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.

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.

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.

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.

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 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.

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.

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.

Traditional education in Southern Vietnam developed through two main periods: the era of the Nguyen Lords (1698-1802) and the reign of the Nguyen emperors (1802-1862). This article focuses on education development in Southern Vietnam during the reign of the Nguyen emperors. Despite the numerous difficulties experienced during the decline of the feudal regime, the Nguyen emperors made significant efforts to promote education in the South. The royal court showed commitment, introduced reforms, and created favorable conditions for educational activities to thrive, resulting in greater academic success compared to the previous period. Alongside civil service examinations, the establishment of public schools and supporting educational institutions was also actively promoted. The institutionalization of state-led educational activities inherited the achievements of the earlier period and marked the consolidation of educational functions during a historical development phase

This article examines the role of social networks and informal institutions in facilitating the resettlement and socio-economic integration of Vietnamese returnees from Cambodia in the Tri An Lake region, Dong Nai Province. In the context of statelessness and the absence of legal identification, these returnees faced significant barriers in accessing official support from local authorities. Under such circumstances, kinship-based networks, fellow migrant connections, and local community ties—together with informal support mechanisms —played a pivotal role in providing essential resources such as shelter, livelihood opportunities, informal credit, and emotional support. Drawing on oral history interviews with Vietnamese returnees who have resettled around Tri An Lake since the late 1980s, the study reveals that these social connections and informal institutions helped individuals navigate initial crises and contributed significantly to their long-term stability and integration.

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.

Fall prevention represents a vital clinical indicator in healthcare settings and serves as a fundamental element of patient safety. This study aimed to evaluate nurses’ knowledge, attitude, and practices on fall prevention in caring for patients as well as explore the relationship between knowledge, attitude, and practices on fall prevention in patient care. This study was conducted on 312 nurses working in four selected level II government hospitals in Ho Chi Minh City from August to October 2024. The majority of nurses were female, with diplomas or BSNs, averaging 39.2 years old and 15.8 years of clinical experience. 77.9% attended a fall prevention training course. Most nurses showed moderate knowledge (66.7%) and practices (mean score of 3.26/5) regarding fall prevention, while their attitudes were generally positive (mean score of 3.92/5). Strong correlations were found between knowledge, attitude, and practices, as well as with prior training and education level (p < 0.001). Factors such as age, work experience, education, and training were predictive of fall prevention practices. Furthermore, attitude partially mediated the relationship between knowledge and practice. In summary, the study highlights the importance of fall prevention training, improving knowledge and attitudes, and considering factors like work experience and education in nursing practices. The mediating role of attitude suggests that fostering a positive attitude is key to better fall prevention practices, emphasizing the need for targeted educational programs that enhance both knowledge and attitudes to improve clinical outcomes.

Effective English communication remains a significant challenge for non-English major students at many Vietnamese universities, often hindering their academic and professional development. This study explores the key difficulties faced by non-English majors at Thu Dau Mot University in English communication and their engagement in classroom speaking activities. Using a mixed-methods approach, the study collected data from 100 students through questionnaires and interviews. The findings reveal four primary challenges: limited vocabulary, pronunciation difficulties, overreliance on the native language, and lack of confidence. These issues not only affect students’ ability to express themselves in English but also reduce their participation in classroom activities. Despite these obstacles, the study found that active engagement in speaking activities positively impacts students’ learning outcomes, highlighting the importance of supportive and interactive teaching methods. Engagement varied, with students demonstrating greater participation in structured activities than in spontaneous speaking tasks. Based on the findings, the study provides recommendations for fostering a more engaging and effective learning environment.

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