Search for dissertations about: "Richard Johansson"
Showing result 11 - 15 of 17 swedish dissertations containing the words Richard Johansson.
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11. Mild Traumatic Brain Injury : Studies on outcome and prognostic factors
Abstract : Objectives: To explore the prevalence and structure of self-reported disability after mild traumatic brain injury and the impact of traumatic brain pathology on such outcome.Material and methods: In study 1-3, symptoms data were collected by use of Rivermead Post-concussion Symptoms Questionnaire (RPQ) and data on global function by use of Glasgow Outcome Scale Extended (GOSE) from 2602 patients at 3 months after MTBI. READ MORE
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12. Exploring Selectivity and Hysteresis : Kinetic Studies on a Potato Epoxide Hydrolase
Abstract : The kinetic mechanism of an α/β hydrolase fold epoxide hydrolase from potato, StEH1, has been studied with the aims of explaining the underlying causes for enantio- and regioselectivity, both being important for product purity. Further effort has been laid upon understanding the causes of a hysteretic behavior discovered in the measurements leading to Paper I. READ MORE
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13. Analyses of shotcrete stress states due to varying lining thickness and irregular rock surfaces
Abstract : Shotcrete is sprayed concrete applied pneumatically under high pressure and was invented in the beginning of the 1900's. This new technique decreased the construction time and since steel fibres were introduced in the shotcrete during the 1970's, shotcrete has been the primary support method for tunnels. READ MORE
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14. Structural behaviour of shotcrete in hard rock tunnels
Abstract : Tunnels in hard and jointed rock are normally excavated in an arch shape to enable the rock mass to support its weight. Since the beginning of the 1980's, fibre reinforced shotcrete (FRS) in combination with rock bolts have been the dominating support method for hard rock tunnels. READ MORE
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15. High-Performance Computing For Support Vector Machines
Abstract : Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. READ MORE