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1. |
Record Nr. |
UNINA990008300950403321 |
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Titolo |
Etiopia, Eritrea, Somalia : (tav. n. 116-117) / a cura Umberto Ademello |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Collana |
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Fascicoli di commento all'Atlante Internazionale del TCI ; 46 |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910818681003321 |
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Titolo |
Adapting institutions : governance, complexity, and social-ecological resilience / / edited by Emily Boyd, Carl Folke [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2011 |
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ISBN |
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1-107-22629-5 |
1-139-15252-1 |
1-283-34218-9 |
9786613342188 |
1-139-15994-1 |
1-139-16094-X |
1-139-15538-5 |
1-139-15713-2 |
1-139-15889-9 |
1-139-01723-3 |
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Descrizione fisica |
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1 online resource (xxii, 290 pages) : digital, PDF file(s) |
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Classificazione |
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Disciplina |
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Soggetti |
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Environmental management - Social aspects |
Ecosystem management - Social aspects |
Sustainable development |
Environmental policy |
Globalization - Environmental aspects |
Global governance |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Machine generated contents note: List of figures; List of contributors; Foreword; Acknowledgements; List of acronyms and abbreviations; 1. Adapting institutions, governance and complexity: an introduction Emily Boyd and Carl Folke; Part I. Adapting Local Institutions, Networks, Leadership and Learning: 2. Knowledge, social networks, and leadership - setting the stage for the development of adaptive institutions? Beatrice Crona and Örjan Bodin; 3. Adaptive capacity of local institutions - the case of taboo forests in southern Madagascar Maria Tengö and Jacob von Heland; 4. The reality of adaptive management: tracing farmers' responses to disturbances in irrigation systems in Nepal Ingela Ternström; 5. Creating incentives for increased public engagement in ecosystem management through urban commons Johan Colding; Part II. Adapting and Governing Public Institutions for Uncertainty and Complexity: 6. Adaptive capacity and the ecostate Andreas Duit; 7. Food systems and adaptive governance: the case of the 2005 food crisis in Niger Sirkku Juhola; 8. Public-private partnerships in the provision of environmental governance: a case of disaster management Emma L. Tompkins and Lisa-Ann Hurlston; Part III. Adapting Multilevel Institutions to Environmental Crisis: 9. Double complexity - information technology and reconfigurations in adaptive governance Victor Galaz; 10. Adaptive governance and natural hazards: the 2004 Indian Ocean tsunami and the governance of coastal ecosystems in Sri Lanka Alison Ashlin; 11. Adapting to global climate change: evaluating resilience in two networked policy institutions Emily Boyd; 12. Conclusions: adapting institutions and resilience Emily Boyd and Carl Folke; Index. |
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Sommario/riassunto |
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Global environmental change is occurring at a rate faster than humans have ever experienced. Climate change and the loss of ecosystem services are the two main global environmental crises facing us today. As a result, there is a need for better understanding of the specific and general resilience of networked ecosystems, cities, organisations and institutions to cope with change. In this book, an international team of experts provide cutting-edge insights into building the resilience and adaptive governance of complex social-ecological systems. Through a set of case studies, it focuses on the social science dimension of ecosystem management in the context of global change, in a move to bridge existing gaps between resilience, sustainability and social science. Using empirical examples ranging from local to global levels, views from a variety of disciplines are integrated to provide an essential resource for scholars, policy-makers and students, seeking innovative approaches to governance. |
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3. |
Record Nr. |
UNINA9910492152303321 |
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Titolo |
Advances in Artificial Intelligence, Computation, and Data Science : For Medicine and Life Science / / edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (373 pages) |
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Collana |
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Computational Biology, , 2662-2432 ; ; 31 |
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Disciplina |
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Soggetti |
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Bioinformatics |
Artificial intelligence |
Artificial intelligence - Data processing |
Computer science |
Biomathematics |
Image processing - Digital techniques |
Computer vision |
Computational and Systems Biology |
Artificial Intelligence |
Data Science |
Theory of Computation |
Mathematical and Computational Biology |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part I: Review of Recent Developments in AI, Computational Models for Complex Data Analysis, and Data Science -- 1. Recent Developments in AI -- 2. Recent Developments in Computational Models for Data Analysis -- 3. Recent Developments in Data Science -- Part II: Applications in Medicine and Physiology -- 4. Cancer -- 5. Neuroscience -- 6. Cardiology -- 7. Critical Care -- 8. Health Care -- 9. Digital Pathology -- Part III: Applications in Life Science -- 10. Systems Biology -- 11. Cell Biology -- 12. Biochemistry -- 13. Chemo- |
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metrics -- 14. Food Technology. |
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Sommario/riassunto |
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Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education. Tuan D. Pham is professor and founding director of the Center for Artificial Intelligence at Prince Mohammad Bin Fahd University, Saudi Arabia. Hong Yan is currently chair professor of computer engineering at City University of Hong Kong. Dr. Muhammad Waqar Ashraf is professor and dean of College of Sciences & Human Studies at Prince Mohammad Bin Fahd University. Folke Sjöberg is professor of burn surgery and critical care at Linköping University, Sweden, and director of the Burn Center at the Linköping University Hospital. |
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