血栓通联合前列地尔治疗55例下肢动脉硬化闭塞症患者的疗效观察

目的:探讨血栓通联合前列地尔治疗下肢动脉硬化闭塞症的疗效。方法:将110例下肢动脉硬化闭塞症患者按入院时间分为对照组和观察组各55例,对照组行前列地尔治疗,观察组在此基础上给予血栓通治疗,比对2组治疗前后踝肱指数(ABI)和趾肱指数(TBI)指数、血流动力学指标、不良反应发生率,以及治疗有效率。结果:治疗后,观察组治疗有效率、ABI和TBI指数均高于对照组;血流动力学指标、不良反应发生率均低于对照组(均P<0.05)。结论:采用血栓通联合前列地尔治疗下肢动脉硬化闭塞症,疗效确切,可有效改善患者血流动力学指标,提高患者生活质量。

热处理前后镁基复合材料力学性能和热传导性能的模拟研究

当前,环境污染和能耗问题严重影响着人们的生活,本文从汽车轻量化领域进行研究,利用ANSYS Workbench软件模拟了一种用重力渗透法制备的、以氧化铝空心微珠作为增强相的新型AZ31B镁基复合材料,利用有限元分析法研究了不同直径、不同体积分数的微珠和热处理前后的镁基复合材料的力学性能和热传导性能。模拟结果得到直径为3.6mm、体积分数为40%的空心微珠,经过固溶强化热处理工艺后的镁基复合材料力学性能和热传导性能综合最佳。

大学校园公交的乘客特征分析及优化配车方案

以四川大学锦城学院校园公交车优化配置方案为研究目标,对校园公交运行的实际情况,对校园乘客的特征进行全方位调研分析,并将目标数字化,利用NW小世界网络模型分析、Matlab程序算法,提出了校园公交优化配车方案、校园公交系统规划和建议,让校园乘客出行更方便、更安全、更舒适.

Vehicle-following system based on deep reinforcement learning in marine scene

In order to solve the problems that the feature data type are not rich enough in the data collection process about the vehicle-following task in marine scene which results in a long model convergence time and high training difficulty,a two-stage vehicle-following system was proposed.Firstly,semantic segmentation model predicts the number of pixels of the followed target,then the number of pixels of the followed target is mapped to the position feature.Secondly,deep reinforcement learning algorithm enables the control equipment to make decision action,to ensure that two moving objects remain within the safe distance.The experimental results show that the two-stage vehicle-following system has a 40%faster convergence rate than the model without position feature,and the following stability is significantly improved by adding the position feature.