The high penetration of renewable energy sources has posed significant operational challenges to modern distribution networks. Dynamic network reconfiguration, as a critical optimization technique, ...

2026 promises to be a pivotal year across four key technologies in the mobile core — AI, edge access, disaster protection, and non-terrestrial networks When T-Mobile US launched the world’s first ...

A substantial proportion of cochlear implant (CI) users—nearly 30%—derive limited benefit from the device, and the neural factors underlying this variability remain poorly understood. This study ...

When a natural disaster strikes, first responder managers face a flood of data — from drones, sensors, cameras, satellites, police, firefighters, and citizens — that must be sorted, secured, and ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. a The success of this transition hinges on precise control over ...

Cross-sectional network analysis was employed to explore the complex relationships between depression, anxiety, insomnia, somatic symptoms, childhood trauma, self-esteem, social support, and emotional ...

Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois 60637, United States James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States ...

Abstract: This study proposes a Dynamic Bayesian Network (DBN)-based model for evaluating the reliability of optical networks, effectively quantifying the state changes and reliability of optical ...

I have a real world project in the following scenario: I have a predefined network skeleton in DAG format. Our dataset has 1654 nodes, 2965 edges. I also have a dataset with shape (3000, 1654). Among ...