The research described in this thesis is part of a network project involving the growth of metal nanostructures on surfaces of solids, a Horizon 2020 project titled ELENA. The part of the project described here involved the use of various approaches ...

Background: Major depression is the most common psychiatric disorder, associated with the highest disease burden worldwide when it comes to years lost to disability. Efforts to identify indicators of depression risk have strongly implicated depressive ...

Climate warming in sub-Arctic regions leads to shifts in plant communities and retreating glaciers. Mosses and lichens contribute to important ecosystem processes in these environments, including nitrogen fixation via their microbiome. The first objective ...

This dissertation collects my five self-studies to make meaning of my doctoral project. I explore the path to empowerment in becoming a hybrid educator through the Self- Study of Teacher Education Practices (S-STEP/self-study) methodology. In each ...

Becoming Cosmopolitan Citizen Architects: A Reflection on Architectural Education in a Nordic–Baltic Perspective This doctoral thesis contributes to the discussion of how architectural education can be advanced to respond better to the current climate ...

Archaeology has been fundamentally entangled in colonial power dynamics and nationalist schemes. This entanglement is clearly evident in Iceland, as our discipline has been, and continues to be, a vital tool in shaping and reshaping the Icelandic ...

Today, society is reliant on nonrenewable fossil fuels and petrochemical derivatives. As the global population increases, energy and materials are rapidly diminishing, and a drastic, responsive change is needed to achieve a more sustainable world. It ...

Aims: The aim of the doctoral project was to develop and assess data extraction and analysis methods specific to the anterior cruciate ligament injury mechanism. The aim of paper I was to evaluate differences in the timing of the peak knee valgus moment ...

The subject of this thesis is blind hyperspectral unmixing using deep learning based autoencoders. Two methods based on autoencoders are proposed and analyzed. Both methods seek to exploit the spatial correlations in the hyperspectral images to improve ...

Germline mutations in BRCA2 increase the risk of breast and ovarian cancer. The BRCA2 protein is involved in maintaining genomic stability through its roles in DNA double strand break repair and protection of stalled replication forks. The BRCA2 gene ...