Results 191 to 200 of about 13,640 (282)

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, Volume 13, Issue 31, 4 June 2026.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, Volume 13, Issue 34, 19 June 2026.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Selective Sequestration of Toxic NOx Gases by P‐Doped Graphene: A Density Functional Theory Study

Advanced Physics Research, Volume 5, Issue 6, June 2026.
P‐doped graphene (P‐grap) is explored as an NOx sensor through DFT simulations. The analysis of its geometry, binding energies, electronic properties, and atom‐in‐molecule characteristics demonstrates that P‐grap is a selective sensor for NOx among a mixture of various gases.
Anwar Ali, Adnan Ali Khan, Iqtidar Ahmad, Yu‐Jia Zeng   +3 more
wiley   +1 more source

Graph Laplacian Spectrum, topological properties, and high-order interactions of Structural Brain Networks are Subject-Specific, Repeatable but Highly Dependent on Graph Construction Scheme

, 2023
Dimitriadis SI.
europepmc   +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

Model‐informed drug development to support nemolizumab clinical development in adults and adolescents with moderate to severe atopic dermatitis

British Journal of Clinical Pharmacology, Volume 92, Issue 6, Page 1744-1759, June 2026.
Abstract Aims Population pharmacokinetic (popPK) and pharmacokinetic‐pharmacodynamic (PK/PD) models were developed to support clinical development of nemolizumab, a humanized monoclonal antibody targeting the IL‐31 receptor α, in adolescents and adults with moderate‐to‐severe atopic dermatitis (AD).
Floris Fauchet, Anna Largajolli, Petra M. Jauslin, Emilie Schindler, Mourad Hamimed, Wannee Kantasiripitak, Antonio Gonçalves, Eline Van Maanen, Khaled Benkali, Tomohisa Saito, Jonathan I. Silverberg, Andreas Wollenberg, Michael Graeber, Liliana Ulianov, Christophe Piketty, Luca Loprete, Vincent Duval, Nathalie Wagner   +17 more
wiley   +1 more source

Indicator from the graph Laplacian of stock market time series cross-sections can precisely determine the durations of market crashes. [PDF]

PLoS One
Kang ZT, Yen PT, Cheong SA.
europepmc   +1 more source

Identification of Major Depressive Disorder Using Multiple Functional Connection Patterns

CNS Neuroscience &Therapeutics, Volume 32, Issue 6, June 2026.
We propose a Multiple Functional Connection Pattern Graph Convolutional Network (MFCP) for major depressive disorder identification using resting‐state fMRI. By integrating Pearson correlation, sparse representation, and Granger causality–based brain networks, MFCP captures complementary connectivity information.
Yudi Ruan, Lihe Guan, Liling Peng, Leina Zhao, Yufen Huang, Weikai Li, Xin Gao   +6 more
wiley   +1 more source

The G -invariant graph Laplacian part II: Diffusion maps. [PDF]

Appl Comput Harmon Anal
Rosen E, Cheng X, Shkolnisky Y.
europepmc   +1 more source

Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks

Engineering Reports, Volume 8, Issue 6, June 2026.
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley   +1 more source