130,775 research outputs found
La negatività eversiva del canto leopardiano, intervista a Claudio Longhi
Contributo teso a portare in luce in forma dialogica le principali direttrici interpretative sottese all’allestimento di “Leopardi”, cabaret filosofico diretto da chi scrive per il Teatro Stabile di Torino sulla base di un montaggio di testi leopardiani curato sempre da chi scrive e debuttato il 9 novembre del 2005 presso il Teatro Vittoria di Torino. Il breve testo chiarisce come al fondo dello spettacolo citato stia una ricognizione sistematica delle diverse declinazioni di quella sorta di filosofia del riso che Leopardi inscrive allegoricamente tra le pieghe della sua opera. Tentando di oggettivare il sinuoso ed ambiguo dispiegarsi del discorso leopardiano tra monologo soggettivo e dialogo, il copione, che assembla frammenti dei “Canti” e delle “Operette Morali” sullo scheletro portante del “Discorso sullo stato presente dei costumi degli italiani”, è letto, nell’intervista, come una sorta di mappa del pensiero dell’autore. La radicale negazione dell’antropocentrismo che innerva tanta parte della prosa e dei versi leopardiani sempre fluttuanti sull’interminata vastità dell’infinito cosmico, la marginalità dello scrittore – che sa scrutare le «magnifiche sorti e progressive» del suo tempo dall’eremo di Recanati e che proprio del suo vivere ai margini sa nutrire, però, la spietata profondità del suo sguardo –, così come l’annichilente ironia del poeta, sono assunti nello scritto come prove della sconvolgente e inattualissima attualità di Leopardi, proposto nello spettacolo quale lancinante profeta della nostra contemporaneità. Il contributo si sofferma infine sull’analisi della complessa relazione esistente tra musica e poesia e sul tentativo di creare un ponte tra la cultura tedesca e Leopardi, per il tramite di reagenti estetici come le composizioni di Schubert e Schumann utilizzate quali proiezioni e matrici musicali della scrittura del poeta marchigiano
MeSH term explosion and author rank improve expert recommendations
Information 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
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Fusion of Radio and Video Localization for People Tracking
In this paper we introduce a hybrid people tracking system based on the combined use of RFID UWB technology and computer vision techniques. The proposed system takes advantage of the different characteristics of the vision and wireless subsystems to achieve better accuracy and reliability for people tracking. Moreover data gained from the subsystems can be used for a more complex context capture system and can be seen as an enabler of a number of application from video-surveillance to Ambient Intelligence scenarios. Different scenarios have been tested to assess the feasibility and performance of the system. Experimental results demonstrate advantages in people tracking tasks encouraging further researches
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
This article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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