• Cytotoxic and inflammatory responses of human lung cells exposed to multi-walled carbon nanotubes 

      Nilsen, Lone (Master thesis, 2011)
      AbstractWith the emergence of the nanotechnology industry, there has been a rapid expansion of different types and numbers of nanomaterials to be used in various applications. However, little is known of their potential ...
    • Cytotoxicity and Genotoxicity of Functionalised Multi Walled Carbon Nanotubes in the PLHC-1 Cell Line 

      Ballestad, Marita (Master thesis, 2015)
      The field of nanotechnology is rapidly expanding in all sectors of society due to its increasingly large number of applications. This field deals with materials at the nanoscale, defined as having at least one dimension ...
    • Cytotoxicity of poly(Alkyl cyanoacrylate) nanoparticles 

      Sulheim, Einar; Iversen, Tore Geir; To, Vu; Klinkenberg, Geir; Sletta, Håvard; Schmid, Ruth; Hatletveit, Anne Rein; Wågbø, Ane Marit; Sundan, Anders; Skotland, Tore; Sandvig, Kirsten; Mørch, Ýrr Asbjørg (Journal article; Peer reviewed, 2017)
      Although nanotoxicology has become a large research field, assessment of cytotoxicity is often reduced to analysis of one cell line only. Cytotoxicity of nanoparticles is complex and should, preferentially, be evaluated ...
    • C–O–H2 ternary diagram for evaluation of carbon activity in CH4-containing gas mixtures 

      Ribeiro, T.R.; Ferreira Neto, Neto; Takano, C.; Poço, J.G.R.; Kolbeinsen, Leiv; Ringdalen, Eli (Peer reviewed; Journal article, 2021)
      The C–O–H2 ternary diagram is presented to characterize the carbon activity in equilibrium with gas mixtures containing CH4, CO, CO2, H2O, and H2 at different temperatures and pressures. The three reactions for carbon ...
    • D2.1 User requirement specification (v1.0) 

      Lerfall, Jørgen; Jakobsen, Anita Nordeng; Tsakanikas, Panagiotis; Guðjónsdóttir, María (Research report, 2022)
      The objective of WP2 "Tracking hazards and potential measures" is to track potential hazards across the Bluebio value chain affecting food quality and safety along three crucial value chains in Europe, and more precisely: ...
    • D7.1 Dissemination and communication plan 

      Guðjónsdóttir, María; Zervas, Panagiotis; Koukourikos, Antonis; Del Genio, Alessia; Lerfall, Jørgen; Tsakanikas, Panagiotis (Research report, 2022)
      Effective dissemination and communication are important to assure that the TraceMyFish project results reach the appropriate stakeholders both during and at the end of the project duration. Work Package 7 is specially ...
    • dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble 

      Bonner, Simon; Mutzel, Ariane; Kim, Han-Na; Westneat, David F.; Wright, Jonathan; Schofield, Matthew (Peer reviewed; Journal article, 2021)
      Traditional regression models, including generalized linear mixed models, focus on understanding the deterministic factors that affect the mean of a response variable. Many biological studies seek to understand non-deterministic ...
    • Damring formation during rotary kiln chromite pre-reduction: Effects of pulverized carbonaceous fuel selection and partial pellet melting 

      van Staden, Yolindi; Beukes, Johan Paul; van Zyl, Pieter Gideon; Ringdalen, Eli; Tangstad, Merete; Kleynhans, Ernst L.J.; Bunt, John Reginald (Journal article; Peer reviewed, 2018)
      Electricity consumption is the largest cost contributing factor in the production of ferrochrome. Currently the pelletized chromite pre-reduction process (solid-state reduction of chromite) is the process option with the ...
    • Dark energy from quantum gravity 

      Eriksen, Matin Børstad (Master thesis, 2009)
       The thesis consists of two parts, where the last one tries to model the evolution of the universe by using a scalar field. Within this class of models there is a huge amount of freedom and few simple restrictions. ...
    • Dark matter candidates and their indirect detection 

      Solberg, Marius Aa. (Doktoravhandlinger ved NTNU, 1503-8181; 2010:152, Doctoral thesis, 2010)
    • Dark Matter Contribution to the Isotropic Extragalactic Gamma-Ray Background 

      Skarshaug, Stine (Master thesis, 2011)
      This thesis looks into the possibilities of finding a signal from dark matter annihilation in the isotropic extragalactic gamma-ray background radiation (EGBR), and compares the the results with data from the Fermi Large ...
    • Data for characterization of the optical properties of Atlantic salmon (Salmo salar) blood 

      Svendsen, Eirik; Randeberg, Lise Lyngsnes; Føre, Martin; Finstad, Bengt; Olsen, Rolf-Erik; Bloecher, Nina; Alfredsen, Jo Arve (Peer reviewed; Journal article, 2023)
      Photoplethysmography is a recent addition to physio-logging in Atlantic salmon which can be used for pulse oximetry provided that the properties for light propagation in salmon tissues are known. In this work, optical ...
    • Data on atomic structures of precipitates in an Al-Mg-Cu alloy studied by high resolution transmission electron microscopy and first-principles calculations 

      Chen, Xuanliang; Marioara, Calin Daniel; Andersen, Sigmund Jarle; Friis, Jesper; Lervik, Adrian; Holmestad, Randi; Kobayashi, Equo (Journal article; Peer reviewed, 2021)
      The dataset refers to the research article “Precipitation processes and structural evolutions of various GPB zones and two types of S phases in a cold-rolled Al-Mg-Cu alloy” [1]. Transmission electron microscopy (TEM) and ...
    • Data on the sensory characteristics and chemical composition of the edible red seaweed dulse (Palmaria palmata) after dry and semi-dry storage 

      Stevant, Pierrick Francois Denis; Ólafsdottir, Adalheidur; Déléris, Paul; Dumay, Justine; Fleurence, Joël; Ingadóttir, Bergrós; Jónsdóttir, Rosa; Ragueneau, Émilie; Rebours, Céline; Rustad, Turid (Peer reviewed; Journal article, 2020)
      The data article refers to the paper “Semi-dry storage as a maturation process for improving the sensory characteristics of the edible red seaweed dulse ( Palmaria palmata )” [1] . The data refers to the analysis of samples ...
    • A data-derived reference mixture representative of European wastewater treatment plant effluents to complement mixture assessment 

      Beckers, Liza-Marie; Altenburger, Rolf; Brack, Werner; Escher, Beate I.; Hackermüller, Jörg; Hassold, Enken; Illing, Gianina; Krauss, Martin; Krüger, Janet; Michaelis, Paul; Schüttler, Andreas; Stevens, Sarah Lena Inge Marie; Busch, Wibke (Journal article; Peer reviewed, 2023)
      Aquatic environments are polluted with a multitude of organic micropollutants, which challenges risk assessment due the complexity and diversity of pollutant mixtures. The recognition that certain source-specific background ...
    • Data-Driven Control Strategies: From MPC to Reinforcement Learning 

      Adhau, Saket (Doctoral theses at NTNU;2024:42, Doctoral thesis, 2024)
      This thesis presents a comprehensive investigation into the integration of machine learning techniques to enhance the performance and applicability of Model Predictive Control (MPC). The main focus is on addressing challenging ...
    • Data-driven modelling of subsea equipment degradation using simulated and experimental case studies 

      Jahren, Jan Henrik (Master thesis, 2021)
      I all industri finnes det visse essensielle komponenter som utsettes for slitasje fra flere ulike kilder. I denne oppgaven studeres spesifikt erosjonen fra sand i den sakalte stru- ˚ peventilen (”choke valve”) i et subsea ...
    • Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters 

      Thombre, Mandar; Mdoe, Zawadi Ntengua; Jäschke, Johannes (Peer reviewed; Journal article, 2020)
      Industrial waste heat recovery is an attractive option having the simultaneous benefits of reducing energy costs as well as carbon emissions. In this context, thermal energy storage can be used along with an optimal operation ...
    • Data-driven Scenario Selection for Multistage Robust Model Predictive Control 

      Krishnamoorthy, Dinesh; Thombre, Mandar; Skogestad, Sigurd; Jäschke, Johannes (Journal article; Peer reviewed, 2018)
      A main assumption in many works considering multistage model predictive control (MPC) is that discrete realizations of the uncertainty are chosen a-priori and that the scenario tree is given. In this work, we focus on ...
    • Data-Driven Virtual Flow Metering using Neural Networks 

      Rajasekhar, Megha (Master thesis, 2022)
      Forutsigelse av strømningshastighet er en avgjørende prosess i olje- og gassindustrien, spesielt der flerfasestrømmer er involvert. Det finnes noen få metoder for å vurdere flerfasestrømningshastigheter som imidlertid er ...