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Economic Sustainability Assessment of Groundwater Resources： Case Study of Hanoi, Vietnam

Journal of Environmental Science and Engineering(B) 2017年第12期6卷 624-633页

作者： nuong thi bui Akira Kawamura Hideo Amaguchi Duong Du bui Ngoc Tu Truong Hoang Nam Nguyen Department of Civil and Environmental Engineering Tokyo Metropolitan University Tokyo 192-0397 Japan Water Resources Monitoring Department National Center for Water Resources Planning and Investigation Hanoi 100000 Vietnam The State Key Laboratory of Bioreactor Engineering East China University of Science & Technology Shanghai 200237 China Faculty of Urban and Environmental Natural Resource Economics & Management National Economics University Hanoi Vietnam

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The cross-section for the γe-→Ze-→l-l+e- scattering at the LHeC

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Chinese Physics C 2023年第2期47卷 82-87页

作者： bui thi Ha Giang Hanoi National University of Education 136 Xuan ThuyHanoiVietnam

A measurement of the Z production cross-section in γe^(-) collisions at the Large Hadron^(-)electron Collider(LHeC) is presented for comparison to that at the International Linear Collider(ILC).The total cross-section depends strongly on the polarization of the initial and final e^(-)beams and the electron beam energy Ee;the energy of the proton beam was set to E_(p)=7 *** results show that the total cross^(-)section in γe^(-)→Ze^(-)→l^(-)l+e^(-) at the LHeC is much larger than that at the ILC.

关键词： Z production cross-section LHeC

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Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network:A Case Study of Vietnam

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2219-2241页

作者： Huong thi Thanh Ngo Nguyen Duc Dam Quynh-Anh thi bui Nadhir Al-Ansari Romulus Costache Hang Ha Quynh Duy bui Sy Hung Mai Indra Prakash Binh Thai Pham University of Transport Technology Hanoi100000Vietnam Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Departement of Geodesy and Geomatics National University of Civil EngineeringHanoi100000Vietnam Faculty of Hydraulic Engineering National University of Civil EngineeringHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Flash floods are one of the most dangerous natural disasters,especially in hilly terrain,causing loss of life,property,and infrastructures and sudden disruption of *** types of floods are mostly associated with landslides and erosion of roads within a short *** of Vietnamis hilly and mountainous;thus,the problem due to flash flood is severe and requires systematic studies to correctly identify flood susceptible areas for proper landuse planning and traffic *** this study,three Machine Learning(ML)methods namely Deep Learning Neural Network(DL),Correlation-based FeatureWeighted Naive Bayes(CFWNB),and Adaboost(AB-CFWNB)were used for the development of flash flood susceptibility maps for hilly road section(115 km length)of National Highway(NH)-6 inHoa Binh province,*** the proposedmodels,88 past flash flood events were used together with 14 flash floods affecting topographical and geo-environmental *** performance of themodels was evaluated using standard statisticalmeasures including Receiver Operating Characteristic(ROC)Curve,Area Under Curve(AUC)and Root Mean Square Error(RMSE).The results revealed that all the models performed well(AUC>0.80)in predicting flash flood susceptibility zones,but the performance of the DL model is the best(AUC:0.972,RMSE:0.352).Therefore,the DL model can be applied to develop an accurate flash flood susceptibility map of hilly terrain which can be used for proper planning and designing of the highways and other infrastructure facilities besides landuse management of the area.

关键词： Flash flood deep learning neural network(DL) machine learning(ML) receiver operating characteristic curve(ROC) Vietnam

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Combining SnO_(2-x)and g-C_(3)N_(4)nanosheets toward S-scheme heterojunction for high selectivity into green products of NO degradation reaction under visible light

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Journal of Materiomics 2022年第1期8卷 1-8页

作者： Pham Van Viet Thanh-Dat Nguyen Dai-Phat bui Cao Minh thi Faculty of Materials Science and Technology University of ScienceVNU-HCM227 Nguyen Van Cu StreetDistrict 5Ho Chi Minh City700000Viet Nam Vietnam National University-Ho Chi Minh City Thu Duc DistrictHo Chi Minh City700000Viet Nam Ho Chi Minh City University of Technology(HUTECH) 475A Dien Bien Phu StreetBinh Thanh DistrictHo Chi Minh City700000Viet Nam

NOx emissions cause many negative impacts on the living *** photocatalysis of semiconductors is superior for nitric oxide(NO)degradation due to their low redox *** this report,we combine SnO_(2-x)/g-C_(3)N_(4)heterojunction photocatalyst toward the high selectivity into green products under visible light *** show that SnO_(2-x)/g-C_(3)N_(4)heterojunction degraded 40.8%of NO,which is 1.6 times higher than that of g-C_(3)N_(4).In addition,the selectivity coefficient of SnO_(2-x)/g-C_(3)N_(4)is higher 3 times than both pure SnO_(2-x)and g-C_(3)N_(4).Furthermore,SnO_(2-x)/g-C_(3)N_(4)expresses a superior stability for NO photocatalytic-degradation after five *** scavenger trapping test results,and electron spin resonance(ESR)analysis also provide more understanding of the charge transfer mechanism of ***_(2-x)/g-C_(3)N_(4)heterojunction shows a high removal efficiency of NO gas,making it an up-and-coming environmental treatment candidate.

关键词： G-C_(3)N_(4) NO removal Oxygen vacancies Photocatalysis S-scheme

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The observed analysis on the wave spectra of Hurricane Juan (2003)

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Acta Oceanologica Sinica 2014年第11期33卷 112-122页

作者： XU Fumin bui thi Thuy Duyen PERRIE Will Key Laboratory of Coastal Disaster and Defense Ministry of EducationCollege of HarbourCoastal and Offshore EngineeringHohai University Fisheries & Oceans Canada Bedford Institute of Oceanography

Hurricane Juan provides an excellent opportunity to probe into the detailed wave spectral patterns and spectral parameters of a hurricane system, with enough wave spectral observations around Juan＇s track in the deep ocean and shallow coastal water. In this study, Hurricane Juan and wave observation stations around Juan＇s track are introduced. Variations of wave composition are discussed and analyzed based on time series of one-dimensional frequency spectra, as well as wave steepness around Juan＇s track： before, during, and after Juan＇s passing. Wave spectral involvement is studied based on the observed one-dimensional spectra and two-dimensional spectra during the hurricane. The standardization method of the observed wave spectra during Hurricane Juan is discussed, and the standardized spectra show relatively conservative behavior, in spite of the huge variation in wave spectral energy, spectral peak, and peak frequency during this hurricane. Spectral widths＇ variation during Hurricane Juan are calculated and analyzed. A two-layer nesting WW3 model simulation is applied to simulate the one-dimensional and two-dimensional wave spectra, in order to examine WW3＇s ability in simulating detailed wave structure during Hurricane Juan.

关键词： Hurricane Juan wave spectra wave steepness spectral width WW3

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Utilization and Satisfaction with HIV Services at 7 Provinces in Vietnam: A Cross-Sectional Study

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World Journal of AIDS 2022年第2期12卷 65-82页

作者： Le Bao Chau Pham thi Huyen Chang Duong Minh Duc Hoang Van Minh Luu Quoc Toan bui thi Tu Quyen Le thi Vui bui thi Thu Ha Hanoi University of Public Health Hanoi Vietnam

The study was carried out to determine utilization and satisfaction with essential HIV services from HIV individuals and high-risk populations in 7 socioeconomic provinces nationwide. A cross-sectional approach was applied in the study. Data were collected through face-to-face interviews using self-report questionnaires. Findings from 2380 respondents indicated a high percentage of utilization as well as a high level of satisfaction, in particular among men who have sex with men (MSM) and female sex worker (FSW) sub-group. Needle, syringe, and condom programs had lower usage and satisfaction mean scores in comparison with other services. The proportion of people who used drugs (PWID) and participated in the needle and syringe program was 53.6%. HIV counseling and testing uptake proportion of overall respondents in the last 12 months was 82.2% while the rate of antiretroviral treatment among infected PWID was 74.9%. The level of satisfaction with treatment services was found to be higher than preventive interventions (p < 0.05). Analysis using univariable logistic regression suggested an association between some socioeconomic factors such as income, employment, educational attainment, and marital status with subjects’ satisfaction with several HIV services. Preventive services, especially needle, syringe and condom programs should be prioritized to scale up the coverage and effectiveness. Innovative approaches targeting at PWID should be promoted to increase their access to prevention programs as well as HIV care when needed.

关键词： HIV Service Utilization Satisfaction

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Energy-efficient cell-association bias adjustment algorithm for ultra-dense networks

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Science China(Information Sciences) 2018年第2期61卷 100-114页

作者： Wenxiang ZHU Pingping XU thi Oanh bui Guilu WU Yan YANG National Mobile Communications Research Laboratory Southeast University Department of Electronic and Electrical Engineering Bengbu University

In recent years, energy efficiency has become an important topic, especially in the field of ultradense networks(UDNs). In this area, cell-association bias adjustment and small cell on/off are proposed to enhance the performance of energy efficiency in UDNs. this is done by changing the cell association relationship and turning off the extra small cells that have no users. However, the variety of cell association relationships and the switching on/off of the small cells may deteriorate some users’ data rates, leading to nonconformance to the users’ data rate requirement. Considering the discreteness and non-convexity of the energy efficiency optimization problem and the coupled relationship between cell association and scheduling during the optimization process, it is difficult to achieve an optimal cell-association bias. In this study, we optimize the network energy efficiency by adjusting the cell-association bias of small cells while satisfying the users’ data rate requirement. We propose an energy-efficient centralized Gibbs sampling based cell-association bias adjustment(CGSCA) algorithm. In CGSCA, global information such as channel state information, cell association information, and network load information need to be collected. Then, considering the overhead of the messages that are exchanged and the implementation complexity of CGSCA to obtain the global information in UDNs, we propose an energy-efficient distributed Gibbs sampling based cell-association bias adjustment(DGSCA) algorithm with a lower message-exchange overhead and implementation *** DGSCA, we derive the updated formulas for calculating the number of users in a cell and the users’ SINR. We analyze the implementation complexities(e.g., computation complexity and communication complexity) of the proposed two algorithms and other existing algorithms. We perform simulations, and the results show that CGSCA and DGSCA have faster convergence speed, as well as a higher performance gain o

关键词： ultra-dense networks cell-association bias energy efficiency Gibbs sampling users’ data rate constraint

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Dam deformation analysis based on BPNN merging models

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Geo-Spatial Information Science 2018年第2期21卷 149-157页

作者： Jingui Zou Kien-Trinh thi bui Yangxuan Xiao Chinh Van Doan School of Geodesy and Geomatics Wuhan UniversityWuhanChina Geomatics Centre Thuyloi UniversityHanoiVietnam Institute of Technique Special Engineering Le Quy Don Technical UniversityHanoiVietnam

Hydropower has made a significant contribution to the economic development of Vietnam,thus it is important to monitor the safety of hydropower dams for the good of the country and the *** this paper,dam horizontal displacement is analyzed and then forecasted using three methods:the multi-regression model,the seasonal integrated auto-regressive moving average(SARIMA)model and the back-propagation neural network(BPNN)merging *** monitoring data of the Hoa Binh Dam in Vietnam,including horizontal displacement,time,reservoir water level,and air temperature,are used for the *** results indicate that all of these three methods can approximately describe the trend of dam deformation despite their different forecast ***,their short-term forecasts can provide valuable references for the dam safety.

关键词： Dam deformation analysis multi-regression model Back-propagation Neural Network(BPNN) Seasonal Integrated Auto-regressive Moving Average(SARIMA)model merging model

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Climate change and groundwater resources in Mekong Delta, Vietnam

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Journal of Groundwater Science and Engineering 2017年第1期5卷 76-90页

作者： Duong D bui Nghia C Nguyen nuong T bui Anh T T Le Dao T Le National Center for Water Resources Planning and Investigation MONRE Vietnam Tokyo Metropolitan University Japan Center for Environmental Fluid Dynamics Hanoi University of Science Vietnam

Groundwater resources have considerable influences on the human population and socioeconomic development of Vietnam and the Mekong River Delta(MRD). this paper presents an overview of the relationship between climate change and groundwater in the MRD, including the challenges, strategies and technical measures. Our results showed that groundwater levels are related to other climate and hydrological variables(i.e., rainfall, river levels, etc.); therefore, the impacts of climate change on the groundwater resources of the Mekong delta are significant, especially on groundwater recharge. Based on the results of this study, it is recommended that groundwater development in the future should focus on reducing groundwater harvesting, enhancing groundwater quantity by establishing artificial works and exploiting surface water. this study suggests that the Artificial Neural Network(ANN) model is an effective tool for forecasting groundwater levels in periods of 1 month and 3 months for aquifers in the natural and tidal regime areas of the delta.

关键词： Groundwater management Climate change ANN model Mekong River Delta

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Synthesis and Characterization of LiAlO<sub>2</sub>for Passive Dosimetry

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World Journal of Nuclear Science and Technology 2022年第1期12卷 21-27页

作者： Nguyen thi Thu Ha Trinh Van Giap bui Duc Ky Institute for Nuclear Science and Technology Vietnam Atomic Energy Institute Hanoi Vietnam

Lithium aluminate (LiAlO2) powder was synthesized by sol-gel with EDTA method. The resultant powders were characterized by X-Ray Diffraction (XRD) and Scanning Electronic Microscopy (SEM) techniques. In addition, several thermoluminescence properties of synthesized LiAlO2 powder were reported. The results from X-ray diffraction (XRD), the powder prepared by sol-gel with EDTA method showed pure γ-phase when it was calcined at >900°C. Scanning electron microscopy (SEM) results show that the size of the lithium aluminate particles depended strongly on calcination temperature. The linearity is observed of synthesized LiAlO2 powder by sol-gel with EDTA with regression coefficient (R2) is 0.9971.

关键词： LiAlO2 XRD SEM TL Response

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