Influence of economic restructuring on rural Missouri high school dropout rates

The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.Title from title screen of research.pdf file viewed on (July 18, 2006)Includes bibliographical references.Vita.Thesis (Ph. D.) University of Missouri-Columbia 2005.Dissertations, Academic -- University of Missouri--Columbia -- Rural sociology.This research has argued that large scale social forces can influence individual level decisions, such as the decision to leave high school before graduating. The influence of Globalization, via economic restructuring, as measured by the transition from a manufacturing based economy to an economy of services and information, was found to influence students' decisions to drop out. Structural equation models were used to analyze the rural trends taking place from a rural-regional state-wide level. Findings indicated that increases in symbolic analyst and in-person service employment decreased high school dropout rates and the increase in routine production employment increased the dropout rate. Changes in all three occupation categories affected student family characteristics during the 1980s. Increases in in-person service employment had the greatest influence on family structure characteristics. Findings regarding student perceptions of education that resulted in increases in school commitment contributed to decline in high school dropout rates while increases in the number of hours students spent working at a part-time job increased the high school dropout rate

SNAP-8 corrosion program Quarterly progress report, period ending 31 May 1965

Differences in corrosion and mass transfer rates in corrosion loops for SNAP-8 system and effectiveness of cold trapping in reducing hydrogen concentratio

Snap-8 corrosion program quarterly progress report, period ending 28 feb. 1965

SNAP-8 corrosion program - hydrogen solubility in sodium-potassium, permeability of hydrogen and deuterum through stainless steel, and phase equilibri

Biases in Reanalysis Snowfall Found by Comparing the JULES Land Surface Model to GlobSnow

Snow exerts a strong influence on weather and climate. Accurate representation of snow processes within models is needed to ensure accurate predictions. Snow processes are known to be a weakness of land surface models (LSMs), and studies suggest that more complex snow physics is needed to avoid early melt. In this study the European Space Agency (ESA)'s Global Snow Monitoring for Climate Research (GlobSnow) snow water equivalent and NASA's MOD10C1 snow cover products are used to assess the accuracy of snow processes within the Joint U.K. Land Environment Simulator (JULES). JULES is run offline from a general circulation model and so is driven by meteorological reanalysis datasets: Princeton, Water and Global Change-Global Precipitation Climatology Centre (WATCH-GPCC), and WATCH-Climatic Research Unit (CRU). This reveals that when the model achieves the correct peak accumulation, snow does not melt early. However, generally snow does melt early because peak accumulation is too low. Examination of the meteorological reanalysis data shows that not enough snow falls to achieve observed peak accumulations. Thus, the earlier studies' conclusions may be as a result of weaknesses in the driving data, rather than in model snow processes. These reanalysis products bias correct precipitation using observed gauge data with an undercatch correction, overriding the benefit of any other datasets used in their creation. This paper argues that using gauge data to bias-correct reanalysis data is not appropriate for snow-affected regions during winter and can lead to confusion when evaluating model processes

‘It’s not about disability, I want to win as many medals as possible’: The social construction of disability in high-performance coaching.

This article draws on the theoretical concepts of Pierre Bourdieu to provide a critical analysis of the social construction of disability in high-performance sport coaching. Data were generated using a qualitative cross-case comparative methodology, comprising 18 months of ethnographic fieldwork in high-performance disability sport, and interviews with coaches and athletes from a cross-section of Paralympic sports. We discuss how in both cases ‘disability’ was assimilated into the ‘performance logic’ of the sporting field as a means of maximising symbolic capital. Furthermore, coaches were socialised into a prevailing legitimate culture in elite disability sport that was reflective of ableist, performance-focused and normative ideologies about disability. In this article we unpack the assumptions that underpin coaching in disability sport, and by extension use sport as a lens to problematise the construction of disability in specific social formations across coaching cultures. In so doing, we raise critical questions about the interrelation of disability and sport

Geologic and mineral and water resources investigations in western Colorado, using Skylab EREP data

The author has identified the following significant results. Skylab photographs are superior to ERTS images for photogeologic interpretation, primarily because of improved resolution. Lithologic contacts can be detected consistently better on Skylab S190A photos than on ERTS images. Color photos are best; red and green band photos are somewhat better than color-infrared photos; infrared band photos are worst. All major geologic structures can be recognized on Skylab imagery. Large folds, even those with very gentle flexures, can be mapped accurately and with confidence. Bedding attitudes of only a few degrees are recognized; vertical exaggeration factor is about 2.5X. Mineral deposits in central Colorado may be indicated on Skylab photos by lineaments and color anomalies, but positive identification of these features is not possible. S190A stereo color photography is adequate for defining drainage divides that in turn define the boundaries and distribution of ground water recharge and discharge areas within a basin

Seasonal controls on net branch CO2 assimilation in sub-Arctic Mountain Birch (Betula pubescens ssp. czerepanovii (Orlova) Hamet-Ahti)

Forests at northern high latitudes are experiencing climate-induced changes in growth and productivity, but our knowledge on the underlying mechanisms driving seasonal CO2 fluxes in northern boreal trees comes almost exclusively from ecosystem-level studies on evergreen conifers. In this study, we measured growing season whole-branch CO2 exchange in a deciduous tree species of the tundra-taiga ecotone, Mountain Birch (Betula pubescens ssp. czerepanovii (Orlova) Hamet-Ahti), at two locations in northern Fennoscandia: Abisko (Sweden) and Kevo (Finland). We identified strong seasonal and environmental controls on both photosynthesis and respiration by analysing the parameters of light response curves. Branch-level photosynthetic parameters showed a delayed response to temperature, and, at Kevo, they were well described by sigmoid functions of the state of acclimation (S). Temperature acclimation was slower (time constant, τ = 7 days) for maximum photosynthesis (βbr) than for quantum efficiency (αbr) (τ = 5 days). High temperature-independent values of the respiration parameter (γbr) during leaf and shoot expansion were consistent with associated higher growth respiration rates. The ratio γbr/βbr was positively related to temperature, a result consistent with substrate-induced variations in leaf respiration rates at the branch level. Differences in stand structure and within-site variation in the active period of C uptake determined the spatiotemporal patterns in net assimilation amongst branches. Growing season CO2 uptake of individual branches on a leaf area basis did not show a significant relationship with total incident photosynthetically active radiation, and did not differ across sites, averaging ca. 640 g CO2 m−2