In Vitro Screening for Compounds Derived from Traditional Chinese Medicines with Antiviral Activities Against Porcine Reproductive and Respiratory Syndrome Virus

( Jia Cheng ),( Na Sun ),( Xin Zhao ),( Li Niu ),( Mei Qin Song ),( Yao Gui Sun ),( Jun Bing Jiang ),( Jian Hua Guo2 ),( Yuan Sheng Bai ),( Jun Ping He ),( Hong Quan Li ) 한국미생물 · 생명공학회 2013 Journal of microbiology and biotechnology Vol.23 No.8

Seventeen compounds derived from traditional Chinese medicines (TCMs) were tested for their antiviral activity against porcine reproductive and respiratory syndrome virus (PRRSV) in vitro. Visualization with the cytopathologic effect (CPE) assay and the 3-(4, 5-dimethyithiazol- 2-yl)-2,5-diphenyltetrazolium bromide test were used to determine the 50% cytotoxic concentration (CC50) and 50% effective concentration (EC50) in cultured Marc-145 cells. Among the tested compounds, chlorogenic acid and scutellarin showed potential anti-PRRSV activity. The EC50 values were 270.8 ± 14.6 μg/ml and 28.21 ± 26.0 μg/ml and the selectivity indexes were >5.54 and 35.5, respectively. The time-of-addition and virucidal assay indicated that the anti-PRRSV activity of the two compounds could be due to their inhibiting the early stage of virus replication and/or inactivating the virus directly. The inhibition of the virus attachment was not observed in the adsorption inhibition assay. The inhibition ratios of chlorogenic acid and scutellarin were, respectively, 90.8% and 61.1% at the maximum non-cytotoxic concentrations. The results have provided a basis for further exploration of their antiviral properties and mechanisms in vivo. We believe that the chlorogenic acid and scutellarin have a great potential to be developed as new anti-PRRSV drugs for clinical application.

Asymptotic Synchronization Control of High-order Nonlinear Multiagent Systems Using Barrier Functions

Jiacheng Song,Yongfeng Ju,Maode Yan,Panpan Yang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.4

This paper studies the adaptive control problem for unknown time-varying high-order nonlinear multiagent systems (MASs) with directed topology. A novel low-complexity distributed adaptive backstepping controller is developed to achieve the asymptotic synchronization. The designed controller regards the unknown system nonlinearities as “disturbance-like” terms, which are guaranteed to be bounded by using the barrier functions, such that detail models of system nonlinearities are released. Then, the “disturbance-like” terms are compensated adaptively by designing the novel compensator at each step, such that the synchronization error is eliminated to zero eventually for each agent. In addition, unlike the existing backstepping-like synchronization approaches for high-order nonlinear MASs, the “explosion of complexity” issue is avoided without extra low-pass filters. Some simulations are shown to demonstrate the effectiveness and advantages of the developed method.

The Influence of the Economic Variables on the Chinese B-Share Markets

( Jiacheng Li ),( Seong-min Yoon ) 한중사회과학학회 2021 한중사회과학연구 Vol.19 No.1

This paper analyzed how economic variables affect the Chinese B-share market. For this purpose, we investigated the monthly data of major economic variables (consumer price index, imports and exports volume, money supply, real estate index and retail sales volume) and B-share price index of Shanghai and Shenzhen Exchange of China from 2009 to 2019 by employing the multivariate VAR-GARCH-BEKK model. We measured the return spillover effect between Chinese major economic variables and B-share market index from the estimation results of VAR conditional mean equation, and volatility spillover effect between the economic variables and B-share index from the estimation results of GARCH-BEKK conditional variance equation. From these results, we investigated whether there is any difference between the Shanghai and Shenzhen Exchange markets. The main findings are as follows. First, the return spillover effect does not exist in both markets except the Consumer Price Index (CPI). Second, there is the volatility spillover effect between economic variables and Shenzhen B-share market, implying that the volatility spillover effect is more important than the return spillover effect in the Chinese B-share market. Third, compared with Shanghai, the change of the Shenzhen stock market is more affected by the change of economic variables. These findings have some important policy implications. First, investors in Chinese stock market need to make good use of the information inherent in China’s economic changes to increase returns and reduce investment risks. Second, the investors should pay close attention to the overall trends of the Chinese economy and the global economy, not just to the trends of the Chinese market.

Impact of International Oil Prices on Chinese Renewable Energy, Agriculture, and Industrial Stock Prices

Jiacheng Li,동시 한중사회과학학회 2023 한중사회과학연구 Vol.21 No.4

The relationship between oil prices and sector stock prices may be nonlinear. This study explores how fluctuations in international oil prices affect China’s renewable energy, agricultural, and industrial stock prices. For this purpose, this study analyses WTI oil prices, four renewable energy stock indices, four agricultural stock indices, and four manufacturing stock indices spanning from August 2011 to October 2022. It employs a Granger causality test and a non-parametric quantile causality test. The main results are summarised as follows. Firstly, the two causality testing methods yielded different results, with the non-parametric quantitative causality test being more consistent with the expected results. Secondly, the stock prices of six of the 12 industries, including Chemical, Soybean, and Corn, show a clear correlation with oil prices, while the stock prices of the remaining six industries show no correlation with oil prices. Thirdly, the non-parametric quantile causality test results reveal that renewable energy stock prices in China are not dependent on international oil price changes. In addition, macroeconomic policies such as the industrial and employment policies of the government should also thoroughly consider the impact of oil price changes and the stock market situations.

NiO/Ti3C2Tx MXene nanocomposites sensor for ammonia gas detection at room temperature

Jiacheng Yang,Yingang Gui,Yunfeng Wang,Shasha He 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.119 No.-

Poultry feeding will lead to a large amount of ammonia(NH3) emissions, which will seriously affect thequality of meat. Herein, we report a resistive sensor based on NiO/Ti3C2Tx sensitive nanocompositesfor NH3 detection in a natural environment. The nanocomposites were prepared by modifying twodimensional(2D) Ti3C2Tx MXene with nickel oxide (NiO) nanoparticles (NPs) by a simple ultrasonicself-assembly method. The results show that the NiO/Ti3C2Tx MXene nanocomposite sensor exhibits ahigh sensitivity of 6.13 % to 50 ppm NH3 at room temperature (RT), which is 8.7 times higher than thatof the pure Ti3C2Tx MXene sensor. In other words, the addition of NiO NPs can significantly enhance thegas-sensing response of pure Ti3C2Tx MXene to NH3 at RT. Meanwhile, the response and recovery timewere also effectively improved (63 s/19 s) due to the addition of NiO NPs. Furthermore, the responseof the nanocomposite sensor to volatile organic compounds (VOCs) was investigated, and the resultsshowed its prospective and high selectivity. On the other hand, the nanocomposite sensor exhibits goodrepeatability and long-term stability. Finally, a possible sensing mechanism is proposed to improve sensorperformance.

Rotate vector reducer design using resnet-based model and integration of discretized optimization

Jiacheng Miao,Chaoyang Li,Xing Du,Bingkui Chen 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.4

The author present an artificial intelligent (AI)-based deep generative model that demonstrate how to generate design options of mechanical systems, which are not only suitable for specific working conditions but also optimized for engineering performance. In current study, (1) a structural generative residual netowork (SG-Resnet) model is developed to establish the non-linear mapping between the working conditions and the external dimensions of the reducer, the main hyperparameters influencing the prediction ability and learning rate of the SG-Resnet are analyzed. (2) The mixed population non dominated sorting genetic algorithm-II (MP-NSGA-II) is proposed, and used to obtain pareto optimal solutions of the internal dimensions of the reducer. Experiments are performed to validate the positive effect of the structural generative model on the stiffness of the reducer. This research provides a novel method for reducer design and lays a solid foundation for the development of sequential engineering software for integrated rotate vector (RV) reducer.

Fabrication of Porous Ni-W-Al-O Composite Oxide Films with High Corrosion Resistance on Aluminum Alloys through Hybrid Anodization

Jiacheng Liu,Satoshi Masuda,Song-Zhu Kure-Chu 한국표면공학회 2023 한국표면공학회 학술발표회 초록집 Vol.2023 No.11-1

Robust Observer-based Trajectory Tracking Control for Unmanned Aerial Manipulator

Jiacheng Liang,Yanjie Chen,Ningbin Lai,Bingwei He 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.2

This paper aims at the stable motion control problem of the unmanned aerial manipulator (UAM) with internal interactions and external environment disturbances, and proposes a robust observer-based trajectory tracking control framework. Considering the large-dimensional nonlinearity and underactuated of UAM dynamics, a separate control scheme is adopted, including a geometric controller for quadrotor UAV and prescribed performance control (PPC) method for onboard active manipulator (OAM). In particular, an observer-based geometric control scheme is developed for the position and attitude tracking of the quadrotor UAV to ensure steady flight, where the quadrotor UAV attitude is represented by the rotation matrix to eliminate singularities or ambiguities. Subsequently, an observer-based PPC method is presented for the OAM to guarantee the prescribed transient and steady-state performance responses. Finally, the simulation comparisons and experimental study validate the effectiveness and performances of the proposed control framework.

Curricula of China`s Schools for the intellectual disability in the Course of Their Reform and Development

( Xu Jiacheng ) 대구대학교 특수교육문제연구소 2009 한국특수교육문제연구소 학술대회발표자료집 Vol.2009 No.-

Indoor 3D Dynamic Reconstruction Fingerprint Matching Algorithm in 5G Ultra-Dense Network

( Yuexia Zhang ),( Jiacheng Jin ),( Chong Liu ),( Pengfei Jia ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.1

In the 5G era, the communication networks tend to be ultra-densified, which will improve the accuracy of indoor positioning and further improve the quality of positioning service. In this study, we propose an indoor three-dimensional (3D) dynamic reconstruction fingerprint matching algorithm (DSR-FP) in a 5G ultra-dense network. The first step of the algorithm is to construct a local fingerprint matrix having low-rank characteristics using partial fingerprint data, and then reconstruct the local matrix as a complete fingerprint library using the FPCA reconstruction algorithm. In the second step of the algorithm, a dynamic base station matching strategy is used to screen out the best quality service base stations and multiple sub-optimal service base stations. Then, the fingerprints of the other base station numbers are eliminated from the fingerprint database to simplify the fingerprint database. Finally, the 3D estimated coordinates of the point to be located are obtained through the K-nearest neighbor matching algorithm. The analysis of the simulation results demonstrates that the average relative error between the reconstructed fingerprint database by the DSR-FP algorithm and the original fingerprint database is 1.21%, indicating that the accuracy of the reconstruction fingerprint database is high, and the influence of the location error can be ignored. The positioning error of the DSR-FP algorithm is less than 0.31 m. Furthermore, at the same signal-to-noise ratio, the positioning error of the DSR-FP algorithm is lesser than that of the traditional fingerprint matching algorithm, while its positioning accuracy is higher.