1,721,288 research outputs found
NARPS Results
Results saved from analysis of Neuroimaging Analysis Replication and Prediction Study. Obtained from CircleCI Build #334 at https://334-85984198-gh.circle-artifacts.com/0/tmp/data/results.tgz</p
NARPS Results
Results saved from analysis of Neuroimaging Analysis Replication and Prediction Study. Obtained from CircleCI Build #326 at https://326-85984198-gh.circle-artifacts.com/0/tmp/data/results.tgz</p
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Science Study Break - Autoexperimentation
Location: UT Student Activity Center, 1.402 -- Speaker: Dr. Russell -- PoldrackAutoexperimentation.Dr. Russell Poldrack (Imaging Research Center) discusses research ethics and self-experimentation in science, as shown in movies like The Fly, Spider-man, and X-Men, and describes his own self-experiment - the "Russ-ome" Project.About Science Study Break: Take a break from the books and join UT researchers for cookies, chips, and chat about popular movies and TV shows that deal with science topics.
Many viewers uncritically accept scientific information presented in movies or on TV. That may be good in the case of a medical organization broadening viewers’ knowledge by using entertainment-education—for example, embedding information about breast cancer in the storyline of a telenovela. But that may be bad when “science” unconsciously absorbed from popular programming affects citizens’ considerations of public policy issues.
In each program of this occasional series, you’ll hear faculty members discuss realms of scientific possibility, evaluate presentations of science in popular culture, or mercilessly mock bad science and worse screenwriting. You’ll also sharpen your Bad Science Detector and discover library resources you can use to check the facts.
Science Study Break occurs twice each semester and is generously supported by the University Federal Credit Union.UT Librarie
Reliability and Reproducibility in Functional Connectomics
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Reliability and Reproducibility in Functional Connectomics
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
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
NARPS Team Results for Analysis
Data submitted by all participants in the Neuroimaging Analysis Replication and Prediction Study, along with results from prediction markets and metadata for analysis pipelines.</p
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