Blar i Institutt for matematiske fag på tidsskrift "Scientific Reports"

Viser treff 1-8 av 8

    • Action Representation in the Mouse Parieto-Frontal Network 

      Tombaz, Tuce; Dunn, Benjamin Adric; Hovde, Karoline; Cubero, Ryan John Abat; Mimica, Bartul; Mamidanna, Pranav; Roudi, Yasser; Whitlock, Jonathan (Peer reviewed; Journal article, 2020)
      The posterior parietal cortex (PPC) and frontal motor areas comprise a cortical network supporting goal-directed behaviour, with functions including sensorimotor transformations and decision making. In primates, this network ...

    • Arabidopsis myrosinases link the glucosinolate-myrosinase system and the cuticle. 

      Ahuja, Ishita; de Vos, RCH; Rohloff, Jens; Stoopen, G; Halle, Kari Krizak; Ahmad, SJN; Hoang, Linh; Hall, RD; Bones, Atle M. (Journal article; Peer reviewed, 2016)
      Both physical barriers and reactive phytochemicals represent two important components of a plant’s defence system against environmental stress. However, these two defence systems have generally been studied independently. ...

    • Assessing short-term risk of ischemic stroke in relation to all prescribed medications 

      Janszky, Imre; Vardaxis, Ioannis; Lindqvist, Bo Henry; Horn, Jens; Brumpton, Ben Michael; Strand, Linn Beate; Bakken, Inger Johanne Landsjøåsen; Alsnes, Ingvild Vatten; Romundstad, Pål Richard; Ljung, Rickard; Mukamal, Kenneth J.; Sen, Abhijit (Peer reviewed; Journal article, 2021)
      We examined the short-term risk of stroke associated with drugs prescribed in Norway or Sweden in a comprehensive, hypothesis-free manner using comprehensive nation-wide data. We identified 27,680 and 92,561 cases with a ...

    • Development of risk models of incident hypertension using machine learning on the HUNT study data 

      Schjerven, Filip Emil; Ingeström, Emma Maria Lovisa; Steinsland, Ingelin; Lindseth, Frank (Journal article; Peer reviewed, 2024)
      In this study, we aimed to create an 11-year hypertension risk prediction model using data from the Trøndelag Health (HUNT) Study in Norway, involving 17 852 individuals (20–85 years; 38% male; 24% incidence rate) with ...

    • Environmental DNA filtration techniques affect recovered biodiversity 

      Majaneva, Markus; Diserud, Ola Håvard; Eagle, Shannon; Boström, Erik; Hajibabaei, Mehrdad; Ekrem, Torbjørn (Journal article; Peer reviewed, 2018)
      Freshwater metazoan biodiversity assessment using environmental DNA (eDNA) captured on filters offers new opportunities for water quality management. Filtering of water in the field is a logistical advantage compared to ...

    • Integrating data from different survey types for population monitoring of an endangered species: the case of the Eld’s deer 

      Bowler, Diana Elizabeth; Nilsen, Erlend Birkeland; Bischof, Richard; O'Hara, Robert B.; Yu, Thin Thin; Oo, Tun; Aung, Myint; Linnell, John Durrus (Journal article; Peer reviewed, 2019)
      Despite its value for conservation decision-making, we lack information on population abundances for most species. Because establishing large-scale monitoring schemes is rarely feasible, statistical methods that combine ...

    • Multi-fidelity information fusion with concatenated neural networks 

      Pawar, Suraj; San, Omer; Vedula, Prakash; Rasheed, Adil; Kvamsdal, Trond (Journal article; Peer reviewed, 2022)
      Recently, computational modeling has shifted towards the use of statistical inference, deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many applications like design ...

    • Towards a data-driven system for personalized cervical cancer risk stratification 

      Langberg, Geir Severin Rakh Elvatun; Nygård, Jan Franz; Gogineni, Vinay Chakravarthi; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya (Peer reviewed; Journal article, 2022)
      Mass-screening programs for cervical cancer prevention in the Nordic countries have been effective in reducing cancer incidence and mortality at the population level. Women who have been regularly diagnosed with normal ...