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Titlebook: Nexus of Sustainability; Understanding of FEW Anatoly Zagorodny,Viacheslav Bogdanov,Artur Zaporo Book 2024 The Editor(s) (if applicable) an

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發(fā)表于 2025-3-21 16:55:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Nexus of Sustainability
副標(biāo)題Understanding of FEW
編輯Anatoly Zagorodny,Viacheslav Bogdanov,Artur Zaporo
視頻videohttp://file.papertrans.cn/667/666284/666284.mp4
概述Presents ideas about risk management and its applications.Analyzes food, energy, water, and social management in the context of systemic risks and consequences of COVID-19.Is dedicated to the memory o
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Nexus of Sustainability; Understanding of FEW Anatoly Zagorodny,Viacheslav Bogdanov,Artur Zaporo Book 2024 The Editor(s) (if applicable) an
描述.The intricate interplay between food, energy, water, societal dynamics, and the environment constitutes the bedrock of contemporary global challenges. In recent decades, this convergence has emerged as a focal point for scientific inquiry, policy formulation, and societal discourse. This book seeks to meticulously unravel the complexities inherent in this nexus, shedding profound light on the interconnected risks, vulnerabilities, and transformative opportunities that define our quest for sustainability in the twenty-first century. The materials of this book were prepared mainly by authors working on the joint project between the International Institute for Applied Systems Analysis (IIASA) and the National Academy of Sciences (NAS) of Ukraine “Integrated robust modeling and management of food-energy-water-land use nexus for sustainable development”, and on the project “Comprehensive analysis of robust preventive and adaptive measures of food, energy, water, and social management in the context of systemic risks and consequences of COVID-19” (0122U000552) of the NAS of Ukraine. Members of the System Analysis Committee of the NAS of Ukraine were also involved in the preparation of b
出版日期Book 2024
關(guān)鍵詞NEXUS security; Energy System Optimization; World Transformation; Stochastic Models; Climate change; Sust
版次1
doihttps://doi.org/10.1007/978-3-031-66764-0
isbn_softcover978-3-031-66766-4
isbn_ebook978-3-031-66764-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Models of Group Decisions and Their Applications,rmation arise for at least several elements of the system. Examples of such systems are the Internet, national or international armed forces, transnational corporations or associations. Massive examples of decentralized cybernetic systems are provided by real systems consisting of a manager and a su
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Demand Forecasting Mathematical Models for Residential Electricity Consumption Considering Ambient fluence of ambient temperature. The research is contextualized within Ukraine‘s unique socio-economic and climatic conditions, highlighting the significance of tailored forecasting models. The methodology encompasses a comprehensive review of various forecasting approaches, ranging from traditional
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World Transformation After the COVID-19 Pandemic: The European Context,in the early twenty-first century: coronavirus SARS-CoV, Swine flu, Ebola and coronavirus COVID-19 (SARS-CoV-2) which occurred over the past 20?years. Their impact on the development of the world economy and global society was studied. The negative consequences of the impact of the COVID-19 pandemic
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Mathematical Modeling of COVID-19 Pandemic and Its Impact on Food Production, Supply Chains, and thasures to prevent an epidemic. The created model acknowledges the fact that immunity to the virus decreases over time for some individuals who have had COVID-19, and there is a possibility of reinfection. An approach to studying the interconnections of economic sectors related to the production of f
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Some Approaches of Using Stochastic Models of Epidemiology to the Problem of COVID-19,o unknown continuous functions of time. The methodology for constructing an epidemic dynamics model is based on taking into account the delayed influence of some variables on others in the form of distributed lag models. The construction of such models is based on the dual nature of non-negative int
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