Bøger udgivet af Springer International Publishing AG

The core aspects of modern complex system sciences are presented in the first chapters, covering network theory, dynamical systems, bifurcation and catastrophe theory, chaos and adaptive processes, together with the principle of self-organization in reaction-diffusion systems and social animals.

The course provides fundamental definitions of radiative processes and serves as a brief introduction to Bremsstrahlung and black body emission, relativistic beaming, synchrotron emission and absorption, Compton scattering, synchrotron self-compton emission, pair creation and emission.

sections in the books on Writing,Presentations, Correspondence and Interacting on Campus. Adrian Wallwork has written over 30 books covering General English (Cambridge University Press, Scholastic), Business English (Oxford University Press), and Scientific English (Springer).

Internationally, marginalized populations, including indigenous people, refugees fleeing both war and the effects of climate change and people-of-color, have borne a disproportionate share of serious COVID 19 illnesses and deaths. Each contributor has a background in public health, applied psychology, and international issues, bringing a unique perspective and a valuable lens through which to view these issues. Additionally, the authors are members of the COVID-19 Ethics and Legal Issues Task Force within Division 52 (International Psychology) of the American Psychological Association. The task force has spent the last two years describing how COVID-19 has highlighted pre-existing health disparities within the U.S. and internationally. The topics investigated include strategies to manage the pandemic employed by governments in various countries as well as models of medical ethics guiding healthcare decision-making.

This book is about all things consciousness, great and small. It starts by pointing to the key characteristic of consciousness, without realizing which it cannot be understood: like everything else about the mind, it is fundamentally a kind of computation. Among many other matters, this explains: how it is that we share some aspects of consciousness with bacteria; how it can arise in artificial machines and not just living ones; how the empty cocoon of the self that it spins ends up pretending to be the butterfly; and how consciousness dooms this virtual butterfly to the splendor and the suffering of being awake and aware. Unlike most other books on consciousness, this one includes a discussion of some possible ways whereby we, pinned like butterflies by our species¿ history and socioeconomic circumstances, can awake to our collective predicament and join forces to do something about it. It should be of interest to all readers who care about the nature of our lived experience ¿ andabout our survival, which depends on developing critical consciousness of our dire situation and the social dynamics that shape it.

This open access book offers a comprehensive overview of available techniques and approaches to explore large social media corpora, using as an illustrative case study the Coronavirus Twitter corpus. First, the author describes in detail a number of methods, strategies, and tools that can be used to access, manage, and explore large Twitter/X corpora, including both user-friendly applications and more advanced methods that involve the use of data management skills and custom programming scripts. He goes on to show how these tools and methods are applied to explore one of the largest Twitter datasets on the COVID-19 pandemic publicly released, covering the two years when the pandemic had the strongest impact on society. Specifically, keyword extraction, topic modelling, sentiment analysis, and hashtag analysis methods are described, contrasted, and applied to extract information from the Coronavirus Twitter Corpus. The book will be of interest to students and researchers in fields that make use of big data to address societal and linguistic concerns, including corpus linguistics, sociology, psychology, and economics.

The objective of this book is to present the strategies employed by living organisms on a molecular level and to help understand the basics of Systems Biology. The book describes generic mechanisms which occur in biology and promotes a simulation-based approach to the subject of Systems Biology.

This book presents a novel approach to the classical scientific discipline of Structural Engineering, which is inspired by numerous current applications from domains of Civil, Mechanical or Aerospace Engineering. The main goal of this book is to help with making the best choice between accuracy and efficiency, when it comes to building the most suitable structural models by practising engineers using modern computational tools available in commercial software products (SAP, FEAP, ANSYS ¿) for which we have carried out many developments that have been become the main reference in the field. Any development of this kind is not a mere modification of discrete approximation, but a thorough treatment with a sound theoretical formulation based upon Hu-Washizu variational principle with independent rotation field, its corresponding regularization and finally the most appropriate finite element interpolation that can match those used for structural elements. Proposed approach allows us to provide a unified discrete approximation of complex structural assemblies and greatly simplify the modeling task for structural engineers. Thus, in conclusion, this book can also be perceived as the theoretical manual for using modern computer models successfully by practising engineers.

This book identifies police leaders who have stood out and chalked a path that has transformed their organizations. It describes these thinkers, who look deep into the challenges of policing and comment critically upon various responses and actions.Featuring profiles of police leaders from various countries, this book features officers with an aptitude for learning, presenting the situations they have confronted and the methods they have adopted to change systems and usher reforms. It identifies the characteristics of thinking police officers, and suggests the ways in which the serious policing challenges of modern times can be addressed by creative and outside the box thinking by leadership.Appropriate for students of criminal justice and policing, for researchers studying law enforcement and for practitioners discussing policing reform, this book will initiate a new debate about the nature and possibilities of building new police for the 21st century.

This book explores a most central phenomenon in our contemporary businesses and organization, the growing complexity in business. Economic growth and growth of complexity always have been inseparable, but the last decennia the growth of complexity appears to outrun our growth of knowledge and understanding. For success and continuity, the modern firm in the developing complexity of its markets and societal contexts must have the capacity to master and exploit a commensurate level of complexity in its internal organization. This book is the first of its kind to help the reader to understand the different types of complexity and the different concepts and tools to deal with each of them in business administration, strategy, and organization. This book offers the reader a fresh perspective on conventional concepts and tools in the field of business administration and bridges these to new concepts as are being used to exploit new complexities. In the process, the reader becomes familiar with the rich cybernetic concept of information, as a basis for the information-based organization and to master big data. With that complex decision-making is clarified and a fresh understanding of the core function of the organization, coordination, is offered for those who want to solve the issue of self-coordination. The book provides working examples but even more the strongest tool to master and to reduce complexity: a deeper and broader understanding of what is going on beneath the surface of what we experience daily. This book builds on Herbert Simon¿s hypothesis of simplicity: ¿to use the simplicity of process to deal with the complexity of state.¿

This book, part of the European Society of Intensive Care Medicine (ESICM) textbook series, is a graphical, dense and concise text describing fundamental theoretical concepts needed for doctors and other professionals new to the field of Intensive Care Medicine.The book serves two main purposes: as study material for any junior doctor, nurse or other allied healthcare professional who is time-pressured and wants to quickly learn the essentials; and as a course volume of new ESICM educational initiative called Intensive Care Fundamentals(c). The overarching goal of this initiative is to offer standardised high-quality introductory education to all starters in intensive care. There are two key elements of this initiative: the book, which is the prerequisite reading for attending the two day face-to-face course and the materials, registration of candidate and training and certifying the trainers that will be provided by ESICM.

This book examines intellectual property (IP) as an important value driver for start-ups. Businesses of all sizes are inevitably confronted with intellectual property issues at some point, but start-ups and their collaborators face unique challenges and opportunities in IP management. Identifying, generating, and exploiting intellectual property can lead to sustainable competitive advantages and avoidance of risks. Many start-ups sense the complexity of IP management and therefore place their energy elsewhere. However, the clear conclusion to be drawn from this unique collection of contributions is that putting an IP management strategy in place is critical to the successful development of a business. Prof. Dr. Martin A. Bader and Prof. Dr. Sevim Süzerölu-Melchiors have years of experience as consultants, entrepreneurs, business owners, and researchers where they saw firsthand the need for a comprehensive yet practical resource for start-ups and their key stakeholders.This book explores different perspectives in dealing with IP from six different angles: the start-up's view, the investor's view, the corporation's view, the university's view, the global IP office's view, and the advisor's view. Each section consists of chapters written by leading experts from around the globe including Silicon Valley, Canada, Israel, Switzerland, Germany, Finland, France, Australia, Brazil, India, Japan, Singapore, and South Africa. Contributors bring practical experience from a wide range of sectors, such as information and communication technology, software, artificial intelligence, machine learning, cybersecurity, industrial automation, internet of things, life sciences, pharma, crop science, biotech, medtech, mining, sustainability, climate tech, and even quantum technologies. This timely publication serves as a guidebook for entrepreneurs and other key stakeholders in the start-up ecosystem. It empowers founders to develop their own IP management strategy to mitigate risk, create and capture value, and lay the groundwork for sustainable growth. An essential reference for start-ups to achieve business excellence."This edited book volume offers valuable insights, bringing together perspectives of key stakeholder groups from a wide variety of innovation ecosystems - an invaluable resource." -Carsten Fink, Chief Economist, World Intellectual Property Organization, Geneva"A timely book for those wanting a clear overview of the issues the different players encounter in the start-up ecosystem. A useful resource indeed. Congratulations to the editors and team."-Audrey Yap, Managing Partner YUSARN AUDREY LLC, Past President LESI, Chairman Singapore Innovation & Productivity Institute, Singapore"A 'must read' for all innovators in the start-up world. It is truly a fantastic book and one I would recommend being bought and read (in full)!"-Laurence Freeman, Professor (Adjunct), CU Denver Business School, Jake Jabs Center for Entrepreneurship, Denver, Colorado, United States

This textbook offers a comprehensive coverage of the fundamentals of calculus, linear algebra and analytic geometry. Intended for bachelor¿s students in science, engineering, architecture, economics, the presentation is self-contained, and supported by numerous graphs, to facilitate visualization and also to stimulate readers¿ intuition. The proofs of the theorems are rigorous, yet presented in straightforward and comprehensive way. With a good balance between algebra, geometry and analysis, this book guides readers to apply the theory to solve differential equations. Many problems and solved exercises are included.Students are expected to gain a solid background and a versatile attitude towards calculus, algebra and geometry, which can be later used to acquire new skills in more advanced scientific disciplines, such as bioinformatics, process engineering, and finance. At the same time, instructors are provided with extensive information and inspiration for the preparation of their own courses.

The global challenges confronting us ¿ climate change, poverty, inequality, and many others ¿ can feel overwhelming. Those of us who believe in market-based solutions to these challenges get even more disheartened when we regularly see our existing capitalist system failing us, often causing more harm than good. Many examples show how the capitalist tools of finance and investment can and make real, positive impact. Approaches like blended finance and impact investing can help accelerate progress against the world¿s biggest remaining collective challenges. Yet use of these improved capitalist approaches remains far too subscale. Blended finance and impact investing remain 15 to 200 times smaller than traditional approaches to finance and investment. How can we continue to make capitalism work better by scaling these approaches and others? This book looks at how we can start making these necessary changes using strategies, structures, and practices that take advantage of capitalism's strengths. Its goal is to demonstrate how a reimagined financial system can be more inclusive and accountable to all. By shifting away from extractive, short-term practices in the name of shareholder primacy, we can move toward a system that values the role of all stakeholders.

Written by dedicated and active professionals from different areas of the pharmaceutical, biomedical, and medtech sectors, this book provides information on job and career opportunities in various life sciences industries. It also contains useful tips to launch your own startup. The pharmaceutical, biomedical and medical technology sectors offer a wide range of employment opportunities to talented and motivated young graduates. However, many of these employment prospects are not well known to early career scientists, who concentrate primarily on the scientific and academic content of their fields of interest.The book is divided into five parts: Part 1 provides an academic perspective that focuses on the specific preparation required in the final years of study to embark on a successful career in the pharmaceutical and biomedical industries. In Part 2, industry experts discuss employment possibilities all along the drug or product life cycle, from discovery research and development to commercialisation. Part 3 follows, highlighting opportunities in support functions such as regulatory affairs or quality assurance. Part 4 focuses on additional opportunities in the wider biomedical sector, while Part 5 contains practical tips and training opportunities for entering the pharmaceutical and biomedical industries. In the epilogue, the authors reflect on this fascinating field and its career prospects.The book offers a multidisciplinary perspective on career opportunities in the pharmaceutical and biomedical industry to a wide range of students and young life scientists.

Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence.Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence.The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Introductory courses in combinatorial optimization are popular at the upper undergraduate/graduate levels in computer science, industrial engineering, and business management/OR, owed to its wide applications in these fields. There are several published textbooks that treat this course and the authors have used many of them in their own teaching experiences. This present text fills a gap and is organized with a stress on methodology and relevant content, providing a step-by-step approach for the student to become proficient in solving combinatorial optimization problems. Applications and problems are considered via recent technology developments including wireless communication, cloud computing, social networks, and machine learning, to name several, and the reader is led to the frontiers of combinatorial optimization. Each chapter presents common problems, such as minimum spanning tree, shortest path, maximum matching, network flow, set-cover, as well as key algorithms, such as greedy algorithm, dynamic programming, augmenting path, and divide-and-conquer. Historical notes, ample exercises in every chapter, strategically placed graphics, and an extensive bibliography are amongst the gems of this textbook.

This Open Access book presents an in-depth portrait of the use and impact of digital technologies by learners ages 5-18 years in their everyday lives. The portrait is framed by the ecological-systems theory and situated across four domains: home, leisure time, education, and civic participation. Various methodological approaches are used in innovative ways to analyze data collected in a large-scale EU Horizon 2020 project. The purpose of this edited collection is to shed light on both beneficial and harmful effects of digital technology from a perspective that children are active agents who are empowered to accentuate the positives of digital technology use and over common challenges that inhibit digital competence with support from education stakeholders.This is an open access book.

This open access edited book investigates European social rights in practice from socio-legal perspectives. It brings together fourteen socio-legal scholars, representing Nordic and Western European countries, who analyse different aspects pertaining to European social rights, namely the regulation of social rights, encounters between welfare professionals and citizens, and citizens¿ mobilisation of social rights. These three different aspects from the structure for the sections in the anthology, each analysing transformations related to regulation, encounters and rights mobilisation. The book contributes to the existing literature as it focuses on interdependent transformations on macro, meso and micro levels which are key for understanding processes and contexts related to European social rights in practice. It speaks particularly to academics in sociology of law and/or regulation.

This third volume of Analysis in Banach Spaces offers a systematic treatment of Banach space-valued singular integrals, Fourier transforms, and function spaces. It further develops and ramifies the theory of functional calculus from Volume II and describes applications of these new notions and tools to the problem of maximal regularity of evolution equations. The exposition provides a unified treatment of a large body of results, much of which has previously only been available in the form of research papers. Some of the more classical topics are presented in a novel way using modern techniques amenable to a vector-valued treatment. Thanks to its accessible style with complete and detailed proofs, this book will be an invaluable reference for researchers interested in functional analysis, harmonic analysis, and the operator-theoretic approach to deterministic and stochastic evolution equations.

This text covers all of the artificial intelligence, deep learning, and data science topics relevant to materials science and engineering, accompanied by numerous examples and applications. The book begins with a concise introduction to statistics and probabilities, explaining important concepts and definitions such as probability functions and distributions, sampling and data preparation, Bayes¿ theorem, and statistical significance testing in the context of materials science. As such it is a useful introduction for both undergraduate and graduate students as well as a refresher for research scientists and practicing engineers. The second part is a detailed description of (statistical) machine learning and deep learning. It considers a range of supervised and unsupervised methods including multi-output regression, random forests, time series prediction, and clustering as well as a number of different deep learning networks such as convolutional neural networks, auto-encoder, or generative adversarial networks. The degree of detail and theory is such that all methods can be understood and critically discussed, and it is reinforced by extensive examples within materials science and engineering. The final part considers six complex applications and advanced topics of machine learning and data mining in materials science and engineering. A comprehensive appendix is included, summarizing the most important statistical and mathematical techniques.Introduces machine learning/deep learning methods in detail based on examples and data from materials science;Covers all theoretical foundations in an accessible manner, tailored to materials scientists and engineers;Maximizes intuitive understanding with materials science and physics examples, coding exercises, and online material.