Xylaria nigripes is a rare medicinal mushroom in the Xylariaceae family, which has long been used in traditional medicine to aid in treating conditions such as insomnia, neurasthenia, and inflammation. This fungus usually grows in an environment characterized by termite nests. Recent studies have shown that X. nigripes contains many valuable biological compounds such as polysaccharides, nucleosides, and sterols, which provide important biological effects, such as antioxidants, liver protection, immune system regulation, and diabetes treatment. In addition to pharmacological potential, many research works have focused on developing X. nigripes biomass kernel techniques under artificial culture conditions, in order to optimize growth and accumulation of active ingredients. These results not only contribute to clarifying the application potential of this mushroom in the pharmaceutical field but also create a scientific foundation for the sustainable exploitation of this rare medicinal resource.

AI is transforming English as a Foreign Language (EFL) education by facilitating personalized learning and intelligent tutoring globally. This study examines the readiness and intentions of educators in Thu Dau Mot City, Vietnam, to adopt AI in their EFL classrooms. Through surveys and interviews with 102 teachers and lecturers, results show a high perceived usefulness and intention to integrate AI (M = 4.10). However, challenges remain with moderate ease of use (M = 3.92), low confidence in AI tools (M = 3.68), and limited institutional support (M = 3.45). Qualitative insights indicate a need for systematic training and collaborative environments. The findings emphasize that successful AI adoption relies on institutional investment in training and infrastructure. Without this support, the gap between enthusiasm and actual implementation may hinder AI's transformative potential. Policymakers and educational leaders need to create structured frameworks for effective AI integration in EFL classrooms.

In this study, molecular dynamics simulations were employed to investigate the influence of pressure on the structural properties of silver (Ag) at 300K. The results reveal that an increase in pressure leads to a reduction in nearest-neighbor distance, a promotion of local ordering, and a transition from a largely disordered state to a predominantly face-centered cubic FCC crystalline structure. At intermediate pressures, both hexagonal close-packed HCP and body-centered cubic BCC phases are observed; however, these phases diminish as pressure rises, with FCC becoming the prevailing phase at higher pressures. These findings demonstrate that pressure is a key factor in driving phase transitions and improving crystallinity in metallic systems.

The application of Artificial Intelligence (AI) in education is rapidly transforming the teaching and learning landscape in Vietnam. AI technology is being integrated into various educational platforms to provide personalized learning experiences, support educators, and enhance the overall efficiency of the education system. In Vietnam, AI is utilized to develop adaptive learning programs, intelligent tutoring systems, and automated administrative processes. AI-powered tools such as virtual teaching assistants and chatbots are also being employed to offer real-time support and feedback to students. Furthermore, AI-driven data analytics is used to monitor and improve student performance and engagement levels. AI assists teachers in automating grading, reducing assessment time, and enabling speech recognition systems to evaluate students’ English-speaking skills. These innovations contribute to a more dynamic, interactive, and inclusive educational environment. However, challenges such as data privacy concerns, the digital divide, and the demand for a skilled workforce remain significant. Addressing these issues is crucial for the sustainable integration of AI into Vietnam’s education sector.

Conductivity is a crucial and widely recognized concept in material science, particularly significant in the study of low-dimensional systems. This research extends the analysis of the conductivity tensor within a quantum well with infinite potential, focusing on electron-acoustic phonon scattering. The system is subjected to two external fields: an electromagnetic wave and a laser field. The study explores the detailed effects of these external fields, noting that significant impacts occur only at high frequencies. Among the factors affecting conductivity, the amplitude of the laser field is the most influential. Additionally, when the electromagnetic wave frequency exceeds 1012 s-1, its impact on conductivity becomes considerable.

Eosinophilic gastroenteritis (EGE) is a rare condition characterized by eosinophilic infiltration into the gastrointestinal tract. Symptoms are often non-specific and gastrointestinal in nature, such as nausea, vomiting, abdominal pain, diarrhea, weight loss, and malabsorption. Diagnosis is primarily based on clinical findings, laboratory tests, imaging, and histopathological examination through endoscopic biopsy. Treatment involves corticosteroids, proton pump inhibitors (PPIs), and dietary modifications. This article presents the case of a 15-year-old male diagnosed with eosinophilic gastroenteritis with a history of cow’s milk allergy. The patient was treated with systematic corticosteroids (1mg/kg/24h), PPIs (esomeprazole 40mg/day) and elimination dietary therapy (peptide-based formula), resulting in positive clinical outcome. Through this case, we emphasize the importance of early diagnosis and appropriate management in handling this rare disorder.

Tourist motivation is a critical aspect of tourism research, providing valuable insights into why people travel and what influences their destination choices. This article aims to provide a systematic review of the leading models used to understand tourist motivation, examining both psychological and external factors that drive tourist behaviours. Key frameworks such as Maslow’s Hierarchy of Needs, Push-Pull Theory, and Iso-Ahola’s Motivation-Relaxation Model are explored to highlight the various intrinsic and extrinsic forces that motivate tourists. Additionally, models like Plog’s Psychographic Typology and the Travel Career Ladder offer valuable perspectives on how travel motivations evolve with experience and personality traits. By synthesizing these diverse models, the review not only provides a broad understanding of tourist motivation but also underscores the complexity and multidimensional nature of travel behaviour. Understanding these models is essential for tourism practitioners, as it enables more targeted marketing strategies, improved destination management, and enhanced visitor satisfaction. This article aims to contribute to a deeper understanding of the motivations that shape tourism trends and to offer a framework for future research in the field.

The paper analyzes the radial distribution power system with the series connection of FACTS devices, which is easily implemented using a formula from the power flow equation (PFE - power flow equation) with the voltage magnitude and power flow on the lines are treated as independent variables. When control variables such as the form of reactive power at nodes and lines are directly manipulated in the formulation, the application of FACTS device control operations in the power system is carried out quickly and directly. Using the ratio matrix at the nodes of a radial distribution system is primarily represented on the main diagonal to reduce computational procedures. All FACTS device models are unified under static stability conditions and can be easily integrated within the new framework through the process of "variable exchange". Using the IEEE standard system, the formulation of the formula is based on the trend on the line - Line Flow Based (LFB) by the author to provide easy implementation with multiple FACTS devices connected in the system and its efficiency.

The rising demand for automation in agriculture and manufacturing necessitates efficient, cost-effective sorting systems to replace labor-intensive manual processes. This paper introduces an innovative system integrating a Siemens S7-1200 Programmable Logic Controller (PLC), LabVIEW-based image processing, and OPC (OLE for Process Control) communication for automated tomato sorting. Utilizing real-time vision analysis, the system classifies tomatoes by color and size, offering a low-cost, scalable solution tailored for small-scale industries. A high-resolution camera captures images, processed in LabVIEW using HSV color space and size thresholds, with results relayed via OPC to the PLC, which actuates a stepper motor-driven sorting mechanism. Experimental validation in a controlled setting achieved 92% sorting accuracy and a throughput of 60 tomatoes per minute, surpassing manual sorting in speed and consistency. The modular design supports scalability to other agricultural products, enhancing its practical utility.

Asia’s financial ecosystems, while distinct from Western paradigms, remain underexplored. This study integrates cultural finance, regime-switching machine learning, and ESG asymmetries into a novel analytical framework tailored to Asia’s unique financial architecture. We develop three models: a Hybrid LSTM-GARCH for crisis forecasting, a Bayesian Structural Equation Model capturing informal institutional dynamics, and a machine learning-enhanced Difference-in-Differences model to assess ESG impacts. Theoretically, we propose the Cultural-Statistical Nexus Framework, embedding sociocultural variables into predictive finance, the concept of institutional plasticity to explain regulatory divergence, and ESG Arbitrage Theory to highlight sustainability’s dual role as risk mitigator and speculative signal. Empirically, Confucian Risk Aversion reduces corporate leverage by 15 percent, ESG adoption lowers systemic risk but increases greenwashing, and hybrid models outperform conventional tools in FX crisis prediction. Practical implications include cultural-risk-adjusted capital buffers, AI-based liquidity tools, and region-specific ESG strategies, advancing a globally inclusive paradigm of financial science.

This research investigates the effectiveness of three Maximum Power Point Tracking (MPPT) algorithms—Incremental Conductance (IC), Perturb and Observe (P&O), and Fuzzy Logic Controller (FLC)—in optimizing power output in grid-tied photovoltaic (PV) systems. Each algorithm was tested under varying environmental conditions, focusing on performance in terms of energy extraction, stability, and adaptability to fluctuating irradiance and temperature. Results indicate that FLC offers superior performance, exhibiting reduced power fluctuations and faster responsiveness to environmental changes compared to IC and P&O. These insights contribute to enhancing PV system efficiency and reliability in modern power grids.

This paper presents a method for liquid level stabilization using a fuzzy logic algorithm implemented on the PLC S7-1200. Maintaining liquid levels accurately is a critical requirement in various industrial processes to ensure safety, efficiency, and consistent product quality. The proposed approach employs fuzzy logic to manage the inherent nonlinearities and uncertainties in the system, providing robust control performance under varying operating conditions. The fuzzy controller is designed with rules and membership functions tailored to the dynamic characteristics of the liquid level system. The control logic is programmed and deployed on the Siemens PLC S7-1200, a widely used industrial automation device. Experimental results demonstrate that the fuzzy logic controller effectively stabilizes the liquid level, achieving better performance compared to traditional PID controllers in terms of response time, overshoot, and steady-state error. This study highlights the potential of integrating fuzzy logic with PLCs for advanced industrial automation applications.

This study investigates the structural and electronic properties of Au-doped silicene nanoribbons (SiNRs) under the influence of an external electric field of 0.4 eV/Å, utilizing density functional theory (DFT). The stability and structural integrity of SiNRs following Au doping are assessed, considering two distinct doping configurations: the top configuration and the valley configuration, where each unit cell incorporates a single Au atom. The formation energies of the doped systems are calculated to evaluate their thermodynamic stability based on DFT principles. Furthermore, detailed analyses of the density of states (DOS) and energy band structures are conducted. Both doping configurations exhibit metallic characteristics, indicating potential applicability in future nanoelectronic devices.

The cold gas dynamic spraying (CGDS) method enables the application of coatings with various functional properties to nearly any substrate material, facilitates the restoration of geometric dimensions of parts damaged during use, and allows for the renewal of protective anticorrosive coatings without the need for complex structural dismantling. This review describes the latest developments in the processes and applications of CGDS technology.The ease and manufacturability of the process, along with the mobility of CGDS coating systems, make it suitable for use both in industrial settings with robotic systems and in "field" environments.

This study focused on the wastewater treatment system in Thu Dau Mot City, Binh Duong, aiming to assess its operational effectiveness. The research was carried out over a period of six weeks, with data collected at regular intervals during the 1st, 2nd, 3rd, 4th, 5th, and 6th weeks. The results demonstrate that the treatment process is highly efficient, achieving impressive removal rates across multiple parameters. Specifically, the average treatment efficiency for color was 93.10%, TSS (total suspended solids) was 98.62%, COD (chemical oxygen demand) reached 93.24%, BOD5 (biochemical oxygen demand) was 99.28%, NH4+ (ammonium) removal was 99.16%, while total nitrogen and total phosphorus were treated at 87.80% and 86.57%, respectively. Notably, the system exhibited the highest performance in coliform removal, with an actual treatment efficiency of 99.62%.

This research provided a comprehensive linguistic analysis of translation practices applied to two articles on "Advances in Nuclear Fusion and Its Application," employing Halliday's Systemic Functional Linguistics (SFL) as the primary analytical framework. The study meticulously examined the contextual, grammatical, and cohesion aspects of the English source text from The Guardian and its Vietnamese counterpart from VietnamNet. Through comparative analysis, the study identified key linguistic phenomena, translation challenges, and strategic decisions made during the translation process. This research contributes to the field by offering insights into the complexities of translating scientific and technical content between English and Vietnamese, highlighting the role of the SFL in achieving accurate and contextually appropriate translations.

This paper studies the performance of a IoT-relaying node transmission with massive multiple-input multiple-output (MIMO) system network. The system is a simple schematic setup which includes one user, one IoT-relaying node and one base station (BS). The user and IoT-relaying node have a single antenna while the BS is equipped with a hundred and/or even a thousand of antennas array. The transmission protocol is performed based on a very simple amplify-and-forward (AF) relaying scheme. To decode the transmitted signal from the user, the BS applies maximum-ratio (MR) combining technique (the combined channel of the links from the user to BS and the IoT-relaying node to the BS) under assumption of perfect channel station (CSI). The exact closed-form of the throughput and the results for the signal-to-interference-plus-noise ratio (when the number of relay antennas goes to large) are analyzed.

The main purpose of this study is to examine the impact of credit risk management on profitability of commercial banks in Vietnam. While the existing literature emphasizes the necessity for a more in-depth study and additional empirical evidence to elucidate intricate relationships between market dynamics and credit risk, particularly in the context of commercial banks in Southeast Asia, there remains a gap in comprehensive studies, with a specific focus on Vietnam. The secondary data was collected from 20 commercial banks from the country for the period of 11 years, from 2012 to 2022. The study used non-performing loans ratio (NPLR), capital adequacy ratio (CAR) as well as loan-loss provision ratio (LLPR) as proxies of credit risk while the financial performance is measured by return on equity (ROE). Moreover, the bank's characteristics, such as its size (SIZE), the macroeconomic inflation rate (INF), and a dummy variable that looks at how ownership type (OWN) affects the bank's profitability are all applied to quantify the independent variables. The model does not exhibit the multicollinearity issue, according to the mean Variance Inflation Factor (VIF) data. The regression results reveal that SIZE, CAR and INF variables have a significant positive effect on ROE, while the NPLR variable has an opposite significant effect on ROE. Nevertheless, there is no connection between the ROE-measured financial performance of commercial banks and the OWN or LLPR variables. This offers further valuable insights to bankers and policy makers in credit risk management of commercial banks in Vietnam to enhance the stability of the Vietnamese banking system.

ABSTRACT Cooking oil is an indispensable ingredient in everyday family cooking. The oil after use is often discharged directly into wastewater systems, leading to risks of environmental pollution, water pollution, clogging of drainage systems... In recent years, water hyacinth plants have been considered weeds, floating on rivers, canals, ponds and lakes, obstructing the circulation of boats and preventing water flow. Water hyacinth plants are often found in large rivers and almost no one cares about their uses, making them truly wasteful. Realizing the flexibility of water hyacinth when dried, it can be woven into pieces with good absorbent properties, our team has researched using water hyacinth as a material to absorb used cooking oil that is discarded into the environment. school. The research uses the main methods of experimental method and sample analysis method in its research. The result is that a product that absorbs discarded cooking oil scum is formed and is tested for cooking oil contaminated water with results consistent with QCVN 14:2008/BTNMT. The purpose of the research is to find effective products to absorb discarded cooking oil to save costs and contribute to environmental protection. The problem of using naturally available materials to create products that absorb cooking oil scum at the same time solves two current environmental problems. The research is a preliminary result, so there are still many shortcomings. We hope that in the future there will be further research to make the product more and more perfect

As the number of healthcare facilities increases, stringent management of wastewater treatment systems becomes imperative. This study investigates a wastewater treatment system designed for a general clinic in Bình Dương Province, Vietnam, which complies with Vietnamese environmental standards. The clinic, located in Bến Cát City, serves approximately 200 patients per day and generates an average wastewater volume of 1.7m³/day. The treatment system, with a capacity of 10m³/day, employs a combination of biological and chemical methods, including anoxic and aerobic processes, to efficiently reduce pollutants. Results indicate that the treated wastewater meets the QCVN 28:2010/BTNMT, column A standards, ensuring minimal environmental impact when discharged into the Thi Tinh River. The study demonstrates the system's effectiveness in managing hospital wastewater, contributing to environmental protection and public health.

This paper presents a comprehensive analysis of the wastewater management system implemented at a medical center located within the Bau Bang Industrial Park in Binh Duong province, Vietnam. With a staff of 166 and 60 beds, the facility operates in accordance with TCVN 4470:2012 General Hospital design standards, serving a diverse range of water demands including domestic, medical, and auxiliary requirements. The wastewater management system is meticulously designed to handle both rainwater and wastewater separately. Rainwater is efficiently collected through surface and roof drainage networks, while domestic and medical wastewater undergo discrete collection processes. The medical center's wastewater treatment facility, operating at a capacity of 100 m³/day, employs a multistage treatment process to ensure compliance with stringent regulatory standards (QCVN 28:2010/BTNMT, column B, K = 1). This process includes preliminary treatment, anaerobic and aerobic biological treatment, membrane filtration, and disinfection. The facility consistently meets quality parameters outlined in QCVN 28:2010/BTNMT, exhibiting effective removal rates for organic pollutants, suspended solids, ammonia, phosphates, and pathogens. Furthermore, the medical center demonstrates commendable environmental stewardship through its stormwater drainage infrastructure, which integrates seamlessly with the local drainage network, safeguarding against environmental contamination. Overall, the wastewater management practices at the medical center exemplify best practices in environmental management within the healthcare sector. This study provides valuable insights into the design, implementation, and performance evaluation of wastewater treatment systems in industrial settings, contributing to the global discourse on sustainable wastewater management practices.

Binh Duong Province is one of the leading regions in Vietnam in attracting foreign investment, with thousands of expatriates living and working in the province. The demand for an international education environment (in-country study abroad) among parents and students in the province is increasing. Additionally, the current globalization trend and international integration demand a high-quality workforce with adaptability and international integration skills, requiring educational institutions to innovate to keep up with the rapidly changing society. Given the situation and trends, establishing an international high school under Thu Dau Mot University (TDMU) is necessary to meet the demand for high-quality human resources in Binh Duong Province, serving the economic, social development, and international integration of the province, the Southeast region, and the whole country. Furthermore, the establishment of an international high school by TDMU also contributes to enhancing TDMU’s position, image, and reputation within the national and international education systems. This article analyzes the strengths, weaknesses, challenges, and opportunities of TDMU in establishing an international high school, thereby providing implementation directions in the context of the economic and social situation in Binh Duong Province.

This article investigates the physical layer security (PLS) performance in an Energy Harvesting Underlay Cognitive Radio Network (EHUCRN). Firstly, the article examines the impact of parameters such as primary transmitter power, interference power threshold, and expected security level on EHUCRN's Secrecy Outage Probability (SOP). Then, based on the findings, the article evaluates the PLS performance of the system. The results indicate that increasing the primary transmitter power reduces the PLS performance while raising the interference power threshold improves PLS performance. Furthermore, increasing the expected security level decreases the PLS performance. Additionally, the percentage of time spent collecting energy increases within a small range, resulting in an increasing PLS performance up to a peak value. However, if this percentage continues to increase within a large range, the PLS gradually decreases. Moreover, the results demonstrate that the PLS performance in EHUCRN is low due to relatively high SOP values.

Kính gửi: Ban biên tập Tạp chí Đại học Thủ Dầu Một Em kính gửi Ban biên tập Tạp chí Đại học Thủ Dầu Một bài báo: PREVENTIVE CONTROL OF POWER SYSTEMS BASED ON DYNAMIC SECURITY PREDICTION Kính nhờ quý Thầy, Cô xem xét và được đăng ở Tạp chí của Trường. Xin chân thành cảm ơn! Phần 1: Thông tin tác giả - Ngày gửi bài : 29/02/2024 - Họ và tên: Hà Văn Du - Học vị: Thạc sỹ chuyên ngành Kỹ thuật điện - Đơn vị công tác: Chương trình Kỹ thuật điện, Viện KT-CN, TDMU - Điện thoại: 0974639947 - Email: duhv@tdmu.edu.vn Phần 2: Nội dung bài báo (Đính kèm file)