Results 171 to 180 of about 297,409 (309)

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

Rerum Novarum: Educational resource to promote occupational health and rights in the industrial age of artificial intelligence. [PDF]

J Educ Health Promot
Persaud E.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

RibXcar with Dots Point Technique: The Science of Fracture as a Safety Principle. [PDF]

Plast Reconstr Surg Glob Open
Manzaneda Cipriani RM, Duran H, Adrianzen GA, Flores E, Romero Algara E, Salazar JD, Moussa HB, Fogel B, Chumbiauca Munares R, Gamarra Quispe GE.   +9 more
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
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

Exploring the impact of ESG controversies on private hospital performance in China. [PDF]

Medicine (Baltimore)
Yang H, Xu J.
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Trends in Poverty and Inequality in Seven African Countries

This paper aims to analyse trends in poverty and inequality in seven African countries using an asset index constructed from comparable, nationally representative surveys using multiple correspondence analysis. Improvements in the asset index are largely
Servaas Van der Berg, Frikkie Booysen, Michael von Maltitz, Gideon Du Rand, Ronelle Burger   +4 more
core   +1 more source

Correction: Budget impact analysis of the introduction of ranibizumab's biosimilar to the Jordanian joint procurement system. [PDF]

Front Public Health
Hamida JA, Alkhatib NS, Hammour KA, Halloush S, Kurdi A, Balkhi B, Alfayez OM, Mousa R.   +7 more
europepmc   +1 more source