Böcker utgivna av Springer Nature Switzerland AG

This book is a theoretical and pragmatic tool that applies mathematical modelling in understanding and managing diabetes and related complications such as diabetes predisposition, diabetes onset, regular glycaemic monitoring, glycated haemoglobin HbA1c, diabetes homeostasis, gestational diabetes and other associated diseases and conditions. Chapters in the book provide mathematical models dealing with the dynamics of insulin/glucose, the evolution from pre-diabetes to diabetes without and with complications, gestational diabetes and the association between diabetes and benign prostatic hyperplasia. It also applies new methods such as data mining, machine learning and deep learning. By offering pragmatic examples and comprehensive reviews on mathematical models used for diabetes, this book is useful for advanced researchers, academic teachers, students, scientists and high pharmaceutical industry executives willing to start modelling.

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 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 explores the evolving landscape of global political economy amidst a shifting global order, ushered in by the impacts of the COVID-19 pandemic, geopolitical conflicts in Ukraine and Gaza, and rising trade and political disputes between the US, China and the EU, leading to a rise in protectionist policies and disruptions in global supply chains leading to high inflation, and energy and food crises.Focusing on the relations between the European Union and the Indo-Pacific region, this book examines how recent protectionist policies are reshaping economic security and cooperation between the two actors.

Head and neck anatomy is a complex area and densely populated by critical structures. Surgical complications after head and neck surgery are associated with significant morbidity and may even be fatal. Thus, a surgeon's knowledge of surgical complications is essential for successful outcome.This book provides a comprehensive guide to manage complications after head and neck surgery. It consists of pearl and pitfalls of experienced surgeons, evidence-based information and full-coloured photographs for managing possible complications after head and neck surgery. With the illustrative figures, This book will be a practical reference for otolaryngologists, head and neck surgeons, professional clinical staff, and medical students.

The book discusses public policy, business strategies, building diverse and inclusive societies, securing climate justice, and building business resilience for the future, analyzing India and Europe simultaneously with the help of comparative design along with dedicated chapters on single country or region from the two entities. Situated in the contemporary times, the book dives into some of the most pressing issues of our times in two entities known for their diverse societies and democratic outlook. The book delves into domestic and international aspects when looking at the formulation and implementation of public policy. It also deals with the changing geo-political realties and how that has impacted domestic concerns and policies. From literature and theoretical contributions, the book has quantitative and qualitative chapters suitable for expert as well as general reading.This book is a valuable resource not just for university students, but research community, think tanks and people in governance; largely those involved in public policy. Importantly, this book would also serve as an important resource for scholars of international studies. The scholars of comparative public policy would find this book a much need addition to the field as the book looks at public policy from a comparative lens apart from single-country cases studies. Finally, given the relevance, scope, and access of understanding, the book can be read by anyone interested in workings of public policy, India, or Europe.

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 book aims to simplify the complex interpretation of neonatal electroencephalography (EEG), focusing on key patterns essential for the prevention and treatment of brain damages. With the physiological immaturity of the central nervous system in neonates, identifying brain conditions can be challenging. However, neonatal EEG, with its excellent temporal resolution, offers a real-time window into the brain functioning, making it an invaluable bedside tool.  To help readers deepen their understanding, the book provides a comprehensive collection of normal and abnormal EEGs samples, systematically categorized by postmenstrual age. Each case is accompanied by detailed observations and unique methods of interpretation, such as identifying abnormalities related to the timing of brain injuries. The book is organized into six sections: Introduction, Normal EEG patterns, Abnormal EEG patterns, Neonatal seizures, aEEG, and Practical application of neonatal EEG in clinical settings. This book is highly recommended for all neonatologists and pediatric neurologists dedicated to ensuring the intact survival and optimal neurodevelopment for high-risk newborns. It is also a valuable book for pediatricians, neurophysiologists, EEG technicians, residents, and NICU nurses, and other healthcare professionals involved in the care and follow-up of newborns discharged from the NICU.  This edition, the original published in Japanese, was translated with the assistance of machine translation, and then underwent thorough revision, editing, and verification by the authors to ensure accuracy and clarity.

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.

The book discusses the nine popular propositions in mathematics: "the consistency theorem" from logic; "isosceles triangle theorem" and "Pythagorean theorem" from geometry; "ordered pair proposition" and "mathematical induction principle" from Zermelo-Fraenkel set theory; "remainder theorem" from number theory; "the quadratic equation proposition" and "the subgroup theorem" from algebra; and "Dedekind continuum theorem" from analysis, and thereby cover a sufficiently wide cross-section of modern mathematical sub-domains. Using these propositions, the book primarily has three objectives: to offer a deeper appreciation of these propositions and related concepts; to provide a better understanding of their relationship with other topics of mathematics; and, above all, to throw light on the profound nature of the discipline that has developed and advanced over the millennia through a synergistic combination of imagination, inference, and insights.The book meticulously dissects each of these chosen propositions in separate chapters while simultaneously probing their intricate interrelationships. This approach yields a heightened appreciation of their mathematical significance, bridging the divide between educational levels. These propositions often appear poised between school-level mathematics and university-level rigour, and the book adeptly navigates this middle ground. Furthermore, it goes beyond mere logical inference, embracing the realms of imagination and insight. It offers a holistic, historical, and intellectual perspective, unravelling not just the necessity of each proposition but also its unique contributions to the fabric and evolution of mathematics. In doing so, it sheds light on a constellation of interconnected mathematical concepts, enriching the reader's comprehension of this remarkable discipline.

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 offers a comprehensive and in-depth exploration of key digital and AI technologies, providing readers with a thorough understanding of the concepts and advancements driving the digital and AI transformation. Readers will gain the foundational knowledge needed to engage and keep abreast with the subject matter effectively. The chapters are organized in a systematic and logical way, starting from foundation (ICT), technologies (digital platforms, digital technologies, AI technology), and applications in industry and in society.The book addresses the critical ethical and societal issues surrounding digital and AI technologies, discusses regulatory frameworks, and explores potential solutions to these challenges. This feature is especially valuable for policymakers and general readers who need to understand the broader implications of technological advancements and make informed decisions accordingly.By including the businesses and issues of the leading platform companies like Apple, Google, Amazon, and Meta, and also by including the case studies of successful digital transformations in various industries like ENGIE, John Deere, POSCO, and Hyundai Motors, the book provides practical insights and actionable strategies. This feature is particularly valuable for professionals and academics who can learn from real-world applications and apply these lessons to their own contexts.Although the content is most relevant to professionals in the technology, business, and industry sectors who are involved in digital and AI transformation initiatives, the book is designed to be accessible to readers at any level, especially to those who want to keep abreast with the advancement of digital and AI technologies.

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.