Results 181 to 190 of about 294,457 (253)

Maximum a posteriori Bayesian methods out-perform non-compartmental analysis for busulfan precision dosing. [PDF]

J Pharmacokinet Pharmacodyn
Hughes JH, Long-Boyle J, Keizer RJ.
europepmc   +1 more source

Design of Photocatalytic Composite Coatings for Formaldehyde Removal Based on the Visual Effects of Wood Furniture

Advanced Science, EarlyView.
This work develops photocatalytic coatings for indoor formaldehyde removal on wood surfaces. It explores coating‐induced color variations and visual perception via eye‐tracking tests. Combined with XGBoost and Bayesian optimization, an intelligent design framework is established to guide the optimization of visually friendly wood photocatalytic ...
Xinyue Wei, Shuyuan Chen, Xinlong Zhou, Han Wang, Wei Guo, Xiaoting Niu, Wei Li, Zhen Ding, Haiyuan Chi   +8 more
wiley   +1 more source

Toward ambulatory monitoring of vocal behavior at the physiological level using deep ensembles and Bayesian neural networks. [PDF]

JASA Express Lett
Zhang Z.
europepmc   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

A genome-wide association study on growth traits of Korean commercial pig breeds using Bayesian methods. [PDF]

Anim Biosci
Jung JH, Lee SM, Oh SH.
europepmc   +1 more source

Systematic Multi‐Level Analyses Decode the Arthritis‐Neurodegeneration Axis With In Vivo Validation

Advanced Science, EarlyView.
Arthritis and neurodegeneration are usually studied as separate disorders, but this study connects them through population evidence, genetic inference, transcriptomic mapping, and mouse models. It highlights RNF40 as a context‐dependent joint‐brain candidate, induced in inflammatory joints yet functionally linked to dopamine‐neuron vulnerability ...
Jinwen Wang, Wenhui Xie, Lei Yang, Zhengrong Wang, Yi Huang, Peng Huang, Yuan Liu, Jun Hu   +7 more
wiley   +1 more source

Novel non-linear models for clinical trial analysis with longitudinal data: A tutorial using SAS for both frequentist and Bayesian methods. [PDF]

Stat Med
Wang G, Wang W, Mangal B, Liao Y, Schneider L, Li Y, Xiong C, McDade E, Kennedy R, Bateman R, Cutter G.   +10 more
europepmc   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators

Advanced Science, EarlyView.
This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li, Alexander Yin, Alexander White, Sahib Sandhu, Anatol Gogoj, Denise Maria de Andrade, Matthew Francoeur, Victor Jimenez‐Santiago, Van Remenar, Codrin Tugui, Mihai Duduta   +10 more
wiley   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source