xmp.did:0980117407206811822A897E387FE54C</stRef:documentID>
<stRef:originalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</stRef:originalDocumentID>
<stRef:renditionClass>proof:pdf</stRef:renditionClass>
</xmpMM:DerivedFrom>
<xmpMM:History>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:FE9735D11FEAE411AB9DDAAD97C81D37</stEvt:instanceID>
<stEvt:when>2015-04-24T10:18:30+09:00</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator CS6 (Windows)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
</rdf:Seq>
</xmpMM:History>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:illustrator="http://ns.adobe.com/illustrator/1.0/">
<illustrator:Type>Document</illustrator:Type>
<illustrator:StartupProfile>Print</illustrator:StartupProfile>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:xmpTPg="http://ns.adobe.com/xap/1.0/t/pg/"
xmlns:stDim="http://ns.adobe.com/xap/1.0/sType/Dimensions#"
xmlns:xmpG="http://ns.adobe.com/xap/1.0/g/">
<xmpTPg:HasVisibleOverprint>False</xmpTPg:HasVisibleOverprint>
<xmpTPg:HasVisibleTransparency>False</xmpTPg:HasVisibleTransparency>
<xmpTPg:NPages>1</xmpTPg:NPages>
<xmpTPg:MaxPageSize rdf:parseType="Resource">
<stDim:w>200.000195</stDim:w>
<stDim:h>200.000195</stDim:h>
<stDim:unit>Millimeters</stDim:unit>
</xmpTPg:MaxPageSize>
<xmpTPg:PlateNames>
<rdf:Seq>
<rdf:li>Cyan</rdf:li>
<rdf:li>Magenta</rdf:li>
<rdf:li>Yellow</rdf:li>
<rdf:li>Black</rdf:li>
</rdf:Seq>
</xmpTPg:PlateNames>
<xmpTPg:SwatchGroups>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>기본 견본 그룹</xmpG:groupName>
<xmpG:groupType>0</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>흰색</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>검정</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>100.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK 빨강</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK 노랑</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK 녹색</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK 청록</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK 파랑</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK 자홍</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=15 M=100 Y=90 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>14.999998</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>90.000004</xmpG:yellow>
<xmpG:black>10.000002</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=90 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>90.000004</xmpG:magenta>
<xmpG:yellow>84.999996</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=80 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>80.000001</xmpG:magenta>
<xmpG:yellow>94.999999</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=50 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=35 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>35.000002</xmpG:magenta>
<xmpG:yellow>84.999996</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=5 M=0 Y=90 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>5.000001</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>90.000004</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=20 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>19.999999</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>84.999996</xmpG:cyan>
<xmpG:magenta>10.000002</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>10.000002</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=90 M=30 Y=95 K=30</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>90.000004</xmpG:cyan>
<xmpG:magenta>30.000001</xmpG:magenta>
<xmpG:yellow>94.999999</xmpG:yellow>
<xmpG:black>30.000001</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=75 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>75.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=80 M=10 Y=45 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>80.000001</xmpG:cyan>
<xmpG:magenta>10.000002</xmpG:magenta>
<xmpG:yellow>44.999999</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=70 M=15 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>69.999999</xmpG:cyan>
<xmpG:magenta>14.999998</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=50 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>84.999996</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=95 Y=5 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>94.999999</xmpG:magenta>
<xmpG:yellow>5.000001</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=100 Y=25 K=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>25.000000</xmpG:yellow>
<xmpG:black>25.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=100 Y=35 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>35.000002</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>35.000002</xmpG:yellow>
<xmpG:black>10.000002</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=10 M=100 Y=50 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>10.000002</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>50.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=95 Y=20 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>94.999999</xmpG:magenta>
<xmpG:yellow>19.999999</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=25 Y=40 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>25.000000</xmpG:cyan>
<xmpG:magenta>25.000000</xmpG:magenta>
<xmpG:yellow>39.999998</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=45 Y=50 K=5</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>39.999998</xmpG:cyan>
<xmpG:magenta>44.999999</xmpG:magenta>
<xmpG:yellow>50.000000</xmpG:yellow>
<xmpG:black>5.000001</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=50 Y=60 K=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>60.000002</xmpG:yellow>
<xmpG:black>25.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=55 M=60 Y=65 K=40</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>55.000001</xmpG:cyan>
<xmpG:magenta>60.000002</xmpG:magenta>
<xmpG:yellow>64.999998</xmpG:yellow>
<xmpG:black>39.999998</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=40 Y=65 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>25.000000</xmpG:cyan>
<xmpG:magenta>39.999998</xmpG:magenta>
<xmpG:yellow>64.999998</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=30 M=50 Y=75 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>30.000001</xmpG:cyan>
<xmpG:magenta>50.000000</xmpG:magenta>
<xmpG:yellow>75.000000</xmpG:yellow>
<xmpG:black>10.000002</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=60 Y=80 K=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>35.000002</xmpG:cyan>
<xmpG:magenta>60.000002</xmpG:magenta>
<xmpG:yellow>80.000001</xmpG:yellow>
<xmpG:black>25.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=65 Y=90 K=35</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>39.999998</xmpG:cyan>
<xmpG:magenta>64.999998</xmpG:magenta>
<xmpG:yellow>90.000004</xmpG:yellow>
<xmpG:black>35.000002</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=70 Y=100 K=50</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>39.999998</xmpG:cyan>
<xmpG:magenta>69.999999</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>50.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=70 Y=80 K=70</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.000000</xmpG:cyan>
<xmpG:magenta>69.999999</xmpG:magenta>
<xmpG:yellow>80.000001</xmpG:yellow>
<xmpG:black>69.999999</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>회색</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=100</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>100.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=90</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>89.999402</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=80</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>79.998797</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=70</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>69.999701</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=60</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>59.999102</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=50</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>50.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=40</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>39.999402</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=30</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>29.998803</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=20</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>19.999701</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>9.999102</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=5</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>4.998803</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>밝기</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=100 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=75 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>75.000000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=10 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>10.000002</xmpG:magenta>
<xmpG:yellow>94.999999</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>84.999996</xmpG:cyan>
<xmpG:magenta>10.000002</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>90.000004</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=60 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>60.000002</xmpG:cyan>
<xmpG:magenta>90.000004</xmpG:magenta>
<xmpG:yellow>0.003099</xmpG:yellow>
<xmpG:black>0.003099</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
</rdf:Seq>
</xmpTPg:SwatchGroups>
</rdf:Description>
<rdf:Description rdf:about=""
xmlns:pdf="http://ns.adobe.com/pdf/1.3/">
<pdf:Producer>Adobe PDF library 10.01</pdf:Producer>
</rdf:Description>
</rdf:RDF>
</x:xmpmeta>
<?xpacket end="w"?>
endstream
endobj
3 0 obj
<</Count 1/Kids[7 0 R]/Type/Pages>>
endobj
7 0 obj
<</ArtBox[176.156 167.26 390.319 399.669]/BleedBox[0.0 0.0 566.93 566.93]/Contents 210 0 R/LastModified(D:20150427195923+10'00')/MediaBox[0.0 0.0 566.93 566.93]/Parent 3 0 R/PieceInfo<</Illustrator 211 0 R>>/Resources<</ColorSpace<</CS0 212 0 R>>/ExtGState<</GS0 213 0 R>>/Properties<</MC0 208 0 R>>/XObject<</Fm0 214 0 R>>>>/Thumb 215 0 R/TrimBox[0.0 0.0 566.93 566.93]/Type/Page>>
endobj
210 0 obj
<</Filter/FlateDecode/Length 7328>>stream
HWɮ
Wt)\ydxs hd#Y]m`>H`ǧ?.x(G\yo_?||S9>(⿎?×o_ǧ?a߿?~;q0V냟~}<i-p]wQ);[xٽO?IO'QOc_ulҨ
{q<m9qxr@Fy6hX3zu}:[xY]"mqWWYN]xz;Xpc_
uqhG\fh\/ƚqŢ`sc;Tyx\QIR-UR/2[?Fy#B
ؓ.oPJ+Eb)A7<