Browsing CRIStin høstingsarkiv by Title

Now showing items 2208-2227 of 31227

  • Artificial cloud test confirms volcanic ash detection using infrared spectral imaging 
    Prata, Alfredo; Dezitter, Fabien; Davies, Ian; Weber, Konradin; Birnfeld, Manfred; Moriano, David; Bernardo, Cirilo; Vogel, Andreas; Prata, Gemma S.; Mather, Tasmin A.; Thomas, Helen E.; Cammas, Jean; Weber, M. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    Airborne volcanic ash particles are a known hazard to aviation. Currently, there are no means available to detect ash in flight as the particles are too fine (radii < 30 μm) for on-board radar detection and, even in good ...
  • Artificial Emotions and the Evolving Moral Status of Social Robots 
    Sica, Arianna; Sætra, Henrik Skaug (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2024)
    This article aims to explore the potential impact of artificial emotional intelligence (AEI) on the ethical standing of social robots. By examining how AEI interacts with and potentially reshapes the two dominant perspectives ...
  • Artificial intelligence can guide antibiotic choice in recurrent UTIs and become an important aid to improve antimicrobial stewardship 
    Tommaso, Cai; Anceschi, Umberto; Prata, Francesco; Collini, Lucia; Brugnolli, Anna; Migno, Serena; Rizzo, Michele; Liguori, Giovanni; Gallelli, Luca; Wagenlehner, Florian M. E.; Johansen, Truls Erik Bjerklund; Montanari, Luca; Palmieri, Alessandro; Tascini, Carlo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Background: A correct approach to recurrent urinary tract infections (rUTIs) is an important pillar of antimicrobial stewardship. We aim to define an Artificial Neural Network (ANN) for predicting the clinical efficacy of ...
  • Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography 
    Salte, Ivar M.; Østvik, Andreas; Smistad, Erik; Melichova, Daniela; Nguyen, Thuy Mi; Karlsen, Sigve; Brunvand, Harald; Haugaa, Kristina H.; Edvardsen, Thor; Løvstakken, Lasse; Grenne, Bjørnar (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Objectives This study sought to examine if fully automated measurements of global longitudinal strain (GLS) using a novel motion estimation technology based on deep learning and artificial intelligence (AI) are feasible ...
  • Artificial Intelligence for Vehicle-To-Everything: A Survey 
    Tong, Wang; Hussain, Azhar; Bo, Wang Xi; Maharjan, Sabita (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Recently, the advancement in communications, intelligent transportation systems, and computational systems has opened up new opportunities for intelligent traffic safety, comfort, and efficiency solutions. Artificial ...
  • Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators 
    Chomutare, Taridzo Fred; Tejedor Hernandez, Miguel Angel; Olsen Svenning, Therese; Ruiz, Luis Marco; Tayefi Nasrabadi, Maryam; Lind, Karianne Fredenfeldt; Godtliebsen, Fred; Moen, Anne; Ismail, Leila; Makhlysheva, Alexandra; Ngo, Phuong (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    There is a large proliferation of complex data-driven artificial intelligence (AI) applications in many aspects of our daily lives, but their implementation in healthcare is still limited. This scoping review takes a ...
  • Artificial intelligence in dry eye disease 
    Storås, Andrea Marheim; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. ...
  • Artificial intelligence, machine learning, and drug repurposing in cancer 
    Tanoli, Ziaurrehman; Vähä-Koskela, Markus; Aittokallio, Tero Antero (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new medical indications. Several machine learning (ML) and artificial intelligence (AI) approaches have been developed for ...
  • Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review 
    Shakibfar, Saeed; Nyberg, Fredrik; Li, Huiqi; Zhao, Jing; Nordeng, Hedvig Marie Egeland; Sandve, Geir Kjetil Ferkingstad; Pavlović, Milena; Hajiebrahimi, Mohammadhossein; Andersen, Morten; Sessa, Maurizio (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Aim To perform a systematic review on the use of Artificial Intelligence (AI) techniques for predicting COVID-19 hospitalization and mortality using primary and secondary data sources. Study eligibility criteria Cohort, ...
  • Artificial Neural Network-Based Caprock Structural Reliability Analysis for CO2 Injection Site—An Example from Northern North Sea 
    Ahmadigoltapeh, Sajjad; Rahman, Md Jamilur; Mondol, Nazmul Haque; Hellevang, Helge (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    In CO2 sequestration projects, assessing caprock structural stability is crucial to assure the success and reliability of the CO2 injection. However, since caprock experimental data are sparse, we applied a Monte Carlo ...
  • Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control 
    Rabault, Jean; Kuchta, Miroslav; Jensen, Atle; Reglade, Ulysse; Cerardi, Nicolas (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    We present the first application of an Artificial Neural Network trained through a Deep Reinforcement Learning agent to perform active flow control. It is shown that, in a 2D simulation of the Kármán vortex street at ...
  • Aryl Hydrocarbon Receptor (AhR) Limits the Inflammatory Responses in Human Lung Adenocarcinoma A549 Cells via Interference with NF-κB Signaling 
    Vázquez-Gómez, Gerardo; Karasová, Martina; Tylichová, Zuzana; Kabátková, Markéta; Hampl, Aleš; Matthews, Jason; Neča, Jiří; Ciganek, Miroslav; Machala, Miroslav; Vondráček, Jan (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Apart from its role in the metabolism of carcinogens, the aryl hydrocarbon receptor (AhR) has been suggested to be involved in the control of inflammatory responses within the respiratory tract. However, the mechanisms ...
  • Aryl Hydrocarbon Receptor-Dependent Metabolism Plays a Significant Role in Estrogen-Like Effects of Polycyclic Aromatic Hydrocarbons on Cell Proliferation 
    Hyzdalova, Martina; Pivnicka, Jakub; Zapletal, Ondrej; Vazquez-Gomez, Gerardo; Matthews, Jason; Neca, Jiri; Pencikova, Katerina; Machala, Miroslav; Vondracek, Jan (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
    Polycyclic aromatic hydrocarbons (PAHs) are widespread environmental contaminants that interact in a complex manner with both the aryl hydrocarbon receptor (AhR) and estrogen receptors (ER). Their potential endocrine-disrupting ...
  • As below, so before: ‘synchronic’ and ‘diachronic’ conceptions of spacetime emergence 
    Crowther-Telbis, Karen (Journal article / Tidsskriftartikkel / SubmittedVersion, 2020)
    Typically, a less fundamental theory, or structure, emerging from a more fundamental one is an example of synchronic emergence. A model (and the physical state it describes) emerging from a prior model (state) upon which ...
  • As clear as crystal? An attempt at sourcing hydrothermal quartz crystals from the Early Mesolithic site ‘Mohalsen-I’, Vega Island, Norway using LA-ICP-MS and SEM-CL 
    Spjelkavik, Skule Olaus Svendsen; Müller, Axel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    This article describes an attempt at sourcing hydrothermal quartz crystals from the Early Mesolithic site Mohalsen-I by comparing four pieces of debitage with quartz crystal samples from 19 known quartz crystal occurrences ...
  • As Condições Políticas e os Fundamentos Teológicos da Nova Direita Cristã no Brasil 
    Løland, Ole Jakob (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Jair Messias Bolsonaro venceu as eleições presidenciais de 2018 no Brasil com o apoio de quase 70% dos evangélicos e cerca de 50% dos católicos do país. Este artigo tem como objetivo explorar algumas das teologias políticas ...
  • As if I was a spacecraft returning to Earth’s atmosphere. Expanding insights into illness narratives and childhood cancer through evocative autoethnography 
    Andersen, Eva-Mari (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Today, a majority of children diagnosed with cancer are expected to grow up and live—hopefully until old age. Still, knowledge of the lived experience of childhood cancer survivors is sparse. In pursuit of knowledge ...
  • As simple as possible but not simpler: structural sensitivity testing of a dynamic model of adolescent overweight and obesity 
    Romanenko, Eduard; Homer, Jack; Lien, Nanna (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Abstract We recently published results from an SD model of adolescent overweight and obesity using data from 31 European countries that participate in the Health Behavior in School‐Aged Children (HBSC) study. During model ...
  • Ascending with ultrasound: telementored eFAST in flight—a feasibility study 
    Engelsen, Peder Christian Grendstad; Heyerdahl, Fridtjof; Maddali, Dharani Dhar; Akhavi, Mehdi Sadat; Undseth, Ragnhild Marie; Elle, Ole Jakob; Brun, Henrik (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2024)
    Abstract Purpose Teleultrasound uses telecommunication technologies to transmit ultrasound images from a remote location to an expert who guides the acquisition of images and interprets them in real ...
  • Asevolution: a relativistic N-body implementation of the (a)symmetron 
    Christiansen, Øyvind; Hassani, Farbod; Jalilvand, Mona; Mota, David (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    We present asevolution, a cosmological N-body code developed based on gevolution, which consistently solves for the (a)symmetron scalar field and metric potentials within the weak-field approximation. In asevolution, the ...