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A Time for Metabolism and Hormones

Recent years have seen spectacular advances in the field of circadian biology. These have attracted the interest of researchers in many fields, including endocrinology, neurosciences, cancer, and behavior. By integrating a circadian view within the fields of endocrinology and metabolism, researchers will be able to reveal many, yet-unsuspected aspects of how organisms cope with changes in the environment and subsequent control of homeostasis. This field is opening new avenues in our understanding of metabolism and endocrinology. A panel of the most distinguished investigators in the field gathered together to discuss the present state and the future of the field. The editors trust that this volume will be of use to those colleagues who will be picking up the challenge to unravel how the circadian clock can be targeted for the future development of specific pharmacological strategies toward a number of pathologies.

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A Sea Change: The Exclusive Economic Zone and Governance Institutions for Living Marine Resources

A Sea Change in a Changing Sea The oceans, seas and coastal areas encompass over 70% of the earth’s surface. They are a critical driver of the earth’s hydrologic cycle and climate system, important for c- merce, transport, and tourism, a source of economically important living marine resources, minerals such as hydrocarbons, as well as new pharmaceutical compounds. The marine environment provides essential habitats for thousands of marine living 1 2 resources, which in turn contribute significantly to global food security, employment, 3 and trade. Overall, the sea’s contribution to human welfare, in terms of market and non-market resources and environmental services, has been estimated at US$21 trillion/year (Costanza, 2000). However, despite the importance of the ocean realm to humans, there is a growing sense that human impacts are destabilizing this system. Some experts believe that current fishing levels are approaching or exceeding the total 4 productivity of the ocean ecosystem (National Research Council, 1999).

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A Life Course Perspective on Health Trajectories and Transitions

This book examines health trajectories and health transitions at different stages of the life course, including childhood, adulthood and later life. It provides findings that assess the role of biological and social transitions on health status over time. The essays examine a wide range of health issues, including the consequences of military service on body mass index, childhood obesity and cardiovascular health, socio-economic inequalities in preventive health care use, depression and anxiety during the child rearing period, health trajectories and transitions in people with cystic fibrosis, and oral health over the life course.

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A History of Atmospheric CO2 and Its Effects on Plants, Animals, and Ecosystems

The authors address the future role of atmospheric CO2 and its likely effects on ecosystems. This book incorporates the advances of various earth science, environmental, and ecological fields into an overall account of global change and the changing dynamics of life on Earth.

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3D cell culture : Methods and protocols

Expands on the previous edition with discussions about the latest organoid models developed for many more organs; new hydrogels and devices for 3D culture; and the organoid systems that have been improved by incorporating more components of tissue microenvironments in the in vitro culture. The chapters in this book are organized into five parts and cover topics such as biofabrication, organoids, microfluidic systems, bioprinting, and image analysis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

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Law, Humanities and the COVID Crisis

Seeks to address the immediacy of COVID-19 by focusing on the implications of the virus in a wider interdisciplinary context Law, Humanities and the COVID Crisis</i> sets out a framework for understanding the COVID-19 virus beyond its epidemiological constraints, asking us to question the very definition of what it means to be human. Researchers from around the world offer their critical reflections on the past, present, and future of this period of sociocultural upheaval and the tremendous suffering that has laid bare fundamental imbalances in our society.

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Community-oriented policing and technological innovations

Presents new approaches and innovative challenges to address bringing technology into community-oriented policing efforts. “Community-oriented policing” is an approach that encourages police to develop and maintain personal relationships with citizens and community organizations. By developing these partnerships, the goal is to enhance trust and legitimacy of police by the community (and vice versa), and focus on engaging the community crime prevention and detection efforts for sustainable, long-term crime reduction. The contributions to this volume emphasize how technological innovations can advance community-oriented policing goals.

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China and the World in a Changing Context : Perspectives from Ambassadors to China

This book aims to present an overview of China and the world from diverse angles. It brings together essays by ambassadors to China on a range of bilateral and multilateral issues, including trade and investment, regional economic cooperation, sustainable development, technology and innovation, and entrepreneurship. Given their familiarity with China and extensive international experience, the insights of these ambassadors are useful for policymakers, academics, entrepreneurs, students, and anyone trying to make sense of our rapidly changing world.

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Artificial Intelligence and International Economic Law : Disruption, Regulation, and Reconfiguration

This book was finalized while countries around the world were still confronting a global public health crisis caused by the COVID-19 pandemic. Many came to rely on digital services as an infrastructure for social interaction and professional endeavors, including academic and educational work. The pandemic seems to have precipitated a further shift towards digital technologies and artificial intelligence. It is our hope that this book will contribute to an informed discussion about the relevance of and implications for international economic law beyond the pandemic"

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AI and law : How automation is changing the law

Provides insights into how AI is changing legal practice, government processes, and individuals’ access to those processes, encouraging each of us to consider how technological advances are changing the legal system. Particularly, and distinct from current debates on how to regulate AI, this books focuses on how the progressive merger between computational methods and legal rules changes the very structure and application of the law itself.

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2050 China : Becoming a Great Modern Socialist Country

This book is arranged and developed around the theme of “2050 China,” it analyzes the factors and advantages of the Chinese road to socialist modernization, explores and summarizes the development goal and the basic logic of the socialist modernization of China, and further shows the general basis of the primary stage of socialism.

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Artificial intelligence in the financial services industry

Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect abnormalities, and solve complex problems. Financial institutions are already experimenting extensively with AI strategies to enhance and streamline financial institutions, BSA and AML compliance, CRA requirements, fraud detection, and real estate valuations, all while reducing cost levels. This book looks at how artificial intelligence is affecting the financial services industry.

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Mathematical Approaches to Software Quality

This book considers the potential and limitations of the various mathematical approaches and thereby aims to give a balanced view of the usability of each mathematical approach. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers. It is suitable for coursework or self-study and there is helpful material on tools to support the various mathematical approaches.

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Markov Models for Pattern Recognition : From Theory to Applications

Describes the underlying theoretical concepts - covering Hidden Markov models and Markov chain models - and presents the techniques and algorithmic solutions essential to creating real world applications. The actual use of Markov models in their three main application areas - namely speech recognition, handwriting recognition, and biological sequence analysis - is presented with examples of successful systems.

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Machine learning in healthcare : Fundamentals and recent applications

Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.

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Machine learning for brain disorders

Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.

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Machine learning and deep learning in medical data analytics and healthcare applications

Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.

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Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

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Logics of Specification Languages

Dedicated chapters address : the use of ASM (Abstract State Machines) in the classroom; the Event-B modelling method; a methodological guide to CafeOBJ logic; CASL, the Common Algebraic Specification Language; the Duration Calculus; the logic of the RAISE specification language (RSL); the specification language TLA+; the typed logic of partial functions and the Vienna Development Method (VDM); and Z logic and its applications. Each chapter is self-contained, with references, and symbol and concept indexes. Finally, in a unique feature, the book closes with short commentaries on the specification languages written by researchers closely associated with their original development.

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Logical Data Modeling : What it is and How to do it

LOGICAL DATA MODELING: What It Is and How To Do IT is directed toward three groups of people: (1) Business subject matter experts, (2) information technology professionals, (3) advanced students in Computer Science, Management Information Systems, and e-Business. Its purpose is to outline the basics of logical data modeling—specifically, data modeling for relational database management systems—in simple, practical terms and in a business context. The focus on relational data modeling is consciously made because it is superior in modeling real business activities.

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