MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C794E3.060E3570" Tento dokument je webová stránka tvořená jedním souborem, rovněž nazývaná soubor webového archivu. Zobrazí-li se tato zpráva, znamená to, že prohlížeč nebo editor nepodporuje soubory webových archivů. Stáhněte si prohlížeč, který podporuje webový archiv, například aplikaci Microsoft Internet Explorer. ------=_NextPart_01C794E3.060E3570 Content-Location: file:///C:/D12AB0D1/dyna_teorie1.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" TESTIMA, spol. s r.o.

 <= /o:p>

Dynamická metoda dle ASTM 956

Dynamická = metoda je vhodná pro měření tvrdosti hrubozrnných materiálů, pro měření velkých dílů (odlitky, výkovky). Má menši nároky na kvalitu povrchu měřeného materiá= lu.

Dynamická = metoda je založena na rozdílu kinetické energie kuličky vystřelené proti povrchu měřeného materiálu a kuličky od tohoto materiálu odražené.

 =

 =

 =

 =

Kinetická energie se snímá pomocí elektromagnetické indukční cívky. Úbytek energie je závislý na tvrdosti a modulu pružnosti měřeného materiálu.

Metoda je vhodn&a= acute; především pro měření tvrdosti hrubozrnných materiálů, výrobků z oceli a litých materiálů (zejména větší= ;ch dílů). Nevhodná je pro měření velmi malých dílů.

Min. tlouš&#= 357;ka měřeného dílu 10 - 15 mm

Min. hmotnost 5 kg.

- měření ze všech směrů. =

Tato metoda nekla= de takové nároky na povrch jako metoda ultrazvuková.  Drsnost cca Ra 6,3 a lepší.

 <= /span>

 

 <= /o:p>

 

 

 

 

 

 

 

 

 

 

 

 

 

 

------=_NextPart_01C794E3.060E3570 Content-Location: file:///C:/D12AB0D1/dyna_teorie1_soubory/image009.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDABQQEBgSGCYXFyYxJR4lMS0lJSUlLT00NDQ0ND1CPz8/ Pz8/QkJCQ0NDQkJDQ0NDQ0NERERERERERERERERERET/2wBDARUZGR8cHyUYGCU0JR8lNEI0Kio0 QkNCQDRAQkNDQkJCQkJCQ0NDQ0NDQ0NDQ0NDQ0NERERERERERERERERERET/wAARCACWAMgDAREA AhEBAxEB/8QAGgABAAMBAQEAAAAAAAAAAAAAAAMEBQIBBv/EAEMQAAEDAgIFBwkGBQMFAAAAAAEA AgMEERIhBSIxQVETFDJhcZLRFTRSU1SBobHSBiMzkZPBQmJy8PEWguElQ3ODsv/EABgBAQADAQAA AAAAAAAAAAAAAAACAwQB/8QAMREBAAIAAwUHAwQCAwAAAAAAAAECAxESITEyUpEEEyIzUVNxFEFh QoGhsSMkQ8HR/9oADAMBAAIRAxEAPwD7NAQEBAQEBAQcSSsiGKQho2XKDpB6gICAgICAgICAgICA gICAgwBK59a6jFVIHAYtjPy6O4IL3MKj2qTus+lA5hUe1Sd1n0oHMKj2qTus+lA5hUe1Sd1n0oHM Kj2qTus+lA5hUe1Sd1n0oKGltF1UtM5jZnyk21CGAHPsCCGiZNoZoie8zSv6EDdg95z/AGUZnL5X YeFr8UzppG+V/DpV+teJn8uZXPF+Fn+vGzK0/l3TVtQ2YU1WwBzrlr2HI2SJnPKXL4dNM4mFbZG+ J3tRTZhAQEBAQEBAQEBAQEHiD5qLQjWaSMnKvxgCa+WZJII7EH0yAgICAgIIKuqZSRGV+wfE8FyZ y2p0pN7RSv3U9GUrxeqn/GlzP8rdwUax953ytxrxswqcFf5n1aamzsyq8/p+yT5KE8UNNPJxPmGm pswgICAgICAgICAgICAgotjdz5z7avJtF918RQXkBAQEBB4TZBjRf9UqOVPm0R1B6buPYFXxTn9o bJ/wU0f8l9/4j0bSsYxBmVXn9P2SfJQnihpp5OJ8w01NmEBAQEBAQEBAQEBAQEGBBWVR0mQ4P5s7 FG241bt3+/NBvoCAgICDHrJXV8vMoDqD8d43D0R1qudvhj92vDrGFXvr7/0R/wBtSKJsLBGwWaMg FYyzM2nVO+UiOCDMqvP6fsk+ShPFDTTycT5h1pNlU4N5qbHWxd023jfs61NmVGP0nfDawyzdY7Ae vfkg5jdpRtyBfO9n239hysg75XSnojoncOO/Pbb/AAgne+rDo3BhJMbgW3FhJla+fbsQVXP0o9uH Da7XZiwO/ryOyyCSYaQkhZhyfeS/ZY4bgHb79qCxo81IjeyUO5QXLS+xB4b0EjucmnfymUmeHktv xQZ3J17rHXGTcWsOjYXAz6d75/FBNRx1gmaZcWHPa7LDbIH+e+0/FBVp49I4HtdjxHolzt+Y4njf 3dFBs0PK8g0T/iDJ2d723+/agtIKbZn88dFfUEbXW67lBcQEBAQZNZWvmfzSj/E/jk3MHioTP6at WHhxWO9xuH7RzLtHSMo4xHH7zvJ4qURkpxLziTqssrqsQEGZVef0/ZJ8lCeKGmnk4nzDTU2YQEBA QEBAQEBAQEBB4g+Xh0vM7Shh5HXP3R1tgaScWzgg+pQEEM9TFTtxSuDR1rkzlvSrS19lYzZZqajS erTAxQb5XbT/AEj91DObbtkerVopg7cTxX5f/WlSUkdIzk4h2nee1TiMtzNfEtiTqssLqAgICDMq vP6fsk+ShPFDTTycT5hpqbMICAgICAgICAgICAgIMkMDat1QITyxaGnWbsvt27/2VmmvPHSVWu3J PWFo1ExH4Lu83xTTXnjpJrt7c9YZfM613Skmt1Fg/dQ7uPd/iWr6r07NHWEkOjmROxmB0jvSke13 72XYwsPn/tC3a8a2yKaY9Iyho84m9Se83xU9NeeOkqNd+SesHOJvUnvN8U01546Sa7+3PWDnE3qT 3m+Kaa88dJNd+SesHOJvUnvN8U01546Sa78k9YOcTepPeb4pprzx0k135J6wc4m9Se83xTTXnjpJ rv7c9YZ9RNIa2AmI3tJYXGaqmtddfF/bVS1u4xZ0bc67Ni5WiaSFpjxMfiZcNte18+O5dn8bVMbt sZKfOdItyEdwL9IG5z43/ZcdXtHzVEzSahmA3yH9/NB26eUEgREjjib4qyK15/7VTa3JM9HnOJvU nvN8U01546S5rv7c9YOcTepPeb4pprzx0k139uesHOJvUnvN8U01546Sa7+3PWDnE3qT3m+Kaa88 dJNd/bnrBzib1J7zfFNNeeOkmu/tz1g5zN6k95vimmvPHSXdd/bnrCu/SzY+mAP/AGM8VzKnuR/K yIxp3YNlaq0q50Ykhys7aHNcOzJX4NKWmY1RbYzdoti4cRqpNJz+7RoaiSdl5GYevj+6qxK1rOVb ZrMK9rRnauS0qlz5OB9d5XMzo3YTqluWUewHbxzQfWoCAgICAgICAgzKrz+n7JPkoTxQ008nE+Ya amzCAgICAggqKuGmF5XhvauTMRvTrS1+CM2Y7TwlOGkifKeNrBQ18sZtP0uW3FvFHmDS1TtcyBvV mf3+aeOfw7n2em6JvINACTOpmkk99h+6aPWc3PqsvLpWqyzQdEz/ALd+0kruivorntOLP6kdfQwU 9HMYmBuqSpxs3bM1N72xMu8nVluzacfRHYERdoPl4dIzHSxhLhhxGO2Ft8IFx/Nt3nJB9QgICAgI CAgICDMqvP6fsk+ShPFDTTycT5hpqbMICAgp1mkYKIfeuz3NGZUZtEb1uHhXxOGP3Z3L6Q0h+COb xek7pH+/7Kj4rbtkNGnBwuOe8t6RuT0+gqeM45byv9J+fw/yuxSPvtQt2m87K+CvpDUa0NFmiw4B TZd+90gICCjpbzOb+goLcfRHYEHSD5eHS9S7SZp+SGLoHWNgBni/JB9SgICAgICAgICDI0hMyCsp 5JDhbZ4uoTsmM2vCrNsLErXbOxqtcHi7TccQpskxlsl0gp1Okqal/EeL8BmfyUZtEb1tMG9+Gv7s 7nlbpHKlZyUfrX7fd/fvUc7W4dkerT3eFhebOu3LC3R6Hhpjjd95Lve/NdisR8qcTtFr+GPDX0hp KbOICAgICCjpbzOb+goLcfRHYEHaDGwVDal1S2l1yMF+VGwe5BY51W+zD9YeCBzqt9mH6w8EDnVb 7MP1h4IHOq32YfrDwQOdVvsw/WHggc6rfZh+sPBA51W+zD9YeCBzqt9mH6w8EDnVb7MP1h4IKFQ+ onqQyWmBGB2oZRbaM9m1N+9KtprOdZylMfs/G3OCR8XU12Sr0ek5NX1Uz5la2+XnkJz/AMWolcOF /wDKaPWZd+piOHDrC3TaHpKbNrLu4uzUorEKb9oxL77bPSF9SUPUBAQEBAQEFHS3mc39BQW4+iOw IO0EEdXDI90bHgub0hwQdsmZISGkEtNjbig6LgBcnIZlB4yRrwHNNwcwg6uEHLZGuJAIJG0IO0BA QRNqI3vMQcMbek3eEFV3n7P/ABP/APpqC3LMyFuOQhrRtJQctqYnuLGuBc3aLoOpJWRtxPNhxKDu 4QLhB417X9E33ZcQg6QEBAQRTTxwDFK4NF7XPEoK2lc6KX+goLcfRHYEHaDFfoEPe9/KHXJda3E3 z4/BB6dAx7A8jbuF8+v58Qgmg0QyFznNcbObgtwyHggrO+z7cOq7XtYEhB5/p8EC8hy9EADfs6s9 iDQoqBtI5zmka+G9mgbOz5IODo1xN+cTd5v0oPPJjvaZu836UDyY72mbvN+lBiy/ZyomrTLyrmsF rSE3kOXVZBuNge2qY7NzWxuaXnjcIJa6jbWx8k8kNvc4d6Ch5Bbbp62d3YRc3sf2990Eseh2MhfE HdMtJdbPVtl8EFaT7Ptt927WuL3bt2XvxQdeQG3vyhOQFnNBGVtvFBoUtGKaN0bTkS51wLEXQQ+T He0zd5v0oHkx3tM3eb9KB5Md7TN3m/SgeTHe0zd5v0oKGltDTTwYIpZJHEjVkcMPbsCD2m0LLS0c kHKGRz2kBv8AAD1f37kG6wWaAg6QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ EBAQEBAQEBAQEBAQEFHS0Dp6V7WdMazbcW5hBgc6rmffMDmmb7xrcGLE64aGHLIYc93ag6idPBLy h5Qec2a1t7uxXA2fl2ZII3aUrcOAvcLnJ2HO2C/obA7bq9V0FulrKs1LI2uvFqWyLg9mHN2LCd+8 uHCyCSvqqltS+IXdGWkBrW7NU5m7cxfeHdVkFDn9Rk3GWiNowtAsC4R3w5DN2LcTbdZBYdW1zGlj nPuSyz8AFsTLkdE5X/lJ3ILGipprTzzXDi2NxxCwuGZoM+PSNY5nKB5LjyeMWN2NN7uw4LWJyBwu 7UFplZpAkOJOXI6ojydjJB2i4y7LIIoq7SUgIJLXFzGu+76BLreiBa3W7jdB5V1VbI6WFpkw2lb0 M9UZEWb/ABbtY34BBKK2u5ZrIySyzMGJh1xbMnVyN+ttuCCbQr5pZnySlxcY2YsTMNnXddoyGxBn 0lVW0sJwl2CJoe9rmWtrZtBIzu3NBq1/L80he5zg7HG6QsGwE8Lbv8oKDJq6mY4w4nYuXcGlnRs/ IjK+wk2/IILbJqiXR07n651sBwm5HZhbfuoK0tTpC7sD3ADlrARj+AAt3b9nyQBpOsMz8Jc7DjxM bH0QGAg3ttxbr+5ByzSNdaz3PEeL8UR4ndC4FsIvrZdHqvvQaeieUE1QJXOJxNcA5thYtGzwvlZB roCCtW1baOEzPzaLXt1myCM6VpA1rzK3C42ab8EEcumaWKYQlwvniO5tuP5oPNIT0fIunnAe2M22 XIPBB23SVGwYQ9owgao3X2ZIJGaRpn5tkaejv9LYgovq6BrxPG1r3l1sTQLg4Sb/AJDagnj0zTuZ jkOAavSPpNxbupBI/SVK5zYsQeZLANAvk7/jPsQVDX0Oj3yMYzC5mDHhFsnG3w/wguN0pSOw2lbr XIz4bfysg9j0nSyAFkjSDf4C5+GaCKfTNLEMnYzbEGszytf5IJafSMFTEZo3XDRd3VldBWh09Syu YL4Q9oc0uy2m1u34ILJlpKx/IEte5pvhOeY8Pgg9OkaVrnMMjcTBd4vsQV5tMwMbjZrtIvdpHpBu z3oNJB6g4ZG2O+EAYjiNt54oO0BAQEFWupeeQmG+G9jfbsN0GY77Pk3PK68mMSnBkQ8gmwvls60E FXoltHG+UuLom8paO2f3lgdb/hBoM0bj0fzRztZzdZ+3WOd/zQcP0Q97XjlbOe9sjiG2BsALbb2P agji+z0bMILyQ1r2GwtfFex/24jZBzF9ngwDXzFswy2QaW55nj/wglh0IInNPKXw2/h4R4OPvQZN NA+lr204IcWltsQysG2xbel7j2oNup0UZ5XvD7NfyWJuG+cZuM7oIvIbS6UueSJWyN2bMbsXwQRn QLieU5b707XYMrYMFrX4b7oMptI4VZo7g31bkbG4MOIZ9L3f7kH0VJo4UxecV8bWN2bMLbIKY0Cc GB0t9RsQOHc12Ib/AHIJqLQzaSblQ641sIw5jEbnO/7DrQRv0HjEkfK/ducZGtwi7XEg7d4uNmXW gjP2fxXc6XXfcvOHeXNdkL5dGyDcQeoCAgICAg//2Q== ------=_NextPart_01C794E3.060E3570 Content-Location: file:///C:/D12AB0D1/dyna_teorie1_soubory/image001.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7 Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCABfAuEDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2aisX XvFeleHJIU1GR0aYEptQtnGM9PrTb7xbpGn6ZFqM05NvMQEZFLZyMjpU88dddjZUKrUWovXbzNyi ud1Pxvouk+R9qmkH2iPzI9sZOR+H1pNO8deH9UnW3t70CVuiSKUJ9hkc0ueN7XH9Wr8nPyO3ex0d FcxqPxA0HTL2WzuJZRLE21sRMRn60mnfEHQtTvorO2llMspIXdEQOAT1/Cj2kL2uV9UxHLz8jtve x1FFNRw65HSnVZzBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFI aWq99P8AZbGe4yB5UbNz7CgaV3ZHm3irxxrT65c2WgzCGCyB8xwisXI69Qa6XwX4rfXtPRrjAnU7 ZMcAn1rhPB1v9te5nlheQ3EpJ2jOR3/nVjwU76Z4jvtPc7fLl+6frg/0rlhKV1Jvc93FUqPs6lKE UnTtr1fR3+Z6/RTI23Rg+op9dR4IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFAHmHxTjE+v6NCwyr5Uj6stcTqEl7YWZ0a4yYVkEsRPpzXs+ v+G7TWbq2u5kYzWpzGQ2AOQf6VQ1bwZY6raxrOmXi+6wOCK5Z0XJto9zC5nTpRpwkrxW/rdtNHnG szNJd6MzHpGo/lVnxfHaLbWTQOjXpfpH97HbP412N34Bs7yCITKxaFdqYbHFN0/wHZ2kodIF3j+J iSRTdKTuu4oY+jD2c9bwT06O/nf9DM11ZLjwNPPOB5iqm445JyKd4Bs/tFlAxxwK7K68P2t3o8mn zqTHIBuAODxUWg6DFoyiKEERrwATmteR8/N5HC8RF4X2XXmv8rFvWtVi8O6HNqMsTypBtyiYycsF /rWLB4/t/tk8F9YzWYitzcKXIbcg+nf2rd13SoNb0mbT7guIpsbthweCCOfqK5648G29xdtcyF2Y weQVJ+Up/jzRJTvoTRlhlC1Ra6/pb9Rlr8SrGadFmtjFHKjOrrKrlQBnDAH5TVKfx3fXWp6U0Ns9 nZXEh3eYVYyp9Oq06LwMIWCfariSFQVETuNoGMY6c0QeBI4JYGNxcSC3OYldwQvt0qLVHudXtMFF txj+b6P8du/kWF+JdkZ1UWxaEy+VvEq789M7M5x71OvxBgm1B7WCzLBJPL+eZEdvcKTkiqP/AAgq wy5gubiOMvvMSuNuevpmiXwOktyk0s80ux96qxHB+uM4/Gi1UlywPRdPP+r/ADsLp3xBvDa6hdX9 gPKtZGAaJgOAQApBJJPPXpWkPHcQS1eXTbiJbq4jhjLled38XXpWcPA0QW5j8+fybrJeIMMAkg5H HtV678IQXumxWzySJ5DK0To2GUjoaaVRLcUp4OUr8ujfnorevcr+IvGzx6brEenboLrT2hAlYAht 7DOB9M01vHzzaXqE+n2pmNnFxM5ARnxzgZBIHX/IqFfAkTQ3UMk1w4uyhlZnBYlTxzipo/BECPcE NIq3MflyorYUjGM4x1pWqX/rzH7TBqKVrtP9I3/J27DI/Gd5cLo7Tq9q9zMquqBGWUEfUlR+tXV+ IFoIirWsv2kXX2byMjOf730xzVWDwWkX2YPcTy/ZJA8W5hxjoOnSpZfBds2rjVF3efjkZ+XOMZxj rTSqEynhG9V32730X3Bd/ESO2a5ZNLnkhtJvLmlDLge4Gcmp7bXlvfFdxEs8+2GCMpHwIxuGc+pN V5PBFtJbXUBeXbeP5knzDIPtxVmx8Lx2mqPfIzmSRFRsnjCjAppTvr/W5MqmGUHyKzt/8j/wSr4i 8XyaD4nijnmxZfYPNMQUZaTeQMH6CrLeOMLaQxaZLJe3SGQQeYq7FHdmJwKm1zwpaateLeShnlEH kbSRt25J6Y689c1lHwLGsMAS5uUltwVjlDjcFPY8cilapd2KU8I4x5lqlr269vPfqW/+Fh2ptoXW xnaaS5Ns0GVDI4/HFVL/AOIdwNGu57XT/JvLWZY5I5iGVQe/BGfwpYPA8CLAA0uYJvPDFuXf1bjm pJvA9tLFdozy/wCmMrSfN0I6Y4otUtuVGpglL4dL/r69iUePHjlgt5NJne5miMgjiZT0/GnXHj5Y 3uGg0ueeCzwLmQOo2HHIAJ5xUNp4QEN5DcvPNLLChRWcjofXApuoeBoJ5pZI57iJbg5mjjfCufyo aqWJjLCc2q/Pe/r2289xE8ZTSeIrnypPMsRZJNFGdq8kZ6n+tWtI8fW+oaounyW4jkdCyvHKsinH bI71VbwPbSNKzbwJYRCVDYAUdMe9JZ+DBa31vcfaJpHt08tN5GAvpgChKomEp4SUXprbT1t/nudx GwdQw6Gn1DbL5cKoT0qXI9a2POFrA8cT/Z/B2pNu2kwlQfcmt+uO+KUmzwdIucF5kGPXmoqO0Gzq wcefEU4+a/Mxfh9pwNlAxdxuBb5Wx1rO1KFdJ+J8iru23ChgWPUkAn9Qa6bwKscFhCrOBtjFYnxL AtfEOl6ojDbjYxHscn9DWU1y04vtY7sPP2uKqx/nUl+q/I9IsX8y0RvarNZWgTiawQg54q7d31rY Qma7uI4I1GS0jACug8hJt2RYorg9X+KemWzGHS4JL+Ucbvupn69TXN3HiPxhrrFftK6fC3G2P5Tj +dYutHaOp3xy+rbmqtQXn/lues3F7a2qF7i4jiUdS7AYrEu/Hfhmz+/qsUn/AFxzJ/KvPYPBct6/ n3t5Nck9XLc/mc1uWnw9sgq5t1b3diTReq9kkP2eBh8U5S9Fb8zSufir4fhOIVubj3SPH/oWKrf8 Lc0o9NOvj/wFf/iqvw+CLMKP9Hg49I1q3F4Rto+iqv0AFHLU7/gHtcElpTb9Zf8AAMb/AIW1pn/Q Mv8A/vlf/iqP+FtaZ/0DL/8A75X/AOKrox4chA+8fzpf+Edh/vH86fLU/m/An22E/wCfL/8AAv8A gHN/8La0z/oGX/8A3yv/AMVR/wALa0z/AKBl/wD98r/8VXRnw5Cep/WmHw4ifdO5fQnmjlqfzfgH tsJ/z5f/AIF/wDn/APhbWl/9Ay//AO+V/wDiqP8AhbWmf9Ay/wD++V/+KroR4fgkUgMeeCO4pw8O QgY3H86OWp/N+Ae2wn/Pl/8AgX/AOc/4W1pn/QMv/wDvlf8A4qj/AIW1pn/QMv8A/vlf/iq6T/hH Yf7x/Oj/AIR2H+8fzo5an834B7bC/wDPl/8AgT/yOb/4W1pn/QMv/wDvlf8A4qj/AIW1pn/QMv8A /vlf/iq6T/hHYf7x/Oj/AIR2H+8fzo5an834B7bC/wDPl/8AgT/yOb/4W1pn/QMv/wDvlf8A4qj/ AIW1pn/QMv8A/vlf/iq6T/hHYf7x/OkPh6EdW/WjlqfzfgHtsL/z5f8A4E/8jnP+FtaZ/wBAy/8A ++V/+Ko/4W1pn/QMv/8Avlf/AIquj/4R+D+/+tH/AAj8H9/9aOWp/N+Ae2wv/Pl/+BP/ACOb/wCF taX/ANAy/wD++V/+Ko/4W1pf/QMv/wDvlf8A4qt240CD91h85lXvSQaBF+9UHLeY2BmjlqfzfgHt sJ/z5f8A4F/wDE/4W1pn/QMv/wDvlf8A4qj/AIW1pn/QMv8A/vlf/iq6IeHIVGS3Pck00eHYpOST t7D1o5an834B7bCf8+X/AOBf8A5//hbWmf8AQMv/APvlf/iqP+FtaX/0DL//AL5X/wCKroW8Pwrw CSx6DNC+HIRyWye5zRy1P5vwD22E/wCfL/8AAv8AgHPf8La0z/oGX/8A3yv/AMVR/wALa0z/AKBl /wD98r/8VXQDw9FJ3Oz6/e/+tSt4fhHAOWPQZo5an834B7bCf8+X/wCBf8A57/hbWmf9Ay//AO+V /wDiqP8AhbWmf9Ay/wD++V/+Krol8OQjqxJPU03/AIR6KQ4DHaOpz1o5an834B7bCf8APl/+Bf8A AOf/AOFtaZ/0DL//AL5X/wCKo/4W1pf/AEDL/wD75X/4quhbw/CoAByT0ApV8NxDktlj1NHLU/m/ APbYT/ny/wDwL/gHOf8AC2tL/wCgZf8A/fK//FUf8La0v/oGX/8A3yv/AMVW5c6DFhMHIEgBOadH 4ehN5MMngLRy1P5vwD22E/58v/wL/gGD/wALa0v/AKBl/wD98r/8VR/wtrS/+gZf/wDfK/8AxVbd 3oEayw7G+Yk4zTD4e2RuWljCA9eevoKOWp/N+Ae2wn/Pl/8AgX/AMf8A4W3pf/QMvv8Avlf/AIqj /hbel/8AQNvv++V/+Krbt/DMUiCWY5JHyr2AqX/hG7fzgvGNpOPxo5an834B7bCf8+X/AOBf8A5/ /hbel/8AQMvv++V/+Kpf+FtaX/0DL/8A75X/AOKrZuPDMcKmWI8D7y54NKvhx3RWEsZ7g85o5an8 34B7bCf8+X/4F/wDE/4W3pf/AEDb7/vlf/iqP+Ft6X/0Db7/AL5X/wCKraj8NQyXEqzYYqB0JxU3 /CKWf939TRy1P5vwD22E/wCfL/8AAv8AgHP/APC29L/6Bt9/3yv/AMVR/wALb0v/AKBt9/3yv/xV dB/wilp/d/U0f8Ipaf3f1NHLU/m/APbYT/ny/wDwL/gHP/8AC2tL/wCgZff98r/8VR/wtrS/+gZf /wDfK/8AxVbL+G4oLlPLJCyfL9KfceH4RbyBDwBySetHLU/m/APbYT/ny/8AwL/gGJ/wtrTP+gZf /wDfK/8AxVH/AAtrTP8AoGX/AP3yv/xVdEnh2HYvzHp607/hHYf7x/OjlqfzfgHtsL/z5f8A4E/8 jm/+FtaZ/wBAy/8A++V/+Ko/4W1pn/QMv/8Avlf/AIquk/4R2H+8fzo/4R2H+8fzo5an834B7bC/ 8+X/AOBP/I5v/hbWmf8AQMv/APvlf/iqP+FtaZ/0DL//AL5X/wCKrpP+Edh/vH86jh8OwmIfMep7 +5o5an834B7bCf8APl/+Bf8AAOf/AOFtaZ/0DL//AL5X/wCKo/4W1pn/AEDL/wD75X/4quk/4R2H +8fzo/4R2H+8fzo5an834B7bC/8APl/+BP8AyOb/AOFtaZ/0DL//AL5X/wCKrofDviq18R2zzwQT QBHKbZQATwDngn1p/wDwjsP94/nVm00qO1bcpyaqMZJ6v8DKrUoSjaFOz781/wBDQzRRiirOU5rx doFzrSwPb6nc2RhDZEBI35x15HTH61yB8Havn/kOah/323/xVd94j8Q2XhvTjd3h3MeIoh96RvQV 5dd+N/FOtSF7EfZYgeFgX+ZPWuao6alqrs9rBRxk6V4SUYLq7W/I0v8AhDtW/wCg5qH/AH23/wAV R/wh2r/9BzUP++z/APFVi/2v42/5/Lr9P8KP7X8bf8/l1/47/hWd4fyM7OTE/wDQRD8P8ja/4Q7V /wDoOah/323/AMVR/wAIdq3/AEHNQ/77b/4qsX+1/G3/AD+XX/jv+FJ/a/jb/n8uv/Hf8KLw/kYc mJ/6CIfh/kbf/CH6sf8AmOah/wB9n/4qkHhDVWzjXdQ4OPvt/wDFVijVvGw6Xd1+n+FINW8aEEC8 usd+n+FF4fyMOTE/9BEPw/yNs+D9Xzj+27/pn77f/FUDwhqxJA1y/wCg/jP/AMVWJ/avjTbj7XdY /CmjVvGOCBeXX6UXh/Iw5MT/ANBEPw/yN7/hDtW/6Dl//wB9n/4qj/hDdW/6Dl//AN9n/wCKrCGq eM8Efa7r9KQap4yJwLu6/MUXh/Iw5MT/ANBEPw/yN7/hDdW/6Dl//wB9n/4qj/hDtW/6Dmof99t/ 8VWF/afjP/n7uvzFH9peM/8An7uvzFF4fyMOTE/9BEPw/wAjd/4Q7Vv+g5qH/fbf/FUf8Idq3/Qc 1D/vtv8A4qsH+0fGf/P1d/mKP7R8Z/8AP1d/mKLw/kYcmJ/6CIfh/kb3/CHat/0HNQ/77b/4qj/h DtW/6Dmof99t/wDFVg/2j4z/AOfq7/MUf2j4z/5+rv8AMUXh/Iw5MT/0EQ/D/I3v+EO1b/oOah/3 23/xVH/CHav/ANBzUP8Avtv/AIqsH+0fGf8Az9Xf5ij+0fGf/P1d/mKLw/kYcmJ/6CIfh/kb3/CH av8A9BzUP++2/wDiqD4O1jjGt3/v87f/ABVYP9o+M/8An6u/zFH9o+M/+fq7/MUXh/Iw5MT/ANBE Pw/yN7/hDdW/6Dmof99n/wCKo/4Q7Vv+g5f/APfbf/FVg/2j4z/5+rv8xR/aPjP/AJ+rv8xReH8j DkxP/QRD8P8AI3v+EO1b/oOah/323/xVI3g/VgpP9uX/AAM/fP8A8VWF/aPjP/n6u/zFB1Lxljm6 usfUUXh/Iw5MT/0EQ/D/ACNpPCerMyj+27/5l3ffb/4qpP8AhDtW/wCg5f8A/fZ/+KrBXVvGQKkX lyDt46dPyqaPxZ4u0tvOuJnmj7iZQw/Sjmp9YsPZYt6Rrwb7af5Gu3g7WAp265f57Zdv/iqPD3iP VvD2uDRtYmeWKQgRu5yQT05PY11XhTxnZ+IINrqsNyo/eRk/qPUVkfFHS4202DVbfaJLaQZIP8J/ +vitHGKjzwOWnVq1KzwuKW+myun0asd/bzLNEHU8GuD+Ljt/ZFhCP+WlwR+lbng3U/t+lQyE5LIC fr3/AFrmfirMzano9r2LF8fiBV1nemzly6DjjIp9L/gmdN4QQrZrnqFA/Sn+NdA/4SDQ3t0IEyHf Ex/vDt+NTeHCi2mdy/nWyXQjBdfzrVxTVmcMKsqc1UjutTx6y1HxppcH9nwRLHtG0SMoyPxNKnhj VtauBPrF9NcuTnbkkD+g/CvVpLGzkfcwTP1qWOC2i+5sH41kqMerud0syqK7pxUW+qWv3nFWngyG 0tdywrHyOQOevrXQ2eg2SXE2+IOVIxn6VpXjIbVgGHUdD706D/j6uPqP5Vqklojz5TlN80ndjV06 zQcQKKGsoVO5YlI7r/hVqua8aeJb7wvpp1G30xbu2iXdO5mCbOQBgd+tMk1mVbdlnhyIwcOvpV4H IBFee6n471LTvDf9q6noItftMkUdrGLgHzd+Tk+mAB+dNufG9xpGiTanq2lLHGskcFulterL5kjB jgkcKAB3oA9DZgilj0AyadXC2mt+IpknFxoUORAZIJIL8SJI2QAhPY4OfoDVXQfGGseIbm4S18P4 hs7gw3EpvhhWHXHrQB6JRXnWkeOLrU9I1XVp9Ka0stNSQNL9p375UxlQP61E/wAYLGDwZBrL2R+1 zTGFLPfyduMsT2GCKAPRmQMcg7W9RSbynEn/AH12Nch4r+IcPhfQ7G8ktPPvLxBILVX+4uMkk+gy BXVWV9DfafBdoRsniVwM+ozQBOzhcZzg9+wp9ZWoavpujWZury9jgh3bcSt1J7Adc+1ZEHizw6+m i/k1hEg8/wAgs7MuJMZ24I645oA6ymqwYZHTJFc7B4l8N3OnTanDrCNZ27bJpDIR5be4PNVh4s0K XRNS1Cyvhc/YInkdFcqRjJGQeeaAOsqmkZu5WkkP7pThU9azvDs82seHrHULqI21zcwiUxLISoB6 YJ9sU648RaToNvGupXqQPIzbEOWZgDyQBz+NAGr9jtv+eQo+xW3/ADyFUYtQtdVS2urS5EtpMhZZ EJAI55/Sq2m654e1i6Frp2rx3UxRpBHHKSdoOCfzoA0preKJoSkYUmVRxT7XA84nA/etk02W2t4o mlllZEQbmZnwFA75rG8P+J9E1i4ays9SinnGZBGMguPUZ6j6UAb/APrTk/c7D1pzNt4HLHoKGbbg Dlj0FcLP8TLW21PVbJbN7ie0mW3t44my91IewHYDnJ9qAO6VduSxyx6mm/63/c/9C/8ArVxmseK7 2zu7S2m1DSdPlliVrq3uZCXgJPBXH3/THrW1J4z8PQ6gmmtq1ubtmEYXJxvPQE9AfagDbZtuAOWP QUKu3qck9T61mf8ACQ6NDBfTvqUASwk8u7cnHlN0waonxVbvrV1bme0XTbSyFzNced+8XOCMpjhS pzmgDf8A9YcD7nc+tOZggAAyegArHsPF3h/VLw2Wn6nBcXAi8wRof4fX6c0yx8X+Hr6/NnbatBNc kNgKThtvUKehx7UAbSLjljlj1NISXO1ThR1I/lWWPE+izWdrdR6nCba8k8qCQH/Wv/dXvmoz4x8O pqY0sapAbov5YjB43/3c9M+2aANO6AEcYGB+8XAp0f8Ax+z/AEWqWtX9ppWn/bdQuo7aNZFBkkPy r6VmWvinSNQF9Ja6xbyC1QNcsoP7tecH9DQBsyyPLdxCMjjIB/DmluY3W3YsEPI6E8c1yuj+KotQ 1648rULM2NnGWECoRMwxzI2cYXn/ADmrrfELwtdDyF1SBi8ZcEN1A6kfl09qAOm/fAYCx/maZ+98 8cJnYe59ao6Dr1hrenpc2V0k8ZJUOvfH9a5TXPiRLp+tana2WmxTJpKD7QZrgRvJnBxGv8VAHdt5 xU7hHjHPJqGz837ONu0qCcZJqCHUjfabBNFDJG9zEr+W33kBGcH3qxFOyIEW2kOwY7UAEXmfbJeF zhc8mrQqrayeZdTNtK8Lwat0AFFFFAFa7+9Bk4G/r+FMucfZXP3Vx8o9afd/fg4z+86fhTmUtlSA zsPwUUASR/cX6Cn1TFu6HZHO6qOvoKURy4LG5k29uBk0AW6Kp+XcLtxOS5/hYcAVNbymRWVwA6HD AUASN90/Smw/6lP90UTMVhdh1ApyqFUKOgGBQA6iiigAooooAKKKKAPH/i1NI/ia1gLExpahlX0J Zsn9B+VdN4R0O3ltEZ1G1RgCuV+K/wDyN0H/AF6J/wChvXoHg/8A5Bq/Sual/Eme1jnbBYdeT/Q5 Tx1rc/hzVYbWyhhMbxbjvTPOa5j/AITvU/8Anhbf98V7HqmjW2pgedEjMBjJUE15Z8RdFg0aSzWF FXzAxOBU1ozinJSOjLauFqyhQlRTfcof8J3qf/PC2/791v8AhDxJJrN/Jb30MIAUFdi4rH8E6VFq bssig4bHIr0mz8J2tkTJEgVsdQKdKM3aTkRmFfCwc6EKSTXX+kcL4h8dRQ38lrpFpCYoztMzjJY9 8D0rH/4TjU8YENsP+AVj39nLpmrS213Gd0MpDA9xn+tdHZax4ZjgC3EExbHOIwf61gpyk3eVj06m GoUIRVOh7RNbl3wv4pn1PVltL2CExspOVXBzXS+LZP7F8PG9sbeMsjqrb1zwazfDN14d1HUDDZRy JIo3fvEAyK7q8022v9NlspY1aJ1wwPeuqCbptKV/M8HEThDFRlKlypWvE848I+JE1W8ez1BYoyRm PauN3qK79dKtFWWQIG2x5BIrxzxB4cu/D160kJdrdWzHKOq/Wuy8D+M/tx+wahzMFwrAffH+NRSq NPknudWPwUJR+tYbWHVLp/XU5mXx3qKyuotbYAMR9ymf8J5qX/Ptbf8AfFel3fhXTrx/NFsozzwl eP8AiG3W08Q3tugwscxUCsqqqU1fmO/ASweMm4KilZXNX/hPNS/59rb/AL4ru/D99Fqfh/7bNAgn ETMQBxkZxWd4d8N2d9ZrJJCSSP7ldM2nQabpF0saOP3TAfL7V0QhON25XPGxOJw9bljTpcrucBo/ ja4vtWt7e4s7ZYpGwxUcivQb2C1t9DuL+KFGaKIuoI4JArxLRzt1W3PPDjpXst5cKfBt4u18m3b+ H2qKE5Sg22dWaYelSxVOEI2Tt+Z5z/wsC/P/AC5Wo/4CaF+IF8GBaxtSPTBrA0lFk1KFGGQTjGK7 jxB4dsofCs16sREkagqduO4H9axg6koOXNsejiI4KhiI0HRT5ra+rsJP43tpvD7XNpbRx3yMoeJx kYPce1Y8Pj+9Rh5tlbSL6YIrK8NAHV1VhkMpBGM9xXa+KfD1lF4ZmvlgIkjUENsxjkVSdScOdS2M akMHhsQsNKlfma17XNzwzrWjeIoj5cQimX78TYyPf3FausnRtC0972+KpGvQAcufQD1ryLwZctba 8rrnlSDj6itr4oXr3N9YR5cIkJO0jHJPWtFWfsufqck8tp/2h9XT93f/AIBDffEOSSVhZaZBFFn5 fM+Zvxptr8QZA4W802F4zwTHw1QeE9NsboB7llUk9WIrZ8T+HNJGjT3dq6maBd3yEevfFRary8/M dLlgFW+rujpe1/PY1X13R30uC7tLdLlmTHlscbSOual0e40/XBLBPYpE4UkBeQw6GvOfDSrNqYtp ATHIM4z0I6H6161pGgw2KvNCpMswyzMck+5ropT9pG7PHzDCrCV3CL03R5h4RPleJWVFyAGUA/7w r1nXNLiv/Ct1AI1LvA20n1xwa8m8K4HieTP+1/6EK9tgTzrIBh8hXp61nh1enY683k4YxSXRI8++ GN9m08ktzG5GPY8/41D4+m+1ePNNtSARFGDz7kn+lVfC2dK8X6lp5GwLKSo9geP0NJq9x9v+JcjE fLbqsefoP/r1Kd6cV52NpQUcXWqLblcl81/wT0TRLO3j05S0a9OprRW0hY7jCoHYYqHTIz9jjLDA A4B/rVtmx8q8segrrPnyJre3HyrCpY9BSrZwAcxKT64qVU2jrknqfWm/63gfc9f73/1qAKlzDEIS 8caqARyB15qxB/x9XH1X+VNviBbFfcYH406D/j6uPqP5UAWK5X4g6BqPibRINLsRHse6ja5Lvt/d g849a6quV+JF7d6d4Kvr2yv3s5YlGGRQS+Tjbz069RQBlfEXwxq2tnR00+ztrqy09i8sM82wSHgA Hjpx+tVbjw9q9l4ft7W28K6OYriZze6esvyE8BGVsdcA5/Cm+JbbXdO8B6FbWwvJwTENTmt8tMUw M4785NU/BE39qP4m0+3u75NMSdI7MyyEyoSG3qrEnnpQBoeDfDGqeGzrNzNbx2cd5Hi009JjIkTB TyWPTJ/z0qz4e8L654Z8AGztbe2n1uWZ5ZN82EyzYzuxz8oH41h+CUkfx1qMEX2+wgtLEGXT765M 8jueQ+egGCO/861fGU8mpeN9O8LLcTWll9le8uzA5RpQNwVdw6DK8/WgDNs/BPiKH4XT6D5cEd1L Plys+Q8ZYFyTjrgYxU+ufCiOWWCTSFUi4uonujMwAiiQDhB7kZrm9N1zU7zw7pugQahMBqeryQR3 RYmQWy7eAfx6/Wux+HKuNb8R2EVxNdaXZ3CR25nkLlWx8wBPvQBQ1b4ba14ivdW1O6vVsJXjNvZW sJDoYQOAxI4yR2rb8IJqqy2+j3FpClrpVokN1MVJMs+OiH0A6n1rk/Ferte+P9SsUn1g21jaCOGH TAxPnkZG7HQZ9a2dM8R+LtOXRfDjWUF/rE1k9zcm6lKmNdxC7iM89M0AbHjnw/cavFZw2ujJeRRO ZPMS68iWFx90qcEEdc59q4i603xIt34a0q9jXU7q3mm1GWPIC7U4jDPjBPyt168CtbW/iFqul7ZY IdLvQs0dvLFAkzAyH7yiU/LnOcDnpWdrmtX8HjTWNWsEtnj0LTFicXDsF3Od3AHVsEjmgCxN4G1o WK6nJb20l7caumoXFlv2xNGucR7sYPXr71av/A+vazZa3ftFbW99q7xRLbpL8sMCtlstjljirGp+ OrmHRbOe0WwW7+wLdXdtJFLKyZUH+HhV68sa6nwxqbaz4Rs9XuLWO3muYi/lAnAOTjHscCgBmi22 tJqFza3LRR6XaIkVmUPztgAEsO3Suc8UeHtc1bVFutM0/bPboUtdQivfKdCfvB1IIIzXGPqeqwXd lPdvqsPiGbVthVywgMOfuqOhGPavbbMW0ySbCj7XIOGzigDEurDV18MpYCSKbVTYtEZB8iNIVIJ6 cdc1W0zw9qfhvwnpVnotnY/2knlpeTSY+6eZCDjLHPSsDXNb1NPiusWl2E9/Bpdn+9t4ZxGpZgTu JPHAP6VpfC/UrvVrPVNb1Gd1/tC/f7NFJJkIg/hX8SRx6UAdB410a88QeD9R0qwmWK5uIwEZjgHD AlSfQgEfjXJaZ4d8RXOoW2tixsrCXSLJ4LG1WTcJJWTbliBwtYPiTWbnVfHHiCGGfWXWzhW3sYtO DFRcAfxkcAbs9f6VvaF4j8TrDF4fgitX1Oyshc6jdXrHapP3U+Xq2MZPTrQB2tn/AGpFpkMmpT2y XzoA4X7u89FBNea6b8Odesnh8RWc1o2vJqEks6CbdG8bHlc+vJrRfxddePNJ07RrLSbdrzULZrq4 +0SMscCq5UMpXkksvHpTpPF2p+HntvDFpptnDe29uZrl44pZ4lyTtACAsS3Uk+tAGxpvhPUJPFes 63qiWpNyqRWm5RIY1UdfYg1ztl4D8RyaZB4durazhtItQ+1z36ybnnAYkAL1B5xWlbeP/EN/Jo9j Z6FANSvYZZZ4bl2iEYQ4B55APXkVBqnxB8SWiayYbDTSNEii+1SM7kGVsBlX15PegB83w/1a88aX slzNB/YNzcpeSRg5aaRVACsP7uSSfXFQ6r4G8S31r4paM2oudbuokQ+ZjbbRnjnHHAxirN/4qRvE mnXN9aMn9naO2pXOyZx5bMMbNucMTkYz61aj8XeJbXRR4n1XT9Pi0Zrcz+VFIxnAI/dj0ySVB9M0 AVrzwFqlxrmqz2721tAdH/s6wZOCMjkkDp3Gfeo9I8Ha9d3Ogrqdpaaba6DEVQQvvaeTbjdwOB3/ ABqx4b8c67q2u6dbXelp9lv0dmaK3mQ2pC7lDM42tkeleg0AeaeFfh9rNjdyPqlxAIrHzl0xEO4I ZCcyH3AxiqumeBfEcthpmh31tZ2tnp959qlvEk3vcMDkYGMjPfNeq0UAcj418O6t4ji0yyhaBrVL 1J7rdx8i9AB3zk1gXng/xTbza/f6X9mhuNQu4ljSNgpNsgPAOMKx4/KvTaKAPJYvAviOKfXrsxxr ealZC0tBJdeYwUjEm58fjWrbeBry11vSJYba1e30fSDCmSPnuiMEkY6e9d3dJ5lxAu4rktyO3FH2 Rtu37RJj0oA4zwr4e1zw9o2jaX5Np9nVpZNTl35bcTlQnrxgZrmNS+Hmv6hf3iXNnbSXVxeCeLV2 uDvhiB+7tx2HavW/srHH+kScdOlJ9kbcW+0SZxjPFAGH4Su9Sv4rqaaMRWYk8u1ZkxJIq8F2+pBw K6DjbtB2xjqfWoxaMBtFxIB6cUfZGwB9okwOnSgAtzm7mwMDC8Vaqpap5d1Ou4twpye9W6ACiiig CtdZ3wY6+Z/SqLySvI2Q7KCeF7mtOWFJgA+eDkYOKz2keG02ocAyMM55oAh8xASPnx6FqcjLI2Pn BxnlzximwztETtAbd2IzzT4iqSsX4POFxigB5jAMZDN87AH5j0/wq/DAkJYpn5sZyc1ng5uVyx/1 ikD61qUARz8wkd24H1NSCoGJO7J6SqB+lSRks7nPGcCgCSiiigAooooAKKKKAPG/iv8A8jdB/wBe if8Aob16B4P/AOQav0rgfiwjL4qt5CpCG1UBscEh2z/MfnXd+DJUk0xGRgQRkYrmpfxJntY//c8O /J/odPXl3xg/1+nf7rV6jXLeM/CkXiSOF3kkSSDO3Z3z61pWi5QaRx5fXhQxMak9lf8AI4r4af65 /wDfr1qSRYrdpG+6ilj+ArivCfhN9FlOSzAnOTXaTRiSBozyGXBFOnFxgkyMZVhWxMqkdmz561fU 7nX9ZkupyN8r7VUdFGeAK3NP8CzX0QdZG98Vm+IfDt94f1KRTG7QByYpgMgjPGfQ1Zs/HmvWMIhh mi2j1hU1wRcIt+0Wp9bXhiK1ODwM0o2/rozqPD3gmXTdQ8/zGORgnPaux1jW7Hw7pqz3zSNHkL+7 AYsa4zwd431TUtTa2vxE8RTIKxBcHPtXXeJdBh8R6ULVi0QVg4MeM5rtg06d6aPmsRCccWo4yV9r tdjifFnxA0vVdJlsdPspC0wwZJQFC/QCuW8Kwyya3DJGD+7Ociuoj+GhEuCzuvua6rQfCMGmzg7A MD0rKNKcpqU+h21MfhaOHlQwqfvbtnTWG77Gm7rivCPF/wDyN2p/9fDfzr39VCoFHQV574i+HsN/ q019E02+d97rkYz3q69OU0kjmynF0sLVlKps0b3gv/kGp9K2tW/5BN3/ANcm/lVHQLF9OtFjKNwM dq0LpGubWWHyyBIpU5OOv51u9jy00pJnz3o3/IWtv98V7Te/8iXef9e7fyrkYfhw1lqMcsMrsqHI 3kH+QFd8dME+hyWEhIEsZQkdelc9GnKMGmevmOMo18TCpB6K35nhOg5/ti3x/er1fxSuPh5eluTs Xn/gQrDtfh19g1NJYpZHVDxux/QV29/oyal4el0yYsElUAleowc/0opU5RpuLKx2No1sZTqweitf 5O54t4T/AOQ9F9D/ADFeq+NP+Sf3n+4v/oQrA0rwAdM1QTJJI4Xgbq7fVNIj1TQpdNmLBJVwSpwR 3p06co03F7kYzGUquNjWj8Kt+DPFfB//ACHY/wDd/qK6n4gaDqOo3lrdWsHmRLDtJz0NXdL+H/8A ZmqLcRvIwXgbq79LSN4FjkXOBShR/d8kisTmSWM+sUNdLangH9gaqvAtnH0NTR6ZqVnBczTRukfl ENk+uK92/sq0/wCeY/KsTxlpsMfhLUGiiy4i42jJ6ipeHhFNo2p5ziKs405JWbX5+p5F4YDHW4gp wcele52cU4sBiZeR/drw/wAKox12LCnp6V7rbusWm75GCIqEsxOABjrTw38Myzz/AHv5I8S8MKze JnAYA/N2/wBoV7Zax3H2VP3y9P7leKeFGDeJnYHIIYg/8CFe5Wn/AB7J9KrDfwzPOv8Aevkjyrxl bzeHPGUOr4LxXA+dgOpAwf0xVLwpFPqWrz6gxIM02BkZ75r1nVtIttWtzDcwpKvXDjNZ+n+HbfTG Ty0VQHGABjFUqVp819DKWOUsN7Pl96yV/JO6NSCC6SFV89eB/cpywXK5xcLz3KVZHApa2PMKzQ3L DBuFx/uUeVdY/wBev/fFWaKAKF1FMkLO8qsMjI2470sU+yWV2ilw5BGE9qmvv+PVvqP51YoAr/bF /wCeU3/fFYXiLw1ovilojqtteyCIYVY5HReueQDgmulooA5TUvDGmXei22mhtRghswRHsuHUkHGQ zZyenenS+DPD8uhw6KkZtre3k86JoJijb8EbiwOSee9dDe/8ekn0/rThbQED90n5UAc/pHhXRdAS 5m0/eLqf/XTTTGR5MDoST0qPW/Bmg6/dRXt8ZvPRDGZYpzG5Q5ypweRya6Ga3hWCQiJAQpxxUn2a D/nin5UAczqng3w9e6Pa6c0Aii08E2jW8hR4z9Rzz+tbGgaHp/h/So7LTYPKi++xJLM7HqSTyTU1 7BElszJGoORyBVqL/Up/uigDP0zw/p2kX19e2kTLPfyeZcOzlix/HpSx6Dp8fiCXXVib7dLCIWkL kjYOwHQVpUUAcpB8N/Dlu8RWK6aOC6F1FC1y5jSQHOQucdaB4P0C507UbaaFj/bEolvP37AuVbI5 zwB6CurqhYRRyQsXRWO7HI9qAOfvvAPhzUL65uJDOhuoliuBFdMiyKoAUEA4OAAPStiy0+xtNNit FOIYYxFEm/lVHAH1960vs0H/ADxT/vmo4beFo8mJD8x7e5oA5qy8F6RpEjX1m7XGpiMpbz3k7TeS SOMZPGKu+F/D6aNoy20dzI0jOzzyjrLITlm/Otv7NB/zxT8qZZYEBA6B2/nQBiR+GNNs9avLmNZT PqqkXUjSHLDBHH93r2qS18E6HZRaXFBbSKmkyPJaqZmIVnOSTz83PrWpP/yEYPof61coAzNI8P6d oT3slhEyPfTm4nZnLF3PU5NYs3gjRtbuZNQuVuI5pU8mYwTtGJk4+VgDyK6yqmm/8ex/3v8ACgDG 1HwDoGoyWsvkS2klpD5ET2kzRER/3fl7dfzo1DwFod/NBPtubaeCEQLLbXDxs0Y6BiDz+NdLRQBj WPhXSdO1OPUbeGT7TFbC2R3lZsRjtyevvVefwRoVzZ6haS28rRalcC4uh5zZkce+entXQ0UAYzeF dHe9v7yS18yXUYFt7jexIaMDAAHbj0qlp/w/0HT7a5tVjuJ4LiEwGK4uGkVY8g7VBPHIH5CumooA wNC8G6X4fuRcWcl47LGY0We5eRY144AJwOlb9FFABRRRQAUUUUAV5v8Aj7t/+BfyqxVeb/j7t/8A gX8qsUAFFFFABSUtJQBU8syXk2JGTAX7vfipPsr/APPzL+dEX/H7P9FqxQBX+yv/AM/Mv50fZX/5 +ZfzqxRQBW+yv/z8y/nTDp6kYMshGc4461cooApjT1UgiVwR06Ur2Ik+/NI31xVuigCmNPQEESvw cjp1pZYHjidxcykqCetW6iuP+PaX/cP8qAKazSZUtCWOQ+Sw5+X/AOtmpo5Z1QAWrHv94fWovvPH H6xp/h/Imr9AEHnz/wDPq3/fYo8+f/n1b/vsVPRQBB58/wDz6t/32KPPn/59W/76FWKKAG5PoaKd RQBzXjLwvD4jsArfJPFkxSAcqf8ACvN7ODxf4YleGyzsz22sp+gbpXthGarzWFvMcugJ+lZSpRk7 7M76GPqUafsmlKPZq6PKx4o8feif9+46D4n8fHsn/fuOvT/7ItP+eY/Kj+yLT/nmPypex/vM0/tB f8+Yf+A/8E8w/wCEn8ejsn/fuOj/AISjx96J/wB+469P/si0/wCeY/Kj+yLT/nmPyo9l/eYf2gv+ fMP/AAH/AIJ5Ndav4zvFxPDG490jrP8AL8RsT/ocfXn5U/xr2n+yLT/nmPypq6RZ84jHXnij2P8A eYf2iv8AnzD7v+CeOwP4ptpN8Nqit67UrTXxN48UbVCcf9M469R/si0/55j8qaNJtN7Dyx27Uex/ vMP7QX/PmH3f8E8x/wCEn8e/3Y/+/cdJ/wAJP488zom7H/POOvUf7ItP+eY/Kov7ItPtP+rHT0o9 j/eYf2gv+fMP/Af+Cea/8JR4+9E/79x0HxP4+PUJ/wB+469P/si0/wCeY/Kj+yLT/nmPyo9j/eYf 2gv+fMP/AAH/AIJ5h/wlHj70T/v3HR/wlHj70T/v3HXp/wDZFp/zzH5Uf2Raf88x+VHsf7zD+0F/ z5h/4D/wTy//AISfx76R/wDfuOl/4Sjx96J/37jr0/8Asi0/55j8qP7ItP8AnmPyo9j/AHmH9oL/ AJ8w/wDAf+CeX/8ACT+PfSP/AL9x0v8AwlHj70T/AL9x16f/AGRaf88x+VH9kWn/ADzH5Uex/vMP 7QX/AD5h/wCA/wDBPL/+En8e+if9+46X/hKPH3on/fuOvT/7ItP+eY/Kj+yLT/nmPyo9j/eYf2gv +fMP/Af+CeX/APCT+PfSP/v3HS/8JR4+9E/79x16f/ZFp/zzH5Uf2Raf88x+VHsf7zD+0F/z5h/4 D/wTzD/hKPH3on/fuOmv4l8eSIVdUIPUeXHXqP8AZFp/zzH5Uf2Raf8APMflR7H+8w/tBf8APmH/ AID/AME8bFx4oF6ZhboJsf3UqXUrzxlq9uLO7dxbngohVVP1x1r1RdKtf7TceWMbPT6VbGk2gOfL H5UnRvo5MqOZuL5o0oJ+n/BPOvB3hOS3nWeRcuerY/QV6hEmyNV9BTYreOEYRQKlrWMVFWR59atO tN1Kju2FRTf8s/8AfFS01lDYz2OaoyHUUlLQBgeKLme1m0V49QNjC1/snlyAu0wy4DZ4wWCjnuR3 xXM6n4g1S90bXkmuLeMfYL0Na+aomhKK2whANw4HJJIOQRgYr0QgHqM0YHXAoAzJbgyXN9D9sjl8 ryv3Cphoc/3jnnPb0xVa71HVYvEMFrDYo9u0bnJnA3YK8/d4xk8VqX3/AB6t9R/OrFAHG31/qaeM 7A3kN3bWRa4jUCWMRNGI8+Y2HznvyOB0qjFfWlxZ3V1YXyLpUt1CrotzuZIujSNySgY469R1616B gGkCj0FAHO6PMreF7t3mzarPOIZTISPIDnaQ3pt71zxvra40y8udL1COKxnurdVRrgsqICd0k2Gy ivjGMjoM4yRXe3oH2OQY4x/Wpgo2jgdKAOBuNRFv4Ot5pNUNsU1dEQrcfu5YzdKCqseWjCE/gD2r p/Eu6TR1ljuYY4Uljkl82fykljyMrv7Z/I9O9ak4H2eQYGNp7e1SYBGKAPO7+/t18JQxahKI7q5n lXT1lumUKm7hy5x8qjoT2xjqK05bqxl1/S7O31OP7fCInubhrnbvTbwirn5i/XAHv6V1GoAfZG4H UfzqaIDykOB90fyoA5vxmsKJa3ct7aRC2WVha3RIF0SowowwO7jjr16VWlvrC68TabBbXCWl9F5c lyslztKoUIEIUn5icg4A7ZPNdfgHqM0YGc4GaAOY0ue0PjF00+6S4gktXaQQzGTY4Zf9bknDHJ29 OA3pWc/iK/sNUvoIn+1OqSta2duUfcVh3gSL/rFJYEAjKnKjqa7kAA8AVT00DyGOP4z/ACFAHK2n iDVriJI4dTsZ/OuYIlmVkmZN4feCqhQPujAPPXOcVMNa1MXF3pLspms1mnml8sqJIdp8sjHQlyR9 ENdhgDoBUcA/d/8AAm/maAOQ0rxBdPqkNpc3yYktg0aQlJFiHlBsyj/WKc555U8dDXQ6PO8uixzp Kl27AsJEGxZT6jrgGtHAznAqCy4gP++386AOah1XW5Li8f8AswSzQPIsKCdTk9l5A45znPaqFrqk Npp2r/8ACRG7cJqCpGlzMimSRo1IjG19oGcnBO0DnscdjN/yEYPof61bwD1AoA86vp5LfSUSbVFm uYtHLadJFcFlluwx4Q5+cgiNfXBPqa6PVb3TbHQXl1NsxGYLHH5mzzXP3VzkD8zgYyeldDgegqrp wBtjkZ+f+goA4DUp7iGzs4zq0EjR6ezRublsPIX48hgfndR8vOSeOmTXSx6jEPHsdsdRP77Ti32S SUDY+9cfL2bGa6TA9BxRgZzjmgDkPF5uoL5ZYp0eSSJVtIRdGORJN4yyoAd+R1PpntT3vNPn8Xww wX8UNzbBjfM11guSn+rVSecfeOBhcfXHW4HpSYGc4GfpQBzHhO6sb3Ub+50y7RrJ1RY4PP3uSpbd KVJJXdkDnkhQT1qJ2gs/GpkN1aXj3dzzDuInslWAZY/NjZlM8gcydTnB60ADoAKMDOcc0AcNp+qa D9l1bUft6jRvLiURC6LSSMGYGQjdkbyyqAeWxz1FbfhyR4/DLzRyx3TBpZI4ophMIwSSse4E5IGB +g4xW7tHoPypQMdOKAOEsPEur3Nmrm+tGed4FYK6PJbs7YZSgA2gZwA2SCOc1YXxBqVnJvubt54l kuYGVYU3Hy1yr8AfN69vYV2W0DsKXA9KAODs/EV7eSxQyXcVygv40WWOVXJV7eRyCUCrkEdMHHqe tbfhe6Z7DTIGvoyTp0chtyuXJzjfuz07YxXQYA7ClwPSgDkNS1K8XxULK3n8kSXUUO/G4qrQuxwD xn5R2/OsuXUdRuZ11N5VmlsbGVkRogy71naMy47HCgnGOhHGa7uYf6Zb/wDAv5VYwPSgDiL7W7yX TZ0huzfWyXJjS7hIXz/3RYJuTA+/hflxnOOuaqpNf22mawlldXaJHFIUfyXj242bXUMOM5fp1xnt XfTQQzwtDNEkkTjDI6gqw9xUdpZWlhD5FnbQ28Wc7IkCrn1wKAOPXxJqJ1RIIdSsmiQR+WZpUUXS kZLgAZbnpsOODkVWfxBfXFsok1gxPb3sX2i5iaJoEVg2QHX+HgZD8jiu/wBo9BRtGMYFAHCjWNRO qXdvbXfkj/TpC4UOT5LR7B82QAd5z+mKmk8SX1ukiXN6V862s545gscawtM0oKlmBCoPKGCwY5bH ORXWxAfbZ+Oy1YwPQUAcpaeKZz4Re7d4Z9TWO7MMafMJhBKybhgDcOFJwBnPAHSoNQ1/7NFaQWXi u1uJ7qUqksnk7MDBYsRgYX0HJ3Ae9djgego2r6D8qAAcgc59/Wue8RavqmnahBbWSRuLqM+XuXO1 lO5z9NgP4muioIoA4tvE2tSWtlPawpI2qRyPaxlPubTuw31T5fqaH8Ta3LaWk1lFFM2qLM1mpTCj a25Ax948/iK7TA9KMAfhQByx16TUvCl/NFc+XeXNrdz2Kxgh/KQlUYd88ofq1Zd54k1FBDDb6paP ELRJY7iaWNFu2LMHXODu2hQMIQQTz1Fd7gegqK4UfZpOB9w9qAPPpdav54LjdqmyW3eFnnt2jaGF POAI3Lyvyk5V/Q84BrUbV75tRNpa3oVZryRPPVQ5KrbCQFc5UZPoMV10AHkR8DlR/KpMD0oA4dfE +oQWwku7skXFik4dERBA5k2dSMBe5LZx+lX9J8TTS6FcSTyQ3N/G9ylskT7vtPldMEAA9uQB16V1 OB6UgA9KAOJu/Ehh062Nv4qtZLy7YKokEISNsAtu6YVRzg/NyBnmu1iOYkJcPkD5h0PvS7V9B+VL QAtFFFAH/9k= ------=_NextPart_01C794E3.060E3570 Content-Location: file:///C:/D12AB0D1/dyna_teorie1_soubory/image002.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh6gICAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQDp AgEAgAAAAAAAAAIajI+py+0Po5y02ouz3rz7D4biSJbmiaYqUgAAOw== ------=_NextPart_01C794E3.060E3570 Content-Location: file:///C:/D12AB0D1/dyna_teorie1_soubory/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C794E3.060E3570--