Now showing items 301-320 of 4870

    • Quantifying short-term changes in snow strength due to increasing liquid water content above hydraulic barriers 

      Schlumpf, Mikael; Hendrikx, Jordy; Stormont, John C.; Webb, Ryan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-31)
      The rapid weakening of snow layers that accumulate infiltrating liquid water is a well-known, but poorly quantified, mechanism for wet-snow slab avalanche formation. Therefore, quantifying this mechanical process is a crucial part of forecasting these snow avalanches accurately. Currently, studies do not agree on how snow strength should change as a function of volumetric liquid water content ( ) ...
    • Calcium isotopes track volatile components in the mantle sources of alkaline rocks and associated carbonatites 

      Chen, Chunfei; Foley, Stephen F.; Tappe, Sebastian; Ren, Huange; Feng, Lanping; Liu, Yongsheng (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-16)
      The volatile components CO2 and H2O induce mantle melting and thus exert major controls on mantle heterogeneity. Primitive intraplate alkaline magmatic rocks are the closest analogues for incipient mantle melts and provide the most direct method to assess such mantle heterogeneity. Given the considerable Ca isotope differences among carbonate, clinopyroxene, garnet, and orthopyroxene in the mantle ...
    • Enhanced teaching and learning outcomes from restructuring a basic organic chemistry course 

      Hansen, Jørn Hedløy; Bayer, Annette; Haugland, Marius Myreng (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-10)
      The first course in organic chemistry is tough for many students, and motivation may be an additional serious problem if you are taking the course as a part of your study program but do not intend to become a chemist. The combination of long, speedy traditional lectures, complicated material and the use of an important new language (electron flow arrows) does not contribute to easing the cognitive ...
    • Bacterial extracellular vesicles: towards realistic models for bacterial membranes in molecular interaction studies by surface plasmon resonance 

      Brilkov, Maxim; Stenbakk, Victoria; Jakubec, Martin; Vasskog, Terje; Kristoffersen, Tone; Cavanagh, Jorunn Pauline; Ericson, Johanna Ulrica; Isaksson, Johan Mattias; Flaten, Gøril Eide (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-13)
      One way to mitigate the ongoing antimicrobial resistance crisis is to discover and develop new classes of antibiotics. As all antibiotics at some point need to either cross or just interact with the bacterial membrane, there is a need for representative models of bacterial membranes and efficient methods to characterize the interactions with novel molecules -both to generate new knowledge and to ...
    • A comparison of constant false alarm rate object detection algorithms for iceberg identification in L- and C-band SAR imagery of the Labrador Sea 

      Færch, Laust; Dierking, Wolfgang Fritz Otto; Hughes, Nick; Doulgeris, Anthony Paul (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-15)
      In this study, we pursue two objectives: first, we compare six different “constant false alarm rate” (CFAR) algorithms for iceberg detection in SAR images, and second, we investigate the effect of radar frequency by comparing the detection performance at C- and L-band. The SAR images were acquired over the Labrador Sea under melting conditions. In an overlapping optical Sentinel-2 image, 492 icebergs ...
    • Probabilistic Load Forecasting With Reservoir Computing 

      Guerra, Michele; Bianchi, Filippo Maria; Scardapane, Simone (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-15)
      Some applications of deep learning require not only to provide accurate results but also to quantify the amount of confidence in their prediction. The management of an electric power grid is one of these cases: to avoid risky scenarios, decision-makers need both precise and reliable forecasts of, for example, power loads. For this reason, point forecasts are not enough hence it is necessary to adopt ...
    • Raman spectroscopy online monitoring of biomass production, intracellular metabolites and carbon substrates during submerged fermentation of oleaginous and carotenogenic microorganisms 

      Dzurendová, Simona; Olsen, Pernille Margrethe; Byrtusova, Dana; Tafintseva, Valeria; Shapaval, Volha; Horn, Svein Jarle; Kohler, Achim; Szotkowski, Martin; Marova, Ivana; Zimmermann, Boris (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-18)
      Background - Monitoring and control of both growth media and microbial biomass is extremely important for the development of economical bioprocesses. Unfortunately, process monitoring is still dependent on a limited number of standard parameters (pH, temperature, gasses etc.), while the critical process parameters, such as biomass, product and substrate concentrations, are rarely assessable in-line. ...
    • Radical Group Transfer of Vinyl and Alkynyl Silanes Driven by Photoredox Catalysis 

      Baussiere, Floriane; Haugland, Marius Myreng (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-15)
      Radical group transfer is a powerful tool for the formation of C−C bonds. These processes typically involve radical addition to C−C π bonds, followed by fragmentation of the resulting cyclic intermediate. Despite the advantageous lability of organosilanes in this context, silicon-tethered radical acceptor groups have remained underexplored in radical group transfer reactions. We report a general ...
    • Free-Base Corrole Anion 

      Tarai, Arup; Mallick, Jyotiprakash; Conradie, Jeanet; Kar, Sanjib; Ghosh, Abhik (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-30)
      Free-base corroles have long been known to be acidic, readily undergoing deprotonation by mild bases and in polar solvents. The conjugate base, however, has not been structurally characterized until now. Presented here is a first crystal structure of a freebase corrole anion, derived from tris(p-cyanophenyl)corrole, as the tetrabuylammonium salt. The low-temperature (100 K) structure reveals ...
    • Prediction of marine icing incidents in cold regions using an IoT-based device 

      Dhar, Sushmit; Khawaja, Hassan Abbas; Naseri, Masoud; Zhu, Tiantian; Edvardsen, Kåre (Conference object; Konferansebidrag, 2023-12)
    • Application of a structured decision-making process in cryospheric hazard planning: Case study of Bering Glacier surges on local state planning in Alaska 

      Abdel-Fattah, Dina Tarek; Danielson, Mats; Ekenberg, Love; Hock, Regine; Trainor, Sarah (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-28)
      Surging glaciers are glaciers that experience rapidly accelerated glacier flow over a comparatively short period of time. Though relatively rare worldwide, Alaska is home to the largest number of surge-type glaciers globally. However, their impact on the broader socioecological system in the state is both poorly understood and underresearched, which poses a challenge in developing appropriate ...
    • Data science in wind energy: a case study for Norwegian offshore wind 

      Chen, Hao; Birkelund, Yngve; Zhang, Qixia (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-17)
      In the digital and green transitions, rapidly growing renewable energies are accumulating more and more data. Big data gives room to apply emerging data science to solve challenges in the energy sector. Offshore wind power receives accelerating attention due to its sufficient resources and cleanness. This paper uses data science, including statistical analysis and machine learning, to systematically ...
    • Prescriptive analytics for optimal multi-use battery energy storage systems operation: State-of-the-art and research directions 

      Haug, Martin; Bordin, Chiara; Mishra, Sambeet; Moisan, Julien (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-08)
      This paper presents the state-of-the-art and latest advances in implementing multi-use practices on BESS applications to the power system grid. Representative papers on modeling and optimization methods were selected, most of them working with realistic use cases, but none reporting on real-world implementations. Some major findings from reviewing key representative papers are that current optimization ...
    • FAIR+E pathogen data for surveillance and research: lessons from COVID-19 

      Neves, Aitana; Cuesta, Isabel; Hjerde, Erik; Klemetsen, Terje; Salgado, David; van Helden, Jacques; Rahman, Nadim; Fatima, Nazeefa; Karathanasis, Nestoras; Zmora, Pawel; Åkerström, Wolmar Nyberg; Grellscheid, Sushma Nagaraja; Waheed, Zahra; Blomberg, Niklas (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-21)
      The COVID-19 pandemic has exemplified the importance of interoperable and equitable data sharing for global surveillance and to support research. While many challenges could be overcome, at least in some countries, many hurdles within the organizational, scientific, technical and cultural realms still remain to be tackled to be prepared for future threats. We propose to (i) continue supporting global ...
    • Inferring neutral winds in the ionospheric transition region from atmospheric-gravity-wave traveling-ionospheric-disturbance (AGW-TID) observations with the EISCAT VHF radar and the Nordic Meteor Radar Cluster 

      Günzkofer, Florian; Pokhotelov, Dimitry; Stober, Gunter; Mann, Ingrid Brigitte; Vadas, Sharon L.; Becker, Erich; Tjulin, Anders; Kozlovsky, Alexander; Tsutsumi, Masaki; Gulbrandsen, Njål; Nozawa, Satonori; Lester, Mark; Belova, Evgenia; Kero, Johan; Mitchell, Nicholas J.; Borries, Claudia (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-18)
      Atmospheric gravity waves and traveling ionospheric disturbances can be observed in the neutral atmosphere and the ionosphere at a wide range of spatial and temporal scales. Especially at medium scales, these oscillations are often not resolved in general circulation models and are parameterized. We show that ionospheric disturbances forced by upward-propagating atmospheric gravity waves can be ...
    • Jahn-Teller distortion in bis(terpyridine)nickel(III) – Elongation or compression? 

      Conradie, Jeanet (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-06)
      DFT methods were used to evaluate the type of Jahn-Teller distortion in the low spin d<sup>7</sup> bis(terpyridine)nickel (III) doublet. The strain of the tridentate terpyridine ligand in bis(terpyridine)nickel(III) leads to longer Ni(III)-N terminal bond lengths than the Ni(III)-N central bonds. In addition, in all DFT optimized bis(terpyridine)nickel (III) molecules, the one set of Ni(III)-N ...
    • Constrained DFT-based magnetic machine-learning potentials for magnetic alloys: a case study of Fe–Al 

      Tantardini, Christian; Kotykhov, Alexey S.; Gubaev, Konstantin; Hodapp, Max; Shapeev, Alexander V.; Novikov, van S. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-13)
      We propose a machine-learning interatomic potential for multi-component magnetic materials. In this potential we consider magnetic moments as degrees of freedom (features) along with atomic positions, atomic types, and lattice vectors. We create a training set with constrained DFT (cDFT) that allows us to calculate energies of confgurations with non-equilibrium (excited) magnetic moments and, ...
    • Sea-spray measurement tools and technique employed in marine icing field expeditions: A critical literature review and assessment using CFD simulations 

      Dhar, Sushmit; Naseri, Masoud; Khawaja, Hassan Abbas; Samuelsen, Eirik Mikal; Edvardsen, Kåre; Barabady, Javad (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-24)
      Sea-spray icing resulting from sea spray droplets accreting on exposed surfaces poses a significant safety concern for vessels and marine structures operating in cold climate regions. One of the key parameters determining the amount of ice accretion is the quantity of incoming sea spray, which eventually comes in contact with the structure in the presence of brine film freezing temperature. Hence, ...
    • Some new restricted maximal operators of Fejér means of Walsh–Fourier series 

      Baramidze, Davit; Baramidze, Lasha; Perssson, Lars-Erik; Tephnadze, George (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-12)
    • Probabilistic load forecasting with Reservoir Computing 

      Guerra, Michele; Bianchi, Filippo Maria; Scardapane, Simone (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-15)
      Some applications of deep learning require not only to provide accurate results but also to quantify the amount of confidence in their prediction. The management of an electric power grid is one of these cases: to avoid risky scenarios, decision-makers need both precise and reliable forecasts of, for example, power loads. For this reason, point forecasts are not enough hence it is necessary to adopt ...