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Pre-cementation procedures' effect on dental zirconias with different yttria content
(Dental Materials;Volume 37, Issue 9, Peer reviewed; Journal article, 2021-07-28)Objective: Several pre-cementation procedures have been advocated to enhance adhesion between zirconia and resin-based cement. There is, however, limited documentation on how these pre-treatments affect the strength of ... -
Pre-stroke cognitive impairment is associated with vascular imaging pathology: a prospective observational study
(BMC Geriatrics;21, Article number: 362 (2021), Peer reviewed; Journal article, 2021-06-14)Background: Chronic brain pathology and pre-stroke cognitive impairment (PCI) is predictive of post-stroke dementia. The aim of the current study was to measure pre-stroke neurodegenerative and vascular disease burden found ... -
Precariousness during an ongoing crisis. Cultural workers and the corona pandemic.
(Industrial relations journal;Volume 53, Issue 5, Peer reviewed; Journal article, 2022)This study examines precariousness among cultural workers during an ongoing crisis. A survey of Norway's largest trade union for performing artists 1 year into the pandemic shows that precariousness before the pandemic was ... -
Precariousness in Norway and Sweden: a comparative register-based study of longstanding precarious attachment to the labour market 1996–2015
(European Societies;Volume 23, 2021 - Issue 3, Peer reviewed; Journal article, 2021-02-11)Precariousness in working life is a rising concern in Europe, but scant statistical evidence exists as to the prevalence and development of longstanding precarious employment. Using high-quality individual-level population-wide ... -
Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos
(Peer reviewed; Journal article, 2023)Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, ... -
Predicting compressive strength of CRM samples using Image processing and ANN
(IOP Conference Series: Materials Science and Engineering;volume 899, Peer reviewed; Journal article, 2020)Quality of concrete is majorly ascertained through its compressive strength which has a significant role in the stability of concrete structures. In this study, artificial neural network (ANN) and image processing (IP) ... -
Predicting COVID-19 exposure risk perception using machine learning
(Journal article; Peer reviewed, 2023)Background Self-perceived exposure risk determines the likelihood of COVID-19 preventive measure compliance to a large extent and is among the most important predictors of mental health problems. Therefore, there is a need ... -
Predicting disease severity in multiple sclerosis using multimodal data and machine learning
(Peer reviewed; Journal article, 2023)Background Multiple sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging and multimodal biomarkers to define the risk of disease activity. Methods We have analysed a prospective ... -
Predicting Finnish subject-teachers’ ICT use in Home Economics based on teacher- and school-level factors
(Education Inquiry;volume 12, issue 1, Peer reviewed; Journal article, 2020-06-24)This survey-based study (N = 161) investigates the direct and indirect effects of teacher- and school-level factors on subject-teachers’ use of ICT in Home Economics (HE). Structural equation modelling was used to test the ... -
Predicting High Delays in Mobile Broadband Networks
(IEEE Access;Volume 9: 2021, Peer reviewed; Journal article, 2021-12-24)The number of applications that run over mobile networks, expecting bounded end-to-end delay, is increasing steadily. However, the stochastic and shared nature of the wireless medium makes providing such guarantees ... -
Predicting missing pairwise preferences from similarity features in group decision making
(Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ... -
Predicting moisture condensation risk on the radiant cooling floor of an office using integration of a genetic algorithm-back-propagation neural network with sensitivity analysis
(Journal article; Peer reviewed, 2022)Pre-dehumidification time (𝜏�pre ) and pre-dehumidification energy consumption (Epre ) play important roles in preventing the condensation of moisture on the floors of rooms that use a radiant floor cooling (RFC) ... -
Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach
(Bioresource Technology;, Peer reviewed; Journal article, 2022)Screening of suitable microbe-nutrient combination and prediction of oil recovery at the initial stage is essential for the success of Microbial Enhanced Oil Recovery (MEOR) technique. However, experimental and physics-based ... -
Predicting Psychological Distress During the COVID-19 Pandemic: Do Socioeconomic Factors Matter?
(Peer reviewed; Journal article, 2022) -
Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning
(International Conference on Applied Artificial Intelligence (ICAPAI);2021 International Conference on Applied Artificial Intelligence (ICAPAI), Conference object, 2021-06-29)Topside piping is the most commonly failed equipment in the Petroleum and Maritime industry. The prominent degradation mechanism causing piping failure is fatigue which results in unnecessary hydrocarbon release from these ... -
Predicting stable employment trajectories among young people with disabilities
(Peer reviewed; Journal article, 2023)Research aiming to explain disabled people’s inequalities in the labour market has primarily focused on transitional factors between school and work, wage gaps, or socioeconomic background characteristics as expla- nations ... -
Predicting suicide attempts among Norwegian adolescents without using suicide-related items: a machine learning approach
(Journal article; Peer reviewed, 2023)Introduction: Research on the classification models of suicide attempts has predominantly depended on the collection of sensitive data related to suicide. Gathering this type of information at the population level can be ... -
Predicting the dissolved natural organic matter (DNOM) concentration and the specific ultraviolet absorption (sUVa) index in a browning central European stream
(Peer reviewed; Journal article, 2024)Over the past four decades, an increase in Dissolved Natural Organic Matter (DNOM) and colour, commonly referred to as browning, has been noted in numerous watercourses in the northern hemisphere. Understanding the ... -
Predicting the future competence needs in working life: Didactical implications for VET in Norway
(International Journal for Research in Vocational Education and Training;Vol. 7 No. 2 (2020), Peer reviewed; Journal article, 2020-08-11)Context: Two major challenges in professional and vocational education (VET) are low levels of relevance and coherence between the content of the educational program and developing competence in working life. This article ... -
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis
(Sustainable Cities and Society (SCS);Volume 83, August 2022, 103981, Peer reviewed; Journal article, 2022-06-14)This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential ...