Magisteruppsatser

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    WOMEN IN FORESTRY, A VALUABLE ASSET OR BODIES OUT OF PLACE?
    (2019-02-20) Nordh, Kristina; Institutionen för matematiska vetenskaper; Department of Mathematical Sciences
    This thesis investigates what it can mean to be a woman in forestry in Jönköping County. It asks how the participant experience their situation as women in forestry and what gendered power structures appear in their stories. Additionally, the thesis analyses how the “Forest Strategy for Småland”, by Jönköping County Council, perceives and recreates the understanding of gender equality.The analysis is based on Puwars theories of gendered bodies in spaces not created for them; called “bodies out of place”. Additionally, the analysis focalises social reproduction theory by Battacharya, research on policy making by Alnebratt and Rönnblom, and research on gender in forestry by Andersson and Lidestav, among others. Through reflexive in-depth interviews with 8 participants, the thesis shows how the gendered structures of forestry are recreated in everyday work life. The analysis shows how the participants must relate to the masculine norm for forestry in their everyday work life. Furthermore, the analysis shows gendered power structures that promotes men over women and exposes women to sexist harassment, but also how women can sometimes participate in maintaining gendered power structures. Finally, the thesis makes suggestions for a feminist and more progressive forest strategy to achieve an inclusive gender equality.
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    Parameter identification in a mathematical model of HIV infection with drug therapy
    (2017-12-12) Eriksson, Martin; Institutionen för matematiska vetenskaper; Department of Mathematical Sciences
    Parameter identification problems are frequently occurring within biomedical applications. These problems are often ill-posed, and thus challenging to solve numerically. Previously, it has been suggested that minimization of the Tikhonov functional using a time-adaptive nite element method could be useful for determining the drug efficacy for treatment of HIV infection. In this thesis, the suggested method was implemented and numerically tested in MATLAB. The results, however, suggested that the method might be unsuitable for these kinds of problems; instead, elementary methods were found to be more plausible. The methods presented in the thesis can eventually be used by clinicians to determine the drug-response for each treated individual. The exact knowledge of the personal drug efficacy can aid in the determination of the most suitable drug as well as the most optimal dose for each individual, in the long run resulting in a personalized treatment with maximum efficacy and minimum adverse drug reactions.