Method for reconstructing safety and arming motion process by integrating Kalman filter and KCF.

This paper addresses the challenge of reconstructing the motion process of the safety and arming (S&A) mechanism in fuze by transforming the problem into a target detection and tracking problem. A novel tracking method, which fuses an improved Kalman filter with a temporal scale-adaptive KCF (AKF-CF), is proposed. The methodology introduces key innovations: (1) Extraction of grayscale images and directional gradient histogram (HOG) features of the target, followed by the use of an Adaptive Wave PCA-Autoencoder (AWPA) method to accurately capture multi-modal and multi-scale features of the target; (2) Application of bilinear interpolation and hybrid filtering techniques to generate a spatial and temporal scale-adaptive bounding box for the filtered target, enabling dynamic adjustment of the tracking box size; (3) Integration of an occlusion-aware mechanism using average peak correlation energy (APCE) to trigger Kalman-based position prediction when the target is occluded, thus mitigating tracking drift.

Novel matrinic acid derivatives bearing 2-anilinothiazole structure for non-small cell lung cancer treatment with improved Hsp90 targeting effect.

Involved in mediating the folding and maturation of more than 300 client proteins, many of which are oncoproteins, Hsp90 has emerged as a promising drug target for cancer therapy. In particular, inhibiting Hsp90 plays a vital role in the treatment of non-small cell lung cancer. Owing to undesirable outcomes of Hsp90 inhibitors in clinical trials, a series of matrinic acid compounds bearing 2-anilinothiazole moiety were designed based on the structural features allocation shared among Hsp90 inhibitors within the ATP-binding pocket.