Search for dissertations about: "extrapolation"
Showing result 11 - 15 of 112 swedish dissertations containing the word extrapolation.
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11. Hepatic Disposition of Drugs and the Utility of Mechanistic Modelling and Simulation
Abstract : The elimination of drugs from the body is in many cases performed by the liver. Much could be gained if an accurate prediction of this process could be made early in the development of new drugs. However, for the elimination to occur, the drug molecule needs first to get inside the liver cell. READ MORE
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12. In vitro and in silico Predictions of Hepatic Transporter-Mediated Drug Clearance and Drug-Drug Interactions in vivo
Abstract : The liver is the major detoxifying organ, clearing the blood from drugs and other xenobiotics. The extent of hepatic clearance (CL) determines drug exposure and hence, the efficacy and toxicity associated with exposure. Drug-drug interactions (DDIs) that alter the hepatic CL may cause more or less severe outcomes, such as adverse drug reactions. READ MORE
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13. Polymeric materials in nuclear power plants : Lifetime prediction, condition monitoring and simulation of ageing
Abstract : Nuclear power plants generate a significant part of the world’s electrical power consumption. However, many plants are nearing the end of their designed lifetime, and to extend the lifetime it is important to verify that every component can withstand the added service time. This includes polymeric materials, which become brittle with time. READ MORE
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14. Developing the third generation Calphad models and descriptions: a journey from unary to higher-order systems
Abstract : The third generation Calphad descriptions aim to provide more accurate computational thermodynamics for an extended temperature range, i.e. from 0 K to high temperatures. In order to achieve such a goal, new Calphad models are needed. READ MORE
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15. Large-Scale Optimization With Machine Learning Applications
Abstract : This thesis aims at developing efficient algorithms for solving some fundamental engineering problems in data science and machine learning. We investigate a variety of acceleration techniques for improving the convergence times of optimization algorithms. READ MORE