12 research outputs found

    Simulating Gender Stratification

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    The simulation of promotional competitions in corporations described herein allows comparisons of suggested reasons for the paucity of women in the highest level of corporate management. Runs with small, medium and large-sized companies all give similar results. The strongest effect is evidenced when men are given a bonus in performance evaluations. Similar stratification is observed when men's scores are drawn from a distribution with increased variance. Other explanations (increased female attrition, career delays for women, line-staff divisions, and external labor market) do not, by themselves produce strong gender stratification, but could add to that produced by biased evaluations.Glass Ceiling, Gender Stratification, Promotion, Performance Evaluation Bias, Computer Simulation

    Derivatives of the Incomplete Beta Function

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    The incomplete beta function is defined as where Beta(p, q) is the beta function. Dutka (1981) gave a history of the development and numerical evaluation of this function. In this article, an algorithm for computing first and second derivatives of Ix,p,q with respect to p and q is described. The algorithm is useful, for example, when fitting parameters to a censored beta, truncated beta, or a truncated beta-binomial model

    Microcalcifications in breast cancer: novel insights into the molecular mechanism and functional consequence of mammary mineralisation.

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    BACKGROUND: Mammographic microcalcifications represent one of the most reliable features of nonpalpable breast cancer yet remain largely unexplored and poorly understood. METHODS: We report a novel model to investigate the in vitro mineralisation potential of a panel of mammary cell lines. Primary mammary tumours were produced by implanting tumourigenic cells into the mammary fat pads of female BALB/c mice. RESULTS: Hydroxyapatite (HA) was deposited only by the tumourigenic cell lines, indicating mineralisation potential may be associated with cell phenotype in this in vitro model. We propose a mechanism for mammary mineralisation, which suggests that the balance between enhancers and inhibitors of physiological mineralisation are disrupted. Inhibition of alkaline phosphatase and phosphate transport prevented mineralisation, demonstrating that mineralisation is an active cell-mediated process. Hydroxyapatite was found to enhance in vitro tumour cell migration, while calcium oxalate had no effect, highlighting potential consequences of calcium deposition. In addition, HA was also deposited in primary mammary tumours produced by implanting the tumourigenic cells into the mammary fat pads of female BALB/c mice. CONCLUSION: This work indicates that formation of mammary HA is a cell-specific regulated process, which creates an osteomimetic niche potentially enhancing breast tumour progression. Our findings point to the cells mineralisation potential and the microenvironment regulating it, as a significant feature of breast tumour development

    AJAE Appendix: Estimability and Identifying the Estimability Status of a System of Restrictions

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    The material contained herein is supplementary to the article named in the title and published in the American Journal of Agricultural Economics, Volume 88, Number 2, May 2006.Research Methods/ Statistical Methods,

    Interacting agricultural pests and their effect on crop yield: application of a Bayesian decision theory approach to the joint management of Bromus tectorum and Cephus cinctus.

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    Worldwide, the landscape homogeneity of extensive monocultures that characterizes conventional agriculture has resulted in the development of specialized and interacting multitrophic pest complexes. While integrated pest management emphasizes the need to consider the ecological context where multiple species coexist, management recommendations are often based on single-species tactics. This approach may not provide satisfactory solutions when confronted with the complex interactions occurring between organisms at the same or different trophic levels. Replacement of the single-species management model with more sophisticated, multi-species programs requires an understanding of the direct and indirect interactions occurring between the crop and all categories of pests. We evaluated a modeling framework to make multi-pest management decisions taking into account direct and indirect interactions among species belonging to different trophic levels. We adopted a Bayesian decision theory approach in combination with path analysis to evaluate interactions between Bromus tectorum (downy brome, cheatgrass) and Cephus cinctus (wheat stem sawfly) in wheat (Triticum aestivum) systems. We assessed their joint responses to weed management tactics, seeding rates, and cultivar tolerance to insect stem boring or competition. Our results indicated that C. cinctus oviposition behavior varied as a function of B. tectorum pressure. Crop responses were more readily explained by the joint effects of management tactics on both categories of pests and their interactions than just by the direct impact of any particular management scheme on yield. In accordance, a C. cinctus tolerant variety should be planted at a low seeding rate under high insect pressure. However as B. tectorum levels increase, the C. cinctus tolerant variety should be replaced by a competitive and drought tolerant cultivar at high seeding rates despite C. cinctus infestation. This study exemplifies the necessity of accounting for direct and indirect biological interactions occurring within agroecosystems and propagating this information from the statistical analysis stage to the management stage

    Joint histogram of <i>Cephus cinctus</i> infestation rate and <i>Bromus tectorum</i> pressure, a unit-less variable calculated from volume (cover x height) and biomass, in spring wheat fields averaged across crop seeding rate and crop variety.

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    <p>Joint histogram of <i>Cephus cinctus</i> infestation rate and <i>Bromus tectorum</i> pressure, a unit-less variable calculated from volume (cover x height) and biomass, in spring wheat fields averaged across crop seeding rate and crop variety.</p

    Graphical depiction of the decision model of direct and total effects used to assess the joint effect of <i>Bromus tectorum</i>, <i>Cephus cinctus</i>, and crop management practices on wheat yield.

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    <p>Equations <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0118111#pone.0118111.e002" target="_blank">1</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0118111#pone.0118111.e010" target="_blank">4</a> are described in the text. In this model, solid arrows describe direct effects, dashed arrows represent total effects. Aggregation of model components to output is represented as a curved edge, and the gray triangle denotes the collective impact of complex interactions on crop yield.</p

    Posterior predicted yields for drought tolerant spring wheat (DT) and <i>Cephus cinctus</i> tolerant spring wheat (SFLT) spring wheat varieties at three seeding densities and under 0.8x, 0.4x, and 0.2x herbicide rate treatments (columns).

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    <p>Posterior predicted yields for drought tolerant spring wheat (DT) and <i>Cephus cinctus</i> tolerant spring wheat (SFLT) spring wheat varieties at three seeding densities and under 0.8x, 0.4x, and 0.2x herbicide rate treatments (columns).</p
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