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.