Search for dissertations about: "time-dependence"
Showing result 1 - 5 of 41 swedish dissertations containing the word time-dependence.
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1. Gadodiamide injection for Enhancement of MRI in the CNS. Applications, dose, field and time dependence
Abstract : Aims of the study The aims of this study using Gadodiamide injection were to investigate: · Whether Gadodiamide injection was comparable to Gd-DTPA for the enhancement of CNS lesions. · The contrast effect at different field strengths. · The effective time-window for the enhancement of blood-brain barrier damage. READ MORE
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2. Prognostic factors in soft tissue sarcoma. Tissue microarray for immunostaining, the importance of whole-tumor sections and time-dependence
Abstract : In adult soft tissue sarcoma (STS) of the extremities and trunk wall, improved prognostic factors are needed to identify patients at high-risk for metastasis. Various factors are included in the many prognostic systems currently in use and the prognostic value of immunohistochemical (IHC) expression of biological markers is unclear. READ MORE
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3. Applications of diffusion MRI: Tensor-valued encoding, time-dependent diffusion, and histological validation
Abstract : Diffusion MRI (dMRI) sensitizes the MR signal to the diffusion of water molecules at the microscopic level and thereby non-invasively probes tissue microstructure. This is relevant when determining biological properties of tissues, for example, cancer type and its malignancy. READ MORE
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4. Studies on Diffusion of Surfactants and Macromolecules
Abstract : A new apparatus for measuring the translational diffusion coefficient in liquids at steady state is presented. The advantages of the described technique are i. the ability to characterize the dependence of the diffusion coefficient on concentration with a single experiment, and ii. READ MORE
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5. Fluid mechanical simulations and development for vertical axis turbines
Abstract : The aerodynamics of vertical axis turbines is typically studied using streamtube, vortex or CFD models. This thesis focuses on the first two models, which are the computationally faster ones. READ MORE