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Relaxing effect on radial arterial spasm in coronary artery bypass graft： A comparison among nitroglycenn, verapamil and paraverine

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中国组织工程研究与临床康复 2007年第34期11卷 6888-6892页

作者： Zhu Yan Wang Xiao-chen Li Xin＇min Depmtment of Science researchand training GeneratHospital of ShenyangMilitary AreaCommand of ChinesepLA Shenyang110016 LiaoningProvince China department ofscience researchand training GeneratHospital of ShenyangMilitary AreaCommand of ChinesepLA Shenyang110016 LiaoningProvince China department ofCardiosurgery FirstClinical College ChinaMedical UniversityShenyang 110001Liaoning ProvinceChina

BACKGROUND; As the bridge vessel, radial artery is easy to occur spasm and injury of endometrium, and the abnormal proliferation of endometrium, re-vasospasm, etc. appear at early period postoperatively, which can affect the operative ***: To compare the effects of nitroglycenn (NTG), verapamil (VP), paraverine (PA), and the mixture of NTG and VP on relaxing spasm of radial artery in human ***: A randomized controlled ***: department of Cardiosurgery, General Hospital of Shenyang Military Area Command of Chinese ***: Thirty patients who underwent coronary artery bypass graft (CABG) with autologous radial artery, were selected from the department of Cardiosurgery, General Hospital of Shenyang Military Area Command of Chinese PLA from September to November in 2006, including 18 males and 12 females, 48-74 years of age. Informed consents were obtained from all the patients or their relatives ***:① The samples of human radial artery in CABG were collected, and totally 95 vascular rings were used in this study. The rings were divided into five groups: NTG group, VP group, PA group, VP+NTG group and control *** two parts of the experiment, vasospasm relaxation test and vasospasm prevention test. The vascular rings in the control group were only immersed in the Krebs- Ringer solution without any drug. ② Drugs: NTG was purchased from Solo Pak Laboratories (Franklin Park, IL), PA from Eli Lilly & Co., (Indianapolis, IN), VP and others from Sigma (***, MO). ③ Thirty vascular rings were used in the vasospasm relaxation test, and the method of bath chamber was applied. Deoxyepinephrine (terminal concentration of 1 ×10~(-3) mol/L) was added to stimulate the contraction and spasm of the vascular rings, then four vasodilatators were added, the concentrations of VP and NTG were 30 μmol/L, and that of PA was 0.1%. Relaxation rate=(resting tension after stimulation-initial resting tension)/initial resting

关键词：动脉痉挛硝酸甘油维拉帕米罂栗碱作用比较缓解症状动脉旁路移植手术

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Nonlinear modeling of PEMFC based on neural networks identification

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2005年第5期6卷 365-370页

作者：孙涛曹广益朱新坚 Fuel Cell Institute Department of Automation Shanghai Jiaotong University Shanghai 200030 China

The proton exchange membrane generation technology is highly efficient and clean, and is considered as the most hopeful “green” power technology. The operating principles of proton exchange membrane fuel cell (PEMFC) system involve thermodynamics, electrochemistry, hydrodynamics and mass transfer theory, which comprise a complex nonlinear system, for which it is difficult to establish a mathematical model. This paper first simply analyzes the necessity of the PEMFC generation technology, then introduces the generating principle from four aspects: electrode, single cell, stack, system; and then uses the approach and self-study ability of artificial neural network to build the model of nonlinear system, and adapts the Leven- berg-Marquardt BP (LMBP) to build the electric characteristic model of PEMFC. The model uses experimental data as training specimens, on the condition the system is provided enough hydrogen. Considering the flow velocity of air (or oxygen) and the cell operational temperature as inputs, the cell voltage and current density as the outputs and establishing the electric characteristic model of PEMFC according to the different cell temperatures. The voltage-current output curves of model has some guidance effect for improving the cell performance, and provide basic data for optimizing cell performance that have practical significance.

关键词： Proton exchange membrane fuel cell Nonlinear system modeling LMBP algorithm

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Predicting oral disintegrating tablet formulations by neural network techniques

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Asian Journal of Pharmaceutical Sciences 2018年第4期13卷 336-342页

作者： Run Han Yilong Yang Xiaoshan Li Defang Ouyang State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences(ICMS)University of Macao State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences (ICMS)University of Macao department of Computer and Information Science Faculty of Science and TechnologyUniversity of Macao

Oral disintegrating tablets(ODTs) are a novel dosage form that can be dissolved on thetongue within 3 min or less especially for geriatric and pediatric patients. Current ODT for-mulation studies usually rely on the personal experience of pharmaceutical experts andtrial-and-error in the laboratory, which is inefficient and time-consuming. The aim of cur-rent research was to establish the prediction model of ODT formulations with direct com-pression process by artificial neural network(ANN) and deep neural network(DNN) tech-niques. 145 formulation data were extracted from Web of Science. All datasets were dividedinto three parts: training set(105 data), validation set(20) and testing set(20). ANN andDNN were compared for the prediction of the disintegrating time. The accuracy of the ANNmodel have reached 85.60%, 80.00% and 75.00% on the training set, validation set and testingset respectively, whereas that of the DNN model were 85.60%, 85.00% and 80.00%, respec-tively. Compared with the ANN, DNN showed the better prediction for ODT *** is the first time that deep neural network with the improved dataset selection algorithmis applied to formulation prediction on small data. The proposed predictive approach couldevaluate the critical parameters about quality control of formulation, and guide researchand process development. The implementation of this prediction model could effectivelyreduce drug product development timeline and material usage, and proactively facilitatethe development of a robust drug product.

关键词： Oral disintegrating tablets Formulation prediction Artificial neural network Deep neural network Deep-learning

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Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1752-1762页

作者： Xianglei Zhu Wen Hu Zejian Deng Jinwei Zhang Fengqing Hu Rui Zhou Keqiu Li Fei-Yue Wang the College of Intelligence and Computing Tianjin UniversityTianjin 300350 the China Automotive Technology and Research Center Co.Ltd. Tianjin 300300China the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China the department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooON N2L3G1Canada the School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China the Macao University of Science and Technology MacaoChina the Waytous Inc. Qingdao 266000China IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Accurately predicting the trajectories of surrounding vehicles and assessing the collision risks are essential to avoid side and rear-end collisions caused by *** improve the safety of autonomous vehicles in the mixed traffic,this study proposes a cut-in prediction and risk assessment method with considering the interactions of multiple traffic *** integration of the support vector machine and Gaussian mixture model(SVM-GMM)is developed to simultaneously predict cut-in behavior and *** dimension of the input features is reduced through Chebyshev fitting to improve the training efficiency as well as the online inference *** on the predicted trajectory of the cut-in vehicle and the responsive actions of the autonomous vehicles,two risk measurements are introduced to formulate the comprehensive interaction risk through the combination of Sigmoid function and Softmax ***,the comparative analysis is performed to validate the proposed method using the naturalistic driving *** results show that the proposed method can predict the trajectory with higher precision and effectively evaluate the risk level of a cut-in maneuver compared to the methods without considering interaction.

关键词： Cut-in behavior interaction-aware mixed traffic risk assessment trajectory prediction

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