Journal of Science and Technology - IUH

A STUDY ON OPTIMAL DESIGN OF MR DAMPERS USING ANSYS WORKBENCH

2026-05-27T07:06:51+00:00

The optimization analysis will be extended to prototype MR dampers and evaluate their performances. This study uses the finite element approach to numerically analyze and optimize dampers that use magnetorheological fluid (MRF, also called MR dampers). In those other words, this study outlines how to analyze and optimize MR dampers utilizing the finite element method and design optimization feature offered by the ANSYS workbench software. After reviewing the previous studies on MR dampers, a damper in the form of a monotube damper will be used for the analysis of magnetic circuits and behaviors in ANSYS Parameter Design Language (APDL). Additionally, based on the Bingham plastic rheological model of MR fluid, mathematical models of the MR damper will be established such as the damping force and dynamic range. The ANSYS Workbench Design Optimization Tool subsequently conducts design optimization by interfacing with APDL which was undertaken to analyze the behavior of the MR damper. The objective function (OBJ) was established for the MR damper to minimize the objective function derived for the MR damper at various configurations. From the optimal performances of different methods, a comparison work on damping force and dynamic range of different optimization methods in ANSYS Workbench Optimization Tool as well as between initial designs and optimal designs in order to find the best optimal method for the MR damper.

IMPROVED ADAPTIVE RBFPI_STSM CONTROL STRUCTURE OF SPIM DRIVES

2026-05-27T07:20:30+00:00

This paper proposes an improved hybrid adaptive control structure that combines a self-tuning PI controller based on a Radial Basis Function neural network (RBFPI) with a super-twisting sliding mode (STSM) controller for field-oriented vector control (FOC) of six-phase induction motor (SPIM) drives. In the proposed structure, the STSM controller is developed for the inner current loop to enhance the current and torque control of the SPIM, thereby effectively compensating for load disturbances, ensuring robustness, stability, fast dynamic response, and eliminating the chattering phenomenon. For the outer speed loop, a PI controller is employed, whose parameters are adaptively tuned and optimized using the RBF neural network to cope with system parameter variations. The combined RBFPI–STSM controller provides accurate speed regulation, fast dynamic response, and significantly improves the performance, stability, and robustness of SPIM drives. The effectiveness of the proposed method is verified through simulations in MATLAB/Simulink.

A NOVEL ROF SYSTEM EMPLOYING DML AND FBG TO GENERTATE 3.5Gb/s OFDM SIGNALS

2026-05-27T07:39:01+00:00

We have investigated a novel system using a Direct modulation laser (DML) to generate Orthogonal Frequency Division Multiplexing (OFDM) signal for Radio Over Fiber (ROF) system. This 40GHz mm-wave signal has been generated by a DML driven by 3.5Gb/s electrical OFDM signal carried by 20GHz RF signal. This novel system employs a direct modulation laser and a Fiber Bragg Grating which is a practical system for future broadband access network

SINGLE PHASE GRID CONNECTED INVERTER CURRENT CONTROL METHOD BASED ON SMC WITH LCL FILTER

2026-05-27T08:16:35+00:00

A novel current control technique for a single-phase Neutral Point Clamped (NPC) multilevel inverter has been proposed, which is used to inject power into the grid and regulate the DC link voltage. The primary challenge lies in controlling the system due to the LCL filter's resonance and the difficulty in generating the filter capacitor's reference voltage. To address these issues, a novel Sliding Mode Control (SMC) algorithm is introduced, which inherently suppresses the LCL resonance without additional damping methods. The system employs a Multiple Loop Control (MLC) structure, featuring an outer current control loop and an inner proportional resonant (PR) voltage control loop. This inner loop effectively minimizes the capacitor voltage steady-state error and mitigates the SMC-induced chattering, thereby enhancing overall system performance and robustness. Furthermore, a hysteresis band switching technique with a dual frequency band is used for pulse generation. Simulation and experimental results, conducted on a three-level NPC T-type inverter, validate the effectiveness and robust performance of the proposed control strategy under varying conditions and external disturbances.

EVALUATING OUTAGE PROBABILITY IN ONE-WAY COOPERATIVE NETWORKS WITH ENERGY HARVESTING USING TIME SWITCHING AND NOMA

2026-05-28T08:42:03+00:00

This paper investigates the outage probability of a one-way cooperative network incorporating energy harvesting using the time- switching (TS) protocol and employing a non-orthogonal multiple access (NOMA) technique. The system model consists of a source node and a relay node, which amplifies and forwards (AF) the signal to two destination nodes. The model adopts a successive interference cancellation (SIC) technique over Rayleigh fading channels. The study provides a detailed analysis of the signal transmission process to both destinations and derives mathematical expressions for calculating the outage probability. The Monte Carlo simulation method is utilized to evaluate the outage probability based on various factors such as signal-to-noise ratio (SNR), time-switching ratio, and other system parameters to assess their impact on system performance. Consequently, the study identifies the best performance outcomes, providing a foundation for the analysis and evaluation of the model's operational efficiency. The model's novelty lies in its ability to leverage the advantages of AF relaying, including architectural simplicity, low processing latency, and low deployment cost. As a result, the model becomes a suitable solution, effectively meeting the requirements of IoT and real-time communication applications.

COFFEE CONSUMPTION OF VIETNAMESE GEN Z: A REVIEW OF PREFERENCES, EXPERIENTIAL ENVIRONMENTS, AND SUSTAINABILITY AWARENESS

2026-05-27T02:58:56+00:00

This review synthesizes global and Vietnamese research on Gen Z’s coffee consumption behaviors, identifying a clear shift from traditional values toward personalized experiences and sustainability-oriented choices. Drawing upon experiential marketing, multisensory marketing, and sustainable consumption theories, the study proposes a conceptual framework linking three key drivers: multisensory marketing, experiential environment, and sustainability awareness to emotional engagement and consumption decisions. Findings reveal that Gen Z values convenience-oriented products (e.g., cold brew, ready-to-drink coffee), aesthetic and interactive café spaces, and transparent supply chains with ethical and eco-friendly practices. Social media influence plays a pivotal role in shaping preferences, driving demand for visually appealing and trend-based beverages. The review highlights the strategic importance for coffee brands to innovate in product design, sensory engagement, and sustainability integration to meet Gen Z’s expectations. Future research should employ empirical testing with segmented Gen Z cohorts to refine and validate the proposed framework.

DEGRADATION OF PHENOL IN WASTEWATER VIA ULTRAVIOLET IRRADIATION ACTIVATED PERSULFATE RADICAL

2026-05-27T03:15:32+00:00

The aim of this study is to investigate the treatment of Phenol in wastewater via persulfate radicals activated by ultraviolet (UV) irradiation, with the objective of evaluating the applicability of the method for wastewater treatment and also defining the key parameters influencing the process. The advantage of the process includes utilizing UV energy to activate persulfate radicals, generating highly oxidative sulfate radicals (SO₄^▪−) with a high oxidation potential of 2.6 eV, capable of non-selectively degrading organic pollutants in water through the breakdown of chemical bonds, transforming them into non-toxic or less harmful products.

To assess the capability of phenol elimination, the degradation efficiency was recorded, and the rate constants under different operating conditions were calculated using the pseudo-first-order kinetic model. The results confirm the feasibility and suitability of this method for decomposing phenol in water with the high degradation efficiency of 99.2% at the concentration of 40 mg/L. The study also revealed factors that affect the phenol degradation performance, including the concentration of Na₂S₂O₈, pH value of the solution, and initial concentration of phenol. Particularly, the degradation efficiency of phenol increased the rise of Na₂S₂O₈ concentration, while, the initial concentration of phenol significantly influenced both efficiency and treatment time. The pH of solution range from acidic to neutral was found to be more favorable for converting persulfate into SO₄^▪−radicals, thereby enhancing the phenol degradation process.

DIVERSITY OF RIPARIAN PLANT SPECIES ALONG RACH TRA UNDER WASTEWATER POLLUTION FROM ANTHROPOGENIC ACTIVITIES IN HO CHI MINH CITY

2026-05-27T03:39:35+00:00

Riparian vegetation plays a crucial role in maintaining ecosystem stability and biodiversity, yet anthropogenic pressures increasingly threaten it. This study assesses the diversity of riparian plant species along Rạch Tra, Ho Chi Minh City, under the influence of wastewater inputs from various human activities. Vegetation surveys using quadrat sampling (1 m × 1 m), transects, and taxonomic identification recorded 162 species belonging to 137 genera and 58 families. Herbaceous plants accounted for the highest proportion (37.7%), followed by trees (19.8%), shrubs (17.9%), climbers (16.7%), helophytes (6.8%), and aquatic plants (0.6%). Twelve species were common to all three surveyed zones, with Colocasia esculenta, Hanguana malayana, and Ottochloa nodosa being the most dominant. Two vulnerable (VU) species requiring conservation were recorded: Elaeocarpus hygrophilus Kurz and Oryza rufipogon Griff., along with four invasive alien species and five potentially invasive alien species. Notably, Mikania cordata exhibited high density, posing a risk of displacing native flora. Community indices indicated a decline in the lower reach due to combined industrial, agricultural, and residential impacts. These findings provide essential baseline data to guide conservation planning, support riparian ecosystem restoration, and inform the selection of plant species for effective pollution control through phytoremediation technologies.

OPTIMIZED GC–MS/MS PROTOCOL FOR DETERMINING 2-MCPDE, 3-MCPDE, AND GLYCIDYL ESTERS IN INSTANT NOODLES

2026-05-27T04:06:02+00:00

2-Monochloropropane-1,3-diol esters (2-MCPDE), 3-monochloropropane-1,2-diol esters (3-MCPDE), and glycidyl esters (GE) are process contaminants formed during high-temperature processing of fat-rich foods. After entering the human body, these compounds can undergo hydrolysis to generate 2-MCPD, 3-MCPD, and glycidol, which have been reported for their potential carcinogenicity and adverse health effects. In this study, a GC–MS/MS analytical method was developed and optimized for the simultaneous quantification of 2-MCPDE, 3-MCPDE, and GE in food, with instant noodles selected as the representative matrix. Sample pretreatment parameters including sample mass, extraction and clean-up procedures, bromination conditions, hydrolysis reaction, and PBA derivatization were systematically investigated to maximize recovery and enhance analytical sensitivity with the method detection limit of 2 µg/kg, recovery from 83.6 to 111% . The optimized method was subsequently applied to the analysis of 18 commercial instant noodle samples. The results showed that all three compounds were detected in 100% of the samples, with concentrations ranging from 129–443 µg/kg for 2-MCPDE, 116–224 µg/kg for 3-MCPDE, and 144–332 µg/kg for GE. Several samples contained levels exceeding the reference limits established by the EU for infant formula and young-child food products, indicating potential food safety concerns. The optimized analytical procedure developed in this study can be applied in food testing laboratories and supports regulatory monitoring of fat-rich processed foods.

SYNTHESIS OF SnO2/TiO2 PHOTOCATALYST FOR REMOVAL OF OXYTETRACYCLINE ANTIBIOTIC IN AQUEOUS SOLUTION

2026-05-27T04:22:01+00:00

In this study, TiO₂/SnO₂ nanomaterials with the different SnO₂ contents of 1%, 5%, 10%, and 15% were synthesized via a facile one-step sol-gel method. Structural characteristics and surface morphology of these materials were assessed through techniques such as X-ray diffraction (XRD) and Scanning Electron Microscopy (SEM). These materials were then subjected to test photocatalyst activity. The photocatalytic performance of the synthesized materials was evaluated to degrade the oxytetracycline (OTC) antibiotic in aqueous solutions under UVC irradiation. The effect of various operating parameters including reaction time, pH value, initial antibiotic concentration, and photocatalyst content on removal efficiency was also investigated. Remarkably, the SnO₂/TiO₂ material with a 1% SnO₂ of weight demonstrated the best photocatalytic performance. The OTC removal efficiency was achieved of 98.4% after 120 min UVC irradiation. Furthermore, the reuse ability of the synthesized material was demonstrated with OTC removal efficiency maintained at 95.87% after 5 cycles.

PSYCHOLOGICAL DETERMINANTS SHAPING BEHAVIORAL INTENTIONS FOR ECOTOURISM IN NATURE CONSERVATION AREAS

2026-05-27T06:20:58+00:00

Ecotourism in nature conservation areas has been growing in Vietnam. However, visitors’ psychological determinants remain insufficiently understood. This study investigates the psychological determinants shaping intentions for ecotourism in nature conservation areas, with a case study of the Can Gio Mangrove Biosphere Reserve. A web-based survey was conducted in March 2025 with 305 respondents living or working in Ho Chi Minh City. Structural equation modeling was applied to examine the hypothesized psychological determinants. The results identify six psychological determinants: “green daily routine,” “awareness of human impact on the environment and nature,” “awareness of conservation,” “attitude toward ecotourism,” “awareness of the benefits of ecotourism,” and “behavioral intentions to engage in ecotourism in nature conservation areas.” Among them, “green daily routine,” “awareness of human impact on environment and nature,” and “awareness of conservation” positively influence both “attitude toward ecotourism” and “awareness of the benefits of ecotourism.” “Attitude toward ecotourism” and “awareness of the benefits of ecotourism” positively contribute to “behavioral intentions to engage in ecotourism.” These findings provide useful insights for further analyses of ecotourism-related policies aimed at enhancing visitor engagement and promoting ecotourism in nature conservation areas.

EFFECT OF ZnS ON QUANTUM DOT CHARACTERISTIC AND QUANTUM DOT LIGHT-EMITTING DIODE PERFORMANCE

2026-05-27T06:51:17+00:00

The structural configuration of quantum dots plays a crucial role in determining their optical properties and performance in specific applications. Encapsulating the quantum dot core with a ZnS shell to form a core/shell architecture enhances the photoluminescence emission spectrum, yielding a narrower full width at half maximum (FWHM) and thereby indicating superior color purity. Moreover, quantum dot light-emitting diodes (QDLEDs) incorporating core/shell quantum dots demonstrate improved performance in terms of luminance, current efficiency, and device lifetime stability. This enhanced efficiency is primarily attributed to the ZnS shell, which effectively reduces surface defects and facilitates carrier injections, highlighting the strong potential of core/shell quantum dots for advanced optoelectronic devices.

MODERATING EFFECT OF REGULATORY QUALITY ON CORPORATE GOVERNANCE AND ESG PERFORMANCE IN EMERGING MARKETS

2026-05-22T09:35:25+00:00

This study aims to examine the relation between ESG scores and corporate governance of listed companies in emerging markets and considers the moderator role of regulatory quality on this relationship. The sample in this study includes listed firms from seven emerging countries, such as Brazil, Russia, China, South Africa, Mexico, Colombia, and Vietnam, between 2010 and 2022. This study applies the fixed effect OLS and further uses System GMM to address endogeneity issues in the empirical model. The results indicate that factors of corporate governance, such as board size, the presence of women on the board, and independent members of the audit committee, positively affect ESG performance. Moreover, the results of this study contribute to the institutional theory by demonstrating the moderating role of regulatory quality of government on the relation between corporate governance and ESG score. The implications of our study show that the improvement of the ESG score is not only reliant on internal corporate governance but also on governmental support through fostering transparent, effective regulatory frameworks to enhance the implementation of ESG strategies of listed companies.

ENHANCING THE RESILIENCE OF PUBLIC SERVANTS IN HO CHI MINH CITY'S PUBLIC SECTOR: A PERSPECTIVE FROM PUBLIC SERVICE MOTIVATION, LEADERSHIP ROLE, AND WORK ENVIRONMENT

2026-05-22T10:00:39+00:00

This study investigates the factors influencing the resilience of public sector employees in Ho Chi Minh City – a major urban center undergoing extensive administrative reforms and restructuring of its civil service system toward greater efficiency. Drawing on the Conservation of Resources (COR) theory, the Job Demands–Resources (JD–R) model, and the concept of Public Service Motivation (PSM), the study develops a structural model that examines the combined effects of three key factors: (1) Public Service Motivation (PSM), (2) Leadership Role (LD), and (3) Work Environment (WE) on civil servant resilience (RES). A distinctive contribution of this research is the inclusion and empirical validation of two cross-effect hypotheses, whereby both Leadership Role and Work Environment influence PSM as a critical mediating variable. Using survey data from 279 public servants selected through stratified sampling across multiple administrative levels, the study employs SPSS and SmartPLS, with hypotheses tested via Partial Least Squares Structural Equation Modeling (PLS-SEM). Theoretically, the findings extend the contemporary PSM literature by demonstrating that PSM is not merely an individual attribute but a psychological mechanism shaped by organizational conditions—particularly leadership and work environment—in a transitioning public administration context. Empirically, all three factors significantly affect resilience, with PSM exerting both direct and mediating effects. These results provide practical implications for strengthening civil servant resilience amid growing reform pressures, contributing to improved governance effectiveness in Ho Chi Minh City.

CARBON EMISSIONS AND THE COST OF CAPITAL: EVIDENCE FROM VIETNAM’S LISTED FIRMS (2022–2024)

2026-05-26T03:26:25+00:00

In alignment with global sustainability trends and Vietnam’s Net-Zero commitment, this study examines the relationship between greenhouse gas (GHG) emissions and the weighted average cost of capital (WACC). Analyzing 45 listed Vietnamese enterprises from 2022 to 2024, GHG emissions serve as a quantitative proxy for environmental performance and transition risks. Utilizing panel data and a random effects model (REM) with clustered standard errors, the research investigates both contemporaneous and one-period lagged effects of emissions on WACC. The empirical findings reveal that the impact of GHG emissions on WACC is not statistically significant, suggesting that the Vietnamese capital market has yet to fully integrate carbon risks into its cost of capital pricing mechanisms. Instead, WACC variations remain predominantly explained by traditional financial control variables, indicating that investors prioritize fundamental financial metrics over environmental considerations. These findings provide critical empirical evidence for policymakers to design financial incentives for environmentally proactive firms and impose stricter constraints on those with adverse ecological impacts.

EXAMINING THE MEDIATORY ROLE OF CAPITAL STRUCTURE IN THE RELATIONSHIP BETWEEN PROFIT AND COMPANY VALUE IN THE VIETNAMESE CAPITAL MARKET, 2018 – 2024

2026-05-26T03:59:59+00:00

This study analyzes the relationship between ROA, PER, DER, and PBV of non-financial listed companies on the HOSE from 2018 to 2024, in the context of a capital market experiencing numerous macroeconomic shocks. Using panel data with a model selection based on Hausman, yearly effects, cluster standard errors, endogeneity testing, reverse causality, and bootstrap, the results show that highly profitable or high-growth valued listed companies tend to reduce their debt use. Company value increases with ROA and reasonable leverage levels, while PER does not maintain a stable explanatory role. Notably, the bootstrap test found no evidence of a mediating impact of capital structure, and the results remained consistent after endogeneity treatment. This suggests that the Vietnamese market, during periods of volatility, primarily values fundamental factors directly rather than through leverage transmission mechanisms.

APPLYING THE ANALYTIC HIERARCHY PROCESS (AHP) MODEL TO EVALUATE AND CLASSIFY THE SUPPLY CHAIN PERFORMANCE OF THE TEXTILE AND GARMENT INDUSTRY IN HO CHI MINH CITY DURING THE COVID-19 PANDEMIC

2026-05-26T06:50:29+00:00

This study aims to provide an academic perspective on the application of the Analytical Hierarchy Process (AHP) model to evaluate and classify the supply chain efficiency of the textile and garment industry in Ho Chi Minh City, within the context of the COVID-19 pandemic. The research method is a combination of qualitative and quantitative methods. The author interviewed and surveyed 15 experts who are textile and garment enterprise managers to identify and evaluate the importance of 19 performance criteria. The study applies situation theory, combined with measurement theory, to better understand the uncertainties of the pandemic and make optimal choices, serving as a basis for data analysis using the AHP method. The research results show that the criterion "Accurate demand forecasting" has the highest weight (0.2426), followed by "Cash cycle time to generate cash", "Problem solving support", and "Resource utilization level". In contrast, criteria such as "Production Capacity Utilization Level", "Route Optimization", and "Customer Query Time" have the lowest weight (0.0071). From there, the study proposes managerial implications to help businesses prioritize resources and improve supply chain efficiency in the post-pandemic context and other future crises.

THE IMPACT OF TECHNOLOGY AND INNOVATION ON MULTINATIONAL CORPORATIONS’ LOCATION CHOICE FOR INVESTMENT

2026-05-26T07:13:55+00:00

This study examines the role of technology and innovation in shaping multinational corporations’ investment location choices, in the context of increasingly efficiency-seeking and value-added–oriented international capital flows. Using an unbalanced panel dataset of 35 Asia–Pacific countries over the period 2013–2023, the study develops two empirical models to separately test the effects of technology and innovation on foreign direct investment (FDI), which serves as a proxy for investment location outcomes. The models are estimated using pooled Ordinary Least Squares (OLS) and Generalized Least Squares (GLS) methods to address heteroskedasticity in panel data. The empirical results indicate that both technology and innovation exert positive and statistically significant effects on multinational corporations’ location choice decisions, even after controlling for conventional macroeconomic and institutional factors. These findings suggest that technology and innovation function not only as foundational conditions but also as critical location-specific advantages in attracting international investment projects in the long run.

SELECTING USED SCHOOL UNIFORM SHIRTS FOR REUSE BY QUANTITATIVE METHOD

2026-05-26T08:43:37+00:00

This study was conducted to evaluate the remaining quality and the reuse potential of used school uniforms. If any sample shirt meets this requirement, the group of shirts represented by this sample will be selected for reuse. The remaining quality of the used shirt is evaluated based on its appearance quality and physical durability. In which, the appearance quality is quantified according to the criteria: pilling and colorfastness of the shirt fabric. The physical durability is quantified according to the criteria: tensile strength, tear strength and seam strength of the shirt fabric. The individual evaluation criteria are determined according to industry standards. The results of the study of 5 used uniform shirts of School A show that the remaining quality of the shirts and the individual quality in each evaluation criterion all meet the requirements of the user of the used shirt. Therefore, all shirts in the group represented by these 5 sample shirts are selected for reuse.

THE IMPACT OF THE DIGITAL ECONOMY ON LABOUR AND EMPLOYMENT IN VIETNAM TODAY

2026-05-26T08:58:47+00:00

In the context of rapid digital transformation, the digital economy is becoming a key driver reshaping the labour market in Vietnam. This paper analyzes the multidimensional impacts of the digital economy on labour and employment, including the emergence of new occupations, shifts in employment structure, increasing requirements for digital skills, and changes in labour relations. The digital economy creates flexible employment opportunities through digital platforms while connecting the Vietnamese workforce with the global labour market. However, digitalization also heightens the risk of job displacement due to automation, widens the digital skills gap among labour groups, and poses challenges to the social protection system. Based on an assessment of current conditions, the paper proposes several solutions to maximize the benefits of the digital economy and mitigate associated risks, including digital skills training, development of technological infrastructure, support for digital transformation in enterprises, improvement of the legal framework, and strengthening public–private partnerships. The findings contribute scientific evidence for labour policy formulation in the digital era.

FROM HUE TO GUANGZHOU: INTELLECTUAL MIGRATION AND THE FORMATION OF THE VIETNAMESE REVOLUTIONARY COMMUNITY (1908-1930)

2026-05-26T09:09:24+00:00

The study examines the migration of Vietnamese intellectuals from Hue to Guangzhou between 1908 and 1930, emphasizing its role in shaping the modern Vietnamese revolutionary community. It seeks to understand how a generation of scholars trained in Hue’s Confucian milieu evolved from reformist nationalism to proletarian revolutionary consciousness through the transnational networks of Vietnamese activists in Paris. Drawing on French and Vietnamese archival sources, contemporary newspapers, and secondary scholarship, the research employs a historical-sociological and logical approach within the frameworks of transnational intellectual history and community politics. The findings reveal a continuous three-phase progression: from the Duy Tan reform movement in Hue in 1908, to the emergence of a patriotic intellectual community in Paris between 1917 and 1925, and finally to the institutionalization of revolutionary ideology in Guangzhou from 1925 to 1930. This intellectual migration represented not merely a physical displacement but a profound transfer of knowledge and identity, transforming Paris into a “school of revolution.” Ultimately, the movement from Hue to Guangzhou signified the conversion of traditional morality and nationalist ideals into organized political action, laying the intellectual foundation for Vietnam’s twentieth-century revolutionary consciousness.

ARTIFICIAL INTELLIGENCE WITHIN THE PRODUCTIVE FORCES: RECOGNITION, ELUCIDATION, AND STRATEGIC PATHWAYS FOR VIETNAMESE BUSINESSES

2026-05-26T09:11:52+00:00

In the context of the rapid development of artificial intelligence (AI) and its increasingly deep penetration into production and business activities, Vietnamese enterprises are confronting structural transformations in the productive forces. This article approaches the issue from the theoretical perspective of the productive forces in Marxist–Leninist philosophy, with the aim of clarifying the philosophical essence, as well as the economic and legal characteristics, of AI within a new mode of production. The research seeks to analyze how AI is adopted and operated by enterprises as an intrinsic element of the productive forces, while simultaneously assessing the opportunities and challenges currently facing Vietnamese enterprises. Methodologically, the study is grounded in dialectical materialism and historical materialism, combining theoretical analysis with the examination of officially published reports, data, and research findings. The results indicate that AI exists in enterprises in multiple roles: as a labor instrument imbued with knowledge content, as an object of labor that can be exploited for profit generation, and as a form of digital labor that restructures labor relations and the distribution of interests. The study contributes to clarifying the theory of productive forces in a new context marked by the strong impetus of artificial intelligence, and offers conceptual foundations for the improvement of enterprise-level policies in Vietnam regarding the application of AI.

ENTREPRENEURIAL ETHICS IN THE SOCIALIST-ORIENTED MARKET ECONOMY IN VIETNAM

2026-05-27T01:54:10+00:00

This article focuses on analyzing the theoretical foundations of entrepreneurial ethics, clarifying the role of ethics as a spiritual driving force that guides business behavior toward humane, progressive, and appropriate values. Through an analysis of the practical situation in Vietnam, the article highlights the positive contributions of the entrepreneurial community to economic growth; however, it also points out the persistence of moral degradation in business practices. Therefore, strengthening education and training in entrepreneurial ethics in the process of improving the socialist-oriented market economy institutions is of both theoretical and practical significance. On that basis, the article proposes several solutions to build a team of entrepreneurs with ethics, responsibility, and integrity, meeting the requirements of sustainable national development in the new period.

RESEARCH ON THE IMPACT OF SOCIAL FACTORS, QUALITY OF EDUCATION, AND PERCEIVED VALUE ON STUDENTS' INTENTION TO PURSUE A MASTER'S DEGREE

2026-05-27T02:36:53+00:00

In recent years, pursuing a master's degree has become a social phenomenon attracting significant attention. To better understand the reasons why students choose to pursue a master's degree, this study was conducted to empirically analyze the factors influencing the intention to pursue postgraduate studies. Based on the Theory of Planned Behavior (TPB) and Perceived Value Theory, the research conducted a survey using questionnaires with students from various universities in Ho Chi Minh City. A total of 350 questionnaires were collected, with 298 valid responses. The PLS-SEM method was applied to test the research hypotheses, all of which were accepted: Social factors positively influence students' intention to pursue a master's degree, as well as perceived value and the quality of education. The results indicate that the intention to pursue a master's degree is positively impacted by social factors, perceived value, and the quality of education. These findings provide valuable insights into students' learning motivations and assist educational institutions in adjusting their programs and marketing strategies to more effectively attract prospective master's students.

RESEARCH ON OPTIMAL PARAMETERS OF FDM 3D PRINTING TECHNOLOGY TO IMPROVE THE TENSILE STRENGTH OF PETG PLASTIC

2026-05-27T07:28:52+00:00

As 3D printing becomes increasingly prevalent in rapid manufacturing, prototyping, and the production of technical components, optimizing the mechanical performance of printed materials is essential for broadening their practical use. This study aims to improve the tensile strength of PETG, a widely used material in Fused Deposition Modelling (FDM) due to its favorable mechanical properties and ease of processing. Key printing parameters influencing tensile strength were examined and optimized using the Taguchi method. Based on the highest signal-to-noise (S/N) ratio, the optimal FDM settings were identified as a 0.1 mm layer height, 60 mm/s printing speed, 40% infill density, and a 1.2 mm nozzle diameter. Using these optimized conditions, the PETG specimens achieved a tensile strength of 11.62 N/mm². The findings provide both scientific and practical insights that can help improve the quality of PETG 3D-printed parts and guide the selection of suitable printing parameters for applications requiring enhanced mechanical performance.

EFFECT OF RBF BASIS FUNCTIONS ON STRUCTURAL RELIABILITY ESTIMATES

2026-05-27T08:05:56+00:00

Traditional approaches such as the Monte Carlo simulation and the finite element method are widely used for structural reliability analysis but usually demand excessive computational resources. To address this limitation, response surface methods employing radial basis functions (RBFs) have been introduced as efficient surrogates for approximating implicit limit state functions. Nevertheless, the accuracy of RBF-based reliability analysis strongly depends on the choice of parameters and basis functions, while systematic guidelines for their selection remain insufficient. This study investigates how different RBF types—Gaussian (GA), Multi-Quadric (MQ), Inverse Multi-Quadric (IMQ), Thin Plate Spline (TPS), Cubic, and Linear—and their parameter settings influence reliability index assessment (RIA). The surrogate models are constructed using Latin Hypercube Sampling (LHS) to approximate limit state functions, and the Hasofer–Lind–Rackwitz–Fiessler (HL-RF) algorithm is employed to compute both the reliability index and failure probability. The findings provide insights into the sensitivity of structural reliability estimates to RBF configuration, offering useful guidance for selecting appropriate surrogate modeling strategies in engineering applications.

A SIGNAL PROCESSING AND OPTIMIZATION-BASED APPROACH FOR BEARING FAULT DIAGNOSIS USING SVMD, SVD, AND WO-SVM

2026-05-27T08:26:02+00:00

Roller bearing acceleration vibration signals are inherently non-stationary and noisy. However, benchmark datasets commonly used in pattern recognition often contain minimal noise, whereas real-world bearing vibration signals typically include both the bearing’s inherent vibration and additional noise from related machine components. To enhance the accuracy of fault diagnosis methods when processing real-world signals, Gaussian noise was intentionally added to the original signals. Subsequently, the Successive Variational Mode Decomposition (SVMD) method was employed to decompose these signals into multiple modes. The Singular Value Decomposition (SVD) technique was then applied to construct a feature matrix from these modes, which served as input to the Support Vector Machine (SVM) classifier. The SVM hyperparameters (C and γ) were optimized using the Walrus Optimizer (WO) algorithm. Experimental analysis on signals under both normal and faulty bearing conditions demonstrates that the proposed fault diagnosis method achieves higher classification accuracy and faster convergence compared to other methods.