A Bibliometrics Analysis of Research on Early Childhood Education in 2022

Thi-Lam Bui,Lien – Kim Thi Tran,Thi-Tham Tran,Dung-Thi My Nguyen,Ben-Phạm,Hung-Sy Ho,Linh-Phuong Hoang,Anh-Duc Hoang The Pacific Early Childhood Education Research Ass 2024 Asia-Pacific journal of research in early childhoo Vol.18 No.2

Introduction Methodology Results Conclusion, Recommendations, and Future Research Directions This research aims to find the research focus and to highlight authors, journals, and documents on early childhood education (ECE) in 2022. This article analyzed a dataset with 1586 Clarivate Web of Science indexed articles on this topic, using descriptive, co-occurrence and thematic analyses. The authors applied the preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow to comply with the dataset. Excel, the R program in the Biblioshiny package, and VOSviewer version 1.7 were used for the descriptive and bibliographic analyses. The findings of this paper demonstrate the remarkable contribution of researchers from the United States and China in terms of research quantity and impact, as well as their collaboration with different researchers. The findings revealed four topics: language and speech; programmes, policies and their impact on children and preschool teachers; behaviour of preschool children; the quality of ECE. In addition, we figured out the top influential authors and journals. This study provided an overview of research in ECE in 2022 and highlighted essential issues that need to be focused on by ECE researchers and practitioners.

Determinants Influencing Tax Compliance: The Case of Vietnam

NGUYEN, Thi Thuy Du'o'ng,PHAM, Thi My Linh,LE, Thanh Tam,TRUONG, Thi Hoai Linh,TRAN, Manh Dung Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.2

The purpose of this paper is to ascertain the key factors affecting tax compliance among Vietnamese firms in Vietnam. We employ both qualitative and quantitative research methods. Qualitative research has been carried out through focus group discussions with ten chief accountants and tax officers. Quantitative research has been conducted through interviews with 200 firms (chief accountants or financial directors) in Vietnam. Analysis of the model includes the following stages: (i) Cronbach's test for reliability of the scale, (ii) exploratory factor analysis (EFA), (iii) confirmatory factor analysis (CFA), and (iv) structural equation model (SEM). The results of the research show that voluntary tax compliance is directly affected by the three factors of audit probability, corporate reputation and business ownership. The probability of audit and severity of sanctions have the strongest impact on tax compliance. Therefore, the tax authorities need to strengthen the inspection of tax declarations, tax payments and tax refunds of firms. The paper confirms that enforced tax compliance is directly affected by the three factors of audit probability, sanction severity and social norms. Voluntary compliance and compulsory compliance have an effect on tax compliance, though voluntary compliance has a more powerful impact.

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.

Relationships between Real Estate Markets and Economic Growth in Vietnam

My-Linh Thi Nguyen,Toan Ngoc Bui,Thang Quyet Nguyen 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.1

This study analyses the relationship between the real estate market and economic growth in Vietnam, a country with a fledgling real estate market. Research data included economic growth rate and growth rate of the real estate market in Vietnam. The research used quarterly data for the period from 2005: Q1 to 2018: Q1. With the characteristics of Vietnam, there has been no real estate index up to now; therefore, the research used data on growth rates of the real estate market. In addition, the real estate market in Vietnam is still young, so the data series is very short, which is a limitation of this research. With qualitative and quantitative methods especially with the Vector Auto Regressive (VAR) model; the results of the study indicate new findings, unlike previous studies, including: (1) The real estate market positively impacts Vietnam's economic growth, most noticeably in the second quarter lag and the fourth quarter lag, and then its trend impacts inversely; (2) The real estate market and economic growth in Vietnam have fluctuated over time with many risks that are affected by the past shocks of these factors. From these ndings, we proposed some managerial implications for managing the real estate market with economic growth in Vietnam sustainably.

The Macroeconomy and the Real Estate Market: Evidence from the Global Financial Crisis and the COVID-19 Pandemic Crisis

My-Linh Thi Nguyen,Toan Ngoc Bui 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.3

This paper investigates the impact of the macroeconomy on Vietnam real estate market (REM). The research data were collected by the authors on a quarterly basis, from the third quarter of 2004 to the last counterpart of 2020. The authors utilize the Autoregressive Distributed Lag (ARDL) approach. The results reveal that REM is negatively influenced by the macroeconomy (interest rate and global crisis) in the short run and long run. This result is completely consistent with the wealth effect theory, the Austrian Business Cycle Theory (ABC), as well as the Arbitrage Pricing Theory (APT). However, the findings in this paper are valuable empirical evidence on the impact of the macroeconomy on REM in Vietnam, a developing country with relatively nascent REM. In particular, this study has achieved novelty compared to previous studies by finding the negative impact of the global crisis on REM, where the global crisis is defined to include the global financial crisis and the Coronavirus (COVID-19) pandemic crisis. Based on this, Vietnam needs to operate macroeconomic policies flexibly and in accordance with each period in order to develop REM in a stable and sustainable manner.

Effect of Lactic Fermentation and Spray Drying Process on Bioactive Compounds from Ngoc Linh Ginseng Callus and Lactobacillus plantarum Viability

( Lieu My Dong ),( Nguyen Thi Thuy Linh ),( Nguyen Thi Hoa ),( Dang Thi Kim Thuy ),( Do Dang Giap ) 한국미생물 · 생명공학회 2021 한국미생물·생명공학회지 Vol.49 No.3

Ngoc Linh ginseng is one of the most valuable endemic medicinal herbs in Vietnam. In this study, Ngoc Linh ginseng callus was fermented by Lactobacillus plantarum ATCC 8014 (at 6, 7, and 8 log CFU/ml) to evaluate the extraction efficiency of bioactive compounds. The post-fermentation solution was spray-dried using maltodextrin with or without Stevia rebaudiana (3% and 6% v/v) as the wall material. Bioactive compounds such as polyphenols, polysaccharides, and total saponins, and L. plantarum viability during fermentation and after spray-drying, as well as under simulated gastric digestion, were evaluated in this study. The results showed that probiotic density had a significant effect on bioactive compounds, and L. plantarum at 8 log CFU/ml showed the best results with a short fermentation time compared to other tests. The total content of polyphenols, polysaccharides, and saponins reached 5.16 ± 0.18 mg GAE/g sample, 277.2 ± 6.12 mg Glu/g sample, and 4.17 ± 0.15 mg/g sample, respectively after 20 h of fermentation at the initial density of L. plantarum (8 log CFU/ml). Although there was no difference in the particle structure of the preparation, the microencapsulation efficiency of the bioactive compound in the samples containing S. rebaudiana was higher than that with only maltodextrin. The study also indicated that adding S. rebaudiana improved the viability of L. plantarum in gastric digestion. These results showed that S. rebaudiana, a component stimulating probiotic growth, combined with maltodextrin as a co-prebiotic, improved the survival rate of L. plantarum in simulated gastric digestion.

A Taguchi approach with electron-beam irradiation to optimize the efficiency of removing enrofloxacin from aqueous media

Hong Thi Bich Truong,Hiep Nghia Bui,Hieu Trung Nguyen,Thanh-Luu Pham,Duy Ngoc Nguyen,Yuan-Shing Perng,Linh Thi My Lam,Thi-Dieu-Hien Vo,Van-Truc Nguyen,Ha Manh Bui 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.4

Electron-beam (EB) irradiation was employed to degrade enrofloxacin (ENR) in an aqueous solution. Thealgal growth inhibition test revealed that ENR exhibited low toxicity against the cyanobacterium Arthrospira sp., with anEC50-96 h value of 5.17mg/L. The Taguchi design also involved finding the best optimum for ENR treatment using EB. Results revealed that the high-efficiency removal of ENR in an aqueous solution was approximately 98.53% under theoptimum conditions of an absorbed dose of 5 kGy, a pH of 5.0, and an initial ENR concentration of 10 mg/L and anH2O2 concentration of 2mM. The ERR degradation under a couple of EB irradiation and H2O2 followed pseudo-firstorderkinetics, with an R2 of ~0.970. The major degradation pathways of ENR were suggested by density functional theory,natural bond orbital calculations, and liquid chromatography-tandem mass spectrometry (LC/MS/MS) analysis. Lifecycle assessment (LCA) was also performed to evaluate the impact of the EB on removing ENR; the industrial processwas designed based on laboratory tests aimed with the ReCiPe tool. The obtained results indicated that energy consumptionand H2O2 affect environmental impacts with order human health, ecology systems, and natural resource. The LCAalso proved that EB could be a green and efficient method for eliminating pharmaceutical contaminants in water.

The Effect of the Destination Image and Tourism Experience on Satisfaction of International Tourists:Case study in Danang,Vietnam

Tran Thi My Linh,Nguyen Tran Thuy An,Ly Thi Thuong,Tran Quoc Cuong 한국문화관광학회 2018 문화관광연구 Vol.20 No.1

The thesis has proved the satisfaction of international tourists affected by the destination image and tourism experience when coming to Danang. The new point of the essay is to bring both destination image and tourism experience into the same paradigm to assess the effect of both factors on visitor satisfaction. Besides, The research finds that the factors of the destination image include: Emotional experiences, Educational experiences, Social experiences. And the elements of the travel experience to include: Environment and society, Infrastructure, Service and price, Tourism resources, Tourist atmosphere. Based on the above research results, the thesis proposes a number of solutions for the concerned parties to develop Da Nang tourism such as investing in the construction of key infrastructure for tourism, Da Nang tourism products (improving old products and developing new products). In addition, Danang tourism managers can organize tourist activities to enhance the visitors’ experience.

Proposal for the development of a national open access database in Vietnam and comparison with other Asian countries’ national literature databases

Loc My Thi Nguyen,Tien-Trung Nguyen,Thanh Thi Nghiem,Hien Thu Thi Le,Thao Phuong Thi Trinh,Thuan Van Pham,Thanh Chi Nguyen,Linh Khanh Hoang,Trung Tran 한국과학학술지편집인협의회 2020 Science Editing Vol.7 No.1

In the context of the need to ensure appropriate signalling of the publication of high-quality, international-calibre publications in Vietnam, as well as new policies to improve the quality and effectiveness of scientific research in Vietnam, it is practical to investigate the possibility of developing a national open access database (NOAD). This study aims to answer the question of whether it is necessary to establish a NOAD in Vietnam. We used document analysis to evaluate issues related to NOADs. The results of this study show the complexity, lack of consistency, and difficulty in obtaining practical statistics and assessing research and scientific records in Vietnam today. Furthermore, the findings of this study imply that it is necessary to establish a NOAD of scientific research in Vietnam. The information in this report can be used to develop a NOAD for Vietnam in particular, and for any country that lacks one in general.

ROBUST TRAFFIC LIGHT DETECTION AND CLASSIFICATION UNDER DAY AND NIGHT CONDITIONS

Phuc Manh Nguyen,Vu Cong Nguyen,Son Ngoc Nguyen,Linh My Thi Dang,Ha Xuan Nguyen,Vinh Dinh Nguyen 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10

Recently, traffic light detection and classification systems have been studied and developed to build an autonomous car by many research institutes, universities, and companies. However, the results of existing traffic light detection systems are still not stable under day and night conditions. It is difficult to detect the location of traffic light due to their small size. Moreover, traffic lights’ shapes are also similar to advertisement lights in a city road. Therefore, this paper proposed a new approach to improve the performance of existing traffic light detection systems by using the benefits of hand-crafted features and deep learning techniques. Experimental results show that the proposed system obtained the detection rate of 80% under night conditions, while the color-based density method only got the detection rate of 50.43% under night conditions.