Search for dissertations about: "challenges in human interpretation"
Showing result 1 - 5 of 34 swedish dissertations containing the words challenges in human interpretation.
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1. Travelling through time : Students’ interpretation of evolutionary time in dynamic visualizations
Abstract : Evolutionary knowledge is important to understand and address contemporary challenges such as loss of biodiversity, climate change and antibiotic resistance. An important aspect that is considered to be a threshold concept in teaching and learning about evolution is the time it involves. READ MORE
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2. Habilitation in focus : A human service organization and its challenges
Abstract : This dissertation explores intervention practices for children and young persons with developmental disabilities. It focuses especially health and medically related services provided by the local children habilitation centres (CHC: s), where everyday services are carried out by interprofessional teams of habilitation specialists. READ MORE
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3. Archaeological Challenges, Digital Possibilities : Digital Knowledge Development and Communication in Contract Archaeology
Abstract : This research concerns the digitalisation of archaeology, with a focus on Swedish contract archaeology. The aim is to understand how the archaeological discipline relates to the change that digitalisation brings and human involvement in these processes. READ MORE
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4. Making Methods Work in Software Engineering : Method Deployment - as a Social Achievement
Abstract : The software engineering community is concerned with improvements in existing methods and development of new and better methods. The research approaches applied to take on this challenge have hitherto focused heavily on the formal and specifying aspect of the method. READ MORE
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5. Probing brain microstructure with multidimensional diffusion MRI: Encoding, interpretation, and the role of exchange
Abstract : Diffusion MRI (dMRI) is a non-invasive probe of human brain microstructure. It is a long-standing promise to use dMRI for ‘in vivo histology’ and estimate tissue quantities. However, this faces several challenges. First, the microstructure models used for dMRI data are based on assumptions that may cause erroneous interpretations. READ MORE