Nye registreringer

  • Modal stability analysis of toroidal pipe flow approaching zero curvature 

    Lupi, V.; Canton, J.; Rinaldi, E.; Örlü, Ramis; Schlatter, P. (Peer reviewed; Journal article, 2024)
    The present study investigates the modal stability of the steady incompressible flow inside a toroidal pipe for values of the curvature δ (ratio between pipe and torus radii) approaching zero, i.e. the limit of a straight ...
  • Exposure assessment of plastics, phthalate plasticizers and their transformation products in diverse bio-based fertilizers 

    Estoppey, Nicolas; Varela, Gabriela Castro; Slinde, Gøril Aasen; Hansen, Caroline Berge; Løseth, Mari Engvig; Krahn, Katinka Muri; Demmer, Viona; Svenni, Jørgen; Tran, Teresa-Van-Anh Thi; Asimakopoulos, Alexandros; Arp, Hans Peter Heinrich; Cornelissen, Gerard (Peer reviewed; Journal article, 2024)
    Bio-based fertilizers (BBFs) produced from organic waste have the potential to reduce societal dependence on limited and energy-intensive mineral fertilizers. BBFs, thereby, contribute to a circular economy for ...
  • 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 ...
  • Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface 

    Khan, Haroon; Khadka, Rabindra; Sultan, Malik Shahid; Yazidi, Anis; Ombao, Hernando; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)
    In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ...
  • 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 ...
  • RoBUTCHER: A novel robotic meat factory cell platform 

    Mason, Alex; Esper, Ian; Korostynska, Olga; Cordova-Lopez, Luis Eduardo; Romanov, Dmytro; Pinceková, Michaela; Bjørnstad, Per Håkon; Alvseike, Ole; Popov, Anton; Smolkin, Oleh; Manko, Maksym; Christensen, Lars Bager; Takacs, Kristof; Haidegger, Tamás (Journal article; Peer reviewed, 2024)
    Automation is critically important for sustainability in meat production, where heavy reliance on human labour is a growing challenge. In this work, a novel robotic Meat Factory Cell (MFC) platform presents the opportunity ...
  • Pleiotropy with sex-specific traits reveals genetic aspects of sex differences in Parkinson's disease 

    Nordengen, Kaja; Cappelletti, Chiara; Bahrami, Shahram; Frei, Oleksandr; Pihlstrøm, Lasse; Henriksen, Sandra Pilar; Geut, Hanneke; Rozemuller, Annemieke J M; Berg, Wilma D J van de; Andreassen, Ole; Toft, Mathias (Peer reviewed; Journal article, 2023)
    Parkinson’s disease is an age-related neurodegenerative disorder with a higher incidence in males than females. The causes for this sex difference are unknown. Genome-wide association studies (GWAS) have identified 90 ...
  • Effects of compliant and structural parts in evolved modular robots 

    Norstein, Emma Stensby; Veenstra, Frank; Ellefsen, Kai Olav; Nygaard, Tønnes; Glette, Kyrre (Chapter; Peer reviewed; Conference object, 2023)
    A striking difference between animals and traditional robots is that the latter usually have rigid and non-flexible bodies. Animals, on the other hand, exhibit highly adapted traits, such as elastic tendons. The tendons ...
  • Evolution of linkages for prototyping of linkage based robots 

    Norstein, Emma Stensby; Ellefsen, Kai Olav; Veenstra, Frank; Nygaard, Tønnes; Glette, Kyrre (IEEE Symposium Series on Computational Intelligence (SSCI);, Chapter; Peer reviewed; Conference object, 2023)
    Prototyping robotic systems is a time consuming process. Computer aided design, however, might speed up the process significantly. Quality-diversity evolutionary approaches optimise for novelty as well as performance, and ...
  • Direct Numerical Simulations of Turbulent Flow in Helical Pipes 

    Lupi, V.; Örlü, Ramis; Schlatter, P. (ERCOFTAC Series;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
    Direct numerical simulations of the fully developed turbulent flow through helical pipes are performed. The numerical procedure is described, and a validation of the volume force driving the flow is presented. A comparison ...
  • Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips 

    Frohnapfel, B.; von Deyn, L. H.; Yang, J.; Neuhauser, J.; Stroh, A.; Örlü, Ramis; Gatti, D. (Peer reviewed; Journal article, 2024)
    The Reynolds number dependent flow resistance of heterogeneous rough surfaces is largely unknown at present. The present work provides novel reference data for spanwise-alternating sandpaper strips as one idealised case ...
  • Predicting disease severity in multiple sclerosis using multimodal data and machine learning 

    Andorra, Magi; Freire, Ana; Zubizarreta, Irati; de Rosbo, Nicole Kerlero; Bos, Steffan Daniel; Rinas, Melanie; Høgestøl, Einar August; de Rodez Benavent, Sigrid Aune; Berge, Tone; Brune, Synne; Ivaldi, Federico; Cellerino, Maria; Pardini, Matteo; Vila, Gemma; Pulido-Valdeolivas, Irene; Martinez-Lapiscina, Elena H.; Llufriu, Sara; Saiz, Albert; Blanco, Yolanda; Martinez-Heras, Eloy; Solana, Elisabeth; Bäcker-Koduah, Priscilla; Behrens, Janina; Kuchling, Joseph; Asseyer, Susanna; Scheel, Michael; Chien, Claudia; Zimmermann, Hanna; Motamedi, Seyedamirhosein; Kauer-Bonin, Josef; Brandt, Alex; Saez-Rodriguez, Julio; Alexopoulos, Leonidas G.; Paul, Friedemann; Harbo, Hanne-Cathrin Flinstad; Shams, Hengameh; Oksenberg, Jorge; Uccelli, Antonio; Baeza-Yates, Ricardo; Villoslada, Pablo (Peer reviewed; Journal article, 2023)
    Background Multiple sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging and multimodal biomarkers to define the risk of disease activity. Methods We have analysed a prospective ...
  • Limitations and Opportunities in PHM for Offshore Wind Farms: A Socio-Technical-Ecological System Perspective 

    Keprate, Arvind (Chapter, 2023)
    The burgeoning importance of offshore wind farms (OWFs) in the transition to sustainable energy systems underscores the need for effective Prognostics and Health Management (PHM) strategies. While the current PHM framework ...
  • 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. ...
  • Exploring value dilemmas of brain monitoring technology through speculative design scenarios 

    Risnes, Martha; Thorstensen, Erik; Mirtaheri, Peyman; Berg, Arild Skarsfjord (Peer reviewed; Journal article, 2024)
    In the field of brain monitoring, the advancement of more user-friendly wearable and non-invasive devices is introducing new opportunities for application outside the lab and clinical use. Despite the growing importance ...
  • From Theory to Practice Leveraging Project Based Learning to Cultivate Student Engagement in Mechanical Engineering Education 

    Keprate, Arvind; Woodford, Sam; Borrajo, Rafael (IEEE International Conference on Industrial Engineering and Engineering Management;, Chapter; Peer reviewed; Conference object, 2024)
    This paper explores the transformative impact of Education 4.0 on learning experiences in the context of mechanical engineering education. Education 4.0 is an evolving paradigm that is student-centered, scalable, ...
  • Measurements in a Turbulent Channel Flow by Means of an LDV Profile Sensor 

    Pasch, S.; Leister, R.; Gatti, D.; Örlü, Ramis; Frohnapfel, B.; Kriegseis, J. (Peer reviewed; Journal article, 2023)
    Spatially and temporally resolved velocity measurements in wall-bounded turbulent flows remain a challenge. Contrary to classical laser Doppler velocimetry (LDV) measurements, the laser Doppler velocity profile sensor ...
  • In-Situ Analysis of Backflow Events and Their Relation to Separation in Wings Through Well-Resolved LES 

    Mallor, F.; Liu, J.; Peplinski, A.; Vinuesa, R.; Örlü, Ramis; Weinkauf, Tino; Schlatter, P. (ERCOFTAC (European Research Community on Flow, Turbulence and Combustion);, Chapter; Peer reviewed; Conference object; Journal article, 2023)
    Wall-bounded turbulent flows as those occurring in transportation (e.g. aviation) or industrial applications (e.g turbomachinery), are usually subjected to pressure gradients (PGs). The presence of such PGs affects greatly ...
  • Household Energy Consumption Prediction: A Deep Neuroevolution Approach 

    Soudaei, Alexander; Zhang, Jianhua; Elmi, Mohamed Ahmed; Tsechoev, Mikael; Khan, Zishan; Osman, Ahmed Abbas (Chapter, 2023)
    Accurate energy consumption prediction can provide insights to make better informed decisions on energy purchase and generation. It also can prevent overloading and make it possible to store energy more efficiently. In ...
  • siRNA screening reveals that SNAP29 contributes to exosome release 

    Hessvik, Nina Pettersen; Sagini, Krizia; Romero, Silvana Angelica Troncoso; Ramirez, Manuel; Rodriguez, Marta; Tutturen, Astrid Elisabeth Voorham; Kvalvaag, Audun Sverre Myrset; Stang, Espen; Brech, Andreas; Sandvig, Kirsten; Llorente, Alicia (Peer reviewed; Journal article, 2023)
    Cells release extracellular vesicles (EVs) of different sizes. Small EVs (< 200 nm) can originate from the fusion of multive- sicular bodies with the plasma membrane, i.e. exosomes, and from budding of the plasma membrane, ...

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