Influential nodes identification for complex networks based on multi-feature fusion. [PDF]
Li S, Quan Y, Luo X, Wang J.
europepmc +1 more source
Change-Aware Siamese Network for Surface Defects Segmentation under Complex Background [PDF]
Biyuan Liu +4 more
openalex +1 more source
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
Information and Knowledge Diffusion Dynamics in Complex Networks with Independent Spreaders. [PDF]
Zhuang Y, Li W, Liu Y.
europepmc +1 more source
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
Detectability constraints on meso-scale structure in complex networks. [PDF]
Arthur R.
europepmc +1 more source
SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas +18 more
wiley +1 more source
Complex networks interactions between bioactive compounds and adipose tissue vis-à-vis insulin resistance. [PDF]
Barrera-Esparza M +7 more
europepmc +1 more source
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
Linear programming-based stabilization and synchronization of positive complex networks with dynamic link subsystems. [PDF]
Hong S +4 more
europepmc +1 more source

