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Engaging and authoritative, this unique workbook enables therapists and students to build technical savvy in contemporary CBT interventions while deepening their self-awareness and therapeutic relationship skills. Self-practice/self-reflection (SP/SR), an evidence-based training strategy, is presented in 12 carefully sequenced modules. Therapists are guided to enhance their skills by identifying, formulating, and addressing a professional or personal problem using CBT, and reflecting on the experience. The book's large-size format makes it easy to use the 34 reproducible worksheets and forms. Purchasers also get access to a Web page where they can download and print the reproducible materials.
Social epidemiology is the study of how the social world influences -- and in many cases defines -- the fundamental determinants of health. This link was substantiated in the first edition of Social Epidemiology, and the generation of research that followed has fundamentally changed the way we understand epidemiology and public health. This much-awaited second edition elevates the field again, first by codifying the last decade of research, then by extending it to examine how public policies impact health. The new edition includes: · 11 fully updated chapters, including entries on the links between health and discrimination, income inequality, social networks, and emotion · Four all-new ch...
This volume presents almost 100 papers deriving from the 6th International Conference on Late Roman Coarse Wares, Cooking Wares and Amphorae in the Mediterranean. Themes comprise sea and land routes, workshops and production centres, and regional contexts (western Mediterranean, eastern Mediterranean, Sicily and the Mediterranean islands).
Investigates questionable, ineffective, and harmful mental health treatments for children and adolescents.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relat...