• Biomarkører ved multippel sklerose (MS) 

      Juvodden, Fredrikke; Einås, Kristine (Bachelor thesis, 2023)
      Bachelorprosjektet vårt er delt opp i et litteraturstudie og en praktisk del. I litteraturstudiet undersøkte vi artikler som omhandlet biomarkørene OPN, CXCL13, IL-17, IFNγ, GFAP, CHI3L1 og BAFF. Biomarkørene var målt i ...
    • Blood neurofilament light concentration at admittance: a potential prognostic marker in COVID-19 

      Aamodt, Anne Hege; Høgestøl, Einar August; Popperud, Trine Haug; Holter, Jan Cato; Dyrhol-Riise, Anne Ma; Tonby, Kristian; Stiksrud, Birgitte; Paulsen, Else Quist; Berge, Tone; Barratt-Due, Andreas; Aukrust, Pål; Heggelund, Lars; Blennow, Kaj; Zetterberg, Henrik; Harbo, Hanne Flinstad (Journal of Neurology;, Peer reviewed; Journal article, 2021-03-20)
      Objective To test the hypotheses that blood biomarkers for nervous system injury, serum concentrations of neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAp) can serve as biomarkers for disease ...
    • Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS 

      Khan, Haroon; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)
      Gait and balance are an intricate interplay between the brain, nervous system, sensory organs, and musculoskeletal system. They are greatly influenced by the type of footwear, walking patterns, and surface. This exploratory ...
    • BrainWave Nets: Are Sparse Dynamic Models Susceptible to Brain Manipulation Experimentation? 

      Nascimento, Diego C.; Pinto-Orellana, Marco Antonio; Leite, Joao P.; Edwards, Dylan J.; Louzada, Francisco; Santos, Taiza E. G. (Frontiers in Systems Neuroscience;volume 14, Peer reviewed; Journal article, 2020-11-26)
      Sparse time series models have shown promise in estimating contemporaneous and ongoing brain connectivity. This paper was motivated by a neuroscience experiment using EEG signals as the outcome of our established interventional ...
    • 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 ...
    • Bruk av digitale verktøy i kjemiundervisningen 

      Antonsen, Simen; Sverdvik, Håkon; Gravdahl, Anne; Osmani, Dorentina; Samuelsen, Marius; Sørskår, Åshild Moi; Stenstrøm, Yngve; Stenstrøm, Helge Ørjan (Peer reviewed; Journal article, 2023)
      Mange studieretninger har grunnemner innen matematikk, fysikk, kjemi og statistikk som del av studieprogrammet. Erfaringsmessig er det vanskelig å motivere studenter i disse fagene som for mange kun blir støttefag. Disse ...
    • Bærekraft i profesjonsutdanninger. Gap mellom strategi og programplaner? 

      Berg, Arild; Carella, Alfredo Raúl; Lysebo, Marius; Nielsen, Liv Merete (FormAkademisk - Forskningstidsskriftet for design og designdidaktikk;Vol 14 Nr. 3 (2021): Utdanning for ny praksis II – teknologi, design og bærekraft på tvers. Temanummer, Peer reviewed; Journal article, 2021-11-28)
      Utdanning er en nøkkel til varige endringer i samfunnet. I denne studien bruker vi teori fra bærekraft og didaktikk for å sette søkelys på utdanning av produktdesignere, lærere og ingeniører ved Fakultet for Teknologi, ...
    • Caffeine Increases Strength and Power Performance in Resistance-trained Females During Early Follicular Phase 

      Norum, Martin; Risvang, Linn; Bjørnsen, Thomas; Dimitriou, Lygeri; Rønning, Per Ola; Bjørgen, Morten; Raastad, Truls (Scandinavian Journal of Medicine & Science in Sports;Volume 30, Issue 11, November 2020, Journal article; Peer reviewed, 2020-07-18)
      The effects of 4 mg·kg−1caffeine ingestion on strength and power were investigated for the first time, in resistance-trained females during the early follicular phase utilizing a randomized, double-blind, placebo-controlled, ...
    • Can master students’ experience and learning outcome, be improved? 

      Antonsen, Simen; Jensen, Line Elisabeth; Godager, Linda Helén; Stenstrøm, Yngve (Peer reviewed; Journal article, 2023)
      Most studies on the follow-up and supervision of students, are focused on Ph.D. level, despite that most students complete their education with bachelor’s or master’s degrees. In a previous study on students working with ...
    • 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: ...
    • CFD Simulations of Flow Jetting Impact and High Erosion Region in a Production Choke and its Downstream Spool 

      Keprate, Arvind; Bagalkot, Nikhil; perinpasivam, Agastian (Linköping Electronic Conference Proceedings;Proceedings of the 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Chapter; Peer reviewed; Conference object; Journal article, 2022)
      Erosion wear, a rather well-known problem in the petroleum and transport industry. Over the years there have been many different models suggested to estimate the erosion. Each model uses unique equations and is suited for ...
    • Classification of Individual Finger Movements from Right Hand Using fNIRS Signal 

      Khan, Haroon; Noori, Farzan Majeed; Yazidi, Anis; Uddin, Md Zia; Khan, M.N Afzal; Mirtaheri, Peyman (Sensors;Volume 21 / Issue 23, Peer reviewed; Journal article, 2021-11-28)
      Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ...
    • Cognitive Robotics - Towards the Development of Next-Generation Robotics and Intelligent Systems 

      Zouganeli, Evi; Lentzas, Athanasios (Chapter; Conference object, 2023)
      In this paper we make the case for cognitive robotics, that we consider a prerequisite for next generation systems. We give a brief account of current cognition-enabled systems, and viable cognitive architectures, discuss ...
    • Cognitive Robotics - Towards the Development of Next-Generation Robotics and Intelligent Systems. 

      Zouganeli, Evi; Lentzas, Athanasios (Communications in Computer and Information Science;Volume 1650: Nordic Artificial Intelligence Research and Development, 4th Symposium of the Norwegian AI Society, Peer reviewed; Journal article, 2023-02-02)
      In this paper we make the case for cognitive robotics, that we consider a prerequisite for next generation systems. We give a brief account of current cognition-enabled systems, and viable cognitive architectures, discuss ...
    • Combining Computational Fluid Dynamics and Gradient Boosting Regressor for Predicting Force Distribution on Horizontal Axis Wind Turbine 

      Bagalkot, Nikhil; Keprate, Arvind; Orderløkken, Rune (Vibration;Volume 4 / Issue 1, Peer reviewed; Journal article, 2021-03-14)
      The blades of the horizontal axis wind turbine (HAWT) are generally subjected to significant forces resulting from the flow field around the blade. These forces are the main contributor of the flow-induced vibrations that ...
    • Community based digital teaching 

      Antonsen, Simen; Jetlund, Ola (Peer reviewed; Journal article, 2023)
      A common approach to digital teaching is to mimic the classical lecturing in a physical classroom. There are limits to how successful this approach might be in helping students to reach the learning outcomes. However, ...
    • Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines 

      Keprate, Arvind; Sheikhi, Saeid; Siddiqui, Muhammad Salman (IEEE International Conference on Industrial Engineering and Engineering Management;, Chapter; Peer reviewed; Conference object, 2023)
      Offshore wind turbines (OWTs) play a crucial role in renewable energy generation, but their remote and harsh environments make them prone to various anomalies that can significantly affect their performance and reliability. ...
    • Comparing generic and vectorial nonlinear manoeuvring models and parameter estimation using optimal truncated least square support vector machine 

      Xu, Haitong; Hassani, Vahid; Soares, C. Guedes (Applied Ocean Research;Volume 97, April 2020, Journal article; Peer reviewed, 2020-01-18)
      An optimal truncated least square support vector machine (LS-SVM) is proposed for the parameter estimation of nonlinear manoeuvring models based on captive manoeuvring tests. Two classical nonlinear manoeuvring models, ...
    • Comparison of KVP and RSI for Controlling KUKA Robots Over ROS 

      Arbo, Mathias Hauan; Eriksen, Ivar; Sanfilippo, Filippo; Gravdahl, Jan Tommy (IFAC-PapersOnLine;Volume 53, Issue 2, Journal article; Peer reviewed, 2021-07-14)
      In this work, an open-source ROS interface based on KUKAVARPROXY for control of KUKA robots is compared to the commercial closed-source Robot Sensor Interface available from KUKA. This comparison looks at the difference ...
    • Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (International Joint Conference on Neural Networks (IJCNN); 2019 International Joint Conference on Neural Networks (IJCNN), Conference object, 2019-09-30)
      We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...