Search for dissertations about: "G. Poor"
Showing result 1 - 5 of 398 swedish dissertations containing the words G. Poor.
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1. Wavelet Analysis of Economic Time Series
Abstract : Economic theory commonly distinguishes between different time horizons such as the short run and the long run. Models with many time horizons are easily studied in the frequency domain, because the various time horizons are associated with a particular frequency or band of frequencies. READ MORE
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2. Co-management Challenges In The Lake Victoria Fisheries : A Context Approach
Abstract : This doctoral thesis examines the challenges to co-management in the Tanzania part of Lake Victoria. The study mainly addresses the Nile perch fishery and uses the fishing communities of Bukoba Rural district, Tanzania as a case study. READ MORE
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3. Comparative Genomics in Diplomonads : Lifestyle Variations Revealed at Genetic Level
Abstract : As sequencing technologies advance genome studies are becoming a basic tool for studying an organism, and with more genomes available comparative genomics is maturing into a powerful tool for biological research. This thesis demonstrates the strength of a comparative genomics approach on a group of understudied eukaryotes, the diplomonads. READ MORE
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4. Computational Analysis of Aqueous Drug Solubility – Influence of the Solid State
Abstract : Aqueous solubility is a key parameter influencing the bioavailability of drugs and drug candidates. In this thesis computational models for the prediction of aqueous drug solubility were explored. READ MORE
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5. Multiple Medicine Use : Patients’ and general practitioners’ perceptions and patterns of use in relation to age and other patient characteristics
Abstract : There are widespread concerns about the increasing use of multiple medicines. The aims of this thesis were to identify older patients' and general practitioners' (GPs) attitudes to and experiences of multiple medicine use, as well as to describe patterns of multiple medicine use in different age groups in association with patient-related factors. READ MORE
