Nye registreringer

  • Digital Psychosocial Follow-up for Childhood Critical Illness Survivors: A Qualitative Interview Study on Health Professionals' Perspectives 

    Hagen, Marte Hoff; Hartvigsen, Gunnar; Jaccheri, Maria Letizia; Papavlasopoulou, Sofia (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-18)
    Background: Digital solutions have been reported to provide positive psychological and social outcomes to childhood critical illness survivors, a group with an increased risk for long-term adverse psychosocial effects. Objective: To explore health professionals’ perspectives on the potential of digital psychosocial follow-up for childhood critical illness survivors.<p> <p>Methods: Using a ...
  • Identification of extracellular vesicles from their Raman spectra via self-supervised learning 

    Jensen, Mathias Novik; Mazagao Guerreiro, Eduarda; Enciso-Martinez, Agustin; Kruglik, Sergei G.; Otto, Cees; Snir, Omri; Ricaud, Benjamin; Hellesø, Olav Gaute (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-21)
    Extracellular vesicles (EVs) released from cells attract interest for their possible role in health and diseases. The detection and characterization of EVs is challenging due to the lack of specialized methodologies. Raman spectroscopy, however, has been suggested as a novel approach for biochemical analysis of EVs. To extract information from the spectra, a novel deep learning architecture is ...
  • Knowledge and attitudes regarding pressure injuries among assistant nurses in a clinical context 

    Bjurbo, Charlotte; Wetzer, Elisabeth; Thunborg, David; Zhang, Li; Hultin, Lisa (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-25)
    This study aimed to evaluate assistant nurses' knowledge of and attitudes towards pressure injuries in a clinical setting. It employed a cross-sectional design, using two validated surveys: PUKAT 2.0 and APUP, alongside open-ended questions. A convenience sample of 88 assistant nurses from five wards across two departments at a 600-bed university hospital in Sweden participated. Participants answered ...
  • Concatenated Modified LeNet Approach for Classifying Pneumonia Images 

    Jaganathan, Dhayanithi; Balsubramaniam, Sathiyabhama; Sureshkumar, Vidhushavarshini; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-21)
    Pneumonia remains a critical health concern worldwide, necessitating efficient diagnostic tools to enhance patient care. This research proposes a concatenated modified LeNet classifier to classify pneumonia images accurately. The model leverages deep learning techniques to improve the diagnosis of Pneumonia, leading to more effective and timely treatment. Our modified LeNet architecture incorporates ...
  • Understanding Inner Solar System Dust Environment Through In-Situ Measurements 

    Kočiščák, Samuel (Doctoral thesis; Doktorgradsavhandling, 2024-10-04)
    It is apparent from remote observations that the density of interplanetary dust is the highest in the near-solar region. Yet, there were little in-situ data available from measurements from within 1 AU before Parker Solar Probe (PSP) and Solar Orbiter (SolO) missions. They both venture close to the Sun on elliptical orbits, and they are equipped with electrical antennas capable of dust detection, ...
  • A state-of-the-art review of AI decision transparency for autonomous shipping 

    Madsen, Andreas Nygard; Kim, Tae Eun (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-03)
    The introduction of maritime autonomous surface ships (MASSs) has prompted a significant shift in the role of navigators from traditional navigation to supervising artificial intelligence (AI) collision avoidance systems or managing operations from remote operation centers (ROCs). This may be problematic because the integration of AI technologies into collision avoidance systems may jeopardize safety ...
  • High space–time bandwidth product imaging in low coherence quantitative phase microscopy 

    Ahmad, Azeem; Goclowski, Pawel Piotr; Dubey, Vishesh Kumar; Trusiak, Maciej; Ahluwalia, Balpreet Singh (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-22)
    Current low coherence quantitative phase microscopy (LC-QPM) systems suffer from either reduced field of view (FoV) or reduced temporal resolution due to the short temporal coherence (TC) length of the light source. Here, we propose a hybrid, experimental and numerical approach to address this core problem associated with LC-QPM. We demonstrate high spatial resolution and high phase sensitivity in ...
  • Diagnostics analysis of partial discharge events of the power cables at various voltage levels using ramping behavior analysis method 

    Mishra, Sambeet; Singh, Praveen Prakash; Kiitam, Ivar; Shafiq, Muhammad; Palu, Ivo; Bordin, Chiara (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-16)
    Partial discharge events can occur in high-voltage cables. It can be caused by defects in the cable insulation, contamination, or a combination of both. Partial discharge in cables can lead to insulation failure and cable failure. This investigation aims to identify the trends and patterns in the internal partial discharge (PD) occurrences in the power cables when exposed to different voltage ...
  • Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model 

    Durán Moro, Marina; Sperrevik, Ann Kristin; Lavergne, Thomas; Bertino, Laurent; Gusdal, Yvonne; Iversen, Silje Christine; Rusin, Jozef (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-08)
    Operational forecasting systems routinely assimilate daily means of sea ice concentration (SIC) from microwave radiometers in order to improve the accuracy of the forecasts. However, the temporal and spatial averaging of the individual satellite swaths into daily means of SIC entails two main drawbacks: (i) the spatial resolution of the original product is blurred (especially critical in periods ...
  • Analyzing the MHD Bioconvective Eyring–Powell Fluid Flow over an Upright Cone/Plate Surface in a Porous Medium with Activation Energy and Viscous Dissipation 

    Peter, Francis; Sambath, Paulsamy; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-04)
    In the field of heat and mass transfer applications, non-Newtonian fluids are potentially considered to play a very important role. This study examines the magnetohydrodynamic (MHD) bioconvective Eyring–Powell fluid flow on a permeable cone and plate, considering the viscous dissipation (0.3 ≤ E<sub>c</sub> ≤ 0.7), the uniform heat source/sink (−0.1 ≤ Q<sub>0</sub> ≤ 0.1), and the activation energy ...
  • Theoretical Photoelectron Spectroscopy of Quadruple-Bonded Dimolybdenum(II,II) and Ditungsten(II,II) Paddlewheel Complexes: Performance of Common Density Functional Theory Methods 

    Ghosh, Abhik; Conradie, Jeanet (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-03)
    We have revisited the gas-phase photoelectron spectra of quadruplebonded dimolybdenum(II,II) and ditungsten(II,II) paddlewheel complexes with modern density functional theory methods and obtained valuable calibration of four well-known exchange−correlation functionals, namely, BP86, OLYP, B3LYP*, and B3LYP. All four functionals were found to perform comparably, with discrepancies between calculated ...
  • Inverse Photoemission Spectroscopy of Coinage Metal Corroles: Comparison with Solution-Phase Electrochemistry 

    Giovanelli, Luca; Ksari, Younal; Mrezguia, Hela; Salomon, Eric; Minissale, Marco; Alemayehu, Abraham; Ghosh, Abhik (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-19)
    A combined direct and inverse photoemission study of coinage metal corroles suggests that the latter technique, in favorable cases, can provide some additional information relative to electrochemical measurements. Thus, whereas inverse photoemission spectroscopy (IPES) provides relative electron affinities for electron addition to different unoccupied orbitals, electrochemical reduction potentials ...
  • Sea ice transport and replenishment across and within the Canadian Arctic Archipelago, 2016-2022 

    Howell, Stephen E. L.; Babb, David G.; Landy, Jack Christopher; Glissenaar, Isolde A.; McNeil, Kaitlin; Montpetit, Benoit; Brady, Mike (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-07)
    The Canadian Arctic Archipelago (CAA) serves as both a source and a sink for sea ice from the Arctic Ocean, while also exporting sea ice into Baffin Bay. We use observations from Sentinel-1, RADARSAT-2, the RADARSAT Constellation Mission (RCM), and CryoSat-2, together with the Canadian Ice Service ice charts, to quantify sea ice transport and replenishment across and within the CAA from 2016 to ...
  • Incidental Data: A Survey towards Awareness on Privacy-Compromising Data Incidentally Shared on Social Media 

    Kutschera, Stefan; Slany, Wolfgang; Ratschiller, Patrick; Gursch, Sarina; Deininger, Patrick; Dagenborg, Håvard Johansen (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-23)
    Sharing information with the public is becoming easier than ever before through the usage of the numerous social media platforms readily available today. Once posted online and released to the public, information is almost impossible to withdraw or delete. More alarmingly, postings may carry sensitive information far beyond what was intended to be released, so-called incidental data, which raises ...
  • Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis 

    Jaganathan, Dhayanithi; Balasubramaniam, Sathiyabhama; Sureshkumar, Vidhushavarshini; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-14)
    Breast cancer remains a significant global public health concern, emphasizing the critical role of accurate histopathological analysis in diagnosis and treatment planning. In recent years, the advent of deep learning techniques has showcased notable potential in elevating the precision and efficiency of histopathological data analysis. The proposed work introduces a novel approach that harnesses ...
  • An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction 

    Revathi, T.K.; Balasubramaniam, Sathiyabhama; Sureshkumar, Vidhushavarshini; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel, 2024-01-23)
    Cardiovascular diseases, prevalent as leading health concerns, demand early diagnosis for effective risk prevention. Despite numerous diagnostic models, challenges persist in network configuration and performance degradation, impacting model accuracy. In response, this paper introduces the Optimally Configured and Improved Long Short-Term Memory (OCI-LSTM) model as a robust solution. Leveraging the ...
  • S-polarized light-sheets improve resolution and light-efficiency in oblique plane microscopy 

    Sommernes, Jon-Richard; Millett-Sikking, Alfred; Ströhl, Florian (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-12)
    Oblique plane microscopy (OPM) offers 3D optically sectioned imaging with high spatial- and temporal-resolution while enabling conventional sample mounting. The technique uses a concatenation of three microscopes, two for remote focusing and a tilted tertiary microscope, often including an immersion objective, to image an oblique sample plane. This design induces Fresnel reflections and a reduced ...
  • Managing the Transition Towards Zero-Emission Aviation: A Grounded Theory Approach to Change Management 

    Nelson, Stener Berg (Master thesis; Mastergradsoppgave, 2023-08-31)
    The planet is facing the prospect of irreversible climate change, and aviation is expected to contribute to a future zero-emission society. The Norwegian government, technical developers and aviation industry deem Norway as a suitable arena for developing, testing, and implementing zero-emission aviation technology. The transition towards zero-emission aviation is comparable in magnitude to the shift ...
  • BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping 

    Zheng, Kaizhong; Yu, Shujian; Chen, Liangjun; Dang, Lujuan; Chen, Badong (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-01)
    Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms and divergent responses to treatment. This clinical heterogeneity has hindered the progress of precision diagnosis and treatment effectiveness in ...
  • Weichselian–Holocene glacial history of the Sjuøyane archipelago, northern Svalbard 

    Schomacker, Anders; Alexanderson, Helena; Farnsworth, Wesley Randall; Furze, Mark F.A.; Kjellman, Sofia Elisabeth; Kirchner, Nina; Erstorp, Elias Strandell; Noormets, Riko; Jomelli, Vincent; Ingólfsson, Ólafur (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-05)
    The Sjuøyane archipelago is the northernmost land area of Svalbard; thus, it provides a window to study the terrestrial glacial history and dynamics of the Svalbard–Barents Sea Ice Sheet and complement marine geological studies in the region. To reconstruct the glacial history of Sjuøyane, we describe coastal sedimentary sections in Quaternary sediments and constrain their chronology by radiocarbon ...

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