1,746,083 research outputs found
Interview with Steven A. Barnes, October 19, 2010
No full textInterview Themes: How Barnes came to be interested in the gulag (00:57)
The evolution of Barnes's gulag project (04:12)
The argument of Barnes's forthcoming book and how it will likely be received (18:32)
Most interesting and exciting directions in Soviet historiography now (32:10)Interview with Steven A. Barnes, Associate Professor of History at George Mason University. Interview conducted in Ithaca, NY on October 19, 2010. Professor Barnes is the author of the book Death and Redemption: The Gulag and the Shaping of Soviet Society, which is forthcoming from Princeton University Press in 2011. Barnes is also the author of a website on the history of the gulag called Gulag: Many Days, Many Lives.1_yvj84mn
The Ohio State University Commencement Address by Steven A. Davis, Winter 2008
No full textCommencement address given by Steven A. Davis, Chairman of the Board and Chief Executive Officer of Bob Evans Farms, Inc., to the Winter 2008 graduating class of The Ohio State University, Jerome Schottenstein Center, Columbus, Ohio, March 16, 2008
Supplementary information for Robustness increases heritability: implications for familial disease by Steven A. Frank
No full textSupplementary information for manuscript:
Robustness increases heritability: implications for familial disease
by Steven A. Frank
Includes file heritable.nb, a Wolfram Mathematica notebook, that can be used to follow the steps in the manuscript's mathematical derivations and to evaluate alternative quantitative assumptions. A printed version of that notebook is in the file heritable.pdf, which can be read without using the Mathematica software
Perceptual estimation of variance in orientation and its dependence on sample size
No full textRecent research has shown that participants are very good at perceptually estimating summary statistics of sets of similar objects (e.g., Ariely, 2001; Chong & Treisman, 2003; 2005). While the research has focused on first-order statistics (e.g., the mean size of a set of discs), it is unlikely that a mental representation of the world includes only a list of mean estimates (or expected values) of various attributes. Therefore, a comprehensive theory of perceptual summary statistics would be incomplete without an investigation of the representation of second-order statistics (i.e., variance). Two experiments were conducted to test participants' ability to discriminate samples that differed in orientation variability. Discrimination thresholds and points of subjective equality for displays of oriented triangles were measured in Experiment 1. The results indicated that participants could discriminate variance without bias and that participant sensitivity (measured via relative thresholds, i.e., Weber fractions) was dependent upon sample size but not baseline variance. Experiment 2 investigated whether participants used a simpler second-order statistic, namely, sample range to discriminate dispersion in orientation. The results of Experiment 2 showed that variance was a much better predictor of performance than sample range. Taken together, the experiments suggest that variance information is part of the visual system's representation of scene variables. However, unlike the estimation of first-order statistics, the estimation of variance depends crucially on sample size.M.S.Includes abstractIncludes bibliographical referencesby Steven A. Cholewia
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
Illustrated key to the Dendroctonus of North America
No full textJames R. LaBonte, Steven A. Valley, Oregon Dept. of Agriculture.Title from PDF cover (viewed on December 11, 2020).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
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