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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.
Detecting user status from smartphone sensor data
Thu-Trang Nguyen,Thi-Hau Nguyen,Ha-Nam Nguyen,Duc-Nhan Nguyen,GyooSeok Choi 국제문화기술진흥원 2016 International Journal of Advanced Culture Technolo Vol.4 No.1
Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.
Detecting user status from smartphone sensor data
Nguyen, Thu-Trang,Nguyen, Thi-Hau,Nguyen, Ha-Nam,Nguyen, Duc-Nhan,Choi, GyooSeok The International Promotion Agency of Culture Tech 2016 International Journal of Advanced Culture Technolo Vol.4 No.1
Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.
Hoang Anh Nguyen,Thi Nam Pham,Le Thanh Nguyen Huynh,Tran Ha Trang Nguyen,Viet Hai Le,Nguyen Thai Hoang,Thi Thom Nguyen,Thi Thu Trang Nguyen,Dai Lam Tran,Thi Mai Thanh Dinh The Korean Electrochemical Society 2024 Journal of electrochemical science and technology Vol.15 No.2
Due to its high theoretical capacity, Silicon (Si) has shown great potential as an anode material for lithium-ion batteries (LIBs). However, the large volume change of Si during cycling leads to poor cycling stability and low Coulombic efficiency. In this study, we synthesized Si/Carbon C45:Graphene composites using a ball-milling method with a fixed Si content (20%) and investigated the influence of the C45/Gr ratio on the electrochemical performance of the composites. The results showed that carbon C45 networks can provide good conductivity, but tend to break at Si locations, resulting in poor conductivity. However, the addition of graphene helps to reconnect the broken C45 networks, improving the conductivity of the composite. Moreover, the C45 can also act as a protective coating around Si particles, reducing the volume expansion of Si during charging/discharging cycles. The Si/C45:Gr (70:10 wt%) composite exhibits improved electrochemical performance with high capacity (~1660 mAh g<sup>-1</sup> at 0.1 C) and cycling stability (~1370 mAh g<sup>-1</sup> after 100 cycles). This work highlights the effective role of carbon C45 and graphene in Si/C composites for enhancing the performance of Si-based anode materials for LIBs.
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>
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.
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.