Bøker utgitt av Elsevier Science Publishing Co Inc

Eating disorders (EDs) affect at least 11 million people in the United States each year and spread across age, race, ethnicity and socio-economic class. While professional literature on the subject has grown a great deal in the past 30 years, it tends to be exclusively research-based and lacking expert clinical commentary on treatment. This volume focuses on just such commentary, with chapters authored by both expert clinicians and researchers. Core issues such as assessment and diagnosis, the correlation between EDs and weight and nutrition, and medical/psychiatric management are discussed, as are the underrepresented issues of treatment differences based on gender and culture, the applications of neuroscience, EDNOS, comorbid psychiatric disorders and the impact of psychiatric medications. This volume uniquely bridges the gap between theoretical findings and actual practice, borrowing a bench-to-bedside approach from medical research.

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people''s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Contains contributions from noted scholars in computer science and electrical engineering from around the globeProvides a broad overview of recent developments in sensor collected intelligenceEdited by a team comprised of leading thinkers in big data analytics

Anxiety in Children and Adolescents with Autism Spectrum Disorder: Evidence-Based Assessment and Treatment begins with a general overview of the history of research on anxiety in ASD and the path towards evidence-based assessment and treatment methods. Thereafter, chapters focus on the nature of ASD and anxiety comorbidity, the assessment of anxiety in ASD, and its treatment. Later chapters are devoted to future directions for research on this topic, including a discussion of anxiety assessment and treatment for adults and minimally verbal individuals. Anxiety disorders in children with autism spectrum disorder (ASD) can cause substantial distress and impairment over and above that caused by ASD alone. Emerging research on genetic, psychological, psychophysiological, and psychometric aspects of ASD establish anxiety as a valid and necessary treatment target in this population. This book is designed to help a broad array of providers who work with children with ASD understand cutting-edge, empirically supported treatments for anxiety, including specific treatment plans and strategies. Presents a balanced discussion of the scientific literature on anxiety in ASDProvides a pragmatic, clinically applied focus that gives readers a ''how-to'' guide for the treatment of anxiety in ASDConsiders the distinct ways in which anxiety presents in children and adolescents with ASD and the challenges this presents to assessment and treatmentExamines emerging areas of anxiety assessment and treatment research in ASD