1,720,962 research outputs found
On the origin of the “wild vine” botanical lexicon: From the Greek ampelos to the Latin labrusca
The “wild vine” (Vitis vinifera subsp. sylvestris) is considered the wild ancestor of the modern vines belonging to Vitis vinifera. Although it is currently of a low taxonomic value, it is mentioned above all in the historical literary sources. Although it is currently of a low taxonomic value, this botanical lexicon is mostly mentioned in the historical literary sources. In this work, for the first time, a synthesis of the available data was carried out through a detailed analysis of the literature sources considered pertinent. The first mentions of the “wild vine” were found in Homer’s Odyssey, the Greek epic poem probably composed between the eighth and seventh centuries BC
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Intercomparison of inversion algorithms to retrieve rain-rate from SSM/I by using an extended validation set over the Mediterranean area
Abstract—The capability of some inversion algorithms to estimate
surface rain rate at the midlatitude basin scale from the
Special Sensor Microwave Imager (SSM/I) data is analyzed.
For this purpose, an extended database has been derived from
coincident SSM/I images and half-hourly rain rate data obtained
from a rain gauge network, placed along the Tiber River basin in
Central Italy, during nine years (from 1992 to 2000). The database
has been divided in a training set, to calibrate the empirical
algorithms, and in a validation one, to compare the results of the
considered techniques. The proposed retrieval methods are based
on both empirical and physical approaches. Among the empirical
methods, a regression, an artificial feedforward neural network,
and a Bayesian maximum a posteriori (MAP) inversion have
been considered. Three algorithms available in the literature are
also included as benchmarks. As physical algorithms, the MAP
method and the minimum mean square estimator have been used.
Moreover, in order to test the behavior of the algorithms with
different kinds of precipitation, a classification of rainy events,
based on some statistical parameters derived from rain gauge
measurements, has been performed. From this classification, an
attempt to identify the type of event from radiometric data has
been carried out. The purposes of this paper are to determine
whether the use of an extended training set, referred to a limited
geographical area, can improve the SSM/I skill in rain detection
and estimation and, mainly, to confirm the validity of the physical
approach adopted in previous works. It will be shown that,
among all the estimators, the neural network presents the best
performances and that the physical techniques provide results
only slightly worse than those given by empirical methods, but
with the well-known advantage of an easy application to different
geographical zones and different sensors
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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