204,250 research outputs found

    Conférence de M. Alexis Sanderson

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    Sanderson Alexis. Conférence de M. Alexis Sanderson. In: École pratique des hautes études, Section des sciences religieuses. Annuaire. Tome 100, 1991-1992. 1991. pp. 141-144

    Mrs. Paul M. Sanderson

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    Bust shot of Mrs. Paul M. Sanderson, volunteer for raising funds for the Arts Council\u27s Community Arts Fund, working for the benefit of six community cultural organizations. Mrs. Lynn is a residential area chairmen, soon to begin fundraising activities for the Community Arts Fund in her neighborhood. Published in the Fort Worth Star-Telegram February 16, 1964.https://mavmatrix.uta.edu/specialcollections_startelegram1960s/2361/thumbnail.jp

    Marriage record of Hall, John M. and Sanderson, Yulee

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    Marriage license for John M. Hall and Yulee Sanderson. Olin Boggess was the officiant

    Marriage record of Sanderson, Fernie M. and Lightsey, Fannie S.

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    Marriage license for Fernie M. Sanderson and Fannie S. Lightsey. E.A. Vernon was the officiant

    F.M. Sanderson poultry farm

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    Description of F. M. Sanderson and his poultry farm, probably Tishomingo County, Mississipi. Photograph and text page was probably taken from an annual report after the Tennessee Valley Authority project.https://scholarsjunction.msstate.edu/ext-ua-photos/1222/thumbnail.jp

    A new perspective on population aging

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    In Sanderson and Scherbov (2005) we introduced a new forward-looking definition of age and argued that its use, along with the traditional backward-looking concept of age, provides a more informative basis upon which to discuss population aging. Age is a measure of how many years a person has already lived. In contrast, our new approach to measuring age is concerned about the future. In this paper, we first explore our new age measure in detail and show, using an analytic formulation, historical data, and forecasts, that it is, in most cases, insensitive to whether it is measured using period or cohort life tables. We, then, show, using new forward-looking definitions of median age and the old age dependency ratio, how combining the traditional age concept and our new one enhances our understanding of population aging.age/aging, historical demography, life expectancy, median age, population forecasting, prospective age

    Galaxy-cluster gas-density distributions of the representative XMM-Newton cluster structure survey (REXCESS)

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    We present a study of the structural and scaling properties of the gas distributions in the intracluster medium (ICM) of 31 nearby (z < 0.2) clusters observed with XMM-Newton, which together comprise the Representative XMM-Newton Cluster Structure Survey (REXCESS). In contrast to previous studies, this sample is unbiased with respect to X-ray surface brightness and cluster dynamical state, and it fully samples the cluster X-ray luminosity function. The clusters cover a temperature range of 2.0-8.5 keV and possess a variety of morphologies. The sampling strategy allows us to compare clusters with a wide range of central cooling times on an equal footing. We applied a recently developed technique for the deprojection and PSF-deconvolution of X-ray surface brightness profiles to obtain non-parametric gas-density profiles out to distances ranging between 0.8 R500 and 1.5 R500. We scaled the gas density distributions to allow for the systems' differing masses and redshifts. The central gas densities differ greatly from system to system, with no clear correlation with system temperature. At intermediate radii (~ 0.3 R500), the scaled density profiles show much less scatter, with a clear dependence on system temperature. We find that the density at this radius scales proportionally to the square root of temperature, consistent with the presence of an entropy excess as suggested in previous literature. However, at larger scaled radii this dependence becomes weaker: clusters with kT > 3 keV scale self-similarly, with no temperature dependence of gas-density normalisation. The REXCESS sample allows us to investigate the correlations between cluster properties and dynamical state. We find no evidence of correlations between cluster dynamical state and either the gas density slope in the inner regions or temperature, but do find some evidence of a correlation between dynamical state and outer gas density slope. We also find a weak correlation between dynamical state and both central gas normalisation and inner cooling times, but this is only significant at the 10% level. We conclude that, for the X-ray cluster population as a whole, both the central gas properties and the angle-averaged, large-scale gas properties are linked to the cluster dynamical state. We also investigate the central cooling times of the clusters. While the cooling times span a wide range, we find no evidence of a significant bimodality in the distributions of central density, density gradient, or cooling time. Finally, we present the gas mass-temperature relation for the REXCESS sample, finding that , which is consistent with the expectation of self-similar scaling modified by the presence of an entropy excess in the inner regions of the cluster and consistent with earlier work on relaxed cluster samples. We measure a logarithmic intrinsic scatter in this relation of ~, which should be a good measure of the intrinsic scatter in the -T relation for the cluster population as a whole

    Uncontextualized significance considered dangerous

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    We examine the context of significance tests in offline retrieval experiments. Our Information Retrieval (IR) community is notable for its experimental rigour: the use of statistical significance is grows across our publications. However, we show that ignoring the context of a test risks Type I errors, leading to potential publication bias. We examine two contexts: multiple testing and the types of the retrieval systems being compared. Our results show that multiple testing corrections are critical for experimental work. In addition, we find that past research on the reliability of test collections maybe flawed owing to the type of systems examined. The latter result has not been shown before. Together our results suggest substantial numbers of Type I errors in offline IR experiments. We detail a methodology to alleviate the errors

    How do you test a test? A multifaceted examination of significance tests

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    We examine three statistical significance tests - a recently proposed ANOVA model and two baseline tests - using a suite of measures to determine which is better suited for offline evaluation. We apply our analysis to both the runs of a whole TREC track and also to the runs submitted by six participant groups. The former reveals test behavior in the heterogeneous settings of a large-scale offline evaluation initiative; the latter, almost overlooked in past work (to the best of our knowledge), reveals what happens in the much more restricted case of variants of a single system, i.e. the typical context in which companies and research groups operate. We find the ANOVA test strikingly consistent in large-scale settings, but worryingly inconsistent in some participant experiments. Of greater concern, the participant only experiments show one of our baseline tests (a test widely used in research) can produce a substantial number of inconsistent results. We discuss the implications of this inconsistency for possible publication bias
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