Blar i TKD - Institutt for maskin, elektronikk og kjemi på tittel

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    • 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 ...

    • Acoustic metamaterials with controllable bandgap gates based on magnetorheological elastomers 

      Soleiman Fallah, Arash; Bereznykov, Oleksii; Boiger, Gernot; Sareh, Pooya; Gorshkov, V N (International Journal of Mechanical Sciences;Volume 238, 15 January 2023, 107829, Peer reviewed; Journal article, 2022)
      Acoustic metamaterials allow for creating selective pass- and stop-bands on the frequency spectrum. We demonstrate the possibility of designing acoustic metamaterials as core-shell 2D-phononic media with an extremely simple ...

    • 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, 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 and Simulation of the Optical Properties of a Quantum Dot on a Graphene Nanoribbon System 

      Sahar, Armaghani; Ali, Rostami; Mirtaheri, Peyman (Photonics;Volume 9 / Issue 4, Peer reviewed; Journal article, 2022)
      In this work, we theoretically study the optical properties of a graphene nanoribbon with a quantum dot (QD) on it. The system consists of a graphene nanoribbon with dimensions of 400 × 3100 (nm2) and a quantum dot with a ...

    • 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 ...

    • 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, 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 ...

    • ANERIS UVAS Underwater Video Acquisition System 

      Salvemini, Giorgio; Kaba, Christopher; Reimers, Henrik Enger; Havnen, Benjamin Gabriel (Bachelor thesis, 2023)
      This report presents the process of building a low-cost, lightweight underwater observa- tory. This includes an underwater camera, hydrophone, and sensor station connected by cable to a central hub stationed on land which ...

    • Artificial cognitive functions towards AI-enabled collaborative robots 

      Zouganeli, Evi; Lentzas, Athanasios (Chapter; Conference object, 2023)
      In this paper we discuss work in progress and our approach to next generation robotics. The use of cognitive architectures can overcome some of the challenges encountered when Artificial In- telligence (AI) algorithms ...

    • 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 ...

    • 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 ...

    • Biodistribution, pharmacokinetics and excretion studies of intravenously injected nanoparticles and extracellular vesicles: Possibilities and challenges 

      Skotland, Tore; Iversen, Tore Geir; Llorente, Alicia; Sandvig, Kirsten (Advanced Drug Delivery Reviews;Volume 186, July 2022, 114326, Peer reviewed; Journal article, 2022-05-21)
      There is a large interest in developing nanoparticles and extracellular vesicles for delivery of therapeutics or imaging agents. Regulatory approval of such products requires knowledge about their biodistribution, metabolism ...

    • Biological Evaluations, NMR Analyses, Molecular Modeling Studies, and Overview of the Synthesis of the Marine Natural Product (−)-Mucosin 

      Nolsøe, Jens Mortansson Jelstrup; Underhaug, Jarl; Sørskår, Åshild Moi; Antonsen, Simen; Malterud, Karl Egil; Gani, Osman; Fan, Qiong; Hjorth, Marit; Sæther, Thomas; Hansen, Trond Vidar; H. Stenstrøm, Yngve (Peer reviewed; Journal article, 2024)
      Natural products obtained from marine organisms continue to be a rich source of novel structural architecture and of importance in drug discovery, medicine, and health. However, the success of such endeavors depends on the ...

    • 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 ...