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Handbook of the Fundamentals of Financial Decision Making
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Manageme...
Graph Representation Learning
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...
Empathy in Patient Care
Human beings, regardless of age, sex, or state of health, are designed by evolution to form meaningful interpersonal relationships through verbal and nonverbal communication. The theme that empathic human connections are beneficial to the body and mind underlies all 12 chapters of this book, in which empathy is viewed from a multidisciplinary perspective that includes evolutionary biology; neuropsychology; clinical, social, developmental, and educational psychology; and health care delivery and education.
Federated Learning
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...
Genocide in the Middle East
Genocide in the Middle East describes the genocide of the Armenians, Greeks, and Assyrians of the Ottoman Empire in the nineteenth and early twentieth centuries; of the Kurds and other persons living under Saddam Hussein in northern Iraq in the late 1980s; and of the Dinka, Nuba, Fur, Masalit, and Zaghawa peoples of Sudan from the 1970s to the present. It situates these crimes in their historical context, as outgrowths of intolerant religious traditions, imperialism and the rise of the nation-state, Cold War insurgencies and counterinsurgencies, and the global competition for resources and markets at the expense of indigenous peoples. This requires a more thorough investigation of the case l...
Representation Learning for Natural Language Processing
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Acrylamide in Food
Acrylamide in Food: Analysis, Content and Potential Health Effects provides the recent analytical methodologies for acrylamide detection, up-to-date information about its occurrence in various foods (such as bakery products, fried potato products, coffee, battered products, water, table olives etc.), and its interaction mechanisms and health effects. The book is designed for food scientists, technologists, toxicologists, and food industry workers, providing an invaluable industrial reference book that is also ideal for academic libraries that cover the domains of food production or food science. As the World Health Organization has declared that acrylamide represents a potential health risk,...
Influenza Virus Sialidase - A Drug Discovery Target
Influenza continues to be an ongoing problem despite the existence of vaccines and drugs. Disease outbreaks can occur relatively quickly as witnessed with the recent emergence of the influenza virus A/H1N1 pandemic. The development of new anti-influenza drugs is thus a major challenge. This volume describes all aspects of the virus structure and function relevant to infection. The focus is on drug discovery of inhibitors to the enzyme sialidase, which plays a key role in the infectious lifecycle of the virus. Following an overview of the influenza virus, the haemagglutinin, the interactions with the cell receptors and the enzymology of virus sialidase, recent results in drug design are presented. These include a full coverage of the design, synthesis and evaluation of carbohydrate as well as non-carbohydrate influenza virus sialidase inhibitors. Further reviews of the clinical experience with influenza virus sialidase inhibitors and of the development of resistance to these inhibitor drugs complement the topic.
The Linguistic Cerebellum
The Linguistic Cerebellum provides a comprehensive analysis of this unique part of the brain that has the most number of neurons, each operating in distinct networks to perform diverse functions. This book outlines how those distinct networks operate in relation to non-motor language skills. Coverage includes cerebellar anatomy and function in relation to speech perception, speech planning, verbal fluency, grammar processing, and reading and writing, along with a discussion of language disorders. Discusses the neurobiology of cerebellar language functions, encompassing both normal language function and language disorders Includes speech perception, processing, and planning Contains cerebellar function in reading and writing Explores how language networks give insight to function elsewhere in the brain
Behavioral Coaching
The first published book to detail a model of behavioural coaching and how to apply it. Behavioral Coaching is a universal and scientific model, resulting in validated, measurable, sustained learning and change in individuals and organisations. Both of the authors are leaders in their fields. Their books sell well internationally and they have an established reputation as coaching authorities. This book follows on from the first two books; The Complete Guide to Coaching at Workwas a general introduction to definitions and applications of coaching. Behavioral Coaching provides a model of practice for the coaching applications in The Complete Guide to Coaching at Work and the tools and techniques described inThe Coaching at Work Toolkit. This book presents a coherent definition and model of behavioural coaching based upon scientific, validated behavioural principles.
