This important study provides a detailed analysis of the transcriptional landscape of the mouse hippocampus in the context of various physiological states. The main conclusions have solid support: ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

Seitz, E.E., McCandlish, D.M., Kinney, J.B., and Koo P.K. Uncovering the Mechanistic Landscape of Regulatory DNA with Deep Learning. bioRxiv, October 8, 2025. https ...

Abstract: Fuzzy clusters, where ambiguous samples belong to multiple clusters, are common in real-world applications. Analyzing such ambiguous samples in large-scale datasets is crucial for practical ...

Abstract: Multi-view clustering is effective at uncovering the latent structures within different views or modalities. However, existing approaches often oversimplify the problem by treating the ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

This article presents a hybrid method of automatic classification of latent traumatic states adapted to the analysis of social resilience processes. Our approach combines the Hierarchical Ascending ...

The renewed interest among managers and management researchers in stakeholder governance has also underscored the shortage of quantitative methods available for studying business firms as political ...

Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods ...