Böcker utgivna av Springer Nature Switzerland AG

This open access book, stemming from the biennial Consortium for Southeast Asian Studies in Asia conference, confronts numerous contemporary issues in the Southeast Asia region, under the banner of the 2022 theme "Managing Disruption, Developing Resilience for a Better Southeast Asia." Providing a platform for discussion and collaboration in the fields of sociology, education, population studies, cultural studies, public health, international relations, and other humanities and social science disciplines, the range of interdisciplinary chapters focus their critical analyses vis-à-vis the interpellation of economic, social, historical, artistic, cultural, religious, and political viewpoints. Organized into three sections, the first looks at new models of economic development, the challenges to education quality, the labor market in the digital era, and the demographic changes and critical issues facing both the young and elderly in the region. The second examines disasters as a future challenge for risk management, understandings of contemporary society and culture, the digital humanities, social development in the time of COVID-19, and identities in relation to religion, minorities, and social harmony. The final section addresses diaspora, migration, the region in the pandemic, citizenship and human security, democracy, and human rights, as well as foreign policy, diplomacy, and state sovereignty in Southeast Asia. As ASEAN comes of age, there has never been a more compelling need to provide region-based perspectives to complement the deepening economic, social, and cultural integration in the region.  For scholars working on Southeast Asia, "area" matters in geopolitical, economic, intellectual, institutional, social, cultural, and affective terms, and so this book transports the study of Southeast Asia from the periphery to the center, so as to enable scholars who live in and research the region to bring their research to a global readership. Relevant to scholars, public intellectuals, policy-makers, and activists working in all areas of the social sciences and humanities, this comprehensive book presents the very latest research on, and from, Southeast Asia.

This book contains selected chapters on topology and dynamical systems and their interdisciplinary applications. Targeting researchers in interdisciplinary areas, the book covers contemporary interdisciplinary topics in topology and dynamical systems, such as closure functions, Partially Negative Dimensional Product (PNDP) manifolds, Khalimsky topological subspaces, neutrosophic topological space, ideal topological spaces, relator spaces, predator-prey symbiosis, cosmological models, and nanofluids.

The book focuses on the issue of adapting the higher education system to the Fourth Industrial Revolution. Lifelong learning is suggested as a prospective path for this adaptation. The book includes a discussion of empirical experience and the forms of lifelong learning in Central Asia. The book also explains the essence, discusses practical experience, and offers practical recommendations for improving the management of the development of Educational Technology (EdTech) and higher education 4.0 in the conditions of the Fourth Industrial Revolution in Central Asia. The book explains the impact of the innovative economy and smart regulation of education on lifelong learning in Central Asia. It offers a competency-based approach and applied educational technologies for lifelong learning in the Central Asian countries.The book's novelty lies in its comprehensive exploration and detailed discussion of the unique experience of developing lifelong learning in Central Asia. The scientific and practical value of the book also lies in its proposal of a new paradigm for developing higher education in the Fourth Industrial Revolution. In this new paradigm, the higher education system emerged as the driving force of the Fourth Industrial Revolution through establishing Universities 4.0 and the intensified development of EdTech. The primary target audience of this book consists of scholars studying higher education issues. For them, the book reevaluates the concept of lifelong learning in the contemporary context of the Fourth Industrial Revolution.

This book studies and resolves the challenge of bridging the gap between higher education and the labor market arising from the Fourth Industrial Revolution. It unfolds and elucidates the understudied and previously unknown social nature of Industry 4.0, characterized by workers' dashed expectations regarding automation. Consequently, the book proposes a scientific-practical approach to social adaptation to Industry 4.0 through higher education.The novelty of this approach lies in the fact that, instead of passively waiting, workers engage in flexible adaptation to evolving labor market conditions, while universities demonstrate increased flexibility in managing and modernizing educational programs. The book presents a comprehensive set of prospective solutions to bridge the gap between higher education and the labor market, leveraging the unique technological possibilities of Industry 4.0.This book explains the essence and technological opportunities for overcoming the gap between higher education and the labor market in the context of the Fourth Industrial Revolution. It also delves into and extensively discusses international experiences (including the Kyrgyz Republic, the Eurasian Economic Union (EAEU), Peru, the Republic of South Africa, Arabian Peninsula Countries, and Russia) and prospects for overcoming the gap between higher education and labor market in the conditions of the Fourth Industrial Revolution, with particular attention to Central Asian countries.

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.

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.