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Record Nr. |
UNINA9910303431903321 |
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Autore |
Monga Suneeta |
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Titolo |
Assessing and Treating Anxiety Disorders in Young Children : The Taming Sneaky Fears Program / / by Suneeta Monga, Diane Benoit |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Descrizione fisica |
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1 online resource (XV, 222 p. 16 illustrations, 6 illustrations. in color.) |
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Disciplina |
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Soggetti |
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Child psychology |
School psychology |
Pediatrics |
Social service |
Child and School Psychology |
Social Work |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Anxiety Disorders in Young Children -- Chapter 2. Screening and Assessment Tools for Young Anxious Children -- Chapter 3. Innovative Assessment Approaches for Young Anxious Children -- Chapter 4. Current Evidence-Based Management -- Chapter 5. The Taming Sneaky Fears Program: Development and Refinement -- Chapter 6. The Taming Sneaky Fears Program: Theoretical Framework, Requirements for Implementation, and Program Overview -- Chapter 7. The Taming Sneaky Fears Program: Introduction Session -- Chapter 8. The Taming Sneaky Fears Program: How to Be a Feeling Catcher and the Boss of My Body -- Chapter 9. The Taming Sneaky Fears Program: How to Be a Trick Catcher and the Boss of My Brain -- Chapter 10. The Taming Sneaky Fears Program: How to Climb Bravery Ladders and How to Manage Excessive Worries -- Chapter 11. The Taming Sneaky Fears Program: The Pivotal Role of Parents -- Chapter 12. The Taming Sneaky Fears Program: Working with Daycare and School Professionals -- Chapter 13. Conclusions and Future |
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Sommario/riassunto |
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This book examines assessment and treatment methods for anxiety disorders in four- to- seven-year-olds. It discusses risk and protective factors in the preschool years, comorbidities, and how conditions such as separation anxiety disorder, social anxiety disorder, and selective mutism present in this age group. The book examines limitations of current definitions, assessment methods, and interventions. Chapters offer a theoretical framework from which to understand how traditional cognitive-behavior therapy (CBT) strategies can be used effectively in this age group. It offers a detailed description of the Taming Sneaky Fears program, an innovative, evidence-based group CBT program for four- to seven-year-old anxious children and their parents. It provides step-by-step instructions on how to implement Taming Sneaky Fears. The book concludes by addressing common challenges, influences, and outcomes for four- to seven-year-old anxious children and their families and provides recommendations for reducing the barriers to healthy development. Topics featured in this book include: Screening and assessment tools for young anxious children. Innovative assessment approaches for young anxious children. The use of Bravery Ladders to teach young children to overcome their fears and anxieties. Specific adaptations of the Taming Sneaky Fears program for selective mutism and social anxiety disorder. The pivotal role of parents in the success of the Taming Sneaky Fears program. Assessing and Treating Anxiety Disorders in Young Children is a must-have resource for researchers, clinicians and related professionals, and graduate students in child and school psychology, pediatrics, social work, and psychiatry. |
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2. |
Record Nr. |
UNINA9910332059803321 |
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Titolo |
Art research journal = : revista de pesquisa em artes |
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Pubbl/distr/stampa |
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Brasil : , : ABRACE, ANPAP e ANPPOM em parceria com a UFRN, , 2014- |
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ISSN |
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Descrizione fisica |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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3. |
Record Nr. |
UNINA9910637702303321 |
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Titolo |
Advances in Speech and Music Technology : Computational Aspects and Applications / / edited by Anupam Biswas, Emile Wennekes, Alicja Wieczorkowska, Rabul Hussain Laskar |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (446 pages) |
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Collana |
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Signals and Communication Technology, , 1860-4870 |
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Disciplina |
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Soggetti |
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Signal processing |
Acoustical engineering |
Music |
Signal, Speech and Image Processing |
Engineering Acoustics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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State-of-the-Art -- A comprehensive review on Speaker Recognition -- Music Composition with Deep Learning: A Review -- Music Recommendation Systems: Overview and Challenges -- Music Recommender Systems: A Review Centered on Biases -- Computational Approaches for Indian Classical Music: A Comprehensive Review -- Machine Learning -- A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique -- Video Soundtrack Evaluation with Machine Learning: Data Availability, Feature Extraction and Classification -- Deep Learning Approach to Joint Identification of Instrument, Shruthi and Raga for Indian Classical Music -- Comparison of Convolutional Neural Networks and K-Nearest Neighbours for Music Instrument Recognition -- Emotion Recognition in Music using Deep Neural Networks -- Perception, Health and Emotion -- Music to Ears in Hearing Impaired-Signal Processing Advancements in Hearing Amplification Devices -- Music Therapy - A Best Way to Solve Anxiety and Depression in Diabetes Mellitus Patients -- Music and Stress During Covid-19 Lockdown: Influence of Locus of Control and Coping Styles on Musical Preferences -- Biophysics of Brain Plasticity and Its Correlation to Music Learning -- Dealing with Emotional Speech and Text: A Special Focus on Bengali Language -- Case Studies -- Duplicate Detection for Digital Audio Archive Management: Two Case Studies -- Section Order, Refrain Perception, and the Interpretation of a Song’s Meaning -- Musical Influence on Visual Aesthetics: An Exploration on Intermediality using Audience Response, Feature and Fractal Analysis -- Influence of Musical Acoustics on Graphic Design: An Exploration with Indian Classical Music Album Cover Design -- A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction -- Inharmonic Frequency Analysis of Tabla Strokes in North Indian Classical Music. |
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Sommario/riassunto |
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This book presents advances in speech and music in the domain of audio signal processing. The book begins with introductory chapters on the basics of speech and music, and then proceeds to computational aspects of speech and music, including music information retrieval and spoken language processing. The authors discuss the intersection in the field of computer science, musicology and speech analysis, and how the multifaceted nature of speech and music information processing requires unique algorithms, systems using sophisticated signal processing, and machine learning techniques that better extract useful information. The authors discuss how a deep understanding of both speech and music in terms of perception, emotion, mood, gesture and cognition is essential for successful application. Also discussed is the overwhelming amount of data that has been generated across the world that requires efficient processing for better maintenance, retrieval, indexing and querying and how machine learning and artificial intelligence are most suited for these computational tasks. The book provides both technological knowledge and a comprehensive treatment of essential topics in speech and music processing. Presents comprehensive coverage of the interdisciplinary aspects of speech and music processing; Offer detailed technological insights and a deep understanding of speech and music processing applications by considering both theory and practice in the relevant topics; Topics include music information retrieval and spoken language processing that takes into account perception, emotion, mood, and cognition. |
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