Course Overview
Several projects within the H3Africa consortium are conducting Genome Wide Association Studies on different traits and phenotypes. H3ABioNet has run several workshops on the analysis of GWAS data, however, much of the focus has been on the quality control and running of the association analysis. H3ABioNet would therefore like to run a Post-GWAS course using the mixed-model learning approach used to provide the IBT and IntBT courses. If you are unfamiliar with the course model please have a look at the details for previously run courses here: https://h3abionet.org/index.php/training/ibt and https://h3abionet.org/index.php/training/int-bt. As with previous iterations of the IBT and IntBT courses, a call will go out with the requirements for institutions to host a classroom, followed by a call for participants to enrol to be part of a specific classroom. Classroom applications are currently open!
Several projects within the H3Africa consortium are conducting Genome Wide Association Studies on different traits and phenotypes. H3ABioNet has run several workshops on the analysis of GWAS data, however, much of the focus has been on the quality control and running of the association analysis. H3ABioNet would therefore like to run a Post-GWAS course using the mixed-model learning approach used to provide the IBT and IntBT courses. If you are unfamiliar with the course model please have a look at the details for previously run courses here: https://h3abionet.org/index.php/training/ibt and https://h3abionet.org/index.php/training/int-bt. As with previous iterations of the IBT and IntBT courses, a call will go out with the requirements for institutions to host a classroom, followed by a call for participants to enrol to be part of a specific classroom. Classroom applications are currently open!
Intended Audience
The course is pitched at the intermediate/advanced level and will be most useful to those participants who have had hands-on experience in analysing GWAS datasets. While this is a suggested requirement, a good fundamental understanding of the GWAS analysis process will also suffice to ensure that you gain the maximal knowledge from the topics in the course.
The course is pitched at the intermediate/advanced level and will be most useful to those participants who have had hands-on experience in analysing GWAS datasets. While this is a suggested requirement, a good fundamental understanding of the GWAS analysis process will also suffice to ensure that you gain the maximal knowledge from the topics in the course.
Keywords: GWAS, workflow, variants, Meta-analysis, postGWAS
Skill level of training:
Beginner
Language: English
Credential awarded: No credential awarded
Type of training: Blended/hybrid learning
Venue of the course: Online and local hosting sites
Dates for the course:
Every Tuesday and Thursday from 10:30 CAT to 14:30 CAT
Course organisers: Shaun Aron, Verena Ras, Sumir Panji, Nicola Mulder, Tshinakaho Malesa, Sindiswa Lukhele
Participation: FREE
Course Sponsors: H3ABioNet
Local Classrooms
Course objectives
After this workshop participants should:
- Be able to run the H3ABioNet QC and Association GWAS workflow on an example dataset and understand output report
- Understand the different types of PostGWAS analysis methods and their outputs
- Be able to perform fine mapping and visualisation of association results
- Be able to annotate variants of interest using HUMA
- Be able to model the effects of variants on a protein using PRIMO
- Be able to run a Protein network analysis using MDM-TASK (RIN, residue interaction networks)
- Understand and be able to perform a meta-analysis
- Understand the importance and use of Polygenic Risk Scores
- Understand and apply the concepts of Mendelian Randomisation
Classroom applications
Registration for classrooms opens:
Thu, 06/10/2022
Registration for classrooms closes:
Fri, 28/10/2022
Notification date for successful classrooms:
Thu, 10/11/2022
Maximum number of participants that may be accepted per classroom will be
capped at
20
Participant applications
Registration for participants opens:
Fri, 25/11/2022
Registration for participants closes:
Thu, 15/12/2022
Participant registration link:
https://redcap.h3abionet.org/redcap/surveys/?s=THLNDTACRLWC9WFL
Syllabus and Tools
The course will cover the following 5 core modules:
- Module 1: GWAS recap and PostGWAS Overview
- Module 2: Fine mapping and data visualization
- Module 3: Single variant annotation and functional enrichment analyses + Integration of eQTLs
- Module 4: Meta Analysis and Replication
- Module 5: Polygenic Risk Scores
- Module 6: Mendelian Randomisation
Prerequisites
- Familiarity with unix command line
- Familiarity with GWAS theory and concepts
- Familiarity with H3ABioNet GWAS analysis pipelines and tools
- Preferably have run GWAS before and ready to perform post-GWAS analyses
- GWAS lecture material covered as pre-study material ahead of joining the course - this material will be provided to successful applicants. There are also online resources available to provide some background information regarding an Introduction to GWAS: https://www.youtube.com/watch?v=4_-pxWFUpfU&list=PLcQ0XMykNhCQJPz0amnbz9BPM4Bu0Nkgf.
Course limitations
This workshop will not teach any foundational coding skills and will assume participants already have sufficient background in unix and R. This workshop will also not be teaching GWAS hence those joining the course already need to be familiar and have run the H3ABioNet GWAS pipeline.
This workshop will not teach any foundational coding skills and will assume participants already have sufficient background in unix and R. This workshop will also not be teaching GWAS hence those joining the course already need to be familiar and have run the H3ABioNet GWAS pipeline.
For more information, please visit
Training material availability
<p>Training materials for this course will be available soon. Should you re-use any of these materials, please ensure that both the author/s of the material AND H3ABioNet are clearly credited.</p> <p><img 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" width="263" height="92" /></p>
<p>Training materials for this course will be available soon. Should you re-use any of these materials, please ensure that both the author/s of the material AND H3ABioNet are clearly credited.</p> <p><img 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2+xYcOGZhcTUI2RkRECAwMREhICU1Pqq1oul4tzp87B1+eSEGZHHc51DsLvhhG2MTc3x+XLlwX+TBISEuDl5UXYpqSkBAsXLhRoHADo2LEjAgMD0b59e8J2506epfW8kqGstAy7tu/kG2m+f/9+ODs7C2UOwmL06NE4deoUYZv8vHzs3OYptESgiQmJOPmfE4RtVFRUcOvWLWhqtpwMFRISEjh58iRsbW0J20U9jsSVi5eFMocmFSYVFRXw8vRC6mfqebVsbW3x8uVLHD58WGCdeWNhZWWFyMhIXLp0CWpqapSvv3LxCt8VlbD59vUbLvztQ9hGU1MT169fZ0SHHxoaSsp+9vDhQxQVUYsIbwgNDQ34+/ujVatWPNtUVlbi9LFTQlnh3Qy4gY/vPxK2WbBgASPCsymYNGkS391UakoqbgXw97KjCpfLxXHvY4QeUJKSkrh27Rq0tLQYHTs3NxcfP37E06dPkZSUhOzsbEb7B6q8JS9evAh9fX3CdtevXBdO7SDGe6TA6WOnkPCCuj1h9erV4HA4AunhmwoWiwVHR0dERUXB2Ji6Yf3k0ZN4FPFICDMjh6+PL2EsSevWrREQEABVVVVGxnv+/DmpduXl5UhKYib1urGxMc6dO0dob0v5lIKwkDBGxqsmPy8f169cJ2xjaWmJAwcOMDpuY7Np0yY4OjoStrl+5ToK8gX35qxJWEgYUj6lELY5evQoLCwsBB7r9evX8PLygoODQ1WBPQUFdO7cGcbGxujRoweUlJQgLS0NLS0tDB8+HPv372ckxEBOTg4BAQGEC+yysjKhaDmaTJjcuRWE2zdvU7pGQkICJ06cgKenZ4uvQdGhQwfcv38fEyZMoHQdl8vFwb0HKKV8YIrPKZ8J1VtsNhvnz5+HoaEhY2N27kw+JQSTq8lx48bxdRn29bnEaPVCv8vXCN3htbW1ceXKlRZf1IvFYuH06dMwMzPj2aagoAB+V64xNmZZKf8XqJubG1+7Az+Cg4Nha2uL7t27Y8WKFeBwODxVliUlJfj06ROCg4OxdOlSaGtrQ09PD3v37qVd9hcAOnXqBD8/P0LNwL3Qe0hJ5h9YSoUmESYv41/i5NGTlK5RUlLC7du3MWvWLCHNqvFp1aoVfH19KRtRy8vLsdtjF9JSyeeaYgKfM+cJVU4eHh4YNWoUo2Oam5NLB6Grq8t4tLe7uzsmTZrE8/y3r98QyJDa8WvWV8K+5OXlERAQILSI9i9fvjS4s4uKihJKgTkZGRn4+/sTrqBvcW4xlhX8JucmYV+2trbw9PSk3X9WVhbGjBmD4cOH49atW7RVoC9fvsTKlSvRrVs3nDt3jnY//fv3x5EjvN3KuVwufM4Sq6up0ujCJDMjE3s991BKTaKtrY1Hjx7B0tJSiDNrGlgsFjZv3oxLly5BRkaG9HVFhUXw2rmXVPoSJkh6mYToyGie5/X19eHm5sb4uNUZC/ixe/duxscGAC8vL0L7yfXLfnxTW5Dh0nniXU5+fj7WrVuHBw8eCDwWUGX3uXz5MqytraGsrIz27dtj586d9dqNGjUKioqK6NSpE0aPHo2NGzeSVj3yQ01NDX/88QfP82WlZbh8wVfgcQryC3D9Cu+cYdLS0vD29qadpPHu3bswMDDAP//8Q3eK9UhOTsa0adNgbm5OKUFpTWbNmkXojRYTFcNoVc5GFSbFxcXYtW0n8nLJJdoDgIEDB+LJkycCxRG0BBwdHXH//n2+nkQ1Sf6YjJPHqO3w6HL+9N+E53fv3i20rMfHjx/nqTpjsVhwd3dnfEdUjbq6OpYtW8bzfF5eHv65KthL5FPyJ9wLDSdsU1lZCT8/PwwcOBB9+vTBxYsXaWdaOH/+PHr06AFHR0cEBQXh61f+hcuSk5Ph7++PrVu3olevXhgyZAhu36ampm6IOXPmECaiDAsJo+WgUxO/K9cI7S+urq60Pbfu3LkDOzs7ZGQIpwpjZGQkzM3N8fLlS1rXN7RAqAm/7zUVGk2YVOv6P1HQ0w0ZMgTBwcFo27atEGfWfDAxMUFERAQl77SQ28F4EM7MapUXz54+w6ukVzzPDxs2DCNHjhTa+BoaGoiOjsb27dthamoKSUlJqKiowM7ODuHh4fDw8BDa2ACwatUqwjQltwJuCmQ7uUoxUDcqKgrOzs7o0qUL9uzZQ0kNtXbtWri4uOD1a+IYIX6Eh4dj5MiRcHFxISWMeCEhIUH4+VVWVoJzPYB2//l5+bjFucXzfNu2bWmnSQkPD8fo0aP5Zk4QlE+fPsHCwoLWrnTIkCGE7sKvkl7hVSIzu5NGEyZXLl4hnfUU+L+xsSlqGzclWlpa8PPzo/R3Hz38H6G4+lXz5OFjnufYbLbQVEw1kZCQwNq1axEVFYWCggJkZGSAw+Fg4MCBQh9bXl4e69ev53m+uLiYdp2dsrIyxMbE8m/YACkpKXBzc0OHDh2wdOlSvsWUFixYgB07dtAaixfnz58XuM+JEycSGuNjomJo2w6exjwlVAVv3LgRCgrUi9NlZ2dj8uTJjLijkx1vzJgxSE2lvkvz9PQk1BpER8YIMrWfNIow+ZzyGdd8r5Jur6CggICAgH/NjqQu/fv35xnx3RDFxcU4RdGhgSxcLhcxUbwfNhcXF4FzblGlKbyZFixYQOhZFktwj4hIeJGAkmL6njtAlT1l//790NHRwYQJExpMrMjhcPDXX38JNE5DODs7M7KY2LVrF89z2T+y8eEd9aqDABATxdvO17VrVyxYsIBWv8uWLcOXL19oXduqVStaNVy+ffuGyZMnUy6FYWBggKlTp/I8XzMliiA0ijA58ddx0jdATEwMFy9eRI8ewsnB31KYPn06Vq5cSbp9dGQ0Yw9FTd6/e48f33mn1GA6k2pQUBBGjx6N7t270/7R19eHu7s7Pn8mzhtGBUlJSfz22288z9O99zEETg1UqaiowNWrV2FhYQFzc3P4+vqioqIClZWVWLt2LWPjVDNu3DicPXuWEVvZkCFDCKtsEi1oeFFRUYG4GN6p+1esWEHrpf7o0SOcPn2adPtu3bph//79iIuLw9evX1FQUIDc3Fw8fPgQ+/btw6RJk0ingLp37x62bt1Kec5EQjMl+RMjmg2hL/Huh92npALYu3evUPXvLYmdO3ciMTERN26QywV16uhJGBgaQEKSucp1RC87HR0dRsvsxsXF0c5hVpeEhASEhobi8WPeKjqq2NvbY926dQ2ey8zIRGpKKtp3JO9AARC/JKWkpGjHGzx58gROTk7Q0tLCoEGD8OIFcfoXFouFgQMHwszMDKamppCXl0dcXBzi4uIQHR1dT4Vmb2+PixcvMrpLtLe35xl4Ghsdi4nO1DL3JiYk8vS0Y7FYtJ029u/fT6pd69atceHCBdjZ2dWLi5OWlka/fv3Qr18/uLq6YurUqXByciJMNFrNjh07MHfuXEo578zMzKCiooLMzMwGz8dGxwqcsVmoO5PCwkKcO8U/9XQ1c+fOhaurqxBn1LJgs9m4cOEC9PT0SLXPSM/A9avky6aSIYZAn8q0BxUV1R4Znjx5wpgbKwAYGhoSev3ERlNbPSd/+IivWQ0br1ksFl6/fo3//Oc/Au3Sk5OTce7cOcI2MjIy4HA4CA8Px549ezBp0iTY2tpi7dq18PX1xbt373DlypWfz6G1tTWuXLnCeLldOzs7nufev32HnGxq8S5ECyETExNaCUjT0tJw7Rr/YEpJSUn4+fnB3t6eVIC1ra0tHjx4gA4dOvBtW1pair1795KabzVsNpvQxZ4JrYZQhcmNfzjI/kEuB42lpSUOHTokzOm0SOTk5ODv7w9FRUVS7Tn/cBgpKgZUBeV9eM9bV820MKGrg27MPoleeFS/kDFRvNvr6+tDU1MTc+fORUJCAm7cuIGhQ4dS6p8stra2hB4/LBYL48ePx/Pnz3Ht2jW+0dV0GTBgAM/nnMvl0ri/zC+Ezp49S8pz7+DBgxg2bBilvnv16oWAAHKea0ePHsX3798p9W9vb8/zXPzzFwJF3QNCFCbFxcWELnk1kZaWxunTpxlf6fwqdOnShad6pS5FhUUIopimhhdEpWLbtGnDSA6jlgbRFzLpZRIlF+GnMU95nqspOFgsFmxtbREcHIxnz55hxowZjHo5kk1Zw2azf9YmEQbi4uKEas745+QzNaenpROmsqcrTMLCwvi2kZGRwZQpU2j1b2RkhEGDBvFtl5+fj+PHj1Pqe8SIETzfsWWlZXhN4P5PBqEJkzu3gpCfx1//BwCLFy9uUemem4JFixaRrj190/8mI5HxmRkN61eBqtVsc6kb05hYWVnxfJlWVFSQ3okDQCZBoJuVVcM1uw0NDXHq1CkkJydj/fr1jHg8njp1CgcOHCClrxc2RMKaSmoVomdXS0sLvXr1ojQvoOrzjYiI4NvOxsZGoNILS5YsIdWOatCovLw8oaD69pXaTqcuQhEmZWVlpOpWA1U5t4ThafKrIS0tjS1btpBqm5OTg7vBdwUek+jF2BKKBgkDaWlpwmzVZFOLc7lc5OY0XLtbTEwMgwcPJrxeTU0NW7duRUpKCv766y+BMkR8+/YNrq6u6NChA9zc3JCSQpxZV5gQ2QepCGqitlRqCuXn5yMqKgoxMTG4evUq8vL4Z+8wMDBATEwMoqOjacXHjBkzhtTi+uHDh5RVU0zd34YQijC5dzecdIW2devWkbYH/NuZNm0a31oF1dxkoBog0YuRTj2WXwWi9Ppkv5B5uXk83eXV1dUhLy9Pqh8ZGRnMmzcPiYmJ4HA4PHc0ZMjJycGePXvQpUsXODs7IzIyknZfdCF6rqgY4Ik+ByrPbqtWreDt7Q1TU1M4OTmRumbz5s0wMzPD8+fPaWU3FxMTw/Dhw/m2Ky4uxqNH1MpREN/fZihMyNZ50NLSwqJFi4QxhV8SNptNOto47Usa3r5+K9B4RF9IdXV1gfpuyTDxwiMS1MrKypTnxGKxYGdnh5CQEMTFxWHatGm07Srl5eW4ePEi+vbtiwEDBuDatWukCpQxgYqKCs+4lYKCAtI2qexs3otZKs8um83G8ePHMXPmTNLXsFgsHD9+XKAM52S8ugCQUrvVhOjZbXY7k8yMTMI8TjXZtm2bULxCfmXs7e1JpxB5EH5foLGIVir/5p0JE19IonZ0hElNevXqhTNnzuDjx49Yt26dQHaViIgIjB8/Hjo6Oo1iVxETEyPMg0ZaWDO0MwGoCRQmBAlAXphQzShM+OxSdL2uC+PChGzSQSMjI9oeD/92+GUCrebhg4e0V5RcLpfwi/tvFiZEai6yqgKilx3Ry5QK6urq2LZtGz59+gRvb2/o6urS7uv9+/eNZldhQo3IpDAByAkUpgQJQF6YZGVRi1wnvLcEuzkyMB4Bfz/8Hql269atY7xaYnp6OkJDQ5GSkoKMjAx8/foVioqKaN++PTQ0NNC+fXsYGhoynvOrqKgI4eHhePXqFTIyMpCZmQk2m/1zzPbt20NbW5uxNPr9+vWDiYkJYmKIg+Syf2Qj/nk8DI2oVz7Mz8vnqdNv3bo1WrduTbnPXwUmVnfC3JnUpVWrVpg/fz7mzZsHDocDLy8vUi6uDVFtV9m3bx8mTJiA5cuXEyZppIOamhrPiH0mhDXdhVC1QAGqPOBqwqQgAcgLE6oZm5mySTUEo8Lkc8pnpKbwz2opLS1NGCRFhYKCAhw6dAi+vr54+vQpX+8JCQkJ2NvbY+bMmbCxsaGdDoLL5eLKlSs4ceIEwsPDSaWhNjIywsyZMzF58mSBV592dnZ8hQlQFQVMR5gQZUOVk5Oj3N+vBNHfX0wyi2xJCe/nRVhxHCwWCw4ODnBwcEBsbCy8vLzg6+tLK31+tV3l4sWLGDBgAJYvX47Ro0czkqeLyPmAbLp3Ii8nQRZCDQkUpgUJQH5B8e0btUqURH97cZFgqfQZVXMlkKxLPnz4cMLqdWSoqKjAgQMH0KVLF6xZswaxsbGk3PDKysrg5+eHUaNGoUOHDrhw4QLlse/cuQNTU1M4Ojri9u3bpB/wuLg4uLq6QkMYjT65AAAgAElEQVRDAwsXLhSoDgJRJHZNEl8m0uqfKC13VlYW7ZTgvwJEq0F5BXJeWPIE95dX/iQmMTY2xt9//40PHz5g9erVAnlUPnjwAOPGjYOuri4OHjwosF0lN7dhl2mA+L6RbSfo/a2p8hKGIAFAutiWtLQ0pX6J1GIKitRT8deEWWESTy6h4+jRowUaJycnBzY2NnB1dRXowcjIyMDkyZMxb9480i/2zZs3Y8SIEYiNpZ/LpqysDN7e3jA3N8fbt/Q8rqoTt/Ej+UMyrbKyUtJSPB/U8vJygQoitXSInjmyL2VFgi9uejrvyG2mad++PTw9PfH582ccOHAA2tratPt69+4dlixZgo4dO2L16tW0szYTCRNFpeZxf6sFSlhYGOOCBKjKqUYGIhtIQzDx7PKCUWGSGM9/Fcxms+Hg4EB7jA8fPsDc3Bx37tyh3Uddjh49CnNzc8I8TuXl5ZgyZQo2bdrE2LjPnj2DiYkJbt0il3amJtUpNvjB5XLximadZ6IvbmO+8JobRKtGBbLChODe0q35LQiysrJYvHgxXr9+jWvXrmHAgAG0+8rOzsauXbvQuXNnTJkyhZQ6tiZElSNJC+tGuL9sNptU6hM6fPz4kVQ7KlVZAX7PbjPZmXxO+UyqfGi/fv0o34BqcnNzYWdnxzNNtSA8e/YMkydP5un9tHz5cvj4+DA+bm5uLiZNmsS3Sl5DCFvVJRImDUO4uiO7clZS4nmuKe9tdf6t+/fvIzIyEpMmTaJtVywvL4ePjw9MTU0xePBg/PPPP6S8C3klMBQTE0NrOXL2jpb+7DbFzoTsQogXjAmT92/fk2pHV8VVWVmJKVOmIDGR3ouRDOHh4di+fXu942fOnMHBgweFNm5ubi6cnZ0pG0KJErfVJOUTPXVDc1s9NxeYWN0RrbAzMzMbLUiQCDMzM1y4cAFPnz4lHZHPi3v37mHMmDHo1q0bDh8+zDOz9bdv33i+8OQV5El7gBLd35YgTMjuTMiWp6iGiYUQLxjz5iKbPoWuMDl+/Dg4HHL5vlRUVDBkyBAYGRlBX18fubm5SEhIwNGjR/l6P2zevBlWVlY/M+JmZGSQLu0pLS0NKysrGBoaolevXpCWlsbr169x8uRJvHpFHMj55MkTbNiwAZ6enqTGAqq8XgYOHIi7d4nzcNFNk0D0hRRGnMHIkSNruS5++fKFdEpuoGq+dVNeCCOBKNHLiOwXstom1ZCtrqKiAl++fCHtHips9PX1sWjRInh4eAjc19u3b7Fo0SJs2LAB8+bNw6JFi9C+/f8Lij179ozntVR0+kSfw6dPn0j3U5PAwEAEBgbybTd79mwYGBjQGgOoWlySUeOzWCxSaVdqQrQIJLIzkYExYUImmEhFRYVW4FRZWRnpB9nS0hKXLl1q0LXO3d0d8+bN4+nBJScnB1dX11rSfu/evYRustV06tQJ165dQ+/eveudW7FiBXbv3s2zxC2LxcLEiRMxbdo0vuPUpXfv3iSECT3/cSJVTFBQEOm0+GSZP39+rd/DwsIoCRNVVVWh1Dmvybdv3wh3x1RfeLzSpAcFBQnFsAtUuc1SzTzBVIxUNT9+/ICnpyf27t0LR0dHLF++HMbGxoiL4132gMrKmahtREQECgsLKXuU5ufnk6qyqKioKJAwOXbsGKETQjXGxsaUQwzu3+edFUPQnQljai4ywoRusNCZM2dI6RBdXFwQFBTE00dbTk4O586dw8SJtct/tmrVCm5ubnj//j22bt3684Xw/ft3eHt78x3X2NgYMTExDQoSoErXu2bNmnqR6ywWCxMmTMDz589x6dIl9OzZk+9YdSGjM6UrTDpr865zERERQdnH/VcgMDCQpwpKTk6OtGswAHTW7sLzHNldOFV27tyJrl27Uk5fTrRjEISysjKcP38eJiYmGDJkCK5cucKzbYeO5HdqmlpaPEskFBcXIzg4mPJczc3NSbV78IBcFpCGKC8vJ10WmGqJ60+fPhGWb6ZyfxuiRQgTMoZvcXFx7Nixg6+xUExMDH/99RfatWsHKSkpLFmyBO/evcOuXbvqSXkOh0PKZ37r1q1o06YN33Zubm7o27cvWCwWxo4di7i4OFy+fJl0JuCGICNMSktLSe2u6qJvqA8p6YZXsBUVFaRr0/9KEL3kjUyMKGV1MO3DOxV6UFCQwJXv6rJ7926sWbMGnz9/xsiRIzFnzhxSK+Dv37/Dz4+4HLSVlRXc3d1JfQ94ER4eTpgFt7epMem+ZFrJoKc+b3sClR1vNR06dKilkuPF48ePaX3fAMDX15eUCpnNZmPq1KmU+ib6vrZt1xYdtQRTCTMmTMjo5ekIE7JplidMmEBax9ymTRtcuXIFb9++xf79+3nOKzQ0lG9fenp6hLWVa1Id4BQbG4tr167B0JB6ZHpdyHpz8KqdQYSEhAQMjXgXEfL396fcZ0umoqKCcEVvZNzwzpQXvU16E2bIJfP8kWXPnj1YtWpVrWPHjx+Hvr4+/vzzT9y9e7fB2KHIyEhYW1vz9TZ0dXWFh4cHPn36hEOHDqFr166MzR2oskd279md0jWmfUx4nrtx4watwNvx48fzbVNQUIC5c+dS7vvJkyekC2NNnDgR3btTux9EwqS3CbVntyGY25mQECZU3dgA4NGjR6QCCufMmUOp38GDB/MVPvxsEQCwYMECSqtRfX19GBkZkW7PD7L3lGzRproQfSFv377N+Oq5OfPw4UOejiYsFgtGJtQ+19ZyrQlfkEypury8vODm5tbguZSUFCxfvhxDhw6FsrIyNDQ0YG1tDWtra+jo6KBv376Ijo4m7F9DQ+Onm7qsrCx+//13vHr1Cn5+fqQzXPPDoJcBZRdlE4KdX1paGuX4F6Cq4imZ7/vff/+N3bt3k+43MDAQQ4cOJaU6ZrFYlO2VRUVFhO+zZiNMysvLSZXopbMzIaurFSQjakNkZ2eT8vpg2jBJFbL3NOcHPbuJsZkJzy9Pfn7+v2p3QqTq6aqrQytnGdELz8/PT6CUOwDw559/YsWKFaTbp6WlISgoCEFBQaSzMyxcuLCefYLNZmPMmDG4d++ewPEqADUVVzUqqiqEqhs6cWM6OjqkNRGrVq2CpaUlYVDy69evsWfPHowaNYqnu3RdHB0dKRv4AwMDearexMXFYUAjf19dGBEmZA28dIQJmbQdbDab8ZToZNOFkNGhChNlZWVSyfXIBJQ2hIKCArrq8i5Tu2HDBpSXl9PquyWRlpaGo0eP8jxvbEpvZUdkN/ny5QtpY2xDlJSU0LINUGHcuHE8vRSrqY5XeffuHVasWEGY940XdFfORPfX29ubdHBgTbZt20ZaMIaFhcHW1hadOnXCsGHDMG3aNKxevRqOjo5QV1dHt27d4ObmRjrGrEuXLpQ9FrlcLmHJ7+49u1PO8dUQjAiTbJIxJnTUXGTy9aupqQm06qE7LkA+VbSwEBMTI5VSX5D00kSqrlevXuHYsWO0+24pbNq0iXDl2NuE+soZANQ11KHRXoPn+R07dtD2mpOSkkJwcDC2bNnC07NJEAYOHIjz58+TzhSsqamJPXv2ICUlBX/++Sc6depE6rqOWppo245e2QiiZ7e4uJiWe3vv3r35CtC6JCcnIyQkBOfOncOuXbtw+fJlysGTMjIyuHr1KuUcWufPnyd0uaaz62sIRoRJbm4eqXZ06jSQCYakm55F0HGlpaWbRTp2Mr7meXnkPqOGGDhkEGGk/ebNm4Vega8pSUpKwokTJ3ieV2+vTuhGzY+h1sN4nsvJySFcVfKDzWZjw4YNiIyMJJ1+h0yfs2fPhr+/P60VrZycHJYuXYq3b9/C19eXr4raYqAF3amiq64OtDpp8Tzv4+NDy3ayfv16GBsz8xImA5vNxtGjRynbW0tKSrBhwwae58XExGDen5zLMz8YESatWpGrv0DnhUam9gDZ6Humxy0uLqbtAsgkZF7kMjL0t7HtlNthpN1InuczMjIoGRtbGmvWrOFZKAwAJrk4C1TobaTdSCir8F5oeXt7084uXY2xsTE4HA6ioqLg7OxMS9UEVGUpePbsGY4fPy5wllkxMTFYWVkRqmAVFBRgO4p+7SMWi4UpM1x4nudyuVi5ciXlfiUlJREYGChQcCJZqnckLi68/w5eHDlyhDA1yzDrYYTPHhUYESZEkdI1oZMTh8yq+8uXL4zX1yAbWZqayr8YmLAhk4Zf0CRu4xzHQ1ZWluf5vXv3EmZdbqk8ePAA//zzD8/zXbp2EXhlJyEhgUkuk3ieLysrq+fWSxdTU1P4+PggKysLISEhcHd3h5OTE/r169fgM29gYID58+fjzJkzePPmDW7duiVQXFRdFi1aRJjrbJzTeIH1+UbGRjDoxfulHxYWRsuRRFlZGSEhIejVi7f7vKCoqKggNDQUY8aMoXxtdnZ2g7kGq5GSlsJ4pwmCTK8WzAgTki8qYQmTsrIyxgsKtRRhkpOTQ8o9V9C8O7KtZTF24jie5wsKCjBu3DiBvY+aExkZGXxXg1OmT2Gk/PSAwQPRqUsnnuf9/Pywb98+gcepRkJCAlZWVvDw8MDFixfx8OHDBneXQUFB8Pb2xrRp0xiPHbly5QouXrzI87yKqgqGj6SWe4oXLjNcCD+nWbNm4d27d5T7VVZWxuPHj7F06VJGy5CzWCy4uLggJiYGffv2pXx9RUUFXFxcCO1tdqPsBE6hUhNGhAlRIaWa0BEmZI10ZLNskqVt27akVF1Mj0sVskKUbIU6ImzsbdBOmbeQffLkCWbPni3wOM2B4uJijB49mtDbx6CXIQx6Ce5SCfzv5TGDOKJ55cqVtGrfNEfev3/PN4Gq0xTB3Ilr0lm7CywG8ba9fPv2DQ4ODrS8HqWlpfHnn38iNDQU/fv3F2SaAIChQ4ciJiYG586do+3gs2LFCsIgRTk5OYwaJ1iRwrowFrRIRsKRLUVZE7JBT3///TelfrlcLg4fPswznYSYmBipB6O6DjQVzp07RztzaV3IChNB9dsAICEpAacpvNUxQJVBc9u2bQKP1ZRwuVzMmDEDT5484dmGxWJh8vTJjI5raGQIQwJ//4qKCkyaNAkvX75kdNzGJjMzEyNGjCB0v9fqpIUBg+kX6GoI56mTCYVTYmIinJycCO1jRAwePBgRERGIjo7GrFmzoKenB0lJSb7XsVgsmJqaYsuWLYiLi0NwcDDPPH9k8Pb25utSPmbiWIFLp9elUYUJnZ2Juro6dHR4xzlUc+rUKUpR3ufOncOiRYugra2NP//8s0FV0eDBg/n2Ex4ejsjISNLjJiYmYubMmdDV1cWSJUtoCdiakBUmglZRq2aQ5SB07kLsubRx40ZcvXqVkfGagj/++AOXLl0ibGNu0Q/aXemXuOWFy4yphG68ubm5cHBwaLFlk/Py8mBjY8NXpTSZIfVhTZRVlGHjQGzMv337NpYtWybQOCYmJjhx4gTi4+NRWFj4MxuAh4cHZs6ciUWLFmHbtm0/y2p8/vwZUVFR2LBhg8D2l6CgIL4pWdopt8NIW94ONXRhTJiQMfDSLUozciT/P7ygoAC7du0i1d/79++xevVqAFXBicuXL4eOjg5OnTpVa1VCZlyg6uVJJuiouLgYCxYsQEVFBUpKSnDw4EF06dIFa9as4Vldjh9khImYmBhkW/M2nlOBxWJh+ZoVhC7RXC4X06ZNI1zZN1dOnDiBrVu3ErZRU1fDnAXU0veQpVOXTpg5lzj1/Pv37zFu3DgUFhYKZQ7CIj8/H2PHjkVsbCxhO4cxDoyk92gI56nO6KHXg7DNwYMHcejQIUbGExMTg66uLsaMGQN3d3ecPHkSBw8exLp16zB79mzY2dlBQ4N3nBEVYmNj4ejoSBhELCkpiRVrVkBCkn9RPao0ezUXACxbtoyU7nTHjh2YM2cOSktLebZ5/vw5Bg0aVE+wpaSkYNasWTAwMPiZw8bY2BhDhw7lO+7t27dhaWlJWHgmOzsb9vb2CA8Pr3W8sLAQO3fuROfOnQk9L3hBRphQqVBHBlU1Vaxcu5LwMyksLISVlRVhSvHmBJfLxbp16/Dbb78RtpOVlcWaje6ky8fSYYTNCEJXbKCqLsXAgQPx+TO9KpoNISMjA1VV1Vo/TAU7Jicnw8LCAiEhIYTtTMxM4DKTWjZcKoiLi2OluxtUVIlj0xYvXow1a9Y0i4qXZLh8+TIGDhxIaPNhsVj4fenv0NZh1pGiGuaECYmdSWpqKq1o3s6dO2PKlCmk2h4/fhx9+/bF5s2bERAQgE+fPuHly5cICAiAk5MTevfuTeiB9f79eyjVcHVev349qXEjIiJgbGyMlStX4vz583j58iWSk5MRGhqK9evXo1OnToRfpNzcXFpJE8l4oDBhL6lLD72emLOQODNqYWEhHB0dsXnzZsZdt5mkoKAA48eP51uAjc1mY9nq5YQR60wxY85MQvsJULUSNTMzY2wH6OTkhPT09Fo/dAKN6/Lw4UP06dMHz58/J2ynqaUJVzdmvaIaQk5eDqs3rIGMDHF83M6dOzFmzJhmHZDL5XLxxx9/wMnJie9OdaKzI/oNENxBgBcsAD+/5XMWzMFwmxG0OgoJCsF/DvHPGXPmzBlaFQWTk5NhbGxMWx1Eln379sHV1bXWsXHjxvGt5yAoFhYWCA8Pp7QS5HK5UFdX57vj62VshHWbmK2KWM3fp8/B/xp/H31HR0ecPn2a7xe4Jp8+faKUjK9t27aUs0enpKRg1KhRhOkmqpk1bzbfHQOTFBQUYN3KtfiSShy/Iy0tjePHj5NecDUmZ8+exdy5c/kulBQUFOCxdwdjAXRkiI2Oxc6tnnwXOgYGBvD39yftWdpYFBQUYOrUqaTeTRYDLeDqtpTR8e/cCsIx7/+nUmIsoVUHTXIubP7+/rSEiZaWFnx8fGBrayu0raednV09QQIAp0+fRnx8PN68eSOUcZWUlODj40NZpRAVFUVKdajKZ0svCFOmu+DL5y+IjiROU+7r64t3797h2rVrpOuya2pqYs2aNUxMs0EePHiACRMmkLqHZFRPTCMrK4vVG9ZgndtawqzcxcXFcHFxQUJCArZs2cJ4njo6lJaWYv369aQyI0hISMBt3apGFSQAYGxqjKkzp+HsyTOE7V68eIE+ffrg8uXLpJxyGoM3b978rNLKDx1dHSx0/V3oc2JMzdVVpyuputKC1MCwtrYmbWSnipmZGU6fPt3gOXl5eVy7do1UQkWqyMvL49KlS6RfsDUhW+mwWw9qRXSowGKxsGSlK18PLwCIiYlBjx49sH79eoFyhQnKu3fvMGnSJAwaNIiUIDEyNuJrFBcW6hrqWL56BWFutGp27NgBPT09XLt2rRFm1jBcLhcXLlxA9+7dSQkSMTExLFz6O3S7M1tCgiz2Y+wJc6NVk5WVBUtLSzg5OdEKbmSKr1+/wtXVFXp6eqQEiZq6GtzWrRKKwb0ujAkTMTEx6HbnX9sjPz+frxGOiBUrVuD8+fOMpEyuZurUqbh37x5h1Lu+vj4iIyOhp8e7FChVdHR08PjxYwwfTi/Kl2zxJKoV6qgiLS2NTTs2w5hE9tHCwkJs374d2traOHz4cKOmr8/KysKSJUvQo0cPXLp0iZQdx9puJFZvWCOUrLtk0TfUxyaPTaScXF6/fo3x48ejf//+AtUip0NISAhMTU0xefJkvpUZgaqsCms3rRMokSMTzF04FxOdJ/K11XC5XPj6+qJHjx5YvHgx6cziTFBUVIQdO3ZAW1sbBw4cIOU9qmegD489OxiNcieCMWECAHoG5F60ghZUmjx5MsLCwgSuWCguLo49e/bg7NmzpIRTly5d8OjRI8yaNUvgl4uNjQ0iIyPRowexmyIvvnz5wtfFEqiq7dwY6gMZGRms3rAGDmMcSLXPysrCokWL0LNnT1y+fJnQA09QMjMzsW3bNmhra+PgwYOkvohiYmKYs3AuZs+b3aSCpBqdbrrYsdeT1A4QqKpQOnDgQIwePZpvpURBqKysxIMHDzBy5EgMGzaM1DMJAO07tMeOvZ6EObMaCxaLhYnOjli6ahkp7UpZWRkOHToEbW1tbNu2jfFUTjXJzc3FsWPHoKOjg7Vr1/IMsq7LcJsRWL9lvVC9DuvCmAEeAF4lJmHDat7pjqvR0NDA58+fBfba4HK58PPzw/bt20k/xEBVQas5c+Zgzpw5tH2837x5gy1btuDKlSuk81FJSUlh4sSJWLBggcBpF44dO0aqzrQwDG/8CA2+i2NHjlHadbRu3RojRoyAg4MD7OzsBPYiio+Ph7+/PwICAhAZGUnJziYnL4cVa1aip35PgeYgDEpKSnDoz0N48vAxpes6duwIBwcHjBo1CpaWlqQis3lRVFSE4OBg/PPPP+BwOJRd/o2MjbB01TLGI7CZ4MO799i1fRe+fSXvdcpms9G3b1+MGjUKo0aNQs+egj03KSkp8Pf3h7+/P8LCwigttMTExDBjzkxY21oLNAcy1DXAMypMKisrMW/GXFKFmCIjI2FmZkZ7rLp8+fIFd+7cQVhYGFJSUpCVlYXMzEzIyMhAU1MTHTt2hKamJszMzGBvb8+YkbKoqAj379/HnTt3kJiYiMzMTGRlZaG4uBgdOnSApqYmNDU1oaOjA0dHR9IJJPkxevRoUju8BUsWwnKYJSNjUiExIRF7duxGHslaNzVhs9no06cPrK2t0alTJ6ipqf38UVZW/rlTKC4uRkZGBtLS0n66siYkJIDD4dDOmaappYnVG9Y0ujGYClwuF5cv+OLKRXoxPHJycrC2toaFhQXU1dVr3d+aqemzs7ORnp7+8/6mpaXh3r17uHPnDu2ASbvR9pg6cyrpglpNwY8fP7Bn+268eU3P4aZr166wt7dHjx49at1bVVXVnzuf8vJyZGVl1Xp2P3z4gJs3b1JaGNektVxrLFu1vNF2e0IVJgBw+tgp3Ay4ybeds7MzrRrMIqpKyGpra/OtpSIuLo5j544Tpo4XJpkZmdjtsRvJHz4y1iebzYaysjJKSkoopc8hQ78B/bFgyQJG7XHC5NGDh/jr0F8oKmSupo60tDSUlJTw/ft32o4yvPqdOXdWkyxs6FBWWoajR44i/G4Yo/0qKSlBQkICX79+ZdQrVatzJ6xYswJq6syWLyeirjARA7Cp+hcTMxNo6wiWb0hOXg4hQfwN7AkJCYymEvg34ebmhseP+as5jE2Nm/TLK9taFsOsh6Ftu3Z4//YdiosET0/P5XJRUFDAaKp7nW66cF3pCoexDs3CrZYsHTU7YtiIYSgrLcWHdx8YCQwtLy9Hfn4+7WSHdREXF4e1rTVWuK8UuiMIk4iJiaGPeR8YGhki9XMqJbUXEcXFxSgoKGAsiFdZRRkz58zCbwt+a/Sqr+/fvkNs9P93UYzvTADAdcESpKXyTi1SzZAhQxAaGirweP8mXr9+DT09PVL2CNeVrrAYxGzmVbqUlJSAc50D/2v/NIvqlACg0V4DztMmo28/6vUimhvpaem4cNYHjyIeNfVUAFQZtQcMHgCnKZP4pi5pCTx5+Bg+Z32Q9oX/e60xkJOXwzjH8RhhM4KU27gwEPrOBAAKCwqR8CKeb7uPHz/CzMyMbw1oEf9n/vz5iI/nf2+lpKQwf/GCZrPSFhcXR0/9nhg6YihKS0vx4T0zK2k6KCkpYdrs6Zi/eAE6anZskjkwTWu51ug3oB+MTHojLfULvmY1XVbh3qbGWL56OUbYWjOWYLSp6dCxA0bYjICiogLevX3HqAqQClLSUhgzfiyWrVqOnvo9m9TTsFF2Jnl5eVg4ewFKivnfcD09PTx79qxZuF82d6KiotCnTx9Sba3tRmL2vOZbqCo9LR0ht4MRHRmN1M/Cr1YpLi4OPUN9mPU1w2CrwaRcQFsyT2Oe4uH9h4iNjqHlBEGVdsrtYNrHFBaDB6AbiXizlkxRURFCg0MR/SQKiQmJjKkEecFisaDbvRtM+5piiNUQxspJCIrQDfDVnDt5FgHXA0i1PX78+C9ToU+YWFlZkVILiomJ4cB/DjZrj6SapKelI/pJNKIjo5D0Mokxw6ScnByMzYxhYmaKXsa9KOUF+1Xgcrl4nfSq6v5GRSM1hRnBzWKx0KWrNkz7mMK0jwm0OndipN+WRkFBAeJi4xD9JBpxMU9RUFDASL/S0tLo1bsXTPuawtjUBHLyjWsPIUOjCZPsH9n4fc5ClJXyDxDT0NDAmzdvmqXfeXPh9u3bpOurDLIchEXLFgt5RsIhPy8fT2Ni8fb1W2T/yEZ2dnbVvz+yG7S1sNlsyCvIQ1FJEQqKilBUVEQ75Xbo1bsXdLvrNmsX1KYgPS0dT6NjkfYlrda9zf6R3aBTg2xrWSgqKUJRUQmKigpQVFJEB82OMDYzrpVdW0RVJcykl4lIeJGA79++13p+c7Jz6u1gxMTE/vfsKv3vHitAUUkJPfR6QM9Ar8lsIWQRWqLHuigqKcJq+FDcvhHIt+2XL1+watUqxgrS/GoUFBRgxYoVpNqyWCyMHj9GyDMSHq3lWmPgkEEYOGRQvXMlJSXI/pGN3JwcSEpJQVFJEfLyzNZq+dVRU1fjWW2wpLjK3bqwsBDy8vJQUFRoNja3loCYmBj0DPShZ6Bf7xyXy0V+Xj6yf/wAACgqKaG1XOtf6tkV6pMydsJYhIeEkXLjPHz4MPT19TF//nxhTqnFUVlZCWdnZyQkJJBqb97f/JcxKtdFSkoKqmqqUFVTbeqp/JJISUuJ7q2QYLFYkJOXa5bqKqYQqg6gTds2cJzsRLr94sWLBUoC+SuyYsUKBASQsz1JSUlh6izq6f1FiBAhQlCErlC2cbCBVictUm3Ly8sxceJEvH79Wsizahl4e3tj3759pNuPcxyHdsrMpGsRIUKECCoIXZiIiYnht4VzSOsGf/z4AQcHB/z4n27x38rt27exeDF5I7q6hjocxo4S4oxEiBAhgjeN4urSrXs3DB9JvmbH69evMcPg8I0AABcjSURBVHHixEatddGciI+Ph6OjIyX/9VnzZouMpSJEiGgyGs1vcsacmeihR752R0hICKWV+a9Camoq7O3tSdctAKoysfbq3UuIsxIhQoQIYhpNmIiLi2OluxulPD1//fUXpk+f3mSpCxqb6Oho9O3bF8nJyaSv6arbFS4zXIQ4KxEiRIjgT6NGdMnJy2H1hjWUIpHPnj2LoUOHNmqJzKbg0qVLGDRoEFJTyUcoy8rKYqnbMlEqGhEiRDQ5tZTspaWltNIBsFlsyLQiJyA6anbEUrel8NzqSTrRX0REBPr06QN/f38YGDR9mU8m4XK52LRpE7Zs2ULpOhaLhQVLFpLe6ZWUlPxrbVAiRIhgnroVIGulUxGE9Vs2wNDIkHR7znUOzp48Q2kMOTk5+Pj4wN7enur0miWFhYWYNm0arl69SvnamXNm8oxkrktOdg6W/b4U+Xn5lMcRIUKECDLUSkEvCEkvkzB0xDDSHkW63XXx7es3fHj/gfQYpaWluHTpElq3bi1wDfWmJiUlBSNGjMDdu3cpXzth0gSMmTCWdHvvA954//Yd5XFEiBAhgiyMCZOCggKUlpbCyNiI9DW9TY3xMv4lvlKwh3C5XAQFBeHt27fo378/WrduTWe6TQaXy8XFixcxYcIEvH37lvL11nYjMXXmVNLtoyOjcenvi5THESFChAgqMGqAv+l/A29fk39BiomJYeXalWjfoT3lsc6fP4+uXbvijz/+QH5+y1DfhIaGwszMDJMnT0Z6ejrl6y2HWWHW3Fmk2xcVFuF4jayeIkSIECEsGBUmXC4X3ge9KQXbycnJYduu7TDoRd2wXlBQgC1btkBbWxtHjhxptgbm+Ph42NnZwcrKCjExMZSvZ7FYmDpzKhYsWUApy+jfp8/h+7fvlMcTIUKECKowpuaqJjcnB+LiYuip35P0NZKSkhgweADycnPxjoZuv6CgADdv3sTFixehoaGBnj3Jjy1MUlNTsWzZMsyfP592vrFWrVrBbd0qDLYaTOm6l/EvceroSVpjihAhQgRVGBcmAPAq8RVM+5hCUUmR9DVsNhvGZiaQl5fH87jntOqDf//+Hb6+vggMDASXy4WGhgbk5Bo35XNZWRnCwsLg5eWFWbNmISoqinatc/X26vhj+ybodNOhdF1RURF2bvVEXp7wy7WKECFCBMCga3Bd2im3w469nrTqFT+Pe44/d3oJXAKTxWLBxMQEDg4OcHBwQO/evQXqjxc/fvzAzZs3ERAQgMDAQOTk5AjcZy9jIyx1WwpZWVlK11VWVmLntp14Gh0r8BxEiBAhgixCEyYAoKOrg00emyEhSb385JfUL9i51RNpX9IYm0/79u1hb28Pe3t7dOvWDWpqapR3LhUVFcjMzMSXL18QHh6OgIAAPHjwgFF7jf0Ye7jMmEqr5OzpY6dwM+AmY3MRIUKECDIIVZgAgMVAC7i6LaV1bUF+AfZ67kH883iGZ/V/ZGVloaamBnV19Vr/ysrKIiMjA2lpaUhPT0d6ejrS0tKQlZWFyspKocxFQkICc3+fi8FWQ2hdX7cmswgRIkQ0FkIXJgAw0XkiJjo70rq2oqICF8754MY/Nyh5ibU0NLU0sWDJAmjrdKV1/Ytnz+GxyaPZ3SMFBQVSHmgVFRV8bTySkpJo1apVveM5OTmk7FLS0tKQlpaudayyspJShubmgoSERD0VaHFxMd8S2Ww2G/Ly8rWOFRUVkU6mKi4ujp49e8LY2BhGRkbIzc3Fq1ev8OrVK8THx5Mq0d1S0dPTg6GhIbS1tdG+fXtkZGQgOTkZHz9+RERERL30ImSRl5evp4XIzc0V2qJVWDSKMAEA15WusBg0gPb1yR8+4uiRY3jz6teqwigtLY2Jkx1h62BLO2Fj6udUrHdbJ7CNSRhkZ2dDQYGc3aykpARpaWl48+YNTp8+jatXr9Z6yXXo0AFJSUn1XqJz587FsWPEOzIJCQk8f/4c3bt3r3X8wIEDcHV1JfnXNB/GjBkDPz+/WsfevHkDAwMDQsHQqVMnfPhQO+uEu7s7PD09CceztLSEh4cHjIyM6gnkatLT07FlyxYcP34cZWVlJP+S5s+IESOwevVqWFlZ8WyTkZEBb29v/PXXX8jIyCDdt7q6OlJSUup996dNm4Zz587RnnNT0GhZg48cOIKEFwm0r9fq3Anbdm3D3N/nQbY1NaN0c8Xcwhz7vPfDYYwDbUHy/dt3eG7Z0SwFCVWkpKTQqVMnDB8+HOfPn8ebN2/QoUOHn+c/f/6MrVu31rvOw8MDSkpKhH27urrWEyTp6enYuHEjM5NvBujo6GDt2rWM9ikuLg4PDw8EBwfD3NycpyABADU1NRw5cgSJiYkwMzNjdB5NxcGDB3H79m1CQQIAqqqq2LRpE16/fg1DQ/I5CqdNm9bgd3/GjBlUp9rkNJowKSstg8em7Yh8FEm7DxaLhWHWw3DgPwcxznFcgyqPlkBvU2Ns3bUNy1evQJu2bWj3k/o5FetXrUNGOvmVUEuiY8eO4HA4tT5nLy8vJCUl1WrXrl07bNu2jWc/6urqDQoNNzc3RjzvmhNr1qypJzTpoqmpiYiICLi7u1NyBtHW1kZAQAC0tLQYmUdT4e7ujkWLFlG6Rl5eHjdv3qy1CCKCl9CwtLRscfev0dRc1bDZbPy2YA6GWQ8TuK/CwkIEcgJxw5+DvNzmHVPBYrHQx7wPxjmOQ2ftLgL39+b1G3hu3tHsY0nqqrm4XC7u3btXqw2bzYaSkhJ69uzZ4EvLxsYGgYGBP38fOnQogoODa7WprKyEiYkJ4uLi6l1/9uxZTJ1aO5/ZvXv3MHgwtUDQ5kRDaq5qwsPDMWTIkAbPUVFzBQUFYfjw+uW2y8vL8fTpUzx+/BiKioro378/tLW167WLj4+HhYVFi7RJ6ejo1As0Li8vh7e3NzgcDnJycqCsrAxLS0vMmjULioq1Y+pu3rwJOzs7wjH69euHhw8f8jy/cePGBnfizZVGLxpeWVmJo4f/g5zsbIx3miBQX61atcI4x3GwG2WHe2H3cD/sHl4lvqIdJCgM2rZriwGDBmDIMEtaOcgaIi42Dns996CkuOVVoCwtLeX5otPS0sI///yDXr1qlyDu3bt3LWESEhICX19fODr+36mDzWbj8OHDGDBgQK3P38LCAi4utStRlpeX4/fff2fgr2meDB48GDNnzsSpU6do9zF69OgGBYmXlxc2btxYS63KZrMxY8YMHDx4sNYuUl9fH7/99hu8vLxoz6OpsLS0rHds9uzZOHv2bK1jHA4HZ86cwb1792otmgYMGAA2m01oROenypo+fXqLEiaNWmmxJpfOX8KJv44z8uKXkpbC8JHDscVzKw4ePQSnKZMYe3HTQU5ODsNHDsfmHZtx5IQ3psxwYWw+98PuYedWzxYpSPiRnJwMNze3escb2u4vX768XoLP/v3719qBsNlsHDx4sJ432YEDBxAfLzx38+bA7t270a5dO1rXSklJYe/evfWOr1y5EitWrKhnn6usrMTJkyfh7Oxc7/s8evRoWnNoauoKk/Lycly6dKnBts+fP4evr2+tY/Ly8oRpnWRkZDBp0qRaxxITE2v9rq2tjQED6DstNTaNvjOpye2bt5Gbk4vfly2CpKQkI32qqKpgvNN4jHcaj8yMTCS8SMDL+Jd4GZ+ArEzhlP6Vk5dDD70e6Kmvh556PaHVWYtSQkay+F/zx/kzfzernRfT1FXBAMCjR4/qHUtNTcWWLVuwa9euWsd37tyJ69evIzc3F3Pnzq2X9eDLly/YtGkTo3NujrRt2xZ79+7F9OnTKV87e/bsemqryMjIBgVMTfz9/REaGlrLWG1hYYG2bdvi27dvlOfRlLRpU9uWKS4uDk1NTbx586bB9mfOnEFhYWGtYxISvIO1x40bV89Fe8aMGbh7924tb8UZM2bgwYMHVKffJDSpMAGARxGP8Cn5ExYvX4IuXQW3JdRERVUFKqoqsBxWtcr4mvUVGenpyP6R/f+f7Oxav+fm5tZ7WbNYLEhLS6OVbCuoqatBTUMdGhrqUNNQR/sO7aGuoS4U4VFNTnYOvA8cQey/IEWKubl5vWN17SPV7Nu3DzNnzkSPHj1+HlNTU8OmTZuwbdu2Bo3yK1eubPZ2JrpER0fD1NT05+/Tpk3DmTNnKBdg69u3b71jhw8fJnWtm5sb+vTpU+tYq1atWpwwefjwIUaMGFHrWFhYGNzd3eHn51fvGYqIiEBERATp/mfOnFnr9+fPnyMyMhIBAQG1diyOjo5YsmRJPUHVHGl0AzwvxMTEMNHZEWMmjKGVRoQpKisrkZOTg9KS0p9BbpJSkkIVFkREPorEfw7/1ewdDHhR1wBfUlICNTW1eu309fVha2uLhQsX1mrPLw7EysoKISEhtY6Vl5fjzp07sLGxqXW87qq5JdOQAd7e3h5HjhyBpqbmz2PVrqrVsSdkDPBRUVG1hFJlZSVkZWV/6YDEugwaNAjh4eENnisuLkZwcDBCQkJw9+5dvHjxgpK24L/tnXtMU1kex79tQXmUlzjKuFSIUIIJjBiSdVwSgmBCxSoiK+ImVHyNEIU16Y6Rja7GZNYVGMHXKLNGwYjgSggsOpDAKsYZ5CFgUxFWXkGBUVQo0AJa6N0/CCyXW/rgYR9zPslJ6Lnn9J5zW/q99/wex83NDe3t7bTflKNHjyIlJQVbt25FYWEhrX1MTAxu3bo1u4l8Rgz3qz2NsbEx5N7KwcmkkwZ1dZ3wLFrushwOjg5YbLXYIEIyPDSMy+mXkXomxWSFRB2LFy9GX18fozx+/BhJSUmTQvLp0yfs379fa0DhgwcPkJtL30nSwsKCISRKpdKsje7A+FYM011Zvby89Io9YbFYDNfirq6u35SQAOPefunp6WqPWVlZQSgUIi0tDRKJBD09PcjLy4NIJNK4tDXB7t27ab8pFEUhJycHAFBSUgKZTMZobwoYjZhM8N/GJhz987d4WKb/3ujmQmPDC/wlUYxHD8oNPRSDMTw8DHd3dyxbtkxrW7FYrHW3zfT0dIaB0xwpKipCfn4+rU6f2BMej8fYCrujo2PexmdKiMViZGRkaE1rsnTpUkRGRiIrKwttbW0QiUQztmWxWAxxePToETo7OwGM30RNf+IMDg4Gj8eb5Sw+H0YnJsD4D8mVC1fw91Pfob2NaZA1Vz68/4CMyxk49ddTC+YsYCo4ODjg+PHjqKurg5eXl8a22ozqnZ2dOH369DyP0HhJTEykrekvWrQIV69e1amvtbU1o07XvF3mhkqlQlxcHPz9/VFUVKTTdXB1dUVWVhbi4+PVHg8MDMSqVXTbcHZ2Nu319CdtNputUaCMBaOxmcwEi8XC79evQ9SfosBbafzqPBv6Zf3Iv5uPspJSs8ppBDBtJkqlkmHYBAAnJyeEhoZi8+bNjOjhlpYWeHt7a0xiaWFhAYlEotYdMyoqCnfv3p3DLIwPdTaTDRs2oLy8HMC4oJw/f552fO/evXj48KFGm4mFhQUUCgXNu7K1tRWenrNLQGpO2NnZITQ0FAKBACEhIXB3d5+xLUVREAqF+Okn+nYQmZmZtCeTCRvi1KUtDoeD7u5u2lN5c3Oz1psqQ2P0YjIBi8VCQGAAdkRH4cvffWno4cwL8kE5CvMLUXKv2Gzv/tQZ4DXld2Kz2SgrK2P4+e/YsQN5eXkazxUZGcloU1FRgYCAgFmM3LjRJiZsNhtVVVU0Q/qHDx8gEAhQU1ND6zfdAC+VSuHj4zP5WqlUwtraWqeM1K6urhAKhbS6qqoq1NfX6zw3U8HLywvh4eGIiYmBr68v4/jNmzdpwsHlcvHmzRua629raysuXbrE6CsSiRhu7QEBARoj5g2NwV2DdYWiKPz86GdUPK5A4IZARO78I5a7LDf0sGaFQqFAcVExigr+jeGhYUMPx6hQqVS4cOECQ0wCAgK0iok699PXr1/P6/hMBZVKhYMHD6K6unoykaCzszNSU1O19m1oaKCJiaWlJYRCIcPLSB3R0dFISUmh1W3ZssWkxGTlypVYsWIFrU4qlTKCNV++fImUlBScO3cOYrEYZ8+epR2f/h2OiopiZLz28PBAWlqaTuOKjY01ajExSpuJJlQqFcr/U47Egwn427ETKC0phXxQs/HVGBgdHUX1k2p8/4/v8Y3oAP51+w4RkhmYMEZOZaq7K0E36urqcPHiRVqdLvnI1OU3S0xM1OmcYWFhtNejo6MzutgaK2FhYXjy5AmtTH/amsrY2BiSk5MhkUho9Twej+YGPz22RF927typ1qZlLJicmExAURSaXjThnz/8iG92H0DKd8mo/KUSyk/GY3OgKAqNDY348XIGDoj2I/VMCqoqKs3OLjLf+Pn5MepaW1sNMBLT58SJE3o/nV25cgXv3tEdQIKDgxnJMqcTHh7OuBt/+vSpyQWJVlczM5sHBgZq7TfdFiWXy9HT0wMA8PT0nHNqFHt7e0RERMzpPRYSk1nm0sTo6ChqqmpQU1UDGxsbrPvD1/hq7Vfw5Ht+9qWwgf4BtDa34EVDIyoe//Kb98rSFx8fH7WeV+pSqhC0I5fLkZCQgIKCAp379Pf3IykpCdeuXaPVZ2VlwcXFBampqYwgPaFQyGgPMD2VTAGpVIqRkRGabS8uLg7FxcW4d++e2j6rV69mOJbU1tZOuhWreypJTExk2K+mwuPxGDm/YmNjcfv2bZ3n8jkxCzGZytDQEB6WPZiMU7Gzs8Mqvgc8+Z7w5HvA04sPB0fddv7TxsjICNpa2tDysgWtzS1oaW4h4qEFS0tLZGZmMuqtrKzg4eFBMxhPMDQ0ZDL5iYyRwsJCFBYW6pV08caNG4iPj4e/v/9kHYvFQnJyMpKSklBVVYXq6mo4OjrCz89P7Z17aWmpzmlYjAmlUomcnByaALDZ7MnrmJ2djfb2digUCri4uGDTpk04dOgQY3+lCRuTOtfe3t5eZGRkaNzqt7KyEk1NTbQYoZCQELi6uqpdCjY0Zicm0xkcHISk7hkkdf9fB3Ze6oylX3wBLtcWXDsubG1tYcvlgmvHHa/jcsHmcKCQKyCXy6GQyyEflEMuV0ChGP+7X9aP7q5us066uBCw2Wy9InpVKhV27drFWHYh6Mfhw4cREhLCCEicCZVKhT179qCgoIARF+Hk5ASBQACBQDBj/3fv3kEkEpns/0d8fDz4fD5taYrNZiMiIkKnpab79+9PRtBv3LiR4e6el5en057xd+7cwcmTJ2ljiImJwZkzZ3SdymeFIoWUhSoymYyaLTKZjNq3b5/O5woKCmK8R25ursGvwUKUbdu2MeYaFBSksc+RI0fUXudjx47N2IfL5VLXr1/X63Orr6+n/P39DX6N5lqcnZ0pqVSq19wpiqJqamooJyenyffJyclhtAkMDNRpDN7e3oy+TU1NBr82MxSDD4AUMy76isnAwABVX19PicViyt7eXq9zETEJ0tiHw+FQtbW1jH6axGSibN++nWpsbKTGxsZm/OxkMhmVkJBAcTgcg1+f+SocDoeKjo6mnj17pvW7K5FIqIiICIrFYk32d3R0pIaHh2ntOjo6aG20FYlEwjjX+vXrDX5tpheTCVokmCZ8Pn8yzkETFEXh/fv3c0pVbmNjw3AhHhgYQHd396zf01jhcrmMpZNXr15pTVW+ZMkSRr6znp4e9Pb26nReW1tbrFmzBmvXroWvry9kMhkaGhrQ0NCAxsZGDA+br7v7unXrwOfz4ebmBjc3N3z8+BFtbW2T5fnz54xlPXXfycHBQXR1del8XhcXF8a2wG/fvkVfX9/sJ7MAEDEhEAgEwpwx2TgTAoFAIBgPREwIBAKBMGeImBAIBAJhzhAxIRAIBMKcIWJCIBAIhDnDBvCroQdBIBAIBJPmVw7GxeRrAPYGHgyBQCAQTI8uAN/+D4eRnrGi9Z2PAAAAAElFTkSuQmCC" 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