1,720,962 research outputs found

    The Determination of An Effective Smile

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    This research was supported by the Undergraduate Research Opportunities Program (UROP).Ruprecht, Mark, R.; Helwig, Nathaniel, E.. (2016). The Determination of An Effective Smile. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/180026

    A Nonparametric Look at Self-Esteem Development by Gender and Socioeconomic Region

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    We examined self-esteem development across the lifespan from ages 10 to 80 using responses to the Rosenberg Self-Esteem Scale obtained over the World Wide Web between the years of 2011 and 2014. The dataset comprises a large and globally diverse sample of 45,185 individuals (53.2% non-U.S.) representing 171 countries from six continents. Using a nonparametric regression approach, we investigated whether the self-esteem developmental trajectory differed across gender and socioeconomic region.Ruprecht, Mark R.; Helwig, Nathaniel E.. (2016). A Nonparametric Look at Self-Esteem Development by Gender and Socioeconomic Region. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/185270

    Self-Selected Diets: Exploring the Factors Driving Food Choices and Satisfaction with Dietary Variety July 2024

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    Liking had the greatest influence on food choice. Liking increased satisfaction with variety. Convenience reduced satisfaction with variety.Food choices determine the nutrients and other substances that build and maintain our bodies as well as consumer demand for food products. People choose specific foods, and those choices are strongly influenced by many factors. Our goal was to examine the reasons participants gave for choosing each of the foods they consumed during a 4-week study, how those influencers differed for different food classes, and whether the influencers predicted satisfaction with their dietary variety.This research was supported in part by the National Aeronautics and Space Administration (NASA; NNX12AE56G), the Minnesota Agricultural experiment station project MN-18-081, and the Sensory Center at the University of Minnesota Department of Food Science and NutritionEhrmantraut, Lauren; Mann, Traci; Redden, Joseph; Helwig, Nathaniel; Vickers, Zata. (2025). Self-Selected Diets: Exploring the Factors Driving Food Choices and Satisfaction with Dietary Variety July 2024. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/275123

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

    Fast and stable smoothing spline analysis of variance models for large samples with applications to electroencephalography data analysis

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    The current parameterization and algorithm used to fit a smoothing spline analysis of variance (SSANOVA) model are computationally expensive, making a generalized additive model (GAM) the preferred method for multivariate smoothing. In this thesis, I propose various approximations and algorithms to stabilize and speed-up the fitting of two-way (or higher-way) SSANOVA models. In particular, I propose (a) an efficient reparameterization of the smoothing parameters in SSANOVA models, (b) using strategically-selected knot grids instead of randomly selected knots, (c) including rounding parameters in the model, and (d) scalable algorithms for multiple-smoothing parameter selection in SSANOVA models. To validate my approximations and algorithms, I conduct three simulation studies comparing my methods to current implementations of SSANOVAs and GAMs that are available in R. The simulation results demonstrate that my approximations and algorithms can perform as well as the typical SSANOVA approximation, and can do so in a fraction of the time; furthermore, the simulation results reveal that a strategic SSANOVA can perform as well as or better than a GAM, and (using my algorithm) the strategic SSANOVA can be fit in a similar amount of time as a GAM. Finally, I present how these new approximations and algorithms make it possible to holistically analyze electroencephalography data collected during event-related potential experiments.Item withdrawn by Mark Zulauf ([email protected]) on 2013-04-09T19:11:23Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 3 Helwig_figures.zip: 1156928 bytes, checksum: 168d025e6f427d998c42e8c29e089d04 (MD5) Helwig_phd.tex: 274177 bytes, checksum: e9c1a308df193adbaf9204035de304a0 (MD5) Helwig_Nathaniel.pdf: 3102200 bytes, checksum: 3d25e0568d3670eab4cc042dab98d7cc (MD5)Made available in DSpace on 2013-05-24T22:16:40Z (GMT). No. of bitstreams: 4 Nathaniel_Helwig.pdf: 3102200 bytes, checksum: 3d25e0568d3670eab4cc042dab98d7cc (MD5) Helwig_figures.zip: 1156928 bytes, checksum: 168d025e6f427d998c42e8c29e089d04 (MD5) Helwig_phd.tex: 274177 bytes, checksum: e9c1a308df193adbaf9204035de304a0 (MD5) license.txt: 4066 bytes, checksum: c8feea6b6c3caaa2a7da77b40d98147a (MD5)Restriction data tranferred 2014-07-01T11:36:13-05:00 Original Data Group with Access UIUC Users [automated] Release Date: 2015-05-24 17:18:31 UTC Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemItem marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Seth Robbins ([email protected]) on 2013-05-24T22:19:05Z Item is restricted until 2015-05-24T22:18:31ZU of I Only Restriction Lifted for Item 44427 on 2015-05-24T10:01:09Z

    Dispelling the Myths Behind First-author Citation Counts

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    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

    Author Index

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