97,643 research outputs found

    Winker Supp Matl for ms on the unpopularity of changing eponymous bird and other organismal names_26_July_2023

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    Supplementary   Material (three subsequent sheets) for K. Winker, 2023 manuscript on the   unpopularity of changing eponymous bird and other organismal names.   K. Winker, University of   Alaska Museum, 907 Yukon Drive, Fairbanks, Alaka 99775       Sheet 1: Summary of sentiment analysis   made on comments to Foley & Rutter 2020 Washington   Post article.   Sheet 2: Summary of sentiment analysis   made on comments to Fears 2021 Washington Post article.    Sheet 3: Summary of sentiment analysis   made on comments to Guedes et al. (2023) on ResearchGate.    </p

    Winker Supplementary Material for ms on the unpopularity of changing eponymous English bird names.

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    Supplementary Material for K. Winker, 2023 manuscript on the unpopularity of changing eponymous English bird names. Sentiment analysis scorings of comments in response to two published articles on bird name changes.</p

    Joshua Davis: Author of Spare Parts

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    Citation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University

    Data for "Effects of fibroblast growth factor 2 on muscle precursor cells from mouse limb and extraocular muscle"

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    Fibroblast growth factor 2 (FGF2) is known to play a role in skeletal muscle development and growth. We examined two populations of myogenic precursor cells for their responses to FGF2 in vitro using both extraocular and limb skeletal muscle. Fluorescence-activated cell sorting (FACS) was used to isolate two different populations of myogenic precursor cells, the EECD34 cells (positive for CD34, and negative for Sca1, CD31, and CD45) and PAX7-positive cells, from tibialis anterior and extraocular muscles of mice. These cells were cultured and treated with either proliferation or differentiation media in the absence or the presence of FGF2, followed by assays to determine the effects on proliferation and differentiation. EECD34 cells and PAX7-positive cells from both muscles responded to FGF2 with significantly increased proliferation. Both myogenic precursor cell populations from each muscle type showed increased percentage of desmin-positive mononucleated cells, but decreased rates of fusion into multinucleated myotubes in the presence of FGF2 in this in vitro system relative to control cells. FGF2 has pleiotropic effects on skeletal muscles. Contrary to the literature, FGF2 did not inhibit differentiation, but did appear to decrease fusion into multinucleated myofibers in vitro. Examination of immunostaining for myomerger in differentiating PAX7-positive cells in the presence or absence of FGF2 demonstrated a significant reduction of expression in the presence of elevated FGF2 levels. These results provide a potential mechanism for reduction in myofiber number and size in the extraocular muscles in individuals with Apert syndrome, where FGF receptor 2 mutations maintain the receptor in an activated state resulting in significantly reduced myofiber size.National Eye Institute RO1EY15313 National Science Foundation NRT-UtB: Graduate Training Program in Sensory Science National Eye Institute NIHT32EY025187 Minnesota Lions Gift of SightWinker, Austin J; Johnson, Laura L; Jadhav, Ria; Nguyen, Catherine; Hitch, Elizabeth; McLoon, Linda K. (2025). Data for "Effects of fibroblast growth factor 2 on muscle precursor cells from mouse limb and extraocular muscle". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/VR2S-3739

    Steven Johnson Author Talk Poster

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    K-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book

    A new tool toward proper use of terminology – The Ornisthologist’s Dictionary by Erritzoe, Kampp, Winker & Frith (2007)

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    Erritzoe, J., Kampp, K., Winker, K. & Frith, C.B. 2007: The Ornisthologist’s Dictionary. — LynxEdicions, Barcelona, Spain. 290 pp

    Aegolius vcf, reference, and script files

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    Variant call format genomic data, reference sequence, and unique dadi scripts from a study of divergence in Aegolius acadicus, Northern Saw-whet Owl. Manuscript by K. Winker et al. is entitled "Speciation despite gene flow in two owls (Aegolius ssp.): Evidence from 2,517 loci with ultraconserved elements (UCEs)."</b

    Plectrophenax bunting ultraconserved elements (UCEs) study

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    Variant call format genomic data and unique scripts from a study of divergence in Plectrophenax buntings. Manuscript by K. Winker et al. is entitled "Ultraconserved elements (UCEs) illuminate the population genomics of a recent, high-latitude avian speciation event."</b

    The Stochastics of Threshold Accepting: Analysis of an Application to the Uniform Design Problem

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    Threshold Accepting (TA) is a powerful optimization heuristic from the class of stochastic local search algorithms. It has been applied successfully to different optimization problems in statistics and econometrics, including the uniform design problem. Using the latter application as example, the stochastic properties of a TA implementation are analyzed. We provide a formal framework for the analysis of optimization heuristics like TA, which can be used to estimate lower bounds and to derive convergence results. It is also helpful for tuning real applications. Based on this framework, empirical results are presented for the uniform design problem. In particular, for two problem instances, the rate of convergence of the algorithm is estimated to be of the order of a power of -0.3 to -0.7 of the number of iterations. --Heuristic optimization,Threshold Accepting,Stochastic analysis of heuristics

    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
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