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Background: Salvianolate, a common drug for stabilizing heart disease and Angina Pectoris, is considered to be off-label for preventing venous thromboembolism (VTE) or anticoagulation at present. However, many clinical studies have showed that salvianolate can effectively inhibit the deep-vein thrombosis (DVT) incidence, and prevent VTE of perioperative patients in the real world in China. Objective: This analysis aimed to evaluate the effectiveness and safety of salvianolate in preventing VTE in perioperative patients. Methods: Databases of PubMed, Cochrane Library, Embase, CNKI, Wanfang and VIP were searched until July 2019. Literature retrieval, data extraction and quality assessment were independently completed by two researchers and checked with each other. Review Manager 5.2 software was applied for meta-analysis. Results: A total of 429 studies were retrieved, including 11 randomized controlled trials (RCTs) with a total of 1149 subjects. Compared with low molecular weight heparin (LMWH) group alone, salvianolate combined LMWH group had lower DVT incidence in preventing perioperative thrombosis (2.75% and 14.23%, OR: 0.21, 95% CI:[0.08,0.53]; P = .0009). The incidence of adverse reactions of experimental group was similar to that of control group (1.79% and 2.31%, OR: 0.65, 95% CI:[0.18,2.35]. P = .51). Compared with the control group, D-dimer level (D-D), platelet count (PLT), fibrinogen (FIB), whole blood high shear viscosity (WBHSV), and whole blood low shear viscosity (WBLSV) were all significantly decreased (P

The distributed drive electric vehicle is a complex hybrid system including discrete events and continuous events. In order to coordinate the longitudinal and lateral motion of the distributed drive electric vehicle, a hierarchical control method was proposed. In the upper layer, the body attitude tracking controller based on sliding mode control algorithm was established to accurately analyze the driving expectation and to track the longitudinal speed, the lateral speed, and the yaw rate of the vehicle. In the lower layer, the switching controller based on the hybrid theory was established to improve the driving stability under various working conditions. The switching controller can switch between control strategies according to the working conditions. The joint simulation was carried out under various working conditions using Simulink and CarSim software. The results showed that the controller can coordinate the longitudinal and lateral motion of the vehicle well in linear acceleration and sinusoidal acceleration conditions and can strictly track the driving expectation and maintain the desired body posture. And another, the controller can be switched according to the working conditions and control strategies accurately and smoothly and can ensure stable driving in the constant speed single lane change condition. The controller can reveal the continuous behavior characteristics of the vehicle and reflect the characteristics of discrete events by coordinating the longitudinal and lateral motion of the vehicle. It improves the stability and control performance of the distributed drive electric vehicle under various working conditions.