1,719 research outputs found

    Spots on a Gnat’s Ass, Good Soldiers, and Sociology Departments: Stan Saxton’s Pragmatist Approach to Sociology

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    Most academics build their careers and establish reputations in the traditional manner, through research and publications. Certainly, this is not the only way to secure a place in the lore of academia. Some are great teachers who gather a large following of students. Still others get involved in professional organizations. While Stan Saxton had a respectable record of publications, was a masterful teacher, and a marvelous critic, his notable contributions to sociology came through his organizational work as a chair of the Department of Sociology and Anthropology at the University of Dayton. After his tenure as chair, Stan continued to be a visible and moral corporate actor in the university, in professional associations, and in academia. His ability to employ sociological knowledge to organizational processes that worked to the advantage of sociology was truly remarkable. His clear vision based on a strong sense of justice was inspirational. Stan’s success as an organizational player occurred during a period of transition for the University of Dayton. Up to 1977 the university was primarily a teaching institution and parochial in its orientation. When Stan was hired as chairperson in that year, a new administration aimed to make the university a leader in Catholic higher education. Stan’s charge was to bring the Department of Sociology and Anthropology in line with the larger project. He found himself in the right place with the right set of circumstances to realize his vision of a sociology department, a vision that fit the conditions of work and the expectations of a private, Catholic university

    Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin

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    AbstractStudy regionThe study region encompasses the Upper Colorado River Basin (UCRB), which provides water for 40 million people and is a vital part of the water supply in the western U.S.Study focusGroundwater and surface water can be considered a single water resource and thus it is important to understand groundwater contributions to streamflow, or baseflow, within a region. Previously, quantification of baseflow using chemical mass balance at large numbers of sites was not possible because of data limitations. A new method using regression-derived daily specific conductance values with conductivity mass balance hydrograph separation allows for baseflow estimation at sites across large regions. This method was applied to estimate baseflow discharge at 229 sites across the UCRB. Subsequently, climate, soil, topography, and land cover characteristics were statistically evaluated using principal component analysis (PCA) to determine their influence on baseflow discharge.New hydrological insights for the regionResults suggest that approximately half of the streamflow in the UCRB is baseflow derived from groundwater discharge to streams. Higher baseflow yields typically occur in upper elevation areas of the UCRB. PCA identified precipitation, snow, sand content of soils, elevation, land surface slope, percent grasslands, and percent natural barren lands as being positively correlated with baseflow yield; whereas temperature, potential evapotranspiration, silt and clay content of soils, percent agriculture, and percent shrublands were negatively correlated with baseflow yield

    Nontransgenic models of breast cancer

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    Numerous models have been developed to address key elements in the biology of breast cancer development and progression. No model is ideal, but the most useful are those that reflect the natural history and histopathology of human disease, and allow for basic investigations into underlying cellular and molecular mechanisms. We describe two types of models: those that are directed toward early events in breast cancer development (hyperplastic alveolar nodules [HAN] murine model, MCF10AT human xenograft model); and those that seek to reflect the spectrum of metastatic disease (murine sister cell lines 67, 168, 4T07, 4T1). Collectively, these models provide cell lines that represent all of the sequential stages of progression in breast disease, which can be modified to test the effect of genetic changes
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