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In today's rapidly evolving educational landscape, traditional teaching methods often fail to equip students with the skills necessary for success in the 21st century. The siloed approach to education, where subjects are taught in isolation, must reflect the interconnected nature of modern challenges. This disconnect between traditional educational models and the needs of the future workforce is a serious concern among educators. They face the challenge of preparing students for professions that still need to be created using tools and technologies that are still emerging. Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving offers a transformative solution to...
Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In today’s world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare deliver...
Engineers, researchers, and students attempting to effectively utilize numerical methods to solve complex engineering problems in today's fast-paced technological world are increasingly struggling to keep up without the necessary tools. While theoretical knowledge is vital, it can feel disconnected from practical application, leaving many ill-equipped to tackle real-world challenges. Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods offers a comprehensive understanding and hands-on experience with numerical methods, empowering you to push the boundaries of innovation. By providing practical examples of coding and real-world applications, you will be equipped with the skills to tackle dynamic systems, partial and ordinary differential equations, and other mathematical simulations confidently.
In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about ...
In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.
There are a plethora of questions experts are asking surrounding the intersection of clinical intervention practices with social cognition. How do neuro-cognitive processes shape social understanding? What experimental methods illuminate social cognitive complexities? How can social cognition be applied practically in clinical contexts and psycho-social rehabilitation? How does social cognition influence decision-making and cross-cultural perspectives? To find the answers to these concerns, researchers can now look to Principles and Clinical Interventions in Social Cognition, a research book which delves into recent advances, practical applications, and future trajectories within the intrica...
This handbook provides a comprehensive overview of the pragmatics of social media, i.e. of digitally mediated and Internet-based platforms which are interactively used to share and edit self- and other-generated textual and audio-visual messages. Its five parts offer state-of-the-art reviews and critical evaluations in the light of on-going developments: Part I The Nature of Social Media sets up the conceptual groundwork as it explores key concept such as social media, participation, privacy/publicness. Part II Social Media Platforms focuses on the pragmatics of single platforms such as YouTube, Facebook. Part III Social Media and Discourse covers the micro-and macro-level organization of social media discourse, while Part IV Social Media and Identity reveals the multifarious ways in which users collectively (re-)construct aspects of their identities. Part V Social Media and Functions/Speech Acts surveys pragmatic studies on speech act functions such as disagreeing, complimenting, requesting. Each contribution provides a state-of-the-art review together with a critical evaluation of the existing research.
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 sustai...
In today's increasingly digital world, the interaction between humans and computers has become a fundamental aspect of our daily lives, affecting how we learn, work, and conduct business. However, as technology continues to evolve, the Human-Computer Interaction (HCI) field faces new challenges and opportunities. One pressing issue is the need to understand the social implications of HCI in education, management, and economics. This includes how HCI impacts teaching methodologies, business practices, and economic models and how it can be leveraged to enhance productivity, innovation, and entrepreneurship. Social Reflections of Human-Computer Interaction in Education, Management, and Economics addresses these challenges by comprehensively exploring HCI and its societal implications. This book is essential for scholars, practitioners, and policymakers looking to understand the complex interplay between humans and computers in today's digital age. It offers practical insights and theoretical frameworks that can inform the design of more effective educational programs, management practices, and economic policies.
Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient ...