An Evaluation Model for Node Influence Based on Heuristic Spatiotemporal Features.

The accurate assessment of node influence is of vital significance for enhancing system stability. Given the structural redundancy problem triggered by the network topology deviation when an empirical network is copied, as well as the dynamic characteristics of the empirical network itself, it is difficult for traditional static assessment methods to effectively capture the dynamic evolution of node influence. Therefore, we propose a heuristic-based spatiotemporal feature node influence assessment model (HEIST).

TP-GCL: graph contrastive learning from the tensor perspective.

Graph Neural Networks (GNNs) have demonstrated significant potential as powerful tools for handling graph data in various fields. However, traditional GNNs often encounter limitations in information capture and generalization when dealing with complex and high-order graph structures. Concurrently, the sparse labeling phenomenon in graph data poses challenges in practical applications.

Three-dimensional sonography has satisfied accuracy for detecting rotator cuff tears.

Background: Rotator cuff injuries and tears are common causes of shoulder pain and dysfunction, necessitating accurate diagnostic methods to guide clinical decision-making. This study evaluates the diagnostic utility of three-dimensional (3D) shoulder sonography in identifying rotator cuff injury and tear patterns.

Methods: A comprehensive search across seven electronic databases, which included Cochrane Library, Embase, PubMed, Cochrane Library, China Biology Medicine (CBM) database, CNKI, Wanfang, and VIP database.

Can Regulatory Fit Improve Elementary School Students' Performance? Effects of Different Types of Regulatory Fit.

Previous studies have demonstrated the effect of regulatory fit on Japanese elementary school students (aged 9-12 years). The hypotheses were that promotion focused students tend to show good performance related to speed when they use an eager manner; on the other hand, prevention focused students tend to show good performance related to accuracy when they use a vigilant manner. In Study 1, the class teacher assessed their student's regulatory focus and then manipulated the students' manner of solving a calculation task by asking the students to engage speedily so that they solve many tasks in eager manner condition, or accurately so that they can avoid making errors in the vigilant manner condition.

DUSP11 Attenuates Lipopolysaccharide-Induced Macrophage Activation by Targeting TAK1.

Dual-specificity phosphatase 11 (DUSP11, also named as PIR1) is a member of the atypical DUSP protein tyrosine phosphatase family. DUSP11 is only known to be an RNA phosphatase that regulates noncoding RNA stability. To date, the role of DUSP11 in immune cell signaling and immune responses remains unknown.