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Metaverse and Digital Twins
This book covers innovative research topics on Metaverse, Digital Twins and Disease Screening and Precision medicines which represents the convergence of three significant technological trends, each with the potential to impact healthcare on its own. However, when combined, they could establish entirely novel avenues for delivering care, offering the potential to reduce costs significantly and greatly enhance patient outcomes. These trends include telepresence/telemedicine, the digital twin (DT), and blockchain. Telepresence refers to people's capacity to virtually be together despite physical distance. This can be achieved through virtual reality (VR, immersing the user entirely), augmented reality (AR, overlaying artificial images onto a real image), or other methods. Aside from VR and AR, distinguish two other metaverse types: lifelogging (capturing, storing, and sharing everyday experiences and information about objects and people) and the mirror world (reflecting the real world but integrating and providing external environment information). In the healthcare context, telepresence is predominantly utilized in telemedicine, which involves delivering medical services remotely.
Entrepreneurial Motivations
Entrepreneurship depends on the decisions that people make about how to undertake that process; however, in recent years, entrepreneurship research has focused largely on the environmental characteristics influencing firm founding and the characteristics of entrepreneurial opportunities, ignoring the role of human agency. This book, therefore, focuses on how human motivations influence the entrepreneurial process. It argues that the attributes of people making decisions about the entrepreneurial process influence the decisions that they make. The book particularly investigates whether entrepreneurial role models, social valuation of entrepreneurship, perceived knowledge of entrepreneurial support and barriers to starting a business, entrepreneurial intention, and its determinants are related to entrepreneurial motivation. Featuring case studies that analyze the motivations that researchers have suggested should influence the entrepreneurial process, this book is beneficial to students, scholars, and practitioners in entrepreneurship.
Machine Learning and Robotics in Urban Planning and Management
The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generat...
AI and Automation in Green Investment Platforms: Next-Generation Esg
Emerging technologies are transforming the way sustainable finance operates in this world which is urgently seeking climate resilience and environmental responsibility. As artificial intelligence (AI) and automation become integral to investment analysis and portfolio management, they offer powerful tools for advancing green finance, enhancing transparency and efficient decision-making. Intelligent systems are reshaping Environmental, Social, and Governance (ESG) investing and driving accountability, while also addressing the ethical and technological challenges that accompany the digital evolution of sustainable investing. AI and Automation in Green Investment Platforms: Next-Generation ESG explores how AI and automation can disrupt sustainable finance. The book argues that AI ESG analytics are not an enemy of human expertise but a game-changing ally to investments. Covering topics such as AI, green finance, and investments, this book is an excellent resource for academicians, finance professionals, technology developers, policymakers, and green advocates.
Imposter Syndrome and Ai: Navigating Human Identity in the Age of Intelligent Machines
With the rapid advancements in artificial intelligence (AI), the boundaries between human capability and machine intelligence are increasingly blurred. As AI demonstrates creativity and problem-solving mimicry once thought to be uniquely human, many individuals find themselves questioning their own value and authenticity as a manifestation of imposter syndrome. The rise of intelligent technology not only transforms industries and daily life but also challenges our understanding of what it means to be truly "intelligent" or even "human." Imposter Syndrome and AI: Navigating Human Identity in the Age of Intelligent Machines explores how AI is changing humans' definition of identity. The book explains the psychological and emotional impact about the development and exacerbation of impostor syndrome in an increasingly developed AI world. Covering topics such as artificial intelligence, human identity, and psychology, this book is an excellent resource for educators, academicians, policymakers, technology developers, human resource leaders, and graduate students.
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