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Evaluatie van process mining modellen vanuit een cognitive perspectief
No full textIk wens mijn poster nog niet te uploaden, ik had gelezen dat dit optioneel was om samen met de masterproef door te sturen
Modeling the impact of strain on Group-IV color centers in diamond: A first principles study of the ZPL position.
No full textColor centers in diamond have a long history of interest, evolving from the quality of a prized gemstone to current day high-tech applications such as quantum information technology and nano-sensing.[1] Over time, hundreds of color centers have experimentally been identified, however, only few have been fully and decisively structurally characterized.[2] For high-tech applications, the group-IV color centers have gained interest in recent years due to their excellent Debye-Waller factor, making them suitable for optically based quantum applications. In this work, we present a quantum mechanical study of the group-IV color centers in diamond. We investigate the impact of strain and defect concentration on the ZPL as these will help to elucidate the experimental observation of these ZPL in nanocrystalline diamond (NDC) films. Although the structure of these centers is well established (split-vacancy), the impact of strain and concentration is less clear. Color centers with concentrations of 1.5% down to 0.1% (64-1000 atom conventional cells) were modeled using Density Functional Theory using hybrid functionals.[3] At different concentrations the supercells are strained both isotropic and anisotropic to mimic the possible conditions in reality experienced in NDC films. The evolution of the color center related bands is traced as function of the strain, and ZPL and defect formation energy were determined for neutral and charged color centers. Combining all these results provides a clear picture of the relationship between the ZPL-position and lattice strain, which is essential for understanding the behavior under experimental conditions in NDC thin films. These results are then used to elucidate the experimentally observed distributions of ZPL lines for GeV and SnV systems.[3]
[1] V. Damle, et al., Carbon 162, 1-12 (2020),
[2] D.E.P. Vanpoucke, et al. Diam. Relat. Mater. 94, 233-241 (2019).
[3] T.G.I. van Wijk, et al., Carbon 234, 119928 (2025
Erector Spinae Plane Block versus Intercostal Nerve Blocks in Uniportal Videoscopic-assisted Thoracic Surgery: A Multicenter, Double-blind, Prospective Randomized Placebo-controlled Trial
No full textBackground:Although intercostal nerve blocks are sometimes approached with caution due to concerns about potentially high local anesthetic uptake, they remain a valuable tool in specific clinical situations. On the other hand, the erector spinae plane block is currently often favored for its broader coverage and versatility. The hypothesis was that the intercostal nerve block, applied directly by surgeons under direct vision in patients undergoing uniportal video-assisted thoracoscopic surgery, might offer superior analgesia and fewer complications compared to the erector spinae plane block.Methods:In this multicenter, double-blind, placebo-controlled randomized trial, 100 patients undergoing uniportal thoracoscopic surgery (wedge excision or lobectomy) within an enhanced recovery program received either a surgical intercostal nerve block under thoracoscopic guidance or an ultrasound-guided erector spinae plane block, followed by 30 ml ropivacaine 0.5% (n = 50) or saline (n = 50). The primary outcome measured was 12-h morphine consumption postextubation. Secondary outcomes included 24-h morphine use, pain severity, rescue analgesia need, postoperative complications, and length of stay. Plasma levels of local anesthetics were also assessed.Results:The intercostal nerve block group had significantly lower mean 12-h morphine consumption compared to the erector spinae plane block group (10.9 mg vs. 17.6 mg; P = 0.0015), as well as lower mean 24-h consumption (18.7 mg vs. 26.7 mg; P = 0.018). Intercostal blocks also led to lower pain scores in the first 2 h postoperatively and a reduced need for rescue analgesia (16% vs. 40%; P = 0.0033). No differences were found in patient satisfaction, complications, or length of stay. Notably, the erector spinae plane block group showed higher systemic absorption of local anesthetics.Conclusions:For uniportal thoracoscopic surgery, intercostal nerve block significantly reduces morphine consumption and systemic anesthetic absorption compared to erector spinae plane block
The Impact of Valve Stenosis and Replacement on Wave Characteristics in Cardiac Shear Wave Elastography
No full textCardiac shear wave elastography (SWE) is a non-invasive technique to assess myocardial stiffness, based on the speed of waves that travel through the heart after valve closure. The wave physics underlying natural SWE remains incompletely understood. Therefore, we investigated the impact of wave excitation sources on 3 wave propagation aspects – wave amplitude (determined as wave acceleration magnitude), temporal wave width and speed. SWE was applied to 17 patients with aortic stenosis (AS), 13 AS patients that underwent transcatheter aortic valve implantation (TAVI), 10 AS patients that underwent surgical aortic valve replacement (AVR) and 18 age-matched healthy volunteers (HV). Absolute wave acceleration was lower in AS, TAVI and AVR patients compared to HV (1.5±0.60 vs 2.8±1.1 m/s2; p=0.001; 1.6±0.78 vs 2.8±1.1 m/s2; p=0.010; 1.7±0.66 vs 2.8±1.1 m/s2; p=0.015). Wave acceleration amplitude (measured as negative peak acceleration of the tissue) correlated with wave speed (r=0.388; p=0.003), implying that absolute wave acceleration is smaller in a stiffer heart. Subgroup analysis showed that the correlation between wave peak acceleration and speed is less steep in AS patients vs. HV (slopes: 0.23 vs 0.47 s). This implies that stenotic valves generate a wave with a lower acceleration magnitude compared to native valves. Further, temporal wave width was lower in TAVI patients vs. HV (8.7±2.3 vs 12.5±3.0 ms; p=0.002) and there was no difference in wave speed after aortic valve closure (AVC) between the groups. To conclude, wave acceleration magnitude and width offer additional insights into SWE physics next to wave speed and should be verified in a larger cohort
Conceptualizing work organization patterns: a scoping review and a taxonomy
No full textZorgsystemen staan onder toenemende druk door vergrijzing, de stijgende prevalentie van chronische aandoeningen en personeelstekorten. Dit beïnvloedt de dagelijkse werking van zorgorganisaties. Hoewel terugkerende patronen in werkorganisatie (WOP) waarneembaar zijn, bestaat er geen taxonomie om deze patronen systematisch in te delen. Zo'n taxonomie kan zorgorganisaties ondersteunen om een gestructureerde analyse van WOP mogelijk te maken. Deze studie ontwikkelde daarom een taxonomie om WOPs in te delen. Een tweeledige aanpak werd gehanteerd. Eerst werd een scoping review uitgevoerd naar studies die WOPs empirisch onderzochten (2020-2025) in Scopus, Web of Science en ProQuest Central wat leidde tot 35 relevante studies en 134 WOPs. Vervolgens werd een inductieve qualitatieve content analyse uitgevoerd. WOPs werden gecodeerd, gegroepeerd en geabstraheerd tot een gestructureerde taxonomie. De finale taxonomie omvat drie groepen aan categorieën: Structurering van werk, Ondersteunend mechanismen en Adaptieve praktijken. Deze groepen omvatten 10 categorieën en 27 subcategorieën uit onder andere de zorgsector, het onderwijs en het bedrijfsleven. De taxonomie biedt op deze manier een classificatie systeem en gedeelde taal aan onderzoekers en zorgorganisaties die hun werkprocessen willen analyseren en de link willen leggen met zorgkwaliteit, efficiëntie en veerkracht. Als 'levend' instrument is de taxonomie ontworpen om verder te verfijnen via empirische validatie zodat impliciete WOPs expliciet en evalueerbaar gemaakt kunnen worden
De carrièreambities en werkervaringen van studenten en (jong)volwassenen met dyscalculie
No full textStorage Allocation of Perishable Products in Warehouses
No full textThe growing complexity of e-commerce fulfillment has amplified the importance of storage location assignment (SLA) in warehouses, where order-picking is the most resource-intensive activity. While turnover-based, correlated, and scattered storage strategies are well-established, existing approaches typically rely on adopting one strategy in isolation or combine them by using subjective parameter tuning, limiting their adaptability to dynamic operating contexts. For the first part of this PhD, we introduce a data-driven framework that balances these basic SLA strategies according to customer order patterns. First, novel analytical measures are developed to quantify the degree to which each basic SLA principle is realized. Second, a weighting scheme derived from historical order data is proposed to enable context-specific adaptation without decision-maker intervention. These measures and dynamic weights are then integrated into a new multi-objective mathematical model that assigns items to storage locations, taking existing inventory into account. The model is validated in an autonomous mobile robot–assisted order picking system using a factorial experiment across multiple operating contexts. Results demonstrate that the proposed balanced SLA approach significantly outperforms basic strategies by reducing picker travel distance and mitigating order-line splitting.
For the second part, we aim to enrich our study on SLA with a specific business context, that is the SLA of fruits and vegetables in a retail setting. This selection is based on three reasons: (a) retail and consumption have the largest share of food waste; (b) food retailers are the largest commercial users of refrigeration, accounting for 30% of the food sector’s electricity consumption; and (c) lower storage temperatures often extend shelf life but at the expense of higher energy consumption. Therefore, our goal is to propose an SLA approach that not only reduces food loss and energy consumption in a retailer’s warehouse, but also mitigates food loss further along the supply chain
The delayed acceptance of female research in economics
No full textWe explore gender differences in the time taken to accept empirical articles of economics research. On average, female-authored articles take 9 % longer to accept. This gender gap cannot be fully attributed to differences in author affiliation, research productivity, research quality and novelty. The gender composition of editorial boards does not affect acceptance time for female authors. Nevertheless, this gender gap narrows as female representation in an area of research deepens. We find evidence of sub-field differences in this gender gap, consistent with differences in social norms
At the Frontline of Healthcare: Understanding the Impact of Frontline Service Technologies
No full textFrontline service technology (FST), defined as any combination of hardware, software, information systems, and networks that facilitates value co-creation between a healthcare provider and healthcare customer by optimizing processes and outcomes across the healthcare frontline, is rapidly transforming the frontline of healthcare. These technologies hold significant potential to address the mounting challenges faced by the healthcare industry, yet they also reshape the roles and experiences of both healthcare customers and providers. Although research on FSTs is expanding, much of it lacks service-related insights. This dissertation broadens the lens through which FSTs are evaluated by investigating their effectiveness in reaching healthcare objectives and their impact on healthcare customers and providers, through a service-oriented lens. Each of the six chapters contributes to these objectives through distinct methodological approaches.
Chapter 1 outlines the transformation of the organizational frontline and introduces FSTs in the context of healthcare services. It also details the structure of the dissertation and its intended contributions. Chapter 2 investigates the effectiveness of FSTs in advancing the Quintuple Aim of healthcare: improving health outcomes, reducing costs of care, enhancing healthcare customer and provider experiences, and promoting health equity. A systematic literature review reveals that while FSTs improve health outcomes, reduce costs of care, and enhance healthcare customer experience, their impacts on provider experience and health equity are neglected. Existing research adopts a predominantly clinical lens, underutilizing service-related insights. The chapter concludes with a research agenda identifying five key areas where service researchers can contribute.
Chapters 3 and 4 shift the focus to the impacts on FST users. Grounded in the Job Demands–Resources (JD-R) theory, both chapters examine how FSTs reshape users’ roles by influencing the demands they encounter and the resources they can draw on. Chapter 3 uses a qualitative study to explore the bright and dark sides of FSTs. Two remote monitoring FSTs are studied: Pregnancy Remote Monitoring and Elderly Remote Monitoring, considering perspectives from both customers and providers. Findings reveal distinct role demands and role resources during FST usage, and psychological capital (PsyCap) emerges as a critical personal resource. The chapter emphasizes shared patterns and differences across user groups, highlighting the need for tailored support strategies.
Chapter 4 extends these insights through scenario-based studies that empirically test the JD-R theory. Using partial least squares structural equation modeling, it investigates how role demands, role resources, and PsyCap influence users’ well-being, satisfaction, and word-of-mouth intentions. The results show that PsyCap significantly enhances motivation, satisfaction, and word-of-mouth; role demands increase strain but have no impact on motivation; and role resources are strongly linked to key outcomes in several user groups. Furthermore, well-being emerges as a key driver of satisfaction and word-of-mouth.
Chapter 5 introduces WATCH (Well-Being Assessment of Technology Concerning Healthcare), a research-driven application developed to help organizations monitor and optimize the impact of FSTs. Drawing on Importance-Performance Analysis, the tool provides actionable insights for improving user well-being and organizational outcomes.
Chapter 6 concludes the dissertation by reflecting on key lessons, acknowledging limitations, and offering directions for future research