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Utrecht University Repository: Recent submissions

  • Well-Being of Public Servants Under Pressure: The Roles of Job Demands and Personality Traits in the Health-Impairment Process 
    Borst, R.T.; Knies, Eva (SAGE Publications Inc., 2023-03)
    The health-impairment process from job demands to lower well-being among public servants is still understudied. This article therefore uses the Job Demands-Resources model and answers the following question: What is the ...
  • The agency of computer vision models as optical instruments 
    Smits, Thomas; Wevers, Melvin (SAGE Publications Ltd, 2022-05)
    Industry and governments have deployed computer vision models to make high-stake decisions in society. While they are often presented as neutral and objective, scholars have recognized that bias in these models might lead ...
  • Cochlear apical morphology in toothed whales: Using the pairing hair cell-Deiters' cell as a marker to detect lesions 
    Morell, Maria; IJsseldijk, Lonneke L; Piscitelli-Doshkov, Marina; Ostertag, Sonja; Estrade, Vanessa; Haulena, Martin; Doshkov, Paul; Bourien, Jérôme; Raverty, Stephen A; Siebert, Ursula; Puel, Jean-Luc; Shadwick, Robert E (John Wiley and Sons Inc., 2022-03)
    The apex or apical region of the cochlear spiral within the inner ear encodes for low-frequency sounds. The disposition of sensory hair cells on the organ of Corti is largely variable in the apical region of mammals, and ...
  • The Sum of All Fears: Comparing Networks Based on Symptom Sum-Scores. 
    Haslbeck, Jonas; Ryan, O.; Dablander, Fabian (NLM (Medline), 2022)
    Researchers are often interested in comparing statistical network models estimated across groups that are defined by the sum-score of the modeled variables. A prominent example is an analysis that compares networks of ...
  • Parameterized Complexity of Binary CSP: Vertex Cover, Treedepth, and Related Parameters 
    Bodlaender, Hans L.; Groenland, Carla; Pilipczuk, Michał (Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2023-07)
    We investigate the parameterized complexity of Binary CSP parameterized by the vertex cover number and the treedepth of the constraint graph, as well as by a selection of related modulator-based parameters. The main findings ...
  • Dynamic tracing of sugar metabolism reveals the mechanisms of action of synthetic sugar analogs 
    Scherpenzeel, Monique; Conte, Federica; Büll, Christian; Ashikov, Angel; Hermans, Esther; Willems, Anke; Tol, Walinka; Kragt, Else; Noga, Marek; Moret, Ed E; Heise, Torben; Langereis, Jeroen D; Rossing, Emiel; Zimmermann, Michael; Rubio-Gozalbo, M Estela; de Jonge, Marien I; Adema, Gosse J; Zamboni, Nicola; Boltje, Thomas; Lefeber, Dirk J (Oxford University Press, 2022-03)
    Synthetic sugar analogs are widely applied in metabolic oligosaccharide engineering (MOE) and as novel drugs to interfere with glycoconjugate biosynthesis. However, mechanistic insights on their exact cellular metabolism ...
  • SCFormer: Integrating hybrid Features in Vision Transformers 
    Lu, Hui; Poppe, Ronald; Salah, Albert (IEEE, 2023)
    Hybrid modules that combine self-attention and convolution operations can benefit from the advantages of both, and consequently achieve higher performance than either operation alone. However, current hybrid modules do not ...
  • Incidence, prevalence and disability associated with neurological disorders in Italy between 1990 and 2019: an analysis based on the Global Burden of Disease Study 2019 
    Raggi, Alberto; Monasta, Lorenzo; Beghi, Ettore; Caso, Valeria; Castelpietra, Giulio; Mondello, Stefania; Giussani, Giorgia; Logroscino, Giancarlo; Magnani, Francesca Giulia; Piccininni, Marco; Pupillo, Elisabetta; Ricci, Stefano; Ronfani, Luca; Santalucia, Paola; Sattin, Davide; Schiavolin, Silvia; Toppo, Claudia; Traini, Eugenio; Steinmetz, Jaimie; Nichols, Emma; Ma, Rui; Vos, Theo; Feigin, Valery; Leonardi, Matilde (Steinkopff Verlag Darmstadt, 2022)
    BACKGROUND: Neurological conditions are highly prevalent and disabling, in particular in the elderly. The Italian population has witnessed sharp ageing and we can thus expect a rising trend in the incidence, prevalence and ...
  • PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems 
    Di Scala, Daan; Yolum, Pinar (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2023)
    Content in collaborative systems, such as Online Social Networks, is often co-owned by multiple users with different privacy expectations, leading to possible multiuser privacy conflicts. In order to address these conflicts, ...
  • Scheduling Electric Buses with Stochastic Driving Times 
    de Bruin, Philip; van den Akker, Marjan; Hoogeveen, Han; van Kooten Niekerk, Marcel (Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 2023-09)
    To try to make the world more sustainable and reduce air pollution, diesel buses are being replaced with electric buses. This leads to challenges in scheduling, as electric buses need recharging during the day. Moreover, ...
  • On the effectiveness of automated tracing from model changes to project issues 
    van Oosten, Wouter; Rasiman, Randell; Dalpiaz, Fabiano; Hurkmans, Toine (Elsevier, 2023-08)
    Context: Requirements Traceability (RT) is concerned with monitoring and documenting the lifecycle of requirements. Although researchers have proposed several automated tracing tools, trace link establishment and maintenance ...
  • Navigating Interactive Story Spaces: The Architecture of Interactive Narratives in Online Journalism 
    Van der Nat, Renée; Müller, E.; Bakker, Piet (Taylor and Francis Ltd., 2023)
    Over the past decade, journalists have created in-depth interactive narratives to provide an alternative to the relentless 24- hour news cycle. Combining different media forms, such as text, audio, video, and data visualisation ...
  • MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets 
    Kuang, Sheng; Woodruff, Henry C.; Granzier, Renee; van Nijnatten, Thiemo J.A.; Lobbes, Marc B.I.; Smidt, Marjolein L.; Lambin, Philippe; Mehrkanoon, Siamak (Elsevier Limited, 2023-08)
    Deep learning (DL) applied to breast tissue segmentation in magnetic resonance imaging (MRI) has received increased attention in the last decade, however, the domain shift which arises from different vendors, acquisition ...
  • Commuting to the future: Assessing the relationship between individuals’ usage of information and communications technology, personal attitudes, characteristics and mode choice 
    van Lierop, Dea; Bahamonde-Birke, Francisco J. (Kluwer Academic Publishers, 2023-06)
    Innovations in transportation and communications technologies influence the development of cities and how people move through them. Since the widespread adoption of smartphones, mobility and information and communication ...
  • Targeted exhaled breath analysis for detection of Pseudomonas aeruginosa in cystic fibrosis patients 
    Amsterdam Mucociliary Clearance Disease (AMCD) Research Group and the Amsterdam UMC Breath Research Group (Elsevier bedrijfsinformatie b.v., 2022-01)
    Background: Pseudomonas aeruginosa (PA) is an important respiratory pathogen for cystic fibrosis (CF) patients. Routine microbiology surveillance is time-consuming, and is best performed on expectorated sputum. As alternative, ...
  • Modelling Student Knowledge in Blended Learning 
    Hamzah, Almed; Sosnovsky, Sergey (Association for Computing Machinery, 2023-06-26)
    Blended learning offers a diverse learning experience through multiple activities inside and outside the classroom, which can improve student knowledge, as there are multiple opportunities for learning. However, managing ...
  • Modeling Emotion Dynamics in Song Lyrics with State Space Models 
    Song, Yingjin (Association for Computational Linguistics, 2023-02-14)
    Most previous work in music emotion recognition assumes a single or a few song-level labels for the whole song. While it is known that different emotions can vary in intensity within a song, annotated data for this setup ...
  • Dual-contrast computed tomography enables detection of equine posttraumatic osteoarthritis in vitro 
    Saukko, Annina E.A.; Sarin, Jaakko K.; Nykänen, Olli; Nissi, Mikko J.; te Moller, Nikae C.R.; Weinans, Harrie; Mancini, Irina A.D.; Visser, Jetze; Brommer, Harold; van Weeren, P. Réné; Malda, Jos; Grinstaff, Mark W.; Töyräs, Juha (John Wiley and Sons Inc., 2022-03)
    To prevent the progression of posttraumatic osteoarthritis, assessment of cartilage composition is critical for effective treatment planning. Posttraumatic changes include proteoglycan (PG) loss and elevated water content. ...
  • Input Perturbation Reduces Exposure Bias in Diffusion Models 
    Ning, Mang; Sangineto, Enver; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (2023-06-18)
    Denoising Diffusion Probabilistic Models have shown an impressive generation quality although their long sampling chain leads to high computational costs. In this paper, we observe that a long sampling chain also leads to ...
  • Different urban settings affect multi-dimensional tourist-resident interactions 
    Su, Xing; Spierings, Bas; Hooimeijer, Pieter (Routledge, 2022)
    City centre areas of many tourism destinations are increasingly overcrowding but two tourism development trends are to some extent counterbalancing the crowding phenomenon. Firstly, the decentralisation of tourists aiming ...