Results 171 to 180 of about 1,858,146 (268)
Predictors of Self-Harm Types in Members of Online Communities: Age As a Moderating Variable. [PDF]
Razvaliaeva A, Polskaya N.
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Identity formation and mental health challenges among marginalized Chinese international students in online communities. [PDF]
Jin R, Wang X.
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Online communities come with real-world consequences for individuals and societies. [PDF]
Oksanen A +3 more
europepmc +1 more source
Exploring the impact of innovation guidance on user participation in online communities: A mixed methods investigation of cognitive and affective perspectives. [PDF]
Li Y, Gou X, Hu H, Zhang H.
europepmc +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Online communities as arenas of "amateur expertise": examples from the social media activity for justice for Roman Zadorov. [PDF]
Lev-On A.
europepmc +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source

