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Extension of Goal-Directed Behavior Model for Post-Pandemic Korean Travel Intentions to Alternative Local Destinations: Perceived Risk and Knowledge

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International Journal of Mental Health Promotion 2023年第4期25卷 449-469页

作者： Heesup Han Hong ngoc nguyen Hyerin Lee Sanghyeop Lee College of Hospitality and Tourism Management Sejong UniversitySeoul143-747Korea School of Tourism University of Economics Ho Chi Minh CityHo Chi Minh City700000Vietnam Department of Hotel&Restaurant Management Kyunghee Cyber UniversitySeoul130-739Korea Major in Tourism Management College of Business AdministrationKeimyung UniversityDaegu42601Korea

Since the outbreak of COVID-19,tourists have been increasingly concerned over various risks of international travel,while knowledge of the pandemic appears to vary *** addition,as travel restrictions continue to impact adversely on international tourism,tourism efforts should be placed more on the domestic *** structural equation modeling,this study unearthed different risk factors impacting Korean travelers’choices of alternative local destinations in the post-pandemic *** addition,this study extended the goal-directed behavior framework with the acquisition of perceived risk and knowledge of COVID-19,which was proven to hold a sig-nificantly superior explanatory power of tourists’decisions of local alternatives over foreign countries during the COVID-19 ***,desire was found to play an imminent mediating role in the conceptual mod-el,maximizing the impact of perceived risk on travel ***,this research offers meaningful the-oretical implication as thefirst empirical study to deepen the goal-directed behaviour framework with perceived risk and knowledge in the context of post-COVID-19 *** also serves as insightful knowledge for Korean tour-ism authorities and practitioners to understand local tourists’decision-making processes and tailor effective recovery strategy for domestic tourism.

关键词： Travel intention goal-directed behavior desire perceived risk COVID-19 domestic tourism Korean tourists

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Amyloid-beta and tau protein beyond Alzheimer's disease

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Neural Regeneration Research 2024年第6期19卷 1262-1276页

作者： Morteza Abyadeh Vivek Gupta Joao A.Paulo Arezoo Gohari Mahmoudabad Sina Shadfar Shahab Mirshahvaladi Veer Gupta Christine T.O.nguyen David I.Finkelstein Yuyi You Paul A.Haynes Ghasem H.Salekdeh Stuart L.Graham Mehdi Mirzaei ProGene Technologies Pty Ltd. 2. Department of Clinical Medicine Faculty of Medicine Health and Human Sciences Macquarie Medical School Macquarie University Department of Cell Biology Harvard Medical School School of Medicine Deakin University Department of Optometry and Vision Sciences School of Health Sciences Faculty of Medicine Dentistry and Health Sciences University of Melbourne The Florey Institute of Neuroscience and Mental Health The University of Melbourne School of Natural Sciences Macquarie University

The aggregation of amyloid-beta peptide and tau protein dysregulation are implicated to play key roles in Alzheimer’s disease pathogenesis and are considered the main pathological hallmarks of this devastating disease. Physiologically, these two proteins are produced and expressed within the normal human body. However, under pathological conditions, abnormal expression, posttranslational modifications, conformational changes, and truncation can make these proteins prone to aggregation, triggering specific disease-related cascades. Recent studies have indicated associations between aberrant behavior of amyloid-beta and tau proteins and various neurological diseases, such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis, as well as retinal neurodegenerative diseases like Glaucoma and age-related macular degeneration. Additionally, these proteins have been linked to cardiovascular disease, cancer, traumatic brain injury, and diabetes, which are all leading causes of morbidity and mortality. In this comprehensive review, we provide an overview of the connections between amyloid-beta and tau proteins and a spectrum of disorders.

关键词： amyloid-beta cancer cardiovascular diseases diabetes neurodegeneration Tau traumatic brain injury

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Predicting 3D Radiotherapy Dose-Volume Based on Deep Learning

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Intelligent Automation & Soft Computing 2024年第2期39卷 319-335页

作者： Do Nang Toan Lam Thanh Hien Ha Manh Toan nguyen Trong Vinh Pham Trung Hieu Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi10072Vietnam Faculty of Information Technology Lac Hong UniversityBien HoaDong Nai76120Vietnam

Cancer is one of the most dangerous diseaseswith *** of the principal treatments is radiotherapy by using radiation beams to destroy cancer cells and this workflow requires a lot of experience and skill from doctors and *** our study,we focused on the 3D dose prediction problem in radiotherapy by applying the deeplearning approach to computed tomography(CT)images of cancer *** image data has more complex characteristics than normal image data,and this research aims to explore the effectiveness of data preprocessing and augmentation in the context of the 3D dose prediction *** proposed four strategies to clarify our hypothesis in different aspects of applying data preprocessing and *** strategies,we trained our custom convolutional neural network model which has a structure inspired by the U-net,and residual blocks were also applied to the *** output of the network is added with a rectified linear unit(Re-Lu)function for each pixel to ensure there are no negative values,which are absurd with radiation *** experiments were conducted on the dataset of the Open Knowledge-Based Planning Challenge which was collected from head and neck cancer patients treatedwith radiation *** results of four strategies showthat our hypothesis is rational by evaluating metrics in terms of the Dose-score and the Dose-volume histogram score(DVH-score).In the best training cases,the Dose-score is 3.08 and the DVH-score is *** addition,we also conducted a comparison with the results of another study in the same context of using the loss function.

关键词： CT image 3D dose prediction data preprocessing augmentation

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The effectiveness of light emitting diode(LED)lamps in the offshore purse seine fishery in Vietnam

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Aquaculture and Fisheries 2023年第5期8卷 551-557页

作者： nguyen Dang Nhat Do Thanh Tien Truong Van Dan nguyen Duy Quynh Tram nguyen Quang Lich Ho Dang Phuc nguyen ngoc Phuoc School of Engineering and Technology Hue University01 Dien Bien PhuHue City52000Viet Nam Faculty of Engineering and Food Technology University of Agriculture and ForestryHue University102 Phung HungHue City52000Viet Nam Faculty of Fisheries University of Agriculture and ForestryHue University102 Phung HungHue City52000Viet Nam Institute of Mathematics Vietnam Academy of Science and Technology18 Hoang Quoc VietCau Giay DistrictHanoi11300Viet Nam

Fishing with artificial light has become one of the most advanced,efficient,and common methods for the night-time purse seining in *** study evaluated the radiation spectrum,CIE chromaticity coordinates,correlated color temperature(CCT),catch rate,fuel consumption,and CO_(2)emissions when using Light emitting diode(LED)lamps(0.196 kW)in comparison with the use of metal halide(MH)lights(1 kW)in the offshore purse seine fishery in Quang Tri province,*** fishing efficiency of the purse seine fishing boats using LED lamps has increased 1.58 times in catch rate than MH lights,although the energy consumption of LED lamp is 4 times *** consumption of boats per trip using LED lamps was one third of that using MH *** use of LED reduced the radiation spectrum,especially the intense UV radiation which negatively affects the health of *** study also showed the potential of CO_(2)emission reduction up to 1.09 tons of CO_(2)per trip per boat from the use of LED lamps in the offshore purse seine fishing boats.

关键词： Light emitting diode(LED)lamp Metal halide(MH)light Offshore purse seine fishery Quang tri province Vietnam

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Myo-inositol versus metformin effects on clinical features, endocrine and metabolic profiles in infertile women with polycystic ovary syndrome: A randomized controlled trial

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Asian pacific Journal of Reproduction 2023年第6期12卷 256-265页

作者： nguyen Sa Viet Le Minh Tam Le Thanh ngoc Cao Center for OBGYN Hue Central Hospital16 Le Loi StreetHueVietnam Center for Reproductive Endocrinology and Infertility Hue University of Medicine and PharmacyHue University06 Ngo Quyen StreetHueVietnam

Objective:To compare the effectiveness of inositol and metformin on the clinical characteristics,and endocrine and metabolic profiles of infertile polycystic ovarian syndrome(PCOS)women from ***:From June 2018 to August 2022,a randomized trial was undertaken at the Hue Center for Endocrinology and Reproduction on infertile women aged 18 to 40 years with polycystic ovarian *** clinical,endocrine,and metabolic features of these individuals were assessed before and after 3 months of treatment with 2 g of inositol or 1700 mg of metformin per *** pregnancy rates,adverse effects,and tolerance of inositol were ***:The study included 171 infertile PCOS women who were eligible to participate and took part in the baseline assessment,of whom 132 women participated in data analysis after 3 *** metformin treatment,42.1%of women with oligomenorrhea experienced regular *** significantly lowered body mass index(BMI),waist circumference and testosterone levels,but had no effect on other clinical characteristics,endocrine profiles,or metabolic profiles.29.2%Of women reported experiencing side effects.21%Of them attained pregnancy,which resulted in 17.1%of live *** the inositol group,the rate of regular cycle increased by 18.2%and the total testosterone concentration significantly *** overweight/obese women with PCOS,inositol significantly decreased weight,BMI,waist and hip circumferences(P<0.05).100%Of women tolerated inositol and continued treatment.18.9%Of them became pregnant,leading to 17%of live ***:Metformin and inositol can improve weight and waist circumference in overweight/obese infertile women with *** is associated with a higher rate of regular menstruation,whereas inositol is associated with a lower rate of adverse *** spontaneous conception,clinical pregnancy,and live birth rates between two groups are comparable.

关键词： Polycystic ovarian syndrome Inositol Metformin Endocrine Metabolic Menstrual cycle Pregnancy

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Tuberculosis Diagnosis and Visualization with a Large Vietnamese X-Ray Image Dataset

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Intelligent Automation & Soft Computing 2024年第2期39卷 281-299页

作者： nguyen Trong Vinh Lam Thanh Hien Ha Manh Toan Ngo Duc Vinh Do Nang Toan Faculty of Information Technology Lac Hong UniversityBien HoaDong Nai76120Vietnam Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi10072Vietnam Faculty of Information Technology Hanoi University of IndustryHanoi11915Vietnam

Tuberculosis is a dangerous disease to human life,and we need a lot of attempts to stop and reverse ***,in theCOVID-19 pandemic,access to medical services for tuberculosis has become very *** late detection of tuberculosis could lead to danger to patient health,even *** one of the countries heavily affected by the COVID-19 pandemic,andmany residential areas as well as hospitals have to be isolated for a long *** demands a fast and effective tuberculosis diagnosis solution to deal with the difficulty of accessingmedical services,such as an automatic tuberculosis diagnosis *** our study,aiming to build that system,we were interested in the tuberculosis diagnosis problem from the chest X-ray images of Vietnamese *** chest X-ray image is an important data type to diagnose tuberculosis,and it has also received a lot of attention from deep learning *** paper proposed a novel method for tuberculosis diagnosis and visualization using the deeplearning approach with a large Vietnamese X-ray image *** detail,we designed our custom convolutional neural network for the X-ray image classification task and then analyzed the predicted result to provide visualization as a *** prove the performance of our network model,we conducted several experiments to compare it to another study and also to evaluate it with the dataset of this *** support the implementation,we built a specific annotation system for tuberculosis under the requirements of radiologists in the Vietnam National Lung Hospital.A large experiment dataset was also from this hospital,and most of this data was for training the convolutional neural network *** experiment results were evaluated regarding sensitivity,specificity,and *** achieved high scores with a training accuracy score of 0.99,and the testing specificity and sensitivity scores were over *** on the X-ray image classification result,we visualize pr

关键词： Tuberculosis classification Vietnamese chest X-ray deep learning

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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

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Assessment of Agricultural Soil Quality Indices Using Mechanistic Models

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Open Journal of Soil Science 2024年第6期14卷 333-352页

作者： Mohammadali Nikpey Javad Robatjazi Shahabeddin Garmehei Hendra Gonsalve W. Lasar nguyen Khoi Nghia Benjamin Kwadwo Agyei Department of Soil Science Faculty of Agriculture Tarbiat Modarres University Tehran Iran Texas A&M AgriLife Research Department of Soil and Crop Sciences Texas A&M University College Station TX USA Faculty of Soil Sciences College of Agriculture Can Tho University Can Tho Vietnam Department of Plant Soil and Microbial Sciences Michigan State University East Lansing MI USA

Assessing soil quality is a critical strategy for diagnosing soil status and anticipating concerns in land use systems for agricultural sustainability. In this study, two soil quality assessment indices, the Integrated Quality Index (IQI) and Nemoro Quality Index (NQI), were employed using two indicator selection methods: Total Data Set (TDS) and Minimum Data Set (MDS), focusing on agricultural fields in Golestan province, Iran. A total of 89 soil samples were collected and analyzed for particle size distribution, organic carbon, calcium carbonate equivalent (CCE), electrical conductivity (EC), pH, and plant-essential nutrients, including nitrogen, phosphorus, potassium, zinc, copper, manganese, and iron. Principal component analysis (PCA) was used to extract MDS from TDS, and geostatistical adaptation and correlation analyses were performed to determine the optimal soil quality evaluation index. Our results show that the exponential model better suits the spatial structure of soil quality indicators (IQIMDS: 0.955). Conformity and correlation analyses indicate that the IQI index outperformed the NQI index in estimating soil quality. The superiority of the TDS technique over the MDS technique in terms of accuracy (IQITDSs kappa: 0.155). Linear relationships between different methods showed a higher correlation coefficient (R2 = 0.43) through the application of IQI. This study suggests the use of IQIMDS to provide a reliable measurement that is particularly useful in assessing the quality of agricultural soil.

关键词： Soil Quality Geographic Information System Integrated Quality Index Nemoro Quality Index

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Revealing efficient catalytic performance of N-CuO_(x) for aerobic oxidative coupling of aliphatic alkynes:A Langmuir-Hinshelwood reaction mechanism

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Nano Research 2022年第7期15卷 6076-6083页

作者： Jun Tang Bowen Jiao Wei Chen Fei Ruan Fengfeng Li Peixin Cui Chao Wan Minh ngoc Ha Van Noi nguyen Qingping Ke College of Chemistry and Chemical Engineering Anhui University of TechnologyMaanshan 243002China Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China Key Laboratory of Soil Environment and Pollution Remediation Institute of Soil Sciencethe Chinese Academy of SciencesNanjing 210008China VNU Key Laboratory of Advanced Material for Green Growth VNU University of ScienceVietnam National UniversityHanoi 100000Vietnam

O_(x)idative couplings of aliphatic alkynes are crucial for the production of naturally occurring 1,*** we report the novel approach for effective synthesis of unsaturated coordinated N doped copper oxides(N-CuO_(x))catalyst,and uncover that N-CuO_(x) catalyst as an additive-free and cost-effective heterogeneous catalyst has highly catalytic performance for directly oxidative coupling of aliphatic *** key to achieve efficient oxidative coupling of aliphatic alkynes is the synergistic effect of N species and uncoordinated O/Cu species caused by N dopants,which undergoes the Langmuir–Hinshelwood reaction *** N-CuO_(x) catalyst displays~89.1%yield for hexadeca-7,9-diyne under mild conditions and stable reusability(5 cycles),showing significant advances compared with the traditionally copper *** findings highlight the heteroatom dopants that provide a new methodology for designing efficient copper catalysts in synthesis of naturally occurring 1,3-diynes.

关键词： N doped copper oxides(N-CuO_(x)) straight chain alkynes homo-coupling additive-free 1,3-diynes

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Malware Attacks Detection in IoT Using Recurrent Neural Network(RNN)

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Intelligent Automation & Soft Computing 2024年第2期39卷 135-155页

作者： Abeer Abdullah Alsadhan Abdullah A.Al-Atawi Hanen karamti Abid Jameel Islam Zada Tan N.nguyen Computer Science Department Imam Abdulrahman Bin Faisal UniversityDamam32232Saudi Arabia Department of Computer Science Applied CollegeUniversity of TabukTabuk47512Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences and Information Technology Hazara UniversityMansehraPakistan Faculty of Computing Department of Software EngineeringInternational Islamic UniversityIslamabadPakistan Department of Architectural Engineering Sejong UniversitySeoul05006Korea

IoT(Internet of Things)devices are being used more and more in a variety of businesses and for a variety of tasks,such as environmental data collection in both civilian and military *** are a desirable attack target for malware intended to infect specific IoT devices due to their growing use in a variety of applications and their increasing computational and processing *** this study,we investigate the possibility of detecting IoT malware using recurrent neural networks(RNNs).RNNis used in the proposed method to investigate the execution operation codes of ARM-based Internet of Things apps(OpCodes).To train our algorithms,we employ a dataset of IoT applications that includes 281 malicious and 270 benign pieces of *** trained model is then put to the test using 100 brand-new IoT malware samples across three separate LSTM *** exposure was not previously conducted on these *** newly crafted malware samples with 2-layer neurons had the highest accuracy(98.18%)in the 10-fold cross validation experiment.A comparison of the LSTMtechnique to other machine learning classifiers shows that it yields the best results.

关键词： Malware malicious code code obfuscation IoT machine learning deep learning

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