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    • Operator focused automation of ROV operations 

      Teigland, Håkon; Hassani, Vahid; Møller, Ments Tore (Symposium on Autonomous Underwater Vehicle Technology (AUV); 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), Journal article; Peer reviewed, 2020-11-30)
      Aiming to provide higher level of autonomy in operation of Remotely Operated Vehicles (ROVs) in subsea industries, this paper aims at identifying the tasks in ROV operations that would see the greatest benefits from ...

    • CD8 + T cell gene expression analysis identifies differentially expressed genes between multiple sclerosis patients and healthy controls 

      Brorson, Ina Skaara; Eriksson, Anna Maria; Leikfoss, Ingvild Sørum; Vitelli, Valeria; Celius, Elisabeth Gulowsen; Luders, Torben; Berge, Tone; Harbo, Hanne Flinstad; Nilsen, Hilde; Bos-Haugen, Steffan Daniël (Multiple Sclerosis Journal, Experimental, Translational and Clinical;Volume: 6, issue: 4, Journal article; Peer reviewed, 2020-12-09)
      Background: Genetic and clinical observations have indicated T cells are involved in MS pathology. There is little insight in how T cells are involved and whether or not these can be used as markers for MS. Objectives: ...

    • Review of Weld Quality Classification Standard and Post Weld Fatigue Life Improvement Methods for Welded Joints 

      Bhardwaj, Sachin; Keprate, Arvind; Chandima Ratnayake, Mudiyanselage (Lecture Notes in Civil Engineering;Volume 110, Conference object, 2020-12-13)
      In typical fabricated structures, there are hundreds of joints, which acts as a potential location for fatigue cracking. Ageing and life extension (ALE) of such structures could be developed further by creating an optimal ...

    • Multiscale Damage Modelling of Composite Materials Using Bayesian Network 

      Keprate, Arvind; Moslemian, Ramin (Lecture Notes in Civil Engineering;Volume 110, Conference object, 2020-12-13)
      Fibre reinforced polymers or as they widely are known composite materials, have made it possible to develop and manufacture large wind turbine and tidal blades central to competitiveness of wind and tidal turbines against ...

    • Artificial Intelligence Based Approach for Predicting Fatigue Strength Using Composition and Process Parameters 

      Keprate, Arvind; Ratnayake Mudiyanselage, Chandima (International Conference on Offshore Mechanics and Arctic Engineering;Volume 3: Materials Technology, Conference object, 2020-12-18)
      Accurate prediction of the fatigue strength of steels is vital, due to the extremely high cost (and time) of fatigue testing and the often fatal consequences of fatigue failures. The work presented in this paper is an ...

    • Involving older adults in technology research and development discussions through dialogue cafés 

      Lund, Anne; Holthe, Torhild; Halvorsrud, Liv Torill; Karterud, Dag; Flakke-Johannessen, Adele; Lovett, Hilde; Thorstensen, Erik; Casagrande, Flavia Dias; Zouganeli, Evi; Norvoll, Reidun; Forsberg, Ellen-Marie (Peer reviewed; Journal article, 2021)
      Citizen involvement is important for ensuring the relevance and quality of many research and innovation efforts. Literature shows that inadequate citizen involvement poses an obstacle during the research, development, and ...

    • An overview of assessment tools for determination of biological Magnesium implant degradation 

      Hassan, Hafiz Wajahat; Grasso, Valeria; Korostynska, Olga; Khan, Haroon; Jose, Jithin; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)
      Medical implants made of biodegradable materials are advantageous for short-term applications as fracture fixation and mechanical support during bone healing. After completing the healing process, the implant biodegrades ...

    • Bridging the polar and hydrophobicmMetabolome in single-run untargeted liquid chromatography-mass spectrometry dried blood spot metabolomics for clinical purposes 

      Skogvold, Hanne Bendiksen; Sandås, Elise Mørk; Østeby, Anja; Løkken, Camilla; Rootwelt, Helge; Rønning, Per Ola; Wilson, Steven Ray Haakon; Elgstøen, Katja Benedikte Prestø (Peer reviewed; Journal article, 2021)
      Dried blood spot (DBS) metabolite analysis is a central tool for the clinic, e.g., newborn screening. Instead of applying multiple analytical methods, a single liquid chromatography-mass spectrometry (LC–MS) method was ...

    • Humoral immunity to SARS-CoV-2 mRNA vaccination in multiple sclerosis: The relevance of time since last rituximab infusion and first experience from sporadic revaccinations 

      König, Marton; Lorentzen, Åslaug Rudjord; Torgauten, Hilde Marie; Tran, Trung; Schikora-Rustad, Stine; Vaage, Eline Benno; Mygland, Åse Daasvand; Wergeland, Stig; Aarseth, Jan Harald; Aaberge, Ingeborg Sundsvalen; Torkildsen, Øivind; Holmøy, Trygve; Berge, Tone; Myhr, Kjell-Morten; Harbo, Hanne-Cathrin Flinstad; Andersen, Jan Terje; Munthe, Ludvig Andre; Søraas, Arne Vasli; Celius, Elisabeth Gulowsen; Vaage, John T.; Lund-Johansen, Fridtjof; Nygaard, Gro Owren (Peer reviewed; Journal article, 2021)
      Introduction The effect of disease-modifying therapies (DMT) on vaccine responses is largely unknown. Understanding the development of protective immunity is of paramount importance to fight the COVID-19 pandemic. Objective ...

    • Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events 

      Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (International Journal of Semantic Computing (IJSC);Volume 15, Issue 02, Peer reviewed; Journal article, 2021)
      Developing systems for the automatic detection of events in video is a task which has gained attention in many areas including sports. However, there are still a number of shortcomings with current systems, such as high ...

    • Feasibility study of multi-wavelength optical probe to analyze magnesium implant degradation effects 

      Hassan, Hafiz Wajahat; Mathew, Anna; Khan, Haroon; Korostynska, Olga; Mirtaheri, Peyman (Proceedings of IEEE Sensors;, Chapter, 2021)
      Near-infrared spectroscopy (NIRS) is a rapidly developing and promising technology with potential for spectrographic analysis. Understanding NIRS measurements on the implant-tissue interface for hydrogen gas formation as ...

    • Analysis of human gait using hybrid EEG-fNIRS-based BCI system: A review 

      Khan, Haroon; Naseer, Noman; Yazidi, Anis; Eide, Per Kristian; Hassan, Wajahat; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)
      Human gait is a complex activity that requires high coordination between the central nervous system, the limb, and the musculoskeletal system. More research is needed to understand the latter coordination's complexity in ...

    • A pioneer study on human 3-nitropropionic acid intoxication: Contributions from metabolomics 

      Skogvold, Hanne Bendiksen; Yazdani, Mazyar; Mørk Sandås, Elise; Østeby, Anja; Kristensen, Erle; Haarr, Dagfinn; Rootwelt, Helge; Elgstøen, Katja B. Prestø (Peer reviewed; Journal article, 2021)
      The neurotoxin 3-nitropropionic acid (3-NPA) is an inhibitor of succinate dehydrogenase, an enzyme participating both in the citric acid cycle and the mitochondrial respiratory chain. In human intoxications, it produces ...

    • Electrically tunable perfect terahertz absorber using embedded combline graphene layer 

      Maghoul, Amir; Rostami, Ali; Barzinjy, Azeez Abdullah; Mirtaheri, Peyman (Peer reviewed; Journal article, 2021)
      Graphene is a powerful 2-D matter with the capability of extraordinary transparency, and tunable conductivity is employed in emerging optoelectronics devices. In this article, the design of an electrically tunable ...

    • A Self-Powered and Area Efficient SSHI Rectifier for Piezoelectric Harvesters 

      Chamanian, Salar; Ciftci, Berkay; Muhtaroglu, Ali; Külah, Haluk (IEEE Access;, Peer reviewed; Journal article, 2021)
      This article presents an area efficient fully autonomous piezoelectric energy harvesting system to scavenge energy from periodic vibrations. Extraction rectifier utilized in the system is based on synchronized switch ...

    • Evaluation of a novel 3-pipe solution for hydronic heat distribution in passive-house standard apartment buildings 

      Lundblad, Jonathan; Andreassen, Nora; Olsen, Johanna; Chaudhuri, Arnab (SINTEF Proceedings;9, Conference object, 2021)
      The energy efficiency of new buildings in Norway has been steadily improved over the last decades, but with less heating, hydronic heating systems have adversely increased in price. Lessening electric power consumption in ...

    • A low-cost wave/solar powered unmanned surface vehicle 

      Elkolali, Moustafa; Al-Tawil, Ahmed; Much, Lennard; Schrader, Ryan; Masset, Olivier; Sayols, Marina; Jenkins, Andrew; Alonso, Sara; Carella, Alfredo; Alcocer, Alex (OCEANS;Global Oceans 2020: Singapore – U.S. Gulf Coast, Conference object, 2021)
      This paper presents a prototype of a low-cost Unmanned Surface Vehicle (USV) that is operated by wave and solar energy which can be used to minimize the cost of ocean data collection. The current prototype is a compact ...

    • Hydrodynamic parameter optimization for miniature underwater glider wings 

      Elkolali, Moustafa; Splawski, Wilfried; Carella, Alfredo; Alcocer, Alex (OCEANS;Global Oceans 2020: Singapore – U.S. Gulf Coast, Conference object, 2021)
      This paper describes the design and optimization of the shape of the wings of “OASYS” research project underwater glider, by maximizing the lift to drag ratio through using computational fluid dynamics. Different wing ...

    • Allele-specific expression of Parkinson’s disease susceptibility genes in human brain 

      Langmyhr, Margrete; Henriksen, Sandra Pilar; Cappelletti, Chiara; van de Berg, Wilma D. J.; Pihlstrøm, Lasse; Toft, Mathias (Scientific Reports;11, Article number: 504 (2021), Peer reviewed; Journal article, 2021-01-12)
      Genome-wide association studies have identifed genetic variation in genomic loci associated with susceptibility to Parkinson’s disease (PD), the most common neurodegenerative movement disorder worldwide. We used allelic ...

    • Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics 

      Keprate, Arvind; Chatterjee, Supratik (IEEE International Conference on Industrial Engineering and Engineering Management;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Peer reviewed; Journal article, 2021-01-20)
      In the recent years, industries such as aeronautical, railway, and petroleum has transitioned from corrective/preventive maintenance to condition based maintenance (CBM). One of the enablers of CBM is Prognostics which ...