Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

We examine how a multi-stakeholder collaboration (MSC) in the emergent issue field of circular textiles in The Netherlands gains legitimacy as field coordinator. Drawing on our preliminary findings from rich, qualitative data, we present a process model that highlights three objects of legitimacy – the …

Breaking the lock-in: transitioning beyond gas