Results 171 to 180 of about 49,458 (263)

Microglial Deubiquitinase OTUD7B Stabilizes STAT3 to Promote Neuroinflammation and Cognitive Decline in Alzheimer's Disease

Advanced Science, EarlyView.
. ABSTRACT Neuroinflammation driven by microglial activation is a defining feature of Alzheimer's disease (AD), yet the molecular mechanisms sustaining this proinflammatory state remain unclear. Here, we identify the deubiquitinase OTUD7B as a critical regulator of microglial activation and AD pathology.
Luyao Li, Hao Tang, Qin Yu, Yuyang Zhang, Binglu Shi, Ying Kong, Leiyu Xu, Jingjing Shao, Chenghong Hu, Lingyu She, Zhe Wang, Haiyi Chen, Aleksandr V. Samorodov, Gang Cao, Xia Zhao, Yi Wang   +15 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Effects of exergaming on balance and functional performance in older adults with chronic conditions living in the community: a systematic review and meta-analysis. [PDF]

Front Public Health
Ge B, Luo J, Cheng X, Wang D, Liu R, Liao X.   +5 more
europepmc   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Automatic therapy planning based on concept drift. [PDF]

Front Rehabil Sci
Ramírez-Cruz M, Sucar LE, Morales EF, Rivas JJ.   +3 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Tetrix: A novel Tetris-based paradigm for neuroimaging research and clinical applications. [PDF]

Behav Res Methods
Grote J, Stocker JE, Sommer J, Hamm AM, Kessler H, Jansen A.   +5 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Prêt-à-Jouer: commercial videogames as ready-made human perception labs. [PDF]

Front Cognit
Munneke J, Anthony B, Corbett JE.
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source