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Record Nr. |
UNINA9910453913503321 |
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Titolo |
International humanitarian law and the changing technology of war [[electronic resource] /] / edited by Dan Saxon |
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Pubbl/distr/stampa |
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Leiden ; ; Boston, : Martinus Nijhoff Publishers, 2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (375 p.) |
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Collana |
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International humanitarian law series, , 1389-6776 ; ; volume 41 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Humanitarian law |
Military weapons |
Weapons systems |
Electronic books. |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preliminary Material / Professor Michael N. Schmitt -- Introduction International Humanitarian Law and the Changing Technology of War / Dan Saxon -- Chapter 1 Methodology of Law-Making: Customary International Law and New Military Technologies / Robert Heinsch -- Chapter 2 How Far Will the Law Allow Unmanned Targeting to Go? / Bill Boothby -- Chapter 3 The Illegality of Offensive Lethal Autonomy / David Akerson -- Chapter 4 Autonomy in the Battlespace: Independently Operating Weapon Systems and the Law of Armed Conflict / Markus Wagner -- Chapter 5 The Use of Autonomous Weapons and the Role of the Legal Advisor / Lieutenant-Colonel Alexander Bolt -- Chapter 6 Great Resources Mean Great Responsibility: A Framework of Analysis for Assessing Compliance with API Obligations in the Information Age / Kimberly Trapp -- Chapter 7 Maximising Compliance with IHL and the Utility of Data in an Age of Unlimited Information: Operational Issues / Darren Stewart -- Chapter 8 The Application of Superior Responsibility in an Era of Unlimited Information / Charles Garraway -- Chapter 9 Cyber War and the Concept of ‘Attack’ in International Humanitarian Law / David Turns -- Chapter 10 Proportionality and Precautions in Cyber Attacks / Michael A Newton -- Chapter 11 Participants in Conflict – Cyber Warriors, Patriotic Hackers and the Laws of War / Heather Harrison Dinniss -- |
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Chapter 12 New Weapons: Legal and Policy Issues Associated with Weapons Described as ‘Non-lethal’ / Neil Davison -- Chapter 13 The Path to Less Lethal and Destructive War? Technological and Doctrinal Developments and International Humanitarian Law after Iraq and Afghanistan / David P. Fidler -- Conclusions International Humanitarian Law and the Challenges of the Changing Technology of War / Dan Saxon -- Acknowledgments / Dan Saxon -- Index / Dan Saxon. |
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Sommario/riassunto |
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Increasingly, war is and will be fought by machines – and virtual networks linking machines - which, to varying degrees, are controlled by humans. This book explores the legal challenges for armed forces resulting from the development and use of new military technologies – automated and autonomous weapon systems, cyber weapons, “non-lethal” weapons and advanced communications - for the conduct of warfare. The contributions, each written by scholars and military officers with expertise in International Humanitarian Law (IHL), provide analysis and recommendations for armed forces as to how these new technologies may be used in accordance with international law. Moreover, the chapters provide suggestions for military doctrine to ensure continued compliance with IHL during this ever-more-rapid evolution of technology. |
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2. |
Record Nr. |
UNINA9910583371103321 |
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Titolo |
Leveraging biomedical and healthcare data : semantics, analytics and knowledge / / edited by Firas Kobeissy [and three others] |
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Pubbl/distr/stampa |
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London : , : Academic Press, an imprint of Elsevier, , [2019] |
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©2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (228 pages) |
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Disciplina |
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Soggetti |
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Nervous system - Degeneration |
Protein-protein interactions |
Medical care - Data processing |
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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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Chapter 1: Comprehensive Workflow for Integrative Transcriptomics Meta-Analysis -- Chapter 2: Proteomics and Protein Interaction in Molecular Cell Signaling Pathways -- Chapter 3: Understanding Specialized Ribosomal Protein Functions and Associated Ribosomopathies by Navigating Across Sequence, Literature, and Phenotype Information Resources -- Chapter 4: Big Data, Artificial Intelligence, and Machine Learning in Neurotrauma -- Chapter 5: Artificial Intelligence Integration for Neurodegenerative Disorders -- Chapter 6: Robust Detection of Epilepsy Using Weighted-Permutation Entropy: Methods and Analysis -- Chapter 7. Biological knowledge graph construction, search, and navigation -- Chapter 8. Healthcare decision-making support based on the application of big data to electronic medical records: a knowledge management cycle -- Chapter 9. Computational modeling in global infectious disease epidemiology -- Chapter 10. Semiautomatic annotator for medical NLP applications: about the tool -- Chapter 11. Intractome curation and analysis for stroke and spinal cord injury using semiautomatic annotations -- Chapter 12. Deep genomics and proteomics: language model-based embedding of biological sequences and their applications in bioinformatics -- Chapter 13. In silico transcription factor discovery via bioinformatics approach: application on iPSC reprogramming resistant |
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Sommario/riassunto |
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Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book discusses big data text-based mining to better understand the molecular architecture of diseases and to guide health care decision. It will be a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in understanding more about how to process and apply great amounts of data to improve their research. |
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