Museum Worthy

Museum Worthy
Author: Elizabeth Campbell
Publisher: Oxford University Press
Total Pages: 361
Release: 2024-01-23
Genre: Art
ISBN: 0190051981

Museum Worthy examines the history behind works of art that were looted in western Europe by the Nazis during the Second World War and never returned to their rightful owners, instead claimed by postwar governments of France, Belgium, and the Netherlands for display in museums, embassies, ministries, and other public buildings.

Bayesian Networks in Educational Assessment

Bayesian Networks in Educational Assessment
Author: Russell G. Almond
Publisher: Springer
Total Pages: 678
Release: 2015-03-10
Genre: Social Science
ISBN: 1493921258

Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume’s grounding in Evidence-Centered Design (ECD) framework for assessment design. This “design forward” approach enables designers to take full advantage of Bayes nets’ modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD, situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics. This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources.

Defending National Treasures

Defending National Treasures
Author: Elizabeth Karlsgodt
Publisher: Stanford University Press
Total Pages: 388
Release: 2011-04-07
Genre: History
ISBN: 0804777829

Defending National Treasures explores the fate of art and cultural heritage during the Nazi occupation of France. The French cultural patrimony was a crucial locus of power struggles between German and French leaders and among influential figures in each country. Karlsgodt examines the preservation policy that the Vichy regime enacted in an assertion of sovereignty over French art museums, historic monuments, and archeological sites. The limits to this sovereignty are apparent from German appropriations of public statues, Jewish-owned art collections, and key "Germanic" works of art from French museums. A final chapter traces the lasting impact of the French wartime reforms on preservation policy. In Defending National Treasures, Karlsgodt introduces the concept of patrimania to reveal examples of opportunism in art preservation. During the war, French officials sought to acquire coveted artwork from Jewish collections for the Louvre and other museums; in the early postwar years, they established a complicated guardianship over unclaimed art recovered from Germany. A cautionary tale for our own times, Defending National Treasures examines the ethical dimensions of museum acquisitions in the ongoing noble quest to preserve great works of art.

High-Performance Computing of Big Data for Turbulence and Combustion

High-Performance Computing of Big Data for Turbulence and Combustion
Author: Sergio Pirozzoli
Publisher: Springer
Total Pages: 250
Release: 2019-05-28
Genre: Technology & Engineering
ISBN: 3030170128

This book provides state-of-art information on high-accuracy scientific computing and its future prospects, as applicable to the broad areas of fluid mechanics and combustion, and across all speed regimes. Beginning with the concepts of space-time discretization and dispersion relation in numerical computing, the foundations are laid for the efficient solution of the Navier-Stokes equations, with special reference to prominent approaches such as LES, DES and DNS. The basis of high-accuracy computing is rooted in the concept of stability, dispersion and phase errors, which require the comprehensive analysis of discrete computing by rigorously applying error dynamics. In this context, high-order finite-difference and finite-volume methods are presented. Naturally, the coverage also includes fundamental notions of high-performance computing and advanced concepts on parallel computing, including their implementation in prospective hexascale computers. Moreover, the book seeks to raise the bar beyond the pedagogical use of high-accuracy computing by addressing more complex physical scenarios, including turbulent combustion. Tools like proper orthogonal decomposition (POD), proper generalized decomposition (PGD), singular value decomposition (SVD), recursive POD, and high-order SVD in multi-parameter spaces are presented. Special attention is paid to bivariate and multivariate datasets in connection with various canonical flow and heat transfer cases. The book mainly addresses the needs of researchers and doctoral students in mechanical engineering, aerospace engineering, and all applied disciplines including applied mathematics, offering these readers a unique resource.