Results 111 to 120 of about 7,749,372 (301)
Bayesian hierarchical modelling of bacteria growth [PDF]
Bacterial growth models are commonly used in food safety. Such models permit the prediction of microbial safety and the shelf life of perishable foods.
Ana P. Palacios +2 more
core
Advanced Science, EarlyView.The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English +9 more
wiley +1 more source
HIERARCHICAL BAYESIAN MODELING FOR SPATIAL TIME SERIES: AN ALTERNATIVE APPROACH TO SPATIAL SUR [PDF]
Despite the fact that the amount of datasets containing long economic time series with a spatial reference has significantly increased during the years, the presence of integrated techniques that aim to describe the temporal evolution of the series while
Yiannis Kamarianakis
core
Advanced Science, EarlyView.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
spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models [PDF]
Scientists and investigators in such diverse fields as geological and environmental sciences, ecology, forestry, disease mapping, and economics often encounter spatially referenced data collected over a fixed set of locations with coordinates (latitude ...
Bradley P. Carlin +2 more
core
Advanced Science, EarlyView.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
Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments
PsychDespite the importance of demonstrating and evaluating how structural equation modeling (SEM), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM) work simultaneously, research comparing these analytic ...
Hyeri Hong +2 more
doaj +1 more source
Longitudinal hierarchical Bayesian models of covariate effects on airway and alveolar nitric oxide. [PDF]
Sci Rep, 2023 Weng J +5 more
europepmc +1 more source
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
Advanced Science, EarlyView.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
Hierarchical Bayesian models of transcriptional and translational regulation processes with delays. [PDF]
Bioinformatics, 2021 Cortez MJ +4 more
europepmc +1 more source