Blar i Fakultet for naturvitenskap (NV) på tittel
Viser treff 9547-9566 av 12479
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Risk of Feed Additives in High-lipid Fish Diets: Effects of Propionate and Docosahexaenoic Acid on Liver and Intestinal Health in Zebrafish (Danio rerio Hamilton-Buchanan, 1822)
(Doctoral theses at NTNU;2022:378, Doctoral thesis, 2022)The use of high-fat diets (HFDs) is a common practice employed to improve growth and feed efficiency in aquaculture. Propionic acid and its sodium salt are widely used in Asian fish feeds as a safe inhibitor of mold growth, ... -
Risk-based health-aware control of Åsgard subsea gas compression station
(Master thesis, 2018)Safe and efficient operation of subsea processing systems imposes strict requirements with respect to equipment design and reliability. This is to avoid accidental shutdowns, which can lead to expensive maintenance ... -
Risk-based management framework for microplastics in aquatic ecosystems
(Peer reviewed; Journal article, 2022)Microplastic particles (MPs) are ubiquitous across a wide range of aquatic habitats but determining an appropriate level of risk management is hindered by a poor understanding of environmental risk. Here, we introduce a ... -
Risk-benefit assessment of five underutilized fish species in Norway
(Peer reviewed; Journal article, 2023)Risks and benefits of increasing the consumption of five underutilized demersal fish species in Norway by applying the Benefit-Risk Analysis for Foods (BRAFO)-tiered approach were assessed. A reference scenario with zero ... -
River migration of sea trout Salmo trutta in River Beiarelva, Northern Norway
(Master thesis, 2021)Sjøørret (Salmo trutta) vandrer tilbake til elva for gyting og ofte også for overvintring, og forholdene under denne kritiske delen av sjøørretens livsløp er avgjørende for bestandens levedyktighet. Denne oppgaven undersøkte ... -
RKKY interaction and coexistence with magnetism in superconducting systems
(Doctoral theses at NTNU;2022:53, Doctoral thesis, 2022)When cooled down, the electrical resistivity of certain materials suddenly drops to zero at some specific temperature. This phenomenon is called superconductivity. As we are living in a world steadily demanding more energy, ... -
RKKY interaction in a spin-split superconductor
(Peer reviewed; Journal article, 2021)We determine theoretically the interaction between two magnetic impurities embedded in a spin-split s-wave superconductor. The spin-splitting in the superconductor gives rise to two different interaction types between ... -
RKKY Interaction in Unconventional Superconductors
(Master thesis, 2023)Med den økende interessen for ikke-konvensjonelle superledere og jakten på kontrollerbare kvantebits, har Ruderman-Kittel-Kasuya-Yosida (RKKY) vekselvirkningen, en viktig utveklslings-vekselsvirkning mellom lokale spinnmomenter ... -
Road Constraints on Impala (Aepyceros melampus) Behavior
(Master thesis, 2014)Protected areas play a key role in safeguarding and sustaining biological diversity. The development of infrastructure in protected areas facilitates management and tourism operations. However, infrastructure can affect ... -
Road-map for gas in the Norwegian metallurgical industry: greater value creation and reduced emissions
(Research report, 2017)In order to increase the use of gas in metal production, we will need to develop new – and to further develop existing – gas-based technologies, which will need to be adopted on an industrial scale. In order to provide a ... -
Roads with underlying tar asphalt - spreading, bioavailability and toxicity of their polycyclic aromatic hydrocarbons
(Peer reviewed; Journal article, 2021)Some of the older Swedish roads contain road tar underneath a surface layer of bituminous asphalt. This road tar, also known as tar asphalt, contains large amounts of polycyclic aromatic hydrocarbons (PAHs). There is concern ... -
Robot Control in Image-Guided Intervention
(Master thesis, 2016)Introducing autonomous robot systems in clinical medicine is deemed extremely challenging due to the complex scene involved and variations between patients. The majority of commercialized systems are controlled directly ... -
Robotic optical observations of compact binary millisecond pulsars
(Master thesis, 2023)Denne masteroppgaven fokuserer på robotiske optiske observasjoner av den kompakte dobbeltstjerne-millisekundpulsaren PSR J1048+2339, utført ved hjelp av Joan Oró-teleskopet (TJO). Som en del av masterarbeidet ble en ... -
A robust algorithm for rate-independent crystal plasticity
(Peer reviewed; Journal article, 2022)A new stable return-mapping algorithm enables crystal-plasticity solutions by using a regularized yield surface with very large exponents, for which the rate-independent limit of the Schmid assumption in practice is reached. ... -
Robust analysis of fluxes in genome-scale metabolic pathways
(Journal article; Peer reviewed, 2017)Constraint-based optimization, such as flux balance analysis (FBA), has become a standard systems-biology computational method to study cellular metabolisms that are assumed to be in a steady state of optimal growth. The ... -
Robust bacterial co-occurence community structures are independent of r- and K-selection history.
(Peer reviewed; Journal article, 2021)Selection for bacteria which are K-strategists instead of r-strategists has been shown to improve fish health and survival in aquaculture. We considered an experiment where microcosms were inoculated with natural seawater ... -
Robust control solutions for stabilizing flow from the reservoir: S-Riser experiments
(Master thesis, 2013)One of the best suggested solutions for prevention of severe-slugging flow conditions at offshore oilfields is the active control of the production choke valve. This thesis is a study of robust control solutions for ... -
A Robust Image Processing Algorithm for Optical-Based Stress–Strain Curve Corrections after Necking
(Peer reviewed; Journal article, 2021)To determine the stress–strain curve of a ductile material up to the fracture from a tensile test, the necking contour is measured by an optical measurement technique. The radius of the minimal cross-sectional area and the ... -
A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models
(Journal article; Peer reviewed, 2023)