Results 171 to 180 of about 121,870 (266)

Memristance and transmemristance in multiterminal memristive systems. [PDF]

Sci Rep
Milano G, Pilati D, Michieletti F, Cultrera A, Ricciardi C, Miranda E.   +5 more
europepmc   +2 more sources

Assessment of Radiographic Image Texture in the Maxilla and Mandible Around Titanium Inserts Used for Osteosynthesis of Dentofacial Deformities. [PDF]

J Funct Biomater
Antonowicz B, Borowska M, Łukaszuk K, Woźniak Ł, Zalewska A, Distefano A, Borys J.   +6 more
europepmc   +1 more source

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

Advanced Science, Volume 13, Issue 21, 13 April 2026.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos, Gustavo Felizardo Santos Sandes, Artur Christian Garcia da Silva, Holli‐Joi Martin, Eugene N. Muratov, Rodolpho de Campos Braga, Bruno Junior Neves   +6 more
wiley   +1 more source

ACF-SAP: A machine learning framework for predicting obstructive sleep apnea severity using anthropometric and clinical features. [PDF]

Clin Neurophysiol Pract
Ashtaiwi A, Eltwayeb M.
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

scSCCNIA: similarity matrix based contrastive clustering with neighbor information aggregation for single-cell RNA sequencing data. [PDF]

Brief Bioinform
Wang J, Xia J, Su Y, Zheng CH.
europepmc   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Integrating Multi-Source Directed Gene Networks and Multi-Omics Data to Identify Cancer Driver Genes Based on Graph Neural Networks. [PDF]

Int J Mol Sci
Jiang Y, Liu Y, Qi R, Li S, Zhang T.
europepmc   +1 more source

Red Blood Cell Membrane Mechanics Using Discrete Exterior Calculus (DEC) and Optimization

International Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 4, April 2026.
We present a novel DEC approach for calculating RBC shapes applicable to other cell types and membrane problems. We derive an energy minimization equation that can be solved semi‐implicitly, and a Lie derivative method to control node spacing. This novel work should aid computational modeling in many biological situations.
Keith C. Afas, Daniel Goldman
wiley   +1 more source

LONMF: a non-negative matrix factorization model based on graph Laplacian and optimal transmission for paired single-cell multi-omics data integration. [PDF]

BMC Bioinformatics
Nan M, Ren Q, Fu Y, Chen X, Qi G, Wang L, Gao J.   +6 more
europepmc   +1 more source