Cổng Tài nguyên Giáo dục Mở - NTTU (Nguyen Tat Thanh University)
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Khảo sát hoạt tính kháng viêm của rễ Hà thủ ô trắng (Streptocaulon juventas (Lour.) Merr., Apocynaceae) thu hái tại An Giang
No full text8 tr.Nghiên cứu rễ Hà thủ ô trắng (Streptocaulon juventas, họ Apocynaceae) thu tại An Giang nhằm phân tích thành phần hóa học và đánh giá tác dụng kháng viêm. Từ 10 kg rễ khô, thu được 5 phân đoạn chiết, trong đó phân đoạn chloroform có hoạt tính kháng viêm mạnh nhất (IC₅₀ = 32,83 µg/mL) trên mô hình ức chế NO ở tế bào RAW 264.7. Ba hợp chất tinh khiết (lupeol acetat, acovenosigenin A, periplocymarin) được phân lập nhưng hoạt tính ức chế NO thấp (< 50%). Kết quả cung cấp dữ liệu khoa học về thành phần hóa học và tiềm năng kháng viêm của dược liệu này
Towards a Metropolitan Public Space Network: Lessons, Projects and Prospects from Lisbon
No full text308 p.This book explores the hypothesis that public space – if conceptualised, imagined, and shaped at the metropolitan scale, through innovative territorial design approaches – offers the possibility to interconnect and integrate various systems in search for synergic responses to emerging societal challenges that impact large, urbanised landscapes
Advances in Molecular Biology Methods in Hepatology Research
No full text218 p.Recent advances in molecular biology methods have profound implications for deciphering the complexities of hepatology research, specifically in understanding liver function, disease development, and novel therapies. The integration of genomic and proteomic technologies such as Next-Generation Sequencing (NGS), single-cell sequencing, CRISPR-Cas9, sensitive mass spectrometry, high-throughput proteomics, and epigenetic studies allow for a more comprehensive analysis of the liver's genomic landscape. These technologies enable scientists to understand the molecular pathways involved in liver injury, fibrosis, and regeneration. In addition to advances in genomic techniques, the development of advanced hepatic in vivo models and liver tissue engineering, utilizing technologies such as CRISPR-Cas9, places a clear emphasis on creating humanized organoid models. These molecular innovations, like hepatic organoids, are scalable for high-throughput screening and can replicate complex cellular interactions, providing further insights into the mechanisms underlying liver diseases such as metabolic dysfunction-associated steatotic liver disease (MASLD), hepatitis, and liver fibrosis. By creating patient-derived organoids, researchers can personalize disease models and uncover individualized disease mechanisms and precision therapeutics. Overall, these advancements in molecular biology have propelled hepatology research to the next level, offering additional opportunities for efficient diagnosis, treatment, and prevention strategies for hepatic diseases
Virtual Reality and Metaverse: Impact on the Digital Transformation of Society Ii
No full text250 p.Virtual reality, augmented reality, and the metaverse are no longer futuristic concepts—they are reshaping how society works, learns, and interacts.
This Reprint compiles peer-reviewed studies exploring how diverse sectors such as healthcare, education, industry, and tourism are adapting to these immersive technologies. It offers a concise yet comprehensive view of the opportunities, challenges, and ethical considerations surrounding the digital transformation of society.
This Reprint constitutes a significant resource for researchers, professionals, and curious minds interested in the future of human–technology interaction
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
Big Data and Artificial Intelligence: Volume II
No full text562 p.The Topic “Big Data and Artificial Intelligence” explores the transformative impact of AI and Big Data across diverse domains, highlighting their role as catalysts for innovation, decision-making, and business model evolution. This reprint presents cutting-edge research, covering the full spectrum of AI and Big Data applications, from theoretical foundations to real-world implementations. Key topics include enabling technologies such as machine learning, neural networks, natural language processing, AI agents, analytics, and distributed computing. Methodological advancements, strategic frameworks, and models are examined, addressing areas such as sustainable development, industry innovation, ethical considerations, and social impact. Additionally, the collection showcases best practices, R&D project outcomes, and industry–government collaborations, offering valuable insights into the latest developments in AI-driven decision-making and data ecosystems. Edited by Prof. Miltiadis D. Lytras and Prof. Andreea Claudia Serban, this reprint compiles high-quality contributions from leading researchers and practitioners, providing a comprehensive resource for academics, industry experts, and policymakers interested in the evolving landscape of artificial intelligence and Big Data. The participating journals include Big Data and Cognitive Computing, Future Internet, Information, Remote Sensing, and Sustainability
Giới thiệu ứng dụng AWorld
No full textVideo giới thiệu về ứng dụng AWorld là nền tảng chính thức của Liên hợp quốc, trong chiên dịch Act Now, nhằm truyền cảm hứng cho mọi người hành động hướng tới các Mục tiêu Phát triển Bền vững. Hoạt động trong không gian số, ứng dụng Aworld giúp mọi người hình thành và tạo thói quen lối sống bền vững
Microbiology, Pharmacology, and Immunology for Pre-Clinical Students
No full text544 p.Microbiology, Pharmacology, and Immunology for Pre-Clinical Students is a peer-reviewed open textbook designed to fill a gap in undergraduate medical education (UME) and support medical school pre-clerkship education. It covers the areas of immunology, microbiology, systems-based infections, and global mechanisms of treatment. It is aligned to USMLE(r) (United States Medical Licensing Examination) and modified from OpenStax Microbiology
Industrial Clusters, Agglomeration and Economic Development
No full text194 p.Countries currently face the challenge of exploring how companies can drive innovation during the Fourth Industrial Revolution. The COVID-19 pandemic has demonstrated that all countries across the globe require a "digital" economy as well as a "green" economy. Clusters, or agglomerations, are one of the most effective regional growth strategies for overcoming the current challenges. Its analysis can be performed from various angles, including organizational management, spatial economics, and sequencing economics. First, spatial economics can be used to drive location conditions in economic decision making. Second, sequencing economics provides an architectural theory of agglomeration. It analyzes the dynamic processes that construct segments of agglomerations efficiently and discusses how segments of agglomerations are sequenced for their efficient construction. Third, geographic management theory attempts to identify the factors that contribute to the competitive advantage of a region. Other approaches to clusters and economic development are welcome