Blar i Fakultet for naturvitenskap (NV) på tittel
Viser treff 6619-6638 av 12479
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LysoPC and PAF Trigger Arachidonic Acid Release by Divergent Signaling Mechanisms in Monocytes
(Journal article; Peer reviewed, 2011)Oxidized low-density lipoproteins (LDLs) play an important role during the development of atherosclerosis characterized by intimal inflammation and macrophage accumulation. A key component of LDL is lysophosphatidylcholine ... -
Lære ved å gjøre, lære ved å skrive?: - Om skriving og læring i eksperimentelt arbeid
(Master thesis, 2012)Denne oppgaven tar for seg noen av grunnene til at eksperimentelt arbeid i kjemi ikke har vært så læringseffektivt som man har trodd og ønsket. Den beskriver videre muligheter for å gjøre noe med problemene, både ved hjelp ... -
Lønnsom foredling av sjømat i Norge
(Research report, 2014)Automatisering og robotisering av produksjonsprosesser forventes å få en sentral plass i samfunnet. I en utredning fra Stiftelsen for Strategisk Forsking i Sverige, forventes det at i løpet av ... -
Machine Learning and First Principles Modeling Applied to Multiphase Flow Estimation
(Doctoral theses at NTNU;2020:407, Doctoral thesis, 2020)Accurate knowledge of multiphase flowrates produced by each well in an oil and gas production system is important for performing production optimization, flow assurance and reservoir management. Among the alternatives, ... -
Machine Learning and Image Processing for the Study of Fluid Particle Breakage in Turbulent Flow
(Master thesis, 2020)Hovedformålet med denne oppgaven er å lage maskinlæringsmodeller for bruk i en allerede eksisterende bildeanalysekode for å kunne spore oljedråper i en turbulent strøm av vann. I tillegg, har prosjektet som mål å beskrive ... -
A machine learning enabled ultra-fine grain design strategy of Mg–Mn-based alloys
(Peer reviewed; Journal article, 2023)Grain size is the critical characteristic of ultra-fine grain Magnesium (Mg), which is a concrete representation of the whole heat deformation procedure. In this paper, a design strategy was proposed to quantitatively ... -
Machine Learning for Predicting Polarization Curves and Their Features
(Master thesis, 2023)Vanligvis er viktige elektrokjemiske parametere hentet fra empiriske data. Dette skyldes i stor grad at analytiske modeller, som ulike former av Butler-Volmer-ligningen, ofte kommer til kort i nøyaktig å fange de viktige ... -
Machine Learning Modelling of the Oxidative and Thermal Degradation of Monoethanolamine (MEA)
(Master thesis, 2021)Folketallet i verden vokser, noe som fører til en økning i forbruket av ressurser og utslipp av klimagasser. Som et resultat av dette øker konsentrasjonene av klimagasser i atmosfæren til farlige nivåer, og behovet for ... -
Machine-learned model Hamiltonian and strength of spin–orbit interaction in strained Mg2X (X = Si, Ge, Sn, Pb)
(Peer reviewed; Journal article, 2022)Machine-learned multi-orbital tight-binding (MMTB) Hamiltonian models have been developed to describe the electronic characteristics of intermetallic compounds Mg2Si, Mg2Ge, Mg2Sn, and Mg2Pb subject to strain. The MMTB ... -
Macro- and micro scale phenomena in gas flotation for produced water treatment- the effect of fluid composition, temperature and pressure
(Doctoral theses at NTNU;2023:369, Doctoral thesis, 2023)Produced water, the primary waste product of the petroleum industry, contains harmful components that must be treated before discharge to the sea or reinjection. The focus of treatment has traditionally been on dispersed ... -
Macroalgal detritus: Physical variables and impacts on the benthic macrofaunal community
(Master thesis, 2018)Marine primary productivity by micro- and macroalgae in Norway, limited to the photic zone (0 200 m depth), controls the amount of organic carbon (food) available to higher trophic levels, and is the basis for marine ... -
MacroBiomass En kompetansebase for industriell taredyrking
(Research report, 2013)MacroBiomass Prosjektet MacroBiomass har hatt som mål å bygge en kompetansebase med fokus på biologiske utfordringer i storskala dyrking av makroalger (tare) til bioenergi. Prosjektet har jobbet med hele produksjonssyklusen ... -
Macroclimatic structuring of spatial phylogenetic turnover in liverworts
(Peer reviewed; Journal article, 2021)Phylogenetic turnover has emerged as a powerful tool to identify the mechanisms by which biological communities assemble. When significantly structured along environmental gradients, phylogenetic turnover evidences ... -
Macromolecular acidic coating increases shelf life by inhibition of bacterial growth
(Journal article; Peer reviewed, 2018)The sensitivity of microorganisms to low pH can be utilized in food protection by preparing coatings based on macromolecular acids. Due to limited diffusivity of macromolecules low pH occurs primarily at the surface, while ... -
Macromolecular characterisation of lignosulfonates and their interactions with chitosans
(Doktoravhandlinger ved NTNU, 1503-8181; 2002:99, Doctoral thesis, 2002)An HPLC-based SEC-MALLS method was developed for absolute molecular weight and molecular weight distribution determination for lignosulfonates. An aqueous phosphate/DMSO/SDS mobile phase yielded satisfactory SEC results. ... -
Macromolecular interactions at the single-molecule level - Fluctuation analysis of bound states
(Master thesis, 2018)The recognition, binding and release of macromolecules are precisely orchestrated in a stochastic interplay governing all enzymatic, immunological and cellular processes. Deciphering this complex synergy in order to ... -
Magnesiothermic Reduction of Natural Quartz
(Journal article; Peer reviewed, 2022)In the current work, the metallothermic reduction of natural quartz by magnesium has been studied at 1373 K under different reaction conditions, i.e. quartz type, quartz particle size, Mg:SiO2 mole ratio and reaction time. ... -
Magnesiothermic Reduction of Silica: A Machine Learning Study
(Peer reviewed; Journal article, 2023)Fundamental studies have been carried out experimentally and theoretically on the magnesiothermic reduction of silica with different Mg/SiO2 molar ratios (1–4) in the temperature range of 1073 to 1373 K with different ... -
Magnetic and geometric control of spin textures in the itinerant kagome magnet Fe3 Sn2
(Peer reviewed; Journal article, 2021)Magnetic materials with competing magnetocrystalline anisotropy and dipolar energies can develop a wide range of domain patterns, including classical stripe domains, domain branching, and topologically trivial and nontrivial ... -
Magnetic and Stimuli-Responsive Nanoparticles for Environmental and Biomedical Applications
(Doctoral theses at NTNU;2021:362, Doctoral thesis, 2021)For the past few decades, nanomaterials have been an integral part of research involving applications in various industries, ranging from pharmaceuticals, electronics, energy, chemical, food, aviation, etc, owing to their ...