{"value":"[Amazon Polly](https://aws.amazon.com/polly/) is a leading cloud-based service that converts text into lifelike speech. Following the adoption of Neural Text-to-Speech (NTTS), we have continuously expanded our portfolio of available voices in order to provide a wide selection of distinct speakers in supported languages. Today, we are pleased to announce four new additions: Pedro speaking US Spanish, Daniel speaking German, Liam speaking Canadian French, and Arthur speaking British English. As with all the Neural voices in our portfolio, these voices offer fluent, native pronunciation in their target languages. However, what is unique about these four voices is that they are all based on the same voice persona.\n\nPedro, Daniel, Liam and Arthur were modeled on an existing US English Matthew voice. While customers continue to appreciate Matthew for his naturalness and professional-sounding quality, the voice has so far exclusively served English-speaking traffic. Now, using deep-learning methods, we decoupled language and speaker identity, which allowed us to preserve native-like fluency across many languages without having to obtain multilingual data from the same speaker. In practice, this means that we transferred the vocal characteristics of the US English Matthew voice to US Spanish, German, Canadian French, and British English, opening up new opportunities for [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) customers.\n\nHaving a similar-sounding voice available in five locales unlocks great potential for business growth. First of all, customers with a global footprint can create a consistent user experience across languages and regions. For example, an interactive voice response (IVR) system that supports multiple languages can now serve different customer segments without changing the feel of the brand. The same goes for all other TTS use cases, such as voicing news articles, education materials, or podcasts.\n\nSecondly, the voices are a good fit for [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) customers who are looking for a native pronunciation of foreign phrases in any of the five supported languages.\n\nThirdly, releasing Pedro, Daniel, Liam, and Arthur serves our customers who like [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) NTTS in US Spanish, German, Canadian French, and British English but are looking for a high-quality masculine voice—they can use these voices to create audio for monolingual content and expect top quality that is on par with other NTTS voices in these languages.\n\nLastly, the technology we have developed to create the new male NTTS voices can also be used for [Brand Voices](https://aws.amazon.com/polly/features/#Brand_Voice). Thanks to this, Brand Voice customers can not only enjoy a unique NTTS voice that is tailored to their brand, but also keep a consistent experience while serving an international audience.\n\n\n#### **Example use case**\n\n\nLet’s explore an example use case to demonstrate what this means in practice. [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) customers familiar with Matthew can still use this voice in the usual way by choosing **Matthew** on the [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) console and entering any text they want to hear spoken in US English. In the following scenario, we generate audio samples for an IVR system (“For English, please press one”):\n\nThanks to this release, you can now expand the use case to deliver a consistent audio experience in different languages. All the new voices are natural-sounding and maintain a native-like accent.\n\n- To generate speech in British English, choose Arthur (“For English, please press one”):\n- To use a US Spanish speaker, choose Pedro (“Para español, por favor marque dos”):\n- Daniel offers support in German (“Für Deutsch drücken Sie bitte die Drei”):\n- You can synthesize text in Canadian French by choosing Liam (“Pour le français, veuillez appuyer sur le quatre”):\n\nNote that apart from speaking with a different accent, the UK English Arthur voice will localize the input text differently than the US English Matthew voice. For example, “1/2/22” will be read by Arthur as “the 1st of February 2022,” whereas Matthew will read it as “January 2nd 2022.”\n\nNow let’s combine these prompts:\n\n\n#### **Conclusion**\n\n\nPedro, Daniel, Liam, and Arthur are available as Neural TTS voices only, so in order to enjoy them, you need to use the Neural engine in one of the [AWS Regions supporting NTTS](https://docs.aws.amazon.com/polly/latest/dg/NTTS-main.html#ntts-regions). These are high-quality [monolingual voices](https://docs.aws.amazon.com/polly/latest/dg/ntts-voices-main.html) in their target languages. The fact that their personas are consistent across languages is an additional benefit, which we hope will delight customers working with content in multiple languages. For more details, review our full list of [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) [text-to-speech voices](https://docs.aws.amazon.com/polly/latest/dg/voicelist.html), [Neural TTS pricing](https://aws.amazon.com/polly/pricing/), [service limits](https://docs.aws.amazon.com/polly/latest/dg/limits.html), and [FAQs](https://aws.amazon.com/polly/faqs/), and visit our [pricing page](https://aws.amazon.com/polly/pricing/).\n\n\n##### **About the Authors**\n\n\n[![image.png](1)](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/27/pwainain_photo.jpg)\n\n**Patryk Wainaina** is a Language Engineer working on text-to-speech for English, German, and Spanish. With a background in speech and language processing, his interests lie in machine learning as applied to TTS front-end solutions, particularly in low-resource settings. In his free time, he enjoys listening to electronic music and learning new languages.\n\n[![image.png](2)](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/07/30/Marta-Smolarek.jpg)\n\n**Marta Smolarek** is a Senior Program Manager in the Amazon Text-to-Speech team, where she is focused on the Contact Center TTS use case. She defines Go-to-Market initiatives, uses customer feedback to build the product roadmap and coordinates TTS voice launches. Outside of work, she loves to go camping with her family.\n","render":"<p><a href=\\"https://aws.amazon.com/polly/\\" target=\\"_blank\\">Amazon Polly</a> is a leading cloud-based service that converts text into lifelike speech. Following the adoption of Neural Text-to-Speech (NTTS), we have continuously expanded our portfolio of available voices in order to provide a wide selection of distinct speakers in supported languages. Today, we are pleased to announce four new additions: Pedro speaking US Spanish, Daniel speaking German, Liam speaking Canadian French, and Arthur speaking British English. As with all the Neural voices in our portfolio, these voices offer fluent, native pronunciation in their target languages. However, what is unique about these four voices is that they are all based on the same voice persona.</p>\\n<p>Pedro, Daniel, Liam and Arthur were modeled on an existing US English Matthew voice. While customers continue to appreciate Matthew for his naturalness and professional-sounding quality, the voice has so far exclusively served English-speaking traffic. Now, using deep-learning methods, we decoupled language and speaker identity, which allowed us to preserve native-like fluency across many languages without having to obtain multilingual data from the same speaker. In practice, this means that we transferred the vocal characteristics of the US English Matthew voice to US Spanish, German, Canadian French, and British English, opening up new opportunities for Amazon Polly customers.</p>\n<p>Having a similar-sounding voice available in five locales unlocks great potential for business growth. First of all, customers with a global footprint can create a consistent user experience across languages and regions. For example, an interactive voice response (IVR) system that supports multiple languages can now serve different customer segments without changing the feel of the brand. The same goes for all other TTS use cases, such as voicing news articles, education materials, or podcasts.</p>\n<p>Secondly, the voices are a good fit for Amazon Polly customers who are looking for a native pronunciation of foreign phrases in any of the five supported languages.</p>\n<p>Thirdly, releasing Pedro, Daniel, Liam, and Arthur serves our customers who like Amazon Polly NTTS in US Spanish, German, Canadian French, and British English but are looking for a high-quality masculine voice—they can use these voices to create audio for monolingual content and expect top quality that is on par with other NTTS voices in these languages.</p>\n<p>Lastly, the technology we have developed to create the new male NTTS voices can also be used for <a href=\\"https://aws.amazon.com/polly/features/#Brand_Voice\\" target=\\"_blank\\">Brand Voices</a>. Thanks to this, Brand Voice customers can not only enjoy a unique NTTS voice that is tailored to their brand, but also keep a consistent experience while serving an international audience.</p>\\n<h4><a id=\\"Example_use_case_13\\"></a><strong>Example use case</strong></h4>\\n<p>Let’s explore an example use case to demonstrate what this means in practice. Amazon Polly customers familiar with Matthew can still use this voice in the usual way by choosing <strong>Matthew</strong> on the [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) console and entering any text they want to hear spoken in US English. In the following scenario, we generate audio samples for an IVR system (“For English, please press one”):</p>\\n<p>Thanks to this release, you can now expand the use case to deliver a consistent audio experience in different languages. All the new voices are natural-sounding and maintain a native-like accent.</p>\n<ul>\\n<li>To generate speech in British English, choose Arthur (“For English, please press one”):</li>\n<li>To use a US Spanish speaker, choose Pedro (“Para español, por favor marque dos”):</li>\n<li>Daniel offers support in German (“Für Deutsch drücken Sie bitte die Drei”):</li>\n<li>You can synthesize text in Canadian French by choosing Liam (“Pour le français, veuillez appuyer sur le quatre”):</li>\n</ul>\\n<p>Note that apart from speaking with a different accent, the UK English Arthur voice will localize the input text differently than the US English Matthew voice. For example, “1/2/22” will be read by Arthur as “the 1st of February 2022,” whereas Matthew will read it as “January 2nd 2022.”</p>\n<p>Now let’s combine these prompts:</p>\n<h4><a id=\\"Conclusion_30\\"></a><strong>Conclusion</strong></h4>\\n<p>Pedro, Daniel, Liam, and Arthur are available as Neural TTS voices only, so in order to enjoy them, you need to use the Neural engine in one of the <a href=\\"https://docs.aws.amazon.com/polly/latest/dg/NTTS-main.html#ntts-regions\\" target=\\"_blank\\">AWS Regions supporting NTTS</a>. These are high-quality <a href=\\"https://docs.aws.amazon.com/polly/latest/dg/ntts-voices-main.html\\" target=\\"_blank\\">monolingual voices</a> in their target languages. The fact that their personas are consistent across languages is an additional benefit, which we hope will delight customers working with content in multiple languages. For more details, review our full list of [Amazon Polly](https://aws.amazon.com/cn/polly/?trk=cndc-detail) <a href=\\"https://docs.aws.amazon.com/polly/latest/dg/voicelist.html\\" target=\\"_blank\\">text-to-speech voices</a>, <a href=\\"https://aws.amazon.com/polly/pricing/\\" target=\\"_blank\\">Neural TTS pricing</a>, <a href=\\"https://docs.aws.amazon.com/polly/latest/dg/limits.html\\" target=\\"_blank\\">service limits</a>, and <a href=\\"https://aws.amazon.com/polly/faqs/\\" target=\\"_blank\\">FAQs</a>, and visit our <a href=\\"https://aws.amazon.com/polly/pricing/\\" target=\\"_blank\\">pricing page</a>.</p>\\n<h5><a id=\\"About_the_Authors_36\\"></a><strong>About the Authors</strong></h5>\\n<p><a href=\\"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/27/pwainain_photo.jpg\\" target=\\"_blank\\"><img src=\\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAACSCAYAAACzKW9QAAAgAElEQVR4Aby9B1hVWba26wn/c+5/T5/uKgNIDgqKZImSDOSccxaJCoLkDEoURIKJDKJizjlhQiSIqCgK5pwtU1ll+u4z5nZSu2iru6tP9bWf0XOttTdYznd9I8259h61b99xkB04cBKHDrXj8OHTOHr0DLO2tk60tXXg2LEzOHGiC6dO9aC9/Syz06d7ceZMHzo7L6Krqx89PZdx9uwAG+lY2Oj6uXNX0dc3iAsXrv3K+vtvgezSpdu4fPkOBgbuDtuVK/dw9er9b9rg4AMMDT0EjTduPMG1a49A7+fHN28+Zcc0crt16xm+ZbdvP8edOy9AIzc6J7t199nftltPcOvWE9y+/ZSNN28+BtmNG4+GjV/jI712/fpDXLv2AEM3HmLw+gNmV6/dxyiCsX//CRw8eIoBOXKkYxjGsWNdOH68kxkBEYbR0XGOATlz5sIwEA6hu/sSyDik3t4rDMb580MMxsWL10HW33+DgRCGQZPKjcMQPicA3AjC9ev0j3/CJp0m++7dl+waHQtfp3M+2d8aOQA+0u8hu33v+d80YWA37zwF2Y3bT3D91mNmBEvYRkIhIMJQRhEMUgcB4eogZQhgdOPEiR5mp071or39HE6f7mPW0XEeBIMUIjz5HAofSRlkHAZBEIC4iUuXbv5KFTTxBIFPOB85EDrnqqCRgHBFCIOhY3Z3j4DAJ1t4JDj8nEO4d+8HkN2//wp37r/A3Qcvf2V0jdtIYBwQhyM8EihuHNi1m48gbKM4DHJXXB3CMAiEMAwCwU0YBqmAG7kofizsqn5RBYG4xYy7qN+CwQFwOBwKB0JQyCWRAvjIJ5mrYuSE84mnkV7j58IgCMaDB69x7+EPw3b/0avhY4JEUG7/ht269xzMvrq8vweGAxoGQuoQBkLKOHmS4sW5YeMghNUh7JZo8oVBcBhcHQREoIpbGBi4/dXu/spFCU88n3yadDJ+Tgog4wrhMIRjBR1zEN+adJp8AsEhcEVwEASDjCCMNA6JQXnw8q+g3BG+9tXl/aPKYUB4MCcg3F0REFIGd1E0chB8FA7mBOJbQAgGB8JdFcG4cuXOV/u2m+KTTyNNPAdAI7kpbnTO1cJjA8Gg63zSR078tyBwEA8fvoGwPXj8GiNtpFK4Wr7l3n7LpREgUg0f6Zjc2ahvBfPjx7uH1TFSFRQ3eCCn2MHdE8EYaZRVcRjcXZGr4kCuXr07HDP4pNLIjUDw6wSAJpzUwOFwKPQeUsHjx+/YXU+Ty90Rn3y6xo3d+V/PuRJoJBCPHr1lv4d+F9nDJ29+ZRwOV42wWkbGGmFQPOYwN0fu7BvZG0EZxdVBqe631EGTzxVBMYMbVwdXBk3+SOMwKNUVdlekDoIxOHjvm25IGAJNOoGhu57f8fQ6KYdeowkkGDTZBIwyNoIhDIdeE5544WNhNdDvevLkRzx9+n7YHj19CzJhMBwKjQ8fvhq2Bw8oESA3SP89L5n9FiSunJFgRvG48S0YI9XBYQgHc+Eag7snPhKI/otDuNA3xFRxkWqNr5kU5eACKIKJpcmkOoQUwGMCZVw3bzxgdq73MvbsPoyjR9rZ+Yvn73Dv7tNho7+nproZy6pqsWXzbty6+RCPH/3A7noCQhNPoDgMOqfjxw9f48mTt3j06Ov49C1zUU+e/4jHz97h6dN3gte/ghEGxIB8VRAdc9V8axRWknCMISAcDo2juDIIyEhX9bfUwVNdrhAOYeR48cIg+i8IgvkFKgAH7jI3RK7r+tADDF29hyuXb2PHtoPYt+cYzpw+z66dPzeIs92XceHcZezYugdLFlcgMy0Xtasa0VjXwo5PtJ1G37kBtK7biob6tUhPW4iVKxpQUb4KXZ3nQdCePXmHl89/ws3rj9idzNzQwzd4/PQ97j98wyb78eM3DAKpgCAQDJp4mmQCQkbXuQlD+S3l0M9yEwZEYO4+/AEEhdnXFJoraRRXBsEQDuQEg5TAR3JR3DgMUgd3UwSCV+HCUAjI5f6brPagO54XgQSD7uKH956it/sCFheWITIsGiVFS3Hk4HHs3XUQB/YeQfXKOswOCoWzoxucHFwRGhIBKwtbaKhpseOighI2urt6wdvTD7Ex8UhOTMOmDVuxa8denDp+Bu9e/4xXP/yEp4/fsiKN3NKjJz/izj2amFd49Ow9nr/8yK49fPwOz158wNPnP+PZs5/w/Pl7PHv2I4NEoLhyCA4HQ6MwmJHHI8EQEG5cOXwcRTUHrzt4mvtbMYNAcOPBnE8+hyE80mvkSi5dFFTk5JKo3qBsa2jwDq5evom+3otYXrUKNlb2mDJZFYH+s5GSlI6Q4DAkJaTCx90bU1U1MUleEVMUlGAyzRgqk5ShqaIBXU0dGOoaYLqBCTs31jdi526OrpgfFcN+NjoiBovzS7Br+z5cvHAFN67fx4sXP4EmniA8fv4T7j16w4xUQyBoJBgvX35kQAjK0xe/mDCUkaoRhjQSFAdzj+oZbkJ1DkFhQLg6fgsIKYODEFbHt+oMCt7CNnDpFlMOgejtHcTQ0H2QOzrT3ot9uw8hOy2LTaL4ODEoTZwMLbWp0FbXgvoUNSgrTsFE+QmQlZbBJAVFKE5UgLysHGSkpNlI54pyCgwW/SwdEzwOZpq2PjRUVBmsmMhoBn7njn2CGPTiJ3bnk1IIDKmC7Mmzn1hAf/XqM3744RODRwCFgdDxt6Bw1XBI/JxD4sq5T/Hm8WsGRdid0fEogsGB8LpDWCEcBm+F8JHHjr6+azh//jouXLiBixfJNQmahXwkdZAieKZETbXurgvoPH0WVWXLYWRgCDkZWShMmMhGAkCTTud8lJaUwgQ5efY6XaP3EAzBzylCWlIG8rITICkuBYUJisM2WVEJKpOVoDdVF1amljDQN4arswdWLqvF5YuDeP3yJ9y78xwvnr3H69ef8OrVx2EAP/zwgR2/fPkzyJ69/OlXxqHw8VuARl7jYB48eQNuHBIfGRDhqpwKQB43KIZ8Cwh3VwKFUPf2r2FQrGDxov8mUwy9h1LV3p4B9HRfRE9HL4oWFUN7qhYkxMQxZbISJMUl2N3PFUDKkJKSgaysPGRk5CAuLgl5+YlslJObADK6Ji0ty95Dr40fL86uTZqkBEXFyZikMBkqU1QZMBlxaagpqcJipjkSY5Owb/s+3Bq8h47j3eg4dZa50bdvPuLDB+DZyx/x8vXPIDBkz3/4+VdGgAgGB0XHwnAIBtnI60w1z97hIcWdp29ZosBB0TiKYAgDGamOfxQIVwQfefDmPSsq5ui4p+sSus+cR152Acymm0NFRQXy8vKQlKTJloeoqCikpKQgK0uTLAsZWXlISEpDTFwScvIT2SgpJQMpaVkoTlJigMTEJCAhIcXATJigwODQOQEjkASKFEQwVCerQGOKGqaqaMDH2Q0ZC9Lh7xGA0KBw5GTmoe3oKbz78SN+ePMTXr5+z1TD1PLqA14IGQEiGBwUB8QB8PFbwB5TFkdJwTcyt2GF8E4urz24Orq6aG3jCrPu7gGQnT1LVfkQBO5qiPWnCARXBU9vz1+8iSuXbuFi3xCzwwdO4Ex7D8ucNNW1MUFOEZKS0uyupgkkowlUUJjEJpPufDKacJpcmlh6P79OaqCJlpKQhvh4UpcsJsorYIKcAAC9Rsd0nVzZlMnKIDdGo5qKOrSn6kBTQw0zjU1gPM0AXq7eWF6+ErdvPRK4rtcf8fo1KYTc1Y948fojnv3wM16+JmCC+CIMhE8+v0YA+TGNDNrLD3jy4mdmlFAQHGFjQV043eU9Kw6EABAQgsCNwyAgFB8om+KKoDhCx7yLe+v6I5ZNLS1dDmcHd8yPXsDSVgkxSchKC9wQQaBJFhUVY5PPXRS5KzKCQNdo5C6KfoaMTzjFEfp9BIQmnVwVAaFzGgkIiylTVJkLU5o0BarKalBXngIj/Wkw1NFDsG8gNq3bgssXr+H+/ed4+x748ccvePWKIPzMINDEvnr7mcUVijt0LqyckccjgRAUDoTGp+z8PZ5QovDivSCocyC8s0tQCAhlVFwhBIOyJGEYBIS6txTgeUAnGJRR8RT3xtAdrF+7Ga5OnpCSkGV3Mk0SBWQK1PyO55NOSiBFkJH74RNPIERExjNA/DrBUpw4iUEhGASF1EAwaPLlZOTZ6/T30etkBIIUQoCUlVRYFkaBX1NZHbOMZmBeeDQaa5px6/oD1gX48d1nphKC8uKVQCmv331hQN68+cyuCWB9wA9vBEbnZPR+DmgkmKcvP4CMFMeN4LAYQunuyHUPCuwUPzo7qfYQuCkOhUCQERy6RlkWAaEahPesCNTVgTusQDMxmskmgCZr3JixDIay0hTIy8mwiadJJ3dFUMhIKXROqiAQXDEEic65chgsKVkGgdwWqY6gkGpowrk6hN0aQeEujcBoa2hisvxEKCsoQUtVE3oaephpNAtFixZj+6adLBt7/+MXppTX7z6xSaeRXBlB4hBevf0IbvwaQeEgheEIuzIOjI+jCMZvASGVcCDcbY1UCYEgNQhSX8F6ObVKqH/VdvQ0AvwCmSoIBK8hWDYlLQlxMVEWF2hiKR4QCFIBVwJdJwgcFB0LwyJQBILHEBpp8mnSKQWmG4C7Mu7a6Dq9j95D0CZNmAglBUVWA1HAp4KTbPo0YzhYOqCqfCV+fPMBnz4Cb999wJsfPzMI774q5+3bT+D25s1HjDQCx40rh2LQb9korgw+8uD+S+pLa+O0Gjj4K5dFaSyz/ltMHQSGmoXUJrnUfw2n28+iomzlcJ0xXkSU1Q9SEpKshqA6Q0b6lzSWIAhPPB3z4E0Qxo4VYaDomF6jAE9ACABNPAV1mmiaeIIwXkSMKYYrgtRAiqH38fhFPzt5wiT2O8j10Xvo/dQR0FbTgKmBMeJjEvH0wXO8e/sBL16+ZVAIzPv3AEGhjIzOub15+/PwMb9GIwdFKuIKEoykul+MARFWycg6hBRCQMg9ceMuijIryqR+SXVv4uJ5QYf3yMGTWJRTiBkm00EwxETHs4qbF34UP+g6TTRXAa8huAsjSOS66DoZuSoa6WcICgGhyacJpokm4wqg6wSKABEIiikEgIOj+MJjDEuL5SdCQUGBmarSFGhMUYGJjj5iI2PRdvAY7t56iB/fCSb//U+f8eP7TwwGAeHGAfDzke8hJZG7467tWyNzWbwWIZVQ2itwVXzt4xcgPHbwypwDIZdFxxQ/rl65xYqs7IxF0FTTGQ7eVOxRoSc+XowVgFQMio77BQZNMN39FCP4MY0EhK7RSBNHqhkzZhyDQu8XGSsK0XHjGQia7HFjRBggrhy642niuXIIGJ3T6zTS30Ggqc4ZLy7Gap/JipOgMWUK9NU14OPqg4zkTHR29ABfwCafA6EJHznpBINf/9b7OBQOhsUjiklfQf0qhvy1OijTEqS9PLviMISzKnJdVy7fxdWBexi6chdpyVlsAiQlBO5FVmYixotJQ3S8FCTEZUF9K6mxopAeOw4SUlRpS0JUZDSkJUQgJSaC8eNFME5MHOPEpSEiKolx4lIQkZRk750oKwc5CRmIjhPHODHJYeVIS8mza+NFJCAtKceUICYqjjFiopCWlobSBAUosIAvDykpCchIi0NOUvDfx5XH1UVqUlfVgIaaJmzMbZG3sBDdXX346ecvbLI/fCQwH/D+q7viEEYCED7nqhEeCdzb919YXKLYRMe/iiEUP3jsoAxLUKX/Ugh+CwYpg6W6X4FQDl9RthxamtrMTYmLjYOsLN2FUhARFWMTPV5SBiLiUviO7m5xGcjKKQhck4goRMeMhuR40WGTk5BgwX/MmO8xduxoiIuIglogDLKUHKRlpTBeXBSiouOYiYuPh5iYKMaMG42xImPY30kqUZSdCKnxdFNIYiy5NwmqWyYwhXCXSYqh91KwJzdHKbK/VwAa61dj4PI1FjfoDqc48dPPn/GjUOwQhkIgyAgghyIMgr/3bwLhNQh3WbyrywM6uStSAimDjBeCVABS3XHp4i2W5vZ296OkuAzT9AxYX0pWRgrcpCTFISEhxu50MSlpSFCVLSmH8aKkEJp4adAdLikqAfGxIhD9fgwkRUQwQYbSYXHm7mQkJKEgJ88ShHGiIgwQvVdKVGzYJETHQ2QsubWxkBaXgAIVkFIC1YwZOx5jRMUhNl4a0hLy7EYgt8VqGylZ5u4owBMQGpPikllX+sTxTpw7N4Bnz96yyp0m+8PPX5gLE3ZRdP3nDxi234JCP8PAfS0+KUGgInQUByGcXZEyftneQ2vlv4YhDIQUQkCozU7x4/rgbTjYOePPf/qLoGMrpwRxUWlIi0lBlpqDYuKQEROD9PjxkJeWgYy4KMZ+9z3ExktBmlzbeFmIikgOg5EUlwG5IxnZiZCWmcAmUJp8vaQYpMXGQUpUDhIiUpAcJwWJsRKQEJGExHgZ5iLHiEhBRkyC/b3iIuNALlRMTIypldyTvKQsUwgVo8rKqgwCXad4w9WSnpSBQ/vbsG7tFqxduwWPH7/Cly+CCSeX9fMHAvCFKYYfk0sTvkZqev8TxRuKLwKjc8F1gZo4VAaEYodw/CB1/NLRpW08gsKPq4NGAkHBfPDqQ3Z859ZT0OpgcWEp+weN/m4MC+I0OaJj6a6XYnc+3bFyUtIg/07BeNzY0Sy4U+Cmc3JJE8REoS4viVmaSrDQmwoF0bGQ+H40c1WkKLqjqSWvICfLFECAFaUloTZRHsoTZCEjIXBbIuJigngiLomxIhSvxCHGXhPDuHGiTJGUqREQ6g7z1JgCPnWIye16unhhXctGHD1yku1vfvLk9fDd//kT8PETwAEQBDrm5zThwsd0zo3D4+AEcD6RQs7j9GnaWfLtIpCrgwCQcSjcZV04f5OtkdNmgfWtW0B39Hd//p61L2iCxcZ+D7Fxo5lfJxfzlzFj8T/fj2Y2RnQ8ixlS48dhwvix0JkoCQ8jdQQYTsIcA3lkOGgjz8MIkdOVYDFxPDSlRKA2cQJzWaQ2DQUlWCiJwV17AmZPV8FcCy3EWOtijqkG3PUVYa0uDY3JtNIoDwV5KUyaKAN5gjJOBKO/F8GY8ZKsRU/NTGrVk4siZZBCdLR0YWRgzNZSaAl565adePDwGXNRNMmfPgMfPnz6JhCCxEFRQUn28cNfG13nADm4UQRjJBDeIqFikAdyDoSPvFd1ZeA+W3w6sP8YoiJj2F1GqSj9w6hQExn3HQu2o8eOwfdjRmPM6O8gMfbPUJERwXRVGThoT4Kz9kSEmCgj33M6mubaocpTB0sdlVHvp4t1IbrYPM8CxU5amKM3EY7qsjCeIAIzRQn4T1NFuec0tIRZYn2EOTaFm2FPnAP2Jbth/Vw7VHobItHJGHNtdRFipg4fY2W46kyBsaIsJlFMEhMdbsVMnKjIAjorDCcrQ1dbj3WDdTSnwsrCGuvXb6Ssl4H46eeP+PjpCz59IiCkClKCwNj1z4L3EbTPf8eE30/Ho0gZ3HgRyNsjlOpyd0WKICMgNFIwp00LBIT2SR06eAJNjWtgbmqBv/zPd8z9ULU8dpw4xCTlMGasGETHjIWOohx8TTSQ4WKAYg89lLrrotJTDxsizXEw0QHbwqejwU0dW+dMx8E4BxxNNsXJNEc20ZvjXFEZZI6FzlqoCzbF6qAZaI02x/E8L3QU+uJUpiOOp9nhUIo99ibbYWeCPbZHm6JljiFqAvVQ5aWPSh9TJNoYwMNAHYaqE1nzkrIsAsLVQe5KU30qc1m0BOxo74BNm7YwGGySvwAfP3/C58+f8fnLL5PPX6NrBI+NdPwbRrCEf4aOR1Hs4ItSPJh/q+agDItUQSAICAvkA3cxePU2WyenNnxOdiHERCWZS6DYQEZ9KxHxCRg/RgzO2opY7KqDlV46aA42RoO/DtYGG2DdbENsjJyJLfNmYevcmdgVY4YjSXY4lmyHQxnWOLHICafyXXBikQNOFTqjo9gD7YUeOJnvgRPZbji5yBOnC31xNNsVBzOdcSDNEQfTnXAw1RGHMr2wM8ERm2PtsG6uLWqCTbHcfxZKPYyQYaECHx0V6CgrQURuAqQVJ0N1shoUpZWgIKsIDVVFVo94eXjj4P4jePrkJZtpmmD6Qwr53/758uULhG0UX5Di9QdlV38PCIFh6rhyj8GgnXrbt+2DpoYuKJhTv4pW/ijtHD1OEhKjx8B9mirK/Gai2n8aVnpqMXe0IcwIG8ONsS3GDHsTbXE4wwlt2a44ke2C45lOOJ7mgONZzmhf5IrTBR7oKPRk1p7viRN57jiV782UQUDo+NgiT6aWo7nuaMtxx7FcDxxd6I+DWd7Yk+6B7YnuWBftiKZIW6wMNmdQcpynw3emNtQmybHsS15WAXLStMilCKXJgvX5GSYzsX7dJlYIUiCnO/vHH3/837L45s//JhAeO0gZPJiTMrhKOJDBa49w584zJCek4z9H/QfLnqi9ISYuDXFpOYwRkYH91Eko99JDo48maj01sDrYkCljU5gxds6fhf0pNjic4YC2bGe057uzyT+10AXtuS5oX+iJ9oXuOJPvhe4iX3QV+uB4rjuO5bihPc8HXYsDGIzThX44WeCD08X+OEXuK98H7QW+OFEYiBNFs9GWH4R92X7Yme6HTUmeWBPjgvooR9TPsUSBpzHcdRShLCsNSSk5SEnLszYNuTEK9LS+siA2ET+8fMsCNJ/JP0Ih/HfxkQEhdZCRy6J0l8cOgkFGILhxIOSyCMrd+6/ZxoXpBjPwl//+E2voEQwRKu4kZDBVURFpTgZo9NFAk6cKc0+bwmdgS4QJts6dgf1JZjiUbou2XCecKnBHR7EXc0cEhhTRWeCNjjxPnCnwQM9iH3QVeeFUrhtO5XrgTJEfm/SOIn90l83GySI/ZqeK/dFOx/l+OFYQgLaiQBwtDMLBvCDszQnAjgw/bEz2QmuCJ9ZG26EpxALJllqYrjIZcvKKkJCTg5ycHOsGEAyq3GmP2JvX73/lsvgk/pHjMBC+Qkirf5TqCiuEK4NGXpkTEArmT59/QH3dGoz983egCpkCJIGgPF9yvBj8pymxuFHvPRVr55hgfYQZc1N7F5hj5wILtGXa4nCmDY4tdERHiSc6SrzRXuyJM6U+6CkLRPcSP5xZ7I3OxZ7oLvVGV4kXzhSR+aC7xJ8pgVTRKQTkZFEAmOX74WiRHw7n++FIQSAO5Qdib44fdmURFH9sTvZCS5wH1kbao9jFBG762mwVUWaCPOv6EgzqaVHVbmlug/Wtm/HTe0Hc4H7/j4RBv2sYyC8BnR7O/AWIcFU+EgjtSH/08B2CA0LxX//2HyyAjxeTYkAkxo3DtCkKyLKcjOXeemgKnoHGkJloCZ2BbfNmYn+SBQ6kCgK2AIgzg3G61A9knUuD0VU+Gz2Vs9G51B9nyvzQucQbnUt80VXmh64lAegsDURnaRBTw+mSQJxc7I/TS2bjVEkQ2hcH4XRJMI6X+OMIBfzCAAZlX64/U8merEBsTfVBc7wvWud7oCbYHnG2M2CsrsI6voqKilBXVmH1CLWB5GQmwszUCsePtbMY8keD4L9vlLC7EgR0wZLsSHdFyiB3Rcogoz1WtKucVgZ1NHSZQqjqFZeSZ72pyeKi8JmujSpXVTQEGqFlzkysCzXGjhhT7Iq3xK54UxzPtsWxHCccz3XGqUIvBqG7ag66K0PRVRHGrGdFBLqWhaKzag7OVIagqzKEvd5TJXj9bPkctC8OwOklQThVEoDO8lCcWToHHWUhOLMkhF07URzAXNfh/AAcyPXDvuwA7Mrwx440X7Qm+mFjgg82xHmgPMgGnoYaUJafAIWJSlCepMgqdtqdoqaiyfpuaalZ+PnnjyzDIpX80X8YEHJXXCHksri7InUQBK4MDoRiB+1EpE3Le3YegbSYDHNXtIdKTFqwkU1/kizCLfVR6ayM5hATtIYYYetsTeyK1MfOBHPsS7NFW4Y5A3K6wAvtRd44WezLJvZ0+Rx0Vkbi3PJonK2Zj57qGJxdNQ+91dFsPLdqPvqqF+DsivkgIF1LBZBOlc3Gmcow9FRFMJjtpcFMNQTqWKEfDi/0Y0B2Z/hie7I3dqb6YnOCN9bFuGLjfGc0hdtgvtU0GGtqQVVlKpQUJjIXRq6LNnfLSE+AuZk17t178EdzGP59o/hiFAGhgpC3SniLhAdxyrTomJRBQCh+0DMdHe0XoKupB5HvvoM0rY1LybE7zFN3EvJs1VDjo43mIANQirudaoz5s7A71hQHEq1wIsuZBWYKzqeL/dCxJFBwh1dEoWdFLM5VJ6NnVTz66pLRW5OIrhXz2fXeVQtwdlUselbOH7buZXNB1lERipNLAtG+NBid5SFMKSeXBOPEkmAcLfbHvoVe2JPliT1pXtge74atSa7MZa2b54W1kc4o8JoBa3V5mGqrY4aaCtRUVDFligqUVTQweZIqTE3M0dNxlhV7//sqZJjD8MGvgFDLhMcPAsLbJLwqJwhkPMOiGHJg3wnMMjbFf/+f/4NxIuMhrzAFKvJyCDZWRYmLDgOyJsQY2+bNYgXfSCCn8rzQXRqEs+Uh6KoQKIMm+kJdCvpqU3G2Ng3nGzPQ15CO3moBmHO1SThbnYCeVXE4u1JgncvmoaMyAh3l4SCFdS0jVxcGUsmJ0iCQeo6VBOJAng/2ZnthT6onti1wxeY4Z2yIdcfqKFfUhzqgKsQeYRZ6sNWfCnM9XahNoT1eipiqpQeFiVNgPsMSV/sH2QR+oGbUH/xnFCmDjDq8IxXCsytSBhk/J4WQOujhl+am9ay1Pu770YKlVnEZGKpOQegMNRTZq2OFhwbWzjHCzvnm2BNrwdRBGdaRVDuczKGCzwu9S0PQWxWOnuXz2B1ParhQn45zNWm4uDoPl9fmM7u4eiH6V+fiYnMOzjdm4Vx9BoNEgLpWxKGzKhpd5OZWRKOvOha9q+YxEASDINF4pMAfB7K9sZcUkuCCbQvcsWWBG7JyS7gAACAASURBVNbMc0ZNmBOqI92R72MDTyMtmE7Tg466OjTU1KGiosaAGOoaY++OfQzDHx9BgFEUyHm7ndcfXB0EgdTAgfBzUgk9dkaPhRUXlbElWVo4YhsKZOUwU0MJ0WYaKHHSwHI3NawJMcSOGDPsnm8+7K7aMhwZEEpdSR1nl0XifG0iLjRl4nxTNi6uzsWFpmxcaCnGpXWLmV1cU4QLLfkM0vmmhTjXkMXA9DVkoqdGoB72O+qScKE+EedWxbGYQnGls0qgnOOFgTiU64v9GV7YneIhABLniLUxjqiOdMWKEBcsC3ZCuKURTA31Yaw1FdO0tFg3WGky9bi0UVFaiU+fvuAz61j9sRJhQPhiFAfCq3MOgpTB3RTFEAro9MAlPaMXNz8B3/9lNOtf0TqHmuJEWGgoIMFSA+VuU1HjrcWAkMvaGW3KYsiBRAscSbfF0XQHnMx3Q3uJPzor5zK31L8uH/1rC3FpXRFTxYU1pehfV4pLrUtwcW0JCAq386vzcKF5EQPTU5vOFHOxMQ0XGpJxoS4J52oWoHvFPHQtn8uAUOZ1vCAAh7J9cCDTG/vSvbErwR3bE5ywJtoBNeEuqPS3R1WAHWLsTWBuoA1bYyMY62hhqoYmpiipMSB1NY3/OoWQOkYqhICQSgiEcBzhRSEP6G/eABlpmfiPf/tPVqHT0qraBDm46asg2UoNSxyUUecraCBuiZqBnTEzsSduFg4kW+Jwmg0OptngUKYdy666l8/HueYcXFhXjIutpbi0nia/AH2rF6NvdRHOtxSzsbc5D+dW5+P86gKca1qIvuZ8nG3IQWdtGs7WpTOolAT01SWirzaeZWgEhII91SZteX44nOWNg+lezHanuLF4sibCDtVBdljhb4NyfwEQR2Mt2BgYYJq6GvS1dTB58hRMUpiC2uq6/3+A8IAuDISgkFHc4NkVd1nUX8tMz2JAaO1jktwE6CtNhK+hGrLsNLHcfSqoQl8doMdaJXvizLAv3owBOZphh6NZDjiR54wz5cGgOHBxXSH6N1bgwvql6F+/BP2ti5k6mDII1Lpi9LUU4PwagYrIfdF5b/NCdFM8qc/Aufo0nK1NYkCYQlZFo3NZFNrLQln1fmyhLw5leuBAugcOpHliV4oTazqunmOLOl9z1AbboizICbFOpggy04eljhZMtDQxTUcbU6cKduyXlS4VdGj/WG/FftuwyxpZf/A0lyBwZdBI7oo/DfXTT0B83AL826h/Z/ucNJWVYa6ljgBjNWTZqmG5u6CZ2Oyvi21RM1iqezDJUqCQDDtWg3Qv8WHpaXd1AlPF5c3LcK61DH3rluDShlJc3iBQCymGAF1YW8CUc6m1ABfX5qFvTSED2deyEOeas3GuMR299Ynoq6MsLBZdK2JwpioSHUsEQI4v8vsVkL3pjqB1ltYwJzT5m6ImyAqFQY6IczZDmJk+HAymwdxAnwHR1NRi6yflZRVs8v4lMYRvpObxg7sqDoFiB1cIxQ/+URb0sP7bt0BYyDz8x6h/h/IEOagrysFEVQE+BsrIsFZDlbM6qtxV0Bygjc2hhtgdPRNHqSCk/lWaFY6kWuH4IhecrYzA+bo0FiMIyOXNVQzGudW5LHZQDLmwRqAWGsmF8ZhyvqUE51cXsVhysTkLF5pT0VufgJ7aWPQ2xqGnPh5nq+NYBtdROgdtuX44muOLI1m+LNPaFu+IjTF2aI2yR32wJVYF22NJoCMWOMxAhJUhPE2mwUJbg8URHR1KfZVY5xefaeHpj8+zRvFN1COBUEAnKMLGgZBC6FMVKNOyt3HFn//v/7Bgrq+qhOmqE+CiKYsc+6lY5qKBShc1NPvrYzOlvnNnYn+CJYsd5LJO5Tijo9Ab3eVzWMHX15iF/tYipgSWUTXls6yKgjfFiwsthehfW4zzawqZnW3MR19TMYsj5xpycLY2BX0NqTjflMygdNfE4WxdPHoJzsoYnCkLAynkaI43jmT7YF+KO3YmOWNLjC3WRdqgNtAcKwJtGZBEpxmIsDBAkNkM2E7TgYmuNlvWpR0wvt4B+Pn9h3+BwwJG8fVzHj94ykuq4FkWd1s8wyKV0MdQ0M9oaehh7F/GsM0EJprKMFWVh4emDPIctFHprIkqVw20BBphe8Qs7Ikxwz4CkiHoYVFLvaskkCmktzoOdIezLKslH5dbinC1pWS45uitzUBfI6XBXyGtKWTBvbcxHxebC3CxKRcX6jNxvj6F2bnaBHTXLEDHirk4szyKFYqUZbXl+aAt14tBOZDuhl2JTtg0z5qty68MMEVVoDUqQ5yR42GBaGtDBJgawXWGAUx0taCproEJ8pPg4ebNgPxLFPKPACEQBIVGrhL6PBACoq6mDZHvx0FDUQHGKhNhqSyFMGMlLLTTwFInTazy0MLaYCNsi5qJ3XEW2J9mjSO5jizdpfUOahbS3UvVOKW6V9ZXYKC1HJfXlODS6kL0N2YyO1+XgfMNVJ+QUiioF7P4QtkWFY/9zQtxqSkHFxsycK5GUOVTcUnuqnsVFYyRaF8agrYCbxzOdcf+TFfsSLLD9lg7rI+0QPMcS6wKsMCyIFssD3NDcYADEuxNEGY9E+6zjFiROE1PH6rKGpg53Qy3b95ha+p/tEx+pRCeXfGAzt0Vh8FHUgg9WE/v19Gexrb+054oYyVZOKpJId5cFYtsNVDqOBXVXhponWOA7dGzsDvBAvuz7HC0wBXHC93ZusfpZSHoqV3A0thL65djaEsTru9sxpVNy3CupQADVJ03L2QKYBNPheHXWoRiy8D6UvSvLsSFxhz0N2YzIzD0c5fXLMKl5jRBgK+m4B7O2ieHC3ywL8sVW+OtsXmeFVojLNEYYonqEFssn+2I5WEeKAtyRrrTDIRaToetHj2aoAMjfT22PmJuaoUH9x7+0SzY72NAKH7Q3U4TTDC4uyIgBIEXhXTMMywCQo+7UdONdrSrTpCDlYYigg0ns4Be5DgVix2mYpW3GjZGTsfeJBvsz3LCkUIvHC31RVuxL2uNH68IQVdNAvrXlWFgQw2ubF2NW3vX49a+FlzbXYtrW6pwaV0pLq5ZzKp2CuIX11KRuARUNF7dWM5scEMJLrfksdbKlXX5uNpagEstC5nyemoS0bkqFh0ronGiIgzHlszGwXxf7Ehzxsa5VsxdVQdbYMUce1TNcUFVqDsq57gjz8MSoZbGsNFShrWJAQz1dNk2J/oYj3dvfvzXKITD4Nt9RgIhGNyo/iB1UDCnj504cqSTdXjp2Q8qCB20JmOB1VQsstdEoQOZFuoD9bFjgTUOZbrhYJ4X2siPl4ehrSQMp8qicKp8Ls6sSBS4nXVluLC+Ele21eP6vjW4d2Qz7uxbgytbajCwuRoDG5ejv7USVzatwODm5bi6aRmzoS3LcW1LBQbWFTGlUK+rn2A0ZaOnNhOdq1LQUZ2Ijpp4tC+PxsnKSLSVhGDfQh9sj3PC2ig7LA80R1WII5aFeaAy3BMrInxRFuCECCtj2OmownaGAWYZGbGHeZxsHfHDC9pS+i/IsngwF3ZXXCE806K4QVAIBlfIu3fA7t3H2PPi9JyHqrwsrFXlkGyjhQJHTeRaTUGBgxbWRZhiX6obDmb5YG+ODw6VhONw2TwcLonG6fIk9FSloL0sFp3LFqCnLgU9jTnoXVOKixuqMbhzPW4d2IirO1twc89a3NjTgsFtDbi5sxG3dzfjzq5GDG2txuX1FUw9lGl116ShpzYN5xoycbYxHZ0rM3B6ZSrO1KahqyEVHbUJ6Fg5Hycro3CkeDZLfdfPd8ayICtUhjgyGBWhXlgZ6YeqEE8GxN1YC9ZGujDU1WLPunu5euLt63f/GpfFP69E8MCmoOXOgZDLujTwADfpUbWL93Dt+itcv3YHg3fu4fkboKetj30eydjRopg8QQZe0yahyEYHi530kWqnjmI3HbRGeKAqyBaZPhZIC7RDZWIIquOD0BDjgz1Zkdi7OBo780JwpCgMnRUxOFMejd5VSWxi+1rycHljBQa3rMCtvU24urUW/RtW4Nq2GqaMS61LMbCuAL11qehcHsM6vbSO0rMyEd2rMnFmRTaO1SThyIpEHFqZiKM1KThem4y2ZXFoq5yLk1Vz0Zbvj13J7qz1Xh7qgvIwHywL9UV5kAeqIn0RZmMCByMDuJmZw0xbG1NV1ODhH4q3PwP48P7rbjgIdsaRYL7QNqHPDNY/o59Rfw/IFVLHwHUMXn+Gq4MvcIuKw1uP8fQt0N05wJY4//KnMZgsKw0Pw8nIt9dFqYMesu21UeRrggR7I/gaTYHnTC14mOnDZYYu3GZMQ4CNKQLtTRFuPwMxzjOR4WmGZRGOWJvggf2Lgpk7o/5WF/WnmhextgnVH2ebFqG3cRGo29tbn8nWRToq5uL44hC0FQXjwKJA7Mz0x+ZUP6xP8seatNloTpmNmoRAVCcEoyZxNqqifbAi2hutWRE4WByBnRlBWD3fB1URnlga6onqyEAsm+OFyggf5DpbwtlAG9bTjWFhYghFxYkIj4rDF1oKYf8nKBA/f/yEL7T1UIgCB/N7pDRKsMtE8InTI2sQFjsu38a167fRf+0hrlx9joc3X2Dg8gP88B64f/MxjPQM8af/GY2J0tJwM1BCup0Gyl2modjFGHNmKcJCbSJsdJXhbW4ET1Mj2OprQ3/KFPbkq7T8BCjJTmBbhaYpysJNXxVxdtOwJMgUW1LdcHxxMM5UzcXZ6gVsMYr6XbRWQusepITuZdE4XkBLsz7Yle6FpmgHLPYxRbqLCWJtDRFqpgNXA124GenDc7oxAizMEGJjwYq92ebTEe1oiYIga6ya64F1KRFoTAlH5Vw/rAjzQeVsD5SHeaDY3RL+M3VhYjgV+obamKqmjpi5C0Ab5miT1ldRCHMYnv8/DAhPewnI4MAdXLl6A/3XH2Bg8DFuDD1ge7GePXiNPVWVmKYwie0ipy39NmrySLPXQLGzLrJtdeGpJwt/Ix1E2UxHpp89cnxtkeZqhihzI7joaUBvojSUxEWhKi0BLVlJWKpNQuB0DcTaaGFJ0HRsy/Ri+6w6y+aw3STdleFs3YQ2L3SWzEbH4gAcTHfEmsiZqAqYjgxHIwQYTYWDjiZMtbRgoKYG9SkaUFFQgeZkZegoKUN/8mSYaSrDwUAL9rpqcNObxOCVzHFHXUoEVsWHYFmYN1aG+6Iiyhd5gfbw1leHsf5UGM8ywSRxOSxMyQFbK+R7ePFlGMynLwJ3NXxhGM8/dvBXCuEq4SnvjWuPcfnSdQzdfIKBoXu4eu02Xrz/gjO792KhkQZclBTw/bixEJORgb3KBOQ6aqPQQxcpttqYa6GNXGdTLA9zwdokH2xMdMWOZBfsTHLDpgXuqA+3Ra6rIeLMVBFqMAkhBpMRZ6WNDCc9LHLTRV2UNfalOKItx5Nt9TlTEoiuJcE4UxyAE7neaMvywM5kRyxx10amtSYWWOrBR18dViqTYaKkCMPJE1nnwFpzErxNtBBiaYhQa0PMd5mFRC8LxDhPR7TTDMTaGGO+tRFKorxRmxyO5ZF+qIsJZmpJ8XOAi6EWLIxNoKNtwPYP1FZU4kZfH55euzk8ywSC9DLccOTSGX7HP3bwTSAU1DmQwSsPcG3wPgao/X7tLq7ff4jHP37CkZbVKNeXR623PRSlRDBaQhyuOqoodjZAvqcO5luqItnagBVbaxe4YmOSAzYlWuBwliOO57riWLY79qe5Yn+yIzZGWaA51BSlzlrIt1PHIhsVLLSchHJ3LWyglkuSPU7m+YJ2KJLR8aE0F+xPcER9mBWKXHSRa6+DNMupiDZWQsS0SYg0UETMdGWUOU/FSh9DrA61wMY4V+xI88P2zNnYkBaEdSlBqE8NQXmoG1KcZ2BJdACacuJQNTcYK6ODUTE3AIkuDjCbpoVZ04ygM9UQpnbWiHCzR4qFOUrDQvH88ZPhuMEZsDBCW9/Jfuef4aBOHyDDU19hIJcv3cXVoYe4dPU+blx7iBs3HuDxO+Di8eNYbjUFu0Js4G08FWNERWClqYQl7iYocNbEAmtVFHlaoXq2KZrmWmNrigs2xtugOnAayn30URftiIZEb6yYY42FjtpINlVGLD2kM2sKiuw0UOYwFRUuWlg92whbY6xwIN0FJ/K92WbqQxmu2JvoiE1RZljqOg3FTjqsM5BqqoQ0synIsVJHvq0WlvnOQJ2vIdbNMcOmSEtsnWeDXfFO2J3shR0pPtie6otNqQFoifNBRZgrVqZFobUkG8vjI1EVPQdVcaGIc7SHpb6W4BODjGbBREsdWQ4zsNrHDhUu1jh74jRAjcavk08KIbWwGuX388BfAeGF4bBCrj3GxcF7uHLjCe5ce4J715/j3kvg3OlO1AbNwJFwC5TNdmefW2Kho4rFzsYosldFvrcR8l1mosRdi220LnPVYZV7no0u5hqpIHCWNoIcZsHFWB/WGspwVJsET3UFhGhPRIzeBGSbq2KxnRbWhk7H1lhL7Ey0xtE8Dxxb5IG9qfbYnWjHtqau8jTEUkctZFsoId1cCTkOOogzUUKA8njEGE5Bsr0xcj1MUextinwXPRQ4aqA6eAa2JLpgZ5onNi5wROt8N1TP88SK1EisXZKL2rQ4VMwjIOGIcneC3VRNGEzTg5a2PhKsrLHezw6tgRZYaqqFzoNtYAHl6+TTMMzhn1OI4BMaqEAUXguhz9clu3HlAQauPMHQ4CMMXH/KYgl9JN5QVz8avWbhSJoTDhYEwH7SRDhOVUGelyEKbdSwwkcf+d66KLSSRLrFRIQYT4aj1mSYqU+By6xZ7Bl1JVkFKGsbYvR4EShPEIGfkSoiDJQRY6KBsKkKiNWeglX+xtiTYoe9qTZoXzwbx4vnYHemG3am2GBD1HQ0BhqiyEEX0UZqiJmuB391WYQbTEKipR6iZ+oiwmYGou1MkepqhYWupuyGWWStiXxHHZQHW6Jhtg1qQ21RE+OOFXEBqE6dx4AsjQ5BQ1oM4hxsoK1liGn6Jog21cPqAFs0hvtgY1wEVlga4Pz+3cDnD4wJZb20TkJEhqH8fpf1Sx+LB3TWdqcna9mGuLu4cu0Rbt94jOvXnrBq/Q59SP2d59iSGYm9yba40pKMJLsZ8NRRQrarLhbba6IpyAg1ocYodjREgqkObBXkMeH//gmGk1VQnJUHN0d3/Nd//QX//d1E/D//ORpBTs5oystBsqMlUqxMUOpli8RZmihzVMPWOHPsz3JA77IYnK9NRnt5GA7lumJrtClqvA2RYDQB/mqSiJimhIXOMwRNQWsThHq4wlhbD/paeuyRAg3FibA3UEG0jS7yvKYjyUwZpS4mqPI3R0WINaqi3FiWVZM4j6ljTXYSUnxdoTtVC1Ym01Ee7IzWUFs0R3lgw/xgVNsZoHPHFuDjewaECYIlWcOh/XfiAEbxpiKHwV0WqYOKwv5rN9E/dB+3r93FzaHHuHn9CQZvv2J1yNGGCmyNM8PZZeEodDdhbfc0B02UOGox/74t1gwrvA2QNlMR8UaTEGs0CSmmmqiL9ECuyyx4qgoeVzBRkEOmrzP2Vi5EzfwALLTWRZm7AZrmO6DWVx/b4y1xaKE7aI2jf00WW984lOWCbVGmWGKvjRhdKaRYaaI8wBJ5TgaInK6JhtIitJ08DR0NbUyYqAQRmcmQkJ+MWTOnw1pfAzMVxFidUuppjmVBNljqPwsVs62wMsoTK+eHgKCsXZSGeH8nmE3TQaybEzYtCERrhDXbero1zg+rnAxwoe3QsEKYKtjja59YHPndNGj3u/A+XoLBaxAO5PL1+xi4/hg3B2+DPh3u1o3HDMjT18Ch2nJ2lx5MckSpoxbiTVWQ6azP6pANkabYE2+KNXNMUO6shmp/Q+xY4IwdCxyxab49Whe4YlvOHLSm+WP9Ag+s8J+Bck8D1AWZYcs8J7SGm6F+zjRsjDDHzngrtoP9wuoM9K9fxBadDmQ4YcucmUyNuVaqaIl2Rr79VOTZ6WBzZjQO1q/E1qYm+FjOxNh/H4VJouIwVddEip8vUrzdoDH6/4WJnBhSraahyGM6q2NqQi1QHe6E6pgA1CZFo2lhGhYEe8LfegYqQ3yxOdIDG+bZY0OsC7bGeqMxyAGPrl4GBRGqE1mvkbmrrwr5J/wWAyIMhWdY5K5IIUODTzB04xX7DBPai3X91kPcevAat2+8xL7CdOyMMMeRWDes9p+BFDMVpNnro9jDEI0h07Ep2gSNEdPRFGWGpghzNIWasuXSPSne2JsVgu1Z4dg/z50FyDUBZljvb4UNQfbYFe/DtubsTXLC3gX2rBY5vTQCl1rzcWlTPnrq43AizxfbwsxRHWiASnddNASbYUeiL7anBKI5yh3Lg5ywarYXViWEoSTEE/meNqjws8MKPyuUe8xCqbcF5ptpYa7RFNbmaQi3QispMtQWtdH+qE+JxZrCXGRERyHG3gzlThaoc5qFDXSzRDmgZbYTDpXkAu+pyfiZAWGK+Ey1yCcWQz5//P1E/goIxQ+q0AkI2eDlhxi69gOGrj7A4I0nGLr5CA+evMONy3exLzsWh6KtcXKBPw4l+iLbVgtxZpoo9TBgQBpC9LAhbgZ2pdljT5oTtkZbYkOQMdb5GmJtwCw0+Jiixc0S1Z4zsXq2NTZHOGNvgh8O5ofgQIE3Ti32woEUJxxf5IPz1Qm4ur4IlzYU4PzqJFD1viXMChtizLA1xgbrQs2xK8kba+c5oiZgFlqCLLAjxB7b5ruhbWEYDmT4s4c/d8XbszWQ1VGOWD7bHkVes1AZOAsb4hywOc4RNXNsUBsdwAL76uI8LIpdgFRnc5QYa2DZLF3UB9pgTZA1GvyccK/jJOtnkR545Y4vn/CJl4dfi/bf47qGgfAYwhVCLouAUFF47cZzUMV+lb7Z5vYz3H74hrmvvYti0JZki5MpIegsjUa+pzFiZ6qi3EsHa0NnonGOAXuYsy3XB6eKw9FROg9HFgqe9du3cDZ25YXhYNYcHF88F6eWRrO1EdpEfakpCV3LQ3A4n7Ire5wqDsSl+jQMbSzF1U3FuLg6GT0VkdgWZYttseY4le8Htj6e7IptCS7YmeiFDRF2aAmYiRYvfdR76KIx0IjdJM2hM1AbbISGSBtsSA7AhmQ/bEx0x6Z4BwalLsIJNbFBqM1MRENhLorjk1DkbY0mWz3UWE7DMndTrPE2Q0uIN3568WxYHWwnPAmCARG4MJZx/R4aFEN4UOfBnIAwox0npJCh6xgYeoCb1x5i8Opj3L77A24+fMs+KnvP0hRsnauHY1lh6F6RgGwPfRZHVvlosWcJt8SY42CeO1vTPt+cjr6mNHSvjBVsy6mNZyuFXbQGsioeXdVx6F+fi8GNBThXHodTCwNxMN2FrX93LQ3FhZpUDKwpxsCGIpyti0NPZRQOJvtgR7QF6BHoM2VBoF7X6cW0/yoKB3LDcLh4HvalBqE1yh3N4a5oCXXApigHVhyy3Ys5PjhcHIVD+cHYGG+HdTG2qJ/rguoFIWhalI415cWoSEnHEh9z7PQzRaOdESrdpqPOQZ8BefnqxVcAgjSXdXtBLRT6Hz3A/jtpEBBaMeRLtzyoc5XQCuHNa4Jl20tDFMzfYOg2fXvNc3x89zO2tbSg2VUdHXFOOJYdjMX+FkiYqcIKr4ZQA+yMt8GJJd5sF+GFpnz0NSxCf0MGLtbMR29VJPqWzcfl6jT01+VicF0ZrreW4MKqBey5wSM5bji6yBenCvzRuTSc7dW92JyB841pOF+XwJ4jOZztin0Zbjic4YW2TB+cXRqFyw2pbE9vx5JwtOcH4khpDE4sjUV7eSxOLo3CqbII1kE+XRGJw4WBOJrjid0Z3uzxNkouGiOdUTvPB4056WitXIkVi/JRGWCFU/Ee2BzkghovO9Q5GKAl0hev3776/TP+d36CKYS7q28BuT54l9UeVItcuUFfsviafXHi6+dvcOXCZWyK88Z6fxNsi7bFYr9ZyHWYhrrg6Vgdbsy22pxY4itIV9cW49LaMgzQNtCGNJyvTcWlhhwMri7E0PoSDKwpRF9NCjpoaTffjz3afDjXk7XXSQ0DzZkYWrsIA83Z7NmRzqWROJjtyVrvJ4uC2H4r2khNuxT7GpMwsDoN51cuQPuSKGYdS6NwpnwuepbNZ7vs+2oScGZZNI7l+7OKfVOCOzYleLDHEghIbUYyWlfWoL54IYs1p9KCsS3ME7UupljjOgPrk+b+08Xf32LyKyAcDCmEAjst11IMEXwr5SPQM+m37rxg32BJX+nz7u0nnFhbjypPY+yMs0WRuy7ynaehPtiYtTpoh3n7kgC2iESbFAbWL2PbfK6sW4KhDZW4sbWGbfmhTdW0Dah3ZSxO5gfhaJYXC+QHs11xbHEAepbH4GpzFq6vKcCVxlxcrE0DTfD+XB/sy/FkD3nSA5706Fp7ZSjbtUg7GC80pKJ/WQx6yyPRVRaJrmEgyez5E3oAqL0sHLuzfLA5yY09vNMa44S6aG/U56RhS1Mr6hbGoz7CAwcSg7Da1xINjiYoNFHF0bqqf8Yj/S0W7DUW1DkIHkd4pkUui0NhjcVrD9k31dDDOjdvP8fTlx/x5PErtGRGsXXz2lBTFLrpoTl0Jg5numF/ljd6KsJxrjqRrXkTkMFN1bi+uRY3tjXixvYWXN1czfZZXVmTgfOronE4wwO74h1xMMMdhxa5oZ0e8lwxj7mia825GPwKhBapDhcFsc3S+zJccHSRJ06W+IEeEj1XQ3EqAZebs3GzJRtX69PRX52MvlXJ6CMXWZ/FjFR6ujwKB/JmY3uaFzbOt8f6aHvUz/dCY0Eudq7fjpa8WNTPdkGDpylWuhphhb0Rlge648nQFUFm9Xen+Pe9YRgIh8LaJl9TX9rcwIHQN+LQ90ERmNt3X+LGnRcYuv0SLwEcaq1DqacemiOtsNhdF2sizLA/2RmnS8PRtTQcvasS2O5C2owwafErXgAAIABJREFUtGklbm6tx/WtDWzbz6XWcgyszcOlhkS0LfTA9gW22JPsgv2Z7uyBzTOrItBTPQ/9DSkYalmIK/QwT30q20h9sjKctfC3xlpjd5I9diXa4WCGK3oro3GpJgVXVufgcvNCXG6ijXR5uNC4EH31OThfl4lzq1LRVRmHE6URDMjuLD+W9q6LsUdNtAco5d2xcQfW5sSg1MYAFRbqaAmxQUOUP+6c6WDuitLbP/rPsMsSBkKdXjLhnYrkuuh7nNh3ud5+zoDcpC9mfAfcuT6I/EAblLrqosLHEBuibbE/yRWnikLQUTwH3VWx6KvPEkBZvRhDa5ZikHaWNBaitzoNvVVxoMcEtsVZ4VCOF1sfP7jIB13lEehcFY2e2nhcXpOLoQ1FbPMbPW9I1+i1E3mB2Jcu+EyTHXH2aAowRFumL67Vp+ESbSttoEfgCtjern564Ke5AP0NC3G+Jp39vafL5uJwwRzszQ7CtiQvrJvvjJXzvLFuaTF2b9zJqvYSG320Btlg9QI/9O7ZyhqIVHd8+kI7Hf7YP0whlGUJr4WQSkYCofgxeO0xc1XX6atO77wAfU3c0L03ePPTJxxqWolsa01UeOtj43xHHMn0wZFsD7QXhLKdJLQT5OyqFJxbkYJzlYnoXhqNjpJwnMoLwN4EZ2yJsMShdC90VUXhZHkojhYHswBMD33SjsWhzeW4vm05Lq8vA22+7mvKAD3CcLI0FG3FIThTPh+nCiPQ5D8DLQHT0VUaLnjWcFUiSyBo728/fxyuIVsAZEUieiqjWR20LzcU21IDsSbWC9WxAdi+sgrb125CeYgTGkKdsT05BOtL0vH2zQt8oLUnVoX/CxTC2yYcCgV0YSC0F4vFkhtPcWXoCVPGjVvP2AfO3L3zhLmvF++Bl0ODqPKzQomTGlZH2mJvIv9EniCcLJ7DfDX5/bMV0ThTNAfHKEPKcMKmcAM00v5f3xk4tSgUJ8vmYOdCN5xcGs6C90BzMUsAaA8W2wq0bSWubqpgj7vRQ6GnyiNxqHgODhVHoG9ZGjaE2SHHRBotETNwqNALZ0tno3tJGM4uX4CLDVlsIx1t3O5dmYLu5fHoKYvEqZJo7MuLxJbUELTE+qIhIQx76lZhXXUTinxM0bTAB6ui/dCxdyve4zM+0Lo5SeT3d0b+rpzYAhX/Iq+RbotA8MBOYKiXRY9C085FCuz0jAh9l+DT+y/x5vMnHN29Ezlm8ljnNx1b4u1ZHKHPqzpZOJs9tE8p5unCAJykRwEWuKLBywR1TvponW2ObbGO2JPkikPpnjia4Y32/GBcXLkA55uX4/6RPbh9bB8GD27CtX31uLatnO2SP70qWfBkbZ4nKEXuKArHxggnZBsqotRCBdsirNCW44/2ghD0LIlCX0UMesrnoadiPs4uT2AgjpVF40RRCPZk+mFzoif7ZIfq9HgcWr8RG0rzUOdthLpINyxLjcW7508ZA1aQUyfxXwlE8EVev/74V4ohfw8IPfh59+ZzvPoE9Hf3sN2KDR7GaI60wNZoe+xLdsaRTG+WztJIsWX7PGvUuGqhwkYFm+aZsqLuQIInmgLMUBdihQ0JbiwV3Z/jC3qY8+Gh1bh3qJVtlKO9vgNNuTi7nIq9CLTlBGJ/qhd2J7phe6wb6v0sUGSpiVI7DdT5G2BDlCV7OOd4rj9O5QXhTHEYTi+OQGdZDNqXzMOxxRE4mOOLnem0lysArcnBaMzLxL7W9ajNSUWlrwWWRfvhavtR9kFZtLWHOLDxXw2E0l6eZfEY8veA3L5Li1Vv8Pw9Bfe7KHA3Q4WjHlb4T0dTiCWrT3bGUgeXPuGNWth2KDSbhOJZE7FjrjUOZ9NmBXvsj3PFznmuyLfUQJjaOOTYqKE11gXHSoJxeXU62zh9oTYT/dWp6CqJwKFsX+zN8MSW+EA0hjqiNtASK33MUeFqgjJ7PVS56mFt6Cy2nrIxih6jc2PKIyikmKMLg3A0dzaOLgrG3jQPbEjyRXO8H9akRmDtkmJsa1mLFdmpaM5NwP3e08CnD/j44Sfmcj5/Zq3Ev+t+/pk3jKIvhuTf+yFchwgDISjcZXG3RS6L7MbtH/Do4Xvcf/kznj77AWVhfsgxm4Iydz2s9DdHa4Q5NkZaY/t8VzT4WyJeRxbR6uOx0tMQB5LdcSjJE3sT3LArxhH7Yl2wOcgKS2apIt1gMlJnqKPKxwj02STdFfPQVR6FEwWzcSArCK3zvbDUxwqJlvqIMlRm6+eLbKahym0WVrlNR6OnCTbPNseaEFpVnIadsQ44mOLB7FiOPw6keeNglh/2JruxT3T4/5p7z+CqsmRLmIiZ78c3JubNi3kx35vX71VPd5d5RRXeSch77733BiEECCQhEMghCTnkEBIgXOER3nsPkpD33juEJGxRQJk1sfLqUOqa6uqajpmaryJ2n3PvPffSyrUzV2bu3LnpQe2NCsL+uHDsSE3Cg+t38O1oP/D+DRlcihhUxdUkclWF4t+wZP5XMfozQMghklicKgNSTNYvAjKkOl+2e+S58Ny+5A1Ypf47ZDrMxVZXXez0M8C+ABMUuekibNbv4PXJP2KLgwH2hdrgqxATnIjg5n0nnF/jgourHHA6yBLnQmxRGuKIrXbaiNH9UipZ9oda4NgqB+kCl+piJOvbjl98IquOoUtnYZ2JOrIcjbDNxRDbnXRwyN8UZ0JtcCTEEnl2i7DHSwdnVtrgfKQ9LkY74UKUM7guc3KVHY6utEdJhDd2rg3BwYRI7EpLRdm9cqndlUaVdHGnOPwHgvPDt/juvapq8a9K+H/xgf8JEEVLFA1RQGGAqGjJdGLvGZ7EwMBT9I68AL3yC3tLEKH5O+S7LkCSrTry3fWww8sAsRp/hO9n/4AEGz2UrPCSlbm9oWbYFWGFveE2+CrYEoeW2eFohDO+CrORvohHV9hg/yofbPOxwibjRVi+5HN4z/kEDl/8Cc7zP4W/9lzEGi5GkqUukq30kOtqhiJfCxT7m2L/cjvsCbXGbl8LbLVfiiTDL7DLQxenIuxRGmGHk5GOOLzcCofDHbE72A7FqwKxd/1qHNi4Cnmb1qOyokY0gzRBMN594PDvgW9puv72dfNfwugvAkIuUXZM/RKPdA9NiKc19ORrvPr2B1Reu4N1Jp+h0GMx4i3VkWazGDs8dZFuNgvxRrOw2VEXae4mKAy2xFfh5igOMUZJiKmAsCfUEjvCrLE30kGKrk/EuOJgbDB2LHNCko0mghd9CteZ/wL3uR8jXG8uEh00keWsja0uBsh1NcF2fysUBZlje5AJipfZYMcyBxT7WGObhyk2Gc5Fitk82dgp4IfbYV+oleSp9qzwxr71q2XZdld0MLYnb0Rvz5CqhyumWsGy2P1bxVx9ix9+UK0K/pJw/5bPPri9ipelaIiSYPxrGtI99AwDfZMYHnmHZ2+/x2jrABLtFyLXcT6S7Q2QZDYbxW5LsdtDHRk287DedA7i7TVEaKVrbHEuwg3notxwNs4dR6PtUBrtKK33Dq/1wuUta3EyeQ22BdtIQd3hKBfpAJfjZ45cT2OU+JqiJMIKu8JtsWu5I3aEWKMo2BTFQabY5muOfC8rbPO0QkmgE4p9LJFisQQZtkux098MJYEW2L/cAcUhriiJ8MPOqJXIXxGI4tW+KN68EaNPJlVr5N+/+3P3liojVe/f/82FDL8E1If1EPKHsi5CMGiyfo2G9Pa9wtDgE4yOTGB4Anj+9Tvkhbsh0/gzbPfQQpLhHGx1W4K9IfrY766NvW46SHNWg/nn/wjLz2ch2noR8u00cNDLBAeC7XDAzwznQkxxbrkNbiaswOXCONxJW4uHqWtRlheL8twY3N2yHDfi/XEzxguXErxxMcoNF9a44MwqJiZdcHylHY6vsMUhfyPs99ZDSaAZCoKskONpglSzhdjpqo/dAVbYHmCL7SFO2L4qBPkrQpDPjTrhvjiyLRfv33yjIu9fkt7/gc9msCWTEqUrgCiRulS//7VYZPCV9ETnYfKDY+/B3dsn81KwQfuP2OurhWwWTlvOxNEIM1yOZOmOOTKcFsPsj38P7f/6X7H07/8/mH/0e7j+6fcI//xPWD/3E0Qv+CM26sxHprkxdrtZ43iYNy7FhOLKKn+cCXHFsVBHsf1HwxxwIswex8OdUBJsLVqxw9cKO/1skeVminRXE6x1MIer2udYbroI+SGOyPPQwW4/TfH+6GxwC1t+mDdyAlxls2fOMm/cOH5UtIJm6bf+TwCZnj5RYhFqyC8BQpeXkXpP33P0DU5gZOQZBkdfg3TXUVmOaIPZ+MpPAyVe2kixnI0SPx2cXWWKUyuMsNPPEJmuJsj0sMOaxdrQmfU5QixMkGdhhhJrQ2RqzMWm2Z9g7fyPsW72J9j8xWdIXjATG9W/RPyCTxE/7xPELvwE0fP+iHVzPkXY/D9hzZyPkbx4LoK/+BMCZ82E58zPsfiPv8N/+3//Ez7+D/8PQg0WoDDYHtt8dHBwuTYOBGpgv4c+8kJckOvvILtvWS+WsyIADY/K/+8BMr2L3HQNoZYQEMVs/SUvS9bYB56BZ4XzjPLR59/i7dffISvUHRlmf8KBQD1k2S3ANjd1nFljgpMr9LDXxwA7faywK8Ae+8x0EDrrM3iaa+PQjmQ0ndqFc0lrUV24GVfD3XFyuQ8qD+XiyDJPZOuq4UJ6NC6lRyPPUBO55rrYG7MCm/Q0sT/ICweX+2Orgw022FvD8Mt/xay/+3vo/+4jxFhq4lycP06ucsThMFNcinPE3gAT7PR2xBZvW2R5mmJ3kDWKQhxQkrgeEyNPpSe7xBu/sYrItmhl4yc1RdGQn5qtvwRIP1tsDPBs8FfgEdT9o28kHrl/+igilvwjjoabosB5KdKtZ+NIuC6OhWnjWIgJjgTb4sgKJ2n4Uqyvh6DPZmK1nyPuPzqPexVXUVdzF9WXj6H29mmMfNOJprJLqDq8G6NjjRgYqUXFqQOou3UGzVU3cfWrbeh6fAmXj+VgV1I4NvrbwXHh5wiYOwf5rla4nrgMNxI8cGK5Ea7GOOJSrDu2+Vogy8cNSS4mKPSzwN5ldsgNdsalA3sFBwZ9/2cc219G+M/2qROQ6cHhdC1RAGEMosQhTDL2Doyjf/AF+oZeSCXKk/FvMfkaeDM5jo2uxki1nY39QWZIt5yDHT7qOLZcH6XBRjgf6YxL8X4oiXJGgZ0BSk0tkK29FMUbluPG8T24c/YErtfdRXPVfXS316D24Q3U3byM0ZZadLdUoabmHvqHW1FxoxTXbx9G9f3jyF/nh0gXTazVm418Ux3s8XXAqfWBuJEahv3hhji91hQPUv1weIU9tnqbY7OHGbK9zcHSH3pyuWuWo7Gs7INXxTT7b/3fBw2hlnD8JUCmR+sKIJI+GZzA6PBrqWYcfPo1JsbfY+TpN7Jd4ubxwwjX+BcpE811WIxsp4XSV+R4sJ4kAy+lhODERh/s9jKUwuU9lrrYa6GL/U4mOBruh6NRq3G1uADtA7W4dr0U54pyMdJRhZbOMhzem4MLB4uwb0MoStb4oTQuDJvN1JGlvwh77QxxyNsSR4NtcS4lECfX++Dgcitc3uSAc3HOyPexRJaHJTI99VFEbyvQAnnhnihITkZbYyuPPVBF4781GiwDUhpfKoAoPKKsiyg88pcA6e4bxcjACwFk4OkbPBl5LW03Jl7zZCwgL8AMcQafYqeXLjLsFuNAsAnORZigdKU5zqQE4WKMPw5FOqHA3RjFpnrYpbkYpY56uO5vizJ3F1xfuwr3ijNwLSceV9Jicf9gDq4Xb0ZpkAdO2Vpjv6sZdlvo4pCdCUos9bDXyRSFrgZSEno21hsXt/jgcJg9rqz2wLX1jtgbZo4Md1tkutljh585dgVZYEeILfYlRKEgIxvlZdXAd4w9VB7jb42JtGciKNM7OhAUJRaZ7mn9NHVCk8VKxt7BZ+gfpsl6jdHxb+TKk5Cp8rWPyxCs+SUKnNWR7jAH2301cSrMBCcjrHBycyhOJPrh4GpHlC63xUFXPew0W4wjrma4FuGHiuQYVOXmoGxbLsqLclGek4orK0NxLcwHVfErcXtDIM76OWO3jQEKLXRR5GCMEi9Lyf4eWemIK4kBuLDOE8eXc23GVUwVN+6ke5ohz89ctsNlhrghZ00oDmSkICsyCrU37kgikQ7vtIrd3wyXGdMbmCnkrmjJdA75OQ2ZDkjf0HMhdgIy8vSNADPxQrV3+1jaRgTM+i9SJrTVdTFKl5ngxAprlG4MwOXNIdJd+shyGwHlaKAVDrib4bivA25HhaFq1x483rMb94u248HWLDxKSMKj6Cg8iFqFyxFBOOxuKVqx39MKB/3t8VWQvTgLp6I9hKOYkDy91hmlKx1Q4KGPDGc94Y8cTzMU+1lh6zJf7EmIQlHsSiQG+AkgSkLx/4qXpZzkqZgugkEeobclHtdUjS/3GXawtQYr4Huegsu4HNSQnoFJ0RB6WizEVkChxnCmTbY1IsZaE1Emc5DhqIbDQSaS3eXJBBfWeeNcrLdsTzi6xhEno10hAV+IC66v9Mel9atwc3MsbqWsx61Na3E/OgJ3IgJwJdgVF0KccCzYAUeC7XE0zAkHwxxxaIUjzqxjb3cvnIhyka0D+8KsURRggRw3PWQ76qLA0xT53rbSraFo7SoUrQlBZrAjUgPd8ejCBeE/WfH433CCzv+qaomGTO8q91NAmqZqfP8aIAMjL8VUiftLLpl4K8CQ6OnUX9+zHR7z/zsSrRahxNcQ56I9cTzSDaciXXExzgenYt1wcI09DrOCMNIFJ1e649Ryd1wMc8LZMEecX806XiecDLLB2WV2OLOCe03scXqNB05EuuPISmfZI3I00hnn4nxlQ+fBFdw6YCl8wvrcbDdDFHqaIsfVEFnediiICEVeRDiSPCyx1c8cW0OccfHAfplEAgiPWvuN/xMvi8EhB3lEcX2pHeSRRlagcEv0TzTkg5b0syRoAtMBoZaMTb4DeeTJM2ZGVdG7v+YcRBvOQr6nvgjw3DpfnIh2l7paHh/B0wqOr3YQQI6ucsFX4Y44EOiA3b7W+GqZK/YEOaLI2wK7A+2wP8wJ+1c6gwDwN46tdRIwT8S6q84GWcvDWuywz5t7SEyR7W6GDDdT2ReS4WGGrGA3ZKwIQZyTLZKZKQ60kAqTI/nZskT7jold2TT42yLyZ4DQbCmAEAwFEG5NmA7IdLNFc6UQO00UwSCHUEM4yCOv3gOj/YOI93LASs3P5Iihg5FuKI10Qel6TzDNfiXeD9c2esuWZWoM+4+wV8necDfsDnPB/nBPKXDeH+yKQyGuOBLqgtJwd8kM83CWU7HuOBXngQvxvnLPEw/2Bllhh5sutrkbS4NkbiuIdzREdrATcpZ7Ya2jGeLtDJHubowcL0PkBzhgf0oiXj5/IVry/wtASOwKqROQBpYF/QIg1A4OelqKuSKHKIBMTnyNZ+8AnkxTuCYM4eofI8piPnavdgY9oVMbPHEl0R83ElWAcGPNzaRA3EwJw8X4IFxJCsWpaC8cWu4g3HJ2lTuurPXCtUg3XFvlgsubWOTmi/NxXrgQ74Pzm3xwMsodB5bZYZu7IQrcDFDkY4osN2MkOBkhLcAFmSEe2OhsgmiLpchw0Zf+KOluBtge7IqCyBXoaWqcKmT4bbWD/5q4vQqHTCd2xWT9NUAUUldcX2oIwVBM1qvJr/HklSoJcYCbKPW/xCrT2UjzMcLR1Q44u84Dt1NDcZnVI/GeKmDi/XBncyjupYbjYnyACLh0tRtOR3tIJwaat6uJvriy0QOXN/jhwgZvXIr3FWDZqYEcdDDMHrnOuigKska2h77slEr3scOWEG/EulhjjakaMh11ZAEt08MQOb7WyPd3RYKXC6pv38C3379XaclvjMmHNrFKM8yqmg7U1HWhnl4WD67nyQg/1ZDep+icNqghdHsVHlFMFkEZfQZMvnwFfP8Wl3bsxgrNf0aigwHW2elid5gFzsb64lZ2OM4ne+F6UiDubA7HjfS1uJmzDve3rceD3A24lhaJyynhuJK6HNc2h+Lm5hDcjg/ElWhP3FrrhutxXriaFIDT6z1wJsYTJ1nY5mOKbV6mKPG3xBYXU6T4uiAzLACxTiaIMl+CzY7aSLRRQ6a9HjLs9ZDjY4Fsfxuk+DngaG4W2hqa0NrVJ9mL6qp6PHp4HxXlj3D16nWcPHUeff1Th7rIgtWPPbL+lg5A0zH/Mw0hKJUMEn8GENkAOuX2shGNAsh0k6UEhwogKlIHxp+/kiXP+8fPYI3+xzJbN9jrylbkgxH2YLHajVRfqa+6vskf93Jj8aA4HuXb41GxIwUPC+PxaHs8Hhasl11R1xIDcSsxEHfiA3AjluU8gWKyTkQ54/IGH5xc6YwCNz0U+pggw90YmX522BLsiWhHc0RaaCLBTgdJ1upItdGQNlJcfaSWZHmbSEum7PAg5G6KQ356FrbnpCM3MwVbEjZi+5YUfLU1G5G+3vL65atJkeX04/MUQJTrdGH/mvsPbq9itghINQ8F47npU14WNYSAsL6XhP5TQEjsiskisSuAiNmaeI+nz19JAURLWQ3WWy6UAx0THXWwiXtJwmxwIclP1QJwlQ3ucvbnR+FmwQZUbE/GnYIE3MzdgHuFm/CwaCPubF2DW2nLcD91GR5uDsaNTUG4wbrcKBecjLSXSpJDoZbIddZGobcZNvvYIDXIGTFOZtLxZz1bbVgtRZLFEqRZa2GLo6ZMjAxXLTFthUF2KFrhh+KYSGyLW489mXE4VlKAAzuKULI1GxdKdiJ33VqkrotCedlDvH2raqg8HQDl/m/pyTiDnUWV4FDRkJ8CwlhEAYTBIQFRQCGHKKRODZkeHIqX9fQtRide4Pn3wFj/BNK9rZBmO19m5CbOUG8jHIxywZWNXjgbYYerCf64lL0a1wvZxz0X13LicCkrGldzYnC7YD1ubo3Encxw3EtTVS1eZczB7WYRNtI/kVH5dm8j2ReY7W2NlAA3ASPMaJGQeIKtJjaaLVRpiJ2OgJDlroN0d21kuevJ9/IDnVAUGYaslcuEc/LiYrArLwdflZTgUMlupMcnoCivABVlVejq7lX6zqjW4LnkPtUcc7rm/Brt4DO/GpDpschfAoQ8ooBCT4smi91Lx5+9xpNvgHfvgF3RKxBn9ClyvPSR7KCFSLYE9DPDyVg/lK50QmmUG85nrsbVwnhcTo/D1ZxYXMyKxpWt63AtOxqXt0QIj1xLDBAATkbYSF6MtVaX47yl9Gezkx5SPa2R5ueMWEdLhBsuRbSpGjZYLEGs2QLE26gjyV4TW1wNscVRB+kuukhz0ZVJksve73524omlr/DH1uBApAT6ICHEF5lxschJTcem2HhszcrDg3v3UVVdLx33uH4idDKVsv9bwBBAeEI0teSXTNb0aF22JXSrtIQ8Mt3LotmantMaf/4tZH3kxRuMvpbkL45lZiJC4yNkuS1FrpshYqzVEG48Bxm+5ji4ygOHV7ni2EZ/nEpZiYPRwSiND8aRjUEoTVyGs5tX4HTiMpzh5zFuOLrCCsdX2qj2oEe5YUeABZKcdLHJzQQJ3vaIcbLESkMtrDFSQ5zZYmwyX4g4czZVW4oUJx1scdZBlqOBuMR0ezmyvczkuIo0P0fE+zsixcsBmT72yPK2wWZ3ayT4eSM2JATBnu7YXpCBzp5BPKqoweDQkw+aQsEqWvJrNUN5bkZZGc+g+tFsKRxSyz0jU57WXwKEmqKYLPKI4mkpri81hL0Zv37zLcZefi8F2VcOHMcq/X9FlssSFHvqI9NNH8uNZiPCYhFy/bisa4ldQWbYF+GA0lhf7It0xe6VLjgQ7YOTCctwKmEZTm7wF03iQcM8PvXACgfkeBhjg6UmYh0NEe9ji3XO5lhmoIZVxmqINVdDrNEcaXK22V5DANniqC3N1rY46CHNUUe0I9uDa/0GUGmJLeKcDMXEproZC1D5PtbI8rRGlI0xjOd8jrzNm/Ds5Teoqm1CRVW9lNJSQaaakn7ooaUI+9dcBRBqicIjj5lGYafrnwFE4ZH2KQ2ZziPTA0MlKCS5d458j/a2HpTXtqO2owdXDl9AtOUCZDgtwnZnDfGGEt10EWw8B1GmC5DrqIkST13Z+FPorYNcPyNZSGIZD4uhOfauUIHA3U7pXoaINlmAKBM1JHvYIN7HHiusdLFMOEMDa8zVEG06T05rSLCaj2RbDWxxUrVpyrFbigxXPaQ4acu/UehnhiI/M2ynlrgbIcVZHynOhkj3tUaqrxWy/KwFLHa8DtLXRtOtuxh/9gaNLZ2iJc0tHXj3XpX/EpM1Zb5+DRDKMzMePGrA/Yf1qKhsFe+KVwGksQdVdZ2oa+pFQ0u/NA9oZWfSzhG0dY2K20ut4La2Xq6rDz5HZ+846lsHUVHbiUdVbSiv6cCdijY8KOvAowcNqGzsQ1l1O+L93KS3Lzkk23YBMl30EG1rgGAzPYRY6GKtgy6SXHWw2WUxMlwXIcddDfleGshxX4p0Z3URXpq7AdZaLMFq04VYY62JOE87RLvZIchEByEGSxBtoYE4SzXpErSRbWutl0hPkwRr1U7hVPulSHPQQIaDjpjOfB9DFPjqoTDQGEVBlqolXgdDJLnqSlumXA+uoVhI/8honZk4mLQOz98DnX0jqG5oQ3VdK2ob2tHU2oW376a2LJBVmBMTcpm6TkleVWLED3+MYXgvgDwsawTHI/JJZavEIgoYzey32DH8ARBFO/hefXMfGloGUFHdjrLKVhm3H9bjXnmTCP5+RTMqGntR1/wEldVdqGoeQv/oa+zatA7rDb9EqrOutOJLtlmKTQ4G2OBkjkhbQ0SYL8Vaaw3E2i5FjLOBjFgnI8Q4GGCtrb4c2LXcTEtOwYlyNEK0sxnCrQ3gr6cmZ36st9XHRuuliNb/EutM5wkYBGWD2XxsslyEFDsvsxKKAAAc70lEQVR1EBBeFUAKfYxQ6G8ggBQGmCPbywSpToayg4prJxlu5rL0Sw+OQWVH2X3JQNS3dKCmsR11jR3o7BlGTX0bWlq78OabPy/Gpis83R2ecsSEa5T3BZB7D+oEjDLySFWbaEllbQce17SjpqEb1fVdcs/XvK9t7JFrRXUbyipb8LimAw/5XXaEaO6X0cjmy91joi0tdJH7XqC2eRjNgy8w+uwdDqWnIMZwDpKdtJDmoC1mJN5aSyL4eCcTxNjqYaWpOkJ058FZazE8DbQRYGGCICsLhNpaYrm9FYIt9BFsroMQc334G2nBV2cxlhmpI8ZKC+st1EX4yVaLEGe5GOtM5yPaeC42mi+S6DzRagmSrNWQ5qCFTEddaWDGAm2WoG4PMEa+r4mYrDRnI6Q76yHbzQCFwc7Y5mmBFKOZ0k72zZu3aOt/isa2LuGPgeEJDI2+QFNrH+oau9DS0oOhoQm8ff9O1YNRdGHa/yhaM/2tH37AjLv3a8FBQKgdDyuaRNAKKPfLGmXmUwvKq9pE8NX1BKpb7qkZVXUEqheNXMzqGJHRxCsj+4EJtPVMoKHzKXom3uPC5VuI8XZHspMRNrtqSeMzkiqLsFNcTLDZ3RwJzsbYaKslwnRfPBPGH/8T9D/+Z5jM/BQWc76A7YIvYDfvUzjM+wQOi2fDXXM+woyXSn/F9VZLxVQl2SwFCXy9+UKsMZiFtYazEW+5RMBPsFQBkuGsizxXQ2zzNpYuQDuCzQSQXG8jIfc0FwOwwVmmh5G01yh2McAmkwWovHEZA5Ov0dzRg9aOXtTUt+DJ+NeyEZZeKGM1BtXkXD4zPDaBt6ybEO9rygPji5/ZYCKAUEsICGf8o8fN4OynRjwob8Sjxy0y62maKPx7jxoEGN7fvl+LB48aUf64VcxWJStXaKKa+mQQoPq2AVTUdqO6fRRtw5NISUyCi4Ya0v0dkOiijVRHdSQ5qEsBdqKHKVL87JDoaiwNK9m3Md1JC+Gan8Ll83+C8Uf/AL1//i8w+eN/g/XMf4bzvD/AX3s+lhupIcpCA7GW6mKqGIck2usixnyJaEaMyTzRkg2mC7DJYjFoIqkd6U462OZpJHkvasiOABMU+puAgGS5G4h2ZDobY4uHKYp9DLFR62McTI7Dq7c/oL5rAC0d3ULoLe09mHzxXoBobec+/ufo6hnHwMgr6aBEHu7oHsHzV2+nQPlBUkncOUr3WBlTJqseZRUtYnYoZEWYivAVU8Q2sTUNPaDGEAgCw2dq63tQWd2B6tquD98leDRf/C41i6O5dwyPaxsRExoAt6VLkOjpgBQvAzBKTnNaio1s4G+vgwQfW+kmneq0BAVOc1HsRaHpId5iEfwX/AHOM/8Fjl/+d7jO/wS+mrMRabIYsRYaoGYwR5Xmaox4ex1EmSzBGtMlAgRNFgNCAsI4hOaK2rHV3RDbvU1Q5GOMIj8TGdv8jJHvbYytniotSXc2kt/cYPQ5Euw10Nfcjv7J96hr60R9Q4sA0tE9hPFnb2VHMp0cbs1g9oJB8sDwN+jonlBN6uYe9A+NiScmCjItn6zELTNo/6kFdx/Wi7AVc/TgcQs4CIIy8wkK72/cqZKhAPK4qh0cBIYgUEsICr9bU98ni1vc0HOi9BiWWRvAfdEcLDc3QFaIFdJdtLHVVRtZzprYaKsh2VgGdaleZsh005bOQiUBRshz00aanbo0Sw5V/wzLdecixkoHUcYLsclGC0lO+kh2NpBrnJUG1hrNQ4zJAsSazUeU0WzxtkjoCdZLkGyzBJkuOnJEBUm62NdENvls9zVGga/Rj4C46SPNXlfapodqzUTZxVK8+uY9Hte0oqGhA/VNnWjv6kfvADvtPZG0EVNHzOeNP3+HgbGXeDrxndQ/t7QNy8prc1s/mtt6MTKmWgSbTugEZQbB4Gx/wFikpkP4gFe6rQ8rWz8AQuE2k6w7R4U/7jyow7VbjwWE+sa+D5pCwMgpfJ4ANrWq+qU0tPRia1oifLTnwHvRHPjqLEUys7Euhsh20EChqyYyHDURbaOLNU4WWOdijQ0uZijyXIrd/rrY6a0pHaqzbBci2WK+mJxkWy0kO+oj3k4PCU6GSHQ2QpyNJmLNFgmpbzCZg7WGswQQArPRYj7o9tIM5noaiuCpHdwvwkFA6P7meRlJjosxSpzpAoTP/Ufc2lOAb779Dg2dHaivbUB1ZQvocfb0P0F71yAGhqkZryUcGJv8BuOv3uHF2x8w+fw7PH/5A0bH3shnlCFNuYz2Ybx69eqD9yUmi7xRXtUqnEEiVwY5hFxCU0SzVFXTCQqeSLOjQ2PzAK7ffCzmjvd8pqau+8PzfM3nq5v7UEtya+pCRnQUAnSXwmX+THipf4FYB00kuRkh1VEDec5qsp+E7mistRY2uJgg1tUEqZ6G2MU24UHa+MpTDQUuGhIjbPW1Rbq7KZJcDBHvqId4RwPx0gjIOovFiDadi0jDmVhvPBvxFguw2V5dekFmuGjKloTt3gbCCyU+5sj31UFBkB4KvXWRN6U5TKNsstLBsjl/wPntW/Hm/Tu0PHmK2vZO1FTVo7GuHX29k9LysG9oEiNPX0v1DUGanj5ixpvL2JMvv5fcHjWIKScllKjluSy9T6UbBgsrZigAMO5QhvKeuLrkhobeD4KmkJtb2Y9xWMj8/sMGETyfmf4c7xua+lHd2Ivq5gHUVTchffUKORnBc/EsuC/6BFE2athgr41UFy1sdVoioFBLeMoBF7BYG5zgooddoaqT1Pb4aEu1IY+1y/SyknRGgrMukp31kOJqhM1OBoi3UXlW5Io483lItV2MNLslSHNUR7qzBrZ66KKQ1ff+JtgVYIpcH23sYSdSFkJ4aiPTX0XiabaaCP383+PQlgTg/VsJAOs7hyRNUvW4Fs1NHcITPQPjGB5j+RMJfFSCaGYwlOUI4ZGRl1JrwFQSgWEmg5/zOe5iZijR3NGH/pExzKAHwME3lbhDAYZXznrFJHHWU2P4mt4EBX7vQb1oB98jCHyeV76W7zUPorlzFDcu30RyWACirfXhs+QL+Kh9hjXmC7HORgOpzjrY6qIubWJZtxVnuQjRlosFrHhnfWxx00GRjyH2LlOdd84T1La4mYhrutXXFNk+puKaMg9FsiaoGfbqyHRQw1aCwOGqiWx3LWl4SU9K5VWZoSBwijc8DZHlqo8cH1Mk2C3BsiUf4UiMHyZevAQ1oLFlGPV1PaitaUJNTR06+4bQMfgUg6MsNJ9Ea+eQgMFAmhkMmi+uoFJb+Jokz9fUGEm6TryVdaOuvgnJBxKcuqZuzGhqoz0bkB/7KTAMBBXhEozpAqeGNLUM4mFZ0wcQ+AwHgeLgfRW5p3MU1y5eRd661Uhyt4bn/I/hu/hTcXXXWashnkupTurI99BCtrOaNOffYLEQ6y0XCShRpvMkIUjN4IFd2f722OpjIbY+jx2pfU2EE/I89KQ6kU34adq2u2lhm5sGtnloY7uPHor8DVAUaCKxBr0qgpIbaIZcVy1s99KV1EmK+ZdYPusfcCB+Db5+8xa9L9/gYXUbamu6UFPZgsaGVtQ3t6C9Z0B2HvcPP0Nb1zBqGQx2DP9ZgpUA0ERRS5iEpWlSvC/m+WjKFG1hu6uu3meYQUQJys8BQ61RZroCDK8cBIODMYjCL9MBIa/wOXptjNzra5ukXd56Z3PREJ4VkujAfNNirDdfIHFHnrumNArIcFiEZKt50lg/1nIRONYYzxM3lvs5eJpzrq+5uKk0QXneBmKGKPRiH30UeWqj2EMbJT762OmjJ3vld/gbgI2SdwYZY7uvIfI9dbHNWx/kkgJ/Q+R5qCPL4hPEaPwe57Zl4dmzb9Dx9C3Ka5slHVLxqBb1dYzJ2tDc3YuewTHp/dLY2oemNub6BkUDKGjFTCkaomgJQVGy4zRZ1CJqjCoZ+w4jY+9UgBAUZRAYJhOZpxJzNgWAYpIUoROMto5RAYQuLzWCAPBzXgnIh/dahyQwulp6HJtDfOC28As5vIUub7LtIqlm5JEV3HtY6KWJAlc1pNrMQ4r9EgkamRhcZ7YIa00WYoPlUlWvXS8jFQg8UNjHEEW++tjhq4+d/noo8VONPQFG2BtojF3+hnJsBkEhIMV+BkLg/M42d30UBugizvAPiDeah6bL5zHx7Q+oGRhH1eNWNFQ3ovx+BRrqmtHa1iWpks6BJ1JG29zYDwLS2fsE1BQKmINawUFAKHiaLGXtiK+V91TJWdWyBbcDMn4Rk0UwFNZXNEYBZbqGUNgKR5DYO7rGBBBqCYU/HTTlntXzj+v7JdNbW1GNvRlpMPrs9zD63X9AnNlsZDsuQYrNAjFTafYLUOBBb0tdmqEx7shyUZmwZDtVS/DNtqyl0hTtKPY3lu3NBIQeUrG/LkoCDbA7yFCu7CKxy98IO/wJmB52BhiCHax5pgl7sezw1sZG64VYq/YRsj2t0NfcKBnc2pYeVFc1SEq9qqwarS2dYDTe2NYjdQVsb8jaNRagk0OGnpC0VaaJ2qDwBwXP1zRTylLFdEB439HzYwUPn/mrgCiCVsDgle8RELq/DAYZ6RMAvs/BZzhoypob+1DT+gT3anpQUV6Hujt3URy3DokuJji1zhN5jkuQbDFXNIXtAdmEmTFHgbsWUmxYiDAXNGHpDuriLaXbLRaS5m7aAl8D6adS6KkHzv49ocbYE2oo192hxtgZZCTasDPACKqhAoZHJKWYz0Saxec44G+M2zu24unQEwxNfi1pdHZxqK2uQ3VtDdpa6fB0oaa5W+Kwnu5JtDXzYJsxsIuFCohnGBjhEsSPK6YEghpCE6VogvI5AVL4hNxBV5lOQVf/KGZwfUPRDl6V1yR6mi1lptMM8Z6CFl5oHRR06XXR01IAkc9ruwQM3hMgfpeaxXzZjVuP8aiiAW2dQ2jt6Medk6eR5qGPTcZ/QLb9fOx0UsM+LwMUehkiw3UJshwWy3mIGy1nY5PVHKTZLMQW68US2Wd76yMngA0EjHEk2Bx7g01REmSMfYGm2BNiitwgfZT4GaDIQx3bHOcizexj4agziStwqyQfdRfOypa8sYk3aO9i6rwDZY/rUVXbguaWTtVo6kBLcydaW3vR3j6IlnbmsIalkRtNjMITFLoCgvKeADDwDLIPc8p0KeAQFHpYze10qHrl2tU39iMgCoco4Hzgkil3VgFEhMsSIfZk7B4TgKa7vgSBwlcCSr5WQOXy8J17Nbhw+Q5On7uO85duo62jHQ9PHkC86QLE63wsHg+9oUL3pdjpoYl856XIdlVHij2JfyGoIdyJlemkIXmwTJJ4oJmsZWxbZozCZYb4KtRATmXY7bsQ2dafCCcdivLBrZICtDx4gLHRCYy+eIu2kedo7RiUlDnBqKxpRXllA5paeyR9XlvXLGB0dvL42V7UNnRKBpdClTNUpgFCMBQy55WvCYgCFF8rYPDKWmmpf2vuE3PG96hNHzRE4Q4FmA9e19QM/zlAmEahBhAQmi5FgwgIgeB3lLiF9wSE48btchw/eUkAuXDzBp6OPUNuZBhc//AfRdD7QsxwOEgHuzw1UOhO86WJfA9N5LppIM9VAwUuWshx0USuu7ZkZksCTFHiq409ARoo8lyIHW6LUeyqJa0zjm4OR8P1UowN9eHJmx/QMfk9HrdPoLphGFWVnbIGVFXbJsJmnokLTVz9q69vFxDa2vpQWdmI2tpW9PQ/xeDwyynBk7R/5A0FjOnaIUKeWlElgASIqfnGll5ZM2lq6pH3+F35jByimCgFEAKhDIlPfuI9UbBK8pB5GXpbjNbJI/LZFH/wXnmtAMUVSc4Kjms3ymVcvHYJ7UNPcfPCRWj8w7/F6iW/x15fPRwNNcSBEH3s8taRY4+KvbQk80uXlqcfFHvqYoevAQ6EGmObixq2u6jhxGoHXNgUiLsFyei4eRFDDXV4+mQSkxOvxMuraepDZX23an2/pQtN7apCDhYFUjvqm7oFGC7FdnSwcUIvysvrxJT1D03Kmgdb5HK201xx5zHvOSjUn2qGaMTQC3RNtdVlJM/FK56uygWswUGm6FU8Qx4hrwgg00FRgCEYCiCKGVJm/nRASO5cEyEoyucKGLwqYFCT6I2xCI+VkFwUu3j5Pm7cuo4rN25i4ulz5KxdAc1/N0MK6Y6vcZIj8w6GkiO0heh3eGpNgaODXb762ONniALnmcjy1kLZiR0YbKrGSH8PRp4Mo2d0CK39A8JlDx/Wo762A71dw0LSnJk8dqN9YFwWlfj/hxU21XXtAgxNFsF48KAKj6tbpCnCxPN3Ki7oV+0WE36YAuTnwCBHKDxBT4qylLrp+g50dAxJ/3yuKBIEDnpY4mURDGWQP34NIFwzIYdQQwgItePOvVoxWz8FhUDQbPFKr4uf8zuMXQjihdPncfTwEXBteqy/F4Ean8P2n/4N9oTZ43yMA46vssChYAPs99PGPj9d7PTRwnZvLXFZi1zVJd1Re/EwvvvuvVS1XC+vwd26RtwsrxLngRU1zExX1HehsXsUnYMvZNv22OgbjPQ+l5Q4NURAaeoWcqfpKiurFTNFL0oJ9lSa8Vo0gW1yh6aZLH5GjVCBoIrKKWA6AdQ8mkXyFJ0ZahuzwzSB1Aw+p4AyQ/GspoOimCzhkeaBD7NcIWguPjF9zPS6Itxbd6oFGEXoH56d8sz4mjxDQAiOcr19tQxnz17F4dMX0Ds4go6yu/Cc9wesVP89Tqxxku6mJyLMcChIXxrG7A3SxU5/HbB3So7tHJRmpePVk1HUNrXhYXkt6mqbcO/+Qzx4UIPKBy0CfFfPJEaG36Cn9yUGhl5LoUVr3xgaeoelVplgsMqfRMu+LdQKAkKTooBB08JBgVM7CMbAkMr2K0AoQqWQKVexMPXc4dwinMRVQ/4+n1dpxvgHD5ffEVL/OUAUYudVibhpejgoTGqHAgg5hCDcvF0lposzX/GwVIJXaQcB4WfK7/Cev337cRdqGkdw52Y5jh07i/6xcVRdPYrAWX+HbbYaOBltgzORVjgSYqACJEQfe0L1hTvy7Ofh1L5CjL94itqefpm5g32j6OsflEWjoYEXmJj4WsbQ6DPJ2NLf599FAfT2PxMQlHVw9mrhjL55p0IOIHjyRCVwzn6CoJghMVckax5MIO7r+FQsoQoh+PsMGSQXWN2ExoY2dLT3o6/v6VSbdtYZPJWaAzpG9FZZQkXTNoNZWw6mQXhVrWypTJGSQJwOynRACArrsBiXEJC79+vwuKL1A5dIFYoC4jSTRW4haATzRlklbj6uQ0NzD6oeNeDS1XIMjb9GXvRKrP7073Agwlj6wZ8Nt8DRUCsc4vlPwYY4GGqAbKf5uJyfjvahEVS29aOL7mr3MLpGxzEyyuwq1x7GVaa1fVjS40qgxqvM5K4n6Bv8Gk/GvsPAwDNcvXITdfXNsqDU2/+N1J1xRvN55buKeWLKhLsBqFnUMlacNDf3gs3g6uraUFfLJfFeoQT+hvI7NFH8txXu5pWv+f4MCl0B5OdAoUmi4AjETzVEAYQkT5PFUV7WLIBQ6KJJzQPyfYJaUdkmn/E3qTH8tx9XtOPM+Xu4ebsGtVXdqGgeRnX/U1TcuYrQhR8h1WwmSpeb4kyEhWhK6SpTnIgwwvFleii0+UISgR2DTwSQ9qZONLT3o7GHh9CoAldVelsVhCnmhgKlcOn1sA1I/9BrDI28xp07j3H/QQWG2Udy6IWsVXCNXNECmhl+j695397NyaxammW5LSdVYyPbtrNFCRv5dIo2UtDKbyhgKIDw/8P08T8BMh0UCk7RkumAcOYrZosaQpKndty4VYmHDxrEhBEQAqZoIH/rUXmzaAZTLuQQgtRaN4Cqym7cuF6JK9fKcL2iBQPf/ICGyvsIXPJHrF7yBxR56OFUpC1OrzLBuShTnI02x+mVZrKCeHXfLvSNvUD74HMMcMYOTIj31NMzIhpCc6A6O2viQ8JPZb+fCicMjX4jbaVYMH3+wlU565emi/kq1axWAcLvUJjKoBAZZZN7OFj2Q/JWwKCmMLJXQCSQBGG68H96T035VYBQmBSeMgiGMmqb+wUQur7CI/frP6Tk+QwBVkDmM+QblshQQwgaXVDGJ/TPHz6qxLEzlzA4Mo6zJUVw+Og/IVL7cyRZLMbeYAtcinHEhfX2OLHODqUx9ji83AzVt66jf+xrNHc/FTvNAj2eBERhsFc9NYTxwpOJd3j26gchaf7hFIbEDQMv0djSjRNnzqKytgF0b+kECD8MkGhV2kAgFAHy+3R4mPIQEAjEtMHAj95UZ8/on2kGv6dwNn+Lr5Wh/LYA8nNmazqf8HOCwkHzxZlPYVNTCAivdH1psu7fqxN3ltpAU8bvKqAwoqfZIpkqIFfQ1rb2S1zQ1TuEu48e49rVu6i/fhNrTHXg/fF/RLLJLHwVZCqbQs9tcsOpjU44FmWLM+td0dHUhL6Rr6dA6JeiipYuVZNnAjH+/Du8+BqYePG9aIQiFJqtgZGXcj7KufNXcOveXQw9GRdTRUCYf2JpKIlWmdnKd1Vg8O/ukYnEycRBUAgG0zH0qAiIyrSp+EJxlhQQCI4ylPc+AELBKcAoZka5Kp8pV7q7wh8Eg8Te3C+CVgC5fbdG4hJWrxBAAkIzRUAIVHfvhKTu+Xv1rcOorKNzMIpm/gHDz3G/ohVVlY2ovn8PG/RmIXLuf8axZQa4nOyJcykeuLDJFmeirHAjORgDg8PS63Fs8r1sDOIiz5Px7/HiFfDyDTA6zv3y7ySypnfEmU57TjA4K2/dfIjTZy6Kyz0w/FTeI29Qi2UvDI8L7FBxhVQiTrnINFHkDAUMXvmaMYyyh0aZ9RQ6wSCQvCog/Nz1AyCKBvwUFMXcEBzlXlImU6DUTZkvxhgEhBzCIJEVKSyoozfF3yQgXO6l2eI6Cv9g/ptMZdTWDaGpeVT89rq2QbR0P8et8iZUtrSh/PhRrNX+FIVO83Blsw+upfvi+iYbnIq2w/0d6Zh8+w5jEz9gfPI9nr/+RrTh+QuAGVyuVRAMeltMc1MrCIZCyqy2OX3yjKwEshsewSJRqwh3FG3t48KB3D1GL0o8Kf695ItGlblS1Wd1Cxj0sqgd/L6iVdPBYFyigKJoy/TXfFbcXgqMM5mDQlJAUUzNT6+s31VAYX6I5ouCp2bQy6ImkKAvXXskAJAr+Bs0awSE4FBL+O9VsXK8rgud7SPoZnlmczfaWml7J/Ggth41HU9xpTgbicb/Kqff8MzBsi2e2L/WCU2P7uMVgGcvgWcvvpfNpQRgZPS9pDtYH0Wzxa0Sqm0TKg2h4OmOnjx7A3fv3MLE+EuZJHyGbnNrlyqT3dT8dMpM01NUDRI4I3sZ1IqGDuEgagZjGMY5/H0VuKoAkcInGMogCAoQXAjkPcGg2fqgIQSBQwFEAaW9jQdKTsUqXURe5bVQwHyGQqXASdLUDIlFqtoFlLPn7+D8xXvCKXQIqEUEhPcEhL/BGIZeGm01CZQeEVWdtpczmaWrjV2TOJYaiVTdj3A21QNXU3xxKy8S3aMvP3Qe4q4tLptytY6u7PDYG9GM3v4XEoypXN0J0Uw29rxx/S7OnTkr5EuPivGEso+SpomC59823YsSMyX9jTtRV8fzHzuFRyhoxRRRqD9qyI/cQaF/AGQKXILM9xRAREOmA6GYremg8GB7BRBqBiNLEdqU90ThMj4hKASD2kFPiuRNN/jMudu4dOWhmCsmF5UqFYJB00VAWOXI31URqGqbnETDQ89lAlQ0PcGDKw+QbaqGXWHmuLTRB3VXTmH8DcQMEQgC8uN6NvNNL0UrmCpRUhzUOppeJhvPn7uCx+UVkk9SuEFJoVDwKiB+NE+KVqgaTndKvEEPUVXk8OMM52SaDohisih4agOHArKAPsUrCmD/AzONPMp/B0dMAAAAAElFTkSuQmCC\\" alt=\\"image.png\\" rel=\\"1\\" /></a></p>\\n<p><strong>Patryk Wainaina</strong> is a Language Engineer working on text-to-speech for English, German, and Spanish. With a background in speech and language processing, his interests lie in machine learning as applied to TTS front-end solutions, particularly in low-resource settings. In his free time, he enjoys listening to electronic music and learning new languages.</p>\\n<p><a href=\\"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/07/30/Marta-Smolarek.jpg\\" target=\\"_blank\\"><img src=\\"data:image/png;base64,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\\" alt=\\"image.png\\" rel=\\"2\\" /></a></p>\\n<p><strong>Marta Smolarek</strong> is a Senior Program Manager in the Amazon Text-to-Speech team, where she is focused on the Contact Center TTS use case. She defines Go-to-Market initiatives, uses customer feedback to build the product roadmap and coordinates TTS voice launches. Outside of work, she loves to go camping with her family.</p>\n"}