21,143 research outputs found

    Up Front and Physical: Jesuit Education and the Body

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    My idea in your head vs Your idea in my head

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    PonenciaMy idea in your head vs Your idea in my head The objective of this discussion is to delve into a cross-cultural communicative context. There is something uniquely human about the evolution of knowledge though communication. While this is seemingly a universal concept, our focus will move from what is universal about communication to what is distinctly unique about the way two languages differ in similar contexts. What happens when there is a discursive clash between the languages? The underlying theories will uncover some of the main ingredients to proper discourse.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂ­a Tech. Grupo de InvestigaciĂłn Consolidado: LingĂŒĂ­stica y Lenguas Aplicadas (LLA)Hum-842 Junta de AndalucĂ­

    Eliminating Racial/Ethnic Health Disparities: Reconsidering Comparative Approaches

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    The focus on eliminating racial/ethnic health disparities has brought critical attention to the poor health status of minority populations. Assessing the health outcomes of racial minority groups by comparing them to a racial majority standard is valuable for identifying and monitoring health inequities, but may not be the most effective approach to identifying strategies that can be used to improve minority health outcomes. Health promotion planning models and public health history both suggest that minority health promotion is more likely to be derived from interventions rooted in culturally and historically grounded contextual factors. In this essay, we highlight limitations of comparative approaches to minority health research and argue that integrating emic (or within-group) approaches may facilitate research and interventions more consonant with national goals to promote health and reduce disparities than comparative approaches

    Circular 55

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    This report summarizes evaluations of vegetable varieties conducted by the Horticultural Research Program of the University of Alaska-Fairbanks. The objective of this research is to select varieties of vegetables that are adapted to the environment of interior Alaska. Vegetable crops whose adaptability may be improved through development of improved cultural techniques are also identified. The selection effort is directed at finding varieties useful to both commercial growers and home gardeners. Varieties are chosen for inclusion in the variety tests on the basis of their description, the latitude of origin, and the record of the plant-breeding programs for producing kinds that have previously been found adapted. Standard recommended varieties are included in the trials for comparison.Introduction -- Weather Summary, 1985 -- Table 1. Climatic Data for the Fairbanks Growing Season: 1984, 1985, and the Long-Term Average -- Figure 1. Daily Weather Data, May through September, 1985, University Experiment Farm, Fairbanks, AK -- Table 2. Artichoke Variety Trial, 1985 -- Table 3. Carrot Variety Trials, Bottomland, 1985 -- Table 4. Celery Variety Trials, 1985 -- Table 5. Eggplant Variety Trials, 1985 -- Table 6. Broccoli Variety Trials, 1985 -- Table 7. Brussels Sprouts Variety Trials, 1985 -- Table 8. Cauliflower Variety Trials, 1985 -- Table 9. Crisphead Lettuce Variety Trials, Bottomland, 1985 -- Table 10. Green Pea Variety Trials, 1985 -- Table 11. Pepper Variety Trials, 1985 -- Table 12. Potato Variety Trials, Bottomland, 1985 -- Table 13. Slicing Cucumber Variety Trials, 1985 -- Table 14. Summer Squash Variety Trials, 1985 -- Table 15. Sweet Corn Variety Trials, 1985 -- Table 16. Mulched Tomato Variety Trials, 1985 -- Table 17. Unmulched Tomato Variety Trials, 1985 -- Table 18. Container Tomato Variety Trials, 1985 -- Table 19. Winter Squash Variety Trials, 1985 -- Table 20. Pumpkin Variety Trials, 1985 -- Table 21. Miscellaneous Vegetable Trials -- Seed Source

    Offshoring of Business Services and its Impact on the UK Economy

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    Modeling Spatial Autocorrelation in Spatial Interaction Data: A Comparison of Spatial Econometric and Spatial Filtering Specifications

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    The need to account for spatial autocorrelation is well known in spatial analysis. Many spatial statistics and spatial econometric texts detail the way spatial autocorrelation can be identified and modelled in the case of object and field data. The literature on spatial autocorrelation is much less developed in the case of spatial interaction data. The focus of interest in this paper is on the problem of spatial autocorrelation in a spatial interaction context. The paper aims to illustrate that eigenfunction-based spatial filtering offers a powerful methodology that can efficiently account for spatial autocorrelation effects within a Poisson spatial interaction model context that serves the purpose to identify and measure spatial separation effects to interregional knowledge spillovers as captured by patent citations among high-technology-firms in Europe.
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