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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.
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.
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>
NGUYEN Dang Thu Cuc,TRAN Thi Huong Trang 서울대학교 아시아태평양법연구소 2018 Journal of Korean Law Vol.18 No.1
Being a member of the Convention on Biological Diversity (CBD)since 1994, being 31st member of the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization (NP) since 2014, Vietnam is making its efforts to improve ABS legislation and policy to implement the NP. A master scheme on capacity building on ABS adopted by Prime Minister Nguyen Xuan Phuc was issued in 2016 to implement ABS was promulgated. Decree No. 59/2017/ND-CP, dated May 12, 2017, on the management of access to Genetic Resources (GRs) and the sharing of benefits arising from their utilization (Decree 59) made an important remark in development of ABS law and policy in Vietnam. This Decree covers all basic issues of ABS, detailing the Law on Biodiversity, which was promulgated in 2008 and internalizing the NP in ABS national law. These include essential elements: determining scope definitions, main actors: providers, users, national focal points (NFP), national competent agencies (NCA), benefit sharing, compliance. In spite of important achievements in ABS law development and implementation to date, there remain some weaknesses and shortcomings within the legal system, institutions to facilitate ABS law being implemented well in practice. There are not only the gaps between laws, unclear demarcation of inter-ministerial assigned issues, but also limitation in terms of capacity and awareness of involved actors on ABS issues. This article aims to analyze all these above mentioned points, recommends improving ABS law and policy as well as provides suggestion to overcome limitation.
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.
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.
Implementation of Subsequence Mapping Method for Sequential Pattern Mining
Trang Nguyen Thu,Lee Bum-Ju,Lee Heon-Gyu,Park Jeong-Seok,Ryu Keun-Ho The Korean Society of Remote Sensing 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.