- Research Article
1
- 10.2139/ssrn.5020993
A Dynamic Modelling Tool to Ensure the Safety of Drinking Water Sources Near Amine-Based CO2 Capture Plants
- Jan 01, 2024
- SSRN Electronic Journal
- Cathrine Brecke Gundersen + 9 more +9
Publications from 2021 to 2026
Showing 4 of 4 papers
A Dynamic Modelling Tool to Ensure the Safety of Drinking Water Sources Near Amine-Based CO2 Capture Plants
Smart fault handling in medium-voltage distribution grids
This study presents first results from a pilot project on using fault indicators and self-healing in medium-voltage distribution grids. Directional earth-fault indicators were chosen and deployed in real environments to test their functionalities and quantify their benefits for efficient grid operations. Self-healing concepts using these indicators will be tested in the described project. Different communication schemes will be explored in order to find the most cost-effective solutions. Theoretical potentials of the expected benefits of the fault indicators located at different positions in the grid were modelled and will be compared to the results from field tests.
Read moreInfluence of lornoxicam a new non‐steroidal antiinflammatory drug on lithium pharmacokinetics
Abstract The pharmacokinetics of lithium carbonate have been studied in 12 normal young volunteers when given alone and in combination with lornoxicam, a novel non‐steroidal anti‐inflammatory drug. Peak and 12‐h lithium concentrations were significantly higher when both drugs were given together than when lithium was given alone. Caution should be exercised if and when the drugs are co‐prescribed.
Read moreMultispectral analysis of uterine corpus tumors in magnetic resonance imaging
The goal of this prospective study was to evaluate multispectral analysis techniques for automatic recognition of uterine cancer in magnetic resonance (MR) imaging. The first part of this study was an open training phase in which the statistical parameters of the various normal and pathological tissue types were estimated. This was followed by a test phase that was done as a blind experiment. Results from an extensive pathological examination of the surgically removed organs served as the reference for the diagnosis and various geometric measurements of the lesions. A radiological examination of the MR images was also performed. All malignant test tumors were correctly or close to correctly classified. However, parts of normal endometrium and other mucosal linings were also classified as adenocarcinomas. In addition, parts of some of the malignant tumors were classified as normal endometrium. The geometrical extension of the tumor and its relationship to the surroundings were slightly better predicted than those obtained by the radiologist. The results indicate that it is possible to differentiate and determine the local extension of some types of uterine malignancies based on the information present in MR images.
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