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The Impact of Contingency Factors on Management Accounting Practices in Vietnam
PHAM, Duc Hieu,DAO, Thi Huong,BUI, Tien Dung Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.8
The aim of this study is two-fold. Firstly, it attempts to assess the level of management accounting practices (MAPs) in manufacturing companies in Vietnam. Secondly, it purports to explore the impact of potential contingency factors on the current level of MAPs in the sample of studied companies from the industrial sector in Vietnam. The study examines the hypotheses that MAPs in Vietnamese manufacturing firms are affected by a range of contingent variables. A quantitative research was conducted by sending questionnaires to the target respondents that comprise both accountants and managers in 160 manufacturing enterprises in the north of Vietnam. The first main findings from the study reveal that MAPs in Vietnam are mainly traditional rather than contemporary ones, and oriented toward the short-term rather than the long-term. The second main research findings resulted from multiple regression model show that MAPs in Vietnam are significantly affected by company size, commitment of directors, advanced manufacturing technology, and distinct number of products. However, no significant associations are found between MAPs and intensity of competition from the emerging market as hypothesized in this study. Research findings are bases for recommendations to promote the application of contemporary practices and enhance management accounting functions in manufacturing companies in Vietnam.
Tien-Dung Chu,Thi-Thuy-Phuong Doan,Duy-Truong Quach,Xuan-Tuyen Nguyen,Tuan-Son Nguyen,Duc-Thang Pham,Dong-Hyun Kim 한국자기학회 2020 Journal of Magnetics Vol.25 No.1
In this research, a simple method has been presented to synthesize the magnetic - semiconductor Fe₃O₄/TiO₂ heterostructure nanocomposites via three steps: firstly, synthesis of Fe₃O₄ nanoparticles by co-precipitation method; thereafter, formation of Fe₃O₄/TiO₂ composites by sol-gel method; finally, annealing to form Fe₃O₄/TiO₂ anatase (denoted as Fe₃O₄/TiO₂-A) and Fe₃O₄/TiO₂ rutile (denoted as Fe₃O₄/TiO₂-R) heterostructure nanocomposites, respectively. The results of X-ray diffraction, transmission electron microscopy, and energy-dispersive X-ray spectroscopy show that the Fe₃O₄/TiO₂-A and Fe₃O₄/TiO₂-R heterostructure nanocomposite samples contain both magnetite (Fe₃O₄) and semiconductor TiO₂ (anatase or rutile phase, respectively). The asprepared nanocomposite samples exhibit superparamagnetic properties at room temperature with high saturation magnetization (Ms) above 19.5 emu/g at the applied magnetic field of 11 kOe. Moreover, the Fe₃O₄/TiO₂-A and Fe₃O₄/TiO₂-R heterostructure nanocomposites with a low band gap energy of 2.89 eV and 2.81 eV, respectively, are promising to enhance the performance of photocatalytic activities in the visible light region for application in wastewater treatment.
Pham, Hiep-Hung,Vuong, Quan-Hoang,Dong, Thi-Kieu-Trang,Nguyen, Tien-Trung,Ho, Manh-Toan,Vuong, Thu-Trang,Hoang, Anh-Duc,Nguyen, Mai-Huong World Association for Triple Helix and Future Stra 2021 Journal of Contemporary Eastern Asia Vol.20 No.1
Traditionally, students from the Southern world tend to cross their national borders to study abroad. However, in recent times, we have observed a trend in which more and more students, both full-time and short-term, select Southern countries as destinations for overseas education. This paper contributes to the sparse literature on the above phenomenon, examining the case of Vietnam. We surveyed 50 universities and colleges about their international student profiles (including statistics and nationalities) and their strategies for attracting international students. The findings of this study provide implications for Vietnam's policymakers and university/college leaders and other Southern countries when implementing the internationalization of tertiary education.
Empirical evaluations for predicting the damage of FRC wall subjected to close-in explosions
Duc-Kien Thai,Thai-Hoan Pham,Duy-Liem Nguyen,Tran Minh Tu,Phan Van Tien 국제구조공학회 2023 Steel and Composite Structures, An International J Vol.49 No.1
This paper presents a development of empirical evaluations, which can be used to evaluate the damage of fiberreinforced concrete composites (FRC) wall subjected to close-in blast loads. For this development, a combined application of numerical simulation and machine learning approaches are employed. First, finite element modeling of FRC wall under blast loading is developed and verified using experimental data. Numerical analyses are then carried out to investigate the dynamic behavior of the FRC wall under blast loading. In addition, a data set of 384 samples on the damage of FRC wall due to blast loads is then produced in order to develop machine learning models. Second, three robust machine learning models of Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) are employed to propose empirical evaluations for predicting the damage of FRC wall. The proposed empirical evaluations are very useful for practical evaluation and design of FRC wall subjected to blast loads.
Han Thi Vo,Tien Duc Dao,Tuyen Van Duong,Tan Thanh Nguyen,Binh Nhu Do,Tinh Xuan Do,Khue Minh Pham,Vinh Hai Vu,Linh Van Pham,Lien Thi Hong Nguyen,Lan Thi Huong Le,Hoang Cong Nguyen,Nga Hoang Dang,Trung 질병관리청 2024 Osong Public Health and Research Persptectives Vol.15 No.1
Objectives: The incidence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a “social vaccine” that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association.Methods: A cross-sectional study was conducted at 18 hospitals and health centers in Vietnam from December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (using the 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions.Results: Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD. Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.68; 95% confidence interval [CI], 1.63–2.12; p<0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p=0.001). Compared to those with long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96–0.99; p=0.001).Conclusion: Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.
Duyen Ha Thi Kim,Tien Ngo Manh,Cuong Nguyen Manh,Nhan Duc Nguyen,Dung Pham Tien,Manh Tran Van,Minh Phan Xuan 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.4
The paper proposes the method to deal with control problems of unmodeled components of the fourwheeled Omni-directional mobile robot. It is commonly challenging to design a model-based control scheme to achieve smooth movement in the tracking process due to the unknown elements in the mathematical model of the robot or external disturbances. Our main contribution focuses on designing an adaptive controller based on neural networks with online weight updating laws and Fuzzy logic to guarantee the high accuracy of the robot’s movement when the unknown factors adversely affect the robot control. At the initial step, a Dynamic Surface Control plays a role as a core of the controller for the robot system. Then, with the ability to estimate the appropriate value for uncertain nonlinear parts, a Radial Basis Function Neural Network is designed. Finally, a Fuzzy law is to utilize control parameters in each period to increase the adaptive behavior of the system. The stability and convergence of the system are proven by the Lyapunov’s stability theory. The simulation results illustrate the validity and the efficiency of the proposed control algorithm when the system is lack of robot model’s information.
Cuong Manh Vu,Dinh Duc Nguyen,Le Hoang Sinh,최형진,Tien Duc Pham 한국고분자학회 2018 Macromolecular Research Vol.26 No.1
The waste produced by bamboo stick production processing was collected from a Vietnamese craft village and used as a source of microfibril cellulose (MFC) for a filler of unsaturated polyester (UP) resin based composites in this study. A mixture of MFC in UP was obtained by directly introducing the bamboo pulp into UP resin followed by a grinding process using a ball-grinding machine. A master batch method was also adopted for composite preparation, in which a high-content solution of MFC in UP resin was first fabricated and then diluted to prepare another solution with the desired content. Morphology and mechanical characteristics of UP resin based composites were investigated. Effect of different methods of preparation, such as hand lay-up and vacuum bagging methods, on the mechanical properties of glass fiber reinforced UP resin composites was also examined, showing that the tensile strength of composite materials with 0.3 wt% MFC was increased by 10.24% (for the hand lay-up method) and 19.62% (for the vacuum bagging method) when compared with the pristine composite material. The flexural strength increased from 192.40 MPa to 208.63 MPa and the impact strength increased by 19.6% from 158.28 kJ/m2 to 186.84 kJ /m2 for the hand lay-up method.