132,131 research outputs found
Recent Perceptions of Rural Australia in Italian and Italian Australian Narrative
No full textItalian settlement in rural and outback areas of Australia during the late 1800s and early 1900s has remained a largely unsung saga while most Italians migrating to Australia after 1947 ultimately settled in urban areas. Few narrative writers have written about non-urban Australia in substantially social realist terms. More recently, this trend had taken a post-modern perspective in a few Italian Australian and Italian writers who depict the Australian outback as providing a solution to the protagonists' life quest and promote a discourse on nature as a dynamic, positive and vital element that contrasts with man's static negativism
Storia di Treviso,a cura di E. Brunetta, II: Il medioevo, a cura di D. Rando e G. M. Varanini, Venezia, Marsilio,
No full textNumerical Experimentation with the Roulier-Rando Fairness Metrics
No full textThe Roulier-Rando fairness metrics attempt to quantify the difference between a surface and a perfectly fair shape, e.g., sphere, cylinder, plane, that the surface should locally resemble. In this paper, the Roulier-Rando metrics are firstly expressed for arbitrarily parametrized surfaces. Next, the authors' numerical experience with an implementation of the metrics is presented and illustrated by means of one example of academic and one example of industrial interest
Avignone nel cuore d ́Europa: esilio e ́piccola patria ́ in Opizzino de Canistris
No full textesilio, Avignone, cattività avignonese, cartografia medieval
Medicina, musica e politica fra "Studia" e corti. Hermann Poll, ca 1370-1401
No full textHermann Poll, medicina e musica alle corti e alle università di Vienna, Padova e Pavia alla fine del Trecento. Storia della cultura, transfer culturale, invenzione del clavicembal
Kantorowicz e il corpus mysticum: osservazioni sul quinto capitolo de I due corpi del re
No full textMain Fuel Cells mathematical models: Comparison and analysis in terms of free parameters
No full textThis paper resumes the main mathematical models of Fuel Cells (PEM models). In particular, a comparison study of the various models introduced in the technical literature is presented and the dependency of the various model parameters is analyzed in different operating conditions. As the manifold of the model parameter is very wide and their determination is difficult, it is mandatory to introduce approximations and simplifications on which each model is based. The novelty of this work is the organization of the existing models in three categories with regard to the number of free parameters and to the dependency of such parameters on the different running conditions and the usage of a reference model in order to compare the difference between the latter once both in terms of fast execution of the simulation and care of the simulation results
Comparison of the dosimetric parameters of each plan from the RANDO phantom study.
No full text<p>D<sub>max</sub>: maximum dose of the target volume; D<sub>min</sub>: minimum dose of the target volume; D<sub>mean</sub>: mean dose of the target volume; D<sub>90%</sub>: the dose that covers 90% of the target volume; V<sub>90%</sub>: the target volume that received over 90% of the prescribed dose.</p><p>Comparison of the dosimetric parameters of each plan from the RANDO phantom study.</p
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
- …
