The aim of the project was to use a growth mindset approach to:
*raise pupil attainment in Literacy and English and equip children with new and exciting vocabulary to enhance their written work.
*develop pupil voice and empower children to express their thoughts about their own development and abilities.
*develop confidence in learning and enable children to see a direct link with mindset learning and personal improvement.
The purpose of this project was to show the children the real-life application of growth mindset to their learning and to provide them with meaningful mindset understanding to enable their success. Literacy was selected as a targeted area of the curriculum as it was a priority of the school’s Improvement Plan 2019/2020.
The project was presented to the children as an ambitious vocabulary challenge and was issued alongside an introduction to growth mindset. The children were explicitly taught about growth mindset and were learning to identify the difference in mindset beliefs, with the hope that they would begin to make connections to their own beliefs and their ability to embrace challenge. The activities were a clear way for the children to reflect on their own progress and would encourage them to work both independently and collaboratively.
The aim of the project was to raise attainment, develop pupil voice and encourage confidence in all pupils in the class using a growth mindset approach to learning. The evidence that has been collected demonstrates that the project has been effective in meeting these aims. The children who have taken part in the project have shown growth and understanding and have displayed enthusiasm towards the learning experiences provided. Individual confidence has been developed throughout the project and pupils have made real connections to their success, effort and attitude towards learning. Consistent use of growth mindset vocabulary e.g. if it doesn't challenge you, it doesn't change you, has helped create a more meaningful understanding of mindset beliefs. The children have experienced challenge but have been given a safe space to develop their Literacy skills without fear of failure or mistakes. 16 out of the 20 pupils, successfully included examples of the ambitious vocabulary in their assessed piece of writing, in context, which indicates the engagement that has taken place throughout the project.
If starting the project again, I would chunk up the time throughout the week. With a busy timetable, it is not realistic that a 50-minute block per week could be managed to solely focus on vocabulary development. In future, I would set challenge words weekly and create challenge opportunities for the vocabulary to be used across the curriculum to provide more depth and an interdisciplinary approach to the children’s learning. The children have responded well to the use of technology to capture pupil voice and have demonstrated confidence when reflecting on their success. I would also reconsider my data collection measures, the Oxford Writing Criterion Scale for Scotland measures all aspects of writing skill development and does not solely measure the children’s use of vocabulary in their work. As this is part of the Big Writing scheme of writing used within the school, it is more challenging to establish if the vocabulary challenge has made the impact or the scheme itself. The additional qualitative data that has been collected has enabled more robust data to be shared on the project’s completion.
The targeted timeline for the project was met and there is evidence of the positive impact on the learners and their attainment. Within three months, evidence of resilience, reflective learning and application of new vocabulary was observed. The timeframe provided enough time to support children of varying abilities to confidently use a wider range of vocabulary in their writing.
However, with such a small timescale, the data collected was not as robust. More evidence of the vocabulary permeating other areas of the curriculum could have been gathered over a longer time period of observation and recording (after the vocabulary had been learned). Ensuring a 50-minute block per week just to focus on vocabulary was also a challenge. Primary seven have a busy timetable, trips out of school and visitors booked into school, etc. This would have to be reconsidered for the future, it is not realistic to spend this amount of time solely on vocabulary each week. Perhaps smaller chunks of time across the week would be a more successful approach and easier to manage.
On the initial plan, the project was to be carried out across two primary seen classes and would use data collected by both class teachers. Unfortunately, this was unable to happen due to timetabling issues and staff development commitments. Data has been collected from only one class as the project was not fully carried out in the other class.
Peer and self-assessment were captured on video as planned but did not take place after every lesson due to time constraints and accessibility of resources (iPads). The assessment was verbal and took the form of whole-class discussions and feedback sessions.
The Mindset questionnaire was also completed by children at the end of the project to measure any changes that had taken place with individual beliefs.
Positive changes in attitude and attainment have taken place throughout this project and a deeper understanding of growth mindset has been established by the children that have taken part. This focused approach ensured that many of the children saw results, encouraging the development of their confidence and personal ambition.
The initial fixed vs Growth Mindset Questionnaire results (Appendix 1) showed that 80% of the children already had established growth mindset beliefs prior to beginning the project. Through discussion, previous learning about growth mindset towards maths had been established and many of the children had prior knowledge and a modest understanding of growth mindset. Although a high result, further mindset shifts had taken place when the post-assessment questionnaire was completed. Many of the children displayed a positive attitude towards learning in general however individual confidence did not always reflect this.
When embarking on the challenge, the children were asked to write a brief sentence on how they felt about the words that they were learning (see appendix 2). Many of the comments show a lack of confidence and self-belief that they could successfully learn this challenging vocabulary and use it correctly in their work.
Throughout each lesson, it was evident that the children were becoming more confident with the use of the challenge words as many were very eager to share their work with the class. The weeks when children were not using FlipGrid to record personal reflection videos, they asked if they could each share sentences with each other. Without prompting, some of the children began to support one and other to up-level (improve) their work and ensure their word was in the correct context.
The ambitious vocabulary that the children had been learning discreetly during our 50-minute lesson began to be used in other areas of the learning without prompting. In classroom discussion, the children began to use some of the appropriate words and evidence was gathered from Social Studies and Literacy jotters (the ambitious vocabulary challenge was completed in writing jotters).
The Oxford Writing Criterion Scale for Scotland consists of a set of 9 Standards that enable both formative and diagnostic judgments to be made on pupil’s progress. Within each standard, there is a list of key skills that the children have to demonstrate in their cold piece of writing to move onto the next standard. The pre-assessed piece of writing carried out by the children showed that many were not yet able to demonstrate the skill ‘select from a wide range of known vocabulary (words that are not usually used by a child of that age) and use them precisely. This changed significantly in the post-assessment piece of writing, showing that the children had a real focus on raising their own standards of writing by using ambitious and exciting vocabulary.
Anecdotally, the project developed individual enthusiasm and effort towards writing. When approaching the second piece of writing, children couldn’t wait to get started. They were using this opportunity to showcase their new vocabulary and skills of correct application of each word. Some of the children wrote double the amount of text than the previous piece of work and eagerly approached their teacher for approval. Excitement, confidence and a focus on self-improvement was observed from the children. They developed their ability to purposefully reflect and assess their own work and the work of others.
There is evidence to suggest that a growth mindset approach to Literacy learning has helped raise attainment, developed pupil voice, encouraged confidence and self-belief towards learning. Quantitative data was collected using mindset questionnaires to capture any mindset shifts that have taken place throughout the project and the Oxford Criterion Scale for Scotland was used to formally assess progress in children’s writing.
Mindset questionnaire data analysis has shown that the project has had an impact for a small number of learners who have taken part in the project. As previously discussed, 80 % of pupils scored 4 or above in this questionnaire, identifying a growth mindset. However, 15 % of pupils shifted from a fixed mindset to a growth mindset on the post questionnaire, showing the positive impact the project has had on these individuals. Pupil 16 remains at a fix mindset however, this pupil attends nurture support within the school for confidence and self-esteem which may be why a shift has not been able to occur for this individual. See results below:
Mindset Questionnaire Results
|
Oxford Writing Criterion Scale for Scotland
At primary seven, children (without additional support needs) are expected to be marked against Standard 7/8, this benchmarks the end of 2nd level experiences and outcomes for Literacy and English. The data shows that 12 children were able to provide evidence of skill development in their writing within this 12-week project. Two children also moved from standard 6 to 7, joining their peers at this standard. It could be argued that some of the marginal gains for some pupils may have occurred naturally through Literacy learning during this time, however, 9 of the pupils were now able to demonstrate the skill of using ambitious vocabulary that is not usually used by a child of that age (skill No4 on the assessment grid). Both pre and post assessment cold pieces of writing were unassisted, pupils received no support during this assessment time. The data collected revealed that 16 of the 20 pupils included examples of the ambitious vocabulary challenge words throughout their work in the post assessment piece. Children used between 1-4 examples in their work.
Assessment 1 Standard marked at |
Score |
Assessment 2 Standard marked at |
Score |
Pupils now able to demonstrate skill 4 |
Use of Challenge words in writing |
|
Pupil 1 |
Standard 8 |
13/22 |
Standard 8 |
13/22 |
* |
|
Pupil 2 |
Standard 7 |
14/22 |
Standard 7 |
15/22 |
||
Pupil 3 |
Standard 8 |
10/22 |
Standard 8 |
10/22 |
* |
|
Pupil 4 |
Standard 7 |
14/22 |
Standard 7 |
17/22 |
* |
* |
Pupil 5 |
ABS |
NA |
Standard 7 |
14/22 |
* |
|
Pupil 6 |
Standard 7 |
10/22 |
Standard 7 |
13/22 |
* |
* |
Pupil 7 |
Standard 7 |
11/22 |
Standard 7 |
14/22 |
* |
* |
Pupil 8 |
Standard 7 |
14/22 |
Standard 7 |
17/22 |
* |
* |
Pupil 9 |
Standard 6 |
11/22 |
Standard 7 |
13/22 |
* |
|
Pupil 10 |
ABS |
NA |
Standard 7 |
15/22 |
* |
|
Pupil 11 |
Standard 6 |
7/19 |
Standard 7 |
14/22 |
* |
* |
Pupil 12 |
Standard 7 |
13/22 |
Standard 7 |
18/22 |
* |
* |
Pupil 13 |
Standard 7 |
12/22 |
Standard 7 |
16/22 |
* |
* |
Pupil 14 |
Standard 6 |
8/22 |
ABS |
NA |
||
Pupil 15 |
Standard 7 |
6/22 |
Standard 7 |
7/22 |
* |
* |
Pupil 16 |
Standard 7 |
12/22 |
Standard 7 |
15/22 |
* |
* |
Pupil 17 |
Standard 6 |
7/12 |
Standard 7 |
6/12 |
* |
|
Pupil 18 |
ABS |
Standard 6 |
10/19 |
* |
||
Pupil 19 |
Standard 7 |
12/22 |
Standard 7 |
12/22 |
* |
* |
Pupil 20 |
Standard 7 |
12/22 |
Standard 7 |
14/22 |
* |
Qualitative data collected was gathered by the classroom teacher over the course of the project. Pupil voice was collected in a variety of ways to allow the children to express their thoughts and feelings as they progressed through the challenge. The children were asked to provide comments on their feeling at the beginning of the challenge and at the end (see appendices 4 and 5). Children were asked to write their thoughts down on a post it note which then formed part of the classroom mindset display. A clear shift was evident from the difference in language from the children.
Flipgrid is a social learning platform that allows teachers to ask a question, then the students respond in a video. These videos can then be viewed by all children to encourage and facilitate discussions about their learning. The children were asked to showcase their progress and reflect on how they were taking a growth mindset approach to their challenge.
Enjoyment was evident during classroom work, children reflected on their learning and enthusiastically captured their thoughts about the new vocabulary and progress. The videos provide evidence of the opportunity for pupil voice to be developed and for children to share their thoughts on the challenge words and how they were able to work on the challenge. The children demonstrate an understanding of perseverance and the importance of challenge to support their learning (see pupil voice video link).
Further evidence of the children’s success has been provided in appendix 3. Photographs of pupil work has been shared to provide evidence of confidence and enthusiasm demonstrated by learners. The challenge words that the children have successfully learned continue to be used in other lessons independently.
In this project the qualitative evidence provided from the children effectively demonstrates the project has been a success. This process has enabled learners to meaningful engage with mindset learning and apply growth mindset beliefs to make improvements and develop their ability to reflect and grow.
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uu8PJ9p57fxu/rTre3IrNwUAJjkArr2b473zn1X2YWeDJ3T1s1OUKprCnivf2MIzV6Rk3u2CcM7dbkxtKbWpR1GTfbRGE9qo7vybNvEBtlTnDbzmX2A8ZwGAMXxKnjazM1Dn03vxrQxcM0DlW1AuZHYXFneF3JK6bnk09Sytvlj/eOnzQQIX5Jrv/OHFBzpwKiNZ+QI/shE3j7dDm78wRzZls6czob3fB73Q7Lh3uFUruP/tUto67uqTewr7UMJPPYBplRa1zqHlvpohs9lC7FyJ2JT4AOi76JSnHs9LrpkRip5b0ivdC9P2ipS7J4cRPFSniybvw9zIlduV+ixVSqtDpC8wc3rxNTiOS0VZHSPnqDhNgaCKHbwAi8Ojz7lmbS4OvZuQ9mOD1w01j8fRMbacu1FoXvwxJmEBZqzVSGKdw63XJcYTauLj5Uf2vXAS0d2qbR/rF11TfFN1p62py7f/QAZ2MG3KGbLtoO5XrWlBTlt7P3Qr+D1pxJI7jo0Lhj+yevII53yycvvKp89z6gFM+31sZd2Tkzfyvf5ewcJxRnd9S0+OlKSa+vT/cDw1Ff/b01+7wCgNvlwe/f2bfWlmz5+La30d54IiQ/vR9PVA/+SPTfn4HIJuJTZBR9hk9odnhhQr906OGbffkCOB33Z/Wq3B2nulfZ3798NJkDVrzCj7Tr7ODLtiXYw4ZtSYfFJhUYfMofS37yB/sN0YOUfPpxDmMFMDxSXUr3v10wGWWzZNSh18L3aMaTTtvLaLw5Xu6bRAnDG4MHbeN864c+TUDVpx5n58MA3axre2j4khshWm+WF1+RTQmd+6Pyhr/lkdY1/mqTKerXnbfacHuzTMogLrrq0YzAdU1eqHImRs28wHwYiPaPR/a8OsFdemJCrrMnx56eAa5x/sMvb4cU+ixu+m+w1sbxkg1C8i1bqjeu0OWAtq/bd28J1b5eLbwTbmhNAwBecurEgVSa0Uq9O8NEpDPgSbP7jZdXaKm2gxcSjnqWNF5vYw5zDmx7ylMCutinmzfzABrVNaVWM6o1e64UfjX2wvzJd0aKitPIq+qXChmCseMcTiGuHwOydjtBii6EPG/3SS1V531y6+JMpF3Ont+3So9CbTuvna7aqXwKj7Dpynvl2MYI2nSanJHe/Cr60YqzeT2au61oYANeA84dOaV8ylq5a+Fx0J9f0kNQn0xUL2vI6H/4f2dp1R+OKgYflXOC87trFYtiMV8qh9eSvODxLL0AEJQBH4DJM+0E6MMfhjz0ymdRBXU4bkC643fjCuxLXImUzcPdp18W/PCl58iqVyyv54Xl3hV6vq34nY1vv2w2lZOkXAFvcDrzrzuFZEM6NUTeoWktzdM4n0wdPGp3BjU5urlLWLmmvDME9m9UjQ8HxLe61IS7a+J1L4z39awBcF1gJ3PSazwTAuZGQji0PD7m0DaeU9us1moCGx7fAXecxejSWppv8oYzl1Q1GPd62ErzwSA62sl5ytf8ONintXVDSN7mHXNDAqR/5O/lLspTR13fonsEHAM89Gn3Z96I92KJX9sm262FK16QM/NnETTZybqK6SF198KcnH+l7iLPNEL+mnFc3Ven7ZCPDb5FDXzfeAR2uDSQdVj85/jpnj8Pj9F1CJadbP1VPtYeWJpx2RfbA9uuhhRP39zQmJ77zyWmfjuNhcgbK84fvcO7lGM59HSnlC+g+T/v6J0tx00V+5VaAemV8bSEJDNGKx97HJouT0iju7NqnWsIoHiq5HjDrTzo3O27EZ4foAn7dTQOdjB7lD6fqez+2kko4PC75vCpzX3guliurpBGTtHtt8h9/sPVfx3tB2uYGT5k8g1177bRarzs7h1bn7bsEdqXh5MofWx3bS/APDS2rt3ql8WHru3Whae3D1bd5474tpeT/JJ9zeTL3WdrYgp1nB+Abp+Dpc2w0+6MHTrp/0hnMGd9oj6dkPDReS2/yuGbvtR3f8hcahVH/xnynf3ponxaLs2OX/HWzvXi4T5PLXLN4qA5wlPu+tiO7nI/ux1mz0jwx33rKu0ZLui/Pz12LQmb0rSGhUnqUEVuLvdq0tNOFJntHmdp9oEnz1UN9896eI8vxjWZ2qC3vdFvyVHlreN3F4qE0vNJ+gNPxBMFfLnzMpTC1myusZyeVZK7S2F/XAenIaQ8gdkorbediDzJpP2sRvY//Fi+leF2yyf+NeSLpXn+Qm/cr25W0HZiTCp+cLKfvyPTNOuhCtk3Sfi5t9dUFLx24phTL6fLBYjKNmdvUjz3alOzYyo2p+plHDlxhUThtyIFl38BqK35k6Vcx0fW68Fq+6scnJ3UuZuO0HfptT37aSrDv50WWzfuDD1xeeBy/at+6f8+PXi2p5zo81hQabGvOyWtrzviUfgq1T8cKX7ejOJUsVXaWw3e4UkmxCkRtGtCue+H1T9ghxa2Do3tke1ivDPDpCpVu6S6MAs7pqJ7pnzyDP7q3/oAuOU5Sbjyl/8S7Ovi7+C+b8Mi4PPSqZtruviJ36TZZxOlBJNMF2yCCP9tIB8eFONwjp7b5JuWgFq4dabtU0OZeZvrr3zouTrvnqH8LWXGOnN2IJoOB253f0nfiiaCeZpKOvEdXSZv6xudi4iR0jZPG1yVP+SYVvqXQiIzmrsKnHzy7d++XBLf4l0jmLT6G077iHflrpIwBTxElHaTUPOkW0OLMr6PLENOjgHe+n4x0+3C3cpYPnrn6DYo0sMUpS2ynrAan81Ark1sqbGgcO55UnRTqL/YVC+NePpFptp49yidXZS787Hjg8ZCOzHC65uWKIWtL+EeOHrAcuYKKVmWtfcghNq7xlbbuw1PvvlFbXj24fECbbGlO/3jvsP/oFqbtWwxJRxaptC98MnTNCs2jd9s7B9zrGECNdzBka1wk7xhxFVGazE8j8/3aGB3txTrnjUZ5Jcmty3RsSv+T1MkspszNR345XvprOfXgk/FJ95dpS/3AHz7giAfXgxEHrwc6B646bn1Wpxt6lT3w9UXpqIPPPVnsOH3Iev9tqdlsdO9w27Kk7cjYPvxaGU7x0+TwUXk8yrpX5wVXbZ22Swbp8NMHz1eExe76wK0MJhFy1U/8j09jP4VDR5vx37UsHO/k7aBajDy8TlvnlbzW1ubi3p27sIG+XHQi3wFUb2yqHfykrcOHz9GJfNdP6aSshzkap8p38q68vcVoS+7xCgK+9rjsmjfw9e9//3/8z/96IKlfwW3kISgfBgvO1c+mQf9xygkuQtcACUB1Bj+KjBBaAnoDCQx4OR5zxITbxiGGuHB7Wpr28SypWuQYrDTurocBc8EmnYGh7+RgG3hXgn821OSpYy4hfJe3yYasJOawTpS3BXX1uPhKeGwDORvd6RtScmlPbK1/Nru3rWSAmhhWno4SmGP7yXHsTq7RB59a65I2cDXeVTeZu1K72kbHpU02vPluMbD+w0fbSbDKs+RmEzSO7vjPtscebL3BepK2olf2wUryAz89lsh87H78XHroBAH80ux0dNjgvHQt7Uuny5aBaH8x23E/0PGrzdNX+ilM56RLldH78UO2tXehugC9N/zTXByVjrMj03wo7rrAqlyT0KF/bIK0tsPvbKyOveRnfFWOk4OP7bYQnlhkg8HA8+RGaV1j4YydokQesNtMku+bclQWgEkrb0JevF34ybmkdDNp4RLILrpyjPzmWaxVW8NP42Lsou3pld5wKqIdWeGfmIMRZZBKCj3xkjJS+vDvhFnZUw7eNmsQJtOx8+RfXdrGbbae7STE09YSf7GZtmWLQRub+5sieelbjDSlUr+xGbqpH1uW9yWv13iTb7Ld+wD06BYVXZeC+oULvoe2cNJa3SvjJXeuexpwSnhyyMeov3cAXByVfNKBmfzojc/J185Gk+Wk09dYYckL7rRNtnv693SHK+nrYpp06J2ypB/Nldkbj/v+q6sJ3JlT4K0cmRNL56CADNqKT9arpbyDs+vS4+o9/O83bK22PN0m96G57uThf+bg9iXNPi1cdO91Xhq2pn3IdelSvI0Xr+FEtth4sGf+KemuzbXdzNFUe6SPXu1L24USGvMRGtNp5YAWT/wc+njvBq7dF731Hxi2OnTKNAleN7atXOMBhfyBQIMYhfMSV7r3dlfeuny/Hiv3Rjt9D2U89eJL7UPkogPv+lDhgKS1UXueGiFH29HSU/FH83xQUqqp3/F5kB62lMYlT22DfnQ+6cfxH9Yrx4X7kM4p96XN6/TDKR4+ssVI29s8+efbkm8/f6NR/+SyOS6Pu2tzR7Big32Fid00onFkcEh2NtZS5/qrjM7DpA4HkeGEj/mZr1db+cID0/GofMl7T+Nq0wucXFfbj4/Hxk7wRnZt6t17Rf6L3dW28a9ta8q93UrPxN20MaR9c9vsJpFBokv+gqc2ezUm2rcD5OIWjfbLu8YX51NuMB04jB58tGqDkFHHy5jylBWaDy+JH9G7H9sH9/RfusJJffbEZ+O29Qv36HfomHjQp8O67n2DkifFTq1kwuPQOLqccmlEl8VA+KGvL9fWq9lTK/jND6QzfyCei0iXnA9vxlsGe8HID5w0G97Da5c3vi68tpXbYCavNnX0i96+k1eO1o2RwZ4DiPK+YNa2Q5+uY/gceZJvf717t4N35OoHi/6uOeYhf0U/bVO4xNrJSyPJgwp3eGH30AaNfXnaRmvXXT148nOwtqfIRkuq7hc9ZYcP594T1IHka3MGvX+c10kbI7P/kT0As2lyeOWVsrgpbq4eWl72ufN7ymjYb58Y837WrPJK2l48BbTUEwv9dljWg+3r9d3Dj37kD0/pw6fdF+iXuyQyKB895Ecm7cdm06GF2qiv0H/YX13T58PQ2jB547Kkj68Gvw/W2S+8kp8DmDMvnDlzcphxZkdjzzhuW+TrE5y59J2vmQ4ODXpObPsa7foLow1t/O9eaG/vffQvLbChhZe2NBa/KXC9tN2Z6Cpf+cBGczZYo/JpP20Hh92UySLf3L8kdvleYgfw3DDc4Yjf/b7eDo9KI0Dz13jKN5ZH47RNzjTYv663+AduafXhbNzs4IrNyLX4Gq3pqd3cz870qaxj+d+aDq6E9o/fr0rKquDG/7LDRfyUyXRo/Tj+HHoJo1p9+GH2Kkgva9u9PYE/+Wv/xq/+eigXokzilHPjCYIB9XOWRHmTQY2QOmYT/psB8s1kAtnEfOpHGTkMNRNHy1cfWg3k9HaC4lgQyka66pXA3vGGr1t9pKrJeWxQ+5H38DrEDo3Kk/JZHNd9R6x1+DVkKidoLAT3dHcQpy6QTzCv75+0lwlGz/0GQ6PBPucf3HMdzDvYuzRYNjsLvvrZDKB/+PbH9IJOfGQ0Lx/M4C56ATpXiBR/G5yVj96tooPw1S4Y9U1nZXxAkHHX4XPgSuEqH1nUx0/f2Zzu7cBJo3fp0ReR1idpL4/kINmq+LVRAQoj7pG6m6zBasvLGDAhDH+D18Q9GXI1v/Rks5M0a/O6fHunVy7l+w3A9IDfJ54usoVJbA4Xzpk82A3W9epCcvpGu2Op+PNJCaL5iCwp8m0Khb1wlfuDnVdb4QJWvJRn+4te/kJkm8VUDr4EZxOuGhmW64+1C3Damkcmj8zGADWbMfy4XxdndzChHTx9xO5VRPxC86Ll8nqEHpzoABZdGz9fAz1lOZTKXZku/OqmY3R9bZ3f6xd19K6Fp7vbygUWnrhZDKAzWmjjxZ6BxTv46J2n3PR1cbrk1obP8Sdmzduetug+OGl2vrMxeS458Qc3+33o4hZNitUFPDm1G4f41+fkOPyWWop+R3Z1srY9b51/dKX/4C1W2eDEkbgZ76V7HdNdyf1pG9zB3dXOXpK+q9RCaFxzFFg0+KGbKjDRefBDMrbZazwP/mx1cA+d6lVIegeWwbTVpuSIbJcw1T1XQZKHStt3836ftulc38nLq/lkaaylfuJcfjZdaxvuXTkys/GuETu0Ds7dOlcFpivaZZSra1DonE3Foa+79k2ZtHQ+G76iIrRCcU56WC6M+EnqphAC1nc4m4cl79rOJc0nK4MoXkoHX1feU49cxEn7/WFUyt1gX3uTsr5ohOf5keLSycufPoDyw6O2SPnkeQtM2mOv4we+l2aj3WgUJv2FCc42tUnGUuqln9eZW1E9OpxLutMTTNoexlFlOD55gKf3lE9ShtvOq34uMtYGKZd20M4n4a2KrzPOkRT+xRstqSKlrbp3nKzem/P4oeto4I/NyzcXOH5W3kHvZNavvTz/21J57gJ3YDtnXbzKVH/aK2OQAlkZ2timyXPsKt3Tug4XrjpbbS45yEvFN47Sv59omJ4H76RDVzr8tB3+lf1K9KdjaV3z2bGfhJQYb/lSRt+Zy8ipfDcXNVDTlnop8snF9+AdXOm0N25CHm/wYMjZfWjWmOpUkY4N0Tpy3reFQKrDr18qQxGbSudKpwx3ZfRKBYm86Uvc2H960fXS5+DK+zQfvIvNcrG7eeHQ7xxy1Y9MLV82OfMoHvrFQfeEF1zHUPFObnyescqv07eCF2l4k3H4vT9L+f37/fh7/ZS6/DxJJk3e3YNMhq0T77tHHZf66KKtLC9u/OZAQRv4NpPl0rMwF31JfGl/5xCCT/Pak2mBsU8NzPu0S5NVf+6J2AmP3JhicPLKUdLm58mFNrz9/tN1OJBXv0GR9sUyWvuNL21WqErT/vHtB8CR5e5+rP1ssTpcVyp3OAFpubJc8OYvNm9qw5UuPOmMkerbnxrBT4c/dLyv/6E9HeYjwQ+d/1K5j51ClBYZWoOffk9oI9j1opQ3F7X/oq9++Ej7IHztZ90QMwcWy87t+IUmHmf91C/mDuzDdUc640cqbPUx6U7mIAZn9SPfaIVX8l7phKIdDludONdLVhzpf49/0bzsh05trB1s9WkpYHuNfpq8daMLf2tnYR/wPfacDljlVeT1SXdx1L5vfpjy42vD2sBvHKlf03Bpn35jigaTB69dyv0mR2RVr/5JQbt8tQ9pHsrGV0eH8gNcyil73bXhMXmPzKddru/0n/bDX1Lu3KS/897oPaR/yi59J22/efFJfujKtT2UZ3Pz0WexdlK6C3No03/lez+c+kMYTD2pR3Ih0Xm981ji9q/9G7/y6518U8V6gXYJ7AUxV5/8Sv2h8GeDdxxx2rVJU2jXXeCmbMOF4cP+4eGwVwShxvoYMPmlUxYPQaI3DRwClwH8oYdPEiNU2SsK9UmHp340Hw5w6QSVzd+kuXcSljVPELXVwJcdDLLye9DX/qSjHwL4noO8M6DqsPTvcduU67e83eFNZrRpo5dd+MbAJGNTsuplE+WljJ6UvHLk0gYD7cLUz7FJAuPYRnKTi+dZWHrFXAugsrunn6R/hb2Vdq7TDvRs1lKL6Sa57jPxHnLbiMyXJ93Tm11m5/tJqXHZ8gbe2Zy5pPnr0s8VOG2jea83mEoY255Y82OX/STn6o+xmvVqfJw4XrmvlvXP7omIxU+ayX7Xn8vY68Jy+QBfMlb+4G2MHVvSO+W+TPCxlREMJb2TPf2pdALKX2OrveNZuOi+mKC7ONr42mbIZmX9YJnmbAbIcIme/HHG9LOWK2toVsb4dgtPaIPzQotc6TYGhoNGAUrfmMBXA70l809jv75YGdLsLs0Wk9N7C6VNDzp0botMjfG0T68UAiTWFuPDrzzJz0a1ssjTTrcTcxpKJ327YuerTDZwbc+rOgWfyMjjQQLttT0fjOgl6+KLsJdm7eOz6p86e7CXqhHfmIg8tVXKEv6rByJt5CVB63ifGMhrY6FoFXI3FbMHUbxt7Ae6Y3fA+iplYQt5lWfju7bC45338FxMhw64+ja6m9diC/niAAheV8xf8qPWlCL65K7seF22PIciR469kgK4+TOwFyKKqnxe2mnzKrl+cnY+WCqFpfSh8Y1rzfVh/lKebLW7+pGtfJIXbmU2A1x/lPb414d3viPd4gYePncSwb/S8UXHYPD4tvVD4/SnHmqzbeqTb3SIZdOQpiX0KxetAgfgoqFtNIHMvk13/fBXB4tW81yzM96BwxD10OZ+NOGXnhi55iVyFr8k8RZUo3fS2i97XvDVlx6HR+XYWkHAO5jyPrIkLsxXyc+NA3rqw5tqQbhoJ11yjH6LV5+LzcXV+PONmwAJ7NFLqu7h5WZWGYD+o1tp5tJnDij3oGsmo7GPfpuDc8YUsTuP5K90kybrsdHiZXYdXXGC+N0eqfEZmnqTt63M9V03RpPork+Ovnxt+C8GUsj+InZI8/Zlo1+50lc810WH+A/ToTv5r/FyJ8506cF9JG6cB//ONnc0L38ptyf42vJ6OIbkUscxQnh405a+c8H1Atc5NyDotr28ithyKnpW9nf1l47/TRbZwUwOdmBf8tzftPbD7Ut/aXEPbXzGS73dzS/QlfPi39olDea8ozeZjjytJOFdfvDDq/tguNIFd+xFpnMvged9++WDlI2Ju0MK8RYSYnbzn5jYHgHps8+uPPwaol6sdfR/mPBZK7mW3dvuaktS1UY+vMhThmnvcAc6QpcO9+VKcPGeXEBDq/4i2ZK+zT8qs/licvilC/4hraTWUpafOVZMmT86h5TnfAQDfvm0efHiIlPHUuD42FcuL1aXTdjVU0R+JJ489/J2vKbA9ke+Q9f8SHZfh9PHG+N77JN0cJKFe9vByAmqt/aiAxx0crU/bVtb53updNGsCFW0+Bjoc7Gv/NhRJDRe02YerIzpw/tRYMmN5HlaajDDnVYVP299H9/LLocnD5zYBgdff6nE57Nfe9e+jr562HHZt7pdqfHOP4FRnq/WXlyyds97byOynHRkOGVaiPHzkxa6zrgq7/i+YqW9PKHmKmpSeSVOes9AV+3pXDfa79vOjixSmiW2Q7rtdRFNatFMh4EGtlfcSzq6VN/ATof7GFALl/q/fE7im5moNAtb3NkpLdVDHKiT68hWnsmbkt9RTT85uo4i0SZazobHB/e8oJvLFhPaTzr98MWqvsXOYA4NYTr7aR3/I/MkQ2c49x9Sn/aj65EFze2RtanXbkNvAv9Q3ocXvmCRlM8HJ2aL0pTabH/xpZ9Lqk4PLvEsnw4bn/L1z/fK5iR8pOGwgT6X8mCB9IA1hTMHuKyT5kTpnh9OwSsN/g9s8mh6wdzL9+Sv/I9+5dc3qQK8hL/qE8wgniOnRFqSPX56BBtDjIOSa048+C7lpuQzbiaNy8Dll7bhAIqFtWXiOBOb+gJE/X5R76YF2eRkbwBfBjg3id04gEk/A94H5bVYpV06eUopT8a10UN76EWmGr/tF59GxNEr0i9CYKVNvwlysHAGv3RkkOvbwdl1I5ugx7/yhx2Ytc/xpZX3HiSqVVSysk16KuOC+QQ+HPbz2HIAc4UXXQs7PqxVvrnOAYEJYLTxRD/l0Kw8eaELU5ou8590aJ128u1AIVU+Kq35oxCX7dlsMtwvHupHH9fKe6JvtCNrYLrRiZx3cGh6RUQ84JUHuqmfdC/nRSey3m2c8D+2TF/+Cjv45NWhqJddqLe+w+T8g41NqPvx6rvU9sVQ5WiT/tlr9hipY6/a49H++43ye5+4IRA6+6RxrwoTOvVjKmj008fkxxbdjCZ3g4YOTv1x4GKwy8aX+hJfnHzjyDVoPHPVDtqk9Xd+GGL5otdxmFfppwFcf/AWTN/W10OpwPmthM4PeYF/SDvFttfnsdMFgGj7O+HWlpM1o0lXwPg4sXbhr588wzcOyXBsfdoLjW/Sx49si8DF54IxJxjbiwv8L9uXF/D5gCCP+ttO4FTZ9j7e/cB45x+bKrJc8m2OMDftE7j6VKnsZ6PNdS60J59LQqPwaW857YUP3X1VqkAXHD05RRsd0DMHkWFx4D/UtjvGPHaWzT9sJZ/MW7jBJJeFx+IDHX4CE9u7b7zg5bVvXmDXTufA1BYlVNnAqVeutGqTGmv15WV7uhw5WRYeB5UecuxlHM7/rvomvh1t8bP5bJwueymmXBpJYHEo7as8mCXl2hSddJ/1Yv7TNvmV6YD2udG8zNq35qHdcnjpf/L0WWOncQxXN/0aYyBWRtU/7xivi0Zjplvau7ldGRt2UKKvdctB45agxaF5x49Qm0904NOxkH72Iv3skhQ8fY3h6heUyqRjeJiye8cBlKtMF7w3v86Gkw3M5ldtk3N9ozeYzY8PYRdro+fCejDmPA3seMZKZbzSZLnnDUs+3m2uPkfvI6f0MMbOBU+7G6r55T79ONzDNsncrvXeZplPrrjSXjh4F/6q1k06DfbQgjFQ9AdXzUvvvs98J82ml85w8upcFsCTS2IrYJ3325fyxq91azErTab0R6cdcpNhfSft5n36i60G45WDPX28UlurX7SOH6bvw/J0sd9Sb5u/tLFRn94A1mx4aK+NTsPnus1Z41m+6DaG1g5+PEaHTH425aGe1v0SxS0y6TtyuVZvd9J9PEml0wGaPzI9iHNtsxFBB38nby4qseXicHwg9b394Vt5avFce79LF7yEx7mO/OKILZoiY/8rJTMEhe/Ruue7eNOJhm5PbetbbOkbn+mkfNknsPPdkTHt3vN2ZJGUwTZ2BKWivlyyzdWLXzYs/IU/nvOh1PlAG52KZ31NHD9l/8EUL/mJ+35YE5zTJ40+umnXd5CT3l0HFdX5epnLAzSAJLWuU6HBHsbWxrEEN/bX1tc9X2nF6UYEVuuDAG3NK/TqC/yFfxCODZTPOnZi9jy13A/iqtLF8xpDUsd8+ncQPzo/frUdHXHZOE572tjxLp6SPDnU37gqDtyLT6vD65VE7qfP7r9m2ies8tramVL6+b+HXOyRNl00wNMTK+cbBB1bF00s5ZrKI/azd3t63VMPdrbqHKIG75JLepq1nCyNv7zwV+46eM135RFaxwbwH170gXfG8myRvLwWk2h0nkWy/NJYvYajn4jzz+SYn2KFK+6g4L+YW/1i5S+Qm6/ZTV9x1116i6/TF5mKvHSeBCPHbDCZUCNP1zltKdc+4VP7hkHhChuQyK/uOvTOdbGNHPtwq+1kQOcSSpuHgjqfXhh0PXpUb7Qu/ne0tV8bN3p2Xmjss1/sUrzQr4/wSb1sje/0a4eOUzru4mUiNA2eb8yJlSb52laGc29f7fVHgNgPzfqAMld/5cT40rBzRvv6ntwh1Ykv4+byT9oOH/V0gG59Mp6cPMPRNlrG8/gd3oMr+nx91dutn17foA//m0m7/z5c3wWxc64OfC/apZE+8dYxB+ev/Ot/7tc5oRMuwBpSdk2ilSyDz8D29aNUOX1gFuWBuATXDjI2WdQp0JNmbIUow9npPzBViKAJhGt9Sj3AqeC1RngTWpKfC8/3ueEHdbfYBGwBt/6TzgDQpu8ugAl1F1iTae0G/uE7Z0lyQbX2yyaX7VK49JsT3PRXoAv/yGcSvsiOVoqbGAajrZPBxQMaHpNrA4XvSgSLJJDntBnM4bcB65qsd7RT9tWUQ1NCKlirxyaTN/3BPzCSGEln6e5kVxUeB89343/ZBeXTjwMZLrmYfnYejfJMGr/JctoK15d0bJ6/xAkZtU2OwIzlbCWOSt/NRPpz+TTk4B2+uGB77A7pY/8zmgkPq4u2luhCz8oHM4pMv9TFLxpg9WPfvBxWDgw7TDY+lac7Nvv43ic6k7/wXgRIzqQbU+gNXy6m2BMJOktHD61+EwIOgNnKgdn1WzKporO5YAuEm4V+NWckCnPGoQ2FH+V8/+5ddf/0iV/4dDQiWYT40MNaMnz8+DYU8CKX+JwP5OfTPXL4mubid/zA9r+d3D709872uxaxQ/XcZPbRgZ+nAo3r5P29mlx8XXk+vqOcKRxa8NjnfReF2djNm7hZbLBhOccez7OBotnbN6GRpKdj57revzP/hLa4DB6/0cfGyau8qzce0Th9bFq5fJ0l/PpUY8fD5PLfbuhQOSvbJRMdkj2yWU/ZtkIfP2V/kLH8LuXMcyEkztiD7IuR6RjWzckBdlLm1TgLz6uNbmzt4gMdSv7bFDjyQ3LjcLdhqjziMH5/GhrhRQ7L56dPdDy4B57OnjTwH8zSFAbr4qcUksPjl1BbPBD0UWRPvJHofXQGupuQFDJWI8CdPhJ92KcxQoYwaxVdgJWTAIPX2UVflR1z6TtzxIWc/vl5fdd4EwPg0NKVi069EUy5/gzhzntBoUPB8oYnPOWOAeWRaJvHfhvvoXFi1Rjkq8YRguQKrHplSWydWNXfeRtdMpEdfFra1tw4mH22RoV27cN34hL/0HjEdpGemuWfRC+Ek9iJHANoU+HbnvJo+MubttpxfMleO5PXdclWHRO3ZNVaffKStukBB3K8pMkxbHgSf7QpqfQ79hZfaw+ntJ8bEeV+uGV+zrVPqANj3irs2rdBHs28BU423dgFj24gU68u4XvknIxLpwgG/yhb/B1ID7bxg2/SbDnbDn7ttUfgwY4+fiO+vtFjRS2Nk4uu1+J+cbKvaC5GJ/36evBKPq+qkvZ1JYHEL++RvTdiV78568QKu6G3PWcaYhc8Z7M0kDFtYI7MZ1FqGcHkhY2Q2s7NXF/J0Tq6378bfXgHll/rP/hZ+6KnoaL/PNndWCn9yTDadU6ppdK+w7NAmtNb3uQBry3Eu0a7CuECEh9dMYQOncyxZ29d3hdsyYMLDfaqvheecXexn12SfGC3tYJOqOATuMtvRzftqdzJLL7QODG87sgWG0ng0EPDe4speeFVguVp3Zsfxsd6Ru4rrq720qg+WSvFSXAa4+kZPh73ZakfHoUOjzr06IdsF6/FENp8eLs9e/asfdXX66KFvvI+UKZ/6CWOajPyBeSeP06jaQwc+emz8b4LwyPHXuwwG7INWdiBjSpm2okC1W/IFe6ys4TWobf2AH4c3cuRkyEv/WwxByQFlC6t4cXGeaFHB9MGXB8cs9nZ6y0uIMHMvB82fNP5t/oFD6X6CGnA8+v0xjc5IpCTgS0vB37X3qQISeyAIdpLyZWvS/su/FYmu25xr71T99W3PJIHyG8XqexD9unFJhUqybdLNo9Htvf2tpvjHMrv6fjtd+zd+p9HQ+vEgjlp+9n1vc9ew1qNV/lV7+258TD+jWvj9333VevXfi7ymYd7pT4x4W0v1f/+Gn3v9jJNkTOwH97ZV82X780h1rALonKZU0JXI73194P3yFY50m/OKFuCdI9/u70LXYJ07r/4VqzgyM2lDjJVOhZyzQ/oXLSu1PbUte3p6vmiYuXq3jI53cVz54FcnVfS0VhJThZxPPvZY9nvtGv4oX241o6pEYN9Ts674ytO7BMPgftzhKNH4fG66p2j8U0yfq7lCZfyI8tkw/sksQPwjBUwwQ2dzVkk8vXswGVdCnbx4VTvmmDtkWBwcmsYm6eMzvlwZ0Pvapt70sdu8HLfEFvvfol/Y6/gVY5QmoAp4iEvv9VLq+um9pST4/Uxe8b9RNBFJ39k6hjJi+XaHAT+A6Cv89sdDrqjfX+Rha/cZ+yfRZBne+zFGplwK6wUvM7HaauNLzlWN44XV9URfukcu7Iav+RKW2X4G//nf7PdmME5J8p1UMr04YI6IjBO7VNNeQ5BBKw+uJSG4ab09Zs3gUkw1yjp62AKnAOsIRYXPThd2JQYLDilmcGCZr8bf/GQCpeXxbuTT/rAzThx+xXop48uL54/70IlHfi7FH36Xfi0h2zoC7D1H5s0Xf1daC7aZPFJgI3BWeTA4+2TIIOIDbr55IK0k+fQL41cszuasVb6jowm9j4RFFuNhptjC/XkxKA4adDGL+iQ8b1DxdiO384g2PRX62G/SZs8HVnnMfX35QWKXLSsTIE3QSg3uC4/Sfv0YRuI2W8xUx+n7cAna7tJmm3hoICXduTIIB76aUxiJtHYurg4NjDAZ0t0L5+k8Ox5+lMuxTDr14Aw1RLYTnJsEt5odrHQT768lHvSXrGvuGiYGnDT14B9/+5j/wX48xfPqgc66R7fvDcWync4s5u+tFFST/LavymypdkAtWDwW2kk96QY2jugNm6Mxaflu0ln9N68e1se7GczeTZp7GRi6SFn6q9evWqZH/3gZv2GVuDu6oEDo/1t2h6nfOR79+ZtxtI2ZR/fv62NTfLPX34eGHTe5MbyTdWvz71M/h+zGYkd0Kws6evBWeros8X72BRdMfvi2XMzR33mwCSeiO8IEb1ymUtimbZR1UbiuQk/FU9qyfHuPOD3xdQjk//ayBCL4xCwEUo8kYO0+iye76ObtdxCXTPD/5SxZOyglyTmjE/yPn/x4vb69ZvgixE2ia5e15MC/I3/8+eRO/b5gD6e+kK79MLoydPnKU3vd4GRxOr8GZulvXNh5TKOngdu8/DzFy9rU/NFcRIHxuDZIPZTnMpFIZuv+ZscDtIdBKLz2cuX9bEDucUoPSbTM3aPreGQgR+fvYivjJfY4m3iAz82EcfA3rx+1bnwSWg+y3ypXSzV/CRix/gejWfPXtyeP3tZf75/+y6bwLQ/I2Nk78FF7BmaNoRvX79tnDzv4VnohQkZLPzG79uMCTkZWW83VuHKEYG9e4WuxP5R//Y06wU6WwvBs/+13jTqchNmfgpw57jaE9nZiA0pXh/ACB6ebPk0/rWRdyD7IvOHA+b6sy6JrNnQWKwlB/dBrPw279zIT2yBz1Pxzi4fH9eX1KpfgsYW/Q9o6ETG+fiaMwNoLu36YoMcmM45dCV7UvWmRuDg1a6P3ic+n5V3ZvzyLb9o2QNgAiRF2tmldfQGpwmudvStZbVpeJojJLbqmMAb/kimP/jmwiT24VexK47oAtB4AH6egBFT4Hqjn4bNqYp5S/sdfF7augFu++JFGV5jKDn+eyJhfm5eH5lX2MDNIDvCztxD3Pjtbj4vt8HjXX+nuk932eyKLyAP+BYvWXVhh9Tx0VcRIwd4fcGITR1WZ83RXl7rS8NoBtdasn3B7LxxCRce/6C1dUCqPyNvZcGzfAKb12xMVuO6orROtq1Rl306v+ivMqVDLuNCPFRea37oDoddrpvLwHauCsz5Ad9jn2MHiU9WXz/dDxy/JIuM2q65NzjUYgo0OmavPnwmg7kx81CAwJfXRV8qv+SLcfs88bl11fpUO2eT3thAj/3fkyF9Xe+3r6iNk9DtTXZe9RtrR+b65eIZqL4fnBCZYO1nEz5Amyx8BChv1T12qSZL6nwpkeOUpYMmbf0ICX5vPI+/bnL2B7wzHvBbvC/RDxyY2cg8dPGNHZpS7g+iX3vx3nyto2NlsSzuwbNDO0sjZux6oFxfRT6+xguYGKin82cNEk/HF5IyPPBydACDozM4Y2p7s3Y1NrqPScPmkcs3dcfmmo1x0jZrwuMkMe8gQ1QdmyPBfhufk6c2rkw6Z7/+I4fYwvwNfnsqMXb5rragu3ps6zexmiJndNLpxlGOMkuhYe8A1wtfid7m3NoAbuRtDFy6kN38b81PxAZvRuo/GLC3yktL91ih/c4+KUk81zeXfuh3n5yyJB+P+ZU45krd03NWxa8HkXRJH3pnztWWv66HoNET+/e+Hx9Xx0TyzlVkSTlREe44obM40Y+eca4XfWJOl81TlcNcFgaNtejlwy50Dj92O2Wy1bYpixs6nHlbDL59u/29D230nbHY8U2R8OdJ5dJOXOy+Oy1o1l9H5/l9+qWbTWJDFx8GIjzaU9k7l+Xlw9Qj//wROtGRz7UdmxpjdKvsic3arzKb4y87nQvltKVYeDme87v4Cx++vOLOWk+XztMX/OSpmpe80+sk/NcePUOL3sMdFHjIpMHnHv6bcNJDHHqwXWOWb1KHh2P1Tt1LvbFz6VV+YC75O6+nBQx7br1IR/a0+iobG1zzDzraSqZ4syX9lvPb+KIVzm0rrnIv3enPazpNfhA7oDJ/TR9Q5lM08OwcT8YmOOGAdmTEtvrRg4/yKhKo0KpHCyMfjHr1DK0LYnyqpnYxdHi6Nud0DJAvTTB731d/ZD6NLMMdv4695HQC3fWrMT+4h/ZbrC2h4O6z9kylfv13/k9/PXwDaDICQNKAdRJOyearN46IR6DzX1IqTpToRGiTkPJuMOdARn6TgU6j57mxGY8wtLlK2ST7PDcnU5ozMplazLrojm7ewwQeWe4DUvD40UKDtoa/mww2uAxetBi2gz9kDDZfNd1kcDaqcD5EjhcB2QHB80wadKB31OkAfRc9wDwLDZOzCXUn7xKDyzZp1B70T/ksJmR389fDhhoO+AYdJ1uc4bghvTq7AeEgNGzU3ZDDPxMTfKkDrTKES/zQyT4wDgoFwZs3O8A4E2gn3tigG7tg9sAHhcjx8rOXzV+/fl16ApnvHBBRUUzUT5GNT8jugIHdA34nC792A5QF02bcBH50RZdf2bWLT+mhcbu9fPGiZXLxTyf+5AZgHz2nSCQxptmG76JNZSPD0yfP48M3Pcyq7wlVXvLJ7+Lbt29nFzZajAUn7ejQ7+XLlzswwqfxvQGqj4D88D50vegBz0KqnX29+JXE4k6/m3j9z67DDImcEtsYI2QlR79aGxrs8D7x1wMlExl/EfzSrb6M3fndzT790K4EVx/YLgbVd4elIMiCb2ORzCG5p4wiV2zPn3xfnfLqfwYKjJufN4lHY+rR0/goen9ywPLuw+2zz7+4ffc7384NsU3B17EfmyZ+QiuahTJb8tfGs3jEkx0+hk5qlfX5s2zinmeOyBp+JvZA316/dYgcKLEY3Ftu3J/65OTR69vz2PnN6w+31x9e3l5krHz6+Dr2yriLDeuv+I6dHHCVT9rqzMjYA70aKE3R8V10+fRhBxqfbtHjyRbqj+EXywUuUuXyFcVPH8ydBOV/NCJpZAqVwL9Om7kscccG1VkMGvMZq7EJn+3G/lHmzPg5qI8Syw5q2J0OtX+gHz2yOWSrt/UF/nR5F7nexjYOlRw8iSGbthCu3A5fu8hsv1TbO3Tpxicy9DApHb4OZKyxt4Nrm3M2q/U7hYTP690c1TPip7EaOWK/s3novI5RcDISKn9vmtPgUFFcV1Hvka1P26UPH8lGzQcS4sKBWKk0hsQ837+8aD1LPI92dYndX7yIDpkHsO+hUOgbC8Jln7CJrWcd82zSMR5g41kMvnnrw4TEB/5pp6MyerONJxf4nywfsj5kLICPDy367/tpr0WdPSYjHzo8NL85zPz8829VUwdP3dBGm+c99HdzZh25Du2N3/RtLkuKrKlG30+Zrz/rE5fv3ibGerBoXMRfl4zd1HfOsFaZ4zY3Rf3aAI74xl+C9yx2EY+vIyv/wcGPb7thJYLYjp2QZT+H5WLQ4Q1+5q5u8hM/nZd6M2VgoSNmwBrz7LQ5Ti+dqde58k3W3OBZS8jFR+mpHPo7VpOevMj6dH1g8Kz7jHgg+qBoTLHB+2t9lfjypK5hGZtijAaSm+/OS+nTbi4SuxJ/W8/tB+wDzuaqdg19lzhqW2BFGlqs3ZRs+xp28C7mEvdpYxM2wsua6sAaqR4IJu94Dim20qaPK8kTwYp5uTbwKaSt8Ylnmjq/5irfXPVlcN/EzmxAF/uL039iAmVtHeepsyUd2542B7P9QfGIwUV3B7WBIcbkusZQ4oIf6UxYfq1b8QtM1/vUd9gzfHiucyCQpqbKWfqX5/o2H0ze2IhtUiYn3K6NkRXo5vLLX7nKgyzqARiM8YHONQ5Dq+t/0jb5aaJvyydGk9ANb/Hsq/xbPytd6otFe+WRWPztSdL59/zot3jnd/qQ4/iPLOx/EWhq7OGZtuqC2EnFmW30NV1lbY2h5J2/HtDouLhgtOkD2/13Y3A8TkzrJzc998QU26dH20XjTuIU2EJMkA9899Qpv8iY7pitv8kVmS91yufiq1b541MfhPJnedTu85d+vmI/tux8Rb6UJf3dE0bXwgZXXKZSWtV/gKWprK1zzOWTk8B3v1A5xPu9vvdxE1z8xSFZc3WPl/GuTIbChQ69ySVNT3vmrec+qI5ENQifzFcZwz0ci9XStnHUcEx/7JlXx0v5zq9do0pfTC2uq1dq6a3eh975WuHZu+1JR9qkHjgvAnXegZW3rrvRpXsBEGQNDln7QV3sQqeTqhVZIgw8hODsHjApepN5KfRCd/Ov9X+HKvXtgHuh3/FqMtSU8t1NdfkEJ3NPMfiOD+G51xODbMlOl80kfu8Hg+mzf+HX/LW/fnrsq6Gzl0MIOukTpxL76aeJcnWNPB1L1Xt87OEqZ6pknJ+ts9rmB/3nQxD7NSNvMiR+rv7SCo35fHuve99k7IGPHUWDb5BUMPvH1odX/dlHe/7QxZPt2fOZuAk/8QwTbbkPqpGzn+E68XWe+JE6bumsHDoSuWuvzA+V+RpLLDbVeWhxVPtVx3NJiw17L23m/zM/LI0PPLzNv2f+ng4+vD6JjpMV+sM4kFpOB4nQXx+fbLym4Y6vdzYAMttddqo4B59eae/4DUBka6wcHpF99xKbb4p5eFS+NiWBHE866QB3YOv7+GFjf6/9Ba8yoK0MZoTK7aIRUdIkXgc/2c3Zi5PxCUzjJjl6aSCL/Z/2EqFTY2DyVY8n8z829XHny4xjtPEaqfpVntmypHzYAodk7htCpfSst2csBLw65b1wm6/AXTY+ceICV7qLterdFDr/u//j//SThcoCAun1q6+7iTIAMLNIdvEKsGDop/YxAhqeqmofwwQCYRujOYVjn3bzK2i//PLLbqbhM57NtT687oTKZUKlGHwDZzwny9vcWDLa8+d7suJNblooBvY8UeamV3L4QQ6LFjoOVGyyz+HHZy8/K5zDpTPAyPDyxcvw8gl7dIu8ZDVp2cjbNDN0gzrtL0ID724UItjryNONYRKeJlfOdSNikWCjylnH45d6bEAmen7x+eeV4dTBNNAQTPvzbCr4Sb8bIrAd+IHtgVluHjxRxI8vX74obIiEb24Iz8ENmQLP525Q2MhNh4kTfD+5u+Sk725O30e3t20/Cx3Zehh0+Q68AGSrz6KHcORjssOB20GUvAdu4D57Wf2//Oqr2/vc+H/xWfBCdzY2YDLh5cUf5UeGyIvI+94wuTHdIYp4EG8dBKmTebLucA5PdunNUQaCRTYke0BW+PAyEcERE3R68tynkx9uzzL5f/HFFxkbr2t7soB7lz6POr94/mJ+MhbDQ/ySfbKkKX3aTHj8KDaMm1AJggVsY4t99mRLYoih2CE3+27G2YSfkKBbfYRvGvpkTergT6y4CWaTw1tbUyaUxk140aEbxSQHt42l6ARHGrWNRQtVx2ZKfE76wdGbHd4n9t7fvvf509uf+2e/e/vOtzMWIteH96+qi3H51ZevuiHhczJ8+CA+2D02oHvoPnn84WZofvH5i7QZp88zzl9PhqNGbGTyfdxPZCJBNp4mR08BGZfvPthAWhB2YwoFbU9USeKmT6qZjDkoNoRnfDkAxIvtvsq4fRqbm2/YC593799sog/fE/v9KlUnb4u1SXo0WMvBYReowIO9PbKpsiHYBuFNZDJP8Dsq7NTJ/OObylkf9PCIhwORPrwc1qHx6VFkevtVZMtYTZx++mS+zpwbnc7v5PDz7B17RA80xG7tHbLq3WhFFv41J4N1EN3FKW1+i+3xk5eRAdNPGSOv02cOipWziH9uzIdOY7O68gtqixmyeTrurUO3j3yVcmD5kl7G+6bOj5tDQwAdNkhnZUPJeHCZsj84LIyej54GJyb68lUQnnw3dDPvZ6143gMl841PuMWYceMmhg0yBp++SHNgYi8L/uu3DgZiMzbK5vdNxt05BOnhY8Zt1yZE41M9xi3mG8+Jm8gj7n3QAk6/tcih2Ndff1W7u2G0oXzMJlHk1devKd65xtODYvNF7NPYZo8eYKMveZqP3DtgEa9hGb6h+/zx7fPPvmicoyO++zULZgm+eXAxyLaRNmXzIJ+5xOMXX3x+e5a1w5OlZ2N1bvSeZWyGcmSwDonVx7dXb/hlvuNPN/7mS+PprKPjb14zHnbox9/sBG7xtnmncsVu9h/PYwNzszi19jeW00cue4evsm7A7xpAPiftpMt4wq8Hp8ZqcJ5lLq/+gcfnrI3mom6qahd2nG2s8ebGFy82t4sfMpJV3VoiRtHsh0XhZ214rD/t7Nm4Tiy5rD8vEgfdK0DNCw9jFP+25eJr8SKOomb9o2P7CrZhj9g+dTwnhthM3Ma+Z69CN7B0soafAz46dEwFcfPB7OsQCL1U27absd2khUVT1/jqbP+RfVniuHNpxjS4CnzB9WY9sA7Z+ZoMlSvjrGtuIql8AtM5IjboTXvGSfdj6TOGZ6drvaFnx2Z4JaF/RgX2qTaxR94r24kDALVX9OJD/jvrYuMufR0XwRMv2ur3jB8H1HCbQgdffqncGXd7GrOdheuHyeohj4QKmbuGdNyyXeAiAxF8QFh7BZZNwGvf107v/WAfIG7VCxeYjt3gasd7/sV8coKlf0ALr26NkuvXSA46z+/DV2arogXu2AQPfXQnZ+eGC+bsQ0u7baSYIUqDTKFhvXPI+irrq/GH9ts3+0Aa7917xEbGaPDgusxhcvFXeuHfK1EAjuxk2qEBn1w65toeP/YKTH2Riw7tTwpaedfv9jnJj87sQ296SVBqi8DTv/EWAj5AoZ+EXsS9Ej9s/PUnHtiVnKHpMjd5wp3+B54O9Bej6LuU7ROCHP6X3KDBhB75PXVh3NiTRv3OE6VxJxehFhdpXlsu9oLfccxkgaucGafdSyaG7BUQxbs/rcHGIeeDZWOzNo8vfACVt9T5PPNBDLH58MhLFzzocgmRdOwv0cmHnniZ08xv3aslTYX5rtiRuaJ5Kefa/js04V10q9ug8kJn/u1T9JFdn2hG1zbFfEBueD5o1H5igN/Nf3DYFh98jWPpcfZ558b+8NFf9NA2ZsWVuGx7LrkPCPmeZnixKyIy8xCY6Z1+vEPOOKVjY/rClybP7MA3bM7/ZNcu9vwkybFVrVl2dDEflkxophlyGqwjjx8HKNXZU7O+1NM4H02uYy+2EYP4PL/GYXVgk4Ari3W23ocRZCRvqCSWqlt40bfdF187D/PN1qLp3LFaf4c+/B9LXWuD3v32kT9JSX1N5pbZifyFSx05shyyZ0wfPSUy87cIqz2ltNWn8U359B3+gzEY+kecwlmLwqu2tf9Ht334Lc979w+dv4N81sfZLX9lhpu+xUt1Sd/0SCFVoj+k2f3AxYtcbW2fRKu0X1X7/+WbI7d+iPdAiZkqRWa+jgTtM/4jS3xWvlFPLO3nWeg93xwZzfvdR+ZFGjj6en9x8dW3eWXzPv7HA9X90MI/ub68NQbpS8baRokd0Y9ckvbhJnbJ21kir3/r//Cvphmde0TadKFK3WGDwPZUkE2Ptg4aAhlIFXRBgUGDvgJl4+JTkMBibiL2tMXL3AxjaKCAn6EFC4OgZ+GkiLrA2GTwxoYrCk3RaxAkkVvQoIWOFgPcRsxB3Tkgqsz565NQ0enI3UkluU2/yXA6eDKHDUInuttYC4TRz2Y0N2XdkKS9C1zmXTw5pQdGyenshtKTO71JSBs5bKITAbNLCnjUxfk7duB8izwcC1QnWLqnT+Kj+gnwlQwMN6SdLNvnb073pM3CaJ/qvXqVm7XoA1ayqeVLgQ3eU3vkMvnvKzUOaLJB00YPskcYB4I9TO0iOH/hG5DgeOomXCMLW+O/yaYgvbkcUujY3Fadx7kRceM12RrM+eMjqZPtxRuhM+GAZ6/CeGvbNSgqy26W+ttc6QuB9MU2vfkPncginsCgOxsuvtFB8FtffBG7OUyIDNGzixplkqZXIiZy8Ok205EzVwda83nARK/Q2LoW3zboL/5i3GQB1kLQcRAdGisBJRv/ddMdeYzR3bDMBhKcTlbhTeY+DRM8Xxds/OBLrtA5MkxXzYsbNlqoir1NwOdwtTGQ/ExEr96+qp9+8PnH26/96de3n/xexqub6MSBsHj79n1udj2Jlhvvx/s6YN3z6V10DI0AOVjrVwjME/3qYWRLbPXTt/DYJ9VwAlMZ6evGeePbwVEPRXzl7eMOoNny3XZCt6eBka75/pI99GeN+ZZe4NJ3/rNqMAsRC4Smg7rpzreViYKBb3KzlV419iSjjUg/KQ4SnmnYhcJdGOGLjr+8rk1YD026UulHR1zA9WkemllUHgf24znYF8OB5ntY6GFiAWbHwHRc5uXJo36N4YoB87Wx2KfQosX7zAO7CfY1zc/i9Bdt2wLkAP5tP0mtKjASo2N+xewVZ55My61A+JI3DozNOseRwxh2MBf4w0vU7Qm7asAIpWscR+TYfzrrdeNOt+IHvkOgKMoOesIjNtOWCAtvG2EbuorZ8eM3vACMXzrSaT1gFaboJio6WMOsgeYJvhfv1pm6J5cpAVF6sFHnmNBlXrzdOBnDHV8B5Zb+zkiE/vQxY/kTum6YEtPB4KNwSd1hQ8rR5+mTF6HriTlPo76OXxzu8NvWWEHWeagKPrm9fp2ba4eVDi6iy+YAh6vWqtfJt3Za38kk1j6IpdAxz3b+vnz89t0Pa54P77/ozdS7jy9u//j3ntx+/w98qLH5rDZEiLyRg43Q6NwaAcQXG9RojbutobVb+nxAIPHLYoKNje89vaENvHX09373d0PvXT/YcBNeuuzdeN9ajwP8fejnwC/rUvTVLnbYpf6oHTLHBg7tPVmtfTazFsLtk3nRc+t8iOSt80UuuvUQKkEKR4y7mQ3ZyGY8Xmtd42y2Ga4DgcUB3chkXum8Fhnofr56TS8H+PixFXugRZauFcE58kn2MZ4qQBNta0rpJIkusSDWup6lpfGZV8eFF/q56HPwtfWAiP7kLyQZHdDuqTy2nK7ifB/8uaGno/FknDtMPHba3GVf5YOu2Dqxjrw5xWFi96Ohc9ahYwtA2tBVJwmbaENrH2Aav096EAqeyNpci5nNPZ7+OYel7FHyhU8c4B3YjqM0evk9JIneB26HaqNPDvrxSZ+cScd+NzBSBpaPrE+Nk+IYK+nl8CvvjTG9At8PrXLxTdecpsUyPVybSzaHb9+TfUHsOX8OztSAD37qDm34trGYRHZJn/JbHyYGW1x5at7+Br09rYHnPjCXSiJvOwhSIZ0D3O2taheyRmf8HJ5KbNDxn/HlQxu45wkWOom18gj8GTf6+RvMIjDvMZbDEPKBbTylbC6IwLUH29iXd32ng7j1TQQ+D93a1hhN+W1kqv/SJu67PsaA/Dq9A8+G8eX6Ahv6Dn70dcyEvz21IcYndC2f8DUv7UMQa5Q4ucZC2A+2ajVWNr/m3ilzhTG1eDFm47vw3QdG05PNzGX9tk29Z9yIgekl9bCaUJryYhPyi/E3b9xvbd7nQzoqzs6ZN1MPo9ou7NqmfNYfv7VF7x7ipc8Trktbf8TQm66Hm+POmDYXsYnkPoudjIHGyjU3RKzSMG7p7+Cwc3c62G7fttk3YOgiJviKbMZh/RsZ6Tee7kd9kJvUPZYPgnxTaDfL1sQ+ddfy1hBJLNmjuq9w39In0doz36EtwZHUO/7oG/7WLvKfsTffgBdDk80982InlPN35lb24r+N38RyYsG+ZvNNKEU3feLAGOiaFxW2h9y4MH580IW3Nsy3F0xsRDcfWMEXE8YAwzc+Iwj8INVX4suYepw6/9nX0dELve4C2SCX+dHYl4w9NGaP2Co57j5g6jxn3Bev4B3Xndsqz2KmZZs0sU0P/kx79zXkyNiQjn49nGvDRTQJHnor5y2woPlAYX7cmO3YB5LrJLT5rOVcd3JEtvqJfJFlvglMhxxdr7GrO/3Fq5xMfdnwkXXNN6CC1G/w6DcWyba9UTGCS040pMocmSpXmuSPr/lODJSXl/mv+8nd29emQeh8d+mUQts/1R9hi0WY9r4/eR/AyBjpHire1lY58CBcEPawwvTrt7jSpuujid19W2p+0gdOogTT6k8PcVwytVEKw0zf5GHT8iOjdt0olqdmdpSfOtuSHUzoX3pW9wCo8kfZgM8LfXbZvBucjINHf/1v/MtlhWAXuKRt3IKVJNhMhF24u/DYaNjM68eMkQm3zQo6CBrMhlmFTJ8J8GMCwCRTAa+2LoQCIAJV+HMjlUmSs5T14wWn+oAPrLSAWZAaMOQk2pGpk61JJUpDMSFzRje/wUVfe/kEXjrlLgxkvAbxw/4DQ34GrWPaO5tXzgcNiiyzF0ctyKSHvE0uboLYcgvLrpMc+NwFVHjqE0Rk8Em9iRSpLmTJD8zssmAsfgPmCrAUbWiaAtMJr/LN5v1EMAOlG4G0L3jCP3BH7k7W4aEPDRtLfu4kEga1h8EQfHh7fDk2jZylEbTJjh68e7tY+Mh4eIXI3YTsokM3C9GhvsiL/bbQQECn7+Wnz8BEBZ7F9yxgdxN20uoWiYt3BhtCnRTpmVQ/VMeKVX6uyl4doYMlr7geXn0auPqDstpCZDFpsghW/NonWLzKGxT7WezFdfrYtF3sYDylPwI4nEI/xCCVLl70oDseNjBn0dAHnPBgtPJa4yMV3xUvTMpw3mSDW9RM7tnuZJxYoG+3L569uv3aL7+9/dGfRlPslqhKcGcHm3DzxmLBBj/8QmvjiA1Igq/YnX9rG81smDFgbKSlPOX+2MOjzNG0dfZAd5uN2NVTOI1Bcw56MPkB/Wob+CLkb1d9Y4LHOl3mwrtFJfBssh9s1xZ6fHPoVA4whElf9Yc1GckA7sxNXcDik8GAIiP+eJMzfNoWmhctXCo7x5An8DZFXVSxJwNqqbBlipVnX7WUaih/l8wnTwNs40Efe4Xb2fznrbwnF2kvnZFrD/3Io9yRh4ju8M+Yy4vc5jpzHv/2ny7UJsVOng1Uxqo1Whyhz3Ltjz5zC7teOIkLT2R5AhHXLerzS8uRI9vFwKDhxmM2rNDlOzvK60927uZicldX5BirpMGF06VjQmH1JHExu4ReaHvKjN+0sSSBy0st9jhxbh3TZ93p5o0Y3oiaqzKmEPDSotZ+226LeyPLetCv4tJnNNuPXiA6x+VFjPfXXNibjPSv79I3126S0eer9MUXPlBxKPfm9vz2t/7eF7d/+I9fkijQs/k+8LEZO3Yff7TVbRi7OdOOS22ffnNa+JDFU7qVu1K4Udj6wC6lpz1/9iLGTefTNIhPeW2c5AZquuAbHyWvROxSe06ufT1mdbDdJ5gju46Zq4KVv62Bo+jFPvC0oSO1N41ioPNWbrCsE7OvOS8yBKg3D0l7mi3y9CA48Gm3P8GrYzZJTrOlHUY2Rpuum9OAsq2DTQzI4OYhknVuJAsc7XD4tdaYOldaxdgj/+aoEw9ytr/WPeMnc7wG3txvC6KBPftG/+iMr5vWfnBY2rPN4cUWeEwuF/vskuwZEVanseZQTz6L8L3r2JAfareO5cW9wzgGXJwspwMYPukeI3Mqe9WPZA4N+5zaIGtHbZWk/9iw6lY28qRYexm/8+1u1kfD2tRxkfExbDEQWdj30nd2QfLYZTfM6NmHgWcr+tEBHJrGMXxxO8qRM7Hb3xKja+AKm36xgI8484GGcg8UytP8MfzPPnvRQx3XGbcfroMJT8iwQ/dY7bvmzPTVF5Glv50ZuzZ2qwx948P0v3uze4zBjuexg4kdXT9DIfmGSQ9rU4bDlvc2nd3Y+aR+QF776+t78TYuQiPrUmWJH548C73aK1CXX9CuLKn5QAZu6cROnhyGwd6AHU75mRP+efEs9oq+9jc+pKx+sQvYQ+8c5u4giD/3EyJgvvf9719zwQ5Ceu+BX/l/uL3O+HrnJwUyCp4//yxt6/etHhOzPeLz+Na3Tjr3R77eb3V/lf7IgDZ/NnZyOfxwOLP6DtBYAx928DumXee85HSKm996Kt/4SepIDlLHesrsaT9oHa6eGZPu647v2SfCNPjhsCOeqXZMVo7M9SjTEQ4gc615EWp/asdilHb1ftXXfal5/JLF0+5+dkYsvMt+VUz5+ZuAl0fHEX6Ry1hBx083ODiy1vWhgjR2XmkAyBf35gVx9vbr15HvOmxIbs178eLl7VPK4tbcwvdnfvONJz6gn7gUNx5ugI9nD9+TYydO4oK2ewhE/Gw923ovPU/MoWMMhCWLtV1a/O1+96tXX9eW7LbxEHmUopsnaqpT4N683ocffvoDnA9eds+8OFY2dv0MkaTdB1eeqPXhqwNFgohdfoDj3GCHnZOJXsaQMRIBOq/BOfdgbC5GKyPX5+pYFTel0abyEDnWf7C0P2OZPnTz9Ut4xgJfNGbZKTLQz1/n19TdU2XkX/GGrhjZpa3+0BdeYrVnHPxOoCvxQ+ewMBEr9Gp/cMWYMUUecppT2QF/++ATY659a0I58fXoR7cXT8WRb9qFZw+XJiPO40f7+dV9F4U19x40QBNxc+KMesmlJU3bJ4SG7lDig2hdetWpcMbjeOrvXothJfXYwx7noQ36szb6sbxStb6+fROzJN884rd04bjPcajW9ZkMqdsrg+0DGZGPtvb75sV+PZ6tyR0+hTPfpNDfzAxJY/CMRYFJd/FBS2VatA4YpcjGt3twY7qZw+i7M6uQ+V/+jX8lOBhTOA2XLRiK8K5DSNpNdzaUITi8DaDaqm+CSvsWOHQbqCVuM5G2ELQQYYa+vhOYpUCxtNnQuDG1Oaij1lUYvLtATLjQ2QZUnYG6YKuTMTiCsxOqAZpXeq4BugkbLNX1CYwwnsyVYwPXwijQJwejb0BBrBxX+1UoPXLPlrNfoUKzT/AEoBPEhbNPDgSFGqKR6Rp8Jo8F5D65AYc2G/cTo+psAnbrvkO4cZtc6NG/do5NwW7DOLzyKP1NeEcm/cVNHf8uNukiz4mJ2u6iU3sk0Z6VldhPDf93DmaVA2/BgFP/5zrBW/jkbtK0n98KO2m2nixg8QS/SdCkNJuHTXWVN96Sps9Sb4zre/KlPTQm8+LdLWh5+cuFNh5dJFOuPeDUVPC2AEpnQjd54S3eKkjS+KmiM9nLmQ0w6h9bOGRMj0Ofyk23HZR2MoCLUmDIy29okk/a5H98NP0l5Y67lPmAfGihcXxo4bMBohv56v8Ltz6KHE2eAtrpXcZTNpCPXt3+0p/9dPsjPxUZPVGWG5LMIrW1ia6bGyKzOx8l2UydQ0rX4dHT/cAe2dm0MtRGJtdqr2F2qIw27WSju16wi6dDp78Fljp6G5+pxlZi5uq6Ymy80GbS+kZKfny1psvOF3+fsmxMTAZS0LuxGni+Y4/yrHxIkg0f86GmEm5a7BKAf2J7uHmB6FyVEpAz5uvHtDfO0l3+7VkBfbqzP7m1n7jzRlavSZ6YvxYic2hbwuvMJZ07i29eWawdm0Sq6ttaddUXyimwS8RcHZ1U0C+Dwm9Omlxb9Omlu/E/hxSvv/9wR/f+8tsdbS/FJO2lwM6Yp5irdkisDfBAjHdjJanxkI6Oj9RpynYd/6n1IDYg8+3mn8oONzS6gUu1vkzhrHsg2AZPb/iwmzhoa8bP2nTTn93CHZ20oilG1XzAiU555+X3RTsXpk3q12vEe9oaI7kqQ2mFMv6pszZO+uF3s4B2dHPD0qUsOr2Lzn/3N753+1t/7/Obe7rz1cr5Npuc4HAT6uGYtzfZjOP7LLKKf21bI3eTkxjLZsdTcNUtL/KKY+u2rwofm0po2+ySzdvWjSNnNjoh36/oVYLpRk/ZypP1lDsf5apt0r6n9+DWmiwyX4U+XtB6GJIbrtlwvvDUgnW5Yl2v8rrsvXFnfGpOLOfmdofMLvKHXtrV3HiKcfbeerUbNbCVsaQ9uebpg8jefVAIi7naN/oFxk1PmkrXTQ609x/ehrd1Cp3csJjvg2MeQSsih0fWbDfUIdINdto9VdOYTD9eZOIfT76gy358Rjgw1R/vRJZ9UOdUtpUyRj9k3cCXuLFGcvNyeF5x16e28qrNGg/zkbRP9c1LbKvl0sMrsVpeiET5qDIac1XHoBs3OqGzOdgTlrtR9Q9T0CMz2O2XphO7GBfjaTxv3L/PGtzfoSwcevwkYwMyiM3R6NwZfcwNbKwOrnE8sn1j2xaT6MUPviKtbO08cjNJ59nKxT+BNebZa8hJm0fZ0zpJ3tlyekqNnyaHcRlHceWZ345P2HUQLGWolXhS6EeP7atSM06CYxbqeA8c/X2TIU3lvXFL7kNzF/v2yaX0VebOg5f84S8XZ6cM3oHG1kRjanFivPZDoLaGdtq7Nj51k5r9XKQv7pMI3Pxp5yPzGUnQNx48ndTD1LwaN5kbjuzllzJ/eOKLf/BhX/27brfvfOc7tS+/6+uBqHpt/qk/ZYJXby7T9LS/x2oM2HfOb2/e+Zr/bPXy+ctreaTFxo6+7k/zetS5ZYeu558A9IAmehpjDp14kG3Zq0+p9gnRzfsvP/PzGebD3P+YYzIGdoDFCmLTzSx+iePutSNH9PS0YgxQeRzESPVV6KfUuYlv5KURfL+R3UPHzE+e+CMDehtnO/jZXGT8hcn+wp36So9vz198Fjniz9jWU+JdG0NLr4PEc8/34rPnsUP2HD5wSy/f0aF6RWZ+IZfYUfbtlI6pj+/io+e3L3/0VbCiL3tlbuXLjZFHt299+1u3559/Fhu87rd8fNjriVYWe/H8i6B4apnfxb+D1vQ5CPAPtmK8D+bErJPkcQDZdSm4ngaU7xtfKfJchlTHW+rgNyZ2nyKxufm58yB4c0fmN/cVokm89/Ai/mVz314iZ++bAhPw2sTvytrz2e9/+PAq9sWb7zK+AioGjBk/ceLDov4OrTk8vn761DyahE5saZ9HPv8oiT6LPzpm7YyOPrR4+UIcmAMyt8YPn32emAyudc5hsz1C5++MUbHtUBs9+0LxcQ6pPMlqH8jOH/yESvrR2Poc6eILNvYEv8P+rt1h/EX8F1cmGSv21vOHtV58iOt+aFsbbA6+t39mO6Ztvrmp+5fX+/3jxmHiRX+fXgQTnmKNjfx2c3+H7s2XkfV3bt/74vcj0+/cnruXik7d/z4R55vbpaClHF96+TZPYsQBuJ+dMZe42KkxAzjKVQe4LMFm8b0xNLnx2nxCB7Lxkfmuc2Dq9iZkQZOO+gRDPdlmnl2+n7OZrJG0sVV/ZBzU0cZOpUmKfB8f20uI0fVdHSlGvrDp/rI/XZPgq4/oHtBiRVewhLDpgZ5MtV+tT+GTJ/pSb5xfnR97SMcG0S/8H2c92DrHTsc/uWDEPo/+rf/9v5r5jAKMniyCM4RUI19pC9+V0EtXN3Mxwl2QpFFA9wDBZgXcJTlmrabejUdgkN8Nvgt9BiXwNYnBjHMWnJfT0fKOXwzRzUJeXSwERGDQP/D4mrxiicp2gs3g6afK0ctmBNHaOfSCVH+Rsd/1D55+Gvik6Wxe8STSbMP4c12BESgp0tJzOh/bFqw2v+yXy6aUGbqQRUzyg0ejg/Oyizbyay9cSKV0R9vmUXm405ecJCEfkeg0ugv82juXBUfaBiSp7Twb+TPgexOY3RS6hx96E3x4HWBspjn1Oz4pO2dpio6H7/rRuW+rrZJ3w6CThrXL9NHCBt0EHRrtIcqYHHpw7mHcPEz3wuSq/S7YFDIRm3To2eqFO/zZzUK7djiN7QHWd8q1Wa473vgkH620VZLxhSOWpdaLDzY6Vrjh5r24NhXgGzf4SpGjspTqkq6zId54m11HazEweYZz+DZFJgSmm4l0N1SV4oJhhx4MZHHKknj7+C4bnE9f3f7Sn3l3+yM/Y4ERDzZVGV9ixkXmXD7R3Fjnj8gQfuyFFyZ4dCEsz42RynrHf/Yhen+v6GoP9dkgbfVnY2Y6h0RS+IiP4tKd6S762rFPY/2gXR5746jzLCZbNNAYLILeNbP52pbQPunosbFMmtBsXa9RBje0OjcEL+30XzyR10Z+88jmm/TnDaZCsKpP2/VrTv5QHnr1n1ZoJ4G+di9XZYvyiLyJkuLPNyGY8oltGyrc9B2bSPfwkUQMpmtjxaZqNjD/kTOFSx+xdg83uxlzgbrkuiukqXBtmn5ozrZbl/qVudiSjKefPJd1Wj98+o9sAq/f+lGaaKcYANWorpKEBhJo88tFr/bQoV93XmLv2LnzTm2kPNmL2Rt3sk5GXFCA02kB89T7Cb7+Sw7jr5CRIaIEbzIcOtp2I4b+eKB+55cKiYt5hv0ja3zj69NyfeLATXbl9wSDg5eMd+Ps0ePnt//vP/zi9p/9HU88+9Aldjfvo52o8XQkeZn144cnt5dPrB++4h3skO8aEblsqPeJsIOPjNXwdChFPptjCR3y02d+T2f1me/YwLydxt4QZ/ap3m5k78ZScJ/kRqV8wrPzAltGn/7ThT6h4ZpN5ovh1uap18f8uGpsoW129fJELjs+jZ209yaG/nwVuuzi3ZvNOrk7PKJLCabcJ2TwvvzccRKbpHDBJQ5aDjV7hiJtrJDN+t9PuTPG0U9nadWGgcMfNfPIWV/rt/ScMQiCD4wjckICy2abr2NbdnCAkDaC28AaqrFgaZSPD1CiMz+zIxqNSfrkT1yyoYOucM8YzN6lewwMS6GxglrXIDepeTmk4B92PXHdcZw2ZiRDsfBNbk4m+9G5e8S0H3pnL6Hf2BTL/TAuQHDNl72ZJ1ZkdwUslciQmK3sY3gdBi5+m9rhBkxMXPEbpTYfhCYaYZQZtKB9AhPxVOxDOh8lnXFenCQ2FmeLVjHi4O9d2iqYlsVAYfkV/Yt/56ETz+TZ2OrBCoNHJhBsYS7Am01r18Aapz60gIuGKOwBVXzGTz08Sz+9erOafTN+TCjtaaQdSh4a9Wfa++RPcLoH1B88BwbSGbMP7UikzqfaEkeLeVaZjmi4aapGbJCbS/TRMTZ+8gef337xj37n9vjDl9Hj/e2zzxyU+s3RzCeBdXvUGHvknw09ur3KTW1jMR3mnB5+9BVucZCDQZzJ75sDXReD3wOexM3iwDq4w0t+8pRUbyYRueVG/u3nke/p7cWLr1NnS9+W8bMhfjvRU08f9tMWbB99zz9dehca3Rt+UA/d3Dzz1cf3fsd3cWke6FOW4cVfkkMKOrqIe0VY50SH7Z5wevPqVccbei9efNZ48URX5/HQ89XsV68cbuFvzDso+M7tq9f4RN5nkfXJ2xB/lXb3Q4vD3U9hZ0ykPfZwgPTunfgMrejvUMf+0iHUuw8+TDfm3gYya0pkfPvO3PB5+vYPzp4+8zRu/BwbbI1Gf3HyLPDPnoV2btzdG9Ze8Vv/S7ud7PvY58mL29evzQeZK/irc2DGx7P3t29/+2l/v/TRIweLL29v30fB2M0/bHJg8fm3vsjAdNjYwOl87F7ToZHfJP3Wtz4rLbAOmTjd8mCI+K3S2xO2JbcDlK87D591kRJ8RCO/ZycZB31qP3I66NP3wj9/C13x4RArTKL7s9u7sHudNfWJ396lUvqeWE+yRX/v5xoy1/kv527UGkt+AqU89p/UHSi8euNJSaqZszeuHVAZDy8TFx4y820SsWDv8yK+XryHJpEfObC97Jr2jlex6YN4PKqj8YmOn6TwFdr46Bof5uM9ZWhejk6xYUCGq49wSf2Q6LGfufAEt1PAzbGbBxpl0dV8tcM88eorvz7s708iJB64h5nfvsXDYZefSojcobFv1phjF7+eQFX/7LP9dnn3fXI+yJpw/9RgsGNUT6FaA/ix8xhesYef5/j49u3t9Ve/c/vpn3p0+6d/4e3tWy//4GYm76E6fyXuHgcnHMrbiBUe+G1MX3HS2I589NdqvNVG1mx+Na867DRm/DzCDjRPzKCxr6Czv/mc/NbezdtS92SxfdeXDjR+sI5EjszXKbTf+ok3v76PL81lnbeDMTnAJAbSBsZ81nU+EP3tYbRybd4PWXqGofj8+OizQMUvFUBcin2EUw8uuc880LXvevrYk/Ps1bHCTo0+a4R2NgNLPjzBXPO8Ke9/8e/ua5t9HDMLCiCT4Rl4yoJgQQ5S8M4wnL5gD6G8dZFNuSfUmBaH6oKFsJxvIDl82GIp4emTf2KZpLrYJD3sPwdoR6YurGlX74aoSg82mM17453qNg3yhRq6Z8Kug8uZsRYsRzZBkYZuKM5AsFF3Cn13AxjM/pB7dOzNR/Wc4y3kXVjQD+z5KoZ0Fv3DH59+dzuO1HV0k5TR6yJ50YOmH36DIvR7aMb2HVxVPGV+ZKvZvhvXtKFZ2IBU1tAV4O+viad0AwOWX9HbJhkdaOSeDOhWHR1Jk3E0Dp3peR870h39y84I60NPn6SPfIcOOfrJMn1SPzZAd3Qeyp5y/EHnwlwbsPF4EN/wrlQdiBf6fC6dwyoJ/NFz8aE0em0dSrO0PpDFOJjOm0h8grNDztq8g35x0onoIqYc7NBJLRefsQeZCxt8viCjjbb29qW96dKVHC4JaZO2RB+fRAWotKT282ngu1lNAxrmB/n8Y3z4ZCmwkdBkGCFuXzx7e/uVP/Wj2y/8Uf+wg02CX2XIS5b5NALUN/XFxbMypkAfdbqXAZjI1uoMc5dqK3gpk226j1bto01wBgBb7cUrf35H78JLcXkZZQMX2JTZYjCbcyw0Z44q4yTyKbrgHz6oK4ulh+1kYh98Kv2aIxOM4F1xyUaVRxvwiKzejRS6YDLvbFzFrFeMp2Mw5qXIzd8XGUE4uwSm81qa1iXe3GRIeQ++TVsPVpLrx3u6i+vNyZL57MRP5Uozf+sf9LgMPrjGUUHFF5mPcEvHVscvE+eKmbQVvDCyxEZkNZ6k/j4JfvnbvFWjQWj/8fHZOKx85hJNx+bJQxe/rX8po5E/9itfcIlJedRdnssYhcu+aJs70YZnPONVAZMcDjYS2ycXS2zHrynHttqODJvL0U57MI4P+E6Z5I2v4MLBa1/tnLyFL85kG772zZMR/I5XiWmiZnI344T9lM2HWP0Hv/Pd29/8L57fvn4V+NizfoZDliA9+mQz9vT2/e+9z9zw+7cXz95EUE91BC4E+yRb5fJkwPNuXvlrG8pPudnIRjSyvM9N2jQj7+bkbjSxwzcbeT/SbIOu753/RpuZ6cUL+NEnPmLV2xNzbubJ3KTT911uePx31aD0g7GHNmA/ONoknxJ7YrwfIAVk/+Fvc3g0bZx4Os5N0jm4shntPwEB07GVG6HQ6Bodv4sohyXsVr/W39HLfB4aDdHALmYd4PD9YLX1k3++oQAq6eveJDU/41BB9denm3M0LYVunSleyBOY0oEde9E/xMGTX5sx1jGbVw9/IAe8a2WurhtkzevEvVgY7PRk234Nsk9f8Cr/pTm80GE7vDXGGwQNTWvkYrJjKNf7rJsdn8Yf6fjDuEu5enoVnY1mr/JnZ1D+yJ52iZtx7A1N1roeJBXefwLPzWiIicX6YuJd/KNZ2sjzcJ8qdd1q7IVjmFX+tDXGyAY3F3n7VWW0A8OG4tRNHXjtPWyFGx3P/INOYzZ+x9tvzt0dqHrv2GC34Md35zefzE9k3mHTdOhazzapS3h2XRETZJWIjV7o8x0bpqHyw9e3b4qElvhOf3+qojxcYiU47FJkxelX+/QGxvgera3793BwzG38QrfaDS8wobt1kJ/YH5RDYGPxkq98ImOE8DuTX735g9t/55ee3f7CL+em94k1TvzENqHZQ+Kbexx7djL6cAFM7B4odtcGVjKn0EOMnH0+W2s7+tXHF3x/I4tBIjrdFCpfTbA18dGFh18K5Ulv9j/8Uwg/SIFCji1S2NMY/OzDiT3Bx2fFBxKMTRviBO3Zi3W992cXQoNN+bBPnAbGwU59Y44feuF2yLpvgJS+mIhN4EWNwdMXUuh78SidO2dF5s436DPCJSTZmId0GpAQFwodj7GDBL/zTdp3s534jR/oDGf7h8AGt/Y0F/ewli3n78ddR8x74vZ9D837e2hhtwOB87RmxlFsOpFODBhX9Fhz1+PwEQP9AIoMIYzz8YNkDRF11ikHcn7D9Mkz97y5H7/5EMShzqvw2Xzf/UL4sbW1xgHc1gb+3EFQD0zZPLwdJvLD7Wb9Ssw59HvyvPolOqNz7kufm7vCL2FLL2siWf0nezR9vbs6xsaPHn2W8pPb11+9u7387FtZy61V+8py4/zxm9uLz7IWfv2ih52Pbl/FIMGPfnt4LutSD2CM881rnnD89Mkh5PY8jOUf7e2/Xnrq7vXtc0/zZV6m+7v45PyDua730UWcnrlETDggdODVp7cTg3vCO3bgl+ihzddPrb/Pn+K/D574XKzx3ev3T2+vXn92+4M//HR789pDFZ7kcg+KxxztPIBd+oGc2ItfuzdBQRymzZy932A158ambBnczmXJ8S3cwvP26kdfxjg/uv3pX/rs9sd/8evbd7/IPMSHfeJKjCVme4DIOq70tR2/xTn/NZD1Br4f6HR44Dm+bOYfUXT9t58P/saJeCaLsQB3enR+C57LHFd7hxY2832ED7/NZ0nohiY59w8fxe/sVZljQ7zRN77MI3SAV39Wn8mrWRz2wZb0b8yBzTuZyy51s0rqccGMmabG+pGJPOG3uXPjERHj1Vju9cmZzubnx0/pLS59qFwu3Z88+ut/41/pByKufnIcBi5IPY0NYJ2qlFzqhodSV9sxjpYjoAA3aYDro7Zp06f+PoqAPhM2o0fftFwvhgiCjRoZzoIIt7DoNzh2mGTwSHAqR/Fn3H5tQznKg+8JfoA4Ho1+wp3EjqOlH7HR4+gGhRd5E6D9FDl1k59FpU7mjCDQVRCgo30ybzE9MpNHMNg895NPxsnbufFFowdyDRpBZGIMvegFro96cmJoGyTQJ9tJ5CUhcLyAzt7yjvkigU1KhS49lEq/wW9A0LkwkR+d4kKk66VL22J+Oh4/ySVxYbIDU3i0BV1e2Pc68Oim/yTVyd7CvawpmMxF5LHvfDbdMiavtIIFHY1+mn3f2Q1h6afM7ofXodN68sZMT+lXLq20B+iuXt0Ccd1qtU36lH6JfNr4kczFCw7D8XHlhxsbdgIJjU1m6LOzzZIJIDGsP214VpbAuNTJVHuU9oUPLrh1Y8ra8PNfb7ShcfepFr3ABsHTG+BdNiVSQK+cnYSFzVn4ZLJ+/Dy8Q+fzJ69uv/qnv7z9zA+iUXzt07NHWTQt/L7GudN7E1QIoEfOlNEhZe2X1yQBVkbNj13vy9N3hLTjM/q1R9M19h74uxM0bx06pXHplfx8DRBMN4QdN4s1l40MtJosr4gXn02KytCc3Gx3L7d314nXLm5ZzbqRAhBaQLsAhE4XldTLP713dTTz6o1F2nwKR0exgoY5rX4rzmJP+cxRKn3SJ8V4uDy1gcHJqxgavBXfONv8IFWWU75sPX1K9E7GFAJr7NtI5kWuwFWm4l/jR4yn2kXvoqc+cXUoT4+Ke9c3y0mbd88NdfQKHXaR8KruScbRWcTxu/dHaAXmyHanw4XXFPjJzf8OB6JPuoubtLVn8bM6GjZHG2NGsnGOP3vd8bpsd1cv7uFh/lk5lFe++Embq2Pf0IW/m/5BEqPtofXQZ6ksfkOHPU6ir/g7vBqKXvBysynRyNeB4P/WH3z39n//T57dvn5tXnvSTW393Q0omZ/dPn/+9PZL/+zb3Jz+ZuaI17cXz65YIHdo8JOvZ9Ue7BmZ0DgHUORGD2dfF+k/miBYfK/uqxZPPVHGCoHz5Af4Wjtxt6cqjINczmCqLtsn+hMv/pmJ5TRg1fddNtyeAOh/9b69zIZfjAYpcm2csaNYS3vwzRHvuwEN/YTu+dpTN9ipu6JU2uyxyP2kv+fUdSy02L9PQIjHy69TL+M4PPz33K4heTlQcydHdqB8sBv09HZyoOdijE39s6Ie8IV27dO9Aw6pO1DJ+ky2c2iXt/ohha5VEr6bP1M2d+IZOfrpbOnEZpmDKks6PcHJb/VB5vyYqDTwk3wwkNEXe103DNaP3ExtbXITlF7EcjOz2Ix97PrRJl8Yikc+Yaetqdm/2FemwYsOvZFVTn/HSGCLk7bt6y6aHJ/knV37cxGxN7t1POfyY9Xnn6MYj+ao/T4VH39IvNSoSWRDa+uCdZZ/ED97z43BNATAGiS+yzv+M+7aR47sAW3Y2ws85qN/999YXYluLjfWxo8kFAgiRt1sYLkxda0Naag/8zaZijb7Vk9jzVxKdjwvurE+md2s7kBl+wgC9mAhcH1Sxlccw4vsYng+YGtEQjN0D2+5i+96yBoa9SW5LlmOXOUENkn79qr3dPJ+xcNsYdzgDaNPU6TgyaPsqDPOb7ff+/3fvP25P/3o9ld/9fPoJTbYhizEpPsOISpzGnuv0RgTq+kLTx+KT35SJQGNPGKIraDWZ/qDC7CSVu7U0AuQA87tk9Df/mtPbsJJf9rPnBkxN9YUE3/0D7PeI4wXBQheDwR383H55NU9BzoVFo0O0s0Dae9T65go54UcnwEil7git5gyHqw5Txz+xB/ua8Qx8midPYZrPOfvxjo+9Aid7rXSZl7sfIU3GHroC/97X0BFI9KhXR3DK3NK56+0bd2AM9wpFl7X/Nc1JHDsynw6zExpImHf8TYX7WlSh/opowcyc5anhHwIAN3cSib+sHb2/tdcrVcZRTyTGkdZQzrPJRZ9G6BrbnAjdW0SToFnk4oN2duVR55Mz/xYH8buiy16JUtqXnvu3oOddh8UOLp2ek9j8D71H05F9rT3YK20SD5fsd/myayLTzKnPM64j8zvPSFW+dgl83lgxNKTxw7Nsg462ItseO8Je5ZZXL3PXoB8j7PGyrv2lx87zBbmdXHBr5DCubYLqfb5IJukniTqmL9sJCNLf2j/6her9cW1dsP3dNpH5xMOZfzzpYw7998f6PXkxe1Hr57dfvf3v3f77d+/3V75JxoO/cgU2ubnrt0Z59Xron/u8/oVVXNobLP5SDyGfUQQk+630zj5kib7bPT6y69vjz/+4e2fy9z0x37h1e2z53TeHJoRF72YLLDW2rTUBmk/uuNHRvMj4B5Gi5P6+vDMONOujb3y1vEWaubA+jW1jsfQC+nCWE+6d+FGALFx95zhh0d1LTD4jT1zoVSIyFSbtC6+tYYfpwZ+vBgKxsUj/Uc+fjTuyW+UdGyHd2OPImk7e8f+hI4rseQgHfyoyS8G5A5Mf7rBi27VPxfatZFsenTOgf3X/92/mrG0wSpB7sBl8BCcohxh4aWuzaXT8NM+weDor9MEe64yydVxmKs0Qq8nvhFiQQffZnX/3eQoJ1WOVB0WcYIEFg6CeJFPWRuYLgpkYMy0nR/jJRuHC+Z9MmKgRZ4spJKNwNrUGDO8ogP+bCFVRxsDJ75x/eDnHH2b/Az0yMp+JbW+brrTRz96F74+McAxmQ54HXqR4Bv6IDi8yVlb5Y+cGvrfIfMqKubhB1ZlvhLAwWrbEnrA5eS6SxefY28wfN4blQcHK/QymT38BNOiQafhGiwrl2xY69viEfqx1WxD9+k1Py4+bFqLFwGo1NNrRK56J4eUjy00NkOoepNpckmNxaTCRAYx8bTfi18cAyMr3ckjVkyQ6x+98opOJy7I3k/cA+OyWcMbrzu+5Kosmzz4NgSL2/68FHdIoz7cY9M1suG9Lnd9V2p9hTLUdwfb9yVxaMmanROTGRt8evxvmeej438LFN/rmS83SZs0RUZP7B+nnLH18tFXt7/4yz+6/dzPzG9dvDIR9pM9TccBSeQ1HkndOeSy27nxwd+Y6mT2YzqLMS3HVzTsuKN7esCApVN9mXJ11Q/EonPROkkZjeJdY2UkIcTfhS9k832yS4a8x6flH/3ETUfYRfvw6ZW6CX1zAfuI4fFbfE2X3fQHJgjjf58fPcHCtVmZHuPXdOpB0Td/hnfscRYR9liMbgyiL9bxzF6idb4Fh17psHvybkzT3z6ylLd5lq8fyIFmdBPzjbvUpfliY4qQ+Ism6aG96rs0l2dwFoeAZvfOlV5kcEXHg3vwT1KHJ6ZOHFeuwmon26Xbhcc20ub64YIar9CAW7/ZiA3n4deZ6JxOoz3JPBHsGD1Y0XnxXrlClUz4pdR2iW7rv3iSo3YLXHhU9hDvTWde4GOZwhcr/aWBbV9SK8HR7YYwFTxCfziq5A7NgJJmWocfGcGHtx+n/ke/8/ntP/ibj7MuZKMshh2IBPL5S79RkkJs85PffX375T/x9e3l89eZI3J5euq60SArW/mPimQw12DVp67YsJvc5KHauTEyMCm7s4FNm70D2V3sQ1K/qVZbpm6ecuMsdrpRdyiTMeP3TnaoFoTkVbyHOG403RwjOR85+JCfOd8YJFs/8bevz82Uy8bS11184IKfT9XdvPDdxqlxlokwdLoGZrP+Jvh8b29hfXNYVv3wyE3Eh+s/qfoKjetNaNYX7MAX/BSdPLHQHxmOiO/eiiOv8M+NQJhWvdHxu1CRIzc4/uNd18f06wvB9LPjPlmmgznBRr8/Ph+5LMkiqZvqwsb/bi4/Pbs9f/pZ/SEOfEU3WkRO9t6G1l5uBmfPihSWk61jsn0OpuhEFXbwFT66s/X1hIFxEP5dVyKDcdy5K3apz5M7yBFjz1486zojPum1ferGG7/OjruZ6bqCceVgtugHPjR7QHCNM7ToZi+MNlvtq3fosZEPnq9DQMpVj7xzHb3SjCYfn7mmNyQK4Y2XQ9iO2YlSvcT8gGKZixh56UEv5a4J0afzS2h3zg+9rdvScPHtzXz++mE3ux79Q/duDS6NjBf+vrOvvdjbPqUhysCL3/NVsvLKPMUW5mk/Gp4IqL3iyOq6pyZDKzLUY9cBDz49vIwcXUtzUZsv8JFPRjjkXR9T43t8WN/lKr20Q+cnTvj06U3GyKfbD3/vN29/5S99fvvVP02zwOW1AysSIcjL7Cw2Z/uxZh80t4dR1t/9KPBLTvKZ08RFD5wJcck7udGbH80LnVuTGhtpQ67/JCyv2dm8Lf5bbJockTdXb/jS1jUzepvn+KV70jA8/Ctj6sbU3f1DZN2aNruujU2Th7YjoWPPxlzGvN9fHRyu1mfzm/GyMZpKWsHkL2XjWWVxat/P3mkND3hbQ8SdfcP4DsXb5fewooaDMfh9qCCNfRIo+d2Nf946v5fA7O0Aoh+O5nXiuB2lv6R4+NoTIBsT1xc4HFp4dC3O2gLe+CFf5+0gxQIFioiN4wAVt+uAUnDIWGcEvtZxSHSJZSrvb7Ihk7f9xhXM2a8w8MHjEz+2OeR2aFguxZ2JYteuFSnzlSAJ+kdyaKpUxu3sIywrH7Dk83GqAZHadfmqtozA5pPuqx6Z/0KHP7s2iluyDEcCx07GvYDtAW5kdnjG9xi3nHkd7fqztKpR6bjQ7Ni80vyeArmD35Rsc0DsmLnI0+BQuCVWzjX6mSGCm31G+DlI++rtk9vf/40vbr/5e98KsKfO3CeNl6fi2FjMdq5r3J11K/wi9/GTGO9+mbwpbwyxz6VDZQ7dkPK7r6+/fn17fvvh7S/82U+3X/jZ3Ac/fh98Nha/Acq1PXXoh8fmfo5Bn3yRoGLCyRXcaF55rc/mEOOES8l6mavvXePQFQehTbZ6rjLiJxe7mtKDfDBHx1yQhsCB7bgOk45zMYnLGAWXTFQaLfPYYqnopTOfQBDP5tfYJ2sIW+4ecPy6VlyQdJQXC76O00LvvMh/fINhccUfnemeNLnot7FkvJRy/ORpw0d//d/5KykuGCyECHWxzSKDOALlGaYSsndMK3AlqwKxaRWs8cKMszFrYIduJ7r09aYQfPAFdA8nQsPkgwMaFn7GFVDHiAx0FsYdiFSEHnAMT/Asaa9MhbWZcchjIN879yzMrOuUmI6CsLwiwxaV9BZ8epCTXmA6eWOWskJace5GRl8XAjoHvp8Yr7tJOxodQIRNH95osePkBgNWs6DaRQ8oR1bmnR6svWAvj9hV8BgkbLtN/GxSAknHRvIjk/z0IaUOvDqRqbBoXKoH/Jy2o4U7P/X3ag5eZEbbYSUYMRDhaktE2PrcyHbyDeK9jSYfvvijWYMllV9o4A1+T0/Oria0HuwElrxth5NXZQne+2x8qLK+8dnEcW9vdMk5HRYz5+kpUkSE6GtSC11y1mbksImYbpU70Jtco1dq/T09gzn2MfH2JjbwxWks25h5enKf8pCrvifnkYMdfyyx7bGHxEbSw02lsdjNsZi70qEnjo1JNmEf6P6D0/Fh/trnBqljKJs+n0BFyT559s//qR/efv5njF+fTKNm7KX/mmekynDJtTHAX2s/Nj8wKJx0+hZrGzt8IvWH9FMGQ9aH9ukh6F1b+MLL69hZVJhfKlOqR7YlDcu1w1Rv+YoVHu3CWPik9D20d+16ydPDsxJAsVIUjqhgylsdPfGbqtRFt7iVqLk5IM3VrYd56cevV2H3ElMhfddv/qxcqRsnqKnLO2ckLms7cCRMef2jcSdn0sE7MX9Se9N1YI2DUVj8QNsngHDiMzFwyXFoS50j2K+fTOWvLMBMb/hw0GsspB2fWLV01kc+NBONxpvYuWijMz9eupdO6I9NaRaGfPXR1sLRPbKyL3uqR09ipF0PToULj2p64Ylhwh7bgu88RJQHfE86/dWDguwGIHVZnzxJwQVfvkKxKZv3waoi0SdwU9rcmtJBoSs9i5u25hlz/OYVINL/1h986/Z/+4+f3F698Zh7Xo+y5tUnxmeuyPbzP/Xl7Zf/+A+zv7D+vrt9fGe+3pPVGPQ/AIa/NfLrV6/6dY1vf/vbgXFjHp0CRedjo6YIRP52Rqa8FWab0fRl86vZ1RtxsDBs+lANPx+C+dQZ7hmrZ3yJe7o6Re7XHco318W/uqbcG+IeXLEtymQ1p5AhMc1Xlw42tyDCpbz7Fbrgd/P9ycHXi8p/e5w90ce3WZ9sEEO72GzO1ey7djz8eRIPj9vjl6XLNk+fvAw/1nNjX+y8fby9vv7pgth6/PRbQTd3U9P6tvH54f3blH3973l8kxuErAVubD68c9gUNmFdWwe3P14dHSz1IRx+ic8Uv37lN5asOdn3iJQQfv7c/sra4psIOPkpADG9g9RHvjbnSYXq+SiyGteJk8hd2qHVeS50HU7RwW/8WFte+KGd/l6RG6FQDg36MI3DQvTevLWvja+zXdzQSWcuB5y+viuJ2+LlIqtxbO04h7nB2N5FPsPmD9y9T7pvTHt96zApcY6fm196G3N+nmT7qVAkrM18+hxy2Id3TgjNrvuhuv1R7JELH3HSf+gjOkLDk2Ds4wnMsLq9feupjtjJYW5uNvZ7uo/7X/scphiX6G6cppBEr60Tm09rn6Rl4XetlYmc4afDDfFopZx4xgO/PaVMtcCKtfDpHuri23Unpe514nM8I01l6Bi8bFybBI88w+F7BzQhntS4SS7uzPEqR3Y2NMf2xrJ0I3/aH6Pjt5tefXX7+vd/+/av/cs/cfulPx44OmZ+cuBU+oInvutaGflIVBG8pb376RQrV8q9P8CfEA3ZxQG7VZ7GwfaqbBYmaQtA5wUpcqJ/zW2zP5zU1nDBqUfa1Gu/h+tuePQ+AvlUG6uBaRxdMjrkrV/S13Ux/PnHQUPppK+6hHejjxiRjXXYorGafk+1br0Sq9hsDDQurG2XDefxSS5tn5aWq7lggRO/3XMApWto9eAkaXSVQs0Nbl79IGpNI8JPKdYmIFIHV/NFL/iDIJZYKJu2nNjBfmn3n8j2noc+ySHtcHp7YR5hp+5RLtrgCpq6FjDlv66ISdfpDELsHtjevJ8Pfqy3XmRjn8oz3/SglY1Gda/6pqRqgwg5HmGGyyS5fKXFvJj916PzIUfoNdYqZAhROVhnbPFNn7YTN1pLCN9A4Y2+/twXNI66/psjp4+2O2kvHt3fRtbt46wNNVy69oGwD4+Qh8in5p7qFLzZcHPS4gceYO0R3944ONZmKXdPgcwqYS59FjoNLeMRIp3EcvAThz6E8nt7P3r7+PZ3/5vv3H7zd78fO2VNjVH6TaSAdX/CtpG/h5zB7QFxYrX3lpkH0WMmiUu6ZiQZl7VJ2riXbaxjj7K2f4y9vv761e2Lp1/efu1XPtx+9geB670WC/BFtLrmqMZdaCxe8IjcV5mQ/BTTFAaPrm+RX39xip5IM0emrfsV8uQ1udlBD9qzD/1qK/FwzWUNm9oO5dBlB6RygTX/kIsrwKFvjmhb569r3rBfSNsOIiv2aJQ38lrS1njFZ/anN3kqX+snpsgaPPuOxqJoXux2r0RH8544zP4BzcPPnnBrvfh633tZ6u3p+PD4X/+Nf6k656/AZNvEiUCAKcjYLJnODdwA5Y8Y/T2jWi7KJdcl2YCY8MBLW8imVBkmybV75P1xFkRSV/n0OVAAu/+OsEFCaQFwaPpqo0+/OKEyRWqKMVgHeA0bk3QC5vTwr44TUn9lSd7BlxdaBrENwCYrkKNbG9B1TZ1QacKhjC41mNO4T1A2wS4wroDKRbYZHTYcdBBMJf2czhfgNjnc+hWM8k4/2Uorry6Agd1ixe6Xr0KbXJ0XUgbfjQk9I8+5WZDwsSGpSNUoCX5gfBq7m9bYIvwt2OWRvton4HgvyLaxsbAYUJUv8L1pCH804ZHz6HIS9MZLCnRyg+vHSDvhMk1guzYoBxd9fBvswcdrTweYUAwErRv4aJxE/m4eyZUYrT/IlZw01cXmNjJs0xJeQ52t0U/7Jr/QDnxY1Bbz4WIGPpo23WTsf+xhs1z9zazyDl50Lu+09ymL4JPPwJ7tJpMyHNouNqbX5Jx+YMhFj9oL8mmPbXoIR/72kb/dl9wPcFThGPdsnfL+w88mWBapLYLTGzR+e5SJKLH6+dN3t1/9U39w+/mf9nSD37uYb7vRayzOtng1JduYHZ/TDuboXXkXXpe+97Dta4/p9F4HcBLbaHOtbbRwYcsz6W5+2/gpz8u2lSeXQ57CoJG8N0hJAS0dMijTMVJNzrQd3o2X1Mnbpx0C7MUfAmj8rjpagZ98Wug0oXswH/7irr6eePUXmuwwnuTh49Wrk8Ga9lgkdWzVA8uexTt9adfVdja2sCcWICedeNtcg/n4ITo+aboWY/XSS0L72FXbkUsqnRaGU52vuvJ6h3PkljqOynByNo3xNV9c4zhtdIS6J75SN3DB5u3MSyO9goja4TL9ok/tnTq8wEz30DMHpK1r43UDUPFCg6yZOiObhqT6eDa80zmpOoXjoSUuC5PW+XmwbNOxH7lEIP13s32tcYG7Y1U5K33zqirhVbjYMnGtnf7zRS4yy1qOH8J/azkb7QAkEuT18fabv/fs9h/+fz67ffnqWW+e+zME2WiYFxIe/dr+n/qFD7c/9U//bvrj9wjtU+nSL7/tOzpnx0+/8Ru/dfvt3/rd2y/96T9x+/yLl6FHp/Bl29ikOoX79OQTUq5t12y9H39NT2ThfrZkxx6GXXjMxO4d83k1Bi4alQ2dy/aLydPPJtrYlS20XvYM3bPvMa+N2hJ+zauOMQB98z15tq9ht8UPccg1GcY31gqskroZAhHy0ts+gJ6ZI/oJOhl9moqWuLKZRH/rt//o1bUklMC4SdxTHMbudCn5CIMzWfv0V2KGb5889Z8Bg1+BYLwJVPZj2Ze9e0uoJzf/cl//4tPclRiPvm4MSy9+t/+LltXXGtI4yo3Lu/fkMFYzZ0bBJ48d9iV2wuf9h1fp8ePN1usd9tFt88tlN/pE3j4Vl5s6NwZv36UtcvOnfSHR0TBIWfP9+/3HOweivv5rfO2/PhuLfozcoVT0ePJF9PCbR/TLvOzHrCMpnzhUQN/BlfjyNCHZXvpdHRBBYD/XQjI0jKfw0M8nlwbVx0Gh2D3zbfduiS2BtH/Gs2iY742x4AoIPeHbT+ozZrtmdN0K/eDaq73PeK0vHWaXx54atB/HWz9alSnG6pwU0sZY98ThTKbJ6Wum/Prp9ur1634g3Xktc6KbSrI5uKE/ubzEtjmIn+CfsUgnZfmij0XIuThuPbR3LY7J0fbQ9FtL9p3okw02eg4c487G8VdffXV796N/fPvX/pXPb7/8z3w3MZX4daOPfmidAxL6hkzK6EzmrR3m6NULn9zYIw9YcpKPVHL9ffom8lSFdFRmMMWnoXgc7unv+uVQJd3mIBTNvtWphIbH1uaewqdte6Ptt0os17HRqc80wzcW+KV72sYQP6+PPg4d6CHJj/877oIDYb4KTPBqr1RnKm+Lm85D6ZuNLlivtjmIIG8S3MsH8Ly2DwoNNs7rtBec3ZKHYm1R/ZNvPK2sl+26Nwp0rYDeN/RVT1a7k30+gYtG+aUtaLlOOzg6o8jXK6sBhEWm/v5h90b45H2hnLbRq4zN3W8u7jQ07mP/jlnrysVr+xtzU8ZL5jNwpes9yJMBXKhEn8VYZKhuwUu++7PgaGrv5Khqp1w66dMY2NEBO7vuQ94LTj/5M1fDMe8f+EA8kCMpAHS4H9N8zp4pKCdXJu/WM7yjc+TwsmZpQ4297guxaa7S1eYtzdtDsJnYsQ6JBbzJPbBPma+UP71/dPvy3Xdu/9U/+N7td/7gs0xj5qcdvqHh/IEetX/gW+bbyhD8yGbOmezmOPPv5fAk/qHH08zNvXf9+Dam9VvyH26vX725ff+Lr25/8Z+/3X7wHfOWNcU6Eq27Xi3S2X/7BnLgmbbwH08xXsEiF7vvXlMSQ0pkOuNDfNGB/ODki5MqU19InSPS1DOe4G+eQYFfQyN8taGbatHRI+XxMx3oEqrlOV3oNr6QyNcLbkECE+XsH7rOpWlvxsfGtIbGQ9rZtnRDhDwd8WwR3oujyEI2MaBQfGw0mjfoc80/latQqJTeo//Nv/ffzTqwAGQIjGrMFHpCG0abiNZmsgbXcM2f7z7PKJW2htNP2/7AKW6h1xwWrZQIUuWQzcTMykgmrxw26Bdsh0lonE8hZsxH2ZxYiLUNDguD9nwydW7+3999GrngqU5kiYybPCaDuj6yolsD4RWZTtBX9+qSN7Sqw+xHigYAWrWKlsnGbmhJcq/JxYm+XpqNh00jPqE1p7HbpRs5gt6AI3D+9kPs7azuICtzna52OTmXRA9pdLWt77QPIzagRdrVu6GOL5bmL/zh2GjTFalOErEN2/uX010k0l5Z0rf/ZDf5IeAD4MjG9jZQlTv0xaDDM/1os7sNXTcL9L9kr+JJBj7+9W3K0vEZnsD0+3F8A69fByVSaEzGLaSVLf10LB57a/cOvuXh7UkZuqzeT2W0Bbc3J2k/kz9fsw2a8/vinL5VJ7a18WkliDbjjc/QhXd8RD4w8Nircedq12RvjCQ/OK0Hhjz8RTJygi87LrnzsU1R8MjVsSVFt8gq8dv+c1Xs6+YDXfajTxpfPnt7+7U/+cPbL/yMMZtJDWBimHyFveJZWoxGl8hyJvvJdOkDJm3+o9i+Vj0Zo07lruwP6OmvfYPThenS+6SW4FxxrEL3cxj9EPb4iQ39e2/WQ/NpEIDtJoR8kT+9D3mFfX3rR0LR7aYOnDFywS12+K5ZTDSlOo4Kn/60K1c2XB7gaCtNlVydMzGHlGQxMYfcyZQclaCVpoSHKWRz2FLni4tS+5PPNikATjo6rJaEaBJbWXAqI8yrXTpUvc+7S0iyK1j9YkI81W76Xcameq7WLwqdo8iRvL+1Ez9F6NrkTqfEx1kAXZWRb6pQ7NTgn0z6lafsePdHr1OYNLoXY71JCi/lY08pnIqoBSz9+lsgZApc5UD4krs8kzoWUiyMBv2xf+eflCuvcRb5D54p1bxlrjybB3P7YEp2eEng7+iok7ljju5lffWRi30Wa8YK+4MI1aB4bIfueD65/aPfenL7D/6TJ7c37x1IBOP9fn7B3PDm7cfbV69e3/70L76//Zk/9VXm3PCKnp+6aaVDWbQNff+17m/9rb9/+9t/+x/ffvXX/uTtp3/2+7kBH+9oWh2ku5xs6DVO73V+qCtb2JweHGqxddeGxggBBuu6g0u5H2pdNNevMrnRTRNmbdvXAMw5Dhd9Ou0DEvMn+wLMGO0hzCVb+Y6uOYzflaUzpR0+LsBHBjS+Ac+PgelGN2ntK5dfbIOXQ6/Ts5jd2LDsiFEd/iMb/3czHzoOZs2PG1NijgzwgxS4u0+qQy+9oTlZzz7KzcDmIfy3jlvPdkgcmeuboCThqSiGCSPDs0/bNbY/T+7gNTH2PHpxIZmMr/AwDiq7R+k6Vjb/db06a2UoW8t2g47G9hp87UmWd++/jgZ84mmz/ci6J+XeZv15+jQ3UI/eh19uZG6fFX//1ZC+qeXqvJAefeQI9fR5KjPriR/zzzh1qHb/GzT2ta8jQ5ECRy5rwKPb2zevAu8/533WtejtG08r2o+7CTPvJD5Dv/rCdOhVY4qPJ/sdwdRfv/EfYLEyrq3/GcOe6IvQP/ryVezuQy6HTWjs9zNfvX3cQ7+OrbT7DVRPrfHzixe322cv/Yg5u6PJV59Htudx//6RmLaPkdFTpJ8ef4y9+edl5EE3NkqQN275wLjK1Zi6Ep6L0cRF5hLuYruNn8W6eDpwcom+3Udd88HmMbEwHG2BbturV1/fHr39zdu//q9+6/bzP2v+cpC4Q4tDX9yjfWJS6tyR9Ci64t25IPWO1ZTMl4vbaleZC3PZkqhnD37w8ZQmr7xZ5aiOAVgTwIOH1qVXro0f+nuXxN9oDe7YT/2idjE2etFttWYf38pO3+Rk7r6SPLUPWUdHHYnuWdt60b98M77LK8B6Q2u2Qv9CqT3OGq2JNvDQ7X0UXpWBDfQHLjn4+//Kqn97orabb8RL6tqKkDS/TK6JMXnXxl6LQX6dTy9RH+AceVeeEuZwMIw5WDSkywZN8tml9ktykEOvEwdg9ffeKG2174V/yJR+64FN//HX9gThGz+ZVybvFQPgvcRKrhObUvmTllydmMSvPdR0aSwmX3wrB+fQjCClq5CWwpf+ygG828+d9ahw4cd2d3zYMX/KW6tDD4280L/Qpi+66a88yXshnPropR416DVa6WPHZEe25WIxcRJga4I9zg9fff/2X/3Dn7z9zg+R2/2lcxGxv6/mb54492jYKk+f8Zbu5ozK11L50iWSt+3Dh1eZUxzAf7y9efXu9pPf+9Htz/zSm9tP/eBpYDKnZm7C/8RHx03SDj9rgsrQdTDt1gzJ/uK59S+N84HzlsjMKA+SeOH2uKV0pGPPxod6XmhMx7xixzNWL4CWzRObh+9p4X9i8mE6NiqNJHU48o2L9U+Og3wxSwKDBBy2ke7GYWnHzqm2ZSilc/hK88/hN9qDQQPEaCmXj/L/9t/7tVIeUBgn3+AoeP6y2Hm8LWU3JztMuZ4SCxy7gD2nmhafbWLQEoCn30R33RhOjbbPsJuI/c6FVKWAJENAvUGbRbSTIJrpNJn4V9CHLzQ8BC4Z0K6TLz51cvHyTsaQR5eRnHYzOHjpBPsZcNoFI1hlcggexmbvDXyK3g+mKREYPMN/8q3NS/E4cZ8YXUFYf5DuPpE5w2rw1+vcIIKdDc7EO/zxNIledJP096k6+t/xuPLQ02YjWrj4ZCfpnpx625ubM1iohqLNcXUMPDqHr4RqJ8H0l+4Feya7EG97J67AVavIYLLX1k1zaMFzlS8KQV+/GDQg91saJj42HMxw4DsoY5tt1rb4k232Wxw0aY8ePdUuftrI6a9X3qpPyuyXS0zQtpNahBmf2Ay8/gcHM0d+OODOROITV/1NzRodrR7f1a7Ja9vko7fYlo6v8bxrTDq+4B/69gCHHg+SPgezJlk0yEdPcPBd5ChcaD/EV/SVEf5jzc9evLn9C7/05e3nf8bYe95Pedmz8pPFhBA6fD3Z6DIZaX1SOZA3MPuvdqMxvyzezBld/AHf6RwfdNG64tusKV39skRc8kMv+l0y4OHGf3LtZm5fwxu/2jw47Fg/p2xOMuOgC6Y0qZmG6pD82OzQBRfA1um8g9vLP1dbENsmVee8oCmDObZAB4+zoZTubsbLr8YZrKQvOJUh6Y5GeXYEtlpZkzeW0WfP2m10jgwnKU/HLeSSMYBPaSVpLv2Lptfpq+3y6mY65TOXNV2iH3iy8JcPGzqWzQVpN/4Gh17itXDmcfLzy3gWJnjom3dngzYPLnXzN5qldbWBlx+9T5vUvuR7QjGapFJu4LsBHW9w+g6Ni21HO90DMq+DydvkmS/QPwldhxdsZu07cpR3r5XB8Yn04/Lj2d+8uXzQvLIZ58pgd8jRryEQIFcPSPEIy9/4ne/d/v3/V+azm7UhNBwaBd5TO354/3VuuP/Uz7+//cU//yFr9eRxs1758iKTNVH5xYvPbn/37/zm7T/6f/6d2x/7E9+5/YVf+WfKn6q1QRLZOxdVb7+LubXCwRS+rqO3VJ1qx/kA3roGc2wH7t42AOSBmRnSMhnd6Asz8PVl4M0BDz/VhXTG/D7wi56R7+hA3ju8oPQfqdzRlyNBFpdDkn2QtP3JfqJi+o1f2aJ9fhcmXe3J29GnOuTNxj8Qkz++18vX3TgH1j7ojh5ZtLFh8jPO3ncftCf/K0Xx0N2LvB8+ZQ0JUMegtSH68xc6+nvQfafH8spU5gELjC6HR71JT3MgguvwjNz6Y78nlSCd07v08ocMm7J/96P2BWkcDA7TE3ykT3mHwX7onj6+PlJ/5NX4fOxrocnDs1+ThZw/B1FkiRUDt3F2c8Aceq2DYdsGjfnBISV6Fz5boNXRGG6elIwffZU5jBpHaHWtC9zxB3JwHXYSp18Djq0qI4k87ZUO65V9usO6c/DZpyYjsxuo7qE9kZ7+0k69h8Z+py6y4tXfNrMupk/8+Crv7ZN66HwIXPL9YwP7oexScz1//kVked495Mcn725v3j2+ffn189sP/5D9PJFmJEZHvgm/7u3JHAHF4nt7kLu0PYk5fTaAtpjrOpwyW8B9nnl7NjI37PfxOp/VN/RPrLN97P2VH+V++49u/5P/4XduP/dTLyOT/tArT+NiH3I1RkLjpFRLp4cAd9Bw01FZHTquTSLP2S90LCXRcXETGwZYbN+l0KajBEdFlWeRLJcLgBxEQ0ucGj8HV+qYig0O/4epNivBEe39R+D7gVFg7/5DHYaS+Ts63/EvqhobaeNLgCqhnErnwOCgQwt+OGuu+JPz5aXg6PbpYDF6pcAooyVfja6T7eiF1nwt1zLbnv7ags6XDwCxC7raxSVRaofEdOVlX8KNxDdSaTeWLluSRXtlM9bxY9N7uI7d5D8us2p1Tp09Gl98kb6WQ7n6NzYi0eUWh/94oyumWNm4YOfRiTQBrI2TyhedVkZ7faN9bNzcxJI+5dnhXhZ0qsuF0/tymPlD7dDBf7Tv5Rye9vXfl9fHZpIy3Ifw7EiuwoXHJOc7Uo1e7ZMrlfjg+upk6t0v0in12iY0gB1dlOuvFKyzPmj47R/94Paf/+2fvn311twXOj7IN+4DV3skzt0nLBYnow+GrF8+zJDoLc6mGxtG/lw9XGLXR660+RAlVjNnvv7qq9sv/vSr26/+hWe5f91/Ie3vbNHS2OKHspvNJvt0ru3xSPvu26I7gPxJ5/5Wqp1y6YLHaVFzNL20XXDiunW4/lJEHy2SDTBX+g6ehBaYNJcGG0i939FyySlFteJ+pGN8dWKGLNWrtoKPmjSGswF514ZfZb5krW4gkx3dH6YDfy93+Nc3D9tG57Q/+Yv/0g9+/dkzwggAP9De4dege24STTvHPcmCbj3ff88Di7gJmXCZdIID382yvUI3fpGUPzdB3QuI+f6bZLW6c7B6FxWwFZ5TGMZvgDgcizyXMfvjuXiH7y4YkQdJzPzJU7A4k8fmQkuVPzmaGSRSD4qugYk3vmQpzHVxZmXNS66/rqhu1DFQ3ncAbZIugX5iSN0tGE6XHZ6QYjJU/toTDwQ3AZZ64NVNUA28ENrmc5uKyoB4aSRL6iRRsmtXLM3Qmt7qs7Gr9Vw0q/lqu2DgnX4HUGsZbOWs7/mdz/RevFK8hvk32o5+V0ftU9xWDl2XzROfWwCmMzxybhOwzQe6aZI14Vj/hc+pO3jRBod/G4s18HxI/vK/aNXS9fv4dbKubPN/CUU+bd28JXdINBKL3331Behw+4TepYNL+XzyftruN8ckIcXwwUjouPDQPpkGI6HZttauMZe2TupJd/0hMT73Mjn8Ooh84vdYSHH8es8v5SvPW3Q1+SuKycgaOs+fv7v9/E/96PadL/CO70o3OOElhcLwH6TJkra5ozDnYNDVjsJd4y95bXHROfK0P7RAHx6baBMviV8y6mdT48M4CER9tli795tkCFlodhhnUZycWLPvSWTR1kN1dm684XUtynnhdfwN98CCaay7UUr/7Dx/SWCP7dmheisl9/jyNgDp81e8dgMozN0cd8H0BuGic0e78OZtyKMPX4esVcZIAzonJqsr/Iv2WaCmB3lWjyXuYB5eB1ccycklKaN98MHuEH/w/dqlvlxnc1t7pb82tSlJt98pGFglaLnkUmB/OZquw690Isfpk7vO4i6dNrDawZ12OpRWXprThJopo6nxWdm0zgZSNxHkuGDOHHJkCaUrXypsZZg/pjecUg3s9Bj9ez0q48Wz1NZdQSt3cgJ6nXkOpIOWHtZVRnQN1E+3H379rds/+p3EcIaDcdKY4n9kAukQ7Qff+Xj7hT+qYesZ2cx/xD08K1He3r7+cPut3/y927MXj24/87Pfu7P7gfMq/UuHsxafsSMdPU+58l/riDg21x6/XWAt63f1wGKkGnfjK+U9f2IHPJ73cTGepEETvM3x+8yJ4E5bYSpn4PK++fHQXwltL3Om+ja71v/U4AfpfCDBzajJ7+ewySbJz2aZXrPD4gaifYkimosn+hazecdXcgcO+Bx7VJ7i0InOi8e+5KnDIc3wD935zNYHLHELl87SEjhgmt3vB/cpOZ50EWNu7Ok4Pfm1/ive9lgHF53lHxN34UfW7Ge3Z5WzdSz+KPNFBIPb358J/UfZ08Ktxz7ta30RO232vNPbgVpGQPiRJbxvvvrpwzxX4P0eaPbIuS2K/fiI7PC1v+tvsA0PzPQjbijHd2m9bM2/3Y+lzRjoh0o+2I4tXIHItX6HgJ6YC2BhfWj2/sPb5NHh45vkX4bP69szMfHp7e1JdPvkyYfQU3/06VXgfDX27e3F08j86E3slvKTyBt88LmNjF9eRY4f3l48/vr24tFXt5dPv7x99uJHwfm9lH/39q2XX94+T9u3Po82mUN+9/c+3F5n/NlPxluRoeLGjsrsGZGbX/NafOhJPWlr9mBqnQaMeIqf03JwFvuj4RBEjBmH8NqnELu8fRud3/3e7c/+8vPb97+zJ+/QSaEwp47OxtXV1r7EV4NNZNwn/SeBG+xiU7rbIwQ/XbGr9vUHMuX5+owv+HxX2IzdygIjcSdWzpOb4kK8l01lINuVyJyOjk/AwS3PlL8ph0Tn9FdPPNXEZtrEehqrd+xYWWqDJZCdRy5SxaF74AaFL7tc5RbOGB9E7USm1uRw7KEvW+YFtPOuwNEb+OWDdc2G65+May+Nq/3UyywXsTMNLKU+21z9Scdvhx+6nddaC2Lay6v9rvmm81XtiTjolTv3tBqa4FOu+vALn77C0ndzmQtMbY0aGiFSKWKPwlLkwnePaa7lO7EioY8eGZdP9ulyL1NxELlk0M6T8OfT9KcXVu+TMj/xi7bZefaDe8od0wE4PtnYADseB3bjRT+80assgdNeHrn6oY1C4Ohjrhve1oChHB73viP7fRxIg2lIRe9YLVH/8faj19+//cGXP9kDMvsGPV2Xc/WAlf3CpDySk/PDx3ckQaj8ZgNC0nvzHNZsr7+yhdsT601g3L++ff3l7Y/+1Pvbz/2MJ6Knmz3TfUJ3+5VDu9mlk7KHkeT4WfsLV7Emj/b7/cvgJHSrI7g0Icu/XuzbB33S0Vfyp+k7uiNx5Jme7DqddW4/MVjCTJzJosW+V4xUBjBtL+fIIAbHq78V2nTplfQwptYWL0a/9SI1HH33OCJpqTpc0GcNOeO7rRfdE5tPfvUvf+fX+yh6Ftv+SJ7v1vr9hjosi3IW/afZFPjvVb6T++xJjJU+mwIbBv+29pmyx73jfP1wuqHIZUMhKPB4lPYnj7Ur+42ILMQpo/s0eDYq4P3b3J7GZkOApg3P49DyybXDORunbRYib3btHp/evLAgY8QZmY4zpjHjqnEYIWKCMVp6WJLOBTpnM/BobsKj00U7shQuMA4U9VncuniF3ganfhPFbhb2HXXt2Dmo4BSOtajHBuQNPReaxQs8+fujsGTiWDKHBrXo0EEXJ7up7wJ7tZ/g8LUxdDZB0mVXgwwxsJHP1QWROnkrX7MImZPBeRbFq3deDaeW8VLM5oqTSu+qX5t0E0E0ypX34HS4HEFslJuTKTKm3pt0xi0kanwyOPzOZLGm4YLUTm568ffZrE8tfFVSTt8Ox/B8UruBMFjdZDigvEtkSsJnAzPx5zc7QqOJqHnh3UOJyK5LL/ppBOCvvNCX+JJ8Jv67lLYN+ot2UvW7ctcWnsmExmzFV5eNkryfiY8gg8Z/k8B4LnYkeoOrSpr65IHDhX3S3PbKNfn624QPeLXsU2QV4/XJ+9sf/8X3t8+fs8vT6FnyTXhWvwKvdTqrl1rLbHVS+/U9wAFTe+elj/7glk5ucdoN8uaCUmndU4p9quyyp/gY303cktzv1L17+zb529tbT34E5/XrN21//fr17c2bN72++vKrPmHoH2S8SbvfUpGDwQuMzbvLp/jq2pUdNmDJL/rJfzY5VDl2n43ubXZ0Pu3sKq7ZxFjWjPZszrpGD4LTTdLugBP+oTV6bCcvRtpiI7GWdBbhxk/hAYQnW+P/oJ/NpZTKszc7Sex84hhsN1xX22k/OTz9B+YupYw82Ywl0a3/oc+136XKIm6m+72c9zyPHVsK3LlZcZ0E9r+tLt8ciVL6xnL12K9w4avzgWRNleOBneut0KrdSjf4F9K9r8azdMtRXZ+S+sXzyuEdOKm4lS6taeZt+ZmX+FCdbF2/XBdtVMyqX79+cfv7v5Fx8WY4+sz5bvqFmTHx/S/e337+j4ROQm1ypNwPtMaXDx2Imnt//w++vP3Wb/7hzT+W+YV/6ge3ly+u3xXh4UtePlZmm/ZNhbZZ69oWmU+cbwzMDpujd0mTZ+uFlliqcpTXRbfrZ2TU5qcioJ4b+XTAqO8g1EdpbxzFXkB6Qxka2tjRfAN/PC4m4FJePK0Jbb8H1hvujEftnfcCW/tdMndcFYn+5me6q0a3RtpsHqzgawaLzxVzqa7/+Du8jKPQQA+cqNbXr/0FXzseu4mAY9zZv+ygozFTikvqfWouuOVfnpuz0Cdz2wlzYbGr9/b7bbEPPvzCo0a+eA1K7uampeq3OO6he3ltHC1q2XR6VM6gkYV/HveJKNYZnVi5G/reKGXvpj+RGnHHixxodr967QdZ3Z50dHjADYYu86M1MrbAOzw129tqV38Umfu1v9rB3FfNIuv20fbUBO6NdxUnhz1M8MmARvGCr96Y880R+2VzGn7bE0J/Eno9dOs+XI6//arDveDba0f+jn8OlzsEtOd/5Ddp4dPbEx5vy+ejr7UG/33WM3v5/YfdV7c3PdD7/u39m7O+R9ZNCoqBp9fxp9hLX9pPjKivzG/zXccL2ORdB3LNl/fl7vMie8de6HlaR/nNK7L93u1X/uzL27c+f1Ge8OC4WqcdBrUBupHn9KWi68DewxSh6ZQLk2uQo6NvzexwYIdfvfSnRbkR2X5p8Gd+I0QlyZ/oXm2waJReqmceZOPSjg0K2fIkGy82g6/tkscc2ESHSpWLnMMHvX3L6GijnLkJ/HhqQvue1ik/lOEiMbrX1caRDK3t1TVNTmkylEnT8NA8dPn2zmY/lgoT1N63hTAy2jr3VKDROOWOn0t36bA9eA5veGP9rrSV92jf+RcPdFwToZf+8Xfgau+zNUmSrc/c1EpaZ+O2F4idkoVO5UQvzZe5hwL+VHIdnq2SMy/1pitrStvD8XbSkedOhqTRG7L+/N2lh+2bV+bPwrTv0EmO5oVLrpMf+i6y7HCm3aORykOYexuuffNC2umh7cL1lNnXb1/ffvcPvrj9Xi5f8/fhRUBnWNw3aOtXMYnW7CGGxp6NDu/Dy7qEH1FOTPBOKKUNXOz76c3tF3/u0+1nfsJay/ehGr4dR+UPdr6VOm+mCJYM6u4Dthda7Jz4QKz1wJ3x0Ni72vsK7dqlnf7W99DfntADV9iQucNJuyRXL8+kvqcLjcFtDLT5gh1QwS57pqmxMbp9XbIC/XF+s4eeB/JfNKXuwy7+Jx0a8sXP9ILYfd2V9HdNutKTX/vLn/26Q7BHWQSzxEQwi2zKXYgd7DgRtUC+T5uF26dXr7MZyIKeskXxySOHbW8jrgOx5U8ssC2/yQIc+Cdvg+PwzYHZ69uzlJ8/9nRbcD58nfbQD/yjLLYO2l5ko/DiKRlGb/07oHvxzFNwDuoErQM2N4k7aLN492AteviE0UbFnP4sRnUwpf1pctezXDYIj+kW3OfZ2z3Ppr26XzbINN2y32txKBizl27bk3OhzUbhn8UxobcnHjh+jjTRztVwBLqAMrlKJqI4y8Yrg5NvYMHtE2yLnjouhBOkfvjdBnnYNhPdANtUBAZe17C2ByzB4IahT6loRkepmzDwCySDOO+VVV3I9Gkz8l7MoKq3pgJORWNwO1GnXPxu3sjHHrupdnm8XwC6udqTdPsEMlKPJEpQ6S1HuvLuUjeY0JQqfyHi+wgzO+gZPHucQbqBcdrAnEEyO46OSSYx00OiEios2X0lizWUv3Hzk6s3M3Ajz5pmB3Y9m75z487f/frGGFYeutZ3sf/9p5OzmbJ0aKoLF7R9raB18GTST5LUyXF+EFw68hy5N3HiuQOHSJ/cmNrk34hgM6+0eUqhE0/6KlNdFCZpqG7h75+e/dGffH/77hf7IcrK04AEN1mmlxzd1SUZug8nqKbCz3aNp8LnQjbZJlnC4CUGL31KfIdIxU2u7NDKYsgW/m2z35JxQPaq/+nvdXP1r7/6quXCnQOzV29ur1+9Lo0djGWeC++AVEZt5JG7djgmXh2OhXfaHNz1UM5B2tsdulUmh2vhu8M2c4GbZjNU9KdrEs3pZV5T26HDfC1+fDrlOjasPSLfJ3PdVR7es7vxip5218FDj30XGzA2N+DReE0dzK75Ea1D49ATHwmLfkIHf/QWw/VPeV1xHdg+yn61nev/X9KOn83aZLpiJuXiKYYHux+d6NA5W//d2J7MmyPWJmmT7hf46bu2039vA753NeYvQGOCbO0nhz44pbHxp39rgfbYAL1iLxlzGsxvGyeTf2vKPd/DR9K/Mo2N91Nm92KV5gVeXepjbxprBxdaxpd8uvawNWvbzbwdvK9f3W7/zW89ur3OfbMYJZdxVgoffd3w/e0nvv3h9nM/K36QJ4+4m0+sAzTXxl5v39xuP/yhH2V/f/vFX/hBYznMKtuPH3yZg21E+2Ro9Kp9c1W91DvuA1tLhbYy1DPvzC5ydsf/queF12zK1jtAIscP//Cr2z/+x797+4Mf/n7/w+P+c93gxmb2ppWXkvba5Vqzjh/rC3KBTF550pfZosL5bajf+I3f7M8lPH/h0G5w9IZz4mBpdTEFjg7S0QHdxXm1a2/ruYgzkMlQmMJpizwFyF8ys792tga8+AKbsZ22HdxfOOktIh5KHUvzM96VHY10VrdSJlNopP8+hxPbIRWc4iFYDIKhTz/k0FheO9TGBU5b6u2ff489KdYPi3VdsSHG+98xP86m7cvVLG/Vuwdtm3+u7kuPJAu0FnGDfrJuxNO/Dbl1LDR0kzEJpk/ySz17TdoZU/gvrtOSi42L3w+Z0YsMWAXVJQbndxTMOxqtU8mNlVz2v3SutOCCv/GTur1s9sP2qWjYK/pge0/KZOwGwv53O57kPhgPrY7tXu9C88IHmzf/SfbN7XluRh/fXvvA+8zXYeybIZu/zQsB5pOks1YcX6WjvlfeEODHwLZPthg/SdkcMJ8H5xobHf+R0z80eP7469uv/PnPb9/+/GVlXSLTfY006ufaGF//cvZffmDa9kCWk6rHZVdgJ7bcM8jnj0ul5B2fKRg3RQULRqtKfbY4nNmU7mXc2IU/fvhPvqXCBLZzQeHWdphVPnBxohJZVh+8ND0vupqSb0ygl75TT762i8aVV5tLrvrwQf+57uvzf2pta5br3kdk+XGcXUeXh37Rrj7+qVevc2mITJfWqsdOZ09xcKWTj1+LF93BxwWh7yDjm7BNl0rqh8f6ZvWH9xuH5nnpv9OhdkYqr7TBI/10h2tcPc3QAbdLwl7fyYM8XimeD5MqM5xBDT5vR14NleZBuwtO68WNRgcHDfMRPC4Rs2mLBVKBNvhJKKXe+XnXYhuP0TcufOiTrsKWdxLbK4NxdQ4xv4O95GuOUzK/Y2lueZMx+bt/8OL2h199p+tOGgM3Wyyuwe7eVsK2fOTunTWW5+JOwtOTtJUxviF7vx0V6WcP85Jzl7e3P/6LT24/9RNsGx0rM30hHtuqzhZdA0Jr++fL1mDzN1jyLx1byOlNps79paHvArzqjSmE/F3lwkam8pAq2tolcKVzdcPp/eNDmKt8ZCHH2WtM/ti7/h2f4z/JOnSRuWTeNwqKzjdXWv2eHzn7+66Y4JFSH5i56DYmLvhwbpn/jgzSIAP7L/617/x6F8Ye7HCgRS8dgsvVxXTtzxpAgevlkMphGXibVA5XDmza9fWpsSyst4+v0/Ym9bepg1vbM4deWVIdmj1Bz6Fc+p953D0bgyeeTvv0OnKk7rHy918XVv447U9Tfv7kfXBGA6yDtJdP/UBe2tPm0fOnj96G1+se1j25vb697EFc6H4KneTrDw+yRZ6nKavbFLzsgVrs4OAuF9mfP0d/bc8cuj2xkZhNPnmkPTm9q0ttQM7YTxmNwBbvWQIw5R7eJVDkDrvOp4zs6quz7Ohf1fYwEI0nmQBC32HmDjEdsjlQTH/an98dLg6ePD79K+07/2ZCOcGT996kXFHB5UeObrIcBmaS6OOZ6d8BTeAaS9tUgQEfgxe3XyfIpsuPNZusdjiFsGDdQBGMSGjX3wnCJI9e2sXqHk83uAzkwe/mIXQS0A4jNKLVjXteaGO1QTkOJiYLCJpaSqcHWGvY5AnS5GrTfBkj/R04xfAU4SZLdDcwTWwmrPX3ve1qGcwaSjV9oVN5il9Llla67tq6kYGsqfKGM3peKYPXa7KDxhaehtDXTzTkaLaXj4aXv/q5tknqoU5A8Cw4GB2pnJs8AOSpPdIOrodkSZUxdVkEjYzw2e7j7ae/+/b2/e/qRxiN6AawDPpWmeA7KFTQT+5KkXz+ZiM0lipHcrIcOeTnkArem9dvbq9evb796A+/vL16/er2+s3r21dfpvzq6x5K+Q0mX1MVN54O8+Tnm7eeEEv8hueeXqDH5BIHZNyB1LPby5cvby9ePL/yl8k/u33++eeZE571P3y9TJvfh/nsMz+g/OQqB+aLL7pokl+bKwERvZ8E13+N81Vln/iPv0/hPeVmEcKf7uLHTeTa/Ce7Z3d9Yn82y2VRC+zy1dF3MXtvPlla2xW/58Ct/tQHLrSHI27ot6/aazu5iyzS+YSUTIuGaBvc0UZT/C5Ge/Od7tK4Fjus2UebNHmmv7YTi9Jkny5HljsCstOW1FhLUldefup6hrS2yXkuRIczOprQXtqYkM4csL77dvXhaaP7eI62Ptfs2KYLx7zHLNo3bxWp+akbM9ioS+NTAUsDPB7SsZuEpuajBzB4q11oVwLbmEzn3VzC8Iyd8pu3H26/lQ3mV69SD1y06LxlbjEfOZj+qe/fbr/484kBOiUOxEjD/KI/3emVufXjs9s//Hu/F3t+uP3cL3w/fb7TFmIhzzeXxIV99/5t8rRUtvOBg/LyN28zfkCXduYMT9WW14Mr/Taccql24CdxoJ6rX1mNZv/Nb/zW7b/8L/7e7Xd+5w8C9/727W9/q+Oer8gG+ozBpsu+2s+YIwfKO6gYHJ5S/ZKEv7H3wx/+6PZf/+3fzlzx9Pbt77wMYOwbOuSdezc3gWeP+qYESib1Uz7yXXGRvx5WaCsOoMCgHf/cxVPW/n0VFBy5x+fE9JmDy/fiWT3LY+Ovc1Z0Hn/yT0+yozW7jAactI5X4PchJH9oB3NsBHY8z1qnT34MUBviecko35yD1kXD+wUv2xNm9mNME/5ZUvoVldAhLxzyzB6sRp/VfQgDp/KVZnycem1DHn6Hxr49GMveys+lhG4Ph9gIQBI/6C98W+gQ/nRIH51Jo7OHUNSODNaS9eWVPlq1XrqL9z1dn3VOey66nn+0wjYXZPRwg53eHh7Sg6zBi1G89NX/aXMYNb9VlPrcnhA9B3b72ZTnt6/fvMxckV25m9O2id3jQ3yiX+jVZrncmO6gCKnQCd3aKk3WlNnVWI1saTTHgUMHTOetpH1otljKW2n44OqrL99kf//V7df+wrduX7z05Bldmj24cHmQAoD3GatNaePl2ugujcDiHhn9yWuPNrStfeGgzLfoitP7OX5z2eDIpzIaHUfaP+FbCfqqXx/IOPotfiNpw8dcALY2Ttt4rF8SS9IhcebOWD856peAwePLu3WiL9IePpNnGgyr/kteHJ1JxSv9VpZKyNsazliR5v+VL6qzQW1/dQRv+g3v2Hfpvv2UmQC8uMaLnGx6bxvxuvKhdWgMBv+z5q7vSHNoHLjCplM/Epr11b9puPNjytr107njLFiLEbJG9gsWsUNdm/4jQ0fFRYvsq6I3Oa09O3QOLQgD2NXixuryY7tcBEtir861aTtj8ODe6VXQ+UiXtuOvyttXaukcJmpKk7u87fmJGLzpr3fp/v7gopMXO5nP6Uau6Td7NQqLHMjMd/0W3u3l7cvXP5HrW6GTnlzomc/UgbtP6P4hFTqsf1JUTi865NpaPZt3bxu5t/eFc9HPPOUDxSeP3tz+2M99vP3E955OthHM39a12cql7bJjgcgxWfDcvvSyAwYBqnz5q6ztDXzkqLz60rp7hgJX3mCW1uiE64V4+CCUnraddUFb17JUSzuwi4vD5wLL2+rDX890OvF5lwK3NVD7oTHc2SSlKzbpdOYJdGp39yhXW/kqVKfhnHTsWZiUjbNaQT1X9fm3f/3nPvXfy9s0dJNIuE0SaJGHwXpaHdwuQiFiQ6cMjoEMInjgPDXRDbSNV/o8Iu9Jjm1EolAUqE2C6+S5m8FQFdQNQIOioyIC91OvKUUJG3K0e1BCtg7ebQootx/U3Y0cXfupdOr0UK+84XEcfVHukxGCFtH1r53OC3Bal0RAYovmAmODED2ycOqe2FqA0AU9dvEVDCzQaiDe2Hl6958xRNa7gRXcOSn0CZGcjTYh48NGg+FaevFhqoEBFz9GLocDcGsjm5Zsij74j1U2RxFmNzKTFf36ujThpP+RiSZ40dki7Ydeq3teZsCPt/1HJmLRydNZJK3IecN3k/ds+f6Tk3f/8pfvQyJk2A3vUo3cDg6k/kitF/qh04FU+/HJZK0sV7yukzX4RV9edAcfGSoLvEtf+OSorfgj7eKLUCWXfL570kMzM8YmBl0WCHzbHE6D3Y/IppaQ6W+JJeFDL//1SxkSmXpSXlkMzYvGs9jQU0ehX1xxnatyJK7exp/+A1rHV+iw9XSb3Y5d2oZA2NGvsY1v+juOosdiZjDi0z/f0Gbcikl8d9Ogf5MwfIvA6Y+EpK6t+on2k1e3f+GXX99+4Wcdtib+3r6GfXv+YmPi3bsPnR86qZMnlx87xvftGxtccbQxwX++mvM+dmxMB4delY8+uHdM7SuP00f8hq9xf/m1k2XVH079lBwPPzD8LjdpboKfP59exkQ3/FGLL8Yfb4doDqs2H0z/EzuXL/Mql7BkK/TMTXwHZjblj4+3Dz75fvYCaGWrDhP09vXXr25ffvnl7cXnn91+8IMfpImeH+4O+WzgX0ZmsdNxGB0muzis59vXcE298l32EaOYHnue9gR/eWtX3w/dTzbxAYmMRy/p8ApU8DKvhI/IgyM2my6dWactV91Cpn7gleGUhvgNzOF36qWbfpbvb9CFvTr+snQXTpLrgyuVB4By2liQDl35wzg/vJQPrHTqB6d9jbkIEBtuI3IBJw338CXHZJos0miL00KV7vLKnrxj/cdkkYM5cKe9c0BgD637fjxHQzq05ktzQjAuf1LlwMFvWVvq6PixcJ+u/uGXH27/j//0W7ff+B1PFGc+zfgWdG8Sp8Lszeu3tz/2s+9uv/pn3t++/a0X4eUDLUTD+07m8dHx5Q9vt3////pf3r77E49u/8Jf/qczJ32WbjqAgZh5NbRri8ja/xKYza45xcG1TxXFpP8U6D/9GXfPnry8/c7v/n5t8O1vfavzpyc9ffXu88+yX8i4OjpiM9qxFQum/emT57ff/+GXt7/5N/9Wbfon/sTP3r744rPOg/29S6LpSCGmKf/+44jI66cTYv3aLLNJ+dzFd+BcffIwf13n2p64Tmz/3u//8Paf/7//3u2nf/oHtz/5Sz+bNTtzWp922h4L2+63fAiEO/kzB+Ghk69bjgSLnaoTPsEzn/nqYsQyB9995ZGY5OgcYB04+5Gs3e8yT8fWeKJXv4QRnubsoEVTYzLAXTeu/rx6WNi2+e/Q
Upper school colleagues had been eager to see the results of the project, as vocabulary development is always an area in which they are keen to develop their practice. Staff were impressed that the vocabulary had permeated other areas of learning.
"I would really like to know how to teach about growth mindset to support the children's Literacy learning".
"I can't believe that the children are confidently using this vocabulary in their work".
"This is something that we need to do as a whole school".
Growth mindset appears to be an area of development for many staff, not having had any training or time to develop their own understanding, a need has definitely been identified. Using the staff resource which I have created to support professional development, some have included this into their professional development plan and are keen to come along to some voluntary twilight CLPL sessions to support their own understanding.
Although some staff in the school have been teaching children about growth mindset for a few years now, it is evident that as a school we lack a consistent approach with learners. This is something that many are keen to develop further.
The project has been shared with the Senior leadership team who have been fully supportive of the project’s aims from the beginning. Some of the children were selected to share their personal success with the SLT and the development of confidence and pupil voice was a key focus during feedback. Developing a consistent approach to growth mindset is now a priority for the school. Focusing on sharing this approach across the school, they have agreed that 50 minutes’ vocabulary work would not be able to be maintained and embedding this approach to Literacy would have to be investigated further.
The project has also been shared with colleagues in the upper school through informal professional discussions. Staff have discussed the use of a growth mindset approach to literacy and are keen to develop their own understanding and implement this approach in the next term.
A staff resource has been created and shared to provide development opportunities for staff across the school and the opportunity has been provided for those who wish, to include this as part of their professional learning for the year.