• Mobile Journalists as Tracable Data Objects: Surveillance Capitalism and Responsible Innovation in Mobile Journalism 

      Salzmann, Anja; Guribye, Frode; Gynnild, Astrid (Journal article; Peer reviewed, 2021)
      This article discusses how Shosana Zuboff’s critical theory of surveillance capitalism may help to understand and underpin responsible practice and innovation in mobile journalism. Zuboff conceptualizes surveillance ...
    • Mobile-assisted language learning through learning analytics for self-regulated learning (MALLAS): A conceptual framework 

      Viberg, Olga; Wasson, Barbara; Kukulska-Hulme, Agnes (Journal article; Peer reviewed, 2020)
      Many adult second and foreign language learners have insufficient opportunities to engage in language learning. However, their successful acquisition of a target language is critical for various reasons, including their ...
    • Mobility dynamics within the settlement phase of Syrian refugees in Norway and The Netherlands 

      van Liempt, Ilse; Bygnes, Susanne (Journal article; Peer reviewed, 2022)
      This paper sets out to investigate the forced and voluntary (im)mobility of Syrians who recently moved to Europe and are in the transition from asylum to settlement. We conceptualise ‘settlement’ for this group as a dynamic ...
    • Mobility restrictions were associated with reductions in COVID-19 incidence early in the pandemic: evidence from a real-time evaluation in 34 countries 

      Oh, Juhwan; Lee, Hwa-Young; Khuong, Quynh Long; Markuns, Jeffrey F.; Bullen, Chris; Barrios, Osvaldo Enrique Artaza; Hwang, Seung-sik; Suh, Young Sahng; McCool, Judith; Kachur, S. Patrick; Chan, Chang-Chuan; Kwon, Soonman; Kondo, Naoki; Hoang, Van Minh; Moon, J. Robin; Rostila, Mikael; Norheim, Ole Frithjof; You, Myoungsoon; Withers, Mellissa; Li, Mu; Lee, Eun-Jeung; Benski, Caroline; Park, Sookyung; Nam, Eun-Woo; Gottschalk, Katie; Kavanagh, Matthew M.; Tran, Thi Giang Huong; Lee, Jong-Koo; Subramanian, S.V.; McKee, Martin; Gostin, Lawrence (Journal article; Peer reviewed, 2021)
      Most countries have implemented restrictions on mobility to prevent the spread of Coronavirus disease-19 (COVID-19), entailing considerable societal costs but, at least initially, based on limited evidence of effectiveness. ...
    • MOCCA: a fexible suite for modelling DNA sequence motif occurrence combinatorics 

      Bredesen, Bjørn André; Rehmsmeier, Marc (Journal article; Peer reviewed, 2021)
      Background Cis-regulatory elements (CREs) are DNA sequence segments that regulate gene expression. Among CREs are promoters, enhancers, Boundary Elements (BEs) and Polycomb Response Elements (PREs), all of which are ...
    • A Modal Logic for Supervised Learning 

      Baltag, Alexandru; Li, Dazhu; Pedersen, Mina Young (Journal article; Peer reviewed, 2022)
      Formal learning theory formalizes the process of inferring a general result from examples, as in the case of inferring grammars from sentences when learning a language. In this work, we develop a general framework—the ...
    • Modal Logics and Group Polarization 

      Pedersen, Mina Young; Smets, Sonja; Ågotnes, Thomas (Journal article; Peer reviewed, 2021)
      This paper proposes different ways of modally defining properties related to the concept of balance in signed social networks where relations can be either positive or negative. The motivation is to be able to formally ...
    • A Model Based Slicing Technique for Process Mining Healthcare Information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Chapter, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...
    • A model based slicing technique for process mining healthcare information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Journal article; Peer reviewed, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...
    • Model of mesopelagic fish predation on eggs and larvae shows benefits of tuna spawning under full moon 

      Ottmann, Daniel; Langbehn, Tom; Reglero, Patricia; Alvarez-Berastegui, Diego; Fiksen, Øyvind (Journal article; Peer reviewed, 2023)
      Most mesopelagic fish are small planktivores that migrate up at nightfall to feed in the safety of darkness and descend to depth at dawn to escape visual predators. However, the trophic roles can reverse since mesopelagic ...
    • Model-based clustering of multi-tissue gene expression data 

      Erola, Pau; Björkegren, Johan L.M.; Michoel, Tom Luk Robert (Journal article; Peer reviewed, 2020)
      Motivation Recently, it has become feasible to generate large-scale, multi-tissue gene expression data, where expression profiles are obtained from multiple tissues or organs sampled from dozens to hundreds of individuals. ...
    • Model-based exploration of hypokalemia in dairy cows 

      Plöntzke, Julia; Berg, Mascha; Ehrig, Rainald; Leonhard-Marek, Sabine; Müller, Kerstin Elisabeth; Röblitz, Susanna (Journal article; Peer reviewed, 2022)
      Hypokalemia in dairy cows, which is characterized by too low serum potassium levels, is a severe mineral disorder that can be life threatening. In this paper, we explore different originating conditions of hypokalemia—reduced ...
    • Model-Driven Automatic Question Generation for a Gamified Clinical Guideline Training System 

      Nyameino, Job Nyangena; Ebbesvik, Ben-Richard Sletten; Rabbi, Fazle; Were, Martin C.; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Clinical practice guidelines (CPGs) are a cornerstone of modern medical practice since they summarize the vast medical literature and provide care recommendations based on the current best evidence. However, there are ...
    • Model-informed classification of broadband acoustic backscatter from zooplankton in an in situ mesocosm 

      Dunn, Muriel Barbara; McGowan-Yallop, Chelsey; Pedersen, Geir; Falk-Petersen, Stig; Daase, Malin Hildegard Elisabeth; Last, Kim; Langbehn, Tom; Fielding, Sophie; Brierley, Andrew S.; Cottier, Finlo Robert; Basedow, Sünnje Linnéa; Camus, Lionel; Geoffroy, Maxime (Journal article; Peer reviewed, 2023)
      Classification of zooplankton to species with broadband echosounder data could increase the taxonomic resolution of acoustic surveys and reduce the dependence on net and trawl samples for ‘ground truthing’. Supervised ...
    • Model-simulated hydroclimate in the East Asian summer monsoon region during past and future climate: a pilot study with a moisture source perspective 

      Fremme, Astrid Kristine; Hezel, Paul; Seland, Øyvind; Sodemann, Harald (Journal article; Peer reviewed, 2023)
      Here we present a pilot study of the sensitivity of summer monsoon precipitation in the Yangtze River Valley (YRV; 110–122∘ E and 27–33∘ N, eastern China) to climatic boundary conditions from the Last Glacial Maximum (LGM), ...
    • Modeling a 3-D multiscale blood-flow and heat-transfer framework for realistic vascular systems 

      Amare, Rohan; Hodneland, Erlend; Roberts, Jeremy A.; Bahadori, Amir A.; Eckels, Steven (Journal article; Peer reviewed, 2022)
      Modeling of biological domains and simulation of biophysical processes occurring in them can help inform medical procedures. However, when considering complex domains such as large regions of the human body, the complexities ...
    • Modeling and discretization of flow in porous media with thin, full-tensor permeability inclusions 

      Starnoni, Michele; Berre, Inga; Keilegavlen, Eirik; Nordbotten, Jan Martin (Journal article; Peer reviewed, 2021)
      When modeling fluid flow in fractured reservoirs, it is common to represent the fractures as lower-dimensional inclusions embedded in the host medium. Existing discretizations of flow in porous media with thin inclusions ...
    • Modeling and simulating the sample complexity of solving LWE using BKW-style algorithms 

      Guo, Qian; Mårtensson, Erik Axel Fredrik; Stankovski Wagner, Paul (Journal article; Peer reviewed, 2022)
      The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance in post-quantum cryptography. Among its solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, ...
    • Modeling assortative mating and genetic similarities between partners, siblings, and in-laws 

      Torvik, Fartein Ask; Eilertsen, Espen Moen; Hannigan, Laurie J.; Cheesman, Rosa; Howe, Laurence J.; Magnus, Per Minor; Reichborn-Kjennerud, Ted; Andreassen, Ole A.; Njølstad, Pål Rasmus; Havdahl, Alexandra; Ystrøm, Eivind (Journal article; Peer reviewed, 2022)
      Assortative mating on heritable traits can have implications for the genetic resemblance between siblings and in-laws in succeeding generations. We studied polygenic scores and phenotypic data from pairs of partners ...
    • Modeling Coupled Nonlinear Multilayered Dynamics: Cyber Attack and Disruption of an Electric Grid 

      Mangel, Marc; McEver, Jimmie (Journal article; Peer reviewed, 2021)
      We study the consequences of cyberattack, defense, and recovery in systems for which a physical system is enabled by a cyber system by extending previous applications of models from the population biology of disease to the ...