Results 41 to 50 of about 26,892 (218)

The eigenvector bead process

open access: yesJournal of Physics A: Mathematical and Theoretical
Abstract We investigate the overlap matrix between the eigenvectors of a Wigner matrix H
Antonin Barbe   +2 more
openaire   +2 more sources

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

open access: yesAdvanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui   +11 more
wiley   +1 more source

A local eigenvector centrality

open access: yesCoRR
17 pages, 8 ...
Ruaridh A. Clark   +3 more
openaire   +2 more sources

Evaluation of quantitative muscle MRI and an intelligent phenotyping housing system as advanced phenotyping methods in a mouse model of calpain 3‐deficient muscular dystrophy

open access: yesAnimal Models and Experimental Medicine, EarlyView.
We applied quantitative MRI of the lower limb and automated home‐cage phenotyping to a mouse model of calpainopathy to detect early disease changes. At 15 months, calpain 3‐deficient mice showed increased water T2 values correlating with immune cell infiltration in the soleus and gastrocnemius muscles, while assessment of motor activity revealed only ...
Nicolina Südkamp   +12 more
wiley   +1 more source

Citrus aurantium honey‐mediated gut homeostasis and anti‐inflammation via Thorl/Nprl2‐TORC1 signaling: Network pharmacology and Drosophila validation

open access: yesAnimal Models and Experimental Medicine, EarlyView.
The study employed a four‐tiered strategy: (1) UHPLC‐FTMS profiling of Citrus aurantium honey to characterize its chemical composition; (2) network pharmacology analysis integrating target prediction, protein–protein interaction networks, and KEGG pathway enrichment to identify the Thor1/Nprl2‐TORC1 axis as a key mechanistic pathway; (3) in vitro ...
Wenqi Wan   +6 more
wiley   +1 more source

Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis

open access: yesAnnals of Neurology, EarlyView.
Objective Multiple sclerosis (MS) develops after a prolonged preclinical phase. Identifying circulating biomarkers that capture this early biology can improve risk stratification and guide intervention. We aimed to identify plasma proteins driving MS susceptibility using large‐scale proteogenomic integration and to evaluate their prediagnostic ...
Yuan Ding   +5 more
wiley   +1 more source

Multi‐method analysis for the three‐dimensional reconstruction of muscle fascicles from DiceCT datasets

open access: yesThe Anatomical Record, EarlyView.
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz   +5 more
wiley   +1 more source

Laplacian Eigenvector Centrality

open access: yesCoRR
58 pages with 18 figures and 8 tables (including appendix)
Koya Shimono, Wataru Tamura
openaire   +2 more sources

Patterns of spinal motion, kinematic spaces and the land‐to‐sea transition in carnivorans

open access: yesThe Anatomical Record, EarlyView.
Using 3D reconstructions, we quantify intervertebral joint mobility to investigate how cervical, thoracic, and lumbar vertebral regions evolved distinct kinematic roles in pinnipeds. The findings reveal lineage‐specific adaptations for swimming and highlight the functional significance of vertebral joint flexibility in ecological transitions.
Juan Miguel Esteban   +3 more
wiley   +1 more source

Eigenvectors in bottleneck algebra

open access: yesLinear Algebra and its Applications, 1992
The paper deals with a characterization of the eigenvectors in terms of the associated graph and with an alternative way of computing them. Upper and lower bounds for all eigenvectors are given. The approach is illustrated by several numerical examples.
openaire   +2 more sources

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