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This book is a good collection of state-of-the-art approaches to financial engineering. It will be especially useful to new researchers and practitioners working in this field and will help them to quickly grasp the current state of financial engineering. The book equips the readers with comprehensive understanding of technological issues and financial innovations in environmental and social matters. It will allow the readers to use new econometric and operational methods to examine certain innovative products. Finally, it proposes new operational solutions based on a framework of analysis that has not yet been explored, so that the dialogue between financial engineering professionals and company managers may be more efficient, effective and impactful.
This is a book for the second course in linear algebra whereby students are assumed to be familiar with calculations using real matrices. To facilitate a smooth transition into rigorous proofs, it combines abstract theory with matrix calculations.This book presents numerous examples and proofs of particular cases of important results before the general versions are formulated and proved. The knowledge gained from a particular case, that encapsulates the main idea of a general theorem, can be easily extended to prove another particular case or a general case. For some theorems, there are two or even three proofs provided. In this way, students stand to gain and study important results from different angles and, at the same time, see connections between different results presented in the book.
Machine Learning in Bioinformatics of Protein Sequences guides readers around the rapidly advancing world of cutting-edge machine learning applications in the protein bioinformatics field. Edited by bioinformatics expert, Dr Lukasz Kurgan, and with contributions by a dozen of accomplished researchers, this book provides a holistic view of the structural bioinformatics by covering a broad spectrum of algorithms, databases and software resources for the efficient and accurate prediction and characterization of functional and structural aspects of proteins. It spotlights key advances which include deep neural networks, natural language processing-based sequence embedding and covers a wide range of predictions which comprise of tertiary structure, secondary structure, residue contacts, intrinsic disorder, protein, peptide and nucleic acids-binding sites, hotspots, post-translational modification sites, and protein function. This volume is loaded with practical information that identifies and describes leading predictive tools, useful databases, webservers, and modern software platforms for the development of novel predictive tools.
Metal halide perovskites are the hottest materials currently.This unique compendium covers systematically the fundamental aspects of synthesis, properties, and applications of metal halide perovskites that exhibit unique properties and useful functionalities.Written for beginners and practitioners, this useful reference text provides a good balance between fundamental concepts/principles and related recent researches with many highlighted examples.This volume benefits researchers, practitioners, graduate students in materials chemistry/nanochemistry, physical chemistry and semiconductors.
The unique compendium presents special principles and techniques of spectroscopic measurements that are used in semiconductor manufacturing.Since industrial applications of spectroscopy are significantly different from those traditionally used in scientific laboratories, the design concepts and characteristics of industrial spectroscopic devices may vary significantly from conventional systems. These peculiarities are thus succinctly summarized in this volume for a wide audience of students, engineers, and scientific workers.Exceptionally well-illustrated with practical solutions in detail, this useful reference text will open new horizons in new research areas.
With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.
The unique compendium re-assesses the value of future and emergent computing technologies via artistic and philosophical means. The book encourages scientists to adopt inspiring thinking of artists and philosophers to reuse scientific concepts in their works.The useful reference text consists of non-typical topics, where artistic and philosophical concepts encourage readers to adopt unconventional approaches towards computing and immerse themselves into discoveries of future emerging landscape.
The quest for the unification of fundamental interactions has become the most challenging frontier of sciences in the 21st century. This book presents a detailed analysis and systematic investigation of the foundations of the hyperunified field theory (HUFT) in light of the path integral formulation with the least action principle. Alternative to other unification theories, the starting point of HUFT is initiated from a simple notion that the universe is made of the fundamental building block which is always moving and obeys the basic rule. Such a rule is delved into in this book by proposing the maximum locally entangled-qubits motion principle together with the scaling and gauge invariance principle. These two basic guiding principles are demonstrated to lay the foundations of HUFT, which enable enables us to discuss a series of long-standing fundamental questions, such as: why does the fundamental building block of nature appear as an entangled qubit-spinor field? what brings about the fundamental symmetry of nature? how does the inhomogeneous hyperspin gauge symmetry govern all basic forces? what is the nature of gravity and space-time? how can the space-time dimension and qubit-spinor field be categorized? why do we live in a universe with only four-dimensional space-time? why are there more than one family of leptons and quarks? how does the early universe evolve to be inflationary? what is the nature of dark matter and dark energy?Foundations of the Hyperunified Field Theory will be of great interest to graduate and senior undergraduate students, junior and senior researchers in theoretical physics, quantum field theory, particle physics, gravitational theory, cosmology, as well as mathematical physics and general physics.
This book contains contributions by the best-known and consequential researchers who, over several decades, shaped the field of financial engineering. It presents a comprehensive and unique perspective on the historical development and the current state of derivatives research. The book covers classical and modern approaches to option pricing, realized and implied volatilities, classical and rough stochastic processes, and contingent claims analysis in corporate finance. The book is invaluable for students, academic researchers, and practitioners working with financial derivatives, market regulation, trading, risk management, and corporate decision-making.
The global public health crisis of COVID-19 highlights the importance of digital technology. The digital economy is also booming during the pandemic, which has become one of the major driving forces of economic recovery. Given the vital importance of digital technology and the digital economy, this book provides an in-depth understanding of their implications for the sustainable development of ASEAN-China relations from various perspectives. In addition, authors also contribute their resourceful insights on the sustainable development of both China and ASEAN Member States (AMS) through the lens of eco-tourism, carbon neutrality, social inequality, and others.This book provides a series of high-quality policy recommendations. Specific policy recommendations include: 1) China and ASEAN should launch a project to identify connectivity gaps and detail how this might evolve in future investment in digital and ICT (science, technology and innovation). 2) Efforts should be intensified in digital literacy programs, capacity building, and promotion of digital skills to build workforce capacity in the digital age. 3) As a pacesetter in the digital inclusion agenda in the healthcare sector, China can cooperate with other AMS on digital healthcare projects. 4) Action plans should increase collaborative manufacturing and develop mutual trust in supply chains. 5) China and ASEAN should align STI policies with industrial policies and cooperate in adopting frontier technologies while diversifying their production bases by mastering many existing technologies.6) ASEAN and China should continue facilitating e-commerce, including paperless customs clearance, electronic transaction documents, digital authentication, and electronic and online payments.
This comprehensive compendium provides an up-to-date scientific source of biomedical engineering principles of "replacement parts and assist devices" for the bionic man. It covers biomechanics, biochemistry, rehabilitation, tissue engineering, and sports science, as well as applications in cardiovascular, visual, auditory, and neurological systems.The useful reference text benefits students, scientists, and laymen keen in understanding the fundamental underlying principles of biomedical devices and procedures, along with recent advances in transplant methodology, gene therapy, stem cell research, and sports science.This unique volume provides numerous test questions in selected chapters with answers in the Appendix. Numerous color figures provide additional emphasis and vivacity to the written content.
While the Origin of Life on Earth is explored by modern sciences based both on experimental and observational methods, a new biological principle is adopted in addition to the principles of physics and chemistry. The biosphere is explained by the biodiversity and coexistence amongst countlessly different species reminding us of the Buddha Nature. The book verifies the existence of a platform - dialogues between science and Buddhism - to contemplate these modern aspects of life.In the 2nd century BCE, western Greek philosophy encountered eastern Indian Buddhist philosophy, as captured in a Buddhist text, the Milindapanha (Questions of Milinda), resulting in the Greco-Buddhism, the cultural syncretism between Hellenistic culture and Buddhism. Some two thousand years later, in the modern era, the sciences have revolutionized ancient philosophies, as Buddhism by the philosophy of Emptiness, stimulating various new schools.Many scientists have written about science, and many Buddhists have explained Buddhism, but an in-depth analysis of both fields may be rare. The book reports on a recent project commemorating the founder and Indian monk of Zen Buddhism Bodhidharma. Imagine a Buddhist Eagle, soaring in the sky of Emptiness with both wings spreading out - one of Wisdom and another of Great Compassion - on all countlessly-many sentient beings.
Crisis management is not a new topic in management research and teaching. Every company meets challenges and crisis at some point and being able to deal with them decides whether a business survives. Despite this, crisis management has not yet been a prominent part of the modern business school curriculum. The pandemic has changed that, and how to deal with crisis has become the major question, not only for entrepreneurs and managers, but also for business educators.This book presents 22 case studies of Asian multinational corporations overcoming crisis. The topics do not only deal with the pandemic, but all kind of challenges of modern business and show how companies did overcome or which strategies they have developed to do so. The companies are divided into different industries such as the automotive industry, entertainment or aviation industries.The cases can be used in business and international management classes, but can also be read to learn about modern crisis management strategies.
The COVID-19 pandemic outbreak has affected the entire globe and various countries worldwide have faced educational crises that entailed the re-organization of educational institutions for coping with the complex reality. On the international level, exposure to administrative and pedagogical organization constitutes part of a global culture that allows learning from the experience of other educational institutions. Some of the educational institutions consider the crisis an unprecedented opportunity for the promotion of pedagogical processes. Conversely, others are more cautious and deliberate about the implications of the crisis for social aspects, e.g. social equality and justice, as well as for personal aspects. The proposed book aims to shed light on the way a faculty of education has been organized in this reality of crisis. The anthology of the book chapters enables readers to become aware of generic challenges and ways of coping in compliance with the education programs offered by the faculty.
This volume provides a unified mathematical introduction to stationary time series models and to continuous time stationary stochastic processes. The analysis of these stationary models is carried out in time domain and in frequency domain. It begins with a practical discussion on stationarity, by which practical methods for obtaining stationary data are described. The presented topics are illustrated by numerous examples. Readers will find the following covered in a comprehensive manner:Autoregressive and moving average time series.Important properties such as causality.Autocovariance function and the spectral distribution of these models.Practical topics of time series like filtering and prediction.Basic concepts and definitions on the theory of stochastic processes, such as Wiener measure and process.General types of stochastic processes such as Gaussian, selfsimilar, compound and shot noise processes.Gaussian white noise, Langevin equation and Ornstein-Uhlenbeck process.Important related themes such as mean square properties of stationary processes and mean square integration.Spectral decomposition and spectral theorem of continuous time stationary processes. This central concept is followed by the theory of linear filters and their differential equations.At the end, some selected topics such as stationary random fields, simulation of Gaussian stationary processes, time series for planar directions, large deviations approximations and results of information theory are presented. A detailed appendix containing complementary materials will assist the reader with many technical aspects of the book.
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