13,145 research outputs found

    Alex La Guma: the literary and political functions of marginality in the colonial situation

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    African Studies Center Working Paper No. 5

    Toxicity prediction of anti tuberculosis active molecules

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    Abstract
The aim of the work was to understand the toxicity, physically significant descriptors and pharmaceutically relevant properties of some imidazoles obtained from the open sources that may found to be active against tuberculosis. At present five azoles were modeled for the prediction and calculation of descriptors that were carried out by means of computational approach [1].
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    Volatility Spillover Between the Stock Market and the Foreign Exchange Market in Pakistan

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    Our paper examines the volatility spillover between the stock market and the foreign exchange market in Pakistan. For long run relationship we use Engle Granger two step procedure and the volatility spillover is modelled through bivariate EGARCH method. The estimated results from cointegration analysis show that there is no long run relationship between the two markets. The results from the volatility modelling show that the behaviour of both the stock exchange and the foreign exchange markets are interlinked. The returns of one market are affected by the volatility of other market. Particularly the returns of the stock market are sensitive to the returns as well as the volatility of foreign exchange market. On the other hand returns in the foreign exchange market are mean reverting and they are affected by the volatility of stock market returns. There is strong relationship between the volatility of foreign exchange market and the volatility of returns in stock market

    Volatility Spillover Between the Stock Market and the Foreign Exchange Market in Pakistan

    Get PDF
    Our paper examines the volatility spillover between the stock market and the foreign exchange market in Pakistan. For long run relationship we use Engle Granger two step procedure and the volatility spillover is modelled through bivariate EGARCH method. The estimated results from cointegration analysis show that there is no long run relationship between the two markets. The results from the volatility modelling show that the behaviour of both the stock exchange and the foreign exchange markets are interlinked. The returns of one market are affected by the volatility of other market. Particularly the returns of the stock market are sensitive to the returns as well as the volatility of foreign exchange market. On the other hand returns in the foreign exchange market are mean reverting and they are affected by the volatility of stock market returns. There is strong relationship between the volatility of foreign exchange market and the volatility of returns in stock market.Stock Market; Forex Market; EGARCH; Volatility Spillover; Stock market return; Foreign Exchange return; Pakistan

    Volatility Spillover between the Stock Market and the Foreign Market in Pakistan

    Get PDF
    Our paper examines the volatility spillover between the stock market and the foreign exchange market in Pakistan. For the longrun relationship we use the Engle Granger two-step procedure and the volatility spillover is modelled through the bivariate EGARCH method. The estimated results from cointegration analysis show that there is no long-run relationship between the two markets. The results from the volatility modelling show that the behaviours of both the stock exchange and the foreign exchange markets are interlinked. The returns of one market are affected by the volatility of the other market. Particularly, the returns of the stock market are sensitive to the returns as well as the volatility of the foreign exchange market. On the other hand, returns in the foreign exchange market are mean-reverting, and they are affected by the volatility of stock market returns. There is a strong relationship between the volatility of the foreign exchange market and the volatility of returns in the stock market.Stock Market, Forex Market, EGARCH, Volatility Spillover, Stock Market Returns, Foreign Exchange Return, Pakistan

    Volatility Spillover between the Stock Market and the Foreign Market in Pakistan

    Get PDF
    Our paper examines the volatility spillover between the stock market and the foreign exchange market in Pakistan. For the longrun relationship we use the Engle Granger two-step procedure and the volatility spillover is modelled through the bivariate EGARCH method. The estimated results from cointegration analysis show that there is no long-run relationship between the two markets. The results from the volatility modelling show that the behaviours of both the stock exchange and the foreign exchange markets are interlinked. The returns of one market are affected by the volatility of the other market. Particularly, the returns of the stock market are sensitive to the returns as well as the volatility of the foreign exchange market. On the other hand, returns in the foreign exchange market are mean-reverting, and they are affected by the volatility of stock market returns. There is a strong relationship between the volatility of the foreign exchange market and the volatility of returns in the stock marketStock Market, Forex Market, EGARCH, Volatility Spillover, Stock Market Returns, Foreign Exchange Return, Pakistan

    Adaptive thresholding in dynamic scene analysis for extraction of fine line

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    This paper presents an adaptive threshold method whereby a fine thin line of one-pixel width lines could be detected in a gray level images. The proposed method uses the percentage difference between the mean of the pixels within a window and the center pixel. The minimum threshold value however is heuristically set to 32. If the percentage difference is greater than 40% then the threshold value will be set to the difference value. This method has been applied in detecting moving objects with fine lines and the results showed that the method was able to pickup straight thin edges that belong to the moving objec

    Simulation of brittle damage for fracture process of endodontically treated tooth

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    The mechanics of brittle damage in porcelain of an endodontically treated maxilla incisor tooth was simulated using finite element method (FEM). For this purpose a very complex composite structure of endodontically treated tooth is simulated under transverse loading. Three dimensional (3D) model of human maxilla incisor tooth root was developed based on Computed Tomography (CT) scan images. Crown, core cement, resin core, dental post, post cement and dentin were created using SolidWorks software, and then the model was imported into ABAQUS-6.9EF software for nonlinear behavior analysis. This study utilizes finite element method to simulate onset and propagation of crack in ceramic layer (porcelain) by the cause of both tension and compression loading related to complexity of the geometry of tooth implant. The simulation has been done using brittle damaged model available in ABAQUS/Explicit in quasi-static load condition. The load-displacement response of whole structure is measured from the top of porcelain by controlling displacement on a rigid rod. Crack initiated at the top of porcelain bellow the location of the rod caused by tension damage at equivalent load of 590 N. Damage in porcelain accounts for up to 63% reduction of whole structure stiffness from the undamaged state. The failure process in porcelain layer can be described by an exponential rate of fracture energy dissipation. This study demonstrated that the proposed finite element model and analysis procedure can be use to predict the nonlinear behavior of tooth implant
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