815 research outputs found

    Application of a stochastic snowmelt model for probabilistic decisionmaking

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    A stochastic form of the snowmelt runoff model that can be used for probabilistic decision-making was developed. The use of probabilistic streamflow predictions instead of single valued deterministic predictions leads to greater accuracy in decisions. While the accuracy of the output function is important in decisionmaking, it is also important to understand the relative importance of the coefficients. Therefore, a sensitivity analysis was made for each of the coefficients

    Using Electricity on Ohio Farms

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    PDF pages: 3

    Uncertainty Quantification of Future Design Rainfall Depths in Korea

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    One of the most common ways to investigate changes in future rainfall extremes is to use future rainfall data simulated by climate models with climate change scenarios. However, the projected future design rainfall intensity varies greatly depending on which climate model is applied. In this study, future rainfall Intensity???Duration???Frequency (IDF) curves are projected using various combinations of climate models. Future Ensemble Average (FEA) is calculated using a total of 16 design rainfall intensity ensembles, and uncertainty of FEA is quantified using the coefficient of variation of ensembles. The FEA and its uncertainty vary widely depending on how the climate model combination is constructed, and the uncertainty of the FEA depends heavily on the inclusion of specific climate model combinations at each site. In other words, we found that unconditionally using many ensemble members did not help to reduce the uncertainty of future IDF curves. Finally, a method for constructing ensemble members that reduces the uncertainty of future IDF curves is proposed, which will contribute to minimizing confusion among policy makers in developing climate change adaptation policies

    Coralie McCuen to Mr. Meredith (2 October 1962)

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    https://egrove.olemiss.edu/mercorr_pro/1493/thumbnail.jp

    Clinical Recommendations for Functional Ankle Instability Based Upon Best Practice Guidelines

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    Functional Ankle Instability is often the result of multiple previous lateral ankle sprains. Usually more than two lateral ankle sprains on the same ankle puts that ankle into a category of Functional Ankle Instability. The reoccurring lateral ankle sprains lead to Functional Ankle Instability, which is stated as being a feeling of instability, repeated episodes of giving way, weakness during physical activity, and self-reported disability (Hall, Docherty, Simon, Kingma, Klossner, 2015). Patients describe Functional Ankle Instability by saying that their ankle “gives way,” or that there is “weakness with function” (Hall, 2015). There are several questionnaires that allow for patients Functional Ankle Instability to be ranked. These questionnaires include the Functional Ankle Disability Index and the Cumberland. The exact number of people affected by Functional Ankle Instability is unknown, but multiple sources estimate that about half of people who have experienced a lateral ankle sprain go on to suffer from Functional Ankle Instability. This large number of patients creates an increase to insurance costs, as well as the utilization of resources within the clinic. Understanding the best treatment protocols for Functional Ankle Instability leads to the best outcomes for patients, which in turn helps ease the burden from both a clinical and a administrative aspect. Utilizing the most efficient treatment interventions leads to an increase in patient outcomes, which in turn leads to a decrease in the number of overall patient visits. Decreasing the number of overall visits lowers the amount of out of pocket costs for the patient

    Mauldin, South Carolina Suburban Town Center

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    Relationship of physiography and snow area to stream discharge

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    The author has identified the following significant results. A comparison of snowmelt runoff models shows that the accuracy of the Tangborn model and regression models is greater if the test data falls within the range of calibration than if the test data lies outside the range of calibration data. The regression models are significantly more accurate for forecasts of 60 days or more than for shorter prediction periods. The Tangborn model is more accurate for forecasts of 90 days or more than for shorter prediction periods. The Martinec model is more accurate for forecasts of one or two days than for periods of 3,5,10, or 15 days. Accuracy of the long-term models seems to be independent of forecast data. The sufficiency of the calibration data base is a function not only of the number of years of record but also of the accuracy with which the calibration years represent the total population of data years. Twelve years appears to be a sufficient length of record for each of the models considered, as long as the twelve years are representative of the population

    Combine harvester investigations

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    Siblings of Children with Long QT Syndrome: Relationships and Coping

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    Long QT syndrome (LQTS) is a congenital heart disorder, usually diagnosed in childhood, that may lead to cardiac arrest, seizures, syncope, and sudden death. The birth of a child with LQTS, as well as the social, physical, and psychological functioning of the affected child, can have a significant impact on the family. The family stress associated with having a child with any disability or chronic illness is likely to affect the lives of siblings. The lack of research on the effects of having a sibling with long QT syndrome on individuals who do not have LQTS provided the rationale for the current study. A qualitative research design was utilized to determine if and how LQTS impacts quality of life of unaffected siblings of children with long QT syndrome. Two themes emerged: relationships and coping strategies. A majority of the participants maintained positive relationships with their parents and affected siblings and had friends/support systems both within and outside of the home. Participants coped with the diagnosis and management of their siblings’ LQTS by trusting the medical team and obtaining information about the illness. A majority of the participants did not indicate that their lives differed greatly from siblings in other families not affected by LQTS
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