Results 101 to 110 of about 36,296 (256)

Straight-through and autoregressive influence estimation for influence maximization

open access: yesJournal of Physics: Complexity
Influence maximization(IM) aims to select a set of seed nodes in a social network to maximize the expected spread of information. It has long been a prominent research topic in statistical physics of social network analysis; however, traditional methods ...
Juyuan Zhang   +5 more
doaj   +1 more source

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand   +5 more
wiley   +1 more source

Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus   +2 more
wiley   +1 more source

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu   +7 more
wiley   +1 more source

Graph convolutional networks with the self-attention mechanism for adaptive influence maximization in social networks

open access: yesComplex & Intelligent Systems
The influence maximization problem that has drawn a great deal of attention from researchers aims to identify a subset of influential spreaders that can maximize the expected influence spread in social networks.
Jianxin Tang   +4 more
doaj   +1 more source

HEDV-Greedy: An Advanced Algorithm for Influence Maximization in Hypergraphs

open access: yesMathematics
Influence maximization (IM) has shown wide applicability in various fields over the past few decades, e.g., viral marketing, rumor control, and prevention of infectious diseases.
Haosen Wang, Qingtao Pan, Jun Tang
doaj   +1 more source

Clinical Significance of Therapeutic Drug Level Monitoring for Mycophenolate in Patients With Extrarenal Systemic Lupus Erythematosus—A Systematic Review and Meta‐Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh   +5 more
wiley   +1 more source

Competitive influence maximization in biased community networks: An adaptive algorithmic approach

open access: yesJournal of King Saud University: Computer and Information Sciences
Influence maximization is a widely recognized problem that aims to identify a limited set of influencers to maximize the coverage of influence propagation in a social network.
YuLe Zou
doaj   +1 more source

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