858 research outputs found

    Structural and Non-Structural Alternatives for Accommodating Larger Floods at Dams

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    This paper provides an overview of structural and non-structural alternatives for accommodating larger floods at dams. The first two alternatives discussed, raising the height of the project and/or lowering the reservoir pool, can be used to prevent overtopping by increasing the available floodwater detention storage in the reservoir. Data gathered by an ASCE task committee survey on modifications that include increased storage by raising project height are summarized and discussed. The third alternative discussed, early warning systems, can provide a low cost alternative to structural modifications. Case studies for the warning systems at the Santee Cooper North Dam and the TVA Blue Ridge Dam are presented

    Bachelor Days

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    https://digitalcommons.library.umaine.edu/mmb-vp/2843/thumbnail.jp

    List\u27ning On Some Radio

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    https://digitalcommons.library.umaine.edu/mmb-vp/1990/thumbnail.jp

    Garden Of My Dreams

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    https://digitalcommons.library.umaine.edu/mmb-vp/5398/thumbnail.jp

    It\u27s getting dark on old Broadway

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    https://digitalcommons.ithaca.edu/sheetmusic/1099/thumbnail.jp

    Hello, Frisco! : I Called You Up To Say Hello!

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    https://digitalcommons.library.umaine.edu/mmb-vp/3149/thumbnail.jp

    \u27Neath the South Sea moon

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    https://digitalcommons.ithaca.edu/sheetmusic/1101/thumbnail.jp

    A BAYESIAN APPROACH TO JOINT MODELING OF MENSTRUAL CYCLE LENGTH AND FECUNDITY

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    Female menstrual cycle length is thought to play an important role in couple fecundity, or the biologic capacity for reproduction irrespective of pregnancy intentions. A complete assessment of the association between menstrual cycle length and fecundity requires a model that accounts for multiple risk factors (both male and female) and the couple\u27s intercourse pattern relative to ovulation. We employ a Bayesian joint model consisting of a mixed effects accelerated failure time model for longitudinal menstrual cycle lengths and a hierarchical model for the conditional probability of pregnancy in a menstrual cycle given no pregnancy in previous cycles of trying, in which we include covariates for the male and the female and a flexible spline function of intercourse timing. Using our joint modeling approach to analyze data from the Longitudinal Investigation of Fertility and the Environment Study, a couple based prospective pregnancy study, we found a significant quadratic relation between menstrual cycle length and the probability of pregnancy even with adjustment for other risk factors, including male semen quality, age, and smoking status
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