New Centroid-Based Algorithm Improves Community Detection in Complex Networks
A degree–distance centroid method enhances community detection in complex networks by balancing node degree and shortest-path distances.
A degree–distance centroid method enhances community detection in complex networks by balancing node degree and shortest-path distances.
A comprehensive narrative review reveals how persistent viral components, immune dysregulation, endothelial injury, and autonomic nervous system dysfunction drive the ...
Researchers identified a DDX3X-METTL3 molecular axis that promotes glioma progression by altering the tumor immune microenvironment and macrophage infiltration.
Published in Smart Agricultural Technology, the study introduces DALF-YOLO, a computer vision framework designed to address the significant challenges posed ...
Entomological surveys across Vietnam have identified four new plant bug species alongside five new genus records within the diverse Lygus ...
Researchers reported a rare case of primary gastric alveolar soft part sarcoma (ASPS) in a 45-year-old female patient, characterized by ...
A novel dinuclear gold(III) complex bridged by 1,5-naphthyridine exhibits stable physiological buffer solubility, selective in vitro cytotoxicity against colorectal and ...
Cryo-electron microscopy structures of the cyanobacterial ChlG2HliD2 complex uncover how chlorophyll synthase coordinates substrate entry, catalysis, and photoprotective pigment binding ...
Researchers have developed a stable Chrysanthemum morifolium phytophosphatidyl complex that achieves 98 percent drug entrapment and exhibits superior in vitro ...
A process evaluation of the German MundZaRR trial found that staffing shortages and resident-related challenges led to substantial inconsistencies when ...
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© 2026 Scienmag - Science Magazine