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	<title>BS Marine</title>
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		<title>Coronavirus disease 2019</title>
		<link>https://www.bs-marine.net/coronavirus-disease-2019/</link>
		
		<dc:creator><![CDATA[bs-marine_editor]]></dc:creator>
		<pubDate>Thu, 02 Jul 2026 21:00:38 +0000</pubDate>
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					<description><![CDATA[<p>COVID-19 is a contagious disease caused by the coronavirus SARS-CoV-2. In January 2020, the disease spread worldwide, resulting in the COVID-19 pandemic. The symptoms of COVID‑19 can vary but often include fever,[7] fatigue, cough, breathing difficulties, loss of smell, and loss of taste.[8][9][10] Symptoms may...</p>
<p>The post <a href="https://www.bs-marine.net/coronavirus-disease-2019/">Coronavirus disease 2019</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><a href='https://en.wikipedia.org/'>COVID-19</a> is a contagious disease caused by the coronavirus SARS-CoV-2. In January 2020, the disease spread worldwide, resulting in the COVID-19 pandemic.</p>
<p>The symptoms of COVID‑19 can vary but often include fever,[7] fatigue, cough, breathing difficulties, loss of smell, and loss of taste.[8][9][10] Symptoms may begin one to fourteen days after exposure to the virus. At least a third of people who are infected do not develop noticeable symptoms.[11][12] Of those who develop symptoms noticeable enough to be classified as patients, most (81%) develop mild to moderate symptoms (up to mild pneumonia), while 14% develop severe symptoms (dyspnea, hypoxia, or more than 50% lung involvement on imaging), and 5% develop critical symptoms (respiratory failure, shock, or multiorgan dysfunction).[13] Older people have a higher risk of developing severe symptoms. Some complications result in death. Some people continue to experience a range of effects (long COVID) for months or years after infection, and damage to organs has been observed.[14] Multi-year studies on the long-term effects are ongoing.[15]</p>
<p>COVID‑19 transmission occurs when infectious particles are breathed in or come into contact with the eyes, nose, or mouth. The risk is highest when people are in close proximity, but small airborne particles containing the virus can remain suspended in the air and travel over longer distances, particularly indoors. Transmission can also occur when people touch their eyes, nose, or mouth after touching surfaces or objects that have been contaminated by the virus. People remain contagious for up to 20 days and can spread the virus even if they do not develop symptoms.[16]</p>
<p>Testing methods for COVID-19 to detect the virus&#8217;s nucleic acid include real-time reverse transcription polymerase chain reaction (RT‑PCR),[17][18] transcription-mediated amplification,[17][18][19] and reverse transcription loop-mediated isothermal amplification (RT‑LAMP)[17][18] from a nasopharyngeal swab.[20]</p>
<p>Several COVID-19 vaccines have been approved and distributed in various countries, many of which have initiated mass vaccination campaigns. Other preventive measures include physical or social distancing, quarantining, ventilation of indoor spaces, use of face masks or coverings in public, covering coughs and sneezes, hand washing, and keeping unwashed hands away from the face. While drugs have been developed to inhibit the virus, the primary treatment is still symptomatic, managing the disease through supportive care, isolation, and experimental measures.</p>
<p>The post <a href="https://www.bs-marine.net/coronavirus-disease-2019/">Coronavirus disease 2019</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
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		<item>
		<title>a16z generative ai</title>
		<link>https://www.bs-marine.net/a16z-generative-ai-3/</link>
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		<dc:creator><![CDATA[bs-marine_editor]]></dc:creator>
		<pubDate>Thu, 02 Jul 2026 18:54:30 +0000</pubDate>
				<category><![CDATA[! Без рубрики]]></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...</p>
<p>The post <a href="https://www.bs-marine.net/a16z-generative-ai-3/">a16z generative ai</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents </p>
<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>
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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>
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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 decoding="async" 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>
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GLfzZP3Xf+d/83i1Q8yOZqvaTil/JTnXjbXuNsSM8Yb22l+xDLigurin5NjllUE+HJ+1dDPm1cIOnGV9ba4MyfWkMmLH4/RlGSGNcJ/J8GXUdry3UoLb03buF7SvvJzSbjd+FmrCWNcUr4ZrhbiY9PhtJyW1+/j3HQ01rjzRnG5WbNa6JnPzZJHc1CdexnFyQ3Pm1z4EXlbilY5T6uveD7Ok+d4pxalWx15thPWrE2nB8eMGakcrZ+pw0s4+KZKWNr3/AKDh2jGS48r9ZUxw1UZOuj8LdksPh4ZN8DTqTvwdjxx8SvPH8VPl03+pFd7spfc73xvk5L3dEaUGKO2EYrhKKX7BQc7dqYkxPoKDCOJ9sf8AtYf34/4yPGHtPtf/ANrD+/H/ABkeNo1PGKimNCaHE0JEfEmQb5CJRHidyRBsu00erCrxDYgyBiAgYAIoYCGQAAAEhiAoYgABAAAADACE1aEl4E2RSI1BEdFU5lyKUAAMIjJEWmTZHkKSR6v7LZ4w0803X3zf/wBYnk22btBex8tes+nuRnl4s9e39Lh5gtVDzR45zkv9z/UO8l+aX6mWnsXqofmRzNXJubV8HCc3+aX6neWJzjhmubjHf/Id/wCOSurp1WKN9VFFbd2XeBnm69xpM2q2uf5K8uK1TSZc2mvaQbfg/wBrKdWGXZyu9set20mxS0y97/Q1tSfWX6LqG3jj/wDRWpxZseLby/0RqwRtq+PINnmXQpNezoRUM6VOzkVy/Js6+p6M5Hs9pzWeF3PPjXn5DnoYzX+18fMvgibx+K+nBqVLwjDDsxLwS/Vklo4rounyZqp+S/UTuvD5FtZ6KJwpeL9nkU3bX7mjI/V5MsJct+SZhrHp+8j5huXmjyq1uT8xJa3J+Y3jzPTqS80O15o8ytVk/MQz6/LHpImDb9r2vRYf34/4yPHs6PauryZMMVJ8b0/nTOXGdm4xTY0A0igItckyMiCEupsxKooytGyPRFSmIYggAAIBAxiYCsYhgMAABjIbh7gGBHcG4CQC3BuAYC3BuAGVSkWWUzDfFFl+J8FKLsXQq1MGMg2GAIEOgqNG/s9+o/i/hGFmzQq4v3kviz1PKxRdoveIXdGMaVS6Hpux3u0yvmvVZwI4zqdl51j3QlwpU0/BMN8b9dvH+GKbvwIZEPDw6+ZZlhdCt+Vk8foMeVUyjJko1K6SalNrkzPUK6XLMuq1L6L3Ilo8fKvq3yT1vMboZGaIkYwVrgk3XzNY51VqHaOZJJWzoz5dfyc/pKS8DFjc8LHqOdr4fh7TSpe05+pS/wBvX6Dw5r4fUErfLzXUqmxRyFeSRGkMkqtFElWJy8XYZZcPzFr5bMSj7l/yHHlXL3samyDYlI28rR37oTbkuSuNeZe3HbwFjHql92l/UvozFsOjq4/dr4l9GY6LGaivcFkgYERMGDAF1RsRjj1NaYSmAAVAIYAIAAgYhgAAAAZO9DvSsQFvej74pAou70O9KQAu70O9KaCiDRjycjn1KMfEkasiDfFWjRFUUY/xI0IpTIMkJhCQNiAAo26J1B/F/BiRs034H8X8IVYveVke9ZVJgmZFyztEvSmUMimFd7sPXuWTupdGm4X4PyPQy6Hjey8ijqML/rS/Xj+T2MjNbijOupzdVKjpZnwcvUx+QduNY4xuW5/I2w4SKsePmvIvp37PA1It5MmZTlK98148TcTVptcq2TbuqjKXWyEovrRhyRcm+K5LkZ2teXUU2c3UZpyfq0vO11L3jvzZB4q/5Jh2quLfiS4vgTvkrkyLrXDIRyzI4eURyEq3l8Rg+V482LNDf15JRBzRY4crfGaeBFT06Nu5CpFYxhemJwwUbVAHAqOdrfwpf1L6MwnR7RhUE/6l9Gc0BiYABFkSTIgSRashSuhCwlae8DeZrY9xWWnvA7wzWFgad4d4ZrYWwNPeB3hntkXJgau8DvDHvY9zAkDGJkVFiGxBDASGUAABA49TauUYLNmJ2kVYltrkmhTQY2FSFYxNEEaESZEqg6OghuxP439Ec46XZudRxtP87f7IlDnp2QeCRrWqjZPLmiiKwd3JEe7ZolqI2TU4kVnxXGUZflkpfoz2znaT9h5K4+Z6HszOp4Vze31X8v8AxCxeNW5p8GDUTo3ypxTOZq1QdYr9Nx4oyyZJUvqXYNdizQ3Y5Xfs5Ri1nZqz4Gnaa9aLXgcXRYc2nnJRclJOMnFdJ0+Cptj0ks76XZS8z6mVdtfeS3YYpNJOKl60H1OhLV6fu4tzguFw3yhta7sctVzXiVvUGiGo0+1evj6efJzcmvjGXEFtp9XyxqdlmXWKKt8L3EcOTvVuV0c6GnyanKpP1YLjyR6DT4IxiopcLgG2/RjhUTPlfrGrNLajCrbftM0E5UiuEiyUSuUaJrnYsiV5W4kVJojJ2yxmjv5As0rE4iiuS6iGtk3BX+b+GYWbdb+BfF/DMJYABBZURZElIIoAfQqssm+Cmys1OwsjYWESsdkLCwLBkLCwJNkJBYmAiSIE0BNAxICBMiSoVFAhioYADAAFRs0/QypF2ndS95FaJDiJkUVUxsSGREWIlIiFKi/B0+ZSWYpJJ35lGhDZneoivEi9YvAYaMruXA5bq8Sn0jxUWS9IlXSveOtO0Si5ebOv2DrO6zKMn6mT1Xb6PwZxo5ZeSQd43w37XXka6Wp2x76Xkc/VRe40aHP3mDFkv8UIthqIesmcnplRxR9X3ox6rTNyUo1ceU/I6UVSRGcbV/8AjNStxzMfdbO7yQVyl66qrvxsU+zNNuktra2p85JcfuacuKL8vczM8S55fSuosP8AHviiHZum2QaUo70ne935mfJpISdQhVN+s+XXkjf3Kpc2l0V8IJTjHhL5+BMJwz1RigoqkaMZQnbLpPbGyWnJm1M7dEY/hb9tFcndvzZmy67u8jxy/DtTTXgyZvjnbnrXFNg4ix5YuNp2vNEZZ0ZymwOJGUCMtQiHpCLGbi6uCuaId82JzZWdUar8K+IyM16p+qveY2aiGyIWIqEyUOhBli6BFc+hUWZWVlZpDEAQwAAAAAAQwSHQVFjQAgJodAhgKgoYARoKGACodDAAGnQABpjK1f6jM0ZNdC+GS+vDDWpxJkIkwhMVDEQRaKclX49C+RRm6/I1x9L4Sj7GNfD+44yCzrkYPe/Yg5q7Iy4JKRUEOopq4zXnwPxCPj7yj1/YWXdpcVccbf0N75+Rxvs3a0kf7mSv/kzprLz/AAzy8p9ezj4vIzlSJJ2VZQ3GDNZncpc+XuN866FDgn0K3lZJZGuhD1pM1uConjiupKZVWPFSK9TPii3LkME5ObfkZc+Ro5Pay+9XwK/1OvHr7jj9rP79/DE1x9c/6f6qdPqJQTS6PwL8et/MvmjEhI648+un3kWTU0ctPybJxyy8zOLrqKaLFNHMjqH4l0MyZMq6t1slsXxfwzCadQ04qvMysjUIBMAElyWWRh5jkwimb5IDaCiskA6EEAAADGRCwqxA2QUgsBkkRRIBhYCYDsLEIIdhYgAdjsiAVLcPcQACe4NxAANmGe73ouMWmlUq8zaFADEQJmfMufkaGVZFz8jfH0viklFg4iOjCbINUOxbionFhF8srTG34lHp+wckXp9keJQlJyXnbuzdlR5bs/WvBkUusXxNeaPVYssMkd0ZJxfKOPPj9en+XLZiWHUU6l8n5lrkmY86XROx7G1w6ftObqed0Uqa5L9TpMuPEsuSWJKSUow7z7ySbq0vExLFklCeVQbhBrfK1Ub6Fa/yTEnMg9RxXRLxHqtJlxwxZJbduaLljp26Vdf1Mjx34kqXnvgyZXN0iShSJ4MTbUIq5SajFebfREs+KUJOE1tlF1JeTIkRxx49r/ZHn9fmU8s2ul0vbR1e0tX3UWk/vJqlX+1eZwTfCfrj/Xl+GAhpG3AWSQhgMdiAKnuIjEzF9anhAIZFO+BMYFTUaChgERaFRIKAhQbSVBQENoUToKCIbSSQ6GAgGIKYhsiACGIIYCGAAABSAAAYCGBPH+Je83nOTOhF8EUwAQAyrJ1+RaynJ1+Rvh6l8CE4gOzqyraAsIOJBCiSQqHZUKzRpNdkwu4tNeMZK0zOxAlx7j7M67Bq87i4VKGOWXunyptNLr49TprVwy6bNmePEngacZRhtTd/gf0+Z830+oyYckcmKcseSDuM4umjX2n29rNXFQz55SgneyMYwTfm6XJzvF072+vb9u5VNadOGJXihl3KNSXD9VPy56Fuj1GzRZ6x4pd3KKqULU7l/u86s+d6rtTU5tneZpS7uCxY6ShtivDhK/mXaHt/Wabd3OeUd6SlujGa46PlPknU7TMe9nqe6w9n/d4puUHG8sdzUbjde+/2HLSRx6rV5EsGPHjUHuyYnkUG0nxFfM+e5O2NVJYYyzSawKsK2xWzp5Lnoutl+P7Ta+OWeVahueRKOS8cHGaSperVDqdnvMrhHLoM8Y4ZSzSeOc4Y9sZLdGpJPo0ea+1/bDjqsmOMIqcHt3qO1edvzfJwtX25rM/dPLnlJ4Z95iajGGyV3fCXkupDtPtXUaycZ6iayShHZFqEYUuvgh1O3/GSUnJtybbfLb6sQDorBDCh0AiSQUNFAkSFYgGJjQjHL1ueAAGjIAAVlQwFYWAAAAFAAwEFDABUA6AoiKiYqIgZEmyLQVERJoVAIB0FAIYUFAIAoKAACgAZvwu4r3GA2aZ+qBcxAxEUMqydS0pn1N8PU5eEFiA6sHYWIAGRaGICLFZITRBFislQmgIsRKgoCNContDaQQGSoKGKiOhhZAUAWKwJWIQAMYIAAAEjHL1uGMQMhRZGwYIgYAADEMAFYWJkSossLK7CwLNwtxCwAssLIDAtoVDsLAVCodjQEdoUTIsCNBQ7CwI0FDGBGgokFARov0z6r5lVEsbpoDWJggZFIqn1LirJ1+Rvh6nLxEExAdWAJjACNiJCoBBY6CgEDHRGRAgEADsLIiJqpNisSQ6AQEgIIhQxgAAADAAAGCBg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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>
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<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>
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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>
<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 href="https://www.bs-marine.net/a16z-generative-ai-3/">a16z generative ai</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
]]></content:encoded>
					
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		<item>
		<title>a16z generative ai</title>
		<link>https://www.bs-marine.net/a16z-generative-ai-2/</link>
					<comments>https://www.bs-marine.net/a16z-generative-ai-2/#respond</comments>
		
		<dc:creator><![CDATA[bs-marine_editor]]></dc:creator>
		<pubDate>Thu, 02 Jul 2026 16:26:06 +0000</pubDate>
				<category><![CDATA[! Без рубрики]]></category>
		<guid isPermaLink="false">https://www.bs-marine.net/?p=945</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...</p>
<p>The post <a href="https://www.bs-marine.net/a16z-generative-ai-2/">a16z generative ai</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents </p>
<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>
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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>
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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 decoding="async" 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>
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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>
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<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>
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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>
<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 href="https://www.bs-marine.net/a16z-generative-ai-2/">a16z generative ai</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
]]></content:encoded>
					
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		<item>
		<title>a16z generative ai</title>
		<link>https://www.bs-marine.net/a16z-generative-ai/</link>
					<comments>https://www.bs-marine.net/a16z-generative-ai/#respond</comments>
		
		<dc:creator><![CDATA[bs-marine_editor]]></dc:creator>
		<pubDate>Thu, 02 Jul 2026 15:44:04 +0000</pubDate>
				<category><![CDATA[! Без рубрики]]></category>
		<guid isPermaLink="false">https://www.bs-marine.net/?p=943</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...</p>
<p>The post <a href="https://www.bs-marine.net/a16z-generative-ai/">a16z generative ai</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents</p>
<p><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>
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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>
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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>
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<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>
</div>
<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 decoding="async" 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>
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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>
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<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>
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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>
<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 href="https://www.bs-marine.net/a16z-generative-ai/">a16z generative ai</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
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		<item>
		<title>Welcome to medical Insurance coverage Marketplaces®</title>
		<link>https://www.bs-marine.net/welcome-to-medical-insurance-coverage-marketplaces/</link>
		
		<dc:creator><![CDATA[bs-marine_editor]]></dc:creator>
		<pubDate>Thu, 02 Jul 2026 15:21:52 +0000</pubDate>
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					<description><![CDATA[<p>Blogs See personalized bundle info Rather than to buy independent insurance coverage, it might create more feel to include a driver for the 03july existing policy to cover high priced things while you travel. To have site visitors over 70 yrs . old, to find...</p>
<p>The post <a href="https://www.bs-marine.net/welcome-to-medical-insurance-coverage-marketplaces/">Welcome to medical Insurance coverage Marketplaces®</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
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										<content:encoded><![CDATA[<div id="toc" style="background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;">
<p class="toctitle" style="font-weight: 700;text-align: center;">Blogs</p>
<ul class="toc_list">
<li><a href="#toc-0">See personalized bundle info</a></li>
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</div>
<p>Rather than to buy independent insurance coverage, it might create more feel to include a driver for the <a href="https://03july.com">03july</a> existing policy to cover high priced things while you travel. To have site visitors over 70 yrs . old, to find travel medical insurance might be costly. Even then, should your journey user also offers an alternative schedule, their coverage can be emptiness. Of many biggest insurance companies are available by the cell phone a day a day — helpful when you have difficulties inside the faraway time areas. When you&#8217;re travel agents can give you guidance and you will information, they&#8217;re not insurance representatives — constantly head any specific concerns for the insurance carrier.</p>
<ul>
<li>Come across virtual or regional company just who do the job and you may undertake their plan</li>
<li>Otherwise, you&#8217;ve got the choice to get health insurance via your employer.</li>
<li>He&#8217;s arrangements for individuals, household, females, elderly people, and children.</li>
<li>Thus, Arizona citizens, players, employers and you may agents have to contact Aetna personally or their companies to possess details about Aetna services.</li>
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<h2 id="toc-0">Come across custom bundle details</h2>
<ul>
<li>Know very well what insurance rates compensation setting and how HRAs can be support team.</li>
<li>Discuss a range of personal and you may members of the family plan choices, in addition to ACA Opportunities plans.</li>
<li>Aetna Inc. and its particular affiliated companies are perhaps not in control otherwise accountable for the fresh posts, precision or privacy strategies away from linked web sites, and products or services discussed throughout these sites.</li>
<li>Please make reference to the genuine policy for a complete directory of shielded losings or a whole listing of losings perhaps not insured and you can plan different.</li>
<li>But preparations in the medical insurance marketplace always be more expensive than simply preparations supplied by businesses.</li>
</ul>
<p>A gold bundle can be helpful if you believe you can you desire loads of worry throughout every season, but do not need to shell out rare metal superior. ACA platinum agreements have the higher monthly installments, nevertheless the lowest away-of-pocket will set you back. Tan preparations are good for people that usually do not anticipate to you need of many functions outside of preventative worry all year long. Silver arrangements are a great choice for people who find themselves inside fundamentally health but never want higher away-of-pocket will cost you if the anything fails. Gold arrangements render a great equilibrium away from monthly payments with no-of-wallet costs. A silver package is a good idea if you were to think you can you want loads of care all year round, but do not need to shell out precious metal premiums.Compare and get Health insurance Estimates inside the minutesCompare estimates</p>
<p>The post <a href="https://www.bs-marine.net/welcome-to-medical-insurance-coverage-marketplaces/">Welcome to medical Insurance coverage Marketplaces®</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
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		<title>Форекс термины: полный гайд для новичков!</title>
		<link>https://www.bs-marine.net/foreks-terminy-polnyj-gajd-dlja-novichkov/</link>
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		<pubDate>Thu, 25 Jun 2026 14:03:43 +0000</pubDate>
				<category><![CDATA[Forex News]]></category>
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					<description><![CDATA[<p>Форекс: Словарь терминов для начинающих Market maker – маркет-мейкеры; лица или фирмы, уполномоченные вступать в сделки по котируемым ими валютам. Margin – маржа; на валютном рынке страховой депозит вносимый на счет при заключении фьючерсного контракта. Interbank rates – межбанковские курсы; валютные курсы, которые крупные международные...</p>
<p>The post <a href="https://www.bs-marine.net/foreks-terminy-polnyj-gajd-dlja-novichkov/">Форекс термины: полный гайд для новичков!</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1>Форекс: Словарь терминов для начинающих</h1>
<p><img decoding="async" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' width="603px" alt="термины форекс" src="C:\Users\seofr\AppData\Roaming\scm-next-plus\content_cache\68d63030f9004d98dd65973e\cache\термины форекс\images\термины_форекс_(5).jpg"/></p>
<p>Market maker – маркет-мейкеры; лица или фирмы, уполномоченные вступать в сделки по котируемым ими валютам. Margin – маржа; на валютном рынке страховой депозит вносимый на счет при заключении фьючерсного контракта. Interbank rates – межбанковские курсы; валютные курсы, которые крупные международные банки котируют другим международным банкам. Indicative quote – прогнозируемая <a href="https://forexby.com/">https://forexby.com/</a> котировка; предлагаемая маркетмейкером цена, которая не является устойчивой. Был создан в 1946 году для обеспечения ликвидности краткосрочных сделок и либерализации обменных курсов. МВФ оказывает поддержку странам, сталкивающимся с проблемами платежного баланса, предоставляя им кредиты.</p>
<h2>Bull market (бычий рынок),&nbsp;особенНости торговли</h2>
<p>Экзотический опцион (Exotic Option) — разновидность опциона, с отличием от Американских или Европейских в своих условиях, сроками и способами расчета вознаграждения. Такие опционы применяются не для хеджирования рисков, а для спекуляции. К таким опционам относят барьерные опционы и множество других. Многие из них не имеют цен на исполнение и номинала, а имеют только условия, при которых покупатель имеет право на вознаграждение.</p>
<h3>Линия тренда (трендовая линия)</h3>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width="605px" alt="термины форекс" src="C:\Users\seofr\AppData\Roaming\scm-next-plus\content_cache\68d63030f9004d98dd65973e\cache\термины форекс\images\термины_форекс_(17).jpeg"/></p>
<p>Данный прием применяется, чтобы заставить других акционеров согласиться на более низкую цену за свои акции. Иногда замысловатое название оказывается довольно простым понятием, но в любом случае следует знать большинство используемых терминов. Практически любому человеку знаком такой экономический термин как «Инфляция», данный процесс носит негативный характер и ведет к обесцениванию денег.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width="604px" alt="термины форекс" src="C:\Users\seofr\AppData\Roaming\scm-next-plus\content_cache\68d63030f9004d98dd65973e\cache\термины форекс\images\термины_форекс_(8).jpeg"/></p>
<h3>Основные определения и термины Форекс</h3>
<ul>
<li>Линия тренда, поддерживающая восходящий тренд снизу путем соединения минимумов, служит основной линией поддержки.</li>
<li>Covered margin – маржа процентной ставки, маржа по двум инструментам, деноминированным в разных валютах, после учета стоимости форвордного обеспечения.</li>
<li>Short sale – короткая продажа; продажа определенного объема валюты, не принадлежащей продавцу, во время торгов.</li>
<li>Дискреционная торговля — трейдинг, при котором совершение операций происходит на основе субъективной оценки рынка.</li>
<li>Чем выше этот показатель, тем больше на рынке медведей и быков.</li>
</ul>
<p>Перекупленность Форекс (Overbought) – состояние на рынке Форекс, когда спрос на валюту предельно максимальный. Покупатели активов уже провели сделки по курсу, который их устраивал. Объем торговой операции (Transaction size) – показатель, который рассчитывается путем умножения размеров лота на общее количество открытых сделок (по данному лоту). Обесценивание валюты (Depreciation) – уменьшение рыночной стоимости валюты в результате действия сил спроса и предложения. Онлайн трейдинг – торговля валютными парами, акциями, облигациями и другими инструментами с использованием специальных программ и удаленного доступа на сервер брокера через Интернет.</p>
<h2>FAQ по торговле на Форексе для новичков</h2>
<p>Например, котировка USD/CHF 1,7263 означает, что 1 доллар стоит 1,7263 швейцарского франка. Арбитраж (валютный арбитраж, Arbitrage) – одновременное проведение противоположных операций на валютной бирже с целью получения дохода на разности курсовой стоимости валют. Трейдер одновременно открывает позиции на продажу и на покупку определенного актива и, в результате кратковременного расхождения курсов, получает прибыль. Своп (от англ. Swap) — величина, влияющая на открытые позиции трейдеров, которые переносятся через ночь. Если трейдер оставляет сделку открытой на следующий день, то при ее переносе начисляются свопы — плата за удержание позиции.</p>
<h3>Базовые термины, используемые в торговле на Форекс</h3>
<p>Front office – деятельность дилера по покупке и продаже ценных бумаг. Federal Reserve system – Федеральная резервная система; центральная банковская система <a href="https://forexby.com/glossary/">термины форекс</a> США, включающая 12 региональных резервных банков в специальных округах. Контролируется Советом управляющих федеральной резервной системой.</p>
<p>The post <a href="https://www.bs-marine.net/foreks-terminy-polnyj-gajd-dlja-novichkov/">Форекс термины: полный гайд для новичков!</a> appeared first on <a href="https://www.bs-marine.net">BS Marine</a>.</p>
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