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| 1 | Genetic variants of interferon regulatory factor 5 associated with chronic hepatitis B infection显示文摘AIM To investigate possible effects of IRF5 polymorphisms in the 3' UTR region of the IFR5 locus on susceptibilityto hepatitis B virus(HBV) infection and progression of liver diseases among clinically classified Vietnamese patients.METHODS Four IFR5 SNPs(rs13242262 A/T, rs77416878 C/T, rs10488630 A/G, and rs2280714 T/C) were genotyped in clinically classified HBV patients [chronic hepatitis B(CHB). n = 99; liver cirrhosis(LC), n = 131; hepatocellular carcinoma(HCC), n = 149] and in 242 healthy controls by direct sequencing and Taq Man realtime PCR assays. RESULTS Comparing patients and controls, no significant association was observed for the four IFR5 variants. However, the alleles rs13242262 T and rs10488630 G contributed to an increased risk of liver cirrhosis(LC vs CHB: OR = 1.5, 95%CI: 1.1-2.3, adjusted P = 0.04; LC vs CHB: OR = 1.7, 95%CI: 1.1-2.6, adjusted P = 0.019). Haplotype IRF5*TCGT constructed from 4 SNPs was observed frequently in LC compared to CHB patients(OR = 2.1, 95%CI: 1.2-3.3, adjusted P = 0.008). Haplotype IRF5*TCAT occurred rather among CHB patients than in the other HBV patient groups(LC vs CHB: OR = 0.4, 95%CI: 0.2-0.8, adjusted P = 0.03; HCC vs CHB: OR = 0.3, 95%CI: 0.15-0.7, adjusted P = 0.003). The IRF5*TCAT haplotype was also associated with increased levels of ALT, AST and bilirubin. CONCLUSION Our study shows that IFR5 variants may contribute as a host factor in determining the pathogenesis in chronic HBV infections. | Bui Tien Sy Nghiem Xuan Hoan Hoang Van Tong Christian G Meyer Nguyen Linh Toan Le Huu Song Claus-Thomas Bock Thirumalaisamy P Velavan | 2018 | World Journal of Gastroenterology2018，24，2： | 9 |
| 2 | Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network显示文摘In mining or construction projects,for exploitation of hard rock with high strength properties,blasting is frequently applied to breaking or moving them using high explosive energy.However,use of explosives may lead to the flyrock phenomenon.Flyrock can damage structures or nearby equipment in the surrounding areas and inflict harm to humans,especially workers in the working sites.Thus,prediction of flyrock is of high importance.In this investigation,examination and estimation/forecast of flyrock distance induced by blasting through the application of five artificial intelligent algorithms were carried out.One hundred and fifty-two blasting events in three open-pit granite mines in Johor,Malaysia,were monitored to collect field data.The collected data include blasting parameters and rock mass properties.Site-specific weathering index(WI),geological strength index(GSI) and rock quality designation(RQD)are rock mass properties.Multi-layer perceptron(MLP),random forest(RF),support vector machine(SVM),and hybrid models including Harris Hawks optimization-based MLP(known as HHO-MLP) and whale optimization algorithm-based MLP(known as WOA-MLP) were developed.The performance of various models was assessed through various performance indices,including a10-index,coefficient of determination(R^(2)),root mean squared error(RMSE),mean absolute percentage error(MAPE),variance accounted for(VAF),and root squared error(RSE).The a10-index values for MLP,RF,SVM,HHO-MLP and WOA-MLP are 0.953,0.933,0.937,0.991 and 0.972,respectively.R^(2) of HHO-MLP is 0.998,which achieved the best performance among all five machine learning(ML) models. | Bhatawdekar Ramesh Murlidhar Hoang Nguyen Jamal Rostami XuanNam Bui Danial Jahed Armaghani Prashanth Ragam Edy Tonnizam Mohamad | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 6 |
| 3 | Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms显示文摘Due to the rapid industrialization and the development of the economy in each country,the demand for energy is increasing rapidly.The coal mines have to pace up the mining operations with large production to meet the energy demand.This requirement has led underground coal mines to go deeper with more difficult conditions,especially the mining hazards,such as large deformations,rockburst,coal burst,roof collapse,to name a few.Therefore,this study aims at investigating and predicting the stability of the roadways in underground coal mines exploited by longwall mining method,using various novel intelligent techniques based on physics-based optimization algorithms(i.e.multi-verse optimizer(MVO),equilibrium optimizer(EO),simulated annealing(SA),and Henry gas solubility optimization(HGSO)) and adaptive neuro-fuzzy inference system(ANFIS),named as MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSOANFIS models.Accordingly,162 roof displacement events were investigated based on the characteristics of surrounding rocks,such as cohesion,Young’s modulus,density,shear strength,angle of internal friction,uniaxial compressive strength,quench durability index,rock mass rating,and tensile strength.The MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSO-ANFIS models were then developed and evaluated based on this dataset for predicting roof displacements in roadways of underground mines.The results indicated that the proposed intelligent techniques could accurately predict the roof displacements in roadways of underground mines with an accuracy in the range of 83%-92%.Remarkably,the SA-ANFIS model yielded the most dominant accuracy(i.e.92%).Based on the accurate predictions from the proposed techniques,the reinforced solutions can be timely suggested to ensure the stability of roadways during exploiting coal,especially in the underground coal mines exploited by the longwall mining. | Chengyu Xie Hoang Nguyen Xuan-Nam Bui Van-Thieu Nguyen Jian Zhou | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 4 |
| 4 | Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms显示文摘Blasting is well-known as an effective method for fragmenting or moving rock in open-pit mines.To evaluate the quality of blasting,the size of rock distribution is used as a critical criterion in blasting operations.A high percentage of oversized rocks generated by blasting operations can lead to economic and environmental damage.Therefore,this study proposed four novel intelligent models to predict the size of rock distribution in mine blasting in order to optimize blasting parameters,as well as the efficiency of blasting operation in open mines.Accordingly,a nature-inspired algorithm(i.e.,firefly algorithm-FFA)and different machine learning algorithms(i.e.,gradient boosting machine(GBM),support vector machine(SVM),Gaussian process(GP),and artificial neural network(ANN))were combined for this aim,abbreviated as FFA-GBM,FFA-SVM,FFA-GP,and FFA-ANN,respectively.Subsequently,predicted results from the abovementioned models were compared with each other using three statistical indicators(e.g.,mean absolute error,root-mean-squared error,and correlation coefficient)and color intensity method.For developing and simulating the size of rock in blasting operations,136 blasting events with their images were collected and analyzed by the Split-Desktop software.In which,111 events were randomly selected for the development and optimization of the models.Subsequently,the remaining 25 blasting events were applied to confirm the accuracy of the proposed models.Herein,blast design parameters were regarded as input variables to predict the size of rock in blasting operations.Finally,the obtained results revealed that the FFA is a robust optimization algorithm for estimating rock fragmentation in bench blasting.Among the models developed in this study,FFA-GBM provided the highest accuracy in predicting the size of fragmented rocks.The other techniques(i.e.,FFA-SVM,FFA-GP,and FFA-ANN)yielded lower computational stability and efficiency.Hence,the FFA-GBM model can be used as a powerful and precise soft computing tool that can be applied to practical engineering cases aiming to improve the quality of blasting and rock fragmentation. | Chengyu Xie Hoang Nguyen Xuan-Nam Bui Yosoon Choi Jian Zhou Thao Nguyen-Trang | 2021 | Geoscience Frontiers2021，12，3： | 3 |
| 5 | K-Ar Dating of Fault Gouges from the Red River Fault Zone of Vietnam显示文摘Constraining the timing of fault zone formation is fundamentally important in terms of geotectonics to understand structural evolution and brittle fault processes.This paper presents the first authigenic illite K-Ar age data from fault gouge samples collected from the Red River Shear Zone at Lao Cai province,Vietnam.The fault gouge samples were separated into three grain-size fractions(<0.1 μm,0.1-0.4 μm and 0.4-1.0 μm).The results show that the K-Ar age values decrease from coarser to finer grain fractions(24.1 to 19.2 Ma),suggesting enrichment in finer fraction of morerecently grown authigenic illites.The timing of the fault movement are the lower intercept ages at 0%detrital illite(19.2 ± 0.92 Ma and 19.4 ± 0.49 Ma).In combination with previous geochronological data,this result indicates that the metamorphism of the Day Nui Con Voi(DNCV) metamorphic complex took place before ca.26.8 Ma.At about 26.8 Ma-25 Ma,the fault strongly acted to cause the rapid exhumation of the rocks along the Red River-Ailoa Shan Fault Zone(RR-ASFZ).During brittle deformation,the DNCV slowly uplifted,implying weak movement of the fault.This brittle deformation might have lasted for ca.5 Ma. | BUI Hoang Bac NGO Xuan Thanh Yungoo SONG Tetsumaru ITAYA Koshi YAGI KHUONG The Hung NGUYEN Tien Dung | 2016 | Acta Geologica Sinica(English Edition)2016，90，5： | 2 |
| 6 | Ecoregional variations of aboveground biomass and stand structure in evergreen broadleaved forests显示文摘Biotic and abiotic factors control aboveground biomass(AGB)and the structure of forest ecosystems.This study analyses the variation of AGB and stand structure of evergreen broadleaved forests among six ecoregions of Vietnam.A data set of 1731-ha plots from 52 locations in undisturbed old-growth forests was developed.The results indicate that basal area and AGB are closely correlated with annual precipitation,but not with annual temperature,evaporation or hours of sunshine.Basal area and AGB are positively correlated with trees>30 cm DBH.Most areas surveyed(52.6%)in these old-growth forests had AGB of 100–200 Mg ha^-1;5.2%had AGB of 400–500 Mg ha^-1,and 0.6%had AGB of>800 Mg ha^-1.Seventy percent of the areas surveyed had stand densities of 300–600 ind.ha^-1,and 64%had basal areas of 20–40 m^2 ha^-1.Precipitation is an important factor influencing the AGB of old-growth,evergreen broadleaved forests in Vietnam.Disturbances causing the loss of large-diameter trees(e.g.,>100 cm DBH)affects AGB but may not seriously affect stand density. | Tran Van Do Mamoru Yamamoto Osamu Kozan Vo Dai Hai Phung Dinh Trung Nguyen Toan Thang Lai Thanh Hai Vu Thanh Nam Trieu Thai Hung Hoang Van Thang Tran Duc Manh Cao Chi Khiem Vu Tien Lam Nguyen Quang Hung Tran Hoang Quy Pham Quang Tuyen Trinh Ngoc Bon Nguyen Thi Thu Phuong Ninh Viet Khuong Nguyen Van Tuan Dang Thi Hai Ha Tran Hai Long Dang Van Thuyet Dang Thinh Trieu Nguyen Van Thinh Tran Anh Hai Duong Quang Trung Nguyen Van Bich Dinh Hai Dang Pham Tien Dung Nguyen Huy Hoang Le Thi Hanh Phan Minh Quang Nguyen Thi Thuy Huong Hoang Thanh Son Nguyen Thanh Son Nguyen Thi Van Anh Nguyen Thi Hoai Anh Pham Dinh Sam Hoang Thi Nhung Hoang Van Thanh Nguyen Huu Thinh Tran Hong Van Ho Trung Luong Bui Kieu Hung | 2020 | Journal of Forestry Research2020，31，5： | 1 |
| 7 | Face recognition based on SVM and 2DPCA 显示文摘 | Thai Hoang Le Len Bui | 2011 | International Journal of Signal Processing Image Processing and Pattern Recognition2011，4，3： | 1 |
| 8 | Dietary flavonoid iron complexes as cytoprotective superoxide radical scavenger显示文摘 | Majid Y Moridani Jalal Pourahmadv Hoang Bui | 2003 | Free Radical Biology & Medicine2003，34，2： | 1 |
| 9 | 颅骨测量数据揭示欧亚大陆东部史前人群扩散的'二层'模式显示文摘本文是基于考古发掘获取的人骨遗存在内的89组古代及现代的人群样本而做的颅骨形态测量研究,侧重说明解剖学意义上的现代人(anatomically modern humans)在欧亚大陆东部演化分布的“二层”模式。距今6.5万~5万年以前,“第一层”现代人经东南亚大陆向东、向南扩散,他们与现今安达曼人、澳大利亚人、巴布亚人的祖先以及日本绳纹时代人群最为接近。距今约九千年前,拥有东北亚血统的“第二层”现代人出现在中国中部地区,并于距今四千年前后向南扩张至东南亚地区,这些人群在颅骨形态上与西伯利亚人具有密切的亲缘关系。上述两大人群最初交流有限,在农业能够支撑增加人口密度的情境下,“第二层”现代人增长速度较快,人口数量较多。这两层人群显著的二重结构特征,表明了现代人在欧亚大陆南、北不同迁移路线间的历时性差异。 | 松村博文 洪晓纯 Charles Higham 张弛 山形真理子 Lan Cuong Nguyen 李珍 范雪春 Truman Simanjuntak Adhi Agus Oktaviana 何嘉宁 陈仲玉 潘建国 贺刚 孙国平 黄渭金 李新伟 魏兴涛 Kate Domett Sin Halcrow Kim Dung Nguyen Hoang Hiep Trinh Chi Hoang Bui Khanh Trung Kien Nguyen Andreas Reinecke 邓婉文(译) 赵春光(译) 洪晓纯(校) | 2020 | 南方文物2020，，2： | 1 |
| 10 | Im-provements in thermal,mechanical,and dielectric properties of ep-oxy resin by chemical modification with a novel amino-terminatedliquid-crystalline copoly(ester amide)显示文摘 | Le Hoang Sinh Bui Thanh Son Nguyen Ngoc Trung | 2012 | Reactive and Func-tional Polymer2012，72，8： | 1 |
| 11 | Improvements in thermal, mechanical, and dielectricproperties of epoxy resin by chemical modification with a novel amino-terminated Liquid-crystalline copoly (ester amide)显示文摘 | Le Hoang Sinh Bui Thanh Son Nguyen Ngoc Trung | 2012 | Reactive and Functional Polymer2012，72，8： | 1 |
| 12 | Intravenous Drug Use Among Street-Based Sex Workers: A High-Risk Behavior for HIV Transmission显示文摘 | Nguyen Anh Tuan Nguyen Tran Hien Pham Kim Chi Le Truong Giang Bui Duc Thang Hoang Thuy Long Tobi Saidel Roger Detels | 2004 | Sexually Transmitted Diseases2004，，： | 1 |
| 13 | Humidity control materials prepared from diatomite and volcanic ash显示文摘 | Dinh-Hieu Vu Kuen-Sheng Wang Bui Hoang Bac | 2013 | Construction and Building Materials2013，38，： | 1 |
| 14 | 越南农作物病虫害预警防控体系发展现状及思考显示文摘简述了越南区域植物保护中心的地位和职能、水稻病虫测报调查技术、近年来水稻病虫防控技术的发展以及越南农业合作社发展现状。结合中越水稻迁飞性害虫监测与防治合作项目研究进展,明确了越南水稻迁飞性害虫发生对我国具有重要的指示意义,提出了进一步扩大合作范围、深化合作内容的建议,以期为两国预测迁飞性害虫发生动态提供更为充分的依据,全面提升两国植保能力,为保障两国农业发展和粮食安全发挥重要作用。 | 陆明红 姜玉英 刘万才 翟保平 谢茂昌 施伟韬 吕荣华 Hoang Anh Tuan Bui Xuan Phong | 2020 | 中国植保导刊2020，40，6： | 1 |
| 15 | Face recognition based on SVM and 2DPCA 显示文摘 | Le Thai Hoang Len Bui | 2011 | International Journal of Signal Processing2011，4，4： | 1 |
| 16 | All-trans retinoic acid inhibits KIT activity and induces apoptosis in gastrointestinal stromal tumor GIST-T1 cell line by affecting on the expression of survivin and Bax protein显示文摘 | Hoang TC Bui TK Taguchi T | 2010 | J Exp Clin Cancer Res2010，29，： | 1 |
| 17 | All-trans retinoic acid inhibits KIT activity and induces apoptosis in gastrointestinal stromal tumor GIST-T1 cell line by affecting on the expression of survivin and Bax protein显示文摘 | Hoang TC Bui TK Taguchi T | 2010 | J Exp Clin Cancer Res2010，29，： | 1 |
| 18 | Safety of performing fiberoptic bronchoscopy in critically ill hypoxemic patients with acute respiratory failure显示文摘 | Christophe Cracco Muriel Fartoukh Hélène Prodanovic Elie Azoulay Cécile Chenivesse Christine Lorut Ga?tan Beduneau Hoang Nam Bui Camille Taille Laurent Brochard Alexandre Demoule Bernard Maitre | 2012 | Intensive Care Medicine2012，，： | 1 |
| 19 | Novel Soft ComputingModel for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on the Bagging and Sibling of Extra Trees Models显示文摘This study considered and predicted blast-induced ground vibration(PPV)in open-pit mines using bagging and sibling techniques under the rigorous combination of machine learning algorithms.Accordingly,four machine learning algorithms,including support vector regression(SVR),extra trees(ExTree),K-nearest neighbors(KNN),and decision tree regression(DTR),were used as the base models for the purposes of combination and PPV initial prediction.The bagging regressor(BA)was then applied to combine these base models with the efforts of variance reduction,overfitting elimination,and generating more robust predictive models,abbreviated as BA-ExTree,BAKNN,BA-SVR,and BA-DTR.It is emphasized that the ExTree model has not been considered for predicting blastinduced ground vibration before,and the bagging of ExTree is an innovation aiming to improve the accuracy of the inherently ExTree model,as well.In addition,two empirical models(i.e.,USBM and Ambraseys)were also treated and compared with the bagging models to gain a comprehensive assessment.With this aim,we collected 300 blasting events with different parameters at the Sin Quyen copper mine(Vietnam),and the produced PPV values were also measured.They were then compiled as the dataset to develop the PPV predictive models.The results revealed that the bagging models provided better performance than the empirical models,except for the BA-DTR model.Of those,the BA-ExTree is the best model with the highest accuracy(i.e.,88.8%).Whereas,the empirical models only provided the accuracy from 73.6%–76%.The details of comparisons and assessments were also presented in this study. | Quang-Hieu Tran Hoang Nguyen Xuan-Nam Bui | 2023 | Computer Modeling in Engineering & Sciences2023，，3： | 1 |
| 20 | Morphological Change in the Northern Red River Delta,Vietnam显示文摘Coastal erosion has become a worldwide concern, typically in the densely populated Asian mega-river deltas. Severe coastal erosion in the southern Red River Delta(RRD) has been intensively studied. Coastal morphological change in the northern RRD was examined in detail through DEM(Digital Elevation Model) analysis based on time series of bathymetrical maps(1965–2004) and Landsat images(1975–2015) in this study. The results show that the northern RRD is featured by rapid coastal accretion in the past few decades, although suspended sediment flux has dropped by roughly 60% after the completeness of Hoa Binh Dam(HBD) in 1988 and relative sea level rose at 1.9 mm yr^(-1). However, accretion at the outer part of subtidal shoals and platforms was observed to slow down quickly or even turned into erosion in the last two decades. The resuspended sediments from the erosion zone can be transported landward to replenish the inner coastal zone, keeping the latter accretion in the near future to compensate for the sediment discharge decrease from the river. However, this lag effect should be terminated soon if other adverse effects go worse, e.g., damming rivers, sea-level rising, strengthening storms, land reclamation and other poor-designed coastal engineering. Coastal planners and managers should pay full attention to these changes. | BUI Vuong Van FAN Daidu NGUYEN Dac Ve TRAN Dinh Lan TRAN Duc Thanh HOANG Van Long NGUYEN Thi Hong Hanh | 2018 | Journal of Ocean University of China2018，17，6： | 0 |
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