Results 191 to 200 of about 4,492 (243)
Projecting the impacts of climate and land-use change on avian influenza suitability in Bangladesh. [PDF]
Castonguay AC +7 more
europepmc +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
Depth prediction of urban waterlogging based on BiTCN-GRU modeling. [PDF]
Wang Q, Tang M, Shi P.
europepmc +1 more source
Abstract Background and Purpose Alcohol abuse and affective disorders are severe comorbid psychiatric diseases characterized by impaired brain synaptic transmission. The role of presynaptic scaffolding proteins coordinating presynaptic plasticity and neurotransmitter release, such as Bassoon (Bsn), in the pathogenesis of these disorders remains elusive.
Liubov S. Kalinichenko +14 more
wiley +1 more source
A network recovery strategy based on boundary nodes and tetrahedral approximation fermat points in three-dimensional wireless sensor networks. [PDF]
Xu B, Chen H, Cheng Y.
europepmc +1 more source
Hierarchical Differentiable Fluid Simulation
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
Computational Analysis of Biodegradable Polyester Materials for Biomedical Applications: Investigating Molecular Weight Change due to Hydrolysis. [PDF]
Velu AJ +4 more
europepmc +1 more source

