Results 101 to 110 of about 390,663 (288)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
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 +3 more
wiley +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
This work introduces a multimodal multi‐OoC platform that overcomes current limitations in liver‐tumor interaction studies and prodrug screening. By integrating dynamic microfluidic circuits, electrochemical sensing, and mass analysis, this platform enables non‐invasive, longitudinal monitoring of drug metabolism and hepatotoxicity, offering a ...
Dan Wang +10 more
wiley +1 more source
Learning technologies and EFL teamwork
In this article, we discuss how technology-based learning methodologies developed in primary and secondary education can offer useful approaches to higher education instruction.
Soraya García-Sánchez +1 more
doaj
Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning
The integration of generative artificial intelligence (AI) into adaptive and personalized learning represents a transformative shift in the educational landscape.
Manel Guettala +3 more
doaj +1 more source
Design of an Effective WSN-Based Interactive u-Learning Model
Wireless sensor networks include a wide range of potential applications to improve the quality of teaching and learning in a ubiquitous environment.
Hye-jin Kim +2 more
doaj +1 more source
A Survey on Metric Learning for Feature Vectors and Structured Data
The need for appropriate ways to measure the distance or similarity between data is ubiquitous in machine learning, pattern recognition and data mining, but handcrafting such good metrics for specific problems is generally difficult.
Bellet, Aurélien +2 more
core
Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen +5 more
wiley +1 more source
Nanoplastics and Neurodegeneration: A Roadmap From Mechanism to Causation
Nanoplastics are pervasive environmental contaminants with potentially profound implications for human health. Emerging evidence suggests a possible link between nanoplastic exposure and neurodegeneration, a key driver of ageing and dementia, yet causality remains unresolved.
Yuhuan Li +5 more
wiley +1 more source
Grain Boundary‐Driven Lattice Dynamics in a Solid‐State Li‐Ion Conductor
Grain boundaries in Li3OCl${\rm Li}_3{\rm OCl}$ are shown to significantly alter its lattice dynamics and induce Li‐ion vibrational hardening and anion softening. These changes hinder ion transport while promoting electronic conductivity and instability.
Jack M. Hemingway +3 more
wiley +1 more source

