Tạp chí Khoa học và kỹ thuật trường Đại học Bình Dương

Applying a hybrid RNN-LSTM model in forecasting Vietnam's GDP per capita

2025-06-28T22:18:53+07:00

Traditional GDP forecasting approaches often face limitations due to their reliance on statistical techniques that depend on economic survey data and the stationarity of time series, conditions which are challenging to meet in practice. Complex characteristics such as seasonality, sudden fluctuations, and external influences contribute to instability and low accuracy in these forecasting models. This study aims to propose a hybrid model combining RNN and LSTM to leverage the strengths of each approach, significantly improving the forecasting accuracy of per capita GDP in Vietnam. The research results indicate that the proposed RNN-LSTM hybrid model demonstrates robust generalization capabilities, providing stable predictions of per capita GDP based on macroeconomic variables. Its forecasting performance is significantly superior to CNN, RNN, and LSTM models.

Factors affecting the financial performance of Vietnamese joint-stock commercial banks

2025-06-28T22:31:33+07:00

This study examines the factors affecting the financial performance of commercial banks
in Vietnam during the period 2015–2023. By combining macroeconomic variables and bankspecific variables, the study employs multiple regression models to explore their impact on financial
indicators such as ROA, ROE, and NIM. The results show that the debt-to-equity ratio has a positive
impact on ROA and NIM, indicating that financial leverage helps banks increase profitability.
However, this ratio is not significant for ROE. Bank size also has a significantly positive effect on
ROA, ROE, and NIM, confirming that larger banks can better optimize their resources. Conversely,
the non-performing loan ratio has a strong negative impact on ROA and ROE, while it does not
significantly affect NIM. This suggests that bad debts reduce banks' profitability but have little
impact on the net interest margin. Finally, bank age has a negative but insignificant impact on ROA
and NIM, indicating that older banks may face challenges in innovation and performance
optimization. Macroeconomic factors such as GDP and inflation are not statistically significant in
any of the three models, suggesting that they do not have a substantial impact on the financial
performance of banks during the study period.

Factors affecting the work motivation of direct laborers at small and medium wood enterprises in Binh Duong region

2025-06-28T22:38:15+07:00

Direct workers in the Binh Duong wood industry play a very important role thanks to their
motivation to work in the context of increasing competition and high efficiency requirements. This study
is based on the theory of planned behavior by Ajzen (1985), expanded with factors such as salary regime,
work culture, colleague relations, recognition and professional development to overcome the limitations
of TPB in predicting complex behavior. These factors promote positive attitudes, dedication and labor
productivity, surveyed through a 5-point Likert scale and analyzed using the SPSS model. The research
results provide an important basis for managers to build effective human resource policies, increase output
and develop human resources in the Binh Duong wood industry in a sustainable direction.

Factors influencing the demand for psychological counseling among senior students at Van Lang University

2025-06-28T22:46:14+07:00

This study explores the factors influencing the demand for psychological counseling among
senior students at Van Lang University. Using SPSS for data analysis, five initial hypotheses were tested
and accepted. The results indicate that academic pressure, interpersonal communication, personal
development challenges, awareness of the benefits of counseling, and university culture all show
statistically significant and positive correlations with students’ psychological counseling needs.
Regression analysis identified personal development difficulties and academic pressure as the most
influential factors. This reflects the practical needs of senior students in seeking psychological support
and career guidance as they prepare for the post-graduation phase. The study also compares its findings
with AI-generated citation data from Scite.ai, thereby reinforcing the academic relevance of the key
research variables

Mental health problems and their impacts in the workplace: A systematic review

2025-06-28T22:52:01+07:00

Nowadays, there is increasing recognition of workplace mental health (MH) issues as a
significant problem in many countries, which negatively impacts both spiritual and economic burdens on
employees and employers. This growing concern has attracted more research interest in how to manage
it. In this context, this report aims to identify the impacts, damages, relevant factors, and consistent
solutions that may help employees manage situations effectively and support business organizations in
reducing lost productivity through information and suggestions. The methods employed involve
reviewing academic articles, newspapers, and statistical data from several scholars in different countries
to seek the essential correlation between workplace components and MH problems. This approach
highlights the practical approaches of relevant parties to ensure healthier workplace priorities and
improved quality of life for employees. Implementing comprehensive psychological health programs in
the workplace is critical for supporting employee well-being and organizations’ productivity. This report
also provides recommendations for practical implications and contributes to the growing body of MH
research.

Analysis of the impact of environmental taxes, renewable energy, green finance, trade openness, and structural changes on CO2 emissions in Vietnam

2025-06-28T22:58:04+07:00

The study analyzes the impact of green finance (GF), renewable energy (REN), environmental
taxes (TAX), trade openness (TRA), and structural changes (SER) on CO₂ emissions in Vietnam from
2000 to 2023 using wavelet analysis and wavelet quantile regression. The results uncover a bidirectional
causal association between these indicators and CO₂ emissions in Vietnam. In addition, renewable energy
positively affects environmental quality; environmental taxes, trade openness, and structural changes
have negative environmental impacts; and green finance would contribute positively to the environment
in the long run - term. Based on these findings - In light of these findings, we provide policy implications
aligned with Vietnam’s practical context and sustainable development goals.

The impact of digital transformation on business strategies of seafood enterprises - The case of Ca Mau province

2025-06-30T11:15:26+07:00

The study focused on the level of digital transformation application and the impact of this
process on the business strategy of seafood enterprises in Ca Mau province. Based on a survey of 103
enterprises and analysis of qualitative and quantitative data, the study showed that the level of digital
transformation in the seafood industry is still uneven, mainly concentrated in large-scale enterprises,
while the majority of small and medium-sized enterprises have only stopped at the initial stage of applying
technology to some specific stages such as accounting, traceability or order management. Digital
transformation has initially created positive changes in business strategy, helping to improve productivity,
reduce costs and expand the market. However, businesses are still facing many challenges such as a
shortage of technology human resources, financial constraints and a lack of a clear digitalization strategy.
The topic also proposes a group of solutions on policies, training and technology investment to promote
comprehensive digital transformation, helping seafood enterprises in Ca Mau improve their
competitiveness in the context of the digital economy.

The impact of credit risk on the business performance of commercial banks in Vietnam

2025-06-30T11:33:11+07:00

This study examines the impact of credit risk on the business performance of commercial
banks in Vietnam from 2013 to 2023. Commercial banks play a crucial role in the modern economy, not
only as financial intermediaries but also as key providers of credit to the economy. Credit activities
constitute a significant portion of banks' income, making credit risk management essential for evaluating
their business performance. This research employs quantitative regression models, including the Pool
(OLS), Fixed Effects Model (FEM), Random Effects Model (REM), and Feasible Generalized Least
Squares (FGLS), to analyze data from 27 commercial banks operating in Vietnam. The findings indicate
that credit risk significantly impacts the banks' business performance, especially in terms of managing
bad debts and credit provisions. Based on these results, the study proposes solutions to mitigate credit risk
and improve business performance, contributing to the stability and sustainable development of the
banking system in Vietnam.

The effect of financial leverage on corporate value: A study from the food and beverage industry in Vietnam

2025-06-30T11:44:54+07:00

Financial leverage is one of the crucial corporate policies that indicate the proportion of debts
to total firm assets. This paper investigates the effect of financial leverage on firm value in the Vietnam’s
food and beverage industry. The study employs data of food and beverage public companies listed on the
Vietnamese Stock Exchanges in the period 2014 – 2020. Numerous analysis methods are used including
pool OLS, fixed effect and random effect models. The results of this paper reveal that financial leverage
has a positive effect on corporate value in food and beverage industry in Vietnam. Firm size exerts a
positive effect on firm value. The findings show that asset tangibility and firm profitability have
significant and positive relationship with firm value. The research results are useful for planning financial
leverage policies.

Digital currency - The driving force of development and its comprehensive impact on the socio-economic system

2025-06-30T15:03:29+07:00

In the context of the global digital revolution, digital currencies, including
cryptocurrencies such as Bitcoin, Ethereum, USDT and Central Bank Digital Currency (CBDC)
projects, are gradually asserting their important role in reshaping the modern financial system. This
trend has not only attracted the attention of developed countries such as the US, China and the EU
but has also been promoted in developing countries such as Vietnam. According to statistics, the
total capitalization of the global cryptocurrency market has surpassed the 2.87 trillion USD mark in
2024, while about 21.2% of Vietnam's population has ever traded or invested in cryptocurrencies.
This article will present an overview of the market, analyze the impact of digital currencies on the
socio-economy and propose development trends as well as specific policy recommendations.

Factors affecting the quality of training and development of employees working at small and medium enterprises belonging to the Ho Chi Minh city enterprise association

2025-06-30T15:45:00+07:00

The article focuses on researching "Factors affecting the quality of training and development
of employees working at small and medium enterprises under the Ho Chi Minh City Business
Association". By collecting, synthesizing and analyzing data from 350 survey forms of employees
working at small and medium enterprises, the author proposed 5 factors affecting the quality of training
and development of employees including: Development orientation of employees at the enterprise;
Working environment conditions; Professional and skill requirements of the job position; Socioeconomic development policies of the Government and Labor migration trends. Through the research,
businesses will have more information and assessments from the perspective of employees, thereby being
able to make adjustments and develop policies related to training and development policies to suit the
actual situation and help maximize efficiency at the enterprise.

Applying AppSheet and Python for practical customs declaration training in the Logistics industry

2025-06-30T17:46:57+07:00

This article presents the integration of AppSheet and Python in teaching customs declaration
procedures at universities. The goal is to improve the quality of education through modern technology.
The methods include designing an AppSheet application development course and using Python
programming to simulate real-world scenarios. The results showed significant improvements in student
learning performance, with notable advantages over traditional teaching methods. Conclusion:
Recommendations are made for broader application in education.

Supplier Evaluation and Selection by Using the Analytic Hierarchy Process (AHP): A case study

2025-06-30T17:58:12+07:00

Supplier selection is a critical activity in the supply chain, directly affecting a company’s
business performance. One of the effective methods for evaluating and selecting suppliers in multi-criteria
decision-making problems is the Analytic Hierarchy Process (AHP). This study employs a quantitative
approach to assess and select suppliers for a company in Vietnam. The findings demonstrate that AHP is
an effective tool for supplier selection. Furthermore, the study suggests future research directions by
integrating AHP with other methods to enhance decision-making accuracy.

Fintech adoption in Vietnam: The moderating role of explainable artificial intelligence

2025-06-30T19:43:16+07:00

This study examines the importance of Explainable Artificial Intelligence (XAI) in
promoting the acceptance of financial technology (Fintech) in Vietnam. It emphasizes that XAI is
not only a technical factor but also a crucial element in building trust and facilitating Fintech adoption in
the country. In the context of the rapidly growing Fintech sector, the transparency and interpretability of
AI algorithms are essential for fostering consumer trust. In Vietnam, the development of the Internet
and technology has been strong in recent years, however, some consumers are still hesitant to use
Fintech applications for a number of reasons, among which security is a factor that users are concerned
about. Users are more inclined to accept financial technologies when they understand how AI operates
and its decisions. Clear explanations enhance users' confidence in utilizing Fintech services,
improving their experience and satisfaction. The research indicates that providing transparent
information about the functioning of AI can increase the likelihood of Fintech acceptance, particularly in
areas such as online lending and investment management. The findings reveal that factors such as
Financial Literacy, Financial Satisfaction, Usefulness, and Brand Image have a positive impact on
Fintech adoption. In contrast, Security and Ease of Use do not significantly influence Fintech
acceptance. This research result helps businesses to refer to and have a strategy to integrate XAI into
Fintech applications to attract customers to accept Fintech to optimize profits.

2025-06-30T21:03:28+07:00

Table of content

Survey on the use of drugs to treat gastric and duodenal ulcers at Thuan Thao General Clinic

2025-06-30T20:49:13+07:00

Gastric and duodenal ulcers are chronic, cyclical diseases that recur and cause many dangerous
symptoms. The disease is not only common in developing countries but also in developed countries.
Currently, the use of drugs in a reasonable - safe - effective manner is always a top concern of the medical
profession. Therefore, "Survey on the use of drugs to treat gastric and duodenal ulcers at Thuan Thao
General Clinic" was conducted. Results: Most of the patients are female, with an average age of 39.36 ±
12.40. Gastritis is a common disease group (80.05%) with the main symptom being pain in the epigastric
region. The most commonly used main treatment group is PPI (86.11%). The commonly used treatment
regimen is clarithromycin + amoxicillin + PPI (95.12%), the treatment time is mostly during the
promotional period (83.59%). Most of the interactions were moderate and mild, requiring PPI and iron
regimens. Regarding treatment efficacy, 57.07% of patients were supportive, 33.84% of patients were
cured, and a small number of patients had no change in their condition, accounting for 9.09%.

Review on antimicrobial combination of sulbactam/durlobactam

2025-06-30T20:53:07+07:00

Sulbactam/durlobactam, is a co-packaged antibacterial drug that was approved for the
treatment of infections caused by Acinetobacter baumannii-calcoaceticus complex. Co-administration of
durlobactam with sulbactam prevents sulbactam degradation by β-lactamases. In May 2023, this β-
lactam/β-lactamase inhibitor combination was approved in the United States of America for use in
patients 18 years of age and older for the management of hospital-acquired bacterial pneumonia and
ventilator-associated bacterial pneumonia caused by susceptible isolates of Acinetobacter baumanniicalcoaceticus complex. This review summarizes the mechanism, clinical studies, pharmacology, and
interaction of sulbactam/durlobactam

Overview of birch triterpenes

2025-06-30T21:01:01+07:00

Epidermolysis bullosa (EB) is an inherited disease of the skin that makes the skin very fragile
and causes severe blistering and scarring. Birch triterpene (BT) is used in two types of Epidermolysis
bullosa including dystrophic Epidermolysis bullosa (DEB) and junctional Epidermolysis bullosa (JEB),
to treat skin wounds. These are wounds where the upper layers of the skin have been damaged. Birch
triterpene is indicated for the treatment of partial thickness wounds associated with dystrophic and
junctional EB in people aged six months of age and older. The FDA (US Food and Drug Administration)
considers it to be a first-in-class medication. This review was to disscus the chemical composition,
clinical studies, uses of birch triterpenes.

Vietnam War – “Micro” approaches to human fate in the works of Hwang Sok Yong (Korea)

2025-06-30T20:10:31+07:00

As both a writer and a member of the South Korean Marine Corps during the Vietnam War,
Hwang Sok Yong experienced firsthand the horrors of that brutal period on Vietnamese soil. His deep
understanding of the war's nature and South Korea’s involvement stems from those harrowing years.
Hwang wrote about the Vietnam War as a way to re-examine the past and bear witness to what had
happened, contributing to a form of reconciliation in present-day relationships. Although the theme of the
Vietnam War has not traditionally been a prominent topic in South Korean literature, his works on this
subject have been well received by many Korean readers. This paper examines three of his short stories—
Ngôi tháp (탑, 1970), Vành mắt lạc đà (낙타눈깔, 1970), and Người trở về (돌아온 사람, 1972)—to
explore how the author approaches war through individual human fates. It aims to offer a deeper
understanding of how South Korean soldiers perceived the Vietnam War and the PTSD they suffered
upon returning home, thereby shedding light on the humanistic significance of Hwang Sok Yong’s
literature.

Enhancing brand communication effectiveness through social media in student recruitment at Binh Duong University

2025-06-30T20:14:36+07:00

The rapid development of universities in Vietnam has created numerous challenges,
particularly in improving education quality and competition among institutions. This paper focuses on
analyzing the communication strategy situation at Binh Duong University. Based on this analysis, the
research team proposes several solutions to enhance the effectiveness of the communication strategy to
attract students through social media platforms.

A Study on Determining the Parameters of the Ural - 375 Truck under Accelerated Motion

2025-06-30T19:47:04+07:00

For a long time, Ural trucks have been familiar to us in both academic settings and everyday
life. However, during operation under varying conditions and terrains, it is still necessary to perform
calculations and general evaluations of the vehicle's parameters to ensure optimal performance and engine
longevity. This paper presents the theoretical basis for constructing differential equations and a simulation
system in LabVIEW to determine key parameters of the Ural truck during acceleration, such as
acceleration rate, traction force, and more. Based on the obtained research and simulation results, it
becomes possible to evaluate the operational limits of the Ural truck during acceleration. From this,
recommendations for drivers can be made to ensure safe and efficient vehicle operation in real traffic
conditions.

Dynamic behavior of FG-TPMS sandwich plates on a Pasternak viscoelastic foundation under moving loads using Moving Element Method

2025-06-30T19:50:42+07:00

This study investigates the dynamic response of sandwich plates with a functionally graded
triply periodic minimal surface (FG-TPMS) core, supported by a viscoelastic foundation, under the
influence of moving loads. Inspired by natural biological structures, the FG-TPMS core provides a unique
artificial design known for its superior load-bearing capabilities compared to conventional frameworks.
Due to its exceptional strength-to-weight ratio, the TPMS structure delivers a lightweight yet robust
solution, optimizing material usage while ensuring high structural efficiency. The Moving Element
Method (MEM) is employed for dynamic analysis, offering notable advantages over traditional
techniques in handling moving load problems. Additionally, MEM proves effective in addressing
boundary condition sensitivity issues in TPMS-based plates. To gain deeper insight into the behavior of
FG-TPMS sandwich plates under dynamic loads, key parameters - including the minimum relative
density, the isotropic layer thickness, and the TPMS core thickness - will be comprehensively examined.