Results 131 to 140 of about 4,648,552 (299)
Comparison between the temporal networks and the time aggregated networks.
, 2016 Comparison between the temporal networks and the time aggregated networks.
Hartmut H. K. Lentz (279805) +3 more
core +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Generalizing Hypergraph Ego-Networks and Their Temporal Stability
Ego-networks provide a local perspective on networked systems by focusing on a central entity and its immediate relational context. While extensively studied in static pairwise interaction models, their analysis in dynamic and higher-order interaction ...
Cauteruccio, Francesco +7 more
core +1 more source
Mining motifs in temporal networks [PDF]
, 2022 Temporal networks are mathematical tools used to model complex systems which embed the temporal dimension. In this thesis we address the problem of counting motifs in temporal networks. We provide a new exact parallel algorithm which is both scalable and
Sarpe, Ilie
core
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
Temporal Sequences in Boolean Networks
Europhysics Letters (EPL), 1991 It is shown that a recursive network of logic devices may recall a sequence of memories. We propose a "majority channel rule" to set the Boolean functions and find that in the limit of large but dilute connectivity c of the nodes, the network may store of the order of (3/4)c/c2 patterns.
Watkin, T, Sherrington, D
openaire +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
EntropyThis study advances the field of infectious disease forecasting by introducing a novel approach to micro-level contact modeling, leveraging human movement patterns to generate realistic temporal-dynamic networks.
Diaoulé Diallo +3 more
doaj +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
A Machine Learning Approach for Predicting Edge Motif Counts in Temporal Graphs
reservedTemporal Networks are directed graphs where edges have labels representing the times of interactions. A fundamental problem in Network analysis is to count connected subgraph pattern, also known as "Motif Counting".
PRINCIPE, BRUNO
core