Determinants Influencing Housing-Option Decision of Gen Y: The Case of Vietnam

Ha Thu LUONG(Ha Thu LUONG ),Dung Manh TRAN(Dung Manh TRAN ),Dan Linh Ngoc NGUYEN(Dan Linh Ngoc NGUYEN ),Van Bao NGUYEN(Van Bao NGUYEN ),Anh Thuc LE(Anh Thuc LE ),Hieu Van PHAM(Hieu Van PHAM ) 한국유통과학회 2023 유통과학연구 Vol.21 No.7

Erratum: Closing the gap for cervical cancer research in Vietnam: current perspectives and future opportunities: a report from the 5th Gynecologic Cancer InterGroup (GCIG) Cervical Cancer Research Network (CCRN) Education Symposium

Ngoc T.H. Phan,Quy T. Tran,Nhan P.T. Nguyen,Hang T. Nguyen,Linh D.N. Tran,Viet C. Pham,Katherine Bennett,Adriana Chávez-Blanco,Marie Plante,Fabrice R Lecuru,서동훈,Remi Nout,David SP Tan 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.6

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Closing the gap for cervical cancer research in Vietnam: current perspectives and future opportunities: a report from the 5th Gynecologic Cancer InterGroup (GCIG) Cervical Cancer Research Network (CCRN) Education Symposium

Ngoc T.H. Phan,Quy T. Tran,Nhan P.T. Nguyen,Hang T. Nguyen,Linh D.N. Tran,Viet C. Pham,Katherine Bennett,Adriana Chávez-Blanco,Marie Plante,서동훈,Remi Nout,David SP Tan 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.5

Metabolic engineering of an industrially promising methanotroph Methylomicrobium alcaliphilum 20Z for production of putrescine

Linh Thanh NGUYEN,Dung Hoang Anh MAI,Diep Ngoc PHAM,Eun Yeol LEE 한국생물공학회 2019 한국생물공학회 학술대회 Vol.2019 No.4

Work Motive Distribution of Public Universities Lecturers in Hanoi

PHAM, Ngoc Thach,BUI, Van Huyen,HA, Dieu Linh,LE, Thi Lan Huong Korea Distribution Science Association 2022 유통과학연구 Vol.20 No.11

Purpose: The study aims to investigate the impact of factors affecting the work motive distribution of public universities lecturers in Hanoi. Research design, data and methodology: The questionnaire survey method is applied in this research to analyze the relationship between the variables and verify the hypothesis based on the collected 306 valid questionnaires. The partial least square method structural equation model (PLS-SEM) is used to carry out structural equation modeling to study the relationship between latent variables with reliable tools (SmartPLS 3.0 software). Results: The research results show that the intrisic motivation of the lecturers, the extrisic motivation of the lecturers and the job characteristics of the lecturers all have a positive impact on the motivation of public universities lecturers in Hanoi. In which, intrinsic motivation has the greatest influence on the work motive distribution of lecturers. In addition, the research results also prove that job characteristics affect the work motive distribution of lecturers. This is a new factor in the factors affecting the work motive distribution of public universities lecturers. Conclusion: Based on the research results, the authors propose some recommendations to increase the work motive distribution of public universities lecturers in Hanoi through improving the factors affecting their work motive distribution.

Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam

Ha-Linh Quach,Thai Quang Pham,Ngoc-Anh Hoang,Dinh Cong Phung,Viet-Cuong Nguyen,Son Hong Le,Thanh Cong Le,Dang Hai Le,Anh Duc Dang,Duong Nhu Tran,Nghia Duy Ngu,Florian Vogt,Cong-Khanh Nguyen 대한의료정보학회 2022 Healthcare Informatics Research Vol.28 No.4

Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions: Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.

Shift of Vietnamese Consumer E-purchasing Behavior During and After Covid-19 Pandemic

ANH Pham Thi Cam,PHUONG Nguyen Mai,GIANG Nguyen Huong,LINH Pham Ngoc Mai,GIANG Nguyen Huong 한국유통과학회 2024 유통과학연구 Vol.22 No.1

Purposes: The study aimed at examining the impact of the COVID-19 pandemic on the shift of online consumer purchasing behavior and whether the new behaviors would be maintained after the epidemic season. The study also aims to investigate how online customers change based on perceived risks. Research design and Methodology: The study investigated purchasing behavior of the same 377 online Vietnamese consumers during two periods: (1) during the period of social distancing and (2) one and half year after that, allowing data to be collected in real time, so that consumers do not have to recall their behavior. Results: Purchasing behavior appeared to be more influenced by gender, age and household size. Aged consumers are more concerned about risks than those in the younger group, who only worry about the risks during the pandemic. Consumers in households with two or more people are more concerned about the risks than those living alone. Female appeared to be more influential in both during and after pandemic than male. Conclusions: The findings contribute to clarify shift of online consumer purchasing behavior, which helps business to develop effective marketing strategies and enhance their presence in the e-commerce sector.

Influencing Of SiC Particle Concentration ON Mechanical And Anti-corrosion Properties Of Nikel Composit Electroplating Coating

Phong Nguyen Ngoc,San Pham Thy,Linh Do Chi,Hong Nguyen Lam,Tuyet Ngo Thi Anh,Hanh Pham Hong 한국표면공학회 2008 한국표면공학회 학술발표회 초록집 Vol.2008 No.-

An Application of RASA Technology to Design an AI Virtual Assistant: A Case of Learning Finance and Banking Terms in Vietnamese

Thi My Ni PHAM,Thi Ngoc Thao PHAM,Ha Phuong Truc NGUYEN,Bao Tuyen LY,Truc Linh NGUYEN,Hoanh Su LE 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.5

Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA’s default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.

Trends in Second-Hand Tobacco Smoke Exposure Levels at Home among Viet Nam School Children Aged 13-15 and Associated Factors

Nguyen, Tuan Lam,Pham, Thi Quynh Nga,Hoang, Van Minh,Kim, Bao Giang,Phan, Thi Hai,Doan, Thu Huyen,Nguyen, Thuy Linh,Duong, Khanh Van,Luong, Ngoc Khue Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup1

Second-hand tobacco smoke (SHS) exposure at home, especially among children, is a serious issue in Viet Nam. During the past decade, much effort has been taken for tobacco control in the country, including various prgorammes aiming to reduce SHS exposure among adults and children. This article analysed trends and factors associated with SHS exposure at home among school children aged 13-15 in Viet Nam, using the Global Youth Tobacco Surveys conducted in 2007 and 2014. Descriptive and inferential statistical methods with logistic regression were applied. Overall, there was a significant reduction in the level of exposure, from 58.5% (95%CI: 57.6-59.3) in 2007 to 47.1% (95%CI: 45.4-48.8) in 2014. Of the associated factors, having one or both parents smoking was significantly associated with the highest odds of SHS exposure at home (OR=5.0; 95%CI: 4.2-6.1). Conversely, having a mother with a college or higher education level was found to be a protective factor (OR=0.5; 95%CI: 0.3-0.8).