Thugga / herausgegeben von Mustapha Khanoussi und Volker Michael Strocka

• Record Nr.: UNISA990003018810203316
• Pubbl/distr/stampa: Mainz am Rhein : P. von Zabern
• Descrizione fisica: v. ; 35 cm.
• Disciplina: 939.73
• Soggetti: Archeologia -- Thugga
• Collocazione: XI.5.B. 368/
• Lingua di pubblicazione: Tedesco
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: In testa al front.: Archaologisches Institut der Albert-Ludwigs-Universitat Freiburg im Breisgau; Institut national du patrimoine, Tunis

Alle origini della parrocchia rurale, 4.-8. sec. : atti della giornata tematica dei seminari di archeologia cristiana, École Française de Rome - 19 marzo 1998 / a cura di Philippe Pergola ; con la collaborazione di Palmira Maria Barbini

• Record Nr.: UNISA990003112290203316
• Pubbl/distr/stampa: Città del Vaticano : Pontificio istituto di archeologia cristiana, 1999
• ISBN: 88-85991-23-8
• Descrizione fisica: 638 p. : ill. ; 25 cm.
• Collana: Sussidi allo studio delle antichità cristiane ; 12
• Disciplina: 930.108821
• Soggetti: Archeologia cristiana - Congressi - Roma - 1998; Parrocchie rurali - Storia - Sec. 4.-8. - Congressi
• Collocazione: S VII b 99
• Lingua di pubblicazione: Italiano; Tedesco; Francese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Teaching music musically / / Keith Swanwick

• Record Nr.: UNINA9910461918903321
• Autore: Swanwick Keith
• Pubbl/distr/stampa: Abingdon, Oxon : , : Routledge, , 2012
• ISBN: 0-429-23496-1; 1-283-46211-7; 9786613462114; 0-203-80200-4; 1-136-62379-5
• Edizione: [Classic ed.]
• Descrizione fisica: 1 online resource (125 p.)
• Collana: Routledge Education Classic edition series
• Disciplina: 780.71
• Soggetti: Music - Instruction and study; School music - Instruction and study; Electronic books.
• 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 and index.
• Nota di contenuto: Front Cover; Teaching Music Musically; Copyright Page; Contents; List of illustrations; Acknowledgements; Preface; Introduction; 1. Musical value; The aesthetic and the artistic; The processes of metaphor; Music as metaphor; The significance of music; 2. Music as culture: the space between; We all have an accent; The space between; The focus of music education; Signs and symbols; The sub-culture of school music; 3. Principles of music education; First principle: care for music as discourse; Second principle: care for the musical discourse of students; Third principle: fluency first and last; Principles in practice: four illustrations4. The why and how of musical assessment; The functions of assessment; The dimensions of musical assessment; Formal assessment and musical quality; Student assessment and curriculum evaluation; 5. What of the future?; Resources beyond the school gate; The issue of authenticity; Institutional treadmills; We know better songs than these; References; Index
• Sommario/riassunto: 'There are countless gems within these pages ... Swanwick seems to write from more experience as a musician and teacher than most ; others who write for this audience. There is a real sense of his having been there.' - Patricia Shehan Campbell, Professor of Music, University of Washington, USA'... contains the essential and highly valued hallmark of its author: well-articulated philosophy that will surely filter through to practical work in classrooms.'- British Journal of Music Education'Among the virtues of this thoughtfu

Computational Diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015 / / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert

• Record Nr.: UNINA9910254075803321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• ISBN: 3-319-28588-2
• Edizione: [1st ed. 2016.]
• Descrizione fisica: 1 online resource (236 p.)
• Collana: Mathematics and Visualization, , 2197-666X
• Disciplina: 616.07548
• Soggetti: Information visualization; Bioinformatics; Mathematics - Data processing; Computer simulation; Computer vision; Biometry; Data and Information Visualization; Computational and Systems Biology; Computational Science and Engineering; Computer Modelling; Computer Vision; Biostatistics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "With 73 Figures, 68 in color."
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: An Efficient Finite Element Solution of the Generalised Bloch-Torrey ; Equation for Arbitrary Domains: L. Beltrachini et al -- Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation: Feng Shi et al -- Holistic Image Reconstruction for Diffusion MRI: V. Golkov et al -- Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI: T. M. Nir et al -- Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squares Variable Separation: H. Farooq et al -- Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers: M. Zucchelli et al -- On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI: A.P. Bates et al -- Estimation of Fiber Orientations Using Neighborhood Information: C. Ye et al -- A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor images: V. Gupta et al -- Alignment of Tractograms as Linear Assignment Problem: N. Sharmin -- Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo: H. Wu et al -- Adaptive Enhancement in Diffusion MRI Through Propagator Sharpening: T. Dela Haije et al -- Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer: Geng Chen et al -- Crossing versus Fanning: Model Comparison Using HCP Data: A. Ghosh et al -- White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss: G. Zimmerman Moreno et al -- A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study: M. Pizzolato et al -- Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching: J. Ceranka et al -- HARDI Feature Selection, Registration and Atlas Building for A$\beta$ Pathology Classification: E. Schwab et al -- Reliability of Structural Connectivity Examined with Four Different Diffusion Reconstruction Methods at Two Different Spatial and Angular Resolutions: J. E. Villalon-Reina et al.
• Sommario/riassunto: These Proceedings of the 2015 MICCAI Workshop “Computational Diffusion MRI” offer a snapshot of the current state of the art on a broad range of topics within the highly active and growing field of diffusion MRI. The topics vary from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms, new computational methods applied to diffusion magnetic resonance imaging data, and applications in neuroscientific studies and clinical practice. Over the last decade interest in diffusion MRI has exploded. The technique provides unique insights into the microstructure of living tissue and enables in-vivo connectivity mapping of the brain. Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into clinical practice. New processing methods are essential for addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting,image processing, fiber tracking, connectivity mapping, visualization, group studies and inference. This volume, which includes both careful mathematical derivations and a wealth of rich, full-color visualizations and biologically or clinically relevant results, offers a valuable starting point for anyone interested in learning about computational diffusion MRI and mathematical methods for mapping brain connectivity, as well as new perspectives and insights on current research challenges for those currently working in the field. It will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.