A Hybrid Response Surface Methodology and Machine Learning Framework for Quantifying Effects of Physicochemical Parameters on PFAS Distribution. [PDF]
Patel HV +4 more
europepmc +1 more source
Halide perovskite solar cells are fabricated with self‐encapsulation by lamination between two glass substrates using rapid Joule heating, yielding a 99% reduction in lamination time compared to previous studies. An 18% efficient cell is laminated in 5 s, demonstrating the potential for scalable manufacturing. ABSTRACT Perovskite solar cells (PSCs) are
Oluka Okia +9 more
wiley +1 more source
Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study. [PDF]
Zhang X +5 more
europepmc +1 more source
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi +4 more
wiley +1 more source
Geospatial variation and machine learning approaches to predict open defecation practice in Zambia. [PDF]
Birlie AA +10 more
europepmc +1 more source
Topography‐Regulated Screening Platform for Myoblast Contact Guidance
This study develops a topography‐regulated screening platform (12 gradients in 96‐topography‐well plate) enabling analysis of skeletal muscle morphogenesis. The topography‐induced cell morphology changed, cell polarization, and myotube differentiation, establishing an evaluative framework for generating pathologically relevant myotube phenotypes to ...
Tianqi Feng +6 more
wiley +1 more source
Machine learning-driven renewable energy grid integration stability assessment: LIME interpretability and LLM intelligent analysis. [PDF]
Xu R, Zheng Y, Meng Q, Yang Q.
europepmc +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
An ESAT-6-convergent prime-boost vaccination combining recombinant BCG expressing Mycobacterium marinum ESX-1 and ESAT-6/GLA-SE improves TB protection. [PDF]
Kwon KW +4 more
europepmc +1 more source
An intelligent auxiliary diagnostic system for early osteoporosis screening using stacking ensemble learning. [PDF]
Wang Q, Liu J, Zhu M, Ye HY, Shang Y.
europepmc +1 more source

