Books published by Springer Nature Switzerland AG

This 2-volume set CCIS 2387 + 2388 constitutes the proceedings of the Second International Conference on Applied Intelligence, ICAI 2024, held in Zhengzhou, China, during November 22-25, 2024. The 72 full papers presented in this proceedings were carefully reviewed and selected from 228 submissions.

This book highlights the state of the art of machine learning applied to the science of gravitational waves. The main topics of the book range from the search for astrophysical gravitational wave signals to noise suppression techniques and control systems using machine learning-based algorithms. During the four years of work in the COST Action CA17137-A network for Gravitational Waves, Geophysics and Machine Learning (G2net), the collaboration produced several original publications as well as tutorials and lectures in the training schools we organized. The book encapsulates the immense amount of finding and achievements.It is a timely reference for young researchers approaching the analysis of data from gravitational wave experiments, with alternative approaches based on the use of artificial intelligence techniques.

This book extensively investigates the dynamic relationship between information technology and societal transformation. The book explores a range of applied IT uses, ranging from educational technology to the complex applications of cybersecurity, the promise of blockchain technologies, e-commerce and rural development, and social media and its applications in political activism.Investigating key topics in social development and the role information technology plays in elevating our lives, the book navigates this ever-changing landscape of technological innovation to determine how it can be a source for good and improve our lives by driving positive social change.While focusing on the practical application of technology to real-world situations, examples, and cases, the book primarily focuses on educational development, entrepreneurship, sociopolitical transformation, and the security and defence of society. Collectively, these explorations serve to better highlight how technology can be harnessed in the creation of a more inclusive and equitable society. Hence, the book will be a useful read for students, academics, policymakers, business and social investors.

This open access book provides cutting-edge work on machine learning in sports analytics, emphasizing the integration of computer vision, data analytics, and machine learning to redefine strategic sports analysis. This book not only covers the essential methodologies of capturing and analyzing real sports data but also pioneers the integration of real-world analytics with digital modeling, advancing the field toward sophisticated digital modeling in sports.Through a seamless blend of theoretical frameworks and practical applications, the book illustrates how these integrated technologies can be utilized to predict, evaluate, and suggest next plays in sports. By leveraging the power of machine learning, the book presents cutting-edge approaches to sports analytics, where data from actual games is enhanced with predictive simulations for strategic planning and decision-making. The use of digital modeling in sports opens up new dimensions of interaction between the physical play and its digital analysis, offering a comprehensive understanding that was previously unattainable.This book is an essential read for postgraduates, researchers, and technologists, who are interested in sports analysts. The book consists of five parts: Part I, which comprises a single chapter exploring the fundamentals and scope of learning-based sports analytics; Parts II, III, IV, and V review the various aspects of this field, including data acquisition with computer vision, predictive analysis and play evaluation with machine learning, potential play evaluation with learning-based agent modeling, and future perspectives and ecosystems on the field. This structure provides a comprehensive overview that will engage and inform researchers and practitioners interested in the intersection of analytical research and cutting-edge technology in sports.

"This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, in August 2024" to "This book constitutes the refereed proceedings of the 12th CCF Conference on BigData 2024, which took place in Qingdao, China, during 9-11 August, 2024. The 26 full papers presented in this volume were carefully reviewed and selected from 219 submissions. The topics of accepted papers include Big data, Data Science, System Architecture and Infrastructure, Storage Management, Parallel Computing, Analysis Mining and Intelligent Computing, Collection and Preprocessing, Governance.

This open access book presents insights on the resiliency strategies of at-risk vocational education and training (VET) students in the field of learning, employment and social integration, in the Baltic countries and Norway. It investigates the ways in which vocational education and training (VET) can enhance the social inclusion of young people at-risk, both in terms of combating school dropout rates, and promoting transitions between various (social) learning contexts, such as school-work transition. Book presents the findings of the analysis of available statistical data disclosing the capacities and potential of the VET systems and providers to empower vulnerable learners in the project partner countries. In the context of VET, this book examines the situations of at-risk young people as they experience, and understand themselves, in it, and explores innovative solutions to address their challenges in collaboration between themselves, their teachers, and other community actors and stakeholders. Finally, it analyses and discusses the innovative pedagogical interventions used in empowering at-risk VET students as implemented in the research project 'EmpowerVET', on the basis of the Educational Learning Lab model developed by researchers from the University of Tallinn School of Educational Sciences.

This book details an individualised approach to teaching traumatised students. While being trauma informed is an approach gaining interest in the field of education, frameworks that can respond to the individual nature of traumatic experience and explicitly describe responses that open pathways for learning remain a gap in the literature. This book describes a three-phase pedagogical framework to develop the relational and self-regulatory capacity of the student as a prerequisite for learning. It presents a staged approach which directs deep analysis and in-depth understanding of the impact of trauma for each student in their own school and classroom context. This book takes teachers through a step-by-step process which draws on current neuroscience and educator experience, to design intervention strategies that mitigate the impact of early childhood trauma on learning.

This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e¿cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions e¿ectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another signi¿cant application is in multi-language Sentiment Analysis, where the model analyzes text in ¿ve languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, öering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and e¿cient hardware design through CA's regular, modular, and scalable structure.

This is an invaluable book that presents the original work published in French, in 1904, by Henry Leon Lebesgue, the creator of the theory of integration. Translated into English for the first time, the book offers readers a unique opportunity to explore Lebesgue's groundbreaking ideas and delves into the mind of one of the greatest mathematicians in history. The book provides historical context and explanations that enhance readers' comprehension and appreciation of the material. Covering a wide range of topics, from the integration before Riemann to the search for primitive functions, it offers a comprehensive understanding of Lebesgue's theories and their significance in the field of mathematics. It inspires readers to explore further in the field, stimulates new ideas, and opens avenues for future research. The book bridges the gap between theory and practice by providing examples and applications that contributed to the development of Lebesgue integration theory.The book serves as a valuable resource for courses in analysis, measure theory, and Lebesgue integration theory, providing students with the opportunity to study the original work of Lebesgue and deepen their understanding of integration theory. It is meant for a broad audience, including advanced undergraduate and graduate students, mathematics scholars, researchers, educators, and enthusiasts, seeking a comprehensive understanding of Lebesgue's theories and the historical development of integration theory. Mathematicians and researchers will find this book essential for its historical significance and the preservation of important mathematical literature.

This book is aimed at postgraduate and Ph.D. students specializing in condensed matter physics, quantum mechanics, and the theory of relativity. It explores fundamental problems in physics that can be addressed in the mesoscopic regime. Some of the key topics covered include:a) The state of a tunneling particle under a barrierb) A local description of the state of a quantum particlec) Reality of time travel leading to reconciliation of the classical and quantum lawsThe book also sets the stage for developing an alternative description of quantum mechanics and how scattering phase shift can be used to probe local density of states. It highlights essential differences from traditional statistical mechanics and discusses the potential applications and future technologies stemming from breakthroughs in basic science, which will be of interest to researchers.

This book provides a concise yet comprehensive introduction to generative artificial intelligence.The first part explains the foundational technologies and architectures that support the realization of generative models. It covers evolved and deepened elements, word embeddings as a representative example of representation learning, and the Transformer as a network foundation, along with its underlying attention mechanism. Reinforcement learning, which became essential for elevating large-scale language models to language generation models, is also discussed in detail, focusing on essential aspects.The second part deals with language generation. It starts by elucidating language modelsand introduces large-scale language models with broad applications as the foundational architecture of language processing, further discussing language generation models as their evolution. Though not common terminology, in this book, models such as ChatGPT and Llama 2, which are large-scale language models fine-tuned using reinforcement learning, are referred to as generative language models.The third part addresses image generation, discussing variational autoencoders and the remarkable diffusion models. Additionally, it explains Generative Adversarial Networks(GAN). Although GAN poses challenges due to unstable learning, their conceptual framework is widely applicable, especially Wasserstein GAN seems suitable for introducing optimal trans- port distance, which is utilized in various scenarios.This book primarily serves as a companion for researchers or graduate students in machine learning, aiming to help them understand the essence of generative AI and lay the groundwork for advancing their own research.

This book is a continuation of our recently published book "Algebraic formalization of smart systems. Maltsev's theory of algebraic systems and the theory of fractals developed by Benoit Mandelbrot, to investigate smart systems in more detail.

In this book, the authors, as policy analysts, examine the overall context and dynamics of modern medicine, focusing on the changing conditions of medical practice through the lens of corporatization of medicine, physician unionization, physician strikes, and current health policy directions. Conditions affecting the American medical profession have been dramatically altered by the continuing crises of cost increases, quality concerns, and lack of access facing our population, along with the ongoing corporatization toward bottom-line dictates. Pressures on practitioners have been intensifying with much greater scrutiny over their clinical decision-making. Topics explored among the chapters include:History of the Corporatization of American Medicine: The Market Paradigm ReignsPharmaceuticals, Hospitals, Nursing Homes, Drug Store Chains, and Pharmacy Benefit Manager/Insurer IntegrationMedical Practice: From CottageIndustry to Corporate PracticeMedical Malpractice Crisis: Oversight of the Practice of MedicineBig Data: Information Technology as Control over the Profession of MedicinePhysician Employment Status: Collective Bargaining and StrikesThe Corporatization of American Health Care offers different perspectives with the hopes that physicians will unite in a new awareness and common cause to curtail excessive profit-making, renew professional altruism, restore the charitable impulse to health provider institutions, and unite with other professionals to truly raise levels of population health and the quality of health care. It is also a necessary resource for health policy analysts, healthcare administrators, health law attorneys, and other associated health professions.

Every global crisis highlights the strategic importance of industrial and non-profit supply chains for society. In terms of coping with unforeseen and unpredictable events, supply chain resilience enables the parties and networks involved to stay successful during and after the disruption. Furthermore, a resilient supply chain contributes to the sustainable competitive advantage of the entire value chain.Written by scholars and practitioners alike, this book not only puts forward a new framework for resilience in supply chain management, but also presents best practice cases from various areas and industries. As a particular highlight, it includes a Delphi study that gathers state-of-the-art insights from supply chain leaders.In addition to practical approaches, methods and tools, the book also offers food for thought on the future of supply chain resilience. As such, it offers a valuable resource for current and future managers in the public and private sector, as well as researchers and students engaged in this field.

This fully revised and expanded 2nd edition provides a single authoritative resource describing the concepts of color and the application of color science across research and industry. Significant changes for the 2nd edition include: New and expanded sections on color engineeringMore entries on fundamental concepts of color science and color termsMany additional entries on specific materialsFurther material on optical concepts and human visual perceptionAdditional articles on organisations, tools and systems relevant to colorA new set of entries on 3D presentation of color In addition, many of the existing entries have been revised and updated to ensure that the content of the encyclopedia is current and represents the state of the art. The work covers the full gamut of color: the fundamentals of color science; the physics and chemistry; color as it relates to optical phenomena and the human visual system; and colorants and materials. The measurement of color is described through entries on colorimetry, color spaces, color difference metrics, color appearance models, color order systems and cognitive color. The encyclopedia also has extensive coverage of applications throughout industry, including color imaging, color capture, display and printing, and descriptions of color encodings, color management, processing color and applications relating to color synthesis for computer graphics are included. The broad scope of the work is illustrated through entries on color in art conservation, color and architecture, color and education, color and culture, and biographies of some of the key figures involved in color research throughout history. With over 250 entries from color science researchers across academia and industry, this expanded 2nd edition of the Encyclopedia of Color Science and Technology remains the most important single resource in color science.

This eighth volume of Imagine Math is different from all the previous ones. The reason is very clear: in the last two years, the world changed, and we still do not know what the world of tomorrow will look like. Difficult to make predictions. This volume has a subtitle Dreaming Venice. Venice, the dream city of dreams, that miraculous image of a city on water that resisted for hundreds of years, has become in the last two years truly unreachable. Many things tie this book to the previous ones. Once again, this volume also starts like Imagine Math 7, with a homage to the Italian artist Mimmo Paladino who created exclusively for the Imagine Math 8 volume a new series of ten original and unique works of art dedicated to Piero della Francesca. Many artists, art historians, designers and musicians are involved in the new book, including Linda D. Henderson and Marco Pierini, Claudio Ambrosini and Davide Amodio. Space also for comics and mathematics in a Disney key. Many applications, from Origami to mathematical models for world hunger. Particular attention to classical and modern architecture, with Tullia Iori.As usual, the topics are treated in a way that is rigorous but captivating, detailed and full of evocations. This is an all-embracing look at the world of mathematics and culture.

This new edition of the classic textbook on health informatics provides readers in healthcare practice and educational settings with an unparalleled depth of information on using informatics methods and tools. However, this new text speaks to nurses and ¿ in a departure from earlier editions of this title ¿ to all health professionals in direct patient care, regardless of their specialty, extending its usefulness as a textbook. This includes physicians, therapists, pharmacists, dieticians and many others. In recognition of the evolving digital environments in all healthcare settings and of interprofessional teams, the book is designed for a wide spectrum of healthcare professions including quality officers, health information managers, administrators and executives, as well as health information technology professionals such as engineers and computer scientists in health care. The book is of special interest to those who bridge the technical and caring domain, particularly nurse and medical informaticians and other informaticians working in the health sciences.Nursing Informatics: An Interprofessional and Global Perspective contains real-life case studies and other didactic features to illustrate the theories and principles discussed, making it an ideal resource for use within health and nursing informatics curricula at both undergraduate and graduate level, as well as for workforce development. It honors the format established by the previous editions by including a content array and questions to guide the reader. Readers are invited to look out of the box through a dedicated global perspective covering health informatics applications in different regions, countries and continents.

This book examines human resource development (HRD) strategy as a learning process, connecting learning and adult development with organizational development and change, and talent development, with a particular focus on the use of artificial intelligence (AI). It provides professionals and practitioners as well as students with processes and tools that will help them meet the needs of employees and the organization. It takes a scholar-practitioner perspective connecting theory with practice. HRD has evolved into a mature field of scholarship in recent decades. At the same time, practices of learning and development in organizations continues to evolve dramatically. At the individual, developmental, and organizational levels, workers, managers, and executives have to be continually learning from current and emerging trends in order to strategically reposition themselves for performance and future possibilities. This includes developing the competencies to navigate the complexities of a world in which people are interacting with ¿smart¿ digital technologies that are broadly grouped together under the umbrella term artificial intelligence (AI). Featuring specific strategic learning methods and case studies from senior HRD professionals, this book is a valuable resource for managers, practitioners, students, scholars and others interested in strategic HRD practice.

In a time of unprecedented economic uncertainty, this book provides empirical guidance to the economy and what to expect in the near and distant future. Beginning with a historic look at major contributions to economic indicators and business cycles starting with Wesley Clair Mitchell (1913) to Burns and Mitchell (1946), to Moore (1961) and Zarnowitz (1992), this book explores time series forecasting and economic cycles, which are currently maintained and enhanced by The Conference Board. Given their highly statistically significant relationship with GDP and the unemployment rate, these relationships are particularly useful for practitioners to help predict business cycles.

This book reveals a variety of issues facing entrepreneurs, SMEs, and entrepreneurship development across South America. The authors recognize that when it comes to entrepreneurship, not one size fits all. Therefore, this book has been designed to help business students understand the context of the enterprise. It highlights how countries differ in their scope of entrepreneurship, and how entrepreneurs are impacted by these differences. Each chapter is dedicated to a respective country and describes the status quo, challenges and prospects for entrepreneurship there. Specifically, the book helps students understand the nature of entrepreneurship in Argentina, Bolivia, Chile, Colombia, Ecuador, French Guiana, Guyana, Paraguay, Peru, Surinam, Uruguay and Venezuela.

The only curative treatment currently available for chronic thromboembolic pulmonary hypertension (CTEPH) is surgical pulmonary endoarterectomy (PEA). However, several patients may have high risk factors for surgery, or a peripheral disease not amenable to surgical treatment; or else a residual pulmonary hypertension after PEA. Balloon pulmonary angioplasty (BPA) was recently developed to offer an alternative treatment for these patients. Extensive data has since confirmed the efficacy and relative safety of this procedure. However, there are several technical issues that have yet to be resolved. In addition, many cardiologists and pneumologists still know very little about the procedure itself and its potential.Exploring the clinical indications and technical aspects of BPA, this book offers a valuable reference guide for all those who would like to introduce or improve a BPA program, and for all those whose work involves treating this complex patient population.