Construct validity of physical activity and sedentary behaviors staging measures for adolescents [PDF]
Athena S. Hagler+4 more
openalex +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
Construct Validity of the Athlete Introductory Movement Screen in Grassroots Footballers Aged 11-13 Years. [PDF]
Duncan MJ+5 more
europepmc +1 more source
An evaluation of the construct validity of situational judgment tests
D. Matthew Trippe, Roseanne J. Foti
openalex +2 more sources
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker+5 more
wiley +1 more source
Assessing the feasibility of measuring residents' quality of life in English care homes and the construct validity and internal consistency of measures completed by staff proxy: a cross-sectional study. [PDF]
Towers AM+14 more
europepmc +1 more source
Elastic‐Wave Propagation in Chiral Metamaterials: A Couple‐Stress Theory Perspective
The intrinsic chirality of chiral metamaterials renders an effective medium based on the classical continuum theory ineffective for predicting their acoustic activity. This limitation is addressed in the present study by employing augmented asymptotic homogenization to derive a couple‐stress‐based effective medium, enabling accurate predictions in the ...
Shahin Eskandari+5 more
wiley +1 more source
Diagnostic accuracy, reliability, and construct validity of the German quick mild cognitive impairment screen. [PDF]
Manser P, de Bruin ED.
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