• Application, limitations, costs and benefits related to the use of blockchain technology in the seafood industry 

      Olsen, Jens Petter; Syed, Shaheen; Borit, Melania; Boéchat, Céline (Research report; Forskningsrapport, 2022)
      This report was commissioned to outline applications, limitations, costs, and benefits related to the use of blockchain technology in the seafood industry, and in particular to evaluate the pros and cons of having a blockchain-based food traceability system compared to a traditional electronic traceability system. This is an update of the previous Nofima report on a similar topic from 2019. The key ...
    • Applications, limitations, costs, and benefits related to the use of blockchain technology in the food industry 

      Olsen, Petter; Borit, Melania; Syed, Shaheen (Research report; Forskningsrapport, 2019-02)
      This report was commissioned to outline applications, limitations, costs, and benefits related to the use of blockchain technology in the food industry, and in particular to evaluate the pros and cons of having a blockchain-based food traceability system compared to a traditional electronic traceability system. The key concepts relating to traceability, and the components of a food traceability ...
    • Characterization of vasskveite (water halibut) syndrome for automated detection 

      Ortega, Samuel; Ofstad, Ragni; Syed, Shaheen; Kranz, Mathias; Heia, Karsten; Anderssen, Kathryn Elizabeth (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-23)
      In recent years, cases of vasskveite (water halibut) syndrome in halibut have been increasing. At the moment, there exists no way to screen for the syndrome immediately after capture, which is problematic for both exporters and purchasers. In this article, we compared good quality halibut and halibut exhibiting the syndrome using a variety of techniques. Hyperspectral imaging was used to quantify ...
    • Criterion validity of the Saltin-Grimby Physical Activity Level Scale in adolescents. The Fit Futures Study 

      Beldo, Sigurd Klemetsen; Aars, Nils Abel; Christoffersen, Tore; Furberg, Anne-Sofie; Halvorsen, Peder Andreas; Hansen, Bjørge Hermann; Horsch, Alexander; Sagelv, Edvard Hamnvik; Syed, Shaheen; Morseth, Bente (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-01)
      Background<p> <p>The Saltin-Grimby Physical Activity Level Scale (SGPALS) is commonly used to measure physical activity (PA) in population studies, but its validity in adolescents is unknown. This study aimed to assess the criterion validity of the SGPALS against accelerometry in a large sample of adolescents. A secondary aim was to examine the validity across strata of sex, body mass index (BMI), ...
    • Diffusion tensor imaging for spatially-resolved characterization of muscle fiber structure in seafood 

      Anderssen, Kathryn Elizabeth; Kranz, Mathias; Syed, Shaheen; Stormo, Svein Kristian (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-08)
      The fiber structure of tissue in meat and seafood has a significant impact on their perceived quality. However, quantifiable description of muscle structure is challenging. We investigate diffusion tensor imaging (DTI) magnetic resonance imaging (MRI) as a method to quantitatively describe tissue structure. DTI measures the anisotropy of water molecule diffusion within muscle fibers. A pilot study ...
    • Diffusion tensor imaging for spatially-resolved characterization of muscle fiber structure in seafood 

      Anderssen, Kathryn Elizabeth; Kranz, Mathias; Syed, Shaheen; Stormo, Svein Kristian (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-08)
      The fiber structure of tissue in meat and seafood has a significant impact on their perceived quality. However, quantifiable description of muscle structure is challenging. We investigate diffusion tensor imaging (DTI) magnetic resonance imaging (MRI) as a method to quantitatively describe tissue structure. DTI measures the anisotropy of water molecule diffusion within muscle fibers. A pilot study ...
    • Evaluating the performance of raw and epoch non-wear algorithms using multiple accelerometers and electrocardiogram recordings 

      Syed, Shaheen; Morseth, Bente; Hopstock, Laila Arnesdatter; Horsch, Alexander (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-04-03)
      Accurate detection of accelerometer non-wear time is crucial for calculating physical activity summary statistics. In this study, we evaluated three epoch-based non-wear algorithms (Hecht, Troiano, and Choi) and one raw-based algorithm (Hees). In addition, we performed a sensitivity analysis to provide insight into the relationship between the algorithms’ hyperparameters and classification performance, ...
    • Individual quotas and revenue risk of fishing portfolio in the trawl fishery 

      Alizadeh, Tannaz; Syed, Shaheen; Eide, Arne (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-03)
      The Norwegian bottom-trawl fleet is managed through individual vessel quotas and is generally engaged in codfish fisheries, where several species contribute to the revenue of the fishery. The revenue from the fishing exhibits substantial intra-annual variation and carries a significant degree of risk due to the presence of intrinsic volatilities in the marine environment, such as seasonal fluctuations ...
    • Interdisciplinary optimism? Sentiment analysis of Twitter data 

      Weber, Charlotte Teresa; Syed, Shaheen (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-31)
      Interdisciplinary research has faced many challenges, including institutional, cultural and practical ones, while it has also been reported as a ‘career risk’ and even ‘career suicide’ for researchers pursuing such an education and approach. Yet, the propagation of challenges and risks can easily lead to a feeling of anxiety and disempowerment in researchers, which we think is counterproductive to ...
    • Narrow lenses for capturing the complexity of fisheries: A topic analysis of fisheries science from 1990 to 2016 

      Syed, Shaheen; Borit, Melania; Spruit, Marco (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-04-20)
      Despite increased fisheries science output and publication outlets, the global crisis in fisheries management is as present as ever. Since a narrow research focus may be a contributing factor to this failure, this study uncovers topics in fisheries research and their trends over time. This interdisciplinary research evaluates whether science is diversifying fisheries research topics in an attempt ...
    • A novel algorithm to detect non-wear time from raw accelerometer data using deep convolutional neural networks 

      Syed, Shaheen; Morseth, Bente; Hopstock, Laila Arnesdatter; Horsch, Alexander (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-23)
      To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value. A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors), which limits detecting both short and longer episodes of ...
    • Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging 

      Anderssen, Kathryn Elizabeth; Syed, Shaheen; Stormo, Svein Kristian (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-01)
      Freezing of fish is an important processing method that can extend the shelf life of the product but can also lead to significant damage to the tissue if performed incorrectly. In order to thoroughly evaluate different freezing protocols, a method to characterize the extent and distribution of damage from freezing is needed. Magnetic resonance imaging (MRI) was tested as a technique to map and ...
    • Using Machine Learning to Uncover Latent Research Topics in Fishery Models 

      Syed, Shaheen; Weber, Charlotte Teresa (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-01-16)
      Modeling has become the most commonly used method in fisheries science, with numerous types of models and approaches available today. The large variety of models and the overwhelming amount of scientific literature published yearly can make it difficult to effectively access and use the output of fisheries modeling publications. In particular, the underlying topic of an article cannot always be ...
    • Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries 

      Syed, Shaheen; Anderssen, Kathryn Elizabeth; Stormo, Svein Kristian; Kranz, Mathias (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-13)
      Fully supervised semantic segmentation models require pixel-level annotations that are costly to obtain. As a remedy, weakly supervised semantic segmentation has been proposed, where image-level labels and class activation maps (CAM) can detect discriminative regions for specific class objects. In this paper, we evaluated several CAM methods applied to different convolutional neural networks (CNN) ...