SINTEF Digital: Nye registreringer

Viser treff 541-560 av 2523

    • Toward Sustainable IoT Applications: Unique Challenges for Programming the Batteryless Edge 

      Goknil, Arda; Yildirim, Kasim Sinan (Peer reviewed; Journal article, 2022)
      The advent of ultra-low-power computer systems has enabled intermittently powered, battery-free devices to operate using harvested ambient energy. We present a roadmap from today’s continuously powered Internet of Things ...

    • Path planning for UAV harvesting information from dynamical wireless sensor nodes at sea 

      Ho, Tu Dac; Grøtli, Esten Ingar; Johansen, Tor Arne (Chapter, 2022)
      A system of several wireless sensor nodes and one unmanned aerial vehicle (UAV) is considered in this research. The nodes are only floating and drifting with the sea stream. The UAV will be operating as a data mule to ...

    • Cardiac Alarmins as Residual Risk Markers of Atherosclerosis under Hypolipidemic Therapy 

      Suica, Viorel I.; Uyy, Elena; Ivan, Luminita; Boteanu, Raluca M.; Cerveanu-Hogas, Aurel; Hansen, Rune; Antohe, Felicia (Peer reviewed; Journal article, 2022)
      Increased levels of low-density lipoproteins are the main risk factor in the initiation and progression of atherosclerosis. Although statin treatment can effectively lower these levels, there is still a residual risk of ...

    • The Evidence of Impact and Ethical Considerations of Multimodal Learning Analytics: A Systematic Literature Review 

      Alwahaby, Haifa; Cukurova, Mutlu; Papamitsiou, Zacharoula; Giannakos, Michail (Chapter, 2022)
      There is a growing interest in the research and use of multimodal data in learning analytics. This paper presents a systematic literature review of multimodal learning analytics (MMLA) research to assess (i) the available ...

    • Måleegenskaper ved den norske versjonen av Symptom Checklist-90-Revidert (SCL-90-R) 

      Mundal, Ingunn Pernille; Ytreland, Kristin; Kaasbøll, Jannike (Peer reviewed; Journal article, 2022)
      Symptom Checklist-90 Revised (SCL-90-R) er et bredspektret screeningverktøy for psykiske plager hos personer over 13 år. SCL-90 ble utviklet av Derogatis og kolleger i 1973 og revidert i 1976 til SCL-90-R. Instrumentet ble ...

    • Evaluering av satsingen på Kystskogbruket 

      Sand, Roald; Haugset, Anne Sigrid; Løe, Ida Camilla; Naper, Linn Renée (SINTEF Rapport;2021:00766, Research report, 2021)
      Formålet med evalueringen har vært å evaluere og synliggjøre Kystskogbrukets relevans, drøfte hva man har oppnådd av resultater for skognæringa i kystfylkene og peke på hva som bør vektlegges i en framtidig satsing og ...

    • Årsrapport for 2020 - SINTEF Digital - Senter for Jernbanesertifisering 

      Bains, Robert (SINTEF Rapport;2021:00308, Research report, 2021)
      Denne rapporten beskriver SINTEF Digital sin virksomhet som teknisk kontrollorgan for 2020. SINTEF, ved Senter for jernbanesertifisering – SJS, ble 16. desember 2003 teknisk kontrollorgan (Notified Body - NoBo) under EU ...

    • ETAP: Energy-Aware Timing Analysis of Intermittent Programs 

      Erata, Ferhat; Yildiz, Eren; Goknil, Arda; Yildirim, Kasim Sinan; Piskac, Ruzica; Szefer, Jakub; Sezgin, Gökçin (Peer reviewed; Journal article, 2022)
      Energy harvesting battery-free embedded devices rely only on ambient energy harvesting that enables stand-alone and sustainable IoT applications. These devices execute programs when the harvested ambient energy in their ...

    • Developing an implementation fidelity checklist for a vocational rehabilitation intervention 

      Powers, Katie; Clarke, Sara; Phillips, Julie; Holmes, Jain A.; Cripps, Rachel; Craven, Kristelle; Farrin, Amanda; Nair, Roshan das; Radford, Kathryn A. (Peer reviewed; Journal article, 2022)
      Background: Despite growing numbers of studies reporting the efficacy of complex interventions and their implementation, many studies fail to report information on implementation fidelity or describe how fidelity measures ...

    • Generalization and stabilization of exact scattering solutions for spherical symmetric scatterers 

      Venås, Jon Vegard; Jenserud, Trond (Peer reviewed; Journal article, 2022)
      In a previous work the authors described a fast high-fidelity computer model for acoustic scattering from multi-layered elastic spheres. This work is now extended with a scaling strategy significantly mitigating the problem ...

    • Emotional intelligence and school climate in primary school children in Spain, Norway, and Poland 

      Luque González, Rocio; Romera, Eva; Gómez-Ortiz, Ogla; Wiza, Agata; Laudańska-Krzemińska, Ida; Antypas, Konstantinos; Muller, Sébastien (Journal article, 2022)
      Introduction: Emotional intelligence is defined as the ability to effectively manage emotions. It has a clear impact on the well-being of schoolchildren. A large number of studies have shown how emotional intelligence ...

    • Driving ability and predictors for driving performance in Multiple Sclerosis: A systematic review 

      Seddiq Zai, Susan; Heesen, Christoph; Buhmann, Carsten; das Nair, Roshan; Pöttgen, Jana (Peer reviewed; Journal article, 2022)
      Objective: To provide an overview of the evidence on driving ability in persons with multiple sclerosis (PwMS), specifically to (i) study the impact of MS impairment on driving ability and (ii) evaluate predictors for ...

    • The InVizAR Project: Augmented Reality Visualization for Non-Destructive Testing Data from Jacket Platforms 

      Boletsis, Costas; Lie, Arne; Prillard, Ophelia; Husby, Karsten; Li, Jiaxin (Journal article, 2023)
      There is an increasing need for underwater condition control for offshore steel platforms and wind and fish farming facilities. Localized diagnostic techniques, such as magnetic field non-destructive testing (NDT) methodologies ...

    • Determination of insulin secretion from stem cell-derived islet organoids with liquid chromatography-tandem mass spectrometry 

      Olsen, Christine; Wang, Chencheng; Abadpour, Shadab; Lundanes, Elsa; Hansen, Audun Skau; Skottvoll, Frøydis Sved; Scholz, Hanne; Wilson, Steven Ray Haakon (Peer reviewed; Journal article, 2022)
      Organoids are laboratory-grown 3D organ models, mimicking human organs for e.g. drug development and personalized therapy. Islet organoids (typically 100–200 µm), which can be grown from the patient́s own cells, are emerging ...

    • A posteriori error estimates for hierarchical mixed-dimensional elliptic equations 

      Varela, Jhabriel; Ahmed, Elyes; Keilegavlen, Eirik; Nordbotten, Jan Martin; Radu, Adrian Florin (Peer reviewed; Journal article, 2022)
      Mixed-dimensional elliptic equations exhibiting a hierarchical structure are commonly used to model problems with high aspect ratio inclusions, such as flow in fractured porous media. We derive general abstract estimates ...

    • Pseudo-Hamiltonian neural networks with state-dependent external forces 

      Stasik, Alexander Johannes; Sterud, Camilla; Bøhn, Eivind Eigil; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2023)
      Hybrid machine learning based on Hamiltonian formulations has recently been successfully demonstrated for simple mechanical systems, both energy conserving and not energy conserving. We introduce a pseudo-Hamiltonian ...

    • Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning 

      Bordvik, David Andreas; Hou, Jie; Noori, Farzan Majeed; Uddin, Md Zia; Tørresen, Jim (Chapter, 2022)
      Videos and images are commonly used in home monitoring systems. However, detecting emergencies in-home while preserving privacy is a challenging task concerning Human Activity Recognition (HAR). In recent years, HAR combined ...

    • Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions 

      Survarachakan, Shanmugapriya; Prasad, Pravda Jith Ray; Naseem, Rabia; Perez de Frutos, Javier; Kumar, Rahul Prasanna; Langø, Thomas; Alaya Cheikh, Faouzi; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2022)
      Deep learning-based methods, in particular, convolutional neural networks and fully convolutional networks are now widely used in the medical image analysis domain. The scope of this review focuses on the analysis using ...

    • Budgeting in public hospital trusts: Surplus, optimism, and accuracy 

      Lindaas, Nils Arne; Anthun, Kjartan Sarheim; Magnussen, Jon (Peer reviewed; Journal article, 2023)
      Hospitals in Norway are organized as trusts, required to follow the same accounting principles as the private sector, and responsible for funding their own investments. Thus, being able to run with a surplus has been an ...

    • Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology 

      Hou, Jie; Ness, Siri Schøne; Tschudi, Jon; O'Farrell, Marion; Veddegjerde, Rune; Martinsen, Ørjan Grøttem; Tønnessen, Tor Inge; Strand-Amundsen, Runar James (Peer reviewed; Journal article, 2022)
      A porcine model was used to investigate the feasibility of using VIS-NIR spectroscopy to differentiate between degrees of ischemia–reperfusion injury in the small intestine. Ten pigs were used in this study and four segments ...