Faculty of Science and Technology
Sub-communities within this community
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Department of Chemistry [568]
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Department of Earth Science [1261]
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Department of Informatics [1234]
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Department of Mathematics [1135]
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Geophysical Institute [1437]
Collections in this community
Recent Submissions
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Global Lake Health in the Anthropocene: Societal Implications and Treatment Strategies
(Journal article; Peer reviewed, 2024)The world's 1.4 million lakes (≥10 ha) provide many ecosystem services that are essential for human well-being; however, only if their health status is good. Here, we reviewed common lake health issues and classified them ... -
Polycladomyces zharkentensis sp. nov., a novel thermophilic cellulose-and starch-degrading member of the Bacillota from a geothermal aquifer in Kazakhstan
(Journal article; Peer reviewed, 2024)A thermophilic, aerobic and heterotrophic filamentous bacterium, designated strain ZKZ2T, was isolated from a pipeline producing hydrothermal water originating from a >2.3 km deep subsurface geothermal source in Zharkent, ... -
Biomolecular profiles of Arctic sea-ice diatoms highlight the role of under-ice light in cellular energy allocation
(Journal article; Peer reviewed, 2024)Arctic sea-ice diatoms fuel polar marine food webs as they emerge from winter darkness into spring. Through their photosynthetic activity they manufacture the nutrients and energy that underpin secondary production. Sea-ice ... -
Multiple late Holocene glacier advances on the sub-Antarctic Kerguelen (49°S) islands: evidence from a 1200 yr sediment core from a glacial threshold basin
(Journal article; Peer reviewed, 2024)Southern Ocean (SO) climate is rapidly changing because of global warming and regional climate feedback loops like shifts of the Southern Hemisphere (SH) westerly winds (SHW) and related Southern Annular Mode (SAM). Over ... -
Transcriptome responses to benzo[a]pyrene in liver slices of sub-arctic fish species
(Journal article; Peer reviewed, 2024)Due to the expanding oil-related activities, the arctic and sub-arctic marine environments are increasingly vulnerable to oil-related pollution such as accidental oil spills. These cold-water ecosystems harbor many fish ... -
Assessing between-individual variability in bioenergetics modelling: Opportunities, challenges, and potential applications
(Journal article; Peer reviewed, 2024)Population dynamics is influenced by between-individual variability. Dynamic Energy Budget (DEB) theory is an appealing framework for assessing such a variability, yet DEB parameters have rarely been estimated at the ... -
Species assignment from seal diet samples using shape analyses in a machine learning framework
(Journal article; Peer reviewed, 2024)The identification and quantification of prey ingested is a limiting factor in trophic ecology studies and is fundamental for assessing the impact of a predator on prey populations. Vendace (Coregonus albula) and whitefish ... -
Structure of Benthic Microbial Communities in the Northeastern Part of the Barents Sea
(Journal article; Peer reviewed, 2024)The Barents Sea shelf is one of the most economically promising regions in the Arctic in terms of its resources and geographic location. However, benthic microbial communities of the northeastern Barents Sea are still ... -
Mesopelagic Fish Traits: Functions and Trade-Offs
(Journal article; Peer reviewed, 2024)Fishes inhabiting the mesopelagic zone of the world's oceans are estimated to account for the majority of the world's fish biomass. They have recently attracted new attention because they are part of the biological carbon ... -
Premises for a digital twin of the Atlantic salmon in its world: Agency, robustness, subjectivity and prediction
(Journal article; Peer reviewed, 2024)Aquaculture of Atlantic salmon Salmo salar is in transition to precision fish farming and digitalization. As it is easier, cheaper and safer to study a digital replica than the system itself, a model of the fish can ... -
Identifying the optimal landscape configuration for landscape multifunctionality
(Journal article; Peer reviewed, 2024)Increased pressure on land resources to provide multiple benefits calls for landscape strategies that optimize the supply of multiple ecosystem services (ES). Previous research into the drivers of landscape multifunctionality ... -
The effect of feeding and stomach filling on the gastric Ghrelin system in Atlantic salmon Salmo salar
(Master thesis, 2020-12-15) -
Comparing CRISPR-Cas9-mediated knock-in efficiency between Atlantic Salmon (Salmo salar) and Zebrafish (Danio rerio)
(Master thesis, 2021-01-19)Summary CRISPR gene editing technology has revolutionized the field of molecular biology enabling precise editing in the genome of all living organisms. In any gene sequence CRISPR-Cas9 can induce precise double stranded ... -
A discrete fracture matrix framework for simulating single-phase flow and non-isothermal reactive transport
(Journal article; Peer reviewed, 2024)Simulating reactive transport in fractured porous media is computationally demanding since it requires solving physical and chemical processes that non-linearly affect each other. At the same time, the processes strongly ... -
Modelling and simulation of single-phase flow and non-isothermal reactive transport in fractured porous media
(Doctoral thesis, 2025-03-31)Mange problemer i oppsprukne porøse medier skjer som et resultat av kjemiske reaksjoner med en kombinasjon av væskestrøming, varmetransport og transport av kjemiske arter. Slike problemer representerer en tett kobling av ... -
Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks
(Journal article; Peer reviewed, 2024)Identifying a maximum independent set is a fundamental NP-hard problem. This problem has several real-world applications and requires finding the largest possible set of vertices not adjacent to each other in an undirected ... -
A Field Scale Reservoir Modeling Study of CO2 Foam for Mobility Control, EOR and Associated CO2 Storage
(Master thesis, 2020-02-02) -
Graph Neural Networks in Algorithm Engineering
(Doctoral thesis, 2025-03-27)Graf Nevrale Nettverk (GNN) er ny teknologi innen kunstig intelligens. GNN viderefører de vellykkede ideene fra konvensjonell dyplæring til å fungere på grafer. For ulike grafteoretiske problemer har GNN blitt et nytt ...