Anomaly detection in time series data is fundamental to the design, deployment, and evaluation of industrial control systems.

MMSite is a two-stage ("First Align, Then Fuse") Understanding these sites is essential for elucidating enzyme mechanisms, designing inhibitors, and developing novel drugs. MNER, high-quality datasets for multi-modal active sites identification are less abundant.

Surprisingly, the analysis is short and elegant.