In electronic circuits that use various integrated circuits (ICs), ICs may malfunction while assembled, used, and repaired. There are numerous ways to verify that ICs are operating, such as by measuring basic current and voltage with a VOM meter. However, many sophisticated operations are hard to measure and test, and the accuracy of the tests is low and takes a long time. Thus, it is crucial to have a tool that can rapidly determine whether or not integrated circuits are operating correctly. The purpose of this article is to develop a tool for testing the functionality of logic gate ICs. By modeling its properties using the truth table of the specific IC, the device employs an Arduino to verify the condition of the gates in a logic gate IC. After successful simulation and testing, they are assembled to form a final device.

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.

Digital transformation in education is an inevitable trend and has been increasingly promoted in Vietnam over the past few years. The application of digital games in mathematics instruction not only alleviates students’ stress and pressure but also fosters engagement and motivation in the learning process. This paper clarifies key concepts related to digital games as well as presents a set of principles and a design process for digital games using the web-based application Pink Cat Games. Based on a proposed four-step process, the paper illustrates the design of a digital game integrated with the mathematics curriculum for second grade. The findings of this research are to provide practical guidance for teachers in designing digital educational games, thereby augmenting the effectiveness of their pedagogical practices.

In this study, the Wave Optics chapter, which is part of the General Physics A2 course for first-year Electrical Engineering students at Thu Dau Mot university, will be taught using the KWL (Know-Want to know-Learned) strategy. Creating a three-step KWL instructional process for four major Wave Optics chapter topics, creating learning scenarios that use the KWL strategy, and evaluating the technique's effects on students' critical thinking, active learning, and knowledge retention are all parts of the research objectives. Both qualitative and quantitative data analysis techniques are used in this study. Two classes were chosen at random: the experimental group (49 students) was taught using the KWL strategy, while the control group (49 students) followed a traditional instructional method. Data were collected through test scores, post-lesson surveys, and classroom observations. The findings show that the experimental group achieved an average score of 7.31, higher than the control group’s 6.13. Post-lesson surveys indicated that all 15 evaluation criteria reached a "Good" level, with mean scores ranging from 4.24 to 4.54. Students responded positively, expressing enjoyment in being able to ask questions, synthesize information, and engage more deeply in learning. The study confirms that the KWL technique is an effective teaching method that enhances instructional quality and promotes students’ active learning skills. This strategy holds potential for broader application across other STEM subjects to maximize learner-centered knowledge acquisition.

Fractional differential equations are an important branch of mathematics and have been considered under many different fractional derivatives. Among them, differential equations with Riesz-Caputo fractional derivatives have also attracted the attention of many researchers. Studying differential equations that may have singularity coefficients is more difficult than usual because they require several complex techniques. In the present paper, we consider a nonlinear pantograph differential equation where the source function may have a temporal singularity. Using the contraction principle, we prove that the problem has a unique solution under some appropriate conditions. Furthermore, we define a new type of Ulam-Hyers stability and show the main equation of the problem is stable in the mentioned sense. To obtain the main results, a new inequality is proposed and proved. Some examples are constructed to confirm the validity and feasibility of the theoretical results.

The structural and electronic properties of sulfur-doped armchair stanene nanoribbons (ASnNRs) have been investigated using Density Functional Theory (DFT). The diverse structural and electronic characteristics induced by the substitution of sulfur atoms were comprehensively analyzed through first-principles calculations, including formation energy, optimized structural parameters, projected density of states (PDOS), and spatial charge density distribution. Various doping configurations were considered by replacing Sn atoms with S at different concentrations and atomic positions, resulting in characteristic doping types such as single-atom doping (top-1S, valley-1S), two-atom doping (ortho, meta, para), and full 1:1 substitution with a 6Sn–6S structure. The results reveal significant changes in the bandgap, increasing slightly from 0.26eV in the pristine state to approximately 0.34eV in the meta configuration, moderately decreasing to 0.15eV in the 100% substitution case, and sharply decreasing in the other configurations. Moreover, most sulfur-doped configurations exhibit non-magnetic behavior similar to pristine ASnNRs, while strong magnetism emerges only in the fully substituted 100% case. These findings demonstrate that sulfur doping can fundamentally modify the electronic and magnetic properties of the material, highlighting its potential application in future spintronic devices.

This article analyzes South Korea’s new National Security Strategy (NSS) released in June 2023 under President Yoon Suk-yeol. The study situates the NSS in the context of rapidly changing regional and global geopolitics, examining the factors driving the emergence of this new strategy. The article primarily uses secondary document analysis methods to identify the content of the NSS; the research clarifies significant changes in South Korea’s approach to national, regional, and global security issues. The research results not only provide insights into South Korea’s national security strategy but also contribute to a better understanding of the geopolitical dynamics reshaping the regional order.

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.

Binh Duong Province is one of the regions with very significant population and labor force growth. The development and transformation of the labor structure have positively contributed to the province's labor productivity growth and economic growth, while at the same time contributing to the development of Vietnam in general. This paper combines descriptive statistics, comparisons, contrasts, and trend assessments to identify the characteristics, changes, and transitions in the labor structure of Binh Duong Province from 2015 to 2023. The results show a sustained increase in population and labor force; the labor structure has moved significantly away from the agricultural sector; demand for technical and assembly workers increased sharply; the number of service and sales workers steadily increased and became mainstream. The challenge for Binh Duong Province is that while the group of highly skilled workers is growing, the increase is not evenly distributed; the group of highly skilled professionals is growing rapidly while the group of intermediate-level professionals and secretaries is declining due to replacement by technology.

Due to the limitations of traditional adsorbents for dyeing wastewater, this study combined natural adsorbent (CS, chitosan) and hydroxyapatite (HAp) to form a composite for enhancing the adsorption of aqueous Congo red (CR). The chitosan was prepared from crab shells (Somanniathelphusa sinensis) with a deacetylation degree of about 89%. The HAp and HAp-CS composites were prepared by precipitation in high pH (~10) with the help of concentrated ammonia water (25%). The crab shell chitosan and chitin were characterized by the FTIR method, and the HAp and HAp-CS composites were analyzed using the SEM method. The CR adsorption experiments were carried out in batch form and sampled once for each condition. The results showed that the characteristic peaks in the FTIR spectrum confirmed the success of the crab shell chitosan preparation. The HAp and HAp-CS composites possess porous structures and seem to have a high surface area. The CR adsorptions reached optimal after 5-15 min. contacting, the adsorption efficiency tended to decrease with the initial concentration of CR and increase with the adsorbent dosage. The initial pH of the solution affected the adsorption efficiency for the 70%HAp-CS and 30%HAp-CS composites but had almost no effect on the adsorption capacity of 0%HAp-CS and 50%HAp-CS. The 50%HAp-CS composite had the best adsorption capacity among the synthesized composites (qmax = 769.2mg/g). The adsorption isotherm and kinetics best fit the Langmuir isotherm and pseudo-second-order kinetics model.

This study developed a dataset on land cover to analyze the continuous urban land extension in Buôn Ma Thuột City, located in the Central Highlands of Vietnam, from 2000 to 2023. The analysis employed object-based image analysis (OBIA) for backward classification and calculated expansion indices. The results reveal that the total urban land area increased by 22.75% over two decades, despite an average annual population growth rate of only 1.91%. The spatial growth exhibited relatively uniform growth in all directions, but it was most concentrated in the urban core and the northern and eastern parts of Hoa Thuan, Tan Loi, Tan An, Tan Hoa, and Tan Lap wards. This expansion included edge development (6.69%), leapfrog expansion (18.39%), and infill increase (5.44%). Driving factors, analyzed through Pearson correlation coefficients, indicate that urban land growth between 2000 and 2023 was positively influenced by GDP, urban population, and total population but was inversely correlated with the poverty rate. This study provides quantitative methodologies for better understanding urban land dynamics and offers practical strategies for sustainable urban development.

The paper presents the results of a study on the essential physical properties of armchair SiSn nanoribbon (SiSnNR) material, based on density functional theory (DFT) using the quantum simulation program VASP. Structural parameters are highlighted along with electronic and optical properties. The findings reveal that SiSnNR exhibits significant differences in bond lengths, bond angles, and buckling compared to SiNR and SnNR. SiSnNR demonstrates semiconducting properties, with a direct band gap width of approximately 0.3123Å calculated using GGA-PBE, increasing to 0.5892Å when using the hybrid HSE06 functional. The results indicate that Sn atoms primarily contribute to energy bands below the Fermi level, while Si atoms contribute more to higher energy levels. The study also highlights the overlap of py and pz orbitals, leading to sp2 and sp3 hybridization. In terms of optical properties, the energy range from 3 to 5eV is where SiSnNR exhibits the strongest light absorption. The largest number of electron-hole pairs is generated within the energy range of 8-10eV, resulting in intense optical absorption and transitions in this region.

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 paper is devoted to guiding parents in organizing classrooms and bedrooms for their children, ensuring that they have the most reasonable position to rest and study. That is how to design, arrange, and select items in a room to serve two children of the same sex, aged from 6 to 18. Arrange the bed to suit the cramped housing situation. Install study tables and chairs so that children can sit and study comfortably. Choose to buy a bookshelf and hang it on the wall so that it is steady and within reach of your children's operation and use. Essential daily items are arranged neatly so that children can conveniently take them out, use them, and store them in the right place. Thanks to having an ideal room to rest, study, and conveniently use equipment, children will develop well in literature, physical skills, and aesthetics and will always love their family. Later, when the children grow up, no matter where they go, the image of the beautiful little room of their childhood will always be kept in their memories. The interior design of the classroom and bedroom for two small children in a family is fully and clearly shown in 3D images by us. We have presented how to arrange and install items in the room so that everyone can apply this design to their family situation.

Athletes often need to have good English skills to communicate with foreigners for different purposes. As known, many athletes are not able to speak English fluently. To enhance the national athletes’ English proficiency, the governmental institutions arrange various English courses for them. This study reflects the long-term (over seven years) teaching process of English to the athletes in terms of the English course content, namely General English and Sports English, topics, local teacher vs foreign teacher, teaching methods, evaluation criteria, implementation of visual means and AI. The study results are based on the teachers’ observational method and students’ feedback. Most students liked the English course because they could speak English through discussions and conversations and learn new vocabulary, including General English and Sports English (ESP). The students liked the lessons’ topics (e.g. hotel/restaurant reservation, shopping, ordering food, and sports injuries) which were usually taught using PPTs, handouts, Youtube, and Kahoot. AI as ChatGPT, Perplexity, Grammarly, Alexa, etc. was recently implemented in the teaching of athletes as well, facilitating the teaching and learning process and making it more effective and fun. Most athlete students were satisfied to have both a local and foreign teacher for the former could provide explanations in Chinese and the latter could help them to overcome the language barrier and gain confidence in speaking English. Most of the athlete students were motivated to improve their English to communicate internationally.

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.

Objectives: This study investigated the relationship between work environment and job satisfaction among nurses in selected hospitals in Vietnam to propose a framework for improving nursing practice. Methods: A descriptive correlational research design was used and 375 nurses were randomly selected. Data were collected using validated instruments: the Nursing Work Index Practice Environment Scale and the Job Satisfaction Survey. Data analysis was performed using the Statistical Package for Social Sciences (SPSS) software. Descriptive statistics were used to measure the variables. Differences in work environment and job satisfaction were examined according to demographic data using independent sample t-tests and one-way ANOVA. Results: The results showed that the work environment was scored as 2.64 (SD = .42) and the job satisfaction was scored as 3.52 (SD = .47). The work environment was highly correlated with job satisfaction (r = .52, p < .01). Furthermore, long working hours in a week can lead to decreased job satisfaction among employees. Conclusion: These results indicate that the work environment is one of the key factors affecting job satisfaction. This study underscores the need for creating a supportive work environment in hospitals to enhance quality nursing care.

The papain-like protease (PLPro) is a highly conserved, non-structural protein that plays a crucial role in the formation of the replication-transcription complex and the processing of polyproteins in SARS-CoV-2, as well as improving the host’s antiviral immune responses against said virus. Chalcone is a common ingredient, which can be found in a multitude of natural substances, such as food and herbs. It has been proven to have various biological activities, including antiviral effects. Previous studies have identified several natural chalcone-based compounds with the ability to inhibit SARS-CoV-2 by targeting the PLPro enzyme. Based on these findings, this study investigated potential chalcone-derived PLPro inhibitors, as retrieved from Pubchem and in-house libraries. Virtual screening protocols, specifically molecular docking and molecular dynamics simulating filter, were applied to reach the desired goal. As a result, 1448 out of 1454 chalcone derivatives can effectively bind to SARS-CoV-2 via PLPro. The 5 substances with the most suitable docking score and binding mode were selected for the next step. Through MD, CID1021201513 and CID101585417 showed the greatest potential in targeting PLPro. However, further in vitro and in vivo studies must be conducted before the bio-activities of these chalcones against SARS-CoV-2 can be confirmed. Furthermore, the ligand-protein interaction mode analysed in this research can help design effective chalcone derivatives.

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.

Vietnam and India are two countries that had a very early diplomatic relationship nurtured by the people of two countries over time. Among the factors that create strong bond between Vietnam and India, it is impossible not to mention the presence of Indian community. The Indian community in Ho Chi Minh City is creating the cultural diversity of this land. They have also contributed to cultural exchanges with Vietnamese, attracting investment from India, tightening relations between two countries in the new stage of development. The article uses the theory of cultural exchange and acculturation to study the socio-cultural and economic life of Indians in Ho Chi Minh City in the context of urban culture in the era of globalization. The article is designed with two main contents: First, the historical movements of Indian community in Ho Chi Minh City, Second, the acculturation and cultural exchanges between Vietnamese and Indian community in Ho Chi Minh City. The research results aim to analyze and explain the phenomenon of cultural exchange and acculturation in the fields of economics, religion, and clothing. Thereby, the article contributes to providing documents for cultural preservation, attracting investment, and developing spiritual tourism in Ho Chi Minh City.

In this paper, the structural properties of crystalline and polycrystalline Cr have been investigated using molecular dynamics simulations. The interaction between atoms is modeled via the MEAM potential. Periodic boundary conditions are applied in the x, y, and z directions. The structural characteristics are analyzed through the total energy function, heat capacity, radial distribution function, and angle distribution. Dynamics are evaluated through the analysis of mean squared displacement and diffusion coefficient. The results show that the melting temperature of crystalline Cr is higher than that of polycrystalline Cr, indicating that the polycrystal melts earlier. This information is important when considering material applications in high-temperature environments.

Over several decades, a combination of historical, economic, and political factors have influenced the multifaceted phenomenon of Vietnamese return migration from Cambodia. This article examines the return migration of Vietnamese from a historical perspective with document and contextual analysis, revealing a broader picture of the socio-economic and political dynamics in Cambodia and the historical relationship between Cambodia and Vietnam. Before the 1990s, return migration was significantly influenced by colonial-era migration policies and pervasive anti-Vietnamese sentiments. These factors led to violent repression and forced evictions under regimes such as Lon Nol and the Khmer Rouge, profoundly impacting the Vietnamese community in Cambodia. In contrast, administrative governance and economic factors have become the key determinants of Vietnamese return migration in the contemporary period. Understanding the underlying causes and mechanisms that create the situation for Vietnamese in Cambodia and their return is crucial, serving as a basis for addressing their current challenges and promoting their social integration in both countries.

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.