Random-effects meta-analysis models for pooling rare events data: a comparison between frequentist and bayesian methods. [PDF]
Yao M +6 more
europepmc +1 more source
Analysing the distance decay of community similarity in river networks using Bayesian methods. [PDF]
Dias FS +3 more
europepmc +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
Risk factors for Q fever incidence in Korea: a comparative analysis using frequentist and Bayesian methods. [PDF]
Son JH, Park SD.
europepmc +1 more source
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Comparing Frequentist and Bayesian Methods for Factorial Invariance with Latent Distribution Heterogeneity. [PDF]
Liang X +3 more
europepmc +1 more source
Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors. [PDF]
Al Amer FM, Thompson CG, Lin L.
europepmc +1 more source
Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang +6 more
wiley +1 more source
Nominal elastic modulus assessment in 3D-printed components under varying printing parameters using Bayesian methods and random forest surrogate modeling. [PDF]
Zhang J, Lu L, Feng P, Zhu T.
europepmc +1 more source
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source

