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Talk of a demographic time bomb is not new. The notion first entered public consciousness some time ago, but there is a lack of clarity about what such talk is really all about. Ageing populations are seen both as a threat and an opportunity. There is concern about discrimination against older workers, at the same time as there is concern about a shortage of labour. Migration of labour from places with young populations to places with ageing populations is sometimes seen in a positive light and sometimes quite differently. With chapters reflecting different perspectives from around the world, this book constitutes a major contribution to serious, informed debate on issues that all too often ...
This book compiles exceptional papers presented at the 19th Annual Conference of the China Electrotechnical Society (CES), held in Xi'an, China, from September 20 to 22, 2024. It encompasses a wide range of topics, including electrical technology, power systems, electromagnetic emission technology, and electrical equipment. The book highlights innovative solutions that integrate concepts from various disciplines, making it a valuable resource for researchers, engineers, practitioners, research students, and interested readers.
This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into e...
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Structured Object-Oriented Formal Language and Method, SOFL+MSVL 2015, held in Paris, France, in November 2015. The 15 papers presented in this volume were carefully reviewed and selected from 22 submissions. The focus of this workshops was on following subjects: Modeling, specification, verification, model checking, testing, debugging, transformation, and algorithm.
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. - Explains design principles of deep learning techniques for MIC - Contains cutting-edge deep learning research on MIC - Covers a broad range of MIC tasks, including the classification, detection, segmentation, registration, reconstruction and synthesis of medical images