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Record Nr. |
UNINA9910137207003321 |
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Autore |
Anne M Donnellan |
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Titolo |
Autism [[electronic resource] ] : the movement perspective / / topic editors: Elizabeth B. Torres and Anne M. Donnellan |
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Pubbl/distr/stampa |
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Frontiers Media SA, 2015 |
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[Lausanne, Switzerland] : , : Frontiers Media SA, , 2015 |
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Descrizione fisica |
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1 online resource (374 pages) : illustrations (colour); digital, PDF file(s) |
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Collana |
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Frontiers Research Topics |
Frontiers in Integrative Neuroscience |
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Soggetti |
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Autism |
Autism - Research |
Perceptual-motor processes |
Sensory integration dysfunction |
Psychiatric Disorders, Individual |
Psychiatry |
Health & Biological Sciences |
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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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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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Autism Spectrum Disorders (ASD) are portrayed as cognitive and social disorders. Undoubtedly, impairments in communication and restricted-repetitive behaviors that define the disorders have a profound impact on social interactions. But can we go beyond the descriptive nature of this definition and objectively measure behavior? In this Research Topic we bring movement to the forefront of autism research, diagnosis, and treatment. We gather researchers across disciplines with the unifying goal of recognizing movement and sensory disturbances as core symptoms of the disorder. We will present evidence that profound movement and sensory differences exist in ASD that can be characterized in a way that is conducive with new behavioral treatments, an advantage over observational inventories. We will show that movement patterns can be used to identify sub-types of autism |
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and to design target treatments tailored to each individual. We will show that, when utilizing motor behavior in conjunction with cognitive tasks, we can unveil the best sensory capabilities of each child as well as their unique predispositions to learn. Many individuals on the spectrum have been perceived as "non-verbal" because they do not speak. Yet, they can communicate through other means. In the absence of spoken language, movement research can open a door into sensorially-driven and gestural forms of communication. Movement can be used to amplify and modulate the sensory signal and help connect individuals with themselves and with their physical and social surroundings. Movement can help us evoke in each child the will to leave “the autistic bubble” and explore the world. We seek to standardize our measurements and definitions of movement abnormalities in autism relative to cognitive and social capabilities both at the individual level and within a social group. We will argue that movement, its sensation and its perception, will play a fundamental role in objectively measuring and standardizing autism: Its diagnosis, its treatment, and the tracking of an individual’s changes over time. We will redefine autism from the motor perspective—in closed loop with cognition—in such a way that cognitive and motor behaviors reshape each other to help evoke social awareness. While psychologists, psychiatrists, and cognitive scientists have provided an important conceptual framework to define the most obvious problems of the autistic behavior—those centered at the social and cognitive issues—we gather here occupational therapists, physical therapists, movement disorders specialists, the fellows in movement science, kinesiology and computational motor control, the pediatricians, and the teachers of children with ASD to focus on important sensory-motor differences that can be used to revise our definitions of ASD and unambiguously define its subtypes. We will move into action to go beyond subjective inferences to objectively understand real, physical behaviors using unprecedentedly fast and formal methods that can complement pencil-and-paper inventories. We will let the autistic body move and teach us what it feels, what it senses, and what it says. In turn, we will teach it to reach out into the world and seek communication. We will let those labeled “high-functioning” and “low-functioning” alike unlock their potential. We will use natural, physical motions to open new channels of sensorial and gestural communication. We will let movement play the transformative role that it can in broadening the spectrum of basic research in ASD to bring out the hidden inner voices of autism. |
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2. |
Record Nr. |
UNINA9910584481803321 |
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Autore |
Vaisman Alejandro |
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Titolo |
Data Warehouse Systems : Design and Implementation / / by Alejandro Vaisman, Esteban Zimányi |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[2nd ed. 2022.] |
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Descrizione fisica |
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1 online resource (713 pages) |
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Collana |
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Data-Centric Systems and Applications, , 2197-974X |
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Disciplina |
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Soggetti |
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Database management |
Information storage and retrieval systems |
Information technology - Management |
Database Management |
Information Storage and Retrieval |
Business IT Infrastructure |
Computer Application in Administrative Data Processing |
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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 (pages 647-665) and index. |
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Nota di contenuto |
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Part I: Fundamental Concepts -- 1. Introduction -- 2. Database Concepts -- 3. Data Warehouse Concepts -- 4. Conceptual Data Warehouse Design -- 5. Logical Data Warehouse Design -- 6. Data Analysis in Data Warehouses -- 7. Data Analysis in the Northwind Data Warehouse -- Part II: Implementation and Deployment -- 9. Physical Data Warehouse Design -- 9. Extraction, Transformation, and Loading -- 10. A Method for Data Warehouse Design -- Part III: Advanced Topics -- 11. Temporal and Multiversion Data Warehouses -- 12. Spatial and Mobility Data Warehouses -- 13. Graph Data Warehouses -- 14. Semantic Web Data Warehouses -- 15. Recent Developments in Big Data Warehouses. |
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Sommario/riassunto |
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With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data |
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warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQLdatabase systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece. |
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