2,347 research outputs found

    Economic Impacts of Residential Property Abandonment and the Genesee County Land Bank in Flint, Michigan

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    Describes the land bank model, which allows local public authorities to manage and develop tax-foreclosed properties with a focus on returning them to productive use, and summarizes the activities of a successful land bank effort in Flint, Michigan

    Letter to Sonora Dodd from Mabel E. Griswold, June 14, 1935

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    Letter to Sonora Dodd from Mabel E. Griswold, with envelope. Mabel E. Griswold served as Secretary to Philip P. La Follette, Governor of the State of Wisconsin.https://digitalcommons.whitworth.edu/fathers-day-correspondence/1053/thumbnail.jp

    Testing seeds and germinators

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    Thesis (B.S.)--University of Illinois, 1901.Ms.Includes bibliographical references

    ON MARGINALIZED MULTILEVEL MODELS AND THEIR COMPUTATION

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    Clustered data analysis is characterized by the need to describe both systematic variation in a mean model and cluster-dependent random variation in an association model. Marginalized multilevel models embrace the robustness and interpretations of a marginal mean model, while retaining the likelihood inference capabilities and flexible dependence structures of a conditional association model. Although there has been increasing recognition of the attractiveness of marginalized multilevel models, there has been a gap in their practical application arising from a lack of readily available estimation procedures. We extend the marginalized multilevel model to allow for nonlinear functions in both the mean and association aspects. We then formulate marginal models through conditional specifications to facilitate estimation with mixed model computational solutions already in place. We illustrate this approach on a cerebrovascular deficiency crossover trial

    Alginate Lyase Exhibits Catalysis-Independent Biofilm Dispersion and Antibiotic Synergy

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    More than 2 decades of study support the hypothesis that alginate lyases are promising therapeutic candidates for treating mucoid Pseudomonas aeruginosa infections. In particular, the enzymes\u27 ability to degrade alginate, a key component of mucoid biofilm matrix, has been the presumed mechanism by which they disrupt biofilms and enhance antibiotic efficacy. The systematic studies reported here show that, in an in vitro model, alginate lyase dispersion of P. aeruginosa biofilms and enzyme synerg

    ECONOMIC IMPACTS ON THE ILLINOIS ECONOMY OF ALTERNATIVE DAIRY PRODUCTION SYSTEMS

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    Dairy in Illinois has declined in farm numbers, cows, and value of dairy product. Alternative dairy systems (intensive grazing, traditional, and a concentrated feeding system) were evaluated for their potential to sustain dairy in Illinois. The economic impact of each system on the Illinois economy was evaluated using IMPLAN.Livestock Production/Industries,

    PUBLIC PERCEPTIONS REGARDING GROWTH OF THE DAIRY INDUSTRY IN ILLINOIS

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    Community opposition to dairies has altered location decisions by milk producers. Our objective was to identify residents' perceptions towards dairy by individual and community characteristics. A mail survey of residents of dairy counties and non-dairy counties was conducted. Dairy county residents were more willing to live close to a dairy.Livestock Production/Industries,

    Low-Cost Air Quality Monitoring Tools: From Research to Practice (A Workshop Summary).

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    In May 2017, a two-day workshop was held in Los Angeles (California, U.S.A.) to gather practitioners who work with low-cost sensors used to make air quality measurements. The community of practice included individuals from academia, industry, non-profit groups, community-based organizations, and regulatory agencies. The group gathered to share knowledge developed from a variety of pilot projects in hopes of advancing the collective knowledge about how best to use low-cost air quality sensors. Panel discussion topics included: (1) best practices for deployment and calibration of low-cost sensor systems, (2) data standardization efforts and database design, (3) advances in sensor calibration, data management, and data analysis and visualization, and (4) lessons learned from research/community partnerships to encourage purposeful use of sensors and create change/action. Panel discussions summarized knowledge advances and project successes while also highlighting the questions, unresolved issues, and technological limitations that still remain within the low-cost air quality sensor arena
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