Results 151 to 160 of about 5,517,063 (278)
A scoping review of studies applying the Nuffield's 'intervention ladder' framework to assess the acceptability of diet and physical activity interventions. [PDF]
Ramamoorthy S, Muhajarine N, Gauvin L.
europepmc +1 more source
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo +18 more
wiley +1 more source
Noncompleted Matches in Professional Women's Tennis (1975-2024): Epidemiology, Trends, and Associated Factors of Walkovers and Defaults. [PDF]
Peña V, Baiget E, Pluim BM, Casals M.
europepmc +1 more source
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source
From intention-behavior gap to dietary affordances: an active inference account of sustainable eating. [PDF]
McIntosh A +3 more
europepmc +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
大阪高裁平成20年5月29日判決 : 控訴棄却(確定)(平19(ネ)第2425号,損害賠償請求控訴事件 ...
openaire +1 more source
AI agents are sensitive to nudges. [PDF]
Cherep M, Maes P, Singh N.
europepmc +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source

