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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • High-resolution imaging in acoustic microscopy using deep learning 

    Banerjee, Pragyan; Milind Akarte, Shivam; Kumar, Prakhar; Shamsuzzaman, Muhammad; Butola, Ankit; Agarwal, Krishna; Prasad, Dilip Kumar; Melandsø, Frank; Habib, Anowarul (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-18)
    Acoustic microscopy is a cutting-edge label-free imaging technology that allows us to see the surface and interior structure of industrial and biological materials. The acoustic image is created by focusing high-frequency acoustic waves on the object and then detecting reflected signals. On the other hand, the quality of the acoustic image's resolution is influenced by the signal-to-noise ratio, the ...
  • In-Cloud Icing - A case study at Fagernesfjellet, Norway using Weather Research and Forecasting model and observations 

    Punde, Pravin Bhausaheb; Birkelund, Yngve; Virk, Muhammad Shakeel; Han, Xingbo (Chapter; Bokkapittel, 2024)
    Atmospheric icing poses significant challenges to infrastructure integrity and transportation safety, especially in mountainous regions such as Fagernesfjellet, Norway. This paper presents a comprehensive case study of in-cloud icing over Fagernesfjellet, leveraging hindcast data obtained through dynamic downscaling with the Weather Research and Forecasting (WRF) model alongside observational data. ...
  • Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data 

    Rusin, Jozef; Lavergne, Thomas; Doulgeris, Anthony Paul; Scott, K. Andrea (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-30)
    Passive-microwave sea ice concentration (SIC) algorithms employ different frequencies and polarisations in their operational implementations. Commonly, these algorithms utilise combinations such as 19/37 GHz, yielding reduced measurement uncertainties but at a coarse spatial resolution. Alternatively, these algorithms can solely use 89 GHz, producing a higher spatial resolution but with increased ...
  • Assessing the potential of Eddy detection in MIZ using SAR and Lagrangian modeling: A test case on Fram Strait 

    Sandalyuk, Nikita V.; Khachatrian, Eduard; Budyansky, Maxim (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-22)
    The analysis of ocean eddies in the marginal ice zone via remote sensing and modeling data is a challenging task. However, it is of crucial importance for various scientific applications and anthropogenic activities in the Arctic. Models often struggle to accurately represent eddies near the MIZ due to the intricate nature of sea ice-ocean interactions, unresolved small-scale processes, and ...
  • Exploring the universe through dusty visions 

    Khawaja, Nozair; Klenner, Fabian; Szalay, Jamey; Kobayashi, Masanori; Briois, Christelle; Mann, Ingrid Brigitte (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-13)
    Dust in space is a universal phenomenon that can be observed within our cosmic neighbourhood. Examples include the dust from the surface of the moon to the further reaches of the outer solar system, such as Saturn’s rings, and even beyond in the galactic environment. Dust in the universe has constantly challenged astronomers’ views of heavenly bodies and phenomena, often obscuring light coming from ...
  • Conceptualization of a vehicle-to-grid assisted nation-wide renewable energy system – A case study with spain 

    Sagaria, Shemin; van der Kam, Mart; Boström, Tobias Kristoffer (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-08)
    This study explores the potential of Vehicle-to-Grid (V2G) technology in utilizing Electric Vehicle (EV) batteries for energy storage, aiming to fulfil Spain’s 2030 and 2050 energy goals. The validated Simulink model uses 3.15 million EVs in 2030 and 22.7 million EVs in 2050 as primary energy storage. The results show that Spain can achieve its 2030 target of 42 % renewable energy by utilizing ...
  • The influence of socio-technical variables on vehicle-to-grid technology 

    Sagaria, Shemin; Kam, Mart van der; Boström, Tobias Kristoffer Good (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-04)
    Vehicle-to-grid technology (V2G) is a novel large scale energy storage option to improve the grid integration of renewable energy sources (RES). Using electric vehicle (EV) batteries to store and provide electricity to the grid, the intermittency of RES can be reduced. However, a successful implementation of this technology depends on various social and technological factors. This study analyses the ...
  • Taxonomy of hybridly polarized Stokes vortex beams 

    Arora, Gauri; Butola, Ankit; Rajput, Ruchi; Agarwal, Rohit; Agarwal, Krishna; Horsch, Ludwig Alexander; Prasad, Dilip Kumar; Senthilkumaran, Paramasivam (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-15)
    Structured beams carrying topological defects, namely phase and Stokes singularities, have gained extensive interest in numerous areas of optics. The non-separable spin and orbital angular momentum states of hybridly polarized Stokes singular beams provide additional freedom for manipulating optical fields. However, the characterization of hybridly polarized Stokes vortex beams remains challenging ...
  • Abrupt increase in Greenland melt enhanced by atmospheric wave changes 

    Graversen, Rune Grand; Heiskanen, Tuomas Ilkka Henrikki; Bintanja, Richard; Goelzer, Heiko (Journal article; Tidsskriftartikkel, 2024-05-25)
    Recent Greenland ice-sheet melt constitutes a considerable contribution to global sea-level rise. Observations indicate an approximate zero mass balance of the ice sheet until the late 1990s, after which a strong increase in melting occurred. This cannot be attributed linearly to gradually-increasing global warming. Instead the abrupt shift has been linked to atmospheric circulation changes, although ...
  • Leveraging tensor kernels to reduce objective function mismatch in deep clustering 

    Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael Christian (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-29)
    Objective Function Mismatch (OFM) occurs when the optimization of one objective has a negative impact on the optimization of another objective. In this work we study OFM in deep clustering, and find that the popular autoencoder-based approach to deep clustering can lead to both reduced clustering performance, and a significant amount of OFM between the reconstruction and clustering objectives. To ...
  • Extent, duration and timing of the sea ice cover in Hornsund, Svalbard in 2014–2023 

    Swirad, Zuzanna M.; Johansson, Anna Malin Kristin; Malnes, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-27)
    The Sentinel-1A/B synthetic aperture radar (SAR) imagery archive between 14 October 2014 and 29 June 2023 was used in combination with a segmentation algorithm to create a series of binary ice/open-water maps of Hornsund fjord, Svalbard, at 50 m resolution for nine seasons (2014/15 to 2022/23). The near-daily (1.57 d mean temporal resolution) maps were used to calculate sea ice coverage for the ...
  • Towards seamless environmental prediction–development of Pan-Eurasian EXperiment (PEEX) modelling platform 

    Mahura, Alexander; Baklanov, Alexander; Makkonen, Risto; Boy, Michael; Petäjä, Tuukka; Lappalainen, Hanna K.; Nuterman, Roman; Kerminen, Veli-Matti; Arnold, Stephen R.; Jochum, Markus; Shvidenko, Anatoly; Esau, Igor; Sofiev, Mikhail; Stohl, Andreas; Aalto, Tuula; Bai, Jianhui; Chen, Chuchu; Cheng, Yafang; Drofa, Oxana; Huang, Mei; Järvi, Leena; Kokkola, Harri; Kouznetsov, Rostislav; Li, Tingting; Malguzzi, Piero; Monks, Sarah; Poulsen, Mads Bruun; Noe, Steffen M.; Palamarchuk, Yuliia; Foreback, Benjamin; Clusius, Petri; Rasmussen, Till Andreas Soya; She, Jun; Sørensen, Jens Havskov; Spracklen, Dominick; Su, Hang; Tonttila, Juha; Wang, Siwen; Wang, Jiandong; Wolf, Tobias; Yu, Yongqiang; Zhang, Qing; Zhang, Wei; Zhang, Wen; Zheng, Xunhua; Li, Siqi; Li, Yong; Zhou, Putian; Kulmala, Markku (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-09)
    The Pan-Eurasian Experiment Modelling Platform (PEEX-MP) is one of the key blocks of the PEEX Research Programme. The PEEX MP has more than 30 models and is directed towards seamless environmental prediction. The main focus area is the Arctic-boreal regions and China. The models used in PEEX-MP cover several main components of the Earth’s system, such as the atmosphere, hydrosphere, pedosphere and ...
  • The basics of optical alignment 

    Ströhl, Florian (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-26)
    Precise optical alignment is critical for high-quality microscopy imaging, especially in custom-built systems. This guide details essential alignment steps, from beam path setup to lens collimation and centering, introduces key tools like pinholes and shearing interferometers, and advocates for a modular construction approach. This article aims to empower microscopy enthusiasts with practical alignment ...

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