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An Empirical Exploration of the Capabilities of People with Disabilities in Coping with Disasters

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International Journal of Disaster Risk Science 2020年第5期11卷 602-614页

作者： khanh That Ton JC Gaillard Carole Adamson Caglar Akgungor ha Thanh Ho School of Environment The University of AucklandAuckland 1010New Zealand Unit for Environmental Sciences and Management North-West UniversityPotchefstroomSouth Africa School of Counselling.Human Services and Social Work The University of AucklandAuckland 1010New Zealand Resilience Advisors Network Dublin 4 D04 ED73Ireland Centre for Climate Change Study in Central Vietnam Hue University of Agriculture and ForestryHue CityVietnam

While the capability approach is increasingly being adopted for evaluating well-being and social justice in the field of human development,this approach in disaster research has remained *** research thus seeks to address the disaster risk that humans face through a lens of capabilities,with a focus on the lives of people with disabilities.A multi-case study approach was adopted and two rural communes in Vietnam were selected as study con *** were collected using focus group discussions and interviews that involved people with disabilities,parents/caregivers of people with intellectual/psychosocial disabilities,and representatives from related *** was found that people with disabilities are affected by disasters due to the lack of capabilities that they value in coping with disasters.A range of capabilities that people with disabilities value was revealed in the study sites,with many being valued not only in times of disasters but also in daily *** findings also highlight that,to actualize their valued capabilities,people with disabilities need access not only to resources but also to the factors that enable them to convert the resources to their valued *** most cases,the limitations to the achievement of capabilities are related to the external environment.

关键词： Capability approach Disasters People with disabilities Vietnam Vulnerability

Deep Learning Based Single Image Super-resolution:A Survey

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International Journal of Automation and computing 2019年第4期16卷 413-426页

作者： Viet khanh ha Jin-Chang Ren Xin-Ying Xu Sophia Zhao Gang Xie Valentin Masero Amir Hussain Department of Electronic and Electrical Engineering University of Strathclyde Glasgow G1 1XW UK College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China Department of Computer Systems and Telematics Engineering University of Extremadura Badajoz 06006 Spain School of Computing Edinburgh Napier University Edinburgh EH10 5DT UK School of Computer Science and Technology Anhui University Anhui 230039 China

Single image super-resolution has attracted increasing attention and has a wide range of applications in satellite imaging, medical imaging, computer vision, security surveillance imaging, remote sensing, objection detection, and recognition. Recently, deep learning techniques have emerged and blossomed, producing " the state-of-the-art” in many domains. Due to their capability in feature extraction and mapping, it is very helpful to predict high-frequency details lost in low-resolution images. In this paper, we give an overview of recent advances in deep learning-based models and methods that have been applied to single image super-resolution tasks. We also summarize, compare and discuss various models from the past and present for comprehensive understanding and finally provide open problems and possible directions for future research.

关键词： Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning

Development of a PARCS/Serpent model for neutronics analysis of the Dalat nuclear research reactor

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Nuclear Science and Techniques 2021年第2期32卷 32-44页

作者： Viet-Phu Tran Kien-Cuong Nguyen Donny hartanto Hoai-Nam Tran Vinh Thanh Tran Van-khanh Hoang Pham Nhu Viet ha Institute for Nuclear Science and Technology(INST) Vietnam Atomic Energy Institute(VINATOM)179 Hoang Quoc Viet str.Cau Giay DistrictHanoi 100000Vietnam Nuclear Research Institute(NRI) Vietnam Atomic Energy Institute(VINATOM)01 Nguyen Tu LucDalatLamdong 670000Vietnam Department of Mechanical and Nuclear Engineering University of SharjahPO.BOX 27272SharjahUnited Arab Emirates Institute of Fundamental and Applied Sciences Duy Tan UniversityHo Chi Minh city 700000Vietnam Faculty of Natural Science Duy Tan UniversityDanang 550000Vietnam Nuclear Safety Division Technical Support Center for Radiation and Nuclear Safety and Emergency ResponseVietnam Agency for Radiation and Nuclear Safety(VARANS)113 Tran Duy Hung str.Cau Giay DistrictHanoi 100000Vietnam

Cross-sectional homogenization for full-core calculations of small and complex reactor configurations,such as research reactors,has been recently recognized as an interesting and challenging *** paper presents the development of a PARCS/Serpent model for the neutronics analysis of a research reactor type TRIGA Mark-II loaded with Russian VVR-M2 fuel(known as the Dalat Nuclear Research Reactor or DNRR).The full-scale DNRR model and a supercell model for a shim/safety rod and its surrounding fuel bundles with the Monte Carlo code Serpent 2 were proposed to generate homogenized fewgroup cross sections for full-core diffusion calculations with *** full-scale DNRR model with Serpent 2 was also utilized as a reference to verify the PARCS/Serpent *** of the effective neutron multiplication factors,radial and axial core power distributions,and control rod worths showed a generally good agreement between PARCS and Serpent *** addition,the discrepancies between the PARCS and Serpent 2 results are also ***,the results indicate the applicability of the PARCS/Serpent model for further steady state and transient analyses of the DNRR.

关键词： PARCS Serpent 2 Group constant DNRR

Identifying nursing research priorities in Vietnam: a modified Delphi study

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Frontiers of Nursing 2019年第4期6卷 249-259页

作者： Yupin Aungsuroch Xuan ha Thi Nhu Tran Thuy khanh Linh Rapin Polsook Rungrawee Navicharern Joko Gunawan Faculty of Nursing Chulalongkorn UniversityPathumwanBangkok 10330Thailand Faculty of Nursing and Medical Technology University of Medicine and PharmacyHo Chi MinhDong Nai 70000Vietnam

Objective: There is no single study that has examined nursing research priorities in Vietnam. This study aimed to gain consensus from experts on the nursing research priorities in ***: A three-round modified Delphi study was used in this study. A focus group discussion among experts was conducted in round I to identify the nursing research priorities(n=23). Data in round I were analyzed using content analysis. In round Ⅱ, participants were invited to rate the importance of each nursing priority topic in a 5-point Likert scale questionnaire, which had a 74%(n=17) response rate. In round Ⅲ, the questionnaire was returned to the experts(n=17) until consensus was reached. Data from round Ⅱ and round Ⅲ were analyzed to produce mean score and final ***: The top 12 research priority lists were identified, which included subthemes and areas of possible investigations. All priorities were classified into three groups in the rank order, namely:(i) nursing management and leadership, which included(1) nursing care quality,(2) management and leadership of nurse managers,(3) nursing image,(4) professional nurse competency, and(5) human resource management;(ii) nursing education, which included(1) knowledge-specific domain,(2) the linkage between education and practice, and(3) nurse teacher workforce;and(iii) nursing service, which included(1) adult nursing concern,(2) patient safety,(3) public health nursing concern, and(4) quality of life of patients and ***: Consensus among experts was achiever, and the findings are considered as the basis of resources to the most essential research needs in Vietnam.

关键词： Delphi method research priorities nursing Vietnam

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

Engine performance and combustion characteristics of a direct injection compression ignition engine fueled waste cooking oil synthetic diesel

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International Journal of Coal Science & Technology 2020年第3期7卷 560-570页

作者： Thanh Viet Nguyen khanh Duc Nguyen Nang Xuan Ho Vinh Duy Nguyen Department of Internal Combustion Engine School of Transportation EngineeringHanoi University of Science and TechnologyHanoiViet Nam Faculty of Vehicle and Energy Engineering Phenikaa UniversityYen NghiaHa-Dong DistrictHanoiViet Nam

Biodiesels produced from various feedstocks have been considered as alternative fuels used in internal combustion engines without major *** research focuses on producing biodiesel from waste cooking oil(WCOSD)by the catalytic cracking method using MgO as the catalyst and comparing the engine operating characteristics of the test engine when using WCOSD and traditional diesel(CD)as test *** a result,the brake power of the test engine fueled WCOSD,and traditional diesel is ***,the engine fuel consumption in the case of using WCOSD is slight increases in some operating ***,the nitrogen oxides emissions of the test engine fueled WCOSD are higher than those of CD at all tested *** trend is opposite for hydrocarbon emission as the HC emission of the engine fueled by WCOSD reduces 26.3%on *** smoke emission of the test engine in case of using WCOSD is lower 17%on average than that of ***,the carbon monoxide emissions are lower at the low and medium loads and higher at the full *** results show that the new biodiesel has the same characteristics as those of commercial biodiesel and can be used as fuel for diesel engines.

关键词： Feedstock Waste cooking oil Engine characteristics Exhaust missions Ignition timing Fuel consumption

Brunner’s gland hyperplasia associated with lipomatous pseudohypertrophy of the pancreas presenting with gastrointestinal bleeding:A case report

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World Journal of Clinical Cases 2021年第31期9卷 9670-9679页

作者： Long Cong Nguyen khanh Truong Vu Trang Thi Thuy Vo Chau ha Trinh Tan Dang Do Ngoc Thi Van Pham Tuyen Van Pham Thanh Tuan Nguyen Hiep Canh Nguyen Jeong-Sik Byeon Gastroenterology and Hepatology Center Bach Mai HospitalHanoi 10000Viet Nam Department of Gastroenterology School of Medicine and PharmacyVietnam National University HanoiHanoi 10000Viet Nam Radiology Center Bach Mai HospitalHanoi 10000Viet Nam Pathology Center Bach Mai HospitalHanoi 10000Viet Nam Department of Human Pathology Kanazawa University Graduate School of MedicineKanazawa 920-8640Japan Department of Gastroenterology Asan Medical CenterUniversity of Ulsan College of MedicineSeoul 05505South Korea

BACKGROUND Brunner’s gland hyperplasia(BGH)is a rare benign lesion of the *** pseudohypertrophy(LiPH)of the pancreas is an extremely rare *** each condition is rare,the probability of purely coincidental coexistence of both conditions is extremely *** SUMMARY We report a 26-year-old man presenting to our hospital with symptoms of recurrent upper gastrointestinal *** gastrointestinal endoscopy showed a huge pedunculated polypoid lesion in the duodenum with bleeding at the base of the *** examination of the duodenal biopsy specimens showed ***,abdominal computed tomography and magnetic resonance imaging revealed marked fat replacement over the entire pancreas,confirmed by histopathological evaluation on percutaneous pancreatic *** on the radiological and histological findings,LiPH of the pancreas and BGH were *** patient refused any surgical ***,he was managed with supportive *** patient’s symptoms improved and there was no further *** This is the first well-documented case showing the coexistence of LiPH of the pancreas and BGH.

关键词： Lipomatous pseudohypertrophy Pancreas Gastrointestinal bleeding Brunner’s gland Case report

Applying Wide & Deep Learning Model for Android Malware Classification

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Computer Systems Science & Engineering 2023年第6期45卷 2741-2759页

作者： Le Duc Thuan Pham Van Huong Hoang Van Hiep Nguyen Kim khanh ha Noi University of Science and Technology Ha Noi100000Viet Nam Academy of Cryptography Techniques Ha Noi100000Viet Nam

Android malware has exploded in popularity in recent years,due to the platform’s dominance of the mobile *** the advancement of deep learning technology,numerous deep learning-based works have been proposed for the classification of Android *** learning technology is designed to handle a large amount of raw and continuous data,such as image content ***,it is incompatible with discrete features,i.e.,features gathered from multiple ***,if the feature set is already well-extracted and sparsely distributed,this technology is less effective than traditional machine *** the other hand,a wide learning model can expand the feature set to enhance the classification *** maximize the benefits of both methods,this study proposes combining the components of deep learning based on multi-branch CNNs(Convolutional Network Neural)with wide learning *** feature set is evaluated and dynamically partitioned according to its meaning and generalizability to subsets when used as input to the model’s wide or deep *** proposed model,partition,and feature set quality are all evaluated using the K-fold cross validation method on a composite dataset with three types of features:API,permission,and raw *** accuracy with Wide and Deep CNN(WDCNN)model is 98.64%,improved by 1.38%compared to RNN(Recurrent Neural Network)model.

关键词： Wide and deep(W&D)learning convolutional neural network image feature raw features generalized features

Subtle Variations in Surface Properties of Black Silicon Surfaces Influence the Degree of Bactericidal Efficiency

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Nano-Micro Letters 2018年第2期10卷 239-246页

作者： Chris M.Bhadra Marco Werner Vladimir A.Baulin Vi khanh Truong Mohammad Al Kobaisi Song ha Nguyen Armandas Balcytis Saulius Juodkazis James Y.Wang David E.Mainwaring Russell J.Crawford Elena P.Ivanova School of Science Faculty of Science Engineering and Technology Swinburne University of Technology Departament d’Enginyeria Química Universitat Rovira i Virgili Melbourne Center for Nanofabrication School of Science RMIT University

One of the major challenges faced by the biomedical industry is the development of robust synthetic surfaces that can resist bacterial colonization. Much inspiration has been drawn recently from naturally occurring mechano-bactericidal surfaces such as the wings of cicada(Psaltoda claripennis) and dragonfly(Diplacodes bipunctata) species in fabricating their synthetic analogs. However,the bactericidal activity of nanostructured surfaces is observed in a particular range of parameters reflecting the geometry of nanostructures and surface wettability. Here,several of the nanometer-scale characteristics of black silicon(bSi) surfaces including the density and height of the nanopillars that have the potential to influence the bactericidal efficiency of these nanostructured surfaces have been investigated. The results provide important evidence that minor variations in the nanoarchitecture of substrata can substantially alter their performance as bactericidal surfaces.

关键词： Black silicon Nanoarchitecture Bactericidal efficiency Deep reactive ion etching(DRIE) Neural network analysis