Bøger udgivet af IGI Global

The world is facing unprecedented environmental and social challenges that threaten our ability to achieve a sustainable future for all. Issues like climate change, resource depletion, and social inequality require urgent action, but technology, while a potential solution, also introduces new risks. Promoting Sustainable Management Through Technological Innovation offers a comprehensive solution by exploring the benefits and risks of technology, emphasizing ethical considerations, and providing insights and recommendations for policymakers, business leaders, and researchers to harness technological innovation for sustainability. This book contributes to the ongoing conversation around sustainable development by guiding policymakers in developing effective policies, assisting business leaders in implementing sustainable practices, and providing researchers with a comprehensive overview of current research. It serves as a valuable resource for academic scholars and professionals interested in the intersection of technology and sustainability. Policymakers can shape policies promoting sustainability, business leaders can integrate sustainable practices and innovation, researchers can gain insights for further investigation, and educators can utilize it in sustainability and technology courses. Overall, the book serves as a key reference, guiding readers toward responsible and effective solutions that leverage technology for a more sustainable future.

The application of genetic engineering techniques by redesigning and repurposing biological systems for novel biotechnical applications has paved the way for the field of synthetic biology. This field boosted the evolution and discovery of various novel technologies essential to the conquest of biological problems related to health, disease, the environment, and energy. The field of synthetic biology is growing rapidly, and further research is required. Applications of Synthetic Biology in Health, Energy, and Environment deliberates on principles and the advancement of synthetic biology and their translation in the fields of health, disease, energy, and the environment. Covering topics such as climate change, bioremediation, and smart drugs, this premier reference source is an excellent resource for students and educators of higher education, industrialists, medical professionals, hospital administrators, policymakers, environmental scientists, pharmacists, librarians, researchers, and academicians.

In the age of social media dominance, a staggering amount of textual data floods our online spaces daily. While this wealth of information presents boundless opportunities for research and understanding human behavior, it also poses substantial challenges. The sheer volume of data overwhelms traditional processing methods, and harnessing its potential requires sophisticated tools. Furthermore, the need for ensuring data security and mitigating risks in the digital realm has never been more pressing. Academic scholars, researchers, and professionals grapple with these issues daily, seeking innovative solutions to unlock the true value of multimedia data while safeguarding privacy and integrity. Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques is a groundbreaking book that serves as a beacon of light amidst the sea of data-related challenges. It offers a comprehensive solution by bridging the gap between academic research and practical applications. By delving into topics such as deep learning, emotion recognition, and high-dimensional text clustering, it equips scholars and professionals with the innovative tools and techniques they need to navigate the complex landscape of multimedia data.

Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications , experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.

Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications , experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.

Governmental Power Market-Ing in the VU-CHAOS World is a thought-provoking book that explores the blended concepts of state governance, marketing, and management. This book offers a comprehensive examination of the dynamics and implications of governmental power in a rapidly changing world. Delve into this text to investigate the concept of government and its significance, as well as the rise of gerontocracy, where the elders exert influence over the state game, both in theory and practice. Further chapters explore topics such as the hidden agenda behind the development of government in governmental power marketing theory, the sources and status of government, strategies, and behavior of governments as buyers. The influences that shape governmental buying behavior and the implications for controlling governmental power are also examined. Readers will gain insights into future trends in government theory and practice, including strategic approaches for stateless players and net states. Case studies and comparative applications offer real-world examples and practical implications. Governmental Power Market-Ing in the VU-CHAOS World is an essential resource for academics, researchers, policymakers, and anyone interested in understanding the complex interplay between governmental power and market dynamics in today's evolving global landscape.

In our contemporary era, while diversity is acknowledged, true inclusion remains an elusive goal, as society grapples with multifaceted challenges. The "great resignation" and movements like #MeToo have exposed workplace culture issues, while events like Black Lives Matter protests underscored glaring disparities. Simultaneously, rapid technological advancements introduce new risks, from cyber exploitation to biased AI. These complexities demand innovative solutions that address these challenges, fostering environments of genuine respect, understanding, and collaboration. Applied Research Approaches to Technology, Healthcare, and Business , edited by Dr. Darrell Norman Burrell, emerges as a transformative force. This dynamic anthology presents insights, research, and actionable recommendations from diverse fields and perspectives, taking an interdisciplinary approach to unravel workplace dynamics, health disparities, and technological advancements. Topics include inclusive leadership, equitable technology, bias in AI, and forging collaboration across religious and cultural differences. By harmonizing voices and expertise, this book offers transformative approaches for individuals, educators, and professionals. This rich resource empowers readers to navigate today's societal challenges, equipping them to become architects of a more inclusive, equitable, and harmonious future across technology, healthcare, and business.

The rapid growth of IoT and its applications in smart cities pose significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) presents a single point of failure, hindering network performance, while IoT devices themselves are susceptible to attacks, compromising user data and privacy. To address these pressing issues, Network-Enabled IoT Applications for Smart City Services offers a compelling solution . Edited by Dr. K. Hemant Kumar Reddy, Dr. Diptendu SinhaRoy, and Tapas Mishra, this book advocates leveraging SDN to handle high-frequency data streams effectively. It also proposes the integration of blockchain technology to enhance security and reliability in IoT applications, offering a roadmap for scholars to improve network efficiency, security, and reliability in IoT and smart city domains. With their extensive expertise, the authors provide academic scholars with a comprehensive and innovative resource that inspires further research and development in this evolving field, enabling them to make significant contributions to the advancement of IoT and smart city technologies.

The impact of transformational leadership styles, management strategies, and communication for organizational effectiveness and employee performance within organizations cannot be overemphasized. Leadership as a concept has evolved over the years based on situations, practices, and change management approaches in organizations. The evolution of transformational leadership in organizations is imperative to examine in order to motivate and encourage others to collectively support and work to achieve organizational effectiveness, or vision and mission. Leadership needs a paradigm shift to influence opportunities and challenges in organizations such as organizational behavior, motivation, communication, and management functions. Transformational Leadership Styles, Management Strategies, and Communication for Global Leaders aims to provide relevant theoretical, conceptual, and procedural frameworks and the latest empirical research findings that critically examine the areas of leadership, leadership styles, management studies, and communication for leaders globally. It is ideal for multi-sectoral interests in business and educational organizations, chief executive officers, executive members, team leaders, industry leaders, human resource directors and personnel, leadership and management, and practitioners.

The interplay between economic growth and sustainable development is a recurring theme, with discussions centering around the potential effects of nutrition on developmental outcomes. Optimizing Energy Efficiency During a Global Energy Crisis is a comprehensive and scholarly examination of the factors influencing economic development and their implications. This book delves into the multifaceted aspects of economic growth, encompassing social, political, cultural, and most notably, economic dimension to heighten awareness about their effects and consequences. The book also offers insights into investment policies and their implications for industrial business organizations, as well as the intricate dynamics of the health insurance market. Drawing upon diverse fields of study such as economy, development, informatics, and policy, this book offers a wide range of topics and methodologies to enrich the existing literature. It seeks to address the gaps in understanding and unexplored territories within these domains by employing original research and innovative approaches. This book is a valuable resource for scholars, researchers, and professionals in the fields of economics, finance, and development strategies. With an academic approach, this book will appeal to those seeking a deeper understanding of the complex interactions between economic factors and their consequences. It is particularly relevant for individuals involved in related markets and industries, offering practical insights and knowledge for informed decision-making.

As generative Artificial Intelligence (AI) tools become increasingly prevalent, it is crucial for educators to develop a nuanced understanding of the ethical implications associated with their use. Educators today face the critical task of navigating the pedagogical applications of AI and maximizing its potential to foster student learning. Creative AI Tools and Ethical Implications in Teaching and Learning is an insightful exploration of the ethical considerations surrounding the integration of AI in education. Educators may fear how it will rapidly transforming the educational landscape, but this book serves to support them and delves into the opportunities and challenges that arise when leveraging AI to enhance teaching and learning experiences. Creative AI Tools and Ethical Implications in Teaching and Learning goes beyond theory to offer practical strategies for integrating AI creatively into the classroom. From learning analytics and educational data mining to AI game activities and generative AI tools like ChatGPT, this book equips educators with the knowledge and resources to adapt AI technologies to support teaching and learning effectively. Moreover, the book explores the vital connection between AI and student assessment, highlighting how AI can enhance the evaluation process while maintaining fairness and objectivity. It concludes with an insightful glimpse into the future of AI in education, envisioning the transformative possibilities that lie ahead. This comprehensive guide provides educators, researchers, and policymakers with the tools they need to navigate the complexities of AI in education.

Teacher education is a known variable that impacts the quality of teaching and schooling, yet while research on practices in teaching and teacher education abound in other contexts, there seems to be no comprehensive reference work on teaching and teacher education in Africa. With Africa and the diaspora boasting rich, diverse political and educational contexts and practices, this gap in knowledge requires that attention be focused on investigating issues that shape the pace, course, and direction of teaching and teacher education in these contexts. Practices and Perspectives of Teaching and Teacher Education in Africa facilitates scholarly discussions among scholars and practitioners about practices, innovations, and future possibilities for educating the next generation of competent students and teachers in Africa. Covering topics such as educational reforms, equity, career progression, and curriculum development, this major reference work is ideal for administrators, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.

Critical Social Challenges in the Tourism Industry: Labor, Gentrification, and Drugs is a groundbreaking book that delves into the often-overlooked critical issues within the field of tourism. The book adopts a critical perspective, shedding light on power relations, domination, and oppression within the tourism industry. By exposing these dynamics, the critical paradigm seeks to liberate both tourist destinations and employees from exploitative conditions. From examining the social and environmental effects of tourism to addressing critical topics such as gentrification, consumerism, commodification, and critical pedagogy, this comprehensive study offers a fresh and thought-provoking analysis of the field. With a focus on labor transformation, the formation of the working class, and the employment of women, children, and immigrants, the book uncovers the intricate labor processes and interactions within the tourism industry. Furthermore, it explores important aspects such as tourist-employee interaction, LGBT tourism, illegal sex tourism, and the use of drugs and psychedelics in the context of tourist mobility. This book is ideal for researchers and students in the field of tourism, offering a comprehensive examination of critical issues within the industry.

Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology. The Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students.