9 research outputs found

    The lead lag relationship between oil prices and exchange rate in an oil importing country: evidence fromThailand using ARDL

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    The purpose of this study is to explore the Granger-causal relationship between oil prices, exchange rates and inflation rates using Thailand as a case study. Discerning this relationship will help us understand the mechanics of the Thai economy and the factors contributing to its development. Standard time-series and ARDL methods were used to investigate this relation. The reason for choosing to apply both methods is that ARDL is a more robust technique than the standard time series technique. Also, ARDL helped us overcome a problem regarding the variables used in the study as we had a mix of I(0) and I(1) variables which is unacceptable under the standard time-series technique when cointegration of the variables is examined. Our empirical findings tend to indicate that there is a long run relationship existing between these variables and that the exchange rate appears to be the variable leading oil prices and inflation at least in the context of Thailand during the period under review. The results are reasonable and have strong policy implications

    Using Regression Model Data to Predicts the Outcomes of Pregnancies (A Case Study of Dutse General Hospital)

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    A logistic regression model has been developed previously to predict the outcome of pregnancies. This model was based on the human chorionic gonadotropin (HCG) ratio. As women present at earlier gestation to early pregnancy units (EPU) the number of women diagnosed with early pregnancy of unknown location increases. Some of these women will have an ectopic pregnancy (EP) and this group in the population poses the greatest concern. Data were gathered in a single early pregnancy unit from all women with an early pregnancy, were this data set was divided into a model building. We developed regression model with expert information using this data set to predict the outcome of pregnancies. Keywords: chrionic gonadotropin, gestation,embrayo,pregnancy

    An experimental-analytical scale-linking study on the crack-bridging mechanisms in different types of SHCC in dependence on fiber orientation

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    A scale-linking, experimental study complemented by an analytical model was carried out to investigate the influence of fiber orientation on the crack-opening behavior of strain-hardening cement-based composites (SHCC). Three SHCC compositions were investigated with polyvinyl alcohol (PVA) and ultra-high molecular weight polyethylene (UHMWPE) fibers in combination with normal- and high-strength matrices. The micromechanical experiments with fiber inclinations of 0◦, 30◦, 45◦, and 60◦ involved fiber embedment in plain and fiber-reinforced specimens. The experimentally derived micromechanical parameters were input into an analytical crack-bridging model to assess the upscaling accuracy of the micromechanical results by comparing the predicted crack-bridging laws to the single-crack opening behavior of equivalent miniature SHCC specimens with controlled fiber orientation. This study yields new insights into the effect of fiber orientation on the crackbridging properties of different types of SHCC, assesses the link between micromechanical and composite scale properties, offers a solid experimental basis for refining the analytical models, and developing anisotropic materials models for SHCC in dependence on fiber orientation
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