Search for dissertations about: "dissertations on measurement and evaluation"
Showing result 1 - 5 of 94 swedish dissertations containing the words dissertations on measurement and evaluation.
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1. Magnetic Resonance Imaging of the Heart : Image quality, measurement accuracy and patient experience
Abstract : Background: Non-invasive diagnostic imaging of atherosclerotic coronary artery disease (CAD) is frequently carried out with cardiovascular magnetic resonance imaging (CMR) or myocardial perfusion single photon emission computed tomography (MPS). CMR is the gold standard for the evaluation of scar after myocardial infarction and MPS the clinical gold standard for ischemia. READ MORE
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2. Criterion-referenced measurement for educational evaluation and selection
Abstract : In recent years, Sweden has adopted a criterion-referenced grading system, where the grade outcome is used for several purposes, but foremost for educational evaluation on student- and school levels as well as for selection to higher education. This thesis investigates the consequences of using criterion-referenced measurement for both educational evaluation and selection purposes. READ MORE
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3. It is on my skin, on my soul, and on my life : development of a disease-specific quality of life instrument for adult patients with acute cutaneous leishmaniasis in Iran
Abstract : Background: Cutaneous leishmaniasis (CL), is the most common form of a group of diseases known as leishmaniases. They are caused by obligatory intracellular protozoa from the genus Leishmania and transmitted by sandflies. READ MORE
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4. Measurement and evaluation of body temperature : Implications for clinical practice
Abstract : The general aim was to explore factors influencing the normal variation and measurement of body temperature. Additional aims were to study morbidity, mortality and the clinical presentation of pneumonia and predictors for survival in elderly nursing-home residents. READ MORE
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5. Transport Analytics Based on Cellular Network Signalling Data
Abstract : Cellular networks of today generate a massive amount of signalling data. A large part of this signalling is generated to handle the mobility of subscribers and contains location information that can be used to fundamentally change our understanding of mobility patterns. READ MORE