Bøger udgivet af WSPC

This book examines global strategies for industrial champions. In particular, it highlights three categories of supply in industrial markets: premium products, low-price products, and complex digital solutions. The authors identify opportunities for creating synergies between these three strategies and address the overarching question: How can the company of the future be organized?

The purpose of this book is to change thinking about crises and risk. Risk management is today both a great success, an impressive achievement, and a notable failure. It works, and it doesn't work. It saves lives and property, and it fails to save lives and property. It helps and it hinders. Like all such management approaches, this has a lot to do with how it is employed and practiced, but in the case of risk management there is also a much more fundamental issue. The risk management framework, the risk management model, is wrong. Many organisations today treat all risks as point events, when the real risks involve systemic threats inherent in the global economy, and the uncertain nature of global society.The book argues that risk management has come a long way, but that evidence of its more recent failure is now all around us and that it needs to now change dramatically if it is to accommodate current realities. Whilst there is a clear need for us all to manage risk through a crisis, there is a lack of understanding of the nature of crises that is impeding progress. As well as providing a conceptual basis for changing the way risk management is undertaken, the book provides a blueprint for managing at organisational level through a global crisis, and, to a more limited extent, at government and other levels; how to prepare, what to do when it's happening and how and when to emerge into the post-crisis world.

The stochastic partial differential equations (SPDEs) arise in many applications of the probability theory. This monograph will focus on two particular (and probably the most known) equations: the stochastic heat equation and the stochastic wave equation.The focus is on the relationship between the solutions to the SPDEs and the fractional Brownian motion (and related processes). An important point of the analysis is the study of the asymptotic behavior of the p-variations of the solutions to the heat or wave equations driven by space-time Gaussian noise or by a Gaussian noise with a non-trivial correlation in space.The book is addressed to public with a reasonable background in probability theory. The idea is to keep it self-contained and avoid using of complex techniques. We also chose to insist on the basic properties of the random noise and to detail the construction of the Wiener integration with respect to them. The intention is to present the proofs complete and detailed.

The team behind Computer Science for Fun (CS4FN), brings you Conjuring with Computation: A Manual of Magic and Computing for Beginners. Develop your skills as a magician while also learning the basics of computer science by exploring its links to magic. Each chapter explains how to do a simple magic trick, step-by-step, then uses the trick to introduce linked fundamental ideas in computer science in a fun way.By reading the book you will learn to do self-working tricks, be able to hold magic shows, create your own versions of tricks, and with creativity even invent your own. We cover:Self-working card tricksMagical jigsaws, boxes and other objectsFalse shuffles and cutsFalse choicesMagic with books and picturesMentalism, clairvoyance and tricks with ghostsMagic built on technologyFind out your friends' superpowers!You will also learn how computation underpins conjuring, answering questions like:What is computation?Why are the skills of a computational thinker, such as decomposition, abstraction and generalisation, so important?Why is data represented in different ways?How is easy-to-use software created?How does maths underpin programming?What are the basics of cyber security and privacy?Why must we all understand how computing technology affects society?The book includes profiles of computer scientists, alongside magicians with links to technology, through history.Master conjuring and thinking computationally.

This book is part of a new generation of work on the events of the 1920s and 1930s, one that provides a gestalt view of this period. As such, the many events that have until now been viewed as unrelated, are viewed as parts of a greater whole, namely the introduction of a new power drive technology in the form of electric unit drive and its effects. The Roaring Twenties, the spectacular growth of the 1920s, the Smoot-Hawley Tariff Act, the Stock Market Boom and Crash, the decline in investment expenditure, the ensuing depression and the National Industrial Recovery Act are all shown to be related.

This book studies smart green innovation through the prism of social entrepreneurship as a driver for sustainable development and the development of an environmental economy. It systematizes and analyzes the modern challenges of the environmental economy: climate change and environmental pollution. The tendencies and scenarios for the environmental economy are considered in the context of implementing the Sustainable Development Goals. Globalization and international trade are also considered factors in the sustainable development of the environmental economy.The book hones in on the international experience of ecological responsibility and fighting climate change through social entrepreneurship. The contribution of corporate responsibility in the fight against climate change is determined, and state regulation of corporate responsibility in the resource-based economies of developing countries is considered. The market mechanisms for stimulating the fight against climate change through social entrepreneurship in countries with developed environmental economies are also considered. The advantages of digitalization for fighting climate change through social entrepreneurship are offered.The book also reflects on the possibilities for the sustainable development of the environmental economy based on climate-smart innovation in social entrepreneurship. It presents a model of climate-smart enterprise and substantiates its advantages for corporate responsibility and sustainable development. The key climate-smart innovations in social entrepreneurship for sustainable development of the environmental economy-robots big data, AI, blockchain, and green finance-are determined. The book also develops policy recommendations to support climate-smart innovation in social entrepreneurship.

The book is devoted to several topical questions in modern mathematical and theoretical physics, astrophysics, geophysics, and cosmology that remain unsolved within the framework of the standard approaches. To them, one can attribute unexplained properties of the magnetic fields of stars and planets, puzzles of the Earth's atmosphere, the phenomenon of ball lightning, the problem of a qualitative description for nuclear forces and their well-known property of saturation, enigmatic properties of spiral galaxies, the problem of the cosmological singularity, mysteries of the dark matter and dark energy, amongst others. To find theoretical ways for understanding such phenomena, new nonlinear generalizations of the classical field theories and advanced methods to solve nonlinear equations arising in them are studied and presented in this book.

The comprehensive compendium furnishes a quick and efficient entry point to many multiresolution techniques and facilitates the transition from an idea into a real project. It focuses on methods combining several soft computing techniques (fuzzy logic, neural networks, genetic algorithms) in a multiresolution framework.Illustrated with numerous vivid examples, this useful volume gives the reader the necessary theoretical background to decide which methods suit his/her needs.New materials and applications for multiresolution analysis are added, including notable research topics such as deep learning, graphs, and network analysis.

The year 2020 was a watershed event in the history of climate change politics. It marked the end of the second commitment period of the Kyoto Protocol and the beginning of the ambitious Paris Agreement. It was also the year of the pandemic, where the disruption caused severe implications on a global scale. The pandemic also brought before the world the severity and scale of the transboundary challenges in a globally interconnected world. It exposed the weaknesses of the global institutions and governance structures in tackling the complex and imminent threat of climate change.As states prepare for the future of global climate change negotiations post the COP26 event of 2021, there has been a significant shift in the politics of climate change at all levels. The negotiations took place in the shadows of the pandemic, which has challenged the political lethargy and non-committal attitudes of states on the climate change question.Unlike in the past, climate change is now a hot issue on the political high tables. It has also spilled outside these negotiating spaces and into the public sphere. Whether it is the school strikes led by children or the indigenous struggles of marginalized populations, the politics of climate change today is far more diverse, representative, and active. At the same time, we can witness the shifts in the state's understanding of the problem, which is actively inquiring about its security and geopolitical dimensions. The boundaries between traditional and non-traditional threats to security are getting blurred as climate change, and its myriad impacts wreak havoc on ecosystem resilience, the state's welfare capacity, and people's everyday lives.Hence, this volume seeks to decipher the nature of global climate change politics in the post-pandemic and climate insecure world. Who will be its main actors, main stakeholders, and losers? How will questions of equity, sustainability, and finance interplay at the COP26 event and thereafter? How will developing and poor countries engage with the issue in the next phase of climate politics? Finally, how will the ambition of the Paris Agreement, which is reflected in the language of net-zero targets and the two degrees Celsius temperature goals, be brought into action?

The fragment molecular orbital (FMO) method is a fast linear-scaling quantum-mechanical method employed by chemists and physicists all over the world. It provides a wealth of properties of fragments from quantum-chemical calculations, a bottomless treasure pit for data mining and machine learning. However, there is no user-friendly description of its usage in the widely employed quantum-chemical open-source software GAMESS, nor is there any book covering the usage of GAMESS in general. This leaves very many interested users to their own devices to get through a variety of problems with very cryptic descriptions of keywords in the program manual and no guide whatsoever as to what options should be set for particular scientific tasks. This book is the panacea to many frustrations.The main focus of the book is to build a solid bridge connecting FMO users to GAMESS, by giving a helpful introduction of various FMO methods as needed for particular problems found in computational chemistry, and describing in detail how to do these simulations and understand the results from the output of the program. The book also covers parallelization strategies for attaining high parallel efficiency in massively parallel computations, and provides means to analyze performance and design a solution for overcoming performance bottlenecks. A special section is devoted to dealing with problems in executing GAMESS, arising from computational environment and user errors. Finally, 14 carefully selected types of applications are discussed in detail, describing the input keywords and explaining where to find the main results in the text-based output.

A recent development is the discovery that simple systems of equations can have chaotic solutions in which small changes in initial conditions have a large effect on the outcome, rendering the corresponding experiments effectively irreproducible and unpredictable. An earlier book in this sequence, Elegant Chaos: Algebraically Simple Chaotic Flows provided several hundred examples of such systems, nearly all of which are purely mathematical without any obvious connection with actual physical processes and with very limited discussion and analysis.In this book, we focus on a much smaller subset of such models, chosen because they simulate some common or important physical phenomenon, usually involving the motion of a limited number of point-like particles, and we discuss these models in much greater detail. As with the earlier book, the chosen models are the mathematically simplest formulations that exhibit the phenomena of interest, and thus they are what we consider 'elegant.'Elegant models, stripped of unnecessary detail while maximizing clarity, beauty, and simplicity, occupy common ground bordering both real-world modeling and aesthetic mathematical analyses. A computational search led one of us (JCS) to the same set of differential equations previously used by the other (WGH) to connect the classical dynamics of Newton and Hamilton to macroscopic thermodynamics. This joint book displays and explores dozens of such relatively simple models meeting the criteria of elegance, taste, and beauty in structure, style, and consequence.This book should be of interest to students and researchers who enjoy simulating and studying complex particle motions with unusual dynamical behaviors. The book assumes only an elementary knowledge of calculus. The systems are initial-value iterated maps and ordinary differential equations but they must be solved numerically. Thus for readers a formal differential equations course is not at all necessary, of little value and limited use.

Professor Xihua Cao (1920-2005) was a leading scholar at East China Normal University (ECNU) and a famous algebraist in China. His contribution to the Chinese academic circle is particularly the formation of a world-renowned "ECNU School" in algebra, covering research areas include algebraic groups, quantum groups, algebraic geometry, Lie algebra, algebraic number theory, representation theory and other hot fields. In January 2020, in order to commemorate Professor Xihua Cao's centenary birthday, East China Normal University held a three-day academic conference. Scholars at home and abroad gave dedications or delivered lectures in the conference. This volume originates from the memorial conference, collecting the dedications of scholars, reminiscences of family members, and 16 academic articles written based on the lectures in the conference, covering a wide range of research hot topics in algebra. The book shows not only scholars' respect and memory for Professor Xihua Cao, but also the research achievements of Chinese scholars at home and abroad.

The clinical use of Artificial Intelligence (AI) in radiation oncology is in its infancy. However, it is certain that AI is capable of making radiation oncology more precise and personalized with improved outcomes. Radiation oncology deploys an array of state-of-the-art technologies for imaging, treatment, planning, simulation, targeting, and quality assurance while managing the massive amount of data involving therapists, dosimetrists, physicists, nurses, technologists, and managers. AI consists of many powerful tools which can process a huge amount of inter-related data to improve accuracy, productivity, and automation in complex operations such as radiation oncology.This book offers an array of AI scientific concepts, and AI technology tools with selected examples of current applications to serve as a one-stop AI resource for the radiation oncology community. The clinical adoption, beyond research, will require ethical considerations and a framework for an overall assessment of AI as a set of powerful tools.30 renowned experts contributed to sixteen chapters organized into six sections: Define the Future, Strategy, AI Tools, AI Applications, and Assessment and Outcomes. The future is defined from a clinical and a technical perspective and the strategy discusses lessons learned from radiology experience in AI and the role of open access data to enhance the performance of AI tools. The AI tools include radiomics, segmentation, knowledge representation, and natural language processing. The AI applications discuss knowledge-based treatment planning and automation, AI-based treatment planning, prediction of radiotherapy toxicity, radiomics in cancer prognostication and treatment response, and the use of AI for mitigation of error propagation. The sixth section elucidates two critical issues in the clinical adoption: ethical issues and the evaluation of AI as a transformative technology.