Recent additions

  • Microwave‐Assisted Synthesis of Heterocycles from Aryldiazoacetates 

    Kristoffersen, Tone; Elumalai, Vijayaragavan; Starck, Eliot; Cousin, Étienne; Hansen, Stephanie Ramona; Hansen, Jørn H (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-17)
    Herein, we describe a rapid microwave-assisted, metal-free synthesis of substituted quinoxalinones and quinoxalines using the carbene-mediated reaction between aryldiazo esters and 1,2-diamines. The reaction can encompass a range of substituents and structural variations to afford quinoxalin-2-ones in 14–80 % yield and corresponding quinoxalines in good to excellent yields upon oxidation (67–96 %). ...
  • Formation of an additional density peak in the bottom side of the sodium layer associated with the passage of multiple mesospheric frontal systems 

    Narayanan, Viswanathan Lakshmi; Nozawa, Satonori; Oyama, Shin-Ichiro; Mann, Ingrid; Shiokawa, Kazuo; Otsuka, Yuichi; Saito, Norihito; Wada, Satoshi; Kawahara, Takuya D.; Takahashi, Toru (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-18)
    We present a detailed investigation of the formation of an additional sodium density peak at altitudes of 79–85 km below the main peak of the sodium layer based on sodium lidar and airglow imager measurements made at Ramfjordmoen near Tromsø, Norway, on the night of 19 December 2014. The airglow imager observations of OH emissions revealed four passing frontal systems that resembled mesospheric ...
  • Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection 

    Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastiano Bruno; Jenssen, Robert; Anfinsen, Stian Normann (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-17)
    Image translation with convolutional neural networks has recently been used as an approach to multimodal change detection. Existing approaches train the networks by exploiting supervised information of the change areas, which, however, is not always available. A main challenge in the unsupervised problem setting is to avoid that change pixels affect the learning of the translation function. We propose ...
  • Behind the scenes of spin-forbidden decay pathways in transition metal complexes 

    Moitra, Torsha; Karak, Pijush; Chakraborty, Sayantani; Ruud, Kenneth; Chakrabarti, Swapan (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-10)
    The interpretation of the ultrafast photophysics of transition metal complexes following photo-absorption is quite involved as the heavy metal center leads to a complicated and entangled singlet–triplet manifold. This opens up multiple pathways for deactivation, often with competitive rates. As a result, intersystem crossing (ISC) and phosphorescence are commonly observed in transition metal complexes. ...
  • Hazards identification and risk assessment for UAV– assisted bridge inspections 

    Aliyari, Mostafa; Ashrafi, Behrooz; Ayele, Yonas Zewdu (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-07)
    Unmanned Aerial Vehicles (UAV) technology has found its way into several civilian applications in the last 20 years, predominantly due to lower cost and tangible scientific improvements. In its application to structural bridge inspection, UAVs provide two main functions. The first, being the most common, detect damage through visual sensors. The 2 D image data can be used to quickly establish a basic ...
  • Motivating for behavioral change through smart nudging. Evaluating digital representations of psychological effects 

    Gjærum, Isak (Master thesis; Mastergradsoppgave, 2021-05-13)
    This thesis aims to study psychological effects and how to represent them digitally within a smart nudging system. A smart nudging system creates personalized digital nudges that are highly relevant to the user's context. How the system presents the nudges and what psychological effects are used is critical to influencing the user towards the nudging goal. The goal of the thesis is to find, implement ...
  • Two-dimensional TIRF-SIM–traction force microscopy (2D TIRF-SIM-TFM) 

    Barbieri, Liliana; Colin-York, Huw; Korobchevskaya, Kseniya; Li, Di; Wolfson, Deanna; Karedla, Narain; Schneider, Falk; Ahluwalia, Balpreet Singh; Seternes, Tore; Dalmo, Roy Ambli; Dustin, Michael L.; Li, Dong; Fritzsche, Marco (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-12)
    Quantifying small, rapidly evolving forces generated by cells is a major challenge for the understanding of biomechanics and mechanobiology in health and disease. Traction force microscopy remains one of the most broadly applied force probing technologies but typically restricts itself to slow events over seconds and micron-scale displacements. Here, we improve >2-fold spatially and >10-fold temporally ...
  • General Monitoring of Observational Units in the Arctic Tundra 

    Karlstrøm, Erlend Melum (Mastergradsoppgave; Master thesis, 2021-05-15)
    Climate change is going to change what we know about the arctic tundra. Patterns in the behavior of the wildlife that lives there are predicted to undergo a shift, and it will therefore be important to have reliable sources of empirical data, so that we can understand how these developments are playing out. The arctic tundra is remote and difficult to deploy sensing instruments on, and signal ...
  • Clock Synchronization between Observational Units in the Arctic Tundra 

    Karlstad, Sigurd (Mastergradsoppgave; Master thesis, 2021-05-15)
    The arctic tundra is one of the ecosystems that is most affected by climate changes. The effects of these changes on the wildlife in the arctic are therefore critical to monitor. To monitor the changes, small computing devices with sensors and cameras, known as Observational Units, can be used. Using a cluster network of interconnected observational units, so that data can be reported from the ...
  • De-identifying Swedish EHR text using public resources in the general domain 

    Chomutare, Taridzo; Yigzaw, Kassaye Yitbarek; Budrionis, Andrius; Makhlysheva, Alexandra; Godtliebsen, Fred; Dalianis, Hercules (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
    Sensitive data is normally required to develop rule-based or train machine learning-based models for de-identifying electronic health record (EHR) clinical notes; and this presents important problems for patient privacy. In this study, we add non-sensitive public datasets to EHR training data; (i) scientific medical text and (ii) Wikipedia word vectors. The data, all in Swedish, is used to train a ...
  • Particular: A Functional Approach to 3D Particle Simulation 

    Indreberg, Marius (Master thesis; Mastergradsoppgave, 2021-05-31)
    Simulating large bodies of entities in various environments is an old science that traces back decades in computer science. There are existing software frameworks with well built mathematical models for approximating various environments. These frameworks are however built on imperative programming fundamentals often following a object oriented paradigm. This thesis presents Particular a 3d ...
  • Sorterius: Game-inspired App for Encouraging Outdoor Physical Activity for People with Intellectual Disabilities 

    Stellander, Magnus (Master thesis; Mastergradsoppgave, 2021-05-15)
    People with intellectual disabilities have difficulties in reaching the World Health Organization's (WHO) suggested level of physical activity. Previous research shows that participating in physical activities often is related to self-efficacy in a physical activity setting and personal motivation. As physical activity has significant effects on physical and mental health, this thesis aimed to develop ...
  • Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective 

    Trosten, Daniel Johansen; Jenssen, Robert; Kampffmeyer, Michael (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-19)
    Preservation of local similarity structure is a key challenge in deep clustering. Many recent deep clustering methods therefore use autoencoders to help guide the model's neural network towards an embedding which is more reflective of the input space geometry. However, recent work has shown that autoencoder-based deep clustering models can suffer from objective function mismatch (OFM). In order to ...
  • Fokus på sikkerhetskultur i organisasjoner: Hvordan kan organisasjoner bedre forstå og arbeide med sikkerhetskultur? 

    Flakstad, Thor-Eivind C. (Master thesis; Mastergradsoppgave, 2019-06-14)
    Sikkerhetskultur har fått et økende fokus i organisasjoner som et nytt verktøy som burde fokuseres på i organisasjoners sikkerhetsarbeid. Tankene rundt brukbarheten til sikkerhetskultur er sprikende mellom akademikere, lovgivere og innen organisasjoner. Denne studien forsøker å vise at sikkerhetskultur er mer enn bare de observerbare manifesteringene av kulturen, samtidig som det forsøkes å skape ...
  • Testing miniaturized extraction chromatography protocols for combined 87Sr/86Sr and δ88/86Sr analyses of pore water by MC‐ICP‐MS 

    Argentino, Claudio; Lugli, Federico; Cipriani, Anna; Panieri, Giuliana (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-04)
    We tested two miniaturized extraction chromatography protocols for strontium isolation based on 300 μL (Protocol 1) and 30 μL (Protocol 2) column volumes of Sr‐Spec resin, for the simultaneous determination of 87Sr/86Sr and δ88/86Sr by MC‐ICP‐MS. The accuracy and precision of the Sr isotope ratios have been evaluated by analyzing JCt‐1 and SRM 1640a reference materials, resulting in a reproducibility ...
  • Challenges and opportunities beyond structured data in analysis of electronic health records 

    Tayefi, Maryam; Ngo, Phuong; Chomutare, Taridzo; Dalianis, Hercules; Salvi, Elisa; Budrionis, Andrius; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-14)
    Electronic health records (EHR) contain a lot of valuable information about individual patients and the whole population. Besides structured data, unstructured data in EHRs can provide extra, valuable information but the analytics processes are complex, time-consuming, and often require excessive manual effort. Among unstructured data, clinical text and images are the two most popular and important ...
  • Keeping Up with the Market: Extracting competencies from Norwegian job listings 

    Fagerbakk, Anton Garri (Mastergradsoppgave; Master thesis, 2021-05-15)
    The Norwegian labour market is under continuous change because of fast-paced innovation in technology. It is therefore vital for educational institutions curricula to reflect the changing requirements to keep the population hireable and provide employers with a highly adaptable workforce. There are no complete systems that let us analyse and extract this information about the labour market efficiently. ...
  • The Role of Mineral Assemblages in the Environmental Impact of Cu-Sulfide Deposits: A Case Study from Norway 

    Mun, Yulia; Palinkas, Sabina Strmic; Kullerud, Kåre (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-12)
    Metallic mineral deposits represent natural geochemical anomalies of economically valuable commodities but, at the same time, their weathering may have negative environmental implications. Cu-sulfide mineral deposits have been recognized as deposits with a particularly large environmental footprint. However, different Cu deposits may result in significantly different environmental impacts, mostly ...
  • The influence of surface charge on the coalescence of ice and dust particles in the mesosphere 

    Baptiste, Joshua; Williamsen, Connor; Fox, John; Stace, Anthony, J.; Hassan, Muhammad; Braun, Stefanie; Mann, Ingrid; Besley, Elena (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-09)
    Agglomeration of charged ice and dust particles in the mesosphere and lower thermosphere is studied using a classical electrostatic approach, which is extended to capture the induced polarisation of surface charge. Collision outcomes are predicted whilst varying the particle size, charge, dielectric constant, relative kinetic energy, collision geometry and the coefficient of restitution. In addition ...
  • An overall performance index for wind farms: a case study in Norway Arctic region 

    Mustafa, Albara; Barabadi, Abbas; Markeset, Tore; Naseri, Masoud (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-12)
    Wind farms (WFs) experience various challenges that affect their performance. Mostly, designers focus on the technical side of WFs performance, mainly increasing the power production of WFs, through improving their manufacturing and design quality, wind turbines capacity, their availability, reliability, maintainability, and supportability. On the other hand, WFs induce impacts on their surroundings, ...

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