Uncover Progression Dynamics
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A Machine Learning-Based Framework for Discovering Huntington's Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset
arXiv:2606.06196v1 Announce Type: new Abstract: Huntington's disease (HD) is a progressive brain disorder that gradually affects movement, cognitive function, and behavior. Identifying the stage of the disease accurately and consistently is important for understanding its course, grouping patients, personalized care, and discovering treatment. Existing clinical staging frameworks rely primarily on predefined clinical measurement thresholds and clinical expert decisions, yet these discrete...
Organ-specific fibroblast dynamics revealed via an integrated experimental-computational framework
Fibrosis is a progressive pathological process driven by dysregulated fibroblast activity and excessive extracellular matrix deposition, leading to scarring, functional decline and eventually organ failure. Although fibroblasts are key mediators of fibrotic remodelling, it remains unclear whether their behaviours are conserved across tissues or organ specific. Here, we combine experimental and computational approaches to dissect fibroblast dynamics underlying cardiac and pulmonary fibrosis.
A unified developmental framework of the human placenta in its uterine environment in vivo and in vitro
Despite advances in single-cell profiling of the human placenta, the genetic programs governing its physiological remodeling throughout gestation remain incompletely understood; this limits the interpretation of trophoblast organoid models. Here, we reconstruct the human placenta in its uterine environment across gestation by integrating public single-cell data into a unified developmental framework developed through a specialized computational strategy. We resolve 100 cell subtypes,...
EMCEE: Improving Multilingual Capability of LLMs via Bridging Knowledge and Reasoning with Extracted Synthetic Multilingual Context
arXiv:2503.05846v3 Announce Type: replace Abstract: Large Language Models (LLMs) have achieved impressive progress across a wide range of tasks, yet their heavy reliance on English-centric training data leads to significant performance degradation in non-English languages. While existing multilingual prompting methods emphasize reformulating queries into English or enhancing reasoning capabilities, they often fail to incorporate the language- and culture-specific grounding that is essential...
Should Demand Models Incorporate Competitor Prices? Oblivious Learning and Algorithmic Collusion
arXiv:2606.05363v2 Announce Type: replace Abstract: On a platform with many sellers, should a pricing algorithm explicitly model competitors' prices when learning demand? Classical learning arguments suggest an affirmative answer: ignoring competitors induces model misspecification and inefficiency. In contrast, recent work on algorithmic collusion suggests that strategic obliviousness -- deliberately ignoring competitor prices -- may facilitate collusive outcomes and improve profits.
Should Demand Models Incorporate Competitor Prices? Oblivious Learning and Algorithmic Collusion
arXiv:2606.05363v1 Announce Type: new Abstract: On a platform with many sellers, should a pricing algorithm explicitly model competitors' prices when learning demand? Classical learning arguments suggest an affirmative answer: ignoring competitors induces model misspecification and inefficiency. In contrast, recent work on algorithmic collusion suggests that strategic obliviousness -- deliberately ignoring competitor prices -- may facilitate collusive outcomes and improve profits.
Amplified Arctic iceberg traffic reshapes benthic biodiversity
Abstract The Arctic is undergoing rapid warming, resulting in retreating sea ice and glaciers1, yet how cryospheric changes propagate into the deep ocean remains poorly understood2. Here we identify a climate-driven mechanism linking accelerating glacier disintegration to an increase in deep-sea hard-bottom habitats far beyond calving fronts. Seafloor observations in Fram Strait show a localized increase in the density and patchiness of dropstones delivered by debris-laden icebergs.
Reformer or ringleader: A decade on, What is Infantino's legacy as FIFA president?
GIANNI INFANTINO CELEBRATED HIS ELECTION as FIFA president in February 2016 by buying beers for journalists in the bar of a hotel in Cardiff, Wales. After the previous regime of Sepp Blatter had been brought down by bribery and corruption, Infantino was soccer's new man of the people: approachable, engaging and ready to restore the game's reputation. Ten years on, the Swiss-Italian lawyer is the most powerful man in the game.
The Frame Problem
The Frame Problem To most AI researchers, the frame problem is the challenge of representing the effects of action in logic without having to represent explicitly a large number of intuitively obvious non-effects. But to many philosophers, the AI researchers' frame problem is suggestive of wider epistemological issues. Is it possible, in principle, to limit the scope of the reasoning required to derive the consequences of an action?
Gene ancestries reveal diverse microbial associations during eukaryogenesis
Abstract The origin of eukaryotes remains a central enigma in biology1. Continuing debates agree on the pivotal role of a symbiosis between an alphaproteobacterium and an Asgard archaeon2,3. However, the nature, timing and contributions of other potential bacterial partners4,5,6 and the role of interactions with viruses7,8,9 remain contentious.