Handbook of Organizational Creativity: Individual and Group Level Influences, Second Edition covers creativity from many perspectives in two unique volumes, including artificial Intelligence work, creativity within specific applied domains (e.g., engineering, science, therapy), and coverage of leadership. The book includes individual, team and organizational level factors and includes organizational interventions to facilitate creativity (such as training). Chapters focus on creative abilities and creative problem-solving processes, along with individual differences such as motivation, affect and personality. New chapters include the neuroscience of creativity, creativity and meaning, morality/ethicality and creativity, and creative self-beliefs. Sections on group level phenomena examine team cognition, team social processes, team diversity, social networks, and multi-team systems and creativity. Final coverages includes different types and approaches to leadership, such as transformational leadership, ambidextrous leadership leader-follower relations, and more.
Handbook of Organizational Creativity: Leadership, Interventions, and Macro Level Issues, Second Edition covers creativity from many perspectives in two unique volumes, including artificial Intelligence work, creativity within specific applied domains (e.g., engineering, science, therapy), and coverage of leadership. The book includes individual, team and organizational level factors and includes organizational interventions to facilitate creativity (such as training). Chapters focus on creative abilities and creative problem-solving processes, along with individual differences such as motivation, affect and personality. New chapters include the neuroscience of creativity, creativity and meaning, morality/ethicality and creativity, and creative self-beliefs. Sections on group level phenomena examine team cognition, team social processes, team diversity, social networks, and multi-team systems and creativity. Final coverages includes different types and approaches to leadership, such as transformational leadership, ambidextrous leadership leader-follower relations, and more.
Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy looks at the complex and critical components of energy assets and the importance of inspection and maintenance to ensure their high availability and uninterrupted operation. Presenting the main concepts, state-of-the-art advances and case studies, this book approaches the topic by considering it as an integral part of the overall operation of any wind energy project. Linking the essential NDT subject with its sub disciplines, the book uses computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques to support analysis of prognostic problems with defined constraints and requirements. This book is the first of its kind and will provide useful insights to industrial engineers and scientists, academics and students in the possibilities that NDT and condition monitoring technologies can offer.
Professionals who provide services based on the principles of behavior are required to use evidence-based practices and to make data-based decisions regarding assessments and interventions. Doing so requires statistical literacy: competence in collecting, analyzing, interpreting and presenting aggregate quantitative data within or between subjects. Without statistical literacy, behavior analysts cannot take advantage of, or intelligently discuss, ongoing scientific developments around interventions for autism spectrum disorders (ASD). Statistics for Applied Behavior Analysis Practitioners and Researchers provides practical and useful content for individuals who work directly with, or supervise those who work directly with, individuals with ASD. This book introduces core concepts and principles of modern statistical analysis that behavior analysts will need to deliver and consume the larger scientific literature. The organization of the book follows the common sequence of decisions for collecting, describing and analyzing data associated with behavior analytic service delivery and research. By the end of the book, readers should be able to understand and accurately incorporate statistics in their assessment and intervention effects using statistics.
Digital Teaching, Learning and Assessment: The Way Forward is the result of the continuous discussion taking place in the teaching and learning space of what the future holds for academics and their stakeholders, post pandemic students. The editors of this book work in the teaching and learning domain and consider such discussion critical to ensure that students of the future are well serviced by all concerned. The book brings such discussions to one platform where academics, administrators and other stakeholders like researchers and regulatory bodies ponder ideas and practices and how the digital world will dominate and change the teaching/learning space.
Academic Quality and Integrity in the New Higher Education Digital Environment: A Global Perspective provides discussions on the work of three editors who have significant experience in the quality assurance of teaching and learning and have been developing approaches during the recent COVID-19 pandemic. Discussions on learning and teaching during the pandemic were concentrated on how academic institutions ensure quality of courses, and that academic integrity is maintained in all assessments in a digital environment, thus ensuring what is being delivered meets global standards and professional bodies have confidence in programs delivered by the higher education sector. The area of quality assurance and academic integrity is thus critical in this new digital environment where significant educational programs will be delivered.
**Selected for Doody’s Core Titles® 2024 in Psychology, Clinical**Encyclopedia of Mental Health, Third Edition, Four Volume Set brings together emerging trends and discoveries to paint a picture of mental health in the context of overall health and well-being. This new edition comprises 260 comprehensive chapters on topics like depression, schizophrenia, mood disorders, suicide, personality disorders, dementia, panic attacks, paranoia, somatization, conduct disorder, dissociative disorders, obsessive–compulsive disorder, Alzheimer’s disease, phobias, divorce, PTSD, burn-out, grief, as well as up-and-coming research findings on mental health topics in the wake of Covid-19. The book also includes therapies such as cognitive therapy, behaviorist, psychoanalytic, constructivist, exposure therapy, dialectical behavior therapy, narrative therapies, biofeedback, and more.Moreover, the encyclopedia explores links to behavioral medicine, health psychology and other aspects of physical health. Coverage of the validity of psychiatric diagnosis is also included, as are the positive aspects of mental health, including forgiveness, gratitude, happiness, hope, empathy, humor, awe, self-healing personalities, heroism, altruism, and growth.
Private Equity and Entrepreneurial Finance, volume 1 of the new series, Handbook of the Economics of Corporate Finance, provides comprehensive and accessible updates of central theoretical and empirical issues in corporate finance. The demand for these updates reflects the rapid evolution of corporate finance research, which has become a dominant field in financial economics. The chapters are written by leading researchers and experts that remain active in their respective areas of interest. These are intended to make the economics of corporate finance and governance accessible not only to doctoral students but also researchers not intimately familiar with this important field.
Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems.