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Sustainable Current Approaches in Architectural Science and Technology, Livre de Lyon
This work creates a space at the intersection of multiple discussions on emotion, conflict, and critical peace education. It draws on academic literature that attempts to highlight the possibilities and the pitfalls of considering the role of peace education in healing and reconciliation.
Many factors influence obesity including genetic, environmental, and lifestyle factors. Studies have shown obesity to be related to increased risk of human diseases. Despite efforts by health professionals to regulate obesity, its prevalence has increased globally in the past few decades. A better understanding of the causes of obesity and mechanisms by which obesity increases the risk of human diseases can lead to developing effective strategies that can save many lives worldwide. This book addresses some important aspects of the relationship between obesity and human health. Chapters cover such topics as body mass index, endocrine disorders, obesity, and endometrial cancer, the role of lifestyle factors in obesity, and much more.
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Drawing upon philosophy and social theory, Social Theory of International Politics develops a theory of the international system as a social construction. Alexander Wendt clarifies the central claims of the constructivist approach, presenting a structural and idealist worldview which contrasts with the individualism and materialism which underpins much mainstream international relations theory. He builds a cultural theory of international politics, which takes whether states view each other as enemies, rivals or friends as a fundamental determinant. Wendt characterises these roles as 'cultures of anarchy', described as Hobbesian, Lockean and Kantian respectively. These cultures are shared ideas which help shape state interests and capabilities, and generate tendencies in the international system. The book describes four factors which can drive structural change from one culture to another - interdependence, common fate, homogenization, and self-restraint - and examines the effects of capitalism and democracy in the emergence of a Kantian culture in the West.
Solutions for learning from large scale datasets, including kernel learning algorithms that scale linearly with the volume of the data and experiments carried out on realistically large datasets. Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset of the data. This volume offers researchers and engineers practical solutions for learning from large scale ...
Phenolics are commonly available compounds in foods, beverages, and spices. They have great importance in all aspects of daily life including industry, health, and research. As such, this book presents a comprehensive overview of phenolic compounds and their potential applications in industry, environment, and public health. Chapters cover such topics as the production of these compounds and their uses in environmental sustainability, climate change, green industry, and treatment of human disease.
Kevin Volkan and Vamik Volkan present a comprehensive study of schizophrenia using a psychoanalytic lens on the existing interdisciplinary research. Over the last seventy years, mainstream research on the causes, prevalence, and treatment of schizophrenia has greatly diverged from psychoanalytic thinking. However, the emergence of the field of neuropsychoanalysis brings hope that psychoanalytic metapsychology and clinical theory may once again provide valuable insight into understanding schizophrenia. Psychoanalytic treatment may not be appropriate for many sufferers but psychoanalysis does provide insight to inform and improve treatment. It can also illuminate what aspects of schizophrenia ...
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...