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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...
Acrylamide in Food
Acrylamide in Food, Second Edition, is fully updated with four new chapters that incorporate current literature on acrylamide, including analysis, formation mechanisms, levels in foods, reduction strategies, and new regulations, such as the one made by the European Union in 2017 regarding the presence of acrylamide in processed foods. The book comprises of four parts: part one introduces acrylamide and the food chain in the context of harm and health. Part two focusses on acrylamide in various types of foods, such as bakery products, fried potato products, coffee, battered products, water, table olives, etc. Part three highlights its interaction mechanisms and health effects. Part four discu...
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.
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...
Federated Learning
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
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.
TMS 2017 146th Annual Meeting & Exhibition Supplemental Proceedings
This collection features papers presented at the 146th Annual Meeting & Exhibition of The Minerals, Metals & Materials Society.
Everyday Luxuries
-A comprehensive introduction to the art and culture of the Ottoman Empire -Volume 2 in the Connecting Art Histories in the Museum series, published in co-operation with the Berlin State Museums From patterned silks and porcelains to printed cottons and earthenwares, art and commodities flowed through Ottoman Constantinople, eddying around artisans, shop-keepers, residents and visitors. Guilds of spoon-makers and workers in mother-of-pearl, textile merchants from India and Italy, sellers of coffee and ceramics together thronged neighborhoods up and down the Bosphorus and along the Golden Horn. This book offers a comprehensive introduction to the art and material culture of the Ottoman Empire, taking as its premise the key role of every day activities. It also argues for new modes of studying all kinds of mass-produced goods destined for popular consumption. Also available in the series: Mshatta in Berlin: Keystone in Islamic Art, Connecting Histories in the Museum Vol. 1 ISBN 9783862063970 Praying for Myriad Virtues: On Ding Guanpeng's 'The Buddha Peaching' in the Berlin Collection, Connecting Art Histories in the Museum Vol. 3 ISBN 9783862064786
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.
