Abstract This study examines how ChatGPT influences high school students’ cognitive and behavioral engagement in Physics learning, drawing on survey data from 251 students at Vo Minh Duc High School in Ho Chi Minh City. Although generative AI is increasingly adopted in education, little is known about how Vietnamese students use ChatGPT in a cognitively demanding subject like Physics-representing a notable research gapin a cognitively demanding subject like Physics, which represents a notable research gap. Using a mixed-methods design, the study explores how students employ ChatGPT, how they perceive its usefulness and reliability, and how its use shapes learning behaviors. Findings indicate that students commonly use ChatGPT as a self-study aid and perceive it as helpful for understanding complex concepts, yet many express concerns about accuracy and show signs of overreliance when using the tool without guidance. The study highlights the dual impact of ChatGPT-supporting learning while potentially reducing independent thinking-and contributes evidence potentially reducing independent thinking and contributes evidence to inform AI literacy development, teacher training, and pedagogical frameworks for responsible integration of generative AI in secondary education.

This study examines the relationships between Training Quality (TQ), Institutional Support (IS), Faculty Readiness (FR), and Perceived Effectiveness (PE) in the context of artificial intelligence (AI) integration in higher education institutions (HEIs) in Vietnam. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), data from 418 faculty members from higher education institutions (HEIs) in Vietnam were analyzed to identify key factors influencing the adoption of AI in teaching. The findings reveal that both TQ and IS significantly enhance FR, underscoring the critical importance of comprehensive training programs and institutional resources for preparing faculty to adopt AI. Furthermore, FR has a substantial impact on PE and serves as a mediator between TQ and PE, as well as IS and PE. This highlights the pivotal role of faculty readiness in transforming training and support into perceived improvements in teaching effectiveness. The model demonstrates high predictive relevance for both FR (Q² = 0.55) and PE (Q² = 0.60), suggesting the robustness of the theoretical framework. Despite the study’s limitations, including its focus on Vietnamese HEIs and cross-sectional design, it provides valuable insights for designing effective faculty development and institutional support strategies to facilitate AI integration

Abstract Bats are ecologically valuable and may spur disease transmission; thus, this study aimed to investigate prevalence and identify common ectoparasites in bats in Gulumbe and Masama District in Birnin Kebbi and Danko Wasagu Local Government Areas of Kebbi State. A total of 300 bats were collected. Ectoparasites were investigated with the aid of a dissecting microscope and identified with various identification keys using standard methods. Result shows that Penicillidia conspicua as the only ectoparasite detected in the infected bats from both communities. More broad studies should be done to provide more details about possible parasitism with various ectoparasites. More current methodologies in identifying both ectoparasites such as PCR, Molecular characterization and ELISA are needed.

This study aims to identify the aspects of paragraphs that ChatGPT impacts and to explore students' perceptions of this tool. The study used both quantitative and qualitative methods, with 72 fourth-year students majoring in English Language at Thu Dau Mot University participating. The results indicated that ChatGPT had a strong impact on many aspects of the students' paragraphs, including vocabulary, grammar, coherence, organization of ideas, mechanics, and writing style. Students had a positive perception of ChatGPT, considering it a useful tool that saved time, suggested writing styles, and helped improve the structure of their texts. Additionally, feedback from ChatGPT boosted confidence and helped them gain a better understanding of the topics. However, the tool also had some limitations. Concerns were raised about plagiarism, the accuracy of information, and the reduced interaction between teachers and students. Furthermore, excessive reliance on the tool could impact students' critical thinking and creativity, as well as raise concerns about privacy and information security. This study provides practical values for both teachers and students while contributing to the integration of ChatGPT into the learning process to enhance academic performance.

This study explores the fabrication and performance analysis of ultra-thin III-V solar cells using indium phosphide (InP) epitaxial wafers through two approaches: substrate thinning via lapping and thermocompression bonding. The thinning method reduced the substrate thickness to 160 μm, while the bonding process achieved a final thickness of 0.9 μm. Photoluminescence (PL), internal quantum efficiency (IQE), and external quantum efficiency (EQE) measurements were conducted to evaluate the devices. Results showed that the thinned solar cells exhibited poor photovoltaic characteristics due to suboptimal n-type metal contacts and excessive electron-hole recombination, with no observable light-induced current at zero bias. Backside solar cells fabricated through bonding showed better performance, with improved IQE and EQE due to enhanced light penetration and reduced reflectance from an anti-reflection coating. PL analysis revealed a distinct 1280 nm peak for the backside structure, indicating better light interaction with the active region. Despite these advances, both methods demonstrated low open-circuit current and power efficiency, underscoring the need for further optimization to achieve commercially viable III-V solar cells.

In this paper, we consider a boundary value problem involving the Hadamard fractional derivative. We establish a Lyapunov-type inequality for the problem by constructing the green function and analyzing its properties. Next, we employ a fixed-point theorem to obtain the existence and uniqueness of the solution to the problem. The paper concludes with three examples that illustrate the theoretical results.

High penetration of photovoltaic (PV) sources causes volatility in distribution networks, challenging conventional operational strategies. This study introduces a multi-objective optimization framework using a Stabilized Genetic Algorithm (SGA) that co-optimizes daily energy losses and switching asset depreciation over typical and extreme loading scenarios. Contradicting common assumptions, results show that zero switching operations, i.e., maintaining a robust static configuration - yield optimal economic outcomes for the IEEE 33-bus test system, regardless of switching cost magnitude. The work formalizes an economic viability threshold for DDNR, providing network operators with a quantitative tool to assess when dynamic reconfiguration is truly justified. Results reveal that for the IEEE 33-bus system with PV integration, a robust static configuration remains economically optimal regardless of switching cost magnitude. The primary contribution is the formalization of an "Economic Viability Threshold" framework, providing DNOs a quantitative tool to determine when DDNR is truly justified. This framework provides a crucial, data-driven tool for network operators to prevent unnecessary investment in complex control schemes, ensuring that grid modernization efforts are both technically sound and economically viable

The herbal plant known as black ginger (Kaempferia parviflora Wall. Ex Baker) is a member of the Zingiberaceae family and is extensively distributed in tropical and subtropical regions of Asia. Traditionally, black ginger is used as a health-enhancing herb to relieve joint pain, digestive disorders, and infections. This study aimed to assess how drying method (sunlight, dried in an oven) affected the moisture content, total phenolic content, and antioxidant activity of slices of black ginger root and rhizome. Total phenolic content was measured using the UV-vis spectrophotometry method with a gallic acid standard. The DPPH free radical scavenging experiment was also used to assess the extracts' antioxidant potential. Phytochemical screening results showed that black ginger rhizomes and roots had many secondary metabolites, such as alkaloids, flavonoids, polyphenols, and tannins. The highest total phenolic content was found in sliced black ginger rhizomes dried at 60°C (69.15 mg GAE/g extract). Moreover, black ginger samples all had relatively good antioxidant activities, with IC50 values 42.34 to 67.14 times higher than the IC50 of ascorbic acid. The investigation results on drying temperature's effects on TPCs, and the antioxidant activities of black ginger rhizomes and roots support knowledge and experience in using dried black ginger as raw materials for food and pharmaceutical industries.

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.