This is the institutional repository for peer reviewed articles published in open access and doctoral dissertations by the Agricultural University of Iceland, the Iceland Academy of the Arts, the National and University Library of Iceland, Reykjavik University, the University of Akureyri, Bifröst University, Hólar University College and the University of Iceland. Open access to research results is in accordance with article 10 from the Act on public support for research / 2003 No 3 and is compliant with requirements from international and domestic research fund programs. The purpose of the Open Science repository is to make results of research conducted at Icelandic universities accessible to the public online without hindrance or charge. Deposits to the repository are permanent and are intended to ensure future access to all published scientific material of the Icelandic research community. By collecting this material together in one collection access is made simple and easy for anyone who wishes to study the considerable scientific work conducted in Iceland.

The repository is OpenAIRE / OpenAIREplus compliant and in accordance with requirements for publication of research results from projects supported by the European research programs FP7 and H2020.

The repository uses the open software DSpace.

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    Five-Year Teacher Education for Compulsory School in Iceland : Retreat from Research-Based to Practice-Oriented Teacher Education? 
    Sigurðsson, Baldur; Björnsdóttir, Amalía; Jóhannsdóttir, Thurídur Jóna; Elstad, Eyvind (Springer International Publishing, 2023)
    In 2008 the teacher education in Iceland was extended from a three-year bachelor program to a five-year program, ending with a master’s degree. The intention was to give teacher education more solid research base, manifested in a 30 ECTS master’s thesis ...
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    Description of the Method for Evaluating Digital Endpoints in Alzheimer Disease Study : Protocol for an Exploratory, Cross-sectional Study 
    Curcic, Jelena; Vallejo, Vanessa; Sorinas, Jennifer; Sverdlov, Oleksandr; Praestgaard, Jens; Piksa, Mateusz; Deurinck, Mark; Erdemli, Gul; Bügler, Maximilian; Tarnanas, Ioannis; Taptiklis, Nick; Cormack, Francesca; Anker, Rebekka; Massé, Fabien; Souillard-Mandar, William; Intrator, Nathan; Molcho, Lior; Madero, Erica; Bott, Nicholas; Chambers, Mieko; Tamory, Josef; Shulz, Matias; Fernandez, Gerardo; Simpson, William; Robin, Jessica; Snædal, Jón G; Cha, Jang-Ho; Hannesdottir, Kristin (2022-08-10)
    BACKGROUND: More sensitive and less burdensome efficacy end points are urgently needed to improve the effectiveness of clinical drug development for Alzheimer disease (AD). Although conventional end points lack sensitivity, digital technologies hold ...
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    2D Shear Wave Elastography, a promising screening tool for Cystic Fibrosis liver disease, shows a correlation between vitamin D and liver stiffness 
    Elídóttir, Helga; Cr, Hansen; S, Diemer; Ea, Eklund (2022-09)
    BACKGROUND: Liver disease in Cystic Fibrosis (CFLD) is an early complication of CF. Evidence of CFLD is often subclinical and screening is recommended. Screening includes a biochemical work-up and an ultrasound investigation. Non-invasive methods ...
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    Development of a prognostic model of COVID-19 severity : a population-based cohort study in Iceland 
    Eythorsson, Elias; Bjarnadottir, Valgerdur; Runólfsdóttir, Hrafnhildur L.; Helgason, Dadi; Ingvarsson, Ragnar Freyr; Björnsson, Helgi Kristinn; Ólafsdóttir, Lovísa Björk; Bjarnadottir, Solveig; Ágústsson, Arnar Snær; Oskarsdottir, Kristin; Thorvaldsson, Hrafn Hliddal; Kristjansdottir, Gudrun; Björnsson, Aron Hjalti; Emilsdóttir, Arna Rut; Ármannsdóttir, Brynja; Guðlaugsson, Ólafur; Hansdóttir, Sif; Gottfreðsson, Magnús; Bjarnason, Agnar; Sigurðsson, Martin Ingi; Indriðason, Ólafur Skúli; Pálsson, Runólfur (2022-09-08)
    BACKGROUND: The severity of SARS-CoV-2 infection varies from asymptomatic state to severe respiratory failure and the clinical course is difficult to predict. The aim of the study was to develop a prognostic model to predict the severity of COVID-19 ...
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    A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids 
    Million Veterans Program; Global Lipids Genetics Consortium (2022-08-04)
    A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of ...

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