In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

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 ...

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify clinical subgroups of SLE patients using cluster analysis at diagnosis and at ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...