Tabla de Contenidos: “…Methods Of Assessing Development Change And Continuity -- Developmental Sequences -- Rule-Assessment Methods -- EXAMPLES OF PROMISING NEW DIRECTIONS -- Cognitive Development And Emotional Dynamics -- Children's Conceptions Of Emotions -- Emotional Reorganizations -- Freudian Processes -- Research On Emotions -- Relations Between Brain Changes And Cognitive Development -- Cognitive Development And Modes Of Social Interaction -- Guided Reinvention Within Dyadic Goal-Directed Activity -- Embedded Teaching And Formal Schooling -- Collaboration Not Conservation -- The Effects Of Schooling And Other Literate Practices -- Defining Literacy -- Characterizing The Range Of Literate Practices -- Methods For Assessing The Cognitive Effects Of Literate Practices -- An Emerging Consensus -- Literate Practices And Schooling -- SUMMARY AND CONCLUSIONS -- A Portrait Of The Capacities Of The School-Age Child -- What Is Not Known -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 4 Self-Understanding And Self-Regulation In Middle Childhood -- Regulation Of Behavior: The Self-System And The Social System -- Self-Concept Tasks Of Middle Childhood -- RESEARCH ON SELF-UNDERSTANDING -- Self-Description: From Concrete To Abstract -- Beyond Self-Description -- The Self-Concept In Information Processing -- RESEARCH ON SELF-REGULATION -- Implications From Ego Psychology -- Social Learning Theory And Self-Management -- Cognitive/Behavior Modification -- Component Models Of Self-Regulation -- The Need For Integrative And Developmental Perspectives -- MODERATING VARIABLES: SELF-SYSTEM AND SOCIAL SYSTEM -- Variation In The Self-System -- Self-Awareness -- Self-Presentation -- Variations In The Social System -- Social Class -- Ethnicity -- Other Social System Variables -- METHODOLOGY -- CONCLUSION -- REFERENCES -- Chapter 5 Middle Childhood In The Context Of The Family…”

Tabla de Contenidos: “…CHILD AND ADOLESCENT PSYCHIATRY -- Psychiatric Assessment of Children and Adolescents -- The Interview -- Mental Status Examination -- Rating Scales -- Medical Evaluation -- Psychological Assessment -- Anxiety Disorders -- Diagnostic and Clinical Features -- Differential Diagnosis -- Treatment and Prognosis -- Somatoform Disorders -- Diagnostic and Clinical Features -- Differential Diagnosis -- Etiology -- Treatment and Prognosis -- Mood Disorders -- Diagnostic and Clinical Features -- Differential Diagnosis -- Treatment and Prognosis -- Disruptive Behavior Disorders -- Diagnostic and Clinical Features -- Differential Diagnosis -- Etiology -- Treatment and Prognosis -- Learning, Motor Skills, and Communication Disorders -- Diagnostic and Clinical Features -- Etiology and Treatment -- Mental Retardation…”

Tabla de Contenidos: “…10.3.2: Measuring the Ease of Deployment -- 10.4: Results -- 10.4.1: Inference Results -- 10.4.2: Perceived Effort -- 10.5: Conclusion -- References -- Chapter 11: Efficient Edge Deployment Demonstrated on YOLOv5 and Coral Edge TPU -- 11.1: Introduction -- 11.2: Related Work -- 11.3: Experimental Setup -- 11.3.1: Google Coral Edge TPU -- 11.3.2: YOLOv5 -- 11.4: Performance Considerations -- 11.4.1: Graph Optimization -- 11.4.1.1: Incompatible Operations -- 11.4.1.2: Tensor Transformations -- 11.4.2: Performance Evaluation -- 11.4.2.1: Speed-Accuracy Comparison -- 11.4.2.2: USB Speed Comparison -- 11.4.3: Deployment Pipeline -- 11.5: Conclusion and Future Work -- References -- Chapter 12: Embedded Edge Intelligent Processing for End-To-End Predictive Maintenance in Industrial Applications -- 12.1: Introduction and Background -- 12.2: Machine and Deep Learning for Embedded Edge Predictive Maintenance -- 12.3: Approaches for Predictive Maintenance -- 12.3.1: Hardware and Software Platforms -- 12.3.2: Motor Classification Use Case -- 12.4: Experimental Setup -- 12.4.1: Signal Data Acquisition and Pre-processing -- 12.4.2: Feature Extraction, ML/DL Model Selection and Training -- 12.4.3: Optimisation and Tuning Performance -- 12.4.4: Testing -- 12.4.5: Deployment -- 12.4.6: Inference -- 12.5: Discussion and Future Work -- References -- Chapter 13: AI-Driven Strategies to Implement a Grapevine Downy Mildew Warning System -- 13.1: Introduction -- 13.2: Research Material and Methodology -- 13.2.1: Datasets -- 13.2.2: Labelling Methodology -- 13.3: Machine Learning Models -- 13.4: Results -- 13.4.1: Primary Mildew Infection Alerts -- 13.4.2: Secondary Mildew Infection Alerts -- 13.5: Discussion -- 13.6: Conclusion -- References -- Chapter 14: On the Verification of Diagnosis Models -- 14.1: Introduction -- 14.2: The Model Testing Challenge -- 14.3: Use Case…”