Results 131 to 140 of about 337,641 (297)
Symmetric Matrices, Signed Graphs, and Nodal Domain Theorems [PDF]
Chuanyuan Ge, Shiping Liu
openalex +1 more source
Objective This study aimed to determine if program format (in‐person, virtual, or hybrid) results in differences in 3‐month outcomes of pain, function, quality of life, self‐efficacy, and chair stands in a hip/knee osteoarthritis‐management program. Methods A secondary analysis of the Good Life with osteoArthritis in Denmark (GLA:D) Canada database was
Jill Van Damme +7 more
wiley +1 more source
On Spectral Analysis of Directed Signed Graphs [PDF]
Yuemeng Li, Xintao Wu, Aidong Lu
openalex +1 more source
Beyond Inflammation: Why Understanding the Brain Matters in Inflammatory Arthritis
Persistent pain remains a major challenge in inflammatory arthritis, even when joint inflammation is well controlled. Pain and associated symptoms such as fatigue cannot be explained by peripheral inflammation alone but reflect altered central pain processing. These changes may arise through “top‐down” mechanisms, reflecting pre‐existing dysfunction in
Eoin M. Kelleher +2 more
wiley +1 more source
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
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
Objective The goal was to assess the diagnostic performance of three novel autoantibodies (NA) for Sjögren's disease (SjD) by comparing NA prevalence in patients with SjD, other autoimmune rheumatic diseases (ARDs), nonspecific chronic sialadenitis (CS), and controls.
Chadwick R. Johr +5 more
wiley +1 more source
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva +4 more
wiley +1 more source

