Recent advances in socio-cognitive and affective computing require further study as countless benefits and opportunities have emerged from these innovative technologies that may be useful in a number of contexts throughout daily life. In order to ensure these technologies are appropriately utilized across sectors, the challenges and strategies for adoption as well as potential uses must be thoroughly considered. Principles and Applications of Socio-Cognitive and Affective Computing discusses several aspects of affective interactions and concepts in affective computing, the fundamentals of emotions, and emerging research and exciting techniques for bridging the emotional disparity between humans and machines, all within the context of interactions. The book also considers problem and solution guidelines emerging in cognitive computing, thus summarizing the roadmap of current machine computational intelligence techniques for affective computing. Covering a range of topics such as social interaction, robotics, and virtual reality, this reference work is crucial for scientists, engineers, industry professionals, academicians, researchers, scholars, practitioners, instructors, and students.

The financial services sector experiences millions of transactions representing billions of dollars every day, with security, transparency, and cost-efficiency being top priorities. Blockchain usage is increasing in the financial services sector; it is a breakthrough that has changed the global financial system, making it safer and more efficient. Revolutionizing Financial Services and Markets Through FinTech and Blockchain explores the application of blockchain technology within financial services and financial markets. Covering topics such as blockchain technology, e-finance applications, and financial product innovation, this book is ideal for academicians, investment institutions, asset management professionals, consultants, and more.

For the first time since the Great Depression, financial market issues threatened to derail global economic growth. This global financial crisis forced a reconsideration of systemic vulnerabilities with knowledge of numerous investment options and portfolio management strategies becoming more critical than ever before. A complete study of investment choices and portfolio management approaches in both the developing and developed worlds is required to achieve stability and sustainability. The Handbook of Research on Stock Market Investment Practices and Portfolio Management gives a thorough view on the recent developments in investment options and portfolio management strategies in global stock markets. Learning about the many investment options and portfolio management strategies available in the event of a worldwide catastrophe is critical. Covering topics such as AI-based technical analysis, marketing theory, and sharing economy, this major reference work is an excellent resource for investors, traders, economists, business leaders and executives, marketers, students and faculty of higher education, librarians, researchers, and academicians.

What happened then to the intellectuals who spent their life working and writing about the Cold War when the conflict ended in 1991? Looking at one of the most emblematic American think tanks in recent history, the RAND Corporation, Samaan provides key insights on the evolution of strategic studies in the US in the last two decades. Based on numerous interviews and exclusive archives, this is a detailed analysis of RAND's intellectual and corporate development. But beyond this specific case study, the book is more than a historical portray of a American research center. Through RAND and its relationship with the American military, the author seeks to understand the rules of the 'field' of strategic studies in the United States. Moreover this work allows the readers to better comprehend the way the elements driving the US defense policies since 1989 - the political uncertainty and its doctrinal consequences - shaped major international events in the last two decades.

Productivity growth has long been recognised by both economists and non-economists as being necessary for all economies aspiring to raise their standard of living. Thus, Renuka Mahadevan aims to highlight the conceptual differences, advantages and disadvantages of the various total factor productivity (TFP) measures and suggests processes and strategies for choosing the best technique to draw up policies for sustainable growth. Empirical results from six case studies are presented, and the analysis of the selected Asia Pacific economies is not only informative but also allows for variety in issues concerning productivity analysis. Consequently, policy measures based on each of the economies' experiences are carefully measured out in relation to various aspects such as trade liberalisation, industrial policy and other microeconomic and macroeconomic policies. The nature of the applied work in the book is refreshing and will therefore appeal to policy makers. It is also a valuable reference material for economists and researchers in industry and government, as well as graduate students who are interested in the Asia-pacific region and in particular, in productivity growth analysis.

This popular manual has received an updated and modern look while maintaining its succinct content.

Features:

• Clear and coherent strategy for preparing a research proposal for basic to advanced research
• Can be used in a variety of educational contexts in both tertiary and secondary education
• Workbook format for use in workshops for doctoral, Master’s and baccalaureate students
• Appropriate across many disciplines
• Accessible to English second-language speakers
• Interactive structure promotes self-directed research training - suitable for distance education

This book documents and expands on the diverse social and political dimensions of mathematics education issues, concerns, perspectives, contexts, and approaches presented in Topic Study Group 34 of the 13th International Congress on Mathematical Education (ICME-13). The book also argues for and promotes the mainstreaming of the sociopolitical dimensions of mathematics education through an ongoing critique and inquiry into content, policies, practices and theories. Accordingly, the main theme throughout the book is captured and illuminated by bringing voices from the margin to the mainstream. In this respect it is both aspirational and a reality, as evidenced by the increasing references to the sociopolitical dimensions in other areas of mathematics education-for example, in several of the plenary presentations at the ICME-13. The authors have reflected on their ideas with a view to orienting and enhancing research in the sociopolitical dimensions of mathematics education that is grounded in current education systems within their specific sociocultural contexts.

This book offers the core conceptual base for the practice of T-Group facilitation. Drawing from the fields of psychology, social psychology, sociology, diversity studies and Indian philosophical thoughts, this book is a great resource for enhancing the practice of T-Group facilitation, for both budding and established facilitators. It covers a wide range of theories on human development, self-awareness, interpersonal interactions, groups and change. Individual and group identities, diversity, inclusion and social hierarchies are explored in detail here. The authors offer a model of T-Group facilitation based on 50 years of experience within the Indian Society for Applied Behavioural Science (ISABS). This model is useful not only for fellow practitioners of T-Groups but also for anyone engaged in facilitating groups, organizations and communities globally. This book helps one to reflect, develop and sharpen one's competencies, values and ethics in this field. The chapters are embedded with activities, quizzes, case studies and exercises to facilitate a deeper understanding of the various elements used in the book. This book will be of interest to students, teachers and practitioners of psychology, social psychology, management studies and organizational development. It will also be useful for T-Group facilitators, facilitators of experiential groups and related fields.

Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.

In the new times of globalisation, international academic contacts and collaborations are ever increasing. They are taking many forms, from international conferences and publications, student and academic exchange, cross cultural research projects, curriculum development to professional development activities and affect every aspect of academic life from teaching, research to service.

This book aims to develop theoretical frameworks of the phenomena of internationalisation and globalisation. It identifies related ethical, moral, political and economic issues facing mathematics and science educators. It provides a venue for the publication of results of international comparisons on cultural differences and similarities rather than merely on achievement and outcomes. The book represents the different voices and interests from around the world rather than consensus on issues, and serves as a forum for critical discussion of the various models and forms of international projects and collaborations.

This book offers the core conceptual base for the practice of T-Group facilitation. Drawing from the fields of psychology, social psychology, sociology, diversity studies and Indian philosophical thoughts, this book is a great resource for enhancing the practice of T-Group facilitation, for both budding and established facilitators. It covers a wide range of theories on human development, self-awareness, interpersonal interactions, groups and change. Individual and group identities, diversity, inclusion and social hierarchies are explored in detail here. The authors offer a model of T-Group facilitation based on 50 years of experience within the Indian Society for Applied Behavioural Science (ISABS). This model is useful not only for fellow practitioners of T-Groups but also for anyone engaged in facilitating groups, organizations and communities globally. This book helps one to reflect, develop and sharpen one's competencies, values and ethics in this field. The chapters are embedded with activities, quizzes, case studies and exercises to facilitate a deeper understanding of the various elements used in the book. This book will be of interest to students, teachers and practitioners of psychology, social psychology, management studies and organizational development. It will also be useful for T-Group facilitators, facilitators of experiential groups and related fields.

This book is of interest to mathematics educators, researchers in mathematics education, gender, social justice, equity and democracy in education; and practitioners/teachers interested in the use of project work in mathematics teaching and learning. The book builds theoretical ideas from a careful substantial description of practice, in the attempt to improve both theory and practice in mathematics education. It thus interrogates and develops theoretical research tools for mathematics education and provides ideas for practice in mathematics classrooms.

Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and Natural Language Processing Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing Discovers deep learning frameworks and libraries for NLP, Speech and Computer vision in Python Gives insights into using the tools and libraries in python for real-world applications. Provides easily accessible tutorials, and real-world case studies with code to provide hands-on experience.

With the growing interest in and use of big data analytics in many industries and in many research fields around the globe, this new volume addresses the need for a comprehensive resource on the core concepts of big data analytics along with the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches. The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents a selection of illustrative case studies that show examples of the use of data analytics in industries such as health care, business, education, and social media. Research Practitioner's Handbook on Big Data Analytics will be a valuable addition to the libraries of practitioners in data collection in many industries along with research scholars and faculty in the domain of big data analytics. The book can also serve as a handy textbook for courses in data collection, data mining, and big data analytics.