Apprivoiser les Peurs-pas-fines débute par L’histoire de bravoure de Léo le lionceau. Léo est trop timide, nerveux et effrayé pour parler à d'autres animaux ou à ses enseignants – et il a définitivement peur de son propre rugissement. Avec l'aide de sa maman, Léo apprend que le changement demande de la patience, de la pratique et des outils pratiques. Léo surmonte son anxiété en apprivoisant ses Peurs-pas-fines et utilise même ses nouvelles compétences pour aider son amie, Ellie l'éléphante, à affronter sa peur des hauteurs et son besoin d'être toujours parfaitement parfaite. Le cahier de travail Dans la tanière de Léo le lionceau : Comment apprivoiser tes Peurs-pas-fines décrit les techniques qui ont aidé Léo à trouver sa voix et à surmonter sa timidité. Ces pratiques ont été développées par des pédopsychiatres expérimentés pour aider les enfants qui souffrent d'anxiété intense, y compris ceux qui sont excessivement timides, incapables de parler dans des situations sociales ou qui craignent de nouvelles expériences et de nouvelles personnes. Apprivoiser les Peurs-pas-fines vise à aider votre jeune enfant à devenir plus conscient de ses émotions et à apprendre à faire face à l'anxiété grâce à des exercices amusants, créatifs et actifs.
Taming Sneaky Fears starts with Leo the Lion’s Story of Bravery. Leo is too shy, nervous, and scared to speak to other animals or his teachers—and he’s definitely afraid of his own roar. With his mother’s help, Leo learns that change takes patience, practice, and practical tools. Leo overcomes his anxiety by taming his Sneaky Fears, and even uses his newfound skills to help his friend, Ellie the Elephant, challenge her fear of heights and her need to always be perfectly perfect. The included Inside Leo the Lion’s Den: How to Tame Your Sneaky Fears workbook outlines the techniques that helped Leo find his voice and overcome his shyness. These practices were developed by experienced child psychiatrists to help children who suffer intense anxiety, including those who are excessively shy, unable to speak in social situations, or fearful of new experiences and new people. Taming Sneaky Fears aims to help your young child become more aware of feelings and learn to cope with anxiety through fun, creative, and active exercises.
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.
Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale
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