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Journal of Traffic and transportation Engineering(English Edition) 2019年第6期6卷 621-630页

作者： thanh Chung Do Van Phuc tran Van Phuc Le Hyun Jong Lee Won Jae Kim Department of Civil and Environmental Engineering Sejong UniversitySeoul 143-747South Korea Faculty of Civil Engineering University of Transport and CommunicationsHo Chi Minh CityVietnam

In this study,mechanical characteristics of tensile strength ratio(TSR)were evaluated by comparing it to other methods in evaluating moisture sensitivity of asphalt *** types of asphalt mixtures with and without anti-stripping additives were prepared and tested in the *** compressive strength(UCS)and indirect tensile(IDT)testing were conducted to determine the mixture’s tensile strength ratio and cohesion ratio(CR).Determining TSR alone was found to be insufficient when evaluating moisture *** is a need to consider both TSR and wet IDT strength to properly evaluate moisture behavior of asphalt ***,it was found that the cohesion and the IDT strength have a good relation in which the minimum condition of the slope,must be ***,it was observed thatβvalues change depending on material type and ***,there is a need to evaluate theseβvalues for varying material and testing *** addition,it was found that the TSR and CR results are highly correlated with an average difference of 1.5%.Furthermore,other tests such as Marshall stability and dynamic immersion were also *** was found that Marshall stability ratio(MSR)and Marshall stability to flow ratio(MSFR)values are less sensitive to moisture effect when measuring moisture resistance compared to TSR ***,the 48 h testing result of the dynamic immersion test showed better correlation with TSR values.

关键词： Asphalt mixtures Moisture damage Anti-stripping additives Tensile strength ratio Cohesion strength ratio

Effectiveness of bee venom acupuncture for patients suffering from periarthritis humeroscapularis

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中医杂志:英文版 2023年第4期43卷 795-800页

作者： Minh Duc Nguyen thanh Van tran Quoc Vinh Nguyen Cay Doan Ha Linh Vu Phuong Dang Senior Specialist Clinic National Hospital of AcupunctureHanoi 1000Vietnam Department of Senior Specialist National Hospital of Acupuncture Hanoi 1000Vietnam Department of Senior Specialist Military Institute of Traditional MedicineHanoi 1000Vietnam Department of minimally invasive spine National Hospital of AcupunctureHanoi 1000Vietnam Department of Medicine Dai Nam UniversityHanoi 1000Vietnam

OBJECTIVE:To evaluate the efficacy of bee venom acupuncture in humeroscapularis(PHS)***:One hundred and twenty patients diagnosed with PHS were assigned into four groups:BV1(0.01 mg/kg),BV2(0.005 mg/kg),BV3(0.0025 mg/kg),and control group(vitamin B1 plus novocain 3%injection)with 15 d of *** outcomes of the study including visual analogue scale(VAS)score andβ-endorphin,inflammatory cytokines including interleukin-10(IL-10),IL-1βand tumor necrosis factorα(TNF-α)and shoulder function score were assessed at baseline,after 10 and 15 d of ***:All four groups reported statistically significant improvement in VAS score,motion range,and shoulder function score(P<0.01),only the BV3 group showed significant increase of anti-inflammatory(IL-10)and decrease of pro-inflammatory(IL-1β,TNF-α)cytokines after treatment(P<0.05).The BV3 group presented a significant difference between all outcomes compared to the control and other ***:BV3 groups showed better recovery including reduced pain,improved motor function and normalized inflammatory cytokines than current therapy used in Vietnam and other groups.

关键词： periarthritis humeroscapularis bee venom acupuncture visual analogue scale range of motion articular shoulder function score inflammatory cytokines

Atomic Heterointerface Engineering of Nickel Selenide Confined Nickel Molybdenum Nitride for High-Performance Solar-Driven Water Splitting

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Energy & Environmental Materials 2023年第2期6卷 397-407页

作者： Jingqiang Wang Duy thanh tran Kai Chang Sampath Prabhakaran Do Hwan Kim Nam Hoon Kim Joong Hee Lee Department of Nano Convergence Engineering Jeonbuk National UniversityJeonjuJeonbuk 54896Korea Division of Science Education Graduate School of Department of Energy Storage/Conversion EngineeringJeonbuk National UniversityJeonjuJeonbuk 54896Korea Carbon Composite Research Center Department of Polymer-Nano Science and TechnologyJeonbuk National UniversityJeonjuJeonbuk 54896Korea

A heterostructured electrocatalyst of small NiSe_(2) nanoparticles confined NiMoN nanorods(NiSe_(2)-NPs/NiMoN-NRs)is prepared to accelerate both the hydrogen evolution reaction(HER)and oxygen evolution reaction(OER)in a same alkaline *** synergistic effects caused by the combination of merits derived from NiSe_(2) and NiMoN phases trigger an optimum electronic structure with high density of state at near Fermi level and enhance adsorption free energy,thereby resulting in excellent catalytic activities and strengthened working *** catalyst requires a low overpotential of 58 mV for HER and 241 mV for OER to reach 10 mA cm^(−2) in 1.0 M KOH electrolyte.A twoelectrode electrolyzer based on the developed catalyst shows outstanding cell voltage of 1.51 and 1.46 V to reach 10 mA cm^(−2) in 1.0 M and 30 wt%KOH solution at 25℃ for overall water splitting,*** addition,the solardriven water splitting process delivers a high solar-to-H_(2) conversion efficiency of∼18.4%,impressively unveiling that the developed bifunctional catalyst is highly potential for overall water splitting to produce green hydrogen fuel.

关键词： Bifunctional electrocatalyst Novel NiSe_(2)/NiMoN heterostructures Solardriven water splitting Synergistic effects

Some problems on the research and development of the application of methane draining boring technology to prevent hazards in underground coal mines in Vietnam

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Journal of Coal Science & Engineering(China) 2009年第2期15卷 129-133页

作者： NGUYEN xuan-Thao NGUYEN tran-Tuan tran Dinh-Kien Institute of Mining Science and Technology University of Mining and Geology

Underground coal mining activities in the Quangninh coal basin (in the North ofVietnam) have been carried out at a depth of-130 m to-150 m,and in the near future thismining depth will become-300 m and-500 *** with the increasing coal output,the quantity of methane and other mine gases emitted from coal beds during mining activitieswill grow bigger and *** to the forecast of the coal mining industry,ifmines go deeper downward,all underground coal mines in the Quangninh basin will beclassified into the mine group with the dangerous level of methane *** gascontrol and management operations with conventional ventilation are less effective andentail high *** of the main solutions is to carry out short,medium and longboreholes for controlling and recovering methane and other mine gases from coal bedsbefore mining *** of drilling activities for methane gas recovery from coalseams with horizontal bore holes at underground coal mines depends on many factors includingthe mine gas draining borehole layout at the roadways,gas content in the coalbeds,technologies for mine gas draining boring activities,and so *** gas existsin the coal beds under the adhesive state with stable physical and chemical *** orderto recover these gases,it is necessary to carry out boreholes and create artificial joints(collecting pits) in coal beds with the impulse method (hydraulic separation method).

关键词： problems methane draining bodng technology Vietnam

Synthesis of cation exchange resin-supported iron and magnesium oxides/hydroxides composite for nitrate removal in water

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Chinese Journal of Chemical Engineering 2021年第4期34卷 378-384页

作者： Trung thanh Nguyen Vu Anh Khoa tran Le Ba tran Phuoc Toan Phan Minh Tan Nguyen Long Giang Bach Surapol Padungthon Cong Khiem Ta Nhat Huy Nguyen Nanomaterial Laboratory An Giang University18 Ung Van Khiem St.Dong Xuyen DistLong Xuyen CityAn Giang ProvinceViet Nam Vietnam National University Ho Chi Minh City Linh Trung WardThu Duc DistrictHo Chi Minh CityViet Nam Faculty of Natural Resources and Environment Ho Chi Minh City University of Technology(HCMUT)268 Ly Thuong Kiet St.Dist.10Ho Chi Minh CityViet Nam Faculty of Engineering-Technology-Environment An Giang University18 Ung Van Khiem StDong Xuyen DistLong Xuyen CityAn Giang ProvinceViet Nam Department of Scientific Research and International Relation Bac Lieu University178 Vo Thi Sau St.Ward 8Bac Lieu CityBac Lieu ProvinceViet Nam NTT Institute of High Technology Nguyen Tat Thanh University298-300A Nguyen Tat ThanhHo Chi Minh CityViet Nam Department of Environmental Engineering Khon Kaen University123 Moo 16 Mittraphap Rd.Nai-MuangMuang DistrictKhon Kaen 40002Thailand

In this study,we reported on the concept and practical use of cation exchange resin(CER)for removing anions in water via pretreating the CER with metal *** cation exchange resinsupported iron and magnesium oxides/hydroxides composite(FeMg/CER)was synthesized and introduced as a new and potential adsorbent for selective removal of nitrate ion in the water *** of FeMg/CER were determined by techniques such as Fouriertransform infrared spectroscopy,scanning electron microscopy,and Xray *** results showed that FeMg/CER material had a high nitrate adsorption capacity of 200 mg NO_(3)^()·g^(1)with a fast equilibrium adsorption time of 30 min at pH *** addition,it had good durability of at least 10 times of regeneration,which could be applied to practical water and wastewater treatment.

关键词： Iron oxide/hydroxide Magnesium oxide/hydroxide Cation exchange resin Adsorption Environment Nanomaterials

Forecasting Damage Mechanics By Deep Learning

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Computers, Materials & Continua 2019年第9期61卷 951-977页

作者： Duyen Le Hien Nguyen Dieu Thi thanh Do Jaehong Lee Timon Rabczuk Hung Nguyen-xuan CIRTech Institute Ho Chi Minh City University of Technology(HUTECH)Ho Chi Minh CityVietnam Department of Architectural Engineering Sejong University209 Neungdong-roGwangjin-guSeoulKorea Institute of Structural Mechanics Bauhaus-Universität Weimar99423WeimarGermany Department of Physical Therapy Graduate Institute of Rehabilitation ScienceChina Medical UniversityTaichung40402Taiwan

We in this paper exploit time series algorithm based deep learning in forecasting damage mechanics *** methodologies that are able to work accurately for less computational and resolving attempts are a significant demand *** on learning an amount of information from given data,the long short-term memory(LSTM)method and multi-layer neural networks(MNN)method are applied to predict *** examples are implemented for predicting fracture growth rates of L-shape concrete specimen under load ratio,single-edge-notched beam forced by 4-point shear and hydraulic fracturing in permeable porous media problems such as storage-toughness fracture regime and fracture-height growth in Marcellus *** predicted results by deep learning algorithms are well-agreed with experimental data.

关键词： Damage mechanics time series forecasting deep learning long short-term memory multi-layer neural networks hydraulic fracturing

New urban map of Eurasia using MODIS and multi-source geospatial data

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Geo-Spatial Information Science 2017年第1期20卷 29-38页

作者： Bayan Alsaaideh Ryutaro Tateishi Dong xuan Phong Nguyen thanh Hoan Ahmad Al-Hanbali Bai Xiulian Center for Environmental Remote Sensing(CEReS) Chiba UniversityChibaJapan COPRONA Inc.International Consulting Company Vung TauVietnam Institute of Geography Vietnamese Academy of Science and Technology(VAST)HanoiVietnam Geosphere environmental technology corp. tokyoJapan

Urban areas are of paramount significance to both the individuals and communities at local and regional ***,the rapid growth of urban areas exerts effects on climate,biodiversity,hydrology,and natural ecosystems ***,regular and up-to-date information related to urban extent is necessary to monitor the impacts of urban areas at local,regional,and potentially global *** study presents a new urban map of Eurasia at 500 m resolution using multi-source geospatial data,including Moderate Resolution Imaging Spectroradiometer(MODIS)data of 2013,population density of 2012,the Defense Meteorological Satellite Program’s Operational Linescan System(DMSP-OLS)nighttime lights of 2012,and constructed Impervious Surface Area(ISA)data of *** Eurasian urban map was created using the threshold method for these data,combined with references of fine resolution Landsat and Google Earth *** resultant map was compared with nine global urban maps and was validated using random sampling *** of the accuracy assessment showed high overall accuracy of the new urban map of 94%.This urban map is one product of the 20 land cover classes of the next version of Global Land Cover by National Mapping Organizations.

关键词： Urban area mapping population density MODIS data integration accuracy assessment eurasia

A Study on Modelling Surface Finish in Electrical Discharge Machining Tablet Shape Punches Using Response Surface Methodology

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Journal of Environmental Science and Engineering(B) 2017年第7期6卷 387-390页

作者： Le xuan Hung tran thanh Hoang Vu Ngoc Pi Mechanical Engineering Faculty Thai Nguyen University of Technology Thai Nguyen 23000 Vietnam Center for Technical Practice Thai Nguyen University of Technology Thai Nguyen 23000 Vietnam

This paper introduces a study on modelling surface finish in EDM （Electrical Discharge Machining） of tablet shape punches when using copper as electrode material. In this study, 27 experiments were performed based on BBD （Box-Behnken Design） and the work-piece material was 9CrSi steel. The input process parameters were the current, the pulse on time, the pulse off time and the voltage. The effects of the input parameters on the surface finish were evaluated by analysing variance. Besides, from the results of the experiments, a regression equation for determining the surface roughness is introduced. Also, the optimum input parameter values were found in order to get the minimum surface roughness.

关键词： EDM (Electrical Discharge Machining) EDM sinking surface roughness RSM (Response Surface Methodology) BBD(Box-Behken Design).

Polygonal Finite Element for Two-Dimensional Lid-Driven Cavity Flow

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Computers, Materials & Continua 2022年第3期70卷 4217-4239页

作者： T.Vu-Huu C.Le-thanh H.Nguyen-xuan M.Abdel-Wahab Faculty of Civil Engineering Vietnam Maritime University484 Lach Tray Str.Hai PhongVietnam Faculty of Civil Engineering and Electricity Ho Chi Minh City Open UniversityVietnam CIRTech Institute Ho ChiMinh City University of Technology(HUTECH)Ho Chi Minh CityVietnam Department of Architectural Engineering Sejong University209 NeungdongroGwangjinguSeoul05006Republic of Korea Soete Laboratory Faculty of Engineering and ArchitectureGhent UniversityTechnologiepark Zwijnaarde903B-9052ZwijnaardeBelgium

This paper investigates a polygonal finite element(PFE)to solve a two-dimensional(2D)incompressible steady fluid problem in a cavity *** is a well-known standard benchmark(i.e.,lid-driven cavity flow)-to evaluate the numerical methods in solving fluid problems controlled by the Navier-Stokes(N-S)equation *** approximation solutions provided in this research are based on our developed equal-order mixed PFE,called *** is an exciting development based on constructing the mixed scheme method of two equal-order discretisation spaces for both fluid pressure and velocity fields of flows and our proposed stabilisation *** this research,to handle the nonlinear problem of N-S,the Picard iteration scheme is *** proposed method’s performance and convergence are validated by several simulations coded by commercial software,i.e.,*** this research,the benchmark is executed with variousReynolds numbers up to the maximum Re=*** results then numerously compared to available sources in the literature.

关键词： Lid-driven cavity incompressible steady Navier-Stokes equations polygonal finite element method

A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area

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Big Earth Data 2023年第4期7卷 1005-1034页

作者： thanh Trinh Binh thanh Luu trang Ha Thi Le Duong Huy Nguyen Trong Van tran Thi Hai Van Nguyen Khanh Quoc Nguyen Lien Thi Nguyen Faculty of Computer Science Phenikaa UniversityYen NghiaHa DongHanoi 12116Vietnam Phenikaa Research and Technology Institute(PRATI) A&A Green Phoenix Group JSCNo.167 Hoang NganTrung HoaCau GiayHanoi 11313Vietnam Northwestern Geological Division General Department of Geology and Minerals of VietnamHanoiVietnam Youth union office Thuyloi University175 Tay SonDong DaHanoiVietnam Center of Remote Sensing and Geohazards Vietnam Institute of Geosciences and Mineral ResourcesHanoiVietnam

Landslide susceptibility maps (LSMs) are very crucial for planningpolicies in hazardous areas. However, the accuracy and reliability ofLSMs depend on available data and the selection of suitable *** study is conducted to produce LSMs by combinations of machinelearning methods and weighting techniques for Ha Giang province,Vietnam, where has limited data. In study area, we gather 11 landslideconditioning factors and establish a landslide inventory *** the weights of classes (or factors) is very important toprepare data for machine learning methods to generate LSMs. Wefrst use frequency ratio (FR) and analytic hierarchy process (AHP)techniques to generate the weights. Then, random forest (RF), supportvector machine (SVM), logistic regression (LR), and AHP methods arecombined with FR and AHP weights to yield accurate and reliableLSMs. Finally, the performance of these methods is evaluated by fivestatistical metrics, ROC and R-index. The empirical results have shownthat RF is the best method in terms of R-index and the five metrics, *** rate (0.9661), FP rate (0.0), ACC (0.9835), MAE (0.0046), and RMSE(0.0350) for this study area. This study opens the perspective of weightbasedmachine learning methods for landslide susceptibility mapping.

关键词： Landslide logistic regression random forest SvM Vietnam