Tourism Cooperation between Vietnam and India

Trang Thu NGUYEN(Trang Thu NGUYEN ) 한국유통과학회 2023 Asian Journal of Business Environment (AJBE) Vol.13 No.1

Purpose: This study aims to understand the potential of destinations, accessibility and accommodation services of Vietnam and India for the purpose of cooperation in tourism development. Research design, data and methodology: The data was mainly based on Tourism statistics at a glance of India Vietnam National Administration of Tourism, and Ministry of Culture, Sports and Tourism of Vietnam between the two countries. The qualitative research was supported by a case study methodology. Documentary sources were used as collection instruments, which allowed the characterisation of Vietnam - India as well as interviews applied within a focus group, supported by a semi-structured script. Result: The results of the study indicate that Vietnam - India understand the importance of cooperation to obtain synergies that ensure the development of tourism; Government of two countries recognize and identify a set of benefits associated with cooperation and have a collective awareness of some of the difficulties associated with it, but which do not necessarily prevent their willingness to cooperate. Conclusion: The strength of tourism development between the two countries is great, in which the relationship between “attractive force - propulsive force” is not commensurate with the tourism potential of Vietnam - India.

Continuous Behavior of Using Food Delivery Mobile Applications in Vietnam after Covid-19 Pandemic

Ha Thu LUONG(Ha Thu LUONG ),Nhi Lan DAO(Nhi Lan DAO ),Trang Thu NGUYEN(Trang Thu NGUYEN ),Uyen Thu Thi LA(Uyen Thu Thi LA ),Na Thi Le TRAN(Na Thi Le TRAN ),Hoa Thi DUONG(Hoa Thi DUONG ) 한국유통과학회 2023 유통과학연구 Vol.21 No.3

Purpose: During and after Covid-19 pandemic, technology has emerged as a key factor in supporting the recovery of the economy and the rise of living standards. This study examines seven factors affecting the intention of food delivery apps usage, which include Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Price Value, and Habit, and how much influence they have on the customers' behavioral continuance of food delivery apps after Covid-19 Pandemic. Research methodology: This research is a quantitative descriptive research with 473 qualified respondents from 550 respondents collected. Besides using the UTAUT2 model (Venkatesh et al., 2012), Information Quality was added to give a better explanation for the consumers’ intention towards continuance behavior using food delivery apps. The collected data is then processed using SPSS 22.0. Results: Habit factors and Information Quality factors have significant positive effects on promoting food delivery apps usage intention, which in turn influences continuance behavior. In addition, Habit factors and Information Quality factors together have an effect of 48.57% on Behavioral Intention. Conclusion: The result proves that positive habits and food information quality can increase the usage intention towards the behavioral continuance of consumers. Higher usage frequency can be improved by increasing these two factors.

Tourism Cooperation between Vietnam and India

NGUYEN, Trang Thu Korea Distribution Science Association 2023 Asian journal of business environment Vol.13 No.1

Purpose: This study aims to understand the potential of destinations, accessibility and accommodation services of Vietnam and India for the purpose of cooperation in tourism development. Research design, data and methodology: The data was mainly based on Tourism statistics at a glance of India Vietnam National Administration of Tourism, and Ministry of Culture, Sports and Tourism of Vietnam between the two countries. The qualitative research was supported by a case study methodology. Documentary sources were used as collection instruments, which allowed the characterisation of Vietnam - India as well as interviews applied within a focus group, supported by a semi-structured script. Result: The results of the study indicate that Vietnam - India understand the importance of cooperation to obtain synergies that ensure the development of tourism; Government of two countries recognize and identify a set of benefits associated with cooperation and have a collective awareness of some of the difficulties associated with it, but which do not necessarily prevent their willingness to cooperate. Conclusion: The strength of tourism development between the two countries is great, in which the relationship between "attractive force - propulsive force" is not commensurate with the tourism potential of Vietnam - India.

PLEKHG3 enhances polarized cell migration by activating actin filaments at the cell front

Nguyen, Trang Thi Thu,Park, Wei Sun,Park, Byung Ouk,Kim, Cha Yeon,Oh, Yohan,Kim, Jin Man,Choi, Hana,Kyung, Taeyoon,Kim, Cheol-Hee,Lee, Gabsang,Hahn, Klaus M.,Meyer, Tobias,Heo, Won Do National Academy of Sciences 2016 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF Vol.113 No.36

<P>Cells migrate by directing Ras-related C3 botulinum toxin substrate 1 (Rac1) and cell division control protein 42 (Cdc42) activities and by polymerizing actin toward the leading edge of the cell. Previous studies have proposed that this polarization process requires a local positive feedback in the leading edge involving Rac small GTPase and actin polymerization with PI3K likely playing a coordinating role. Here, we show that the pleckstrin homology and RhoGEF domain containing G3 (PLEKHG3) is a PI3K-regulated Rho guanine nucleotide exchange factor (RhoGEF) for Rac1 and Cdc42 that selectively binds to newly polymerized actin at the leading edge of migrating fibroblasts. Optogenetic inactivation of PLEKHG3 showed that PLEKHG3 is indispensable both for inducing and for maintaining cell polarity. By selectively binding to newly polymerized actin, PLEKHG3 promotes local Rac1/Cdc42 activation to induce more local actin polymerization, which in turn promotes the recruitment of more PLEKHG3 to induce and maintain cell front. Thus, autocatalytic reinforcement of PLEKHG3 localization to the leading edge of the cell provides a molecular basis for the proposed positive feedback loop that is required for cell polarization and directed migration.</P>

Application of Polyethylene/Modified Fly Ash/Ultra Flow Agent Composites in Vietnam

Nguyen Thuy Chinh,Nguyen Thi Thu Trang,Tran Thi Mai,Nguyen Vu Giang,Tran Huu Trung,Mai Duc Huynh,Thai Hoang 한국고분자학회 2019 한국고분자학회 학술대회 연구논문 초록집 Vol.44 No.1

Implementation of Subsequence Mapping Method for Sequential Pattern Mining

Nguyen Thu Trang,Bum Ju Lee,Heon Gyu Lee,Jeong Seok Park,Keun Ho Pyu 大韓遠隔探査學會 2006 大韓遠隔探査學會誌 Vol.22 No.5

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

3PL Selection Criteria for Beverage Industry in FMCG Market Focusing on the North and the South of Vietnam : An Approach by AHP Methodology

Thu Trang Nguyen,Hong Gyue Park 충남대학교 경영경제연구소 2020 경영경제연구 Vol.42 No.4

매우 빠르게 성장하고 있는 베트남의 제 3자 물류시장의 등장은 음료와 FMCG 시장의 새로운 성장원동력으로 작용하고 있다. 그중에서도 가장 중요한 것이 제 3자 물류 파트너의 선정인데 이것은 다양한 종류의 선정기준들을 요구하고 있다. 이 연구는 그러한 선정기준에 있어서 어떤것이 가장 중요한 것인지를 살펴보고 그중에서도 어떠한 요소가 가장 중요한지에 대하여 AHP 방법론을 적용하여 살펴보았다. 특히, 베트남의 남북간 시장의 차이를 규명하고 기준의 차이를 통한 전략적 방안에 대하여 논의하였다. 주요한 연구결과로 운영적 측면이 가장 중요하다고 볼 수 있으며 비용, 부가가치 서비스 및 비가시적 가치 순으로 중요성이 차이가 있음을 알 수 있었다. 이러한 결과를 바탕으로 베트남 물류시장의 진출이 커지고 있는 상황에서 어떠한 요소들을 중심으로 서비스를 제공할 것인지에 대한 지침을 제시하였다. The emergence of third-party logistics providers could be considered as a key for new development stage of FMCG market in general and beverage industry, specifically. The selection of 3PL partner to collaborate requires the involvement of different departments as well as the complex and comprehensive set of selection criteria. This paper aims at finding out the prioritization of possible selection criteria which are used to choose an appropriate 3PL vendor in Vietnam beverage industry by applying AHP methodology - the approach based on the evaluation of experts in the field. The analysis result shows that the most important criteria in selecting the 3PL providers is operation performance, then it is followed by cost, value added services and intangible value.

Spatial-temporal distribution of hexabromocyclododecanes (HBCDDs) in multiple environmental matrices from Masan Bay, Korea

Trang Thi Thu Nguyen,Hyun-Kyung Lee,Chang-Hwa Lee,Hyo-Bang Moon 환경독성보건학회 2022 한국독성학회 심포지움 및 학술발표회 Vol.2022 No.5

Preparation of gamma poly-glutamic acid/hydroxyapatite/collagen composite as the 3D-printing scaffold for bone tissue engineering

Thu-Trang Nguyen,Chih-Chien Hu,Rajalakshmi Sakthivel,Sasza Chyntara Nabilla,Yu-Wen Huang,Jiashing Yu,Nai-Chen Cheng,Yi-Jie Kuo,Ren-Jei Chung 한국생체재료학회 2022 생체재료학회지 Vol.26 No.2

Background: All types of movements involve the role of articular cartilage and bones. The presence of cartilage enables bones to move over one another smoothly. However, repetitive microtrauma and ischemia as well as genetic effects can cause an osteochondral lesion. Numerous treatment methods such as microfracture surgergy, autograft, and allograft, have been used, however, it possesses treatment challenges including prolonged recovery time after surgery and poses a financial burden on patients. Nowadays, various tissue engineering approaches have been developed to repair bone and osteochondral defects using biomaterial implants to induce the regeneration of stem cells. Methods: In this study, a collagen (Col)/γ-polyglutamate acid (PGA)/hydroxyapatite (HA) composite scaffold was fabricated using a 3D printing technique. A Col/γ-PGA/HA 2D membrane was also fabricated for comparison. The scaffolds (four layers) were designed with the size of 8 mm in diameter and 1.2 mm in thickness. The first layer was HA/γ-PGA and the second to fourth layers were Col/γ-PGA. In addition, a 2D membrane was constructed from hydroxyapatite/γ-PGA and collagen/γ-PGA with a ratio of 1:3. The biocompatibility property and degradation activity were investigated for both scaffold and membrane samples. Rat bone marrow mesenchymal stem cells (rBMSCs) and human adipose-derived stem cells (hADSCs) were cultured on the samples and were tested in-vitro to evaluate cell attachment, proliferation, and differentiation. In-vivo experiments were performed in the rat and nude mice models. Results: In-vitro and in-vivo results show that the developed scaffold is of well biodegradation and biocompatible properties, and the Col-HA scaffold enhances the mechanical properties for osteochondrogenesis in both in-vitro and animal trials. Conclusions: The composite would be a great biomaterial application for bone and osteochondral regeneration.

Applying Machine Learning approaches to predict High-school Student Assessment scores based on high school transcript records

Nguyen Ba Tiến,Hoai-Nam Nguyen,Hoang-Ha Le,Tran Thu Trang,Chau Van Dinh,Ha-Nam Nguyen,Gyoo Seok Choi 한국인터넷방송통신학회 2023 International Journal of Internet, Broadcasting an Vol.15 No.2

A common approach to the problem of predicting student test scores is based on the student's previous educational history. In this study, high school transcripts of about two thousand candidates, who took the High-school Student Assessment (HSA) were collected. The data were estimated through building a regression model - Random Forest and optimizing the model's parameters based on Genetic Algorithm (GA) to predict the HSA scores. The RMSE (Root Mean Square Error) measure of the predictive models was used to evaluate the model’s performance.