Differentiable self-supervised clustering with intrinsic interpretability.

Self-supervised clustering has garnered widespread attention due to its ability to discover latent clustering structures without the need for external labels. However, most existing approaches on self-supervised clustering lack of inherent interpretability in the data clustering process. In this paper, we propose a differentiable self-supervised clustering method with intrinsic interpretability (DSC2I), which provides an interpretable data clustering mechanism by reformulating clustering process based on differentiable programming.

Preparation of reed fibers reinforced graft-modified starch-based adhesives based on quantum mechanical simulation and molecular dynamics simulation.

Starch is a biomass polymer material with a high yield and comprehensive source. It is used as a raw material for preparing adhesives because of its highly active hydroxyl group. However, poor adhesion and water resistance hinder the application of starch-based adhesives (SBAs).

Successful treatment of giant mesenteric fibromatosis with surgery and tamoxifen: case report.

A 65-year-old man underwent excision of a giant mesenteric fibromatosis (MF) via combined splenectomy and partial transverse colectomy. Pathological examination confirmed the presence of MF, whereas genetic testing indicated that the tumor was sensitive to tamoxifen. Over a 1-year follow-up, no symptoms of abdominal discomfort or recurrence was noted.