Viser treff 201-220 av 4870

    • Quantitative at-line monitoring of enzymatic hydrolysis using benchtop diffusion nuclear magnetic resonance spectroscopy 

      McCarney, Evan R.; Kristoffersen, Kenneth Aase; Anderssen, Kathryn Elizabeth (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-18)
      Benchtop diffusion nuclear magnetic resonance (NMR) spectroscopy was used to perform quantitative monitoring of enzymatic hydrolysis. The study aimed to test the feasibility of the technology to characterize enzymatic hydrolysis processes in real time. Diffusion ordered spectroscopy (DOSY) was used to measure the signal intensity and apparent self-diffusion constant of solubilized protein in ...
    • Corporate social responsibility in complex systems based on sustainable development 

      Nouri Qarahassanlou, Ali; Barabadi, Abbas (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-21)
      In recent years, sustainable development and the commitment of companies to social responsibility have been emphasized as a new concern for various industries. Considering this issue, for the first time, this study conducted a systematic review of the development of social responsibility from the perspective of industrial sustainable development (SD). To be more precise, this study investigated ...
    • Biogeochemical investigations of methane seepage at the ultraslow-spreading Arctic mid-ocean ridge: Svyatogor ridge, Fram Strait 

      Argentino, Claudio; Borrelli, Chiara; Akinselure, Abidemi; Correa-Diaz, Melyssa; Panieri, Giuliana (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-13)
      The Arctic continental shelves are important reservoirs of methane stored in gas hydrates and deeper geological formations. However, little is known about methane dynamics in deeper oceanic settings such as mid-ocean ridges, mainly due to operational challenges related to their remoteness. This study investigates a recently discovered methane seepage environment at Svyatogor Ridge, a sediment-covered ...
    • On the Control of Northern Hemispheric Feedbacks by AMOC: Evidence from CMIP and Slab Ocean Modeling 

      Eiselt, Kai-Uwe; Graversen, Rune Grand (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-06)
      The climate sensitivity of Earth and the radiative climate feedback both change over time as a result of a so-called “pattern effect,” i.e., changing patterns of surface warming. This is suggested by numerical climate model experiments. The Atlantic meridional overturning circulation (AMOC) influences surface warming patterns as it redistributes energy latitudinally. Thus, this ocean circulation may ...
    • Changes in the North Pacific Jet Stream in Recent Decades 

      Alizadeh, Omid; Babaei, Morteza (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-25)
      Changes in the path and intensity of jet streams have major impacts on regional weather and climate patterns. We investigated changes in the intensity, meridional position, and altitude of the North Pacific jet in different seasons during the period 1979–2020 using the European Centre for Medium-Range Weather Forecasts (ECMWF) fifth-generation reanalysis (ERA5) dataset. Our analysis indicates that ...
    • Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy 

      Somani, Ayush; Banerjee, Pragyan; Rastogi, Manu; Habib, Anowarul; Agarwal, Krishna; Prasad, Dilip Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
      Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ...
    • A Concept of Information-Based Strategy for Accident Prevention 

      Zhu, Tiantian; Naseri, Masoud; Liu, Yiliu (Chapter; Bokkapittel, 2023)
      With the increasing use of sensor technology, it has become common practice to use collected data to reduce uncertainty and ensure safety. This paper presents the concept of an information-based strategy for accident prevention that puts more weight on hazard detection and monitoring and makes use of data obtained. The information-based strategy can be considered as a new barrier for safety management. ...
    • Exploring the Potential of CO2: Enantioselective C-C Bond Formation 

      Pettersen, Martin (Doctoral thesis; Doktorgradsavhandling, 2024-03-08)
      CO<sub>2</sub> is a renewable source of carbon that has not yet been properly utilized. The reason for this is mostly due to its kinetic and thermodynamic stability. The potential renewability of CO<sub>2</sub>, coupled with environmental concerns, has motivated scientists worldwide to develop new artificial carbon cycles for chemical fixation of CO<sub>2</sub>. Unfortunately, the pronounced inertness ...
    • Single-shot multispectral quantitative phase imaging of biological samples using deep learning 

      Bhatt, Sunil; Butola, Ankit; Kumar, Anand; Thapa, Pramila; Joshi, Akshay; Jadhav, Suyog S.; Singh, Neetu; Prasad, Dilip K.; Agarwal, Krishna; Mehta, Dalip Singh (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-16)
      Multispectral quantitative phase imaging (MS-QPI) is a high-contrast label-free technique for morphological imaging of the specimens. The aim of the present study is to extract spectral dependent quantitative information in single-shot using a highly spatially sensitive digital holographic microscope assisted by a deep neural network. There are three different wavelengths used in our method: 𝜆=532 , ...
    • Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence 

      Fineide, Fredrik; Storås, Andrea; Riegler, Michael Alexander; Utheim, Tor Paaske (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-17)
      Dry eye disease is a common and potentially debilitating medical condition. Meibum secreted from the meibomian glands is the largest contributor to the outermost, protective lipid layer of the tear film. Dysfunction of the meibomian glands is the most common cause of dry eye disease. As meibomian gland dysfunction progresses, gradual atrophy of the glands is observed. The meibomian glands are ...
    • The effects of uplift and erosion on the petroleum systems in the southwestern Barents Sea: Insights from seismic data and 2D petroleum systems modelling 

      Ktenas, Dimitrios; Nielsen, Jesper Kresten; Henriksen, Erik; Meisingset, Ivar; Schenk, Oliver (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-05)
      In the past three decades, the hydrocarbon prospectivity has been enigmatic in the southwestern Barents Sea as gas discoveries have dominated over oil. However, more recent discoveries indicate oil potential, especially in the Polheim Platform and Hoop Complex areas. Cenozoic uplift and erosion episodes are critical because they control the duration and depth of maximum burial of source rocks and ...
    • A Review of Learning Analytics Dashboard and a Novel Application in Maritime Simulator Training 

      Munim, Ziaul Haque; Kim, Tae Eun (Chapter; Bokkapittel, 2023)
      Developing a Learning Analytics Dashboard (LAD) to evaluate maritime simulation training performance based on key performance indicators (KPIs) of maritime navigational competence can improve learning efficiency and effectiveness. Relevant data needs to be fed from simulation training logs and other sources, analysed using appropriate visualization and artificial intelligence approaches, and reported ...
    • Exploring alternative performance evaluation method in nautical simulations 

      Kim, Tae Eun; Munim, Ziaul Haque; Schramm, Hans-Joachim (Chapter; Bokkapittel, 2023)
      Performance assessment is fundamental for skill and competence development in professional education and training. This paper reviews the methods and metrics for performance assessment during maritime simulator-based education and training process, and creates an understanding regarding the current stage of knowledge and tools that could be used to systematically evaluate the student's learning ...
    • The Distribution of Small-Scale Irregularities in the E-Region, and Its Tendency to Match the Spectrum of Field-Aligned Current Structures in the F-Region 

      Ivarsen, Magnus Fagernes; Lozinsky, Adam; St-Maurice, Jean-Pierre; Spicher, Andres; Huyghebaert, Devin Ray; Hussey, Glenn C.; Galeschuk, Draven; Pitzel, Brian; Vierinen, Juha (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-16)
      We associate new data from icebear, a coherent scatter radar located in Saskatchewan, Canada, with scale-dependent physics in the ionosphere. We subject the large-scale icebear 3D echo patterns (treated as 2D point clouds) to a data analysis technique hitherto never applied to the ionosphere, a technique that is widely applied in cosmological red-shift surveys to characterize the spatial clustering ...
    • A Mechanistic Study of the Cu-catalyzed N-arylation of Hydantoin with Aryl(TMP)iodonium Salts 

      Nova Flores, Ainara; Berntsen, Linn Neerbye (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-16)
      The use of diaryliodonium salts in organic reactions has rapidly increased in the last decade because of their efficiency in arylation reactions. Despite this, mechanistic investigations are still scarce, particularly for copper catalyzed N-arylation reactions. Recently, we published the use of the unsymmetrical aryl(TMP)iodonium salts (TMP=2,4,6-trimethoxyphenyl) for the selective Cu-catalyzed ...
    • Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort 

      Waaler, Per Niklas Benzler; Melbye, Hasse; Schirmer, Henrik; Johnsen, Markus Kreutzer; Dønnem, Tom; Ravn, Johan Fredrik; Andersen, Stian; Davidsen, Anne Herefoss; Aviles Solis, Juan Carlos; Stylidis, Michael; Bongo, Lars Ailo Aslaksen (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-24)
      Objective: This study aims to assess the ability of state-of-the-art machine learning algorithms to detect valvular heart disease (VHD) from digital heart sound recordings in a general population that includes asymptomatic cases and intermediate stages of disease progression.<p> <p>Methods: We trained a recurrent neural network to predict murmurs from heart sound audio using annotated recordings ...
    • Marine Operations in Arctic conditions 

      Gudmestad, Ove Tobias; Døskeland, Øystein Husevåg (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Marine operations require careful early planning and thereafter detailed planning prior to project execution. The time from initiating an operation to finalization of the activity is typically several days. The activity can only be conducted during limited weather conditions. The planning prior to the offshore operations does, therefore, require accurate weather forecasting. The weather conditions ...
    • Federated Partially Supervised Learning With Limited Decentralized Medical Images 

      Dong, Nanqing; Kampffmeyer, Michael; Voiculescu, Irina; Xing, Eric (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-20)
      Data government has played an instrumental role in securing the privacy-critical infrastructure in the medical domain and has led to an increased need of federated learning (FL). While decentralization can limit the effectiveness of standard supervised learning, the impact of decentralization on partially supervised learning remains unclear. Besides, due to data scarcity, each client may have access ...
    • Strongly intermittent far scrape-off layer fluctuations in Alcator C-Mod plasmas close to the empirical discharge density limit 

      Ahmed, Sajidah; Garcia, Odd Erik; Q Kuang, Adam; LaBombard, Brian; L Terry, James; Theodorsen, Audun (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-07)
      Intermittent plasma fluctuations in the boundary region of the Alcator C-Mod device were comprehensively investigated using data time-series from gas puff imaging and mirror Langmuir probe diagnostics. Fluctuations were sampled during stationary plasma conditions in ohmically heated, lower single null diverted configurations with scans in both line-averaged density and plasma current, with Greenwald ...
    • On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering 

      Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-22)
      Self-supervised learning is a central component in recent approaches to deep multi-view clustering (MVC). However, we find large variations in the development of self-supervision-based methods for deep MVC, potentially slowing the progress of the field. To address this, we present Deep-MVC, a unified framework for deep MVC that includes many recent methods as instances. We leverage our framework to ...