Böcker utgivna av World Scientific Publishing Company

This is the fourth volume of edited books constituting an eclectic collection of papers in behavioral finance based on contributions by participants of Israel Behavior Finance conferences. Like its predecessors, this book continues to be edited by Professor Itzhak Venezia (this book with Dr Rachel Calipha), who carefully selected the papers to be included in this volume.Behavioral finance has evolved significantly since its inception, and chapters in this collection reflect the diverse and dynamic nature of this field. They not only build upon the foundational concepts established in the earlier volumes but also explore novel financial products, themes, and ideas that have gained rapid prominence in recent years: From the integration of artificial intelligence into investment decision-making processes, to the analysis of the alternative meats industry, and various other alternative investment instruments such as NFTs (Non-Fungible Tokens). This collection, therefore, pushes the boundaries of what is conventionally associated with behavioral finance.

This monograph offers a comprehensive exposition of the theory surrounding time-fractional partial differential equations, featuring recent advancements in fundamental techniques and results. The topics covered encompass crucial aspects of the theory, such as well-posedness, regularity, approximation, and optimal control. The book delves into the intricacies of fractional Navier-Stokes equations, fractional Rayleigh-Stokes equations, fractional Fokker-Planck equations, and fractional Schrödinger equations, providing a thorough exploration of these subjects. Numerous real-world applications associated with these equations are meticulously examined, enhancing the practical relevance of the presented concepts.The content in this monograph is based on the research works carried out by the author and other excellent experts during the past five years. Rooted in the latest advancements, it not only serves as a valuable resource for understanding the theoretical foundations but also lays the groundwork for delving deeper into the subject and navigating the extensive research landscape. Geared towards researchers, graduate students, and PhD scholars specializing in differential equations, applied analysis, and related research domains, this monograph facilitates a nuanced understanding of time-fractional partial differential equations and their broader implications.

This is the first book on the problems of mathematical modeling that combines a generalized approach to the problem of mathematical modeling processes and phenomena in the real world with developing modeling methods in relation to specific objects and processes. Some of the problems discussed here include stability and bifurcation of simplified models of supply and demand, and resultants of various approaches, such as standardization, unification and partial order, data packaging.As well as touching upon the general principles of modeling, the book studies the stability of mathematical models using the generalized direct Lyapunov method based on matrix-valued auxiliary functions. It has significant potential for application in the design of new moving objects (nano-robots, manipulators, drones, etc.) and processes related to artificial intelligence (multidimensional interaction of related data arrays) that can be described by differential equations of different types.Written by two well-known specialists in the field of qualitative theory of equations and problems of modeling real-world phenomena, this book is primarily targeted at specialists in the field of engineering sciences, but is also suitable for graduate courses.

The fine balance in reactive species (RS) levels inside the cell, or redox homeostasis, is crucial for normal life. RS are molecules such as hydroxyl, superoxide, and others whose reaction rates are typically high. Further, RS are now accepted as the molecular mediators of stresses on cells. RS are also implicated in many diseases including cancer, cardiovascular diseases, and neurodegenerative diseases.In contrast to the popular view that RS are deleterious, this book discusses desirable outcomes from the manipulation of reactive species levels in the cells. The discoveries include a fundamental approach to overcome major limitations with traditional oxygen supply to bioreactors, a mere treatment of the inoculum to significantly (sometimes many-fold) increase productivity of bio-oil, enzymes, and other products from bioprocesses, unexpected effect of shear on cultivated cells, rhythms in intracellular reactive species levels and resetting the rhythm to significantly improve cancer drug efficiency.The book concludes with a description of a scalable reactive species module - one that can be integrated with any genome scale model to gain significant insights into the RS effects on metabolism.

This book provides a comprehensive introduction to Fock space theory and its applications to mathematical quantum field theory. The first half of the book, Part I, is devoted to detailed descriptions of analysis on abstract Fock spaces (full Fock space, boson Fock space, fermion Fock space and boson-fermion Fock space). It includes the mathematics of second quantization, representation theory of canonical commutation and anti-commutation relations, Bogoliubov transformations, infinite-dimensional Dirac operators and supersymmetric quantum field in an abstract form. The second half of the book, Part II, covers applications of the mathematical theories in Part I to quantum field theory. Four kinds of free quantum fields are constructed and detailed analyses are made. A simple interacting quantum field model, called the van Hove-Miyatake model, is fully analyzed in an abstract form. Moreover, a list of interacting quantum field models is presented and an introductory description to each model is given. In this second edition, a new chapter (Chapter 15) is added to describe a mathematical theory of spontaneous symmetry breaking which is an important subject in modern quantum physics.This book is a good introductory text for graduate students in mathematics or physics who are interested in the mathematical aspects of quantum field theory. It is also well-suited for self-study, providing readers a firm foundation of knowledge and mathematical techniques for more advanced books and current research articles in the field of mathematical analysis on quantum fields. Numerous problems are added to aid readers in developing a deeper understanding of the field.

The unique compendium covers a wide range of recent advanced contributions in Pattern Recognition and Artificial Intelligence, both in theoretical aspects and applications. It highlights the importance of Deep Learning in various domains, from acquisition to Decision Making.Written by world renowned contributors, this high-quality research works presents case studies that can potentially help them find approaches and resources to address their scientific problems.It is a useful reference text for professionals, researchers, academics and graduate students in the fields of artificial intelligence, machine learning and deep learning.

Federated Learning is currently an emerging technology in the field of machine learning. Federated Learning is a structure which trains a centralized model for a given assignment, where the data is de-centralized across different edge devices or servers. This enables preservation of the confidentiality of data on various edge devices, as only the updated outcomes of the models are shared with the centralized model. This means the data can remain on each edge device, while we can still train a model using that data.Federated Learning has greatly increased the potential to transmute data in the healthcare industry, enabling healthcare professionals to improve treatment of patients.This book comprises chapters on applying Federated models in the field of healthcare industry.Federated Learning mainly concentrates on securing the privacy of data by training local data in a shared global model without putting the training data in a centralized location. The importance of federated learning lies in its innumerable uses in health care that ranges from maintaining the privacy of raw data of the patients, discover clinically alike patients, forecasting hospitalization due to cardiac events impermanence and probable solutions to the same. The goal of this edited book is to provide a reference guide to the theme.

This unique compendium approaches the relatively new Isogeometric Analysis (IGA) methods at senior undergraduates level in engineering or applied mathematics. It describes the differences between the well-established Finite Element Analysis (FEA) methods and why they are being replaced, or enhanced, by the latest developments in IGA.The book begins with summaries of the concepts of B-splines, NURBS, and 'knot vectors' which define them as exact representations of the geometry and as powerful analysis functions having higher continuity than the FEA use of Lagrange polynomials.The useful reference text includes Appendices with Matlab scripts for creating B-spline basis functions, topics in computer aided geometric design (CAGD) from which IGA arose, and matrix operations common to IGA and FEA. It also informs FEA users of the enhancements offered by IGA.

This book combines the fundamental forces of technology, economics, finance and policy in understanding the development and deployment of CCUS to facilitate clean energy transition and therefore achieve carbon neutrality in the ASEAN. It provides policy-driven empirical studies, investigating and evaluating multiple facets of development and deployment of CCUS in the ASEAN. These carefully chosen case-studies map CCUS in the regional and country-specific policy framework of the ASEAN; capture technological aspects of CCUS deployment by focussing on the existing and potential industrial applications of CCUS as well as focus on the economics and financial dimensions of CCUS development and deployment. This book on energy technology, economics and policy is highly recommended for readers seeking an exploratory but robust overview on the recent empirical evidences of facilitating the development and deployment of CCUS, with particular reference to the ASEAN and Asian economies including China.

This book is a sequel of The Physics of Quantum Well Infrared Photodetectors (1997), which covered the basic physics of QWIPs. In the intervening 27 years, QWIP properties pertinent to infrared detection are much better understood, and QWIP technology has become a mainstream, widely deployed infrared technology. The main progress is the ability to know the QWIP absorption quantum efficiency quantitatively through rigorous electromagnetic modeling. The lack of theoretical prediction has impeded QWIP development for a long time. Generally, an arbitrary choice of detector structures yields substantial variations of absorption properties, and QWIP was regarded as a low quantum efficiency detector. With the advent of electromagnetic modeling, quantum efficiency of any detector geometry can be known exactly and be optimized to attain a large satisfactory value. Consequently, all properties of QWIPs are predictable, not unlike prevailing silicon devices. This unique characteristic enables QWIP to be the most manufacturable long wavelength infrared technology in mass production. This book by K K Choi, a co-inventor of QWIPs, will capture this exciting development.Based on the materials expounded in the book, the reader will know key performance metrics in infrared detection, in-depth knowledge of QWIP material and structural designs, array production, its application, and practical knowledge of electromagnetic modeling. In addition, the book will describe using micro- and nano-structures to enhance the emission properties of active and passive optical emitters, similar to detectors. The application of rigorous electromagnetic modeling to optical emitters is new to the optoelectronic community. The resonator-pixel emitter structure with its modeling method will no doubt be able to attract substantial academic and industrial attention in years to come.

This book serves as an introductory volume to Yair Aharoni's remarkable impact on international business (IB) research. Most IB researchers will be familiar with at least one aspect of his work, but relatively few will be familiar with his broader body of work, as it spans so many of the issues addressed today in IB and strategy. This book aims to introduce readers to the depth and breadth of his impact.Unquestionably a founder of the IB field, over the course of his long career, Aharoni influenced its earliest development and, driven by a deep connection to policy and managerial practice, continually challenged conventional thinking on IB and strategy. He generated seminal insights into many aspects of why and how firms internationalize, including managerial decision-making processes, the strategies employed by state-owned enterprises, the interaction between firms and governments, and the foreign expansion of firms - including small- and medium-sized enterprises (SMEs) and those operating in the service sector - based in small and open economies. His research contributed to several salient research directions, including the behavioral theory of the firm, emerging-market multinationals, international entrepreneurship, the service economy, and non-market strategies.Aharoni was also an influential educator, having served as the founding dean of two top business schools in Israel. He was deeply engaged with the Israeli business environment - particularly senior executives of start-up companies - and a highly-valued advisor to the Israeli government. In honor of these contributions, Aharoni was the first management scholar in Israel, to be awarded the prestigious Israel Prize in 2010. Few scholars have had such meaningful impact on research, practice, and policy.

Over the past few decades, the field of machine learning has made remarkable strides, surpassing human performance in tasks like voice and object recognition, as well as mastering various complex games. Despite these accomplishments, a critical challenge remains: the absence of general intelligence. Achieving artificial general intelligence (AGI) requires the development of learning agents that can continually adapt and learn throughout their existence, a concept known as lifelong learning.In contrast to machines, humans possess an extraordinary capacity for continuous learning throughout their lives. Drawing inspiration from human learning, there is immense potential to enable artificial learning agents to learn and adapt continuously. Recent advancements in continual learning research have opened up new avenues to pursue this objective.This book is a comprehensive compilation of diverse methods for continual learning, crafted by leading researchers in the field, along with their practical applications. These methods encompass various approaches, such as adapting existing paradigms like zero-shot learning and Bayesian learning, leveraging the flexibility of network architectures, and employing replay mechanisms to enable learning from streaming data without catastrophic forgetting of previously acquired knowledge.This book is tailored for researchers, practitioners, and PhD scholars working in the realm of Artificial Intelligence (AI). It particularly targets those envisioning the implementation of AI solutions in dynamic environments where data continually shifts, leading to challenges in maintaining model performance for streaming data.

The dynamic mechanism of plate tectonics remains a reasonable theory, but one with shortcomings such as insufficient bases for plate division, unclear plate boundaries, and unclear geological characteristics. This book proposes that the world's continents should not be divided by plates, and that their formation is not due to plate tectonics but rather due to global crustal uplift evolution and sea-land evolution. This proposal is based on the authors' broad theoretical foundation and comprehensive professional knowledge, built up over more than ten years of in-depth research by many scholars on the evolution of the Earth's continents.In this book, many case studies are better explained by global crustal uplift and sea-land evolution. Namely, that the entire continents of the world are indivisible, and the changes of each land block over geological periods resulted from the sea-land changes.The book further develops the original "geomechanics theory" created by the famous geologist Li Siguang. As a vibrant and highly rigorous work, Prof Li's book offered important theoretical guidance that enriched the global geological community and led to a re-development within geological science. The strong response highlights the significance of geomechanics theory and our theories that build upon it in this book.

There are many theories on why managers do not (as a behavior) or should not (as a value) supplement profit orientation with people-centrism and planet sensitivity. In practice, managers do not supplement profit orientation with considerations for people and the planet unless they have the tools and know how to make that possible. This book seeks to address that by focusing on the normative dimension of organizational development. There are two competing norms for developing an organization: first, as a profit-oriented business enterprise; and second, as a people-centric, planet-sensitive, profit-oriented business or social enterprise.The performance of a business is a concern for all stakeholders. With the growing realization of the importance of indirect stakeholders like the society and the planet, it is increasingly important to raise awareness about the social and environmental responsibilities of businesses and organizations. This book is a must-read for academics, researchers, practitioners and policymakers who are concerned about the triple bottom-line (Planet-People-Profit) performance of businesses, which is critical for their long-term sustainability. It covers topics pertaining to the relationship between business and society, including social entrepreneurship and corporate social responsibility, among others, and draws from real-life case studies on social initiatives.

3D deep learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D deep learning, covering a wide range of research topics and applications. It collates the most recent research advances in 3D deep learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D deep learning research and adoption, therefore making 3D deep learning more practical and feasible for real-world applications.This book is organized into five sections, each of which addresses different aspects of 3D deep learning. Section I: Sample Efficient 3D Deep Learning, focuses on developing efficient algorithms to build accurate 3D models with limited annotated samples. Section II: Representation Efficient 3D Deep Learning, deals with the challenge of developing efficient representations for dynamic 3D scenes and multiple 3D modalities. Section III: Robust 3D Deep Learning, presents methods for improving the robustness and reliability of deep learning models in real-world applications. Section IV: Resource Efficient 3D Deep Learning, explores ways to reduce the computation cost of 3D models and improve their efficiency in resource-limited environments. Section V: Emerging 3D Deep Learning Applications, showcases how 3D deep learning is transforming industries and enabling new applications for healthcare and manufacturing.This collection is a valuable resource for researchers and practitioners interested in exploring the potential of 3D deep learning.

This unique compendium provides state-of-the-art computational methodology and applications in bioimage informatics. It covers cutting-edge technology developments in biological image analysis, where images come from new modalities and are often large scale, high throughput and high dimensional. The book reflects advances in intelligent algorithms for tasks such as biological image segmentation, reconstruction, and object tracking.Contributed by world renowned researchers, this useful reference text presents case studies that can potentially help readers find approaches and resources to address their imminent scientific problems.

It is eleven years since the First Edition of Geometry of Crystallographic Groups appeared. This Second Edition expands on the first, providing details of a new result of automorphism of crystallographic groups, and on Hantzsche-Wendt groups/manifolds.Crystalographic groups are groups which act via isometries on some n-dimensional Euclidean space, so-named because in three dimensions they occur as the symmetry groups of a crystal. There are short introductions to the theme before every chapter, and a list of conjectures and open projects at the end of the book.Geometry of Crystallographic Groups is suitable as a textbook for students, containing basic theory of crystallographic groups. It is also suitable for researchers in the field, discussing in its second half more advanced and recent topics.

The unique compendium provides a broad up-to-date perspective on THz science and technology -- enabling technology for 6G communication, detection of biological and chemical hazardous agents, cancer detection, monitoring of industrial processes and products, and detection of mines and explosives.Contributed by eminent researchers, this useful reference text links THz science and THz applications and combines a detailed review of the state-of-art with the most recent breakthrough research results.

The Numerical Jordan Form is the first book dedicated to exploring the algorithmic and computational methods for determining the Jordan form of a matrix, as well as addressing the numerical difficulties in finding it. Unlike the "pure" Jordan form, the numerical Jordan form preserves its structure under small perturbations of the matrix elements so that its determination presents a well-posed computational problem. If this structure is well conditioned, it can be determined reliably in the presence of uncertainties and rounding errors.This book addresses the form's application in solving some important problems such as the estimation of eigenvalue sensitivity and computing the matrix exponential. Special attention is paid to the Jordan-Schur form of a matrix which, the author suggests, is not exploited sufficiently in the area of matrix computations. Since the mathematical objects under consideration can be sensitive to changes in the elements of the given matrix, the book also investigates the perturbation analysis of eigenvalues and invariant subspaces. This study is supplemented by a collection over 100 M-files suitable for MATLAB in order to implement the state-of-the art algorithms presented in the book for reducing a square matrix into the numerical Jordan form.Researchers in the fields of numerical analysis and matrix computations and any scientists who utilise matrices in their work will find this book a useful resource, and it is also a suitable reference book for graduate and advance undergraduate courses in this subject area.