Maestro is an all-in-one interactive video platform and live streaming solution designed to convert passive audiences into active customers

Maestro.io

VANCOUVER, BC, Canada, November 6th, 2023/Chainwire/--MaestroBots, a prominent cryptocurrency trading bot on the Telegram messenger app, has swiftly taken action to refund users who were affected by a recent smart contract exploit. In an incident that unfolded on October 24, a total of 280 ETH was targeted. In response, the Maestro team took immediate action to refund the users impacted by the Maestro Router 2 contract exploit. This commitment to user security and trust was announced on social media platform X (formerly Twitter) on October 25. MaestroBots allocated a substantial sum of 610 ETH from its own revenue to cover all user losses. At the time of writing, this sum exceeded $1 million. The statement from MaestroBots read: "Every wallet that lost tokens in the router exploit has now received the full amount they lost. Some of you ended up with even bigger bags." For nine out of the 11 exploited tokens, MaestroBots opted to buy and refund tokens, instead of sending ETH, deeming it the most equitable and comprehensive refund. MaestroBots spent 276 ETH to secure users' tokens, demonstrating their commitment to user safety. For the remaining two tokens, Joe (JOE) and Lockheed Martin Inu (LMI), the refund was issued in ETH due to liquidity constraints in buying back the lost tokens. To express appreciation for the affected users' trust and support, MaestroBots increased the refund amount by 20%, resulting in a total cost of 334 ETH. CertiK, a blockchain security firm, verified the transactions, confirming the 334 ETH compensation disbursed to users by MaestroBots. Abbas Abou Daya, CEO of MaestroBots, said: "We absolutely refuse to expose our users to such bad actors, and we needed to do right by the few who were affected. The only right option was refunding every single user to the absolute best of our ability. Every wallet that lost tokens in the router exploit has now received the full amount they lost. Some of you ended up with even bigger bags." Abou Daya further explained the choice to buy and refund tokens for most of the affected tokens, stating: "For 9 out of the 11 exploited tokens, we chose to buy and refund tokens instead of simply sending ETH because it's the most equitable and complete refund we can offer for the incident. This gives full control back to the user (plus you can dump on our buys). We spent 276 ETH to secure our users' tokens. For the other two tokens (JOE and LMI), there simply wasn't enough liquidity to allow us to buy back the lost tokens, so we compensated affected users with the ETH equivalent of their tokens, and boosted that amount by 20% because you deserve it. These refunds cost 334 ETH." Abou Daya went on to highlight the quick response to the incident, stating: "Overall, the full refund campaign concluded a mere 10 hours after the exploit. These refunds cost us a total of 610 ETH (~$1.1M), but it's a small price to pay to ensure your safety and peace of mind." The MaestroBot team is committed to user safety: "Team Maestro apologizes for the error. We hold ourselves to a higher standard. That being said, the exploit was fully shut down within 30 minutes, trading capabilities were restored within 2 hours, and full refunds were issued within 10 hours. Anyone who was affected was made whole. Maestro: Router 2 is now completely safe. We hope that the swiftness of our response, paired with the completeness of the offered refund, can serve as a powerful reminder of our continued commitment to do right by our users." CertiK, a blockchain security firm, confirmed the safety and integrity of Maestro: Router 2 following the swift response and resolution of the incident. About MaestroBots MaestroBots is the leading Telegram bot for cryptocurrency trading, offering a wide range of services across Ethereum, BNB Chain, and Arbitrum networks. The platform prioritizes user security and has shown its commitment to safeguarding user assets by promptly addressing and resolving the recent smart contract exploit. For more information about MaestroBots, please visit https://www.maestrobots.com/ Contact Abbas Abou Daya MaestroBots maestro@gearlay.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program . here

MaestroBots Makes Users Whole: Refunds 610 ETH Following Router Exploit

MaestroBots ব্যবহারকারীদের সম্পূর্ণ করে তোলে: রাউটার এক্সপ্লয়েট অনুসরণ করে 610 ETH ফেরত দেয়

MaestroBots macht Benutzer gesund: Erstattet 610 ETH nach Router-Exploit

MaestroBots recupera la integridad de los usuarios: reembolsa 610 ETH tras el exploit del enrutador

MaestroBots rend les utilisateurs entiers : rembourse 610 ETH suite à un exploit de routeur

मेस्ट्रोबॉट्स उपयोगकर्ताओं को संपूर्ण बनाता है: राउटर एक्सप्लॉइट के बाद 610 ईटीएच वापस करता है

MaestroBots がユーザーを完全にする: ルーター悪用後に 610 ETH を返金

MaestroBots는 사용자를 온전하게 만듭니다: 라우터 공격에 따라 610 ETH를 환불합니다.

MaestroBots torna os usuários inteiros: reembolsa 610 ETH após exploração do roteador

MaestroBots спасает пользователей: возвращает 610 ETH после взлома маршрутизатора

MaestroBots Kullanıcıları Bütünleştiriyor: Yönlendirici Saldırısının Ardından 610 ETH'yi İade Ediyor

MaestroBots khiến toàn bộ người dùng: Hoàn lại 610 ETH sau khi khai thác bộ định tuyến

MaestroBots 让用户完整：路由器漏洞后退款 610 ETH

Antonio Salieri, an 18th-century Italian composer and contemporary of Wolfgang Amadeus Mozart, is a figure whose life and contributions to music have been overshadowed by the legendary tales of rivalry and intrigue. Beyond the myths, Salieri's story is a fascinating exploration of artistic passion, dedication to his craft, and the delicate interplay between mental health and creative genius. The Life of Antonio Salieri: Antonio Salieri was born on August 18, 1750, in Legnago, a town in the Republic of Venice. His early musical talent was recognized, and he received education and guidance from prominent composers of the time. Salieri's career took him to Vienna, where he became the court composer for Emperor Joseph II. He was a prolific composer, producing a vast body of work that included operas, symphonies, chamber music, and choral compositions. Mental Health and Artistic Expression: Salieri's life was marked by intense periods of creativity, but it was also influenced by the complex relationship between mental health and the demands of his profession. The pressures of composing for the royal court, coupled with the competitive atmosphere of Vienna's musical scene, undoubtedly took a toll on his mental well-being. Creative individuals, including musicians and composers, are often susceptible to mental health challenges. The demanding nature of the artistic process, coupled with external pressures, can lead to conditions such as anxiety and depression. Salieri, too, grappled with the emotional highs and lows that accompany a life devoted to artistic expression. Examples of Salieri's Mental Struggles: While historical records don't provide a detailed account of Salieri's mental health, there are instances that suggest the composer faced personal challenges. His passionate dedication to his art, combined with the pressures of court life, may have contributed to moments of emotional turmoil. Salieri's mental health might have been further impacted by the untimely deaths of his children and wife, events that undoubtedly cast shadows over his personal and creative life. One example that has fueled speculation about Salieri's mental state is the infamous tale of his rivalry with Mozart. Though largely debunked by historians, the notion that Salieri poisoned Mozart out of jealousy persists in popular culture. The enduring power of this myth underscores the fascination with the intersection of mental health and artistic achievement. Salieri's Legacy and Impact on Mental Health Discourse: Antonio Salieri's legacy extends beyond his musical compositions. His life serves as a poignant reminder of the challenges that creative individuals face in maintaining mental well-being. In recent years, discussions around mental health in the arts have gained prominence, and the experiences of historical figures like Salieri contribute to a broader understanding of the delicate balance between artistic brilliance and personal struggles. Understanding and destigmatizing mental health challenges among artists is crucial in nurturing a supportive environment for creative expression. Salieri's story prompts us to reflect on the societal pressures placed on individuals in the pursuit of artistic greatness and to approach the lives of historical figures with empathy and nuance. Antonio Salieri's life and musical contributions offer a multifaceted exploration of the intricate relationship between mental health and artistic expression. As we delve into the annals of history to unravel the mysteries surrounding Salieri, it is essential to recognize the broader implications for contemporary discussions on mental health within the creative realm. By acknowledging the challenges faced by individuals like Salieri, we can contribute to a more compassionate and understanding approach to the mental well-being of artists today. Also published . here

Antonio Salieri: A Musical Maestro and the Delicacies of Mental Health

Recently, there has been a surge in the popularity of DeFi and Telegram trading bots. These bots have become popular among traders looking to navigate the volatile cryptocurrency market and simplify their trading experience. By blending automation with comprehensive data and insights, trading bots assist traders in making well-informed decisions and optimizing their strategies. These bots have garnered attention from both retail investors and seasoned traders due to their accessibility and user-friendliness, all while offering advanced functionalities. They aid in identifying trading signals, verifying token security, automating token transactions, and even facilitating copy trading. Here are some of the best crypto trading bots you can use now! Mizar stands out as a promising newcomer in the realm of DeFi trading bots. It distinguishes itself by being the only platform that provides both CeFi and DeFi trading tools and comes with no monthly fees. Mizar's comprehensive toolkit includes trading bots compatible with centralized exchanges like Binance and Coinbase and decentralized exchanges like Uniswap. The platform has garnered support from prominent investors, including Nexo, KuCoin, Huobi, and MEXC, and enjoys a user base of over 20,000 cryptocurrency traders. Mizar Recently, Mizar its groundbreaking product, D-Mizar, tailored for investors seeking early access to and trading opportunities with emerging altcoins on Uniswap. D-Mizar empowers traders to explore new tokens, conduct research, and engage in automated sniping or trading activities. introduced Main Features helps traders spot potential trading opportunities in the Uniswap - Ethereum ecosystem through actively monitoring more than 600 Telegram Channels and Groups. When a new token contract is mentioned in any of these channels, Mizar identifies it as a prospective trading call and presents it on a dashboard. Mizar's users can access additional data for each token contract, including the call's source, up-to-the-minute price and market capitalization data, total liquidity, pool size, and crucial security information such as potential honeypot risks and associated buy and sell tax rates. Mizar Telegram Calls The is a publicly accessible tool at no cost and can be used as a valuable resource for investors to conduct research and assess the security of ERC-20 tokens. This tool grants traders access to a wealth of advanced information, including details such as contract taxes, restrictions on buy and sell quantities, token ownership, and creator profiles, and an array of other critical parameters. The Mizar Token Sniffer efficiently handles the verification process for traders, presenting a comprehensive dashboard that enhances their ability to make well-informed decisions. Mizar Token Sniffer At the heart of D-Mizar lies the , a tool that enables users to swiftly engage in token trading on the Uniswap v2.0 - Ethereum platform. The Sniper Bot operates in a fully automated way, eliminating the need for any technical expertise or coding skills on the part of the users. It empowers users to secure tokens immediately upon their launch and configure an automated take-profit mechanism to sell them automatically when their price reaches a defined threshold. Moreover, Mizar has devised a sophisticated safety system that automatically safeguards against rug pulls post-purchase and a set of security features that prevent traders from buying tokens that fail to meet essential safety criteria. Sniper Bot Mizar is actively working to release new tools, including automated DeFi bots incorporating features like copy trading to make it more accessible to less experienced traders as well. All these crypto trading solutions and more make Mizar one of the top platforms dedicated to improving users' results. What makes Mizar stand out: Free and public Research tools like the Token Sniffer and Telegram Calls. Sniper Bots and DEX trading bots. Usable from Telegram and webapp. Backed by Nexo, KuCoin, Huobi, and MEXC Over 20,000 crypto traders already use it No monthly fees Unibot is another top crypto trading platform that has been making waves since its launch in May 2023. The service provides fast and user-friendly trading tools and sniper bots via its Telegram bot. Like Mizar, Unibot allows users to snipe tokens just as easily as they would send messages on the popular messaging app. Unibot Unibot was developed by Diamond Protocol, a company focusing on building trading tools for Ethereum. Its goal is to increase automatic crypto trading via Telegram bots and offer traders an alternative to traditional trading methods. So far, their plan works as Unibot users traded over $250 million worth of tokens, and the platform redistributed almost $5.0 million to users. Unibot offers crypto traders multiple solutions, all accessible for free. Automated Limit Orders: Unibot provides the capability to execute orders automatically when the market reaches a specified level. This feature enables you to buy at a set price on Uniswap, where limit orders are not available. Sniper Tools: Unibot offers powerful sniper tools, including the mirror sniper function that allows you to replicate successful traders, potentially leading to impressive profits. Additionally, the method sniper assists in identifying new token launches and liquidity opportunities on DEXes. Profit and Loss (PNL) Analysis: When using Unibot to manage your account, you can effortlessly monitor your trading performance. Unibot offers comprehensive insights that help you validate the effectiveness of your trading strategy. Private Transactions: Unibot provides private trade options that are resistant to Miner Extractable Value (MEV) bot vulnerabilities, reducing the risk of falling victim to front-running or sandwich attacks. Fail-Safe Selling: Unibot empowers you to test orders in advance to determine if they might fail, thereby avoiding unnecessary gas fees and optimizing your profit potential. What makes Unibot stand out: Free token sniping bots usable directly from Telegram. It claims supporting trades 6x faster than on Uniswap. A trading volume of over $200 million 40% revenues share that brought $5.0M shared. Maestro Another platform taking advantage of the telegram bots resurgence is and its army of crypto trading bots usable from Telegram. This service provides a versatile suite of trading tools available in a multi-chain (BSC, ETH, ARB) environment. Upon its launch, the platform garnered over $4.5 million in trading fees only in May. That's an impressive figure for a four-member team that only employs 2 developers for maintenance and updates. Maestro Maestro provides several crypto trading tools popular among beginner and seasoned traders. These include a sniper bot, a smooth wallet tracker, and a proactive whale bot. These products, together with future releases, should create a far-reaching ecosystem capable of satisfying the needs of DeFi crypto enthusiasts via Telegram. The central offering of Maestro is its trading bot, which serves as its cornerstone feature. With this bot, users have the capability to seek out tokens and make rapid purchases immediately upon their release, securing a position as early buyers. Traders can implement automated selling strategies, triggering sales when specific price targets are reached. Furthermore, there are safeguards in place to shield traders from fraudulent schemes and provide protection against rug pulls. Additionally, Maestro facilitates signal detection by scanning Telegram channels and offers the ability to engage in copy trading from other wallets. Another Maestro interesting feature is the Whale Bot, which sends users instant notifications via Telegram on whale transactions. Whale watching is common among crypto traders since it shows important market movements. This service alerts users about the latest actions of whales and other market drivers, thus pinpointing potential lucrative deals. Maestro users can rely on the platform's Wallet Tracker to get Telegram notifications on real-time price changes for several cryptocurrencies. Notably, users with wallets on both BSC and ETH can keep an eye on their balances without leaving Telegram. Lastly, Maestro supplies highly ambitious crypto groups with an innovative Buy Bot. This feature allows investors and token groups to monitor buys, sells, and price changes for up to two tokens for free. What makes Maestro stand out: A fast Telegram sniper bot usable across several blockchains Easy liquidity, launch, and method sniping Anti-rug protection Monitor price changes for up to two tokens for free Direct presale entries on Pinksale These are some of the top crypto trading bots on the market you can use, whether for beginner, casual, or expert trading. The emergence of Telegram sniper and sniffer bots is a trail-blazing phenomenon already carving its own piece of the market. If you are ready for automatic cryptocurrency trading, you can start with any of these services. Their bots are your optimal allies in a fast-paced crypto market where making the right decision with every trade is humanly impossible. Remember to do your due diligence before making any investment decisions. This story was distributed as a release by Crypto Adventure under HackerNoon’s Brand As An Author Program. Learn more about the program . here

Reviewing DeFi Trading Bots — Mizar, Maestro, and Unibot

Revisión de los robots comerciales de DeFi: Mizar, Maestro y Unibot

Examen des robots de trading DeFi – Mizar, Maestro et Unibot

डेफी ट्रेडिंग बॉट्स - मिज़ार, मेस्ट्रो और यूनीबोट की समीक्षा करना

DeFi取引ボットのレビュー — Mizar、Maestro、Unibot

Revendo bots de negociação DeFi – Mizar, Maestro e Unibot

Đánh giá các Bot giao dịch DeFi - Mizar, Maestro và Unibot

回顾 DeFi 交易机器人——Mizar、Maestro 和 Unibot

Something I really like about living in the city is the fact that it is made for the masses. Despite its many defects (the rain being one), Seattle is architected to enable hundreds of thousands of people to go through their busy days. It has a transportation system that interconnects different areas, it mandates different land usage policies for parks, residences, commerces and schools, and it provides restricted parking zones. It is designed for walking (assuming you like hills), it provides easy access to hospitals and it is guarded by police and fire departments. not But Seattle wasn’t initially a big city, its growth is more of a work-in-progress kind of thing. Like many other cities including all-mighty New York, Seattle is constantly under development and re-planning so it can to support even more people. It needs more efficient transportation (think subway), bigger highways, more parking and more recreational areas and residential zones. scale The similarities between city planning and software engineering are fascinating to me, they are well described by Sam Newman in his “Building Microservices” . Just like cities started as small towns, most services started as simple servers sitting under someone’s desk, and processing a few hundred requests per day. Given some time and if the idea is right, a service may become popular —that’s a great thing to happen except that the challenge of increasing demand quickly turns into a problem of dealing with higher customer expectations. This is similar to how we expect better transportation and more efficient police enforcement when a town evolves into a city. book I personally like the story of Twitter’s Fail Whale. As Yao Yue , the whale is a story of . Twitter started with a monolithic service called , represented as a gigantic box of functionality with enormous scope. While this might be the best way of getting  started, soon became too complex to reason about. Availability and slow performance problems surfaced as Twitter’s engineering team grew to a bigger set of people that were constantly adding features. This required more resources and a more principled architecture with better failure handling. Twitter nicely covered up its system errors with the image of a failing whale. mentions growing up Monorail Monorail If any of that sounds familiar, perhaps one should consider following Twitter’s approach of embracing a microservices-based architecture. Evolving a monolithic architecture into a set of microservices is about splitting a big I-can-do-everything box into more manageable boxes that have scoped responsibility. It is also about splitting teams into smaller teams that can focus on a subset of those services ( ). The resulting services are autonomous —like the teams who manage them—, so they can be independently deployed. Conway’s law Getting a microservice architecture right is quite an engineering journey, it requires discipline and patience. The Microservices Maestro (i.e. ) must be able to orchestrate principles of separation of concerns, the system’s overall cohesion, failure degradation, security and privacy. you I found that establishing some initial key architecture principles and ensuring they are attained can help alleviate some of these challenges. From the engineering and operational readiness standpoints: . There are many strategies for testing in production. One of my favorites is canary testing, a common practice in which less-stable code is enabled to only a small percentage of production traffic and “baked” for a predetermined period of time, before its broad roll-out. The ultimate test environment . Ideally, the time it takes from check-in to production is hours, not months. Getting there usually requires building a fully automated deployment pipeline that is able to safely and reliably make progress. Continuous deployment . Any feature that does not include basic monitoring of its performance, its resource utilization or its unexpected failure cases cannot be taken seriously —releasing it is like flying blind, hoping it will just work. In a system that scales to millions of requests per minute, things that are supposed to fail only 0.01% of the time will fail once every minute and will require almost immediate remediation. Hope is not a strategy in software engineering, but monitoring services and learning from their data is. Watch and learn . I usually avoid waiting for the perfect system to be implemented. It is better to release something small and improve it over time. Incremental improvements From the internal architecture standpoint: It may sound non-trivial, but sharing code that is tightly coupled with business logic is an and should be avoided in favor of autonomy and system decentralization. The force of autonomy. antipattern . Expecting that a contract between two services will not change is not realistic. Versioning support, backwards compatibility and upgradeability are essential for the long-term stability of any feature. Embrace contract changes . Services that spend resources waiting for responses can be wasteful. In the world of async, communication abides to event-based models with pub/sub services that don’t wait. There is no free lunch though, the diagnosis of event-based systems has proven to be a challenging area. Go async Stateless services are easy to reason about. In many cases they can be rolled back with minimum risk if their most recent version proves to be unstable. Rolling back stateful services, on the other hand, may cause multiple side effects that are hard to understand and increase the chance of data corruption. Furthermore, persisted data typically requires consistency models, high availability and quick retrieval. Don’t store what can be re-learned. . I really like the idea of Netflix’s Chaos Monkey – a service that is constantly triggering controlled failures in Netflix’s services in order to ensure that all services have sound failure isolation guarantees. Michael Nygard’s book recommends circuit breakers as protection mechanisms against fault propagation that are worth exploring. In short, circuit breakers are about cutting further communication to a service that is unavailable in order to avoid filling up queues of requests. Communication can be restored automatically once the external services are back online. Be resilient Release It! In general, I think scale is hard and often underestimated; it is an area that I expect will have dramatic innovation over the next few years. Did you like this article? Subscribe to get new posts by email. Image credit: Steve Dennis

The Microservices Maestro

DePIN Explained: What Are Decentralized Physical Infrastructure Networks?

Job Scam Alert: The "Data Provider" Pyramid Scheme

চাকরির স্ক্যাম সতর্কতা: "ডেটা প্রদানকারী" পিরামিড স্কিম

Job-Betrugswarnung: Das Pyramidensystem des „Datenanbieters“

Alerta de estafa laboral: el esquema piramidal del "proveedor de datos"

Alerte à l'arnaque à l'emploi : le système pyramidal du "fournisseur de données"

नौकरी घोटाला चेतावनी: "डेटा प्रदाता" पिरामिड योजना

求人詐欺警告: 「データプロバイダー」ねずみ講

직업 사기 경고: "데이터 제공자" 피라미드 계획

Alerta de golpe de trabalho: o esquema de pirâmide do "provedor de dados"

Предупреждение о мошенничестве с вакансиями: финансовая пирамида «Поставщик данных»

İş Dolandırıcılığı Uyarısı: "Veri Sağlayıcı" Piramit Şeması

Cảnh báo lừa đảo việc làm: Lược đồ kim tự tháp "Nhà cung cấp dữ liệu"

求职诈骗警报：“数据提供商”金字塔骗局

This paper is available on arxiv under CC 4.0 license. Authors: (1) Jeffrey Ouyang-Zhang, UT Austin (2) Daniel J. Diaz, UT Austin (3) Adam R. Klivans, UT Austin (4) Philipp Krähenbühl, UT Austin Table of Links Abstract & Introduction Related Works Preliminary Methodology Results Limitations Conclusion, Acknowledgements, & References Experimental Setting & Additional Results 7 Conclusion We present a method that efficiently scales thermodynamic stability prediction from single mutations to higher-order mutations. Our key insight is that the effects of mutations on the same protein are correlated. Thus, for a target protein, it suffices to run a deep backbone once and decode the effect of all mutations simultaneously using a shallow decoder. With the AlphaFold model as our backbone, our method outperforms existing methods on a variety of single and multiple mutation benchmarks. Our method scales to millions of mutations with minimal computational overhead and runs in a fraction of the time it would take prior works. 8 Acknowledgements This work is supported by the NSF AI Institute for Foundations of Machine Learning (IFML). References [1] Randomization of genes by pcr mutagenesis. Genome research 2(1), 28–33 (1992) 2 [2] Adams, J.P., Brown, M.J., Diaz-Rodriguez, A., Lloyd, R.C., Roiban, G.D.: Biocatalysis: A Pharma Perspective. Advanced Synthesis and Catalysis 361(11), 2421–2432 (2019). https://doi.org/10.1002/adsc.201900424 1 [3] Ahdritz, G., Bouatta, N., Kadyan, S., Xia, Q., Gerecke, W., O’Donnell, T.J., Berenberg, D., Fisk, I., Zanichelli, N., Zhang, B., Nowaczynski, A., Wang, B., Stepniewska-Dziubinska, M.M., Zhang, S., Ojewole, A., Guney, M.E., Biderman, S., Watkins, A.M., Ra, S., Lorenzo, P.R., Nivon, L., Weitzner, B., Ban, Y.E.A., Sorger, P.K., Mostaque, E., Zhang, Z., Bonneau, R., AlQuraishi, M.: Openfold: Retraining alphafold2 yields new insights into its learning mechanisms and capacity for generalization. bioRxiv (2022). https://doi.org/10.1101/2022.11.20.517210 6 [4] Arnold, F.H.: Design by directed evolution. Accounts of chemical research 31(3), 125–131 (1998) 1, 2, 3 [5] Bell, E.L., Finnigan, W., France, S.P., Green, A.P., Hayes, M.A., Hepworth, L.J., Lovelock, S.L., Niikura, H., Osuna, S., Romero, E., Ryan, K.S., Turner, N.J., Flitsch, S.L.: Biocatalysis. Nature Reviews Methods Primers 1(1), 1–21 (2021). https://doi.org/10.1038/s43586-021-00044-z 1 [6] Benevenuta, S., Pancotti, C., Fariselli, P., Birolo, G., Sanavia, T.: An antisymmetric neural network to predict free energy changes in protein variants. Journal of Physics D: Applied Physics 54(24), 245403 [7] Benevenuta, S., Pancotti, C., Fariselli, P., Birolo, G., Sanavia, T.: An antisymmetric neural network to predict free energy changes in protein variants. Journal of Physics D: Applied Physics 54(24), 245403 (2021) 8 [8] Benevenuta, S., Birolo, G., Sanavia, T., Capriotti, E., Fariselli, P.: Challenges in predicting stabilizing variations: An exploration. Frontiers in Molecular Biosciences 9, 1075570 (2023) 5, 6, 17 [9] Brückner, A., Polge, C., Lentze, N., Auerbach, D., Schlattner, U.: Yeast two-hybrid, a powerful tool for systems biology. International journal of molecular sciences 10(6), 2763–2788 (2009) 1 [10] Cadet, F., Saavedra, E., Syren, P.O., Gontero, B.: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways. Frontiers in Molecular Biosciences 9, 1098289 (2022) 1 [11] Capriotti, E., Fariselli, P., Casadio, R.: I-mutant2. 0: predicting stability changes upon mutation from the protein sequence or structure. Nucleic acids research 33(suppl_2), W306–W310 (2005) 3, 8 [12] Chen, K., Arnold, F.H.: Tuning the activity of an enzyme for unusual environments: sequential random mutagenesis of subtilisin e for catalysis in dimethylformamide. Proceedings of the National Academy of Sciences 90(12), 5618–5622 (1993) 1, 3 [13] Chen, T., Gong, C., Diaz, D.J., Chen, X., Wells, J.T., Wang, Z., Ellington, A., Dimakis, A., Klivans, A., et al.: Hotprotein: A novel framework for protein thermostability prediction and editing. 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Predicting a Protein’s Stability
under a Million Mutations: Conclusion, Acknowledgement & References

StarkDeFi announces the closing 10 days of their innovative ReGenesis campaign—A Blend of Traditional Leaderboard and Gamification. StarkDeFi, a leading provider of DeFi solutions built on StarkNet, is entering the final stretch of its standout ReGenesis campaign. The campaign deviates from the current market trend, featuring a gamified twist to the traditional leaderboard approach. The project hints at entering a new phase, stating, “After this, ReGenesis goes into intermission - a mission of its own,” signifying exciting developments are on the horizon. As a project poised to launch one of StarkNet's initial tokens, users have been staying active, accumulating Regenesis Cores, which are exchangeable for $SDC, StarkDeFi’s native token. "StarkDeFi is driven by the ambition to reshape existing StarkNet protocols through its unique UI. We took it upon ourselves to design an exceptional user experience that extends beyond our application and revolutionizes our leaderboard campaign," said the COO of StarkDeFi. "By incorporating interactive gaming elements, we believe we've established a user-focused campaign that stands unparalleled among other StarkNet builders." StarkDeFi strives to be the ultimate destination for all things DeFi on Starknet. Although it's still in its infancy, having launched on mainnet in December 2023, the project is gaining significant momentum. Notably, Brian D Evans, a serial entrepreneur and marketing maestro, recently joined as an advisor. Moreover, the project enjoys visual contributions from an undisclosed artist who also played a significant role in designing projects for the Al Wasl Dome in Dubai and Vivid Festival in Sydney, Australia. “StarkDeFi is building an entire suite of DeFi solutions. Whilst we currently offer an AMM (automated market maker) and soon-to-launch Liquidity Locker, we have an array of products, such as StarkPad, the only native launchpad on Starknet, Limit Orders, and Synergy Pools (a zero loss, prize savings protocol). We are also set to launch a few more products, which can be integrated into our current offerings to increase user experience, however, we have to leave something to the imagination” commented their COO. The team comprises global talent with a collective experience of over 20 years. Led by four co-founders, each boasting unique expertise in web3, they are proud of their diverse team. Moreover, StarkDeFi collaborates with a plethora of esteemed partners such as Chainlink Build, Seedify, Trireme Trading, and Gate.io Labs, among others. To learn more about StarkDeFi, please visit here About StarkDeFi StarkDeFi is a permissionless and trustless hub of comprehensive Defi solutions built to leverage ZK-Rollup on StarkNet's L2 over Ethereum. This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

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Le compte à rebours ReGenesis de StarkDeFi est lancé pour la campagne des hubs de solutions DeFi

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StarkDeFi の DeFi ソリューション ハブ キャンペーンの ReGenesis カウントダウンが始まります

DeFi 솔루션 허브 캠페인을 위한 StarkDeFi의 ReGenesis 카운트다운이 시작되었습니다

A contagem regressiva ReGenesis da StarkDeFi começou para a campanha de hubs de soluções DeFi

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