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Predicting the mechanism and rate of H-NS binding to at-rich DNA
(Journal article; Peer reviewed, 2019)Bacteria contain several nucleoid-associated proteins that organize their genomic DNA into the nucleoid by bending, wrapping or bridging DNA. The Histone-like Nucleoid Structuring protein H-NS found in many Gram-negative ... -
Predicting the neutralisation of acid mine drainage in anoxic olivine drains
(Peer reviewed; Journal article, 2008)The precipitation of gypsum within anoxic limestone drains subjected to very acidic and sulphate rich acid mine drainage is a problem that can be prevented by initial neutralisation of the drainage using magnesium-rich ... -
Predicting the outcome of persistent sciatica using conditioned pain modulation: 1-year results from a prospective cohort study
(Peer reviewed; Journal article, 2019)Background and aims Recovery in patients hospitalised with severe sciatica is unpredictable. Prognostic tools to aid clinicians in the early identification of patients at risk of developing chronic sciatic pain are warranted. ... -
Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder – Decoder
(Journal article; Peer reviewed, 2023)Hybrid ventilation is an energy-efficient solution to provide fresh air for most climates, given that it has a reliable control system. To operate such systems optimally, a high-fidelity control-oriented modesl is required. ... -
Predicting the Speed of a Wave-Propelled Autonomous Surface Vehicle Using Metocean Forecasts
(Chapter, 2022)Wave-propelled autonomous surface vehicles are becoming increasingly popular in oceanographic research due to their ability to provide persistent observations of the ocean environment. This type of vehicles are propelled ... -
Predicting thermal conductivity of carbon dioxide using group of data-driven models
(Peer reviewed; Journal article, 2020)Thermal conductivity of carbon dioxide (CO2) is a vital thermophysical parameter that significantly affects the heat transfer modeling related to CO2 transportation, pipelines design and associated process industries. The ... -
Predicting thrust loss of ship propellers due to ventilation and out-of-water effect
(Journal article; Peer reviewed, 2017)This paper presents a propeller ventilation model that is tuned on experiments performed in open water condition in a towing tank. The main purpose of performing the experiments was to obtain more data at higher advance ... -
Predicting trajectories of functional decline in 60- to 70-year-old people
(Journal article; Peer reviewed, 2017)Background: Early identification of people at risk of functional decline is essential for delivering targeted preventive interventions. Objective: The aim of this study is to identify and predict trajectories of functional ... -
Predicting triggering and consequence of delayed LNG RPT
(Journal article; Peer reviewed, 2018)We develop a model for delayed rapid phase transition (RPT) in LNG spills based on thermodynamics and nucleation theory which includes predictions of both triggering and vapor explosion consequence. We discover that the ... -
Predicting Tunnel Squeezing: A Discussion based on Two Tunnel Projects
(Journal article; Peer reviewed, 2013)Tunnel squeezing is a phenomenon, which is frequently confronted while tunneling through Himalayan rock mass. Weak and schistose rocks like mudstone, shale, slate, phyllite, schist, highly schistose mica gneiss and the ... -
Predicting unfavorable long-term outcome in juvenile idiopathic arthritis: Results from the Nordic cohort study
(Journal article; Peer reviewed, 2018)Background The aim was to develop prediction rules that may guide early treatment decisions based on baseline clinical predictors of long-term unfavorable outcome in juvenile idiopathic arthritis (JIA). Methods In the ... -
Predicting vessel speed in the Arctic without knowing ice conditions using AIS data and decision trees
(Peer reviewed; Journal article, 2021)The vessel speed is one of the important parameters that govern safety, emergency, and transport planning in the Arctic. While previous studies have traditionally relied on physics-based simulations to predict vessel's ... -
Predicting VO2peak from Submaximal- and Peak Exercise Models: The HUNT 3 Fitness Study, Norway
(Peer reviewed; Journal article, 2016)Purpose Peak oxygen uptake (VO2peak) is seldom assessed in health care settings although being inversely linked to cardiovascular risk and all-cause mortality. The aim of this study was to develop VO2peak prediction ... -
Predicting wax deposition using robust machine learning techniques
(Journal article; Peer reviewed, 2021)Accurate prediction of wax deposition is of vital interest in digitalized systems to avoid many issues that interrupt the flow assurance during production of hydrocarbon fluids. The present investigation aims at establishing ... -
Prediction and analysis of real-time forces in novel 3D flexible rotary stretch forming of complex profiles
(Peer reviewed; Journal article, 2023)Three-dimensional (3D), flexible rotary stretch bending is a new forming technology that enables manufacturing complex components, like 3D profiles with varying curvatures, thus addressing several limitations of conventional ... -
Prediction and Early Detection of Karsts — An Overview of Methods and Technologies for Safer Drilling in Carbonates
(Peer reviewed; Journal article, 2021)The nature of carbonate deposition as well as diagenetic processes can cause the development of unique geological features such as cavities, vugs and fractures. These are called karsts. Encountering karsts while drilling ... -
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
(Peer reviewed; Journal article, 2020)Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating prediction intervals along with point estimates ... -
Prediction Models for Thermal Conductivity of Cement-based Composites
(Journal article; Peer reviewed, 2018)This paper presents results from investigations on the long-term influence of concrete surface and crack orientation on ingress in cracks. Five reinforced concrete structures from Norway exposed to either de-icing salts ... -
Prediction of a paramagnetic Meissner effect in voltage-biased superconductor/normal-metal bilayers
(Peer reviewed; Journal article, 2020)Conventional superconductors respond to external magnetic fields by generating diamagnetic screening currents. However, theoretical work has shown that one can engineer systems where the screening current is paramagnetic, ... -
Prediction of Absorption Spectrum Shifts in Dyes Adsorbed on Titania
(Journal article; Peer reviewed, 2019)Dye adsorption on metal-oxide films often results in small to substantial absorption shifts relative to the solution phase, with undesirable consequences for the performance of dye-sensitized solar cells and optical sensors. ...