Blar i Publikasjoner fra CRIStin - SINTEF AS på tittel
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Anskaffelse og implementering av elektroniske dørlåser som velferdsteknologi
(Research report, 2016)Elektroniske dørlåser (e-lås) kan brukes til å potensielt effektivisere arbeidet til omsorgs-personell i kommuner når de besøker mottakere av velferdstjenester hjemme. En av fordelene med slike installasjoner er at de kan ... -
Ansvarskompetanse. Produktivitets‐ og innovasjonsfaktor i virksomheter med høy involvering
(SINTEF Rapport;2017:00336, Research report, 2017) -
Anthropomorphic liver phantom with flow for multimodal image-guided liver therapy research and training
(Journal article; Peer reviewed, 2017)Purpose The objective of this study was to develop a multimodal, permanent liver phantom displaying functional vasculature and common pathologies, for teaching, training and equipment development in laparoscopic ultrasound ... -
Anticipating emission-sensitive traffic management strategies for dynamic delivery routing
(Journal article; Peer reviewed, 2018)Traffic pollution is an increasing challenge for cities. Emissions such as nitrogen dioxides pose a major health threat to the city’s inhabitants. These emissions often accumulate to critical levels in local areas of the ... -
Antimicrobial Resistance and Biofilms Underlying Catheter-Related Bloodstream Coinfection by Enterobacter cloacae Complex and Candida parapsilosis
(Peer reviewed; Journal article, 2022)Biofilm-associated infections are a public health concern especially in the context of healthcare-associated infections such as catheter-related bloodstream infections (CRBSIs). We evaluated the biofilm formation and ... -
App i Apotek. En tjenestemodell for å øke pasientsikkerheten knyttet til legemiddelbruk ved utskriving fra sykehus
(SINTEF Rapport;A27029, Research report, 2015) -
Appendix E Telemedisinske løsninger i maritime operasjoner og redningstjeneste
(Research report, 2016)Folk som jobber i maritime miljø har ikke enkel tilgang til sentrale helsetjenester, og det gjelder spesielt for sjøfolk som arbeider i arktiske områder. Selv om telemedisin har vært en suksess på land, har telemedisin kun ... -
Appendix H. SARINOR WP4/5. Behovsområder knyttet til overlevelse og redning i nordområdene
(SINTEF rapport;A27508, Research report, 2015) -
Applicability of enhancement factor models for CO2 absorption into aqueous MEA solutions
(Peer reviewed; Journal article, 2017)In many chemical industrial processes, mass transfer across gas-liquid interfaces accompanied by chemical reaction is the governing phenomena. In case of mass transfer accompanied by a chemical reaction in the liquid phase, ... -
Application of 7N In as secondary cathode for the direct current-glow discharge mass spectrometry analysis of solid, fused high-purity quartz
(Peer reviewed; Journal article, 2021)Direct current glow discharge mass spectrometry with an indium-based secondary cathode technique is used to analyze solid, nonconducting, fused high-purity quartz regarding metallic impurities of relevance to the solar ... -
Application of ATR-FTIR Spectroscopy to Compare the Cell Materials of Wood Decay Fungi with Wood Mould Fungi
(Journal article; Peer reviewed, 2015)Wood fungi create vast damage among standing trees and all types of wood materials. The objectives of this study are to (a) characterize the cell materials of two major wood decay fungi (Basidiomycota), namely, Trametes ... -
Application of laser-arc hybrid welding of steel for low-temperature service
(Journal article; Peer reviewed, 2019)Laser-arc hybrid welding (LAHW) is more often used in shipbuilding and oil and gas industries in recent years. Its popularity arises due to many advantages compared to conventional arc welding processes. The laser beam ... -
Application of machine learning to the identification of quick and highly sensitive clays from cone penetration tests
(Peer reviewed; Journal article, 2020)Geotechnical classification is vital for site characterization and geotechnical design. Field tests such as the cone penetration test with pore water pressure measurement (CPTu) are widespread because they represent a ... -
Application of machine learning-based selective sampling to determine BaZrO3 grain boundary structures
(Peer reviewed; Journal article, 2019)A selective sampling procedure is applied to reduce the number of density functional theory calculations needed to find energetically favorable grain boundary structures. The procedure is based on a machine learning algorithm ... -
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow
(Peer reviewed; Journal article, 2021)This paper investigates the application of Physics-Informed Neural Networks (PINNs) to inverse problems in unsaturated groundwater flow. PINNs are applied to the types of unsaturated groundwater flow problems modelled with ... -
Application of Polymethylpentene, an Oxygen Permeable Thermoplastic, for Long-Term on-a-Chip Cell Culture and Organ-on-a-Chip Devices
(Peer reviewed; Journal article, 2023)The applicability of a gas-permeable, thermoplastic material polymethylpentene (PMP) was investigated, experimentally and analytically, for organ-on-a-chip (OoC) and long-term on-a-chip cell cultivation applications. Using ... -
Application of radio frequency identification tags for marking of fish gillnets and crab pots: Trials in the Norwegian Sea and the Barents Sea, Norway
(Peer reviewed; Journal article, 2022)Marking of fishing gear is an important step in reducing abandoned, lost, and discarded gear, thereby reducing the amount of plastic pollution in the sea. With the help of fishers in their daily work on the Norwegian coast, ... -
Applications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-art
(SINTEF Rapport;2020:00530, Research report, 2020)Almost every household in Norway has a smart electricity meter installed. The advanced functionality of the meters and the large amounts of data transmitted from them have the potential to contribute to more than just a ... -
Applied Optimization at SINTEF
(Lecture, 2008) -
Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls
(Peer reviewed; Journal article, 2020)Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner ...