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Predicting solutions of the Lotka-Volterra equation using hybrid deep network

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Theoretical & Applied Mechanics Letters 2022年第6期12卷 423-431页

作者： zi-Fei Lin Yan-ming liang Jia-Li Zhao Jiao-Rui Li School of Statistics Xi’an University of Finance and EconomicsXi’an 710100China China(Xi’an)Institute for Silk Road Research Xi’an 710100China

Prediction of Lotka-Volterra equations has always been a complex problem due to their dynamic *** this paper,we present an algorithm for predicting the Lotka-Volterra equation and investigate the prediction for both the original system and the system driven by *** demonstrates that deep learning can be applied in dynamics of *** is the first study that uses deep learning algorithms to predict Lotka-Volterra *** numerical examples are presented to illustrate the performances of the proposed algorithm,including Predator nonlinear breeding and prey competition systems,one prey and two predator competition systems,and their respective *** the results suggest that the proposed algorithm is feasible and effective for predicting Lotka-Volterra ***,the influence of the optimizer on the algorithm is discussed in *** results indicate that the performance of the machine learning technique can be improved by constructing the neural networks appropriately.

关键词： Lotka-Volterra equations HDN-LV algorithm Stochastic Lotka-Volterra equations Parameter optimization

Predicting solutions of the stochastic fractional order dynamical system using machine learning

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Theoretical & Applied Mechanics Letters 2023年第3期13卷 188-198页

作者： zi-Fei Lin Jia-Li Zhao Yan-ming liang Jiao-Rui Li School of Statistics Xi’an University of Finance and EconomicsXi’an 710100China Xi’an University of Finance and Economics China(Xi’an)Institute for Silk Road ResearchXi’an 710100China

The solution of fractional-order systems has been a complex problem for our *** methods like the predictor-corrector method and other solution steps are complicated and cumbersome to derive,which makes it more difficult for our solution *** development of machine learning and nonlinear dynamics has provided us with new ideas to solve some complex ***,this study considers how to improve the accuracy and efficiency of the solution based on traditional ***,we propose an efficient and accurate nonlinear auto-regressive neural network for the fractional order dynamic system prediction model(FODS-NAR).First,we demonstrate by example that the FODS-NAR algorithm can predict the solution of a stochastic fractional order ***,we compare the FODS-NAR algorithm with the famous and good reservoir computing(RC)*** find that FODS-NAR gives more accurate predictions than the traditional RC algorithm with the same system parameters,and the residuals of the FODS-NAR algorithm are closer to ***,we conclude that the FODS-NAR algorithm is a method with higher accuracy and prediction results closer to the state of fractional-order stochastic *** addition,we analyze the effects of the number of neurons and the order of delays in the FODS-NAR algorithm on the prediction results and derive a range of their optimal values.

关键词： Fractional-order dynamical system Gaussian white noise Deep learning FODS-NAR algorithm

Feature selection for chemical process fault diagnosis by artificial immune systems

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Chinese Journal of Chemical Engineering 2018年第8期26卷 1599-1604页

作者： liang ming Jinsong Zhao Department of Chemical Engineering Tsinghua University Beijing Key Laboratory of Industrial Big Data System and Application Tsinghua University

With the Industry 4.0 era coming, modern chemical plants will be gradually transformed into smart factories, which sets higher requirements for fault detection and diagnosis(FDD) to enhance operation safety intelligence. In a typical chemical process, there are hundreds of process variables. Feature selection is a key to the efficiency and effectiveness of FDD. Even though artificial immune system has advantages in adaptation and independency on a large number of fault samples, antibody library construction used to be based on experience. It is not only time consuming, but also lack of scientific foundation in fault feature selection, which may deteriorate the FDD performance of the AIS. In this paper, a fault antibody feature selection optimization(FAFSO) algorithm is proposed based on genetic algorithm to optimize the fault antibody features and the antibody libraries' thresholds simultaneously. The performance of the proposed FAFSO algorithms is illustrated through the Tennessee Eastman benchmark problem.

关键词： Artificial immune system Genetic algorithm Feature selection

Portable Dynamic Positioning Control System on A Barge in Short-Crested Waves Using the Neural Network Algorithm

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China Ocean Engineering 2013年第4期27卷 469-480页

作者： FANG ming-chung LEE zi-yi Department of Systems and Naval Mechatronic Engineering National Cheng Kung University

This paper develops a nonlinear mathematical model to simulate the dynamic motion behavior of the barge equipped with the portable outboard Dynamic Positioning （DP） system in short-crested waves. The self-tuning Proportional- Derivative （PD） controller based on the neural network algorithm is applied to control the thrusters for optimal adjustment of the barge position in waves. In addition to the wave, the current, the wind and the nonlinear drift force are also considered in the calculations. The time domain simulations for the six-degree-of-freedom motions of the barge with the DP system are solved by the 4th order Runge-Kutta method which can compromise the efficiency and the accuracy of the simulations. The technique of the portable alternative DP system developed here can serve as a practical tool to assist those ships without being equipped with the DP facility while the dynamic positioning missions are needed.

关键词： neural network PD controller dynamic positioning short-crested wave

Flood management of Dongting Lake after operation of Three Gorges Dam

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Water Science and Engineering 2017年第4期10卷 303-310页

作者： Xi-jun Lai zi-ming Wang Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography&LimnologyChinese Academy of Sciences(CAS)Nanjing 210008China Zhejiang Institute of Hydraulics and Estuary Hangzhou 310020Chin

Full operation of the Three Gorges Dam(TGD) reduces flood risk of the middle and lower parts of the Yangtze River Basin. However,Dongting Lake, which is located in the Yangtze River Basin, is still at high risk for potentially severe flooding in the future. The effects of the TGD on flood processes were investigated using a hydrodynamic model. The 1998 and 2010 flood events before and after the operation of the TGD, respectively, were analyzed. The numerical results show that the operation of the TGD changes flood processes, including the timing and magnitude of flood peaks in Dongting Lake. The TGD can effectively reduce the flood level in Dongting Lake, which is mainly caused by the flood water from the upper reach of the Yangtze River. This is not the case, however, for floods mainly induced by flood water from four main rivers in the catchment. In view of this, a comprehensive strategy for flood management in Dongting Lake is required. Non-engineering measures, such as warning systems and combined operation of the TGD and other reservoirs in the catchment, as well as traditional engineering measures, should be further improved. Meanwhile, a sustainable philosophy for flood control, including natural flood management and lake restoration, is recommended to reduce the flood risk.

关键词： Three Gorges Dam Flood control Water level Hydrodynamic model Dongting Lake

Radix Sanguisorbae Improves Intestinal Barrier in Septic Rats via HIF-1α/HO-1/Fe^(2+)Axis

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Chinese Journal of Integrative Medicine 2024年第12期30卷 1101-1112页

作者： LIU Yi-yan BAO Dai-qin ZHANG zi-sen ZHU Yu LIU liang-ming LI Tao State Key Laboratory of Trauma Burns and Combined InjuriesDepartment of War Wound Shock and TransfusionInstitute of Surgery ResearchChongqing 400042China Department of Anesthesiology Army Medical Center of PLAChongqing 400042China

Objective:To investigate whether Radix Sanguisorbae(RS,Diyu)could restore intestinal barrier function following sepsis using a cecal ligation and puncture(CLP)-induced septic rat model and lipopolysaccharide(LPS)-challenged IEC-6 cell model,***:Totally 224 rats were divided into4 groups including a control,sham,CLP and RS group according to a random number *** rats in the control group were administrated with Ringer's lactate solution(30 mL/kg)with additional dopamine[10μg/(kg·min)]and given intramuscular injections of cefuroxime sodium(10 mg/kg)12 h following *** rats in the RS group were administrated with RS(10 mg/kg)through tail vein 1 h before CLP and treated with RS(10 mg/kg)12 h following *** rats in the sham group were only performed abdominal surgery without *** rats in the CLP group were performed with CLP without any *** other steps were same as control *** effects of RS on intestinal barrier function,mesenteric microvessels barrier function,multi-organ function indicators,inflammatory response and 72 h survival window following sepsis were *** vitro,the effects of RS on LPS-challenged IEC-6 cell viability,the expressions of zona occludens-1(ZO-1)and ferroptosis index were evaluated by cell counting kit-8,immunofluorescence and Western blot *** tools were applied to investigate the pharmacological network of RS in sepsis to predict the active compounds and potential protein targets and ***:The sepsis caused severe intestinal barrier dysfunction,multi-organ injury,lipid peroxidation accumulation,and ferroptosis in *** treatment significantly prolonged the survival time to 56 h and increased 72-h survival rate to 7/16(43.75%).RS also improved intestinal barrier function and relieved intestinal ***,RS significantly decreased lipid peroxidation and inhibited ferroptosis(P<0.05 or P<0.01).Administration of RS significantly worked better than Ringer'

关键词： Radix Sanguisorbae sepsis ferroptosis intestinal barrier function network pharmacology Chinesemedicine

Relationship between expression of EGFR in gastric cancer tissue and clinicopathological features

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Asian Pacific Journal of Tropical Medicine 2013年第4期6卷 260-264页

作者： ming Gao Xiu-Ju liang zi-Sen Zhang Wang Ma Zhi-Wei Chang ming-Zhi Zhang Oncology Department First Affiliated Hospital of Zhengzhou University Oncology Department General Hospital of Jinan Military Command Department of Medical Oncology Fifth Affiliated Hospital of Zhengzhou University

Objective:To investigate the relationship between the expression of epidermal growth factor receptor(ECFR) in gastric cancer and the clinicopalhological features and prognosis. Methods:A total of 78 paraffin specimens of gastric cancer operation were *** immunohistochemical method was used to detect the expression of ECFR in 78 cases of gastric cancer and 20 cases of adjacent normal *** relationship between the high expression of ECFR and clinicopathological features was ***:ECFR positive expression rate in the 78 cases of gastric cancer tissue was 57.7%(43/78),while ECFR was not expressed in 20 cases of adjacent normal *** high ECFR expression was positively correlated with the position of gastric cancer,tumor size,cell differentiation,invasive depth,lymph node metastasis and TNM staging,yet having no obvious relation with gender or ***:ECFR expression level in gastric cancer is closely related to the incidence and development of gastric cancer,which can provide a theoretical basis for the targeted therapy for gastric cancer with ECFR as the target.

关键词： Gastric cancer EGFR Targeted therapy Clinicopathological features

Effects of Ca^(2+) channel blockers on store-operated Ca^(2+) channel currents of Kupffer cells after hepatic ischemia/reperfusion injury in rats

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World Journal of Gastroenterology 2006年第29期12卷 4694-4698页

作者： Nan Jiang Zong-ming Zhang liang Liu Chi Zhang Yan-Lu Zhang zi-Chao Zhang Department of General Surgery Digestive Medical Center First Affiliated Hospital of TsinghuaUniversity Beijing 100016 China Department of 1st General Surgery of Tongji Hospital Tongji University Shanghai 200065 China

AIM： To study the effects of hepatic ischemia/ reperfusion （I/R） injury on store-operated calcium channel （SOC） currents （Isoc） in freshly isolated rat Kupffer cells, and the effects of Ca^2＋ channel blockers, 2-aminoethoxydiphenyl borate （2-APB）, SK＆F96365, econazole and miconazole, on Isoc in isolated rat Kupffer cells after hepatic I/R injury.METHODS： The model of rat hepatic I/R injury was established. Whole-cell patch-clamp techniques were performed to investigate the effects of 2-APB, SK＆F96365, econazole and miconazole on Isoc in isolated rat Kupffer cells after hepatic I/R injury.RESULTS： I/R injury significantly increased Isoc from -80.4±25.2pA to -159.5±34.5pA （^bp 〈 0.01, n = 30）. 2-APB （20, 40, 60, 80, 100 pmol/L）, SK＆F96365 （5, 10, 20, 40, 50 pmol/L）, econazole （0.1, 0.3, 1, 3, 10 μmol/L） and miconazole （0.1, 0.3, 1, 3, 10 μmol/L） inhibited Isoc in a concentration-dependent manner with IC50 of 37.41 μmol/L （n = 8）, 5.89 μmol/L （n = 11）, 0.21 μmol/L （n = 13）, and 0.28 μmol/L （n = 10）. The peak value of Isoc in the I-V relationship was decreased by the blockers in different concentrations, but the reverse potential of Isoc was not transformed. CONCLUSION： SOC is the main channel for the influx of Ca^2＋ during hepatic I/R injuries. Calcium channel blockers, 2-APB, SK＆F96365, econazole and miconazole,have obviously protective effects on I/R injury, probably by inhibiting Isoc in Kupffer cells and preventing the activation of Kupffer cells.

关键词： Kupffer cell Ischemia/reperfusion Storeoperated calcium channel currents 2-aminoethoxydiphenylborate SK&F96365 Econazole Miconazole

Ultrasonic Nebulization Extraction Coupled with Gas Chromatography-Mass Spectrometry for Analysis of Volatile Components in Traditional Chinese Patent Medicine

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Chemical Research in Chinese Universities 2011年第2期27卷 203-207页

作者： liang Yue WANG Lu WANG zi-ming YU Cui ZHANG Han-qi SHI Yu-hua College of Chemistry Jilin University Changchun 130012 P. R. China

The ultrasonic nebulization extraction（UNE） was developed and applied to the extraction of volatile components from traditional Chinese patent medicine Xiaoyao Pills. Several parameters of ultrasonic nebulization extraction including the sample particle size, solvent volume, extraction time and ultrasonic power were studied and selected. As a result, 2.4 g of sample with particle size of 80 mesh was extracted with 15 mL of n-hexane for 20 min at an ultrasonic power of 35 W. The volatile components were analyzed by gas chromatography-mass spectrometry （GC-MS） under the optimal conditions and 57 compounds were identified. The precision, repeatability and stability of the proposed method were also studied. Compared with ultrasonic-assisted extraction（UAE） and hydrodistillation（HD） extraction, the proposed method is more efficient, faster and easier to be operated at room temperature with smaller sample and energy consumption. It is suggested that the ultrasonic nebulization extraction can be used as a novel alternative method for the extraction of volatile components from traditional Chinese patent medicine.

关键词： Ultrasonic nebulization extraction Gas chromatography-mass spectrometry Volatile component Traditional Chinese patent medicine