Bjørg Mikalsen

• Hamnvik, Sondre; Bernabé, Pierre; Sen, Sagar & Mikalsen, Bjørg (2020). Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea, In Christian Bessiere (ed.),  Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020.  International Joint Conferences on Artificial Intelligence.  ISBN 978-0-9992411-6-5.  kap..  s 5234 - 5236 Show summary

  Obstructive sleep apnea is a serious sleep disorder that affects an estimated one billion adults worldwide. It causes breathing to repeatedly stop and start during sleep which over years increases the risk of hypertension, heart disease, stroke, Alzheimer's, and cancer. In this demo, we present Yolo4Apnea a deep learning system extending You Only Look Once (Yolo) system to detect sleep apnea events from abdominal breathing patterns in real-time enabling immediate awareness and action. Abdominal breathing is measured using a respiratory inductance plethysmography sensor worn around the stomach. The source code is available at https://github.com/simula-vias/Yolo4Apnea

• McGarvey, Alice; Karivelil, Deepak; Byrne, Elaine & Mikalsen, Bjørg (2020). International Students’ Experience of Medical Training in an English-Speaking European Country. Journal of Studies in International Education.  ISSN 1028-3153. . doi: 10.1177/1028315320976029
• Rajmohan, Tanusan; Nguyen, Phu Hong; Ferry, Nicolas & Mikalsen, Bjørg (2020). A Systematic Mapping of Patterns and Architectures for IoT Security, In Gary Wills; Péter Kacsuk & Victor Chang (ed.),  Proceedings of the 5th International Conference on Internet of Things, Big Data and Security.  SciTePress.  ISBN 978-989-758-426-8.  Volume 1: IoTBDS.  s 138 - 149
• Rajmohan, Tanusan; Nguyen, Phu Hong; Ferry, Nicolas & Mikalsen, Bjørg (2020). Research Landscape of Patterns and Architectures for IoT Security: A Systematic Review, In  Proceedings of 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2020).  IEEE.  ISBN 978-1-7281-9533-9.  Conference Proceedings.  s 463 - 470 Show summary

  We have entered a tremendous computerized rev-olution of the Internet of Things (IoT) era when everything is connected. The popularity of IoT systems makes security for the IoT of paramount importance. Security patterns consist of domain-independent time-proven security knowledge and expertise. Would they be applicable to develop secure IoT systems? We aim to draw a research landscape of patterns and architectures for IoT security by conducting a systematic literature review. From more than a thousand of candidate papers, we have systematically distinguished and analyzed twenty-two (22) papers that have been published around patterns and architectures for IoT security (and privacy). Our analysis shows a rise in the number of publications tending to security patterns and architectures in the last two years. Within this rise, we see that most patterns and architectures are applicable for all IoT systems, while some are limited within specific domains. However, there are gaps in this research area that can be filled in to promote the utilization of patterns for IoT security and privacy.

• Sen, Sagar; Bernabé, Pierre; Husom, Erik Johannes B. L. G. & Mikalsen, Bjørg (2020). DeepVentilation: Learning to Predict Physical Effort from Breathing, In Christian Bessiere (ed.),  Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020.  International Joint Conferences on Artificial Intelligence.  ISBN 978-0-9992411-6-5.  kap..  s 5231 - 5233 Show summary

  Tracking physical effort from physiological signals has enabled people to manage required activity levels in our increasingly sedentary and automated world. Breathing is a physiological process that is a reactive representation of our physical effort. In this demo, we present DeepVentilation, a deep learning system to predict minute ventilation in litres of air a person moves in one minute uniquely from real-time measurement of rib-cage breathing forces. DeepVentilation has been trained on input signals of expansion and contraction of the rib-cage obtained using a non-invasive respiratory inductance plethysmography sensor to predict minute ventilation as observed from a face/head mounted exercise spirometer. The system is used to track physical effort closely matching our perception of actual exercise intensity. The source code for the demo is available here: https://github.com/simula-vias/DeepVentilation

• Mikalsen, Bjørg; Fosby, Bjarte; Wang, Jacob Edward; Hammarstrom, C; Brundvold, Hilde; Lundström, Marlene; Kasprzycka, Monika; Scott, Helge; Line, Pål Dag & Haraldsen, Guttorm (2010). Genome-Wide Transcription Profile of Endothelial Cells After Cardiac Transplantation in the Rat. American Journal of Transplantation.  ISSN 1600-6135.  10(7), s 1534- 1544 . doi: 10.1111/j.1600-6143.2010.03157.x
• Tooming-Klunderud, Ave; Mikalsen, Bjørg; Kristensen, Tom & Jakobsen, Kjetill Sigurd (2008). The mosaic structure of the mcyABC operon in Microcystis. Microbiology.  ISSN 1350-0872.  154, s 1886- 1899 . doi: 10.1099/mic.0.2007/015875-0
• Mikalsen, Bjørg; Boison, G; Skulberg, Olav M.; Fastner, J; Davies, William; Gabrielsen, Tove M; Rudi, Knut & Jakobsen, Kjetill Sigurd (2003). Natural variation in the microcystin synthetase operon mcyABC and impact on microcystin production in Microcystis strains. Journal of Bacteriology.  ISSN 0021-9193.  185(9), s 2774- 2785 . doi: 10.1128/JB.185.9.2774-2785.2003 Show summary

  Toxic Microcystis strains often produce several isoforms of the cyclic hepatotoxin microcystin, and more than 65 isoforms are known. This has been attributed to relaxed substrate specificity of the adenylation domain. Our results show that in addition to this, variability is also caused by genetic variation in the microcystin synthetase genes. Genetic characterization of a region of the adenylation domain in module mcyB1 resulted in identification of two groups of genetic variants in closely related Microcystis strains. Sequence analyses suggested that the genetic variation is due to recombination events between mcyB1 and the corresponding domains in mcyC. Each variant could be correlated to a particular microcystin isoform profile, as identified by matrix-assisted laser desorption ionization-time of flight mass spectrometry. Among the Microcystis species studied, we found 11 strains containing different variants of the mcyABC gene cluster and 7 strains lacking the genes. Furthermore, there is no concordance between the phylogenies generated with mcyB1, 16S ribosomal DNA, and DNA fingerprinting. Collectively, these results suggest that recombination between imperfect repeats, gene loss, and horizontal gene transfer can explain the distribution and variation within the mcyABC operon.

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• Mikalsen, Bjørg & Haraldsen, Guttorm (2011). Genome-wide endothelial cell activation profiles and matricellular protein expression after solid organ transplantation. Series of dissertations submitted to the Faculty of Medicine, University of Oslo. No. 1067.
• Mikalsen, Bjørg; Lundström, Marlene; Fosby, Bjarte; Hammarstrom, C; Bjaerke, H; Wang, J; Kasprzycka, Monika; Scott, Helge; Line, Pål Dag & Haraldsen, Guttorm (2008). Genome-wide transcription profiles of endothelial cells during cardiac allograft rejection. Scandinavian Journal of Immunology.  ISSN 0300-9475.  68, s 220- 221

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