Results 121 to 130 of about 256,683 (274)

Minimally Clinically Important Difference of the Clinical Assessment Scale in Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The Clinical Assessment Scale in Autoimmune Encephalitis (CASE) tracks disease severity in autoimmune encephalitis (AE), but no threshold for significant change exists. We aimed to determine the minimally clinically important difference (MCID) for CASE.
Yihui Goh, Yoon Hee Shin, Soo Hyun Ahn, Su Yee Mon, Soo Jean Shin, Woo‐Jin Lee, Yoonhyuk Jang, Myoung‐Jin Jang, Soon‐Tae Lee   +8 more
wiley   +1 more source

Straight-through and autoregressive influence estimation for influence maximization

Journal 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, Chang Guo, Yuhao Zheng, Yang Zhou, Liming Pan, Lingyuan Lü   +5 more
doaj   +1 more source

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

Arthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

Comparative Influence Maximization With Adaptive Policy

IEEE Access
Influence maximization in social networks has received much research attention in recent years. It asks to select a set of influential users as seed nodes, so as to trigger the maximum influence spread across the network.
Xingliang Lv, Qihao Shi, Can Wang
doaj   +1 more source

Effectiveness and Safety of Baricitinib for Juvenile Idiopathic Arthritis–Associated Uveitis or Chronic Anterior Antinuclear Antibody–Positive Uveitis

Arthritis Care &Research, EarlyView.
Objective To evaluate the efficacy and safety of baricitinib in pediatric patients with active juvenile idiopathic arthritis–associated uveitis (JIA‐U) or chronic anterior antinuclear antibody–positive uveitis, who had an inadequate response to methotrexate (MTX) or biologic disease‐modifying antirheumatic drugs (bDMARDs).
Athimalaipet V. Ramanan, Catherine M. Guly, Gabriele Simonini, Stuart Y. Keller, Priyanka Sen, Thorsten Holzkaemper, Joana Araújo, Pierre Quartier   +7 more
wiley   +1 more source

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

Complex & 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, Shihui Song, Qian Du, Yabing Yao, Jitao Qu   +4 more
doaj   +1 more source

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

Mathematics
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

An Influence Maximization Algorithm for Dynamic Social Networks Based on Effective Links. [PDF]

Entropy (Basel), 2022
Fu B, Zhang J, Bai H, Yang Y, He Y.
europepmc   +1 more source

Impact of Positive Lifestyle Behaviors on Direct Health Care Cost Savings for Low Back Pain

Arthritis Care &Research, EarlyView.
Objective This study aimed to investigate the relationship between a previously purpose‐developed lifestyle behavior scale and health care cost savings related to low back pain (LBP). Methods This longitudinal study used data from the Australian Twin Back (AUTBACK) study. LBP and lifestyle behavior measures were collected at baseline. Physical activity
Ye Tian, Katharine E. Roberts, Michelle Hall, Paula R. Beckenkamp, Angelo Sabag, Karoline Moe, Ana Paula Carvalho‐e‐Silva, Emily J. Callander, Paulo H. Ferreira   +8 more
wiley   +1 more source

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

Journal 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