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Circular Economy and Sustainability : Volume 2: Environmental Engineering / Alexandros STEFANAKIS / ELSEVIER SCIENCE (2021)
Titre : Circular Economy and Sustainability : Volume 2: Environmental Engineering Type de document : e-book Auteurs : Alexandros STEFANAKIS Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128216644 Note générale : copyrighted Langues : Anglais (eng) Résumé : The concept of circular economy is based on strategies, practices, policies, and technologies to achieve principles related to reusing, recycling, redesigning, repurposing, remanufacturing, refurbishing, and recovering water, waste materials, and nutrients to preserve natural resources. It provides the necessary conditions to encourage economic and social actors to adopt strategies toward sustainability. However, the increasing complexity of sustainability aspects means that traditional engineering and management/economics alone cannot face the new challenes and reach the appropriate solutions. Thus, this book highlights the role of engineering and management in building a sustainable society by developing a circular economy that establishes and protects strong social and cultural structures based on cross-disciplinary knowledge and diverse skills. It includes theoretical justification, research studies, and case studies to provide researchers, practitioners, professionals, and policymakers the appropriate context to work together in promoting sustainability and circular economy thinking. Volume 1, Circular Economy and Sustainability: Management and Policy, discusses the content of circular economy principles and how they can be realized in the fields of economy, management, and policy. It gives an outline of the current status and perception of circular economy at the micro-, meso-, and macro-levels to provide a better understanding of its role to achieve sustainability. Volume 2, Circular Economy and Sustainability: Environmental Engineering, presents various technological and developmental tolls that emphasize the implementation of these principles in practice (micro-level). It demonstrates the necessity to establish a fundamental connection between sustainable engineering and circular economy. Presents a novel approach linking circular economy concept to environmental engineering and management to promote sustainability goals in modern societies Approaches the topic of production and consumption at both the micro- and macro-levels, integrating principles with practice Offers a range of theoretical and foundational knowledge in addition to case studies that demonstrate the potential impact of circular economy principles on economic and societal progress Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930449 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549820 Cognitive Big Data Intelligence with a Metaheuristic Approach / Sushruta MISHRA / ELSEVIER SCIENCE (2021)
Titre : Cognitive Big Data Intelligence with a Metaheuristic Approach Type de document : e-book Auteurs : Sushruta MISHRA Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780323851176 Note générale : copyrighted Langues : Anglais (eng) Résumé : Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks. Provides a unique opportunity to present the work on the state-of-the-art of metaheuristics approach in the area of big data processing developing automated and intelligent models Explains different, feasible applications and case studies where cognitive computing can be successfully implemented in big data analytics using metaheuristics algorithms Provides a snapshot of the latest advances in the contribution of metaheuristics frameworks in cognitive big data applications to solve optimization problems Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930512 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=550009 COVID-19: Tackling Global Pandemics through Scientific and Social Tools / S. CHATTERJEE / ELSEVIER SCIENCE (2021)
Titre : COVID-19: Tackling Global Pandemics through Scientific and Social Tools Type de document : e-book Auteurs : S. CHATTERJEE Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780323858441 Note générale : copyrighted Langues : Anglais (eng) Résumé : Coronavirus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2. It was first identified in December 2019 in Wuhan, Hubei, China, and has resulted in an ongoing pandemic. As of July 2020, more than 13.8 million cases have been reported across 188 countries and territories, resulting in more than 590,000 deaths. COVID 19: Tackling Global Pandemics through Scientific and Social Tools, is an amalgamation of scientific and social perspective. The book provides a selection of handpicked themes and topics relevant to COVID 19 pandemic across various disciplines delivered by experts in the domain. The Opinion section is a unique component of this book discussing important issues concerning the COVID 19. COVID 19: Tackling Global Pandemics through Scientific and Social Tools serves as single source of information ranging from clinical research to social science and even biotechnology to engineering in a single platform. But there is scarcity of a quality document that summarizes various aspects of a single event. Therefore, the purpose of this book is to provide scientific and social information on COVID 19 to all sectors of readers i.e. from students to researchers and even policy makers Divided into 13 chapters, the book begins with an in-depth introduction to the highly infectious disease COVID19. Followed by chapters on interventions, vaccine development, prevention and control COVID 19: Tackling Global Pandemics through Scientific and Social Tools also provides insights to current global situation, mathematical models and social factors like distancing and hand-washing. The book closes with a review on the use of artificial intelligence and engineered intervention. All are presented in a practical short format, making this volume a valuable resource for very broad academic audience. Includes updates and guidelines of WHO Serves as a single platform of information and contributions on COVID-19, from the epidemiological aspects to the biotechnology Provides directions and constructive criticism in the form of opinion by experts in the field Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930412 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=553663
Titre : Dark Personalities in the Workplace Type de document : e-book Auteurs : Cynthia MATHIEU Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128158272 Note générale : copyrighted Langues : Anglais (eng) Résumé : Dark Personalities in the Workplace defines dark personalities, their prevalence in the workplace, and how they are best managed. The book brings together research in psychology and business to both profile these employees and impart best practices for businesses to manage them. Chapters explore narcissism, Machiavellianism, and psychopathy in a work context. Coverage includes common behaviors such as incivility, negative attitudes, counterproductive behavior and escalating to harassment, bullying, violence, and fraud. Practical advice is given on how to avoid hiring dark personalities, avoid promoting dark personalities, and how to perform investigations and interventions with dark personalities. With a background in forensic psychology and industrial/organizational psychology, Cynthia Mathieu provides a researched understanding to these personalities, case studies to better understand them, and practical tools and applied solutions for dealing with them. Integrates psychology and business literature on dark personalities Identifies common personality features and behaviors Suggests HR protocols to avoid hiring dark personalities Addresses how to manage and review performance for dark personalities Explores the importance of leadership and organizational culture Presents case studies and applied solutions Provides recommendations for investigations and interventions Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930535 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=553659
Titre : Data Science Applied to Sustainability Analysis Type de document : e-book Auteurs : Jennifer DUNN Editeur : ELSEVIER SCIENCE Année de publication : 2021 ISBN/ISSN/EAN : 9780128179765 Note générale : copyrighted Langues : Anglais (eng) Résumé : Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery Includes considerations sustainability analysts must evaluate when applying big data Features case studies illustrating the application of data science in sustainability analyses Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930555 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=553517 Data, Statistics, and Useful Numbers for Environmental Sustainability : Bringing the Numbers to Life / Benoit CUSHMAN-ROISIN / ELSEVIER SCIENCE (2021)PermalinkDriving Science Information Discovery in the Digital Age / Svetla BAYKOUCHEVA / ELSEVIER SCIENCE (2021)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkHighway Engineering : Planning, Design, and Operations Ed. 2 / Daniel J. FINDLEY / ELSEVIER SCIENCE (2021)PermalinkInnovation Dynamics and Policy in the Energy Sector : Building Global Energy Markets, Institutions, Public Policy, Technology and Culture on the Texan Innovation Example / Milton L. HOLLOWAY / ELSEVIER SCIENCE (2021)PermalinkPermalinkIntelligent Systems and Learning Data Analytics in Online Education / Santi CABALLÉ / ELSEVIER SCIENCE (2021)PermalinkIntroduction to Robust Estimation and Hypothesis Testing Ed. 5 / Rand R. WILCOX / ELSEVIER SCIENCE (2021)PermalinkIntroduction to Robust Estimation and Hypothesis Testing Ed. 5 / Rand R. WILCOX / ELSEVIER SCIENCE (2021)PermalinkPermalinkLibraries, Digital Information, and COVID : Practical Applications and Approaches to Challenge and Change / David BAKER / ELSEVIER SCIENCE (2021)PermalinkMachine Learning and Data Science in the Oil and Gas Industry : Best Practices, Tools, and Case Studies / Patrick BANGERT / ELSEVIER SCIENCE (2021)PermalinkMachine Learning Guide for Oil and Gas Using Python : A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications / Hoss BELYADI / ELSEVIER SCIENCE (2021)PermalinkPermalink
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