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		<title>a16z generative ai 1</title>
		<link>http://old.trimagency.com/a16z-generative-ai-1-2/</link>
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		<pubDate>Fri, 07 Aug 2026 12:10:19 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
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		<description><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to the rapid rise of DeepSeek All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-1-2/">a16z generative ai 1</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
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				<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments<br />
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
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width="301px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which  can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>How Global Brands Use Geo-Targeting To Increase Conversions; Interview With The CMO Of Geo Targetly</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="a16z generative ai"/></p>
<p>
<p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
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" width="305px" alt="a16z generative ai"/></p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
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" width="306px" alt="a16z generative ai"/></p>
<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p>
<h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-1-2/">a16z generative ai 1</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://old.trimagency.com/a16z-generative-ai-4/</link>
		<comments>http://old.trimagency.com/a16z-generative-ai-4/#comments</comments>
		<pubDate>Tue, 28 Jul 2026 17:09:40 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=8292</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-4/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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IHvpZs1tEiCl1KSSk+lF0skuQgKZJSR5ViSuEsmhxstJjfBM1AXTZluBhJ5UZBpAeV8YWSRjyxTxhaVlNOKdluZR5ikm6W2HGkKWCMfPV2nhjB0t3KrTSPA1O2TbfQlCcAUnt3iMy6WXe+e9LzxgkHKh5+dIsuHalL8XKcj31qw0jXbOBVB9Qb9Urcblx3AFBdZDJjgfLpPS/BZACGycela700PLIbYVn0xSjC7nhZJ46Whbrt4t7auVyQEE+tZG5jDo5m1pWPUU1blpyVPX4qkrAHXtW3b9PzGkBLRV29Kf5MbzKaK5/YnCZDQHVQH0VhkrckslMVvnUOlaTlomoUgLWRzdOop36dtSLeAtw8/MBUM1LHTt1tN1JFO+Z2k7JkGXNtqiiUwUqWelbrEqTJRzoJGBkD1p/wB+05FvMLx246fEbGRimrBhJYHgrCUqzgimxGKdmoN63NPeHwutfqrzTonSnFJkJ9kZx0pzot/TtWWyxYsZJUojJ99L0Zhp7+hoJz51kVbbPJAsFfpndSyQ2oOO6c1lEIZxy0vLt2QSroE9awtMF1wNpBIqiWg7q1rA2TeucL+djgU1Pucc5IqSrpbsMFODmkA2xI8j9VXqUDSq097puswCehFZhb+vQUuJt+FDAP1VnMDI7VK4BRglNi4wVfE1EDr0/TRTgnw+SCrmB7j9NFR2UgKqA0hKDnHbrS9pXV2rtE3EXjReqbvYJxRyGRbJrsVwpznlKm1AlOfI9KR0IzW00znyrVjiDhYjZZzpSzcHdLepNba01vORctZ6svV/ltpKW37pcHZS0JJyUpLijypJ64HSl7Te7u7GlLIrTWltytU2i0qJPxKDd5DDKcklXKhCgE5JJOMZyc00mo499bjTXTtWhFSMIsRt6AqklU8HUCbrctd2vFsuDN5tdylwLiw4XWZkWQtt5pZzlaXEkKCsk9QQadOoNytwtcNsMa11vf783FPMw3c7m/JQ0cY5kpcUQFY6EjqaarSB6VnRkH2QOlaTaOJ+7m39QVN1U8XAcd08bDbolwYCnGxz09Z7+odR222WS+6kutxt9maLFuiyZbjjcNBx7LSVEhAwAMDHQJHYAUytEP5fLTmOvbFTztdt/I1Xdmy5HU6ylxKENJ+U+6T7LY+sZ+rzqOLDDUTuLjZjNySOA+pRJXiGEAbudsB2nv8AitTarh0uW4dzjx2m5SWHieVKCErcSB7SuY9EIHmo05tZbscFPD0mTZYmllbpaphJKHTGmJTaWXgD7BfUSXMEe0pKVe6k/jf3Ptu3dvi8PegL5cmdTxWzJ1k7Cc8GM6l1oBmBzpIUsJCipSeiPxgo9E0Vibe631E4qSzbXJqnVEcvLlKfr864bG8wNllMOH9SMc/xOPbfl6l1uE4I4MEtV1nHe3If671P7vwg+88ac9K0VZtvNMxCOSPHtmmGF+CM9ClyR4iycd8qx1PQdMfUf4SDjDMkJ/ZDtngJHRJssIoHuKfCwar3ctrNZ2RBlTLI+hPoo5AHpgYPpSVGsF3kcyPiLyfDV1X4ZUUn6BXMuldKdT3XPpK6JtL4MWDVdXS/whsfUkhm18TXD1o3U8FaUtPXywRDb7o0jzd7qS4R35UqaH6KsrbNsuDzWe1qt3drI2s9a2aKopuce1XRv45ayBkh9hzC04Bye/s+1kp9quVTdrudvbPiocUB1BW2eo94P8gp3bM71bhbD62ja322vjlpmAhqUwpIcizmQoEsSGj0UhQyM/KHUpKTg1ao66SklablzAd23IB9Y3Cp1dA2ZhFrOPA24ermryCZwbq6/eJuZ/Ckb+WvfjvBr3GhNyj/AM5xv5a1919M6U1XovTfEbtchlvTGsmwLhbmXAsWa68uXoxx8kcwVhJ7HOPZKQIl+gV9F4FlvAMfoWV1MZLO4jwjrg8wd+S8VxXG8XwmqdSzabj+qN/0UyJuHBunqNA7k59Tc432q+xeODof6wdyf4TjfaqGM+6jPurW/o/wc8dfvu+qzvvbiP8AV90fRTSL5weDtoHcj+E432qDfODw99A7kfwnG+1ULZA7j6q85wchOCQcYppyDgjeOv33fVKM2Ym4XAb7gU1fdvg7/wBwO5H8JxvtVqzpXBncEeHI0DuVj3XSMP8A8qiAkAZyDXy46hppbrighCElSifIDzpfuDgrBrOsD9931R97cSdt1fcCmGLK4NIaeRnQW5fL77rGP8dbQvfB4ggp0DuRketzjfaqG48C/TI7cuHo3Vb7DqEuNutacnqQtBGQpKgzggg5BHTBrWjSmJkdqVGJLbqAtJIIyD7jgiqVNlPLOIOLKaYvI4hspJHpsVamx/G6MB00YaDzLAPkrDwNyeFG3t+ExoHcLl9DcI32qyndLhWP+sLcH+z432qrvn3UfRUx6NMBcblrr/vuUQztiwFg5vuhT+/uFwoSElK9B7hgH0uEb7VIUq4cHUxRW9obc0k+l2jfy1Dv0UfRUsfR1gkXmteP7bvqmPzliknnFp/sj6KWC3wWq76C3MP/ADtG/lr5LHBTnP3gbmH/AJ2j/aqKfoo+irH3Ewntk9931UH3rxAfl90KXm3+C5oco263HPz3SN9qvtE3gyacLre3m44J8vunGx/dVD2aPopn3DwfiS//ABHfVP8AvZXj8nutU0m9cHKkFJ0BuRg/+0432qxs3Xg6YSUo0JuVg9etzjfy1DWfdXuf3JPzU37gYP8A1/fd9Uv3txG/4fdH0UxqufBwrBVoLclWOvW6RvtVus6p4Q2UhKdBbjYSMD/LKN9qoO5hkITjmV2Gf4qM9cdOlMGQMEk2u8/3jvqn/e7FIzuG+4FP7O4PCay0Wk6A3C5T3zPjfapGlXfg6mSDJc0FuSlR64TdIwH91UM5A7ivR16ctIzo8wOM3aHi/wDzHfVDs44m8WOn3QpobvnB810ToXcnA9bnG+1SjD11wlwhhnQm4303GN9qoGwfxfz0dfQUO6PMDfs4P9931QM4Yo3zdPuD6KwS9yOFJxJQdB7h4P8A7Qjfar5Z3F4UGPkaC3C+mfG+1Vfvor0ZPZP8VM/o4wADzX++76qQZ2xbk5vuhWCk7kcKUocrmgtw8e64RvtVq/fxwkf7gdxv4SjfaqB8H8X89GD+L+elHRxgTdgH++5NOc8WfxLfcCnY604R1d9A7jfwlG+1X0nXHCQgYGgdxf4RjfaqB+oIyjofTrXmc56Uv9HWBu2s/wDxHJPvlinG7fdCnV3WXCM8lSF6C3GwrH/lGN9qioK+iij+jjA+x/vuR988U7W+6FVllP01vNJGBjpWk0QK2215x1ryeIAL0KW63GxitprsK1Gie1bjKSvpymtSK1lQkusySBWZB69E/mr1mOkgFXQe+ttowkKCVPJz6Zq6yQN2JVYxlwuAl7QLLkq+pbAIQ2guOfMO35yK6HcOVvs+hbVcNeX5tIg6Lsjt2klWPakqSShP92AfVKao1tjBZcnlxCAovLaZz7irr/FVy9yroxpfg/3EuCovO5d51vtCAk4Jy6g5+gKUce6jNc5octkxmxkJ9lwPhdNy/EKvHAHi4Zb4ElVj2F4fNXcQ2mtyuJrX946onTJiS4nLk2XjncwOyEDm5UgdBgAYAFOjQllg29CGY8VlKE4ACU9ffn31MvDnqOLZ+Dido+I22iQ+ZqVoT1JLnMo/Pntn5vWon0wVpdLiAkYPLhXmRXgNQA21l7rhQL76uSfh2/tepHEtyYqHQACQpIIpWsmwWkOn+UccFZPP7IGfSlHStz5yhvwAlRABI+apFg4irTzryojmIpGC61ZWBp4Jg3Dh80DLhqjy9NRXAfZ9poA493p9FQ5qfg720ZRclQ4MpoTG+VbYeJSnHYpz1Sc4ORjsQatjKcLqPG8FwdOuT0NNq7NpkR3ilXUAcuT3wO1RTFzD1SkYxjh1wq08BSW1v7ycJd9KpTN2tbt8tgWrPLMiqS2Vp8grCo6h/wAF6CmI4haHFIcQUKQSlSD5EdDWxtDrtzbbj30xqNlseFcbt9xZzPYram/zv1/pVLbc/wCTA86WdyrIdObiaosXIpCbdeZkVtKuh5EPLCT8xSAfmIr3/oZrnaqmjvtYOA7+BPwXz/0o0TWPhqQN7lp+I+abgBPYUpaY0tqjXeo4OjNEWN273y5KIjsJWEIQkEczrqz0baRkFSjnp0SFKISU4DJSc464H+P1V0A4AdpbZpja/wDZXmRAvUGufwvxhRyWbY2tYisI9AQVOqx8pTnUkJTjvc/5rdlfDw6DeV5s2/AdpPo5d643KWADHawtl/3bBc9/YPWtDbL4PHbe0xWZ+8N0m6yumEqXDYkvQbYyvoSEttKS48Mj/TlKSR+0FS25wm8Mrkf4mdh9ChOMBabIwl38oE8+ffmob4veLe+bf6gVtJtROjM6gYYQ/e7qttLxtqXEhTTDbavY8daCHCVghKFIPKecYqA3vFvg1eFX5vfLX3x49Qpd8dWxnv8A51VmP/aq8XwzKuaM3QnEvCmx3Be4i/oAv8l6bW4/geXpBRBguOIa0G3pvzVut0fg79GTIkm5bIXyVpm5AKcRarnLemWt5fU45nCt+OCemUKUhI7NntVGNYWW/aYcvuk9XWZ+z3y0tuNTYLygpTSuRWCFDottQ6pWOih9IF09jePy0xrLNsfEFMWzd4DfjwLnb7a4tN1ZyApBaaCg2+gkZHRK0kEYwoCvvFzvvpziAvkK+aR25esLdlgSYrt5uT7aJ9xjKSohhUZsKCW0rwtClulQK3AEJ51E72VK7NGF1cuFVkT5IgCHX30XHEOPLuvuNwsnHqTAsQp2YhTvax5II5ahfcEdq6S7QY/Yb0Uc/wCtm2/90brkHbjmE0T+IK6+bQDOzeigBknTNtABPc/FG6qztd8HPBRY25O72urm7c3go/ELApEaPETn2UF5aVrdXjGVDkTkkAEDJ5nIeaaTKtXUVNWCdQsAO291t5rwKox6mhhgIGk3JPoVMh17UHp3q4+63weibfp+TedltXXOXdIiPETZr44041MA7ttvpQhTTh/aqVzJz0OAeYUzW6W0yFTm3IbkVbrUpiQnkdjONqKXG3AfklKkkKz6Gvfst50w3M7XeKkte3ctdsbdvYR3ryTGss1uBuaJxdrtgR29iy4PpQAT2BqyWwHBLqTdays663EvcvS+n5yEvWy3wmkKuE1ogEPvKcSUsJPQpQEqWQQolHyame5fB07SSYK2rPrPWlvlkew+5MZkJSceba2gCM+QIrnK7pZwSkqTBGHSAGxc0C3qudwtmk6PsUqYBM8tYTwB4+vsVBq07xcmrPapl2fQtbcJhchaUAFSkpSSQMkDPTzNXg0z8G1bW7UlvWm716lXIPP5etkSOxHU14qvCKW3ELUg+HycwK1e1nCiOtQptnwn2DdnffeHYzUGu7+xZ9EMRGYsiM3HD8lMlTyV+KS2R0CBjlA71Xm6W8HkhkNO1+oA2u0WvwHPtIU8XR5iTZWGUt03F7E8OfJNmbwzcUMCDIuEvYK9NsR2lPuLN7sp5UJHMo4E3PbPQD89RtClInw2JrSVBEhtLqQoYICgCMgfPXaC5Wxq52mVZn1rS1LjrjqUkDmCVJ5SR7+tc+OIfgt0nsJszL17p3cHUk9+0S7VDbjTkRi0tt6cxHVzcjaVZCHCQQR1AzXO5U6U55qkwYydWstDNLQLEmxJ3G3BbGYMhwxwiXDRbTcu1E7gDlx71XvTWnNTa31TA0Loizm7X+6qIjRUq5UttpIDj7y8ENMoyCtZB7gAKUQk3k2z+D023s8ePP3eus3WV0ABXEZfdhWxo+gaaUlx73+KtST+IKVOAXa2LpfaBnc6dASm97gBNwDq0jnbtYKviTYPklTRDxH4zx9KbPF9xdal0JqNW0u0TzUW8RmQ9fL460l0QC4nLUeOhWUqeKTzqUsFKE8nRZWeTFzBmnGM44qcLwdxEdyAGm2q3FziOXPs9a08HwHDstUArsRAL7XJO9r8gDz9Sm08JvDIqN8W/YG0KEgYCxY2A58/icvNn35qHNzvg79CXBh+5bN3ybpS44Kk26bJenWx5fkMOlbzAPb8GrlHk2elU+TvBve1dPu4jfLX5mnrk314sZz/ALGJ+L/R4eKs/sHx6RoVtnad4hrniZCZEi23mFbnFKuSeYBTLjTSSEvJyDzJAStOThJSc067KmaspsFfFKSBx0OJse8c9/SrFHmDAMwO8UewD95ot6jyVRNQad1No/UE7R+tbE9Zb7bCEzIbqgrAOeVxtafZcaUBlKx3Gc4IKatHwh8KGw+8u1crWO4ukZ9zu33dnRA+3qG5xEhltSQhIbYkIQMD0Tn1qLuKzfzTPEHqXT9z0bt5NsyrEp1hy+3R9DUudEUFc0b4q3zjw+cIcQtxwKSQocg51ZtZ8Hl12Eknr11Jcj1Of2ya3844zi9VlimqK5joZtZB4t1C3nWBvv2dqyct4bh9Pjc0NK5skWm452N+G90p/wAz54S/97i5/wDW+9/4XWvL+D24W3oq2YGkb7bHlJIRIi6tuyltnyUEuyVtkjv7SVD1BqBuM/d/d3S3EVP0tpDc/UVgtEbTdqlIiW95CG/FddmBazzIPUhpA7+VR5t3xSb86L1laLhcdyr5qa3vT4sabaroGn0yGXHktqDakoStDmFEpIOMgAgiuXoss5krMKGNQVB8HZzv947V1SQdu3Y23W/U43g1LiHkyWLr3A8wW3APzSjxHcKuquH9trU9tusjU2iJDqY7091pCZlrcUcNiSlCQlbSiQnxUJThWApIBCqlnhW4OuHrdLYbTWvNd6NuVzvt1XPVLlDUt1jhwonPtpw2zJS2gBCEjCUgdKuJrrStq1xoy96OvjaVQbzb5EKQTg8qXGykqHvGcg+RFcgtrd3t49Pbe2G2aZ3d1Zarf8TTIbhxpTaWmlvZdc5QWyQC44tXfzq3hNRmHPdIMOhm68PW1FxaS07WJHGxHPdVa+DCMrTmskj6svVsADZw3vY8F0SHwfPCXjH7HNz/AOt97/wuvf5nzwl/73Fz/wCt97/wuoZ4G9091dYbxXGw603JvmoreNOyZbce4uoWlt1EiOlKxyoT1w4ofTUmcfevddaB0Do5/Qer7np6Tc9T/E5Mi3rShxxkQJbvJlST052kHt5VzlVQ41R4uMFknPhS5rfPda7rW39fYtinqsMqcPOJMiGixO7Rew47JXPwffCcFZO3Fyx076uvXf8AsuuZOinnZOkLLIfdccccgMLWtxRUpRKBkknqTUoDfjiBBz+ztrTp6ymj/e6YFtt8a1W6La4YWGIjKGGwtWSEpGBk+fQV7jkLKuNZfqZZcTlD2uaALOLrEHvHYvL82Y9hmLwRsoGaSDc9UDa3ctmiiivUFwiqs0HFDonrW+wwoe0tQFJZuiG+qBWJVwkudlFI+avl8VTGcN17uYHP47JxiTFjDLjo9axvaiYRhLCVEjoDTc51L6qUT89ZEIUeg8+1P8dkds1M8WYNzulZV9lvnlK+UHyrFlalhxL6ubOa+YlomSSORB604LdpJ1a0+KvGetWIo5ptrXUEr44gSFLnD0+uW62H/aUm4sp6/R/LVxOIGE67wX3Oby8zUbVsR97BweQIKAeox8pae/T6elV/4dtI2+2KLq0+I41H+Nds5WogA/QDipv47tbK0jtxpjh+0+kMw7lZUamuUgo5jKKVkgA9x7aeb0x7PkKt9IE5pMJpaF/nED43+YUWTKd1Zic9TGOqLn2C3yKRtgtN3uy7Xt3F0hEabCVNUqUcIbbOfaJI6pCepPvqDXOIDRWnr3cERI1xnxkSXEsuNMc3igHHMPQH31Nm72qjp/bfT+3keR4cVu0xGZhQSCpAaHMn+lKs5+aqxStTa+bS45oDScFqO26kN/HY6VrlJ5sEpCiAny6mvHjpebL1ynMkLdTVYra/f/R2piluIy+y6pXKUPIAIOO1TTc9ZW61wFXl0FTPKME9h9NUq1PadZaetsLVBMFUlaWXpTTAbR4TqjhbaQDzKwO56gnOOlWftzz2oNsodvYDaJrzKCXFgkIyMkkefzVG9/gjZbEBdO254pCl8XE6fKVatM7W3y7pxyiQ2eRJPlgAEke/pSnZd2bzepYt9+0dNs/xgpLalArGc9Qo4wD5VB2qNq96pF0Yc0rrh6PIbkKS4lLhZjqQU4T0QUrBScnv16Zz2Mu7c6b3Ks8oxtW3RF9gK5UpdeWgSkEdSVEeyoZz+boSCVOmLXR9biq7BMJNIG36KAuLWwNaK3M0vuDamlMuLWh10N9y4wtK0qSfJXb6RVheK/QFxg6ta3fiuRpGnNdpYlwpDC+fldMZsuJXgYyVBahgnIz5g4ReILRdt1vedC2y5NL+LuXdxhXJ3IMZ1wDPv8LH01KOtLTEj8Esa0uTVSntP6oJQXcFTJcccUEj0/Bvnp6Gu06NsalwzHIGR8JDod6CRa3rAXC9IWBsrMImqX//ABm49Nuaqkc5yhQ5wMIz6/44rq9w0fFxw6bYfEwA396Fo7evxRvm/PmuUIPPy8oyDXQHgD3cteqdrztPLmBF/wBDnwkx1DCnra4tSozyM/KSPaaVjqlTfXAUkn0zpnoZpaamq2DqsLge7Va3q2svNOjWqjZNPTOPWcAR6r3+KpdvWJid+dzxc+b4999c3xef5Xh+x8X/APlvi+P3OKZ/z1ezi94SdQ7jX/8AZY2niQ39QuRUR7vaXXEx/uoGhhp1t1WEB9KPwftkJUlKAVJ5BVOmtot8H7wNOs7E7g/dIu+DyLsLyI4XjPWYrEXl/d+Ny+81uZIzng5wWGCaZsb422IcbcOY7QVmZoyziPlSSeKMvbIbggX48j2WTY5c4IHNg5+mtS74Npmq6D+dnRgdvkGrwbHcANgXZpt64hbaifergwI8O2QLm8hu0NFXMpQeZUgrkKISCsEpSE8qchSyqvXFxsTpjh+u8PT+lNxZN+VeokuW7abk02uZbYqEEJdU+1yhSFOEIQFthSuVZ51ciqSPpLwvEquXDYWON7hrgLh2xuSOIHfY7bmySTJFfRwMrpHN2sXNOxG42udie71BdJdnQBs9odSuw01bCf7FbrnjrfjG311lq6dqDTuuZWl7O3LcFptkCMwUJjJUUtqfLiFl1xQAUrqEgq5Qnpk9DtoQDs1on3aZtv8A3RuuQVtP85tDA+RmvNejHBaDGsTnbXxh4a24B7SbLts8YpVYZQxOpHlpLt7ehdUuFreG7b37QwdW6hhsR71Elv2u5iMCll2QwrBdbBJKUrSUL5cnlKinJxk081vtnYtb8fczbudEQqy3LUUe6XGMr5EhtFtZlutEeaXHUpCx2KVqHnU//B29diLnnA/zU3Dt0/aM1DmptUQNH/CRfdi6utsRHr1Bta3V9EoVLtDLDWT73VtJ/rq52jjkocTr4aLbS2YADk0E/Bq2KhzKqhpZKnm6Mn02+Zsrlb1bo2rZTbC97kXWIuU1ammkR4rZwqRJedQzHZB/a87rraebsAST0Brn43xscTjN6RqBeqLJJQH/ABV2JVpaRb1td/AS4B8YT06BwuKIOCQR7NXt4lNp5e9ey9/2+t05EW5yfi063OufIEuLIbkspX6IWtlKFHuEqUR1Armk3s5vfK1INGRtldZJvinjH8N21PNwkK/HVP5fivhefiBwgjtlRCTvZBpMt1MFQ7Gy3WPN1Ejq2Ny3tN//AAsvNk+NQzQ+SgSN72AO/K9+S6obS7kWbeDbewbkWBpxiHfYgfDDpBXHdCih1lZHTmbcQtBx0yk4rmPvhuTr/Zzf3fDWm2urp1jub81xqQWUMuNvIjshxoKS4hXZTq+xHeuknD/tevZrZ/TO28iaJku1RlqmyEZCHZjzq35CkA9QgvOuFI8k4rlvxdpUrdHe0JGT90Z31fFG81mZIoaSuxOohkbrjEUhF+62k+lXczVdRSUUMjHaXeEYDbv4rrnqOVJgaVulxiuBEiPb33m147LS2SDj5xXIjWm+O9m6e2jtg1tuZdrtb7hGYmPQ1sxkNuPNFD7eShoKwHUIPQ+VddrzFXe9MTYUF1CjPt7rTKs+yedshJz6dRXHu8bf7jbbQBbtdbaavtDNrUzb5NwfsMo25LpWlpGJiUFhSVrUkJUF4JUkZycVo9GkGET1MzcULNVm6NXEOueHfwVPOs2IwwxPoNRF3ag3ssOPdxXWjZ0wE7QaHNqKBC+9u2iNyfJ8L4q3yY93LjFcvt8Pjg3z3K+P5Eg6mmZz35PZ8L+1eH9FXU4BN1I2qdn2NsJ01Cr3oBKbcG1KHO5bMq+JOAd+VLYDJP4zJPnTb4ueEbU+vNSO7sbQsNTLzJjtsXixuPtsicWxhuQw4shKX+XCFJWoIWlKOqSklUGTcSiylmN7MT6o6zCfy9h/n2bqTMtFJmDBWmiIdwcN+Pd6d/am1wYcN+zG62z0nVuv9Hm7XVWoLlGMhc+U2Q026AhIShwJAA6dqnb/ACFHDIrONtGx5f6KTf11c87LtBv27d16c0/tHuvAmPPuFxlEedboRdJ9pZkrW3E6n9sHMHHTmq+nCNw56t2ZgXPUW4eqptz1DfENNGD905EuLbmEdeRKnVELdUokqWABgJSB0JVUzZB4pUyVUVc2TwjnENY4kgE335D/AFZWsBm8YibBJSuZoaAXOAAJAANu1MLij4XdhNudidS6u0tok227wERzDkouUtSkOqktJHsqdIVnmIwQehp2/B4co2DkJSf9clyB/fJphfCHbuRXYtn2KsjyHZMiQze7+pK8/F4zRJjMEfjuvBLnXshg5Htpp+/B5AfsByDnP+aS5eWP2yKgnpqpuVxVVBJEko03udmtNz6Df9FJFNTuxw08IF2x7223JG3pFv1Tt3b4P9pd5tbr3A1a7qBm7uQWLetUC5FhCmWVOKb9kJPUF1fX30n6C4Ititv9UQtYxIN5u0+2OpkQxdrmuQyy8kgpdDeAkrSQCkkHlIBGCBUD8YPEHvzoLf8AmaK293Sl6dssbT9snJisWq3SMvvuykuLK5EdxfZlGBkDoffUKy+J3iiuDC4k3f6/llfRaWLVaYyyPQONRErT86VA1p4LlDM+M4ayWjk/YPvYF9hYEg3HZcdipYlmHA8NrXMqW/tW2udO/AEb+gq8HF9xBWTaPb+bpm13NK9banhvRLPCZUC8whY5FzV/+bbb5shR+UvlSnJPTmlDiR4EOPAht8jEVpDDSPxUJASkfUBWxJXJmz5N2uM2VOnTFBUiXMkLffeI81OLJUe/TJwPKvnyFe15FyY3KdO4yODpX21EcABwAXmOaszHH5WCNumNt7DmSeZsrJ/B+D/w93D+pSZ/3uJUrfCTDG323vX/AF4H/wC1zqir4P3pv3cP6lJn/e4lSr8JP/4vtvf6sD/9rnV5Jj3/ALgR/wAWP4tXoOE/+kHfw3/NUW86KD3NFfTFl4iiiiihCp8gc3YZrcYhvvEJQlX1UoRre2kZ5BketKbTkJhILjiE49K+WY6cDd5XvT5iTZoWnDsBUQp1XT0pdhWeIxhQTnzr2K9HkDmjLCgPSlFhpeASnAOD81a9PDEBcLOmkeTYrPGZaQAUIwfmpSjpJ7Dy/irUYU0FBKjW74zYbPhA5FasTtO7eSoPbe91O+yF08G5W5hR9mVGXFUfQp6j+4x9NSvxyoVE2t293tZYZf8AHsMnQszx2kuBp0qDiHACDhREeQAfIKz3xVatqr27EkBa1kKhSUSEAfi56/oq6OsrDbN2uFTVmlZTaZg05Oj6jZYAJ8VkZC8dRj2S51B6ZBNV+kal8dwenr2/hAB9Wx+St5CqhR4vJSP4Ov7Dv9VDd0uMLVmlLI9NjIXK5Mq6AkJ5U8qSR3x1pBh2IKUr4u6pKQcHp1PXtTf0pcnLdp61RmHkOiIyuN4iFc+QlWB3AzgYH+PV02SaqFb358x/qjmUCOxOPOvDOO69zpdAJB4BNzWVjnXa8wNMw3uZakKkvEj+htISpSicduiT9NT9oVUVrTlvLzigpCAHTjIQcdvqx+eqgt7x3LS+qrlI8Zbka5jwn1BOVBPUEjOfI4+apx07vvGuNg+9/SccPSnwhaOZhQQnAwVK6dTg9AO59O9SCMvViGrjjc65U+ItFhvRbaYmRXJJVzcoIQ5g9unSlGJY0QFqYfQQRnlOO3+PrVetU6jMKKxf23XnLsy6FOOMtlCVoHcAA/y/OalLSm4TmprM3ObkcySzyhR79B1BpkgsLEJ4lbJ5hWhuTEZekQnGxl62ykTI4HXKwCg4/rXFfnrb3dmph8MLKmeir/rVPMc5C22YqgpQ93OhIpW0npTVevdRKi6WiIeeajKLqnFpShtCiE5PN1x08snpTT4w7pZrLK0js5Y5LbqdG29Rnlo+yqY/yqWT7zjm93Piu26NcPfXZipwwdVh1n0AH52XCdIuKRUmXpoieu8hv6hV0BNKOmNUal0LqWBrPRF6etN8tiypiShPMlST0Wy6g9HGljopJ9xBCkpUE3IoyPWvrStooMQp3U9S3UxwsQV8vU1TNRyieB1nDcEK+O1PwhOgLxFRbd47XK0hdkIAVOYYdmWuSfVK2wpxk+ZS6gAdgtVSqeMDhjA5/wBmzS5wMlIlZX+9Az+auXXNggg4I9K86BIweue/nXkdb0NUMspdTTuY3sI1W9B4+1eh03STVsZpnha49tyFeTdj4Q7SMJl6zbJ2KVqO4LSQLxcIzkS1xz16hK+V99Q6HCEBBH+mDtVHtX3jUGrJN71Tqi6P3a+3oOvS5bgHO6soISlKR0QhIwlCB0SBgeZPySCSfpoyCME4B9K63LuQcMy6xzobvkcCC53EAjkOAXP4xm2uxhzRJswEHSOBt2nifguhW2vGPw52XbPS1iuu4So8232KDDksqtE4lt5EdCVpJDOOigR0OOlc7LWQuBHdCVpStGRzgg/SD1HzVsewFDCeg99BIyTnOfWm5VyJTZWqZKmCVzi8WNwO2/JGPZqmx6FkMsYaGm+yt1wacR+ze0u1Vx0puBq9dqui9QTJYjm2y3stLS3yLCmmlJIOD5+VQBxG6t0junvVrXU+lpq7jYbo/DQzILDzHickGO2opC0pWMLQoBQA6pyPI0xMp/FBr3nOAM4GMYzUGF9HtLhmLyYt4QuL9d2m1uvxHDhupa7OFTXYezDywNDdIuL36vA/oro8PfHfZIdmiaK38fkQZ0FlLMbUyWVvxp6E+yPjPhpKmHsAEqI8NXfmSTy1NVz4z+GO1QXJyt3bPNLSThi3pdlyFn8VLTSFKJPzVzDGCRnsKO/yjk1z9f0PYfU1JlppnRsJ3bYG3oP1utik6R6yGARzRBzh+Lh6yF0X0hx98POobC1dr5fLppiW488hVruNqkuSWUIdUhBWWELbypKUrwlagAoDJqhu7mobDrvd3X+qLE98cs17vbj8R5xhbYfZLLaSeRwBQBKSOo+im3zJzkJBz7qz32dt9ouQzbtwtzrVYbo+w3J+5wgzJj7LbiQpHjBhpSW1KSpKgkqKsEZAqzhmUcFyFUjEampNnNLAHAb3sTwF+W6grcwYpm2DxOCAdUh1wey/arX8OfHPa9D6Ztm3e9dvuQi2iOmHb9S2+KuYlUdsYbblsNgvJcCQEhaErSrGVch7qvFzxP7H7pbD3fRehdaOXK8zrjZ3Y8X7lTGStDNyjOuHmcaSkBKG1q6kdvWqUnXmwwwTvfDGf/d26DP9or0a+2GSOm98MJ/qeuh/vFctLgeTBiDa6CtLLODtIaSLgg2F23st5mKZlNIaWWlDrgt1bA2It22ulrTGp9TaC1RA1zoe7/cy/WpZLEkI50uNqHtsOoyA40voFIJHYEEKSFC8W1nwhm3V6ZFs3etUzRl2QEj442y5MtUn3odbClsnzKXkJAyAFr64oH9/uwp773QR/wBHLp+ooOvNhf8Afxho9407dB/eK28zx5NzNJ4eWp8HL+ZoO45XFrH4rNwJ2ZsEHgmQao/ykjb0G66nL4weGRCCo716YJSCShMrmX+9Az+aoV3h+ELsLUZ+x7FWZ+8TlowL9c4rkaBHJ822nAl59Q/pUN9jzntVGzr3YPPMN8oROR1+926Z/wDoUHX2whznfGET/U/dP1Fcrh+V8oQSiSrrjIBy0kD17Hb0Leq8czHNFogpNB7SQfZuFvS5VzutxnXy+3OTdLrdHlSp0+SrmekvK7qUT2HkEpASkBKQAkAC3fBxxKbL7TbUS9JbgawXabqL9OleAbbLey04pJQrmbaUkggetVIsMvb/AFpJftm3259qvlyYjOSjb1QpkOQ822kqcLXjtJQ4UpSpRSFc2BkA1rJISMAY99enV+CYNnjDY6OhmtFEdtA4bWtYhcNSYniWVq19RVx3fIPxc+d9lJ/FNuJpLdbiBuustCXZVzsytO2mEmUqK6wC807MU4kB1CVHAcRnpj2qjEetAX1PU0Z+mupy9g0eAYdHh0Ti5rL7m19yTy9K5/F8Tdi9a+skABdbYcNgB8kUV5kUZFbdis5TRwjbp6F2i3fkai3BvS7Vb5OnpURp/wCKPyAXVSIygnDSFEZShR6jyNPzjX4gtpN4dKaLsW3eqVXebb9SmdIbFulMhpgW+W2VlTraU/LcQMZz1qrfQJUCc5PaveYnua88rej2mrscGOOmcHhzXabC3Vt3X3suwps4TU2FnC2xgtLS2+990eZooyPWjI9a9DsuORRRketFCVVPTJmyf6EOUe+tyPZVv+3JcV19DWRAHLhKcZrfjJWrCSo18tx04J65XvD5SB1VtQGG7fhLSQKVGH3HegV0860m2my6G1kgkZreix1svkHHIf0VpRODLABUZAXblZEtPOFSkk4TSjBPiIIwcp75rEwFocw31QR1reQw82A5jCT0OKvtdpN+SqOaTslKw3Vy3OmUjCSjKFJxhK0nrj9FWD2M381JpG8QrhbriGmUBcV1DiQsJaWR7Ks90ZAOO3T3DFf24SEMJdbHNjqQaXbOA2tl9haUIUAhxHqCelb1BWRyNFFVN1xPuLHe1+fqWPXUz2HxqnOmRu9x3b2KtdxDWC0z9O6T3F03YLZamXFO2m7RbdERGYRNQSsOFCBgFxCyf6yoks8YXiLJsxOFLSrHz4/jqedhRB3D0q/tpqV9aY2poxitPKGSxNZ5vAeGfMYIPqDiq+XE3DSd7fiuqQkw3VsFaM4JSSD+cV4tmjBHYNiclNbq3u30X/0F7BlfGhiWHsleesNj7FD10t9ysWufiF2jREWKSr8FLRGLjjSj+1V1AI79uvbpVgNo7VZXS6+nW4iqQ0oBDOm3vGUUnCUpWocuCMH/ABNM1BZv8ksueE6tK1HCx3TT90TYb/47bVt8CM0pY9oqz28gMn3iufZe9l1sAiLdS3btt5eta3tLkfUt3Y01EU6lwOpZaekr5lAJJQkFKQOXOOvTy7UraCsitP6ccgnJKHnEBRPdIPf6qewlGHaXm5MtHM1lBwnl6+7t6U1beoy0LaQokLVyghXYE9SB9NI5lxcpJZmNfZgUz7T6xj7UaEvu59ytzk5c6UzZ7dFDnhGQtOVue3hWEpBJKsHqMd6jW66v2Vmvy7xO4ckypMl1cmS87qh8rdcUSVKUfB6kk5NSpxEQrNB2s26GmHUPWJtTjKHGlcyFOKaCsk+aiUuk+/mqA1JjqYW2TlJTjFdnl5ppacTQuc0u2u1xbsDw2Iv2rzjHnitqS2ZoNvzAH17j1Jx2PUGxN7aLrXDdHbA6YOp3z/eaVZi9i4sVcocOsdYQM4GpX+v9qqJ9OzWrPdX4angEHqCfKnZK1TZzHWyp3mUU9xW/UVOItl/ZzSlp/wCY/wCqxIqeiMZL42X/AHW/ROmzzOH+6RvHPD2y0c45fvjfOP7WKzXNWwcCIqS3w+R3inry/fI+np+SNQ1a9XJtD8pjlJbUr2DWxI1rIuLDkZtrAIxUrm4r4Tq1Elv4j/qmf7Bpt4Jl/wB1v0Uv208PtxhplDYKOjPdP3xvnH9rrO6zw9MpKlbFRe2QPvjf/V1XeRrC4WVkpW+W2x5ZpuTN0myvLk1RGcn2vKrLKPFpSSKqS377/qoX1GHsFjA2/wC636KwLetOHZM52HL4eIzPhkgKGqHzzfR4Qol654a42eXh/YXjyGpH/wBVVW7luDHfdK2Arr1z50jydaTpAIZaPz1sRYbWP3dUS/4j/qs19ZTDZsLPdb9FaWTupw5MkhHDg0sjy++d8f3mkuTvZw8sZxwyROn42rZCf7xVUp18vb/TnKB7j1pJX90ZPVUpWP6arTaCZvGaU/3j/wDMqxqozwjYP7DforfRN7Ng5y+SNwvwVn3awkf4PW1J3Z2Qit+I5wrxMD/3vkf4PVS9O3KTY5iJCSVhPdOehqZ7bf7bd7Wh15KU8yevz1BPFNCQPCSn+9k/zKWExSDzGe436KUou6ex82MX2+FqIQU5x990j0/4vVLOMZbKuJ3cJTEUsNm5IKWgeYNp+LtYTnzwMDNTS9eY9ocdVHeBa9pWP4qhLjAX4nEpr138ee0f/lmjXK5hilY+Nz3uN7+c5zuz8xK6HBDGQ/S0DhwAF+PZZWWV8Hrw8aZ2+0ZrfdbiyGjV6ytMe4xmbhAYbQpS2ULcQgqcHMElwD6qhfiD4eNgdvNPWSXsXxJQ909QXa8tW1VmhMM+K20tpwh0BtaifwiW0Yx3cHWrucRN54SbRsJsKrik0hqq+Id0wwLP9wn1NlpXxSN4vicr7Wc+xjv2Paqx7dXrhAunGbso9sDpPUdi063dii7o1A8pwuTSFfFFI5nnfZDhb8wM4yOlcTDNKRqJPPkLLrHRxizbBLlq+D02k2t03b75xh8R8HQFzvTQchWG3KZVIbx8orWsLLmCQFcjXKk/tzmmDxH8Ckjarb9vfDZ7ci27lbaSVIJukTk8aElSuQF3w1KbcTzEJK0lJCjhSE960/hLU6sb4w9Y/fT8ZUwpuCqzeJnk+I/FW+Xw8+XieKD+65qmv4PtNzY4RuJSRuCmQduFWN34qHThpckQpXx0M+fMUmIOn7bl5faBp5fLHGyYuvfiNrb9ijDY3u8EW7BM7a7gO2V1Fw96U343Y4jl6Ciak52+SVBZ8BDwccSEJcWsZJS2T2HnSRunwCafibW3jeXhv36sm6tg00lSrzGisoRJjJQnmWpKm3FpWQk83IQhXKMjm7VYnTuhdmdf/BubS2ffXdV3QVjZmKfauLTSVlySHJKUtYKVDqFKOceVa+srXtHwG8IN+uW0d6v24Kd6WjBt1+eS0YLQWwsIUotpSEgIU6oJOVLUCCUhJxCJ5S6wcSb7C2ykMLNNtIsqJ8J7kRniK0LImRxKipuZU8wVFPithpwqQSAcZGRnHnV4xu7w5rkIYa4aEqCiBzffM+MfR4NUc4TWQ9xE6DZWMoXc+Uj3FpdX4haNsERCC3AaOAD1SBiumw6v8TdJ1ntJA817m9vGxCwa6l8Za0aWmxPnNB7O5OOPN4e5MRuUNgWEeIM8p1G/0/tdbrDGwTyAs7AMDP8A7xv/AKumtcYTYaQY6AhKfIV9RpTbaOVZCQB51M7FK7TqFTIB/Ed9VEKGlbs+FnuD6J2GFw/p6nYNj/rC/wDq60Z7uwcNPOjh7YcHv1I+P71TbfvsdJKGQVqzj2RmtN83KZhRgSVJJwOVpRP6KYzF6tu8tW8D+K4fNJJRUdrNgbf9xv0TgVe9gk9+HRj/AKzP/qqxK1DsGO3DlHP/AEof/U0kp0hqSZ/nWwXNwn8SKtX6BWVvbHX8ogMaMu/XzXFWgfWoCoZc30NKf9oxPT6ZyPi9RDDA7zadvuD/ACreOpNh84/yN0fHn/mof/U1lb1Dw/KGXOHeOn/pM/8AqqwNbGbqycFrRzqQfNyXHRj6C5mtpHDdunIH4S229gnyXNR0/e81ZU/SflqnNpcbYP8A9N/g9SNwaV3CkB/ux/lSfddZ8PtuZLrXDi09gjp98z48/wDgjRSjI4T9x7jHUy9cbLHJIIy+4rt/WCisx3TVkth0nHN/4kh+CXyBVnhRt9xv0XMRtzGCPWlRst+y6BzEikeEfDdLLwzjsaVo7iUyENlOUn313zDdQPsNkoJSqXynk5Snsc0oRo/jK5FOnmHTGK1Y/Iy/zlfsE5xjtTit+mL7cHBKiQXG0q6pW9+DSR7s9T9VaFNSz1TvBwMJPcLqnPNFTjVKQ0d5WW1MI8FbMhrlI+So1uRXm8Kjuo5+Xsaclj2svd45FLckSDnBTFaKkj3FZ/kqUNH8Pd+u8huLFtalLPdAbMl7Hr4aeg+kit+LL80DddbI2Nv9Yi/sCx5MZiedNM0vPcNv1UPQ49xk4Zjw1JbPny08NMaGutwdSIUNckgg8yQAhHvJPSrYaR4OL6pCJd4tjEVhGOZ+8PBttI/4NOSenkR9NTBa9p9rtHsCRc5ErUjzGMMtN/FYuR5YGSR9Jqu/H8BwVwMTjNIOzhf0fUqaPCcXxUdceDYe3j8vgmHwz7Zym7nbblLK02zTpEl6SEEJekA5CE/1xz8w69xVXtxrtBVra/tyWh8TnXOTJjqHUoC3FHGfdmuh+ntSzb5bXktWyHbLVGeLMKFFbCUpSjuTjA7nAAwBg/RzS3btd1sW7WoNKT2TyNv/AB2CsnHNHeHOMeoC/ET/AFteU5hxOfGKrxuXbkB2c/bdelZbw+LDoTTN370grtrrEkTbbLDwHUEE5+Yjyp62HcVdujJZWj8InoDydQRTOZss9KghBcSpRySk4P8A+6VrbpO5vS0h96QWlHqMefz96wg5dG1sjNmp9o1XJ1L0edkBJ6hIHtrPzep6denUVI+mLe6YS5skFpMdlSgkpwkYGRg0m6G0K2ENBiOlsgBRUoZUfpPapBfsEjUlzg7aade8ORdSUSpCc8seKMeO4P3QR0Tnuop7Cmyuc8BgHFWIYhH+1kPBPfh+21XrPhOtmi9RyFofviJV1gPOA80RxyU47GUM9hyFGR5gkedVf1LpbXWltQytN6kivQ5kNZQtBHsqHXCkn9skjqCOhro5bbTCs9thWm2sIYi29huNHQkdEIQkJSB8wFaGrdIaD3FYTE1rYG3X2wUNS05S4ge5YwQPPByK6PDMQdh3V06mnj3FcRiNIMQeXX0uv7QubitOyn3fEUsknzrZj6acCsqJNWy1Xwk3EPCToLUcOVFUSSzPUUKb9MLQlQV9IT9NNZXDLq1tZauWoLbFWO6W23HP0hNR470l4Hl1gkxWoETTwJa8/wDS0rNjwGeQ2jbf1qADphlRC1gAnt1rxdkhxx0UOverGR+GLofjeuF5PYNW7l/OXTW21wu6aBCpGpbi6fPlbQkH681wtR9ozIUA/wCOL/3Y5Pm0K23LFa7hGPaFUbVul2Lxa3GmCSsAkYFQVOs6oMlceQ2olC+XqMeddP2+G7QyUcjs65r9/iIBx+9pJm8HWy1zlmZcrfdJClHJSZykj/sgUyl+1nkXDiWuEzx3Rj5uCqVmR6+qsYy0H0/yXNhiM0D7LYz7xWWQWoSQ68lKR2zXSyNwf8PUcAL0Gp/HX8Lc5f6A4BSzG4adg4yQj9ibTb6R2EqGJH/1OaqlZ9s/KjLimopnenQ35lQw9HVbe8srR7SuWihapA50yASfQ1ux7WJKgmNCUtR7cozXVy0bPbSWFfiWTa7SNvV+NFskZpX1pQDTkjWq2Qk8sO3RWB6NMpT+gVy9V9tSj/8ArYW/1yNHwBWjH0dOHnzD2Lk/b9udXTkhUPTE1YPYpjKP8VL9u2L3UnEJjacuiEnyERwD9FdSQ2hPyUAfMK+sDy6fNXN1f20MTk2gwtg9Mh+TVdj6PaYedKfUFzYicM26slpSHdK3ZfMnGTGUB29TVZ+MNhcXia3AhvNFK2bg02rIBORGaB6V2++gfPURbm8JPDxvBqdWs9fbcszr26yhh+YxNkRVPpQMI8QNLSlSgABzYyQBknAwmCfaqbjNU4ZnpxFG0dUx3dvz1XI9VlfjykyiYfFXXJ432XLziT4qGeILb3bLQzeinLGrbu2fc9UlU3xxN/BMt8wSEJ5P6DnGT8qoEjS5kGQzOgSHo8qO4l1p9pRQttaSClSVDqlQIBBHbHSuyX8z34Rv9613+HJ362j+Z78I3+9a7/Dk79bXUx/aIyPG3SHyW/cP1Tn4FVvOoke1VQsnwkmkda6Utdh4qOGzTm51xtDYaYu62mEurAGOdTbjSglav2xQpKSSSEjtUe8SfHfe959Bxdndu9vrXtxt9HUlTlotZHNICMFDa1IQ2lLYV7XIhAyQMk4wb4/zPfhG/wB613+HJ362j+Z8cIuQP2Lnepx/o5O/W1E37QGQw7UHSe4fqnnCK4i1wuc2tuKhrWHCho3hmOjHYq9Jz/jpvHx0LEjq8eXwvDHL/Ru/Mfk++tzani1Z0lw66u4adxNDu6u0zf1qkWpSp/gOWaQoBXO1zIWMB1KHQkYAVz9+c10N/mfHCN5bXPfw5O/W15/M9+Ebz2tdA7f6OTu/5WpHfaDyM5paXScb+YfqkGC1t7khczuDeMiVxSbbxlJ50uXxtKwkn5PIvPUeWM12OZ2m0CyQoWIKIH+mSHj+YqxTQ2z4S+HrZ3U6NZaA23Yg3tppbLE1+bIlLYSoYUW0urUlCiMgqA5gCQCATmXeXrkZxjt6V4b0t9LzszVcByrPLHGxp1EXZcki2wPJauGYWKeMioAJum+3t/opsdNL244/HYC/7rNbTWk9MR+jGnbWke6I2P0Cs131BYrAwJN8vUG2tKJAcmSEMpJHoVECtxl9mSy3IjvNutOpC0LQrmSpJ6gpI7j314jNmPH5WiSarmLTzMj7H9VqCCnB6rR7AsCLRamTlq2RUY7cjKQR+atlLbYGUNhPpgYpjWffTZ/UGslbe2XcWxzNSIW80bYzKBfDjRPiIx+MnBynv0Poa83c3v232NtEK+7l377lwrjIMSM4mO494joQVcoCEk5wCfopr8OxysqWUT45XyyC7WkOLnDtAO5CXVCxusWsOKfnX1rzr6iq6624+uHHQb9uj3a/Xd9d1tjF3i/FbW6sLjPA+GrJwATynoeox1piXD4U/hzig/EdPa7uBHT8FbYyB2/9JISfzVv0PRZnHEWiSnw6UtPAltgeXE2GyikrqWPZzx7VcYfPRjPeqp7m/CF7WaE2y01ri12G5Xi76tifHbfYy6hhbDYJBVJdHOlsZGPZCyT0xgEhnbH/AAnmjdx9ZQNGa+0GvSTl3kIiwrixdBNi+Os4Sl3mbbU2CSAFDmHXryjrU0XRRm+ehkxBtE7wbNQO7QeqbOs24cQCOQPcmnEKYOEZduruk49aK8ByMg96K87tbZXd/wDQXBCXEVyJebScjvW1bvCkcri14KP01tJb5klPlSnoHTLlz1YxHUgmMz+He/dJHZP0kgfNmv2hw6B9bUMgj4uIC8TrZW08TpXcBupb2m2ik3lbcuVGQp0hLqlOjKIyfLI81n0//tXb2l4PH71Ei3e6stwoTgDofns87zoPUKQ10AB8ifLr171t8Km0tvkSUSbw0gwLK2mZLCh0ekq6pSf3KcE4/cp9TVmLxqddwCmkfgo49lLeSMjyKvQe76fKtDMmaJsKd5Jwbqho6zhxv8yePcqOB4CzEh5RxHfUeqCmpbtptodJoDYtLt7faABVKc5m8j9ykBOPopT++9u3MfELBGhW5hPZuFHSlI+oYpFnTTMfLQJKW+g9SazRbIqQ8gn5BAya4N/hanr1Uhee8rs4o4qcWgYGjuCxzZEq6oXLmyXXg0gkuPuZSgfy+4YpBuMMi0uXSYSTyqUnmPyE+Q/x99Oa9eG47F0/D5fbWFu4/FH/AO8UkbhJQ3bG7Y1keNhkH+mIT/HSsAaNgpNRcd1uaHt67boi2MvJIecjh5YJzhSzzEfWo1WTjD21ebc01utBjZTFK7RcVJHUtKUVsk+4KLg/r6sxrHVUfSVmS23G+NTCgIZjpVjJA88A4SPmqG7Tri7asXP0rueGpFouiFx3YjTQShjPVDiP23MkgEEknpVSSLXG4EK3TyGKUPHJQTabA1cYbM6IApQwTnqfmp9WSKiKyhDtvQpR78wr50/pSfpHUcnTFw9ptDn4B5KcoebPyVpPoRg05Lu19zGFlKR0HciscMI2XUgtfu3gvufqeHYLSuY8kNpQnHI2OqyegHTuTU28Pe3ciw26VrTUjKxfb4EhaXOvxVgfIZSPQDqr1UT6Cog230m9Obb3A1BFQ/GiuldsiO5CXFpP9GX5FKSCB6nr2xVlNAbhWHW0NyNb1BiXCITJi56oz2Un8ZJ9foq3HTOa3wjljYlW6wYI+HP0p3BPXyrTmLKWlKWkLwrAzW/gBJIrRdQpxtaSD3zUjOO6xivhl34v+GYcLSjjPXvW4m5x5KPBucUOJz0cSnP5vX5qTHHm0Mkr+UnpSfGkLfknwwoJ91JVYfT4hE6KpYHNPIi4PtTo5XRm7SliVppqSgyLPIStJ/0snqD8/wDEaQZEaREcLMlpSFjyIxS5HK4x8YKUF/jD+SlH7oRJSAxdmEFKugdx+n8WvnnOv2fcIxbVU4GfAS8dP4CfR+H1bdy2qXGHNs2XdM6il25aYWygybYvxme5QDkge4+dIWcDKh2718lZmyji2UavxTFYi0ngeLXDuPP48it+Gdk7dTCvFHlBJIAHcnyr5bdbdBU06lYB5SUnOD5iqb/CfboyNI7MW3QFtmFiXq+4IEgoXyr+JxyHVjIORlzwR7xzDzqFvgyd839K60uexGqZbjEW+KXMtiJJ5S1PSPwrWD1BWgc2PVBrtcM6Jq7E8ly5tifu0kiO3nMaQHOB7t9rclUfiLI6oUrh610put3tVht794vtyi263xWy7IlSnktNMoAyVKWohIAA7moog8YPDDcb0mwRt79KmWpfhpK5fhsqVnAAeUA2c+5X11SD4QvcnWu52/8AB4erJcnY9otq4bHxNLhQy/NkBKvGdH7YIStGAc4HMR1Jpwo+C0F20Im6WDX8xm/uMeKymcG/ij5xkZQhvnbST2POogHPWuhw3owyxhmD0uIZvxB0ElU3VG1jbhrTwc49/q/QqF9dUSSujpmA6eNz8F0bRIYcYTKS+gscniF0KHJy98g9sY86rNrv4Rfhq0Re5Fiavdz1A9FWW3XbRD8aOFg4IS6opSvB805B8jVed3rFvbwq8HEvb+662lTWdQ3hm1tulXKu3xVIWt5iOrJUG1+Fy+0R0WvlAyTWlwOcH23e7W3Sde65gt3EznXkIQ4VFEdDTq2glCQQOYltSio9gQB758I6OcqYXhVRmPH6p81I2QxxeB2L7fiN+HZbuvfcJJa6ofK2CBtnEXN+SuxsjxR7M7/pej7faoS7dIyPFetUxHxeYhvIHOG1fLRkgFScgEgHBIpjcSHHVthw9XVWkjbpeqNUNthx63QnA03GChlIeeUCEEjB5QFKAIJAyKa23vwe2jtrt3WNyNFaruraYjvxi3xnXikQlEYUnoOZ4EFQAWrGDhQV3qlXDZp6HvjxUzxuYhEq5XOZNnusTBzJXMLwylSCeobClEJPT2APKruXch5HxesrMYpJZJsPpYhIYz1X6jfqkjfSADci2/O26jnrKyNrYyAJHGwPKys5oT4WHR14vLcLX+1E/T1vdUEmdBuouHg581tllpWB5lOT7qkfjB4w9QbFaX0Tqra226f1Fb9ZNPvR5k0uuMltKG1IUjwlpyCHM9/KmV8IHsHs/pnh0m60tNhh2zUNllwWoMlrDa5QdkIacaUBgEeGta8AdPDz2zmkeoL5erzwn6ViXFx56Hp7Wc6Db1uAkMtPxUPKbB8k86VED3nFdZljIuSs4GizFhVIYofDGGSF7i9rurs4Em/Gxte3HbZV6irq6bXTyOBNrgjZdcNJ7nXbXPD6xudaW47N4l6W+6aE+EfCE0ww7hKVEko5z0BOcYzVENBcevEBq7azdG93O+21N3sVvtkq0uxrayhEfxJKm3yUkHnykpAyemM1arg1vtnuXCPY5M65RWoUKzGJMeW6nkZDTAbc5znCcBBzmuZnD+1IlaI3bt6Y6lNK0O9JWsJyErYcS4gH0PRf701m5ByjhD5cairKRjhT1EIbqaDZplsWgkcCBYjsKlramT9lod5wPPuVyuCrj6vGtdSHbDfm9RFXG7SALHeVoRHS48roIjnLhAKjjw1dMqVy9SU01N0t9d5NO8e03buLuDdk6bF1jxmLWZBRGCJFtQpIITg9HHeYde4qtO13DzqHdvaHUuudAtPTNQ6QnuOyLc2v8JLhBllZ8IebiD4igkdVgkDKuUFK0xuFqTXm+2jdYaxmGVdk3K0xJEpSSHH0sFtlCnPVfhoQCrzIz516kOjvLcOMYliOEMZpEL45IiB1JLBzXMHIEdnq5hZvj9R4OOOXmRY9o5gqU99dt+MbaHTS9X7k7r6odty5rUFKmNSTnGy44lS0gHIQRhJ7HoelOfhR4dt7dd3bSW/Nv1qq4xLdP+NhiTLeeeyhSkEHxDygnv5+VWo+EdjJuPCLMmDqIlytMoEe90Iz/bKRPg8NZWmw8MV11Bf5iItt058bly3lHo2y2XnFq+gJJrhZM94piPR0cWpoIhO6cwENYLFpaABvwJurgpI463wZcbW1cearn8JHr+6bmb4WnayzxXZY0dax4zDKeYuT3m/GfxjvyMpaHuIXVmfg4d+39zdp17fagneNfNGBDDa1ryt63n+gqPry/I+YJPnXPTTmuN2tW7w33ePQ2jZN8vU2ZKlPpFtdmtxRJKwEr5MBJCOZAKiBgGnDslrzXnC7v/ZNX6w09IsEW6LKbjCcaLSHoLyylZQnJwEK9oAnI5cdMiuxzJ0f0+IZIZlSHR4emia9lnAvMgBc8aeNnX/XuCqwVzhV+MG+lxsewBN/fMah0bxSbgTNOypUO7WzWN0ucN+LkOMH4y5IStJHblSc59Ac9KmjiM4obXxLcKmnW70/Hja60rqKMq7w0YQJTSoshv40ykn5ClFIUBnkUQOxTn516q1MfCRT3Mx5EC5XWM+AQFNvtS7Y0o9OygQ719cmtbji4Np+yeoFa+26tD0jQt3kFIjspU6q0SFZPgkDr4SsK5FdQPknHs82xHiOBV2JYJT4uPB1YhjlhfsLnTpfGT38QPmN4nMmayZ0W7SSCPgQrA8OfDHtHv1sNpXWOttPolX2Hb028SPGc9ploEoQUhQHRS1HOM1Wfgm220Prnfe+aH13p+Jc4TTTqG25DaV+GpD/AC5TzAjPUDtV3/g6pDzvD1bYEhtbbkZagUuAhQBccT2PXsmqs8LGhNdaE4xrxMvmj75AtLkyc2iZJtzzTCwqa2tBC1JCSFBJx16jtXmdBmGsYc04bLVEaLmEF/m9Zxszfn2BaD6dp8XeGenb4p6ccHBlqph7T2uNjdNGbabFBMSTa4wR4sbkdLiHG2sALQeY5SAT07HPSEtv+LTUW3+tI7m9Wz1nuS20hmZJ+5htl7SyOx5+iVADOEKQObtzCrv8a+0nEbrq2Qr5sNuDc4TcFlTc/T8acYnxoZyl1tYxlY7FK1AYAwfI0pvWx3GHv3f7XB3bZfbYtZUy1Lmph+I0lRTz4bi+06s8o6q74+VWj0dY5Q47leGDMtVBJEwPBu9zJ4x+hcT2ggcOKZWwyRVGqna65tyu0rq/o2/2LVOlLRqTS74kWm5QmZMFYyMsqQCjv1BwRkHrRSJs3owbe7cWTSAQ4hu2xkMNNuKypCEpCUhR9cAZ9+aK+PcRbBFWSsgOpgcdJPEi+1/UujZfSL8VxfYSVYKRnqOnrU48POk/j1yZmPtey474qiR3aa6/UV9D81QhEOFJSBnmUBj1zV1eGnRDsoxLY0jKpb7FsawOuSR4ivm9odfca/azK7BT+Gr38I2m3cTt+guV4Hj7jJ4Kkb+Nw9g+uyuxoCyL0ls1EU8fBnaklpkKV5htXVI/JN5+dRr7ecab8CJHcJK8FRJzzKx1NL+470WGmHZ45CGbVHylP4qinlH1J/TTSsPJMt8O5IHMGneRR+nFebsmdWTPqH8XEn2ru2QimiZC3g0AfVfIWpvVLtuT1QQhQ9e3WnnMlt22OEoT1x/FTAVJK9duuoOAiOPrzTim/Gro6hCFdAfa9wqwW6kl+1Z9KR1Spb90kDmWskJz5DyrW1zCkuyIchppKvBcC8HOOhyM05LNDRCi+GnrjrmvLgRIBSACKZcF/chM6ZYQ7FNykYkPq9pZUOv0eg91MPWugkXaEbrbU+HIYyQUDBHTzqXWEFKS2RkE4xWgmImM+6ytHMy/0I99SWBFkrHlpuodstumX/RovTzPifcuSWXHCnKmFDuAe/KTg+gz76ivc29z2QYUZDjq3zyobbHtLJ6AD3mrOWTSV50VdZ0i2hqfY7sSuXb1kJVzEcpUgnpzFIxg98eVJFg2etEnUczUDJXKjPD/ACuEhvlVHSoAqJB7qGSnPp89ZVTS65Lt4Lbo8SbDEWvFyOCdsDT9kmaNssCzMLMFNujiM2vAWEeGAEqwT1Hn789TTTibfX/Q2omtZ2FoOrQCHogJw6yT7afnx1HvAqXrLZIVmtjFvit+G2wnlSM5x6/Wa3ByNkgdR6GrIm0t0cVkF17ntWe23WHdbezcIbmW305AV0Uk+aVDyI9KwzZiWwUpyT7qw4S0lSGW0thZ5jyjGT616zHC1Ba/ax1wartYGnUUzUStZmE7LPiPLKUE/J9a2VpZiFKWmwCa28cozSbOWSsK9KkaTIbJLJUDYW3zAjrXhThJSPprFCeDrA69R2rO3nmU4ccqO9Qm7SQnXWW3ufFJaG8kNveyoZ6ZPakPUUT4nc3AE4Q57ace/v8AnpQXIRJJ5PlIORWTUCfujZ2Z/dbZ5F49/Q/nxXinTrlkY5leSpY39pAdYPOw2cPZv6QFsYTUeDlDTzXGHj23Gum7PFBL05p+C9dIejGm7PDix0qdMh1B8WSrlTk9VqLZ9zKTUV681NujG19b957loN7Sk+NJi+A+1CeYZdkMjKCS5nKyhHKcYyEds5J6maZ4K9ptIbjStyrGiYm6zXHHH1ynnJCl+KoKdyVKwOZQPUJGAcVKmsdqNudeafkaW1Vo20T7ZJUha2FxEAc6DlKgQB1B/k7V5lRdOeX8vUtFhdFRmWCKIRuJ6rrHz7NvY6jub8T2K0/CJpnPlc+xJuPVwXMPils+p9dSdK8bO2kJ+TaL3DhyLmphPiqs91jBKVJfSOvISjHN8nKFA4ynLxvPwqGrZu340xprbmLa9TuQ0wk3UTi8y0vl5fFaYLeeYdwFKIz3BHQ9A9udotEbWWORpnR9ojw7VKVzuQkMoSxzEYUeQADJHf1xSWjh42dYupvUHQ1shzCrmL0aM22vP9ME83565z+lXKdbBFRY3hpqGUxPgHF2k6L3ayQb307DsIHDc3m8nVDLuik0l3H09oVT9u9N798YnD5ftB77ymG5jxam6bubsFEeTHfZyUPSUtgJKHOYt4CArlK1dfZqANu90+LXgqk3TbwaCWuM6+p0RLhbXZTCXO3isOsqAUhQ64BIPfAOa61Wu0WuyRBCtcNuMyDkhPdR9Se5Plk+XSvZ9otV2QlFzt0WWlGSnxmkr5T6jI6Gsag6YoKaSpo6rDYpKCZ+sQ20hjtt224XtuBz323Uz8MLtLmyEPHMc/SuZewSeLzd7fJvdTUuqNSWaI/IZkyYzTzkNichGAiK3GBCQyAMKUsdASeYqJNOnim4Ft0rRr9/fLh7kuLnTJX3SlW63yTFlw5qjzOPRnCQChSypWMpUCT3B6dCoFltNqSpFqtsaElfygw0Ec3z471ucvlk4x2zUE3TTiMGMNxHC6eOGJrPB+CDeo5n5XdtuR5espRhUZiMchJN73537lyLuu0fGtxE3eBaN3Ljd1wYChyruzzXhM9gVIjx/luYPyinJ81AVeDS3BloORw9vbJ6lhONRZbaFtPjBkxZKFFaZQPYOlalEgdOVRQfZOKspypHZI+fHWg5JzWdmTpgxjGo4IKJjKWOFwe1sQ0gOHA7c1JBhkUeom7ieN1y0vXwb3EJp6bL0xp7X8SRpmU6VL8JyUgOjPQrjoSpBVj1VVjdleBm3aK2p1doyfP8K46vtMu2ybi6yFOBbzDjSF8gPRDYcUoIzklSiT1q35JJ70EnplRp2M9NOacbpW00r2tALXEtYAXObYgu5HcX7EkWFwRO1gH1qsnCJwqXnhonX5iTqEXaFdlpWFqbS0QpIwCEhSshQ75pL3J+D3211fukndXTVwlWCY7LbnybfHKUxVSUKCi4kchKeYgFSQQM5Ixk1a7tklWeue9BBIyDjNc6OkPMnlSXF4qgtmlGl5AA1C1txw/RT+JwCMRlvVHBMbcbaLTm7W17u1uuPGdt0tiMiSqK6WllbKkLSUqwSBzIHvx6UzdveE/bbQe2982k8CTO0tqBHJNhKlvtqcBVzKBdS54gB7EBQ6ZHY1NmFY7H6q1ZN1tkMc0y5RWAO5ceSnH1kVl0mN48ylOH0kkgiLxJpbeweLWcAODhbjxT3xxF2t3Hh6uxRptPw2bZ7MKljRNnZisS1c7jPKVAqwAFErUpRIAx1Pr5k05NbbQbcbh/F1as0ja57sQ/zu+7DaW60D8pKVKScJPTIHcgGlF/cHQcfId1rYkKHcGe1n6grNIV4342esKc3TcG0tZ7YcK8/vQa1GUWc8VrPH44KiSZ34gyQuPLiBc7bKE1FFC3S57QB3j5rIdk9tFmO49piK49EQEMyCnldSkYABWnBOAAB16AADpTzkxI8yMuJKYbdZcTyrQ4kKSQe4IPeo+g8Q+0FzQXLZrBqWkdy0w6R/c1mXvrt2kexcJbh/cxFj9NXHZCz3XuHhKCocW8NTXi3o1AW/RMGJUAF2SNt6R8k87ZY7RZgtNptrEUOcvP4SOUqxnGfXGT39azrgQnHxKchsqdHZwtgqHp1I8qibUnFBoHTURUx20ahmoQOoixmc/9t1NRXc/hDtFMJULVtvf5C0nBEmSwwP8AsleK26HoO6SMWcZIMNkN+JJaPbdypz5jwqlFpJQPb9FbTqe/018lKAoKKQFHzqjdx+EruTJUmNszHbOfZLuoFL/MIw/TTbnfCU7kvK5bZt5pyOD2D7r7x/MpA/NW9B9mXpJlNjRBt/zSsH/cqhzhhFriW/qP0XQrtRXNub8InvW8fwVm0vF9yYzqv0uUVrN+yn0hAdaOIH+I1R/fPC+Tj7Cq06EgfdDU0NtSOZtlXxhY9yOo/PiuofBxotCLxEmPtgps0FT5yOz72Rk/MFOfmrnpw8ac+7l9TJcTlpxxDXu5E+24PqCR9NdYdhbT9621k3UbyQJN5eWpHTr4SfwbY+vnV8yq/RnFZvJeWBGNnTkn1eaP0B9q8yoI/H8dJPmxD9ePxssOvXnLzcXmkrP4Z5a/nQkdB+j6qQ9DT8Wi5QlHmLD5KPzfxg0ouuFeoULBylDJ6fOcfxU1LRIVbtTagtDXspcSh9PuyD/Ga4WnZojau1edTilC1uCTqG4TR1SgoaB9c5J/ip42eQAtQPyldPoqNoc16LazPYPItx9Sz7z2/QBW0L46uMmSl5aHAeZKk9PaqxewKYQpmjnlQE+6sXhZPKOma8scz7oWqPLWRzqaSXMeuOtZHnwo8jDZPN0yPKoBxQvhSG2UEco5j50nOM4y4rqM5pTUyW2yVqypQxisC2iplWB2TT2FNWlannrlfmrYesZLS3ns+eMJA+sg/QadgQppPhrWgqSPawnl8zgY93am3opCXL1dXT8pllhCfeCVn+Kll54iSqq0o1ykdikGwW6sKKRg1r4Vnqa+mHUukJz1FZXEiovNNkDgsOT51niErQfUGsRAxX3DPJzA96HcLJAsr6w2ADWnMjl4ZR0ryc7laeU5xWxGUFMkg96UAsAci90n2aTl1cdZwpPlSrKUG4yuXushP1+dJMlv4pdGpLfRLnRXz0rSVYQ1+MTk0S2c4Ec0A7LXCA37I9O/rW7a20y2Jtsc/obqAtPz4wT+ZNJD758YNp6nNKVrkeFPZKjjJKV/MaqYlRMrqSSnlF2vBBHcRupoHljw4ck1pD8eEpQmPtM8pKTzrAAI+ekx/V+lYhPxrVFoa9yprQP51VDfEVpI6e3ImPpQBFvTabgzhPRKz7Lifn5wVfMsVEeeRxSD0wa+cqP7LGG1A8K/En2PIRtH6lx4cFoy5lkido8GNu/+Sto5uLodpPMNU25f9I94n9zmtB/d7b+P8q98/wDSMOn/APGqzRJHIcVjvUyPBiOS5CwltA5ic1r0/wBlnLjHgS1c7vcH/YfioH5mqNOoNH6/VT3qPiY2o0vCXPul1lhpH4sY5PzZxTB/yemzb6gm1wL7OJOB4bDacn+uXXOzfjdSRqS6uWeC8oxm1YPKT617sBpW4Xe8ofcDnhBQPWuzw37MGRInWqGyyAC5vIR/0gLJqM1Yi5t2EDs2+q6g2jiXsN5hCbF0tdEJIBCX1toV17diawvcRoC1JY0dnr0Lk7H5g3/HUIWhoW8Jig+ykAVtS0htfiJzhXU1Yj6AMgU8nUoyR/We8/8Acphjte+MXfv6Apfc3+vbzK1xbFb2lJGQFuLX+gpqPNT8Ue5sIrECFY2Ug4B+KOKP53CKbr8wsRisHorpmlvbfaqPru6O3/VKJUPRtmiu3G63BTK0tONNdS025jlKj1zgkhIPYlNb+HdDOQaG8kuGsIHbqP6X4nkFUqsYr5hpjkIKYrnFdveu5hEjUUJmMs9Azbmug+cgn89Lo3/3PntBadWvpSR8tDLaR/c9KXNMcSO+Oub+1p3hl210/pzTvickGMq1+NIkNDoHpC+dKGknocntnqonFPreKVw+w4lnib93m32rctQLk5jb9lTq3PUOoU24lIOQcu4VnPKrGa6kZHybTOa1uDwNvwsxj3W7S0t4d9ys6Opr3Au8Yc703A9AN9z3WUVwN4dwZ7/gv6suauuMpc5c/UBStP1LqKTH8V/Vd4KldSDOd+1WdO0ukNS2KdrDYXWs/Uv3Ib8afYLtFEa6JbAyVIHI2HOnYBGFEEBRV0puJuVuk2hmcxJbcQ+gKHXt7seo9Kufd7AYpAaOjjZ3CJrSPVpFvmpIqipDSJX3PpPxv7Ul3SNIupJkz5DxP/nXVL/Saa0uIuA6UqSBjzx3pZmXBLbn4J0Y9awybjCkxy3JUgEA4JNdRS0ohADGC3oA+AWdM4SXOqx9KQlzsjvTJ11d2VtojhZKhRqXUzNvcW3GUFlORTCTc3JNxEiYeZGQeXHauvw/DQ0+Fsudq6y4Md1M+1ccx7f4hPRw1JQex0Gaj7RdwirtzSmMJ9nGKdaZQIHUGuZxJjpahznBbtC5scLQEoTEty4y2lpBB6HIzVe9xtNGwXT40y0Sw+c5PYVOypPTFIWqLRGv9sWw6AXMHB9KMOnfRS6xwS10TKpljxVdLgIa0eyBzkdqa80rikqDYHn0px32DIsdwcgyAQUnCc+Y8qSJDYkJPMfdXaPkbUxhzDuuYawwP0u4JuvXEOnoMEd+lFbsmzNK9odQD1orFkhqy7ZabZYLKz3CrpaQixRnkxlKfcZQhCeXqXn1ZAHvxyj6RXT3UMVnSmjrRp1ogJgxUpOOxKEgZ+k5qqHB9otuZftPoWwCzFUu6uDl6J5QA19Sg2R81WT3buwXKkxy4cISlpI9PM/nJrl8+1DTXRYfGerE0fT5E+tb2UYSaaSseLGQ3+f8vUmpp+U3OvbqFHBLPs569vL89Nefzx9yHox+XIgLUjHTnLZBwPoKj9FbemXlxb208tXQnH11s7mwXbfc7VqhpJSYklClLR0IQr2T+Y1zrR1bLoybFNl+Wpc9NpUnkYitJXj1WtShg/ME/wDaFfLTvxyYGW1fzuycn5xTZmOSFbqXpwPqDci3NHwwfZKkOH2gPI+3+enBFkoZZDTQAUs4PvpNV9k6191K2jrwQyWlLy38kdaesdxt1OUkD3CoqsfNHYQnsrIzTztV0Jc5SDgUrmam3CjJTgkghwdemO1fIH4FZ9RXjjqXuXl796+x0aI9ai4BAWDRzQRJu7w83Gmz9CM//lW86OZ9Sqw6SSEsXVY/bz1Y+httP6QayqcQVKJ/GxUIP7RxTuS1Y76m55TzZApYdXkdKbjxW3NKwemRS0l4KbSoHuKdI3cFF7bLOn2q8SsdcdPKvhLmB0rEVYJA+eow26F64knzyayR+ZLSgcjPbpWlMnNwEeOtJcURhLae5NNm66o1RHSqWLQ4mO2MkITzKx82akDC7ZNJATnVJYdZTzvJ52neUgnrn5qUHZbchtCm89BjrUW/fNbrs6xdoUhPhPA8wCvaS6OikkeSgfX/APjks98kvOss+EXEE4cVnt76kdBYXSat05IzQSouPKyonoMdqzoWlThOFenavHHWwstt4JHnQyVk9Sarm53KeOOyj/ihsa7noC36sYRl2zyEpeI64adwgk/14R9dVJlyMuBR+mr/ANwszWqdK3rSskBTc+I4ykEZxzpKc/ODg1zwufjwnZECVzJkRHFsOJUMFKkEgj6xVjCnkB0XYf0Kr17BcPHNbSZ6W/byCM9euMVBXEJvIIMRdjtklIdc9lYSe1Lu524cXSlkew4PHKfYTnrVP7vdJ+qbyqS84txTqunngV0LWeDseZWS5xdcHgtnT1ul6gvCSrKudeSr1q6m0GlY1gtbboQAspB6D3VDW0W3wjMtSn2gSeo5hVhbM8mIwmOCMY8qvVLvFafwTfOPFVIR4ecPPAcE4pj3IsOJOCO59a2EzfHj4UQcCkd99LiCCfLpWrEnhpZaUr3Vig6m3Wp5rt+CkvaDSNr1vrDwdRkmyWOK9d7ihJx4rbQyGz+5JI5vUAjzyFHT++GsN69kt87xdm41u09H048nT9rjNBKYsXw3UgkjqpagAT5DGAAKTdh9U2qx7hfca+lxNt1XEcsLq0J5uRb5CWycdcFeEdPNYJ6Amke2We58NcbVG0G7OmbivSerozljRfLcscxj4X4brPMOVS+VXtNkpUMEjmxgo9onkAtuACB6Dvbv/kow8xXcOFyPaPglPTkXd1zh20DYtsb/AG3RenLqzcn9WanecbiqittyORlHjk8wKklQwkFfsAZSM1oq0btNsQLdO/YgnboWG/Mc9x1su4tKjq5x1EXkWeV7OMLdUhefkqGc0k7x7cOXPavbRjQd5XrjRmkV3VV4kxApCIy3XUuMKkxslSFJSVAkggdT0Bpb2/n632i2L3F3StlhEe3uwLeqA3PjBUObmRyrPgk4WktuY5sdQRgmp97OeDYF2/FpN3WFz51xyHZyUJHBh4gc97bdnAp/bS7cWQa/sW4Owmu2rzamJbaLnZrk74dxgw3fYdSoHHiJSlXNhXXKUlJWcZqzuD/Oe6+49ksUnw7bbtUzm4qE9EoSXCSkeWAokVKG5y4W3LO0u8e3EI6ZuOrWX5ciJBeUI0ZxsJVhlJ6paVlQU0cp5TjGKwcWVntkXdbT+rLXERDOv9Ns3e4R0DCTMRypLmPVSCgH1KMnJJqWlmMdWJC67bFu4FwQedtjxNimTMDoCxosePqPZ9FCC416dPN8eUPpr4RYpr68yLg4PmVTmahNqbzzDNfaYTYUOxroTiZaLN2WUKG5uU3kaBtck5fWpee+etNXVehfibil27mKR3FS5Eh5xgdK0LralO8ykcvqelFPjcrJes7ZLNhbDHsFGFg1WxpOGE3N7lUfZ5T5f44p+2TWsC8tJcjPhWe2KgPdJE5d1WhbBQlvoMdAabFh1ZcrA+hxt1fID1TmpqiVsztThxUULHRt0gq3qLpzdM/nr7TOyO+fpqItJbmwbs2hqS4lt3t1V3p7s3htYylaVD1BqoYr+burIktsUh7o6bZu8NdxjtgPoHkKhByQ4z+BWkhYJBFWOdmsPtqaX1Chg1C+4+nF26WZ0VHM2s5OPKrdLUOi6pVWeEP3Ca7r5Sycq6k/VRSO9MUpPKT0oq4awA8VA2n2XarhO0uxbLLddTqQEMYRb42enK20nmWfmOUD+sNaGuro5PnPylE8rzmUgn1NSDpWOnRez1ptqm/DlTo4cWkDB5nfbVkeuFAVDmoZjky7LbBwhlWOnbIryysqvKGIzVA3udvQNl3+H04paOOLsHx3W5FR4Tja/NBBzSxrF1+52otvPIMR1kJKe5B9c/PSdBxJaTnAUBg1jv0qQ3anogdSHEt5aPfHuqw1SOFyomjuKkbjSXDIK/BtakHB+US431/MfrpywVASmQoj5YPWos0xqNx3d1+3XBBS85AdRnsDhaD0+r89SW2rlldB2V0qC/WUoFmqS4jo5wEkEYHb5qdNtxjPTNMWyyOdCFE9cU8bdISAME1ZBBCrp0Rj7IJNbzZBGCRjzpFjyQUjrW80/wCzknv0qFzUL602uWi1yRHQlSvj8kq5jjIKyB193s/VWSQjwnOXxSaNML5bY8s9lypJH5VQ/irFMc/CdKgjHXKc5YljmOVH66zx3ygchORWqVk18FwoV7qn03TUttugjFfDmU+11xSezLCSAomt5mWyscquvz1EWlvBC8YS045l1OT2GR5VmnKxHUhAz0xivsFk+0MA18PqQU9SOtMFy4JQq5amtbtv32hyxdJDca6WNx4wwlKWfEZdALnbJOHk5JPfFShY5K1XmOhl3LaUDm5R060zd5JjVku2ltQFLaOWc9bXlKGSW3WlKAB8suMtU49AuqlSfjJwQpQxj9FXiOqU3mpM8RhKyEtYPurZQ6jHRI7elJUp4MrASFFR7YFZmlu8vtHHSqRjuE5p3S9aJSUXVtsk/hkFAx2zjPX6vz1RTjGt8bbDc+7XQhLMK+si6sjsA4ro99bgUo/09XNbk4ktvpJIZIX075BzVWfhY9C3O8bG2fc6xIUpem7giPcAjp/OUrCAv38r4YHzOLNMpnimq2udwcLJ1RGZachvELlxuXriZqy9uHnWppKsJAJ9aWNq9IfHJqJMhs4PbzFMzS9jeu05IKVKBVnNWW0RZWYERIKUgpHkK7GlAa01Mnq+q5qd2o+BZ61Ilhgs2+ClpKQCB0yMVuiT4K0qCugPrSfHmAthJPYVikvkHOfKs9zzK8lxVprNDRZOZE7xBkK6H0PatORILa/EH10kxZ58Pk5qzOSeZJCjkYqHzHKXzgnVpHUEW0au05fZxCo9rvMCe9nr+DZkNuKx78IOKmLdPdbc/afdvUNk1gxF1ptrq9abla7fdEBbL0ZaElxlh4g8i0OZISQocvKQBkEVoZm8pKFnoOw8jUlaS4jNU6QsSdH6h05ZdbaaaIVHt15R7UU+Xgu4VypwT7JScftSkZBHRhxB0g25XtttuD2g/wDm6Zci+5F+z593t9CX4O6Gj9L6qA4VdqtVXDW19ZLSE3N9Rg2tJ+UkNIVl8Dv7aihPfmAGK0944WqtttndeM777uxb1uLuHFgRrfp5t0Ouxm2ZPikobQeVpvqrskJ9n5SicB86H4lNub5pu86LNtZ2TuNySGYd/szLUxCR0/oqlNAo8x1AABJC0nrUeI2t4X9u7mvXu6XEdbdcuBfiuxLU98euN0WOoQsocWpIPY/JH7pPekLyyQl4ItbfzibbjfcW7r+khNDLsGmx/QD1cf8AXAqUb7tTp7U+y2y2qNydbW7SemdH2x2XdVzFhDshDiU8rLWTjmUEkeZ6jCSarhuxusd6N15OtoEBcLTNqhN2XTcd1JQv4og5Lqk+RWokj9zyjyyUjdvcm6b8bhffvd7R9zLBbYyLfp2yqA5YkVB+UpI6c6j1PpgAdBSLIWENhbScD0HlVimgOsyPPEk27Lm/Lj6e5JI7q6WDsSxGnpS4W1KGD2JNb6JSeh6YpnrkOJ9tPlShHmOKbxmrkrRxUDCnR910tJ5QR08wa1JF35gcHv76QHpa09611TT6mmRxC+pOdIbWSfq6w2+9oWpxseIofKxUJat0XKtZW400pbQ65wanV2QF5BPSkmexHlNqafbSsKGOtakUpLdDuCoyMsdQVbkPy4T/AIzKlNqSegJxUgaT3NcaCItwcOc/K8vrrLqzQjYJkwkDGc4FRtPhPQni04lSMedREyUx1N3CeAyfqkbqyEDUTU5sOsvJWkgHoa+7s2xd4S2HR3Se9V6smrZ9nWkeIpSEnsVdKlGwa0i3VCfwoQojqCatQVEU/DYqtLC+I35Jg6ntT9qluMhJCObocYop/wCqrfGu8bxuUcwI6iimyRO1JzH2HBX03M+En4Ur2+2jTu7RcZbHhpULBckcqcdThUcdTn8wqOGuOfhdb5ubc9SuY82TZLhnP5CuTXMfWgknvXk8dY+Julq9EMbXFdd7bx6cK7BIc3SIyf8AaS4n9EesGoeObhRciLXB3UekSVjPKLHcRj3ZUwBXI/J9a95letTjE5gm+AaryPcU+2kreS36qGtEx7HBCuZYt0oqezgHmAb5vXyqa0cbPDN4xcVuQrGen+U0/r/aa5X8x7ZoyT3PaoxXyA3SmJq622/jw4XI+A7uYtJHkLLcP1FOm3fCCcIyEH4xuypsj/2Dcj+iPXGnJ9aMk+dSDFJgozSsK7VMfCI8HrZ9reFWP6n7p/g1bbXwjfBylR5t3lYwMf5n7p3/ALGriVk+tGTQcTmPYjxVi7g2r4SDgyiWtLDm8nK77alJ+966nClLKj1+Le+taR8I7wbrc5k7vqI/qfun+DVxH5j60ZPrTG4jK03ACU0rCu2qfhG+DjPXd9X/AFfun+DV6r4Rvg3I/wDG8T/0fun+DVxJop/lSZJ4qxdrz8IvweHON3lfwBdP8Gr6b+Ea4P0HJ3fI/wCYLof/APNXE7PzfVRR5Ul7EeKsXbcfCScICBgbuKV/zBdP8GrxXwkfB+pPXdxXzfcC6f4NXEnJozSeUpewI8VYuqW+XHJw6ay0tIj6a3KVKnRFibBa+489BVIQsKQMrYCR2x1IHWn9tvx/8JFmtkRF+3ZMaQlCVPJ+4VyWecjKhlMcjoenp6Vxvyc5ozSnFJilFMwLuWr4SfgpBJG76lHyP3u3T/Bq13/hJ+DNzo3vCoZ6Z+966dPf/nauHnegEjtUYr5AjxZi7htfCO8FzDauXeZSlny+9269f/lq0dzuP/ge3T2U1Rtndt5ghy9WqTAaK9OXYgOFJ8JWRG6YUEn6K4lZNAUR2NRvq3yWJ5G6c2BrbjtVhNE672wsqOe5aiShwDyiPn9CKkFrfzaVkcqNU4B/9Sk/q6p2VE//AMrzJ931Vqy5iqpeQ9ioNwenab7q6LHETtM38vVfT/iMk/3usq+IvaJYx99p/sCT+rqlOTRk+tVzjNQTfb2KXybDa26uejiH2nbXkat6E/7Bk/q62P8AJG7R/wC60/2DJ/V1SjJ9aMkedBxmoPIexAw2EdqueviG2lKwpGrfrgyf1deucQ20riAFatwf+Iyf1dUvyaMn1pfLVR2D2JDhkJ7Vcc8Qe1XIUnVJ9f8AOUj9XWZviB2dKfwmo20qwOot8gZ+puqZZNGTSnHKg8gkGFwA3F1cf/JAbTjI++nIz0/nKR+rrIniB2k8MoOqh19YMn9XVNCSe9GT60vl2p7vYjyXB3q4f7Pu1H+6Yn/4KR+rr6a4gdqm1H/NMcH/ANSkdP7XVOqM0px6oPIez+aQYVAO1XJc3/2lcHTVeP8A4GT+rrRe322vJ/B6o5h/xKR+rqomTRk0rcfqm8h7EhwmnParanfTbLv98p/sOR9isDm+O2Z7akJ/+Df+xVUcn1oqQZjqhyHs/mmHBaY9vtVqHN6ttHEFP3xd/WG/9imvftdbX3VB5b8nm8j8Ue+xVf8AJoyaeMzVlrEN9n80nkSm4gn2qQrjfNNeKoRLqHWz2wysfpTWCNqu3wnQ5HnKHL6IV1/NTEyaASKrHHajVqAAPo/mpvJcFtJuVOFr3Ysgg+DOuJSvoOjaz2+iioQ5j60VbGaa0DgPZ/NVjgFKTfdeUUUVzS20UUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhFFFFCEUUUUIRRRRQhf/2Q==" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-4/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://old.trimagency.com/a16z-generative-ai-5/</link>
		<comments>http://old.trimagency.com/a16z-generative-ai-5/#comments</comments>
		<pubDate>Tue, 28 Jul 2026 17:09:40 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=8308</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-5/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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5vmisKcqsnbSF9ZdfJHXTpRSWbX+Fbe5d1HbRWXLkQfPdtacY4OnGPKtH7kj4Y+17aSvhYf1o/dkfJYWhmd3svrJWa1wVD6T9jtISJICLFSwAAAAAEACSqiwsAELCwACxDinuSAIKslsbIiq1JWRw1JXZrXmc5KqUbU4lIRN4oRFoq5psErGdWpZFFK9WyPPnK7uWqTzMoEQWRBKAsiGSQQVZBLIAlH0vZvB1KlGTjOMYKbTvdu9kfNH0nZ7iMaNCUW96jf+1fkZy9OvD9PdjgYxXim5deSNoKEVpFI8qpxqHqZT4zD9r2Of/kevc/a92M77GdR82eNS4snsbxxifMbpNV3QmS6ljCFZESncmxt35pCrc8+TJpTsO4ddXBUqjzTpQlJ85RTZnLhdC3/op/6EWp1zodVGpkz2x85xLgsdZU4pP9lLT2PP4Zw3v8RCi1ZN3l5RW/8AfmfU4mqmYU8ZTw8pVWlmcWr21t/3Y3jk458f6nimGw6mqdOhTSju1BasvgeD0X4pUoNdMqPOp8QhnhKreKndpy5q+r021PqMLKMoxcGnFrRp3TOkl35cvDGPCcN/8al/+cTelwrDxcZLD0lJNNNQimmtmjqjG3IsjaLBshsznICL3Z0042MKMDok7Ig58XWyxZ5PC6LnKdbnOVk+kVyN+I3qNUo7zerXKK3f4e534ekoRUI8kT3VWsomcnfY2VHqW8KNI+Z7Y4dvC01/Oj92R83CCikkfXdrJp4eCX71fdkfJmKlAARAsipZAASQUACQAAAAgAACAFyblQRUFK07Fm7HJWqX0FGcpXZEVcg2pRIq8InRCNiIRsJzsVEVJ2POrVMz8i2IrX0RiAZAAQLIqiwAAEEMqWZAA6KFRpW8znN6O3uVZdelpTb5lCZSsRnRUt2JtHRQxc4O6Zz6BEs2stnp7FHiSej0Z1xxVz5xsvCtKOzZzvH/AB2nNf19B3reiNo1Elq7JbnhQ4hJbq/1FKmNlJrklyMf510/1x0+jhVXLY0VRs4MHUzxT/teR6UIoxrTrLtlKFzysZSlKvShpq7q/NrW3vt7nuNaHnY7JdZ92mk+cW9pexrDxkxy/LzeI3nh8NU6Z4S8pXv+Z09l+KOjWVKT/VVHbXaM3s/wOXDVUlUw9Z2jJvxb5Z8pHnapuz1WzXXqez28Hp+r3KZjLDV1UhGV9bK/qapkdDMCC9ON3qFbUolMROyNdkeZxSq1BpPxPwx9XoWonhlqjqVeWZwi/Jb/AF3PS2OfBUlTpQhHZKxumBDuV7u+7LspKoB4naqmlh4W/ex+7I+UPqO1E70IL+YvuyPlzNQAKuaMixKM+9Q71AbEGaqolTXUC5JW5NygSRcXCAFwiAQSAFhYXBVclaocrZacrsqlcwLU43OunEzpQNm7GhMpWOHE1+SLYityOVAEgSyCIgEgAAABJBIEMglkADalt7mJrS2sUWkUaRfyZDiUUykaotYiwQzE3KiwFri5W5NwPS4RiLScX6o+iozVrnx9KeV3R0TxU2rZnY55Ybu3bDl7Zp7uN4pGKyw8UuvJHjVKrk25O7MYs6aOGlLk7F1MWbcs6ynFz0tqtn+DGGwUsybTtf5ns4fCKKV9zrjA53l/jtjwz9XwdWdPX6j3aVRSipLZnho9Xh6tSj55n9Z04st+Dlx15dkTeETGDRsmdnAqOyPFqy7zEwprXL4n+B6eMrKMW76W1PI7OT7yVas1vLfouSJVe/CKSRMp2K950RN3+yVGbqPoUc090auT6FHVXOIHh9qUlQg7/wCIvuyPk5VHyPq+1lv0aFv3sfuyPkTGXsADKpO+iMiJ1raIxlJvdlspGUIhTa2ZbvJdSMpaMAJVWS5s0jiZc7Mp3ZGUDpjilzVjWNWL5o4coylHo6DQ89X2u0XhKd92B2teZVpmazhyn5AX1I8Rnnn0QUp9EBw3N6MDKnG51x0RBfY569awrVbI45O7KG5JAIgAAABAEggkASQCiSrJIIBePUobUtvcolSuSVlAJlE2K2LkAUFizICIsGiQBSxrQ1ko9XZMoAPpuHcLhFKVRXn05I7pQXI4+GYhzpwlLmvnZ2PQSuefLf69uGteGcYamuVCxJhsjSu1Fbt2R61kvCtopJexy4SnlXePd6RX2s6Ez0cU1NvPy5bumqkXUtDEtyOzk8rtNVnHDvKm8zUbpXsm9T0uF0FToQgtElr5vmbPdR8lcsnyQ0N0w2cnfzbsoNeb2LucuvyWgG5WSM1Wa3XutSyqJgeD2sjbDw/qx+7I+TbsfV9rp2w8F/NX3ZHx7dznl7CUrlbFrFlAyM8pKgbKBaxdDFUzSMC1iwRXKRlRcWKK5URkRqok2Az7tFoU7F0SAsRlJJKIsSCGyDhpxshUqWIBByTlcgAIAAAAAIABQJAIAAABkAAa0tiAUahogFEZRYAAQAEQCAAIYAH1mGoZaVKHONOP+pnTSloAYzj0cV/G6RvRoXd3pFbvr5AHPGbrrldR1N3/AAXRBAHd5lky1PV67bv0AKIpzzScjRMAqNFLR36hJAFDvobZhJu142fkAB872sd8PD+qtP8A6yPl4wAOd9i6iWIBECUiAUXSJsQAJJQAFgAAJIBUSCAAKtgEH//Z" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-5/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://old.trimagency.com/a16z-generative-ai-6/</link>
		<comments>http://old.trimagency.com/a16z-generative-ai-6/#comments</comments>
		<pubDate>Tue, 28 Jul 2026 17:09:40 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=8358</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-6/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-6/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Ai Bots For Crypto Trading: The Whole 2026 Information To Automated Income Without The Guesswork</title>
		<link>http://old.trimagency.com/ai-bots-for-crypto-trading-the-whole-2026/</link>
		<comments>http://old.trimagency.com/ai-bots-for-crypto-trading-the-whole-2026/#comments</comments>
		<pubDate>Tue, 07 Jul 2026 00:13:48 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=6970</guid>
		<description><![CDATA[<p>In the world of cryptocurrency trading, buying and selling bots have turn into more and more in style lately as more and more people search to automate their buying and selling methods. By using a trading bot, merchants can take benefit of market opportunities 24/7, with out the need for constant monitoring or manual intervention. [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/ai-bots-for-crypto-trading-the-whole-2026/">Ai Bots For Crypto Trading: The Whole 2026 Information To Automated Income Without The Guesswork</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>In the world of cryptocurrency trading, buying and selling bots have turn into more and more in style lately as more and more people search to automate their buying and selling methods. By using a trading bot, merchants can take benefit of market opportunities 24/7, with out the need for constant monitoring or manual intervention. One of the key options of CryptoHopper&#8217;s buying and selling bots is that they permit customers to set the parameters for their trades and execute them accordingly. Users can select belongings and values for the trades, in addition to use several advanced evaluation tools that work at the aspect of the buying and selling bot. This function is particularly helpful when the market value fluctuates past the worth range of the buying and selling strategy.</p>
<p>Additionally, the platform offers customers with knowledgeable buying and selling terminal, which allows opening various orders on the crypto exchanges you’ve linked to your account. You can discover more information about each bot on the Growlonix website. Simply note that these two bots I’ve simply talked about use hedging strategies, which means they supply four occasions lower danger compared to traditional grid bots.</p>
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" width="309px" alt="crypto trading bot"/></p>
<p>Paid plans begin at roughly $15 per 30 days, with larger tiers offering additional bots, change connections, and automation options. KuCoin runs particular Buying And Selling Bot promotion that rewards essentially the most successful merchants based mostly on their Annual Share Rate (APR). To begin utilizing bots on KuCoin, you only have to register a brand new KuCoin account, select a buying and selling strategy, and begin investing funds. It is price noting that the holders of KCS, KuCoin&#8217;s native digital asset, profit from discounted buying and selling charges and other promotions. Whereas ArbitrageScanner excels at what it does – which is actually monitoring markets and whale exercise – it can not execute buying and selling orders in your behalf.</p>
<p>However, you will need to check the laws and rules of your nation or region to ensure that utilizing a crypto buying and selling bot just isn&#8217;t prohibited. These bots use natural language processing and machine studying algorithms to analyze information articles and social media posts related to particular cryptocurrencies. They can be used to predict value actions and execute trades primarily based on this analysis.</p>
<h2>Why Automated Crypto Buying And Selling Bots Are Important In 2025</h2>
<p>They can function 24/7, copy other merchants&#8217; strategies and generally execute trades a lot faster than an individual might. You will pay utilizing major credit cards, PayPal, or cryptocurrency—including stablecoins like USDT (Tether), Bitcoin, Ethereum, and different extensively traded coins on in style exchanges. CryptoHero actually stands out among the rest of the software which I had evaluated. Its simplicity of use was very welcoming compared to its opponents. Although the initial half was a tad overwhelming (like all new software), I was capable of acclimate to the user interface fairly shortly.</p>
<h3>Commerce Like A Pro Without Being One</h3>
<p>To provide extra detail on these selections, we have divided them into multiple categories beneath. WunderTrading focuses on social trading, copy-trading, and automatic scripts, letting you set up techniques or follow methods created by others. The platform makes it simple to attach through API to prime exchanges and run indicators around the clock.</p>
<p>An AI trading bot works by automating buying and selling choices based on predefined algorithms and real-time market data. First, humans set parameters, such as threat tolerance and investment methods. Second, the bot collects and processes vast quantities of knowledge, including historic worth charts, information articles, and financial indicators.</p>
<p>It makes use of real-time knowledge from the Binance paper trading interface, which supports the entire trade pairs that are provided on the exchange. The post-election spike in Bitcoin prices, combined with increased market volatility and higher machine studying instruments, has introduced automated buying and selling again into the spotlight. This guide explores the top bots, how they work, and the way to determine on one primarily based on your goals and danger tolerance. I also love their buying and selling view integration that is <a href="https://belvoraine.com">belvoraine.com</a> by far, one of the best designed piece of characteristic among all different crypto buying and selling bots. RevenueBot — is a cloud-based service for automated cryptocurrency buying and selling, operating since 2018. It caters to traders of all experience levels, offering numerous trading strategies and algorithms.</p>
<h2>Security</h2>
<p>The Bybit grid trading bot permits customers to arrange a grid of purchase and sell orders around a certain value stage, and the bot will mechanically execute these orders as the market moves. They help traders save time, take away feelings from trading, and execute strategies across global exchanges. Options like Cryptohopper, 3Commas, Pionex, and Coinrule cater to completely different ability ranges, from full beginners to professional algorithmic merchants. Hummingbot is an open-source answer designed for builders and advanced users.</p>
<p>One of the standout features of 3Commas is its Sensible Commerce platform, which presents a range of customizable choices for guide trading. With Smart Trade, merchants can set up a number of sell targets, use concurrent take-profit and stop-loss orders, and take advantage of TradingView charts and indicators. Well, that depends on your particular wants, but their grid trading bot is probably the preferred one. It executes trades based mostly on a predetermined price vary, which helps traders to purchase low and sell excessive mechanically, without the necessity for fixed monitoring of the market. Bybit’s buying and selling bots are automated pc programs that permit customers to investigate and determine one of the best time to make worthwhile trades by defining entry and exit factors by way of technical evaluation.</p>
<p>You connect an account, select a bot, and run it immediately on the venue with out separate internet hosting. 3Commas is an automation platform that brings a unified SmartTrade workspace together with DCA bots, grid bots, and TradingView alert routing. It connects to main venues via API keys and helps you intend entries, exits, and danger with one consistent interface. Pionex is the lowest-friction entry point for novices, with built-in bots and no subscription fees. An AI buying and selling bot just isn&#8217;t a magic wand, but a tool that requires understanding and sensible usage.</p>
<p>If the bots collaborate with an trade or an analysis platform, make sure the companion is dependable, offering entry to high-quality market data and secure APIs. Some programs may be programmed to prioritize trades with a favorable risk-reward ratio, where the potential profit outweighs the potential loss. They diversify portfolios across completely different asset lessons and geographies, decreasing publicity to particular dangers.</p>
<p>Though a buying and selling bot may help you avoid FOMO feelings, managing risk remains to be essential in crypto buying and selling, including when using  a trading bot. You must perceive the risks involved and regulate your parameters, if essential, as an alternative of relying solely on the trading bot for worthwhile outcomes. This may help you mitigate potential losses and protect your capital. BTC Robotic is an automatic Bitcoin buying and selling bot that is programmed to establish cryptocurrency market alternatives for customers who&#8217;re interested in beginning a commerce.</p>
<p>3Commas is extra powerful for lively merchants who want deep DCA customization and multi-exchange administration from a single terminal. If you are simply starting out and wish to be up and running rapidly, Cryptohopper has the lower friction. If you wish to refine subtle strategies across a number of exchanges over time, 3Commas rewards the funding in studying its instruments. Neither platform matches SaintQuant&#8217;s depth of AI-driven quantitative strategy.</p>
<p>Performance can differ significantly throughout completely different time periods and asset courses. It&#8217;s essential to remember that no bot can assure constant earnings, as markets are inherently unpredictable. Bots linked to buying and selling accounts by way of APIs can be vulnerable to hacking or unauthorized entry. Storing sensitive monetary data with third-party platforms increases the chance of data leaks, so it’s essential to contemplate safety measures when choosing an AI trading resolution. At this point, you’ve obtained the reply to “How do AI trading bots work? ” and you might need noticed that they help automate and speed up many processes.</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/ai-bots-for-crypto-trading-the-whole-2026/">Ai Bots For Crypto Trading: The Whole 2026 Information To Automated Income Without The Guesswork</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
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		<title>what does nlu mean 1</title>
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		<pubDate>Mon, 29 Jun 2026 14:11:01 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
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		<description><![CDATA[<p>Using Watson NLU to help address bias in AI sentiment analysis What is Natural Language Understanding NLU? The model’s training leverages web-scraped data, contributing to its exceptional performance across various NLP tasks. Rules-based approaches often imitate how humans parse sentences down to their fundamental parts. A sentence is first tokenized down to its unique words [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/what-does-nlu-mean-1/">what does nlu mean 1</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
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				<content:encoded><![CDATA[<p>Using Watson NLU to help address bias in AI sentiment analysis<br />
<h1>What is Natural Language Understanding NLU?</h1>
</p>
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width="304px" alt="what does nlu mean"/></p>
<p>
<p>The model’s training leverages web-scraped data, contributing to its exceptional performance across various NLP tasks. Rules-based approaches often imitate how humans parse sentences down to their fundamental parts. A sentence is first tokenized down to its unique words and symbols (such as a period indicating the end of a sentence). Preprocessing, such as stemming, then reduces a word to its stem or base form (removing suffixes like -ing or -ly). The resulting tokens are parsed to understand the structure of the sentence.</p>
</p>
<p>
<p>Entry-level LLB programs are available in both 3-year and 5-year formats. This website is using a security service to protect itself from online attacks. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. Seats in CLAT 2024 are allotted based on candidates&#8217; merit ranks obtained in the CLAT entrance exam.</p>
</p>
<p>
<h2>What Is Natural Language Processing (NLP)? Meaning, Techniques, and Models</h2>
</p>
<p>
<p>When we ask questions of these virtual assistants, NLP is what enables them to not only understand the user’s request, but to also respond in natural language. NLP applies both to written text and speech, and can be applied to all human languages. Other examples of tools powered by NLP include web search, email spam filtering, automatic translation of text or speech, document summarization, sentiment analysis, and grammar/spell checking. For example, some email programs can automatically suggest an appropriate reply to a message based on its content—these programs use NLP to read, analyze, and respond to your message. Machine translation has come a long way from the simple demonstration of the Georgetown experiment. This vector is then fed into an RNN that maintains knowledge of the current and past words (to exploit the relationships among words in sentences).</p>
</p>
<p>
<ul>
<li>In this world of instant everything, people have become less patient with dialing up companies to answer various questions.</li>
<li>ANNs utilize a layered algorithmic architecture, allowing insights to be derived from how data are filtered through each layer and how those layers interact.</li>
<li>RNNs are a type of ANN that relies on temporal or sequential data to generate insights.</li>
</ul>
<p>
<p>The initial setup was a little confusing, as different resources need to be created to make a bot. Kore.ai lets users break the dialog development into multiple smaller tasks that can be worked on individually and integrated together. It also supports the ability to create forms and visualizations to be utilized within interactions. Knowledge graphs are supported for integrating question and answer functionality.</p>
</p>
<p>
<h2>New training paradigm prevents machine learning models from learning spurious correlations</h2>
</p>
<p>
<p>In addition, organizations can use VUIs to enhance their products and services and engage with customers more effectively. The transient nature of  auditory interfaces therefore necessitates that the VUI clearly state possible interaction options and provide only essential information without overloading or confusing users. In addition, users must be coached in what voice commands the VUI will understand and the type of interactions they can perform. To secure a spot in the top 3 NLUs, it’s crucial to aim for a score above 80.</p>
</p>
<p>
<p>Good Rank in CLAT refers to securing a position that ensures admission to top National Law Universities (NLUs) or desired law programs. Read on to learn about what factors constitute a good rank in the CLAT exam and how they relate to your CLAT score in 2025. Before embarking on the NLU journey, distinguishing between Natural Language Processing (NLP) and NLU is essential. While NLP is an overarching field encompassing a myriad of language-related tasks, NLU is laser-focused on understanding the semantic meaning of human language.</p>
</p>
<p>
<h2>NALSAR (NLU Hyderabad) Fees And Eligibility For Various Courses</h2>
</p>
<p>
<p>Each API would respond with its best matching intent (or nothing if it had no reasonable matches). All default confidence thresholds were removed to level the  playing field. To evaluate, we used Precision, Recall, and F1 to qualify each service&#8217;s performance. VUIs can help streamline operations, simplify routine tasks, facilitate collaboration and provide more effective employee training and education. They can also make it easier for workers to access the information they need when they need it and then share it with others.</p>
</p>
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" width="304px" alt="what does nlu mean"/></p>
<p>
<p>A voice user interface (VUI) is a type of interface that relies on speech recognition technology to enable users to interact with an application or device through voice commands. The application might run locally on the device or be hosted on a web server or cloud computing platform. The CLAT exam cutoffs change each year based on factors mentioned earlier.</p>
</p>
<p>
<h2>A three airport offer</h2>
</p>
<p>
<p>NLP attempts to analyze and understand the text of a given document, and NLU makes it possible to carry out a dialogue with a computer using natural language. Human language is typically difficult for computers to grasp, as it&#8217;s filled with complex, subtle and ever-changing meanings. Natural language understanding systems let organizations create products or tools that can both understand words and interpret their meaning. Your CLAT 2024 scorecard will show your total marks, overall rank in CLAT 2024, category rank, and other details.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="309px" alt="what does nlu mean"/></p>
<p>
<p>For instance, other than NLSIU Bengaluru, none of the remaining NLUs offers a 3-year course, but all of them offer 5-year integrated courses. That being said there are still a handful of top-ranked law colleges that offer the 3-year course. LLB Full Form –The full form of LLB is Legum Baccalaureus popularly known as Bachelor of Law. LLB is a three-year&nbsp;law degree course&nbsp;pursued after completion of graduation. LLB course is offered by many prominent&nbsp;law colleges&nbsp;as per the guidelines prescribed by the&nbsp;Bar Council of India&nbsp;(BCI). The BCI is the apex law body that regulates legal education and the legal profession in India.</p>
</p>
<p>
<h2>Caption generation</h2>
</p>
<p>
<p>So far, zero international airlines have shown interest in operating cabotage flights from Mexico’s newest international airport. In the early 2010s, Solomon and Tron Schuster lived across the hall from each other at Miami University in Oxford, Ohio. What began as a friendship evolved beyond graduation into a text chain including Neil Schuster, who played football at Columbia before moving to San Francisco to pursue a variety of tech jobs. In time, “No Laying Up” entered the world as a Twitter feed created by Solomon in 2013. In the real world, humans tap into their rich sensory experience to fill the gaps in language utterances (for example, when someone tells you, “Look over there?” they assume that you can see where their finger is pointing). Humans further develop models of each other’s thinking and use those models to make assumptions and omit details in language.</p>
</p>
<p>
<h3>What Is Natural Language Processing (NLP)? &#8211; Oracle</h3>
<p>What Is Natural Language Processing (NLP)?.</p>
<p>Posted: Thu, 25 Mar 2021 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiiwFBVV95cUxNbWhvR0JVbUF1LWQ4dy1CRkZEcS1OakIyc3BDakMyamN1RDdQenhZLVB4bUpCU2R0UHNiRzhudXRLQW1OaFFBU3BtbWZOMTlFNlZERmMyOV9kcFJqR3ZQV2J3NVVUV3dqS2wyNGM4djVySGNDeUh1SEJtRExBYWpZbUZ5YjNfRFRDeUIw?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>To help us learn about each product’s web interface and ensure each service was tested consistently, we used the web interfaces to input the utterances and the APIs to run the tests. Once the corpus of utterances was created, we randomly selected our training and test sets to remove any training bias that might occur if a human made these selections. The five platforms were then trained using the same set of training utterances to ensure a consistent and fair test. NRI candidates often need to provide relevant documents, such as passport and visa details, to prove their NRI status. Additionally, they might be required to fulfill specific academic criteria set by the respective NLUs.</p>
</p>
<p>
<h2>Important Factors Affecting NLUs Cut off 2024</h2>
</p>
<p>
<p>The Common Law Admission Test (CLAT) is a tough entrance exam for getting into top law colleges in India like the National Law Universities (NLUs). In this detailed talk, we’ll look into what affects CLAT ranks, why different NLUs have different rank expectations, and how to aim for a good CLAT rank. As with any technology, the rise of NLU brings about ethical considerations, primarily concerning data privacy and security. Businesses leveraging NLU algorithms for data analysis must ensure customer information is anonymized and encrypted. In the panorama of Artificial Intelligence (AI), Natural Language Understanding (NLU) stands as a citadel of computational wizardry.</p>
</p>
<p>
<ul>
<li>To date, the approach has supported the development of a patient-facing chatbot, helped detect bias in opioid misuse classifiers, and flagged contributing factors to patient safety events.</li>
<li>Once inaugurated, Viva Aerobus will have 108 weekly flights from Mexico City to Cancún and 103 weekly flights to Monterrey.</li>
<li>They could also field customer questions through recorded messages, after extracting information from databases.</li>
<li>Vancouver Island is the named entity, and Aug. 18 is the numeric entity.</li>
<li>To secure a spot in the top 3 NLUs, it’s crucial to aim for a score above 80.</li>
</ul>
<p>
<p>The voracious data and compute requirements of Deep Neural Networks would seem to severely limit their usefulness. However, transfer learning enables a trained deep neural network to be further trained to achieve a new task with much less training data and compute effort. Perhaps surprisingly, the fine-tuning datasets can be extremely small, maybe containing only hundreds or even tens of training examples, and fine-tuning training only requires minutes on a single CPU. Transfer learning makes it easy to deploy deep learning models throughout the enterprise. Many voice-based interfaces have now moved into what is generally considered the third generation of VUIs. These systems incorporate automatic speech recognition, as well machine learning, natural language processing and other advanced AI technologies.</p>
</p>
<p>
<p>The early roots of “No Laying Up” are as a sort of golf media saboteur, hurling Takes from outside the club. The first episode of the podcast, recorded in April 2014, is all gas, no chaser, complete with potato chips crunching in the background. It was easy then because they didn’t know Kuchar, nor was there any chance they would ever know Kuchar. Unlike most other golf podcasts that have grown in popularity over the years, NLU had no media outlet mechanism to bring it to the mainstream, nor were any of the hosts a member of the media.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="what does nlu mean"/></p>
<p>
<p>NRI candidates must take the CLAT exam, while foreign nationals are usually eligible for direct admission to most NLUs. However, foreign nationals seeking admission need to apply separately during the counseling process, using a distinct application form designed for NRI, NRI-S (NRI sponsored), and FN categories. Admission for foreign nationals is primarily based on their academic performance.</p>
</p>
<p>
<p>Viva Aerobus has claimed that it has been unable to launch up to seven new routes to the United States due to the loss of category, including a new Mexico City-Austin service. Aeromexico’s newest route will be an enormous boost for the Felipe Ángeles International Airport. This airport, inaugurated in March 2022, only has four international routes at the moment, operated by four carriers. Arajet flies to Santo Domingo, Conviasa to Caracas, Copa Airlines to Panama City, and Viva Aerobus to Havana. NALSAR&nbsp;University has consistently been ranked among the top law schools in India. It has been ranked as one of the best law universities in the country by various ranking agencies and surveys, including the National Institutional Ranking Framework (NIRF) conducted by the Government of India.</p></p>
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		<title>best name for dog 78</title>
		<link>http://old.trimagency.com/best-name-for-dog-78/</link>
		<comments>http://old.trimagency.com/best-name-for-dog-78/#comments</comments>
		<pubDate>Thu, 25 Jun 2026 23:35:48 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

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		<description><![CDATA[<p>Inside the 2026 &#8220;The Cat in the Hat&#8221;: New Universe, New Cast, and a Teaser Dropping Tomorrow The Cat in the Hat release has been pushed back Beyond the top rankings, several key trends reveal why certain dog names become popular and what motivates owners’ choices. After years of dominance, Max has officially been dethroned [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/best-name-for-dog-78/">best name for dog 78</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
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				<content:encoded><![CDATA[<p>Inside the 2026 &#8220;The Cat in the Hat&#8221;: New Universe, New Cast, and a Teaser Dropping Tomorrow<br />
<h1>The Cat in the Hat release has been pushed back</h1>
<p>Beyond the top rankings, several key trends reveal why certain dog names become popular and what motivates owners’ choices. After years of dominance, Max has officially been dethroned from the #1 position. AKC data, based on registration statistics and Canine Partners enrollments, reveals Milo made an impressive jump from fifth place in 2023 to claim the top spot for 2025, pushing Max to #2. However, according analysis of millions of user-submitted names reports that Charlie held onto the #1 position for the second consecutive year, having overtaken Max in 2024. This could be a cute dog name that’s short for the more formal “Bigsby,” or maybe you’re just a fan of the actor Jason Biggs. The main character in “The Little Mermaid.” This Disney dog name is perfect for a dog who’s equally happy on land and in water.</p>
<p>Unique names can set your dog apart, but ensure they are still easy to pronounce and don&#8217;t resemble common commands. It has become a popular given name that conveys a sense of craftsmanship and diligence, traits that can be seen in a dog&#8217;s determined and hardworking nature. As we all know, Buddy is an English nickname meaning friend or companion. Naming your dog Max acknowledges their prominent place in your life and the immense joy they provide. Naming your dog Bailey is a nod to their dependable nature and the steadfast bond you share.</p>
<p>Getting a release date could be seen as great, but Dr. Seuss fans will have a very long wait. Warner Bros. seems to be framing the date shift as a tactical decision, which it may very well be. However, considering The Cat in the Hat has been delayed multiple times, it does make me wonder if there is another reason. This isn&#8217;t the first time a studio has claimed a delay was about strategy, only to unveil different problems.</p>
<p>Charming pups who have adventurous personalities can be suitable recipients of this name. Beatrix is a unique dog name that has a happy meaning behind it. It means “she who brings happiness,” so it’s perfect for female dogs that are just always jolly and full of life. One of the best things about naming your dog is matching their name to their unique personality. Is your pup a total goofball, a little foodie, or more of a calm, cuddle buddy who naps through yoga? These themed name lists are perfect for pups who stand out in all the best ways.</p>
<h2>Original Release</h2>
<p>For basketball fans, Charles Barkley would be the most appropriate name for their dogs. Dogs with this name often have a knack for shooting snacks through their mouths. Remember, the best name for your dog must resonate with you and suit your dog&#8217;s personality, ensuring a harmonious relationship for years to come.</p>
<p>The name fits perfectly well for dogs who chew on your favorite socks. For those dogs who are naturally happy and having the time of their lives, a funny name would most often suit them. These dogs are always the center of attention, right smack in the middle of families and friends. Vesper is another unique name for dogs that are more serious and have an intriguing nature. It’s a name that means “evening” in Latin, so it could also fit puppies that are active at night. Spruce is an elegant and unique name that is inspired by the spruce tree.</p>
<h3>For the furparent who totally reads their pup’s birth chart</h3>
<p>It evokes images of lush greenery and new growth, symbolizing dogs&#8217; vitality and exuberance in our lives. Over time, it has also come to represent a free-spirited and strong individual. Lola is a biblical name that represents understanding the sorrows in life are needed to experience the joys. With Spanish origins, this name is a shortened version of the Spanish name Dolores, which means sorrow.</p>
<p>{<br />
<h2>Most Popular Dog Names in West Virginia</h2>
<p>|}
<p>Kiara is a young lioness in the second installment of the Disney movie The Lion King. It’s also a perfect name for proud and strong female dogs who won’t back out of any challenge that comes their way. Female canines are usually easier to train and can be more protective of their owners. Naming a dog can be easy for some people, while others might have difficulty choosing the perfect name for their pet. To help you choose, we have listed 200 of the best dog names with their significant meanings.</p>
<p>Still, the majority agree it’s a huge step up from the 2003 live-action version. Even though the Cat in the Hat is a pre-established character with many iterations, it&#8217;s the first time this story has been animated in this unique style. There are so many routes this film could go, but it seems like it will be sticking to its primary roots in celebrating unabashed fun and fantasy. An animated version of Dr. Seuss’ The Grinch became a hit back in 2018 and made over half a billion dollars worldwide. Warner Bros. is probably hoping for similar success for The Cat in the Hat which will be released in early November of 2026. November 2018 saw The Grinch succeed so it just may be a better time for the new Bill Hader voice-driven comedy to thrive.</p>
<p>It’s an honest name that speaks of their character, and not their odor. Tofu is a funny name for mellow dogs who just go with the flow. Cheese is a name for dogs who love to smile, especially when they get in front of a camera. These dogs are surprisingly adorable and photogenic, perfect for memories in a photo album. This name is perfect for adventurous dogs who are always sniffing, digging, and exploring. No backyard is safe from his adventures, which means a good fence should always be useful.</p>
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		<title>a16z generative ai</title>
		<link>http://old.trimagency.com/a16z-generative-ai-3/</link>
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		<pubDate>Tue, 23 Jun 2026 19:10:44 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

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		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-3/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-3/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Ai Bots For Crypto Buying And Selling: The Entire 2026 Guide To Automated Profits Without The Guesswork</title>
		<link>http://old.trimagency.com/ai-bots-for-crypto-buying-and-selling-the-entire/</link>
		<comments>http://old.trimagency.com/ai-bots-for-crypto-buying-and-selling-the-entire/#comments</comments>
		<pubDate>Mon, 22 Jun 2026 23:29:49 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=6953</guid>
		<description><![CDATA[<p>Quadency presents a free plan with primary features like one change integration and one stay spot buying and selling bot. Their paid plans start at $40 per month for the “Pro” tier, which includes all automated trading options. The “Premium” plan costs $80 monthly and presents limitless trade integrations and buying and selling bots. Shrimpy [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/ai-bots-for-crypto-buying-and-selling-the-entire/">Ai Bots For Crypto Buying And Selling: The Entire 2026 Guide To Automated Profits Without The Guesswork</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Quadency presents a free plan with primary features like one change integration and one stay spot buying and selling bot. Their paid plans start at $40 per month for the “Pro” tier, which includes all automated trading options. The “Premium” plan costs $80 monthly and presents limitless trade integrations and buying and selling bots. Shrimpy is both a portfolio management and buying and selling tool that lets customers trade and monitor portfolios throughout multiple exchanges from a single platform. Commerce automation or crypto bot buying and selling is also done on the platform via a quantity of indicators and strategies.</p>
<p>It provides retail crypto merchants entry to skilled quantitative buying and selling strategies on each centralized and decentralized exchanges, with no coding required. You pay solely for your precise buying and selling quantity, making it one of the cost-efficient automated trading platforms obtainable today. Cryptocurrency buying and selling bots have become increasingly popular among investors trying to automate their trading strategies within the fast-paced and volatile world of digital property. These bots use algorithms to investigate market developments and execute trades on behalf of the person, doubtlessly producing income without the necessity for fixed monitoring.</p>
<h2>The Future Of Crypto In 2026: Growth, Risks, And Tendencies</h2>
<p>The practical enchantment is that traders can transfer from an thought to bot settings, test habits, and refine technique logic with less guide configuration. 3Commas is best for customers who want a full buying and selling automation workspace somewhat than a single-purpose bot, particularly if they already perceive how DCA, grid, and signal execution differ. The bots function 24/7, placing new orders with out time limitations. Customers can customize bot settings to align with their buying and selling preferences and market conditions. TradeSanta additionally presents a cellular app for managing bots on the go. In Accordance to evaluations, their customer support is responsive and helpful.</p>
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" width="307px" alt="crypto trading bot"/></p>
<h3>Finest Crypto Trading Bots In 2025</h3>
<p>A crypto trading bot  is a software program software that connects instantly with cryptocurrency exchanges (such as Binance or Coinbase) via an API (Application Programming Interface). It moreover offers DCA bots, market tactics, and TradingView integration to assist traders in automating their strategies. It supports multiple platforms, together with these providing a lucrative crypto sign up bonus.</p>
<p>You will put together the venue, limit <a href="https://profition-ai.com">https://profition-ai.com</a> permissions, rehearse the flow, and only then commit actual funds. You verify every item earlier than takeoff and maintain a plan for what to do if something looks wrong. Cease losses can fail throughout gaps or on illiquid books as a outcome of there could also be no bids at your degree. Use conservative position sizes, outline a maximum loss per trade, and like cease orders that convert to market when triggered. For fundamentals, evaluate stop orders from a regulator and your venue’s order sorts. Novices who  need built-in automation with low overhead and a guided setup.</p>
<p>It is in style with skilled traders coming from inventory and forex trading who wish to maximize trading effectivity and profitability. Through the bot, you possibly can connect to exchanges, leverage platforms, and spot crypto exchanges utilizing API keys. However, there isn&#8217;t any excellent crypto buying and selling bot regardless of them costing as a lot as hundreds of thousands of dollars. They still make losses, though the intention is to limit the losses.</p>
<p>You can observe price variations between 75+CEX, 25 DEX, and forty blockchains and add another platform token to trace. The solely bot in the world that tracks the difference between DEX exchanges the place spreads attain 30-40% on massive cash. The bot may be programmed to buy, promote, or hold particular cryptocurrencies based on quite so much of elements, including price, quantity, and market trends. The subscription price ranges between $31 and $100 per 30 days, depending on the options chosen. These bots analyze price momentum and execute trades based on anticipated trends.</p>
<h3>Earn In&nbsp;2 Currencies &amp; Reinvest Profits Routinely</h3>
<p>The Dealer ($59.99/mo) plan will push the monthly buying and selling volume limits to $3M, and allow users to run a larger variety of reside and demo guidelines simultaneously. This tier additionally permits customers to benefit from Coinrule’s TradingView integration function. Relying on the tools offered and the record of options, the tariffs are divided into “Free”, “Pro – $37” and “Expert – $59,” per 30 days, respectively. 3Commas Buying And Selling bots give customers the chance to make income with minimal effort – selecting the desired performance based on their abilities, targets, and skills. Leverage Buying And Selling Bots let you trade in derivatives markets like perpetual futures contracts and options buying and selling. For instance, if you have $1,000, the bot can trade as when you had $10,000 by borrowing extra funds.</p>
<p>A user-friendly interface will permit you to arrange and customise your trading strategies with ease. VentureBurn is a media platform masking the latest in cryptocurrency, artificial intelligence, enterprise capital, and the startup ecosystem. Opinions expressed on VentureBurn are for informational purposes only and do not represent investment advice.</p>
<p>What’s extra, customers are capable of view the incomes of other 3Comma customers to see what’s working. Shrimpy is tailored for buyers who want a simple, set-it-and-forget-it approach to managing their crypto portfolios. It’s perfect in case your main aim is to take care of goal allocations over time, somewhat than actively trade.</p>
<p>It presents an entire market to the shoppers, right on the bot’s platform. Zenbot helps simple coding languages like Javascript, Python, HTML, CSS, etc. It also can run with main analytical instruments like Google Analytics and varied social media platforms like Skype and Fb Messenger.</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/ai-bots-for-crypto-buying-and-selling-the-entire/">Ai Bots For Crypto Buying And Selling: The Entire 2026 Guide To Automated Profits Without The Guesswork</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://old.trimagency.com/a16z-generative-ai-2/</link>
		<comments>http://old.trimagency.com/a16z-generative-ai-2/#comments</comments>
		<pubDate>Fri, 19 Jun 2026 16:56:42 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=3275</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-2/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-2/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Best Crypto Buying And Selling Bots In 2026</title>
		<link>http://old.trimagency.com/best-crypto-buying-and-selling-bots-in-2026/</link>
		<comments>http://old.trimagency.com/best-crypto-buying-and-selling-bots-in-2026/#comments</comments>
		<pubDate>Fri, 19 Jun 2026 03:47:32 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

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		<description><![CDATA[<p>They have gained much prominence due to their ease of use through the Telegram app; customers can easily snipe tokens listed on completely different DEX platforms without stress and close trades when the commerce is made. March 2025 was one of the most volatile months in recent crypto historical past, with major belongings experiencing sharp [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/best-crypto-buying-and-selling-bots-in-2026/">Best Crypto Buying And Selling Bots In 2026</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
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				<content:encoded><![CDATA[<p>They have gained much prominence due to their ease of use through the Telegram app; customers can easily snipe tokens listed on completely different DEX platforms without stress and close trades when the commerce is made. March 2025 was one of the most volatile months in recent crypto historical past, with major belongings experiencing sharp swings in each instructions. A $10,000 place managed via SaintQuant during this period demonstrated how the platform&#8217;s adaptive AI handles turbulence.</p>
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<p>As A Substitute of you deciding when to enter or exit a trade, the bot screens the market around the clock and executes those selections automatically. WunderTrading — is a service for automated buying and selling and social buying and selling, catering to each novices and experienced users. It supports TradingView trading alerts and provides a broad range of instruments for strategy creation.</p>
<h2>Want To Study More About Trading Cryptocurrency?</h2>
<p>Furthermore, because Bitsgap acts like a hub, you’ll enter your API keys for whichever exchanges you plan to make use of. This can be handy for people who already have accounts on a quantity of platforms and need a single dashboard to handle them. Also, there could be an AI good assistant feature that may create a well-balanced bot specifically in your portfolio. newlineSome are exchange-based with bots built into the venue, while others are open-source frameworks you run your self.</p>
<p>This bot is right for these new to crypto who want to perceive buying and selling dynamics whereas benefiting from AI-assisted automation. This stage ensures that trades are not only executed quickly but also align with the user’s risk appetite and strategy preferences. The growing buzz round synthetic intelligence has made a powerful impact on the crypto market in 2025. Both retail and institutional traders are exploring AI-based crypto projects, driving major price actions in tokens like Fetch.ai (FET) and SingularityNET (AGIX). You can pay utilizing main bank cards, PayPal, or cryptocurrency—including stablecoins like USDT (Tether), Bitcoin, Ethereum, and other broadly traded cash on well-liked exchanges. Keep ahead in automated buying and selling with CryptoHero updates, person guides, and strategy suggestions.</p>
<p>Some of the best crypto buying and selling bots in Coinrule’s secure help grid buying and selling, MACD/DMI, RSI Scalping, Stop loss, and Moving Common Scalping. A crypto trading bot is a computer program that uses artificial intelligence and superior algorithms to automate the buying and selling of cryptocurrencies. Acting as a digital assistant, these bots analyze huge amounts of market information, identify patterns, and execute trades within the crypto market accordingly. They can simplify the buying and selling process and provide a aggressive edge by leveraging real-time and historical market knowledge. Deciding On the proper crypto AI buying and selling bot begins with clearly defining your buying and selling goals.</p>
<p>Superior traders who require integration with a number of knowledge signals typically favor 3Commas or Cryptohopper. Builders who take pleasure in customization could choose Hummingbot or Gunbot for their flexibility. Bitsgap DCA, Purchase the Dip, Grid buying and selling, and preconfigured methods. For Grid trading, the bot locations buy and sell orders at preset intervals within a specified price range.</p>
<p>Hedge Grid bot, then again, opens lengthy positions above your entry point and quick positions below it and is a medium-risk bot. Recent knowledge indicates traders using AI help confirmed roughly 50% improvement in commerce accuracy compared to purely discretionary approaches. This benefit stems primarily from consistency somewhat than superior analysis.</p>
<p>Trading bots in crypto operate by leveraging algorithmic buying and selling methods. They repeatedly scan the cryptocurrency markets for buying and selling opportunities, executing trades when sure conditions are met. These situations are based on technical evaluation, market indicators, and, generally, machine learning algorithms. The bots automate the trading course of, ensuring velocity and efficiency, which is essential in the volatile crypto market. Coinrule is one of the best automated crypto buying and selling tool appropriate for both novice and skilled traders. It allows users to construct customized buying and selling strategies with out having any coding experience.</p>
<h3>How Much Does A Buying And Selling Bot Cost?</h3>
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j6tVW+mTziMU4E2138Y7znse1gvNQspWU3TsI5M47n7JKNiD3GGxXe4gybhIURvFEqhYo3JJNUeQCouEHmYmcP8AxhiGqSVGp5cVMz7yJdASAdVHUjute/qiqpLYsVC55RuPRMw41VeIztemCPJqBKqeSXLBBdXdAuTpcC59kc3HVVGA9OO57YwjT5bDtFkqLLEdXKMIQkWtsNT6zcxb5GZUGwn6Q3/RFEpuJMPIFnqzLDJYHtg2i2Ums0OpudVTKmzMlR06tYOgjjKxrSLEzPZAEnY6DwjnZtWuVWv2QxfacDYBIQq/PlFMxvxAfwhNt06Rp7bk0+yXszjmVIF7DTntDW7gl/VNqWnUFBG94rlVxTRpB0tTNWaCxukEaRkE5iLHmN5luXcqE08lw28nkwG2j/KVYEgX74uWGOCdPqN38ZupWCnsSrbhCR6VJNzAK20iXRjjC1WPksrXZUvJNshdA15CEpl5QCs6tFblJ0IhxWuBXD4yIl6VRm5ZxCipt1kkLTpvfeIORkpymy71DnXi4ZLZxZuVIPmj0wrj2pgR5a4qVqUpnEWsSyUJbbdDbyQFWsSLHTvO8VVOLpVJTbN43Pf+naFOkgymW4lrmhcCZlk3I3Nja3sAjMFTynMvaGmgB77nX2Q84q4jVmak3ieXADhJF+zlOvrhdOIJBV0uO6DYWt74ycVFwrv1hGnfpCvxu+nshy48bGE0IFyRVaCL2gM55iCKUbxnktj2qkgCbAwmTc3gq1qzW9cFFzqTHn8TmtGjUdNp3X8957vLeDMdj8PDE05x0yV1e9/sFL3ghPOD21gyW0X1F4yPOaKfJ+z3nTj0e5lL9eHi/cJXjieXfDkMNE+YPbCiZaX5t6+mJ8OUFzi/Z7y1dG2aT/aQ8X7hiCdoGH6ZRg69X74P5HLfk/6RgfD+H+S/Z7x/zXZtLlUh4y+6RgVc2gb+iJMSUsf3v+kYEyksD+L95/XEXEGH+S/Z7yPorzb5yHjL7pGFV9IAG0SRlJfX5oe0wUyrA2R7zBXEGH+S/Z7yuXRZm3zkPGX3Rjm8I7LDsy7PJA9sF6lpJvY+2G+HsP8AJfs95RLovzZc6kPGX3RsSBBTreHfUsndF/XBky7P5Me2D8P4fti/Z7xV0XZs+VSHi/ukfcd8cIkhJy/5P3n9cCJKWP737zA/KHDfJfs94V0UZw+VSn4y+6RROu8coX5xLeQyvNr3n9cB5BK3v1f9I/riflDhvkv2e8P5ps4+cp+MvukOoHvtHXHfEv5DKndv+kf1wPkEp+T/AKR/XB/KLDfJfs94PzS5w/2tPxl90hVG2t4Io32MThp8p+T/AKR/XACnSn1D/OMT8osN8l+z3g/NLnHztPxl90gSTaAt4xP/ABdJnTqgfSo/rjR+D/Ro4lcdX51HDjCRnmKdlE1NvTCWJdpZ81GdagCs75RcgWJsDFlPPqNWWinCTfoS95kxnRnmGXUniMXiKUILm5SaXjpMWvAEk8ovuNuGlb4dYmncH41w6/SqvT1hExLPKN03FwoKBKVJI1CkkgjYxBfFtPH/ABb+kf1xXLP6EXpcXf8An0l1LotzOvTVWlWpyi1dNNtNPtWxXs3hBCobxYviun/+r/0j+uA+Kqcf+L/0j+uF+H8O/wBV+z3ln5qc3+cp+MvulaK0ncQQlO9osyqRTTp5N/SP64IaPTrf73/pH9cL8O4d9j9nvJ+a3N1zqQ8X90rJI1hNRB5RaDR6bbWX/pH9cENGpn/q39I/rifDeH7n7PeI+jDNfnIeMvulfl8txEvLAWAtDlNLkEebLD+cf1ws3Ksg6N++NNLiDDQ5xfs95zq/RRnFZ+bUp+MvujiSSmLBIoBsbRANI6vzNIdNzc4g9mYUkcrJGnujdT4rwcecZez3nNqdCme1eVWn4y+6XqnIGlxFlkEApHKMpRW6y1bqqgsf4CD+iHCMXYma0RV1gD/qWz/3Y20+NMDH9SXgvec+p0EcQy/bUvGX3TYEoA1te+kLISLbRjn4bYtG1aX/AIlv/Vgpx3jBJ0rS/wDEN/6sXrjjAfIl4L3mV9A/EK51qXjL7ptraeUOUIIjCf3QsaJHZrqh/wDt2v8AVgo4kY4G1eV/8Oz/AKkWLjjAfIl4L3lE+griBftaXjL7pvyEm9wIchO0ef5biTjcPN5q8uxWkEBhrUE/yI2QVaa0HXe0D9Ud3KM5oZzGU6Ca07b2954Pi/gjH8G1KVPHTjJ1E2tLb5d90iwobvCwQBEDLVpxtd3TnB7gP1ROMuofbS62sKSoXvHY0s8W0LJSBBtISJA5wBcAgqILCyiS2sJI0A0vvDpEjJpeaaVMdjLdZO4MIyjLbsquaU52wrIlPh3w9S1IJfQrMVNhPaPjaJYSfoG3UywZcUCesCvmwTpaF0+RNPS6w0VISLO67xxEohpY6shwqu2ock95hZDsslxhTbKsjfnp8Ylu4R+kRaXLATOVi4Ufmydcg5Q4VMgpl0JYBLHaJUNFH0QRDzaEPoDAIdNwfqi8LmYWUS1mBds9m48+I0BgifmUzb7yZZN1pGYZPNAt7YAuTCZANlNmUuXJKdjB2n5tUw+4EWU4g50pT5qR+wjlCb8gCSPmAu4tzJhWkKxdZqK51lKlWfy2RyAHMn2GOZannDNWdCcurqQd1amC9VUFzjbWcJdygJKiLWtffv3gWpWbU1NPB3KlvMHQCbq19kDSiXFOofEnLOKeulwmyL+bv+iHYpxbnxLOzQuUZypJ1AHL3Q0MusS8u/110OHKlJO1zuYc+Qo8u8mdnCQUXUsmxHhvCaQahWWYY6maWuYSeqJSgjTNrv430hz1EuuRYcbmEpczDrCvQAXtt3w0kpWVeRMZ3lBTZsgAb76w7fZlmZKVQV5nnUpzJGyR2tfd74qcA6kPCujtz7Ngp9hIu6Co2PhaFmZyQbdmCG1Fo6NJJvlv33t+whoHac1Oo6lkqaT54P0j3QrLvySHJjOwohQs0Mt9dd4VwYNSHTMy23IqYCAXFEHrB6YcIfM22yyxL5EspspatEn023hGVmZTyFUvMpyqBKgoAZla7A99vdDicrKJpEs1Ks9SiXA7IVcE6d3o+2KpQ7BlJD5yqPzdVM20yM3JKk6keiFJOcmlzjjjDV1q87TzQOUNFYgmXZtM2GWApKQjKUXvvqb+n3QrL1iZZcdebS0px1JzXTpfcWEVaBlJXR8r6q/1lQml9q63nCQd9VGGiVEki+xg8ysrmHVqHnKJ1hqXCCQI6M5dx7uCSQuXFJ0ji8s2QFqIGtidjDZThtYmAS4dwYoZYkh+yslwBRA1F7x676PPA3EWJuFzFaerqKZTqxMLnGJZEvmL4ScgKlXBsct+7aPHK3FGXcUkXISbW3JtH0xmcZUvhDwPplVKmWEU2lS6C13LKBoB3kmOTjJappFsNuRn9b4I42oTzRplTkJ2VKvnEKbLagkeA9e5jRODVBnqdV3XKkmXa6nMEoCrkm+m2m32x5ha4h8Xca1aUYXXJ16p1ZK5iTocmgdZkI7BUNTqLnlGicP+ImKaNiVqhYvw1UqNVZV1pD8vMsqQ4rOBZWQm9jvf0xik3zSNCUu09esHyh5alAdnWx7xyik4+w5hecqacUVaRDrku0llAdWersDm1HPWLPIziwyt1QUtJ7VtraRhfE3Gk5iDGEjhGWcVLybYdm5pxStA0j7e6HT2uBRu7ERjbjVNYZe8gw6uRk3SoJZQlIsAOdtzFMl+lJWqRVPIK3XW1uosEhTBabubHRR87T7Yz/iZS30yyMUoTOrVVa35O0nqbLlZNB3CdblQuRe3LeNZw3LcGa/wnxIxxCo/xdT5SadFCdm05Z8shNs5AF0qze60Ls+YJ2itkbZw04uymOaSHVuIDgHaXm7KjsQDE5V2G33S9dKrix2va0eOeD8hjajTrjWEm1OYZeeK235tKg4ByAuBePVFBXPqlk+WOhaiATpsPT64EU4toDguaPJXTAppka/Rp5oi7zbqFkbGx0F48+qdUFWG43j1D0z5VIp9HnUpUpLcz1JFtsw0N/UfbHllQsQSTqL6iHm9kLKIqH13J5emD9cFDz/dDIrKdzvAhdki5tCJi6S5ZoIpXhAKV3mElKA3jPKLPSdYAs3UT6BHA8oITqYMDrHz7Ml/vU/WfpPhSSeUYd/3UKgi94UTzhehUeo4irVPw/R5byifqk2zJSjOYJLjzqwhtFzYC6lJFzprHsnix8G1iThnwdqHEeV4hStWqdAkV1KrU4SSmmuobQVPdS6VEqKACe0lOYA7GwjPTwdbERc6aukdDHcR5bk9elh8ZU0yqO0VZv0b25K+12eNG/TCo3hFOxsf9kHSTGKR6mlLYXT6YMISGkKWIFyDFTN0JqweAgBc6XjiSDaAWa0cT3QRROwgSdNIISRuYKRTOaCqsBpBDbnAqMEixIxyldhxBx3wRIvY8u+FQLQGW09w6RfUDTeNPV0ZuPCOH/7qKuGlUGGfJfLfLMzefye1+u6nN12TL2s2S2XtXtrGXm6kKSMtyNMwuLx9OF/CP8GXeDKpv4unvwwVTjKHDhklFsTBRkv19uqLF+152fJ9DN2Y3YDDYbEKbxE9Nlt/P8DyfF2eZ3lE8PHJ8L1ym7S2bty22atf5T2R4Yw/0Z+O+KcDHiRh/hnVZ3D3VLfRNNqazutpvdbbJV1rg0NihBvyvGZKSRH0t4W/CG8F6DwQpEjiOUqEtiegUtmn/EktJLUmbcZaShKmnQOqS2u17LUkp1FjYFXzbqM35fPTM6WmWjMPLeLbKcraCpROVI5JF7Ad0DMMNhsPGDw9TU3z/ns9Q/CGeZ5m9bExzfC9TGDtB2avzut+dtt1ZO41IghJEHMEIuI5yR7SYGYx2YwVUFKtLQ6RnlNocS8vNTkw1KSjDjz7y0tNNNpKluLUbJSlI1USSAANSSBH0D6LmLccdCnh5W5Xj/wjxJScN12rIqkpWpMS84GX1sIaLMw026Vsg9Q3kKhqpZSQk2v4b4XY0HDriNhnHi6Yioow/VZaorlVEDrkNOBSkgnQKsDlJ2VYx9AePvwhXBuscM5eS4dSTmI63NzchOKp1SkHGWJXyeYamCl5SxlUo9WUgtlYCu1ewF+7lHU0FLESnpktrfh7j5P0jfCeZ1aGU0MI6tCbTlJXTTT7HyjZdsk07mFdNjCvGniXi2Z4+VDg5WsPYObkpaSlX5tbBmAwkqKXZlltalslSnCLKAA7IJvHk/0x9JeOfwgHBDGvAOu4dwwiqzOIcVUd6lqpcxJqbNPL7ZQtbjpHVqyAkjq1LubbC5HzbsddDbxjNm0KMa2ulPVq3frO50eYnMZ5Y8PmGG6lUnpgrNXil26m39PJ9gEda0dHWJjlHvgLX3EAQTewg1ud4LkU4erSopK+yD3XhorVJIprTVOm6j5JN+BoGFuj1xnxrgeo8ScOYBnZjDFKYfmZmpOutS7RaZSVOqb61aS6EhKgerCtUlO4IjOVc4+33FHD1Lwn0WsWYYo0uGZCkYEnZGVbF+y01ILSkXOp0A1O8fEA31vHWzLAQwLgotttbnzzgni3EcVxxNWrBRjCSUUr3s0+bfN+pIAC5izYB4d414n4kYwjgDDk1Wqs+lTiZeXAGVCfOWtSiEtpFwMyiBcgXuQIraE66x6O6EHH3CnR/wCKk9WscSbho1epvxc/Oy7HWuyKg4lxLhSO0ps5SFBIKr5CAbRjwsKdWsoVZWi+09NnmKxmX5bVxOApdZVito9/0Ld252XMzytdHbjZhvH1O4YVjh3U2sTVZPWSMigtu+UI1utDiFFspSEkqVmskAlRENeJnBPinwanJSQ4mYNm6I7PoUuWW4tt1p4JtmCXGlKQSLi6Qq4uLjUR7mxh8IVwmRx5wpVqFSZyqYUpchOU+eq4lSh9Bm1MKzstOBKyhsy6c4IClBSsoOVIVmfTt6VXDXjjQ6Dgnhqp+pStPnfjSZqb0othOfq1tpabS4Er+moqJSB5tidbbsTg8FTpTnTq3aey/n7TyeRcScVY3McLhsZgNFKcbzlaW3Pe97R5LzXdnjDKBuY013ox8eGuH44pOcM6r+DKpYTomwWyvyci4eLAV1wbt2sxRbL2r21jOi2QNk31tfUf7I+mVQ+EY4M1Hg2/NmmT6MWzdNXLKw4qUWptEwpBQbv2DSmL6g5s5QRdAVdIyZfQw2IjN4ippa5HouMc2zzKKuGhk+F65TlaTs3blts1a+/nPZWPmEpsjkRCakw6cRawBuBpCSkabRz0z10qV1djVSRuIRI11h0pOsJFOumsXRZz6sAGzlW2oj6af6wja/K7fS98YorsICiNlJ/rCNINRPf74+o8AK9Ct619h+X+n1WxuDj/AHJfaizeW6biLBhSeU8XpYm6EjMNdjGcfGR+tFs4fzfXzM2m+zYPvj6DZH59lHYvKlgCEFOFRypBKjoAOZgFuADeI+enFsMlxpZQsEZVA2IPfDRjcrUC7y1GU1TyercMyCClJBtbmYdmTp7c0w4ptXk7bdnM2mZdtL+F/sjHZ6tVR26X6rNLvp2n1Gw9sQExPZRZTil5jsVneLFhW+0tWHUjcnpymSsq+y87LocW6ChReT2U9x1v4+uG0xirD0q62pU9T8rCB1ifKEanxAJO8YOucslIClaXPaFtfXvCK55OaxULq0vfnFqwSfNj+RRfM3EY/wANNNuoFVlVh45k5ApRAJ5AJMEVxDo9mAzMFxTBFiG1gXv4gRiiJwLUFHQp0/2RKyLxUMxt4abw0sLFAlg4RRrTOPZNa3FSynFdYkpUQkAW7t4VTilCm+qS04pu97ZgNYzmVWlAzFRAtsImJOYAOhvbT1d8UyoRjyKJUIourNfddUlxIUkp0Cs97Du2h0ioKdJCUHtbkqOvq5xVpaYAHnA+uJeRd61xttKgnMoC94qlBIplTS5E8yXnUABCDlBIRnsfZDryV0pDiihCVAk3vodNL+uI2QnW1z7DuRSkBxHZvqQLCHK3lJdWlSyoJUbC/vtFL25FDiyUfZnWmUFFyxa2ZIum5Ov7GCtheXtk3/RBKc6fnkF2121WSVb957joIOyrQ5tBFbT7StoWbFtCqwJ2vp6f27ocNpKAFAXVqPVCScirA+y8LNG18wJHK8VtCjgoGRNlZrwZtKEghWbQX7P7awROvmK1O3gOULAWIvz74qkghkJKVC3aPP8AV9sLqu2w4ts3IbUoD1HS8IIUUrH1b8oLPu9TT5t1KiCiWdUNLg2QYRxGg/OSPl046Ss21BF4TKr7C9oK2bgKNxmAOsDoNSRFsz6FFHZRa97wCRYXjr5T4GOAWAFA2HKK29hyXw3LtzldpUo63namJ+XbWkfSSpxIIj0t0g63XZ+TksNGnzczJ9a2vq2myRZB0uRy0jIujzhNOKeK9IS63mlqalVQevsAjzR/Ot7I9tnC7FYmkvKbDoKrkHUDu2744dV6qjL4ebYw3hLQayzxPqfELDSlOpn2UAZUZVIScpLaHN2z2ACbbXHON2qWF8R4txizifHNclXHivNJSsoyAhlP0Q6sgqcUNbHbWLtR8Pykkwl0MtNAC2RtATp6okabLsTlRVkRcDst5j5uv2xVaw6bvcnW2gxRXGSoErQi6u6x19sZpV+HaKtOqn6eW0zSUKRmUNClVrj7I1aZ8npsgph1AUpYPtiuyM2G3OqACddtoN7IG9zNW+Gz0qktVGUTkzFRU32wo+vaCjhVh5cwiZmiS4LpAcSFAA7gDbkI1l+ZU4CgrGXmDzhgmWYUspcbBCVXAMNEss5cyu0bAciw+2pltxbKALNAZU+nSLf8RstJK8mTS5TbkPREhKVFuUb6vq092tvthOcq6HAdBe3KG03KrM8k9NORLGCJd0gAN1BtQAFzeyv29UeNQ7e9+Q38I979L+WZn+DNUnQAtyVcbdsDtqBe0eAHDdO9gSmw9UCsvNRG2thQuBWp2gSpKwAbG194bBQKzY6W28YU7LmhUE27zaKVEW5dsiucFUk3hbXnBFkHnCTdjuiaWlLuRBwwu8Ky5AT7Y9h/B5dHDCvGXFNcxpxApiKlQcM9TLsU94XZm510FV3B9JDaE3KDoouJvoCD8+xNGpiswnSh3n6My7MsJkHCtHMcVdqMFsubb2SR5DpkzUaTUJWrUucdlJ6RfbmpWYaNlsvNqCkLSe9KgCPER6o4k/CE8Y+J3Cuc4az2H6DTl1aVMjVanKJcDsyyqwWlDalFLedIUlZ7Vws5cmlg+EMreEZbjSxw5wZhai0aRwhTmmJlMhT2ZYrmn0peNy2kEoDSmAE7A57bx5b6znGWrWr4GpPD057cmdjAZZlfFWFw2b47D2nbVFN3aV7q9rJ9jsyWwvgnFmNakaNg/DlUrlQDanvJabJuTLoQCAVZGwVZQSBe1tRDKfpE/Sp6YplTlH5Wcknly8zLvtltxl1CilaFJOqVBQIIOoIj6sfBrYRodI6OEli+Tkmk1PE1RnnZ2YyjOtMvMuS7SCrcpSlskDYFa+8x82ePDik8cuIwA/5XVn/TXYbF4B4bDU6ze8uwo4d4ujnmd4vLY09NOjsnd3bUrP0JdxonQu4BUbj3xeTRMWKeVh+iyaqrUWWnChU0EuIQiXzDVKVKXdRBCsqVAEEgjSfhHOGPD/hliXA1J4e4PpNAlXqXMl5EjKpaLykuICVOKAzLUBzUSYlvgqllXFTGpUL2w+1/pKYf/CslQxvgEpO9Km/86iNioQhlDqJec3z+mx5v4VxNbpFjg5TfVQi0o3dt4Xbt33fM8LrbUtJSFFJIIBva0fXXo54V6KvGvhVQsUUfhPw3nagiSYYrTP4PSfWys8lADzbiS3mT20qKSdFJsoEggn5D9tRgyEqSQtOiuZGht3Xjn5djlgpNygpJnsuMuFKvFVKmsPiJUZQb3V7O9r3Sa7ttz7Z17oo9GzEkiuQm+CuEWW1bqp9NbknPU5LhCx7Y+evTQ6GSeAgYx5gSamZ3BtQmfJ3GphWd6mvquUIUrdbSgCEqOoIAUSVAnF+C/HDGnAnGtOxphusz6ZKTfbXVKah89TUJQKu6ytBukkozBKiCUqIUNY+tvSuo8hiToz8Q2pxsOtN4cmqggKFx1jDZfbPqW2kx3k8Nm+GnKMNMonyKUM86Oc8w1CviXVo1mk7t2auk9m3Zq900z4lEGPp70FqL0Z+LnBek0qscNMA1LGeHkOSdbanaHKOTisriuqmFFbeZxK2yj5zUZsySbpMfM0Mp7oOGkhSVjRQ2POPPYHMI4Ko5SipJ959k4s4Qq8T4SNClXdKUXdNX7uTSaPtrUei70bqrKOSb3A7A6EOiylS1El5dwehbaUqHqIjxL0yeghReG2HZvirwdRNJosjZdVozzynjKM6Dr2VrJWpAPnJUVEXzA2BA8iYOxzjjh9WWMSYExXUaHVZZQW1MyrpAJB2Wg3Q6jvQsFJG4MfaXCFbk+NPAqkYjqlMQ1L4zwwzNTUnmzpb8plgXGwT5wGcpvbW0ejoVcLnVKcNGmSPjGa4LPui/H4fEPFOrSqOzW9mla6cW3vZ7M+GgGkTGEcPzOLsWULCEk8hmZr1TlKXLuLBKUOTDyWkkgbgFYMMUsEDKtOVY0I7ou3A9kDjhw2UBtjKh/wD+QYjyFCMZ1o05drS9p+jM2nUwuV18XR5xpykvWo3R7k6VnRl4OcFeibWHsIYMkfjmTdpjSq3NNB6fcUZppDi+tVcozgm6UZU2JAAGkfN06eqPr38IOArosYlT3zdN/wBNZj5JBgHYR1uIYwoYmMYKy0r7WfPuhytis0yWtiMTUc5OrLeTu/ix7xgTppAFJO0SSZRxwhthhbrqzlQ2kXUtXJIHMmPqbI8BeE/Rc6OFUxVUcD0Ct4opVAcmJ2oVSTRNKmKgpsWaSVA5GS6UoCE2GWxJJuo4sBgpY5SmnaMVds9LxfxRQ4VlQoTg6lWtLTGKsu1K7b7LtI+TpbWdod0ih1TEFXkaFR5Nyan6jMtSkqw2LqddcUEoSPEkgQ9ebL7i3VhIUtRUQlASLk62AAAHgABGr9EqUbX0leHSXEBafjttViL6hCyD6iAfVGfDNVa0aXY2kdzO4Ty3LK+OS86nCUrelK9i59ILoRPdHrgtTeIFfxkKpX5yqS9PfkpWXCJVjrGnVqyrUc7hBbAzWSDc6Rn/AEZOjPiXpJ4unaFS6m1SKXRmG5mq1F1oullLilBpCGwQVrWUOWFwAEKJOgB97/CZpCuj5TRf/lPK/wCjzMVb4LGXab4f45e6tIcXXGEFVtSkSySB6ipXtj0U8BQeZRwyVo2v6z4rhuLc2jwNVzydTVXdVwTaWyduStbbe1zxJ0mODdO4D8Wahw3pdYmaqxIysq/5XMNpQtZdaCyMqdAATpHujhN0POE+DOjPMYuxVguRrWLqnhV6qzEzVGhMeRurlS6lppCroR1ZIGcDMSCb7AeYvhEGs/SYxCobCmyP+jpj6W18f7n2oC3/ACPdH/yZi3LsNReJxHm/F2XoMPGWdZkslyeXXNOulKbTs5NaedrbbvY+GYvvblHrj4P7o1YQ42V2v4u4i0xVRoeGyxLy8iXFIampp0KJ6zLYlKEpSct7ErF7gWPlUsJOto+kfwVqcvDXG4A/5QNf6MiOTktOGIxijNXW7PonShicXk/DdSthZ6ZNxjdbOze9n2HlPp5YTwxgnpEVPD2D8O06iUxmnSK25OQlkMMpUpoFRCEAC5OpO55x56bv1qP5Qj1F8Im3m6T1XJ/6MkP80I8zNtWdT4KEUYxqONml8o6XDUKlbhbD1Zttuind7v4vefcDjx/weuIH/uhU/wDQ3I+F5BNz3x90OO9j0e8fC3/JGpj/AOUcj4dFvfSOxxHLTUpr0M+cdCtF1MJjLfLj9jGYUUglWgA3j6V9D7oJYFGCKTxK4z0JNaqtbYbnpOjzWcSsjLrGZvrW9OtcUkgqSu6U3CctwSfnHJyTczOy0qvzX3UNK56KUAftj7c9JHEFUwfwAx5iDD82uTn5GgzRlZhtWVTDhQUpWkjZSc1x4gRXkmHpVFOvUV9PI1dKWb5jg54XKMDUcHWe7Ts+aSV1va73sLp6OPR4SkD9w/AGg54dk7/5uOX0cOj3Yn9w3AO3LDkn93Hw7ccmXFrccmHVLWSVErJJJ5k84+0PQzKj0W+HRUSomjJuSdfPXHWy/HUcfOUVTSt6vcfPeMeFs04PoUq9TGynrdrJyVtr/KZ8ecZPSUni6uyrDLbLLFSmkIbbSEpQgOqASkDYADQR9H+FvRH4U4N6L83jHFGDZKs4sqeEn6u/N1NgPKk3HJQvIbabVdDZbukZgMxUCb7AfNTiGyBjPEt/+lJ3/PLj7aYmH+5wqv8A7kv/AOgmOZk+FpSqVZyV2uXo5nuukrPcxw+Fy7DUqjjGdnKzabso2u12bnw/L7atjrHt3oQdCzC3FPDaOLfFiWenaJMvOs0ekoeUyiZDaihcw8tBCynOFJSgFN+rJOZJAjwl1djf7I+3HRNk5em9F3hm3JspQF4VkJlSUi13HGQ4s+krUonxMUZJgqVes5VFfT2HV6VOJsflmW0qOElolVlZyWzsl2Psu+1ElL9GXo4yEqiXRwOwGpLKbBT9BlXVm3epaConxJjwP8IRW+jnT00Ph5wawrgqVrMnOLnKvO4fp8sz1KUpUhMst1lIzKKlFRRfs5E3AJEeTeIOOMXcRsUVHFONK5N1Ko1CYcedW88paUXUSEISTZCEg2SkaAAARV+qIi3G5nTrQdKlTS9Jz+GOBcZluKp5jjsXKo0r6bu12u1tu9r9y3BnXi3KqPcpP9YRYTVra5jrFSqo6uSdWRtl+0Qh8Zfxo91wBC2Eqy/vfwPmnTpN1c0w0X2Qftky5Gq6XzGL7wmnDMTtQF72ZSf6UYh8Zm1s3vjUeBU311QqqSr94Qf6Ue+sfCakbRNidcNrxCVZ0qsL2TbN6O6H8w6Bz5xDTqs4Ll7Hvi+ESiPO5DziyVqKvpAFQ90Qk+VgKfZ7RuAR4GJGdWvrDp3K0iIcDxeCUJUpRdCQkcyY2RRsigim3Jh5LbZJWpVwm+pPd+3dBnKc2y4puoVJmVcSL5ClSiAdr2Fh6zAz8/5J/c8qltJSnIt4EFSl2NwFW0A2010vziJImHiFBpSiVZRa5zHnDrld7F0E2icFPdlCUupC27JUhab2UlQuLX8IdyrqQLJXYDa/OG8g9UWmTLpSX2yQlbak50i2mx/RaHjEhUJ19GeT8jlmSApQJSHiL73OZP8AYIw4jHUKC8+SJGlUqOyQ/lpldjZJOW0Sck46X+rbSVKPasOQ5mIJdSVK/MMLu0kpKglXV3sdD7CeWsGlsXLl3EutsISltebIo+cBaxJtcjnbYxzPhmhLZDSy+ra6LlICYfUlSG1hvNbrCOyBv69NYm6fOSinUKDikFBzfO7aHYkDT06xRpeuLnkBx51SinRK1quCP2N7RJS0yQq6lWPeY2U6tPELVBnNq0JQdpF4DolphTbawrqykpUlQO4BGo0icmHKYta5kTCmlOpDqG0ozC5ANr+k225RRaXNIdeCHZgIb+kb2Pq8YnH6iy+7naV2bb8iedvDuhZU3cySiTrMwSkJAKdx4w/ZfQU+cDfax1EVyXmgdAYkmZi4Sm+0VSjYzziTLK0psAdfth0lwE27hEUy8QQbmwPfDpqYCMucXuLEjTb9vdFbRWSjSk3Fuev7e0Q5DqFDXSw3iKbevrm228IcNvhKe6KXFkTSY7Qq6iPRrCFacKaLUygD5uQmFbdzSv1QKXSrbXTlDHETyG8N1lZzDLTJzS//AFCoWw9Pea9Z8yUCyEA/VH2Qq2UgEFAN9v7ISSDkSVG+g07oWQcqQO+KqtTdn0OCuGypVqE9mO6pG+S97C0DcEC+l4dSMg5VJ2XprBAVOONyyDvZS1BI+2Mkq2zLVBM9S9FLhzM0yiv47qSVNqrCAzJpUP8Ai6VEZvSpV/VaPWOHaaxLywQpHaUU3PMeEVDCWH2JCn02SYT1bMnJssNtgdlOVIBI9dz64v8ATwhtpJAvr+mOabIxQpVVmVYUs2sASE7eyKrgTG0vX69iakobLD1DmG2FpUdXc7aVoWnuHaI/wTFqq91snNa5uEk8ozRNBnZXHE1imktOBx+UEhMoQoBt1KVFQWoW1VqRfugPkHQjuJPG9zDnELD3DejU343rlXdQqYaU4Utysufpqtz0OncIt78xPPV+zCAGG2SXFJ80LuNB7Yz/AIccLabTMeYg4kVJanK9Uz1bAe7Tck3YA5QdzoO7wjW6RS2mZZegUterjh3Uq/LuEK1diOKQdtoTLIsQpe5sdtYUmbNN6pFybE8yYcNMuM3CU2TDWoNrtmJvY32i1KweSsRUzUFhYBUSSTp3D9jDJVUcbPWDdQIAB1OnK8OFy5JObQ30ho+yEJypTYDbwhpPsFMe6Ts4U8Fa+k3Cng0kk/8A5gvHg95GWye4ACPbHS9qSJDhOmWKsjk/PIYCTzCe1+iPFSzcpPhFdb4kUVNJtsQLdklQOwgdrXELA3OndCawsk2MUqVgaS8kwmo7wkqZO5TBTMd4hKh2kPJcXQf5UfUr4KpiXRwJxTMoWlTzmMphKzbVIEhJZUn2k/4UfLOSWFtk/wAaPcHwZfHGmYLxtWOD+JJxqVk8XqRN0hxw2Sak2nKpm+wU60E5b2F2cupWAfGUKkKebT19raPs3EOCrYzgKhKgr6FGTXoV7+F7mO9ONp9HSq4gJmAQryyWULi10mUZKT/NIjCwNNY+uHS56FNM6Rc5LYzwvWZehYtk5cSq3ZhomWn2QSUJey9pK0XNlgKNjlIIylPnPBHwWHEh+vMp4i4+w5JURKwX1UZx+YmnEc0o61ltCCeSjmtvlVtGTGZRiniJOEbpu9/WdjhrpDyKjktGOKq6J04KLjZ3vFW223vY9Q/B6ysxJdEvBzcy0ptS3qo6kEWuhVRmCk+sG8NOJPwfPADiZi6o41nfwgo0/Vn1zU6ilTraGXX1klbmVxteVSlEk5bAkk21i9cUse4B6KXAozMmyxJSNCkEUygU0uEqmH0oyssgk5lHTMtVycoWo31j5f0bpu9KbDsj5HJ8Y6ktlJKs07JSc253n5x9pareF7COzi8VhcLCGHxMdW3r5HzfhzJM/wCIMVis4yWr1EZSe7bje7ba2Tvba59PuBvRj4R9G5upzuCmJ0zdRbSmeqdUmw46WWySEXCUoQkEknKkX0uTYWPxw6NPCfpJSlKmcaonC9TW1+Q1GmTYbcS05lJANlIWk5UkXSbciLm/iLivwn6feOOEr3EHiTjZ6fpCJBU3OYeYnhKzKZUJKlKelWGm2F2QMxQVKXyy3uIT4O8IuntgzhQxxD4XY1fp1HdkkzUjh2YnhMPqlinMlbMpMNLYbzJOYJzJUb7XNoXyuNuo8nlote1v4fiWfk9iFU+FlnFLynXpvqlzta2q1/8ALpseg/8AyXvR+3GJMcj0T8r/AOHjv/Je9H/f8Jcc/wDx8r/4ePF46fHS1sMvGB0//wBEpn/hoMnp6dLhaghvi6+tSiAlKaHTCSTsAPJt4weW5U3bqX4L3nsHwt0hQjqeYxt+/L7h7doXwavR0olVl6lPOYmrTMusOKkqjPNGXetrlcS20gqT3pzWI0OhtHpWryOGsS06pYKq6JOdlp2SUxPU9a0kqlXkqbIWgG4SoBYvzsQI8r1/hX06ZrhJM12Y6THX4kMkqbcoMpQZKW2TmMu3OtoSsO2uAoJSkq0uB24+bUtxF4hU/E6sbSWOcQy+InBkdqrdSeTOOJBByLdzZ1J7IulRINtRGqrj6GV2gqDSl6vxPN5bwlmnHbqV6mZxqTo7L47s+fao2TtzSd7H0wmvgyuj1NzS32KvjKTbWSUsM1FgobHcCtlSj61E+MJ/+TC4ADX8JMcH/wDfyv8A4ePFUv07elhKsoYa4vzRSgWBcpFOcV61KlySfEmFfl6dLS3/ANbzv+RKZ/4aMXl+UPd0vYveeqjwj0iR2jmKsv78vuHtSX+DM6Pku+h1+tYzmW0G6mnagwErHcShhKreggx6coFOwvhClUrAlERKSEpISSZWn09LgumWZSlACUk5lJSCkE67i51j5HOdO7pYPtqac4vP5VixKKPTkqt4FMuCPURGT1XiVxCrmJGsY1fHeIZquy5Jl6m5UnvKmL30aczZmxqbBJAFzaLKec4HC/o9Jq/PkjNiujDirP7fDOPjLSnp3lLf6VG3pe7Pp7iT4OXo+Ykrc3W2XsSUcTbqnjKU2daTLtqUbnIlxpZSm50SDYbAAACJXhr0COA/DHF1PxnJprdZn6U8mZkk1aabcZZfTqh0IQ2gFSTqnNcBQBAuAR8/aV04OlPR5JqnSfGGoKZZSEpMzT5GZcIH1nHmVLUfEkmG+IOmh0nsS09dMqnGGqJYc3MlKy0i76nZdpCx6lQizPK4S6xUfO58l7y6XAvHtai8HVzJOk1pfnz+LytbT/E9e/CR8bcOSWB2OCtKn2put1ObZnKi00oESks0c6AvuWteQhO+VKibXTf5yhyxhKbqM3PzLs5Pzb0zMPrLjrrzhWtxZ1KlKOpJO5OsJdbfWPP5ji5ZhXdWSsuxeg+v8F8O0OD8rjl1Kep3cpS5Xk+e3Ytkl6EXLhclmb4o4LlZpAUy/iWlNOg7ZFTjQVfwsTH1O6ecrNzfRaxciTZW4ULkHXAgahtM6yVH0AC58AY+QcvOTUo+1OSMwpiZl3EvMup85txJBSoeIIB9UfaPg9xIwf0oOBstVptmXmmK3T10vENNzW8nmS3kmWFAHMkHMSk6EoWhQ3EdzIFGrh62G5OXusfLOl+dbL85y7PNOqnSav61JSt9K5eo+MhdG0a/0RQt7pM8Om2klSvjjNYC+iWXFE+oJJ9Ubrjr4L/iEzXZg8NcbYfmqM4sqYTWXXpeZaSSewotNOJXbQZhlv8AVEbx0UehHT+AlWVj7GNZlq5isNLYlfJm1CVp6Fiyy2V2UtxQ0KyE2SSkDUk5MDkmKp4qMqkbKLu36j0HFnSjw/iuH69PCVtdSrBxUUmmnJW3utrX39hs/HDghhTj7hGXwXjGdqcrIS883UErp7qG3C4hC0AErQsZbOKuLd2sKcGeBuAeBGGn8MYAkZhpicmDOTb8y+XXph7KlGZSjoAEpSAlISkWJtcknyL02OmtjHBGPZTh7wOxo3T3aM24a7NsyktNJXMqIyy4LzawC2ASrKPOWEkgpUI84jp5dLLnxed/yJTP/Dx3sRm2Bw+IbcW5ra6S958nyfo64rzrJacKVaMMPN61TlKS37JNKLW/Nb8j6E8SOhVwe4q8SJniZjmYr89NTXUpekEzqW5RSG0BARZCA4AQnWy76naNteYoczJuYXmBKLZclSy5JEpsZcjIQUfUt2e7lHyDm+nN0rJ2XclX+L831bqChRapVPaVY9y0MBST4ggxli+JXEJeKPw2VjvEIxFl6v43FTeE5kvfJ1wVny/xb28Iy/D2DpSbo03vz5L/APp35dEnEmYUoU8xxsbUo2pq8pJehbR0r0q7PpfUPg1Oj3Ozjk1KVHF1PaWsqTLS9RaU22PqpU60tZA/jKJ8Y2vhFwd4adHfCL+H8HMmRkn5nyqcm56azuTD6glAUtarJGiUpCUhKfC5JPzCw/01el3PTdOw3Q+Ks9Nzc2+zIybCqVT3XX3nFhDaM7jBUpSlKSNTck7xb+ktwW6ZrOCm8b8aMWuYnpLqmhNU+RqCnUSS1EJR1kohtDN86gnM0F6ne1jD0MfhYp1sJh22udkjNmvCfEFerSyziHN4KE35sZTlJu3J2air9137T2/xt6HfBzjziRGLsWpq0jWAwiWcmqZNpaLzab5AtK0rSSLkBQANrAkgC1JoHwbfR4oNXlarNP4mrKZZ1LvklQn2+odKdQFhppCiLjUXsedxpHn97BvwhHR74UuY3l+IzqKNKS6Zmcpzk83VJumsBOpUiaaWhCEi1w0tQA5WBti9R6cXSqqkm7IznGCdDboKVFimSLDg9DjbCVpPiCDAr43A05669Bqb33S94co4Y4qxuFeFyfNoTw8bw82pKyXdbS7ben1Hvzp1cc6Bww4M1bBrM8y7iPF8qumScmlQK25ZwFL76k37KAgqSDzWpI1F7fJNRFr2EOq1iGu4lqLtXxHWp+qz79uum52ZW+85YWGZayVKsANzDAr13jgZlj5ZhV12slyPr/A/CdLg7L3hVPXUm9Updl+SS9C97DZ3GyFsqyuJspCvqqBuD7Y+1XCviZw66VXBwzfVSs5J1mRMjX6Ot4qXKOrRZ2XXsoa3yrFriyk+HxSz2iYwtjXF+BaoK3gvFNVoM/YJVMU6ccl1rSDcIWUEZ03HmquPCLcqzLyByjNXjLmc3j7gr8radKrh6nV1qV9LfKzts7brdXTPp0v4Mro7qmzNiqYw6oqKvJhUWert9W/U57f4V/GNg4hY74Z9Fbg0l0NsU6lUGRElRqWhz52acSmzbKM11KUTqpZva5Uo7mPmL8uzpX+T+S/uvzPV5cl/iin5rWt5/UZr+N7xkGL8e40x9UzWcb4qqtdnbFKXqjNLfLaSblKMxORN/opsPCOpLOMJQg/JKdpP0JHg49G3EOcYim+Isap0oO9lKUm/QrpJX79yGq84/UpicqU4sKfmVuTDqu9aiVKPtJj7z4ap8rU+HtJpVTlkPSs1RmJeYYdTdLiFMJSpCgdwQSCI+VPRG6IE/wBImcGKqpiKmyeE6RUBLVJhD2eefIAWWktgWbSpJtnUdicqVWNvoP0ueNNN4HcEKxPM1NMrXatLLpdBZaUUumZcTl6xGXVIaQVOZtAClIvdSQb8lhLDUamIr7Re5yulDF0M9zTCZNlj1VYNxaXY3pSV/Ra77kZxU/gx+jnUZ96blahjCmNuqKkSsrUmlNNi+wLjK129KiY9J8N8AUvhhgKicPKHPz83T6BKIkZV6eWhb5aR5gUUJSk2FkiyRoBz1j5GyfTr6WVPlm5NjjDNqbaSEpL1Kp7yyP4y1y6lKPiSTCqunx0uOXGB3/IdL/8ADQaOb4Cg3KnTab57L3i5j0ccX5rCNLG4qFSMeWqUnbs+Qe9+IHwd3R44gYjnsUOytdok5Un1zM0mkzyUNOOrJK1hDqHAm5JNk2HhHlDpsdDjhf0dOHVFxbgar4jm5yo1tFNdTU5ll1sNGXecukNtIOa7adSTpfSM1+X10utv3YHbf/odL/8ADRTOKXSW43caKJK4d4n46crdPkpsTzDBp0nL5HwhSArMw0hR7K1CxNtdtoy4vG5fVpSVOnaT7bJfxPQ8PcK8X5bjaMsZjFKhB7x1yd4928V9pj9eGSkTKu5IPvEU8Trml1e+LhiP/wChZon6g+0RnhcVz+yPd8AfoNT97+CPm/TmrZzQX/t/6mShnnAfO98a90eX1PVKsAnaXbP9KMO6xUbP0bFlVUrQJ/4u3/Wj3seZ8NrK0GbfMFXIE+ERs6vs5SBf9ESMyDlNiYjJs3BO/KNETJEg5wFtKiDcgjfXSGDCMnW1BSFBLCVlBB0K1dlPsuT6BD6ZSt18NJSSparJT4xE1mbaSGqfJuoUWwS4RqFLJ1sfRYX8I0wV9jXBX2EKbSlTywzbMlAKrqTfLr+x9UAh+mtTKWZguKQlRUCk2RmGwv8At64dyLglaZMzU3U25KVDeUr0UUC1io285SgdE/riBZZFZmw82p+Tp6bmXYC7zD6dsxHK/hqOVufhc9zipVrOjTlaK22O9hMNGMVKS3J6mYvkaRNluXGdxw3Q0lrOcpNzzEWJnFk7OHM9LSbJVcoS5LLtYDTQad2+kN8P4EmHFIVSJWWkes1Up3c95KiCSfAmLnJ4EnZYobmq8twEEIYaUs5ja51JNh7I8tOo3u3c6MYtbIpc/PNtID74kZkJObsIcRYcxos6WO8VidxBTZwraXh7IEggOtufRGw2vHp2hcAJKttpmJ9nq21pBILigT32Nton09HfB8msqMm0SE5cySrN7Sdd4zLHxiaFgpSR5IYrtMbYbllqyJWLFZOpHIa7WiyS8y8y5KrRNNPSszLgNpzEqQtOhF7akiNJx70b8Ovy7i6I+uUmRdSNCoJPO45iMMNNxDhWuGkVdot+Spvqk5XDm85JA2tHqMhxfXV4qDOPmWE6um7o0GSnrKsVb6RMys9dQAOkUZM/lN0t6+sCJuVn03CgrS25j3sodp5idOxeJacAKbHeJRibN7gxS5WeJt4RNSs4bXvGWcDLOBbpeazWFxrD1t4bE3itScyCQrnEqxMZrW0iiUbGWULEw2uw7OxhVt1et9fTDFp8gAQul6+hiuxTpY/aWVm5OuwERmMnFM4OxC7a4TSJ068j5OuHTL2VURWPZkjAeJlDYUWf9vk6xCabjUd6kV6UfOY30v3ARwUq8GcIVsLC2njBUhR1IPsjJUh5x9FVwyFG+uu8PJOackptmfYVldlXEPNki9lIII+yGQBBvaHKUKDS1AXuDbTQ6RnlR2crDKbPqFh+oNTlOps3LqTkmJFlYUOZLYze8mLVJLDiQoCw5ACMr4DuvTXCLBL7qwpz4lZKydSTtz8AI1antosCq9hsLbxy/SaoVLIRxPUZOnyiTOupQVeakntHbaK7K49w3LLQ0wQttxPnC19+cZDxpxfMPV2pOy80Wm6QAyAV2Gci59OlozvC0vxVxTIJeoTbQknUEoedWkDKNb9rlBaNUKepamex5BinV5vyumFvXVQTb9u+JmnSnVKUVaFPIR5VwjjXF2BapJSGKZ1iWffTnQpLnzbyL27rXN49D4Ux3K4gZMww00cyglxTShlSYTTZ7ldWOnkWx4hNzufGGMwQfOFxDsFEyjrGzcGGryNDrDJlV7ES/lFuyL+iGcwE5SQm1h3Q+mgEuC243hk86ErKjsOVt/fBuLKR5C6beIEPMYdw+hGRAedmVJzWOgIGndr7o8tJdCgCDcco2jpgVRuo8WGpJl0LTI05vME3GValrJBv4ZfbGHXKfNForrPdIq1NDoLGusCh9tPni8NkqIHjAHKd4qSJqLqQO+CEXhYphNSfGEmzvqA8p/4kn+MYeNuuMOtvsPLacaUHELQopUlQNwoEagggEEag6wzk9GT4KhfMI+b5k2sZUa7z9S8JqMsiw0JK60I9e8JvhK+NOAKaxRMZ0mmY7k5YZW5icdVK1Ap+ilUwgKSsD6ymis81GNDr3wsVdfpy2cMcFJGSn1J7D8/XFzLKFeLaGWysf4aY+f4MDmh45tjILSp7fQc6t0ecN4it188MrvsTkl4J2L/xd428SOOOJFYl4iYhXPOoKhKyqE9XKybajfIy0NEjYEklRsMylEXii3XY9W4W1fRUADlPI2OkJ5ud4HN3mOfOpOc9cndnsMPhcNhcOsLQgo00rJJWVj6E174USjVfhVNUqU4c1KWxvO05Uo44XGjTGnloKVPIVmLikgnMGygfVKvpQnhD4TuhUPhHIYfqfDqpTGMqbTkSKHGnGk019xtAQl5SivrUA2CigINtQFc4+fWYd8DmHpMdL4axd73XK3I8QujHhxQUOrfxtXxn4er2+kcOvrfecedWFLcUVqNrXJNybQXOQnsrUkjUKSqyge8EagwjmMCFeMcq7vc+hrTo6u21rfQeyp74THitPcMHMF/gnSWMQuyZkl4kamV3sUZC8mWKbJet2s3WFObXJbsx48Llzr7TzhEq7zrHBXjF2IxVbFW613scnJchy3h9TWXUlDW7vdu/j3di5C1zHZ7bwiFeMcF62jNpO71ouFjeOzwjmEdm8IGkbrhbrLQPWGEM0dm8ImknXC+a/OBzDvhDP4R2aJpD1wuF+MX3hDx04l8DcQ/hBw6xEqSU6U+WSbyOtk51CTcIeaJFxyzJKVgE5VJvGdlQ747P4xZTnOjLXTdmZMdhsNmVCWGxcFOEuae6PfeH/hXMQS8ghnFXBinTs4lPbmKfW1yzaz4NLZcKf8YYoHF34SPjBxCpkxQcH0iQwTITScrj0pMLmZ/LzSJhQQlII5pbChyUOfkMqB5x2bxjfPNsbUhoc9voR5HC9HnDODrrEU8Mm07q7lJeDdvFDl2YcecW864pbjiipalG5UTuSeZgmfxhHMO+OzeMc3Tc9yqulWQv1h5GAz+MI5vGOCrc4GknXFgwRi6fwJjSgY4pbbT05h6qStVZad/FuqYdS51ajYkJVlykjUXuNbR7X40fCWUvGnD0UDhrgip0uuzL0u7MTFYDLktLFpxDpDYbWVOglGW6g3ob2vpHgjNbaAzRuw2Or4WnKnSdkzyud8J5TxBi6WNx8HKdPZbtJrnuu3c99cWfhKcOY74PVfB2H+HtWp2Iq/TXKdNOzTrK5KVDqChxbS0qzukJJy5m0a2ve1j4LzDWx25wjnjiqExeLq42SlWfLYv4d4dy7hilOjl8WlN3d3d+j6EKlY5QGeE82kBnjLY9A6opm9McVXghVAZ/GDYV1bh8xEBm1hMqMdmMTSJ1hbeHfFXiJwlrTmIOHGLZ6hT7zfVOuSxSUOo3CXG1gtuAG5GZJtc2tCfEDidj7ipWvwh4h4qn67PhHVodmlizSPqtoSAhseCQBfXfWKqVGOz+MW9bU0dXqdu7sOesBg44l4xUo9a9tVlqt6+YcnvMBmEFzX5wUmEszY5hyqAv4wTN4x2YRLCuZH4lUBRJr+QP6wjPYv8AiU/+ZZr+QPtEZ/H1zgD9BqfvfwR+WunF3zqh/h/6pAxtHRoF6tWh/wCzI/rRi8bV0ZBmrFaH/szZ/px7xcz4hX/o2bm6m2h5xEzyFBJFhsLe+JqZSSqyRcxEVHrELyqQQdCQe6L4mGLIKdWqUkVTN7PPqU0k2uUpAGYjxNwIpdYcTKyz88EoK2pdxY13UlJt9kXWpgOU/shPzTygDe47QGn9H3xn/EZpdOw075Q2pvyjqggFXaAzXI8D2NjyMXSqdXTlLuRvw1m7MpFFeemHWWpl7MlKs4StWZOf61jue4HSNawzVJKjU8uMSLDs46Mgcc7a7m21u4Ai2wjI8P0ucnyEpQT1Zz6XshI5k+qN84aYelpkS632FuKDQDTYSAEX3JvzMfJcXNSk5S7z1sI9iLNSqhU55KTLSKVvuErSnWzSOXMXMXzDNPqIS3MuS63FrJzKCL5LixPd/ti4YH4fSiWGgUZVfSsnZPdvrGlSGH5KiM5pdlIWQbkgajujl1MRHkkaoUmtySpSmpmjSqpe6UoZSDpY+MR9UW420oG9hz5mJSSdal5cqCAhJ1AFtIiZ99E2RZIyqVzOhjndp0IJ2KJWFzE0FsoURfW5A19vKMy4lYNaxHRyp/IiclT1ss8lRCk67HvBvaxjQca4homGXvJZoPzkwskCUlU5nD4k8h6bRmdd4g4kq9QlqZQ8JNyEo2UpdEysLecSpVjdI2NjzMdjKq1TD1VUh2GPGwhUg4swR+dfl5gy7pIUFEZL6iJORqxWnTMCCOd9O+IridUadK43q8tTUJQWXQVIyZQL6XB9IMQUjU1BKsywCBoTrfwj7XhZLFUI1V2o8fVw+nY0+RrABAubEA2O9osFPqalE3INtBc7iMjla68h7OSRrz29kWilV9ayCtQAPdAqULGCph2jUZCo3WNR+widlpxOmojOZCqE2N7aiLHK1JWRN1bjWMU6ZhqU7F0amrjcQ9Q7mtrFXlZwqSDeJNqcN9DGZwsZZQJ9DyQR4RCcQ5jq+HuKF6WNHnAee7KhtCiJvMdzeIPiXMLHDXE5C/8A0XMD2tkQNO6FpU31kfWjw/MU4KSmYZN0HS19tIRalbLCiRYeuLDKShmG/J7EAgG+XQm0SEhhKZfWR1eoNrWhequ9z3fWxgtyppknFK7CSrusOcPn5Bxim9e5dJU71YQdPok390X6RwettxCeqQo7KsN/1QhxNpDdJw/TEhsN9ZPLKiBuAgkD3/bFdeChSaRVHEKVRQR6W6HOIUVLhP8AFTs2XpikVFyXKSrtIQs5kJ/kgbeuPSACUylgQCrs3vt3fbHjHoP1UeX4moqjc/MT2QnSw7N7ekx68ems7CmggKzEG3PQ3jyidzocjzXxG4euTldrryppbxmiZhUutVwVBIHL0e+LHh6u8PW8L0OizFFbfn5CXXLO5W1AEFJTb22ix8RpZctOIxMiyZcAImm7XJHeO/n7opkziDDDbiatSFoIUmxR9Iad3fFvNHSpvrIJMe1vCuGcSiTerNNbabbl25eXlm3QC0hKco17zufT641vA+HqPQaRLSNElQxLlIWsEbqjNcH05WMKmKnPNONy7RyBBGUaC+g9ZjY5Pq2WW5dhIAbTlFoVlVR2WlFkknGm5ctpG+l7whMuKTsLxGsTikAt3sQdYN5UX9Lbd8KZuYV1GdZcN722hg+hbhUMvI+A0/sh07MJSSM2o0jLekHxDd4f8L6vWJN9Tc5MI8jlFgbPOXAP2wy3FkeDOLVfl8U8TsT16SWVy0zUHEsKJ3bTZIt/NiqG+l7QKW1JRvfU62gLKMUzlqk2CwXa9tdPZCS1KSddR4QqpWm0Jmx5wl7IGyNAKD3QRSDyEOoIsEnSKpM9RZAS3YQpKiN7wrmG4sfXDdV9+QgigTHmMVk0a9WVXXzfcfT8p49qZbg6eEVBNQSV9XP2Dy/o9sdnCTrb2wxse6OsYzfAUfl+z8TpfnKq/wBnX1vwH/WA/wC2O6wd3viOt3wFvCJ8BL5fs/Ej6TKq/q6+t+BJZ/R7RHZ/ERGkX5QQpCtxEWRR+X7PxA+k2qv6uvrfgSucd49sd1g7x7YibchAEeA9kOsgi/1/Z+Ij6UKq/qy+t+BLhwDmPaIHrR9Ye2IcwI31hlw9H5fs/ET86tZf1ZfW/Al+sCuY9sD1gGxHtiIy67aRwTptDLhuL/aez8QfnXq/2ZfW/wDyTHWW1zD2wBdH1oiCkW80QdMuVpukpHpEVV8ho4eOqrVsvUbsB0jY/NKjo4PB6pJXtr7PAlkuC3nD2iOC0j6Q9oiLTKLt549kKpkVn6QPpjJ5BgFzxHsO0uJOI3yy1/XXuH/WD6w9ojs4vuPbDT4scOzjY9Rg4pDt/wAcj2GB5Dl39o9jLI57xO+WWP669w5Dg7xAZweY9sI/E7xOjyI74oe/KoHtgeRZd/aPYxvhvir/AKW/roWKgOYgQ4Lbi/phuaU8P31HvgDT3B9NPvg+Q5d/aPYxXn3FEeeWP669w46wfsRHBxI/2iGhp7hPnA+uO+LHiPxqPYYHkWX/AD/sFXEHE75ZY/rr3DwuJA3HtEB1ye8e0Q0NGeOzqYD4jmTqJlv0WML5Hl/9o9g6z3il/wDK39dDrrUk3ziB61JF849ohiaBMHeZb9hgi8OTSv8AjDXsML5JgPn/AGBWd8Uf9Mf10Py8n649sd1yObifaIjThebP/GWPYYTVhOcUP99M+wwHhcD8/wCwb4a4o7csf10SvXoP74kesQBfbH74k/4QiHOEpu1vKmfUD+qElYPnP/WmifXEWGwPz3sFlnfE6/5a/rong+k7KHtEGSvNtaIWXwvMskKVMMkjwMS8tJKlyCSDbxiyODwD51/YZqvEHFUfi5W3/wDNe4VAcJsEE+qDBh1RsGlk+CYkpWpIlrZkKV6AP0xNSmNZKWAzyL6vQRGiOX5a+eJ/yswVOKOMIcsob/7i9xVhJTJ2Yc/mH9UH+Lp21/JXiPBtX6o0SR4r0uWAvSZs2/jJ/XE/Icd6JLWvQZ5RHctAi6OW5T24r/KzK+LONf1clb/7i9xjopc+dRJv/wCLV+qANLnzp5E9/izG6fKGoX/QFQ/no/XHfKIoI0/B+f8A5yP1w/wZk/8AbP8AKxPys44/6I//ACxML+Kp63+83/8AFmA+K5/nJv8A+LV+qNyV0iqF/wDd6f8A57cIudImg20w/UP5zcOspyZ/1z/KxHxfxsueSv8A8kfcef8AEtPm2qHNuuSzqUpSm5KCPpDvEZuNo9OcTeNlIxHgKtUWXo08y5OS4bS4taCkdtJ1sfCPMh3j6DwphsLhcLOOEq9YtXO1rOy2Pi/SPmea5pmFKrm2F8nmoWUdSldXe916bo6Nt6MCb1itd3kzf9eMSjcui+keX1pdhfqW0/0r/oj1J82r/wBGzey3Z1xwDVtCj4302iHrBzIbUpIScm/he36IsSghvMnKHCW1FR58hpb0xDVSWDoWygklohVuYSQPsv74sg7M50HuVRTjyV9RLrQnrVAFS03API2PdFbx5Sm6zhtUi2Vuulanm+z2iQSDcDkTbfvi4NSyG30zT9ktpUFnMbBVjc27+7TvEVqcqTTIUk+UIcWyqXUWyO0CD3i/dz5Rpcdasb6L85SRXcO03yZmRp8qgLW5kDot519Sd9NI9L8LsOsy0wZ1thKk5ArIBmsRexNhHnfg/Kz1bqCXH3XGkskhSza2lr294j1nh+n4raErT8I1ZilSSpVT61lkOLmXtgm6thYDa28fGc2n1daVP0s97gKXWq5pdDmmpYNoSU3Ue0oaa91vZ7Im5hxDuXPqbaa6XvGdYGqM9OyDlOxFLyktVmwDMtsLCltqUNAog6Gwvr4xa5eoLQEtvaFFgk81Rx1Lc1ypNMczr62HOqShNwAd9dYpuLcROUiWu02VOvKCEq5C/PxtFomg7MOhxV8twbg8oNPUSn1OWAdYS6EgGxOv9kNbtLkvNPOmKJjFM1h+q1DDraJKcb/FTcwwHHppwnXIFKAQkJ1zK1vsnnEHwmka06iVqWIZgOzGcodSQCtfaIufG8b5XOHhelVIkZhYQL2ZUnT284q1KwsnCkylc9LuF+adATpcC+w30jZCtanpRQqN56nyPJ/HTDlVw5jSZVUJRTappGdtzJ2Ft9YspsrYkXsfH0iM+bmVA2UCLR9D+JfDuh8SMJOUWrsp69ILko6AA4w4Ba6T48xz5x8/MYYcqWD67N4fqqQH5VeUlPmqHJQ8CNY+tcJ5vTx2FWHe04nAxmF6io+5isnNFxxLaVJzrISkE6XO0W2rSExhXElWwvOvpcmaVOOyTq0HsFTaylRT6wYrPDBlue4k4Sk320raertPaWhQBSpKppsEEHcEcotPGGZSOMeO1tKBSrE1UtY7WmnBaPRzlet1fZa/tSObUpklTKuHD1RWByA9EW2n1BTjYBIy3tpGVU2ds4FE2HK28XSi1G7IQrztL/riirSscyvR3NElJxPVgBUSzMwlRF1DXaKXIzfZJvzETktM6A6G+voMYpwOdOFixoeIF4h8eLM3getygBPXyTrZA3NxaHDcxmSLqOogs0kTEo9Lnth1OUgi8UabMritMkzEaPgp0nrVtkpJvZadhbaLxIYVbbCepQL2AuU6eEW+mUSXBT18sLnS50/bceyJYUYoULNebodLaeiK5SuzVUxcp9pVZPDyEXCUXUdLXjPukbJmUwdQLtKCVVV1RJHcydLxujEqkKyqZvYgaCMj6VKQ1gzDKVCyVVaaUQe4Mf2++MldtwZZl9VyxMUUroo41k8I8UwxPKZQxX5Fch1qrAocSrOgDvKikCPcVPqbU091d1FVsgVe17Xuf27o+WYmJiUMvMyjym3WD1ja0mxQsagjx8Y958MeJMviyi0ysy6kJ6xhIdF7FLgFlA+kg+2PLQdpNHsH2Gt12iCZdLRSFpdFrEE6RCSHB/CwcDpoMspebMpRTY95+2LRJVMzLjbiykpKeybbxYJd1JQCSD384uvbY1RbtsQ0nhyVprYSxLpbSnQBKYfMy6WgpdokJlaCkm9gf2/V74hHKoC4thm6glJJUUm0BiO99xvUHHELUE7jb0RGMVdzqLrWA8rzhDSs4ibazJL6MxNtDaIdqazuqcWrKq1wTyHohGKizCcccl1BSAXSCpQB1tHivpgcSGsR40lcGUucLknQU5nwhfZL67HLbvSn2ZjHo7irxKkeHWB5ytTk42JlxCmJNkCy3nSLpI8L7x89Z2bnKhNvVGoPqemplxTzzit1rUbqPtiOWleliSdwpczEDmYTUpdstxHDw3jjre51ihAYXPksTrBUbXIvflAOA5vCOCVchp3RBTSrwQ+dAFwDWCF4XiqfI9WnZnK2tBFbwCnUwHWJVqIxzNcJIGOuILnjgsXuYqsPdHHeAjioXgCoQQNoNBI7rAdoIpR5wUhW0CQSNO+AGkcFWEAFC9otiUSasDa5gcuscALHWB2EWIpZxAB1gYLcK9UCItQjBhdnzYQJhdk9j1xxc+/Rl6z3/Rx/6rL9x/ahdFocNi9tImuHOBq5xNxzQ+H+G2wupV6dRJsFXmozec4r+KhIUs87JMfXDhj0COjlgGgy8jWMGSuK6oltPlVSrCS6XnLDMUtE9W2m97AC4G6lHU+awmW1cddw2S7WfS+IuN8Bwq4066c6kldRjbl3tvkfHxJA3MKpvoY+0tV6HPRgrMm5JO8HMOspWkjPJNqlnB6FtKSoeox4D6ZvQ4a6PxlMbYHnJqdwhUpjyRbUyoLfp0wUlSEFQsVtqCV5VEXBSAokkEnG5LXwtN1bppc7E4Z6UMqz7FxwLhKlUl8XVazfddPn6zyzHQGYco7N3RxD6nqQVZhJZhRRBFoRWbQ0TJVkcnU6wqkC+ghIbwqiGk7C0t2KJEGsYAbRsHArot8V+Ps22rClJ8ioiXQ3NVueCkSjQBGYI0u6sA3yo/wikaxKVGpXkoUldgzDMsHlOHeJxtRQgu1u3h3v0Lcx5Q5wF7euNn6VHAFjo68QpPBMpXHqwxNUeWqAmnG0tqU4rMh3sC+VPWNqKRckJUASogk1vgLwSxFx/wCJEjw+w7MtyfWtrmp6ecbK0ScqggLcKRbMbqSlKbi6lAXAuRY8LVVbye3nXtYxRz/ATyxZwp2oadWp7bern6Lc7md3v6o7N3R6J6ZPRqwp0aqphKj4br9WqrtZkX5iddni0E9Y2tCR1aUIBSk5jooqO2sWzol9BM8esJt8Ssa4omqNhuZffZkpeQbQZqc6pZbW5nWClpIcSpOqFFRSrzQAVaI5bXlXeHS85czj1uNsooZXDOKlRqjPaOzu3e2y59j+g8k3JgIk8T0xii4kq1GlVOKYkJ5+WbU4QVlKHFJBJAAvYa2AiMuIxNOLsz09OoqsFNcnudBTvBiPTBTADLkEVprCattN4VVrG29FTovVjpNYtqFMZrQo1DobLT9Unwz1rgLilBtptNwCpQQs3JskJuQbgHRh6M681Tpq7Zxs2zLC5RhZ4zGS004839nrbMOQkkXhZCDGwdKrg3hzgRxhneHWFqlUp6QlJKVmA9UFtqeK3G8yrltCE2vsLesxtvDLoBt1fgTP8aOIeKZyTcew6/XKVSqehCVBAYU6yt51YVcLSEkoSkEA+dfQXRwGIq1ZUoLePM51bizKcBgaGPxFRqFa2jbd39H29x42y6bQVSOdoc9WbbQVSDHP1Hs3S2Gikix0husabQ9Wi28NnBF0Wc7EU7ETXx/5kmv5A/rCKBGg4hH/AJjm/wCQP6wjPo+ucA/oNT97+CPyr03q2cYf/DX/ANpHRuPRjVlnK0SCR1be3pMYdG69GIDPXCRuqXT6srn9ke6Z8Rr/ANGz0Mh9lTyUobJKlpJOnmg7AeqI1+TU3Ouq6zslClBRvrpz593sjgVJWF5wgg2vmtbW0JVRWVPUI7JIIVdVyq/O/dyh1GzOZFWlYqNaWH12QFdWkdWkWsbWJJ02ubxU5sFtee40uRcakjXXui4Tac3WFdxe/pvFaqMshSHLpspXYB/jEabRupux0KLSLHhbClYwnXJnDZbDzzLcvMh1lV0ZJmXbmUXPI5HwCO+PS2AnZhuisUeacWlfVrT1iDZaUrB9toqknKYenMTVSuYcbmBJ1NxmYR5QkZuyw22LC1wnsdkHW1gdrRZXJF1thDjL62VoN0rQq3qj4jnNaNTFza7z6FlycKcbk/RcHTGA603VqDS2TJ1OXUifWTc9YbWWoHcmx7W/tgZupJE0EqSQtSlAW5RGM8RsR0uUbpnxIKg7ohl8r5HZSr7WGt4aYvqDXWsuqVlU6Bny/RIAufRHLp+czoTskTUziOYl5ZDLVlWNhbW/OGtNx24olLlwCd9LEaRHYVXSZ6eQaqvrJeTGdbZNwvMeyLcxvp6IseNK1TJubw7S6bJMhiaqaG3R1SU/N5FKUNP5PvMWtq9ilSsTNKxAxPMEPZ0kG4J0Fop3FuWffo7MzS5sszDbqXW3LXFx325HSLNjCtrlqTNuJWyhtllSmglsDLYaDSAq78s7hSTM40HXzKtKXfzc5QCdPSTFtN2kLKdouxgE9WeILci7VlcQWs5Rll5V1hsNKWDoM6RmG43MeV+IVYrdexG7UsQPNuzbiEi6CLKSNjceuNk46TuI6vP0+m4dllySJQqfnHVC7LiL2R/KtYmw79YxbGbNS8rYnKmoKdm2utuAEkakWKR5psAbDTWPo3B6p08S07XaOBi6k5tOXIkuDbapji9gWXaQpal4mpYASLn/AH03+iLh0lm2JXpCcQpaUQhplOIZs5UCwCiu6vXmJhp0TW+u6SPDtASDavS6tRfRNyfsi49MrhtXsE8d6zP1FRd/C+YmK3JtobJUlpUw43lNiSo2bzXsNFCPa1KkY4+MW+cH9v4GKa3RkkmewCD7DFporqibhew1HfFGYmC2S3c6GxixUqcyJIzEKOtxGqpG6uYa0G0aHTXjm30BizSS05SFHnpFCptQshJK7nvixSU8rMMyo59SDZy6sNy2IeTa19oe05YXMJbB0VFV+MQDa+8TdAmOsnmUqO5jPONkzNOOxb2ZdHnXINofSwKgUKGYKFtddIaNE9kDa2sOmMyCVaBIOnjHOclcxN7hxLp1QlAFzzHOMR6WTYThLCoJ2qMyPC6mwP0RufWpSnrFtLIRr2SNe71xi/SndlpjCOHGVONh1U64ttAPatbUn3RVWsoM6WV/pSPKz0oSgHMLjWL5whxw3hyomhVadeap00oKQtB0ac5E+EVF9ACTpyiPdQAoEctRHkpysz3sYpo97YZ4mPS0i2xVWgsgWamEqulaOR98X+hY4pbyesRV5bKNVAuC/ojx7wM4jyjiPwOxM8CFKSZRx0XB/ik+yN6p3C3CFXm0vNyS5B4q1CFFKCT4XiyNTWrDtxjzNSxHj+kSrKclUZQs2uEkGw5xW3MR1evI8iw1KFeaxceKewSeYMPKDwYwlTnFPvtvTanb50vLug+r2xepSQlKXKJlpJpuXZaFghNki3KGd7CXj2GdJwnUJaz1de69aholKtjcQerPyFBpi6rV5hMrKy7ZW44dQE253/bWJvFGIqTSpRdTqUy1LSzKSFLWrsjQ3PujxJx0451DiNPOUChTC5fDzBAuBZU0QfOV/F7hAvpV2B7lV40cSqhxQxe5UOtWmlSWZinsEmyWwfOI71HWKKW9LHUwuloJGXe0FdFlGKm3J3YkopDYtkHa0B1Z5wuU3F4Kb31gNgcRAIJJtHdWrkIW2NoEEDnAF0l1IJ3gqgYOpMFI2hZK6PQqTEinTxgtj3QqdLkwAB8IyTW5fCYna0dByL3gCO6K7FmoLHQOUx1u8w1gOW4W0FOhtChtygDbeIkBzC2jrd8CT3QB1ixFbkDl7oGCi0cRbnDrYqbZxCjA3sIKd44HnaLEK2HvpaFmQVIuBvDe94kpFCVS6T6Y4nEEtOFXrPonRlT67N5x/uP7Uelfg5qdJz3Ssw27OIQpclI1KYl83JzyZaLjxyrX7Y9bfCjYpxJQeEmGKRQ6pOyErV62pue8meU2H0NsLUlpZSRmSVHNlOhKAbaCPnxwN4nzXBXizhnifKSi5v4jm1LmJVC8pmJZxtTTyAdBm6txRTfTMEk7R9ecP8dejNxxwtKqVjLB1Wk5s9YKVW1sIfbcQT58rMWWlQINiU2I1SSCDGDLJQxODlh4y0y95r47w+IyXiahnFWi6tFJeq6vs9mk9090fIfg7xbxbwf4g0THFBqtSQinz7D0/Jy82ppM/KJcSXpZY1SUrQFJ7QNiQoC4EejukJ8IK1x14XVjhgng4KU3VlS601FyvdcthTT7boIaEunNfq8vnjzjvtHsPjV0L+CPF7CT6MPYVo2Gq4lhS6ZVqPKol0JWbKT1qGrIebJABuLhJOVSSbx8iKzTZ/D9WnaDV5VctP06YclZllfnNOtqKVpPiFAj1RgxnluWQdHUnCV/53PX8NS4Z48xSzJUXDEUNLte3J3i/Nspb9/q5DOx7oBV44u25QGdR5RwLH128eSYQ3G8JLJvtDgoJ3EcGbw2pIplSlN7CCL7d8WjAXDvG/EyutYbwDhmdrdTdFwxLN3CB9ZazZDaeWZZCfGIAS+se9vg3uPeCcI0rEfC/HdUoNBUlfxvTqpOKYkxMNEpQ7LuvKCc60KKVozqUopcWBZLYA2YCjSxddUqkrI8zxbmmO4dyqeOwdHrJKytvtftaW7s7bIuvR++Dcwxhgy2JuOM4ziKo6OCiSxPxeyQbjrVaKmP5Nko1IIWNY3LjN0muC3Ruo7dHqc2yuoy8ulEhhyktpLyUJACElIshhsAjVWXQHKFEWjRqDxO4Z4vnPizCvELDNYnFIKvJ6fVmJh3KNzlbWTbbWPKvSe+D+wli6lVbHnCNM1TMVAuzz9PcmFvy9UWSVLSC4Spp0/Rscl+yUi+ZPsKlF4LDtYCKv7fxPzfhMzhxPnMHxdXnGDeyStFX7P7se9pN977TwNxw4xYk46cRKjxCxKy3LPTYSxLSjK1KblJZF+raSVam1ySbDMpSjZN7D038FW02rinjR5SB1iKA0Eq5gGYTce4eyPGDkmpC1IcCkKSSlSVCxBGhBHKPa/wWTIa4n408aCz/pAjy2U1pVcwjObu23fwZ9+6Q8up5fwbWoYaOmnCMEku7VGwf4V7N+GuAbf9GTv+dbj2F0PWm2ujDw6Q2gIBojayALdoqUSfWSTHkj4VFkOY0wGbXtTJwf8Aaoj150Rhl6MvDxPdQ2vtMehwcv8AiddehfwPjPElJx4Hyqp2OU/4nxrx7cY7xHp/6XnP88qIuQp8/VJtmnUuRfnZuZWG2JdhpTjrqzslCUglRPIAXiwY9lR+HWIu741nP88uPoP8GtwIo1IwG9xwrdOZfrVbmH5WkOrAX5LItKLa1IBHYccdS6CQT2EIta6gfNYPCPMMS6UXZb3Z9z4l4ghwhkkMdUjqk1GMY97a+xK7Z40k+hz0najKtTkvwcroadTmSHA20u3ihawoHwIhf5F3Sj/vOVgDfV1j7yPolxE6fPAbhti+o4Kqn4QVCepLqpebcp0ghbLbyTZTeZbiLlJ0JAIvz0MbPwz4iYf4s4DpXELC7c23TKy0t2XTNtht0BLikHMkEgaoPPa0dunkuBqtwhVba52a9x8pxvSfxVgKMMTicFGFOfxXKM0ntdWerfbc+D9Tp89SajN0qpS6mJuSfXLzDSt23EKKVJNuYIIj6UfBRy7I4XY2mUtpDq8QobUu2qkplWyB6AVK9pj5+8Vmb8UcYn/+P1D/AElyPoP8FQnJwqxoP/xKP9EZjDkqUcc4rsTPWdKLnV4VVaX6zg/Hc8z/AAjykjpN1y6rWpMif+xj6Y8QGWmOj1iNhlCW2m8HTaEpSLBKRJKAAEfMv4SRsq6TVbIP/omSH/Yx9NuJH/B7xR/7nTv+hrjr4BLr8T6/efOuK5P4KyJNcoL/AEHxBSUW84e2HlJodXxFUWaRh+lTlTnpg5WZWUYU864e5KEAqPqEV8hxNxntyj6zfB4cFqBgXgjS+Iz0klzEeNGjPPzbrYztSZWQwy2fooKUpcNvOUvW4CQPNZfljx1XQnZLmfceMuOYcKYBV3S1Tk7RV7b979C9ux4JZ6HHScnGETLPB2uZVjMkLLSFW8UqWCPWIqXEfgDxh4T0qWrXEbAk9QpGcmRKsPzC2yFvFKlZRkUT5qVHblH004i/CJdHbh5XahhtczX6/O0x9yWmRSJBK20vIUUqQHHnG0qsQRdJKfGPCHTA6X050lqlTKbQ6FMUXC9DUt6Wl5paVzEw+oZS67lJSmybpSkFVsyiSbgJ6GLwGBw1N9XUbkuzb3HjuH+LuKs7xlNYvBxp0Hu5WktrbWvLdv1HmTEX/wBCTYP1B/WEZ3F9xC6v4nmQRuB/WEUEaR9B4AVsDU/e/gj5R03zU85oNfN/6pAx6v6BOB6Rj6q4upFWnahKBmWlplDsnK9eu4WpJFuQIX7hHlCPQ3RGxViHC07iB/DtXmae88iXDi2FlJWlJUQk23F7G3hHta8ZTg4wdmfFJyUItyV0e9ah0dcAzCKwmVmsQS6ZxUuadekKcMkEj5y9z285te9rW0htQejTg7IV4qqmJagNAymVpipcIHPMSVE300FueusZdWeN3ER+XqssutzCG6s8zMOlpa0qStKSMrdj2QQUggb5R433Lo34U4jM093EGJKpVGpKdbQJaQfcXbS9nTm1FwbAd2/K3JxMq+DpOdSp+JMPGGImowgUik9EzD0rXZZ+s4jxHUaew6h1coKF1an0JWFdWpXWaJUAQTbnCr3RD4czkt5JJz1faqBqr06XX5VLAalFpIbYykqBCDbUWJ12vHpN/AEo/Myk7ITk1ITEg4h1Djcwv5wBVyhwE9tPgbxIPUhqWSVqSFLI7azc3Pebxxa2eVpR8yTudelgIwd2jyJLYHqnD+qfg9iNgNuoQfJZpA+ammgTZaT37XTuItaaY3MMJbAPVpF/G/6Y2rGGHqRi2kKp1WZAUhQ6h3NZTLnJQJ7rn1Rky5Gdok25R6iQJhggA8nEclg90eNxtKTl1se3melwddSWh80V2py7Uu4nqgbkXB5xRcRLS5MmbceWA2mwbVsbcwPSRFzxLOuS76rABKVHW20ULEMzL5S+4oLCgFZSb3jLS2NVR35CGEKk4qsTYRnczJbGTnoVae+Lkmmz9Qq9NnLEtSLi312OlurUkD03UNPTFIwtMMoq8zPISkSzrTYSEqvlsTca8zeNcps4xLUzQBBtewHv0iyXxriR5EBXpCr1iVekUEIcfTlAJ7IBOpJ9F4SxHMT65XydLpKEFLYsTrcgCJxnEEihtx95JURohOWxOkR0/U2Gab18xLZusXZtO/aBvt6YaD3QstlYzLj1O0+nYbbdptEbmZqUUltptCQCtOxveGWFsGUrEGDvizE+B2aiJnK4XVNBKgT2gnP5wKTtbTnCfFtx6SbpgmlZ1l4F4A/iyq9gofriIo3EGvVPEslQ8NO9bI01ktzqm3MvWukp0BI12N47lOtVo0IypuzMCjGpUcWeguCPBnhaxxAleJchw5qDldwtKSjEmKStKJNqzLjIcW0paQpzJpm1uUhW+p1avYMoOJeN+GeK1Uw9WzWcN0abk5alL8jPXNuqy9fYvZuwHFp7rrGxAjzngbF2Iqd0ueGlKp9TmJem1uTn5WelEuXYfyyzy9QNCUkIIPKKn0iulfMYI6VMrj/hq1KVFzD+HncOTcvOFSpdT5mHy6khCgbpUWzvukDaPWYHD4rHKDUrtwbvf17HHrx01WkTGNui7wlrNX4lY0mcZzVMU5UrtoSZJLFCmXHs623h1/bKyVISOzYXtcxm0vwD4cygIHHqkrSlNzZqVB90yY831nE1br1SrFUnp93rK7Orn55pDig068XFLBUm9lZStVr3tc95htJvhKgkpAAOlo9nQwGIpxtKqyiVNtGhSc421MFpl4uNlZCVkBJIvobC+++5iwMzwQkJC0n1xn8tPqSgG+qdBElJz5uCVXtz741SpPkYqlG5oMpOBYCiba7GLPhV9CquyM11EED2RnUnPEpBuTFwwHMtvV+XS4opHaJPPYxjqwsmc+tC0WzWEqUkpbR52qYcpWR2VWJ20Ol+6E2mytd0NZyNDa5ubRmnFPjTSOHLq6TTG26piBKgh2VWVJRKjKCFLtzNxoDHCnKMVdswUcPPES0xRKcReNmEuGk18U1Bp+pVUoCzIMdnI2fNUtZFh6N4834+4kVXifiA16pSbckxKy/k8nKtrzBlIJNydLqN9TbwioV2v1bEtTmK9WZpUzPzagp9xQtb6oA5ACOlAQhRSNI4uLxcpPTHketweBp4ZarbgLmAoagXMM3iDrCpBuRlgq2C4g3SoERy3E6iqNCCJpxspcaWUKSbhQOojVMCdIzF+Fm2pCqZqnKtEAOOLJdQnlYne0ZUGNNAfZBksqCtEnaF9QdbfM9q4Q6XeDZ5CZaoT78mtKdeuasm/gob8+X64Qxr0ysIyUo9LYfl36nNIICAEZW1nndZOgHojxmGXE2sg6woiSI7Qvcw6kxdRcOIvGPGPEl8CrzRl5FJJbk2VENp9P1v7eUU7NuctvXBxKKBBtfSDdUrbLr6Im73ZNb7BDrLnQQRztW0hz1BGuQ+yBEsom59loOwusaq80QkskbCHxl1WuEXAFr25wipoaEC5PcNoWyDrELm1wLi0FCbnUWh0hpQBSlOh11gBLqV5qfaRBsgOdi4dWowGQ84cWEcAIpluj0aQ2LZPKAyEaWhwvfQQSM0y2CEC2oHb3wBQYXVBDvFZZpE8hgpT4QqdoJ64KYLCZBG4gLX0g6td4KdDBvcVhCmx0EBB94Ja0MhGcRBTBoKd4ZFbBB5wGYiOGogDFq5iBirwiUkNZdPr+2Im3jErTheTSrmSftjicR/oq9aPpfRZvnM/wBx/bEdDNygxSFjtAH0i8ALcoOm1jcR4hNrkfobSpKzPdvRd6fPDPgnwToPDbGmGsaVGpUhc2nr5CXlHJfqnJhxxtKVOzKFdlCwLFItY20tHkTi9iymY/4pYrxzRZWZl5Cv1ibqMs1MpSl5DbrqlgLCVKSFa62JHjH1B6EXD3g/M9GfDU9SKDRam9W5NRr78xLNvOOzlyHmXSoE2QSUBJ0ygG3aufmhx9peC6FxpxjSOHrjS8OylWeakOpXnbSgHtIQq5ulK8yUm+wEdzNIV4YSk6kk12eB8m4BxOU1+IMcsFQnCe93J3T8/fay0u/JXexauin0cZ3pH8RF4bcnXafQ6SwmdrM80i7jbRVlQ00SCkOuG9s2gSharKy5Tc+m7wc4P8CMTYbwBw3p1TTUzTPL6pNzk/1/WpWsoaBTYBK7tuKVYJFimwj0R8FPISaeH2PasFJ8rfrsvKODS/VNyyVoP855z2R5p+ECTVEdKnFqp9EwlhbNOVJF0EJUz5EyCW76FPWBwafSCud4SthaeHyyNW15SfPuNWW57jM348q4CVVxoUIytBOyk1ZNvv3d/oR54CQd/TGlzPR24vSvDOlcXkYLnJvDNWacebmZRBdXLtoWpPWPNgZkIVlKkrtlKSk3FwIzNK7HflpaPqB0J+ljwqq/CvC/CjF+Jafh/FNCZZojEtPOBpqoJByS6mXFdha1pyJLd8+e9gQUk4cswlHGzlTqys7bes9XxzxHmfDWGo4zLqKqxUvP2e0bejl690u4+YgcatfrEHxzQcONiwDqNNdxH3exHNYBwnSJjEmLpig0amSpSZmfqSmZdhrMoJTnccslN1KSBc6lQG5il/u7dFf+/Fws/wAv077yOpPhqMXvWt9H4nhKHTjVrRvTy1yXom3/AKD4tMTIZfbmZd7q3mVZ23G1ZVoV3hQ1B8RH2E6FeK+IGMujzh2q8R0zjtRQXpeXm51Kg9PSaF2YfWVaqJTYZz54SF3Oa8WE8deizv8AuxcLd+WIKf8AeRUMe9Ofo2cP3ZSVTjdGIlzDqGynDrYnkMNk6urcSoN5U7kJUVn6KVRvy7BU8qbnOsmn2cl9p5HjHirG9INKlhcNlko1Iu+pXlK1uW0FZd/qR84OlHgmocP+PeNKVU5N2WanqxN1SQU40UJdlZh1TqC3yUlIXkuOaCNCCI9GfBd0aqnGeM8TJpswKV8VsyQnS2Qyp/rsxbSvYqCRcgG4BF7XEeuJHpNdF/E8kzUF8ZcCdW4ApKKlVJeVdTcc2pgpWk+BAMRuMOmB0aMA0Zyea4n0GqhpJ6qTw/MNz7rquSUhklKSe9akp7yIroZXh8JinjOtVt3bbt9NzdmvHub5/kK4aWXy6xqEXLzm3pa/V07N279jyt8KJNS68dYJlEupU+3SZl1SL9pKVPJCVEdxKFewx646Iz7Mz0aOH65Z1LiU0hLZKCCApK1JUm/eFAg9xBj5VdIDjXV+PHEufx/VZUSjTiEykhKA5vJpRsnq281hmN1KUT9ZaraWjfuhL0zqDwepK+FHFAzDOGlTLkzS6owyp74vcdWVOtOoQCotKWVLCkglKlquLG6cmBzGi8yq1JO0ZbJ+qx3uLODczXBGAwdKGqrh25Sit35127d+m+9voPNXFejVLDfEjE9Ir1PfkJ1iqzJcZmGyhYSp1RSqx3SoEEK2III0j6qdBllbHRVwIl1pSMzE44kKFrpXOvqSfQQQR3gxYEdInovVdtudmONHDhSiLjyuuSbbnrS4sKT6CBFcxl02+jLgRyRkV8R5CqJmnUtKXQkGoNSzfNxamMwyjQWTmXqLJOtujgcBRy2rKs6qal6u88dxbxZmfHGAw+VxwEozpO7a1SvaLXLTt4s+XfH2jVXD/GvG9Pr8hMSM25X56YQ1MJKFrbdmFqbWAd0qSQUkaEHSPq50QaDWsMdGvA1GxDTZinz7NPW49LTDZQ62HHnHE5knVJKVpNjqL6w7l+kl0Yqu03UlcaeH1yMyPKq1KsvJ9KHVBaT4WvFHxX0/+jXhbEklh5GK5qrtTKymZqNKk1TMnJC2inFggrH/AOSlwjmBBwWEw+XVZ1pVU9QnE3EWccbYDD5ZTwEouhu2lJ3tG3LSrerc+YXGukVPD/FzGNNrtPmJCbTXJ1wszLZbXkW+tSFgHdKkkFKhoQQQSI+gPwXlFqtN4O4jqs9T5iWlKtiAvSLrrZQmZbTLspU42T56MwUnMNMyVDcGN0a6RvRerbCJx7jRw7VmAKROVuTadT4FDigpPoIin8UunJ0euGdAfmKHjCnYtqaW1CSp1CfTMIdXbQKeRdptN7XJJNr2So6RVhsBQy+tLFSqprf2/Sa8+4vzbjDK6eQUsvlGacbtXfxfRpVvS23Y8J/CNvMvdJnECG3EqU1TZFCwDcpV5ODY+NlA+sR9N8Wy72I+AtYk6Ejy52p4Sfbk0MHMZhTkmQgItvmuLd9xHxX4hY6rfEvG1Zx5iV1DtTrk0uamMgIQi+iUIBJIQlISlIJvZIEe5+hv07MEUTBNK4S8Z6mqjv0JhElSq0toqlX5VGjTLxQCWloQAkKUMikpF1BWhzZXjqMsTWU3ZTe3tO9x3wrmVDJMtlh4dZLDRUZqKv2R325q6sfPWelX6bOPSE8yuWmpZZbeZeSUONLSbFKknVKgdwdY+1nRPmpeodF7hk5JvIcQnCsgwVJIIDiGUoWPSFJUD4iFj0gOizOnyl7jRwxcUvcvYgkAv1hTlx64eS/SO6Ncu0JeX48cNmm06JQjE8gkD0AOR0cuwFPASlLrE7nieNOLcXxfQo0ng5U3Tbd93e6S5aVY+LPEXAmKOG2LKhhHG1GmKVU5N9xC2n2ykLSFEBxskDO2d0rGhBBEVgBKjZCkn0G8fcmZ6Q3RjmiPK+OXDJ623WYlkFW9rkeRvhG+JHBnGfCXDlP4b47wZXagziRt59iiVSVmXUM+SzAK1JZUSE5ikXOlyO8RysXlEKMJVoVL23t/LPoPDvSNiszxdDLq+CcXJqLld2Xps48vRc+buIkD4mmtPog+8Rn0aJiTSiTf8gf1hGdx7zgDfA1P3v4I+b9OMdOdUP8AD/1SOj1D0FOGlY4oYrrlGpbzMu1Ly7b8xMO3PVpzWFkjzibx5ej3R8FZNrlsa44S0UhS6XLgkm1h1sevzGvLDYadWHNHxmjSjWmoS5M90YJ4A8NOHqWp+ak0VCpISEmcnTnUCB9BHmpHqv4xoCcRURKQywVKCLCwGnshg5V6W0MtQYDwUdCtOYad0N3ZrCVScSOpDShqLXSd4+eV8TVxLvVk2zvU6UKCtBWLDL1SSfIDCtToQo2Igzr7ZTnIBF7E7+2K8aM5LjrZB5QTuP4w8YOmpPsrSh9tSSOR2MUxVyxSOrdPcCVvSdl5TmCDbX2xQcWUmSrdNXMtkMzzAK2gdFJPNJ8I0Fb9l2YJczGxF9oquJqQxU0KmaWrJOpGVbY2ctyPjrB0J7MVScXePM89Vedl6gh9gOATksrq5lg+cgnUC3iLEHmIy3F88JPPLLbATYm6xpvFs6T+FcQTlCVxEwDMOSOJcNJCZyXbTcTkmNVNuJ+kUWzJ3Ngoc9PLE90gEV2Tblq5TvJpi1y7L3KFeOUm42vbWMVXASj59Pdd3cbqWNjU2lzN44LOqrs9WpGbcBSylhbHPKDmB9dxGsMS/kgMsZkFCrWJO47o8gcKOMtLouM2GnJkBmqWl3VleWy83YPt0/wo9d0ObnK80lMnJuvupN7BOo5egbRnqUpwdmjZGcZRumPEyawrKAlWU3KraXMIzrYSoB5TKur1BGpvvYCLhQ8G1afeyvStNkWty7OTKtbcsqB9sRWNMMKotOnJx5xp4sFFzK515gpVrp7N7AEk35d8GNKfOxTKtDvMUxhKM1RuYStBbZ65KEFSb3cve57zeIThdwzdbrNVxFPTLo6yZswhCsqRb6RtvEliDElGlZpumsz7DxL1sqVC6e82OsaLhgJlKSw31ecu2urntzjpVJONKMbFNKKlVc0QFNm2KN0leD88GQ5MmuvSiUnYNPyzjS1eorSRHjDissucVcaOEefiOpq275pyPTaq+Kh0yOGkiysFNMnW3QDqA4rMr/uiPJWIKhM1bENVqs4vNMTs8/Muna61uKUo+0x9S4YoOlShKXbBfazkVnqqtoYiOCsqgbXtrHQFtbx61CD9E8VBItbXUxKSkzmy9q/IRXfXD2Rmw2Qg30MJJXK5wTReZCcUpvzrZRa0PTiyo4Xknq7SktLmpbJkDoJT2lBJv6iYq0pNG2a5F+Qg9emr4amswBCi3oefzg/2xixEUoNmJ0lKSTHdQ45cTaosrNbapyVKuBJN9WUjlqbmKPV3Jyqzj9XqU47NzcyoLffdVmWsgWuTEc88vMVqWd9PCDybynQUuK0taPm1evKbtc6lKjCC81WEAg6C1xExT5VUwEto0v2Yj1FDSu0RaJajT7LLyC55oUL23tGKUtzQh21ht9arFIF7fSGsPm8ITTqShFiD47xZqWqWm1oyFRSsZkjLaw5H2ROyqE9bdIASN7bG+lv0wHNsmxnrfD2qOLBZaSUFII7UH/c/quYJTLpuo2BKhGuMBkkICggn3wo8lt9KkJFiQQP1xXqdyGQpwFVc5IZTlTpooQqnAVUyE9QEknS/ONZbZbPIai1xy05QV0NpBSLZRre3t+yDraJsZIrA9TzpbWwEk7HMAIVTgOcuAothXnHXlGoONIUs5hYg6aXvaEnmGbJyL20FobW+QLGbfgPMFOfrUDuFv1wVGAZnLo4geHMxoy8jnnBIIFvAnWAWEMtA5gb62J18ImpksjNVYEmggqS+nU2A8YTXgSfSLqt2vC0aT8zlCrAZe0B33gjoQoDq3NeZ5ftvE1MFu4y38EJ1pV1BKUbE6wo3g+eSLFLRPPW0aI6yktqum4Kb35c/bCL7aiElOUnmTprE1gsUY7QGwgvWpHO8AXAecJLlsenuCSbwUkiAKwbwQqtzEZJl0LAkmCxxULQUqB0iotOJO0AbxxIgileEQGx2vfHEXgM3hHZoZMraCqNtILr3wKjreCi5N4dMQEG8FO8CSQqC8yYdMVo4kiAJvAqHfHZdNItT3KmrAXN4lqcf7kSnuJ+2IgC6gPGJaQ0lwB3n7Y4nETvhV6z6R0WbZxP9x/bEdiw5wYGEgSNBBgo8zHibH6FUyWpOJcRUOTqNPo1fqMhK1doMVBiVm3GW5xsAgIeSkgOJspQsoEdo95hhnJ10vCOaOzeERyb5hpxp025Qik3z9PrPYvwbXG+k8O+J9T4c4nqLUlTccNsIkn3SEoTUmSoNNlR0T1qHFpF91pbSNVR7c6SXRIwH0kWpKoVefmqNiCnNGXlqrKtpcJZKirqnUKsFouVEaggqNjqQfjBe4IOoMesujl0oOmrVqixgbhpMu48EjLf70q8miYEu0NQt2bJbcGxSC66RsByEegy7MKTo+SYiLkuy258f4y4Px9HM3xHk1eNKf62qWlJ8r3e265pmvn4KJkap43LI5XoH/wD3i1cMvgzcOYIxxRcYYi4nzlbYoc8xUWZJmmiVDjzKwtvO51qzlC0pJAAva1xFHlemj03pziGvhOxwWw6vFbQUpynGmTSVIbG7qlmZyBrazhVkN02UbiKpxd6d/TDwHVJnAuLsJ4ewbWktpczt0xTjnVqHZcaU664y4k2IzAKTdKhuCI0f8Lof7Xq3s+58/E4rXHuaf7g8ZTfWR5KdO7i+3zVqs+9Hor4R3iVh7C3AWZwFNTCXKxi+Zl2ZWXSpOdDTD7b7jyhe+QdWlFx9JxPiR8p89tlGJfG+PsX8R8QzGK8cYhnazVZrRcxNOZiE3JCEgdlCASbISAkX0AiBuY4eZ4t46v1iVktkfV+B+G1wnlawcpapyblJ9l2krL0JJfaL5yNjAlzvhvmMCFkRztJ7JVRx1p5EiO609+kN85js5iaRuuHHWG+8d1msNyox2cwNJOuHPXK74DrTrrvDfPeAKjE0C9chwV35wXP4QjmPfHBVucFRB1qFi53mClzfWEivxjs5MNpEdUU6zuMBnsNzCZUBAZvRE0iuoHKydzAE8wdYKVaQXNDIqlJMPmPeYC5Ol7wQq8YKT3Q25U5IYYl1ok1/IH2iM7jQcRqPxLNfyB/WEZ9H1rgD9BqfvfwR+WunJ3zqh/h/6pHR7b+DBrjFExhjRyYpZnQ5TWAlIIFiHd48Rk+Ee6/gycOuMTWMcZVZaWKUptmnMqKbqdfBC1BItqAkpv4kR6fOpJYGd/53PjuEX+2R9AWMb0gNqW/htqWQTqVunTXu9cRy+JNKfmFNUzh3UJ9KTrMABCdPq5iCdu6ElVKRfUZWUpkzMJVuXVJaRbvsO1aJOkGoJXlQmSkUaELaa61Y8LqvHz1bczub9oLGM6+6A/LYAn2hYABCgoj0i9oaznEyky6+pxPh+fkkk2zuyxSAe/NtE85W6ZT0uGqVyasnYdYUhWm1hFfqGJZmpNqYw5U6Yyi1v7ul1v3vyN1W90WRt3CvYdt1ykVBnr6HOocRa5Te5BivVSvKkp9L61toQtRSVk3ym9hm9MR8xh+bbC5l5inCY88v04Klye/5tXZMVOo1ErVMU+oJKm3E6OHQK7tBsRFqiK3YmcXyjM+gVyXlkiYSnq59nKClabWSrxHL0R8v+klwzc4YcRJuWk5Yoo9XHxhTTl7KEq89kcuwo7dxTH0Nw7iitfHZw3PKdW02ottLUAErZy6a7nlGddK7hF+6Jw3m5ans5qrSL1GmrA5p/GNX7lpuLd4B5RZTel6RHtaR82mEz0xNsytOaccm33UNMIbvmW4pQCEjxKiBH2R4Z4RnsL4WpshPrL09LyjaZh1XnOuhIClH1x84+hRgVrHPSOw83UZVbjGHUvVx1GXz3WLBoH0OrQf8GPq+0mebUVvyCSlQsbL831xRiGnO3caoyah6xiiXfcZzJXly9q42N4iKlKthK3nmiq4+nFqXJodHYVokg5eQMRc8whaVILYJsdSb+rwhYcypmIY34V4Fxe6xOztFaZnpNfWMzUuMjgPcSPOHgbwy6lukyi5JZu635l08h4RoVabSxyCTf1690YBxm4t0Dhf1dRrDc7NPzRW3LyrAsp1QAvqdANRqY0TpupENGs6Urd5greIZnB/SUkOIdQnW0U+mYhl0TUzq4JVu4SpKwASk9WVEad9rxi80tDs5MONnMhbilJV3gk98a7wwZxFxfxbjfE03QW5Sh12lzEvMFIsyZoBIlQhR89xKkgkjYZr2vY5JPSU1TZ6Zp86yWn5Z1TTiDulSTYiPpfDmOWLp6WrSikvoMs46WIx0dHR6gU6BSohWhtcWgI6AyEtJvqAASb+EKV6ZLtCmEISU3KLA7+cIi5d5Tasqbd5haqvg0h5IJNyge+MuKX+yl6irRvcrTxUolPjaHEoypKhc2EJSrfWruraJIoGixtaxj5RUT1M1p2RGzrgU+pKbi2kHlFrzgA6Qq7LBZCb6qur1QVpsNEa6jaK7DXuX+hVJLLbNjdSUhOndaJpeIWpV5LhZF0p1yJtb+3eM6lJ1bQOVdkiJgzqZmVU0eyoA6juELpCmW+Vx7LMghxCjY2uByhZvH0mFN9lajcka8rc4y954pugnWEBOrScotoBqTtBaiHUzW/w+kUhVkLPIDu5aQR3iDKAWKF5T3j9vCMoM45m1OnjuIKZtR5iwgWQTTHuIMt5QSELtYWubQ2ex8wtaV2V5+fsiwIsdD+3KM1fmwu4J32jm3yEWzCBZXF3NJOP0WIEubHQEWvfvgTjxBSVdQolRtqYzdMyoK879rQoqaNgUKGnuhklcaxoK8dS6QLy6l5SNSddoTVjiULxWG1K+r3RnLs6rYG19YMHtL5oDSuLZmiLxu0G+wk5kkKOthbTlCZxyjMoi9z+36Yz1UzqE/VsL98GLwUBBSRNyzx0Bm02gLmKGz0iBJGvfBL3McomAjLJ7miIYkbQUm8dAE2EIMAVd0Be/KOgpV3QyaJuCTaC84G94CCKcReAvYWgSRBCe+GQrQMATyguYnlHCCgMMq/KOB3vAFXdAXi6JRIE3vpEnIqtLpv4xFneFG5h5tISlyyRysIw5ngp46iqcGr37T1fB+fYfh7HSxWITacWtrX3afa13EuDzvA5h4xF+VzPJz+iIBM5M21c/oiOB+TeJ+VHxfuPpv51cq+bn4L7xK5/TAhV+cRaZp83u7/REHEw9uXPcIn5N4n5Ufb7iLpVyr5ufhH7xJAnvj1/0A+lDw04DzGJ8O8Sg7TpSvKl5mXqzMq5MFC2wpJZdS2krCe0FJIBAOe9r3jxf5S99f3CB8pevfN7hGjC5HjMJUVWDjf6fccjPuO8h4hwMsBioVFGVndKN9nfvZ9MaZ8IBwRZ6TVbxW/LTzWFahhqRobVe8hcU71svMzLxWWAC71K/Ksvm5gWgSkgjLg/T36R3D7j7jDDbXDovTVNw5KzKFVJ1hbPlTj6myUpQsBeVAaFlKAuVq0sLnyR5Q7uXOVto7yh21s/uEa8RgcwxFJ0puNm/SeeyjN+FMlzCnmOHhW1wjZJ6WuVr8+duzl6CRuTHZx3RGmZdH0/cIKZp4bOj+aI5X5N4n5S9vuPd/nayntp1PCP3iUzco7PraIhU8/bR7X+SIIZ+Z/La/wAkQHw5iflL+foJ+drKfm6nhH7xN3EdmiAVUJsfv5/mj9UEVVJpO0wfWkfqhXw7iF+sv5+gZdLWUv8AZz8I/eLEVxwJP0T7IrC6xPD/AIx/RT+qEVVufGgfH+LT+qF/J/ELtX8/QH87GUv9nPwj94tpVbfT0wAVfUC8U5ddqQOkyP8AFp/VCC8Q1UXImh/ikfqgfAOI71/P0AfSxlK/Zz8I/eLx1lu+AKvVFSkq3UniA5MD/FpH2CJ+RfceUOsXm9Qi2PDmJlykvb7jNU6Ycnp86VTwj94fXI744qNtBEtT6fKPW61tRv8Ax1D7DFnp2FqG+R1smo3/AOvcH/ei+PCuLlylHxfuMVTptySHOlU8I/fKD2u6OOcbpI9UbNTcAYSft11LUq//ALS8PsVFqp3CjADybrobhvbaemB9i4vhwdjJ8pR8X7jJPp4yGHOjV8I/fPN3a2uY7WPUSeD/AA5O9Ad/yhM/eQf9xzhx/wBAO/5QmfvIs/IvHfKj4v3FX5+8g+Zq/Vj988s7QBCr7GPVTfBnhso9rD7v+UJr7yHjXBLhio2OHHf8ozX3kLLg7GR5zj4v3DR6dshl+xq+EfvnjjEYJos0AD5o+0RQmWH31dWwytxWgyoSSfdH07keirwncwpMHFPDx5UxOVAstF2rTzeSXCUqSUhL4vmsrU6i/hB8J9FTgBS62xNUvA4knGlBfWGrT6wCNjZT5B1j02Q1o8O4eeHr+dJu6ty5LvsfLuPOIMPxrjaeOwcXGMY6WpWTvdvsb7zxfwU6JPErixPS07NU56i4fKwp6fmUZSUb/NpOqiY+lvDXh7hvhrhKRwZhelIlqfT0FIWTdbrhN1OKPMqOpMTMnJUWlyrVMkFFDDCA2hGqrJF+atTD0OyzV0EZTbmOUVZhmlXMHaW0VyR5Ohho0FtzJRllDa0LULkgWzG99+UPAnPdPXKQQPOSCbjuAiOp6VzikiVl1OKT9XS1ufoh2K5RZNamHqgJx9N80vJ/POp8CR2UnTmY5tjRsNHW5QqLS5IOEnZY3t4QKaZU3ilclSWmtbp7IGnhEgiqVmaX1dFoMlSkWsp+ZV171u/KLAH2w4NMdfJRV63PVAnUpS51LWvLKjl64sTsVsYKRWpUHy2elmmyLEOBBufXr7opuJ8NSE/KugTko28olTZaQoi477C3sjQ00mUlDaUZYYuD5qbnUeOsDMdSiX6ycfQ039d05Qbdw3J9EWRncDV+Z5dbRUJXEFPmZhRbfQHGlgnkFae4iNGrOV2lJQ6AkOKSkqtoLnTXuJ0iUx3hmXrL7VYkqTOB6XKltvqCW0OA8wncjxiEVmqdDfk3yrM6hSFEbpIHL0HWLG78hOzcw7onYBn8IdIribUqdJBptUrLmXUtIShkvOrW40CdyVJSdOQj2UpOJnAFGakpcqSTq0XLH06RgXB+kz+IKpU8WLZU1kUiReyqyB5xlRBuSbEXtc9xjfpWbk5tlDDdRlgsXBRLvBeU932xnm9U2zR+qkRFQqGJZUpLqJOaauQA2nISO+0NXqmS0XHZct2FyFaW9UTczKWPVlwLFuemkVSsrfZmFpddBQocxc+Gvoh4oqkUziDOrafSWVJstN0m+4jzli/hnSuNmK6VP1ydV8R4ZdmVT0u2SFTTq8mRoqB7KeySq2trAEXvG4cQZluT+eWvKgNFV72ygRhvCXEDM1QqjLtFZnJ6ecqLgOyw6dMvgLW9UbY7QuintLmzJSFIS3SafLttSjTYQw20gIQhFrBKUjS0eb+kngdFMq0rjGnMWaqB8nmwhOiXki6VH+Un+rHpEJSVpY65sOpGYIvdWUEct9/sitcUcKLxhw9qdClilM88ptcspV7FxslSR69vQY6eTY3yLFRl2PZ+oWW+7PFN/Ax19bc4tquGONaTT6jiTEeEKhL0bD07JStYUshlTapgZ220k7qUjUEXsFJJ0Ot/6QOHeDtMw3hDEnCjAOK8Py+JXZ+abdrU2HUTMq0pCEKbTckDMTY3277gj6b5ZBzjCG+ra69VxLoxSOjo6NgQCDbs6GDzZPxa6lQ3Wk+kXgoNiI6dWFSRSfrp29cZ8V/Qz9TARcul1KRlI8dIkWHcyQCNRytCLTKUXU2q4PuhVAAAuLW598fJ5Pdl6Fg23fOEajmYNM0SdLLdQSyS06klISm9rG19IIh0ZFXIGlo1fh/JNzWHWpeZaS4l4Luki9hrrFLugmNNLAJsSPTzh8xMcrm2xiwcR8Ffg7NJqEmCJN9XZSnUINtvbFQYdVvmsN4ClcK3JB5lLqswRcW5aQxcay5gNDyiRkXweyRe+8BPSxB61odlYvpraIyyKsRmVItmO8JvCxCRteDqSUGytkwkslV7nxMLyLUlYSfTmyhG99YEDKiwKrwBuLm+0clz60S4EkxQkXBBNoTccsnQnWOcdSkC8IE5lgX0tEYLAoSpy4KjvsTA5yOz3XgNUZSNze8Cg2O1u+IgMMM1/N1hRF7nNBC4Epva5JtAdZ1YHK/fDJ2ColyjiDaFQO6A+lrGaXI9AkIkEi0FKV90Lq5wVW8ZpczRFbCevOOUO6FALwB5wo2kSI5QUgiFCQI69wYhLCUAAQYE6R0FOwoUgwVW8KHaE1Q6EkFJ7o4Hs3gBtAp80Q6EkBmMCTAW0jjy9EWx5lDZ2Yx1zHDeOI1i1CMEE20gQRaOgCLw8eQocbQIJEANo6GE3DBRvBgTBBvB7aXiEBBJMcSc0AnfWDGA12ithSCRvBVaDeFIKtPhCiXEYTVvCpSRAFNxtFbImN198IOQ6KDsBCa21E7Qkh0M1A21hBe8PVNL5CEVy6+6K2ixMZr2MILAtvD1Us4fo6Qi5Ku7hELuKxWnC5SItVNFlAeMV2nSzoUDki00yWdJTpzjVRRysSWmlX09H6YulI1KR3axUKWwsEAiLnSWVAgx0qRwsQXCkC4TF2o+qLRS6S0oZfRF1pCezb1x0qJxK5Kp2uYUSYTF+7fWFUgkxpMq5izQ2MLvPeTy7jhNtMo9JhNsG+0Nay6A0hkHe6iPQP7Yq065pGlNQg2W/CVeqlQlS1VKlMTLSFWbbdXmSmw2F/VFkkqouXnGylSU3BtpcE90U/CtUk5SjIk5uTdTZaloebAINybg8+QiVnVMLCJqWdbshVwAe0mPJ5u74uS7j2GVwthY37S8omX1uImJgXUnsqyjUj9HKHiZtKWiqX+dt3m5JvvFYkqiubaCuuSRe/piQYnEJUMu+iSPGObextasTrnllRSJepTbhlQBeWbcLTahr5+WxV69IlKdLMyraG5JhlmXRsloWSPUIr7M2hark6d/IQ+lpoWK0LUhBVe17wUwckXOWmEJbyoCgBqRftK9cSkuFvAF9wNoAuMxsBFQkqipTnWG6UgaX90TLDnX2KwCgakBXnHxiXFsPX1uuOqZpaROO/lVpysoPhfVUOZSjNy1puoOKnZ1YF3ndUteCE8o6TWCEozpbQBolWl/0xKyTjXWKWu+VI9IENGW2wLXGEzJIIVlkusWRcuK0UfXGV8SKexhyXnKwJvqnS3nMqkZj3Zidk6RsrksqoKShOjYGZIOw5XUOdhy74qWKcOO1JhcqyGWZNxSW1NqbC3Zm5spTi1eaLXsBF0ZbCuNyu8NcIon8D08TgSlt9JmVoUClK1LJJNufLUxIVTC1KpyR1lNYQ2Dq/KpsUjTXTWLizTqaiktSiGEqCW0pzBZuLC2hvFamHXpPNLtzDi2gogJWbqA7r936oqitxpMiWn1tjqWZxc4yfxUxftW7lX+2IWvvqUhK1qTnRcKHhfv7oSnZ74rnlTEpdTLygl5GwSdgoCI3ElQbyh0OWSts794jTTi72KWzG+kjiFdOwDMzkijNMKCZUpUcqRnVYknmN48+8JMVN+SLrDQzPUuaWpxLaswMq8q6v5pFx6DF06YWKmpfhsxRy+fKKhNIbbANiAk5iT4W+2PL3DzEM5hOps1SnzK1tqPVTbV9Ft9xGx5xrcbQSEitV2b/U5+oYI4rs1WtvLfYqRmJiRIe85lKUpKVDkElxJA56eMbGioN1OQlpyWKihxKXkFQFiCAQR6ow3E8hTMbYLcmyHnqnhp0PSK21kLVLOlJNx9JITof5EWjghiGbmaM7SavUxNutOl2UC7BxMrZOUE8wFZgOdrXhEtO5L6lZmw13CvDvHPCHFfDXFvFiQwnXMUYhla3Lv1TtIWJWWYaCQNLjK3Y63B7488dLuv4GaY4acLME4wl8Tp4fYcNMn6pKIysPPrUk2Trroi5tcDMBe94tfSFwXO41oDb1JBcm6aOvba5uJ2WkeNtR4x5NyFCilQsQbEeMe94cpRrwjV1tuLe3p5X8Cm24MdHR0evGOgr2rOoBAWn9P9sGOot43hN/OGUjbtg+mM2L/oJ+pkXMSR2CSonu9cOEpC0+iEHtRcC1xeDy61hIBFxHyafMvQVQypNza51jc+GUksUNt9SFKC03SCNrH+2MHfWFPIRuVR6dwzSkUOiStPAUVNMJQok87c4z1nZWBew3rtOlavIrkag2lSFJKSLew+B8Y81Vqnu0apPSS8wU2opT4i8enH1JWtTYVYBN7+6MV40UwytVRVEXyvgBVxsrUXjNhqjleLHXeimSj5Go00sYlZaYC0BtYB1vFclXrDOFbcokWJoeceffGsj5knUJJtaEvNC9yb+yK/NEozd9xcxYpaZS6yEW5wwrEsgtpdQjKOY3174g6kyBW4pIA5GOzltJWd9NDHOJClam3jCKgXRobgQBrsEvdYbn3QcK2tCaWykawF7Cw1ggbHBVZPjYQBeUsJHdtfe0Ipz3ue6Dk6hV7kWEQFwVOrSm6TtrAJeKhddiYIvYW0sIFplboshNzEJexoado7LuYVDZ5gx3VK+qYokrnpE0IKGhEFKfCHPk6yfMMD5K59Uxmki+MlYbZbQUgWh2JRwnzTHeQO/UMINqQwKddoDLoRD/4udJ8wwYUtzmDBs2DWiLKNeUFCSIlhSXTskwIorh+iYOm4jmiJUknaCFJ2tE2KI59UwcUFxWmQwyQjmiv5D3R2VVhpFjGHjfVJhQYdJ+gRFkV2FcporHVq5JgerWdMh9kWpOHT9WFUYd70RaluUuSRUOpX9Q+yDBhw/vZi6Jw4LeZ7oURhy+oRFqQjkilJlXfyZ9kCJR47tn2ReUYc/iQsnDv/AFcOlYXWihpknturPsg4pz5+gRF/Rh7+L7oWTh3+J7oIjmjPU0p+98kLClPK+hYRoKcPW+j7oXTh0kfi/aIgrqIzoUZ/lf2QomhPHUgmNGTh0/UhVOHz9SIK6iM3FBcJ1QffCqcPqt5kaOnD3/VwonD/APFMI1YXWjNfwdv9D3QZOHBzRGlpw7b6MHGHj+TgNA6wzP8ABtP1DHfg0m1+rjTRh4/Ugfwf70Qko3GVWxl34MJ/Jn2QBwyPycaj8Qa/i4A4f7m/dCNB64y1WGUgfioQew2kJJ6s7Rq6sP8A8SGsxQLIJKIGkDrGbSlBCLdiJ2QpGS3ZiyN0UJPmw/YpOW3ZjRShY5mJqXZHyEhlI7MWOnsZLaRzFPy2sIk5eVy6kR06cTiVpXJWnEJy7xa6Y9YDWKvJosAYsFOOlhvHSpRscesTfXjvg6JjxhgFXhRCrjeNLSMq5kq3MbamGE851z/nC3mi5g4c6ttS/qiEpCXM3Py7JOYKdQlXovrFdNJNyLKjckod5odNpUoxISzEtUZYuBACkPHq135777nWBmsPTCEuLaRmsLlSVA2HqiWRItFKGZpttxHIODYenlCv4MUebSQ0hSCndbLigm3ebabR4PE1HVrSk+1nvqMFSpxh3Ioaa1P4edK5yUmUyy1EqJaUAnxBttpE1T8V02bcLsvNBQFr2XcC8WGbwVJPIK3J+ZDSUm5Lxy28b6AaRQathDDCS87hpifnZ0AJcmZd0Il0m/01qskn0XiqyZZcv9Or0ut0BTlwO7URPy04hywQ4lQXcgjujz+7MYuws9mqDDL7RTlyMOErtysDuNRr6Ys2GuILLq0iXeUgoA6xh42WnwIhdLRL3Nrankh1IJUQe4fpiXkphYXmTnFheKLTK1JTTQebdSbWKhfYnlEyxVVqShF8pve4O8RO4C8M1DO7d5QWrvJifkag0UZUi1jaw1vGcIqCUFspXpexh03VksH5tw3O9toIDSDPXzJadstWhVfzQISnV2Ya6pwuBZUbHQaA/qiky9baQsBblkEC4N7kw+brgJU8pYV2bAXh0Ix63WlCUKlGxsoWG6dxpFVqtUUgOOFSu5NyB9kIOzxcZfelwS2Fqza7Xirz8+taVnOohI1G4i+nG5W2Hnp9tpTinFoUH0XIKrm/fFbxVVZc09L4VcXsAb7i4jqtUEBltodndJtuIoGNq63I0txxxfzbTSlrN/NAFzGqEFe5U5bnkPpR40/CHHbFFbdJYpTOUi/mur1V67BMZpTymSeS2+4WutSFBRGiwYf8TZCfdrT1bmWlpcm3VO3N+0CdCPV9kOsHy8tiBlvD09kK5pOaTeUbZXANW9fVaGqSu9i2O0TX8AVpcgZITDjapZxlci8oEm7Kx2T4lJt/OMX3h9gFnBs3MVmZra6hNPMeSsIyZEMMFYNiL6qOVNz4R57os9W+HVSNNrEm89T1nKoKFy1/GEb/AIdrrFUpcs9LzKXkFKUpUk7pIuD6wfdClctuRoTU+h15KylNkpUm2bnyjyjxpw5L4dx7OeRS5ZlaiPLWUgdkFXnpHgFX07iI9JyTycpAOu8Zp0hqIKhhqTxAhB6ylvdWqw3bcsCfUQn2mPRcO4ryfFxi+UtiuW2559joAQMfSiAbWvygk2o9UE8s6f0wofGEpgEoSeWb9BjLjdsPN+hkXMKgggX38YVJS03n53EFZbDswlABOZQSLeJEdViJdTkvlGZtakkd1o+TS5mjsDYeaRO4ppMutIWl2dZTl77qEem3XnVPvHS3K2w9Pvjzdw6l/LMdURsp/wCMpd9SdSI9Nuy6Cl3LqpV9IzVvisrk90VicnkMBxZym2lyYzXjDPJmKfLNJSkqcOe/OLhigPNTBSFWQRex8NIzriW4H6bLrSNWiEk9+m0YsIvOuWtGdS6gm2lwNrmJBl1IUknlraIxGhvyhy0sG1o6ISalVpIyjsjUixhw8etl1o0tbQHviOl1ZBfQ35Q6C7i97XiBRDvIOVWo3A005wgpKUjsXvDyZTZxRtYHWGgULaCBcdAZXHBlNgPGB6tDQAJt4wIJJBvBVLAJ1gINkGX1d7hVx4QUqTvCTiyrmbwXMQLQbgsS9Bo79dmww0Pm06rV3CNfw5gWiyDKkuS7UwuwGZW1jr+3ojOsATLctJVVal5HsqAyOZJNjGu4SUXqWl5xXaUdbe6Kq0nGGpBSI5OHD9UwsnDp5p90aanDdt2xCycOJv8AihDtX5nR69mYJw4fq+6FU4cJ+h7jGoIw0CbhsQqnDVjYtjWKHHcZYhoy5OG9dE+4wr+DZt+L90agnDQB/FiFU4b55BA0E8pMtGGider90HTho/U90aknDmnmAwdOGtNWxBUBHiWZaMNfxPdCgw0fqe0GNSGGhb8WIVGGrbtCCoiPEGVjDRv+L90KJw2b+Z7o1MYbT+TEHGGx+THuh1ADxJlqcNq5o/owqnDX8T3RqKcOD6ghRGG0nZsQygVvEmYJw0R9EeyDpw2T9H3GNQGHBzQIUGHBb8WLRYoiOuZinDahpk90KJw33o90acnDybC6BCicPo5oENZC+UGZpw5b6I9kKDDp+oPZGl/ELIt5sHFFYH0BDWE8oM2Rh0D6HuhVOHhe2T3Ro3xQwPoe6BFNYSfMg2F68z5OHP4nuhRGHT9T3RfxIy42QIAyjCfoCIK6xRkYeN7ZPdCicOqP0PcYuhl2hqECAyNgeaIgvWlQThw/UhQYeP1PdFoOUch7IKbA7QGDrWVsYfJ0sPZA/EKRpb3RPKI5QkpRGxhWgdayG+I0jkPZBTRmxoQIlVKJhFZPfCk61kYqlMjuhNVOYHjD9YJ5mG7txziWJ1rGTknLjYD2wxm5dkNnsiJF7T1wwmz82YFgdYyMDTWY3AhRCWreaITBuo3gwPdGikZqzF0lI2AhwhQ8IZhdoVQvnHQpczl1STl3BpqImKe7a5BiusuWtEtIvWEdGkjmVYsmuuEKtO8ojQ8Lwuy7rF75blMY7k5JmQczJqE63Loy3Gc2zH9US1GTQ2J9maFWaUlolfzagtW3JPM+EUyaLy7oBsFJCQfTDjDLVq5LrSLgBQuTqdCf2MFwUaMnfsL6UFKvH1o2CZr0jntTaDMupVs7OdkK5+aOXr2iQpj1ZdyvTT/ZB7Eu2AEoHoHOGUmpxxtLadbWHMm1hEwtSmHg0V3zhOa259cfOHzPc2HnkHlyc040uaVuG3F5WW031KhzPhEfVp1JWmQo7LczM2yoWGvmGBr5qBobd5g9SqKW5dLD06gXueqSbacs0M5CeM6w8mQfEnT2Vf3RPqAuq1rpR3+rviWsB3GHxC20pxOUPzCgFTEw6cxPh3AdwHdGf4tozDovINdW7c5VJABSL7gj7Iv9TqqqqyJalsOMSCCU9Ys3ceVtc/qiK+Km1vnrXAbi3aJ7I/YRLBRTKDXq1RFJM0lbqAQM6Ty8Y0ilYnlqwgdQ4hKgL5c2pt3emK3PUuWQl0NoAJSBqBb2bXinzLUxITnlMo6WMqbFN9DYcrc4Fgs21movtK6oWuoEKV+rviSlag0tBSN9De+kY9h/iKQPJKtYFJy3y9oCLtL1dl0JXKzBcTa9ki+WIBqxa1zDqF5w+U3PLe0LsTy1gqRZSBub2EV1ittlSULzBW1++H7c0EXBsM3mgbC8FMRpjiXmcpnZN2yErUVJ9EQ6nSc7fauTY3HPuhRM40JtZcPavYg7DSIyqTzbcwspUoXJ2Gmlo2Ut2USIevPoSFpQQTewN9RpyjBuN1Rm6hRZih0qc6udqSkycq2i6nHVKITZIHpAvyFzpaNaxBUkID6rgIbusqSLDXl4RnODq41V35ioLCVBTiy0CNcuwUD46xtVoRuV7GSccsGqal6bNuL6vqlGXduLX7IKQNNTv7oxmny6JGecpcy6UI6wKbeToppfJQPsj1rx8o4qHDGZqjaQXqbNS80L2sUlYQr+v7o8sYulhKVNqpIbPk802jnp5un2GKUrxRZFmw4YVIY2k1YexMhDNclG8qFGyROI2CgeZHMQTDUhVcC1sUR8FVOmL9UCNUG50v6ftig4cqbM3LNys+4vrJY5pWbSo9Y0b7A8+6NNk6vMVqSaaqwQ4+zY5xztbX0xLbAktJoNPm0u9hJFxuTt6YjeIUoangerShT1ilSrikJPNSBmFvG4EIU50lAyHztyTFhLiHJNTTqELzptrtt/bGvCVOqqRl3Mrlujx2kgi4gYc1SUTIVafkUJKUy006yn0JWQPshtH16nLXBS7xb3OhJ4FSAjlnB9xhWCqtdGbbP+gxnx7thqnqYVzF6fkE/KJd81T7SFFPIFaReIypvp+NagUHO0Jt5KO8gLIEaLLYNpBwDRMRIkJqerNdnZ9hCm5gIakG5VxKesWDvmCr/7IoeGX5JnEDDlTU0Gm6qwXHnLlIZS7d1RtvdIMfJp96Lk+wsHB9ht3iDIOuLKGWGnDntstQskH2mPSSpcIZWbhZJOZXfaMQw4unTmOcQzWHHW1yU1XHFSj6BZCmC5dOXwAMbgAtUulpw3WkFJPfGWu9rAtd7mf4/SuVQ2+lsBsoym/wBYk/otGN4tnPKaV1LpTm626deWojf8ayi5yhvtZEqUEKUm45gR5ir7qw+uWO6FaiEw0UkyyPKxC5LEHXSF276CC5LIzGORfvjSEkWFHMNdfGHYAbRmJiNaUdCTDh+Y7AT3D3wSCM26VEkcoYh1KSRbeFnlKUCR64Zi57RgDJigdOp7oKSoi41jshyhR23gUkAAd8LYmoFGup0gSoDugFpF9DygoGtt4liXJCkzapWZsFEBabEiNqwnUUt0xtKUkixNk/2/trGFN3DgV3RpOGKqoI6tKhZLY9F7wlSOqNmG7Pa6MNk7N+yFk4aNhdo+yL2Zdr6lvfAFpA2A9kOJrZSk4aV+TNvRCow0eaPdFyCEgeaPZAADXQQLE1sqScOEj8XCgw5bdIizKSmElW5CIDWyAGH2wdQIOKEyOXuiZygawU2EQmpkUKMwkbe6O+KmB9GJFZ0tCZUO+IC7GXxcwPoR3kbI1yw6UYKfRDXAmxsZZsbCA6pG1toXOohNW8EjEsgB0gpAva0HUdYIo21iXsKwpAGtoIbHWBUu41ghWOVoNyAFNzrBFbaCBLmkEKx3iDdAaO1IhNR5QJcT3wmVA7GDcFgcx7oIo+EApdoIpcS5LAk35QmSIAr00MJqWYlyBlK1tCayL6wVau82MEWsHneBclgVQisnWBU4gfSHthJTyN849sBsmlsKo2hFah3wK32uaxDdyYZH0xADoYDihbSG6yNY5ybYH04bOTrH14gdDOdtvDCbPYMKO1BkfTER83UWchGYc4gdDEL6m8cFcrwxVUWrntQX4xRyMX0jNWjYkc3jBgu3OI34wSfpQZM8DzEdCkc6qiYadtaJGTeEV1qaJtYxIycwrvjpUuRzqiuTweBOhhw08lIKlkAAXN4iETBvpBajOFuTKQdXCB6ovtdpFaiTIqSQ2SJwJvc5c3PnvErhefkpyrypcfT1mumXzhY91rf7Izhb4IIClAgXsItXDaXefrSJxiVVOTbFhLy6dluKBGZR+qBc+OkHFONPDyk+xMvwtNyrxt3noimqdQyChxLTOhdfcsEpPcL84hqnjaXRNN0nC0v5dPKUUF6xIHiBz5xHOYRxTU09bjCvKlJUG6mJYi6RvZKRoPSfYYUlpJxlg03C0h8Xy+WzjylZn3e8qWR7hYR827bnsmJzNPlZOYM1i6pqnJtd1CRadAJN9lkbDwGvoiSkqZV8QqQ/OIS1ISvZYkWew0i32+k3h3QsGSsu4FvhL7yj55Tc374vErSkstpDYVrYkwbtkIZFHS2wFFsJSBYJA0ER01KsspU4E3t4Xi1ThSyFobaUohOiibi/hbnFdmVKVoEi5Oo5gQVF2FuVWptLXnS2gjTW/LxEVupSAeuCnUpJvb2iLrOS6cpAd1PIAk+2IifkAEgly5HZsB4bxLWYeZk+IpcMBCglSMpAuDr/AGRH0nGlSpFQSy9mCCkkOAmxA7x+mNArFAZmmy4rdIvrvGe16QTTJGZmn02CgQi+4QDuPfFqipKwuq3M0Sk46Ymwnr3k3tcKB09MTrOMTLgImXUqbOxB1Ajxkxi3EtNrT01S5xZaWfxDuqCm+lhy5n1xaWuNksGvJ55xcq+NSVag35358oseFkuW4Nd0epJnF9OSjrussBbfnETO4nl5shptzrABuDpHmGe4vIamVJlp1biVEeYsGIiq8c5qSYU7JMKUkLCFKz2ue7T1xopUnDmVS35G1cZMWpw9gqZfYcT5ROLRKMpvqStQB91zFd4VHyWXMkXFHq7ZCTuLfZHnut8SMQcQ8QUpqpulMnJvhxDQOlxpmPedY37h4+kdWXE5S42FJVbblFlSV/NQqjbmXLjDOsS/CHEzinAtSZK6QRoFFSbeu8eY21yGJsEJSopRMSToQrncfRPhG88d59clw1nJdtZ/u5xqXULfRzBX/djzVh5+VkJp2VmV5KfUE9XMJ/Jn6Lg9Bjr4DJqmNwjrU+afIGtKTEKXMu02eXITfYU2qw7iO+NRoL5DDSs/aSOzbXfWM+qNMNSWtiXcbXV6agKSlBzCbl7aFB5kDl3RM4Jnn35fqZKcSl4EZpd1VgpPgeR90cycJU3aSsx+e5sVKqTRCVqUq19gNAYuUilDksp1NlNr5DQjujLKPW+pU41MMBlYIGRQGoPjExUOItKw/Spkrm0lXVWZQnVS1EGwHotDUacqk1GC3ZXKyRjmPZJpvHFTYlnQoOzBXcnZShcg+uK8GFKUtOdILYN9d7QacnX6jOPz0yoqcfWXFXPfy9W0JWF721j67hoOnRjGXNJFSTsHS0osKf0sk2gk4w4www8VWQ8rcb7HSOUSE5bkA8oSqKn0SzGZy6Mxyi+2kUZjthanqYyTuhg6+6EqZEy+lCr2Sh1QGtr6XtrYX9AgZmXUGWJtpHzb5UhNvrItm/rCG9sy8/cYdyq3X5iUl1rJZbdzZeWpGb22EfKW7bF6RtHBKitTHVKW0VKCgyhAvYLVreNtxVh2qYbIM02U3Fx6L98R3RpwO+9MUqovSxbYzLnF3T6LDX0XjYekXLNP0FmpsDI4w4AbJFikm2vtjP1eu7Y7htdGA1RCXpNTajcuA3jy5jWV8kxDMsfx7R6dfmcigpagBaxsnxjztxRQyMXTPUAZSEq35mKcPK9wxRUUpVbWOAJN4UF7gEac4PkTyvrGhMLQQKOXQRwzAXvr3Qe3dBbnPr3WgksEX2tLQ2Juo6bG0PVAZTYagXhncZhpziEsDfYFW0DlB5woG0ncQJbANhtEDYSIvoIDq9QQNYWygDSOA1GYHSIQTylOp7o0nhnRfjWnPPBSitCylSQrRI0t7dYzxKAdTrF/4T4kRQ5ioMOJSpL6ELFxtlJH6YSd7bBVj6PlWtoITcwyVUpUa9YDCaqvLj6Q9sQpJAqsLXgpWPXEYusy99x7YRXWpbcKHtgXJZkqtyEytMRC66x4e2EF19od0TUg6WTZWNoTUvxiCXiFod0N14ia7xE1IOhssKljvhJSv2vFcXiRIvZcN3MSI+sPbEugqmy0KWIIXB9YRUl4lSPpD2w3cxMj6/viakTq2XFTqRoVCE1zCPriKWvEySPP98NnMTgC+b3xNSIqTLwqabB88QkudbH0hFDXicH6fvhBeJ081++DrD1RfVTzI+kISVUGgdx7Yz5eJ0/lPfDdzE436z3wNQVSZoaqmyk+cmE11ZgcxGbrxMnm574buYmT+U98HWMqTNJXWWBrcQiquNJG4jNF4mTb8Z74QXiZOvznviaydSaW5X2vCG68RNeEZmvE6T++D2w3cxOn8oPbE1h6k05eJEDa3shs5iYXtmEZkvE6fyg9sNnMTJv5/viaydSaevE38YQ3dxKT9O0ZivEyR9P3w2XidPNfvgawqiaa5iUj6fuhsvEp+uNYzFzE6dus98N3MUD8qPbA1jKkaa7iQc1w0dxGCNVRmTmJ03/Ge+GruJ0m93PfCuQypGmO4lufPENHcSD68Zm5idP5Qe2GjuKE3/Ge+BqD1RpTuJOef9vZDCaxGMh7UZy9idOvzg9sMnsTBQICx7YmoHVmifH9zfNDhut33VGYN19Jtdfvh8xXQN16emNNKRhr0zSm6sFW7UO2aikkaiM7YrQJ0X74k5ar3t2o6NKZy6tM0SXm0qtqImZKZFtxGdylVuR2onpGp7dqOlSqHOnTZd2XknW8NalNZ3Q2ixyjntEbKT2bnCjqw4rVe5/YRspO7uVONjnAXR1YuSrsgA73j0BgWjOYYpEvK02WCak8gLm5oIu5mIBKUq5JTtp3RglMKE1OUC1GwmGzYC584aR6ww6nySXZl59KFzjwvltcNi1wD4xxuIcRKnSjTi+Z1sppRlJyfNCbMo++lTb93CTmItur1mLBS6CspQosFCBqRvoe4a++JmnUUhXWEBWYgi4tbvieSwlj5tpFs2mp3t/tjx53WrDCnU1iWbUhsWcKr6jYX9EOX2QEXtbKbemHobc6vXfU2tqfCGj6iSoHRVrlI1v3Q0eYGQNWZUxcXIzG4Ata/wCxivPZr3DpSOYvqYtk2yt8KCwQQn2CK5OyWUqVkykbc4tKyLfUklNyUi9vTEbNyyXCCkXANhbS/KHs6fm7C+YbXNtf2EIqWXmlOKIUCm1zttpCse5W6jKuPKVJk2LmpIGqR3xnnEKTzyq2AL3QQlN+XdGsOS61LL9r3Fr79kcvXtFGxJT2pt4hopuhJAHj3emLKfMSTurHm6q0F6TeceQkFK1W31Gp/t90ZnigNuPqSQm6SU+JsY9NYpoiW2i31aTlTYaXva+ukefZ3DbtRxD1CWVJaCz1hI2F/tjqUnfcpvZkJhXA9Vq96gzKKUFkoaJ5jv19nthlj/D7uE6bTqNMG8zMOrmnNfogZR9qo9ccJsHsNU5DRZQtCEAAEfr5bx5X6QFbYrfFSrNSX+9aUoU9sX0u3fP/AEyr2RmVRznLuH5WKrhNkOVVtY06sZrx6L4aT65h7OpdmknKoAaiMBwQypc88Q3mCWjty1veNn4SuFLSnVLCglVzrYX8YTtGeyJnpD1Nf4K0uQzj5+aK9dyEJI/SIwEnTTeNb6QdQ62do0glaVJbYcdJHepQH/djI4+n8N09GXx9N2Zb3dwqml9a1MNOuNPsKCmnEKIKCO6COpnXHjMonAh4klSgixUTudIVjo6OIy/DYl3qQTZE2hymvYlDYbXUgdMuaxJA9cNglRWVuPuvLO7jhuT+qD2EdpygYfLcNhnqpwsyHR0ATY2jioCOgmQGGs9qltBOlzp6odQzqRDbbbhIAKjr3aRgzTbCVPUwrmMDdvRZAvreNi6PfCKc4hVkVOdlXE0xhVusKdFKHd+3KIzhDwcq3E6baUJdSKfdXWvfyeQ/blHvPAuB6TgbDspRKNLhphhsJJtYqIHOPlEnqZrhHvJKiUmVodPalZFhDaEAJTqfN/YRRON1ZDmHfJFKGZTiUIvsTtGgVGeTKtFNk3R37euMB4jYgViCtM0thKSiWKllWa9zfa0BzUYststJnmJZtcrKqcZKrpSFRgePZlMziHOjW7KL+JEehsSStpGYza5WlEkbgWJtt6I8zV53r6m4rmns377Rkw/NtFa2GQsTtHfbBCshVtIMCDbWNSJcHW/jBkgbkamC37V4Ed1tIILHODQJSb309UNlN9oG8OLdoG+kJOpUCIgQpWBfcGDhdyRy5QTqyYOgRAXDAG9raRyrCFG2yvYG8LJkHCkqUbARAXGwJA25Rzcwph0lKim4tDlyVyHKkE2F4buN5T2hb0xCXPf7mJRt1pHrhFeJh+U28YyxeJxr87CLmJ0gfjIocmbFRNSViYflD7YQXiZP5S3rjLVYmT+UhBzEw5OwNQ6w/oNSXiZIH40+2G7mKE/lT7Yy9WJf+tENl4mF/wAbC6kMqBqK8Tj8p74brxOBr1nvjLl4lGvzohu5iUX1dETUgrDmoLxQL/jPfDZzEwH76T64zFeJgP30Q1cxKn8qIGobqGai5if/AKw+2GzmJxe/WH2xl7mJr7O7Q1XiZN9XNfRE1BVE1FzE+46y3rhuvEw/K39cZevEl72WfZCCsSKOyj7ImonUmnrxMB++H2w2cxODp1h9sZirELm2Y+yG66+6ToT7INw9UacvEyRu6fbDdzE41IcPtjNFV1099z4QiusPnviXJ1SNHcxMn8ofbCC8Tp/Kn2xnC6pMHW8IrqL5+kIlyKmaK5idOo6w+2G68UIt+NPtjPTPPHnCappw7mJcnVovy8Tp/K++GzmKE/lffFHL6zuRBS4TreDdA0FycxMnk6fbDZeKOQcPtip5/GAK/GJdB0osrmJlH6Z9sNnMSOHZZ9sQSlGCE+iBcGkmV19065j7YbuVx465z7YjCrvMEOp8IgrRIKq76tln2wkqpTB3WYZ3AgCb7QACy558nzzCSpl9X74YTMAdogGCp907rMJla7HtQB3gFEWtEEYuw4vmqH7Dyr+dEW2oQ7acAi6m7GOpuTstMWtraJWWmrWN4rDL1iCDEgxNWtdUa6czDOBcJSeAA198WCmzt7XVFBlZvUAGLHS5q+XWN0KxjqUzRqQ71q0iJMgFVhyN7+PKM4c4l0XC078XTrDzjikJWpTSh2Qb6EGw8d4kJDjNgg3W4ubQtJJRmaQsXuNTlWT6rRvoYulBWctzJUw1Vu8Ymt8OpBU7i6mI6kuHPnRdNwpweb/SsfVHsbC+CGJcJmphQceXZS1E7E7j2x5d6KipPiTjt6t0x6YmJKhtdY88uXWlCHnNEAKUAM1s5ABvztaPZLkwoZZVhWVtAsCn1bx57PcRGtWioO9kdjLKTo0nqW7DiWSVDq1gi1iToSP2MNXZtUu8lWULOo873QqwhzqwQs6mxudrGFGkOBnK9kCQTYWvvHDOjIbuTpDNnpdaAokm5um/pEJghTJLZTlPbChrB5hpl8FCHVtqA1WE3Hu2iHnETkkgBV0ouCXWk3FhsCO6LYqyKm7i0yhY7TVyTsTzPjEVUUqU2QWidLXBtC7dTKtZvIlKiAFJ+0i+kNZt85AsOFxs+aoG4Ho8YtirlbZXZhpQayrtbUkE66GGOZV05WwMxtlvy9UTIaTOLUlAWV5iRcCxEMnWCy8EJZAUi9s2lyd4WSsx4bjZ0NvqLeQt2310HK8QlWozeRamb5jcmxv64ml3UoBRKEg6gG9++OealFoznMFnS1tbeENAEkYnjOScSy6Qi7oOUXPt90VTDmBkTLwmH0jOs3Ita4AtG01zDaatNpQlslJVf1C8SlAwJ1T4dWEhIJ0Auq0anUcY7CKz5lYrRleGfDSsYtnWwUUunOzASLXWoJJSn0k2A9Ij5uuPvTkw5NTTvWvTC1OuLP0lKNyfaTHuzp44lYw7wxpWBJZwCYr86HHABZXUMWWb+Gfqx648INJA1MCkrRu+0Kd2XfhUlh2t9W+ewtJB9YIjSuHwely5IMi7jb5BST2lN9+1jbT1RlXDp9MtWEFy4Tcajca7xsdEKGKi8+fPKysWG9/HkNYaEtMmwS5lU40TSn8Ty4WQCiTbAHcMyjFBvfSLhxYU4vFgcUDYybO5ufpf2xTeV7x9VybbA0/UZ0G2jo7exjo6oQQokQF7R0dEICN471wEclKSkkkdkXEQga4uB4w3qTD7jcsww2pbz68jSALkqNgAPXDgoytdaefti68F8NpxBxTw6xM5VMSzxnFhWoCUbafyimOfm0rYOp6hoK8ke4eCWAKVgvh9RpJDITNeSIcmdLkPKSCsH/CJ9kXWcnpaRQVTBCUgE722glMfbalwlJslJvp3GIHFYM02WklVgqwy72j5U3Y3wRVsZYplZViZmGpgl4oOVN7XNoxHrymaEyV3WvUnxPP3xq+I8HTlTbLiG3M4FttLd8U6Y4ZVzKJhtJGSx82/s8P7Iy1Yylt2DtJlbxM23O0SYfZuVpSE5Qd9NY8rVxQNSeUk+c4QR3G8exUYTqbLExLTCTYA5cwOpPL+yPPFX4NY7mKzO9VSVFCn1lCgeyQSSPcRBoJxW5T1dndGZbq2hQACLnM8IsfStw5h5/TcgEiIt/AmLJRRTMUGbSRe/wA2TGjmg6WQadtBrAX1sTYc4fOUWqS4BekH0C9rqaO8IeTuZT2NO+1oIGmhAIWDqmDOJzna0PUyLyhdLKyLb2hUSLvV3LShbXbWJcXmiL6uw3g7TaUkkjfv5w98hJSSrNcHQR3kZA7IOnpiE5C0o0yFBSk3Ftou8tPYdboDcjJU1Tc7MKCJmYm20rSE62LSkm6ORIKSfGKQgLQNUkWh3NVief6vrH1K6uwTc32FhCtXZLkxigYeYTLSdMWy67LoKXphpp1vrSTexDm5A0CgEi3LS5qT2QqOlteRh6JhdQW6uamkNqShRSVDRRSPN0G55RGP3Fr2v3iGFSuaMrEauSj7YScxEsa5j7YrgUfGAKr73jPJWO6oonV4hdI3OvjCK6893n2xDlVrawF7xRIvjFWJVVafOxPthJVVfP0j7Yj7gbwBUOUIPpQ9VUnjzOvjCRnnjuT7YaZydLQFzAJpQ5My4d1n+dCXWuE6k+2E9bXuYFB7Qgk0iyApRGph01KlR5waUZzW7onZKQCyCUxExbEW1TSu3ZMPG6HnF8h9kWeSpIURZI9kTkpRCqwCPdDCyM/OHf4phNWH8v0D7I1EYeI3T7oRmqBkF+r5d0G4hlL1HKbjKfZDF6nZOUaROUjLfse6ICep1r9iJclkUh6Vy30hk4nKbRZJyVtewiCm2SlUS7FsM7nlygLX1g2UgXgMphhWFIHOCkgm1oOQYKU2iCthCYC43jlrsISLttzEFuKlQghVBC4OUJly3OJuBySFSe+ClQEJFwemC5jvaDYTUhUm5vAXHKE85gMxPOCLqQcnuMFJgNTpAEKO14gjkdBFqvoIEoWTbX2QXqnO4+yCkJqQKFAc4XS53Q26lfjB0tug8/ZDoolux4h+3OF0TNjvDAIVzg6Uq5k3i6LZRKKJuUm+0NYtFJmbWUToN4pEoDcX3ianJ3yGizDqVWWpGRHpOkWdZpVzO4XdiqV2pmp1eanFbLcIT/JGg9whzhTDs/jDE9JwnSkp8srE6zIsFXmhbiwkKPgL3PgDEVJMImJxhl1WRDjqUKVySCQLxuvQtwsrEPHiSqDjSlS+HJKZqSl5MySsp6loX2BzPZh/INtoxzlZORuhGzSPpNwc4a4Z4T4Hk8EYVlUok5ZILz4QA7Nvnz3lqGpUoi57hYCwAi5HK01lJSixsRckmGWGplSZUSjmUqVZXZ1tEilkPTQ1SoAjS2pPr9esc5u+7LXzHrUsH20LcTlAubDmITqDrEqgsrbzhWtxoU6RNtSoaaTmUAkJNxa5is1RRm55KEA9WkkryiwI8fdDQVyuewzCltoUsHMpVlgeEINKLuoX1QVulW1j4QeYfaZu2SptzkRqbXhqhRJzpXmCRbUm41vFpUIz9PlphCiwvqXE3tYnKo33ty0iozr85TlgTSUNpK+0UKORdufhFnqM40hsgIOcixNrH2xUp6ozCnHElj+51jVLh0I7toughG9yWlHEPSqnpcELcTZIBvv6Lwg9KpcCkhRUu1ib7kc4qji5gzyBSJwMFR7bS7kAd4IvcWudYudPk1NyyHUApK7q11HdpAqRsGLIpUm2WytToQSeaCLwUNhBKXkjSxUtJ3937aRLTVlizgCgNNBb7IhZoPlJU1sDaxHuPfCxGbBbSglS0ouldxtfS+g3MTlKStlrrdNAdLX0ivszAZKs5sokaC2msRvELiBL4HwJXMTPvJQmnSzjgB0K1/QHpKiBFvxtil7HhXph4/VjnjRUGGH1OSWH2xTWAFXSFg5nSNdyo2P8gRiSVkQpPTsxUZx+ozjhcmZt1b7yzupajdR9sI3OW8XvZ7FsVZFqwagqm02TdWYbC50jW6dPdQ8lNl37IzabDvjLsCS90tvqKgFLNiOYEadLSRdSkoQpWVObuIP7GFXO4snuVPie4HsRpWAAPJWtRzOpvFR5axP8U55iRxFKsvpcJNPYXplG+Ycz4RURUGVjMlLxT/IJ+yPo2V5nhqeFp05T3SKUmSIOkBmtvEeKpKHeZSM219PbeHCJph0AtzDR5WziOxDG0J8pIHIchV44+mE75SCDmv3a2gFKVfYj1Req0HyZBSDNhKm1LUoAjYX3EJBY77wZvq1JWo2zjUC+kHWgBlpUllLoWCCq1uYjf+iZRJV2sVutvdt+VZYYbJ1yhwrKv82n2x5/6sdWkhy5OmXuj0p0RGFCUxOtR0LkkPRo9HKzuVsDUa7v4ltFXmkenZOcVLs2yg3Gl+e0IOOh50oUu61crxFzs8qXl0kE5gsJHsiNW/MOPIe6xd99DrHzJS33OlG0TR6U0hUs2XQCoDtDe5h4p2VKCnqm7Wt5kV3Ck6XZdxhROZsp1O5uDEzZPOJdMijcbuSFOmEq62Ta1J2SDzNoQeotIWjqvJGzfXUAQ7BsCD33grqmyi5Jvry0iKRNKEmcNUOaTrKgEAXJA0MNprAWHXrEyqbnTzRD2SmepXmJ0IIJhdyoAJAAPKHuBxK1P8KqBNNWcbaX/LQCO+M/xZ0cMO1tCkplGkKsTmbSE+vQb7xrU1U3kspKLC579bx0nXQ2xdTfzhOuu/6olwaLnzhxTJP4GxRP4bLyz5G6UpCkgkpvodYRaxXlGVcsy5bW62hrGw8aOD2JMY8RqtiWUbKJdSW8lv3y17n03jE8aYIxFgZxsVmXUluYNmXCmwV/baJOKb2EcWkSE3iOTmZVTTdNlUrWBqGwCPXB5KaoqUJQqSClbEqVf3XijeUkG9j7YVE6rY3vCaRLl9feprrOVmmsoUbkKsDaK/UpD5wLaZvpzO/siHTVHEG2dQ074mJDFkjTlyk21TguZYUSsvnMhYItbLpE3Qr3I9+VclB89LhOa4sbXH7WiNdIV2lHnaJSv4kbrc85PIkmJUu2UpthJS2Da2gJPdc3O94hi+lWh2veCglgzGClQHOCF0DnBFOiK3E7KlYUUq/MaQUkwmp0AWgpmBawNozSTuXqaFhcb845RhDrvGA66EcRusiL57bbwBWe+EC8eUFLp5wLMHWocFRO9vbBmSC4BeGfWEjeDsLV1yRB0i9aWmmNBdouFLk0qtpFSora12i/0SVUq2kTSK6qJ2l00KKbI00i20uipUR2IbUOnlZT2e6L9RaOVlN0n2QUmVuqiFNBT+TEM5+hgIuUco0r4iPJsn1QyqNEPVm7dtO6DYR1kYpVaUlIPYin1KRSkq7MbHWqRbMOrihVemhBVpDaROuMwqMla/ZisT8qQo9mNFqsllv2TFRqjACtU84ZQEdYrPkxP0YDyXwiXDIt5sCGAeUNoEdchvJLwmuTV3RYPJxzEEclQU7QdAjrFXdlFw3VKuX2iyOyotDZUoCbX90TSxeuIQSizBhIq7omUyI8fZCqZIcwT6oFmDrSDFOUdxCiaWo6WifbkUn6KvZDtmmJV9CDpF60rSaOfqwqmiE/Ri4M0hKrDqofsUNJt83EsK6hRU0I/Ug4oZ5ojRGcPJP71DlOGwRo17ogutmafEenmQBooA82NMVhzL+9e6GzuHyBfq/dBSFczNl0gDZEJKptvoxfpiiEfR90Rz9Jy7pMOoiOZTlSFj5sJqk7HbWLM9T7X7Puhm5IkcjFiiV6rkUxLKCxpDbFT5S1LyGa1h1i7d+w/TFgZk7KuRFNrb/lVUfXlUEBZQhRFtE6aRJxdtgxd2MBfQkc4999Bjh/+DPC+cxvNMWn8VzJU2o/RlJcqQ2B6XC8T4FPdHhKjUmcrlVkaLTkZ5uoTLUowk83HFBCfeRH1wwjhmTwph2j4OpDI6ily7MmhI00SkJzes3J9Mc7EtpaTXT5XNew7JyTci282yolSAAXd727oeSMu0qaddJFiQDfn3wvKy3kdPalWnUuZbXUU21tCkkWmZMzKwTlUdk8gTGRdwz23Arc8y1JrSgklWgJVcj+zwivJbbYlA8+6pK3jcG3nJ5aW9/jA1CaXUKgG0uHIntHTlaEqrPoWwhQbJy9rQbDYRco2KZekinplx6YUlISkZjsj2RzjiWLoCSVmwVbu/2fpgGVudZnSlKys3soH1m8JTQU0TcFAVzSoXtD2EILEE0gBToUQLWt4eiKg5NCZdS0XL6WsnYA84sNecULlAuUmw77dxiAIQ26HVLDVwAo2uI1wVkUye46pUmsKD4Tm0AIiz+WtGWSyE2Pid/QIiqf1TaACUlSrXI3iQdbRkzKbN7aEfojPUbbLY8hJ1K/MQCbi+h/a0Mpl14oVlui1txv7YcOPNtNktqUlwDYi9/CGC0odALgVl+lreDFXRGZVjri+9hrF7WDqNRGqhPqlhOzKnnyhDTSlWSOykkqNj3WHiYw/pb8X2a7g+hYKpzfk7tSc8uqTWYqyJaX2E37isA7fQjdeK+AcJOmY4gz1VfpLtMlCZiZQ0lYcaSLhJBUk6ctfCPnvi/EUxirEM3XJhSil5dmUqFsjQFkJA5aW9ZPfGmCVtSEirkSm2sCq2XWCpNzaAc7RCeXOCWF4wdNpZp6GhplJI8dY0Cg1Jb6VsqJNlE3IsCBtr6vsjMcC+Szbhpc46UBSSpChuDF+pmHq3KuENPy7raDmzFVlFN76iAhXa5SOOalqxs11iv/AEbL7Hndd/fGfWFv7Yv3GoZsWyubzk0uXBsed13156xQsvjBkxoLzQUrWDosi8cFEm5sfSIC0BEU2uQUhdCyg3Sq3gDaFROzLYHVTDiLG+iz+uGttLCAClC4i2OJqx5SZNKfMeisVBBsJpaifrAK+0Q4RXZ4arUhd+9F/wBURRJIteBzG140wzPFQ+LNg0Im2sRuXs40zbb6Qt7zGzcC+PdA4YMVaWqVOE2am8wsLYdKSgICgdFpA1z9/KPP2cfUgcyRc6xZVzbFVqTpTldMEYaJake4flTcO6whnOZuWWCSULLCvscv7on6VxlwVViHKfPTZGlj5E6bW31SkiPAQU0RcK91o4Bq+ZKU3HO0ct78i7XI+l9C4m4EkFvNTmK5CTcXlUkTTwYPsXljQKZifD9XQFUyt0+bA36mabcH9EmPk8zWaqy2WGqzONtH97S+sJ37gbQKZ6Z6wOqezKvqooBJPfcw3IfrWfXMtJy5swIVsRa37bw0mcpbI6wWHh3R8uKPizEtIAFMrs/KFOoMtNONEfzFCLrR+kzxSw3LinrrD082gkh2anptThB7z1pT/RgXsFVl2n0La+buglRHiNYeshtwi41t748GU/plY1ZSETNJec1BURPsn3LllH+lFppfTadTZVQkZ1re9pFqYsL6XIfZv7Imp9o/WxZ7PdpaHG+rUNCDYXiISmXYedR1RVlUUqH6Y8tTPTmTKrQ3TsPIn2VD5xUwpcotJ5gJHXA/zoXkemvh5x3rJ/Ck40ly+cy8224B6c6UQ2oHWRPT7EvKLdXnlmrLBucul4w7pbYbpz3DCcqzTYJppQ4g75brSNO/cw1pnSt4bzb4S4arLpVZRSplpz+o4o+6G/FPi5wwxxgCp0SXxG4lU1LKytOST6FFQBKU6otuBF1OST3Fbj3njNQAISCfTHa7mOUSMinE5TbUEWsfXAZm8xsq474VtFRytdbwkq97XJhZYAQQFJNzsDCKrg7RLgsEUcote8CnXW8dYWuYLYWteIGxNZieUAoqMPBIr7oUTT1mwINybCwvEsa+tI3Ux1j3RvNI6HPGioLAnKRT6Yk/Sm6g2bekNZz7os830LahQKS5V8R41YWpCmmmpKmSC33Jl91xLTLDalqRZS3FoQCRYFQvFEkgdfbtPMFjABJAvY22j6t8Ofgl+EkrRaZO8TcWYoqFaLKXJ+Up82wxJJdOpbSepLikpvlzZxmsTZN7DLfhAOjT0d+AeA8LSXDTAa6fiKv1N2887U5uYV5HLtfOpyuOKbBK3mNct7A95hLJg8oPnvlV3R2RR+iYsiaHZIunWFUUIfViaQOuVYMKOyTC8rLOF5PYMWhFCHNMPJKh/PJsIKQOuF8PSDhCQUmNLw9S1qKboiNw7Q+yklPdGo4aoiDl05wtidcSOHaMTk7BjTMP0EqyfN+6EMNUVq6CfCNQw7R2BktbYQgrq3IQYfFvMPshlVMOfM3CDffaNXRR5cjlDWqUeX6nUj1QUVuoecq9h6wV2PdGa16hlKldgx6Ur9FZIVYRl+IqIgldgIdITrbnnyt0lQzWTFErFPWFkWI1jd69Q9/G8Z/WqDdSrCLUgObMy8jWNrwIk13vaLiqha6COFC8IewNRU0yajuDCiqaop2MW1uiJB2EORRU2g2FcmUQ0hSvomCChkm+X3RfRSEAagRyaW2DsIlhbspTVAB3R7odN0C2ySIuqKcgDYQsmQQNkiFsg3KazQBfYxIS9ATp2YsyJNIIsBD1mWSBewgWJqICXoCPq+6JSXoSABdMTTDCeQEP2WQe6BYF2QzVERySIcoo6E90TbbVoVLQtoIFiXZXXaWgcoj5qnoCToPZFqeb8IipxrQ6QSXKfOSSNdIhZqVTrpFtm2hrpELNMC5h4oEirTEom5090R7sqNTaLK+xroIYuS+uojRCJS2RtLkA/OstqTcZu1pyi4P0ukzaS1NU+UcSo3IWyk/aIYUWTyvKfVYWGURMhxtN8xAtrrG6hBWu0Zas3q2GmHqDRMLYokMW0ikyjdRpcwmZllFKi2hxI0JRmCTbcab+iPTXDPpAVObqoartFk33ZUB8KZWpPXAGyhZV/A+2PNonkNr6wZTfQ37od4ZxCql4gkag68lDXXpQsgGwSoWN/UYGIwsK0HtuNRryhJb7H0fpHFnD9TbS7NSk3KKUnNohKx7v1Q/mMYUKZp/UyFQaU4SRlIKFa99x+14890GYnG2utQsBJ1UAdx4X5c9Im5aoFMzlWbhWovyjybTi7M7cnqVzWpB4PMqeWQp1ajYJUNANvGFJnKloAki41A2EZbUOtbaMzLzbzLiBe6VEH3QjJ41rzcv1KaiouN/lUBdx43Fz7YtjvzKpGipFio5dDqcvneMN6i8hLAbSLAbC1tTFLb4mVOWURN02WeGaxLKygkd9jmH2QovHVMnGytxqYaWDcJsCPd6uUOuYjVkJ1OaKnCUpKgLm4N7xEpdUtakWuLX3FvGEJ2syK3FrROBIJKu0cvuNjBmVHRSAkp2ulV9fTGqNrFL5ljpKOuTmCgoptprD9xWexbKrA8wRY/sIjqW+3KqbS4NXE9pUOpybQtawzqkCwUPRuTGaXMtXIQmZlKD84AvvPd6Yjx/dAUUqsByUd/EWhOYeV1YCknMdNOdvH1xW8Z43p2AcJ1LE1VcCUSTBWhN9Vm2iR4k6CLIq7siSkjz100uKKWWJThjTJvM8+EzVSyaWaB+bbV6VAK9Ce46+RSfG5iTxTiSpYwxJUMT1h1S5uovqeXc3yg7JHgBYeqI2wjQ9lYMUAknNfSFAARm5jaE0gEkH1QcCwhLhHMjMuSUw3NsEgg2uDY2jY8P1BupU9txaVBZTovmCRoT7YxptsqlC5Y6HujRcATrjsqJVQzDQADfTSIK1crfGR1LuN3kIFktSsugDu7Gb/vRRjobxbOKjmfH9XCFZktlhpJ8AwiKmQbaxG9xofFQJMBY8rR2UxxNrWgDHEka6aR24vAbmOULEC8Qh1uffAK2geUdpEuQBN7QYab7wBHcY7S3jEIGIvtHDSCi4joKICSCYMFkC4JgljA2uO79MG5BQTL6fMdUB3QKpqYuCXLm3dCegGsATeIRihmFggxxmCdwNfCEzuO6AISYFgC4eTfUGDB1omxBHOGwF9oG2wPfBIh0Ftr3cHrg2dSVZkOAEa7wz1BjrwSWJZNWqQGRuffCTukOmx9UHFYqDdu0wu2yXJdtf9ZJiHJItY2gQpVxcmIBE6a+44SJik01d9bCW6r/NFMAmqU3TraEByuzNupuf8MriFLq0+aYETC0nYa98QO5PGdw84jWQqjCrCxE207r6OqRp6/XB21YXWLuVOrs+Cqcysf6QPsiAL+l8gjvKhyRb1wVJoG5t6KAfqe6LnwfwQuv8UsNU9TCXGWp5M4+CNC2x84oH05QPXE43ho/kh7IlaFLVnDdQVVaBOuSM2plTHXNpSVBCiCQCQcpNhqNYsbuDWz2QSVEqItzt3Q1dn5ej1SiYhnpXymUo9ZkJ+Zb7mWphCnHLcy2jM4ANSUAC5jB+C0riGs4/frVfrFRqTVKkFBK5uaW71bzpATYKJtdCXI3lTqVRQ1ZjJ3PcErMS8ywiZl3m3WnUBxDiFBSVJIuCCNCLR8xPhE8Qu4z47ow+zMqck8K0xmTDX0UzD3zzqh4lKmQf5HhHo7hzxhrvDhpukvS/xph9B0lMwQ9KI59Qo9kp7m1WSL6KSBY+PeIM3MY+x1XsaTTJC6xUH5sJVuhCldhP+CnKPVERG7GJpw5/E90LN4cP5P3RpicNpAv1fuhROHkgX6seyDsJczZGHT+T90O5TDpDqTk90aGmgptfqh7IWYoqA4LNCJdEuRNDohRlGT3RouH6XkKezDOl01CLdiLlR5VCLdmK5BvcsVAlMmUERoNERky+qKjSUJTawi4UtYGXSKSFlzZe+GlRWFNkX5Rynz3wznnwUG55QyA9iq1kAg3EZxX2kqUrSNDqzl0qsYoFaF1Ki1CIz6tSySD2Rzik1aSQSexF/rIAB9EU2qAd0XRCVVcmhJ8yEjKjkkRJOhMJHKDDguMhKa+aIU8nARomHIKbwoQnLoIgGRi5fs+bCIY12iUKLp82ExL9rQRAL0jdDOnmwbqDyh8mW082D+Ta7QgRihk32EOmWD3Qu3LJvDtqXRuTEGsJssW5Q+ZYJtpB2mmhD1oMi2sBsbSItsHuhUsG3jDpCpfcmBU/LAbQtyKJGOsm20Rk1LkpOkTj83LWtYCIidnWADYRENpK9OSxBOkQ0zKqubJidnJ5rWwiEmp5GsWQZTNWIt+VN9oZrlTrpDuYnkk2hsmYU+4ltFrqNo1Qe5nmrISCy0MiTpqf29kFdUlYOcqJTrodP2tD5dHmbalNx3G9x+32QIoE8UjtINwQQFA/t6I6cHFKxibvuME9XmCgbBW1+cETncdSpLCbAjQmwveHr1HnkdoJGgCfVApkZhYJWhQyqCjZN9Nf1RYrEPSHB7Ej9ewq2y+UqmJIhhZ5nKBYnxtF4Us5gsJV2d7DePM3DHFM3hTE8te5lptQaeRcgEclW20vHpNiYbmWw6w4FoX2kqHMR5nMsP1NXUuTOxhqvWU/UWJl9L0snOkFKk2UD3RA1JtUrNlxs6KOUnvFodS811YSgZSCdSnnCVQAmQbKG20YIuxdIjZlsLSVEnKm+3PutDZKlIWTbzhcjxh0FKAyqF7C/vhuciTmWqwixCXGNRlw8lQ0II2PoiBcTNyj3WpnX2Epv5qyLadwixTM1LZlBJKlZSbZdor8+X5y5UhKWxuANSItgyuXMPL4qxMl5pUnP9YyjczCc2Ya+vuixSWNZ10hE7KoCvrNqNj6jtFflksIIQEaHTuhs88ELUE89IErXGuXj8KaYsDrXFtka9pN9T6D+iPNXS0ruLcSPSWHsPUKoTFAlv7pfmWZVxaXHbkJTcDZI11tqfCNUM3ZXaA5drlcwRDxVffKkXOXQ+2GpyadwOPaeB5lh1l5SHm1NrTuhQsUnuIhAkjU6Xj3DXZXCVVSU4gplPm0b2mWEOKF9LXI8e+M+q3DjgDUMzc65LUhzYLlp4Ngf4Jun3RfzIpHmJvRWsHTdxeROqjtGicQeHmCqA23M4M4gyVXQo5XJda09c343FkkewxTqRSHnai2ULbdS0QtYQq5Cb2v7SIji+Y10SqaJlpCCjVagSRa2vMQ+wQ4tqdQ0L5w5kt33/ti2ppwdCGykDKjkLXPM/ZDGl0NcrieWmWFJUytQC77gjW8IntuK2Ztj+YM1jStOgkjyxab9+Wyf+7EBeHVUmhOVKbmwokPzDjgv4qJ/TDWC+ZZHZHE95gAOd4G1z6Y7QaXgBAJ8DHAnmNoGOJtEBcAm42MDvaC37VhHA6i5iBDR0BfWOtdUQgNyY6xtHG3fA5r2Agt3A1cC52IMCDaBIBO8dbS0RBC5rm1tI4mDAcreuAKbG14PIgF7R28GUkAQUgi1oHMHI4XAvHXuNY4hUcEqItBREdyjgDzgNRpAi4N7xHfsCcbnSBKremO8YD0wSA30jjytHWBFxAa30iEBTe20DdV9r+6ACo4Ek7xCLc+jCKA2PoQsmitpF8mwi0+Rjw9kJTrKZeTddPJJtDaihF66MHD13FlYfl0BaZecnesm1pNrSrCQD6ypakjxVHrHibw1w1iLCE4xhSm05mqUQ3bEm2hKsyUBRYXlFyVIUCEnW5QeetP4PU+Q4EdH9OMa5LBFRnJJE6uXX2XC44MzUvrsoqcJI3GY/VjI+jzxcqGEeLc7J4qn1OU3H02VTDy1WQxU1K7DmuwXfqyB3t7BMVvmXXsaFwCwHRcZzlUqWJKcidkpFtDCGHkktOOLCs2YbKskbHTtd+x5viR0I6dOvyD1Aw6Vyzim1Kbwy44gkGxyqDRCh4jQ8o1DGMhK8L+HeLp3CyVNT1ZecVINp0IqE1kYYQj0vKRYcrnkIrGGqjxZwxhmQw1T+jox1dMk2pRl1eI5NRUUICQtYtc3IudeZgEbOwpQujZxnw3XEcOsK4ecLLbkk4+iiiWelnVtnItOdCVA63ChzB1uI8lcMOEGIOJ+NXcGSREg7INqdqMxMIKkygSvIUlI85ZUbBNxso3sDG48BajjXBHSHrWGeJLzLVSxtTvK1s+UNOKM0wStpIDaiGwGS+QjklKeVo0rFww50a8G41x1RWmputYmqb07Ltv6dZNu3LbWhuWkXWsi4Ns9rEiIC1zx/xI4RYnwDjyW4eu9RMz1TflmKY+nstzIfc6ttVt09u6SORSdxYn1bV+H3Rj4KUqlU7GGHZN+Ym2ylpyZkXp+ZmVNhPWOFKEqKRdSb2ASCoAWixUCSwR0g6dgDi80ylMxRZhU31JAUpt4IUlcus73beCFg/xAQLKvGf4x4gY6p/Hit4lwXwuqWMWKJT2sONOMuOJZlXSUzExbKhQKyVtJOxAbHfEDyH6MV9D8pStGFJYBVikjCs6L/8AYxmHFXFPDet1SWpvC/DUjJU6WAcenW5JUu6+6QewAoBQSm+oIF1eCQY1b5QHHMN53OjRWbgbJmHdf+xhv0jJCVqOAsM45qlBRR8QTbrDMxLqILrYcYUtbK1DzyhSQATtrteA+QLGJ04qBEWSnvEZYq8i9YDWJyTfAA1Ailu4CwqfJENJp85T6ISVOJt5whpNzjeU9sbQULIi6k7cHWKLW1+dFpqM2mx7Yik1ubR2u0IuiBFUrLmhPpil1R4XOsWWszQNwFRS6o+DeLEiEc9MAHeG6pm2xEN334ZOTNiYfcliR8tsdTCyZ0FO8V9U1Y6mDom7DUwSWJ8TulrxyZ2xvEEJ0AedBfLxfz/fEBYsoqBtvCa6irkYgTUEhPn++EF1FI/fD7YDDYsJqa7+cIOKssC2cRVV1FI/fPfCSqqkD8YfbCXGSLmmsqG6xCorZA/GCKCqsW1z++El12374faYAxo3x+Ej8YIScxCPygjOF18/XPtMNncQK/KH2mFsMaJMV8W/GiIubrgIPbEUVyvqP0j7YaPVxRv2vfEsQtkzVzr2xEa/Uib9oRWV1hRO59sIrqRVz98PErmrk85PEnzokcNgzc2txWqWk+8xTfLirS5vE7QMaYOo0i43UqjUBOFZu0xIJcSO7tl1N9PCNNOai9zLUi5KyLwsLB7IsU7EbiCBxeRISSNgbRUXuLeEmuzKUmsvJTqLvNM3P81enrhg9xfk0EGRwwrs6nymdznfuQhH2xf5TFGZYeo+w0NDzlsrpzH61zf1wol5JQlIVz18P2vGTTvF6uzIHk9JpcsRupKXVFX85ZHuiKf4j4tmQAqfSyBsG2kAe8XPrMTyuKG8ln2m3IdcQ8FBJJSoZABub7Rr2F8UOSEsnrZltTBIzIWQACe72x4kexjieZV85XZy973S6U/ZaGLlUqLos7OzCrd7qj9pjLipLFRSNWHpSo73Pom7jrB8pkVO4npcrcHRycbSR6iYhZ7jfwupvn46pDt7iyX+sOm/mAx8/Q+4dQ4q+28ApWx79/TGJYaPaanJs9xT/ST4RywsjEnWHX8TKuqHo1SIq8/0peHCRlbTWpnLcjq5VKQfWpQMeQ7mwA0tHEjUc/RDKjFCnp2c6WGFmxeTwnUlr73JltAv6r+EQk90sppedMhhJgDa7s0pX2JH2x59G14Aq0NucWKEUBq5sUz0nMaOZvI6VSpfNzyLURv3q8YhZrpAcSXsxbqrDJ5ZJRs/1gTGbBRGkFvdVrkEQ+hEsXGY4v8AEaaFnMUzaLaWayt/1QIh5nGuMJxNpnE1VcHcZxy3svttEMRruY5RKT2TBshhw5Pz75Knpx1aj9ZZV7zCGZSleMANNecAUlWoJHohkLYPcjQw/oLpaqzCxqkmyh3iGB217okMOIQ7WWUKNh2jc7DsmJbvDzNFXWGx25fKopGU5vA6w1qtXEvSKjUGHi2tthYTsLLULAD1kawMpIIcacCVDOTsPttFbx7NGTozFKFwqZdzrH8VO2vpIjOrW2K7XZnyRoLQMcRYAR20AvOvaAub6x1wYGw3iEC3teOBsMpgT32jhrrEIDa0FvbW0GjjtEIF1OogSL+mO1jiPGIQHfS0CNNYCBAvzgpXIDYgct4EAki8ABY6m4g8REOGhtHRwHagxG0MQIBcWIgL8rQJOlucckaawCHC+1o5SdzbbnAi99tI5RIvfnBIFGvKOKNfTHAeMDc7RCABAGloHqwDHXJMCddohAAjQwUoPKFBe0d4xAMTCFDmI4JKd4UuYEWtraISJ9U7J7hDSoSwm5dbGcJzd4BHsO8NFVRP1obuVZP1oQXSzQ8ccWcdcRpaSk8V1GXVLyBzNy8oz1LSnLEdYtNzddiR3C5sBc3pFQlmJ6XUy4SDoUkGxSRzB5GItysJG6obuVpP1oDJZvmarVOO3FaryVEk6piCUmfiCZbm2FqlE3mHmx82t/ksoPaGgGYAkEgGJQ9KXjibBWJaYkX5Uxsm3rEYY5Xk/Xhq7XwPpxENYujuKMRtYtl8fS9adOIZac8uTOOpSoqdO+YbFJBKSnbKSBYRNcRuMONOKbsm9i+YkUpkUKSzLyTSmmUqV5yyFKUSo2AuTsNLXMZM7iC/75DN3EGn4wwSWNd4Y8Zsd8GzUmMFTNMckqo6H3pSoy63WkOgBJdRkWghRSADqQQkaaRKYP6T3FbAslOSFGGG5g1CoTFTm5meknnHn5l5WZa1FLyU9wACQAEgRgbmILn8YfbDReITf8ZEJyPVjXTT41qHblcGHw+LZnX/AOYisYw4z4w4kTjM1iypsuJlr9RKyzfVMNE2uQm5JJsNVEnujz81iE2/GGH0tiFW+eJa5L3Nhl8QITzESDOJEjTNGPMYhUdesMPma+r8pCqn3imsOYlFvPhhN4m7PnxnTuIbjRw+2I+bxCcp+cPthlBIXmXKoYmGvznvinVjERUVduK5P4gXr84fbFWqdeJuc5i6KITtTrma/bisVCrg37UQM/Xr3GcxX56uWvZdzDWIWF+pgknNDN2pj60VRytKOmaGq6wvbNDJIaxanKknkoQmqqkDeKiqqOE3zQmqpuHQKiNWFsWtdYsDdUNl1vXzoqy59ZPnwiqbWdlGFDYti66QLZ4QXXD9eKuZlzbNBevXfzoQNiyOVwn6ZhBdaJvZUQRdNt4DrD3wobEyqrqI84wiqqL+sYii5yvBS5fmYFxiSVUlEakwkqfWdiYYldoAr5wNyDoziz9IwRUyrvhqVje8FKxtEsQcdeYMHv40M+sA5wHWnvh0Kx6qYyIKlHRIvFeccUt1a1a5jcw+nH7slGYi8R9gRe8F7iqNgc+sccx1SbW5mClI3Bjs1zcGFCGKjYWMcpR0t43gouLkmBBNtBeDZkOSrnzgSqCHQ7iBNzc9whtwnWKI5SgLawAJUdTHG9/XAAGOYa3jjlve14KSbawKdYhDlE20Pqjlns6HWAzDU8hBbjMSddIKIcnUZrwJF1Ana3vguax0gbhQudCIYgPO94KoC+8DfeAsCQL7xAgA6+rnAhRHZtHKsFWBgL7QwA+8PKMXEVJtbaQVAHfutDHTMCDEvhNKH8QS7TiAUqCwe/zSf0RHyIWhmoOlxGYkJGhKP274pmOaiqery2wq6JZCW0+Gl1e8xbK3NydFYcUuxWkdlJOqjyjNn31zUw4+4e24oqV6TrGawEvOuEJJjo435bwFz3QCw62uhjtTsY4jQkRwsBrEIdfS19Y4X11gQUkxwG8QgFu+B3joDUGxiEOAF4HQ6x2h0jrG0Qh1oHa0cT9kdqLXEQgNhtBgRYawUg6EQKb312EFEDwBN9DA6kaWtADSGAcQOcdccoA6HWOBAOkAIN9I4kWtAAxwIO8EhxI0tvA25xygAnSBvcXMAgUka23gYApB5mOJI0gkBubGOB01Fo4+be8cDe2kQgIjiNdI4HW37COvYxAXsfpR/cq4Xf3t8Lf5Hl/9SPmz8I8yzgvjtRqVg5pFBkXcJyswuWpiRKsrdM5OpLhQ3ZJUUoQCq17JA5COjo4ueSlDBScXZ3R9F6LaNPEcSUoVYqS0z2auuXpPKxxVia4H4QVE+mZX+uOOJ8Rm5Nen/wD4hf646Ojw3lFX5T8Wfql5Rl9v6CH1Y+4L+E+ITvW53/Hq/XAKxFXzvWZw+l5UdHRFiKtvjPxYFlGX/MQ+rH3BfwgrhNjVpv8AxpgDXazoTVJo/wD80x0dE8oq/Kfiw/BGX/MQ+rH3HfHdXVvUZj+eYKaxVAf9/vn0qjo6J5RV+U/FgeUZf8xD6sfcD8c1UJuKg/8Az4unBWbmqrxmwDTKlMuTUnOYopUvMS7xztPNLm2krQtJ0UlQJBBFiCQY6Oi7DV6rrQTk+a7X3nNzjKsBDLq8o0IJ6Jfqx7vUfZlPBrhBbN+5XhC//wCiS3+pBk8HeEX96zCH+RJb/Ujo6PpS5H4lBPB3hGdDwswj/kSW/wBSCngzwgIueFmENeXxHK/6kdHRCWCK4JcGFEhXCPBard9Blfu4SXwG4HuefwcwOrS+uHpQ/wD+uOjoF2QTPR/4Dr7S+CmAyfHDkn93CJ6O/AB0XXwNwAfThqS+7jo6JdgYHycej3/eJ4e/mzJfdwHycOj1/eI4e/mxJfdx0dBuwnfJv6PJ/wDsI4e/mzJfdwPybOjv/eH4e/mzJfdx0dEuyBD0cOjwDb9wXh3+a8l93HfJw6PH94Xh1+a8l93HR0C7Id8m/o7/AN4Th1+a8j93AfJu6O394Th1+a8l93HR0MQ75N/R3/vCcOvzXkvu475N3R2/vCcOvzXkvu46OgEO+Td0dv7wnDr815L7uO+Td0dv7wnDr815L7uOjohDvk3dHY//AGB8OvzXkvu475NfR13/AHBOHX5ryP3UdHRLkB+TV0dLX/cE4dfmvI/dR3yaujpYn9wPh1+a8j91HR0QgA6NnR0/vA8OPzWkfuo49Gno4n/m/wDDf81ZH7qOjohAg6MfRtWcyuj7w2v/AO6kj91BvkxdGz+D5w1/NSQ+6jo6JcgB6MXRst/wfOGv5qSH3UCOjF0bBt0fOGv5qSH3UdHRCHfJi6Nn8Hzhr+akh91AfJj6Nuo+T7w2/NSQ+6jo6ImQE9GLo2W/4PnDX81JD7qAHRj6Np/5vnDX81JD7qOjoN2QH5MPRsH/ADfOGv5qSH3UAOjF0bDf/c+cNd//ALqSH3UdHQG2QH5MXRs/g+cNfzUkPuo75MXRs/g+cNfzUkPuo6OiXZAD0Yujbr/ufOGv5qSH3Ud8mHo2fwfOG35qSH3UdHQU9iHfJh6Ng/5vnDb81JD7qOPRh6Nh/wCb5w2/NSQ+6jo6FuyHfJh6Nn8Hzhr+akh91HfJh6Nn8Hzhr+akh91HR0S7Id8mHo2fwfOG35qSH3Ud8mHo2fwfOGv5qSH3UdHQbsgHyYejZc/7nzhr+akh91BmejR0cpZwPy3ALhyy4m9lowvIpI07w1HR0C7IA90Z+jjMqzTHAHhy4rfMvC0iT72oKejB0a7W+T3w1/NSQ+6jo6D2EA+S90arX+T5w2/NSQ+6jh0XejUf+b5w2/NSQ+6jo6IQH5LvRq/g+cNvzUkPuoA9F/o1J1HR84bevCkh91HR0Qhw6L/RqUb/ACe+G2v/AOFZH7qO+S90ar2+T5w2/NSQ+6jo6IQH5L/RqGnye+Gp/wD7UkPuo5XRf6NVh/ue+G35qSH3UdHRCHK6L/RqKQPk98NfzUkPuoL8l7o1fwfOG35qyP3UdHRCHfJe6NX8Hzht+asj91Bx0XujUP8Am+cNj6cKSH3UdHRCAfJg6Nf8Hvhr+akh91HfJg6Nf8Hvhr+akh91HR0QgHyYOjVe/wAnvhr+akh91A/Jf6NSt+j3w1/NSQ+6jo6IQ75MHRr/AIPfDX81JD7qO+TB0a/4PfDX81JD7qOjojId8mDo1/we+Gv5qSH3Ud8mDo1/we+Gv5qSH3UdHQEQ75MHRr/g98NfzUkPuo75MHRr/g98NfzUkPuo6OgkA+S/0ar3+T3w1/NSQ+6gfkwdGv8Ag98NfzUkPuo6OiEO+TB0a/4PfDX81JD7qO+TD0a/4PfDX81JD7qOjohDvkwdGv8Ag98NfzUkPuo75MHRr/g98NfzUkPuo6OiEP/Z" width="309px" alt="Crypto trading bot"/></p>
<p>In conclusion, the Huobi buying and selling bots are excellent instruments for traders trying to automate their buying and selling strategy. Its customizable features, along with the ability to adjust parameters in the middle of a commerce, make it a valuable asset for merchants in search of to maximize their earnings whereas minimizing threat. This feature is particularly useful when the market value fluctuates past the value vary of the trading technique. These bots enable merchants to customize their methods primarily based on earlier knowledge, allowing them to maximize their profits with minimal effort.</p>
<p>Trading bots provide an exciting opportunity to automate buying and selling strategies through auto buying and selling and open up new prospects in varied asset classes for both beginners and experienced merchants. Their capability to function at any time of day or evening and get rid of emotional influences provides them clear advantages – particularly in volatile  markets like crypto. Nonetheless, they don&#8217;t appear to be a assure for earnings and require a certain level of technical understanding as properly as cautious technique choice to be successful in the long term. With the proper provider and bot settings, though, they provide the potential to execute trades more precisely and get more out of the capital used.</p>
<p>Nevertheless, their effectiveness can differ significantly based mostly on the bot’s design, market dynamics, and the method of the dealer, which means they don&#8217;t ensure dependable profits. Utilizing buying and selling bots often requires granting them entry to buying and selling accounts and personal info, which might pose safety risks like hacking or theft. If the platform of the bot is compromised or if the bot has weaknesses, it may result in considerable monetary losses. The cryptocurrency market could be very unpredictable, and trading bots might not react well to fast shifts.</p>
<h3>Cryptohopper: Greatest Ai Automated Trading Bot</h3>
<p>Cryptohopper is arguably the most versatile cloud-based trading bot in the marketplace. It combines automated buying and selling and social buying and selling tools, allowing users to either arrange their own bot or copy proven strategies from the built-in market. In the world of cryptocurrency buying and selling, trading bots have turn into increasingly well-liked lately as more and more people search to automate their trading strategies. By using a buying and selling bot, merchants can take benefit of market opportunities 24/7, with out the need for constant monitoring or manual intervention. Crypto bot earnings vary dramatically based mostly on strategy, market situations, capital invested, and buying and selling fees. Some merchants report 5-15% monthly returns in favorable markets, whereas others lose cash due to <a href="https://taiseijyu-taku.zeongrow.com">https://taiseijyu-taku.zeongrow.com</a> poor configuration or opposed circumstances.</p>
<p>There are multiple choices on offer, with copy-trading being the simplest one. You can comply with and react to indicators or replicate strategies created by professionals. One of Pionex&#8217;s hottest buying and selling bots is the Grid Trading Bot, which is ideal for selling excessive and shopping for low. General, Pionex is very efficient, offering you with a payout each eight hours. It relies upon entirely on strategy quality, market circumstances, and threat management. A well-configured grid bot in a sideways market can generate consistent returns.</p>
<p>Using the trading platform simplifies the method of trading and expands the alternatives available to traders. In the following sections, we&#8217;ll look at the best cryptocurrency trading bots, both as part of existing crypto trade platforms and as standalone buying and selling platforms. It is price noting that crypto buying and selling bots and arbitrage scanners go hand in hand. For extra details about one of the best crypto arbitrage scanners, verify the video above. Trality, the European FinTech expert in automation, offers traders with entry to high-quality crypto buying and selling bots in only a few clicks.</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/best-crypto-buying-and-selling-bots-in-2026/">Best Crypto Buying And Selling Bots In 2026</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		<title>10 Greatest Ai Crypto Buying And Selling Bots July 2026</title>
		<link>http://old.trimagency.com/10-greatest-ai-crypto-buying-and-selling-bots-july/</link>
		<comments>http://old.trimagency.com/10-greatest-ai-crypto-buying-and-selling-bots-july/#comments</comments>
		<pubDate>Fri, 19 Jun 2026 00:54:08 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=5051</guid>
		<description><![CDATA[<p>The AI-powered crypto buying and selling bot is open to both everyday retail merchants and extra skilled users. After registering and choosing a technique, users can let the platform run the trades on its own. In this information, we discover one of the best AI crypto buying and selling bots in 2026—focusing on platforms that [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/10-greatest-ai-crypto-buying-and-selling-bots-july/">10 Greatest Ai Crypto Buying And Selling Bots July 2026</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>The AI-powered crypto buying and selling bot is open to both everyday retail merchants and extra skilled users. After registering and choosing a technique, users can let the platform run the trades on its own. In this information, we discover one of the best AI crypto buying and selling bots in 2026—focusing on platforms that are dependable, accessible, and designed for real-world outcomes. AI crypto quant buying and selling bots have taken over a lot of the heavy lifting. Tasks that after required experience—like scanning markets, executing trades, and adjusting strategies—can now run routinely within the background.</p>
<h2>Backtesting &amp; Historic Efficiency</h2>
<p>When you consider the value of creating or paying for a crypto buying and selling bot service, the web profits won&#8217;t amount to a lot, if something. They turn  market knowledge into choices and then into orders you could monitor and refine. You choose the beans and energy, the machine handles grinding, brewing, and timing, and also you style the end result to resolve if you will keep the identical recipe or make a small tweak. Stoic AI positions itself as an automatic crypto portfolio management. Customers hyperlink an change account, choose a strategy, set threat bounds, and let the app handle orders inside these constraints.</p>
<h3>Comparability Of Crypto Bot Buying And Selling Apps</h3>
<p>The platform now consists of AI-assisted bot configuration, superior backtesting, and a growing collection of built-in buying and selling strategies designed for various market conditions. Recent updates have significantly expanded the platform’s capabilities with the introduction of QuantPilot, an AI-powered technique analysis and optimization platform. Most platforms mix real-time market data, quantitative evaluation, automated execution systems, and risk management instruments right into a single buying and selling framework. Instead of relying on one indicator or mounted buying and selling rule, these methods consider a number of market alerts concurrently earlier than making buying and selling decisions. The greatest AI trading platforms at present are now not simple signal tools.</p>
<p>For users who want extra management, platforms like 3Commas, Cryptohopper, Pionex, and Bitsgap every serve completely different wants. Platform reliability, liquidity, fees, and consumer expectations also matter. It is especially attractive for users who need simple crypto automation somewhat than a fancy buying and selling system. The finest AI quant trading bot is dependent upon how much accountability  the consumer desires to maintain. Hummingbot is an open-source Python framework that permits traders to build bots on 20+ centralized and decentralized exchanges. Making $1,000 a day buying and selling cryptocurrency is not a fantasy, it is a capital allocation question combined with a method execution query.</p>
<p>Cryptohopper combines a visible Technique Designer, a curated Marketplace, and Social buying and selling in a cloud setting that connects to major exchanges by way of API keys. It helps you move <a href="https://taiseijyu-taku.arbinio.com">https://taiseijyu-taku.arbinio.com</a> from an idea to an automated plan without working your individual server. AI buying and selling bots make sense if you&#8217;d like structured, repeatable execution without staring at charts all day, however nonetheless plan to observe, take a look at, and intervene. They shine when used as decision assistants and execution engines, not crystal balls. Finest for renting the most advanced buying and selling bots or creating them your self.</p>
<p>You connect trade accounts by way of API keys, select a template or construct your individual rules, and automate orders with monitoring and alerts. Further revolutionary choices embody Trality’s proprietary Bot Optimizer; margin trading performance; Trality Wallet; Trality Rule Builder; and Trality Masterclass. Now the best crypto trading bots are at your fingertips with Trality’s mobile app (iOS &amp; Android). You will define the quantities to apportion on every of the strategies and the bots will apply the principles mechanically.</p>
<p>Compatibility along with your preferred cryptocurrency exchange is non-negotiable. Some bots solely help a couple of platforms (e.g., Binance or Coinbase), whereas others connect to a wide selection of world exchanges. Let AI interpret information, market conditions, and asset performance to rebalance your portfolio routinely based mostly in your technique. The dealer picks a bot designed for one market regime (sideways) and runs it in one other (trending), or never updates the parameters as market circumstances change. The second commonest cause is over-leverage, where the bot&#8217;s place size compounds losses quicker than the trader can intervene. The dealer who knows they should cut losses at 2% however freezes when the moment comes will lose much less cash with an automatic stop-loss.</p>
<p>Assess whether it performed as expected and think about adding additional filters or variables to enhance the general strategy. We took a big leap of religion with Appinventiv who helped us translate our vision into reality with the peerlessly comprehensive Edamama eCommerce resolution. We are counting to get Edamama to launch on time and inside budget, while rolling out the subsequent section of the platform with Appinventiv. We selected Appinventiv to construct our financial literacy and money administration app from begin to finish.</p>
<p>Without this, performance metrics reflect curve becoming somewhat than market behavior. It is to start with a managed, well-architected system that can grow over time. Bots enforce risk rules without exception, with limits applied each time. Bots exploit micro worth variations across venues or liquidity pools. Public disclosures and trade analyses present that large market makers rely on automated unfold seize as a gentle, repeatable income source rather than one-off directional bets.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="309px" alt="Crypto trading bot"/></p>
<p>This manager can help you in a number of methods like suggesting what currencies to pay heed to or the method to handle one’s capital. Coinrule is considered one of the fastest-growing trading bot suppliers with industry-leading easy UX. Gunbot subscriptions (barring Ultimate) enable integrating a limited variety of exchanges. However, users simply swap amongst exchanges with out paying something additional. As a further perk, Bitsgap doubles as a crypto portfolio tracker for portfolio monitoring, checking worth developments, trade influence evaluation, PnL statements, exercise logging, and extra. Prompting PionexGPT creates a Pine Script, with which a user backtests at TradingView, adjust indicators if want be, and configure it to auto-trade at Pionex.</p>
<p>Newbies often want clear automation before they need deep customization. Understanding your risk tolerance helps you choose a bot that enhances your buying and selling temperament and financial timeline. This phase is the place AI delivers real worth, by deciphering complicated, non-linear information relationships which would possibly be invisible to most conventional methods.</p>
<p>SaintQuant&#8217;s platform has processed 4M+ trades and maintains a verified average day by day return on the platform. AI trading bots turn out to be essential instruments as merchants search consistent execution in risky crypto markets. Connecting API keys to AI crypto trading agents carries inherent dangers.</p>
<p>Forex merchants use MetaTrader 5 and Capitalise.ai to automate guidelines and enhance execution self-discipline. This could appeal to traders who need to automate strategies with out coding. As A Substitute of writing code, customers can describe a condition and let the platform turn that logic into an automatic buying and selling plan. Grid bots might help automate shopping for and selling inside a specific worth vary. DCA bots may help merchants construct positions steadily as an alternative of constructing one large entry.</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/10-greatest-ai-crypto-buying-and-selling-bots-july/">10 Greatest Ai Crypto Buying And Selling Bots July 2026</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
			<wfw:commentRss>http://old.trimagency.com/10-greatest-ai-crypto-buying-and-selling-bots-july/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>adobe generative ai 4</title>
		<link>http://old.trimagency.com/adobe-generative-ai-4/</link>
		<comments>http://old.trimagency.com/adobe-generative-ai-4/#comments</comments>
		<pubDate>Sun, 14 Jun 2026 23:52:05 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=3211</guid>
		<description><![CDATA[<p>Adobes new AI tool can edit 10,000 images in one click Users Fear Adobe Plans to Train Its Firefly AI With Their Data The application is receiving a feature that speeds up the task by automatically selecting all the objects in an image. That removes the need for designers to manually draw a line around [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/adobe-generative-ai-4/">adobe generative ai 4</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Adobes new AI tool can edit 10,000 images in one click<br />
<h1>Users Fear Adobe Plans to Train Its Firefly AI With Their Data</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="adobe generative ai"/></p>
<p>
<p>The application is receiving a feature that speeds up the task by automatically selecting all the objects in an image. That removes the need for designers to manually draw a line around each item they wish to edit. The first new feature in Illustrator, Objects on Path, makes it easier to move objects to specific locations within an image. That task can involve a significant amount of work in some cases, such as when a designer wishes to place a large number of objects at exactly the same distance from one another. According to Adobe, making slight edits to a video is another use case that the feature supports.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="adobe generative ai"/></p>
<p>
<p>The reversal removes certain reporting requirements for developers of powerful foundation models. GhostGPT is marketed as an “uncensored AI” and is likely a wrapper for a jailbroken version of ChatGPT or an open-source GenAI model, the Abnormal Security researchers wrote. Editors don’t want something replaced with an object akin to what they select to remove, they want it replaced with what is around it. But, somehow, Adobe’s AI just isn’t coded to understand this and it repeatedly generates the weirdest stuff because of it.</p>
</p>
<p>
<p>Firefly also works here by allowing users to expand images to fit a new aspect ratio. Before licensing the image, all Stock customers can now perform a range of “Generative Edits” to Adobe Stock images, including photos and illustrations. These features were rolled out to business customers earlier this year but are now available to all. The current norm for using AI art generators is to type prompts into its UI &#8216;ask&#8217; the algorithm to create an image, video or 3D object.</p>
</p>
<p>
<h2>From our editors straight to your inbox</h2>
</p>
<p>
<p>There is a range for this, and you don’t need to measure pixels if you roughly know what a 1024&#215;1024 block in your image looks like. There are multiple selection tools settings, and you can see changes to your selection in a live preview. Photoshop’s AI analyzes the area around your selection as well as the entire image. You may get bad results if the context is unclear, or perhaps a guideline violation warning if it’s something Adobe decided is problematic. It’s important to know that Adobe’s AI is heavily biased against women in images. The development comes as businesses face increasing pressure to deliver personalized experiences while managing complex data privacy requirements and technical infrastructure costs.</p>
</p>
<p>
<p>A basic tutorial on how to best prompt their AI model in Photoshop would also be very helpful, because prompting doesn’t work in the same way as using Adobe Firefly’s website. I’d rather see them make these simple improvements to the user experience before getting an update with a new feature added. Previously available in the beta online app, the fully-fledged desktop version of Photoshop will now have a tool for generating a new background for an existing photo. The tool requires first using AI to remove the background first before generating a new one. The previously-teased generative extend is arriving in to the beta version of Adobe Premiere Pro, allowing video editors to fill in gaps and extend the footage without leaving the popular app.</p>
</p>
<p>
<h2>Expand videos that are too short without reshooting</h2>
</p>
<p>
<p>Its digital experience segment saw revenue rise 10% to $1.35 billion, with digital experience subscription revenue up 12% to $1.23 billion. The company said it is seeing strong growth from its Adobe Experience Platform (AEP), as well as with Adobe Experience Manager and Workfront. Founded in 1993, The Motley Fool is a financial services company dedicated to making the world smarter, happier, and richer. The Motley Fool reaches millions of people every month through our premium investing solutions, free guidance and market analysis on Fool.com, personal finance education, top-rated podcasts, and non-profit The Motley Fool Foundation. Signed in users are eligible for personalised offers and content recommendations.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="301px" alt="adobe generative ai"/></p>
<p>
<p>PetaPixel was able to progress to the purchase of additional credits with both an All Apps and Photography plan and at no point did the Creative Cloud app provide an alert that this was not necessary. To test these limits, PetaPixel asked Photoshop to generate an image at 15,000 by 15,000 pixels. That said, Adobe adds that usage rates may vary and plans are subject to change, so it’s possible higher resolution generations will cost more credits in the future, subject to Adobe’s discretion. This new mobile toolbar offers faster access to the most popular features and photo editing tools. Another much-requested improvement is direct access to photo libraries in Lightroom mobile and desktop apps.</p>
</p>
<p>
<h2>General Image Controls</h2>
</p>
<p>
<p>Photoshop’s existing Generative Fill feature gets new options to upload a reference image to guide its output, and to generate variant images with a similar content and style. The collaboration combines IBM’s watsonx.ai platform with Salesforce’s Einstein 1 software, enabling customers to make data-driven decisions and access actions directly from their workflows. With Generative Extend (beta), creators and editors can extend existing clips using Firefly to smooth out transitions or hold on shots longer to get perfectly synced edits — rather than reshoot something. Second, it will deliver add-ons to current offerings, such as Acrobat AI Assistant. And fourth, it will make stand-alone AI-first products like GenStudio and Firefly services. This incredible tool will reduce the time and patience it takes to remove objects from your moving footage.</p>
</p>
<p>
<h3>Adobe Stock’s continued commitment to creators in the era of Generative AI &#8211; the Adobe Blog</h3>
<p>Adobe Stock’s continued commitment to creators in the era of Generative AI.</p>
<p>Posted: Tue, 10 Sep 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMilAFBVV95cUxOQ0NKWUoxZVB1YlNXQVBrVm5EckU4Z1hkYzBxaThjYThuYVJiTXNLb1d0bjdmNUpPVmo0ZmtiSmFWZjZfX2Y1SWtOT3V2ZG1RLUNWcjZaN0tMV0U3WnZBQ1dPMUFIVTdKelhhOE9QcHlUQUR4Y0pRZnd4Mm1WQ01yNUpqNTlhZEtSMGtKS0xVNVBBMUNN?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>For example, it’s possible to remove an unwanted object from a sequence of frames, add set dressing to a scene, or change an actor’s wardrobe. The generative fill view presents us with a separate view and a number of all-new tools for making selections in order to add or remove content from our images. For our exploration of the various additional controls and options within Firefly, we’ll start off with a generated set of images based on a prompt. To review how to achieve this, have a look at the article “Exploring Text to Image with Adobe Firefly”. Firefly is committed to providing accessible and inclusive features to all individuals, including users working with assistive devices such as speech recognition software and screen readers. Firefly is continuously enhanced to strive to meet the needs of all types of users, including individuals with visual, hearing, cognitive, motor, or other impairments, and is designed to conform to worldwide accessibility standards.</p>
</p>
<p>
<p>Within the segment, Creative revenue rose 10% to $3.19 billion, while Document Cloud revenue grew 18% to $807 million. The company credited growth in creative revenue to new subscriptions helped by interest in AI features such as generative fill-in Photoshop. Meanwhile, for Document Cloud, the company said its AI voice assistant, multi-document support, PDF collaboration, and voice-enabled conversations on Android devices were all helping drive engagement.</p>
</p>
<p>
<p>The company has released Photoshop with generative AI (gen AI) features, available to anyone with a Creative Cloud subscription. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. &#8220;There&#8217;s so many questions when it comes to how these LLMs are trained, &#8221; she said. &#8220;You&#8217;re starting to see that nuance really become very important for a lot of enterprises. That&#8217;s why I think you&#8217;re starting to see this interesting shift that&#8217;s happening in the workflow around utilizing these tools.&#8221;</p>
</p>
<p>
<p>The video model joins others such as the Image Model, Vector Model and Design Model. It offers several features that would be attractive to cybercriminals, including a “strict no-logs policy” ensuring no records are kept of conversations, and convenient access via a Telegram bot. Other updates in Premiere Pro beta include AI-caption translation, which sounds more than a little bit risky considering the unreliability of automatic translation. Meanwhile After Effects gets improved HDR support and improved caching for longer playback footage from Canon C80 and C400 cameras can now be automatically uploaded to Frame.io.</p>
</p>
<p>
<h3>From impossible to POSSIBLE: Tata Consultancy Services uses Adobe Firefly generative AI and Acrobat AI Assistant to turn hours of work into minutes &#8211; the Adobe Blog</h3>
<p>From impossible to POSSIBLE: Tata Consultancy Services uses Adobe Firefly generative AI and Acrobat AI Assistant to turn hours of work into minutes.</p>
<p>Posted: Thu, 29 Aug 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMi_wFBVV95cUxQN3pMNHByZlFwaFRYSnlFTTlMalh6OTUyeXRYUFBnaEQ2RjJQdVBscWVjVkpUWmtJc1ZqOVVfc21GVGpZRWZ0OGpJdFRvT21PbkVSNVpNYmhwNEM3Qk1lNTl0dnlfQjIzMmJMeHVTSlMtVmFxdU8tV2h3dHZaTEhYX2lLVDQ0XzcxS1VCNm0zNjhlMy1iZ2NIVzAwTDJMUW40eTlTUm5QWG1RNmZVMEVvUGFDcmZqcnhkLXc0UmxaMGJsQXlyQTI3Uk12VHRUY2xmXzNWc0JVSEdlVVU0ZzFjSHRjX2tHX3cwUXZFb0FZbHFERHR3eEVRRWVaZzhvdk0?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Photoshop, the company’s flagship image editing application, is being updated as well. The most significant addition is an AI-powered feature called Distraction Removal. One way or another, AI on platforms like Adobe Stock changes how people create, edit, and license content. It’s unclear precisely how it will impact the bottom line of photographers or if the impact will be evenly felt across the  entire photo industry.</p>
</p>
<p>
<p>The push to build in more generative AI tools is hardly a surprising one, with several of company’s recent announcements centered on the same theme. There were also significant announcements for enterprise brand and marketing teams, most notably a new version of the Adobe GenStudio content supply chain solution for delivering highly personalized marketing campaigns at scale. The vendor also showcased new enterprise capabilities recently added to Adobe Express, its general-purpose content design tool. Generative AI once again topped the bill at this year’s Adobe MAX conference, which wrapped up today. Its traditional Sneaks session previewed further innovations it has under development.</p>
</p>
<p>
<p>Matthew Finnegan covers Microsoft, collaboration and productivity software, AR/VR, and other enterprise IT topics. In travel, generative AI’s capabilities excite consumers for price comparisons, custom itineraries, and suggestions based on past preferences. The study highlights how AI simplifies trip planning and enriches the overall experience. The study surveyed 2,000 consumers and 402 marketers to explore generative AI’s impact on brand interactions and consumer expectations. Within one year of being launched, Firefly was brought into Photoshop, Express, Illustrator, Substance 3D and more, while  supporting various workflows in Creative Cloud applications.</p>
</p>
<p>
<p>Adobe’s Generative Fill and Expand tools were first released in 2023 and have received several updates since. While generative AI images can be a controversial topic, there’s no doubt users can gain benefits by utilizing AI. False positives in content guideline warnings and inconsistent results often make simple tasks, like removing an object or extending an image, incredibly frustrating. They include Generative Extend for video editing, which enables users to extend clips to cover holes in footage, hold shots longer and make transitions smoother.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="301px" alt="adobe generative ai"/></p>
<p>
<p>Those artists who do use AI image generators have been trying to find ways to take back control, as Martin Nebelong explains in his op ed, &#8216;AI art is only a threat if we let &#8220;prompt-jockeys&#8221; take control&#8217;. This is where Alexandru sees the future is for gen AI, in giving artists greater control over gen AI&#8217;s output. Generative Remove and Generative Fill are technically different, although their use cases overlap. Adobe itself has advocated for the use of Generative Fill to remove objects from images in Photoshop, for example. I believe the most significant ethical challenges for companies like Adobe are mitigating harmful biases, ensuring inclusivity, and maintaining user trust. ​The potential for AI to inadvertently perpetuate stereotypes or generate harmful and misleading content is a concern that requires ongoing vigilance and robust safeguards.</p>
</p>
<p>
<ul>
<li>Another AI tool that builds on existing original content rather than creating something entirely from scratch is Adobe Firefly’s ability to turn a still image into a video.</li>
<li>Generative Remove and Generative Fill are technically different, although their use cases overlap.</li>
<li>Since many mobile devices shoot HDR photos, software has continually expanded its support for HDR image editing, Lightroom among them.</li>
<li>Final tweaks can be made using Generative Fill with the new Enhance Detail, a feature that allows you to modify images using text prompts.</li>
</ul>
<p>
<p>Substance 3D Viewer, entering open beta at Adobe MAX, is designed to unlock 3D in 2D design workflows by allowing 3D files to be opened, viewed and used across design teams. This will improve interoperability with other RTX-accelerated Adobe apps like Photoshop. Procreate&#8217;s CEO didn&#8217;t mince words, declaring he &#8220;fucking hated AI&#8221; and swearing that tech would never reach their app. Affinity swooped in and assured its users that there wouldn&#8217;t be generative AI on their suite of products either. When the company first rolled out AI features in Photoshop, reactions were somewhat mixed, with some creatives seeing potential and others being more skeptical.</p></p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/adobe-generative-ai-4/">adobe generative ai 4</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai 1</title>
		<link>http://old.trimagency.com/a16z-generative-ai-1/</link>
		<comments>http://old.trimagency.com/a16z-generative-ai-1/#comments</comments>
		<pubDate>Sun, 14 Jun 2026 10:28:40 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=2974</guid>
		<description><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to the rapid rise of DeepSeek All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-1/">a16z generative ai 1</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments<br />
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="301px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which  can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>How Global Brands Use Geo-Targeting To Increase Conversions; Interview With The CMO Of Geo Targetly</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="a16z generative ai"/></p>
<p>
<p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
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" width="305px" alt="a16z generative ai"/></p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
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" width="306px" alt="a16z generative ai"/></p>
<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p>
<h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai-1/">a16z generative ai 1</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>a16z generative ai</title>
		<link>http://old.trimagency.com/a16z-generative-ai/</link>
		<comments>http://old.trimagency.com/a16z-generative-ai/#comments</comments>
		<pubDate>Fri, 12 Jun 2026 18:43:46 +0000</pubDate>
		<dc:creator><![CDATA[Miguel Lozano]]></dc:creator>
				<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://old.trimagency.com/?p=2946</guid>
		<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
]]></description>
				<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents<br />
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="309px" alt="a16z generative ai"/></p>
<p>
<p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p>
<p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
<p>
<h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
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<p>
<p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="a16z generative ai"/></p>
<p>
<p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p>
<h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p>
<p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p>
<h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p>
<p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p>
<h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p>
<p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p>
<p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p>
<p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="a16z generative ai"/></p>
<p>
<p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p>
<h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
</p>
<p>
<p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="a16z generative ai"/></p>
<p>
<p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p>
<h2>TechBullion</h2>
</p>
<p>
<p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p>
<p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a rel="nofollow" href="http://old.trimagency.com/a16z-generative-ai/">a16z generative ai</a> appeared first on <a rel="nofollow" href="http://old.trimagency.com">Trim Agency</a>.</p>
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