Results 141 to 150 of about 5,517,063 (278)

Single‐Cell and Spatial Transcriptomics Unveil Key Regulators Governing Cell Differentiation for Schistosoma japonicum Sexual Development

Advanced Science, EarlyView.
Using single‐cell and spatial transcriptomics, we identified key regulators that govern cell differentiation involved in parasite development and egg laying in Schistosoma japonicum. This comprehensive study establishes a foundational resource for understanding schistosome biology, deciphers the regulatory programs underlying cell differentiation and ...
Zhigang Lu, Xiaoxu Wang, Shun Li, Xuxin Li, Pengfei Du, Yameng Zheng, Lu Liu, Yanyan Zhang, Omri Wurtzel, Guofeng Cheng   +9 more
wiley   +1 more source

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

Advanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang, Yang Liu, Mingyu Song, Ning Chen, Canqing Yu, Jun Lv, Eric Yuk Fai Wan, Lu Qi, Liming Li, Dianjianyi Sun, Bang Zheng   +10 more
wiley   +1 more source

Nudging by design: calibrating climate and health interventions. [PDF]

J Clim Chang Health
Henriksen MP.
europepmc   +1 more source

Introducing Borsantrazole: A Trifunctional Boron‐Based Pyrazole That Extends the Lifespan of Amyotrophic Lateral Sclerosis Mice

Advanced Science, EarlyView.
Herein we report a boron‐based pyrazole, (Borsantrazole ‐ a small molecule that selectively targets oxidative stress) that significantly increases survival, reduces weight loss, delays disease onset, and affects global protein changes in the SOD1‐G37R mouse model of ALS.
Nitesh Sanghai, Rhonda Kelley, Ying Lao, M. Immanuel Reyes Madlangsakay, Prasanta Paul, M. Alejandra Llanes‐Cuesta, Jun‐Feng Wang, René P. Zahedi, Jiming Kong, Geoffrey K. Tranmer   +9 more
wiley   +1 more source

On Decision-Theoretic Foundations for Defaults

, 1995
In recent years, considerable effort has gone into understanding default reasoning. Most of this effort concentrated on the question of entailment, i.e., what conclusions are warranted by a knowledge-base of defaults.
Nir Friedman, Ronen I Brafman, Ronen Brafman   +2 more
core  

Social Media as a Driver of Obesity in Children and Adolescents (Aged 6-18 Years): It Is Time for Regulatory Action. [PDF]

J Med Internet Res
Liu Y, Li W, Wen LM, He G.
europepmc   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Results on translating defaults to circumscription

, 1987
In this paper we define different concepts, of translating a set of defaults into circumscription The most important of these-modular translation requires that the additive changes of specific facts (not defaults) of default theory translate to the ...
Tomasz Imielinski
core  

CSTAP: An Event-Conditioned Protocol for Toxicological Activation Potential in Coastal Sediments. [PDF]

Toxics
Somma R, Spoto SE.
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source