1Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland. 2The Ludwig Center for Cancer Genetics and Therapeutics, Baltimore, Maryland. 3The Sol ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular ...

Due to the lapse in federal government funding, NASA is not updating this website. The Life Detection Forum (LDF), rolled out to the community in 2021 and still active, is designed to organize ...

With the emergence of social networks, online platforms dedicated to different use cases, and sensor networks, the emergence of large-scale graph community detection has become a steady field of ...

A bottleneck to enabling widespread access to molecular diagnostics, especially in low- and middle-income countries, has been the high cost and complex logistics associated with rapid point-of-care ...

When scanning SBOM files with Trivy, many OS packages are missing from the output. This issue occurs when both in-graph OS packages (packages directly connected to the OS component in the dependency ...

Chinese universities are using AI-detection tools to screen student theses, sparking panic during graduation season. Students report false positives, leading some to “dumb down” their writing to pass ...

Introduction: To assess the performance of the GPT-4O model in determining the indications for emergency ultrasound and to explore its potential for optimizing medical resource allocation. Methods: ...

Abstract: The interference graph, depicting the intra- and inter-cell interference channel gains, is indispensable for resource allocation in multi-cell networks. However, there lacks viable methods ...