Currently, chemical dishwashing liquids are among the most commonly used cleaning products in households due to their convenience, rapid effectiveness, and low cost. Although chemical dishwashing liquids provide significant cleaning efficiency, they pose many potential risks to human health and the environment, particularly aquatic environments. This is because industrial dishwashing liquids are mostly formulated from water combined with various chemical components such as LAS, SLS, NaOH, SLES, MgSO₄, NH₄Cl, acids, alkalis, fragrances, formaldehyde, and the antibacterial agent triclosan (Adelliya, 2021). These substances can cause numerous health problems with frequent exposure, including the risk of irritant dermatitis. Moreover, if not thoroughly rinsed off, residues may remain on dishes and enter the body, leading to serious health impacts on users, especially pregnant homemakers. In addition, when discharged into the environment, industrial dishwashing liquids contribute to environmental pollution and harm aquatic organisms (Hong-Yan et al., 2009). Given these concerns, the replacement of industrial dishwashing liquids with environmentally friendly alternatives has become increasingly necessary. The fermentation of coconut is a complex biological process in which microorganisms convert sugars in coconut water into products such as alcohols, organic acids, and flavor compounds. Coconut enzyme is fermented coconut water produced by a microbial system. Due to its organic acid content and synergistic combination with natural ingredients—including coconut ash water (for odor removal), coconut essential oil extract (cocamidopropyl betaine source), coco glucoside (foaming agent), guar gum (thickener), baking soda (NaHCO₃), and table salt (NaCl)—the formulation offers effective cleaning, skin moisturization, and safety for children and individuals with sensitive skin.

This article investigates modality in UK news discourse on natural disasters, drawing on a corpus of 50 disaster-related news reports collected from five UK online newspapers. The corpus comprises 23,804 words, with an average length of 476 words per report. Methodologically, the study adopts a mixed-methods design, integrating qualitative descriptive analysis to identify, categorize, and interpret modal expressions in context with quantitative analysis to determine the frequency and distribution of modal resources across the corpus. All texts were annotated and statistically processed using UAM CorpusTool 6.2. The findings reveal that, out of 386 modal tokens, verbal modality overwhelmingly predominates (328 tokens; 85%), while nonverbal modality is comparatively limited (15%), suggesting hard-news reporting favors more determinate, less overtly subjective forms. Modal auxiliaries are the primary resource, led by will (70), can (50), could (43), and would (36). Adjectival modality is diverse but less frequent overall (28 items), with likely (12) most common, followed by possible (9) and unable/sure (7 each). Adverbial modality is rare, with only definitely (2) and maybe/possibly/perhaps (1 each). This paper advances applied linguistics theory and offers practical insights for improving journalistic communication in Vietnam.

This paper presents the design, implementation, and empirical evaluation of a sophisticated automated alcohol distillation system. The system integrates modern control theory with Internet of Things (IoT) technology to overcome the limitations of traditional manual distillation, which often suffers from inconsistent product quality, high labor dependency, and significant safety risks. The core of the system employs a REX-C100 PID temperature controller for precise thermal regulation, an ESP8266 microcontroller for IoT connectivity, and an array of sensors including a K-type thermocouple and an MQ-3 alcohol concentration sensor for comprehensive process monitoring and safety. A detailed mathematical model of the distillation process and an enhanced PID control algorithm with feedforward compensation are provided. Experimental results demonstrate a 50% reduction in processing time, an increase in process efficiency from 60% to 90%, and a remarkable improvement in product quality consistency from 70% to 95%, all while maintaining a temperature control accuracy of ±1°C. The system successfully enables remote monitoring and control via the Blynk IoT platform, establishing a robust framework for intelligent, safe, and efficient distillation applicable to both small-scale and industrial production

In recent years, water hyacinth (Eichhornia crassipes) has been widely recognized as an invasive aquatic plant that proliferates rapidly on rivers, canals, ponds, and lakes, obstructing waterway transportation, impeding water flow, and contributing to environmental degradation. Despite its abundance in large river systems such as the Bach Dang River in Thu Dau Mot City, Binh Duong Province, this biomass resource remains largely underutilized, leading to significant waste of natural materials and ongoing ecological challenges. This study proposes an eco-friendly alternative by transforming water hyacinth into handmade paper sheets with natural coloration, rustic aesthetic, and complete absence of harmful chemicals. The resulting products exhibit acceptable strength and surface quality, making them suitable for practical and decorative applications including coasters, shoe insoles, greeting cards, notebooks, biodegradable packaging, paper bags, and eco-handicraft items. Raw materials were collected directly from the Bach Dang River by a student research group. The research employed a combination of primary and secondary data collection methods, along with experimental, analytical, and synthesis approaches to develop and evaluate the manual paper-making process. The developed chemical-free production method successfully yielded durable paper sheets that are environmentally safe and biodegradable. The findings demonstrate the feasibility of converting an invasive plant into value-added sustainable products, thereby contributing to waste reduction, biomass reuse, and the promotion of green production practices. Although the study is preliminary and limited by manual processing, lack of mechanization, and absence of standardized quantitative testing (e.g., tensile strength, water absorption, and biodegradability under controlled conditions), it provides a promising foundation for further optimization and scale-up. Future research should focus on improving uniformity, enhancing mechanical properties through natural additives, and conducting comprehensive performance and life-cycle assessments to support practical commercialization and broader environmental impact

Undergraduate research is widely recognized as a meaningful practice that develops students’ critical thinking, problem‑solving, and science identity, yet student engagement remains uneven due to multiple factors. To address this issue, this mixed-methods study examines undergraduate students’ engagement in research at a Vietnamese university, focusing on their attitudes, perceived support, and intentions to participate. Survey data (N = 164) and interviews (N = 8) reveal a clear divide between students’ positive views of research outcomes and their ambivalence toward the research process. Although students believe lecturers are supportive, they report low comfort in seeking help, limited peer encouragement, and little awareness of institutional research policies. Students express moderate intention to conduct a research project but show strong reluctance toward presenting or publishing their work. The qualitative findings highlight psychological barriers, unclear pathways, and an outcome-oriented mindset. The study argues that current support structures are passive and insufficient. Institutions should implement more visible, structured mentorship to strengthen students’ confidence and foster a more active undergraduate research culture.

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.

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 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 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 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

There are many methods and software for simulating materials in practice today, each software or computational method has its own advantages and disadvantages. In the process of studying and researching material simulation, we found that the VASP software combined with the Density Functional Theory (DFT) method is perfect up to this point. Reliability, accuracy, and low resource and time consumption during the calculation process are the standout advantages of this combination. DFT calculations on VASP require the precise construction of input data, including the input files, and it is not necessary to write code to process the output data, which is a significant advantage compared to other methods. Output data is processed through commonly used support software such as Origin and VESTA, which is an advantage of this simulation calculation method.

The application of Artificial Intelligence (AI) in education is rapidly transforming the teaching and learning landscape in Vietnam. AI technology is being integrated into various educational platforms to provide personalized learning experiences, support educators, and enhance the overall efficiency of the education system. In Vietnam, AI is utilized to develop adaptive learning programs, intelligent tutoring systems, and automated administrative processes. AI-powered tools such as virtual teaching assistants and chatbots are also being employed to offer real-time support and feedback to students. Furthermore, AI-driven data analytics is used to monitor and improve student performance and engagement levels. AI assists teachers in automating grading, reducing assessment time, and enabling speech recognition systems to evaluate students’ English-speaking skills. These innovations contribute to a more dynamic, interactive, and inclusive educational environment. However, challenges such as data privacy concerns, the digital divide, and the demand for a skilled workforce remain significant. Addressing these issues is crucial for the sustainable integration of AI into Vietnam’s education sector.

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

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

This is a descriptive study to find out students’ awareness about the benefits and harm that they have experienced from using the AI tools during their learning process. The study was founded on a survey and an interview among majored-English students at Thu Dau Mot University. The data was then This descriptive study aims at finding out students’ awareness about the benefits and harm that they have experienced from using AI tools during their learning process. A four-section survey including open and closed-ended questions was sent out, and 193 majored-English students at Thu Dau Mot University responded randomly. The striking finding is that although students preferred AI tools to support their learning, they themselves accepted the benefits gained and the challenges faced were just a little over the average. In particular, the participants confirmed that AI tools contribute much to the fast speed of their academic work completion, but AI also makes them passively think, become inflexible, and somewhat limit the ability to equip knowledge for their English language competence.

The paper analyzes the radial distribution power system with the series connection of FACTS devices, which is easily implemented using a formula from the power flow equation (PFE - power flow equation) with the voltage magnitude and power flow on the lines are treated as independent variables. When control variables such as the form of reactive power at nodes and lines are directly manipulated in the formulation, the application of FACTS device control operations in the power system is carried out quickly and directly. Using the ratio matrix at the nodes of a radial distribution system is primarily represented on the main diagonal to reduce computational procedures. All FACTS device models are unified under static stability conditions and can be easily integrated within the new framework through the process of "variable exchange". Using the IEEE standard system, the formulation of the formula is based on the trend on the line - Line Flow Based (LFB) by the author to provide easy implementation with multiple FACTS devices connected in the system and its efficiency.

The rising demand for automation in agriculture and manufacturing necessitates efficient, cost-effective sorting systems to replace labor-intensive manual processes. This paper introduces an innovative system integrating a Siemens S7-1200 Programmable Logic Controller (PLC), LabVIEW-based image processing, and OPC (OLE for Process Control) communication for automated tomato sorting. Utilizing real-time vision analysis, the system classifies tomatoes by color and size, offering a low-cost, scalable solution tailored for small-scale industries. A high-resolution camera captures images, processed in LabVIEW using HSV color space and size thresholds, with results relayed via OPC to the PLC, which actuates a stepper motor-driven sorting mechanism. Experimental validation in a controlled setting achieved 92% sorting accuracy and a throughput of 60 tomatoes per minute, surpassing manual sorting in speed and consistency. The modular design supports scalability to other agricultural products, enhancing its practical utility.

Waste in the production process causes waste of resources and resources while not creating real value, which is a major threat, reducing the competitiveness of enterprises. One of the measures that can both improve productivity and reduce costs effectively for enterprises is line balancing. Line balancing effectively maximizes idle time at stations, minimizes the number of workstations as well as uses fewer workers and equipment while still ensuring the company's production output and significantly increases production efficiency. The article focuses on the production line of Vancover Dining chair backrest clusters at Thanh Thang Limited Company. The actual production line still has some problems such as many stages of semi-finished products and too much idle time at some other stages. Therefore, the study proposes a method of rearranging the line in a U-shape to balance the production line to optimize the production process, but also from eliminating non-value-added activities. By reducing waste, enterprises not only save costs but also achieve increased output and shortened production time.

Assessing the current status of solid waste management in the leather footwear industry of Can Sports Vietnam Co., Ltd. in particular to identify urgent issues in solid waste management. Through the assessment process, it was found that the company has implemented well the steps of solid waste management from classification, collection and storage, according to the provisions of law and customers. However, there are still difficulties in management arising from workers' awareness, management costs, and facilities when storing waste. With the amount of solid waste increasing according to production needs, the topic has proposed appropriate solutions such as disseminating detailed instructions on the classification process to workers and establishing reward, and incentive mechanisms for improvement projects to help reduce solid waste in production.

Resistant starch (RS) is an insoluble fibre stable under various food processing conditions, including high temperatures and pH levels. RS has many beneficial effects on human health, such as positive effects on digestive tract activity, microflora, blood cholesterol levels, glycemic index, diabetes control, increased satiety and effective weight loss. Recently, RS has emerged as a comprehensive health improvement solution. This report helps to clarify the basis of the effects and applications of this type of starch.

The objective of this paper is to describe the empty calories consumption using the application of some behavior change models (theories). The alarming rise in empty calories consumption, encompassing fast foods, junk foods, and ultra-processed foods, poses a significant threat to global public health. This review synthesizes existing literature on the prevalence, health implications, and determinants of empty calories consumption. Findings reveal a robust link between empty calories intake and various chronic diseases, including obesity, diabetes, cardiovascular disease, and certain cancers. The socio-ecological model (SEM) provides a framework for understanding the multifaceted influences on empty calories consumption, spanning individual, social, community, organizational, and policy levels. Other related theories are equally important in discerning empty calories consumption nowadays. This paper concludes by advocating for a multi-faceted approach to mitigate empty calories consumption, incorporating targeted interventions at individual, community, and policy levels

Dragon fruit-based wine is a value-added product that enhances the value of domestic agricultural products, especially for those facing challenges in raw form export. In this study, Saccharomyces cerevisiae yeast cells were immobilized using the Ca-alginate carrier for assessing the influence of Na-alginate and CaCl2 concentrations on the quality of immobilized Ca-alginate beads during wine fermentation. A repeated fermentation study was conducted to determine the efficiency and stability of immobilized beads in dragon fruit-based wine fermentation. The results indicated that the immobilized Ca-alginate beads exhibited good fermentation efficiency with 3% Na-alginate and 2% CaCl2 concentrations. Moreover, the fermentation efficiency was maintained through at least four fermentation cycles. The immobilized yeast cells contributed to the production of wine with favorable qualities in terms of color and taste, meeting the standards in laboratory-scale TCVN 3215-79. These findings underscore the potential of cell immobilization technology using Ca-alginate carriers in the fermentation process of dragon fruit- based wine. This technology significantly enhances the value and diversifies the range of Vietnamese agricultural products, mainly dragon fruit