• Implementing Learning Analytics in Norway: Four Central Dilemmas 

  Lillehaug, Barbara Wasson; Giannakos, Michail; Blikstad-Balas, Marte; Uppstad, Per Henning; Langford, Malcolm; Bøhn, Einar Duenger (Journal article; Peer reviewed, 2024)

  In June 2022, the Norwegian Expert Commission on Learning Analytics delivered an interim report to the Norwegian Minister of Education and Research. Motivated by the need to establish a solid foundation upon which to ...

• Resilience and mindfulness among radiological personnel in Norway, their relationship and their impact on quality and safety– a questionnaire study 

  Gransjøen, Ann Mari (Journal article; Peer reviewed, 2024)

  Background: Stress and burnout are widespread problems among radiological personnel Individual and organizational resilience and mindfulness offer protection against burnout. Aim: To investigate the level of resilience ...

• A Systematic Mapping Study and a Review of the Optimization Methods of Structures in Architectural Design 

  Izumi, Bunji; Luczkowski, Marcin; Labonnote, Nathalie; Manum, Bendik; Rønnquist, Anders (Journal article; Peer reviewed, 2024)

  Structural optimization has gained popularity in modern structural design, helping to reduce material consumption while maintaining the structural performance of buildings. This process also significantly influences the ...

• Decreasing lifetime prevalence of diabetes-related foot ulcers in Norway: repeated cross-sectional population-based surveys from the HUNT study (1995-2019) 

  Riise, Hilde Kristin Refvik; Igland, Jannicke; Graue, Marit; Haugstvedt, Anne; Østbye, Truls; Søfteland, Eirik; Hermann, Monica; Carlsson, Sofia; Åsvold, Bjørn Olav; Iversen, Marjolein M. (Journal article; Peer reviewed, 2024)

  Background and aims: Diabetes-related foot ulcers (DFU) are a persistent healthcare challenge, impacting both patients and healthcare systems, with adverse effects on quality of life and productivity. Our primary aim was ...

• Rapid pedestrian-level wind field prediction for early-stage design using Pareto-optimized convolutional neural networks 

  Clemente, Alfredo Vicente; Giljarhus, Knut Erik Teigen; Oggiano, Luca; Ruocco, Massimiliano (Journal article; Peer reviewed, 2024)

  Traditional computational fluid dynamics (CFD) methods used for wind field prediction can be time-consuming, limiting architectural creativity in the early-stage design process. Deep learning models have the potential to ...

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