1,720,991 research outputs found
The Effects of Body Size and Message Valence In Instagram Posts Upon Women's Body Image
Get PDFThe University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team ([email protected]) with information about the object, including its full URL and the nature of your complaint.Using an online program 136 women were randomly assigned to view different simulated Instagram posts (16 total for each group) featuring women's bodies and specific messages about the bodies. Participants viewed various combinations of large bodies/thin bodies and positive/negative messages. ANCOVAS and T tests were performed, and it was found that the large positive group increased in mood as compared with the large negative and thin negative groups. Findings inform that the interventions were not successful in altering body image, and only message valence had an effect on participant mood. Implications, limitations and future directions are explored
An fMRI study of object recognition and cerebral laterality
Get PDFThe ventral visual cortex houses a hierarchical system for object processing and exhibits category-specific processing, especially for fine-grained discrimination of words and faces. The degree to which different regions in ventral visual cortex, within and between the two cerebral hemispheres, are involved in visual processing of different kind of visual objects is not known. In two fMRI studies of words and faces, we compare univariate and multivariate analysis results for neural differences between and within categories, at different visual hemifield locations (center, left and right hemifield). In the functional localizer experiment, opposite lateralization between words and (to a lesser degree) faces were observed. However, between-category univariate fMRI results were not consistently lateralized to the left hemisphere for words or oppositely lateralized to the right hemisphere for faces in the two main experiments. Multivariate fMRI results were less restricted to category-specific areas of ventral visual cortex and showed considerable lateralization for discrimination of objects at the exemplar-level. Between-category multivariate fMRI results showed less lateralization, despite strong evidence of neural discriminability. This means that within-category discrimination fMRI multivariate results are more consistent with laterality effects in behavior as measured in divided field experiments. Such results are important because they highlight a fundamental discrepancy in the hemifield-hemisphere relationship between visual object recognition behavior and fMRI results. In the visual hemifield experiments, both category-specific regions for words and faces showed contralateral biases of within-category decoding for preferred stimulus categories. More interestingly, a posterior object-sensitive region exhibited successful within-category decoding for both words and faces presented in the non-preferred location. We offer a novel explanation of this apparent discrepancy revealed by the influence of object (face or word) location on within-category multivariate fMRI results: Ipsilateral visual hemifield deficits observed in divided field studies of words and faces reflect a reliance on feature-based processing by generic object recognition circuits posterior to category-specific regions in the ventral visual cortex
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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