补骨脂酚启动自噬减轻β-GP诱导的小鼠主动脉中膜钙化

目的：在选定的36种中药单体中筛选能够启动细胞自噬的药物；探究补骨脂酚对小鼠血管平滑肌细胞自噬的影响以及对血管平滑肌细胞钙化的影响。方法：从中草药中提取的黄酮类化合物以不同浓度处理人脑胶质瘤细胞(human glioma cells,U87)72 h，用MTT法得到药物对U87细胞的半抑制浓度(half maximal inhibitory concentration,IC₅₀)，并以小于IC₅₀浓度的条件下以不同浓度梯度处理U87细胞，观察U87细胞GFP-LC3(微管相关蛋白1轻链3(Microtubule-associated protein light chain 3,LC3)的荧光信号和Western blot检测自噬指标LC3从而观察细胞自噬活动激活情况，以筛选出能够启动自噬的药物。后续选取补骨脂酚进行进一步实验，探究药物启动自噬后对血管平滑肌细胞钙化的影响。使用β-GP构建小鼠血管平滑肌细胞(vascular smooth muscle cells,VSMCs)钙化模型，分为对照组(C-CTR组)和钙化组(C-CAL组)，并通过...

A data-driven dynamic time series classification algorithm

Aiming at the problems of data redundancy and difficulty in capturing dynamic information in IoT time series data, this paper proposes a data-driven dynamic time series classification algorithm. The dynamic information in the time series collected by sensing devices is extracted by DiPCA (dynamic internal principal component analysis) to realize the role of dimensionality reduction and refining dynamic information; the parameters of the classification algorithm are optimized by using the sparrow search algorithm to enhance the performance of the SVM algorithm and make it model the temporal features containing shapelet local features, which finally constitutes a two-way evolutionary algorithm framework to realize the temporal classification function. The performance of the algorithm is examined using UCR temporal data set and edge computing simulation data, and the results show that the comprehensive performance of the algorithm is significantly improved compared with the basic algorithm, and the effectiveness and superiority of the classification function of the algorithm in the simulation environment is verified.