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Acta Mathematica Sinica,English Series 2022年第12期38卷 2199-2219页

作者： nguyen Duc PHUONG Le Dinh LONG anh Tuan nguyen Dumitru BALEANU Faculty of Fundamental Science Industrial University of Ho Chi Minh CityVietnam Division of Applied Mathematics Science and Technology Advanced InstituteVanLang UniversityHoChi Minh CityVietnam Faculty of Technology Van Lang UniversityHo Chi Minh CityVietnam Department of Mathematics Cankaya UniversityAnkaraTurkey Lebanese AmericanUniversity BeirutLebanon Institute of Space Sciences Magurele-BucharestRomania

this paper is devoted to identifying an unknown source for a time-fractional diffusion equation in a general bounded ***,we prove the problem is non-well posed and the stability of the source ***,by using the Modified Fractional Landweber method,we present regularization solutions and show the convergence rate between regularization solutions and sought solution are given under a priori and a posteriori choice rules of the regularization parameter,***,we present an illustrative numerical example to test the results of our theory.

关键词： Source problem fractional pseudo-parabolic problem ill-posed problem convergence estimates regularization

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

The global COVID-19 vaccine surplus:tackling expiring stockpiles

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Infectious Diseases of Poverty 2023年第2期12卷 106-111页

作者： nguyen Khoi Quan nguyen Le My anh Andrew W.Taylor-Robinson College of Health Sciences VinUniversityGia Lam DistrictHanoi100000Vietnam Faculty of Medicine Imperial College LondonLondonSW72AZUK Center for Global Health Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA

Background A global surplus of coronavirus disease 2019(COVID-19)vaccines exists as a result of difficulties in aligning the demand and supply for vaccine manufacturing and *** leaders have accelerated vaccine development,approval,production and distribution as a pragmatic approach to addressing the immediate public health challenges of the first two and a half years of the *** body The currently predominant,highly transmissible Omicron variant of severe acute respiratory syndrome coronavirus 2 has brought us closer to the threshold required to achieve herd immunity by greatly increasing rates of natural ***,in parallel with rising vaccination levels in industrialized nations,this indirectly reduces the need for mass vaccine *** concerns that contribute to low vaccination rates which persist in several other countries,particularly of the Global South,are vaccine hesitancy and unequal access to *** uncertainty fueled by fake news,misinformation,unfounded lay opinions and conspiracy theories has inevitably led to an erosion of public trust in *** To address the current mismatch between supply and demand of COVID-19 vaccines,there should be a focus on three principles:decelerating vaccine production,increasing distribution across communities,and optimizing cost-effectiveness of distribution *** down and switching from large-scale production to effectively‘made to order’is a feasible option,which should be commensurate with management *** and evidence-based data should be widely and freely disseminated to the public through multimedia channels to mitigate miscommunication and conspiracy *** of soon-to-expire stockpiles should be prioritized not only to enhance booster dose rollouts in adults but to expand immunization campaigns to children(especially those aged 5–11 years),subject to national *** research should ideally aim to de

关键词： COVID-19 SARS-CoV-2 Omicron Vaccination Immunization Vaccine surplus Vaccine hesitancy Vaccine reluctance Vaccine inequity

An Analytical Approach for Nonlinear Buckling Analysis of Torsionally Loaded Sandwich Carbon Nanotube Reinforced Cylindrical Shells with Auxetic Core

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Advances in Applied Mathematics and Mechanics 2023年第2期15卷 468-484页

作者： Dang Thuy Dong nguyen thi Phuong Vu Hoai Nam Le Ngoc Ly nguyen van Tien Vu Minh Duc Tran Quang Minh Vu Tho Hung nguyen thi Huong Giang Faculty of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam Graduate School of Advanced Science and Engineering Hiroshima University1-4-1 KagamiyamaHigashi-HiroshimaHiroshima 739-8527Japan Faculty of Fundamental Science for Engineering University of Transport TechnologyHanoi 100000Vietnam

The main aim of this paper is to present an analytical approach on the postbuckling for torsionally loaded sandwich carbon nanotube(CNT)reinforced cylindrical shells with the auxetic *** considered shells consist of three layers,external and internal CNT reinforced layers,and the auxetic lattice core made by isotropic *** homogenization model for honeycomb auxetic lattice core is utilized,and the equilibrium equations are formulated based on the nonlinear Donnell’s thin shell theory with von Karman geometrical *** three terms of deflection are considered,the Airy’s stress function and Galerkin’s method are utilized,the explicit expression of critical buckling of torsionally loaded shells and load-deflection expression of postbuckling states are *** effects of two carbon nanotube reinforced layers,the auxetic core layer,the volume fraction of carbon nanotube on the torsional buckling behavior are examined and remarked.

关键词： Nonlinear postbuckling carbon nanotube reinforced composite cylindrical shell torsion auxetic core

Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1431-1449页

作者： nguyen Thanh Hoan nguyen van Dung Ho Le Thu Hoa Thuy Quynh Nadhir Al-Ansari Tran van Phong Phan Trong Trinh Dam Duc nguyen Hiep van Le Hanh Bich thi nguyen Mahdis Amiri Indra Prakash Binh Thai Pham Institute of Geography Vietnam Academy of Science and TechnologyHanoi10000Viet Nam Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Institute of Geological Sciences Vietnam Academy of Science and Technology(VAST)Dong DaHanoi10000Viet Nam University of Transport Technology Thanh XuanHa Noi10000Viet Nam Department of Watershed&Arid Zone Management Gorgan University of Agricultural Sciences&Natural ResourcesGorgan***Iran DDG(R)Geological Survey of India Gandhinagar382010India

Water level predictions in the river,lake and delta play an important role in flood *** year Mekong River delta of Vietnam is experiencing flood due to heavy monsoon rains and high *** subsidence may also aggravate flooding problems in this ***,accurate predictions of water levels in this region are very important to forewarn the people and authorities for taking timely adequate remedial measures to prevent losses of life and *** are so many methods available to predict the water levels based on historical data but nowadays Machine Learning(ML)methods are considered the best tool for accurate *** this study,we have used surface water level data of 18 water level measurement stations of the Mekong River delta from 2000 to 2018 to build novel time-series Bagging based hybrid ML models namely:Bagging(RF),Bagging(SOM)and Bagging(M5P)to predict historical water levels in the study *** of the Bagging-based hybrid models were compared with Reduced Error Pruning Trees(REPT),which is a benchmark ML *** data of 19 years period was divided into 70:30 ratio for the *** data of the period 1/2000 to 5/2013(which is about 70%of total data)was used for the training and for the period 5/2013 to 12/2018(which is about 30%of total data)was used for testing(validating)the *** of the models was evaluated using standard statistical measures:Coefficient of Determination(R2),Root Mean Square Error(RMSE)and Mean Absolute Error(MAE).Results show that the performance of all the developed models is good(R2>0.9)for the prediction of water levels in the study ***,the Bagging-based hybrid models are slightly better than another model such as ***,these Bagging-based hybrid time series models can be used for predicting water levels at Mekong data.

关键词： Computational techniques bagging water level time series algorithms

An improved CRNN for Vietnamese Identity Card Information Recognition

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Computer Systems Science & Engineering 2022年第2期40卷 539-555页

作者： Trinh Tan Dat Le Tran anh Dang nguyen Nhat Truong Pham Cung Le thien Vu Vu Ngoc Thanh Sang Pham thi Vuong Pham The Bao Information Science Faculty Sai Gon UniversityHCM City700000Vietnam Faculty of Electrical&Electronics Engineering University of TechnologyHCM City700000Vietnam

this paper proposes an enhancement of an automatic text recognition system for extracting information from the front side of the Vietnamese citizen identity(CID)***,we apply Mask-RCNN to segment and align the CID card from the ***,we present two approaches to detect the CID card’s text lines using traditional image processing techniques compared to the EAST ***,we introduce a new end-to-end Convolutional Recurrent Neural Network(CRNN)model based on a combination of Connectionist Temporal Classification(CTC)and attention mechanism for Vietnamese text recognition by jointly train the CTC and attention objective functions *** length of the CTC’s output label sequence is applied to the attention-based decoder prediction to make the final label *** process helps to decrease irregular alignments and speed up the label sequence estimation during training and inference,instead of only relying on a data-driven attention-based encoder-decoder to estimate the label sequence in long *** may directly learn the proposed model from a sequence of words without detailed *** evaluate the proposed system using a real collected Vietnamese CID card dataset and find that our method provides a 4.28%in WER and outperforms the common techniques.

关键词： Vietnamese text recognition OCR CRNN BLSTM attention mechanism joint CTC-Attention

Deep Reinforcement Learning Based Decision‑Making Strategy of Autonomous Vehicle in Highway Uncertain Driving Environments

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Automotive Innovation 2023年第3期6卷 438-452页

作者： Huifan Deng Youqun Zhao Qiuwei Wang anh‑Tu nguyen Department of Vehicle Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Laboratory LAMIH‑CNRS UMR 8201Universite Polytechnique Hauts-de-France59300 ValenciennesHauts‑de‑FranceFrance INSA Hauts-de-France 59300 ValenciennesFrance

Uncertain environment on multi-lane highway,e.g.,the stochastic lane-change maneuver of surrounding vehicles,is a big challenge for achieving safe automated highway *** improve the driving safety,a heuristic reinforcement learning decision-making framework with integrated risk assessment is ***,the framework includes a long short-term memory model to predict the trajectory of surrounding vehicles and a future integrated risk assessment model to estimate the possible driving ***,a heuristic decaying state entropy deep reinforcement learning algorithm is introduced to address the exploration and exploitation dilemma of reinforcement ***,the framework also includes a rule-based vehicle decision model for interaction decision problems with surrounding *** proposed framework is validated in both low-density and high-density traffic *** results show that the traffic efficiency and vehicle safety are both improved compared to the common dueling double deep Q-Network method and rule-based method.

关键词： Automated driving Decision making Uncertain driving environments Reinforcement learning Multi-lane traffic Integrated risk assessment

Hepatitis B vaccination status and associated factors among health science students

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Asian Pacific Journal of Tropical Medicine 2023年第5期16卷 213-219页

作者： Binh Thanh nguyen Lan Y Vo Tap van nguyen Minh Cong Vo Tinh Dang Pham Han thi Ngoc nguyen Lynda Boyer-Chu Giao Huynh Faculty of Medicine Tra Vinh UniversityTra Vinh CityTra Vinh ProvinceVietnam Faculty of Public Health University of Medicine and Pharmacy at Ho Chi Minh CityHo Chi Minh CityVietnam Faculty of Medical Management Nguyen Tat Thanh UniversityHo Chi Minh CityVietnam Department of Ear Nose Throat-Head and Neck Surgery FV hospitalHo Chi Minh CityVietnam Department of Anaesthesia and Intensive Care FV hospitalHo Chi Minh CityVietnam Infection Control Department University Medical Center Ho Chi Minh CityHo Chi Minh CityVietnam San Francisco Unified School District San FranciscoCaliforniaUSA

Objective:To evaluate hepatitis B virus(HBV)vaccine coverage and its associated factors among health science students in ***:this cross-sectional study involving 459 health science students at Tra Vinh University was conducted between April and June *** were collected using a structured questionnaire with items on sociodemographic characteristics,knowledge and attitude about HBV,and vaccination status.A multivariable logistic regression model was used to explore the factors associated with vaccination ***:The majority of participants were female(65.8%)and enrolled at the medical school(56.2%).A total of 30.3%participants received the full dose of the HBV *** percentages of participants with sufficient knowledge and positive attitudes toward HBV infection were 75.2%and 43.4%,*** was 11.8 times higher in sixth-year medical students than any healthcare student in their first-year[adjusted odds ratio(aOR)11.8,95%CI 3.1-45.1,P<0.001],and the coverage was also significant higher in those who had sufficient knowledge(aOR 2.0,95%CI 1.1-3.9,P<0.05)and positive attitudes(aOR 3.0,95%CI 1.9-4.8,P<0.05)than in their ***:The majority of students were not fully vaccinated against HBV,indicating they were vulnerable to the *** and authorities should reinforce health education messages aimed at encouraging all students to get vaccinated with the HBV vaccine,enhance their awareness and knowledge of HBV,and improve attitudes toward HBV infection prevention.

关键词： Hepatitis B Knowledge Attitude Practice Vaccination Students

An Integrated and Comprehensive Fuzzy Multi-Criteria Model for Electronic Wallet Selection

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Computers, Materials & Continua 2023年第1期74卷 2279-2301页

作者： Phuoc van nguyen Faculty of Business Administration Posts and Telecommunications Institute of Technology(PTIT)Ho Chi Minh City700000Vietnam

Electronic wallet(E-wallet),which combines software,hardware,and human interaction,is a modern platform for electronic *** services managers can create more effective strategies for advancing existing positions by evaluating the success of e-wallet *** objective of this research is to create an integrated model for assessing E-wallet services using the Fuzzy Analytic Hierarchy Process(FAHP)in conjunction with a technique for extent analysis and the ARAS approach(Additive Ratio Assessment).In this study,E-wallet service providers are ranked and evaluated using the ARAS approach and the FAHP priority *** addition,a case study from Vietnam illustrates how the methodology is *** data shows that perceived usefulness,perceived usability,perceived simplicity of use,and perceived threat have the least impact on how acceptable an Ewallet *** a result,the suggested model improves the efficiency of E-wallet service operations and assists in overcoming the challenges associated with the evaluation of E-wallet *** case finding demonstrates that the suggested model is a reliable and useful tool for making decisions when assessing E-wallet service providers functioning in a complex and changing environment.

关键词： Financial services provider E-wallet adoption fuzzy AHP ARAS

Anti-inflammatory effects of Solanum procumbens on a low dose complete Freund's adjuvant-induced arthritis rat model

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Asian Pacific Journal of Tropical Biomedicine 2023年第5期13卷 214-221页

作者： Xuan-Hai Do Trong Nghia nguyen Thanh Chung Dang thi Thanh Mai nguyen Trung Nhan nguyen van Nhat Truong Do Huu Tho Le Xuan Hai nguyen Hoang Phu Dang Giang-Linh nguyen Dinh-Khanh Hoang van-Quan Le van-Mao Can Department of Practical and Experimental Surgery Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Reconstructive and Microsurgery Craniofacial and Reconstructive Surgery CentreMilitary Central Hospital 108Hanoi 10000Vietnam Department of Anatomic Pathology Military Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Faculty of Chemistry University of ScienceVietnam National University Ho Chi Minh CityHo Chi Minh City 70000Vietnam Faculty of Medicine University of Medicine and PharmacyVietnam National UniversityHanoi 10000Vietnam Department of Ultrasound Imaging Diagnostics CentreMilitary Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Functional Diagnostics Military Hospital 103Vietnam Military Medical UniversityHanoi 10000Vietnam Department of Pathophysiology Vietnam Military Medical UniversityHanoi 10000Vietnam

Objective:To investigate the anti-inflammatory and analgesic effects of Solanum procumbens on complete Freund’s adjuvantinduced arthritis rat ***:We isolated and identified five compounds in the ethanolsoluble Solanum procumbens extract(SP)with anti-inflammatory effects,including ursolic acid,β-sitosterol,hexadecanoic acid,cisvaccenic acid,and vanillic ***,we investigated the anti-inflammatory effects of SP on rheumatoid arthritis symptoms,including paw volumes,local temperatures,withdrawal latency,and mechanical withdrawal threshold at the hind paw and white blood cell(WBC)number from complete Freund’s adjuvant-induced arthritis rat ***:We have successfully established a complete Freund’s adjuvant-induced arthritis rat model at a low dose(1 mg/mL).SP extract significantly reduced paw volumes(P<0.05),prolonged withdrawal latencies(P<0.05),decreased local temperature,and increased the mechanical withdrawal threshold(P<0.05),but only SP extract at the dose of 300 mg/kg significantly decreased WBC ***:SP extract could be a potential medication candidate with anti-inflammatory effects for arthritis,but it requires further investigation into the mechanism of the SP and its effectiveness on other models as well as clinical trials.

关键词： Solanum procumbens Arthritis Anti-inflammation Complete Freund's adjuvant Rats