The position of young adults on the Amsterdam housing market: How to better connect system world and life world?

In recent years, the housing market of Amsterdam, traditionally known for its large share of social rental dwellings, experienced a trend of commodification and financialization. Due to its central position and good facilities, the Dutch capital has become very popular among both home seekers and investors.

Energy poverty alleviation in social housing: Prototyping policies with practitioners

The European energy crisis of 2022 stresses the importance of protecting the most vulnerable households. Price peaks disproportionally affect households with low incomes, limited savings, and inefficient homes, and increased energy poverty: the inability to secure sufficient domestic energy services that allow for participation in society ...

Developing a long-term management strategy to prepare the Dutch coast for the future, editorial of the VSI future Dutch coast

Woningbouw op veehouderijlocaties: een goed idee

Van bruin naar rood: het bouwen van woningen op veehouderijlocaties vormt een uitweg uit de stikstofproblematiek die Nederland in de greep houdt. Uiteraard is deze stap complex en gevoelig, maar op bepaalde locaties is het toch heel goed mogelijk. TU Delft-afstudeerder Samuel Orobio de Castro deed onderzoek naar de kansen en randvoorwaarden, met...

Understanding physical distancing compliance behaviour using proximity and survey data: A case study in the Netherlands during the COVID-19 pandemic

Physical distancing has been an important asset in limiting the SARS-CoV-2 virus spread during the COVID-19 pandemic. This study aims to assess compliance with physical distancing and to evaluate the combination of observed and self-reported data used. This research shows that it is difficult to operationalize new rules, that context affects...

Distinct spatiotemporal dynamics of CD8⁺ T cell-derived cytokines in the tumor microenvironment

Cells in the tumor microenvironment (TME) influence each other through secretion and sensing of soluble mediators, such as cytokines and chemokines. While signaling of interferon γ (IFNγ) and tumor necrosis factor α (TNFα) is integral to anti-tumor immune responses, our understanding of the spatiotemporal behavior of these cytokines is...

Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones

Conventional Air Traffic Control is still predominantly being done by human Air Traffic Controllers, however, as the traffic density increases, the workload of the controllers increases as well. Especially for the area of unmanned aviation, driven by the rise in drones, having human controllers might become unfeasible. One of the methods that...

Aircraft Cruise Alternative Trajectories Generation: A Mixed RRG-Clustering Approach

Weather obstacles in the airspace can interfere with an aircraft’s flight plan. Pilots, assisted by air traffic controllers (ATCs), perform avoidance maneuvers that can be optimized. This paper addresses the generation of alternative aircraft trajectories to resolve unexpected events. The authors propose a solution based on the RRG algorithm,...

Network Robustness Improvement Based on Alternative Paths Consideration

Many transportation networks have complex infrastructures (road, rail, airspace, etc.). The quality of service in air transportation depends on weather conditions. Technical failures of the aircraft, bad weather conditions, strike of the company’s staff cause delays and disrupt traffic. How can the robustness of such networks be improved?...

Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon

Introduction<br/>Schistosomiasis is a significant public health concern, especially in Sub-Saharan Africa. Conventional microscopy is the standard diagnostic method in resource-limited settings, but with limitations, such as the need for expert microscopists. An automated digital microscope with artificial intelligence (Schistoscope), offers a...

Large-scale dose evaluation of deep learning organ contours in head-and-neck radiotherapy by leveraging existing plans

Background and purpose: Retrospective dose evaluation for organ-at-risk auto-contours has previously used small cohorts due to additional manual effort required for treatment planning on auto-contours. We aimed to do this at large scale, by a) proposing and assessing an automated plan optimization workflow that used existing clinical plan...