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| 1 | Xanthine oxidase inhibitors from Archidendron clypearia(Jack.) I.C. Nielsen: Results from systematic screening of Vietnamese medicinal plants显示文摘Objective: To screen Vietnamese medicinal plants for xanthine oxidase(XO) inhibitory activity and to isolate XO inhibitor(s) from the most active plant. Methods: The plants materials were extracted by methanol. The active plant materials were fractionated using different organic solvents, including n-hexane, ethyl acetate, and n-butanol. Bioassay-guided fractionation and column chromatography were used to isolate compounds. The compounds structures were elucidated by analysis of spectroscopic data, including IR, MS, and NMR. Results: Three hundreds and eleven methanol extracts(CME) belonging to 301 Vietnamese herbs were screened for XO inhibitory activity. Among these plants, 57 extracts displayed XO inhibitory activity at 100 μg/m L with inhibition rates of over 50%. The extracts of Archidendron clypearia, Smilax poilanei, Linociera ramiflora and Passiflora foetida exhibited the greatest potency with IC_(50) values below 30 μg/m L. Chemical study performed on the extract of Archidendron clypearia resulted in the isolation of six compounds, including 1-octacosanol, docosenoic acid, daucosterol, methyl gallate, quercitrin and(-)-7-O-galloyltricetiflavan. The compound(-)-7-O-galloyltricetiflavan showed the most potent XO inhibitory activity with an IC_(50) value of 25.5 μmol/L. Conclusions: From this investigation, four Vietnamese medicinal plants were identified to have XO inhibitory effects with IC_(50) values of the methanol extracts below 30 μg/m L. Compound(-)-7-O-galloyltricetiflavan was identified as an XO inhibitor from Archidendron clypearia with IC_(50) value of 25.5 μmol/L. | Nguyen Thuy Duong Pham Duc Vinh Phuong Thien Thuong Nguyen Thi Hoai Le Nguyen Thanh Tran The Bach Nguyen Hai Nam Nguyen Hoang Anh | 2017 | Asian Pacific Journal of Tropical Medicine2017，10，6： | 5 |
| 2 | Double-loop Control Structure Using Proportional Resonant and Sequence-decoupled Resonant Controllers in Static Coordinates for Dynamic Voltage Restorer显示文摘Among incidents on grids,the sag/swell voltage is considered as the most frequent incident.To solve this problem,custom power devices are used.In particular,the dynamic voltage restorer(DVR)is a modern and efficient customer device.DVRs are used to mitigate voltage sag/swells and harmonics on the load bus,thus protecting the sensitive loads.The DVR is a serial compensator that applies a voltage to the point of common coupling to maintain the voltage of sensitive load at the nominal value.To improve the performance of DVRs,in this study,the control strategy of the two-stage loop circuit is implemented.The external voltage control loop uses a sequence-decoupled resonant(SDR)controller,and the inner current-control loop uses the proportional resonant(PR)controller implemented in the stationary frameαβ. | Vu Thai Hung Hongchun Shu Le Ngoc Giang Nguyen Duc The | 2019 | Chinese Journal of Electrical Engineering2019，5，3： | 4 |
| 3 | Methanolysis of triolein by low frequency ultrasonic irradiation显示文摘 | Hoang Duc Hanh Nguyen The Dong Carmen Starvarache | 2008 | Energy Conversion and Management2008，49，2： | 1 |
| 4 | Methanolysis of trolein by low frequency ultrasonic irradiation 显示文摘 | HOANG DUC HANH NGUYEN THE DONG CAR- MEN STARVARACHE | 2008 | Ener Con and Maria2008，49，： | 1 |
| 5 | Methanolysis of triolein by low frequency ultrasonic irradiation 显示文摘 | Hoang Duc Hanh Nguyen The Dong Carmen Starvarache | 2008 | Energy Conversion and Management2008，49，2： | 1 |
| 6 | Effects of molar ratio, catalyst concentration and temperature on transesteri?cation of triolein with ethanol under ultrasonic irradiation 显示文摘 | Hanh Hoang Duc Dong Nguyen The Okitsu Kenji | 2007 | Jpn Pet Inst2007，50，19： | 1 |
| 7 | Biodiesel production through transesteri?cation of triolein with various alcohols in an ultrasonic ?eld显示文摘 | Hoang Duc Hanh Nguyen The Dong Kenji Okitsu | 2009 | Renew Energy2009，34，11： | 1 |
| 8 | Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system显示文摘A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements,such as the modulus of the subgrade reaction(Y1)and the elastic modulus of the slab(Y2),which are crucial for assessing the structural strength of pavements.In this study,we developed a novel hybrid artificial intelligence model,i.e.,a genetic algorithm(GA)-optimized adaptive neuro-fuzzy inference system(ANFIS-GA),to predict Y1 and Y2 based on easily determined 13 parameters of rigid pavements.The performance of the novel ANFIS-GA model was compared to that of other benchmark models,namely logistic regression(LR)and radial basis function regression(RBFR)algorithms.These models were validated using standard statistical measures,namely,the coefficient of correlation(R),mean absolute error(MAE),and root mean square error(RMSE).The results indicated that the ANFIS-GA model was the best at predicting Y1(R=0.945)and Y2(R=0.887)compared to the LR and RBFR models.Therefore,the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters for the appropriate and rapid assessment of the quality and strength of pavements. | Long Hoang NGUYEN Dung Quang VU Duc Dam NGUYEN Fazal E.JALAL Mudassir IQBAL Vinh The DANG Hiep Van LE Indra PRAKASH Binh Thai PHAM | 2023 | Frontiers of Structural and Civil Engineering2023，17，5： | 0 |
| 9 | Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data显示文摘Clustering is a crucial method for deciphering data structure and producing new information.Due to its significance in revealing fundamental connections between the human brain and events,it is essential to utilize clustering for cognitive research.Dealing with noisy data caused by inaccurate synthesis from several sources or misleading data production processes is one of the most intriguing clustering difficulties.Noisy data can lead to incorrect object recognition and inference.This research aims to innovate a novel clustering approach,named Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering(PNTS3FCM),to solve the clustering problem with noisy data using neutral and refusal degrees in the definition of Picture Fuzzy Set(PFS)and Neutrosophic Set(NS).Our contribution is to propose a new optimization model with four essential components:clustering,outlier removal,safe semi-supervised fuzzy clustering and partitioning with labeled and unlabeled data.The effectiveness and flexibility of the proposed technique are estimated and compared with the state-of-art methods,standard Picture fuzzy clustering(FC-PFS)and Confidence-weighted safe semi-supervised clustering(CS3FCM)on benchmark UCI datasets.The experimental results show that our method is better at least 10/15 datasets than the compared methods in terms of clustering quality and computational time. | Pham Huy Thong Florentin Smarandache Phung The Huan Tran Manh Tuan Tran Thi Ngan Vu Duc Thai Nguyen Long Giang Le Hoang Son | 2023 | Computer Systems Science & Engineering2023，46，8： | 0 |
| 10 | Sea Turtles in Vietnam: On the Edge of Extinction显示文摘 | Cuong The Chu The Duc Nguyen | 2015 | Journal of Life Sciences2015，9，8： | 0 |
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