Results 211 to 220 of about 66,118 (249)

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

Advanced Science, EarlyView.
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

Correction: A practical guide to pulsed laser deposition.

Chem Soc Rev
Shepelin NA, Tehrani ZP, Ohannessian N, Schneider CW, Pergolesi D, Lippert T.   +5 more
europepmc   +1 more source

Regional and cannabis-related differences in prefrontal multiscale entropy of resting-state EEG. [PDF]

Clin Neurophysiol Pract
Creel WT, Brenner CA, Hartman RE.
europepmc   +1 more source

Genetic Control of Tissue Remodeling by a Non‐Coding SNP in ITGA8 Explains Carotenoid‐Based Color Polymorphism in Marine Mollusks

Advanced Science, EarlyView.
In this study, the orange‐muscle giant abalone (Haliotis gigantea) is used as a model to identify a non‐coding SNP that disrupts the interaction between ITGA8 pre‐mRNA and the splicing factor ILF2, leading to altered ITGA8 splicing. These splicing changes promote carotenoid accumulation in abalone muscle through the regulation of tissue remodeling ...
Xiaohui Wei, Wenzhu Peng, Zekun Huang, Bingye Yang, Yiyu Wu, Minzhen Han, Yi Wang, Bingling Peng, Guosheng Hu, Jiawei Hong, Guijia Liu, Linwei Nie, Yang Gan, Miaoqin Huang, Xuan Luo, Weiwei You, Wen Liu, Caihuan Ke   +17 more
wiley   +1 more source

Enhancing landslide detection in Western Ghats of Kerala, India with deep learning and Explainable AI. [PDF]

Sci Rep
Sreekumar A, Thirugnanam H, Meena SR, Ramesh MV.   +3 more
europepmc   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

Dynamical anomalous transport of molecules subject to inhomogeneous body forces. [PDF]

Z Angew Math Phys
Girelli A, Giantesio G, Musesti A, Penta R.   +3 more
europepmc   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Multiscale Nest-Site Selection of Burrowing Owl (<i>Athene cunicularia</i>) in Chihuahuan Desert Grasslands. [PDF]

Biology (Basel)
Ruiz Aymá G, Olalla Kerstupp A, Gómez Govea MA, Guzmán Velasco A, González Rojas JI.   +4 more
europepmc   +1 more source