Now showing items 1-20 of 763

    • Towards stronger Lagrangean bounds for stable spanning trees 

      Dias, Phillippe Samer Lallo; Haugland, Dag (Chapter, 2022)
      Given a graph G=(V,E) and a set C of unordered pairs of edges regarded as being in conflict, a stable spanning tree in G is a set of edges T inducing a spanning tree in G, such that for each {e_i, e_j} in C, at most one ...
    • BioSimulators: a central registry of simulation engines and services for recommending specific tools 

      Shaikh, Bilal; Smith, Lucian P; Vasilescu, Dan; Marupilla, Gnaneswara; Wilson, Michael; Agmon, Eran; Agnew, Henry; Andrews, Steven S; Anwar, Azraf; Beber, Moritz E; Bergmann, Frank T; Brooks, David; Brusch, Lutz; Calzone, Laurence; Choi, Kiri; Cooper, Joshua; Detloff, John; Drawert, Brian; Dumontier, Michel; Ermentrout, G Bard; Faeder, James R; Freiburger, Andrew P; Fröhlich, Fabian; Funahashi, Akira; Garny, Alan; Gennari, John H; Gleeson, Padraig; Goelzer, Anne; Haiman, Zachary; Hasenauer, Jan; Hellerstein, Joseph L; Hermjakob, Henning; Hoops, Stefan; Ison, Jon C; Jahn, Diego; Jakubowski, Henry V; Jordan, Ryann; Kalaš, Matúš; König, Matthias; Liebermeister, Wolfram; Sheriff, Rahuman S. Malik; Mandal, Synchon; McDougal, Robert; Medley, J Kyle; Mendes, Pedro; Müller, Robert; Myers, Chris J; Naldi, Aurelien; Nguyen, Tung V. N; Nickerson, David P; Olivier, Brett G; Patoliya, Drashti; Paulevé, Loïc; Petzold, Linda R; Priya, Ankita; Rampadarath, Anand K; Rohwer, Johann M; Saglam, Ali S; Singh, Dilawar; Sinha, Ankur; Snoep, Jacky; Sorby, Hugh; Spangler, Ryan; Starruß, Jörn; Thomas, Payton J; Van Niekerk, David; Weindl, Daniel; Zhang, Fengkai; Zhukova, Anna; Goldberg, Arthur P; Schaff, James C; Blinov, Michael L; Sauro, Herbert M; Moraru, Ion I; Karr, Jonathan R (Journal article; Peer reviewed, 2022)
      Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for ...
    • Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis 

      Straume, Hans-Martin; Asche, Frank; Oglend, Atle; Abrahamsen, Eirik Bjorheim; Birkenbach, Anna M.; Langguth, Johannes; Lanquepin, Guillaume; Roll, Kristin Helen (Journal article; Peer reviewed, 2022)
      A rapidly growing literature investigates how the recent Covid-19 pandemic has affected international seafood trade along multiple dimensions, creating opportunities as well as challenges. This suggests that many of the ...
    • From Molecules to the Masses : Visual Exploration, Analysis, and Communication of Human Physiology 

      Garrison, Laura (Doctoral thesis, 2022-09-16)
      Det overordnede målet med denne avhandlingen er tverrfaglig anvendelse av medisinske illustrasjons- og visualiseringsteknikker for å utforske, analysere og formidle aspekter ved fysiologi til publikum med ulik faglig nivå ...
    • VR supported self-help treatment for adolescents with psychosis 

      Pasiak, Jaroslaw; Pasiak, Wojciech (Master thesis, 2022-06-01)
      Psychosis is a severe psychological condition that affects some people, including adolescents. Unfortunately, treating psychosis and psychotic disorders takes a long time. Cognitive Behavioral Therapy (CBT) and CBT for ...
    • eQTLs as causal instruments for the reconstruction of hormone linked gene networks 

      Bankier, Sean Alexander; Michoel, Tom (Journal article; Peer reviewed, 2022)
      Hormones act within in highly dynamic systems and much of the phenotypic response to variation in hormone levels is mediated by changes in gene expression. The increase in the number and power of large genetic association ...
    • Straggler-Resilient Distributed Computing 

      Severinson, Lars Albin (Doctoral thesis, 2022-09-09)
      Utbredelsen av distribuerte datasystemer har økt betydelig de siste årene. Dette skyldes først og fremst at behovet for beregningskraft øker raskere enn hastigheten til en enkelt datamaskin, slik at vi må bruke flere ...
    • Scaling Up Medical Visualization : Multi-Modal, Multi-Patient, and Multi-Audience Approaches for Medical Data Exploration, Analysis and Communication 

      Mörth, Eric (Doctoral thesis, 2022-09-02)
      Medisinsk visualisering er en av de mest applikasjonsrettede områdene av visualiseringsforsking. Tett samarbeid med medisinske eksperter er nødvendig for å tolke medisinsk bildedata og lage betydningsfulle visualiseringsteknikker ...
    • Notes on Lattice-Based Cryptography 

      Budroni, Alessandro (Doctoral thesis, 2022-09-06)
      Asymmetrisk kryptering er avhengig av antakelsen om at noen beregningsproblemer er vanskelige å løse. I 1994 viste Peter Shor at de to mest brukte beregningsproblemene, nemlig det diskrete logaritmeproblemet og ...
    • Longitudinal visualization for exploratory analysis of multiple sclerosis lesions 

      Sugathan, Sherin; Bartsch, Hauke; Riemer, Frank; Grüner, Eli Renate; Lawonn, Kai; Smit, Noeska Natasja (Journal article; Peer reviewed, 2022)
      In multiple sclerosis (MS), the amount of brain damage, anatomical location, shape, and changes are important aspects that help medical researchers and clinicians to understand the temporal patterns of the disease. Interactive ...
    • DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images 

      Politikos, Dimitris V.; Sykiniotis, Nikolaos; Petasis, Georgios; Dedousis, Pavlos; Ordonez, Alba; Vabø, Rune; Anastasopoulou, Aikaterini; Moen, Endre; Mytilineou, Chryssi; Salberg, Arnt-Børre; Chatzispyrou, Archontia; Malde, Ketil (Journal article; Peer reviewed, 2022-05-29)
      Every year, marine scientists around the world read thousands of otolith or scale images to determine the age structure of commercial fish stocks. This knowledge is important for fisheries and conservation management. ...
    • Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders 

      Malik, Muhammad Ammar; Michoel, Tom (Journal article; Peer reviewed, 2022)
      Random effects models are popular statistical models for detecting and correcting spurious sample correlations due to hidden confounders in genome-wide gene expression data. In applications where some confounding factors ...
    • Machine learning approaches for high-dimensional genome-wide association studies 

      Malik, Muhammad Ammar (Doctoral thesis, 2022-08-24)
      Formålet med Genome-wide association studies (GWAS) er å finne statistiske sammenhenger mellom genetiske varianter og egenskaper av interesser. De genetiske variantene som forklarer mye av variasjonene i genomfattende ...
    • On the Sombor characteristic polynomial and Sombor energy of a graph 

      Ghanbari, Nima (Journal article; Peer reviewed, 2022)
      Let G be a simple graph with vertex set V(G)={v1,v2,…,vn}. The Sombor matrix of G, denoted by ASO(G), is defined as the n×n matrix whose (i, j)-entry is d2i+d2j−−−−−−√ if vi and vj are adjacent and 0 for another cases. Let ...
    • Introduction to total dominator edge chromatic number 

      Alikhani, Saeid; Ghanbari, Nima (Journal article, 2022)
      We introduce the total dominator edge chromatic number of a graph G. A total dominator edge coloring (briefly TDE-coloring) of G is a proper edge coloring of G in which each edge of the graph is adjacent to every edge of ...
    • Mind Your Outcomes: The ∆QSD Paradigm for Quality-Centric Systems Development and Its Application to a Blockchain Case Study 

      Haeri, Seyed Hossein; Thompson, Peter; Davies, Neil; Van Roy, Peter; Hammond, Kevin; Chapman, James (Journal article; Peer reviewed, 2022)
      This paper directly addresses a long-standing issue that affects the development of many complex distributed software systems: how to establish quickly, cheaply, and reliably whether they can deliver their intended performance ...
    • Hormonal regulation of ovarian follicle growth in humans: Model-based exploration of cycle variability and parameter sensitivities 

      Fischer-Holzhausen, Sophie; Röblitz, Susanna (Journal article; Peer reviewed, 2022)
      We present a modelling and simulation framework for the dynamics of ovarian follicles and key hormones along the hypothalamic-pituitary–gonadal axis throughout consecutive human menstrual cycles. All simulation results ...
    • A number theoretic view on binary shift registers 

      Petrides, George (Journal article; Peer reviewed, 2022)
      We describe a number theoretic view on binary shift registers. We illustrate this approach on some basic shift registers by revisiting known and obtaining new results, which we prove using tools from basic number theory, ...
    • Deep Learning Methods for Automated Classification of Fish Behavior 

      Madslien, Mathias Larsson (Master thesis, 2022-06-01)
    • Algorithms for rainbow vertex colouring diametral path graphs 

      Dyrseth, Jakob (Master thesis, 2022-06-01)