130,763 research outputs found
Recensione a: La Sardegna romana e alto-medievale. Storia e materiali, a cura di S. Angiolillo, R. Martorelli, M. Giuman, A.M. Corda, D. Artizzu, Carlo Delfino Editore (Corpora delle antichità della Sardegna), Sassari 2017, pp. 493, ISBN 9788871389608
No full textReview to: La Sardegna romana e alto-medievale. Storia e materiali, a cura di S. Angiolillo, R. Martorelli, M. Giuman, A.M. Corda, D. Artizzu, Carlo Delfino Editore (Corpora delle antichità della Sardegna), Sassari 2017, pp. 493, ISBN 9788871389608
Recensione a: La Sardegna romana e alto-medievale. Storia e materiali, a cura di S. Angiolillo, R. Martorelli, M. Giuman, A.M. Corda, D. Artizzu, Carlo Delfino Editore (Corpora delle antichità della Sardegna), Sassari 2017, pp. 493, ISBN 978887138960
La ‘Casa dei Mosaici’: una domus nella Iasos romana
No full textThe work focuses on the analysis of 15 years of excavation by University of Cagliari at the Casa dei Mosaici of Iasos of Kari
rec. a D. von Boeselager, Antike Mosaiken in Sizilien. Hellenismus und römische Kaiserzeit, 3. Jahrhundert v. Chr. - 3. Jahrhundert n. Chr., Roma 1983
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.
Effects of Lippia citriodora leaf extract on lipid and oxidative blood profile of volunteers with hypercholesterolemia: A preliminary study
No full textLippia citriodora is a plant traditionally used for its anti-inflammatory, antioxidant and antispasmodic effects, as well as for additional biological activities proven in cell culture, animal studies and a small number of human clinical trials. The plant has also shown a marked improvement in blood lipid profile in some animal species. In the present preliminary study, we investigated the effect of a leaf extract on lipid and oxidative blood profile of hypercholesterolemic volunteers. Twelve adults received Lippia citriodora extract caps, containing 23% phenylpropanoids, (100 mg, once a day) for 16 weeks. Selected blood lipids and plasma oxidative markers were measured at baseline and after 4, 8 and 16 weeks of treatment. Compared with baseline, total cholesterol levels significantly decreased and high-density lipoprotein cholesterol increased, while low-density lipoprotein cholesterol and triglycerides showed only a downward trend. Oxidative status was improved due to a decrease in the concentration of total oxidant status, reactive oxygen metabolites and malondialdehyde, and a significant increase in ferric reducing ability of plasma, vitamin A and vitamin E. These preliminary results suggest that dietary supplementation with Lippia citriodora extract can improve the lipid profile, enhance blood antioxidant power, and could be a valuable natural compound for the management of human hypercholesterolemia
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