Results 101 to 110 of about 7,097,824 (285)
In psychology, small sample sizes are a frequent challenge—particularly when studying specific expert populations or using complex and cost-intensive methods like human scoring of creative answers—as they reduce statistical power, bias results, and limit
Selina Weiss +2 more
doaj +1 more source
On the use of Structural Equation Models and PLS Path Modeling to build composite indicators [PDF]
Nowadays there is a pre-eminent need to measure very complex phenomena like poverty, progress, well-being, etc. As is well known, the main feature of a composite indicator is that it summarizes complex and multidimensional issues. Thanks to its features,
Giorgio Russolillo, Laura Trinchera
core
An optimized Cas9‐enriched nanopore sequencing workflow, combined with STRiker, enables simultaneous analysis of disease‐associated STR loci from patient blood. The nCATS–STRiker workflow detects repeat expansions, de novo repeat motifs, interruption patterns, and methylation in a single assay, improving the genetic diagnosis of previously undiagnosed ...
Seungbok Lee +11 more
wiley +1 more source
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu +10 more
wiley +1 more source
Microbiome mediation analysis: methods, assumptions, and practical considerations
Microbiome mediation analysis provides a principled framework for understanding how environmental, behavioral, or clinical exposures influence human health through microbiomemediated biological pathways.
Ziman Jiang, Gen Li
doaj +1 more source
Psychometric properties of the Chinese version of Five Facet Mindfulness Questionnaire-short form in cancer patients: a Bayesian structural equation modeling approach. [PDF]
Fong TCT, Wan AHY, Wong VPY, Ho RTH.
europepmc +1 more source
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
Improving Credit Risk Assessment in Uncertain Times: Insights from IFRS 9
This study highlights the superior performance of Bayesian Model Averaging (BMA) in credit risk modeling under IFRS 9, particularly during economic uncertainty, such as the COVID-19 pandemic. Using granular bank-level data from Malta, spanning 2017–2023,
Petr Jakubik, Saida Teleu
doaj +1 more source
A Bayesian Structural Equation Modeling Factor Analysis of the UCLA Posttraumatic Stress Disorder Reaction Index for DSM-5 in a Polyvictimized Sample of Adolescents. [PDF]
Modrowski CA +3 more
europepmc +1 more source

