Results 181 to 190 of about 12,151,236 (300)
Use of a Non-parametric Bayesian Method to Model Health State Preferences: An Application to Polish and Irish EQ-5D-5L Valuations. [PDF]
Kharroubi SA, Kelleher D.
europepmc +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
An evaluation of a Bayesian method to track outbreaks of known and novel influenza-like illnesses. [PDF]
Aronis JM +5 more
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
A supervised Bayesian method for time (re)annotation of transcriptomics data. [PDF]
Nushi E +7 more
europepmc +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
A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization. [PDF]
Huang H, Dong C, Zhang Y, Zhang S.
europepmc +1 more source
VAR Forecasting Using Bayesian Variable Selection [PDF]
This paper develops methods for automatic selection of variables in Bayesian vector autoregressions (VARs) using the Gibbs sampler. In particular, I provide computationally efficient algorithms for stochastic variable selection in generic linear and ...
Dimitris Korobilis
core
Probabilistic Computing via Gate‐Tunable Random Telegraph Noise
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun +8 more
wiley +1 more source
A Drug Similarity-Based Bayesian Method for Early Adverse Drug Event Detection. [PDF]
Shi Y +7 more
europepmc +1 more source

