This pocketbook serves as a concise and practical guide to the management of ADHD for child and adolescent psychiatrists and child psychologists, paediatricians, trainees, psychiatric specialist nurses, interested general practitioners, and other mental health professionals. The pocketbook provides a user-friendly introduction to the clinical understanding, evaluation, and treatment of ADHD. This edition has been updated to include new DSM-5 diagnostic criteria (May 2013) and to reflect more published studies on ADHD in the adult population, along with new data on the CNS stimulant drug LDX (Lisdexamfetamine Dimesylate).
Abnormal Child and Adolescent Psychology with DSM-5 Updates, 8/e presents students with a comprehensive, research-based introduction to understanding child and adolescent psychopathology. The authors provide a logically formatted and easy to understand text that covers the central issues and theoretical and methodological foundations of childhood behavior disorders. Rich with illustrations and examples, this text highlights the newest areas of research and clinical work, stressing supported treatments and the prevention of behavior problems of youth.
Amplio recorrido por el trastorno por déficit de atención de hiperactividad (TDAH), desde su historia, hasta los últimos descubrimientos en genética o neuroimagen, pasando por una minuciosa descripción de la clínica y de las diferentes opciones de tratamiento, bajo el prima del TDAH como trastorno que afecta y se modifica a lo largo de la vida.
Applied Biomechatronics Using Mathematical Models provides an appropriate methodology to detect and measure diseases and injuries relating to human kinematics and kinetics. It features mathematical models that, when applied to engineering principles and techniques in the medical field, can be used in assistive devices that work with bodily signals. The use of data in the kinematics and kinetics analysis of the human body, including musculoskeletal kinetics and joints and their relationship to the central nervous system (CNS) is covered, helping users understand how the complex network of symbiotic systems in the skeletal and muscular system work together to allow movement controlled by the CNS. With the use of appropriate electronic sensors at specific areas connected to bio-instruments, we can obtain enough information to create a mathematical model for assistive devices by analyzing the kinematics and kinetics of the human body. The mathematical models developed in this book can provide more effective devices for use in aiding and improving the function of the body in relation to a variety of injuries and diseases. - Focuses on the mathematical modeling of human kinematics and kinetics - Teaches users how to obtain faster results with these mathematical models - Includes a companion website with additional content that presents MATLAB examples
"From a leader in the field of psychotherapy this new book is the first dedicated to the topic of the fear of contamination. The book starts by defining the disorder, before considering the various manifestations of this fear, examining both mental contamination and contact contamination, and feelings of disgust. Most significantly it develops a theory for how this problem can be treated, providing clinical guidelines - based around cognitive behavioural techniques."--BOOK JACKET.
A complete, hands-on resource, this volume provides everything the mental health professional needs for working with clients who suffer from obsessions and compulsions. The initial chapters supply the background by describing in detail the most up-to-date, clinically relevant information available on obsessive compulsive disorder (OCD). The latter chapters comprise a step-by-step guide for conducting behavioral treatment. The book also features unusually practical appendices that include checklists, an inventory, rating scales, and suggested readings.
Prominent researchers from the US, Mexico, Chile, Colombia and Spain contribute experimental reports on language development of children who are acquiring Spanish. The chapters cover a wide range of dimensions in acquisition: comprehension and production; monolingualism and bilingualism; typical development, children who are at risk and children with language disorders, phonology, semantics, and morphosyntax. These studies will inform linguistic theory development in clinical linguistics as well as offer insights on how language works in relation to cognitive functions that are associated with when children understand or use language. The unique data from child language offer perspectives that cannot be drawn from adult language. The first part is dedicated to the acquisition of Spanish as a first or second language by typically-developing children, the second part offers studies on children who are at risk of language delays, and the third part focuses on children with specific language impairment, disorders and syndromes.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients
The Delphi Technique in Nursing and Health Research is a practical guide to using the Delphi methodology for students and researchers in nursing and health. It adopts a logical step-by-step approach, introducing the researcher to the Delphi, outlining its development, analysing key characteristics and parameters for its successful use and exploring its applications in nursing and health. The book addresses issues of methodology, design, framing the research question, sampling, instrumentation, methodological rigour, reliability and validity, and methods of data analysis. The Delphi Technique in Nursing and Health Research enables the reader to be aware of the limitations of the technique and possible solutions, to design a Delphi questionnaire for each of the different rounds of a study, to consider different approaches to the technique in relation to a study, to analyse the data from each round of a Delphi study, and to understand the importance of feedback between rounds. Key Features A practical guide to facilitate use of the Delphi technique Provides the reader with the necessary information to participate in and conduct Delphi studies Examines different types of Delphi, including the e-Delphi, and modifications made to the technique Includes examples of real empirical investigations, brief case scenarios and key learning points for each chapter Explores the role of the Delphi researcher Explores ethical issues and issues of anonymity, use of experts and controlled feedback
