Recent additions

  • Methods for Predicting the Likelihood of Safe Fieldwork Conditions in Harsh Environments 

    Leidman, Sasha Z.; Rennermalm, Åsa K.; Broccoli, Anthony J.; van As, Dirk; van den Broeke, Michiel R.; Steffen, Konrad; Hubbard, Alun Lloyd (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-30)
    Every year, numerous field teams travel to remote field locations on the Greenland ice sheet to carry out polar research, geologic exploration, and other commercial, military, strategic, and recreational activities. In this region, extreme weather can lead to decreased productivity, equipment failure, increased stress, unexpected logistical challenges, and, in the worst cases, a risk of physical ...
  • Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning 

    Bianchi, Filippo Maria; Espeseth, Martine; Borch, Njål Trygve (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-14)
    We propose a deep-learning framework to detect and categorize oil spills in synthetic aperture radar (SAR) images at a large scale. Through a carefully designed neural network model for image segmentation trained on an extensive dataset, we obtain state-of-the-art performance in oil spill detection, achieving results that are comparable to results produced by human operators. We also introduce a ...
  • Holocene precipitation seasonality in northern Svalbard: Influence of sea ice and regional ocean surface conditions 

    Kjellman, Sofia Elisabeth; Schomacker, Anders; Thomas, Elizabeth K.; Håkansson, Lena; Duboscq, Sandrine; Cluett, Allison; Farnsworth, Wesley R.; Allaart, Lis; Cowling, Owen; McKay, Nicholas P.; Brynjólfsson, Skafti; Ingólfsson, Ólafur (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-13)
    Arctic precipitation is predicted to increase in the coming century, due to a combination of enhanced northward atmospheric moisture transport and local surface evaporation from ice-free seas. However, large model uncertainties, limited long-term observations, and high spatiotemporal variability limit our understanding of these mechanisms, emphasizing the need for paleoclimate records of precipitation ...
  • Foreløpig helse- og miljørisikovurdering av genmodifisert soyalinje MON 87769 fra Monsanto Company (EFSA/GMO/UK/2009/76). Uttalelse fra Faggruppe for genmodifiserte organismer i Vitenskapskomiteen for mattrygghet. Innspill til EFSAs GMO Extranet 

    Nerland, Audun Helge; Andreassen, Åshild Kristine; Brandtzæg, Per; Finne, Merethe Aasmo; Holck, Askild Lorentz; Junttila, Juho; Konestabo, Heidi Sjursen; Meadow, Richard; Mikalsen, Arne; Nielsen, Kaare Magne; Sorteberg, Hilde-Gunn Opsahl; Vikse, Rose (Research report; Forskningsrapport, 2011-02-18)
    Helse- og miljørisikovurderingen av den genmodifiserte soyalinjen MON 87769 (EFSA/GMO/UK/2009/76) fra Monsanto er utført av Faggruppe for genmodifiserte organismer i Vitenskapskomiteen for mattrygghet. Mattilsynet og Direktoratet for naturforvaltning (DN) ber Vitenskapskomiteen for mattrygghet om å vurdere den genmodifiserte soyalinjen MON 87769 til bruk i næringsmidler og fôrvarer, men ikke til ...
  • Static polarizabilities at the basis set limit: A benchmark of 124 species 

    Brakestad, Anders; Jensen, Stig Rune; Wind, Peter; D'Alessandro, Marco; Genovese, Luigi; Hopmann, Kathrin Helen; Frediani, Luca (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-16)
    Benchmarking molecular properties with Gaussian-type orbital (GTO) basis sets can be challenging, because one has to assume that the computed property is at the complete basis set (CBS) limit, without a robust measure of the error. Multiwavelet (MW) bases can be systematically improved with a controllable error, which eliminates the need for such assumptions. In this work, we have used MWs within ...
  • Structural studies of triazole inhibitors with promising inhibitor effects against antibiotic resistance metallo-β-lactamases 

    Muhammad, Zeeshan; Skagseth, Susann; Boomgaren, Marc; Akhter, Sundus; Frøhlich, Christopher; Ismael, Aya; Christopeit, Tony; Bayer, Annette; Leiros, Hanna-Kirsti S. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-18)
    Metallo-β-lactamases (MBLs) are an emerging cause of bacterial antibiotic resistance by hydrolysing all classes of β-lactams except monobactams, and the MBLs are not inhibited by clinically available serine-β-lactamase inhibitors. Two of the most commonly encountered MBLs in clinical isolates worldwide – the New Delhi metallo-β-lactamase (NDM-1) and the Verona integron-encoded metallo-β-lactamase ...
  • First observations of the McMurdo-South Pole oblique ionospheric HF channel 

    Chartier, Alex T.; Vierinen, Juha; Jee, Geonhwa (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-09)
    We present the first observations from a new low-cost oblique ionosonde located in Antarctica. The transmitter is located at McMurdo Station, Ross Island, and the receiver at Amundsen–Scott Station, South Pole. The system was demonstrated successfully in March 2019, with the experiment yielding over 30 000 ionospheric echoes over a 2-week period. These data indicate the presence of a stable E layer ...
  • Crustal processes sustain Arctic abiotic gas hydrate and fluid flow systems 

    Waghorn, Kate Alyse; Vadakkepuliyambatta, Sunil; Plaza-Faverola, Andreia; Johnson, Joel E; Bünz, Stefan; Waage, Malin (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-30)
    The Svyatogor Ridge and surroundings, located on the sediment-covered western flank of the Northern Knipovich Ridge, host extensive gas hydrate and related fluid flow systems. The fluid flow system here manifests in the upper sedimentary sequence as gas hydrates and free gas, indicated by bottom simulating reflections (BSRs) and amplitude anomalies. Using 2D seismic lines and bathymetric data, we ...
  • On the relation between polarimetric synthetic aperture radar (SAR) features and sea ice melt pond fraction 

    Fors, Ane Schwenke; Doulgeris, Anthony Paul; Renner, Angelika; Brekke, Camilla; Gerland, Sebastian (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-11-12)
    In this study we examine the relationship between sea ice melt pond fraction and two polarimetric C-band synthetic aperture radar (SAR) features. Three high-resolution SAR scenes were recorded in the Fram Strait in late summer 2011, covering iceberg-fast first-year and old sea ice. In addition, melt pond fraction was retrieved from photographs recorded during a helicopter flight at the study area. ...
  • Mapping sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle 

    Lohse, Johannes; Doulgeris, Anthony Paul; Dierking, Wolfgang (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-23)
    Automated classification of sea-ice types in Synthetic Aperture Radar (SAR) imagery is complicated by the class-dependent decrease of backscatter intensity with Incidence Angle (IA). In the log-domain, this decrease is approximately linear over the typical range of space-borne SAR instruments. A global correction does not consider that different surface types show different rates of decrease in ...
  • Ice extent in sub-arctic fjords and coastal areas from 2001 to 2019 analyzed from MODIS imagery 

    O'Sadnick, Megan Eileen; Petrich, Chris; Brekke, Camilla; Skardhamar, Jofrid (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-03)
    Results examining variations in the ice extent along the Norwegian coastline based on the analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) images from 2001 to 2019, February through May, are presented. A total of 386 fjords and coastal areas were outlined and grouped into ten regions to assess seasonal and long-term trends in ice extent. In addition, three fjords were examined to ...
  • Added value of multitemporal polarimetric UAVSAR data for permanent scatterers detection 

    Nikaein, Tina; Akbari, Vahid; Arefi, Hossein (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-11-05)
    In the last decades, differential synthetic aperture radar (SAR) interferometric (InSAR) (DInSAR) techniques have been used to estimate the Earth's surface deformation with high resolution. In this paper, we present an approach for increasing the quantity of permanent scattered pixels. These pixels are selected for DInSAR processing based on polarimetric information prepared by new sensors. The ...
  • Learning through joint Emergency Preparedness - A Case Study of a joint Industrial Safety and Emergency Preparedness System 

    Olsen, Stian Kristoffer (Master thesis; Mastergradsoppgave, 2015-06-29)
    The purpose of this study is to extend on scientific knowledge related to emergency preparedness, knowledge acquisition and learning within joint collaboration between industrial enterprises. There are limited researches that have been done when it comes to learning (singe and double lop learning) within safety science (Drupsteen and Guldenmund 2014). Further Ramli, Mokhtar & Aziz (2014) and Reiners ...
  • The impact of system noise in polarimetric SAR imagery on oil spill observations 

    Espeseth, Martine; Brekke, Camilla; Jones, Cathleen Elaine; Holt, Benjamin; Freeman, Anthony (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-16)
    The effects of both system additive and multiplicative noise on the X-, C-, and L-band synthetic aperture radar (SAR) data covering oil slicks are examined. Prior studies have attempted to characterize such oil slicks, primarily through analysis of polarimetric SAR data. In this article, we factor in system noise that is added to the backscattered signal, introducing artifacts that can easily be ...
  • A generalized few-state model for the first hyperpolarizability 

    Alam, MD Mehboob; Beerepoot, Maarten; Ruud, Kenneth (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-22)
    The properties of molecules depend on their chemical structure, and thus, structure–property relations help design molecules with desired properties. Few-state models are often used to interpret experimental observations of non-linear optical properties. Not only the magnitude but also the relative orientation of the transition dipole moment vectors is needed for few-state models of the non-linear ...
  • Exploration of New Biomass-Derived Solvents: Application to Carboxylation Reactions 

    Gevorgyan, Ashot; Hopmann, Kathrin Helen; Bayer, Annette (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-07)
    A range of hitherto unexplored biomass‐derived chemicals have been evaluated as new sustainable solvents for a large variety of CO<sub>2</sub>‐based carboxylation reactions. Known biomass‐derived solvents (biosolvents) are also included in the study and the results are compared with commonly used solvents for the reactions. Biosolvents can be efficiently applied in a variety of carboxylation reactions, ...
  • User Expectations and Willingness to Share Self-collected Health Data 

    Woldaregay, Ashenafi Zebene; Henriksen, André; Issom, David-Zacharie; Pfuhl, Gerit; Sato, Keiichi; Richard, Aude; Lovis, Christian; Årsand, Eirik; Rochat, Jessica; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
    The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ...
  • Semi-CNN architecture for effective spatio-temporal Learning in action recognition 

    Leong, Mei Chee; Prasad, Dilip K.; Lee, Yong Tsui; Lin, Feng (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-12)
    This paper introduces a fusion convolutional architecture for efficient learning of spatio-temporal features in video action recognition. Unlike 2D convolutional neural networks (CNNs), 3D CNNs can be applied directly on consecutive frames to extract spatio-temporal features. The aim of this work is to fuse the convolution layers from 2D and 3D CNNs to allow temporal encoding with fewer parameters ...
  • User Expectations and Willingness to Share Self-Collected Health Data 

    Woldaregay, Ashenafi Zebene; Henriksen, André; Issom, David-Zacharie; Pfuhl, Gerit; Sato, Keiichi; Richard, Aude; Lovis, Christian; Årsand, Eirik; Rochat, Jessica; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
    The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ...
  • What Do We Know About the Use of Chatbots for Public Health? 

    Gabarron, Elia; Larbi, Dillys; Denecke, Kerstin; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
    <i>Background and objective</i>: The number of publications on the use of chatbots for health is recently increasing, however to our knowledge, there are no publications summarizing what is known about using chatbots for public health yet. The objective of this work is to provide an overview of the existing scientific literature on the use of chatbots for public health, for which purpose have chatbots ...

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