• 3D printing in medical application: an educational design perspective 

      Mirtaheri, Peyman; Güler, Evin; Gjøvaag, Terje (Chapter; Peer reviewed, 2017)
      Medical applications for 3D printin g are expanding rapidly and are expected to revolutionize health care. The application of 3D printing in medicine and healthcare can provide many bene fits, including ...
    • Action Recognition in Real Homes using Low Resolution Depth Video Data 

      Casagrande, Flavia Dias; Nedrejord, Oda Olsen; Lee, Wonho; Zouganeli, Evi (Annual IEEE Symposium on Computer-Based Medical Systems;2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object; Journal article; Peer reviewed, 2019-08-05)
      We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting ...
    • Activity Recognition and Prediction in Real Homes 

      Casagrande, Flavia Dias; Zouganeli, Evi (Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings;, Chapter; Peer reviewed, 2019)
      In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, ...
    • 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 ...
    • Analysis of Optical Brain Signals Using Connectivity Graph Networks 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object; Journal article; Peer reviewed, 2020-08-18)
      Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ...
    • 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, Chapter; Conference object; Peer reviewed, 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 ...
    • BeamBending: a teaching aid for 1-D shear force and bending moment diagrams 

      Carella, Alfredo Raúl (Journal of Open Source Education;2 (19), Journal article; Peer reviewed, 2019-09-02)
      BeamBending is both an educational module and a Python package, intended to serve as a teaching aid during a first course in Statics. The aim of this module is to enhance clarity and provide visual hands-on examples while ...
    • 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 ...
    • 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 ...
    • 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, ...
    • 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: ...
    • 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 ...
    • 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 ...
    • 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), Journal article; Conference object; Peer reviewed, 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 ...
    • The concept of Laser Spot Thermography test rig with real-time data processing 

      Roemer, Jakub (The International Journal of Multiphysics;Volume 14 · Number 1 · 2020, Journal article; Peer reviewed, 2020-03-31)
      The paper shows the concept of Laser Spot Thermography test rig with real time data processing. Laser Spot Thermography is a promising method for non-destructive testing applications especially, when fully non-contact procedure ...
    • Conjugate Heat Transfer Model Based on SIMPLE and Coupled Energy and Heat Equations 

      Leyli, Amir Nadem; Andleeb, Zahra; Khawaja, Hassan; Messahel, Ramzi; Kanna, Rajesh; Moatamedi, Mojtaba (The International Journal of Multiphysics;Volume 15, number 1, Journal article; Peer reviewed, 2021-01-28)
      In this study, a numerical weak coupling strategy for the modeling of a conjugate heat transfer phenomenon is considered. Where the incompressible Navier-Stokes equations are solved using the Semi-Implicit Method for ...