• Utvikling og evaluering av AmmE-læring – et digitalt nettkurs i ammeveiledning for studenter og helsepersonell 

    Aglen, Bjørg Synøve; Lona, Ann-Magrit; Solbjørg, Ole Kristen; Bærug, Anne Bergljot; Dahl, Berit Misund; Blindheim, Kari; Aune, Ingvild (Research report, 2024)
    AmmE-læring er et nettkurs i ammeveiledning som er utviklet i et nasjonalt samarbeid mellom aktører fra forskning, utdanning og praksis. Kurset er gratis og tilgjengelig for alle, mot at man registrerer seg. Målgruppene ...
  • Multiset permutation generation by transpositions 

    Rivertz, Hans (Journal article, 2023)
    This paper proposes a new algorithm for generating all permutations of multisets. The method uses transpositions only and adjacent transpositions are favoured. The algorithm requires a strong homogeneous transposition ...
  • Uncertainty, expertise, and persuasion: A replication and extension of Karmarkar and Tormala (2010) 

    Løhre, Erik; Chandrashekar, Subramanya Prasad; Mayiwar, Lewend; Hærem, Thorvald (Journal article; Peer reviewed, 2024)
    If you are trying to persuade someone, expressing your opinion with certainty intuitively seems like a good strategy to maximize your influence. However, Karmarkar and Tormala (2010) found that the effectiveness of this ...
  • A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study 

    Luzum, Geske; Thrane, Gyrd; Aam, Stina; Eldholm, Rannveig Sakshaug; Grambaite, Ramune; Munthe-Kaas, Ragnhild; Thingstad, Anne Pernille Mæhle; Saltvedt, Ingvild; Askim, Torunn (Journal article; Peer reviewed, 2014)
    Objective: This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data from the acute and sub-acute phases after stroke in a machine-learning set-up. Design: A prospective multicenter ...
  • Local Drift Forecasting with Simplified Ocean Models and Multi-Level Data Assimilation 

    Beiser, Florian (Doctoral theses at NTNU;2024:241, Doctoral thesis, 2024)
    Search-and-rescue operations at sea are supported by fast predictions of drift trajectories that are classically based on operational ocean models. This thesis promotes a complementary approach for drift forecasting based ...

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