The administrative merger in Southeast Vietnam has fundamentally reshaped regional governance, spatial configurations, and development priorities, creating urgent requirements for a more integrated approach to science and technology (S&T) human resource development. To assess the implications of this restructuring, the study employs a mixed-methods design that combines institutional diagnostics, comparative policy analysis, and quantitative evaluation of workforce indicators. Empirical data are sourced from national statistical agencies, ministerial datasets, provincial development reports, and international benchmarking studies. The analysis focuses on the S&T workforce within the newly configured administrative units of expanded Ho Chi Minh City, Dong Nai, and Tay Ninh, examining competency structures, spatial distribution, coordination mechanisms, and post-merger system dynamics. The findings reveal significant disparities in qualification profiles, weak cross-provincial linkages in training and research, and limited alignment between workforce planning and emergent regional development trajectories. Despite these constraints, the merger presents opportunities to consolidate training capacity, strengthen innovation networks, and enhance talent mobility. The study argues for a coordinated regional S&T human resource strategy supported by institutional harmonization, a functionally differentiated training system, AI-enabled workforce planning tools, and expanded regional–national–international cooperation to advance a knowledge-based, climate-adaptive development pathway for Southeast Vietnam.

Pronunciation is an essential factor in English learning. It affects intelligibility, communicative competence, and confidence, which are the primary factors in English language learning and pronunciation. However, the teaching of pronunciation has consistently been given less priority, especially in EFL contexts where it gets overshadowed by grammar and vocabulary. The current study explores the relationship between the attitudes of English majors towards pronunciation learning at a Vietnamese university, including both internal (learner-related) factors and external (contextual and instructional) factors. Using a quantitative method, information was gathered from 371 university students via a specifically designed questionnaire. Based on the results, most participants positively viewed pronunciation learning. Internal factors, like motivation, self-efficacy, and attitudes of learners, exhibited stronger predictive power compared to external factors, such as quality of instruction and support from the institution. In addition, gender and English proficiency were observed to affect the attitudes, with female students and students of higher proficiency having more positive views. Importantly, both internal and external factors were identified as strong predictors of the pronunciation learning attitudes, thus highlighting the combined effect of psychological and methodological influences. This study enhances the comprehension of the continuous interaction between the psychological and instructional factors, calling attention to the necessity of rethinking the curriculum design, teaching practices, and learner support in the context of EFL pronunciation instruction

This study examines the use of ChatGPT in students’ report-writing process in the course “Mini-project: British and American work styles”. The participants were 105 senior English majors at Thu Daub Mot University in Vietnam in the second semester of the 2024-2025 school year. This study investigates how students used ChatGPT while writing their reports and their perceptions of its use. A questionnaire containing both closed and open-ended items was administered at the end of the course to collect students’ responses. The results showed that the majority of students used ChatGPT during their writing process. They believed ChatGPT should be integrated into academic writing courses and intended to continue using it in future academic tasks. However, they indicated that more specific university guidelines on the use of AI tools should be provided.

This study aims to provide an overview of the global research landscape related to forensic linguistics. Forensic linguistics is defined as the application of linguistic knowledge within legal contexts, offer unique and powerful tools to assist in resolving issues related to court proceedings. To achieve the research objectives, a thematic literature review method combined with statistical techniques was employed to analyze 34 relevant publications sourced from the Scopus database. The study highlights key aspects such as reputable authors, outstanding works, annual publication trends, and the core content of the published books. The findings provide a global overview of forensic linguistics and reveal four trends: discourse analysis in forensic contexts; corpus-based approaches to legal investigations; language-as-evidence with practical implications for courts; and additional aspects of legal language. Consequently, near-term directions to improve Vietnam’s forensic linguistics scholarship are proposed. The findings not only offer a comprehensive view of the current state of forensic linguistics research worldwide but also facilitate access for scholars in Vietnam to engage with and develop relevant studies in this field. This opens new avenues for research and contributes to enhancing the quality of forensic linguistics scholarship in Vietnam in the future.

This study forecasts electricity demand for Vietnam’s data center sector through 2030 in the context of rapid digitalization and the accelerating adoption of Artificial Intelligence (AI), both of which are expected to exert significant pressure on national power infrastructure. Using a baseline IT load of 524.7 MW in 2025 derived from industry market reports, the analysis employs a scenario-based approach with two growth trajectories: a high-growth case using a 16% CAGR and a market-aligned case using a 12.61% CAGR. Applying a Power Usage Effectiveness (PUE) value of 1.4, consistent with Vietnam’s green data center standards, projected electricity demand increases from 734.6 MW in 2025 to 1,542.8 MW under the high-growth scenario and 1,330.6 MW under the moderate-growth scenario by 2030, corresponding to increases of 110% and 81%, respectively. These findings indicate that the expansion of digital infrastructure will require proactive power system planning. The study highlights the importance of integrating renewable energy through Direct Power Purchase Agreements (DPPAs) and implementing stringent energy-efficiency standards to ensure the sustainable development of Vietnam’s data center ecosystem.

This study applies a first-order Markov chain to analyze and model the academic progression of 317 students from the Faculty of Education at Thu Dau Mot University, utilizing their semester Grade Point Averages (GPA) as the core data. Students' GPAs were methodologically classified into four distinct academic performance states: Weak (0–4.99), Average (5.0–6.99), Good (7.0–7.99), and Excellent (8.0–10.0). Transition matrices were constructed to capture the movements between these performance states across consecutive semesters. Descriptive analysis reveals a positive performance trend, specifically a frequent transition from the Average to the Good group, and a high level of stability observed within the Excellent group, particularly in the later stages of the program. A crucial Chi-square test for homogeneity revealed statistically significant differences, indicating that the learning process is non-homogeneous over time, reflecting fluctuations in student learning behavior. However, to fulfill the objective of forecasting the expected distribution of student performance in the subsequent semester, a weighted average transition matrix was computed, giving greater emphasis to the influence of more recent academic data. Forecasting results suggest that approximately 90% of students are expected to concentrate within the Good and Excellent categories, confirming a high standard of academic performance and providing valuable empirical evidence for targeted student support and curriculum management within the Faculty of Education.

Based on existing knowledge about Kronecker product of two matrices and matrix operations such as multiplying two matrices, computing the determinant of a square matrix and finding the inverse of a square matrix, the article clarifies the concept of Kronecker product of two matrices and some of its properties are related to matrix operations known above. The article will also present the application of Kronecker product in large-order matrix operations such as multiplying two matrices, computing the determinant of a square matrix and finding the inverse of a square matrix with specific illustrative examples. Applying Kronecker product in those matrix operations known above will significantly reduce the amount of calculation.

This study explores non-English major students’ perceptions of the ethical use and plagiarism risks associated with Artificial Intelligence (AI) tools in academic writing at Thu Dau Mot University. As AI technologies become increasingly integrated into higher education, concerns about academic integrity, authorship, and originality have intensified. Using a convergent mixed-methods design, data were collected from 108 students through questionnaires and from six participants via semi-structured interviews. Quantitative findings revealed that a majority of students acknowledged the importance of ethical AI use and expressed support for clearer institutional guidelines and teacher training on responsible AI integration. However, uncertainty persisted regarding the ethical boundaries between legitimate assistance and academic misconduct. Qualitative data reinforced these findings, highlighting students’ awareness of AI’s dual role in enhancing writing skills and posing plagiarism risks, particularly through diminished creativity and loss of personal voice. The study underscores the need for localized policies, updated plagiarism regulations, and pedagogical strategies to guide responsible AI use in EFL writing contexts.

This study evaluated the effectiveness of Information Technology (IT) applications in teaching Grade 1 mathematics to develop students' comprehensive competencies. Tools such as Canva, Twinkl, and online educational games were integrated into lessons to create an engaging learning environment and to enhance students' skills. Significant improvements were observed: students’ ability to sequence numbers increased from 33% to 83.3%, number comparison skills improved from 31% to 90.5%, and effective teamwork skills rose from 40% to 95.2%. Additionally, self-directed learning levels increased from 24% to 85.7%, and creativity in problem-solving grew from 33% to 80.9%. These results underscore the positive impact of IT in developing primary students' academic and collaborative skills.

This study focuses on improving the quality of lavabo basin products at Thien Thanh Bathware Company Limited. by applying quality analysis tools such as process flowcharts, check sheets, Pareto charts, and cause-and-effect diagrams. The analysis identified two major defects affecting product quality: impurities and firing cracks. Based on root cause analysis, the study proposes three groups of solutions: (1) cross-training and standardized operation models to enhance workers’ skills; (2) periodic maintenance plans for the vibrating screen to ensure stable equipment performance; and (3) regular mold maintenance to detect early wear or damage. These solutions aim to improve product quality, reduce defect rates, and increase production efficiency.

Submerged cultivation of medicinal mushrooms is receiving increasing attention and is considered an effective alternative to traditional substrate cultivation methods for producing fungal mycelial biomass and bioactive metabolites with diverse applications. This method allows for the control of culture environment conditions, enabling more efficient synthesis of bioactive compounds such as polysaccharides, triterpenoids, cordycepin, polyphenols, etc. Furthermore, the bioactivity of these compounds, including antioxidant, anticancer, antibacterial, and immunomodulatory effects, further emphasizes the potential of producing medicinal mushroom biomass by submerged cultivation in the pharmaceutical and functional food industries. Submerged cultivation is considered a promising alternative to traditional mushroom fruiting body cultivation because it offers better control over culture conditions and product quality, as well as shorter cultivation times. Submerged fungal cultivation has significant industrial potential; however, there are still challenges in optimizing production yield and scaling up the process for industrial application. The successful application of this method on a commercial scale depends on increasing product yield and developing new production systems to address the issues related to submerged mushroom cultivation techniques. Although many researchers are making efforts to produce bioactive metabolites from fungi, the physiological and technical aspects of submerged cultivation still require extensive and long-term research.

The laboratory can be seen as an environment where students can enhance their skills by transferring theoretical knowledge into practice. The purpose of this study is to evaluate the factors affecting the satisfaction of students and lecturers majoring in Chemistry, Biotechnology, and Food Technology from the Faculty of Technology and Sustainable Development at Thu Dau Mot University. A total of 300 students from freshman to seniors and their lecturer were surveyed using a questionnaire comprising 25 observed variables. The obtained information were subsequently analyzed using Exploratory Factor Analysis (EFA) and linear regression modeling. The results indicated that the proposed model consists of four independent factors (laboratory facilities, service competence, responsiveness, and school support) and one dependent factor (satisfaction), which demonstrated reliability with Cronbach’s Alpha coefficients greater than 0.6 and total variable correlation coefficients above 0.3. The EFA results of 19 accepted observed variables showed correlations among them, with a KMO value of 0.931, a Bartlett’s test significance of 0.000, and a total extracted variance of 70.435%. These 19 observed variables were grouped into four independent factors that correlated with the dependent factor (satisfaction with four observed variables), with sig = 0.000. The linear regression analysis confirmed the appropriateness of the model regarding the observed variables, with no signs of autocorrelation or multicollinearity. The factors influencing the satisfaction of student and lecturer with the laboratory were ranked, in order of importance, as follows: school support (β = 0.683), responsiveness (β = 0.130), and facilities (β = 0.129). All standardized residuals of the observed variables lay on a straight line, indicating that they followed a normal distribution.

MnO2 has the advantage of being environmentally friendly and abundant in soil, but its ability to activate persulfate is poor. This study combines MnO2 with CuO into a mixed metal oxide through a one-step reaction to increase the persulfate activation efficiency of the obtained product. These mixed oxides were synthesized by alkalization of a solution containing ions of two metals and then calcined at 300°C. The obtained oxide catalysts were characterized by methods such as FTIR, SEM, BET analysis, and zeta potential. The adsorption and decomposition of methyl orange (MO) were experimentally conducted in batch form using the above mixed metal oxides as adsorbents or persulfate activators. The results showed that the mixed oxides exhibited characteristic peaks in the FTIR spectrum, and were in the form of nanorods (CuO) and amorphous small particles (3:1CuO/MnO2). The CuO catalyst has a specific surface area of 20.23m²/g and pore sizes ranging from 20 to 30Å. The zeta potentials of both CuO and MO were highly negative, e.g., -46.5mV and -24.1mV, respectively. The adsorption capacities of MO onto the mixed oxides were quite low (~13.5%) and decreased gradually as the CuO content decreased. However, the persulfate activation capacity of the mixed oxides for MO decomposition was quite high, e.g., that of 3:1CuO/MnO2 for 40mg/L MO was 74.1%. In addition, the decomposition of MO almost followed pseudo-second-order reaction kinetics.

The manuscript contends that the strengthening of Australia's diplomatic relations with Southeast Asia can be attributed to the escalating threat posed by China's rise, the US's precarious role in the Asia-Pacific landscape, and the increasingly complex economic interconnections between the US, Australia, and Southeast Asia vis-à-vis China. Historically, the strategic alliance with the United States has been the cornerstone of Canberra's foreign policy framework. Nonetheless, Canberra's concerns about Washington's uncertain presence have grown as a result of the ongoing changes in US National Security Policy over the previous decade, from 2016 to 2025. In the long run, it can be argued that the dominant trajectory indicates Canberra's intention to strengthen its comprehensive strategic partnership with Southeast Asia, despite the increased complexity and fragmentation observed within Australia's multicultural society. While some analysts argue that Canberra's strategic alliance with the United States still predisposes it to prioritize the abandonment of Southeast Asia, there is a counterargument that Australia's strategic partnership with Washington is gradually dwindling after over 75 years of establishment and evolution. In light of the aforementioned circumstances, the manuscript advocates for Australia to recalibrate its domestic policies, particularly its ethnic policies concerning the Asian immigrant populace, and to leverage the existing networks of economic and social relationships with Southeast Asian nations, thus cultivating a framework of alliances among middle powers within the region, which would mitigate the risk of becoming ensnared in the strategic rivalry between the US and China in Southeast Asia.

The callus is a disorganized mass of cells that grow in plants in response to various biotic and abiotic stimuli. Callus plays an important role in cell cultures in vitro, as a starting material for many subsequent studies such as single-cell culture, protoplast culture, micropropagation, etc. In this review, callus as well as the factors affecting callus formation and proliferation (plant growth regulator, mineral medium, carbon source, type of explant, light condition, callus line) are explored to provide a brief overview of callus culture

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.

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.

Mango leaves (Mangifera indica) are widely used in traditional medicine and have gained scientific attention for their broad biological activities. Rich in bioactive compounds like mangiferin, flavonoids, phenolic acids, and terpenoids, mango leaves exhibit antioxidant, anti-inflammatory, anti-diabetic, antihypertensive, antimicrobial, gastroprotective hepatoprotective, neuroprotective and other bioactivities. These activities are linked to their ability to neutralize free radicals, modulate signaling pathways, and inhibit pathogenic microorganisms. Mango leaf extracts show promise in managing metabolic disorders, skin conditions, and age-related damage. Despite promising preclinical results, further clinical studies are needed to validate their therapeutic potential and safety in humans.

The study aims to investigate the learning attitude of Chinese-major students who are studying non-major English at Thu Dau Mot University toward non-major English language learning. By surveying 95 randomly selected Chinese language students from Courses D21TQ and D22TQ, it was found that the majority of students had a normal attitude towards learning non-major English, accounting for 76%, while students had a normal interest in learning, accounting for 75.8%, and the biggest difficulty was learning English vocabulary, accounting for 70.8%. The article proposes solutions such as innovating teaching methods, enhancing vocabulary practice, enhancing communication skills and supporting students to learn proactively, and also contributes useful suggestions to improve the quality of teaching and learning non-major English at Thu Dau Mot University.

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.

THE Impact Ranking reflects the impact and contribution of universities around the world, including Vietnam, to the community towards the 17 sustainable development goals of the United Nations. The purpose of this study is to evaluate the ranking results of Vietnamese universities in this ranking and the sustainable development goals that they are pursuing. The results show that from only one Vietnamese university among 467 global universities ranked in 2019, there are now 13 Vietnamese universities out of 1,936 global universities in the rankings. In addition to the mandatory SDG17, most Vietnamese universities mainly focus on the 8 SDGs related to economy, health, education, peace, equality and community (SDG1, SDG3, SDG4, SDG5, SDG8, SDG10, SDG11, SDG16). However, few universities focus on the goals related to poverty and environmental resources (SDG2, SDG6, SDG7, SDG9, SDG12, SDG13, SDG14, SDG15). This situation poses great responsibility and challenge for Vietnamese universities in accompanying the world in realizing the goal of sustainable development. This study is a reference resource for Vietnamese universities to identify sustainable development goals that should be prioritized in their short-term and long-term plans when participating in THE Impact rankings, in order to contribute to building a peaceful, just and prosperous society

The theory of differential equations arises from the study of physical phenomena. This field has various applications in science and engineering. The study of qualitative properties for each mathematical model plays an important role, attracting the attention of both theoretical and applied researchers. Normally, the most significant qualitative property to be studied first is the existence and uniqueness of the solutions of each mathematical model. However, proving existence and uniqueness results for mathematical models where the source function has a singularity is a difficult problem and requires many different techniques. In this paper, we establish some new conditions suitable to achieve the unique solution criterion for ordinary first-order differential equations. To obtain the desired results, we have improved the methods that have been used to prove the results in the work of Krasnosel'skii and Krein (Krasnoselskii and Krein, 1956). In addition, we also provide an example to illustrate the theoretical results.

Full-duplex non-orthogonal multiple access wireless networks with energy harvesting have the potential to improve spectral efficiency and save energy. However, wireless signals are susceptible to eavesdropping by other devices within their coverage area. This paper studies the security performance of a full-duplex non-orthogonal multiple access wireless network with energy harvesting (FDNOMAWNwEH) over Nakagami-m fading channels. Results show that the total throughput increases as the power of the primary transmitter increases. Similarly, the total throughput also increases as the expected security level or the energy harvester efficiency increases. In addition, there exists a value of the NOMA power division factor that maximizes the total throughput. Furthermore, the results show that the total throughput decreases as the fading severity parameter increases.

Building a contingent of ethnic minority cadres has consistently been a guiding principle and strategic policy of the Communist Party of Vietnam throughout different revolutionary periods. Consequently, ethnic affairs in areas with ethnic minority populations have always received special attention from the Party and the State. Effectively carrying out this work ensures equality, solidarity, and shared development among ethnic groups across the nation. This article evaluates the current status of ethnic affairs and the Khmer ethnic cadre force in Tra Vinh province and proposes several solutions to enhance ethnic work and develop a contingent of ethnic cadres capable of meeting the demands of the new era.