Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Effectiveness and acceptability of biometrics to evaluate intervention coverage and contamination in a cluster randomised trial of community-based sexual and reproductive health services for youth in Zimbabwe. [PDF]
Simms V +14 more
europepmc +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Building a Mental Health-Ready Nursing Workforce: A Scoping Review of Preparatory Interventions. [PDF]
Angkawijaya IF, Gan CJJH, Li Z, Goh YS.
europepmc +1 more source
Prediction‐Guided Two‐Step Solid‐State Exploration of Unknown Pseudo‐Ternary Oxides
Prediction‐guided selection combined with two‐step solid‐state exploration enables efficient search of unknown pseudo‐ternary oxides. Broad robotic slurry screening followed by manual single‐phase isolation leads to the discovery of a new oxide, Ba5SnV6O22, showing how data‐guided experiments connect unexplored composition regions to new materials ...
Hiroyuki Hayashi
wiley +1 more source
Critical factors in online distance education
The digitalisation of tertiary education and interest in online learning have been growing for over a decade, making it a growth sector for universities. Patel et al. (2023) define online learning as education that involves the full capabilities of current technologies to provide an experience of immersed learning and meaningful communication among ...
openaire +1 more source
Building digital bridges: Sustaining medical education in Ukraine during the war through blended online modules. [PDF]
König S +4 more
europepmc +1 more source
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
Too far to care? A cohort study on travel distance and hospital use in children living with respiratory support. [PDF]
Florén J +5 more
europepmc +1 more source
Adaptive Collision Sensitivity for Efficient and Safe Human–Robot Collaboration
An adaptive collision‐sensitivity framework uses each robot link's effective mass to estimate contact forces online and decide when collaborative robots should stop or continue. Tested on simulated and real UR10e and simulated KUKA arms, it maintains conservative force estimates while reducing unnecessary stops and increasing task productivity. What is
Lukas Rustler +2 more
wiley +1 more source

