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.

Disruption of ecdysis in Leptinotarsa decemlineata by knockdown of chitin deacetylase 1

Jian-Jian Wu,Li-Li Mu,Zhong-Chao Chen,Kai-Yun Fu,Wen-Chao Guo,Chao Li,Guo-Qing Li 한국응용곤충학회 2019 Journal of Asia-Pacific Entomology Vol.22 No.2

Chitin deacetylases (CDAs) catalyze N-deacetylation of chitin, a crucial process for chitin modification. In the present paper, LdCDA1 was identified in Leptinotarsa decemlineata. It was copiously expressed in larval foregut, hindgut and epidermis. Just before the molt in the first, second and third larval instars, the mRNA levels of LdCDA1 were high. In the fourth (final)-instar larvae, a peak occurred 4 days after ecdysis. In vivo results revealed that LdCDA1 transcriptionally responded, positively and negatively respectively, to 20-hydroxyecdysone and juvenile hormone titers. Moreover, knockdown of LdCDA1 significantly reduced foliage consumption, lengthened developing period and prevented growth in the final instar larvae. Three distinct lethal phenotypes were noted in the LdCDA1 RNAi larvae. About 30% of the RNAi larvae became moribund and finally died; approximately 50% of deformed pupae died as pharate adults; and around 20% of LdCDA1 depleted pupae finally emerged as abnormal adults and eventually died within 1 week after emergence. Furthermore, chitin content was low and the mRNA levels of five chitin biosynthesis transcripts (LdUAP1, LdUAP2, LdChSAa, LdChSAb and LdChSB) were significantly declined in the LdCDA1 RNAi larvae. In addition, glucose, trehalose and glycogen contents were increased in the LdCDA1 depleted hypomorphs, along with highly expressed genes coding for trehalose and glycogen synthesis enzymes. The findings provide a compelling piece of evidence that CDA1 is critical for chitin deposition in L. decemlineata. Moreover, LdCDA1 may be a potential target for control of the larvae.

Preparation, self-assembly and performance modulation of gold nanoparticles decorated ferrocene-containing hybrid block copolymer multifunctional materials

Jian-Guo Zhang,Xue-Yin Zhang,Hua Yu,Yan-Ling Luo,Feng Xu,Ya-Shao Chen 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.65 No.-

Gold nanoparticles decorated stimuli-responsive copolymer hybrids, poly(2-methacryloyloxyethyl ferrocenecarboxylate)-block-poly(N-isopropylacryamide) decorated with gold nanoparticles, were synthesized through two-step successive RAFT and ensuing in-situ reduction. The hybrids could self-assemble into interesting micelle structures from globular, wormlike to rodlike shapes by altering the quality and compositions of solvents and ionic strength, and exhibited multifunctionality including quasi-reversible electrochemical behavior, redox-stress responsiveness and temperature sensitivity. The physicochemical and electrochemical properties were modulated by tailor-making the system compositions and redox reaction. The copolymer hybrids were expected to broaden their applications in nanobiomedicine including targeted drug carriers and magnetic resonance imaging, optical, electrochemical catalyst, optoelectronics and sensors etc.

아드만탄 기반의 새로운 설포네이트 폴리카보네이트 난연제 성능 연구

Jian Wei Guo,Yue Qin Wang,Li Juan Feng,Xing Zhong,Chu Fen Yang,Sa Liu,Ying De Cui 한국고분자학회 2013 폴리머 Vol.37 No.4

A novel sulfonate flame retardant, 1,3,5,7-tetrakis(phenyl-4-sodium sulfonate)adamantane (FR-A), was suc-cessfully synthesized from l-bromoadamantane in sequential four-step reactions involving Fiedel-Crafts phenylation, sul-phonation, hydrolysis, and neutralization. The success of synthesis was confirmed by FTIR spectra, ‘H NMR spectra, elemental analyses and mass spectra. The effect of FR-A on the flame retardacy of polycarbonate (PC) has been studied. Limiting oxygen index (LOI) and thermogravimetric analysis (TGA) showed that this novel sulfonate flame retardant had effective flame retardancy on polycarbonate (PC). With a small amount (0.08 Wt%) of FR-A. the flame retardancy of PC was improved obviously, which got to UL 94 V-0 rating. TGA and DTA curves demonstrated that the additive raised the degradation rate of PC by promoting the quick formation of an insulating carbon layer on the surface, and confirmed that the flame retardant mechanism of PC/FR-A system was similar to potassium diphenylsulfone sulfonate (KSS).

Predicting the Duration of a General Contracting Industrial Project based on the Residual Modified Model

Jian-Xia Guo,Chang-Ming Hu,Rong Bao 대한토목학회 2019 KSCE Journal of Civil Engineering Vol.23 No.8

The general contracting projects are developed in China, in the past two decades. In the early stage of a project, because of the lack of specific design drawings and project plans, it is difficult for the general contractor to determine the construction period when signing the contract. However, little research has undertaken on quickly and efficiently estimating construction duration of a general contracting industrial project. Therefore, the purpose of this paper is to explore a suitable model for estimating construction duration of the general contracting industrial project in China. Data for 90 completed projects are collected in a company that undertakes nationwide industrial projects. Four single variable models and fourteen multivariate models are analyzed using statistical method. And the residual modified model integrating wavelet neural network (WNN) is also developed through using a predictive error to amend the statistical model. The results show that the residual modified models obtain more enhanced prediction accuracy than regression models, despite their good fitting performance. The modified model can be used for helping contractors forecast project duration in the early stage of a project.

Global Convergence Properties of Two Modified BFGS-Type Methods

JIAN-GUO LIU,QIANG GUO 한국전산응용수학회 2007 Journal of applied mathematics & informatics Vol.23 No.1

This article studies a modified BFGS algorithm for solving smooth unconstrained strongly convex minimization problem. The modified BFGS method is based on the new quasi-Newton equation Bk+1sk = yk where y k = yk + Aksk and Ak is a matrix. Wei, Li and Qi [WLQ] have proven that the average performance of two of those algorithms is better than that of the classical one. In this paper, we prove the global convergence of these algorithms associated to a general line search rule.

Use of multi-hybrid machine learning and deep artificial intelligence in the prediction of compressive strength of concrete containing admixtures

Jian, Guo,Wen, Sun,Wei, Li Techno-Press 2022 Advances in concrete construction Vol.13 No.1

Conventional concrete needs some improvement in the mechanical properties, which can be obtained by different admixtures. However, making concrete samples costume always time and money. In this paper, different types of hybrid algorithms are applied to develop predictive models for forecasting compressive strength (CS) of concretes containing metakaolin (MK) and fly ash (FA). In this regard, three different algorithms have been used, namely multilayer perceptron (MLP), radial basis function (RBF), and support vector machine (SVR), to predict CS of concretes by considering most influencers input variables. These algorithms integrated with the grey wolf optimization (GWO) algorithm to increase the model's accuracy in predicting (GWMLP, GWRBF, and GWSVR). The proposed MLP models were implemented and evaluated in three different layers, wherein each layer, GWO, fitted the best neuron number of the hidden layer. Correspondingly, the key parameters of the SVR model are identified using the GWO method. Also, the optimization algorithm determines the hidden neurons' number and the spread value to set the RBF structure. The results show that the developed models all provide accurate predictions of the CS of concrete incorporating MK and FA with R² larger than 0.9972 and 0.9976 in the learning and testing stage, respectively. Regarding GWMLP models, the GWMLP1 model outperforms other GWMLP networks. All in all, GWSVR has the worst performance with the lowest indices, while the highest score belongs to GWRBF.

An Empirical Analysis of Sino-Russia Foreign Trade Turnover Time Series: Based on EMD-LSTM Model

GUO, Jian,WU, Kai Kun,YE, Lyu,CHENG, Shi Chao,LIU, Wen Jing,YANG, Jing Ying Korea Distribution Science Association 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.10

The time series of foreign trade turnover is complex and variable and contains linear and nonlinear information. This paper proposes preprocessing the dataset by the EMD algorithm and combining the linear prediction advantage of the SARIMA model with the nonlinear prediction advantage of the EMD-LSTM model to construct the SARIMA-EMD-LSTM hybrid model by the weight assignment method. The forecast performance of the single models is compared with that of the hybrid models by using MAPE and RMSE metrics. Furthermore, it is confirmed that the weight assignment approach can benefit from the hybrid models. The results show that the SARIMA model can capture the fluctuation pattern of the time series, but it cannot effectively predict the sudden drop in foreign trade turnover caused by special reasons and has the lowest accuracy in long-term forecasting. The EMD-LSTM model successfully resolves the hysteresis phenomenon and has the highest forecast accuracy of all models, with a MAPE of 7.4304%. Therefore, it can be effectively used to forecast the Sino-Russia foreign trade turnover time series post-epidemic. Hybrid models cannot take advantage of SARIMA linear and LSTM nonlinear forecasting, so weight assignment is not the best method to construct hybrid models.

Global convergence properties of the modified BFGS method associating with general line search model

Jian-guo Liu,Qiang Guo 한국전산응용수학회 2004 Journal of applied mathematics & informatics Vol.16 No.-

To the unconstrained programme of non-convex function, this article give a modified BFGS algorithm. The idea of the algorithm is to modify the approximate Hessian matrix for obtaining the descent direction and guaranteeing the efficacious of the quasi-Newton iteration pattern. We prove the global convergence properties of the algorithm associating with the general form of line search, and prove the quadratic convergence rate of the algorithm under some conditions.

Effects of Wushu-Sanda Player`s Different Exercise Intensity on the Fatigue Substance, Oxidative Stress and Antioxidant Enzyme

( Guo Jian He ),( Zhi Hong Bao ),( Tian Yu Liu ),( Shuai Li ),( Jeong Ryong Chae ) 한국체육학회 2016 국제스포츠과학 학술대회 Vol.2016 No.1

Purpose: The purpose of this study was designed to examine the activation of Fatigue Substance, Oxidative Stress and Antioxidant Enzyme in Wushu Sanda players according to the different exercise intensity. Methods & Materials: Subjects of this four-week-long Wushu exercise program were divided into 2 groups: high intensity group (n=8), and low intensity group (n=8). Subjects participated in this program once a day (high intensity group:60mins, low intensity group:90mins) and 5 times per week (Monday to Friday). Every subjects’ fatigue substance (LAC, LDH), oxidative stress (MDA) and antioxidant enzyme (GPx, SOD, CAT) were measured before the program, immediately after exercise, after 30mins recovery and after 60mins recovery. All these parameters were measured again four-week latter. Statistics: ANOVA, paired t-test and repeated ANOVA were carried out to analyze the changes before and after the exercises, changes in terms of fatigue substance, oxidative stress and antioxidant enzyme, respectively. Statistical significance is established at the .05 level (p<.05). Result: 1. Change of LAC and LDH Pre and Post exercises, analysis of the LAC have statistically significant changes in recovery 30 and 60minutes than immediately after within each group (p<.05). But according to the time of measurement there are no statistically significant difference (p>.05). And, after four weeks, LAC in both groups are lower than the concentration of before exercise. Especially, the low intensity exercise group are lower than the high intensity exercise group. But all variables are no statistically significant differences(p<.05). Pre and Post exercises, analysis of the LDH was statistically significant changes in immediately after and recovery 60minutes within each group(p<.05). And according to the time of measurement were only significantly difference in the rest (p<.05). What’s more, the high intensity exercise group are lower than the low intensity exercise group (p>.05). 2. Change of MDA MDA in low intensity group was significantly higher after exercise and 30mins recovery than before exercise (p<.05). In high intensity group, no significant difference was found. 3. Change of GPx, SOD, CAT After the four weeks exercise, GPx in high intensity group shows significant differences after 30mins and 60mins recovery compared with the value of pre-exercise (p<.05). No significant difference was found in low intensity group. Compared to the value of SOD pre-exercise, the SOD of post-exercise shows significant differences after 30mins and 60mins recovery in high intensity group ( p<.05) while only immediately after exercise in low intensity group (p<.01 ). In CAT, a significant difference was found in high intensity group after the four weeks exercise (p<.05). No significant difference was found in low intensity group. Conclusion: After four weeks exercise, some differences were found in fatigue substance(LAC, LDH), oxidative stress(MDA) and antioxidant enzyme(GPx, SOD, CAT) in both groups: LDH was found to be increased in high intensity group after the four-week exercise; MDA was increased in low intensity group after exercise and 30mins recovery than before exercise; compared with the value of pre-exercise, GPx and SOD in high intensity group shows significant differences after 30mins and 60mins recovery; while in low intensity group, the SOD difference only occurred immediately after exercise; In CAT, a significant difference was found in high intensity group but no significant difference was found in low intensity group.