131,649 research outputs found
Vente de tableaux anciens en la maison de Mme de Cottin... 21 avril 1872...
No full text[Vente. Art. 1872-04-21. Charenton][Collection. Art. Cottin, Madame de. 1872]Référence bibliographique : Lugt, 33117Appartient à l’ensemble documentaire : VenteEST2Avec mode text
Du flux et reflux de la mer et des longitudes
No full textSign. : [], [calderón]-2[calderón], A-2YPort. con esc. real xilIlustracións xi
Décret concernant les sieurs Jauge et Cottin, banquiers à Paris, lors de la séance du 20 septembre 1791
No full textAndré Antoine Balthazar d'. Décret concernant les sieurs Jauge et Cottin, banquiers à Paris, lors de la séance du 20 septembre 1791. In: Archives Parlementaires de 1787 à 1860 - Première série (1787-1799) Tome XXXI - Du 17 au 30 septembre 1791. Paris : Librairie Administrative P. Dupont, 1888. p. 91
Décret concernant les sieurs Jauge et Cottin, banquiers à Paris, lors de la séance du 20 septembre 1791
No full textAndré Antoine Balthazar d'. Décret concernant les sieurs Jauge et Cottin, banquiers à Paris, lors de la séance du 20 septembre 1791. In: Archives Parlementaires de 1787 à 1860 - Première série (1787-1799) Tome XXXI - Du 17 au 30 septembre 1791. Paris : Librairie Administrative P. Dupont, 1888. p. 91
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
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
Création d\u27un service de documentation juridique (la)
No full textMémoire de DESS de l\u27Institut d\u27Etudes Politiques de Paris, cycle supérieur de spécialisation en information et documentation
"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.
- …
