Showing 221 - 240 results of 532 for search '"Alabama"', query time: 0.04s Refine Results
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    Using Seasonal Climate Variability Forecasts: Crop Yield Risk by Clyde W. Fraisse, Joel O. Paz, Charles M. Brown

    Published 2007-03-01
    “…Brown, explains how to use historical crop yield information available through the AgClimate Web site (www.agclimate.org) to understand yield risk for specific crops in Alabama, Florida, and Georgia. Includes references.  …”
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    Using Seasonal Climate Variability Forecasts: Crop Yield Risk by Clyde W. Fraisse, Joel O. Paz, Charles M. Brown

    Published 2007-03-01
    “…Brown, explains how to use historical crop yield information available through the AgClimate Web site (www.agclimate.org) to understand yield risk for specific crops in Alabama, Florida, and Georgia. Includes references.  …”
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    An improved fuzzy time series forecasting model based on hesitant fuzzy sets by Lubna Shafi, Shilpi Jain, Praveen Agarwal, Pervaiz Iqbal, Aadil Rashid Sheergojri

    Published 2024-06-01
    “…The suggested technique is employed to forecast enrollment in the University of Alabama and Cancer Incidence Rates (CIRs) in India. …”
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    Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network by Tara P. McAlexander, Nora L. Lee, Gina S. Lovasi, Annemarie G. Hirsch, Melissa N. Poulsen, Brian Elbel, Lorna E. Thorpe, D. Leann Long, Leslie A. McClure

    Published 2025-01-01
    “…We summarize our experiences and lessons learned from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a collaborative agreement between the Centers for Disease Control and Prevention and research teams at Drexel University, New York University, Johns Hopkins University and Geisinger, and the University of Alabama at Birmingham. We present a roadmap for success in collaborative epidemiologic research, with recommendations focused on the following areas to maximize efficiency and success in collaborative research agreements: 1) operational and administrative considerations; 2) data access and sharing of sensitive data; 3) aligning network research aims; 4) harmonization of methods and measures; and 5) dissemination of findings. …”
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