Results 51 to 60 of about 6,143,323 (339)
Unsupervised learning with contrastive latent variable models
, 2018 In unsupervised learning, dimensionality reduction is an important tool for data exploration and visualization. Because these aims are typically open-ended, it can be useful to frame the problem as looking for patterns that are enriched in one dataset ...
Ghosh, Soumya +2 more
core +1 more source
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Atmosphere, 2021 Air pollution is one of the most pressing modern-day issues in cities around the world. However, most cities have adopted air quality measurement devices that only measure the past pollution levels without paying attention to the influencing factors.
Bulgansaikhan Baldorj +3 more
doaj +1 more source
Psychological bulletin, 2018 Confirmatory factor analysis (CFA) has been frequently applied to executive function measurement since first used to identify a three-factor model of inhibition, updating, and shifting; however, subsequent CFAs have supported inconsistent models across ...
J. Karr +5 more
semanticscholar +1 more source
FEBS Open Bio, EarlyView.We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source
Efficient estimation of generalized linear latent variable models
PLoS ONE, 2019 Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for instance, in ecological studies, where presence-absences, counts, or biomass of interacting species ...
Jenni Niku +5 more
semanticscholar +1 more source
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
Developing a Variation Index for Understanding Step Characteristics in the Long Jump Approach Run
Physical Education Theory and MethodologyObjectives. The prime objective of the study was to develop a new variation index that can be used to identify the mechanical variations in the step pattern of the approach run. Materials and methods.
Ankur Jyoti Phukon, Krishnendu Dhar
doaj +1 more source
THEORETICAL AND PRACTICAL ASPECTS OF IDENTIFICATION AND EVALUATION OF SCHOOL EDUCATION QUALITY
Образование и наука, 2015 The paper considers one of the main theoretical and practical pedagogical problems of education quality assessment. The quality measurement depends on successful identification of genuine (scientific) and false diagnostic methods; the process becomes ...
N. Y. Yerganova +2 more
doaj +1 more source
Tensor decompositions for learning latent variable models [PDF]
, 2014 This work considers a computationally and statistically efficient parameter estimation method for a wide class of latent variable models---including Gaussian mixture models, hidden Markov models, and latent Dirichlet allocation---which exploits a certain
Anandkumar, Anima +4 more
core +5 more sources