Results 221 to 230 of about 44,356 (305)

Nonlinear associations between serum vitamin mixtures and cardiovascular disease risk: insights from a national cross-sectional analysis. [PDF]

Eur J Med Res
Tian M, Zhang J, Nian C, Wei M, Kuang W, Du W, Yang S, Zhao X, Liao Q, Xue Q, Guo F.   +10 more
europepmc   +1 more source

Bayesian variable selection in high-dimensional ordinal quantile regression models [PDF]

Mai Dao, Md Sakhawat Hossain, Zhuanzhuan Ma   +2 more
openalex   +1 more source

Weak Physics‐Guided Multi‐Agent Learning for Surface to Subsurface Moisture Estimation Across Diverse Climate and Soil Conditions

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Estimating subsurface soil moisture remains challenging due to limited in situ observations and the complexity of soil water dynamics. Although surface soil moisture can be retrieved from satellites with high accuracy, deeper layers are not directly observable. Traditional physics‐based models that predict subsurface soil moisture require site‐
Abhilash Singh, Vidhi Singh, Kumar Gaurav   +2 more
wiley   +1 more source

Polarising SNPs Without Outgroup

Molecular Ecology Resources, Volume 26, Issue 2, February 2026.
ABSTRACT Asserting which allele is ancestral or derived, known as polarisation, is a prerequisite of many population and quantitative genetic methods. One important application is the inference of the unfolded site‐frequency spectrum (uSFS). The most widely used approaches are based on outgroup data.
Jinyang Liang, Julien Y. Dutheil
wiley   +1 more source

Heavy metal mixtures exposure and breast cancer risk: synergistic effects with SHBG identified by mediation and moderation models. [PDF]

BMC Public Health
Zhang H, Zhu X, Xin M, Wang R, Wang T, Nie G, Zhang H, Yan J, Liu C.   +8 more
europepmc   +1 more source

Bayesian Regularized Quantile Regression Analysis Based on Asymmetric Laplace Distribution

, 2020
Qiaoqiao Tang, Haomin Zhang, Shifeng Gong   +2 more
openalex   +2 more sources

Predicting animal movement with deepSSF: A deep learning step selection framework

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 371-391, February 2026.
Abstract Predictions of animal movement are vital for understanding and managing wild populations. However, the fine‐scale, complex decision‐making of animals can pose challenges for the accurate prediction of trajectories. Integrated step selection functions (iSSFs), a common tool for inferring relationships between animal movement and the environment,
Scott W. Forrest, Dan Pagendam, Conor Hassan, Jonathan R. Potts, Christopher Drovandi, Michael Bode, Andrew J. Hoskins   +6 more
wiley   +1 more source

Environmental exposure to per- and polyfluoroalkyl substances and childhood congenital heart disease: a mixed analysis. [PDF]

Front Public Health
Jiao X, Zhao L, Xu Y, Gao J, Tang W, Wu Y, Yang L, Huang J, Guo Y, Sun K, Chen S.   +10 more
europepmc   +1 more source

Location–scale models in ecology and evolution: Heteroscedasticity in continuous, count and proportion data

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 554-566, February 2026.
Abstract Biological data often violate the assumption of constant variance, yet such heteroscedasticity can reflect meaningful biological processes such as plasticity, canalization or stress responses. Despite this, most models treat variance as statistical noise. Here, we reintroduce location–scale regression as a general framework that jointly models
Shinichi Nakagawa, Santiago Ortega, Elena Gazzea, Malgorzata Lagisz, Anna Lenz, Erick Lundgren, Ayumi Mizuno   +6 more
wiley   +1 more source

Beyond Single Pollutants: Mixture Analysis Methods in Air Pollution and Asthma Research. [PDF]

Am J Respir Crit Care Med
Lu W, Balmes JR.
europepmc   +1 more source