package ActiveDamping model ExampleModel annotation(uses(Modelica(version="3.1")), Documentation(info="
More Examples Introductory Videos Documentation Contact Us
 

Active Damping: Control Diesel Engine Vibrations

CONTENTS:
ˇ Introductionˇ Equation Analysis
ˇ Simulation Analysis
 

Introduction

This model explores how to minimize vibrations in a diesel engine using a tuned mass damper.

In order to get the full experience of this example, you need the following:

 

These pages show an overview of the example. For the full example, open the accompanying notebook ActiveDamping.nb in Mathematica.

 

Equation Analysis

Using Mathematica, create an interactive Manipulate analyzing the vibrations of a diesel engine for different damping parameters.

\"\"/

 

Simulation Analysis

Simulate the vibrating engine with different damping mass and spring-damper parameters. Mathematica makes it easy to do such simulations in parallel.

\"\"/

 

These pages show an overview of the example. For the full example, open the accompanying notebook ActiveDamping.nb in Mathematica.

\"Show\"\"Hide\"Terms and Conditions of Use

This domain example is an informational resource made freely available by Wolfram Research.

Use of This Example

License

All content in this bundle is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. By accessing the content or using it in any way, you accept and agree to be bound by the terms of this license. If you do not agree to these Terms of Use, you may not use this content. Wolfram Research reserves the right to change, modify, add to, or remove portions of these Terms of Use at any time without notice. Please refer back to www.wolfram.com for the latest Terms of Use.

A summary of the licensing terms can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0

The full legal code can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0/legalcode

 
", revisions=""), preferredView="info", Icon(coordinateSystem(extent={{-100.0,-100.0},{100.0,100.0}}, preserveAspectRatio=true, initialScale=0.1, grid={10,10}), graphics={Text(visible=true, origin={0.0,21.0}, lineColor={255,0,0}, extent={{-120.0,73.0},{120.0,132.0}}, textString="%name", fontName="Arial"),Rectangle(visible=true, lineColor={111,0,0}, fillColor={255,0,0}, fillPattern=FillPattern.HorizontalCylinder, lineThickness=4, extent={{-90.0,-90.0},{90.0,90.0}}, radius=25),Text(visible=true, origin={12.0,20.8333}, fillColor={255,255,255}, fillPattern=FillPattern.Solid, extent={{-102.0,-70.8333},{78.0,29.1667}}, textString="Ex", fontName="Arial")}), Diagram(coordinateSystem(extent={{-100.0,-100.0},{100.0,100.0}}, preserveAspectRatio=true, initialScale=0.1, grid={5,5}), graphics), experiment(StartTime=0.0, StopTime=80)); Modelica.Mechanics.Translational.Components.Fixed fixed annotation(Placement(visible=true, transformation(origin={-0.0,-50.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=0))); Modelica.Mechanics.Translational.Components.Spring s annotation(Placement(visible=true, transformation(origin={0.0,-35.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=-270))); Modelica.Mechanics.Translational.Components.SpringDamper sd(v_rel.stateSelect=StateSelect.avoid) annotation(Placement(visible=true, transformation(origin={-0.0,40.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=-270))); Modelica.Mechanics.Translational.Components.Mass m2(s.stateSelect=StateSelect.always) annotation(Placement(visible=true, transformation(origin={0.0,70.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=-270))); ActiveDamping.Components.Engine engine annotation(Placement(visible=true, transformation(origin={0.0,0.0}, extent={{-17.5,-17.5},{17.5,17.5}}, rotation=0))); equation connect(a,engine.a) annotation(Line(visible=true, origin={-35.5,0.0}, points={{-14.5,0.0},{14.5,0.0}}, color={0,0,127})); connect(fixed.flange,s.flange_a) annotation(Line(visible=true, origin={-0.0,-47.5}, points={{-0.0,-2.5},{0.0,2.5}}, color={0,127,0})); connect(s.flange_b,engine.flange_a1) annotation(Line(visible=true, origin={0.0,-22.125}, points={{-0.0,-2.875},{0.0,2.875}}, color={0,127,0})); connect(sd.flange_b,m2.flange_a) annotation(Line(visible=true, origin={-0.0,55.0}, points={{-0.0,-5.0},{0.0,5.0}}, color={0,127,0})); connect(engine.flange_b1,sd.flange_a) annotation(Line(visible=true, origin={0.0,24.625}, points={{0.0,-5.375},{-0.0,5.375}}, color={0,127,0})); protected Modelica.Blocks.Interfaces.RealInput a=sin(2*time) annotation(Placement(visible=true, transformation(origin={-50.0,0.0}, extent={{-20.0,-20.0},{20.0,20.0}}, rotation=0), iconTransformation(origin={-70.0,-50.0}, extent={{-20.0,-20.0},{20.0,20.0}}, rotation=0))); end ExampleModel; package Components extends Modelica.Icons.Library; annotation(Documentation(info="
More Examples Introductory Videos Documentation Contact Us
 

Active Damping: Components

 

Package Overview

This package contains custom components used in the main model.

\"Show\"\"Hide\"Terms and Conditions of Use

This domain example is an informational resource made freely available by Wolfram Research.

Use of This Example

License

All content in this bundle is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. By accessing the content or using it in any way, you accept and agree to be bound by the terms of this license. If you do not agree to these Terms of Use, you may not use this content. Wolfram Research reserves the right to change, modify, add to, or remove portions of these Terms of Use at any time without notice. Please refer back to www.wolfram.com for the latest Terms of Use.

A summary of the licensing terms can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0

The full legal code can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0/legalcode

 
", revisions=""), Diagram(coordinateSystem(extent={{-148.5,-105.0},{148.5,105.0}}, preserveAspectRatio=true, initialScale=0.1, grid={5,5}))); model Engine annotation(Documentation(info="
More Examples Introductory Videos Documentation Contact Us
 

Active Damping: Engine

 

Introduction

This class models the mass of an engine displaced by a force. It is used in the example model.

View the model diagram for this model.

\"Show\"\"Hide\"Terms and Conditions of Use

This domain example is an informational resource made freely available by Wolfram Research.

Use of This Example

License

All content in this bundle is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. By accessing the content or using it in any way, you accept and agree to be bound by the terms of this license. If you do not agree to these Terms of Use, you may not use this content. Wolfram Research reserves the right to change, modify, add to, or remove portions of these Terms of Use at any time without notice. Please refer back to www.wolfram.com for the latest Terms of Use.

A summary of the licensing terms can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0

The full legal code can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0/legalcode

 
", revisions=""), Icon(coordinateSystem(extent={{-100.0,-100.0},{100.0,100.0}}, preserveAspectRatio=true, initialScale=0.1, grid={10,10}), graphics={Bitmap(visible=true, fileName="", imageSource="iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAYAAACtWK6eAAAKQWlDQ1BJQ0MgcHJvZmlsZQAA eAGdlndUU9kWh8+9N73QEiIgJfQaegkg0jtIFQRRiUmAUAKGhCZ2RAVGFBEpVmRUwAFHhyJj RRQLg4Ji1wnyEFDGwVFEReXdjGsJ7601896a/cdZ39nnt9fZZ+9917oAUPyCBMJ0WAGANKFY FO7rwVwSE8vE9wIYEAEOWAHA4WZmBEf4RALU/L09mZmoSMaz9u4ugGS72yy/UCZz1v9/kSI3 QyQGAApF1TY8fiYX5QKUU7PFGTL/BMr0lSkyhjEyFqEJoqwi48SvbPan5iu7yZiXJuShGlnO Gbw0noy7UN6aJeGjjAShXJgl4GejfAdlvVRJmgDl9yjT0/icTAAwFJlfzOcmoWyJMkUUGe6J 8gIACJTEObxyDov5OWieAHimZ+SKBIlJYqYR15hp5ejIZvrxs1P5YjErlMNN4Yh4TM/0tAyO MBeAr2+WRQElWW2ZaJHtrRzt7VnW5mj5v9nfHn5T/T3IevtV8Sbsz55BjJ5Z32zsrC+9FgD2 JFqbHbO+lVUAtG0GQOXhrE/vIADyBQC03pzzHoZsXpLE4gwnC4vs7GxzAZ9rLivoN/ufgm/K v4Y595nL7vtWO6YXP4EjSRUzZUXlpqemS0TMzAwOl89k/fcQ/+PAOWnNycMsnJ/AF/GF6FVR 6JQJhIlou4U8gViQLmQKhH/V4X8YNicHGX6daxRodV8AfYU5ULhJB8hvPQBDIwMkbj96An3r WxAxCsi+vGitka9zjzJ6/uf6Hwtcim7hTEEiU+b2DI9kciWiLBmj34RswQISkAd0oAo0gS4w AixgDRyAM3AD3iAAhIBIEAOWAy5IAmlABLJBPtgACkEx2AF2g2pwANSBetAEToI2cAZcBFfA DXALDIBHQAqGwUswAd6BaQiC8BAVokGqkBakD5lC1hAbWgh5Q0FQOBQDxUOJkBCSQPnQJqgY KoOqoUNQPfQjdBq6CF2D+qAH0CA0Bv0BfYQRmALTYQ3YALaA2bA7HAhHwsvgRHgVnAcXwNvh SrgWPg63whfhG/AALIVfwpMIQMgIA9FGWAgb8URCkFgkAREha5EipAKpRZqQDqQbuY1IkXHk AwaHoWGYGBbGGeOHWYzhYlZh1mJKMNWYY5hWTBfmNmYQM4H5gqVi1bGmWCesP3YJNhGbjS3E VmCPYFuwl7ED2GHsOxwOx8AZ4hxwfrgYXDJuNa4Etw/XjLuA68MN4SbxeLwq3hTvgg/Bc/Bi fCG+Cn8cfx7fjx/GvyeQCVoEa4IPIZYgJGwkVBAaCOcI/YQRwjRRgahPdCKGEHnEXGIpsY7Y QbxJHCZOkxRJhiQXUiQpmbSBVElqIl0mPSa9IZPJOmRHchhZQF5PriSfIF8lD5I/UJQoJhRP ShxFQtlOOUq5QHlAeUOlUg2obtRYqpi6nVpPvUR9Sn0vR5Mzl/OX48mtk6uRa5Xrl3slT5TX l3eXXy6fJ18hf0r+pvy4AlHBQMFTgaOwVqFG4bTCPYVJRZqilWKIYppiiWKD4jXFUSW8koGS txJPqUDpsNIlpSEaQtOledK4tE20Otpl2jAdRzek+9OT6cX0H+i99AllJWVb5SjlHOUa5bPK UgbCMGD4M1IZpYyTjLuMj/M05rnP48/bNq9pXv+8KZX5Km4qfJUilWaVAZWPqkxVb9UU1Z2q bapP1DBqJmphatlq+9Uuq43Pp893ns+dXzT/5PyH6rC6iXq4+mr1w+o96pMamhq+GhkaVRqX NMY1GZpumsma5ZrnNMe0aFoLtQRa5VrntV4wlZnuzFRmJbOLOaGtru2nLdE+pN2rPa1jqLNY Z6NOs84TXZIuWzdBt1y3U3dCT0svWC9fr1HvoT5Rn62fpL9Hv1t/ysDQINpgi0GbwaihiqG/ YZ5ho+FjI6qRq9Eqo1qjO8Y4Y7ZxivE+41smsImdSZJJjclNU9jU3lRgus+0zwxr5mgmNKs1 u8eisNxZWaxG1qA5wzzIfKN5m/krCz2LWIudFt0WXyztLFMt6ywfWSlZBVhttOqw+sPaxJpr XWN9x4Zq42Ozzqbd5rWtqS3fdr/tfTuaXbDdFrtOu8/2DvYi+yb7MQc9h3iHvQ732HR2KLuE fdUR6+jhuM7xjOMHJ3snsdNJp9+dWc4pzg3OowsMF/AX1C0YctFx4bgccpEuZC6MX3hwodRV 25XjWuv6zE3Xjed2xG3E3dg92f24+ysPSw+RR4vHlKeT5xrPC16Il69XkVevt5L3Yu9q76c+ Oj6JPo0+E752vqt9L/hh/QL9dvrd89fw5/rX+08EOASsCegKpARGBFYHPgsyCRIFdQTDwQHB u4IfL9JfJFzUFgJC/EN2hTwJNQxdFfpzGC4sNKwm7Hm4VXh+eHcELWJFREPEu0iPyNLIR4uN FksWd0bJR8VF1UdNRXtFl0VLl1gsWbPkRoxajCCmPRYfGxV7JHZyqffS3UuH4+ziCuPuLjNc lrPs2nK15anLz66QX8FZcSoeGx8d3xD/iRPCqeVMrvRfuXflBNeTu4f7kufGK+eN8V34ZfyR BJeEsoTRRJfEXYljSa5JFUnjAk9BteB1sl/ygeSplJCUoykzqdGpzWmEtPi000IlYYqwK10z PSe9L8M0ozBDuspp1e5VE6JA0ZFMKHNZZruYjv5M9UiMJJslg1kLs2qy3mdHZZ/KUcwR5vTk muRuyx3J88n7fjVmNXd1Z752/ob8wTXuaw6thdauXNu5Tnddwbrh9b7rj20gbUjZ8MtGy41l G99uit7UUaBRsL5gaLPv5sZCuUJR4b0tzlsObMVsFWzt3WazrWrblyJe0fViy+KK4k8l3JLr 31l9V/ndzPaE7b2l9qX7d+B2CHfc3em681iZYlle2dCu4F2t5czyovK3u1fsvlZhW3FgD2mP ZI+0MqiyvUqvakfVp+qk6oEaj5rmvep7t+2d2sfb17/fbX/TAY0DxQc+HhQcvH/I91BrrUFt xWHc4azDz+ui6rq/Z39ff0TtSPGRz0eFR6XHwo911TvU1zeoN5Q2wo2SxrHjccdv/eD1Q3sT q+lQM6O5+AQ4ITnx4sf4H++eDDzZeYp9qukn/Z/2ttBailqh1tzWibakNml7THvf6YDTnR3O HS0/m/989Iz2mZqzymdLz5HOFZybOZ93fvJCxoXxi4kXhzpXdD66tOTSna6wrt7LgZevXvG5 cqnbvfv8VZerZ645XTt9nX297Yb9jdYeu56WX+x+aem172296XCz/ZbjrY6+BX3n+l37L972 un3ljv+dGwOLBvruLr57/17cPel93v3RB6kPXj/Mejj9aP1j7OOiJwpPKp6qP6391fjXZqm9 9Oyg12DPs4hnj4a4Qy//lfmvT8MFz6nPK0a0RupHrUfPjPmM3Xqx9MXwy4yX0+OFvyn+tveV 0auffnf7vWdiycTwa9HrmT9K3qi+OfrW9m3nZOjk03dp76anit6rvj/2gf2h+2P0x5Hp7E/4 T5WfjT93fAn88ngmbWbm3/eE8/vZ4MnAAAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA7E AAAOxAGVKw4bAAAAB3RJTUUH2wsXCgkiBwZnAAAAIABJREFUeAHsvQewJdl533dOd98c3n05 p8lhZ3PCLjYgEwCJQBKySJoGbFoiXTZVsl2W5Con0XKVrZItuehyyWaZhkXLDBBAEAQILNIu wibsLjbv7MxOeG/em5fjzaG7j3//u3PBIYSwABZ5zqv/674dTp/+zpfOd0Ibcy1do8A1Clyj wDUKXKPANQpco8A1CrzOFLCvc34/a9mN8EIpsAVi0AEe8IG7ggzbUTAAsiAATVABG6AMdJ+u F721r7yupZ8CClwTkH+7kkQTMfON4K0gBC+BFhCzJ4CEoQTSQAy/DXSucRUkOGOgD+g6nZPQ SHj2QBVIgJSvkgTvmuB0SfGT8++agHzrushz+D1AwvB1ICERw4vZ26AOJEQSDv0WY0dA14mm BaA8JDgSiCkg63IZyPpMAl0jgVkH54HyvJZ+wiggd+Ba+rcpINcqB6ThRSNZBzG7GFwCIGuw D75VEuNPA1kNCcYukAUaBhKIVXAayGLMg4NA1+kZzwJZlmvpJ4QC0mY/70kMr3aGBEFMfDc4 BaTZJSRPXtmvsRXEwHKLxOCC7hd6+zq3BPqBLIWul7AIB4CsjSyNLJDaNrIeukeCdT0YBbpH Qngt/ZgpoIr9eUp6XzGmhEFWQkw7DuQ6iUHFmM8DCYbaII+CBXB18vGdHBztOhIrnCwbG0um yrcnLHK3bgeDQBZkCHwZSBCSQIIj5bQD6qBnjXSdrI+syjaQpVkD19KPiQI/jxZEwnAPkDaX UKyCM+CcDUycDUyUi2xfLmf20zmTClr2YN4ECZuMi6mSCdsN06LR4eL/5j/0/tkXQ/us27JV 6yQc35zkjhXBUdCzQhIctVnE/ILKoga/BFWCIgGV5boEdO4GIKHbBNfSj4ECP08WRMrgPqDo 0wXwApCrg5of9LfN7viQ545Gxo1yMJfJpF5uhfFUoh2mYu6MEu65fMubio2fifpKX97Y3Vx9 3p2zbzr+Jrf18tLVdJSw6FmyBtcBtTv0LAmArutZGna7+9pKkCQ8cuF617DbdfnewFaC8zjQ +WvpR0iBqyv2R/jYH9qjRshZkSdpZ7kzYsYMOA5+HYhxxazPgEXQLJrkRNuENwXGWy0al2+a KFnuUiV7OWmi4WzQGvd8s7TXMo0RF8xG1h1qmSjoc+Zlc9L/3MUXI2l8JUvuFjbXMzxwBKg9 IeshQRwHcu0kCCtATK9rVcZeeFf3XZ10XNEvuXtzQC6Zyr4HFB27ln7IFPhZEhC5S38HyMd/ Cui3XJMhMAMUJXoYREjQHC+ehTNr/cYfbBm/ACduhEEnCDx3Q8KZ8UTeRC4wWb9tNgueeWCj aQquY4LItw38oflcy0x7SffSpjNfq86kLgx7/Z0PvrIW/7NX2x3DPEd9IHqmmFlCIeamxdJN +i1IOL459eqkd05bHZPwvwVI2JfAWSBFIGHT9lr6IVBAGuynPfUY6hZeRBpbjHfuykup8Stm EmPKxSmhw6u5wIxmYjOYyNjVVJicdSbOdJLhgWTa3Z7LmqF8xmRSCVNIo+9TKSxQYA4VksYL QpN3Tc8lXOHRRiZcTbbN0aRvJloJV8030rXNmolWTUdtDAnmAlD7ZheoHDouSyL0mJ7db5v0 Xr130/VyrxRAWADKQ27ZHDgM1J7SNdcEBSK8nulnQUB69JAbImsh4TgP5IooApTGb5lLGT8R GOtZY4djz+U8Z6Ka8YZTcaaRLjZuygTmaJAxqXbbJLEUu9m0qWeSphJ4phVYE8TO9IeeSaQL 7mvVqp+NvGgiY1wm8kytU3bH29XW5pIJW8539St2ocfg32pLsbqpJwC939+87d2r471rZZEk cHKxngKLQA39u8BFcK2dAhFerySf+Kc99fMCp668xGfYvqx9Oe4d4411TDzvGy+dMLQk8PuT sasFbXdEAmPiKJlNVkeSWTO8VzMJIlQuapn62IhZGCyZdEwGxKeQJ+N3YpMKA5Pe75jbka2z CB2WyraTztT6Yu/ovrW3xCaKOKq2j6AkppZm/3bpO53TPb3zPeHQVpCQyIrMXdn/HFu9n9pb 19LrSIGfNgvSYxSRQO7U9Vcg1+JrYPXZf/QX9sOPffRgbL07iyZxS5RNVFOhK9BTkYffRvGU RujkqHVslKG1MpMouEO1uvHpy6C5YSwdGt5wxpS9wHRcxiQwO6mQljsuV4S7ZeK2yTkX9Xsd 04rCzHIQ2bEhk4obfjxSNzEi1nWp5M4p9crb27569Hv7r3slKD1h0VaNeQmh3lt0kJJQG+UC 0LN1zw/yTG6/lkSBn0YiqpNtHsidko//ApBbkRo32YmOCY/ERKMaKZdOx842fROUOjhIzh0u xnJN/L4twqdRKvLp8UuVUiZR3TdD1jO+nzIbWI39gZypVtvmcJAw61NjZhNhMFEb20DrfmXb FLaxNrDn86adWQwTrXqnGJ+f3E7+0rqJWlUTPU5ZLoIeo7L7DebWfi/1aN9j/KuPf6tjPL3b juldp21PWE6w/z4g6/kgkOBcS68DBX6aLIg05B1gGig69BhYAHoHRaluatjo5rYXp5rGrvtB OF6M3Gwhcvl8nCzVndfa88z4TuDP1D1XT6ddpj9nbC5t9lotU8BS7A72meV2x4w0YzNWKJqV Zt2M27bZSPum5Utn+8Ztls3xSseU4O7HWnHmtLrzxveC24iCeZsGW/PXY7caFEw9iN/M7FzS TT0B0Q9do99XH9NxJR0j+64bqZ55BQB6eapUOrdxZStBmQIngTofFYLuXcvutfS9UuCnQUDk PrwBHABijqfAAhADHKdtcUfGeIf7TSqyNmwGzk3mjTc7GnkucESneMMtG0/tOpduOdcK6fX2 E7EtpWmt581uImP2FXcKAjOwUzFjtZaZabrg07mTuT+sLrVP5BCOamRmd+pmqt42KTz/vI1M Y6ftbQ+5Tkims9bSAZ+J1lLWzDawQ6lEunIsDMvrXa/tu/Kn6kBQ9O1bCYiEQJnIlZoHeIjd /hRF5iQcvXsusS8B1XXajgP1xYwBXaNjSrrnWnqNFPhJFhBpy5uB2hlr9ME9CZdcIhJFlNa7 hRq/wTO2QNN7IrAuhu+DrPFGU8YbTBsvUTHR9K7vgkpgMvg6ZRM7CddiYNx+IWVuxHLU8lmz 63yTa4emcXDe/Nkri9iD2Nw6ORl/cr3mzvp78YlMzgyEvslYa8rVqim5NoxmiWgZl0147lLT msRQaINiNl60oZmshl4mtrbh2WinEtsGvP2dJETnVAeyitrn+m8wfI/xOdQ912tnLPBbTK97 loAYvidEarzLBVXfCG2u7vmLbKVcbgRyS5V0vZ7VS/p9LX0LCvwkCYgqSVpPlXgMXAdU4Q+D y3BPge1NcM0hhOAg4doUwuIGvJj+OnMIbhgKje2nlZyse5FXhqdazlRdLAPSvf8S9z8lwRjI mFuzKbOG1YjE9Nvb5vTzl4OHjRffOlwwIQKUdJV4PpMyRyJn9onlfjhv3X4zYuhHYLA/ppRO mf1qyySCyNsh1pVNNv07C5FNbzvPpwxl8tpqxxZX0H07yyABEHReaQ6o7aDfVzOsrpHwyHIQ Jug2yLV9GVSArtV5Jd37FqC+EfW7PAtocnXbarpeSR2NcsPkskroFA1Te+la+hYU+EkQEDGA 0i3gvUCVXKHn4mu/uju/sPwvdvqpwuvTLrgDfhp3aX8rZ+LZjHN9SEwh45Lj1HBU9WwOM1GA Oesta5pwzCZsc9l39hyW5nycGzpvOlF+OB3dP9BnJjJZsxExCpfoVNpLmOTgWOxlPXNsMGsW wrbJJDwzmiOa1eyYWqOTefDSVnhLX58pIjQYDlPGRdtq1e3uQCe5v5EIm/3GO520XnnHxKWW jbnNrrnYScD1PnrH3nuy202939pKm4vJZ4GE5GrXSed1bgYoGCFG13VrV36z+UY6yd4/BLcC KRlBlkRtNuXRE5rL7KujcQDIGs1f+b3PVgJzLV2hwE+CgKgo0oj/HpzwFNvPgtWEdWNn/vvt O2EdBMOg1L1m3vj96chNjaCyGU+bahlX2va8/j2aFQ0T1dH223DBBqywyD0XwEU47WLse6um VdvOpL07Csn4Hfm0WaC9MQKuR/2WEwmTCFvmumLClMPQ9BHzSge+acaxaZJnNpnuFLA2o6N5 0+7PmE3fmv0sA1oqTVPe8OzpkN6SauQueYmYJowrIZ0BsrdJyFi96GJKMbnw7ZKsQBWkgRhW Wl9J90hYxOQ6NwcUzZLQiel1z9Xpb/NjDqhxrro9AOSivhlIeGQpdFz0XgWiURPomPK9Dhy8 8lvXSqiEn9v0I+8ohLPNK4zmPoISpK1A7aj+u0yxM2Xyz8B3Mxum+YZOOa7hykx5ocklYZ+8 DQcCZ4c6znr7LtlfYUpGzY9tHLhdE7o9Gs671KQYUtpRUR1pb2ncjkn8r/Th/a7J5iPHMHbr 0iYd1k1tcNQ8uLFiDk+OmnUmePiMY+9LJsw+TlFpr2kGKVlfX8rsdSLzC3QcLtOZmNqln3yo j8a9ZwKGx2frObtuq8SVI/sfVZ0JPd89ShtkmNcsUJ4MRa+Js2lR00FPEsu77n/9+mbmW+bY ISAXSPu6WklCpvQcmAViaml7pQmgdoeukTC8+oRX319CJGHQsXvAW4Do83HwGBC9JGxrQMUT zZSGwTGg+y8BuXIS2m5lse2V65vLz6mfrSTN8SNLEg7aDub3zb/oPpOGbndLiHUGm5DpeOGB lg1HOD7uezG8bBrJ2AynnDfiOa/AvIv+csJ29uIQhR83nOdtJjtuiQa6LMU5MpN78BLYBNKA DC9ECtufjjO5Atai9Z/25816Zc9kamXvgTCReLbViE/1lUyyUzMlX/0k1qQSWAjfN5V2bIYQ lvxIxryA21akDTJfr5sS50NcrUo9pHt+jc7EyA1lU94iAx3PtSMzBVEHnYanpMyiC4mSuf/C xjsda85s2ZubA3bV1K9mrB5DI0tdBpRV0Hl1BOqc0HN7JAxyjfR7EUjBfRj8I/BbIAPEyDqv utW9ctnUaNe+GFy47wqUl6yNhEb3KknQpFikZCSEB8AUGAV9QGXT+Z+L9CMVkH9s/vHfIKpv vZFEyr0VhhtLMXiQoeQMf3IuZ/xs2pkRGH/Yg21axvbtGy9b8Vw59H36tWMxwTKXnmf+xjlq fIHfYoKeLy+NpyR59KjSuJjsvD0Kzf0tBhQSvUpm8u7cxo6J0qn4Vtohfe2aae81zDAdhKN7 dXMg45sQCV2r1JgsQhHKDd8emvM+HDUZEt8wWcau7NacSYVVcx4LkR9Lue07xs3jizvmxhLD 4+HQqWRkp/I5E/5asbb19H/3dQahRO4gdvPSqwEkMWwv9fa1FXPLQkhgeoKk43q3LKDp1WVq af+7wT8EsgIfBnpvteUwxF0mVl4SkEGAvulaiqUrxyQI7wC6XoKne18Eyqv3bAmgrMoloDKM AAnKAaA8dY/y+ZlNP3wB+Xv3M9Vn4RsEHDFFO0qbGKbGhLsbrXHTycjUk7hOKefPZOm9oFF9 mIgUSt2lqoRUG9ZVsCo76MQdMlogZHuO7QVwiVpbA9J0YiC5CTNAFkQVKhZTZcc0sGfjyBxg 4KEdHjZrjaY5nk26w4xkjNq4V/t1M9KITdwh8sW4q4AI1XQmYfYQ0FbDmunQT3ztzEb+oVaj +dsITrXZNtnVXTNUjs1Ozpmk1zK3rFfMbViheMv5W57zt/Gx/Drjvs58evPAdaavNpu6df+R 6EyP6bvF6/57taRXCtwtr47oOm2vnO0el1Dod09I/n32xeRfAr8DjgC5ZqKTGFh0kbYvAQmX rIKYXnTSOVmpPBgDN4GDQHSVRRHzU01dS6ytrl0DErgUUD56noQlAUR/JV37M5N++AIi4Tg1 Y82G6gONa8K7cY/uho9m4Vy6JVyRPo5ZKM7oQT/BeKaRXRsmKoFjdIfp2NiuWS9YjTOJRe5/ Bb45y0wNMv2GC6CK61WKhEGaUu6VtKdSnPIMQ9rNP8gVTKa/z7xMu6bGixMQwxZFprhbpXMQ V4oRvCsa1UgDfKPRMlk4MU6nTblFz3lfNornx5re3pY9hQTnak1zoNExdQTi6ZSPwHgmU8RW pSNb2/HS20TG2nRcBozfesKPAwIJ8TvWo8WpTM5v3t+Z3j1HU8fcedx/73IIV1p73jra9N3G CY/9huXovgD/dExJQiON3ms7iCZT4FmwCu4HTwGMWrddIkaXYEhA5LqJLspLAiJLoHM6LmHQ /vXgdnAnkJVeAGL+d1zZ9pSQ2iaChE95SWBPgnEgnpLw6Fm9pGf23qF37Kdi+0MXENVUiHAE qQQRVnM3gwWnvMCmbRAO2UR8KuGbPMM4dukzGN1iNh9hWtrEMEEMExCmhfMvxC5+hRDtBdh5 CeHYhtRXC0CP+NpKUFTZqiC5Ct2Ucf5kInC3U3W5sEN7o2WO0sFY5eI2veNFQk9jiZRZyebM RTgQz6irfdu4UuuZtMkluNDGtJFqZgr3bJ1yVeGKHMy/5zUJIYc2XYiDR95zKvXA0+vuhrLr HEoYV0gWzdPFZpCqR94gvYsXSjacdC4+dTGujSU8rzn0H7+//OTnH45u/MBv2BMvlvER6/hW 3WL33qn3Cr2tFIBSzw2SoDwE7gN/H8g107vPATGumFhtC1kTtTUkYMpb234g63ERiGbSYDon N6sIxPQ69ybwX13Z3sRWwiZBkWDpHu2rPpSHBGbyCiQsA0B56txPZfqhC4jU+LE5k2pV4zf7 hGiTQTyayUXH/aQ5QWfbIJ0ZW0zxq+7HthmHXUKq8i6BV8ACUAWcBdKc2u8xvgh/ddJvQULS u0Z5oQITac+P70khrUESrZ805xigmCNcm9UdnY7ZtggM+0MEDC7QP9KPZaEb0dQKOZjOmr5S n1lNMj8Ei0JwgIgXQ+Hp7GjvFu2fp1qOkLC9/cJGOFbzTP9e0tqoE4ztNlN1F8eVABPS9jrI jF3DnD2ZjKIJG8f3Jj7/VF9jfLjywuOPlCdGTrlqa9vbjwkH/DUjq/j6/c3p6mN6RwnDHLgV yF0So8oC6NwIUDtBDN2jjZi/78oxCZEET+0WuaaiuxheNNRz3gtEd9F/CNwL3gpkbZS3BE/P 6lkT3atrdb+EcBQcABJSlUEW/6cm/dAFRJRAE9/O7LzZgP6F0Jm30s8ww0SkMo3jLRrFRyDl 1Eia2RmxebwVdTXQBW57GSwBEToFpC17GlQVdzWT9PbFENrvCgZbpUwyHX2QjsF7iUjtMefj 4aDP+1h1x71hcsJ06k2iUy2EwDewtSnRifiFfN48V62ZQxEOXqFg9vH1NASlUcYVIxRcYFJV bnff3NVu+Lv50H61TU96LXbvSMRuMJ9LPLFTSDUJUhOR7hxO9IVH8imXKzZtPe9yy1sdP1tK dlIEIdrQ4c7hqjlcou/xqbvSq/v91mRW9tET30i9d7n6/XRSv3vHtBVTHwV3ANFIzC96iQ7D QG2PnnWRkEhAxLyroOeiioElCBISMfR94DDQ/bpG9SBLIIHYAbr+neB+cAiofaLnbAMJiyyZ hEXl0L1y4Q5eQYatnqWyCD+x6UchIAfxnG5OGDsT5OPpprOj+02vQxf47li/2V3b60aOHL5/ IZcyQ3158wCN5gPOebg7NMxf1Y6qTO2L6Kp0occg7P6N1Duua8Qww1iFUwxdvwEh3UyG5kLQ 9suxF7+tjxG7SxtoRdoinGdso0ndMGkezCZMY3nX/EIU+YvpLNEDAgWUKZUbYHhJwyQY2pLq S5uXEOjNQoPukzgeYG77Z6bT5uJOJ5qthladiVOFoDPfXzC5UtZkccfSrtDZrRP3bYWm0Int Jkaq0WfbM8QJJu2lnUR9o7wXRoz2+mum6b2LtqorMZaSGE7vJ2EQg2l/FswDWRPRaQ6IIXW+ Z30lJLIU0vy6Tppfx6SA9PsS0Lm3gZuB6K775YpJbrUvSBD0W9ZH9+u57wNvADqmuloBem4R 6BoJi87p/ZTvETAB1MYReoLKbjfpnX/s6UchILf7Jj6RTbhDybQZhtmSRKEShYwGIBpbqZuJ ZmjK9FoncWE8PzDlRpsBgk6pq+HEDAOgZ557jKFtL11NTO3rnN5NTFPFUiXoGZ9JWrPKWlcz pZF4jn6XAtNsd9b3zCiRKlZr4Nm+WR3tMxfWdsyBLUWkrHkMyzNNm2Xcj4In77kt8wcvLZh8 tRW/EUtX3m372wx7WU47ly8wWDIOs6jRiKW0/PrcaDgzUXR9RLgqhLHlzBXanjmeT5qBfIsJ W6Gd9Ex6qZyOF4uhvxjF7vpWFBEr6GpcMV/v/fQ+Ykox7u1A1kHvJoYWJCS6Vsz3HjAGpM3F 7F8Bc0DWRfdJi4thdY3ykLBImHT8MtA9U+A+IGvxP4EFcBxI4ytpK2ZXHirnAli9ghNsJVxi fuV9EajsuvY00H36rbJKePRueq9xMApUzzqmuv6JSCLODzMdJHN409XpoS7gz29lifz0p0yD UGoa4SgO95sFJoePIQzoatwsZ+ZGx8zHFpe7GuwG7hfBFZk6D56/ArkBVycxiAh7dRLBxUAD jNZ9O+7VeDJjlvJD9Ea0zXDWN3v0kssVkDbbx3qUCKNdyqdMi4b7NJNnY/po2hQ+bsWmL0j4 S5/4fKLZtJ0qFmaHRrvxPFfppOJ8oWYOMDDyloQJt1Ipl/ISLWSdGYkB7R06FXHdmPnLOBks E2qyVMmZnHrcN1z/hU4yF0TN5Zmi31wOY0LUr4aln6RMYqark9wiMaRcllNAzPwC0LsrieGl naWNRfd1oGt7Lo+EQIwrZtY1ip/ITRLD6j4xrNwpHdPvl8BfgA+A3wfXgeuBmFc00/N0j3hI Skx5LgNZOTH974I3gSfADpDQSbgeBBeB6lQWTOUqXfkt4dXzJWgV8ArQO/zYkl7yh5YYwHeM t59l+upYKmP6cKH2GqGZg12atYZZLQ56n8OlmMj7JsucjP42Y5iwIDtYk3kYttDuBHfBhm9i 6BXdJV2i8bs7ZEIEFyElPCKqmKUnIB77YpohoMoaonE+D1NrnPw6IdxgZ5fjDAWeGTarZ5bN TUStPPo/Uu2mmb28bRLlppmyjDZk1G8I+5RoL9VL/VF+INfMNyvR9YwEtuTjZdtuNazbVev8 Gh7ambyxyVoqOloqmBZDXwaTOVOfLJmlIDIV2hvcwXRGGvss/tBPCbfT+0zsCnfnrN861O9c KsWErqr1fgUqTCUcTqCxYm4xq5I0shjxDBCTirF7Wljv+25wL5BgPA0kTLeCHh0usy8G1nnl +wwQw0pJ6NzkFUj5LADR7jCYAS+CUyABRHtpepVH14ruUkQSij6guhDjq0wpIAHQVnV3O3gr eAuQgOp+vYOeL6uie5SX3C3lfxIcAItA7/4jT6+7gAxA1wZ1M2Dyo850bvZ9d2sqZ06WSma3 VTeWuRVfDBhSvlP2amE0/JyXqN0PWViHzTg63xKEYTu5pHmIhn3M7KZfsb7r82kdYAFUEdIm It5vAGmZPPg1IG23D3SNGEeElgCpIs/QPT+WDFjGkzkdaOmiTdEfwzJvQ3lzfmXHzDCLcBgR LHKn7YQmCiMzSnslRAhCggozjJR8hhwHmXl4hPL5FYIK5QZC1U5/ruMiZME1jprCI5umeYiF gQaYmdgeLJr1QpYgRNVMrO+b2d2GGcWF65D/ECHmsM7vFrapwaiZqdBmB2Yzj9tGJ7vf9u4I fdvvuXgdoZqn/EtA7yxGkQWQ+yQlIOYW9K7S6L8NZAHEnGeBmErncle2K2wXgJhV5x8BukYM KvotAF0j4TkDJJjvARISlUN0FUOL4SV0eo6EUAxdACpDHUgAda/OPQZUZ3cC3a99C3T/3eBv AdWjrtdzJVwbQMKpd1Z+U0Dvq/fuJf3+kaTXXUAS9K+1eDeMwmHP6xxO5eIpxi1lBtJmtRaZ 7EbLPEaDN1PMuSNZv3aQ8Gq9lTJ/1K4z7ik2R2RBePMoSJkD7dBdH8UWBoEHY60X3SWaKuYY UKVJq4jA+q1KlxbSdWIMWRZV3CjtjfelERLaALtYsIcmBr1Prm27W2ibNLFuQXmPoSMpc5ZR vRcI7w7jXs3T37FN/0wMM1ug6q5mMoSDGWNFeyWxV7Yv1MzwJ22y0o+7+HaEI+8lnC0WzMDJ Q2bhd3/VPPyVp8wJ2jL9TNGtMVV3gLW1Nmjcl5nSm6y1zWwibSqpur/DkPypuGWG88xYZCG6 I5Qzhcl8CLdTzCSheBP4HfAOcBuQ4IvhRAsxqI69D+h6MXkNiInE3KLJ80DMLYbLg88D0UvH dP8CEHNKk4tBJZQXwA1gFvQB5SdhkkuVBmJ2CYForfNielkoCa1+q270PAnCKaDre3VYZX8R 6Pm3gl8Ad4ARIEHRs7XVeySB6nIUKF/l0QQ/kvS6C4iEg5Qi9j/d8UO5N9chIPX9GjPgIDG9 12PMpejjwWOQsBR1cDkq5nncmBManQiTlqnmHTroXmjUvL5OqFZAjD9K+OdVE68KV7kPAlW2 KugQELOcByKeNFICqFJOKzqG4B3FMjDe0X5xfcfmsEn30EivTA2apd2KGWVoyQwW7ABBhANo /g0WjzuHtp/k6U3uGyFiRR+lcQxxnyXUm0hFjMGKm00iwSmf4/hPLAPhbN+IiT71z81nPvJJ M/PcBXOIKb2VWtOP6zVvbZj5iJDAT9LOwSL2levmiGskLtZ9rTcXHymyCHDN2sFq4A5i0Z5A BJ6j/PeASSANPQ7E9GIUMZ+2Yur3AmlpCccakBYXfcRUokdPaEQP0emvgCyuGFCMvArErFJO YkxdA827jC1h1LEeg2qrZ+sa1YmERdcoL90v2ssCKH/VwRvBs0Bll7CpDHqm8pewqT7PAQnC XUBKYAyo3BIiCZ3y0jOEaTADCkD3qgw/tKQCvp4pRWanwCEXtwsIREhF13BTklFgvsKQjAGG ZhxiQlLMuSYdbnlWERljOPsvM7VhTry3AAAgAElEQVTVJ8r1ipbgoQ2Qb1ZNIWx7NdrtGcYa 9soogusZLwMxgRhERCuBfiDCqaIaQESVdsT4MGG9Y+Zxmy5mU+6N6X7XbjVNkzZJE8EMJsdZ 2X3XVChrCQF+mfFZW7Sm56xHp6A1C+MD5tGlTfNBRDRUtK2CD8m5LZsMh0sd27nVBR950cT3 oBZPdIrmrxL3mKW//Lvm3XCKJf+oE0cZP7Ajln4fOilVtgRKYh2r0lfpDv9yAdbps8Oh212m AzJhvS/EbTeH6yZhEJP8ORCDfQjcD/Teej9ZDGlgMekgOA10TCkPxGRibh0TQ4tmEgbRqJd6 xNUxKZ5e0u9LQAwppr4IngBiYpVLtJa1EaPPAzFqFug+MfUZIGZ/DPxz8B8AWSCVVzTQ9UNA 9+uenoDKI3g3uBk8Az4OzoLHgd5jAkwB1fmbgOp4CVwGrSu/2bw+6WqC/CA5inHfA+7iDaRF lgeMp4b2fV7STMBMG/XI/N+EU0/h0sziP2yo4Ut0KYd2zhf7u52EUzCymHmfMG8/bkw9jGJm cMQl7mF+VNdSoIC7WkeVrEpTpWtfzCLi6Nk6JqLDn900zNyNX2cq7eLQAHPag+6AxRJc0SzT 9mDcvOvPEjDIwWEZGIgoEu0LdWRWca02qLmvbLbNbrNmfqeUMc8zYWqr1jHr5WZ6ccZGg9nY Hd018SguUZqWeuLSsvnTD/8/weFaLX6z2imr215xr26zWJ+QgZLEgw2TWAiAoUVZCCJfbnof 6aRdHZMalOlxr0QuEycSZ71OtMYATTGQBH8RiOHEYAfBIfAkeBr8J+AWoDpIASkMaWNZnR7D Kg/RSZpfDNujjYSjCGSFxaRK2tdx3ftOIAGRxlfe86B6BVR111J0lRD7qhvlJe0vvpIA3A6e B3q+8j8PrgN6D1kAlVN1p2t1vxhfwrMAJAASFl2/BlS3uk7P133KTzygpGeKJqNA56QwdK3Q Syrv95xeLwE5wpPfDh4Bj4IpAj3HCHGquONo3QwDBANin1MM68gyyC+Ln+/TCF5n4FWe6FVf IuX9GYFRi1UpMYwjnp82n6SBq4GCt6A3YvxxvWwe6OVVwRmg8qsyBRFGWmgJqAJ0TGmQfogP 5GAfVlCsYakarYaxtdD01ztYliZWDgvHGrvVXfpEiK6VqKp9Oi7XyAFlzmLXjOile/swQnaJ ByaYTLVdaPddmIzNODEFSeww7DPSSNtn6y1zeiLt3rFfNcdonK+3OwmGm7AwY+w9TaSOgb5u psjaKLhsPpbIpnLuS9ms81jR8WTYMG/JeslL68WEH7bDbd5aTDECxNgSEDHTLLgN/Bl4GNwH jgGK0WVkMbgYeRxIaYgRh4HOy6JcAqKP6CUhEM3EbEpi0h5Nb2X/N4DukWX6OhD99SwJoZj9 FXABPAdEd1moBSBBUT3p2J3gXUDPVLnEFVJgYmbVqd5JQjYIlL9+rwKV/Smg8um4yqjrVB4J hgQpBXSdfgv6LfooLykXQceUp+jyPScR4/VIB8jkKPgqUEEnWWZkjBVDbqSHWkWbQBjGLWHc /TI952jtRsPME9Vp0su9y2jaoRUT/Mt0O74+zeLRDP9o0mN9O0PSD2NlcLG6zC6N0g9EVBG/ V/F6Avq/e80q28tAlSFiKh2hHfGrtGm2aQcdwWLVaEPY4ZL5V+UKsV+PlUvyZnu7YgYpawch buOODRCxGkvRaUl4eI75s9MqJ3l4zaZpMTR+zYa2zZKmtVZf+GDWukIjbw5nh4NPHCvdXl9r Lr+bd1K7BQaPFqwXjbI00G4nss94gTs8jDvZYeQvk688W/Pq2Zo/OugSG3Dd6f2YlR7D6IAf OsK83ZVYxBB67z4gRjkEROtPADHuJND7Ky0AMYfo8yx4BUxd+S3mfwGIaSRg/y54G7gJSNns AzGhFIto+l6g68SIEgIxtZLyOQe2gei9ARbBGXARiGHPAj1/BRwGEvIbgOrsEpBw6pnKQ/Wk PFXuFFi+8ltCVgWqd13TEwSVUcwuPlCZxW86J15WfhIolbkfKA/R5iRQ3irr95SkVV6PJELA DF3iqhKHKK0YdYhXsQwQ3Edbt2G6Pnztp+ksjJmcVGAU7S6+uE8jfmAk3XkPPd1poldl2gc+ nYoPsiriLHmIMVTOfwUWwDvBQSBiy5IcAHq2CC+iqXJFcGkqEfIS1F3cbZkTmrqLkNI+NvV6 bC7t1Px3jBZC22y5Q8xFL9mkeQ4XL6aB/jXGWyk6dZB7luDUTJ7gAbMFC3QarjS9xKd41C0Z v3Ndf8VrNZIs/OCZHfzBrfbQS0G0h3/OSio8+8vdMjhzzOJeOebGZ5LREsfmKRzjFU2mEtpW JWbBYMLYbym5Vy6XzQlmEm9hMvXuykPWYxhcD94IJoC0twRHjKfrJBAvg1Ggd9c5MfRDQEzx diCtfxSIeUVDMZ6OibZzQAz1DBCjjwE9S8Ii2ooRle9xIIaU4InWEgztrwMxs5gR8naZnE2X /kfYKj8xbRaoDKo7MfMqUD6qY92rZ0kA9Fs81VOEOq767CXt935rKxoJSimgdxedlY9op+eK fqLXV4H45jUlvfQPmlTAZfA0uI0M59lKG8zxCmrMXsQq/CmuVA20+rLma+MjZiWRZFGEhFmm AZ9DU6+zosg8tVHERfFxeVQbHSJKIpYqW5rv6+Ai+FPwCFClidBc3b2mzFaVsAVEAJVLaSOM gq80ml6eUO/pYeaTM1G8L2PNO6eHm/1Mky3T3nhyuOT9b5t1U+ATBo22732s1rQbCItCuiFR sHKKwYxYhJh+kCU6B4c7XpRoBc6vOG9uN2HyFDRRqg1UvXYz75wdpp9vFVF9gojVKwhHEelg 0ZV0hGvJ+tmUCkGEM3I5G81PWzNJJ8ydT++aD6ad32kP5x4OPVbZerVyVUdrQBX8DjAHxDh3 gd8GNwIpBSmNQ0DvLtwE5sBpICHRU0+A28EMkPCJnqLjgSu4h+0xIKYSM/WeLSESk4umYmw9 X4LgA9F7AWwClVOQAAvnrvyeYjsJVI6XgOp0FtwHDgOVR2WYBiqjmFz5ZoHqVGXUO8lSSGiV 9D49qFyCyqtr9oAEVoL7IngAPAnmwAeAyv2a0mu+8DvkpoIpSSjiCVN4ET46zGJud3oJM8nn Ac5vbQcfxcW4g76GYtKZc2MTZnGVDrp6jcUPWHYHrY6MmMR+0xzS4EXmiGzSkL2RxvoYQrXE a+9BChFYxNPLS7uowqSdREwxiJ4vIekRCJ7tEsJlCJ0xFuwI/RARQ0z2aee0cd+OEeYV0avl bf9PzmymGulkeHeauSa5wLu8vcc6EUnXT+iZ4tA6wiXgHq+1Yy/Syz3cZ+PzNwfZz2yG9lgn H80T/Urk149/upbaG262OrfVm1afTMj4vj+DgZhDQOKUDUeZ4nuSNkhLwsZK8c24EbyYcNhO 1ntk7H3KuvDMZqX5JeN7x7str1cZRMwmZTALxDglcCu4Bei4aCJmFCOLDmJAMYuY/DkgTSrm ywAdE2307n8MJIinwC5QPn8LKG/RV/wh+iqvCaBrZTEkIHJbbgPKT2WS4Oi64pXfYl7d/2tA eUk4dG4O6Nli/A5QEg/pdxIoP72T8hKWQQVI8C4A5avre3zH7t9IOq77lCRMgu5R+aRoh4As p3jo2+XBqVfT6ykgIiBzi2JWvXGn6EGvMjAwWWRdUPpEjsHoM0Rx/IkR88TBKbN05pK5q9Ox yzSOi5Exc3DHaZgmwI1pIhzbc+PmI/j6KRrpLazQJazKU+Q/DvJAxBKTnALDQJpmFEg4BBFY Go19WvieGSCK9H46/oq0MXbg+DqWYQ/N3iRgkBsZcau1Rvg2evCnGSay5zx3G+OwAobBz9HH 4SHEDcaNJepV8zJzQKo0+o8g6IcJ+hYvJzpzWMgJRu2uvThrHqUrPOX57V+AufdbHS/vosRw zFAUeGG5Lx3fPFIyLE3Kc5smqFXs2f5O2lvKtjdyHXuRgY/t3UQcl//3G8+Zv1y7kfKLISX0 0qByQVShC0AMqWN1IOUgGjwKvgjmwTHAM7vM/TW2l4DyUx5VoHzFKJC+a5ln2IqJde0UuANI qCRoEjqdF+0lGGeABOkE0DMOAJ3Tvu6RZdJ9SncDCZye9zJ4BOi5c0DvIuGV8L8ElO8S0HXK X2kDiJHF3BeBjus+pd721V9/83/vnLaCBEZCImEpAZX3LOhdx+63Tq+3gGRy1l+h2THESKLb 0L6pwTwdbbE5oHVtiWptH5gyzzGCdnht27yTTupHmAKrNW8Hgn77e+V1O4vfP8XC0YyEMsVK FYEJu1pImkXE04uKwDtAlSZNoCRNpGu0/UMwCe4CIsD1hIh/j/6MCQZMrpFBggiVmE4kYziL 8Vi95DbUZFAqml2GpNTL+6aEijsIRTs02BP03/UTVFjbqyRfZlGJIprAwmn7e567Y81j3FRs B6OOa27ffPCBwc2qn7LNNzM7sUl4bMwL4xlK3bQJV+S7C+mJfiJiaJAaE+736vnP7xbi1eGG OTTspS6v2eZURVG8v1qnu9GJ8cQcLSCrkAViEAm+BGT1CnSNmLMffBR8GRwEul8CJEH6LJi7 AjGr6l358ipdJtX+DUB5i2khR5eWi2xFVzEVpOsymWisZ4jGI0DPkGUQrXWdGFnHxJAfBLcB lVdKDbJ2rZjyeAmI8XtCIEE5B1SGS2AB6B31zqqv00DPUNJW+b+W9M3XjnGT3n8B9PJj91sn XfiDpt5DxKzDCAdj8eIjjNHIDZZcNmqYgAZwCgb16KkeZE53ZrNhJtGg0wO0Q+i8S9BjzbJX ZgHxvomhHiWiTsuEg4uNuo0J5mQZj7WJBVkkfzGJBERMoYqWoMgECyqHKuxjQBV2CoiwOjbK /fM0ihOM2K2Td4CQ7BG+9bEkEW2QNu2TcJfvELLu1RhDQTKUV4KdwcJMMW7qAu7fJ7GEnXzs TSby8YOFKJVklOJJOLMQxXGLPILJeP/LrzSPVnLt1evoM0kRWm73F01lIO8SrNiYY9lTuoP4 RkJs8qycstFpJZ/LpulHj6KxXa99YJtBjQyFUb/ofZRZWvgCKABZiZuBEmTqnquyFfMIS0Au yhPgLBDD3wSk8eWHfxWIoR4FYkQJj+hIcbo01PkjQPc+Bu4FyuMhoDzEyI9c2Q/YirkvAuUl oZgBElIJwjCQMIjuHwI5oLrTu8yCOdATCtXfGfAiUH4SDuWhMisP1aveqw50bU9I2f2+kt7l IBC95FJ+1+R/1yu++wViTKXjABff1lmVZBK3aD6Xjfthrj2q9wWWv4noQZ+oNbypZseN4k5Z 2gAaC19ijsQGXvh1MOZRDRZkyc8vlJjVVy57RRrxU9ZzLJ7YtRZ6OWkhVYYqQvt6WWkcVfY0 kICIoNp/BjzPMJNz+FnjWJIDRJvakFmDBgtYiz1CzTSTmMPE6Fu5dLiCjgBCi578cZjeYc12 UursathHOyzQRX/OIb9tJ1mtjmWI6MMxQV+WD0UzZKVq2uHG1uLqaSyn3MmDuI9lnicB1IAZ MRy9hKa5UTfznQaLZ7eYDuNHBUb77rNeaYlue/ouu0pAzPUk0HuKrsfA/UCWROe0leAkgRSF hEaMtALEwNLu2s6B58DHgRhV+UkIRB8JkK5R+lMwD+68gnG2LwHdcwhIQCVgyld5fA6I3nqe BPUOoPeTBdD1umYZfAgoDzG9ygopu5ZObpiUl67Rc1SHykd56D10v87r3QbAAtDzv5/U40/d OwzEQ1IUrylJIn/QpILLvN8NVgo2eZ4t7WC+R0aECpW5uVRO/gVTXdOjA+Z8IhfvIDwD6rCj B72x22Z+BB12vH6LvoYLMNQiwzzu396X7+pgBCttI8KJUNJU0maj4EbwLqDnioGmgBhFzOMD lUvbRjbPLMKE90XqeTNq2XMSGATBw1oco40zRFtE9sc16JdosA4WkaoJ2gkdRuXu0nN+zqv7 WEV7okF7JMq5j/uacs6clpLzW4Oht8AwyqG1fdbTqnQZTGricdpSEUoghWDTHGEgAOC5GuIy 2dkzkxaLuJ9st4s1O3+ibVeSxpYxHrdTkhPgKSDmmQN617eBWSBh0XvfDMSU94A3gF8ASqtA TKB7ejSQJdK+tpeA6ucR8CWgN88A8cEa0DPuBbr/FqDn1IFoKhcsD5SPyiCGV900gDS/8pHC 0u/etXLv0uAgUH56vw6QMFSAyivh0T29pHoTlLSVcEpQlPRbZf5+k5TK1c/6rvmIcK9HOkIm d4EX8Ie2mURxJEjErM9g+pk74Q30R/2su3mIzsIyVqMF810uMroXl+s4rswW81WXYczJPeZ8 M7xjZXjIfIWZSTsaGEiDmSWzrARolPyfBUtAhBZjHAVTkOx6utyOGcuIKt/fYvsGjh0GLApq cvRSD+MGMbwkPoTaeyJIm03KMUnIuUOnZcBzxml8F7m+j6/cmkKexRq4hpmEFqv3wBbfLcz4 dnS0ZacOxKnGdmxObQTxNgMUF1iWSIv5JvgLWGwuYonS/YWl5HOf/Iuob20TSwFzYj18XDq3 WTHjm/vmYKtp/99S5K0OR8ENTLqib8U/sW7jfCXpXWTu42mTDJZwBicNK0kS4lNImsvsSuh5 RSYGFxmdHCDU/UDTBESXADwHxGxSFL8IJExizk8CMeM0EMPqmhToA9eDMvg/gI4VgZhWDKnz JfA8eBzoWh2XwEjIxGzvAar3PJCArABZDAFSdxVXTzgluBKkl8Eu0LXKR4KpfMX4PbDb3Z9k qzLrmUo63xOe7oHX8K93j8qhd1gAO+A1pddLQKRNjoHnmLkKz5sRavQ4ammQYeNletRPYk2S GuJB8N9Hk/qscjiOVg2YH/Ll1l7w50EufqslusTrN7MMK6/VbBv/fxDdhkvkMbLVfY78pbFO AlWerEmavpIsi0HsEVX6HBr9c1kmWvH7FKXYYRWRiyhurdpzN9f+EmAtN/tSI0qthGEEA5oq U38Z6272EdoaAQMJxgLL+8hX/NQ2Q10Y6RvnYz6ZEAUsmp2M8fVOrvqdBfLcIvIEk8ZPV0rx JT4RPUyIeBRhGN1biap/8Cfm6eWnTH1ng1A1iz7QMXpwl/Hx7bb9eCnOnNW0lwTSlUq4Jabv jvChn9O1hPcS7xkRGpimkU4PvpukeAPHrPk3vx/P/y/rR//276eqX3+E+SsHmc9yNPKhTdxV GP+adxMjvQt8CBwG0rxi/hfBOJgDYmpUQFeopGAmgATii2AOKMlyCbI2Eiwx/qfAM0D39IPL QIx9B1BdQI4u48oSifl0jfhBvz8LVBbl9RRYAspbwqHn6LhSj5G1VZIgzAAJ0tUCxM/vKfXy lRCfAiqD8ntN6fUUEBEqhfWAgW1/0booSppZywdsGLFboSf9ZZbM8bAQBYQjhXDwjSdTQ3D2 B0qmQhToCOHSFfpOInqxB2mgH6WRvMnnNdc1IAOGkVa6ExwEekFpqDxfgLpAR9sfrLuZ3/8H ZuLpT5ht2t6uQZs5Qef0rRrwh8SKMBIsGMaeT0Zukr6JHdygLaJY07hZmgffpixlOiov72yZ 8nLZP0Vk97N+yDKlzpsu+dFT+15nr+bi9NaQ+3S2bmZ9j/bWoLeSqfkDYduuVvhgDyOBJy8s mMNPfdkkrhszFSkF5oSMI2zpRmQ+blvjH8mYZmnP75xMYS2ThLH5TsM4y8jlo9Ax/tEdxEIc 40tZhzGd00j04snYfP2/drvnPvS7v+je3QmyjBz+u9Q6TSBznjJv816ijejyTjAI9oC07peA aCVGE+OKWaSVJUiywkqPAAmRfqsOZWHkAul65aN7JBBngJ5xCIjBHwJ6tp4xdQUSCP3WPbcC CZ+Sno/a6QqMfuu4LJ7ul3ApXe0+aT8N9F67QNco7+/FeqgMgpLu03srvwug90x2v3MKvvPp 13xWmugC3Rx8WcDvc3SINX3HZDmiWhqZa7w/299L/Xl+uPGbLoHQWHOWhinfuWESRWAmEl78 Lt5gXzP7+G7gF1KeOf3irvsgxxgoS3QjdqqwWVAEbbDPm8NftuLHbpe3zf5fdm3ktwbdZn4r am6wSAJ9gizlyyLSCBV9GQSvzIuokI8e990XW3hCO7G5DqEtMQRlhI6b+7juIuTch5T3kr9q Yy3VTuBh2dMtEx6tR/ZWvorD+Hh7MaiHO8xBv1ix8V3+vitOtpOsQOq1/TB+gv6S5/hmwvVf fsi85REiZbRVPFy1JisKP5bvJGtVE4/tpjst+lLCdjM94k1aWvqNIb9ufzVGfbBqw1qzEbMg d0ICSFwAabLpLdttKDFJ3A9/iyV+WcTRRPR/EghkgQuYm1A0uonoj2Jgr7pLj7N9ENwE5oA0 vupbVkDvKAHAgFv0kHsn738/v2VdpLElGGJMDnfbHBtsxfA6JsETs8uizAFZrseu7KfYSoh0 fgQUgPKTJZsGqrt5MAfErF8GOq/7dI+e10u6X2Xs9A5c2Vq2V1/3Taf/xk9dp+uVJNhL4Jvz 07lvm/xve+Z7OzHH5REmIZ3z4pttMp5jLfMXCNmO4KLP+AlX7S9Gaf1OWvM8YU4+IWi+UGmb RSJYY7hdasBaIkk51qMaXN81J9VByNstQYqXwSvkL60jgklYNvD/d2g4H+HtadubFZYdufD2 4Xj/gT2vtGbdRIeFsNtwGTWyQtYeXz146XpciYdOmK/fV/d3H2wZVjvEdybUyywmDErXLVCF iqi3etZ9IfDC9chFA4UgflztARbqbe9nCPbWosNo7tu48gM4REP7Jv4oC1NM98Wm0+54LzIm OUxGfrUZJl7MutQTbYattNsRc9OZSOtVDx2keyffKl42ybDUyhWD/r5acWTApHP5xEq55XUa rXgxsMkonXGjpaHOyOVMOFFu2cHAT94bRt4HrImWKCQGCa3ID9zMbSqyTUBAFkDM9gp0Eb3u AbezPwLEIDcCMaqYUYzyBZaY2GKU2PtQJneQJ/LWdccm2c4DMfsyeBjMALlU0uwSCAmR3BZZ F9WL7hkGLwG1M7Sv/CR0FwHV1A0vU+xvBAYG2P874JfAm4GeqbwkiDon905l1T2qF/TC95VE k6PgPFB+rzmp0D9oKpIB9Df9SS8+mSkyM9A3Z/Z3g/W6i1gGirUFaTDTM51i8GG5tZ3+lxXb /Ke4U3x41vTz1g6/vU1UaZp5H88wYvZhPrP8m1BEhFYlrwNVhgSjDi5hIEK+WNAum/Yv8lt5 5FBjBIdN/V0H3cYLXN+CUSgUK5laVZCGiniowZFXLtABaZnIi2bkHx+K7kY1Vvi9oBogSctc oj3x8pB1Q7SPpyZCv33RD9M1S7ul2a08VdjbwAGA6+FeTJlgdNcVm32JnQHUpWYYnncBOiMb 7e6WURRhcqhk4uE8w1RSic7x5NB+0OnEfdlBd5rpxiOdqi34aVfmu0CUxXmJZNtm8/Fevp+o s4374fBDO3vx+yzfiKCsvJ4VPdY6fLQUk1GCfVig0jJjl+H7rzLzSc5LCFQ/e9yjdgGBNVo4 uKDsvwgWx5h2AMesdgIzj7uJjHWvF3OK1mJ+af33gdvBYbAJdO80UD6qHwmmlIvoomO69xkg Bpe10u8vADG+BE3Hx4GuEfOOgVlwBCgfWRa9n9xDHddWVkzMzat8wypQ3O+adI1cQLV19Pzv Kf3AApIzQYb1ZFMQna4F25cPXP3QpDn9VGQGOvsMEYERsQZphomnfeZj22LnXkbzVmkE38Mg wJilcZqEdQe42bA4Z7FaNreGMaFdVh6Ez0QY+K1r5kUYlD6z8hjPyEd22mIImGmEtgbfQfBz bzycuGXXC4/sO3eKqFXK+HGD4eU+Wp714vgQJ/0WfBoqeWvmTbWR6NH2esgEwYjeBzQ+8YLn qIe70cSpjEn8UdYL83xe/ci0DVaZFvkWFr1qoDqH2i7+Rd6TCqZXhanBlIfB+3CAH/Llztq9 HRfn6CfZqkV+K9HwlhebXinLiF2aVkfxKfCOgsoGC1n090UTzGg8G7ZpbYRhkMhLaKNLYcNe RG4P+EF0gUDDINahj+H5Ed80mXItn3hHgiBaw/Np47EU5NJoHHx1x4QHmXp5EwuJDaI8tHap aKV/l1G5eJNuisKqv6fOMeIZDKdBYHiJ1m8nky/9cdRMXoqwLlqzzJkNvLkkkqK2CDQxc+Au oCRFJZfoBBAj6/0lHLIsh4DcrQfABBDjLwIJzHXgc+AT4K3gA2AYSHh1jOJ0h6So/SRLJG2P LHcFSIyt8zouBle59JtX+a5J1ylJKFV2Cfv3lOCH7zP9CvedFnWSRRTP9fjgMG/y+pMHw+qR aXPpyfPx7djXZRrlaWpmmEiNhnfnGDQ4Sx9IzLATxjNSYM4Taj2Ii/MwbPcCTvqNnbbVi6hS 9GIiopKsiRJaEGeNBAUP8QKniJHMV7LuRG0oPtkuxLcGGXMwopFbi/nkAS12qBQyZL1VdN7y B9OTLw9+/P31Z7762OClth3eY+w6Rq6P6rwEh2b4UM9i3iRwYeKjfbSF6D9hrV436XksnE1f DZFfxo75ZaJXKToZeZQ5C1cyQsbdgI64C4f+fZQr0/CjTNVF9/Ktn1+KXXhPKxEObvrxEG2z w9kSKzHmEfTALDJzarfT9G6PiLWtbrvVcjk8i785k0rFfYNpl6DDdO/CZVsgBH4SzqaSHR5q HDOebBcB22Sq4iYEegU6rMGJ3a9iwTkUgdHQCAT9K2vERi7iAlqINoSTwsL53QGYQ3DwdjwY tl5pm/cjhDdy/Rbj1RxCyet06SbXTNpX2lyMehZ8HtwMZJnL4D3gzUDn18Er4G5wA0gAMfIQ OA+eAB0gayQBEgOrrDqv36NAVmIbyOJJuHS9rtF5WUU9Awv6mpPumwayfDuv+a4rF37/AoJw KNFBcNCnlrEkA4lkfPLg9fHzT5zz5i6v23lGwz6UpCGOIByDWZusZrKrBgMz6YZSSXMRlyqD cByHSi8jQHu7tD2IcC3A0ftFJI4AACAASURBVBIKEVmmVz6vtI22MvkiWB78t+D9hKzS9F0E WVy7VNatFRPugVbTTdEqnyFK1ddoWYZM2QqMgi0x4R/H5cP/9F8/9M6vb7XeS6/hvfT5jYex Z710tE/nwvOd0FtqpOMVwmyjxcg/sWbC8ZKNXxqICdk6O8bDGc0eN+ibkLp+4H2R+cNZ8qdN kuXL7HSnuA4zqZJx4BOyZXiLc4ewdJdHPPuRcd/8RTFMrufTNp1Ix7lqx1aQMJ822LFaJdVp tqK+KKIFx+RcYsCzAwU3xSDOaHXTDmmSF9+KYElTcja2DDE2Ch5Rv5j5KPouIgtvQ0dklmVP X7Ui6h1kFrBfHjT+2XHjHieUvEn5D6OMFLyQi3nznmdu3m+YaRTWBgKSh2VZapjPTiAAWKMc 7TzI3G0PisHWwHEwB1Qn2i8BCZAY9xHwJvDrYACIMcWgF4Aszxx4A5C1oQjdDkxZBXRp1w0b ubKv/CQg8iBeBhIaJQmGyqHjKpjw3dI4F4ifnvluF36r89+/gCi3PAPYafilYm+RwVbXpTPt wYV1+9LyuncTzLHDDFo/xfcDGSRYxMctoZ2iFM46gxCTDPPQKunzmAq66sxXmTxVbTb9ywiH /FyZZGkT5S/tIa01BSQYIvT14L8EAwzjaCJsHQ0Z6evHpYu9dTyuET6rFu1XGDLSTj5DIz3L dUe9rLs5N+JKw9N2ncGE5UzJlVi47kit4efaceKVIn0nDMIacHGYKQylHoub8UCLpYJ+NeM9 RiN5ZA8XEv+Fz6Kb61Cfe9TmS58ZSn3tl+8I1j+3EvWx2G4OM5rCUs6jrs/DaES6vXjA+F/5 vTj7sf8zap99e87LrhLmPr+SntluJh5u8uEQght+X9b7E7PpFlniFFlsDxYKLj81aZbarOW1 vGIPMyq4lgpirfTY9FjXl+cvQYxyx3lJBGSA5x6EX2j+MRiGAZUwO3Jq9/l2/Eoe5s8m4iq+ 0A7ml3GXTExTgxdrgY4vtlpeI+MRnXOOcZt2iHuRF1sW97FP+8VuUgk38fMEx/phGowQzM3n 6jgnS4WLap/mtyzGvwNYhrvLzBISWRqtok/5usJziq3aJKpXMS6GzXwF6N4TQMeVJAyqbwnl K0DXSkFS/G6iGF0B6QmJtlfj1ate5aMD/FgEUq5KvXte/fUd/ush339qh3mafFq1nehkfMT3 XGa/5l9yEd8YZL4E4yswnUwUoheYr9ZKKDQGK0tbgE+E8N0NprHy9aanmb+dadS9W6nYr4I7 KNAsECFUPhHuqSuQYyff9xgQMWkIEMVKojkJAMQdFtnJMObLBWMsPDcXtt02vfVfZ/LqBOOi Zpm5uMYn1L20l9ntuGQY1sxxogN+rW3X/Mh7ImvD2gi99iw0f92RMM63Em70QCb50P9XDs/f QZfLMp9QbxLNosU/xzvxVV2/XKvnzt+3kNn/RBQPbfL9jyZfxdKMXlQwcun47oILAhtX+l12 8fHCndufqq4MLbbbwzumU6p3ws8Frah1WzV+6KHd8FP/o8vuXjSdPH2Tpe2Gv7O4ZZ7d2HIF LNzRwQHfYokC+luW0i6+XDTeVqC1TQ3fbkRTo2iYxRnw8UMLI9ksbZR9Ou93siZeyhmvEsV8 1SeOJ7h2DqvSIPpcaTg3TRybNpdb4AOpNAG9bWTmAhLms9qkNK8CAsgoY8vQ4rhebSSHwCMW RsJA+4iGXqM/cI92rDfPNOujnOcbYQCLwj5fzuNb9RJEa0fxJTBI3fYlj+hGtdQukOv1NnAj oHhdAcFAdj0GWScJk6zNEJDClMCJwcUfOt4Du98ySeAOglvBKJClk/C9poTw/0BJzDsmwqJO VihpHt+4AfEsZlwElv8f80UavgplLjPGaZvRs88VS+YM7ZIzjGh9dHvD1Js1jyEhCUwpOvfV +QkfZfuX4NNAhNCLbQCUYNccL7D9n8ESq8ATPrYJeqtLUeTlomZqq1NPNOlDCLMFZgTyMY4o Tn+BGvoK6jGhldU1q497Gx7+FasmLme9+Km8CVuWVhHSPAAHPL4VBidoQA+fK7fuKVrv7/1l svqf7WWj9xN7lnUTH9AN4bKXmVZvzWZ7lEVKKD1+OOOSX/Wh9QxVpiIN+WUGCJjyg22Wd9yC aA2kZ5trt+DAg0Qdxp1/PNmwLYpHixkXiYmMJZb+KbQa/hgWo1HMtNOjE3S5BkEf3EHbAjoT LGvTEUo5xjjWZO570k92pjw6MCnePky6wbP26W73ygg33DdDWWgzxkQAo3k4pwQDLFGOLhMS 7eZ77+4l1O0fDTj7aZ5Be8fMIixq2HtY1zNpZ8+jhrPqW0rFLH1kIW/CHOH7K0zNN3lowE/z Avky+csU+B3Q/uMr3Y4PILlVwjI9pay6liCIRhIEMbIYV3TbAZeBBEb0lKum82rzSDgw3t16 UF0IM0D5Kk+dV9K+koTw34AHgZ7za2AWvKYEDX+gJJNF0yKeIKNJxl7hn1vcJKdoyWHOvUQl ot28kLZFk+mnn2Hljol21ePzGS5BNCjBF5dWIO6E77fSXJPEPZHJXQQilohHR3nX372TN5YG wZvojsbUPn4wk5I0GoSAbYKvnWeLHVaTtperu/EUcy7GiWB9CCu+0opRwAxzYQjMcJqx6vl+ v1Lbc1vrW2YyTFFxxeiJVs3jC1iGpa1MDfMXVxPuLZMj5ngxiPdYgX6aDszi7qbLM2QEl9/6 xB1ST5jOBOYs81HbeQPtj5vwNYqc0/urfKpsBMkklm009Jnrs6WP+e1pTh7DBYM0ViHZA6j9 HT4zGv/9yaHNj65s7BFM2Kh5cYoPiLDsanx8aNB5qOpLzFH0xubaextLJnOJoSusqIeg+jAP I8FgplQhPpLNshhElf6Vil2gEbHKAGRWNiI6SGQJqzYC49ZYRWYAv2gMJl+BidUG4HZTT/tu C8e/OsBgF8LoXz/XjU6G11PJyCwv4bxWvwm+jIDxma/OveQ7a2O/3GhF1+Pq4X3SenJmTdFF TMVllh6Y4FlHeCZ0sGrX8Ei3BT3E8MhRtz1xB1sJgupd7Q7RTee4rWs9tL8PvgZ0jZL4Ig9U biED1IDvCZ/48hKQ4Ot+8dIFcBn8Guhdx+53Tq/5wm+TDe+sJX48TUQiHu+mC7Pxk9mcK2Ri c3shYNwfnV18GGCYtaQuIUArpY6/whijMVyRWpLlcCC2VnbX0kDbVxrn7ybPGSpkCkKPThh7 nuUOX8aFOoQ2mqLAN+Mn77mEv2ySiRxOFqsmxn2M+dqHiUuVneBC1E5tsEr2Xa2OW4zbdhHl 4+Nm6fMGSdorxWolDBj60djbS460Gh3CWOaz+IjtyPdXWHe0b7NjD5djN0c74DBWiO+rmydp 9K9jpcaYXxV3Yn9JYxMZ3Xug3Rf/clyyR1yfPWbT7kZGI0+HHk1r3213g9TOK3leUGxn3fFP 1tpv3SjYO5OD3pvhFty95MtBFN1F4Xb+MrG8+8BodoBl42+oGf9w1dk817SHiv782AA2MjBb zI2p1CqJ9YGJ1JCfDe7nWxFjRNP6GloeiJAwY9gKuZKpF4ZZU7iZi2w7s5nO2GTb9weJIszj 6ehbJwmGJh/AbesgEExl9vdxjaOk5zZG4mA5Fwf7cGPmsokOsDzyJJaO4IUJk7hLaLPFgoku z3tuAcE7zRp3KZTjcbgvov2SRoFsEjRZpY6kZC5PGv9LPFMWZxoupmtJC2fKR/ZgVlfC0xhC wjHktFmQdq5Z4bSshxhclkOMrUb5U0BCMgZOAV0nayIBELQvS6F714CuPQDmgNpB1GJXqG5j K2F8Erym9INaEGnzy/SBqEOtzKqB1cOjfL6gZLaee5ZVNGmo486kwyZRCBgCWYcX+WJtwuEO m9Em4Up0gqIhOidXSi8/qS2Rpz3Ck0/wMZHzSesajEmiU4yh6MaeQhh/03biDA3sm1m56hiZ XnY44wxyydDjcTlXKJ1bu9SusXTJV4ncLuIG5FzYovvE3I9m62fp21axP3o+k+lUzpzGJ+cj BRTiDhYneaxt6wubHgu9MUU42yFYzLJDLBp3YIexVAyNGSTAvEBAgbW8wvECn+Qt8UX0Qp+p Xl5lxC7rXdH6rVe3ceycR39F6wA13Z/w4K8kJXRmgUKcre7bN/DqC14iLtJg6it77p6Xc2bu ud2NLIHvNzRjnwUb+dxbKvXn6Wy90ajSb5h3Xrtj1/qG/K3yTjCbztRNbiBK7uybnVY9HY8P tQuMGG73D7nq5rrdHZmPnt3bbR9Y34tL7VY82MEiuThBH0cnASWSaPEKUayhpGebQZw8m0u0 Nxibv88iXsEuQ3HgugO4pWLqGMVE1ZoF1PYGnUnVXS/O78VumNC+YyjC03QIF1FmWslmnU93 y4rsl4y/PWESDdaXff5F02nRsfU+6nWMuvPo1Xyin1ENjD+7p0Y4WM9AOvhAVzdaJS0vhhc/ iOlxvbvHMdRdSyGhEciq63bJ4syCLSABEU/LomyDBaC8ZF3eCnTNY+A1px/UguhBBKfMdWkT rFDqg0NJN/Wfv908+qUXzYGqPo6DaOCDLdIfsQKDjeDPzsGhi1Hon2pZW8Udu0geEjSUTneg nV6yyZguQsc+5t916L2qFhG2lvGIGvtZvJMBTPURQqh3EY5tD0XmUUItQ9VWNtOsB8/VGtF+ rRneyzUjNGuxUNFNRPdvQZtt9peCuFAsMYW28KdbK3sN27QMAckwJCzKTrBCYjUV/iJrkCwy jmMB8t9Lf4VjCPsLFcZTIfD0apvRyVEz2ezEjShkpV9cc765vowLsQSzJSBGrlK3Q7iVLXjl FawifaJeqMWzsURLuT5vjQlZM4wY+MTWjmPcWvwBXM+JZBF/JuktMDQ5Tbja0t293GhYVlSx uSStnDIfP/RS3jMbG50bUl5zjrBcmW/W9S2uBeusCpwa6ouyo2OutrHGqiwtb7kdhilWxZ8r 5KMhP+MGKi1vvRWm+RQkH/aN3XQm7fqmh81+vkAQrW5W+kLvHA5yc49gICr2KOpbs0M1nKUP rb+KcKwMmGAtw5SxXT8e2IvNSVzKYa4jDqK2IZYGAcPXq+H7rBSNv0r/ZueyDccrrFGgZinW aIMFBU8PBW7xMC7QvPNeRBoKCCtRaEYbvCoIC9S/rIf4QpYiDZChLtOL+XtWBYPTbXyPs1Xb QpZGfDQP7gMSEv2WBZHifQZ8FSCTrz29HgIi89mPNWgzenuc0ahHiOvXmWPhn73sv3u/nTgK Z12HL/VGCMn3zs0FQp8QkzXYLD3wSWZndOPimhzV9SulMdaJes0ziJHxi46xf6bJkr0DO1iP kO9v4CawVKGdYWEIPx2b5yUwuDuHqcxzcRyu4O5u0kk+QxTtIIQ/TORkWlEUQl4FOrwXSunW k/Vyc3t9113CEeG7NmYQQjzEKtTDlYH4XazNZQt1rJ+PC4VA1MreAnMCH2yE8ZG3vcXE/8M/ cZcvLfovXjyP65F0EwhNSO2v4SpkCWFPV+uu0WnTk2/cC7xLkmE2O+SfN1w0MGLXq+VOOqy6 B3bqFi/EnOILu2rYVlgZ/iJLteYJSY9V95OvNDvRSK0RjxQG49Vc1p7lU6EeHz2dxI1hprwb 2Kt6W3vVxNfzqc42bZRsvZWopAv+CnK6i9c0MZhL8o0Vf5K6uLi7Fz9OW41JmzFRBXtyeiCI J8YSm3Vm3dMmCpKlRCfrpz2izhORlzyAK8qX5VhSoK8zkXT++UKUO8vSRLWmi/ObsT3AwK9Z 6M5ws0Q6mSbUnqZNE/uVHO7XYOCtYI1q+yYqbBPUQLHNoPBZcziuD1r73LRLbbadF9DzOk1U YwT+0VAgZhx3BeM0NFsFyE7X1VLUSVCStwFdu+2KUbYSmCNAwrEAjgP9fgKovTICZsESeA5I 0ITXnF4PAeHluwV/ntJOw7xmvWZuY2XBgf2ql6GUWOdYzC/QZuP7IEQ2aPXt0kAcYAWDKY4x V48bXzWxaowpRHiQV8lgeTxGxJ4KM24ul3fVwUFWOywY124Tp237DFg0GCVWgCbSRX8lI0zc XqfjtAqKLJKIKOLJJ8X/Rd+H3oX6frhQa0YeHzK/FNKJQyGZd+EXlp1HGDSapbPjWb49uLRl 3Q3EXB6PrD23up3e+f+Zew8ov7L7vu++f51eMJgZdAw6sNhdLMDtSy53l0UsYhEtkbYiW5IZ x7Ip6djnODnH8bET2TlWnONER4oTxyeWLCmSqGaKkii2XXG5u9zObdhFL9MwmN7Lf/7tvXw+ b/AHIUbySZwFwAt8573/K/fd+2u3/259vbrlCz8TKg88GlrfOJOc/M7L+fn2lvoR3Be14Yb3 11lAvw0lfG55NfNtSrcH+aaNyWnaJQXcAiEzme4VhthXV+ory4uZZ+ldOhFlMytYcyY5h04m as6ssSEDpSqlb7JIDY8BvSS3tMS8sN5wkfMj1VKmI4cvX0zD0vRsfqhcSS7Ss3G6py9ZXill 2qrl3GKUq3Yzg6GfLtxtSVScmpgtf9ceRAgsLfId7dG9m7qi2VI1G7EByniho+lSLa7viZrX TzCgu2u93Bxls9Vs745KU08fSxXWkqSlrXqViZvZObaOQ6gPUq3GnwVLu3LFXFtzvKO7q560 dcXV8mLz5c7QOpZpLTXj0/gQVTUGgqkwh9x6a5R5p79QHyvUcrVJqnGTIT6Oid+OjKzAZ2b2 pF2+KoYCbRWKT6QdNtTI0tICUUmrVYMcrTrZq2kbxI6GdnAfsJSw5JkCKtplYHz/WeHdUBBK 1HRM4lmK0F116gzM0l0slTIjeEh7qSmK36YEYKJrqs0tKNE5igwXLlX72YAWCnQy1WOCuRP0 sFJHTBKLwtfo09+KoBzBiu9gn8DNfd3htPM5aMwVe3uxOCzAKi3ToUkJg3CVsfStfEOloKBK Vx6at/cAi9R0lJhqG+vL2Q8qEzfz3TJdtvV8Njt2b739talQOcycpnthSbm9Ep2n8ntwiY10 ytXcCwzhLGU7C4PY3/unJuNPPvn1EH31qbC5tBrt6M3mXu9sDldy1fbvXp2p41Y1Plljsj2d B8f5o7Wbpj3T19Ec9Xf1Ikh90cvzM/GXlhxRKCQDdKsttxYTls+gpB3UuelLaMolvUgLvUMK dQYytPzGzEyGPd6TT2/qzdRmpvJTV8e6zhbbkum4vjZUqm29sFxbn+/pqm/q6sx0UnrS75V0 sOPuWmk9GZtfyVGlRSZTWmR+pKMl39TUFpfn12rLuVr+YiXOFgr59X7aV9vWaslapqlcaMaf ALv9zsYV1u3TgzafhN0ssrmLBsZAqZK0IdQVhLqlpSnub22KM5R+tJQoBTJxmcGnQ4xgdq8y XkQPXQbDVujoiON4Lfs2HvUmKKW6phhroq7kissyXf6xQEGGSKPthEtABfHcatI2sAcoa+eB 17cDjTPs1wiHAfA6UDkaAZG43vPVuPb/6fhuKIgZ2AcwtrlTFMF3UZ2axPRPFrPxLqZDTEAE Bs8oZSgRwAFKuVM08GisFQfXs5WWco4J5LkcngeTERTkLeLCWWGRjZxqjzPyvptlu1mrFcwA vriyTlGORWaqR1ipJYyUwyisPxMOnUIvQXIszHoVBUKyokf5OU/9d4mMdtEW0NpQA4zPkJBR Bsj2o4Xba0m1b5JJjkyRvwtK1+nVQQZyvWRsHyZrOqnFeK+qnmSQYtfEVHzw4iBr1/EnDLeG 9iaFP2payg+yd63bV7Um9cxPoXf3M+U9xwaep5j89BY9X0dK7HHCtPdz09OZZKUUP4fUW7r1 5wrxPL0//VTTtlCsDrW0Jd+ke3ob60q62OgTY5F7DrIhFGs/VWY0bmE2N1qOK7O1aHmxVovO YJvP1+MDV6vl8e315dxltq3b2d5T2TR2JYpHRrLDpVLrKRxosxCyhLJR/YiSH8IyXG0pJFf5 5jKlbqmlUD0AjZtZU7K0spy615nr2xwW4kq2PruYLFTqhXxbMdq/qZdJj/nC4OR8fBIF+THi W+nblGT7+sM8RJ1nH5RzmSg+3Nqe7GW7iwHmpe0uZIrrPdvruaYOFsfF2c7lKLN1uZrQCZA7 RIkYl2iMExfNIkqCJO2aVZHPAEtf09wKmq+dWwtReSxJbFsodxRoqfG15DkH3tXwbigI8p/W HWkDxBZ9qXbnM8kAyrAbK92JchygHgTxAo1r2wrRAoPfz9KNyLq/qq5GW6l7Obf3QmuSXNiI sDaBYB9hYPEEdSO6VkMbLem5Qi4aZnemQ6z/rqAQFRxS20PWj9eUXhZoZfCizuY42UtUWi5Q 534IWkrUQfTpFYAysXoxZN5uYkCQ8nm2LWL9RUv8geZeGt4OtdVxycC8PkomSiWrfzFVnvgK ez1PcOxhJkAnDF1j5AzX18nlclytM3g/uYQWrTN2SAm5F39YA4UkR0M0empXyM/B8YfX4ngY Zf5OpRoPkF+zSC0lbE/iwhyrFi8zwnZyfDYsTs1n3llZTXZUatE2jCgKnf8T5PBu8oFAJOfj UMPBXnKWOKhQ1mb48xpGcyd6z2zpevfsYiG7MBuWssX6BOMT85Xa+jCdFJf5nI1Zp3ycYKLI 0Opi7symfHSuZ1uyj3ZjdrHUUZ2eDRMry5nZqJb7Tnc31eEsI/RRMtjVldvsGv7Z6UzH2mrX F1fW2UwvxB/F2XelpzvU2OioVsglz9WzOZo97OTFUmnmwfVT8pf7d2DyKBmq1dxIe2eyPcll jq3Va3ew85A7T9AznyqBMqNiKOzWICw9VABLhs3gGIDsaQlhdetOYM1ABVJJPPc9RO3dDe+G gpgi67YDAPlI581QqwgZUpsFC0jbIg1YM6JgOE8HRAu0CbI9IZ5qqxd6V5nUR1WLvvW0H1ti UEFpHWEq+P0o1s4i+/utV6I+ul0vMMrwDkS/g7bM5sVlluPCeMYACozI5ZnmkmXQinURLWeh 11EmUPbnign7j2deh1OXKEVOMz9plkGtg+1IVikp5OPN9f6OzrCVdkKmvJLBPRbzigvxnQgI 3bUUdUlmBmtnfdZ07aR+v0BvjWM/TN9y6JwGKUpaa8VjSrb+SfKKt9PsDOs4Zicz9W1soXsP imnepbclrvFQAMH8JI8z944XovJDzyzlppgPyRLhJNLp9xZI+DIKgnDXPgc1pO0QIF+pMFmV sEqhMB0ErpwaiLLRWi3Or5dLRYxVvEZV6WKBXOALzOreadKG19TsQBz6fn2+XD2wtt50X6Wa LLFWZ5oBkLcZFmdQNbNQZgckBr1XWlqjgXg9s3t9PbOwVIlfrq5GQ+v16odJTw3j9WJnZ7ab MZVyqVyYaC00nyjmyruiQnZxdSkMY1kmCtB+db4w1dyUaaOKuj9kaz0rMevvKzgVZ44Y+VR2 hgCKnjakpcsoWASW+B4paNKZGd6DlOl4iKWKCmW1egIMA2lh6fKuhXdDQZD3NJhwtd7ELia5 iKWwrkyKhhldP0kXKe2OtC7pJDhn8OI9MRmkFMATUH52NUo6yvl4idk6873xvWv/TTIWf/uf /pM5BsiH8rmog/7VAXqtqEpHVyeW8t9uziV34HG9wIDfYDXOTdLXvxOHC0WqKVSb4xzbGoyh BPcxONiLN6tKHGXfborq88xR2oSkLlLFusTU9btLxXh3aKVrFeWgu9XRa6QraafU2lIohGXc o7ZtzI6IFew3scDvgw1zeFMssbNtkZG3VkbijzK2sC/alP1adzG+E+8tbcwtwzhEMT14m8pJ Fl10aknCso20camCyFwGyWpb46h8pZSZYEL0+m7avsd57n0AEuX/DUq+B5no5dl+cB5YjaAn NvVBVeZI6ZLWw7fh/3cHXRotTDehA4Qp+3FutonlvdBklSm/7+G5e8B/YKyQKi4pzpefoMBc g3aXS4u5mVqNKaVRmW9Uu9ZLraN0YyWVUnQwm61lWT99dmo2c66rM5peKVU/Tzxvk8LRtdXm wuZN0XPMvbuP7uvCWrlWnV3MD1VLxQsdHdUmZkYuQUvsVnJnvqnetspcvbGpZASaTpBqp55g ANIu3RGOypCGwEa3Xb0aFTEDLgCrXQXgO42SZhvnLwJp+q4qB/GlFs3juxHM1GfAJTBNVnW5 A2nIDGulSflJrsvMHpTAVYaHa9nkTRZFv8o8oRV6YopMBulgbhL9+91L4Rf+fvly+AWVb7K9 uOOtkF0/1NxW37qpl77G5cx5JntN4HNrD76o+F7sbNPXUJCEqtgAxTtjUYzQU/zS8MRzoURN RpgYVKNNxDqIZOe2iB6dJGqeb4nbsKpNKNIqa9T3UGJ00ePDjmmhyMBf3nlNtKk6KEEk/tfB B3hvnXX2k7S5mnBqd6DQFe8vMNNqeS461dfBJlIdTOso40aO9lFTPmkhDnaMDptcmMW3aO+m 1QZqeGn9GiOVHCHljzFX6W5oNQDN7uDeL8NzrH7y85zvBONgGCgsVpc+Bj4NtLIqykMkkWEM eq6qYSqJq3PI1hgOMAZQjvdz/16AstE1EOqnkb+PKlL1cu1NVjZepIw5BR2Nfy/gG5V6rVo/ tr5eLy0uJ/P0sI1D09WVUu0t7g+AHVBkC8ukf2N5Pr/W0bx+11KlWh0czV5eXU1majHeMCv5 q/kOpldi/HAiWKdbujI93zRerVVpLyR0ZCXniEelt3ql0pvvK8D8RMASweC5QRnzXEWy5qA8 eRwGNyW8GyXIjQn7CD+OAIvLCtgMJnZ9qHN18XJ5iXMz8sMIiVaAHQ/CQmstTDfh2xaHTxM4 ctiGiY2YVLXYUf/K6vjBoRq1zOzubfdXy5WlmSi7urXYwlqGclKbWcy8uVChZlxnnH5D+U7R mX4EX75u5TbFGD1DKAx+hciG/1qG6RiszR0jw22s41hBae6fziUfWShnj7MKqpuBls2QfgsC NV8qZYdYRdhHh2t7ezvuQmtMCqyh2BtTFHbzPddTPE1J1cV+ag9gIbM2cuuVZIRqzizuRnew RjEplZMWlP5QRxe/kC5VbQAAIABJREFUakkH7QrG3dMqxZ8TB1GkK+cWOEorS95ngBaT0iZV xr/FcTtQeAxdgDylSqLw0OGR+qz6IY7dwEAy096dhzh+ABwGlh5WT1Sub4Fj4FGgcI7Cj5O5 TOECHod28Pth8A4wbq05Ap46+lZwvXYv+DIwrUxTyYzHSebjiyv5yWoZcxRR9OdZg5Opt6yv dz1frtbamWlwZH463zK/UDyTa8qOlcsV8zoMhoBVLBVCobfU2AaUFc+lkTLqPRXXc5WJEjmd fr+LY4NmnL77wQ++m8FMd4ABIDMsEudRDmxVGsycArCfnFN1D8eoy79J7YahgozrIjrYm6Mz bi0wH3duYX6RPitapT/zK3PJlm37r7z5jdprzA4fml2l3lvLT9NTzKTUtOojQ/82vSSPwCzb GlSvslMYIKxLVCDul1nE+ArcpuCImgpJ8TQ3j89lM1hBJpsy06nCBCpcDdVK5YzNDpSt8BYF XcKmnzuZpr9ArxJjXNF55kTRfR+6mMJ9lsX0F+mfPE773K2uGX8LCzOLhacLmTrOFcJ+tnNr RhFbOjtDTAfDIuMUnazNYgJuopDLfIVaQW8GTaDn2u8/5fhZoDBi7VNaUiKkApLn+DaQjtLb OHzX+FSgViDde4HGQwvr9YPga+As+EdApdQie+89KIffexD8GbA6p1KtAZXVNCi49wHTKI9J D/7K2GI7jip58jWc1JtfYYDy9TifrMX17Egmu9JFT0e5NN97scrSg3quvBpHzZO1ammQ908B 41b4I2AwvfuB6Vc2Tbv3pZHtEEtSlUdlOQG+CYzjpoV3W0EWSKnCaoaPAzOn5bmRCDJ4DzgP HqAhAoOjF2kPj7c01Vi0E21dLDCTbn15jjrwyuOPf7D+m790uv7Gi2MVpnSt0UW6Rj//FNM4 cK6WVgkULom0CRnpA+2cYy3t9YkHAOu14nN0EV9eYtfaTTXW8mG5ryKz9HjRWcXK+RDDsPgd qlEIhDNj40vEcY6BujOMSQzgt4shtXB1tZzpYbivE9HchWAwsBxfgYCvIPDtUTYMMALPNtH5 r9Cb15Jn+HmVafyURC1UN7YwtWQul0+WVsv5ndTI7yR+BZ70pqWpNLsMtKbC/PwUUKi/DRQK 8pQGhXMAWEVTKYxD4RGNatgy5+Lr4C0gLxS+/xn8A6CA+X15IH8UQBXlJBgFnwTGvQ9Y2jwC /I6lmUqldSfNyT1AgR6m+nWWhV6n6JrDbTFz4pjSkJbiTEZli/mokpSv0KU8gnLweKoA8D1V NC9YghiUDWsXpt00+k3zZFr8pnIkHR4DXwZXwU0N8PemhBliVXAHgMJm5lQag0T/LJDBrl5j TkbmSdaUZItJrW01jlvjclJgpiMbBCRLw8OXZazvCgklMReuQWu2Brz3HDgN/JbX/M4W8B3a FywaCvv5wUKjZHYyifdgmh5mXB0mxG/wzG8ChVDmvwK2MEN4lFbs24Vs8jZzgfspA4+ul5I9 STXq477fM/0ncAmxlAu538/n406m6x9mT5HDuDrt59nuCptQ0RgdxDovNTWHbSjJyOIi1azA NLMNI2H6IUFaQmhRZbjpUFgtdc2redaSehwC0lOhWgHmTx5KIwXpAhgDKpHvDgLT+UPgS+Ag UNiHwRCQTub3G8D4fP8h4PvmsQKMR8UpAhXbdDx77fhZjkNgDmBo0vh2cfRZ+e+7Pm8wn/LG PApLPX9Lc48G82zevKcMmT6hYkgT7z0B5K2/R4DfuGlB4t6sMEHEe4EZlcGN8BlOTgAZzViH 9fDIBURL7UyBwknCZDbOH1nB+xQ1HImnNZFwMkxiV4FEmQQy8l7wKNgJ2oACorBJdN/7cxdo sKtoc1ctt5WFF8cYVu+hssyS+Nw3ENY/4Rm/8SB4A8iMOg30pdbitotzq+V7qV49Xi7l57L0 qFEdHGE+k3mTcdtxPdFKNydLWRkgLWc9Z/UqIxVxtIg1da0KHhujCy4BoCdv28pqRqcLZ3l3 CkgbhXsHUKBMu/Gab+9vBu8BvWAI+KzPKOAKi/w7AoznIjgHpM/HwFawB9wNXgCWTH8bDAGf a3zH/FrCSC+/o3D7fYVeAfRZae19BXMIvAU+CUyP3xsFzwPT6/vywXQZ/K7pk9+mUZ7kgTS3 tG8B3jf4fdNt8L7XTZ/P7QJ+3/ffAZ8ClkKvg5sWJPDNChki3g20FjKjEQ5yYkY7wWqSjTrp AmRRVXyGnqFcWz3HBN04ux7XWJB03apryW4MEs1wlJknHwaDDK6vwpsWprD0Q0NnewxSt3qd ed0tnXHUxxjH2ZWk2DmeJPey1LTMu7/FXPvf5CiDJbTKJzNVOIZfwp71ytIB5OKvU31ggDMe Q7CJLu1ytVohwy4zNWSFx3+Y/uwS+UAA6oskzgFJ/tOfFKhuhGSYXqDXlthSgfcVKt5JrXOB 4zagsGsR7wIKAO+mR43CMaDAngJaVoVIYV28hk0chdUllaoHPA4UrstAZR4CA0B+e70NSH+/ fyfw+9JhO/C+6TO+cfAEUNH6gM/9GYAu6Td9TtqZNuknv03bAvC6Qi5Nzc8l4D3jMO1+33RI D3+rUCrXMFBe/GYEpIc0go5hADwLjMtnpMfb4KaFm6EgZspwHHiO0KQEalxf4venr91jjl+G 7tbkODenq4Xkpe4kequU1EtMke6HqhJBS+ZRBhiHiuf5UfDJXGh5DbyNg0S6TwtMHq3sgA90 LLGBB/3sUHedXq0ji4yHrDBiz3pgxlZiGfoakDHGLUNN106gsMksLZnCoRAMAhmlEN0PDgEF aZIkyTjSFKF0adUpx28tpMz/BlgFKqRMVegqwDhUMuP0WZmuguwFA9eOWk0FzvdfAQrDGDAu 0+nz8s/rfUBhVhAHwPNgKzB/p4Hp7gYNay39FFatr2lSAQeAaZcWxiXfNG5bAPlLS6GTHE2v Bs50Qes0X6ZzD/B507V27XiFo3SdvXbNeEyjR+ncCvy+8fncEDBdptd3/LY06gd+z3dOAt/7 EfAkMO03LdwMBTHzMuAeYKYlkqFxXcvxQSAjWBNF5hNGp0P0BlP73sGJ9QGW422iAVKEMhLL OBxc9JxDGo9Efi9goU4by3pTprG6to5fqMpeaFosssiHIqgIp3Yz4ZFO2twb65nsxVpry2wo 4cdtQyBMk0KhEsqA+4CK8zR4DphGBV2hNh9vgktAYdM6voqMXiBZPBchjM5aTy2mzynICiTP XG9wGsdLwPgUinuAAmCcCpUMV8jMp4pn3geB6ST+VDhUTIX/MDgAtgPpYekh3U3vC8BvPHTt t+9MgM1Anps36dkLLgPz7zdMk/nym8antR8GB4HpuQiMtw/0APMj3b4DjKcD7AHmyfhHQAEY n3lqBAXf9zEwKY2857OmweBv8+R3DNLVvL4FjPfngc8/C25qkFg3K5g5mWhGLEYbQeF6AmwD r8HSJo7M6wud7dVonj0/mRSaGUSL2vCl2V9uK7r70iz9vczajfRiIvEUBIXkGKXykvMSWUZ9 gNHhu6EfM+mTEktkM4ir3zrE+VW6ftleo15v741OM8txMaJOxlSJGt2wEl9BngtNhf3dbNDA RMgBHFq/wrXXr917gKOMQSAyy4wh8kjxG5nQzhqLtdUsa7sKxdidpEr0djFBmKk0GZ5GYCJ8 E9ME2sl0b5Y8ZfHAk9lGde1F7imwutHBPx3dPGSETA1x7btAC96AQrhCPBc6e6BjEn6SiZsD OsfiO3gKxo0DzvdwljFAHIcymVD+6Q+HU6eGQp7+6mnelc53AA0TtI4QzPbzZOc0MxN2Mdnx OO2qCtVbvBalPYBdPMf9MMeUGmbtp0qiNb8LqEAYg5SfuzmeBAryfqCwq9Aq3R4wCPy+aPBf vhVBO2gFc8DvKSPGQxauG0Dj0cionB3Aktx4NCoq6teA8d3UcDMVZJSUK3x3giGggEkALdS3 geF9QMvkvX2slb7KA7Sho61cbMYBlFWipXItwQLi4Z1ZUQQeTQkjM1Cs+F5KjTuTUIPxNZZu 1JNikXiKYY65VBVa4vracgPRSYQnVBdr2xgl1zrm6IZ030IZKLOKoYDzj0qymQb17i39YQaf ugrDMGgDMhIrH7WhW+cQ+imqc3yzuoCHREbUabuwym5DIRgopDoA6HcIe1GKVwtJ6zfJF3pX Zwwo9vuWVEiDu1flvm2PGd3DCppWexCoINJwCLj71hQC/3HOHyH9eo7BcUvquNrOatd1a2ic 5DzwznB4H9/eFmVxoJAPTFakEks1k/ubSD/0Z5Z/rv4Y6b4HSqJALCxj2wbicJ14H4q3Dhbo lbPUcqkO6U5pJg2OA0sAhfYqOAXkoQqkPKmICvfbQAMl/SqApKXB93YB80e0aQkOf9P7PuM1 w25QBX5zLxgCliLG9ypoPMfpzQs3U0FMtQTcAVrAJEBEU0uhJZD5EhIGpdWLfpijv6xz+SQ6 3ZGNz7BKsJsZn7m4rTjLLoILSSurz5lHQpCQChKWh07VwFahuMuBZl3FpjDf3AxzczjK7gxv xW3U2yuhFQWpvf+/Ct9i2e/Y/BWEgA1z6Km6gM9gqyEq8koXc69WaoWd+wcYL1xna4Tl61UK FCO1XChSwlLU6pUN5aj9Na7fhXIsIIgz5KxNZSR1TPqFuTwIF3s4Im95pojX7kBWeT+e5T1L 2J2F0PlkIXSfQ07IXAlLj+ehjerUNEefk1bMzEEgo/AxhNV4paNGxeDOCFr6Gh+JEXrsCAof UfVi5i6/N5G+JYR9iGfnwQpd2Ie4fi80cBlAScMBNqNQ3QyEFllOcJCBTuZ2pYaDpltqKFQW Lb6W3G8roOIyOAsU5vuA/FaIvbcKLAVUIPnlNRVEeUBRU4UyPp8xeN+gIvg9FUzeWLoUgfLy DEiFgONNDzdbQcyAhNO6DF07l7l+V6uio+R7mSR4CUvOxOhQpJP0D9j4oh12389+NMW1JFeq xzk20KnMR3EeJxoNuYD9Gwq3wrTrGgzfR5WgifrZBMxeRDFGa31hIjkVzmZawnxtOZwYeSOM j18I43xvHQXYzLQSdiVPxwUQ0DDT3pFhhVFT3wOPxqcX5uKHw0rH5bV6ebWDCVXlGmnaaByb gPcDf58l/cx5DC3U/SK+q0M188YAJBU9pJ5EKgx9tVClRKlTEqV7nagEMp9HosusUN7JdimP cd88qYxCq2rVymt0vIWPEP/9TKB8HSVp5Xongq+gXCtU1RSe9WkEiAOTZVNB3kL98wDpa0WB xlg0f5aZA8epXi2jCHTQ0UbAeIAq8VZUQOLRYdwOzk9QdTtCFW5ngbUin7o3XJlaDLNsNmTJ OgVUXoVaKOQaxEGgIlmiWY30nu2kAXD0GnxuCPCZ9LrG0+ek1UGgMiknlh6+owyh+te7uDm9 NeFWKIjCoOaLK0BCCDKdWYPpJ4psuUS3Kr4ZoqM4Tnqhm+3Z2rPRBaRjDk/vOL2h6Y5jNrxf Iziwe4OwElcly6IgWsp7rFLQY5XDfOMtDqdlJRyfrYQrrMphW4HQzeTB3Tx/nqnfLM9glSPL Ufh9EWjNJhDtrTUqZbPsNbupLQzs7i2eG5oqL6IcCmwPuBtcRYCugFVQpeqDjyyqU7Sl4Kjr LWQybnT5S0DImJVFybJhCUe45LcGgcK1G8PPzObaTkoVfqZ1eIVrDCg069DH0sHwSQzALs51 HLdMvPPmge8wvQv4h+eACuM/pc/LLLYM+MdgUDYTtrEo8z7eu5O0vsV1PAalFl0rrUIxr3AD POvW1mWU0IY9DjLC8UtTYaBYCGPswqWAK/ymU0tvyeRvr5s/82DpJ3/kf+M5z1UsFcznVCpL BkudLaADmO9xcBiYLg2Jz/od49Rw3LJwKxTEzFjUagnMeKM45TRhL8PIrdjutb7LPKm74dAq LdkrbLqTNOFAGnb3LOv7LHXHn1Y/tCbwUhFIw0OcfBrhaeY4a3WntZtenC78WK1QTXDT5w1X /gWe3g9OA0sBrHlq5ZTMO7xGGjbptIPFHVvvPhotzq2VC/WtH72yNsly8I2uxgEErYsSqJ3v bUMpMyzc0tO67tLxeMNSJKpTPIOnnFSwme3PnNWNqpZ181ZgkNkKydeANDENCpkG5Ay4DBQE 3zXcD36OKtHb/NxRr4RehHwKYXbHYK1sM9/R8lsV45DSx/cMEc/omhWnq6HAeRvKNcu0wj6W DmxmntlJfqtUzDam5AG8Y/qv6Rie8SkZya+zngdY9PUAxkeBNv0qvMZDOVLQtfxel0cKeA/o Awr5IFA5PL8XoKNp+09aqADmPy01ORpUBp8xvAr2AhVQJbtl4VYoiMIsERXI918713p6nUZs Zkcum2xtzodRlrSyHV+0lVbnabpoW3vquelSlDStZBLXoDeskgrmu2mAaY/z470cr6ZWLxfO ri+HHWxIs4e5UZO4vezGo8MlHpYJx4CWTiILGbgT9IPX+MYyPVtUu7Lt9z+QGT17KT5RKE++ vbjIXN6N4r+T7zzM1x/l2a0I1jADkHZBqxS5GtYXS+ukRdQbIUPKOKdQTJWnhXNLn/PEdRoo XFbTzIsKIk0UEo8alCbgfUs5Z0B/igenqRaNcZ6jjdDJ4GQr1Z8y166gMHp3xw1varXxEJdW +Wy8c0IySAdwa4MKv92NCt5naJ/g+wVhhHakPjUytl98xiqj76tgaUnIuXTI8q0B4rm7SBuG ttcCpf8+XmUx4ab5OmO/PCOdVfST4CIwfxoHaS4fVaR9QCUwv8YrfE56qBgqmcpv6SNd7gaj QD7esnArFKSRGbVfK/AwUAAkDOs2oioucbfhfypeW6cKQV05H+e+jh/L80jGGRxnHUDwMFpp V6gWRuKmAYY1YxmfgNn7ea8Ms0apgGXYk/2upJoZoPqz1NQepsoJ/qCrFRuDliAyQaLLyB1A izkETF87zCddSes4w4nMq9q0bUvl7YmJ9BkZpjLdCQfdJmCOb8Z8n8FJqvIIHBHb9rBOr4K4 lDjlNn8UUHZXsIQKp7j+TeLxuyqAQqLQWLVQKbTACpJCYl538N5PogTszYMzNxvjBXwbU41k Uc024rMKF5PXF2hgj7AOfDvpYLpL+k3EnBTxj3w1ql9oKz1glCi5HO0h+qsrZVwoURrSfjtH ktl2LvTyvopOuZi+j8eFtJSRdjigTJXSquQxLuwk75SeWTYyWiX9zhy4no8Gr3zWd+XBR8FB cBkoBxpPSx+hkhjkjbQR8uUBoOKocN67ZUHrdCvDl/iYVa37gSUBpUrLyVxuZS8aoPAOggeQ DC3c9rmk/jgcXqLeIJvSrda4rzVJCQkDrZ/jdyEtCUZh8jhTfo9w/wpv2Htkt9gK3oN7r70n g2REI0j0BmMe4bwDPAMqy3Np1aAyyWYK/DZoufyuAizjmc4VtnLzEtCdkQIgrPPbe+V7aVWF dPgs09xZ3UhVhut+R2U4C260iCqFJYzK0wh38N4ufrjaklnM+JliMT95HaShPYuwa2VL0G8v bauL3P8tBFaXSUfouWOJPw16qlYokgZJJU/bJ/xNq4EkErd0qcLXWeS1lXjO8/xv08q/h8bN AO9b8rXyvg3/svlU2QgKt1W2h+g4YFvv8lOUJNxOawrm8UEwAeSzeb0CPgj2AJ/TMBj6gPnW aKksBhXjvvRso/qr0j0FNr587catONxqBTFPl8Cj4E5k6KsYlWUYuoBE1LGCZ6hfP0JX1ftw Df42nHmafUdKlCIPI5nWXRUs05wqCIwqY82G+X2Y4ysw00an923cFQB+QBRMbOtGSN+7du7B RjCOHpz6Ev0Zv0/BO603OuVaktAxOakDuFS4vCyDFF4ZrBI3YbG3UM0ZJR7cEHDVHi1KEYTJ ksTvWsWqI8gKCt4W06rFLs7T73BshK2csHNVaql5Pf2G9z5HPH7PKhttkghvjVEHHsAepHNi FEv/pt/jgYSVkFaz9vPsaUqIL5PY3eRtC8+4OG0T59JQzzLWHBR42x5sR4Fju2y4pId8nmGq OlXhDI34bDiJwhwhb3Yxd1KC9XG0NFTZ0jj4zjLvHMT53SnaNd+F/p3c0+q/BKxWmy8VQOo8 B34fmL9GHr1n/hq8sXRBNlL6qETnwDSogFseGoJzKz9svd8ML+Mas0DDmP0PiiMhVz7CdmPl yYWIBkfY0xuSN1n3zTZutIppC7NKyd4iJiOmjJG4BjZjh5E0Ql2LXqpkcPKBFcrRNMc/F15I aOdzN3IaSBpUHEuRNMDofLEpbGYs5CST7hHkymGifIablBLxZo6jxK8wOE6A6UyZ6Kj/DpI1 x2U8PJKPfLiIR8QuqnfdCJcCiMsoSpGNRjM7VSuJPL1REm7hzGraC+2sFV/6HtsVXuZSfs9K 4iRvN7tunSAHLCmhfROrgjloFzfTTpqtlJNj+PjqpPr1JD1OKHcqWOMcD9BGsUR8U6CcfVTJ 7iHuMgI9RSeDAqzCZvD+9h7U+D1WYymVnoEmWntnGBxmb0nT9BwpqvFvB+e2f7YwfsQuCWk6 pec68TajnMdIoyXHWfAKUDlagaWWJa7puk57zv+ysJ2LvjMDVBjjalTTOL314Va2QRq503oO AFb9IUSp+/3tK/ni4gM4fp5fWY/ugaHdWLRB9utY2pLLvD4bJ7hqtn2ZCuUUS0eYcmHvZhrs u38fAlzPFXA6l2GKfOIU8aQfT+dv4nqmVDycu1AacewuLbYvclS40Rv6+tnUB2VCQVrY2LJs 2i4Ai/q9QCYNAS2tpZcj5X3NbeF3cFDwPOcTCNhdKA5bAIYmjgqXYxcLwNJAby4LpM+Sqgys JuEUPXSi0LWeHWFoaT79lnV0jZWCoSqFrq7Qs7wc/ku+u584LLWo56voudc5fwogeAljFYlV TPd47OJF82Yc8tV89IIngG0VBbaZZzMYpXWQ1ZigCB2UDK5lOcbRnixnHIyQF+k1DGxw3w0m gVWdO7mziVReBJc0BnSfdzN/2u/6DWxDagD3cLQUt0o8AlKF5GiQd8JnPZpnq4rCGoaljso2 CMjn7Qu3owQx4xLf+vLm3fuaW4cvjazCHBuF7vk9CrV2sqR1lHrJyhL+MBg6Np0YuZQB+M+y drAROLFn6Hniuosuy6TQiqO3JHyJ+CpbBsLy/EQ4uLWnfJKyWsttT81Yyg7i4r1VhGQL7jd3 FELP/1EJK3wnUchtF/hNFaUPTIB+0I3wDK4th1/lG9H7Pxptef7rGHbcpsPFAe7NEKfKomVN g5zneo1qmMq2TMaZDcPUlCjcN32VrtAIYWetPL9tX6gId4E8ymF15zNctz4+Sj4Vel9HUFux rKsKkXSY5RlLqIeJZy+/FTChtVZon+b7W7n3MOfbeW7xmiKbHgVapbJEsavYb36SZ4b5fRoo wCqa1c094OOADa6i10ko6YgwVHEbSkb22d0r1E8CBfpeYLwqxxRoBPlunAZJYzAPBoxaWkp5 /zB4CdzW0oPvp0Lg8VYFM28VS4b0wIj+kculET9eWg2Tm/HA1lZMzi2uhTtXK1lcYMXdo7nk MRqBZ3JxhEvXpu7celtrLZlOFYbX0oYmDHoG3I8GtbE71Hh7Dz1azaF8dTAcQlHC/KWwt3t7 6F9bCuv7fiJUT/9b2Nke9iIMm6prab14oBIGFZadwOoY/E+FXGXZBVQQrfEe0jz4y7+bKbIv B+2JjolMtPptqnIfi2qhqVhgNyWqUXBepqcC4AlgHyZONujNFDGs6caYCXumh7/O9XWqSOcZ Y7hEOWe15nGel0aDfG87z6+hYKxsT9oTdtKlA+seokdxKI820qpQLtGGK6IMfvII77+Xd+f5 xd4hab4cKX8J8bxIwiy58b8V7oti1kyGWhu7+Go8aO7RacE+LIzr2H7bT1x2LswSXzf3hzln FbFz4+RfshUDo9W/zGMqsLy0dFbYLwGV0GA6LSWtUH6vUrlBI9OrTEj/M2AQ/AFQOVIacrxt QUG7lcF6vVgHWsBJGCJzDYM0ePfBRAmDD9/M8faQfbWpvfJv8UDXU15LPoBj6eVaxHSNtA8/ fU/iGt4G+GcLO1s2hWfLy2H/2kJoLbaH4cpa2LQ6y7bQ1KeLreENlKPxPfcExw329W7W7cRh fCrFcSBzDoExYJCBPbQDlv/hj4e/z1bWQ1kcHyLn9yOjj+Ll/WnSbnyON2gpG2kzJrJ5PWjw vWcx6Gi8wsMaRKoyUXiMNoLCN42WOcHyBd6l4zrtUVJxSINtI+eepXPYGDa6Tge7kYeBc6dw xcrsARrgvN/Pb2muCybcF6XC6ICm+TVp5JENezfeUx74bDouglMMvofRodvXOGgWcoVdqzh3 Co1tsT08b0kjP7lkFSxCWRKV4SgYAhoc6aECHQEq0Ia52FACS5mD4Ap4DfxABRN9qwJWLzwG zgOtyAWwA8yCMoibC+kobSt7Kd8LBSma47ncejjRWs25/XITQ1Dsq56bCPhH5nkuXQ8y4CEs njN0J/ffFy62bgrTXQO48JnHuyMb4CAA5Z494a2FK2Et302dnWknCEk7xdTjvPsnQAWA5ynz sM5pnVv6qCAy8UMgFaBiU/L4lp1hnCW2q5VK8z42pdne3J5YDcJDSlp1Mz3CoFApPNStNs45 pqLmx0iDz3laZhxiiRKgDSWJi7RZiozzULJ087ydEyXiLvCckwq7LDt4zi5l4/DgSLkKYmy2 NRyLYSVzCv1xlThnRnuaBgW0I30yoTTEWb7xEdJ0ctQj/RrvIPBUqTbGdIzDtJp6BxB9w165 RhXtHX5Lq2mwAnYBv+FzyyDl8bXfxqPCq7iWHj57GahMP1DhVimIhDgOVAqJJSH9ttZaYq6B ZUj5oWJbGMdP1UcYl5rIZJMLeDmZ3hQyZ5Zy9R4qvOxxqZfyWCurkilYElhGtOGOZIAGSzw+ FrXNhHxlhh57tjbqjsv041MFYTOfkG8Kh+iFYesyYmEGIWikwTgUHNOzAEzvErB6Zfo/C3bS eTCxdRsuNzt7Wv4eAAAgAElEQVTCWE9PPDE9WdtP/5J7nbc6n4yKyhLVEatZihI/NwLfo5Gd XvPT14PXr4ECKO0sw4l6utvSFqRIca5QsjplJaIr1Z40a1E5qlO22OqUmgquI+o2rm1/ab0L HC0lIEkq5Hk/yHPSbJ3SSqE3PXX2h7TVZElksBRyygq+xAI7UqXPFYlDGqFIKb31hey6lE6u LROHNMKYpT1O0krDpfBbqijw8sc2jMbFZ4U0Np1SRLrvBtvAe4B0V6nGwW0PJvpWBInQCiSq 1t+SwyrW4LWjVqfOTPYV9vy6Cu+cOIf/0AQ/ucnyAq1aLNwaHEWpalpTGS5xTb91YJXuPM6q YnZ+alpuZWedqWR3NBZaiEhPVAd5eBGW7aFLdr7YHEYYbT/BXCQYGP2ffOpDvG8aZLQliUU+ Vad06SoKGT4PZPwkAnrH1Hg4MDGm10UVoX6C62/QC+SI+iGE6xJ4nWv7EZ5+jksIlLNj7bE2 zSIVR54z+NuwcVfDoWLRdkC7dNdqO0uXpQ6KVpK4SGO+lbGbJZSWLa64z70KpckSP5hZkw78 SReVw6n3VocsZVQO8+BPS4ZRMI6y7OeCwsmuv/TnMU8L0O+Q0tjxFWltB4pCa53S4UBLMg2c cdnO8PdesB00SgKqbmne/M6PAxXDODQ+Z4AK1AdQ+3RFosql0uwDPwqUlafBbQ23SkGgc0pE LYvEtMSwyN0JZMBJ4C44o3g4bMZng9UV1nDUxqD+A1Smt5DQsynDQ4QApz1NMkeCK9Ayaayc SXqoQBc6lmq4+2Q3XcYD2Py7jT6wSzSiCwwXTjO4Ns50baZT5HF6lkdxS3t49wIYAXeC9wHT +VXwJHgUfBj8O/Cn4NcQngEEZpkqj1UxuofDHhR4GQG1a1djoAHoROCmEPJWxEQlds6WdFCo rweeNx8bwQe4ee0Csp5aaFclptafQVR2bMCdV2gbTpK+b1Ft/zDbkCuUU7zEFgfpginpq3JI Vwcs04FKzi0dpZOlgcKpQOJO1GEachQSDFbadz5DPLajLIXcc8g4csTnYGc6IZL3zKNGSZoN A/l3BZg1SweDsiV9hsBV0DA+3jdv8s40eW56VCBhujSmx4DxalBvW9AK3IogU2SkRFT4VI7n wQwwDRKKJka0heoJe6xQnEfxERgz2ZSEc/vy2a8ssiGM+3NQlmD1UyLKIBmOJU2P47mmzFS9 Gr2HGs/H2uPMMMt03feOuZDhBeIdpIKWxW9ZV2WZ0ek6liyJLvKqTLkMHgaPA+P/I/AyeBT8 A4TlRY6/xkTGuzl+jmpWlaMDZN2kFb/bKD2DcUjHJa65tmU/97eiNDFdz28xR+w0PWzs9oSA Y4kZ2NOVJD61Geh0jhMPC4PKYEh/b7QZMpQOzlRer1abEaoOXIH2MVVdvVvEypZZfpuMIo3z VMVsezA4mlavpHmB+IzR9KbrPDh28Iz0lvasAymgSK1T9C+Uk0y1gFu9NRjC7vKkNZMqkxt5 KsxOmTfPbFKczjNjO4i0nSbt5KtGz6CwWxKoCINAYb8ELImhd1pySWNLV9Ng2lDO9LqyYNYt WR4Ar4CGwnF668OtUpBGJo+QRQlmkf4BoLWzfioT50AnRN8LjbSIH6Q0eBNmYDKjox31qItI mqv5zCIVgHGeVbBVEGE86y21zAep9VTZhO/32YYa3z7xAD0we2FBBwxnNyarKKlCUsQnb6OX MlCGfA58FLSBc6AZfAr8DfCd3bvDL7M1QB2B/69Rhn0owDxxWY9nRox7iUQlsuBAnRbzTdCK EmxBAao8ZzVlmm7nZ8nLIrA9pFXXQrfyGx3esKQIYLqug9/cIl1UmaCD3a5xvZpld7Q2SqJ+ XKIWMSaTKOHKndmw+Z0oKbfnWGpMXpmLkqZL5XCsBb1Jp8DrX1dBVJEtXS5wPgbeCVHLLrKL 5vVcZVYP893KbFVCKWcbZGNU3RJkY6qMa1vIG/c0TpYKKoPHIaDll5c8kuZngOMOYBr8tqXo dnAUwOO0hDjIUV4OAWiYyoHvS8fDQMUz3tsWTPytCu/wIS2J1stgFeAQeAJ8HRi0KAqpVkmh 16HBFFrMPsoOSrGV38YIuulWqYTWSIHYUXC7WoTuKDuCTbLb8Dyc5wEtp/X7Yc6drSoTLcEM MkvlUCE2AT6XKkbvtd8K+8ToaPgopcchBMNdsnSwYNpUdGfx2l1rA9a8mS6VarDYFM6gIMX1 1WiBnaE2sQHnJ3jmVeL5Ciq6A0V1zXozitRFvE7E1OraFavyOPlcTNNjVU2qWfzWd+GYvoMx jPbJehjeSs3uBHJEVbSwjP4c551W4ndqJXYlTV+DRtJbJRSuvXFcZJLzQUC1sK2b5M/hfIIu 6paleoU1nZnl5ky2XkC5bbQTNTzbmOpue8dgdUn+SXsNmwK9kX5OCL7zYYARSulS5Gg6rC4p 8PJZno2A06ARTKNGW36MAuO/reFWKogZ1Uo0Ak2E1EPehzgqcAYtjcRlPx2muNNDg1+gaeaS XJ3N1juSetSHgkhAmSOvfLYfwOTATsdhNVcNA9Uk/wgR0m6u9cOVAay+BH+Chz1+KxzE39yl U59AZD6Ozf42W659l41jPoMeoiSJVlGmq0hat35KjAGOu3ifalk6Iu9vG86MY7AbYNoAZv1i umcQ88BCvIeZtbuLxfA1Rg5frceZu9HrQd4/xlYD74/ryVsInkagBWvtFHY7Hpg8kC5OmmdO lEtsnSHcQZXxIHsUUgo1L2LlL9OPgSKs3cW3ShQQ47Uw+kO01ZpwjXoH0tVBnJO8J19VdktX jYF09bfG5yykM93sB9m8hctkI8+3VqBh0sHq2j/OZc/eS3n0PvJtD1vjfYXX+KWN8UmbZ8FF 4DPyw8DnU34o+N8BKtNfFqSvCiA/dwPlQSVS2ZSHBYCNu73hVivI9+dWojwHJNDrQIaqRBJt jUmLU2zvMbMQ1/8aWySsFNhcp1SM2NcbD1obSuKzvqPgZ+jNZ3u06ApUfo6th48wh3Ef/TzW YizeJfYpROdAuHzqx2ig36flbMq3feP9j00sPPlkS4nmBPSwwylNyyBHg/E7z8o6tqXGGPC7 DroVEOYKlpbqUPadQhj4Ui1M7YnD4heYGbuLwckPM0K9le7qZ+N6ASFiF8AQnazHtYO8/z7g ShPjVSAswRTIbJFp+3Tpnl9n05tarWkXejQEzjDMQ9Vq5EGaMb0Ml7xaD4vHSF4XhmSEdxH8 VMA4pEHeSkcVQ2E07Rwj1qJn53BTdLVcamKBWqkH90WX6ZziOxE7b7W4+IrR+nTEHXtEFW9D IVQuLb/5l29+0xJBoW4oB6fXg/d8znDjfdPjO+Z7B/AZDV4nUNEGwBDwHWl/W8PtVhAzfwn0 XqOClqlBVPxPhQGmm0zSP/ot5ltPzUYxrnUSGd0ozhUALZQ4QT2Hkfmk/VJUvrMpKfTSX3oR ERmhpHCNuBbpceT/w9S7S8zUOEtDN67Uxu74xpPhWeozlBzpfoYnee4ZYD0bHUiZeZSjVQPT Nw20oihYCqtxjl4Xse44prYUSsctpmizOFj3EP2zbFdYHkb43+BejurVKMdTQMF4AtwBzNMS yHO/l7UZA/VKDotdGCGaS3jlGauHkTuY0b8nG9pP18PSTqpFe3n+OaCwao1VXOPUYFiF8ajy KXjbgemmdM5czOdqbJ9eRUCbcB5Tg6ZUCKnCxaw8YIq0z14EV4DC3APMl6WGJYmwyozCpUKs MN8YiCv9pu82wvc/o/DL60lgvLuB6ZOnB4DvSv/bGn4QFEShsxGv4EswmSxxJP5OxsPewoR1 4TOqJ60qUUfnukw37RJQZmjdMvO4+CmsJ/ubqqGPyjwFEKKWTlHPnIGnxgvhc7VMsv0qyxuG 4nD1IQzVZq4TSX6GMTjSUp9kpu7S5v4wNz6aCoK3XwGvgseAJdEYUICeIwU/gxIgQPVDcZjd xncUTOv6pguloxLndHwavEjI/RRnOM5mpjJKTeIt2czHMDDPU4ipM4HZCc7p6nnaHe1vZ8Pu tyjd6CVbOcAMfb6fZ+FS+XguH7/O4OR50iCthoBpUlGkTz+g2pQqjMJtmhXETLE5zKyXsqQ1 4X6eUsHZ+bWuTLLrTBJe62cYhM/jC2Yj+yqzJYfK63eolqXGxuvyriH4HhsC7bn3zJOhca/x rNdU2oay+Rs2p++bh7uAfJaGtzX8ICiIRJMYHiWYR7YNoQimvt9EL20x1Pci8HE+zq7ZTQPd JZzP+UMrqQDMZEvJQwhifX8h+tJYrfoAN/vpaJ0pJIUJZuoO8wyKUp/G8h7G58I6Fp9OACav o5O5TOsYOyLjpZEdkdhGbf/RsISCyGSDimsYBJZEfWAKDNM7piX8OyQdBxTs6IdQ8l3HLhY5 mkaq+2nDfprUunBJj4VOFNzNfS2zeWeFMcLnGAoGoLpODxcJRGGv5MORF2hrsET/rUOkrQUX wyjL+LFsrvoa6j/M8wrvSWC4GyhoCt/rwPTmwR6gsF5oaklaWtorbL3bxLVoB/l/KQnr0C9Z 6AiHR5bDC5+gMeRaGtOrspHMtBPFvKhwO8CLwHzfGHzuxuDzjeA9f9/4jMZDRW5ct0pmNUtj +TY4AOBNqpgcbk+47RpKthsEkgIqiEJJJy2DZAjmIjMtqvn4xb2tye9RItADY1s2fcf3FC4J PQTYzZtNAymqWYT0w8yg2IlEKIA0KmxAp07SxpgW8hY9wTi6LuE+p3mJmfRbucdG7OsIdKyV bGHxT9P8dGq9/IYwqIQyTyb7nMalIYjf5lxBvYun9U6oEvmeLWAF0992r5p2dIM4GFPgOafH zwE21k1HzO1atTuZHZpydK1ueYa2xlwlnN+FEO+ifUDVanpnEi0PoGQoYmS172VgPj8DtLyP gn8F/i5QsU2r1Rird3PdXWF0djJcQOkoKezwYm5uwItYaHqHjWfxAVPZyfdnSaQlzjPgOSCN paEliEpjvDdaf36m+fVoMO8qpkeDNPP5xtFr8tlnGqGhIF6Xln5Tmt/W8IOgIBJAQko8Q+Nc AiVMoj41E8V3f7cafjKOsKtxunWBVrJR+jXe62IKcNzKaoyWKMFJSipw6BT7cgQmm9AoRFJp 80P4jO4ZXYDVArMLTR/6WFNTS/saDHK7Avb7YJBsYe56/Lyahl7+pop27bcMHwB/D+wHvwNe QrCcA2VXLd9O86IrHecsOTrtiLRKbc+Xz6Wj1Rzlg0bB5r7r2Tczu/3ZQnjs+XqYRBFmKBl0 dVqj27XwTCbZ9FqtGj1A0WQaDoEPgaeBwvxL4H8FKstxoAHQUtsojsevsrQ57OogCTsYYhnn 09CmTsnQdGU9vNYWZeu9MIDSwXUnqRCbZ3li0CAovNuAcZoXkpuioQD8TI2CedoCVN5mIM82 qp8bhkLluOPaNQ4btOLoN4zL75j2Bp85vfXhtn78WnYbhJUJQkK6uMD9PFvpEm3J1rMzTdlk qpavd2fp80WKZI6QCRb11uVbWPxaZOP7yaVi/PxqOXcPS+Y66xneSpYVbi3fVli3NYlqCOoa s/RaubaWfeqrYQ+1IHqJWqh7R+1rK+tNaysy3+Qgvt9jnqWBDPSbpvvj4BEwDk7Qm/QfOfrM fWjfEjB9c8ABQM+dZ6VyOBvWBnzqVocPWHGkv1iPOvWWepKbzEYHn2VHOKpWgycwtJj6Inu1 Lxxn/PEPsBIzcTJ7jFV8H+Q1La/fPQ0OAOny52AX+Ag4D14C10O1bbmHsnAfHkppC2WKlCCo b/ZCXB8/wnQf0z9MvCMcNVKNIDH8fQbsAVaHVB6h1ZdOBs/lh8ojVA4UMj02aCn9LB28vh1c At67Ckz3PBgFKlj7td8cbn2Qabc7NBREZW0QFf9KkRafkiC6uylkl3fX82+21dK6ugTX+ohG kNhr8y31l5YjdrVfz308n2R7qa4sI5AMgiUy4hjQSn8FGWLArcrGU62MGdRp/KbrF7idUdhQ 0HTPDyfopRrCtX4g45eAwTQPgCfBtwBVlFRo3s/xd8CzwG5g35fZDvqZP+nt6LjVLes33lc0 /Bfn8iz9yCEQSctsNnn/RRyMHKHU2MsTWPN6F9NBWH28/PCm8BF8eLUoqFrYl4GCJT1GgNbd qtdFcAg0rLDfVwgR84RnsgX6DdaoamI8kkGWe/GNRBoZj/nZBzbSx8m14G8NxFlwAUgPeSZ9 5YEdHsJrGg0VwXdGgQpsmj2qtINARfZZv6siGOyssUpqHoxjD7htQaLd7qBVkugKvnVcGXqU Mdx+RjCqxVgLlxwdC/X3dsbZGSpGGFCM/0bwiECnQkjhgTM3FAWlmkW56IVJJ0My+BANMwX1 Mr+NH5blYECGtkkWBtZhTN1vE7I4pa7JEN+1+tP4zo108poN9PuAjPxdUAEPgf3gw+A3UC7m k4X7r0XgQUFgXDA96mrHCesqjKPUqYLUa0zSjRhVidbvqCS//lPoJOvGyt/EmepbmcqBvSj0 FkqUAYZO2P+6+7V6KO9HwQeI4ztApTU+hVIolMugEyh8BWA1yy/SnmmiCtNEb9g01r4+RKvL vjCFXF5IJ4XfeAwq1rWsXD9C4rR09P5fFSwBNC7SxXhNg/HYljO9xiHt/I5KIo1UdpXENGiw DoPbFiTo7Q4qiMRq3dOX7nfRgWn9m0wt6o3oosUFlBpxmWm6v1HL5EbwhCIxZZgwSOB5kLSX itRps9nWzupZnJpQE2NQcYMhMsWF7Rv5zVWnqRkQT0RVq6nEp3dyPxRblpeZ0WL8KAyTQFx/ ssE0GSezDH5XK6tiykiPfwSeAz53BLjc9d/Rw/VqlQVUVL2sWtnmsCTxXdsopikVOv643gOn KGygXG+uZpIiVZ94G5/ppgZ0KmTaSW+xSnfvGQqf5vnw1gPstvA09TbzfhCo4J4bPJLVtDRR IRBSZ0BnaWcgqcdV/updPEJydLyiQ+3yJTq1d0Meps1k30S3X6O6eZLHVRjzI7ifxmv+G2mX njcizQ/XDCqDpYnGRuWQR2PgCpgDptOSRyXxvjyQnpbUfcDgO8qGdL0t4bZ9+PtyKyFbK9Vw mHGANeYrvYBoKngHMOJf4WR9KapvQb7aS+ykWaun00G0NFpwhdjAfO24v4hr/7ZquA9p68BE sjdMssCiq6toyyyUTp/NdyfN9bX8XqZBMcViFeuqc+q11zPZdrx91I7xGyFIvbArYFuBAuj3 FADTpVVT0LXQXpOJChTWOK03M4iX/v4iv4/yxDbaIxRwqYD5vgK8oawbAmJD3sEH4mxbp21A g9ztHGp0O9QfCfW19ybR+GfisDLPfCy6qct9feE7Ty2HXxqANAh7GAJWX1Ll46hQmvb3AIWc uBLGYfJt85PFO2nCPUreEVYXLVZIR+3L4H4a/cfYguUKW3PRo8eGeBvdvJO8vwS0+gqyQSX5 y6A8Qc9UoBV8BV0jZWkgraS/tFI5TCOKn9LCZ54D54H3TbPf8vpeYPDZGxUwvXiz/zSYdLO/ 8/+I/5+Ff/Y9O7EhJCew3cxuTwlB3VjrE1EVsfcmNNG18whTTJ1lalDIxI0K3rIecq1lXOOw 2u5NRuemr1HT+pgMgfDZ8KsjIbrzE2UUi6WHYQ7hTxu5PSTmc/X1jg9gPXHtw/hAJm3wWj3w Owqe8OudwGs2+mW8n5HZ3n8KKEg+92lA6RT+DbARbpUr7cniaOM8ABXDBrzP0/+GPofmZxlX RLjoyA1VvMWX+qNMtTXKVYdDdvQT9Gr1xNHUlvGw/yeIQSWATuniLtNhevwmpUIK79OLFx4k P8S9ucDkxA8ySLqUD0cRyLr5YCS9NEWS8XVVKOFKrIu+DbwS7beNwfW0YW48xqvA9oJt17Cd IyVU+nsHR38r3BoVlcP3oHWqHMMcR4ElCMqZptXnVCjzf41HKV2lrSXKcWB8fu+2hBsF7JYm 4Bm62CeZWfSvwy+ElqawpaM5/A08pR/O1Bh8Y8cm1jb8MBa1g4r6BRYmrO4tRr9HJSk7n4n3 1etpV+8ECZ4FEtbQXwy57QxBr7Nf87lqPduFO45NdbwG5pLMFdogED2Kzz3NpKmvu2VB7gQy wzSRzfQOrcGI6j4mrNIuia7QT8ZnYxcOnSPeIaAQyDCrDQqVTPeaR2mocKogMlZmHwKWOlrN k9zUwcFHiE9v7fZeaZ3tzbKPTA8jzJBhrTm+cnNh4HczyU5G9RcRtoSFX9XVKFsdQZVwooBA J2tbaKO8jHyR/BJpSB7kG3cA0/US0Ep3A4XZ0ktfXofppgLr+yiR+zKh97VsOMqOVqeZ11Xr KIZDQwyakvcmpuJ3Mh8rv62WzDN9v2weFFCNAkYkrRJpVM2v+bYkvPFY5reWXroo/KZjCcir KvBdSwjvHQHSy+floefeN/iO198Hvgb6AUYjjZfDrQtm8LYFTZGBCX/FzmaWl+KhHMdRB6Cy bv7XuUUdOelDWitXy8lP072zxESm7DWNkEmiEZbLrZXXs6XwSFM5+1Fat+O0QxRQ8pjOAOZZ ihfW0G28kEyw6xOWbFML3nH4LKMfYe8vx+GV9Xwu83M81Eefq0oh07SMQ8AkfwTsBgrgRTAK BoH1aq+9Dd4DusAT4Cni+jZf9Z7CpDX0HpdTAdrL0XcHGaBLKvUrn8+Gvj+mmvUWXc+fSXB1 j/LoYucNnkFIE/cEoaQof4vfhiHwT8A/BIfBb4N5SoyWOM50RkmREq1pEt0mrTUEnl2FWSRW Dc/zXRYmowT1MNPS3pJ9ea2UWWCY6SBT6L2+j3gU5MtAgTe98kQBlwX+9lwY/C0GgO9ZUlgC KeiWJNLR+wZLG0sk82SQBiqidDBIJ+mlQToIpPNRMA6usZ+zWxBuq4Jcl27MeakadrW14h+q zlyltdTvrdm31wfHHo4QRjjDyrCqzYY3IrPBGI9G47GJXUQGeGGlM+ROM29Dops/6v6p4zkV JC40h9zhw6F47my8leus7Wim+6YZBiw+zGLAx1vCg6fK9dc343fOaorCjr6m3ZoKyn8L/jF4 HnwR0MxJ51F1cFTotXLz4HXwKWDQwr8EXgMy/mlgmhW2IvhZoIUcxUAYB+2lkYhJwt3MD/vt Ksv0GSE5QXYVOPPzIfAIUPieBP87ULD+JVAx/d4oFHqZ/FpFpZTN2tWNchRIbxXv73PEV3yT c7p6Y7aru1Kieru3UGg7s16trNMYor1XP0U8dwOt+TmAUqZBQb8xSHuDxxrYAnxGYf6r3vE5 09wIKpBGSGUzj9JB2jwHNCjm3bR4PgRuWTAxty1EyU9viEopm8t11BfwNpJhijeHsAoFtTC0 H6JZJmBV2rPJ66txbQs7XnYjhjLjRpgHdgWI+puoT2Uz5bZQyVuNMX8850H6D4Urw7ltcVL7 ZaI/UAuTk6xmfZKSZJzBc3qOSj+zHs5TkhVpM1B4OegcYi3bEPgfwHHwH8AE+L9Aw5od4Hw/ MGj5zoD3Ad/1ugriRjTNdEDU2PpNBREK+R+AzwNm0WZYvpu5moSrtCu2VFszf+epheSXjtG/ 9QE+leWZYUA6HdjMfYyJjDkWN/4Z134X7AL3ABXR/QWvkvVn2cQLh9alI1ASxWJWMVVIqlJ0 Z9dpoCfMAWtfztR7t1dry8fiXGlt247K29NTqZAPs01dC3GZfquyI0Bj8Z8KvdzsBmeBytFQ JnllfhvBc/Nj8Bnp2Qo+CSjt0vERlcigstjOugB2gCFwy0IjA7fsg3/xQ7+e/szXmscpId5Z WqYez+zU+/aEcfz0noam9JCGK6Uonl2ox3+vlNTvzNbS+VKmW6JrcbRYCuIC61/nm5kEWKyF j2F2d2DOfa7Ggqja2+M/t8HcqPYY1ygd4m9QJz8VhyudzD7fysD3ncyYPRKHJerppW0Uahdw P4XwYsxD+FWgAP5T8OtAoTkCGsFSQ4VWOYg7rVZgoVOmKzCEzAX6GE7U65k7+UHS0jYLVj2t PijUVLAi/FwlBbbumGCbktWF+Nd+FicNn0XBFZI8aTlFe+IKokbJUKRLtkgaMk9wz/BFYLxa +38EVOSXqSb+KeNJ/z35/QIk+ypHNgEqMUmR2dGhvgMH+QNJspOde/dN1WrZH70yEjI4tz7D jGaqZmlJ6bd3g3YgLaSpAt6Avw0q0z6gMqGc6XPySBgaR899p/G7cVRJxoBGx5JiLzgMyHfa xvId06CS3LLQ0OJb9sEbP/SLy0vhz1/8xbD2sZ+d+xdDL25eXIkmKQbe7G7JrE/Mh8O4ND9K CXKKcZESi6Zfbkui0ZWQbMG0yKhlcAfQ8kjEHurru8jQzLbW8K2ZWrZ5LUk640w8XUyyV/7w 914ura9VjyMsvXDkJZ7XUuGqp0IH2To9OdW3EB6EIT6GwwgsVkT8uVe49zGeWwf/GiyCKlAQ VAhLCkOjiqCQeG56ZLZVHmn8TeQBD0TtR9lYjnfLKpRVDPPhuYpOEZdB8BmaYWAzziyNIkII SYY06R+u/g7XtcwahAK/EZTKy+i/3/KbI0BD8QRQ4UyL94pAwZoCCu4Coo2y40E0tAzTaGed +RQGoeUitan76GCrlsu5S5Vy3XSPg91AJVHwpTnkv64cKklDwElrakTe5KiQe++vCpY0vmea DFuBSkEe02/6DWkujeWTymM+ND4aqvPglgSJcNvCUy/+S8rSZ6PPX/gifY25plo9s6USx8cn Z7IPVuqZY8y+2IyCjFNRXugLeV1cbV7LxL2IXBfeQgawpm7uUsQyHycTXW3Z1jH6T1urtXqu Ws/ROo1aUJB11lh1ryy2sXlljinw2UPwr4cGcSfvSHD6ABAmJDOTjb6JFWfxU7SH63y/SpEf y/D/CRhkqoKiwGG9U0FUGAwyXYGUqQhwqgAqbw8W+SyDhou50IMCZOgUWFWQp4HPKgwqHWvC IuLIYTUzrYXkwWfp6GJy5fSj2Vy5TPvkFdKIQEVY9gglSXrZ63yY65d413yokDPgGJiiBJjF +4oe3Nd+bqgAACAASURBVA0qYAa08O636RThUzFe7fOsUt5KZ8bqWBLNUKJEd/EYm5HiFAPD QlPPapL5OgAUZpX5+4VfmvQDhVyhNj0Gv2dQURpoKBMGKM236ZUPPeACsJQ3fuNpKIg0EhqU hpL4rRHwn1JCbv//D1qw2xKo45O7G/JXsRcpnGXk+a1qqCEAac/JOFReaYOdKMH9zFRaam2r 7tvfE+od7WFRH1pXFkPv9Fxmgqb4eq0Lx9fL1d0MMh4qZOtnWQvOysGmvnq2vVKoddOdm0zT W1WsZcaPRXmchNSKbhzKGB5ihnCTnjsZofhyLV7BQtXv5JrM/jqQMQaFWYyD9wEFE4FNg0ef awiGSvIGuKNSTqsFw7UwrgWnpEjfk8kqSTNQUNhfN26Pa9mVKOnj+soncoxy12Knm6Q9SROQ DH6lMjbM8+zqlArW25wbl0o3ChSc/Vu25d+cn403M3WfrmWHgmxTqSBJwnu/yznpW9rBrnD4 7y0S6dpeOr5eRCnfoqPrjpaW5PLqRs5UEksQld38WYo0gokhzjAAzK/ytBsozDc+x88bmZ2e pxnhukZa3ktXade4zulfCF63pJRW5veWhNumIC0pXf9CHhXSBTAItIanoFYHDe9t5SjpDbnK V9cy4ZHNbaFld3843VoMM8tNobfIQ23Zes/YAvuAzNTeA4nHtraGZydr9fuylTobyeBWOlln TOQyzE0Y/2ieiOJt78Tl+Z38pmesswzvYBITWxDWepjbl89XnmIWx5/RmFYgOoChoQheM51a NS2nxb/hCtgFZCRxpsxWARQcrbDB0sd4TgEVRaFeAn7b59hzPX8lSnoG62HsA5Q0ejxhDCQV fL/pMwq6StAHFBTToeBYqimY58Cnx4bar9IYR/nLNMhXsfwM0G+kTYE2zaYhi6870lAnj5l+ 2j1fpFdrjHbLprXVVNh5JKWBhsDS0TgMDSE2LTuA98yb3zdIM0sF7xtMn7TwPa/dGJfK0YhP Onx/8PlGPFc5N/3m+ZaE26Ygpe/lUeKY6X0ApmWoc8YwNIPs59iEKVrFIzXO3ePdLe1hx+Zi WLo0Hrbjp+oB/OPOHO4Ol2mtdjHm+ObKerzEvlL76suZPbhRjGsJA4pRlV7i6hbsJkROmL1b g6G4fwgFJrTP5UNmgQ13mENLwJvbelyrxtVq9Sg/B4GMNFjsN5inxVNYZdYBQNslDQqBAuT9 hiD4noKhIhm8ryBRQqUWuZXjKlC4bRtcpccKd0CT9yIDxFN7mYjYjyO1sDySxq1C+Q2VRaur 8Pr7mhDlvsvlz/H7x3Kh71vVMLSPrbb/I0LfEG5upe9c5niIwXjaVVm+my00ta6+U68lhUo5 h3tTu9Ot+V2Pfx/n5sfSXUWQBipBF7BtZhXJ+6bDfJku6SD8fQIQZ3rd6pPPmc6GMenl3Ot+ VFpLE3+/c+03h/Reo6Tx900Pt01BbsiZQvgo0BI9e00OK7/5hXrlb/1v0fJaoadSr5QKLbn6 hze1xsX+jjDORvZ4FGXqBpXliaXQm20LS1u2huzScnVzdQ0HbqwqYh8NnGHncdqwuZJjSSJW EkvlmnM3fF3jW5QP+EOvxhUZLWPZowpmbbgJVaBlRIM+MkyGCoVRobcKsRvcGEr8UCB8Rvje FaBFVUgUBuM1eG71yhLJZ/GcyrtJbTtWn6rgGlPy1y5xHWVJBVFhVDAbQufRtFMCXFcgTmsY l/D7DPR9oSk8eKGQ7cjWmp7rYP8VFdH0a7H9HobIfCe4UnL2fful+uqO/dVweYAZMc+jXNnW cH/bQvjDfTyj0PqeMI49wO8Og6lr57s4NujVoF1D2H3HtHvUkJhGn1FpLgLppKKpQMahMi8B 6fP9wWsah1sSGhm6JR/7Kz6ipdkGtEIKDSHKoBxxZ3foX16a/RTk2g4nd86XwurpCRw4MCF8 86Ywurk7rB/sD2NnxsL+lanQNVePlqJ85p2txeLZqZX1RxlhXKxl49W4Sjs9nQ7FMKMOF1Me ZbFYOerf2SH4rmArNArACDgKtGimSaY2QkNRZK6M9hnvK6wGBcJ4pKtMVChVJJ/rBOOgYckb cWkgfN8G9YDrP6jmfIUOgkGuHQTd4Ag4B54GPm/8HhuC2BBcLqXhNWbnjK8lf7ijqf7EO+XV dpRs6Tnu+E3fEYZF2mh7UA4GYnsWGMGHD/F4JQxhe/ILefo/eGYXMK9D4BRQuL8/DH3/hf+X v03PCoC9qbJ//2v7uaDiaFz6gAq0G8iXWxIk9O0ODeYqCNeEEQcNoW/PyjxtCkaUEZrNlThz YWqhuBJnm9cpDDKl8tQ2fG22/MwXwndGfifMjk6EAVz9nFmuJoeHq44au/qIBl3L/Cp7erJN AN2ZRNTMHrRdvcnlsUstjyCrMD/VC63VjUFrJ0O00A0FUVgaQeFUqRrWvyFwMtx7Riozfddq gnnT8hlH49kb4zMudryK6GbNfrm1tfB8vq26zNpxBaRBnx/l/OI1cEiFxji8rzKqiI2gy6Rn amHmSCn8+XmEvmHlfVY0LDuCVuHdFUbO288zBLWVaScMIKoQheps+OOHeda4h4GK4XsG86jQ ek8aKEfm2fyaP42AafPo9xq/fa6Rf2llfNuv3eeQKnCDLr6jcmg09wDfNR0zwGqqofHsxq+b 8NeP3u4gY6cBwuo0idyz0HCNpX93MrW7jTGxU2xQP88gXinKliejej7f0pqpLNeSpTWmx//C vwrb4Mwyyw/XoqZmPLcvHWuB6cVQiFpDYWTt4abxg99Zyl6KK3Xme+toMxq9lA4sXMU3MwxY 3sl3J8GNQabKSJneYIIMa0C6aVUVFAW/IZxeszrVECSFR+H3GYXpxtAQKK2ngnA/n2IWc+0P 1qvszbOhsrQnwgAwfXeAvwn+OVAQLXn9zj6gED0PNoJLyuotWObKRL0wO5JU3BUhtbyN9Jk/ 38W/Hs6748xaFAberIZvkc71IZIzXAnDrIhc+yHS5LdUhk1gL7BUbNDH72rNjd/nDNKrcd74 7X0h3Rr3jGMYaEiko/cbNOE0DcqFJYxKJA0ugVsafhAURII+A/aDQ8ilVpu5Q+zpnO7DlzAM EtE3H09mcmujsqazvZZdTpouxvVy//xU8sjCaphtKrDdQWXxPna6vbq3OQyNLcb3N9Wz5cWv zFTeIUKDkjq/qDHtA7jfpGuMkxaQhgIyWElXhDau/IWjjFVBPMpIhcNgY7KhIF5TKRrPKfgK QkMIOL0uID6n0ljCvBccBf+en2u0jlQoheYqeBU0qmcoUfgEuAJMu99VcM8Dn1F42WTINJRw UVp4b6g0tzOJ/o8YhjHNKshOICkMqmGOnr2rufCBObZ6RAAzWGgcKIWFT3LPtA2C04B710tU 5cbvK9SNIF3kpTD/5ttrwvybJ7+vwPue91VyYbp9zvT4/vcHaSFuefhBUBAJoxV6YyP30Vlo 9AjTPVg+mz/HwBoDdzXd6dSZpDWzp/zR+ff/5Nfzv/I/rpSO9OTGc7n6gbXW3Jubs7VCbj1p X2TS3fxq+BDzKV47n7QhCEZ9Y6ANzAf8s3Gg4kXw9w3KIfMawVsKV4P5XpduDWsn8xvB97Sy CFlaKioo3UAlbCiU8WkRve5zKth+oOBYx/cd41aIVKKTYAAYh/gR8MdgBPQBLavxqCCmUSFr LTQl+1lOghFpYxnAlsXV8OoVrhu32AR8fyevMH0+vFlJfutuZPZhro1DsyNQpId7VjVNryXI LsC1VDFMqyWQcXnftKrsHr0ufaSFR9NkqdoPFoHpbdDSeE2vtJCOplElMk6Dzxka39j4dQv/ moHbHRpEQDFsjCaPcoRxuR7WXX8VnwvzbEzYmyTF5pW1Q/me8IeZc1/8kXz0xTWkrJjpyq/N Vcdqr6/3Zg4UMswzgoFM4BqNmca1rXMqOzjP/O/N/13mx6d/wWWt4Rd/vxr948/SlRU5mdFP p9UPONHdkg/d7OhUYknKxFbSIfMbjOc0DTJKKAwKsfS7riAtrdSRVqOfYNDSuSGDRD/M/c1A wdLy3wMUBgVs9hp2cTTOV4DVOuPWWjbOta4vAhXA9FjSPAIGgSWUpYjpEC7KopUV9uAXGK+M tReQ02Pr4cq93CP+aB/58rsc046RhxkoGaaK1RqiS/8FveLkKZEHCG0yyjNCpb0KTLNpUoBN 039OkKaN/DVKSEuiG4PPNGTC69KmoYj+vqXhB0FBzLBEwHJpXbIwvX6IYv+uWpi7px7mqR93 d7rGKNTK+54Pj3XlRidwdPKZKiPn7v+9+ntt/yLzU9P/vFJowkV0UxjEXcmp0bX4/SsrTLso dC5/fubfxz+dObjWFm1d+F/+blfp55MvL/1Ktpc1FtWmbPi/27u3GL2u6z7g33B4H5K6kBRv IjkUJeouRbZsKbXlS90krWw0TZCmbYoCbQM0D00L1H0q0D70oQiaAkXQhwLpQ5uifWmR1mkf FMeGLdWyZUWSLetCiaIozvBOiRIpiqJ4mVv/v8NvEUefhuSQ4nCGzizgP3ufffZl7bX/a+19 vvkuA+/nZ0PyMtOjeXFs4tSZfPNnHIQ+BYvVRi4bCZkaUlq8RkbPLM/76pf8m3zN0OMcLYUi 8uoAKf5pgFi/H7wf7A/sEMZRjnxEO31rIwpLdwU/CzjjniAO3Ow8B5Im8neeCvTD5zncQ2Nj fnn67B35zG4caHxryrIbTCTwNMexB5M+FizOWxT2Rdc8meW7uzsTw5lpHGjiSO6J9HsDY3CK ttCvTeL2vcnyjW7dNo5tUHLeft2Cy+m3+pi2dLY4SBklizSWhez8rL+z4uZ8Bvv+vNUqpJiX fcA/D08sz9tQ+kaWnskPBAydXTp/ZMW6jZ0TPx78V59Z/2cL9ufHOl8O2//GvtHO/SP5FOGp +fmmnGW39I+8O29kQb5OLg/7y08cWzD/P8y7/c4sb445o/nty5UJ15sGP+gMI+KZkc7h5UlF aw5bJEVU0RuJ5R0jkJX9HBsaGR8fWbGgc9eL453X/ZLU3pAV0R4J/lawNnCNbLsD/WmPPPJs gCxFGBFWufEQ8keBnUh91+sDfcnTE+lWBI8HS9N1vuZ0ST52uOh0/kPunK+OXYDQheMuHhsf yyteR/PdGOOv55ozcEbO4eijf0dDY5IiOr0uR2p9tam+qn37Xt1vlwki5lhH1Gp3TdLZ4iDn Jzu/syFHnAN5SBz1EJ0fz/FP8ixkZyyLe9euif68wWTJkrEVfTu3rh4YO7ticWfg0JHOX56/ cPzokfEVz84/+9GOhfPyn6+xhcsmVnzmtf5Nj52Z/+Hhib4zQ32j4yeWjnXeWZnP7d0RvsTg owm0CzEw21Nfnu/zQ02dd9fkmOKokvdNNkcdC9omRjkIwoHdoJG++ae3nT778kN9ffPy0839 z+W/90O5gbQWl3P99yBHneZMX4uObMidnbMhgusiEScxRgjf/KPt2aTEfWS/NXgmoMPm4DeD h4M400TeFtyXL/3uz9vn13z3HOcXDMbn8iww9mupY9d6Ici30I/55asDcVE7xnDAOejbJmrZ IMXTKsZsjxV9G7vQ7ZrLrHOQ0fxKGSuMdo7ls9w+P700b08/OZhfEDve3//s7ctvONs3MDY+ /5abRk8ntCw6dLCzMt+HszBfG/1h//jZO27KISPnpr5DI4mwb7/waOftHy/PIXdt3pO4JC+k JJvPGOVLobMGWYiBfFDq1pAzO9LEmbxqNpqXNsfX9/f3vRVuLIyDIAkiWzCRXQrKBwJlyN3I yNl5987rLHwk/3ycNz4xlig89tnccMxC3p3BG4GdB/GbeSbVXt7OVf1LEUX/IiinjP7Ne6je SWp87ZRzjm8Evx4MBoiUHcO3wHyUwNJ/PO8v+4109fK58omvJz0ccA5OdijzHEoamzTPRZ5p 9NsW+lxrMX/imc2OnbVr7FF2y+X0y6xzkMd/c7TzxP808Q+P3nDz/BeOHz3zaHjjZ20PLV3w 4eO33ZS3lSzrHDn2YX5e6YPOtv4lncWLF+SD5ONj+xedGt12Nl/4sCjbzcm+03dlp9ic54oQ HMeXbQ8vTyUY50iUHw3onNoUDiaKvv5A+JAj0fjA6EQ+mt45u3N0dMLRQuQuQVQirbydAZmQ tZH8zyaO0JcHfdw9eyB/7g1uDizwEwFCcoRaZOPcETweID5nKDJWSnnlHESZ3YhTGJcO3ww2 Bvp1hHP/lsx5Q2rvytd+/d68sVODEyPjj2XYL6uTo99LST8I6Mhp9wX6pCdi1tjJNlJkreur kdYY+q7+2bZ9be4CyrsBqXrnrq7B31rsazDU1Ib4g/+BXLFE3nf9zX83emDJ8rNP9/Wd2ZdP 2fUtPzPvyfff66x872y+gT27wo0DnWMbV3eezP8NdpzMtw30TywYXT22/Hunwvf8oGEcYSyE Gd8RhATjIedIHOLE0tj7l8LVRPejD2ev2ZLvab4x3zp6cv6ikzvmLxjJsw6P8ppX4wwWxULV giI3MiZKN6/u1KItzcksBJuXM/3Ej9J6qFsn4zWfbX8+qXaCkv4ccTYHvxNwEs89FbmNVbBG CwJOov1dwYZA3XsyzueTLkt6Ju8P8ezDWR7Mh7Pe7JtY83I2zg/yP6T1uf+NfD5kZ/Bc7nNG OxpHkXIshjc386k5tfMpvqqib+OxhbmTGr94eVPKVgVvuhkpvc5dXYO/s24H2RZa/It/39CT sUTDQ8FdH3ZG7zkz0b990fvz/6Svb/SBO2/tHF20vHP6eN7m/vbbS176IL9hePPCswMfnunc lg9O5GO0zT/DDqZtovTY8/GXzck78gwE5i0qvZklsQtk+x47lM+iIG2I2PybxGKoV4tiR7HN 08uugKy1cMkuCXH9Bqf3HI77NCBCOz+r/0ogYnMWc0L+7Fydvxv8QmCc14Mcy5qImeS8GB9h tPlicGfwvwMk/1o+5755bGz+TfPm5fPz8/wc3II9ExPLfphfRxiOD24dO3nyD0fPvcjxf3OU MlfOsC/YE7CtXc0Y+i9p56tsulJz5/D3BJx+b3A4IIIQ3c5FTSXXWCg36yTvQWqLo0U+x9HZ kTA6vqkz8OyeE8cHPtzbGb9tTeedHfv7Nhw9O7FuTd6pm68O2ju8YOQvfZj3XeVLCnK6aj4I 9WraIzLCfj9A7M2BqOWIkuNIQ9CtSV8IjgZ1nEm2iXBILtJxEiTjIOsSlbdnp+vKqMidD10t eD3vArDQyGzROeRg8NWArAuM/1A37wiBsN8JtHMt1bNxOQfHpOuvBMMBPX89ODI2tvi/5acS Do6PHftqXpiIiW56Mi9uLMt7qj4bs+WtK+Pb05XjE7CssTjGewFnrRlwispXmqJpFXOjg/Vh /xuDbQHhJHYPDj1jMisd5D/924/ZQ9SNIfuGFnX686VwH23LWyc+Onh84cGbz4zkd28G9qya f+LBsHxFfnRvUT5Duqo/rw9nqfPWiSby7E57xLYQQ8HGIM8iDfmc40cCW7lob5FEVMQs2yCO hSTI656Fm0j0PuhN9F3ZnFfebs/xKuQb4wQW2riObPd1r7U1DueUFyGPB/8xQAjOpNx47ZS+ fydYH/xecGfwpeBQX59XoE5Fr4ntnb58+rBzZGu+D2x5/7zRfAPY+PHoxxHKMYzh+qPA3In5 EU7RdpKmcBr/1FhSuuQo3AibKBOkNgdPBTMmRYIZU6A7MIOU9EYvOi7LByV2H8sbi7IvIFui +OkbXj/dd3igc+qX870ld+4P0U7EzvngbiKO54/GOX56rm5D/CpDvh8FW7r37AiIicz3BisD pKZTIdnzpHX/wWDn+vWdo/kN9ea/c/P6lm/IP9zyI55n18Zx/DqWz4sPpR6n4jCcUH9SuwF9 Xgn+a/BiQAf3yxmTbZyEc3w2+EbwBwGy/+uAvvlfy0g0yIfCRN+8HSBpvtAlPxYUb02q7cEg 5mmOlI6QAgIxFqlUvtf2yqZLaiwpHUBegCKCFX3t6DMms8VByliTGaI/hQjlHLopFZ9JujrY ljPUvR/0jdwd2zo+5PPnzdEEuZFve75m67UznXzJw7ndQPRM3fNbtjFFLjuLI4xrY3w50J8F QzywT4jo6m8JHg1+P87R7B/z+xfnCx76c5yaGEr5Tg6S/yvkfznNc4f+HcnuCh4J3grUGw6+ Fxjb0aLpK6lxSZo3BBlM+rvB0wHH/keBOe0ODgRvBHYEZexEz5jmfHv28PxDD31W/8meF+Wz RdibPtsCR68Z1W02OIitVORGknWBhUQEi09ERYRFoBuCnwW14KfzL4/hWDDfa+UHdyY4AbJo Oxzn2JhU/0cCxxIO8E5AFgS9ZNH23e69JI1zqANFsH/QzXPURvLe8odTNQTtfyk+dCxfMXEs 73HKc0Ez7olUovuzgei4JXgqeC6gm3nXOiCDuhzxZMCpOMdrwR8Hfz+wm3AOu8JwQF9OZrcw Jw6iH6l+7BjypOZy7upcvRklYCnSSul6SyAwOg7OqFBiusWiLAwsnnRxsCbYFtwWiOpIgxCI wgk2BxYWodQRBZGAswwHBCH25MdyfIv77gTMfGV/s3Mwqn70uyxAOES0q3CcElGdw+hH1CLq sokxjU3nuofoDwS/HfxR8IOgM7Bg3cZ8bPefxEGj/8jBcDG/1d7ZAaHpvlThkMaGV4KVwe8E DwbmrNzc6CIte30t+X8YcI6nAtcbgkNBxmmi646k9EcqbTmxtGA+HECfhWvlEMa7lJQu0tJT mwScxi5vuZhJqch1OTqYeE2st93yFCwK9NsfIOaqQLkyhJMiGyKL7LsDJEEWcn8wGKwNRFD1 REmkfTtAgpsChPow3+CuHX2QUTR2zHCtrp3HWIiCNATh3VdWkdV1zYtj1LWyKjeX3wro+0dB IydHjv1quvHu3ZB2jJ55mTXHqHz1Z944efZs/iFTVZPS5w8DpP+N4J8FSPDngV2RQ5uneQsU Pw3Y5gsBXdXlcOZmvuZWOiZ7fiz5ttR8Spf2vcvNG+9iUvZSh60JW08m7uMErlgfO97qwPPY K8GMy5U4CCOb0PrAgprgwi7sDuUcNenDKTsQIDRy2xkYAiZbMOQR3bVDChESeTYGQwFh2CK8 a4ui7tEuknxCamGNyYml7T5KF4vJ6YyhjZQOcYTm2eOfJ0V08ouZ1ueS5ttSGuLuTX4o4NTl HDUu/Yx3LHgy2BmkffNc8ktJOSD7sZP2HIBzLA3sGoIJmyhTh3OU0N040gvJxe5dqE1v+WRj TKVfQWttgC/6MAeBqLiyPHnBxfwGA/OzlmzPbjMmV+IgtvmvByZjUhyBWPjdgYkjAge42OQY CkrkGRtB9wfG0adxEFo5ohKG039J9VOLVX2pR9rldNKfOpyVVH352nXWJ4+o2j4U/Hbww+A/ B2Rz8NcDEd2Rh85vBYIBByP6rb6lxJgcnh7qvRysDm4KBBpr4t6NQRFlT/J0AQEJ4dQh1f+5 q8n/1thlh6o1lbZVV6q9NtWOrhybPeklxQe6qeMaFziAusUJ/ajzUYAv1sncBYNVwU8CUnM8 dzUDfyl9OaL+XwkQATFEgr1BrzAOKYKeu7rwXwarxdNmdzAYMK6+kJWjlDEZHsnaor22mwP1 RWCYTGrhkFX/2pbO8ogr5ZBfCL4Z0OVfBhz1nuBvB4sD898V0PlQILK3F7a3b9eIwnb6V9/u gPQIgmiIc3NAhgJHKs5CB/VuCHpFvxeS0sEc27rVnC/UbrJyfbHfukB7cwE2s0NsCgSZDYHA wT5Sc5pMx3Koo7nPOQhuzQq5XAd5OFqb8JNd7RFFdLDIFzL2ZEbpNp80QXIG16e2IqvFEJmR BCndPxOQWvS1yX8+sKuJtK4tFEcq3UoXJCyiuKe87iXbLND9Sf9e8KuBe78b7Ax+JRAkkIQt lL0RcA76Vb/JNuP29t0ej4OYB33pZD0QRj+DAWcQjDhGibmzQc2pyqW9ZTUWnWp+xkBkdild jUmqTqXnSj/5l877u8UCRvXP3vS1G9j91TGXEvqUTlLt6KK+4PfV4M1g1ghjTVVErXXBD1sN ROjNwautMtkywqUM3dOsaVeLJqquDFwjowhESmdEMQ4Qzro1oIsIdFeg3WTCCS8k+udkS4Pf Cjjqfwks9D8OzFfZcDAUWNDDAbK351s2SPF56S2ra3MBQjdz1p/gg4Ck6rp2rGmTuu6V7dRv y0AurB/9zGt9YFdCSuMgc1v0N5lUuX7aTqu8dDAP62ZHYbP2vVw2Oiijq7mqSx4LzOu6c5Ca OMIxKvKUlBFWpUC5CTNemyi5nLJoZzzC0K6dxUVXpCeI4bqIU6SwGBbNjoPk7Tq5bKTmom2N 0711Pqn+/ldK1gT60vc3Agu4K6CLY8NwcCjgvNrp80L95tbH7FK6KJ+sTfXVe4/uNZa2bXvT jzMAvdVjr5GAPeXtHI4zHEXfywIO4571NDcB4EJS+lTarqeMPmwvJe16lacX518b2A2Nz1G/ FdS6JjvzwohTFdsgw9XEK9IxtijAQcoAVSdFVyzO6BsDfTpq6NOYFlQ0RALC2MZH0pcDBldn b2DLL9FPW692vreOuoj0RMBBNwQHAotqt9gXvBeYu3H1VXNP9mPjuJ5MJmujj+rH2tgBEbst yOce0pcICrcGg4FyfWj7k+BIoMyxqC3tXeO+3EBMcxMU9KUPbZSVDvqZzG4pbkSbui9P6rry yjmjceQ5CR1/Gsw6uRwHsTBlqJq8CTFArxGUX6noS/8IKsrtD5D0oYDYxSzuI4G6IjjnfCu4 JUBeTlO6JtvUa+ts3uqQGk/azrtnRxoKOIf2HJVDGMM9Y1Sb6t/1VOVidRHc/ItAFVmNQ3dt BYbbAmSzyz0TCGKIzD73BE8GdBVcarzqQ6qMTfVpBzFXBDa3TcGXArulgFDOUnNN0cek3T99 SmqcGpe+xrBzWOdZ6RzRq4lE0otJTRqpGLqkypVZPAvavl/1Pk3KKS3aU4EF2hx4DrJDDAWc VuVN1gAAEFRJREFUooxvV0EWejG6thbBzsehoEhCT/dKai6u23lE43zlbMYFOhFjF7ST/zTS HtvzwfPBzYEdQiCwI7I1Mt8ZsLk5PRe8E7Tl2Vwg9y8H3w84trraLg9uDd4MzJFNFwf6b+80 u3LtPlsKVGxWNkz2E0J/Tq2eEwCp9ZEam6wO7g043J8Hs1ZMdipSk2SstihHFuWiWXuBc/mp Rf9IULIvmVpAC9HWf32u7TSfDzYG2iK2+nYWxLZAoteG4FK6ag/amB+IiqVP3ZdOhyAlZ0BS ERyJEa/mY25PB98Nep0jRY38IH8Fiy8G7V2znOTRlP9i4KgoAH05+ErAIUv2JCOgCED0uZSw B9uqW3ltyjnuS97uZk7/L5jVwmiXkpqkCVq0EuWEMcDiXQ3Rr7FEfiQwJlIQ9xBdBHTPQykH RVpzGerCMaN2MxGY0yDYocC9U0Hpn+zHRLn5kN450YtTVtuqpy7pvT5Xenl/q2/zMa+BwFw5 qCOe+UrNteaY7AWFk9hFvhb8OOAw5vVmYD4CmzHsWLsCQeZzgR3lpWBPYA28EGNXuNQc6UR3 fRqrLV/MxQPB8120783K/FQcpBS3cL31y1iiBWN/Wily6EfURwqEtHjEOPsDi6DM+Ei0Iahz 7avJF3FuS/7uABlESM5i50Gwj4JLCWK0dZJXZtx2eS6vmpRN2fPW4GhgTEQ2Jkdnk88Enh1E 4kvJ06nwleDLwd4A2aXs4ljFhuxi5+CAbwRsvTq4NzAm+zkSuU8PKF2TbUSZNWN/+pYzWhvO YRf6drA7uC6kl/AXU5ox2vV7jVPXkxnuYv227+nD4hPGtBi9/R5I2drADrMpOBOoK/KJjBzL 4pfDDCdv8YmFHw0QgZ6TSY0nnawOAkxWPllfV1JWNtjZGsd4mwM7H5v8SSDCPxZ8PzgSXEy0 +9MA4bcE2jrq2I23B2wIxwI2ZB87AOe0474UDAbaGZ8+ZafKt1NBbDC4I9gS3BZw5CeCCnbJ zn5pE/5S2jJykbeXPIxzNUQ/IicR5RjT+br6N77o9JNAhLIAjg0VRUXCWgCLvz5wDBOxDgWE YyG5hZ5MjNU7v3a90qVdNh35GkfKJqL3uuCF7rV5vhU4snwvmIpwpHImu9O24K8FCM1GbMK+ 73aR5LxwFI5jx7G7lH7lKLVuytmc7emmX44haF13cjkOwkAitTaicNtAiNu+zuWkok4ZtCq0 y8rIiOBYAaJaEVZqLARHeDuDiOfh2fUXunnPKHYZfe8KNgQWFzlWBBbQfCaT0k9qntdayh7S ttCXPdjowcARUdCq3THZKYl+gVMAR9kYfC1A/j0BRymUDRyX2LSk7FTXUvrdH2wNDgTfCjg2 MeZkbZqbs/XPVBykJrUzk3g8ENlNusqT/YQwxoWkDFXtK636iHx3IErt66ZJPuGA+rEbcBiC /Hu6OJ4UkTi0XUU/wLEcxcyBU2nbO36KzgtytO8bs79bJj8dUuNVagx6cmwklSK0udKv5p/s lES/7b7LURyfBKbbAwHGDmU8O4q1MJZxOcnRQDknNb76nEN7db8d9Aag9pi5fX3IVBykZnIm GYZhoIoKJi2CIerbQUnbGO183TeuBUE2BNYemfW1unv9ctLqExl7+3Fd0S3ZZmEq6nEODmGn 4BADgcXWD+eoeU/Wb5VVmurnRb+crGSyOnXvaqZIeHPA7ojrCDQcOCK9F1wNETCGutDfLYFj knWyPsTcrY95K6v5swu8E7zYzSe5/qWIMtWZbE/FrwS7AgtFkJCxRJMyWLKNlCE5AfLbHTYF 6nM4948FewMkEJVeCcihoCJk2znaY8hDiXr6KeEkRWo6WGD1RbkLSY0lrXy7rv5rzMnut+te jbyx2OFg8Ejw3eDPgl8IBJWngukQZIeLibWnWztoXKz+dXfvch1E5LJ1WqjvBwiC+GVIxF/W LUNIxwFRyPYrQmm7O+BMrgcDker5oHaLZD8mCF7SJn+VFVnrulJ1ndE5c1s49spuwWQE159y aW/fdV3pZO27XV+1xBjm8lYgmv/NgK3Y9EdB2z65vKpS85ysU3qxL2nXuxY2OTfqNfh7uQ5C JY7xleDxQJRHNulgwFnsEhaUE9gdng2Q0kKKNG0DMqxI+FCwt3VPHfe00Rfog1MR16S3r95I 1l64qs+JOW9b1Ovty3Xp3K5r7NKvXT7debq8EngIdmz8ViB6T6e0bXKxcaZa72J9zMp7ngEu VyzU7uD24L7AGbgI5xnlxcBRTB2Ow1Es5GTHGhFoR/DZ4IHADsXYdh7RksOBrdyDILhfjsI5 OY6jGdkQ6KN3rLajcBD9vR/0SjmlMdS5N+B0nl+IgEI3jj/dpGjrnOEaWZu/bEw4yeEmN/dn 2ixwJTtIKfOnySBRbbNVfiXpqjTyvOC5xMK/FvQKYrrHKRzbEKUiKOK4h1RbAg7DOcuR2mTm PEgvOMi378nr34OovunERhxlf8AZtbGLSI3Xbp/LqyrlJIISuSF4M+CgjwV0OhLMyTRZ4NM4 iMUr56hjBzUvlzCeWejhTH1nsDcg+iwxligOdgC7inZ2DKR5JxBN6WM3s/sMBpygdjFOgdSI rxwqrz8O6Hh4Ing74Kx2P8Jh1gUIqVz/nKUInOynkuqnbFfX5RhsQb+BwNjma57K5hwkRpgu +TQOUotJt1rIK9ETUR2LDgRDwfsBglT/8vqXgt0BENkuop6douojMEfSj/mtCew4yo4H6gGH VHdjcF+wMxCdOQ1HIuX4SMgROaV7dk4OciViDoQOlXddeXOtuXACY9bYO5LntGxmpzOHOZlG C3waB7kaalngrwfDwYtBCbIUgSp1r/JSRK0Ir36RudqWIw3lHuEooJ4o7NnJ/JHvqWAwQDxO ow4xDnG9J7gt4BhXSszSLV00ov8aQ4FxHBfppdxuCYeD3UEd/8yN81ypHmk6J1OxwEw7iOi4 KTgW3B+I+vsCUZQgSZusRSZHDWSrY45yUFbSm3dsAmMOBnVfu20Bx+Asjmk1TrJNPfoY03ju O9pcTPQ9WR/tMu05JKd1xHMP6FFHv0Pdaza6JTC2o6Kdk81WBXMyjRawQDMpyPByIKLfFyCK CGp3OBkUaYpYjjaiuGcFkfWeQBStY4d2Vbccq8jqWt6YUkA2zxdSzolwiKefqpNs0+ftSTkI Z+FkSKpOr1SZtHSRGr92hHXJbwzMA+kd/czBsZEeUsFLHa/cvRuoxyYc6tGAnnaSvcGcTJMF ZtpBTMvC2zV2BzcHHARRRc3TAaI5TijfEHhARQok4jCIqi6ymQ8SIg4iE8QkRdYirnFF6s3d e+5ri4wcRDt9KOdE+qeH3cPzjPH1BUSqjfoF1zcG9FwZrA/0w9H2B8bSD6c1NmfnABxInQOB cruX9p8L6PaDgG6bg7e6+SRzcrUtUIt7tfv9NP0h00OBKI0YQwEiI5PnBgSjN4cZDF4NkIQM BgjFsZBUlEU0gqxtQTCE3Bog/pFuylmNR+iAsHY2Y4jyZTOpMYh8OaS8NvqWl3JcjmwOJXYI pHePbq45tnqrAk6pnA3ssNqaqzr3BnbPPcFzwZxMkwUs4GwVxHgkQOAdAUe5M9gbID3iqYNk ovpw8FpAOJF7nAX5jwcedNskzmVDcI52Q4CgUjuUemwjWpMjgeNNiXvAQcpJapfhXBzUfSmn LrklGbrq37EO1DO2wKCPcnD9uG/u+iGbAsHjVPB6wJnnZBotYHFmo4icReZf6+afTorszuSI czBwNCGOLpuDjcGuAHmQiDjicBZRGdFF6CIwcovgSMvhRGdlxpdyCmMRY6unPmcrHRF6Q0BE eeXG1s64dGNn145m+uUMyuxQ1dazBxhT/+oRu8eWwI6h7KWgdkx9VL1k5+RqW4CBZ7uIrl8N HJdeCBBQpEc8hBbx7RCE89wXDAZvBgeCQwFB8DsDhHolQHT5csRkJxUkBo5m7JsCDsjROMDm QB+cjz6cSF07wIng7aDam4v7dj3iXjm6XbFEHWNpd183/U5S/ddukuycTLcFrgcHYQOE+VIg uj4T1M6hXAQWnUVtDkHM64HAkYZjIe+e4LHgaLA/KKfqtUFFZC8YcEQ7hP61QVBOWI7GEZQb G6GJseip3tpAH3Yn/RA6atNLdLpyYv2o63jHae4P9gYcfk6usQV6yXGNh7+s4ZDmkcBRyYNp OUOyjQMhNIIhM0KJ4GQw8KqQaD0/cJ8TOLrYfTgMO5RjIKoIzxngYICspOotTX5bwBk4hz4Q +67AWPoyDrivnn5Kqh9jcTL9G0s7zsWpydbADvJ/XMzJtbeAhbreRPQWVYeD7QECcg5zcaRB 7tUBojnLS8mm4NbgGRcRjia6cxREduTSh+cEfUqVK4M6ig10y7W7O0Bwjuk+J3wv4JzGlS/h nMC57CzELmYnMY7x2qL/vxr8JNjXvjGXv3YWsPDXoyD3I4HIOxzYTURuREJuRxrPCmsCRBWR pYOBYwviOqaJ+ohY5GcP5XWdbCPqLe9iU9KFgf72dFPOJfrru3aiZM+/MibPGTmXdocCY9Su kex5R9QezM8cvh3MyQxZ4Hp1kDLX7ck46ojAiCcibw9KzG91YIfhOBxqsJs/nBTq+JTsx8TO gNCEA3AKjjIUGO9CYgdbEnAAjgqEU9BRH+WA9INyKqnrBwO70xOBOc3JDFnAYvw8yF2ZhGML h3kj+HFQzyDJNoLsIrIdAvk3BIsCBNwdIOeKoGwiunMehOZc7wZtUY8z6BPh1VPfuHXtyGf3 Kqm+67rSchCO+HCwMfhuMOccMcJMyoUWbCZ1upyxS38EQ1DE+lLwfvBqcDCooxTSlngWsCM4 Nq0K7DD64ghVz3GJk+jXPeR1r51Xx65AykE4RfWhXDtCR9C+HKLSFDVHsIeT2n2+E9TY7b5S PCfX0gIW6+dNEHVL8EDgwXc4eCsg7pFe0nkOYQtHp7YTqN8mcS6belKivl2jV9p2befV01+7 zzW5tptxbrvND4Ne/VI0JzNhgd7FmwkdpnNMZ3nE80rRm8GeoMTcoZewdX+qaTmdfqq/3rZt h1D/hmBrN9XGc8qOYCiYk1lkAYvz8y6OU/cGXuL1fPBicCQo0l7KBkX6StP0E1J9VJ8qtPOO c56B6LAlsPM4BjqO7e/mk8zJbLNALexs0+tq6dMmtbdt3BbcHnjg3hn4v0URuWzRbpPbF5Sq X+0rrQZeAPAA7/lmU+D/H/4xuTfw7OKfiyVTHbPqz6XXyAK1yNdouFkxjIfg+wPRnIN41ate oarjUorOO448KRL32oxjlHN4IPc8sSrwAgAHsUuUM9o5qm6yczLbLdC72LNd36upnyOPZ5SV gWj+WnAsKGGbsk8vqdvXjnD+1zIY2CU4GUfwCtquYO6BO0a4XqUIcL3qfzX09iqSB2YpUr8e iPptJ8jlebFLeKh2ZNsSrAu8COB/FrAnOBXMyc+BBf6iO4hoXxHes8LdgaOXB+f3Ai/hchR2 Utdu4djkCKWcQx0IOBSUqOv+hZys6s2ls9wCf9EdZLLl4SheGvbfdg/aowEngnr1yTMLh7Bz zMmcBeYsMGeBOQvMWWDOAnMWmLPAnAXmLDB1C/x/Ifx30R2UxOcAAAAASUVORK5CYII= ", extent={{-100.0,-100.0},{100.0,100.0}})}), Diagram(coordinateSystem(extent={{-148.5,-150.0},{148.5,150.0}}, preserveAspectRatio=true, initialScale=0.1, grid={5,5}))); Modelica.Mechanics.Translational.Sources.Force f annotation(Placement(visible=true, transformation(origin={-50.0,0.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=0))); Modelica.Mechanics.Translational.Interfaces.Flange_b flange_b1 annotation(Placement(visible=true, transformation(origin={148.4826,0.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=0), iconTransformation(origin={0.0,110.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=0))); Modelica.Blocks.Interfaces.RealInput a annotation(Placement(visible=true, transformation(origin={-120.0,0.0}, extent={{-20.0,-20.0},{20.0,20.0}}, rotation=0), iconTransformation(origin={-120.0,0.0}, extent={{-20.0,-20.0},{20.0,20.0}}, rotation=-360))); Modelica.Mechanics.Translational.Components.Mass mass(stateSelect=StateSelect.always) annotation(Placement(visible=true, transformation(origin={25.0,0.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=0))); Modelica.Mechanics.Translational.Interfaces.Flange_a flange_a1 annotation(Placement(visible=true, transformation(origin={-148.4826,50.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=0), iconTransformation(origin={0.0,-110.0}, extent={{-10.0,-10.0},{10.0,10.0}}, rotation=0))); equation connect(mass.flange_a,flange_a1) annotation(Line(visible=true, origin={-35.8706,25.0}, points={{50.8706,-25.0},{35.8706,-25.0},{35.8706,25.0},{-112.6119,25.0}}, color={0,127,0})); connect(mass.flange_b,flange_b1) annotation(Line(visible=true, origin={91.7413,0.0}, points={{-56.7413,0.0},{56.7413,0.0}}, color={0,127,0})); connect(f.flange,mass.flange_a) annotation(Line(visible=true, origin={-12.5,0.0}, points={{-27.5,0.0},{27.5,-0.0}}, color={0,127,0})); connect(f.f,a) annotation(Line(visible=true, origin={-91.0,0.0}, points={{29.0,-0.0},{-29.0,0.0}}, color={0,0,127})); end Engine; end Components; annotation(__Wolfram(openClass=ActiveDamping.ExampleModel, useDocumentationTemplate=false), preferredView="info", Documentation(info="
More Examples Introductory Videos Documentation Contact Us
 

Active Damping: Control Diesel Engine Vibrations

In order to get the full experience of this example, you need the following:

 

These pages show an overview of the example. For the full example, open the accompanying notebook ActiveDamping.nb in Mathematica.

 

Package Overview

This package contains a model of a mechanical active damping system.

\"Show\"\"Hide\"Terms and Conditions of Use

This domain example is an informational resource made freely available by Wolfram Research.

Use of This Example

License

All content in this bundle is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. By accessing the content or using it in any way, you accept and agree to be bound by the terms of this license. If you do not agree to these Terms of Use, you may not use this content. Wolfram Research reserves the right to change, modify, add to, or remove portions of these Terms of Use at any time without notice. Please refer back to www.wolfram.com for the latest Terms of Use.

A summary of the licensing terms can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0

The full legal code can be found at:
http://creativecommons.org/licenses/by-nc-sa/3.0/legalcode

 
", revisions=""), Icon(coordinateSystem(extent={{-100.0,-100.0},{100.0,100.0}}, preserveAspectRatio=true, initialScale=0.1, grid={10,10}), graphics={Text(visible=true, origin={0.0,21.0}, lineColor={255,0,0}, extent={{-120.0,73.0},{120.0,132.0}}, textString="%name", fontName="Arial"),Rectangle(visible=true, lineColor={111,0,0}, fillColor={255,0,0}, fillPattern=FillPattern.HorizontalCylinder, lineThickness=4, extent={{-90.0,-90.0},{90.0,90.0}}, radius=25),Text(visible=true, origin={12.0,20.8333}, fillColor={255,255,255}, fillPattern=FillPattern.Solid, extent={{-102.0,-70.8333},{78.0,29.1667}}, textString="Ex", fontName="Arial")})); end ActiveDamping;