Disentangled

Disentangled PDF Author: Robert L. France
Publisher: BRILL
ISBN: 908686886X
Category : History
Languages : en
Pages : 289

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Book Description
The Definitive Study and Solution to the Centuries-old Mystery of the World's Most Sighted Sea Serpent There is a long history of conflating sightings of unidentified marine objects (UMOs) as purported sea serpents. Most sightings are either of an extremely brief duration or made by a single observer, and thus often easy to dismiss. This is not the case, however, with respect to the so-called Gloucester Sea Serpent which frequented the Massachusetts and New York coasts during the early nineteenth century. Witnessed by hundreds of people for extended periods repeatedly over many days, the Gloucester UMO is the most sighted 'sea serpent' in history. As well, due to being the object of study at the time and shortly thereafter by naturalists, the mysterious creature remains the most thoroughly investigated of all putative sea serpents. For these reasons, it has achieved an exalted status among cryptozoologists who maintain it represents the best evidence for the existence of sea serpents. For the first time, an eminently qualified aquatic biologist and ethnozoologist presents the definitive history of the phenomena and carefully examines the evidence. It is concluded that the most parsimonious explanation behind the Gloucester Sea Serpent is as early evidence for what is today recognized as being one of the most serious threats to marine biodiversity: entanglement in fishing gear and other maritime debris. Therefore, although widely considered to be restricted to the advent and widespread use of non-degradable plastic in the middle of the twentieth century, this new interpretation of the Gloucester UMO suggests that entanglement has a much longer environmental history than is commonly believed. Robert L. France is a world-renowned scientist at Dalhousie University and the author or editor of twenty books and two hundred papers on a wide range of environmental subjects. He has undertaken conservation biology research from the High Arctic to the tropics, on organisms from bacteria to whales, which has been cited many thousands of times in the literature. Dr. France is a leading authority on many aspects of aquatic zoology, including marine ecology and ethnozoology, and may be the most qualified person to have recently undertaken research and published peer-reviewed articles on the beguiling and befuddling topic of aquatic mystery animals, known as 'cryptids'.

Disentangled

Disentangled PDF Author: Robert L. France
Publisher: BRILL
ISBN: 908686886X
Category : History
Languages : en
Pages : 289

Get Book Here

Book Description
The Definitive Study and Solution to the Centuries-old Mystery of the World's Most Sighted Sea Serpent There is a long history of conflating sightings of unidentified marine objects (UMOs) as purported sea serpents. Most sightings are either of an extremely brief duration or made by a single observer, and thus often easy to dismiss. This is not the case, however, with respect to the so-called Gloucester Sea Serpent which frequented the Massachusetts and New York coasts during the early nineteenth century. Witnessed by hundreds of people for extended periods repeatedly over many days, the Gloucester UMO is the most sighted 'sea serpent' in history. As well, due to being the object of study at the time and shortly thereafter by naturalists, the mysterious creature remains the most thoroughly investigated of all putative sea serpents. For these reasons, it has achieved an exalted status among cryptozoologists who maintain it represents the best evidence for the existence of sea serpents. For the first time, an eminently qualified aquatic biologist and ethnozoologist presents the definitive history of the phenomena and carefully examines the evidence. It is concluded that the most parsimonious explanation behind the Gloucester Sea Serpent is as early evidence for what is today recognized as being one of the most serious threats to marine biodiversity: entanglement in fishing gear and other maritime debris. Therefore, although widely considered to be restricted to the advent and widespread use of non-degradable plastic in the middle of the twentieth century, this new interpretation of the Gloucester UMO suggests that entanglement has a much longer environmental history than is commonly believed. Robert L. France is a world-renowned scientist at Dalhousie University and the author or editor of twenty books and two hundred papers on a wide range of environmental subjects. He has undertaken conservation biology research from the High Arctic to the tropics, on organisms from bacteria to whales, which has been cited many thousands of times in the literature. Dr. France is a leading authority on many aspects of aquatic zoology, including marine ecology and ethnozoology, and may be the most qualified person to have recently undertaken research and published peer-reviewed articles on the beguiling and befuddling topic of aquatic mystery animals, known as 'cryptids'.

Disentangle

Disentangle PDF Author: Nancy L. Johnston
Publisher: Central Recovery Press
ISBN: 1949481352
Category : Self-Help
Languages : en
Pages : 199

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Book Description
A revised edition of the best-selling solution-oriented guide to identifying and healing over-involvement or "entanglement" in relationships with other. Anyone who has struggled with balancing his or her own needs and desires with those of the “other” person will benefit from Nancy Johnston's sensible, easy-to-follow method for changing the course of one's relationships. Disentangle combines psychoeducation, personal anecdotes, clinical case vignettes, and skills-building exercises. Johnston describes how to turn this self-destructive cycle around with self-assessments and experiential exercises designed to address essential aspects of self-awareness, distortions in thinking, communication style and tools, and spirituality. “Disentangling” is the process of creating enough emotional space between oneself and another person in order to better see the realities of any relationship and make healthier conscious decisions about it.

Federalism, Democracy and Disability Policy in Canada

Federalism, Democracy and Disability Policy in Canada PDF Author: Alan H. Puttee
Publisher: IIGR, Queen's University
ISBN: 0889118558
Category : Medical policy
Languages : en
Pages : 179

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Book Description
The 1999 signing of the Social Union Framework Agreement, the elimination of government deficits, and an apparent trend to decentralisation have increased the focus on Canada's social policy and the manner of its formulation. While disability policy, a key element of social policy that is seldom high on the country's policy agenda, is sharing in the renewed interest, no significant disability policy changes have yet emerged.The Social Union and Disability Policy examines the development of Canadian disability policy and the current political landscape that will influence new policy. It offers an agenda for reform of the disability insurance system and for the provision of supports and services for people with disabilities. The focus is on the impact of governance structures, those now in place and those that might be expected to yield improved policy outcomes while promoting the principles of federalism and democratic oversight.Contributors to the volume are academics Michael Prince (University of Victoria), Roy Hanes (Carleton University) and Allan Moscovitch (Carleton University), NGO representative Michael Bach (Roeher Institute) and social policy analysts Marcia Rioux (York University) and Alan Puttee.

ECAI 2023

ECAI 2023 PDF Author: K. Gal
Publisher: IOS Press
ISBN: 164368437X
Category : Computers
Languages : en
Pages : 3328

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Book Description
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

Deep Learning Approaches for Security Threats in IoT Environments

Deep Learning Approaches for Security Threats in IoT Environments PDF Author: Mohamed Abdel-Basset
Publisher: John Wiley & Sons
ISBN: 1119884160
Category : Computers
Languages : en
Pages : 388

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Book Description
Deep Learning Approaches for Security Threats in IoT Environments An expert discussion of the application of deep learning methods in the IoT security environment In Deep Learning Approaches for Security Threats in IoT Environments, a team of distinguished cybersecurity educators deliver an insightful and robust exploration of how to approach and measure the security of Internet-of-Things (IoT) systems and networks. In this book, readers will examine critical concepts in artificial intelligence (AI) and IoT, and apply effective strategies to help secure and protect IoT networks. The authors discuss supervised, semi-supervised, and unsupervised deep learning techniques, as well as reinforcement and federated learning methods for privacy preservation. This book applies deep learning approaches to IoT networks and solves the security problems that professionals frequently encounter when working in the field of IoT, as well as providing ways in which smart devices can solve cybersecurity issues. Readers will also get access to a companion website with PowerPoint presentations, links to supporting videos, and additional resources. They’ll also find: A thorough introduction to artificial intelligence and the Internet of Things, including key concepts like deep learning, security, and privacy Comprehensive discussions of the architectures, protocols, and standards that form the foundation of deep learning for securing modern IoT systems and networks In-depth examinations of the architectural design of cloud, fog, and edge computing networks Fulsome presentations of the security requirements, threats, and countermeasures relevant to IoT networks Perfect for professionals working in the AI, cybersecurity, and IoT industries, Deep Learning Approaches for Security Threats in IoT Environments will also earn a place in the libraries of undergraduate and graduate students studying deep learning, cybersecurity, privacy preservation, and the security of IoT networks.

Computer Vision – ECCV 2022

Computer Vision – ECCV 2022 PDF Author: Shai Avidan
Publisher: Springer Nature
ISBN: 303119781X
Category : Computers
Languages : en
Pages : 807

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Book Description
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Neural Information Processing

Neural Information Processing PDF Author: Teddy Mantoro
Publisher: Springer Nature
ISBN: 3030921859
Category : Computers
Languages : en
Pages : 719

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Book Description
The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.

Information Processing in Medical Imaging

Information Processing in Medical Imaging PDF Author: Aasa Feragen
Publisher: Springer Nature
ISBN: 3030781917
Category : Computers
Languages : en
Pages : 784

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Book Description
This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which was held online during June 28-30, 2021. The conference was originally planned to take place in Bornholm, Denmark, but changed to a virtual format due to the COVID-19 pandemic. The 59 full papers presented in this volume were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows: registration; causal models and interpretability; generative modelling; shape; brain connectivity; representation learning; segmentation; sequential modelling; learning with few or low quality labels; uncertainty quantification and generative modelling; and deep learning.

Biomedical Image Synthesis and Simulation

Biomedical Image Synthesis and Simulation PDF Author: Ninon Burgos
Publisher: Academic Press
ISBN: 0128243503
Category : Computers
Languages : en
Pages : 676

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Book Description
Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future. - Gives state-of-the-art methods in (bio)medical image synthesis - Explains the principles (background) of image synthesis methods - Presents the main applications of biomedical image synthesis methods

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track PDF Author: Gianmarco De Francisci Morales
Publisher: Springer Nature
ISBN: 3031434277
Category :
Languages : en
Pages : 745

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Book Description