Now showing items 1061-1080 of 5314

    • Utilizing batteries in the Norwegian distribution grid 

      Eidissen, Magnus (Master thesis; Mastergradsoppgave, 2023-06-04)
      Recent research indicates that photovoltaic (PV) induced overvoltage can occur in high PVpenetration low voltage distribution networks, due to reverse power flow from power injected to the grid. Since January 2020, the number of PV installations in Norway has seen a 2.7-fold increase in a rising trend. Simultaneously there have been several reports of grid-overvoltage and PV curtailment in the ...
    • Comparison of numerical wind modelling on hectometric and km scales at Kvitfjell wind power plant 

      Rein, Kristine (Master thesis; Mastergradsoppgave, 2023-06-01)
      Evaluating the performance of numerical weather models (NWMs) is crucial to identify the best choice of model for wind resource assessments. This thesis has investigated how well NWMs with different horizontal resolutions reproduced the wind directions, the wind speeds and the associated power production at a wind power plant located in complex terrain. The evaluated models included NORA3, ...
    • Unsupervised segmentation of submarine recordings 

      Kjøtrød, Tor (Mastergradsoppgave; Master thesis, 2023-06-01)
      The thesis focuses on the unsupervised segmentation of submarine recordings collected by the Norwegian Polar Institute (NPI) using hydrophones. These recordings consists of various mammal species, along with other phenomena like vessel engines, seismic activity, and moving sea ice. With sparse labeling of the data, a supervised learning approach is not feasible, necessitating the application of ...
    • Feasibility analysis of capacity expansion in Skjerka power station based on production simulation in ProdRisk. 

      Ingolfsson Dragset, Eivind (Master thesis; Mastergradsoppgave, 2023-05-31)
      The Norwegian energy system has traditionally had an energy surplus with a large share of hydro power. Due to increasing demand of power from large scale electrification, the power system is estimated to experience hours of national power deficient in 2030 even with moderate increase of consumption. Extensive increase of variable production renewable power from wind and solar in Northern Europe has ...
    • Forecasting Wind Turbine Production Losses due to Icing 

      Andersen, Rikke Bjarnesen (Master thesis; Mastergradsoppgave, 2023-05-31)
      In order for wind energy producers to avoid the extra costs of inaccurate production estimates for the day-ahead energy market, precise forecasts of power production during the next day have to be made. For renewables such as wind energy, power production is particularly difficult to predict as it depends on the fluctuating wind speed. In addition, forecasting the power production in cold climates ...
    • Comparative performance analysis of two high-latitude solar photovoltaic systems 

      Fossland, Frank Martin (Master thesis; Mastergradsoppgave, 2023-05-30)
      The global energy demand and the urgency to limit greenhouse gas emissions require a transition to cleaner energy sources. Solar energy harvesting is a compelling solution because it can harness the sun’s enormous resources. Solar photovoltaic technology is widely adopted worldwide due to being versatile, adaptable, and mature. However, low solar irradiation and harsh weather conditions limit its ...
    • Can the absolute configuration of cyclic peptides be determined with vibrational circular dichroism? 

      Eikås, Karolina Di Remigio; Monika, Krupová; Kristoffersen, Tone; Beerepoot, Maarten; Ruud, Kenneth (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-16)
      Cyclic peptides show a wide range of biological activities, among others as antibacterial agents. These peptides are often large and flexible with multiple chiral centers. The determination of the stereochemistry of molecules with multiple chiral centers is a challenging and important task in drug development. Chiroptical spectroscopies such as vibrational circular dichroism (VCD) can ...
    • N-Heteroaryl Carbamates from Carbon Dioxide via Chemoselective Superbase−Catalysis: Substrate Scope and Mechanistic Investigation 

      Mannisto, Jere K.; Pavlovic, Ljiljana; Heikkinen, Johannes; Tiainen, Tony; Sahari, Aleksi; Maier, Norbert; Rissanen, Kari; Nieger, Martin; Hopmann, Kathrin Helen; Repo, Timo (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-16)
      We report a mild superbase-catalyzed and nitrogen-selective carboxylation of N-heteroaryls, with subsequent alkylation enabling the synthesis of drug-like O-alkyl carbamates in good yields (av. 86%). Our findings suggest a partial revision of the current mechanistic understanding as superbases upon mixing with indoles and azoles generally form uncharged hydrogen-bonded complexes and not ionic salts ...
    • Probing power laws in multifrequency AFM 

      Santos Hernandez, Sergio; Gadelrab, Karim; Olukan, Tuza Adeyemi; Font, Josep; Barcons, Victor; Chiesa, Matteo (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-17)
      Quantification of conservative forces in multifrequency atomic force microscopy requires solving the general equations of the theory expressed in terms of the virials of interaction. Power law expressions are commonly utilized when dealing with electrostatic, ferroelectric, magnetic, or long range (van der Waals) forces. Here, we discuss long range forces modeled in terms of power laws (n), where ...
    • Unsupervised and supervised learning for the reliability analysis of complex systems 

      Gámiz, María Luz; Navas-Gómez, Fernando; Nozal Cañadas, Rafael; Raya-Miranda, Rocío (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-18)
      In this paper, a strategy to deal with high-dimensional reliability systems with multiple correlated components is proposed. The goal is to construct a state function that enables the classification of the states of components in one of two categories, that is, failure and operative, in case of dealing with a large number of units in the system. To this end, it is proposed a new algorithm that ...
    • α-Synuclein fibril and synaptic vesicle interactions lead to vesicle destruction and increased lipid-associated fibril uptake into iPSC-derived neurons 

      Stephens, Amberley D.; Villegas, Ana Fernandez; Chung, Chyi Wei; Vanderpoorten, Oliver; Pinotsi, Dorothea; Mela, Ioanna; Ward, Edward; McCoy, Thomas M.; Cubitt, Robert; Routh, Alexander F.; Kaminski, Clemens F.; Kaminski Schierle, Gabriele S. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-15)
      Monomeric alpha-synuclein (aSyn) is a well characterised protein that importantly binds to lipids. aSyn monomers assemble into amyloid fibrils which are localised to lipids and organelles in insoluble structures found in Parkinson’s disease patient’s brains. Previous work to address pathological aSyn-lipid interactions has focused on using synthetic lipid membranes, which lack the complexity of ...
    • Bipartite Genomes in Enterobacterales: Independent Origins of Chromids, Elevated Openness and Donors of Horizontally Transferred Genes 

      Sonnenberg, Cecilie Bækkedal; Haugen, Peik (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-21)
      Multipartite bacteria have one chromosome and one or more chromid. Chromids are believed to have properties that enhance genomic flexibility, making them a favored integration site for new genes. However, the mechanism by which chromosomes and chromids jointly contribute to this flexibility is not clear. To shed light on this, we analyzed the openness of chromosomes and chromids of the two bacteria, ...
    • Knowledge Gaps and Impact of Future Satellite Missions to Facilitate Monitoring of Changes in the Arctic Ocean 

      Lucas, Sylvain; Johannessen, Johnny Andre; Cancet, Mathilde; Pettersson, Lasse H; Esau, Igor; Rheinlænder, Jonathan Winfield; Ardhuin, Fabrice; Chapron, Bertrand; Korosov, Anton; Collard, Fabrice; Herlédan, Sylvain; Olason, Einar; Ferrari, Ramiro; Fouchet, Ergane; Donlon, Craig (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-30)
      Polar-orbiting satellite observations are of fundamental importance to explore the main scientific challenges in the Arctic Ocean, as they provide information on bio-geo-physical variables with a denser spatial and temporal coverage than in-situ instruments in such a harsh and inaccessible environment. However, they are limited by the lack of coverage near the North Pole (Polar gap), the polar night, ...
    • The third country problem under the GDPR: enhancing protection of data transfers with technology 

      Juliussen, Bjørn Aslak; Kozyri, Elisavet; Johansen, Dag; Rui, Jon Petter (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-19)
      The overall objective of the General Data Protection Regulation (GDPR)1 is two-fold: To contribute to the protection of privacy and personal data and to promote the free flow of personal data within the protected area2 through uniform regulations and homogenized interpretations of those regulations.<p> <p>If a controller or processor in the protected area (the exporter) transfers personal data ...
    • Liposome Formulations for the Strategic Delivery of PARP1 Inhibitors: Development and Optimization 

      Conceição, Carlota J. F.; Moe, Elin; Ribeiro, Paulo A.; Raposo, Maria (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-11)
      first_pagesettingsOrder Article Reprints Open AccessArticle Liposome Formulations for the Strategic Delivery of PARP1 Inhibitors: Development and Optimization by Carlota J. F. Conceição 1,2ORCID,Elin Moe 3,4,Paulo A. Ribeiro 2ORCID andMaria Raposo 2,*ORCID 1 CEFITEC, Department of Physics, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal 2 Laboratory ...
    • Effect of temperature on the leaching of heavy metals from nickel mine tailings in the arctic area, Norway 

      Fu, Shuai; Lu, Jinmei; Walder, Ingar; Wu, Daishe (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      The leaching of heavy metals from tailings deposit due to the oxidation of sulphidic tailings and formation of acidic leachate is considered a high risk to the surrounding environment. Temperature plays an important role in the leaching of heavy metals from tailings in changing acid-based environment, especially in the Arctic area. To investigate how the temperature variation affected metal release ...
    • Viewing life without labels under optical microscopes 

      Ghosh, Biswajoy; Agarwal, Krishna (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-25)
      Optical microscopes today have pushed the limits of speed, quality, and observable space in biological specimens revolutionizing how we view life today. Further, specific labeling of samples for imaging has provided insight into how life functions. This enabled label-based microscopy to percolate and integrate into mainstream life science research. However, the use of labelfree microscopy has been ...
    • An investigation of combined effect of infill pattern, density, and layer thickness on mechanical properties of 3D printed ABS by fused filament fabrication 

      Agrawal, Anant Prakash; Kumar, Virendra; Kumar, Jitendra; Paramasivam, Prabhu; Dhanasekaran, Seshathiri; Prasad, Lalta (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-23)
      Additive manufacturing technology and its benefits have a significant impact on different industrial applications. The 3D printing technologies help manufacture lightweight intricate geometrical designs with enhanced strengths. The present study investigates the blended effects of previously recommended parameters of different infill patterns (line, triangle, and concentric) and infill densities ...
    • A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN) 

      Kalimullah, Nur M.-M.; Shelke, Amit; Habib, Anowarul (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-17)
      The practical application of data-driven frameworks like deep neural network in acoustic emission (AE) source localization is impeded due to the collection of significant clean data from the field. The utility of the such framework is governed by data collected from the site and/or laboratory experiment. The noise, experimental cost and time consuming in the collection of data further worsen the ...
    • Analyzing Mitochondrial Morphology Through Simulation Supervised Learning 

      Punnakkal, Abhinanda Ranjit; Godtliebsen, Gustav; Somani, Ayush; Acuna Maldonado, Sebastian Andres; Birgisdottir, Åsa birna; Prasad, Dilip K.; Horsch, Alexander; Agarwal, Krishna (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-03)
      The quantitative analysis of subcellular organelles such as mitochondria in cell fluorescence microscopy images is a demanding task because of the inherent challenges in the segmentation of these small and morphologically diverse structures. In this article, we demonstrate the use of a machine learning-aided segmentation and analysis pipeline for the quantification of mitochondrial morphology in ...