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WWW.NATURE.COMFBP1 controls liver cancer evolution from senescent MASH hepatocytesNature, Published online: 01 January 2025; doi:10.1038/s41586-024-08317-9The p53 target FBP1 is elevated in senescent-like metabolic-dysfunction-associated steatohepatitis hepatocytes but suppressed through promoter hypermethylation and proteasomal degradation in most human hepatocellular carcinomas.0 Comments 0 Shares 49 Views
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WWW.NATURE.COMBone marrow niches orchestrate stem-cell hierarchy and immune toleranceNature, Published online: 01 January 2025; doi:10.1038/s41586-024-08352-6Previously undescribed hierarchical arrangements in haematopoietic stem cells and their niches that mediate both regenerative potential and immune privilege are identified.0 Comments 0 Shares 56 Views
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GAMERANT.COMSakamoto Days: How Powerful Is The Order?The world of assassins is often complex in any media, and anime is no different. Whether they are yakuza members, fantasy rouges, or any other kind of deadly hitmen, anime has always explored complex setups for these assassins, both in groups and solo ventures. Two main organizations rule over the assassins when it comes to the Sakamoto Days universe; the JAA, and X's organization. These two powerful forces in the assassin world are often at odds with each other, causing problems for our main cast of characters to get tangled up in.0 Comments 0 Shares 51 Views
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GAMERANT.COMGTA Online Player Experiences Hilarious Glitch With Police HelicopteraA GTA Online player experienced a glitch wiith a police helicopter that ended with hilarious results. The moment may have been due to lag in GTA Online, but it's nonetheless funny to see play out.0 Comments 0 Shares 61 Views
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GAMERANT.COMThe Best End Game Accessories In Metaphor: ReFantazioWeapons and armor in Metaphor: ReFantazio can give characters bonuses to their stats or grant them special effects, like the ability to nullify elemental magic like ice. While these effects are nice bonuses, they can be rare compared to accessories, which is exactly the point of the items.0 Comments 0 Shares 54 Views
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GAMEDEV.NETLooking to have my music in some games!I am an EDM / Trap EDM artist who has always wanted my music in some video games. I would love to allow my songs in a few games for free. I have over 50K streams on Spotify and about 5K on SoundCloud. Here's my SoundCloud if you want to listen. https://soundcloud.com/nomoredeathmusicI would also be open to composing some tracks specifically for a game, but I would most likely w0 Comments 0 Shares 52 Views
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GAMEDEV.NETThe fangame is aboutThe fangame is about a detective who, for personal and work reasons, has to investigate "Sparky's pizza food and fun" a pizza place abandoned since the 90's that has now returned. In the game there are 5 animatronics; Sparky, Tom, Max, Cindy and Daisy each with their different functions and stories they will try to kill you to defend yourself you will have objects such as stones or any object that will slow down or distract you depending on the animatronic a0 Comments 0 Shares 59 Views
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WWW.YANKODESIGN.COMThe Arrowsmith Home Proves How Micro-Living Can Be Compact & Yet Comfortable & CozyCalled the Arrowsmith Tiny Home, this lovely dwelling is the perfect mix of minimal design and high-end finishes. It features a spacious two-bedroom layout, with all the essentials and comforts you would need. The home on wheels is cleverly designed and highly functional. You can live in a compact home with all the comforts of a traditional home. It is designed by Left Coast Tiny Homes a small tiny home builder in British Colombia. You can order the home in different sizes. The options range from 32 to 40 feet in length with a width of 8.5 or 10 feet. It is built on a triple-axle trailer and is blessed with generous dimensions.Designer: Left Coast Tiny HomesThe Arrowsmith Tiny Home features a fully-equipped kitchen, a cozy living space with a propane fireplace, a downstairs bedroom, and a sleeping loft. It also includes a bathroom that doubles up as a laundry room. The layout is quite traditional, with the living room functioning as the central space of the house. The kitchen is placed at one end, and the ground-floor bedroom on the other. The kitchen as mentioned is well-equipped with full-size appliances and generous countertop space. It also includes a large apron sink, a large refrigerator, a full range, a microwave/hood, and a dishwasher. Custom-built floor-based and overhead cabinets have been added to the space as well.As you further enter the home, you are welcomed by a cozy living space. It includes a comfortable sofa, a fireplace, and a wall-mounted TV. There are little ledges next to the sofa, to make space for different decorative items. A set of ledges serves as stairs to the sleeping loft, making for a space-saving solution, and cutting down the need for a ladder or bulky staircase. The home features two bedrooms, and the ground-floor bedroom includes a queen-size bed. It is comfortable with the privacy of a traditional bedroom. The second bedroom is more like a loft space, and it includes a full-sized bed. It also features soft neutral colors and an accent wall made using light wood slats.The bathroom boasts a black-and-white design that is quite elegant with high-quality fixtures. It also features a large walk-in shower with tiled walls, a toilet, vanity, and a stacking washer/dryer for the ultimate convenience. The tiny home merges luxury with comfort and accessibility, creating a space that feels simple yet comfortable. It offers an innovative and unique take on micro-living.The post The Arrowsmith Home Proves How Micro-Living Can Be Compact & Yet Comfortable & Cozy first appeared on Yanko Design.0 Comments 0 Shares 47 Views
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WWW.MARKTECHPOST.COMMeta AI Proposes LIGER: A Novel AI Method that Synergistically Combines the Strengths of Dense and Generative Retrieval to Significantly Enhance the Performance of Generative RetrievalRecommendation systems are essential for connecting users with relevant content, products, or services. Dense retrieval methods have been a mainstay in this field, utilizing sequence modeling to compute item and user representations. However, these methods demand substantial computational resources and storage, as they require embeddings for every item. As datasets grow, these requirements become increasingly burdensome, limiting their scalability. Generative retrieval, an emerging alternative, reduces storage needs by predicting item indices through generative models. Despite its potential, it struggles with performance issues, especially in handling cold-start itemsnew items with limited user interactions. The absence of a unified framework combining the strengths of these approaches highlights a gap in addressing trade-offs between computation, storage, and recommendation quality.Researchers from the University of Wisconsin, Madison, ELLIS Unit, LIT AI Lab, Institute for Machine Learning, JKU Linz, Austria, and Meta AI have introduced LIGER (LeveragIng dense retrieval for GEnerative Retrieval), a hybrid retrieval model that blends the computational efficiency of generative retrieval with the precision of dense retrieval. LIGER refines a candidate set generated by generative retrieval through dense retrieval techniques, achieving a balance between efficiency and accuracy. The model leverages item representations derived from semantic IDs and text-based attributes, combining the strengths of both paradigms. By doing so, LIGER reduces storage and computational overhead while addressing performance gaps, particularly in scenarios involving cold-start items.Technical Details and BenefitsLIGER employs a bidirectional Transformer encoder alongside a generative decoder. The dense retrieval component integrates item text representations, semantic IDs, and positional embeddings, optimized using a cosine similarity loss. The generative component uses beam search to predict semantic IDs of subsequent items based on user interaction history. This combination allows LIGER to retain generative retrievals efficiency while addressing its limitations with cold-start items. The models hybrid inference process, which first retrieves a candidate set via generative retrieval and then refines it through dense retrieval, effectively reduces computational demands while maintaining recommendation quality. Additionally, by incorporating textual representations, LIGER generalizes well to unseen items, addressing a key limitation of prior generative models.Results and InsightsEvaluations of LIGER across benchmark datasets, including Amazon Beauty, Sports, Toys, and Steam, show consistent improvements over state-of-the-art models like TIGER and UniSRec. For example, LIGER achieved a Recall@10 score of 0.1008 for cold-start items on the Amazon Beauty dataset, compared to TIGERs 0.0. On the Steam dataset, LIGERs Recall@10 for cold-start items reached 0.0147, again outperforming TIGERs 0.0. These findings demonstrate LIGERs ability to merge generative and dense retrieval techniques effectively. Moreover, as the number of candidates retrieved by generative methods increases, LIGER narrows the performance gap with dense retrieval. This adaptability and efficiency make it suitable for diverse recommendation scenarios.ConclusionLIGER offers a thoughtful integration of dense and generative retrieval, addressing challenges in efficiency, scalability, and handling cold-start items. Its hybrid architecture balances computational efficiency with high-quality recommendations, making it a viable solution for modern recommendation systems. By bridging gaps in existing approaches, LIGER lays the groundwork for further exploration into hybrid retrieval models, fostering innovation in recommendation systems. Check out the Paper. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. Dont Forget to join our60k+ ML SubReddit. Asif RazzaqAsif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences. [Download] Evaluation of Large Language Model Vulnerabilities Report (Promoted)0 Comments 0 Shares 40 Views