130,379 research outputs found
Il rischio infettivo occupazionale: indagine sugli incidenti negli operatori sanitari del Complesso Ospedale -Università di Sassari
No full textIndagine sugli incidenti a rischio infettivo nel Complesso Ospedale-Università di Sassari durante il periodo 1995-2000
No full textTo study professional exposure to biological materials an investigation was carried out in the Hospital-University Complex of Sassari during the period January 1st 1995-December 31 2000. 1003 occupational accidents were notified (incidence rate=6%). Infirmaries were the most at risk category (45%) and about the half part of the accidents occurred in surgical area (44.7%). The most frequent accident was needle puncture (53%); exposure involved principally the hands (76.3%). The basal serology of injured personnel showed low positivity for any HBV markers (72.7%), HCV (0.4%) and no positivity for HIV; while high levels were found among source patients. From the comparison between serological data (injured vs source), when ascertainable, emerged a biological hazard of 7.7% for HBV, 30.2% for HCV and 3.2% for HIV; however no seroconversions were observed at follow up. The study also pointed out the need of improve prevention programme
EPIDEMIOLOGIA E PROFILASSI DELLE INFEZIONI OSPEDALIERE NELLA U.S.L. DI SASSARI. RISULTATI DI UN PROGRAMMA DI MONITORAGGIO E CONTROLLO
No full textMeSH 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
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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"
No full textBoth 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.
Caricatura. Miguel de Unamuno por Bagaria. Reproducida en "La Esfera" en "Don Miguel el agorero" de D. Pérez. (Firma de Bagaria. Existe una copia en papel, medidas 13'3 x 8'6, gelatina D.O.P. mate con base de papel con tono marfil. Papel fotográfico de marca "Valca").
No full text1 fot.; cristal; - Caricatura. Miguel de Unamuno por Bagaria. Reproducida en "La Esfera" en "Don Miguel el agorero" de D. Pérez. (Firma de Bagaria. Existe una copia en papel, medidas 13'3 x 8'6, gelatina D.O.P. mate con base de papel con tono marfil. Papel fotográfico de marca "Valca"). - Procedencia: fondo Miguel de Unamuno. - Buena Conservación
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
No full textAt 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
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