Results 221 to 230 of about 2,443,182 (340)
Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert Scales. [PDF]
Tijmstra J, Bolsinova M.
europepmc +1 more source
Understanding Differential Item Functioning and Item bias In Psychological Instruments [PDF]
openaire +2 more sources
Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish+2 more
wiley +1 more source
Evaluation of intervention systematic reviews on chronic non-communicable diseases and lifestyle risk factors in low-middle income countries: meta-research. [PDF]
Cano BHS+7 more
europepmc +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Berberine and health outcomes: an overview of systematic reviews. [PDF]
Shi L, Wang W, Jing C, Hu J, Liao X.
europepmc +1 more source
In this manuscript, the processability of X2CrNiMo17‐12‐2 powder coated with silicon carbide, silicon, and silicon nitride nanoparticles is investigated. The amount of nanoparticles varies from 0.25 to 1 vol%. By coating the powder feedstock material with nanoparticles, an enlargement of the process window and an increase in the build rate are achieved.
Nick Hantke+5 more
wiley +1 more source
A Tool to Assess Bias, Racism, and Allyship in the Healthcare Learning Environment. [PDF]
Shamith S+5 more
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Assessing Weight Stigma Interventions: A Systematic Review of Randomized Controlled Trials. [PDF]
Wang C+7 more
europepmc +1 more source