Tạp chí của Trường Đại học Thủ Dầu Một
Thu Dau Mot University Journal of Science
Văn hóa chất lượng và cải tiến công tác quản trị đại học: Trường hợp Trường Đại học Thủ Dầu Một
Bài viết phân tích văn hóa chất lượng như một nền tảng nội sinh của quản trị đại học hiện đại, đồng thời nhận diện thực trạng xây dựng văn hóa chất lượng tại Trường Đại học Thủ Dầu Một. Dữ liệu nghiên cứu được khai thác từ báo cáo tổng kết năm học, báo cáo thường niên, hệ thống quy trình ISO, kết quả kiểm định chất lượng và các văn bản chiến lược của Nhà trường, kết hợp với phân tích các khung lý thuyết của Harvey và Stensaker (2008), Schein (2010) và European University Association (2006). Kết quả cho thấy nhận thức về bảo đảm chất lượng trong toàn trường đã có chuyển biến tích cực, hệ thống quy trình ISO và kết quả kiểm định bước đầu tạo tiền đề cho quản trị dựa trên minh chứng; tuy nhiên, văn hóa chất lượng chưa lan tỏa đồng đều, cải tiến chưa trở thành nhu cầu tự giác thường xuyên và việc sử dụng dữ liệu trong quản trị còn hạn chế. Trên cơ sở đó, bài viết đề xuất các giải pháp gắn phát triển văn hóa chất lượng với cải tiến quản trị thông qua tăng cường vai trò lãnh đạo, thúc đẩy quản trị dựa trên dữ liệu và xây dựng môi trường cải tiến liên tục.
Vốn văn hóa trong quá trình biến đổi sinh kế của người Khmer ở tỉnh Bình Phước
Sống trong bối cảnh công nghiệp hóa, đô thị hóa và chuyển đổi cơ cấu kinh tế diễn ra nhanh chóng, sinh kế của người Khmer ở tỉnh Bình Phước đã có nhiều biến đổi sâu sắc. Hoạt động sinh kế của họ không chỉ dựa vào các nguồn lực kinh tế thông thường mà còn dựa vào nguồn vốn văn hóa để duy trì và thích ứng. Bài viết này dựa trên nguồn dữ liệu điền dã dân tộc học từ năm 2021 đến năm 2024 với các phương pháp phỏng vấn sâu sáu thông tín viên, quan sát tham dự các hoạt động sinh kế, lễ hội và cuộc sống cộng đồng nhằm phân tích vai trò của vốn văn hóa trong quá trình biến đổi sinh kế của người Khmer ở tỉnh Bình Phước. Kết quả nghiên cứu cho thấy vốn văn hóa như tri thức tộc người, Phật giáo Nam tông, mạng lưới xã hội từ chùa, phum sóc không chỉ góp phần duy trì bản sắc tộc người mà còn trở thành nguồn lực nội sinh, chuyển hóa thành các nguồn vốn sinh kế khác để hỗ trợ cộng đồng thích ứng với những biến động kinh tế, xã hội hiện nay. Nghiên cứu hàm ý thúc đẩy sự phát triển bền vững cho người Khmer cần tôn trọng sự đa dạng văn hóa, tiếp cận từ góc nhìn nội tại của cộng đồng và khai thác hiệu quả nguồn vốn văn hóa tộc người.
Đạo đức truyền thông trong kỷ nguyên số: Hàm ý giảng dạy cho ngành truyền thông đa phương tiện tại Trường Đại học Thủ Dầu Một
Bài viết phân tích các thách thức đạo đức truyền thông trong bối cảnh chuyển đổi số, tập trung vào vai trò của giáo dục đại học trong đào tạo sinh viên ngành Truyền thông đa phương tiện, với chương trình đào tạo tại Trường Đại học Thủ Dầu Một làm trường hợp tham chiếu. Nguồn dữ liệu gồm tài liệu học thuật, văn bản pháp lý và đề cương học phần của chương trình đào tạo. Kết quả phân tích cho thấy đạo đức truyền thông đang chuyển dịch từ hệ chuẩn nghề nghiệp tương đối ổn định sang năng lực thiết yếu trong môi trường số, bao gồm nhận diện rủi ro thông tin, kiểm chứng nguồn tin, tuân thủ bản quyền, sử dụng trí tuệ nhân tạo có trách nhiệm và ra quyết định nghề nghiệp dưới áp lực của nền tảng số. Từ đó, bài viết đề xuất cách tiếp cận tích hợp đạo đức, năng lực số và thực hành nghề nghiệp trong đào tạo, với các định hướng về chuẩn đầu ra, phương pháp giảng dạy và tiêu chí đánh giá năng lực đạo đức truyền thông số.
Vai trò của chính quyền đô thị Seoul trong phát triển hệ sinh thái đổi mới sáng tạo ngành hoạt hình và bài học cho Thành phố Hồ Chí Minh
Trong bối cảnh kinh tế sáng tạo và công nghiệp nội dung số mở rộng nhanh, mô hình hỗ trợ đổi mới sáng tạo ở cấp đô thị trở thành vấn đề đáng quan tâm trong phát triển công nghiệp văn hóa. Bài viết phân tích vai trò của chính quyền thành phố Seoul trong kiến tạo hệ sinh thái đổi mới sáng tạo của ngành hoạt hình, từ đó rút ra các hàm ý cho Thành phố Hồ Chí Minh. Nghiên cứu sử dụng phân tích tài liệu thứ cấp kết hợp nghiên cứu trường hợp. Kết quả cho thấy chính quyền Seoul tác động đến hệ sinh thái ngành hoạt hình thông qua phát triển hạ tầng sáng tạo, thiết kế cơ chế hỗ trợ tài chính, kết nối đào tạo nhân lực với nhu cầu ngành và thúc đẩy thương mại hóa tài sản trí tuệ (IP). Mô hình này đồng thời đặt ra các vấn đề về nguy cơ hành chính hóa sáng tạo, khoảng cách số và phân mảnh trong quản trị. Trên cơ sở đó, bài viết đề xuất các hàm ý chính sách cho Thành phố Hồ Chí Minh, nhấn mạnh yêu cầu điều chỉnh kinh nghiệm Seoul theo điều kiện thể chế, nguồn lực và bối cảnh phát triển của địa phương.
Ứng dụng công cụ truyền thông trong xây dựng ấn phẩm quảng bá công trình tôn giáo tại phường Thủ Dầu Một, Thành phố Hồ Chí Minh
Sự phát triển của truyền thông số và các công cụ sáng tạo nội dung đã mở ra nhiều hướng tiếp cận mới trong việc giới thiệu, quảng bá các công trình tôn giáo như những không gian lưu giữ giá trị văn hóa, kiến trúc, lịch sử và đời sống tinh thần của cộng đồng. Bài viết phân tích và đề xuất cách ứng dụng công cụ truyền thông trong xây dựng ấn phẩm quảng bá các công trình tôn giáo tiêu biểu tại phường Thủ Dầu Một, Thành phố Hồ Chí Minh.Trên cơ sở khảo sát 116 sinh viên ngành Truyền thông đa phương tiện, kết hợp phân tích thực trạng truyền thông và quá trình thiết kế sản phẩm thực nghiệm, nghiên cứu làm rõ nhu cầu tiếp nhận thông tin, mức độ quan tâm của công chúng trẻ và tiềm năng của hình thức catalogue trong truyền thông văn hóa. Kết quả cho thấy catalogue, khi được kết hợp với các nền tảng truyền thông số như Facebook, TikTok, mã QR và định dạng flipbook, có khả năng tăng cường tính trực quan, mở rộng phạm vi tiếp cận và nâng cao hiệu quả lan tỏa thông tin về các công trình tôn giáo. Bài viết góp phần khẳng định vai trò của truyền thông số trong bảo tồn, giới thiệu và phát huy giá trị di sản văn hóa địa phương, đồng thời đề xuất hướng ứng dụng phù hợp cho việc xây dựng các ấn phẩm truyền thông văn hóa trong bối cảnh chuyển đổi số hiện nay.
Đào tạo nguồn nhân lực công nghiệp văn hóa: Bài học kinh nghiệm từ các trường tại Trung Quốc và khuyến nghị cho Trường Đại học Thủ Dầu Một
Trong bối cảnh Việt Nam đang thúc đẩy công nghiệp văn hóa trở thành ngành kinh tế mũi nhọn và đặt ra yêu cầu đổi mới đào tạo ở bậc đại học, bài viết phân tích kinh nghiệm đào tạo nguồn nhân lực công nghiệp văn hóa tại ba trường đại học tiêu biểu của Trung Quốc gồm Đại học Truyền thông Trung Quốc (CUC), Đại học Sơn Đông (SDU) và Đại học Chiết Giang (ZJU). Nghiên cứu sử dụng phương pháp định tính, gồm phân tích tài liệu thứ cấp, đối sánh mô hình đào tạo và phỏng vấn sâu bán cấu trúc 09 chuyên gia. Kết quả cho thấy mô hình đào tạo tại ba trường Trung Quốc hội tụ ở ba yếu tố có tính tương hỗ gồm chính sách nhà nước tạo nền tảng thể chế, chương trình liên ngành định hướng thực tiễn theo cấu trúc cốt lõi và chuyên sâu, cùng cơ chế gắn kết có hệ thống giữa nhà trường với doanh nghiệp và thị trường lao động; đào tạo tại địa bàn nghiên cứu còn khoảng cách rõ rệt về kỹ năng số, quản trị dự án và tư duy sản phẩm định hướng thị trường; và Trường Đại học Thủ Dầu Một (TDMU) cần phát triển chương trình liên ngành, tăng gắn kết với hệ sinh thái công nghiệp văn hóa khu vực Đông Nam Bộ và xây dựng cơ chế đo lường chuẩn đầu ra theo năng lực nghề nghiệp được kiểm chứng bởi thị trường. Nghiên cứu góp phần bổ sung giá trị thực tiễn khi là một trong số ít công trình tại Việt Nam đối sánh có hệ thống mô hình đào tạo công nghiệp văn hóa Trung Quốc với bối cảnh một trường đại học địa phương đang trong giai đoạn định hình chiến lược phát triển ngành.
Hạ tầng mềm trong phát triển công nghiệp văn hóa: Tổng quan lý thuyết và hàm ý chiến lược cho Việt Nam
Công nghiệp văn hóađang trở thành một động lực quan trọngcủa tăng trưởng kinh tế, đổi mới sáng tạo và gia tăng sức mạnh mềm quốc gia. Tuy nhiên, tại Việt Nam, nghiên cứu về hạ tầng mềm trong phát triển công nghiệp văn hóa còn phân tán, thiếu một khung lý thuyết tích hợp phục vụ hoạch định chiến lược dài hạn. Bài viết sử dụng phương pháp tổng quan tài liệu theo hướng tường thuật, kết hợp phân tích và đối chiếu các công trình trong và ngoài nước. Trên cơ sở tổng quan các nhóm lý thuyết về kinh tế sáng tạo, vốn văn hóa, vốn xã hội, thể chế, quản trị văn hóa và hệ sinh thái sáng tạo, bài viết làm rõ vai trò của hạ tầng mềm đối với sự phát triển công nghiệp văn hóa. Kết quả cho thấy hạ tầng mềm là nền tảng để bảo vệ quyền sáng tạo, phát triển nguồn nhân lực, thúc đẩy mạng lưới hợp tác và khai thác hiệu quả vốn văn hóa bản địa. Bài viết đề xuất khung tiếp cận đa tầng gồm: tầng thể chế-chính sách, tầng nguồn nhân lực sáng tạo, tầng mạng lưới-không gian sáng tạo và tầng vốn văn hóa bản địa. Hàm ý chính cho Việt Nam là cần chuyển từ tư duy đầu tư thiên về hạ tầng cứng sang xây dựng đồng bộ hệ sinh thái hạ tầng mềm nhằm nâng cao năng lực cạnh tranh và phát triển bền vững công nghiệp văn hóa.
Chuyên san Sinh thái Công nghiệp văn hóa
On fractional integro-differential equations with deviating argument
A class of fractional integro-differential equations with devi ating arguments is investigated in this work. By employing Babenko’s inverse operator technique, the considered prob lem is reformulated as an equivalent nonlinear integral equa tion in the Banach space C[a,b]. This reformulation en ables the application of the Banach contraction principle to guarantee the existence and uniqueness of a solution under appropriate assumptions. Moreover, an Ulam–Hyers stabil ity result is derived for the main equation. The analytical approach presented here can be further applied to various families of fractional differential equations involving integral terms and deviating arguments.
Nonlinear Third-Order differential equation with conditions on boundary integrative and source singular functions
In this paper, we extend the results presented in Sergey Smirnov’s 2022 study. In that work, Smirnov examined a nonlinear third-order differential equation with integral boundary conditions and a nonsingular source function. In contrast, we investigate the corresponding problem with a singular source function. In particular, we construct the associated Green’s function and establish sufficient conditions for the existence of nontrivial solutions.
Using a Two-Age-Class Leslie model to analyze the population growth rate of Aedes aegypti
Mosquitoes of the species Aedes aegypti are primary vectors of dengue, Zika, and chikungunya viruses, representing a major global health concern. Mathematical models of population dynamics provide valuable insights into vector control strategies. In this study, we apply a two-age-class Leslie matrix to investigate the growth rate of Aedes aegypti populations, partitioning the life cycle into juveniles (larvae) and reproductive adults. Survival and fertility parameters are derived from empirical entomological data. We mathematically derive the characteristic polynomial to determine the dominant eigenvalue and its corresponding eigenvector. Furthermore, we introduce sensitivity and elasticity analyses to highlight the relative impacts of larval survival and adult fecundity on the overall growth rate. The analytical results demonstrate that population expansion is strictly conditional on the product of survival and fertility rates. Under favorable ecological conditions, the dominant eigenvalue exceeds unity, indicating rapid expansion. However, under simulated vector control scenarios, falls below unity, confirming population decline. The mathematical derivations also prove that the stable age distribution is robust, relying on the square root of the survival-to-fertility ratio. The study provides a theoretical basis for combining fundamental matrix algebra with entomological data to identify highly targeted, actionable pathways for dengue prevention.
Enhancing measurement accuracy in Kater's pendulum experiments via an AI-assisted virtual laboratory
This study identifies and rectifies a systematic deficiency in existing virtual Kater reversible pendulum experiments: the equal-period condition T1 = T2 is conventionally located by visual inspection of discretely sampled data, introducing a worst-case grid-selection error of up to approximately 0.08% in the calculated gravitational acceleration. The work makes three contributions. First, a linear interpolation algorithm is embedded within a Python/Streamlit web application to replace manual estimation with a reproducible numerical procedure, reducing the discretisation error to below 0.002% - a forty-fold improvement. Second, a sensitivity analysis over sampling steps of 0.5–5.0 mm confirms that the original 1 mm step of the HCMUTE simulation is adequate, with errors rising to 0.064% only at 5 mm. Third, a retrieval-augmented AI tutor is integrated to guide student reasoning without supplanting the physical model. The framework generalises to any experiment that requires locating a characteristic point in discrete data.
The neutron production efficiency on several targets used for Accelerator Driven nuclear reactors
This paper presents calculations of neutron yields when a proton beam interacts with a target in an Accelerator - Driven Subcritical Reactor (ADSR). The proton beam has various energy levels, ranging from 0.5 GeV to 2.0 GeV. The interacting targets were Pb, W, Au, and Pb-Bi, in both solid and molten states. The MCNPX program was used for the calculations, and the spallation models applied were CEM, Bertini, and ISABEL (Intranuclear Cascade Models – ICM; hereafter referred to as INC models). The results show that the Bertini and ISABEL models are more suitable for these calculations; The difference in neutron yield on liquid lead between CEM and Bertini is very large (more than 50 %), while the difference between ISABEL and Bertini is only about 3 %. The CEM model shows a significant difference compared to the other models in this calculation and in previous studies. The results also indicate that for the same metal (e.g., Pb), the neutron yield of a solid target is always higher than that of a liquid target. These findings assist in selecting the proton beam energy to achieve the desired neutron yield for each type of ADSR. A proton beam energy of 1 GeV and the use of the Bertini model provide optimal results. However, the choice of proton beam energy depends on factors such as the size (large or small), the type of interaction target (solid or liquid), and the type of coolant (whether using conventional coolant or liquid metal that serves both as the interaction target and the coolant) of the ADSR
Germanium nanoclusters as a promising nano optoelectronic material: Insights from DFT
Germanium - based nanostructures have attracted significant attention due to their tunable electronic and optical properties arising from strong quantum confinement effects. This paper presents the structural, electronic, and optical properties of germanium nanocluster (GeNCs) investigated using density functional theory (DFT) within the Quantum Espresso simulation package. The optimized GeNC structure has a cohesive energy of -3.596 eV and an average Ge-Ge bond length of 2.32 Å, indicating high structural stability. Analysis of the electronic band structure and density of states (DOS) shows discrete energy levels and a finite DOS at the Fermi level, revealing weak semimetallic behavior due to Ge-H hybridization effects. The charge density distribution indicates that Ge-Ge bonds have a covalent character. The HOMO (Highest Occupied Molecular Orbital) states are mainly localized in the central region, while the LUMO (Lowest Unoccupied Molecular Orbital) states are extended toward the surface. The optical spectra exhibit absorption peaks at 1.6 eV, 2.2 eV, and 4.5 eV, with a maximum absorption coefficient of approximately 2.5×10⁵ cm⁻¹. The JDOS spectrum shows several peaks between 0.9 and 9.4 eV, confirming energy discretization and the presence of internal plasmon resonance. These results demonstrate that GeNCs possess strong optical activity and show potential for applications in nano-optoelectronic devices and optical sensors.
Effect of extraction temperature on polyphenol content and antioxidant activity of booth Avocado seeds (Persea Americana)
This study examined how extraction temperature influences the total phenolic content and free radical scavenging activity of avocado seed extract. Avocado seed extracts were obtained using a reflux Soxhlet method with 70% ethanol as the solvent at temperatures ranging from 30 to 70 °C. The highest extraction yield (34.67 ± 1.06%) was obtained at 50 °C. A significant increase in total phenolic content (P < 0.05) was observed as the extraction temperature increased from 30°C to 50°C. However, further increases in temperature (≥ 60 °C) resulted in a reduction in total phenolic content. The total phenolic content of the 70% ethanol extract of avocado seeds obtained at 50°C was 129.29 ± 5.92 mg GAE/kg DW. Extracts obtained at lower temperatures exhibited higher free radical scavenging activity than those obtained at higher temperatures, with 50°C identified as the optimal extraction temperature, yielding the lowest half maximal inhibitory concentration (IC50 = 30.23 ± 2.15 mg/mL)
Photoprotective potential of natural products against ultraviolet-induced skin damage
Ultraviolet (UV) radiation is a major extrinsic factor contributing to oxidative stress, inflammation, photoaging, pigmentary disorders, and long-term skin damage. UVA and UVB exposure can increase reactive oxygen species production, activate pro-inflammatory signaling pathways, accelerate extracellular matrix degradation, and promote melanogenesis through tyrosinase- and microphthalmia associated transcription factor-related mechanisms. Although sunscreens and depigmenting agents are widely used for photoprotection, concerns regarding skin irritation, consumer acceptability, and long-term safety have stimulated interest in natural alternatives. This narrative review synthesizes current evidence on selected natural products with photoprotective potential, focusing on phenolics, flavonoids, anthocyanins, carotenoids, vitamins, and related bioactive compounds. Evidence from cellular, animal, and clinically relevant studies was organized according to major mechanistic endpoints, including oxidative stress attenuation, inflammatory modulation, extracellular matrix preservation, and regulation of melanogenic pathways. The reviewed findings indicate that green tea polyphenols, propolis, pomegranate, bilberry, resveratrol, curcuminoids, Perilla frutescens, Amaranthus tricolor, sweet potato leaves, and Centella asiatica show promising skin protective activities. However, the evidence remains heterogeneous because of differences in UV dose, exposure model, extract standardization, formulation, and biological endpoints. Further studies using standardized UVA/UVB models, phytochemical characterization, safety assessment, and clinically relevant formulations are needed to support evidence-based application.
Overview bioinformatics in agriculture: From genomic research to applications
The exponential proliferation of genomic data driven by Next Generation Sequencing (NGS) has created a critical demand for sophisticated bioinformatics tools to manage large-scale biological "big data". Modern agriculture faces the urgent challenge of ensuring global food security amidst climate change, necessitating a fundamental shift from traditional phenotypic observation to precision genomic design. This paper investigates the systematic role of bioinformatics in modern agricultural research, specifically focusing on the transition from single reference genome approaches to advanced pangenomics and multi omics integration to decipher complex agronomic traits. Research methodology employed a systematic review and comparative analysis were conducted to evaluate the transformative impact of computational methodologies on crop and livestock improvement. Scientific articles and research papers published from the 1950s to 2025 were retrieved from major biological databases (NCBI, Ensembl Plants, PRGdb) using targeted keywords. The methodology analyzed the integration of multilayered datasets—encompassing transcriptomics, proteomics, and metabolomics—within a systems biology framework to model the complex interactions between genetic architectures and dynamic environmental stressors. Findings demonstrate that bioinformatics driven strategies, particularly Genomic Selection (GS), can achieve genetic gains 2 to 4 times higher than traditional phenotypic selection while significantly shortening breeding cycles. The shift toward pangenomics effectively captures "missing heritability" and structural variations essential for enhancing disease resistance. Breakthrough applications, such as CRISPR/Cas9 gene editing, provide a robust platform for precisely modifying target genes to improve crop resilience. In conclusion, the synergy between high-throughput sequencing and Artificial Intelligence (AI) is indispensable for ensuring global food security and a sustainable agricultural future.
A comprehensive review of molecular docking methods in Structure-Based drug design
Molecular docking is a core computational technique extensively applied in structure-based drug design and molecular biology for predicting binding modes and binding affinities between small molecules and biological macromolecules. By simulating protein ligand interactions at the atomic level, docking methods enable efficient virtual screening and rational optimization of drug candidates prior to experimental validation. This review provides a comprehensive and systematic overview of molecular docking methodologies, focusing on theoretical foundations, computational workflows, protein and ligand preparation, interaction mechanisms, scoring functions, and practical applications in drug discovery. Emphasis is placed on commonly adopted docking procedures and interaction analyses, highlighting both the strengths and intrinsic limitations of the method. Finally, current challenges and future perspectives of molecular docking in modern computational drug discovery are discussed.
Optimization of enzyme-assisted extraction of phenolics and saponins from Paramignya trimera (oliv.) Burkill root and evaluation of ultrasound-enzyme combined techniques
Xao tam phan (XTP) root (Paramignya trimera), a well-known Vietnamese medicinal plant, is rich in bioactive phenolics and saponins. This work optimized an enzyme assisted ultrasound extraction to maximize total phenolic content (TPC) and total saponin content (TSC) from the root. Screening with a Plackett–Burman design identified the most influential variables, and Response Surface Methodology (RSM) then refined the process. The optimal enzyme pre- extraction conditions were 0.91% pectinase–cellulase, 47°C, and 105 minutes. Under these conditions, TPC and TSC increased by 43.5% and 52.9%, respectively, compared to untreated control samples. The study also evaluated different ways of combining ultrasound with enzymatic treatment. Ultrasound treatment before enzyme assisted extraction (U EAE) produced the highest yields, delivering 12.63 mg GAE/g d.b for TPC and 274.46 mg AE/g d.b for TSC. These values correspond to 1.77fold and 3.2fold improvements over the controls, respectively. The findings indicate that U EAE is a promising, efficient approach for recovering valuable phytochemicals from P. trimera root and could support future development of functional extracts and related products. In addition, the optimized protocol may reduce solvent use and processing time, improving sustainability for laboratory and industrial applications. Further studies on compound profiles, bioactivity, and scale up will help translate these extraction gains into standardized preparations.
Applications of artificial intelligence in food quality and safety assurance - A review
Artificial intelligence (AI) has been increasingly explored in the food industry, particularly in enhancing food safety and quality assurance systems. This study provides a comprehensive synthesis of current AI applications across the food supply chain, from raw material monitoring to post-processing quality control. Machine learning (ML), deep learning (DL), computer vision, and spectroscopy integrated AI systems are increasingly utilized to detect pathogens, identify contaminants, predict spoilage, and monitor environmental conditions in real time. Additionally, AI-driven predictive models support risk assessment and proactive decision-making, thereby minimizing foodborne hazards and improving operational efficiency. In food quality assurance, AI technologies enable objective and rapid evaluation of sensory attributes, replacing traditional subjective methods. Advanced techniques such as convolutional neural networks (CNNs) and near-infrared spectroscopy combined with ML have demonstrated high accuracy in grading, classification, and compositional analysis of food products. Furthermore, AI applications extend to supply chain transparency, fraud detection, allergen identification, and predictive maintenance of processing equipment. Despite these advancements, challenges remain in data integration, model generalization, and infrastructure requirements. Future studies are expected to further explore the integration of AI with Internet of Things (IoT) systems and big data platforms, which may contribute to more automated and adaptive food safety management systems. Overall, AI represents a critical enabler for achieving safer, more efficient, and sustainable food systems in the context of global food security challenges.
Optimizing the removal efficiency of rhodamine B by hydrogen peroxide on a Cu-Mn/diatomite catalyst using Box-Behnken design
The Box-Behnken experimental design was used to study the effect of operating parameters on the removal efficiency of rhodamine B (RhB) by hydrogen peroxide on a Cu-Mn/diatomite catalyst. Input parameters included initial pH of the solution (5–9), catalyst dose (0.6–1.8 g/L), reaction time (10–50 min), and initial RhB concentration (50–90 mg/L). The effect of these parameters on the removal efficiency was modeled and optimized using response surface methodology (RSM) based on the Box-Behnken design (BBD). The BBD method demonstrated the ability to develop a highly accurate quadratic polynomial model for RhB removal efficiency (R2 ˃ 0.99). The optimization results using the BBD method showed a 100% removal efficiency under optimal conditions. These conditions included a pH of 5.11, a reaction time of 50 minutes, a catalyst concentration of 1.56 g/L, and an initial RhB concentration of 50 mg/L. The catalyst was recovered and reused through five consecutive cycles. The results showed that the RhB removal efficiency remained high after five recycling reaction cycles. The results demonstrate that Cu-Mn/diatomite is highly effective in dye removal in the presence of hydrogen peroxide.
Synthesis and application of CuS/MnS composite atalyst in synthetic Dye removal by persulfate/Periodate activation
Water pollution from organic dyes requires efficient catalytic systems for advanced oxidation processes (AOPs). The incorporation of transition metals into composite materials offers superior catalytic synergy. In this study, CuS/MnS composite catalysts were synthesized via a simple co-precipitation method at room temperature. Physicochemical characteristics were analyzed using FTIR, XRD, zeta potential, EDS, SEM, and BET methods. Catalytic performance was evaluated by its ability to remove Congo red (CR) and methylene blue (MB) dyes under periodate or persulfate activation, combined with free radical scavenging experiments to clarify the mechanism. The results showed that the optimal CuS/MnS (3:1) possessed a mesoporous structure, a specific surface area of 11.80 m2/g, and a negative charge (-20.5 mV). The material exhibited high CR decolorization performance (over 94%) and notable MB treatment ability (up to 97%), with periodate activation showing slightly better results than persulfate. The reaction mechanism confirmed that surface metal ions are essential active sites for catalytic cleavage. The decolorization process was flexible depending on the nature of the dye and the catalyst. Free radicals were the primary oxidizing agents that broke down the CR structure, while the catalytic system simultaneously generated both free radicals and singlet oxygen in the case of MB. This confirms the material's potential in practical wastewater treatment
Preparation of CoS and its composite with activated carbon for application in adsorption and decolorization of aqueous Dyes
The rapid development of the textile industry has led to serious water pollution from synthetic dyes, necessitating the development of effective and sustainable treatment technologies. In this study, a series of cobalt sulfide/activated carbon (CoS/AC) composite catalysts with different mass ratios was successfully synthesized through a simple precipitation method. The materials’ physicochemical characteristics were obtained from XRD, FTIR, SEM, EDS, zeta potential, and BET analysis. These analyses confirmed the uniform dispersion of CoS particles onto the activated carbon with a mesoporous structure. The performance of the composite materials was systematically evaluated for both adsorption and catalytic decolorization of methylene blue (MB) and Congo red (CR) dyes. Adsorption results showed dependence on electrostatic interactions, with the 5%CoS/AC composite exhibiting optimal adsorption for MB, while higher CoS loading favored CR adsorption. During catalytic decolorization, the persulfate (PS) activated system demonstrated higher efficiency and stability than the periodate (PI) system. The 15%CoS/AC catalyst achieved MB decolorization efficiency of up to 96.8% (at 40 mg/L) through PS activation. Free-radical scavenging confirmed that the free-radical pathways that primarily drive this enhanced performance. These findings suggest that CoS/AC composite materials hold promise for the complete treatment of textile wastewater.
Epidemiological characteristics of non-communicable diseases in Binh Duong Province, 2022-2024
The study on the epidemiological characteristics of non communicable diseases in Binh Duong Province during 2022–2024 is essential to provide scientific evidence for health management, policy development, and to guide appropriate intervention programs for the period from 2025 onwards. The research was conducted using a retrospective review of non-communicable diseases patient records across all healthcare facilities in Binh Duong Province over a three year period (2022–2024), employing a structured checklist. The findings indicated that four major disease groups accounted for over 60% of cases and should be prioritized in health policies. The prevalence was higher among men (52–56%) compared to women (44–48%). Individuals aged over 15 years represented 88.5% of NCD cases, more than 92% of patients were managed as outpatients, and the mortality rate was very low. A more effective strategy is needed to reach men, strengthen early prevention starting from adolescence, reinforce outpatient management, ensure the continuous availability of essential medicines for NCDs, and reduce unnecessary hospitalizations. Additionally, the community mortality recording system should be further improved
A narrative review of ai opportunities and strategic directions for healthcare in Northern Ho Chi Minh City 181-196
Amid Vietnam’s accelerating digital transformation, artificial intelligence (AI) is emerging as a practical tool for improving healthcare quality, efficiency, and access. This article examines the opportunities and challenges of AI adoption in the healthcare system of northern Ho Chi Minh City and suggests strategic directions for local implementation. A narrative literature review was conducted alongside an analysis of the local healthcare context using official reports, statistical data, and relevant published studies. The review indicates that rapid population growth, industrial expansion, and increasing service demand have placed considerable pressure on healthcare infrastructure, workforce capacity, and service delivery. In this setting, AI may support screening, health system management, telemedicine-based triage, epidemiological forecasting, and chronic disease monitoring, especially for workers and underserved populations. However, implementation remains limited by uneven data quality, underdeveloped digital infrastructure, weak interoperability, workforce skill gaps, and insufficient governance mechanisms. A phased, locally appropriate, and evidence-based approach is therefore needed for safe and sustainable integration
Knowledge, attitudes, and practices on dengue fever prevention and control among residents of Thu Dau Mot City, 2024-2025
Dengue Hemorrhagic Fever is a widespread infectious disease in Southeast Asia, imposing a significant burden on both healthcare systems and the economy. This study aims to determine the proportion of correct knowledge, attitudes, and practices regarding Dengue prevention and control among residents of Thu Dau Mot City, Binh Duong Province during 2024–2025, and to examine the associations among these factors. A cross-sectional descriptive and analytical study was conducted on 420 people that voluntarily participated, using structured individual interviews. Data collection took place from April 2024 to June 2025 across all communes and wards of Thu Dau Mot City. Results were the majority of participants were female (60.2%), with middle-aged and older adults accounting for a high proportion; most had a general education level. Residents demonstrated high levels of correct knowledge and attitudes toward Dengue (over 80–90%); however, preventive practices remained limited, with only 31% of households free from larvae and Aedes aegypti mosquitoes. No significant association was observed between knowledge, attitudes, and practices, highlighting the need for more comprehensive and sustainable community-based interventions. The study concluded that although residents had adequate knowledge and appropriate attitudes toward dengue prevention, correct practices were still limited. Therefore, it is essential to adjust the health communication system and reinforce community surveillance to achieve balanced improvements in knowledge, attitudes, and practices.
Caffeine consumption and health impacts among Nursing Students at Nguyen Tat Thanh University
Caffeine consumption is common among university students and is often used to maintain alertness under academic pressure. Nursing students are particularly vulnerable because of intensive coursework and clinical training demands. This cross-sectional study aimed to describe caffeine consumption patterns and examine self-reported health effects among nursing students at Nguyen Tat Thanh University. A total of 129 nursing students were selected using stratified sampling. Data were collected through a structured questionnaire and analyzed using descriptive statistics and multinomial logistic regression. The findings showed that coffee was the most commonly consumed caffeinated beverage, reported by 70% of participants. The most frequent self-reported symptoms after caffeine consumption were sleep disturbance (40%), palpitations (29.5%), and headaches (27.1%). Gender and academic year were not statistically significant predictors of caffeine consumption patterns. Students with part-time jobs showed a tendency toward higher caffeine dosage, although this association did not reach statistical significance (p = 0.095). Higher intake per consumption instance was associated with greater self-perceived caffeine dependence, particularly among students consuming three units compared with one unit (p = 0.031). These findings indicate that caffeine use is prevalent among nursing students and is associated with adverse health symptoms. Health education programs focusing on safe caffeine intake, sleep hygiene, and stress management are recommended to support student well-being.
Development of a pilot-scale MBBR–MBR wastewater treatment system as an experiential learning platform for environmental engineering education
Experiential learning has become an important approach in engineering education for bridging the gap between theoretical knowledge and real world applications. This study presents the development and educational evaluation of a pilot-scale wastewater treatment learning platform based on an integrated Moving Bed Biofilm Reactor Membrane Bioreactor (MBBR–MBR) system implemented at Thu Dau Mot University, Vietnam. The system was designed as a technology supported learning environment that allows environmental engineering students to observe, operate, and analyze modern biological wastewater treatment processes in a controlled laboratory setting. The experimental system consists of several treatment units, including an equalization tank, an anoxic reactor, an MBBR aeration reactor, a membrane bioreactor unit, and a disinfection stage. In addition to evaluating the technical performance of the treatment system, the study assessed its educational effectiveness through student participation in system operation, environmental monitoring, and laboratory analysis. The treatment system demonstrated stable performance with high removal efficiencies for key pollutants, including 95.35% for COD, 95.41% for BOD₅, and 95.21% for total suspended solids. Survey results indicated that the majority of participating students reported improved understanding of biological wastewater treatment processes, enhanced laboratory skills, and increased engagement with course content. The findings suggest that integrating pilot-scale environmental technologies into university laboratories can significantly support experiential learning and improve student competencies in environmental engineering education. This study contributes to the development of technology-enhanced learning environments that combine engineering practice with educational innovation.
Enhanced light extraction in flexible organic light-emitting diodes using recessed anode structures on pet substrates
This study investigates the enhancement of light extraction efficiency in organic light-emitting diodes (OLEDs) through the use of recessed indium tin oxide (ITO) anode structures, with a comparative focus on glass and flexible polyethylene terephthalate (PET) substrates. The recessed anode structures were fabricated using photolithography and chemical etching, creating micro-scale recesses designed to reduce wave-guided mode trapping and enhance light scattering. The results showed a significant increase in current efficiency, particularly in OLEDs fabricated on PET substrates, where an improvement of up to 92.6% was observed. This enhancement is attributed to the higher refractive index and lower haze of PET, which, when combined with recessed anodes, results in more efficient light extraction compared to traditional glass substrates. The study also revealed that recessed ITO/PET OLEDs exhibited a more uniform angular distribution of emitted light, making them particularly suitable for flexible display and lighting applications. Atomic force microscopy (AFM) confirmed that the recessed structures were well-defined, with smooth edges and uniform depth, ensuring consistent device performance across large areas. These findings suggest that PET, coupled with advanced light management techniques such as recessed anodes, is a highly promising substrate material for the development of high-efficiency, flexible OLEDs. The insights gained from this research provide a strong foundation for further optimization of light extraction strategies in next-generation OLED technologies
Application of cold gas dynamic spray technology to enhance the corrosion resistance of metal structures in mining machinery
This paper presents the results of an experimental study on the application of cold gas dynamic spraying (CGDS) technology to enhance the corrosion resistance of steel specimens coated with anti corrosion compounds in a 3.4 % sodium chloride solution. The experimental results determined that cermet coatings based on Zn+Al₂O₃ and Al+Zn+Al₂O₃ composite materials significantly increase the corrosion resistance of steel welded joints as well as monolithic steel specimens in seawater. The experimental findings demonstrated the feasibility of applying cold gas dynamic spraying technology to protect components of mineral mining equipment from corrosion during operation under humid tropical climate conditions and high ambient temperatures, as well as in offshore mining of solid mineral deposits. The research results can be applied to the design of mining machinery for the extraction of solid mineral resources from the ocean floor, because corrosion protection of the main working components of such equipment allows a substantial increase in service life and a reduction in maintenance and repair costs for mining machinery.