New Method for Imputation of Unquantifiable Values Using Bayesian Statistics for a Mixture of Censored or Truncated Distributions: Application to Trace Elements Measured in Blood of Olive Ridley Sea Turtles from Mexico. [PDF]
Animals (Basel), 2022 Salvat-Leal I +3 more
europepmc +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Advanced Science, EarlyView.Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics. [PDF]
Methods, 2021 Karslake JD +6 more
europepmc +1 more source
Use of Bayesian statistics to calculate transient heat fluxes on compressor disks [PDF]
, 2022 Hui Tang +3 more
openalex +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Blending the New Statistics with Mixture Modeling -- A ROPE-based single-block Gibbs sampler for Bayesian t-tests [PDF]
, 2019 Riko Kelter
openalex
Relevant statistics for Bayesian model choice [PDF]
, 2011 Jean‐Michel Marin +3 more
openalex +1 more source
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples [PDF]
, 2020 Themistoklis P. Sapsis
openalex +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source