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1. |
Record Nr. |
UNISA996313849303316 |
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Autore |
BAVA, Fabrizio |
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Titolo |
La revisione del bilancio. Risk approach : revisione delle voci del bilancio e verifica del goig concern / Fabrizio Bava |
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Pubbl/distr/stampa |
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Milano : Giuffrè Francis Lefebvre, 2019 |
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ISBN |
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Edizione |
[2.ed] |
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Descrizione fisica |
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Collana |
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Manuali di formazione e di consultazione |
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Disciplina |
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Soggetti |
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Bilancio - Revisione - Legislazione - Italia |
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Collocazione |
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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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2. |
Record Nr. |
UNISA996552359003316 |
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Autore |
Belenky Masha |
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Titolo |
Engine of modernity : : The omnibus and urban culture in nineteenth-century Paris / / Masha Belenky |
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Pubbl/distr/stampa |
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[s.l.] : , : Manchester University Press, , 2020 |
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ISBN |
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Descrizione fisica |
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Collana |
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Interventions: Rethinking the Nineteenth Century |
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Disciplina |
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Soggetti |
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Literary Criticism / Modern / 19th Century |
Literature - History and criticism |
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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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Sommario/riassunto |
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"Engine of Modernity: The Omnibus and Urban Culture in Nineteenth-Century Paris" examines the connection between public transportation and popular culture in nineteenth-century Paris through a focus on the omnibus - a horse-drawn vehicle for mass urban transport which enabled contact across lines of class and gender. A major advancement in urban locomotion, the omnibus generated innovations in social practices by compelling passengers of diverse backgrounds to interact within the vehicle's close confines. Although the omnibus itself did not actually have an engine, its arrival on the streets of Paris and in the pages of popular literature acted as a motor for a fundamental cultural shift in how people thought about the city, its social life, and its artistic representations. At the intersection of literary criticism and cultural history, "Engine of Modernity" argues that for nineteenth-century French writers and artists, the omnibus was much more than a mode of transportation. It became a metaphor through which to explore evolving social dynamics of class and gender, meditate on the meaning of progress and change, and reflect on one's own literary and artistic practices. |
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3. |
Record Nr. |
UNINA9910299992203321 |
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Titolo |
Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data / / edited by Carl-Fredrik Westin, Anna Vilanova, Bernhard Burgeth |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (346 p.) |
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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 |
Differential equations |
Geometry, Differential |
Image processing - Digital techniques |
Computer vision |
Computer graphics |
Mathematical physics |
Data and Information Visualization |
Differential Equations |
Differential Geometry |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Computer Graphics |
Theoretical, Mathematical and Computational Physics |
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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 at the end of each chapters and index. |
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Nota di contenuto |
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Part I: Tensor Data Visualization: Top Challenges in the Visualization of Engineering Tensor Fields: M Hlawitschka et al -- Tensor Invariants and Glyph Design: A. Kratz et al -- Part II: Representation and Processing of Higher-order Descriptors: Monomial Phase: A Matrix Representation of Local Phase: H. Knutsson et al -- Order Based Morphology for Colour Images via Matrix Fields: B. Burgeth et al -- Sharpening Fibers in Diffusion Weighted MRI via Erosion: T.C.J. Dela Haije et al -- Part |
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III: Higher Order Tensors and Riemannian-Finsler Geometry: Higher-Order Tensors in Diffusion Imaging: Thomas Schultz et al -- 4th Order Symmetric Tensors and Positive ADC Modelling: A. Ghosh et al -- Riemann-Finsler Geometry for Diffusion Weighted Magnetic Resonance Imaging: L.Florack et al -- Riemann-Finsler Multi-Valued Geodesic Tractography for HARDI: N.Sepasian et al -- Part IV: Tensor Signal Processing: Kernel-based Morphometry of Diffusion Tensor Images: M. Ingalhalikar et al -- The Estimation of Free-Water Corrected Diffusion Tensors: O. Pasternak et al -- Techniques for Computing Fabric Tensors: A Review: R. Moreno et al -- Part V: Applications of tensor processing: Tensors in Geometry Processing: E. Zhang -- Preliminary findings in diagnostic prediction of schizophrenia using diffusion tensor imaging: Y.Rathi et al -- A System for Combined Visualization of EEG and Diffusion Tensor Imaging TractographyData: A. Wiebel et al. |
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Sommario/riassunto |
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Arising from the fourth Dagstuhl conference entitled Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data (2011), this book offers a broad and vivid view of current work in this emerging field. Topics covered range from applications of the analysis of tensor fields to research on their mathematical and analytical properties. Part I, Tensor Data Visualization, surveys techniques for visualization of tensors and tensor fields in engineering, discusses the current state of the art and challenges, and examines tensor invariants and glyph design, including an overview of common glyphs. The second Part, Representation and Processing of Higher-order Descriptors, describes a matrix representation of local phase, outlines mathematical morphological operations techniques, extended for use in vector images, and generalizes erosion to the space of diffusion weighted MRI. Part III, Higher Order Tensors and Riemannian-Finsler Geometry, offers powerful mathematical language to model and analyze large and complex diffusion data such as High Angular Resolution Diffusion Imaging (HARDI) and Diffusion Kurtosis Imaging (DKI). A Part entitled Tensor Signal Processing presents new methods for processing tensor-valued data, including a novel perspective on performing voxel-wise morphometry of diffusion tensor data using kernel-based approach, explores the free-water diffusion model, and reviews proposed approaches for computing fabric tensors, emphasizing trabecular bone research. The last Part, Applications of Tensor Processing, discusses metric and curvature tensors, two of the most studied tensors in geometry processing. Also covered is a technique for diagnostic prediction of first-episode schizophrenia patients based on brain diffusion MRI data. The last chapter presents an interactive system integrating the visual analysis of diffusion MRI tractographywith data from electroencephalography. |
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