Adolescent risk behaviors [[electronic resource] ] : why teens experiment and strategies to keep them safe / / David A. Wolfe, Peter G. Jaffe, Claire V. Crooks

• Record Nr.: UNINA9910777778203321
• Autore: Wolfe David A (David Allen), <1951->
• Pubbl/distr/stampa: New Haven, : Yale University Press, c2006
• ISBN: 1-281-74088-8; 9786611740887; 0-300-12744-8
• Descrizione fisica: 1 online resource (293 p.)
• Collana: Current perspectives in psychology
• Altri autori (Persone): CrooksClaire V; JaffePeter G
• Disciplina: 155.4/18
• Soggetti: Risk-taking (Psychology) in adolescence - Prevention
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 237-266) and index.
• Nota di contenuto: Series foreword / Alan E. Kazdin -- Preface -- Acknowledgments -- Valuing adolescence -- Learning the rules of relating -- The dark side of the rules -- Choices and pressures of today's youth -- Making sense of making choices -- What works in prevention: promises and pitfalls -- The blueprint: best principles for program design -- The delivery: best practices for strengthening relationships and managing risks -- The context: overcoming barriers and engaging schools -- The evolution of universal efforts to reduce adolescent risk behaviors.
• Sommario/riassunto: This book focuses on the crucial role that relationships play in the lives of teenagers. The authors particularly examine the ways that healthy relationships can help teens avoid such common risk behaviors as substance abuse, dating violence, sexual assault, and unsafe sexual practices. Addressing the current lack of effective prevention programs for teens, they present new strategies for encouraging healthy choices. The book first traces differences between the "rules of relating" for boys and girls and discusses typical and atypical patterns of experimentation in teens. The authors identify the common link among risk behaviors: the relationship connection. In the second part of the book, they examine the principles of successful programs used by ; schools and communities to cultivate healthy adolescent development. An illuminating conclusion describes the key ingredients for engaging adolescents, their parents, teachers, and communities in the effort to promote healthy, nonviolent relationships among teens.

Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings / / edited by Utkarsh Porwal, Alicia Fornés, Faisal Shafait

• Record Nr.: UNINA9910632468703321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• ISBN: 9783031216480; 3031216482
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (567 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 13639
• Disciplina: 006.424; 006.425
• Soggetti: Pattern recognition systems; Database management; Information storage and retrieval systems; Machine learning; Natural language processing (Computer science); Social sciences - Data processing; Automated Pattern Recognition; Database Management; Information Storage and Retrieval; Machine Learning; Natural Language Processing (NLP); Computer Application in Social and Behavioral Sciences
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Historical Document Processing -- A Few Shot Multi-Representation ; Approach for N-gram Spotting in Historical Manuscripts -- Text Edges Guided Network for Historical Document Super Resolution -- CurT: End-to-End Text Line Detection in Historical Documents with Transformers -- Date Recognition in Historical Parish Records -- Improving Isolated Glyph Classification Task for Palm leaf Manuscripts -- Signature Verification and Writer Identification -- Impact of Type of Convolution Operation on Performance of Convolutional Neural Networks for Online Signature Verification -- COMPOSV++: Light Weight Online Signature Verification Framework through Compound Feature Extraction and Few-shot Learning -- Finger-Touch Direction Feature Using a Frequency Distribution in the Writer Verification Base on Finger-Writing of a Simple Symbol -- Self-Supervised Vision Transformers with Data Augmentation Strategies using Morphological Operations for Writer Retrieval -- EAU-Net: A New Edge-Attention based U-Net for Nationality Identification -- Progressive Multitask Learning Network for Online Chinese Signature Segmentation and Recognition -- Symbol and Graphics Recognition -- Musigraph: Optical Music Recognition through Object Detection and Graph Neural Network -- Combining CNN and Transformer as Encoder to Improve End-to-end Handwritten Mathematical Expression Recognition Accuracy -- A Vision Transformer based Scene Text Recognizer with Multi-Grained Encoding and Decoding -- Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression Recognition -- Handwriting Recognition and Understanding -- FPRNet: End-to-end Full-page Recognition Model for Handwritten Chinese Essay -- Active Transfer Learning for Handwriting Recognition -- Recognition-free Question Answering on Handwritten Document Collections -- Handwriting recognition and automatic scoring for descriptive answers in Japanese language tests -- A Weighted Combination of Semantic and Syntactic Word Image Representations -- Combining Self-Training and Minimal Annotations for Handwritten Word Recognition -- Script-Level Word Sample Augmentation for Few-shot Handwritten Text Recognition -- Towards understanding and improving handwriting with AI -- ChaCo: Character Contrastive Learning for Handwritten Text Recognition -- Enhancing Indic Handwritten Text Recognition using Global Semantic Information -- Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-Yi -- Self-Attention Networks for Non-Recurrent Handwritten Text Recognition -- An Efficient Prototype-based Model for Handwritten Text Recognition with Multi-Loss Fusion -- Handwriting Datasets and Synthetic Handwriting Generation -- Urdu Handwritten Ligature Generation using Generative Adversarial Networks (GANs) -- SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout Analysis -- A Benchmark Gurmukhi Handwritten Character Dataset: Acquisition, Compilation, and Recognition -- Synthetic Data Generation for Semantic Segmentation of Lecture Videos -- Generating synthetic styled Chu Nom characters -- UOHTD: Urdu Offline Handwritten Text Dataset -- Document Analysis and Processing -- DAZeTD: Deep Analysis of Zones in Torn Documents -- CNN-based Ruled Line Removal in Handwritten Documents -- Complex Table Structure Recognition in the Wild using Transformer and Identity Matrix-based Augmentation.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022, which took place in Hyderabad, India, during December 4-7, 2022. The 36 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 61 submissions. The ; contributions were organized in topical sections as follows: Historical Document Processing; Signature Verification and Writer Identification; Symbol and Graphics Recognition; Handwriting Recognition and Understanding; Handwriting Datasets and Synthetic Handwriting Generation; Document Analysis and Processing.