Expectations are high for digital technologies to address sustainability related challenges. While research into such applications and the twin transformation is growing rapidly, insights in the actual daily practices of digital sustainability within organizations is lacking. This is problematic as …

Sustainable Open Solutions Climate Waterfront is an interdisciplinary project that aims to explore waterfronts in Europe facing extreme situations under the threat of climate change, eg. heat, too much absent rain and sea level rise with all its consequences. The central goal is to exchange adaptive …

Deze e-learning gaat over het signaleren en ondersteunen van oudere migranten met vergeetachtigheid of dementie.

In opdracht van Appnormal is tijdens dit afstudeertraject onderzoek gedaan naar het verkrijgen van informatie uit het straatbeeld met behulp van point clouds en machine learning. Een point cloud is een verzameling van vaak honderdduizenden punten in een 3D ruimte. Deze point clouds kunnen een omgeving …

Rationale: Lean body mass, including muscle, is known to decrease with age, which may contribute to loss of physical function, an indicator of frailty. Moreover, low muscle thickness is considered an indicator of frailty in critically ill patients. However, little is known about the relationship between …

The present study focuses on the environmental and socio-economic impacts of extreme drought in the Aspiring UNESCO Scheldt Delta Geopark (ASDG). Climate change projections indicate that periods of extreme drought, as experienced in 2018, are likely to occur with higher frequency and intensity in the …

Analysis of spontaneous speech is an important tool for clinical linguists to diagnose various types of neurodegenerative disease that affect the language processing areas. Prosody, fluency and voice quality may be affected in individuals with Parkinson's disease (PD, degradation of voice quality, unstable …

Spontaneous speech is an important source of information for aphasia research. It is essential to collect the right amount of data: enough for distinctions in the data to become meaningful, but not so much that the data collection becomes too expensive or places an undue burden on participants. The latter …