Background: Coronary heart disease (CHD) is a clinical syndrome caused by coronary atherosclerosis (AS) or functional changes in coronary arteries. We have previously reported that astragaloside IV (in astragalus) and tanshinone IIA (in Salvia miltiorrhiza) improve myocardial ischemic injury. Methods: This study will employ the randomized, blinded, prospective, single-center experiments approach. Briefly, a total of 160 eligible patients will be equally randomized into three treatment groups and placebo control groups. Patients will receive appropriate treatments every 24 h for seven days after enrollment and followed up for 28 days. The main evaluation indicators will be cell count, serum high-sensitivity C-reactive protein (hs-CRP) level, monocyte chemoattractant protein 1 (MCP-1), interleukin-6 (IL-6), interleukin-1β (IL-1β), interleukin-8 (IL-8), interleukin-18 (IL-18), interleukin-10 (IL-10), tumor necrosis factor (TNF)-α, oxidized low density lipoprotein (OX-LDL), angina grade, and Traditional Chinese Medicine (TCM) symptom changes scale. Secondary indicators to be evaluated will include B-type natriuretic peptide (BNP) levels, troponin (cTn), muscle enzyme isoenzyme (CK-MB), heart-type fatty acid binding protein (H-FABP), liver and renal functions, as well as blood coagulation. Close monitoring of adverse events during the trial will also be conducted.Discussion: This randomized controlled trial of Chinese herbal extracts for the treatment of coronary heart disease will generate results that are expected to provide valuable clinical evidence to inform future development of therapies towards management of CHD.
The servo system in steam turbine digital electric-hydraulic control system (DEH) is affected by nonlinear factors when it is working. To accurately simulate dynamic characteristics of the DEH, a new nonlinear servo system is proposed, which has limit, dead zone and correction coefficient caused by unknown factors. The model parameters are divided into linear parameters and nonlinear parameters to be identified, respectively. Neural networks are used to identify linear parameters. The nonlinear parameters should be identified according to flow characteristic curve. To verify the validity of the proposed model and parameter identification method, the actual data of primary frequency control from a 1000 MW Ultra Supercritical Unit is adopted. Meanwhile, the linear model with no nonlinear factors is used for comparison. Where the fitting degree of valve opening is 98.445% and power is 96.986%, the output of nonlinear model coincides with actual output well. Where the relative error of stable result is 5% of valve opening and 1.58% of power, the error of linear model is larger. The simulation results of the proposed method show that the nonlinear factors of high-power units cannot be ignored and the nonlinear model of servo system is more accurate.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.