Results 121 to 130 of about 337,199 (252)
Signed graphs with strong (anti-)reciprocal eigenvalue property
Special MatricesA (signed) graph is said to exhibit the strong reciprocal (anti-reciprocal) eigenvalue property (SR) (resp., (-SR)) if for any eigenvalue λ\lambda , it has 1λ\frac{1}{\lambda } (resp.,−1λ-\frac{1}{\lambda }) as an eigenvalue as well, with the same ...
Belardo Francesco, Huntington Callum
doaj +1 more source
Von Economo Neuron Loss in Frontotemporal Dementia: A Meta‐Analysis of Neuropathological Studies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Von Economo neurons (VENs) have been reported to be vulnerable to neurodegeneration in frontotemporal dementia (FTD), particularly the behavioral variant (bvFTD), but these findings have not been systematically assessed across independent brain banks.
Daniel Talmasov +2 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
Transactions on Combinatorics, 2014 A signed graph (marked graph) is an ordered pair $S=(G,sigma)$ $(S=(G,mu))$, where $G=(V,E)$ is a graph called the underlying graph of $S$ and $sigma:Erightarrow{+,-}$ $(mu:Vrightarrow{+,-})$ is a function.
Kishori P. Narayankar
doaj
Advanced Engineering Materials, EarlyView.A stretchable carbon composite is integrated by stencil printing onto two different types of textile, with different yarn morphologies. The impact of the knit structure and coating direction on the performance of the sensor composite is evaluated and used to derive a model estimating nominal resistance at a given strain near the percolation threshold ...
Gabriela Ananieva +2 more
wiley +1 more source
The proliferation of signed networks in contemporary social media platforms necessitates robust privacy-preserving mechanisms. Graph unlearning, which aims to eliminate the influence of specific data points from trained models without full retraining, becomes particularly critical in these scenarios where user interactions are sensitive and dynamic ...
Luo, Zhifei +3 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
wiley +1 more source
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
Advanced Engineering Materials, EarlyView.This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding. [PDF]
BMC Bioinformatics, 2020 Yang F, Fan K, Song D, Lin H.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker +4 more
wiley +1 more source