Results 131 to 140 of about 548,736 (273)
Bayesian Statistics for Surgical Decision Making. [PDF]
Hatton GE, Pedroza C, Kao LS.
europepmc +1 more source
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo +16 more
wiley +1 more source
Prediction of air quality in Sydney, Australia as a function of forest fire load and weather using Bayesian statistics. [PDF]
Storey MA, Price OF.
europepmc +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
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
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
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
Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images
Deep networks can facilitate the monitoring of a balanced diet to help prevent various health problems related to eating disorders. Large, diverse, and clean data are essential for learning these types of algorithms.
Roberto Morales +2 more
doaj +1 more source
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
Hospital efficiency analysis through individual effects: A Bayesian approach [PDF]
Monte Carlo Technique;Hospitals;Bayesian Statistics;Markov Chains;Panel ...
Koop, G., Osiewalski, J., Steel, M.F.J.
core +1 more source
A smart headband for multimodal physiological monitoring in human exercises
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu +7 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
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

