Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 35933-35952 of 37384
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Using Genomic Structural Equation Modeling to Partition the Genetic Covariance Between Birthweight and Cardiometabolic Risk Factors into Maternal and Offspring Components in the Norwegian HUNT Study
(Peer reviewed; Journal article, 2022)The Barker Hypothesis posits that adverse intrauterine environments result in fetal growth restriction and increased risk of cardiometabolic disease through developmental compensations. Here we introduce a new statistical ... -
Using in silico predicted ancestral genomes to improve the efficiency of paleogenome reconstruction
(Peer reviewed; Journal article, 2020)Paleogenomics is the nascent discipline concerned with sequencing and analysis of genome‐scale information from historic, ancient, and even extinct samples. While once inconceivable due to the challenges of DNA damage, ... -
Using informed access network selection to improve HTTP adaptive streaming performance
(Chapter, 2020)As end-user devices often have multiple access networks available, choosing the most suitable network can help to improve application performance and user experience. However, selecting the best access network for HTTP ... -
Using Intervention Mapping to Develop a Decision Support System–Based Smartphone App (selfBACK) to Support Self-management of Nonspecific Low Back Pain: Development and Usability Study
(Peer reviewed; Journal article, 2022)Background: International guidelines consistently endorse the promotion of self-management for people with low back pain (LBP); however, implementation of these guidelines remains a challenge. Digital health interventions, ... -
Using Lagrangian relaxation to locate hydrogen production facilities under uncertain demand: a case study from Norway
(Peer reviewed; Journal article, 2023)Hydrogen is considered a solution to decarbonize the transportation sector, an important step to meet the requirements of the Paris agreement. Even though hydrogen demand is expected to increase over the next years, the ... -
Using Language Models for Classifying the Party Affiliation of Political Texts
(Journal article, 2022) -
Using locational data in a novel mixed-methods sequence design: Identifying critical health care barriers for people with disabilities in Malawi
(Journal article; Peer reviewed, 2021)The primary aim of this study was to determine which health care barriers were most important for people with disabilities in Malawi. To accomplish this, we devised a sequential mixed-methods research design that integrated ... -
Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
(Peer reviewed; Journal article, 2023) -
Using Low-Cost Sensors to Develop a High Precision Lifting Controller Device for an Overhead Crane—Insights and Hypotheses from Prototyping a Heavy Industrial Internet Project
(Journal article; Peer reviewed, 2018)The Internet of Things (IoT) paradigm envisions a world where everyday things interchange information between each other in a way that allows users to make smarter decisions in a given context. Even though IoT has many ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Using machine learning pipeline to predict entry into the attack zone in football
(Peer reviewed; Journal article, 2023)Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. This paper addresses ... -
Using machine learning prediction models for quality control: a case study from the automotive industry
(Journal article; Peer reviewed, 2023)This paper studies a prediction problem using time series data and machine learning algorithms. The case study is related to the quality control of bumper beams in the automotive industry. These parts are milled during the ... -
Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study
(Peer reviewed; Journal article, 2024)Background Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times. Objective To assess the extent of busy ambulances in Central Norway ... -
Using Material Flow Analysis (MFA) to generate the evidence on plastic waste management from commercial fishing gears in Norway.
(Journal article; Peer reviewed, 2019)Plastic debris is an ever-growing concern adversely affecting the coastal and marine ecosystem. Among marine plastic waste, a particularly troublesome waste fraction is Abandoned, Lost or Discarded Fishing Gears (ALDFG) ... -
Using Metabolomics to Differentiate Player Positions in Elite Male Basketball Games: A Pilot Study
(Peer reviewed; Journal article, 2021)Purpose: The current study compared metabolic profiles and movement patterns between different player positions and explored relationships between indicators of internal and external loads during elite male basketball ... -
Using MPC for Managed Pressure Drilling
(Journal article; Peer reviewed, 2013)As production on the Norwegian shelf enters tail production, drilling wells with vanishing pressure windows become more attractive. This motivates use of automatic control systems for improved control of downhole pressure ... -
Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games
(Peer reviewed; Journal article, 2020)Leveraging motion-based touchless games (MBTG) to support children’s learning is appealing and technically challenging. The application of multimodal learning analytics (MMLA) can help researchers to better understand how ... -
Using multiple random index dates with the reverse waiting time distribution improves precision of estimated prescription durations
(Peer reviewed; Journal article, 2021)Purpose To improve the precision of prescription duration estimates when using the reverse waiting time distribution (rWTD). Methods For each patient we uniformly sampled multiple random index dates within a sampling ... -
Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
(Peer reviewed; Journal article, 2022)Objectives Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA); it is unclear whether this represents a causal effect or shared aetiology and whether these ...