Results 231 to 240 of about 10,357 (300)
ABSTRACT This study extends a deep learning framework for the inverse reconstruction of open‐cell porous metamaterials targeting specific hydraulic properties such as porosity and intrinsic permeability. Building on our recent work that employed a property‐variational autoencoder (pVAE) for structure–property mapping, the current contribution examines ...
Phu Thien Nguyen +3 more
wiley +1 more source
Longitudinal metabolomics reveals dynamic associations of trimethylamine N-oxide and precursors with the progression of gestational diabetes. [PDF]
Wu Y +8 more
europepmc +1 more source
ABSTRACT Traditional pharmacokinetic‐pharmacodynamic models assume cellular homogeneity, yet clinical observations reveal substantial response variability even among patients with similar plasma exposure. We hypothesized that cellular heterogeneity in drug transporter expression, coupled with nonlinear dose–response relationships, can amplify ...
Nhung Hong‐Thi Duong +4 more
wiley +1 more source
Association of Ambient Air Pollution and Pregnancy Outcomes Among Women with Assisted Reproductive Technology in Qingdao, China: A Retrospective Cohort Study. [PDF]
Chen S +11 more
europepmc +1 more source
Bayes factor for linear mixed model in genetic association studies
Abstract Bayes factor has advantages over p‐value as test statistics for association, particularly when comparing multiple non‐nested alternative models. An efficient method to compute Bayes factor for linear mixed model (LMM) in the context of genetic association studies is lacking.
Yongtao Guan, Daniel Levy
wiley +1 more source
Mixture Effects of Metals, PCBs, Dioxins, and Furans on Liver Function. [PDF]
Akinyemi B, Obeng-Gyasi E.
europepmc +1 more source
Mixture‐Based Estimation of Multivariate Data Hypervolume
ABSTRACT Estimating the hypervolume occupied by multivariate data is a fundamental problem in statistics and data science, with applications ranging from ecology and machine learning to multi‐objective optimization and Bayesian inference. Traditional approaches rely on geometric approximations, kernel density estimation, or convex‐hull constructions ...
Luca Scrucca
wiley +1 more source
A Sequential Design for Extreme Quantile Estimation Under Binary Sampling. [PDF]
Broniatowski M, Miranda E.
europepmc +1 more source
Cluster Trials Inference With CARE
ABSTRACT We show that cluster‐randomized trials—especially pragmatic designs—often exhibit substantial (but underappreciated in practice) heterogeneity in cluster sizes and structures, distorting inference. Our simulations—reassigning treatment in real data and varying imbalance in synthetic data—show that currently recommended methods (such as ...
Sergey Alexeev, Rachael L. Morton
wiley +1 more source

