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Modeling and Simulation in Engineering, 3rd Edition
No full text164 p.The Special Issue, Modeling and Simulation in Engineering, belonging to the section Control Theory and Mechanics of the Journal Mathematics, publishes original research papers involving advanced simulation and modeling techniques.
The present reprint, “Modeling and Simulation in Engineering, 3rd Edition” contains 8 papers accepted after peer review by recognized specialists in the field. The papers address different topics in engineering that use modeling and optimization as well as experimental and numerical methods based on state-of-the art devices and software. The subjects of the papers address technical problems such as error mitigation in ultra-wide-band range measurements, trajectory control of differential drive mobile robots, motion controllers for the trajectory of mobile robots, propellant distribution optimization in space exploration missions, modeling trafic flow as a tool for vehicle adaptive cruise control systems, monitoring vehicle convoys using a drone-based platooning system, communication and navigation systems for Earth-Moon communication and rover movement on the Moon’s surface and solving optimal control problems using a new state parametrization method.
We hope that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modeling and simulation in mathematical physics and in engineering
Using English sitcoms to promote students’ vocabulary learning: a study at Nguyen Tat Thanh University
No full text9 p.This study investigated the effectiveness of English sitcoms in enhancing vocabulary learning among 220 non-English-major B1-level students at Nguyen Tat Thanh University. Using a mixed-methods approach—pre/post-tests, questionnaires, classroom observations, and semi-structured interviews—the results showed significant vocabulary improvement in the experimental group (mean score 74.2) compared to the control group (63.1). Students expressed positive attitudes toward sitcom use, and interviews revealed teachers’ insights and noted certain limitations. The findings suggest that sitcoms, when thoughtfully integrated, are effective and engaging tools for vocabulary instruction
Vocational Education, Skill Formation, and Social Development
No full text184 p.Vocational education and training (VET) systems are increasingly recognized not only as pathways to employment but also as critical mechanisms for fostering lifelong learning, personal development, and social cohesion. Research in this field spans diverse topics, including the integration of soft skills into educational programs, the challenges and opportunities of work-place learning, and the inclusive practices that are required for equitable education. While advancements in pedagogy and technology have enhanced the potential of VET, challenges remain in aligning training with dynamic labor market needs, ensuring access and equity, and supporting the holistic development of learners. These issues are especially pertinent in a rapidly changing world in which skills must be adaptable and education systems responsive. This reprint collects a range of interdisciplinary studies that contribute to a deeper understanding of vocational education’s role in social development. The contributions cover innovative curriculum design, teachers’ perceptions of inclusion, institutional and policy-level analyses, and strategies for embedding employability and equity within educational frameworks
Agricultural Economic Transformation and Sustainable Development
Full text link328 p.This Special Issue collates a selection of cutting-edge research articles and reviews that assess critical aspects of sustainability in diverse domains. The contributions address topics such as environmental preservation, energy efficiency, sustainable urban development, and innovative solutions to mitigating climate change. Each study emphasizes the interconnectedness of economic, social, and environmental dimensions, showcasing interdisciplinary approaches and practical insights to foster sustainable practices. The manuscripts presented in this reprint are crucial for policymakers, researchers, and practitioners seeking to promote sustainable development, reduce environmental impacts, and enhance societal well-being. This compilation serves as a comprehensive reference for advancing sustainability in both theory and practice
Marine Anti-Inflammatory and Antioxidant Agents, 4th Edition
No full text246 p.Inflammation is a natural biological response to harmful stimuli like pathogens, injuries, or environmental stressors. However, when this response becomes chronic—often due to modern lifestyle factors like poor diet—it can lead to "lifestyle diseases". A wide range of chronic conditions, including cardiovascular diseases, cancer, diabetes, chronic kidney disease, non-alcoholic fatty liver disease, neurodegenerative, and autoimmune diseases, are now linked to inflammation. These conditions often involve oxidative stress, a harmful state caused by an imbalance between reactive oxygen and nitrogen species (ROS and RNS) and the body’s antioxidant defenses. Oxidative stress can further drive inflammation, creating a damaging cycle.
The rising prevalence of chronic inflammatory disease has sparked interest in natural compounds with both antioxidant and anti-inflammatory effects. Marine organisms have emerged as a promising source of such bioactive compounds. From marine plants, algae, and fish to invertebrates like sea cucumbers, sponges, and soft corals and microorganisms such as fungi, microalgae, and archaea, these ocean lifeforms produce a wide array of therapeutic compounds. Given the growing scientific and therapeutic interest in marine bioactive compounds, we are pleased to launch the fourth edition of the Special Issue “Marine Anti-Inflammatory and Antioxidant Agents.
Báo cáo tổng kết đề tài chương trình sinh viên NCKH năm 2025 - Đề tài: Trung tâm Du lịch Văn hoá cộng đồng làng nghề Thừa Thiên Huế
No full text40 tr
Metaheuristic Algorithms in Optimal Design of Engineering Problems
Full text link238 p.Metaheuristic algorithms are advanced optimization methods widely used to solve complex engineering design problems. They operate by iteratively searching the solution space, employing strategies inspired by natural or physical processes to balance exploration and exploitation. Common examples include genetic algorithms, particle swarm optimization, simulated annealing, and ant colony optimization. These algorithms are effective for large-scale, nonlinear, and non-convex problems, making them valuable in fields such as mechanical, civil, electrical, and aerospace engineering. Metaheuristics can efficiently find near-optimal solutions where traditional methods may fail or become computationally expensive. Their performance depends on factors like initial solution quality, algorithm selection, and parameter tuning. By integrating metaheuristics with domain-specific knowledge, engineers can optimize system designs to meet performance, cost, and operational constraints. As research progresses, metaheuristic algorithms continue to expand their applicability and effectiveness in solving real-world engineering challenges
Báo cáo tổng kết đề tài Chương trình sinh viên NCKH năm 2025: Trung tâm Nghiên cứu và Triển lãm Hoa Đà Lạt
No full text36 tr
How to pronounce -ED in past tense verbs
No full text3m 55sIn this video, you will practice the correct pronunciation of -ED in past tense verbs
Quantum Probability and Randomness
Full text link276 p.The last few years have been characterized by a tremendous development of quantum information and probability and their applications, including quantum computing, quantum cryptography, and quantum random generators. In spite of the successful development of quantum technology, its foundational basis is still not concrete and contains a few sandy and shaky slices. Quantum random generators are one of the most promising outputs of the recent quantum information revolution. Therefore, it is very important to reconsider the foundational basis of this project, starting with the notion of irreducible quantum randomness. Quantum probabilities present a powerful tool to model uncertainty. Interpretations of quantum probability and foundational meaning of its basic tools, starting with the Born rule, are among the topics which will be covered by this issue. Recently, quantum probability has started to play an important role in a few areas of research outside quantum physics—in particular, quantum probabilistic treatment of problems of theory of decision making under uncertainty. Such studies are also among the topics of this issue