1,721,157 research outputs found
Illustration of nonlinear dependence of m-Tau maxima.
No full text<p>The red square symbols denote data points , according to <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002625#pcbi-1002625-g003" target="_blank">Figure 3<i>a</i></a> from reference <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002625#pcbi.1002625-Gabbiani1" target="_blank">[26]</a>). In order to illustrate the nonlinear behavior of m-Tau, for each of these points an instance of m-Tau was created, such that the peaks of the -function and the m-Tau function coincide. The corresponding values of were computed with equation S7 in <i><a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002625#pcbi.1002625.s002" target="_blank">Text S2</a></i>, and are indicated in the figure. Along with the , the values of and are shown in small font size. The latter two values were obtained by “brute-force” fitting a straight line to the nonlinear m-Tau curves. We observe that: <i>(i)</i> the curvature of m-Tau (equation S6 in <i><a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002625#pcbi.1002625.s002" target="_blank">Text S2</a></i>) increases with decreasing values of . <i>(ii)</i> All “slopes” of the “brute-force” line-fit to m-Tau are smaller than suggested by the data from <i>Gabbiani et al.</i>, who reported (our fit of their re-sampled data is indicated by the green line and yielded ; see figure headline).</p
The modified Tau function (“m-Tau”).
No full text<p>(<b>a</b>) The figure shows two m-Tau functions which are distinguished by (with values and , see legend). The horizontal bars denote their respective maxima for the default stimulus values (, , , ). The maxima shift to the left (circles) upon doubling the object radius to (“size effect”). They shift in the opposite direction (triangles) upon doubling both the approach velocity and the initial distance (“velocity effect”), such that remains unchanged (). The thin dotted lines (not identified in the legend) show the m-Tau functions with correspondingly doubled values. For the m-Tau function with , the two factors and are furthermore plotted, see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002625#pcbi.1002625.e136" target="_blank">equation (1)</a>. The shift directions of the maxima are identical with the corresponding shifts observed with the -function, see <i><a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002625#pcbi.1002625.s001" target="_blank">Text S1</a></i>. (<b>b</b>) Here it is shown how the maxima of seven m-Tau functions shift when the object diameter is halved or doubled with respect to its default value . Each point indicates (time of maximum) along with its corresponding amplitude . Circular symbols represent the default case with . All maxima lie on a line. With a smaller object diameter all maxima shift to the right (towards ), and an increase in object size causes a shift of all maxima to the left (away from ). All shifts proceed along the same straight line. Notice that some artifacts occur for the two leftmost points, because all maxima were computed numerically. The velocity effect is illustrated in <i><a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002625#pcbi.1002625.s001" target="_blank">Text S1</a></i>.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
No full textWe 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
3-BODY POTENTIAL EFFECTS IN THE STRUCTURE OF FLUID KRYPTON
No full textThe low-density expansion and a new integral equation have been used to calculate the pair correlation function and several related quantities for krypton, using realistic pair potentials and several models for the three-body potentials: the Axilrod-Teller-Muto model, the multipolar model up to the triple quadrupole term and the Loubeyre model. The results are compared with experimental data in some detail. The models describe the three-body effects in correlation functions in a qualitative sense, but quantitative differences are observed, suggesting that shorter-ranged effects must also be included
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