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COVID-19 vaccination intention among healthcare workers in Vietnam

Asian Pacific Journal of Tropical Medicine 2021年第4期14卷 159-164页

作者： Giao Huynh thien thuan tran Han Thi Ngoc Nguyen Le An Pham Faculty of Public Health University of Medicine and Pharmacy at Ho Chi Minh CityHo Chi Minh CityVietnam Infection Control Department University Medical Center Ho Chi Minh CityHo Chi Minh CityVietnam Family Medicine Training Center University of Medicine and Pharmacy at Ho Chi Minh CityHo Chi Minh CityVietnam

Objective:To assess the acceptance of coronavirus disease(COVID-19)vaccine among healthcare workers at two general hospitals in Vietnam when it is ***:A cross-sectional study was conducted using a convenience sampling from January to February 2021 among 410 healthcare workers at two general hospitals in Vietnam via a selfadministered questionnaire.A multivariable regression analysis was performed to determine predictors of vaccine acceptance including the demographic factors,COVID-19 knowledge,and vaccine beliefs based on the domains of Health Belief ***:Among 410 healthcare workers,76.10%showed vaccination *** of acceptance were determined that the group reporting as“vaccine acceptance”was more likely to be positive towards the perceived susceptibility and severity of COVID-19(OR 2.45;95%CI 1.48-4.06,P<0.05),perceived benefits of vaccination,and cues to action(OR 4.36;95%CI 2.35-8.09,and OR 5.49;95%CI 2.84-10.61,respectively,all P<0.001),but less likely to have the perceived barriers to vaccination(OR 0.19;95%CI 0.09-0.38;P<0.001)compared with the no acceptance ***,people who had a good knowledge regarding the severity of illness were 3.37 times more likely to have identified as vaccine acceptance(OR 3.37;95%CI 1.04-10.86,P<0.05).The demographic factors were also associated with willingness to receive the vaccine,with participants who were staff and received COVID-19 information from relatives were less likely to accept the vaccine over those who were doctors and not receiving information from relatives(OR 0.36;95%CI 0.13-0.96,and OR 0.37;95%CI 0.17-0.78,respectively,all P<0.05).Conclusions:A rate of willingness to get vaccinated against COVID-19 was relatively high with discrepancies between occupation,receiving information from relatives,knowledge toward the severity of illness,and the elements of Health Belief *** findings will provide information for the management authorities to develop relevant interv

关键词： Acceptance COVID-19 Healthcare workers Intention SARS-CoV-2 Vaccination

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Perceived susceptibility,severity,and reinfection of COVID-19 may influence vaccine acceptance-Authors'reply

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Asian Pacific Journal of Tropical Medicine 2021年第5期14卷 239-240页

Authors’reply:We would like to thank you for your interesting *** study aims to understand healthcare workers’intention to receive a COVID-19 vaccination and the factors that affect their ability to do so,based on t... 详细信息

关键词： thank COV Authors

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How knowledge of hepatitis B disease and vaccine influences vaccination practices among parents in Ho Chi Minh City, Vietnam

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Asian Pacific Journal of Tropical Medicine 2021年第3期14卷 122-127页

作者： Giao Huynh Le An Pham thien thuan tran Ngoc Nga Cao Thi Ngoc Han Nguyen Quang Vinh Bui Faculty of Public Health University of Medicine and Pharmacy at Ho Chi Minh CityVietnam Center for Training of Family Medicine University of Medicine and Pharmacy at Ho Chi Minh CityVietnam Department of Infectious Diseases University of Medicine and Pharmacy at Ho Chi Minh CityVietnam Infection Control Department University Medical Center at Ho Chi Minh CityVietnam Department of Pediatrics University of Medicine and Pharmacy at Ho Chi Minh CityVietnam

Objective:To assess the influences of the knowledge of parents about hepatitis B virus(HBV)infection and the benefit of HBV vaccination on the practice of HBV vaccination among ***:A prospective cross-sectional study recruited parents whose children,aged 12-24 months,received HBV vaccination at Commune Health Centers(CHCs)in Ho Chi Minh City from Feb.2016 to *** were interviewed using a questionnaire that included 11-item binary knowledge questions and checked their children’s vaccination ***:A total of 768 parents had a mean age of(30.8±5.1)*** mean knowledge score of the 11-item questions was(7.0±2.4).The knowledge score was positively associated with full and timely HBV *** addition,children who received complete and timely HBV vaccination were significantly more likely to live in rural areas(Adjusted OR 4.02,95%CI 2.79-5.79,P<0.001).Also,children whose parents received vaccination information from health care providers,and had knowledge about HBV risk,had a higher rate of full and timely HBV vaccination(Adjusted OR 1.60,95%CI 1.13-2.29,and Adjusted OR 1.47,95%CI 1.01-2.13,P all<0.05).Conclusions:Parents possessed a great deal of incorrect knowledge about *** health education from health care providers should target parents living in specific locations and focus on the benefits of HBV vaccine.

关键词： Knowledge Hepatitis Health Belief Model Vaccination Questionnaire

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An exploration of meteorological effects on PM_(2.5) air quality in several provinces and cities in Vietnam

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Journal of Environmental Sciences 2024年第11期145卷 139-151页

作者： Giang tran Huong Nguyen Luan thien La Huy Hoang-Cong Anh Hoang Le Faculty of Chemistry and Environment Dalat UniversityLam Dong ProvinceVietnam Environmental Protection Agency Lam Dong Province Department of Natural Resources and EnvironmentLam Dong ProvinceVietnam Northern Center for Environmental Monitoring Environmental Pollution Control DepartmentHa Noi CityVietnam Faculty of Environment University of ScienceHo Chi Minh CityVietnam Vietnam National University Ho Chi Minh CityVietnam

Linking meteorology and air pollutants is a key *** study investigated meteorological effects on PM_(2.5)concentration using the advanced convergent cross mapping method,utilizing hourly PM_(2.5)concentration and six meteorological factors across eight provinces and cities in *** demonstrated that temperature(ρ=0.30)and radiation(ρ=0.30)produced the highest effects,followed by humidity(ρ=0.28)and wind speed(ρ=0.24),while pressure(ρ=0.22)and wind direction(ρ=0.17)produced the weakest effects on PM_(2.5)*** theρvalues showed that temperature,wind speed,and wind direction had greater impacts on PM_(2.5)concentration during the dry season whereas radiation had a more influence during the wet season;Southern stations experienced larger meteorological ***,humidity,pressure,and wind direction had both positive and negative influences on PM_(2.5)concentration,while radiation and wind speed mostly had negative *** PM_(2.5)pollution episodes,there wasmore contribution ofmeteorological effects on PM_(2.5)concentration indicated byρ*** contaminated levels,humidity(ρ=0.45)was the most dominant factor affecting PM_(2.5)concentration,followed by temperature(ρ=0.41)and radiation(ρ=0.40).Pollution episodes were pointed out to be more prevalent under higher humidity,higher pressure,lower temperature,lower radiation,and lower wind ***ρcalculation also revealed that lower temperature,lower radiation,and higher humidity greatly accelerated each other under pollution episodes,further enhancing PM_(2.5)*** findings contributed to the literature on meteorology and air pollution interaction.

关键词： Fine particulate matter Air pollution Meteorological effect Convergent cross mapping Causality analysis Vietnam

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A Deep Learning Model of Traffic Signs in Panoramic Images Detection

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Intelligent Automation & Soft Computing 2023年第7期37卷 401-418页

作者： Kha Tu Huynh Thi Phuong Linh Le Muhammad Arif thien Khai tran International University Ho Chi Minh CityVietnam-Vietnam National UniversityHo Chi Minh City700000Vietnam Department of Computer Science The Superior UniversityLahorePakistan Ho Chi Minh City University of Foreign Languages and Information Technology Ho Chi Minh City700000Vietnam

To pursue the ideal of a safe high-tech society in a time when traffic accidents are frequent,the traffic signs detection system has become one of the necessary topics in recent years and in the *** ultimate goal of this research is to identify and classify the types of traffic signs in a panoramic *** accomplish this goal,the paper proposes a new model for traffic sign detection based on the Convolutional Neural Network for com-prehensive traffic sign classification and Mask Region-based Convolutional Neural Networks(R-CNN)implementation for identifying and extracting signs in panoramic *** augmentation and normalization of the images are also applied to assist in classifying better even if old traffic signs are degraded,and considerably minimize the rates of discovering the extra *** proposed model is tested on both the testing dataset and the actual images and gets 94.5%of the correct signs recognition rate,the classification rate of those signs discovered was 99.41%and the rate of false signs was only around 0.11.

关键词： Deep learning convolutional neural network Mask R-CNN traffic signs detection

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Optimization, equilibrium, adsorption behavior and role of surface functional groups on graphene oxide-based nanocomposite towards diclofenac drug

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Journal of Environmental Sciences 2020年第7期32卷 137-150页

作者： thuan Van tran Duyen Thi Cam Nguyen Hanh TNLe Dai-Viet NVo Sonil Nanda Trinh Duy Nguyen Nguyen Tat Thanh Hi-Tech Institute Nguyen Tat Thanh UniversityHo Chi Minh City 755414Viet Nam Center of Excellence for Green Energy and Environmental Nanomaterials(CE@GrEEN) Nguyen Tat Thanh UniversityHo Chi Minh City 755414Viet Nam Institute of Hygiene and Public Health Ho Chi Minh City 700000Viet Nam Department of Chemical and Biochemical Engineering University of Western OntarioLondonOntarioCanada

Aquatic contamination of diclofenac(DCF),an emergent non-steroidal anti-inflammatory drug(NSAIDs),can result in adverse effects to many ecosystems through ***,introducing effective remediation techniques to sequester the pharmaceutical wastes is highly fundamental to prevent their accumulation in the ***,adsorption has been presented as a green and efficient ***,we report the characterization and application of the novel magnetic nanocomposite(GO@CoFe2O4)derived from cobalt-based ferrite(CoFe2O4)and graphene oxide(GO)for DCF *** the optimization procedure,the response surface methodology(RSM)was adopted to investigate the impacts of DCF concentration(1.6-18.4 mg/L),DCF dosage(0.08-0.92 g/L),and solution pH(2.6-9.4)to find the optimum conditions for DCF removal,at 10.5 mg/L,0.74 g/L,and pH 4,*** the adsorption experiments,the kinetic,isotherm,thermodynamic,and intraparticle diffusion models were systematically ***,we have elucidated the role of functional groups on the surface of GO@CoFe2O4 in enhancing the adsorption of DCF *** good removal efficiency(up to 86.1%),high maximum adsorption capacity(32.4 mg/g),GO@CoFe2O4 can be a potential candidate to eliminate DCF drug from water.

关键词： Diclofenac sodium Graphene oxide Magnetic nanocomposite Response surface methodology Pharmaceuticals adsorption

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A Deep Trash Classification Model on Raspberry Pi 4

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Intelligent Automation & Soft Computing 2023年第2期35卷 2479-2491页

作者： thien Khai tran Kha Tu Huynh Dac-Nhuong Le Muhammad Arif Hoa Minh Dinh Ho Chi Minh City University of Foreign Languages and Information Technology Ho Chi Minh City700000Vietnam International University Ho Chi Minh CityVietnam-Vietnam National UniversityHo Chi Minh City70000Vietnam Faculty of Information Technology Haiphong UniversityHaiphong180000Vietnam Department of Computer Science and Information Technology University of LahoreLahorePakistan

Environmental pollution has had substantial impacts on human life,and trash is one of the main sources of such pollution in most *** classi-ﬁcation from a collection of trash images can limit the overloading of garbage dis-posal systems and efﬁciently promote recycling activities;thus,development of such a classiﬁcation system is topical and *** paper proposed an effective trash classiﬁcation system that relies on a classiﬁcation module embedded in a hard-ware setup to classify trash in real *** image dataset isﬁrst augmented to enhance the images before classifying them as either inorganic or organic *** deep learning–based ResNet-50 model,an improved version of the ResNet model,is used to classify trash from the dataset of trash *** experimental results,which are tested both on the dataset and in real time,show that ResNet-50 had an average accuracy of 96%,higher than that of related ***,integrating the classiﬁcation module into a Raspberry Pi computer,which con-trolled the trash bin slide so that garbage fell into the appropriate bin for inorganic or organic waste,created a complete trash classiﬁcation *** proves the efﬁciency and high applicability of the proposed system.

关键词： Trash classiﬁcation ResNet raspberry pi internet of things(IoT) deep learning

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First Record of Sphenomorphus incognitus (Thompson, 1912) (Squamata: Scincidae) from Vietnam with Some Notes on Natural History

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Asian Herpetological Research 2012年第2期3卷 147-150页

作者： Truong Quang NGUYEN Tung Thanh tran Tao thien NGUYEN Wolfgang BHME Thomas ZIEGLER Institute of Ecology and Biological Resources Vietnam Academy of Science and Technology Present address: Department of Terrestrial Ecology Cologne Biocenter University of Cologne Vinh Phuc College of Education 4. Vietnam National Museum of Nature Vietnam Academy of Science and Technology 5. Zoologisches Forschungsmuseum Alexander Koenig 6. AG Zoologischer Garten Kln

Sphenomorphus incognitus is recorded for the first time outside of China. The new locality record is from the Tay Yen Tu Nature Reserve in Bac Giang Province, northeastern Vietnam at elevations between 200–450 m. Based on the newly collected specimens, we present an expanded description and provide data on the natural history of this species in northern Vietnam.

关键词： new record Sphenomorphus incognitus Tay Yen Tu Nature Reserve Bac Giang Province Vietnam

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Dynamic Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform

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Computers, Materials & Continua 2022年第7期72卷 1357-1372页

作者： Nguyen A.Tuan D.Akila Souvik Pal Bikramjit Sarkar thien Khai tran G.Mothilal Nehru Dac-Nhuong Le Faculty of Information Technology Ho Chi Minh City University of Foreign Languages-Information TechnologyHo Chi Minh City70000Vietnam Department of Information Technology Vels Institute of ScienceTechnology&Advanced StudiesChennai600117India Department of Computer Science and Engineering Sister Nivedita UniversityKolkata700156India Department of Computer Science and Engineering JIS College of EngineeringNadia741235India Institute of Research and Development Duy Tan UniversityDanang550000Vietnam School of Computer Science Duy Tan UniversityDanang550000Vietnam

This article presents a new scheme for dynamic data optimization in IoT(Internet of Things)-assisted sensor *** various components of IoT assisted cloud platform are *** addition,a new architecture for IoT assisted sensor networks is ***,a model for data optimization in IoT assisted sensor networks is proposed.A novel Membership inducing Dynamic Data Optimization Membership inducing Dynamic Data Optimization(MIDDO)algorithm for IoT assisted sensor network is proposed in this *** proposed algorithm considers every node data and utilized membership function for the optimized data *** proposed framework is compared with two stage optimization,dynamic stochastic optimization and sparsity inducing optimization and evaluated in terms of reliability ratio,coverage ratio and sensing *** optimization was performed based on the availability of cloud resource,sensor energy,data flow volume and the centroid of each *** was inferred that the proposed MIDDO algorithm achieves an average performance ratio of 76.55%,reliability ratio of 94.74%,coverage ratio of 85.75%and sensing error of 0.154.

关键词： Data optimization IoT sensor network reliability membership sensor energy

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Novel CagA ELISA exhibits enhanced sensitivity of Helicobacter pylori CagA antibody

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World Journal of Gastroenterology 2017年第1期23卷 48-59页

作者： Yuichi Matsuo Yasutoshi Kido Junko Akada Seiji Shiota tran Thanh Binh tran Thi Huyen trang Ho DQ Dung Pham Huu Tung tran Dinh Tri Ngo P Minh thuan Le Quang Tam Bui Chi Nam Vu Van Khien Yoshio Yamaoka Department of Environmental and Preventive Medicine Oita University Faculty of Medicine Department of General Medicine Oita University Faculty of Medicine Department of Endoscopy Cho Ray Hospital Department of Molecular Biology 108 Military Central Hospital Department of Endoscopy Daklak Hospital Department of Endoscopy Lao Cai Hospital Department of Hepatogastroentrology 108 Military Center Hospital Department of Medicine-Gastroenterology Baylor College of Medicine and Michael E.De Bakey Veterans Affairs Medical Center

AIMTo develop a novel Helicobacter pylori (H. pylori) CagA antibody enzyme-linked immunosorbent assay (ELISA) suitable for detecting serum anti-CagA antibodies with high *** East Asian-type CagA protein was purified and immobilized for ELISA. Serum samples from 217 Vietnamese individuals (110 H. pylori-infected and 107 uninfected individuals) were applied. Conventional ELISA from Western-type CagA and our East Asian-type CagA ELISA were evaluated by comparing 38 subjects with the Western-type genotype and 72 subjects with the East Asian-type cagA genotype. Histological scores of the gastric mucosa were determined using the updated Sydney System to examine the relationship with anti-CagA antibody *** 70-100 kDa fragments were immobilized on the ELISA plate. In ROC analysis, the area under the curve of our East Asian-type CagA ELISA was comparable to that of conventional CagA ELISA. The sensitivity of the two ELISAs differed depending on the cagA genotype. The sensitivity of East Asian-type CagA ELISA was higher for subjects infected with East Asian-type cagA H. pylori (P < 0.001), and the sensitivity of the conventional CagA ELISA tended to be higher for subjects infected with Western cagA H. pylori (P = 0.056). The titer of anti-CagA antibody tended to correlate with monocyte infiltration scores (r = 0.25, P = 0.058) and was inversely correlated with H. pylori density (r = -0.26, P = 0.043).CONCLUSIONThe novel ELISA is useful to detect anti-CagA antibodies in East Asian countries, and the titer may be a marker for predicting chronic gastritis.

关键词： Helicobacter pylori cagA genotype Anti-CagA antibody Enzyme-linked immunosorbent assay Inflammation Gastritis

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