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This book demonstrates how integrative clinical practices provide a flexible, systematic, and responsive approach to working with couples and families with complex challenges.
Couples and families experience stressors of all kinds, such as infertility, blending families, infidelity, military trauma, incarceration, and sexual abuse. Complicating these already-difficult issues may be added social scrutiny due to racism, undocumented immigration, or LGBTQ status. Likewise, new technologies such as social media and data tracking, while having many positive uses, can also intensify problematic patterns. Couples and families entering treatment need a tailored clinical approach, which integrative therapies offer. Contributors to this edited book summarize current scientific knowledge about the complex clinical problems that bring couples and families to treatment, and discussThis book demonstrates how integrative clinical practices provide a flexible, systematic, and responsive approach to working with couples and families with complex challenges. Couples and families experience stressors of all kinds, such as infertility, blending families, infidelity, military
A novel, integrative approach to cities as complex adaptive systems, applicable to issues ranging from innovation to economic prosperity to settlement patterns. Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel,
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of
This book provides clear, concise guidance on a range of essential treatment strategies for the provision of reliable endodontic care. Practical clinical procedures are described step by step and key concepts emphasized with the aid of a wealth of high-quality illustrations and photographs
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the
Providing tools to enhance treatment of any clinical problem, this book shows how integrating motivational interviewing (MI) and cognitive-behavioral therapy (CBT) can lead to better client outcomes than using either approach on its own. The authors demonstrate that MI strategies are ideally suited
Healthcare professionals calculate dosage when dispensing medicine and determining treatment plans. This text applies the concept of dosage to communication. We often assume that 'more is more' when it comes to communicating, but in all interactions there are ideal and different 'quantities' of
This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified
Useful tips and step-by-step guidance from filing to issue to license Acquire and protect your share of this major business asset Want to secure and exploit the intellectual property rights due you or your company? This easy-to-follow guide shows you how -- helping you to evaluate your idea's
A cutting-edge review of the latest findings on key scientific topics and the best strategies for evaluation and management of portal hypertension in the clinic. Writing in an easy-to-read style, the authors review its pathobiology, the progress being made in its experimental understanding, the
The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics, where posterior and prior odds have been replaced with posterior and prior likelihood distributions. Why may likelihood distributions better than normal
Preface Acknowledgements 1 Introduction to Sample Size Determination Introduction Issue of Power due to inappropriate sample size Some case studies Flow Diagram of Determining sample size and power Summary 2 Understanding Statistical Inference Introduction Estimating Parameters