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1. |
Record Nr. |
UNINA9910797376503321 |
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Autore |
Levy Michael S. |
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Titolo |
Celebrity and entertainment obsession : understanding our addiction / / Michael S. Levy |
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Pubbl/distr/stampa |
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Lanham, Maryland : , : Rowman & Littlefield, , [2015] |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (251 p.) |
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Disciplina |
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Soggetti |
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Celebrities |
Fans (Persons) - Psychology |
Fame - Psychological aspects |
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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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Description based upon print version of record. |
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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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Contents; Introduction; Part I: The Human Species; 1 Entertainment and Novelty; 2 The Irresistibility of Beauty; 3 Sociability; 4 An Addictive Vulnerability; 5 Our Need for Idols; 6 Self-Esteem; Part II: The Social Scene; 7 Alienation and Isolation; 8 What Makes Us Feel Good?; 9 Mass Media; Part III: The Perfect Storm; 10 Entertainment Addiction; 11 Entertainment As Life Fulfillment; 12 Transformation and Obsession; 13 They Got What I Want; 14 Voyeurism Exploited; Epilogue; Notes; References; Index; About the Author |
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Sommario/riassunto |
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<span><span>In a world where information is instantaneous, and celebrities are made overnight, what makes us stop and stare at famous entertainers, spend our money on tabloids, and glue our eyes to the television? Here, Michael Levy explores the psychological nature of our obsession and offers suggestions for tempering our responses to celebrity culture.</span></span> |
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2. |
Record Nr. |
UNINA9910502997603321 |
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Titolo |
Topological Methods in Data Analysis and Visualization VI : Theory, Applications, and Software / / edited by Ingrid Hotz, Talha Bin Masood, Filip Sadlo, Julien Tierny |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (372 pages) |
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Collana |
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Mathematics and Visualization, , 2197-666X |
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Disciplina |
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Soggetti |
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Information visualization |
Topology |
Computer graphics |
Computer science |
Geometry |
Algorithms |
Computer software |
Data and Information Visualization |
Computer Graphics |
Computational Geometry |
Mathematical Software |
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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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Scalar Field Topology–Algorithms and Applications -- W-Structures in Contour Trees -- Treemap Based Exploration of Merge Trees -- Notes on Percolation Analysis of Sampled Scalar Fields -- Distributed Task-Parallel Topology-Controlled Volume Rendering -- Topology-Based Tracking of Multi-Center Cyclones -- Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes -- Topological Methods in Complex Fields–Flow Fields, Tensor Fields, and Multi-fields -- Objective Finite-Time Flow Topology from Flowmap Expansion and Contraction -- Coreline Criteria for Inertial Particle Motion -- Implicit Visualization of 2D Vector Field Topology for Periodic Orbit Detection -- Visually Evaluating Topological Equivalence |
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of Bounded Bivariate Fields -- Topological Feature Search in Time-Varying Multifield Data -- Tensor Fields for Data Extraction from Chart Images: Bar Charts, Histograms, and Scatter Plots -- Topology for Geometric Data -- A Fast Approximate Skeleton with Guarantees for Any Cloud of Points in a Euclidean Space -- Topologically Robust B-Spline Reconstruction of Fibers from 3D Images -- Introduction to Vector Field Topology -- An Overview of the Topology ToolKit -- Implementing Persistence-Based Clustering of Point Clouds in the Topology ToolKit -- TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives. |
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Sommario/riassunto |
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This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world’s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed. . |
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