Probiotics for treatment of nonalcoholic fatty liver disease: It is worth a try

( Tian-yi Ren ),( Xiao-yan Li ),( Jian-gao Fan ) 대한간학회 2021 Clinical and Molecular Hepatology(대한간학회지) Vol.27 No.1

Research Articles : Off-Road Machinery System Engineering ; Road-friendliness of Fuzzy Hybrid Control Strategy Based on Hardware-in-the-Loop Simulations

( Tian Yi Yan ),( Qiang Li ),( Kun Ru Ren ),( Yu Lin Wang ),( Lu Zou Zhang ) 한국농업기계학회 2012 바이오시스템공학 Vol.37 No.3

Purpose: In order to improve road-friendliness of heavy vehicles, a fuzzy hybrid control strategy consisting of a hybrid control strategy and a fuzzy logic control module is proposed. The performance of the proposed strategy should be effectively evaluated using a hardware-in-the-loop (HIL) simulation model of a semi-active suspension system based on the fuzzy hybrid control strategy prior to real vehicle implementations. Methods: A hardware-in-the-loop (HIL) simulation system was synthesized by utilizing a self-developed electronic control unit (ECU), a PCI-1711 multi-functional data acquisition board as well as the previously developed quarter-car simulation model. Road-friendliness of a semi-active suspension system controlled by the proposed control strategy was simulated via the HIL system using Dynamic Load Coefficient (DLC) and Dynamic Load Stress Factor (DLSF) criteria. Results: Compared to a passive suspension, a semi-active suspension system based on the fuzzy hybrid control strategy reduced the DLC and DLSF values. Conclusions: The proposed control strategy of semi-active suspension systems can be employed to improve road-friendliness of road vehicles.

Exploring the Key Genes and Pathways of Osteoarthritis in Knee Cartilage in a Rat Model Using Gene Expression Profiling

Yi-Ming Ren,Xin Zhao,Tao Yang,Yuan-Hui Duan,Yun-Bo Sun,Wen-Jun Zhao,Meng-Qiang Tian 연세대학교의과대학 2018 Yonsei medical journal Vol.59 No.6

Purpose: To compare differentially expressed genes (DEGs) mediating osteoarthritis (OA) in knee cartilage and in normal kneecartilage in a rat model of OA and to identify their impact on molecular pathways associated with OA. Materials and Methods: A gene expression profile was downloaded from the Gene Expression Omnibus database. Analysis ofDEGs was carried out using GEO2R. Enrichment analyses were performed on the Gene Ontology (GO) and Kyoto Encyclopedia ofGenes and Genomes pathway using the Search Tool for the Retrieval of Interacting Genes database (http://www.string-db.org/). Subsequently, the regulatory interaction network of OA-associated genes was visualized using Cytoscape software (version 3.4.0;www.cytoscape.org). Results: In the gene expression profile GSE103416, a total of 99 DEGs were identified. Among them, 76 DEGs (76.77%) were overexpressed,and the remaining 23 DEGs (23.23%) were underexpressed. GO and pathway enrichment analyses of target geneswere performed. Using gene-gene interaction network analysis, relevant core genes, including MET, UBB, GNAI3, and GNA13,were shown to hold a potential relationship with the development of OA in cartilage. Using quantitative real-time PCR, the Gna13/cGMP-PKG signaling pathway was identified as a potential research target for therapy and for further understanding the developmentof OA. Conclusion: The results of the present study provide a comprehensive understanding of the roles of DEGs in knee cartilage in relationto the development of OA.

Research on a Multi-Objective Control Strategy for Current-source PWM Rectifiers under Unbalanced and Harmonic Grid Voltage Conditions

Yi-Wen Geng,Hai-Wei Liu,Ren-Xiong Deng,Fang-Fang Tian,Hao-Feng Bai,Kai Wang 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.1

Unbalanced and distorted grid voltages cause the grid side current of a current source PWM rectifier to be heavily distorted. They can also cause the DC-link current to fluctuate with a huge amplitude. In order to enhance the performance of a current-source PWM rectifier under unbalanced and harmonic grid voltage conditions, a mathematical model of a current-source PWM rectifier is established and a flexible multi-objective control strategy is proposed to control the DC-link current and grid-current. The fundamental positive/negative sequence, 5th and 7th order harmonic components of the grid voltage are first separated with the proposed control strategy. The grid current reference are optimized based on three objectives: 1) sinusoidal and symmetrical grid current, 2) sinusoidal grid current and elimination of the DC-current 2nd order fluctuations, and 3) elimination of the DC-current 2nd and 6th order fluctuations. To avoid separation of the grid current components, a multi-frequency proportional-resonant controller is applied to control the fundamental positive/negative sequence, 5th and 7th order harmonic current. Finally, experimental results verify the effectiveness of proposed control strategy.

Short-term Wind Power Prediction Based on Empirical Mode Decomposition and Improved Extreme Learning Machine

Tian, Zhongda,Ren, Yi,Wang, Gang The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.5

For the safe and stable operation of the power system, accurate wind power prediction is of great significance. A wind power prediction method based on empirical mode decomposition and improved extreme learning machine is proposed in this paper. Firstly, wind power time series is decomposed into several components with different frequency by empirical mode decomposition, which can reduce the non-stationary of time series. The components after decomposing remove the long correlation and promote the different local characteristics of original wind power time series. Secondly, an improved extreme learning machine prediction model is introduced to overcome the sample data updating disadvantages of standard extreme learning machine. Different improved extreme learning machine prediction model of each component is established. Finally, the prediction value of each component is superimposed to obtain the final result. Compared with other prediction models, the simulation results demonstrate that the proposed prediction method has better prediction accuracy for wind power.

Establishment of a novel myocarditis mouse model based on cyclosporine A

Zhao Tian Hao,Jiang Yi Xuan,Chen Kai Qin,Qiu Dan,Xu Yan Zhe,Ye Chun,Ren Ting,Zhang Bo,Dai Bin,Hu Jue,Lu Jun,Zhou Fang Liang,Xiao Rong,Lu Fang Guo,Wei Ke 한국유전학회 2022 Genes & Genomics Vol.44 No.12

Background: Myocarditis is a myocardial injury that can easily cause adolescent death. Traditional research models of animal invasion with viral components, lipopolysaccharide (LPS) or porcine myocardial myosin, among others, have the shortcomings of potential biological safety hazards and high animal mortality. Objective: To explore the construction of a novel myocarditis model with cyclosporine A and the potential genes and pathways associated with it. Methods: BALB/c mice were used in this study, and cyclosporin A and LPS were injected into the peritoneal cavity of mice. The successful establishment of the model was assessed by detecting serum myocardial injury markers and inflammatory factors levels, HE, IHC staining, and RT-qPCR methods. Key genes were obtained using the GSE35182 dataset from the GEO database and validated with the RT-qPCR method. Results: We found that a large number of inflammatory cells infiltrated the myocardium of mice in each group of Cyclosporin A constructed model, while the expression of inflammatory factor indicators was increased, and this model has the characteristics of high degree of local inflammation in myocardial tissue, low mortality, and safe and non-toxic treatment. Using GSE35182 data, we selected 18 Hub genes and validated Hub genes in myocardial tissue with RT-qPCR and found that multiple signaling pathways such as Toll-likereceptor signaling pathway(TLRs), Rap1 signal pathway(Rap1), and Chemokine signaling pathway may be involved in the development of myocarditis. Conclusion: Cyclosporin A can construct a new myocarditis model, and TLRs, Chemokines and Rap1 signaling pathways may be the core pathways of myocarditis.

Research on a Multi-Objective Control Strategy for Current-source PWM Rectifiers under Unbalanced and Harmonic Grid Voltage Conditions

Geng, Yi-Wen,Liu, Hai-Wei,Deng, Ren-Xiong,Tian, Fang-Fang,Bai, Hao-Feng,Wang, Kai The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.1

Unbalanced and distorted grid voltages cause the grid side current of a current source PWM rectifier to be heavily distorted. They can also cause the DC-link current to fluctuate with a huge amplitude. In order to enhance the performance of a current-source PWM rectifier under unbalanced and harmonic grid voltage conditions, a mathematical model of a current-source PWM rectifier is established and a flexible multi-objective control strategy is proposed to control the DC-link current and grid-current. The fundamental positive/negative sequence, $5^{th}$ and $7^{th}$ order harmonic components of the grid voltage are first separated with the proposed control strategy. The grid current reference are optimized based on three objectives: 1) sinusoidal and symmetrical grid current, 2) sinusoidal grid current and elimination of the DC-current $2^{nd}$ order fluctuations, and 3) elimination of the DC-current $2^{nd}$ and $6^{th}$ order fluctuations. To avoid separation of the grid current components, a multi-frequency proportional-resonant controller is applied to control the fundamental positive/negative sequence, $5^{th}$ and $7^{th}$ order harmonic current. Finally, experimental results verify the effectiveness of proposed control strategy.

Short-term Wind Power Prediction Based on Empirical Mode Decomposition and Improved Extreme Learning Machine

Zhongda Tian,Yi Ren,Gang Wang 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.5

For the safe and stable operation of the power system, accurate wind power prediction is of great significance. A wind power prediction method based on empirical mode decomposition and improved extreme learning machine is proposed in this paper. Firstly, wind power time series is decomposed into several components with different frequency by empirical mode decomposition, which can reduce the non-stationary of time series. The components after decomposing remove the long correlation and promote the different local characteristics of original wind power time series. Secondly, an improved extreme learning machine prediction model is introduced to overcome the sample data updating disadvantages of standard extreme learning machine. Different improved extreme learning machine prediction model of each component is established. Finally, the prediction value of each component is superimposed to obtain the final result. Compared with other prediction models, the simulation results demonstrate that the proposed prediction method has better prediction accuracy for wind power.

Road-friendliness of Fuzzy Hybrid Control Strategy Based on Hardware-in-the-Loop Simulations

Yan, Tian Yi,Li, Qiang,Ren, Kun Ru,Wang, Yu Lin,Zhang, Lu Zou Korean Society for Agricultural Machinery 2012 바이오시스템공학 Vol.37 No.3

Purpose: In order to improve road-friendliness of heavy vehicles, a fuzzy hybrid control strategy consisting of a hybrid control strategy and a fuzzy logic control module is proposed. The performance of the proposed strategy should be effectively evaluated using a hardware-in-the-loop (HIL) simulation model of a semi-active suspension system based on the fuzzy hybrid control strategy prior to real vehicle implementations. Methods: A hardware-in-the-loop (HIL) simulation system was synthesized by utilizing a self-developed electronic control unit (ECU), a PCI-1711 multi-functional data acquisition board as well as the previously developed quarter-car simulation model. Road-friendliness of a semi-active suspension system controlled by the proposed control strategy was simulated via the HIL system using Dynamic Load Coefficient (DLC) and Dynamic Load Stress Factor (DLSF) criteria. Results: Compared to a passive suspension, a semi-active suspension system based on the fuzzy hybrid control strategy reduced the DLC and DLSF values. Conclusions: The proposed control strategy of semi-active suspension systems can be employed to improve road-friendliness of road vehicles.

Green Fabrication of Anti-friction Slippery Liquid-Infused Metallic Surface with Sub-millimeter-Scale Asymmetric Bump Arrays and Its Application

Zhongxu Lian,Yi Cheng,Jinkai Xu,Jinlong Xu,Wanfei Ren,Yanling Tian,Huadong Yu 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.5

In this work, we present a simple technique for green fabrication of slippery liquid-infused surface (SLIS) with anti-friction property on various metallic substrates using wire electrical discharge machining. Micro-crater structures were successfully obtained, and the surface had excellent liquid-repellent property after modification and infusion of silicone oil. A wide range of liquids including water, juice, coffee, tea, vinegar, albumin, glycerol, and ketchup could easily slid down the surface tilted at an angle of 10° without leaving any trace. The influences of the number of cutting step on the morphology and wettability of the surface were studied comprehensively. Further, the tribological properties of the surface were analyzed and the results showed that the SLIS had a decrease of 73.2% in friction coefficient as compared to that of the smooth surface. By studying the morphology of the worn surfaces, it is found that the SLIS had slight abrasive wear behavior. To demonstrate the precision processing ability of this technology, we fabricated slippery sub-millimeter-scale asymmetric bump arrays, and the experiment results showed that the asymmetric bump arrays had excellent water harvesting ability at low temperatures. This kind of environment-friendly precision machining technology will promote the practical applications of metallic functional materials.