Results 231 to 240 of about 5,734,629 (315)
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
The effect of the local economic context and local public services on financial satisfaction among youth in European cities. [PDF]
Medgyesi M, Csathó Á.
europepmc +1 more source
Protein restriction (PR) slows Alzheimer's disease (AD) in mice, and other benefits of PR are due to decreased branched‐chain amino acids (BCAAs). We show that restricting any BCAA has benefits, with sex‐ and BCAA‐specific impacts on pathology, molecular signaling, and cognition.
Reji Babygirija +22 more
wiley +1 more source
We established patient‐derived SWN cell lines and orthotopic PDX models that recapitulate patient pain phenotypes, alongside a novel intravital DRG imaging platform to track macrophage infiltration and neuronal pain responses. Using these models, we define HMGB1–CCL2–IL‐6 signaling crosstalk driving pain and identify EGF signaling as a key regulator of
Zhenzhen Yin +17 more
wiley +1 more source
In pancreatic ductal adenocarcinoma (PDAC), insulin is associated with activation of PI3K/AKT–RAB3A signaling and enhanced secretion of TNFAIP8‐enriched exosomes from tumor cells. Uptake of these exosomes by fibroblasts is linked to TRIM21‐dependent STAT1 degradation and the emergence of myofibroblastic CAF–associated features, accompanied by increased
Zhenyu Li +15 more
wiley +1 more source
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su +13 more
wiley +1 more source
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

