Abstract Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring …

In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide, Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged sword. Its potential for personalized learning is offset by issues …

This paper presents a Python script that automates the estimation of Yang & Zhang’s stock realized volatility proxy for univariate and multivariate cases. Yang & Zhang’s realized volatility is a stock volatility proxy commonly used by financial researchers and practitioners due to its unbiasedness in …

Learn hands on how to solve logistics use cases by means of a data science infrastructure stack. Building a data-driven infrastructure is crucial for leveraging the full potential of data. In this context, infrastructure refers to the full spectrum of software and technologies (and their interrelationships) …

BACKGROUND: Previous research indicates the start of primary school (4-5-year-old) as an essential period for the development of children's physical activity (PA) patterns, as from this point, the age-related decline of PA is most often observed. During this period, young children are exposed to a wider …

Ondanks de wettelijke verplichting van burgerschapsonderwijs is er op De Rots nog geen visie op dit gebied. Hierdoor richt dit kwalitatieve onderzoek zich op de vraag: “Op welke wijze kan de huidige situatie van burgerschapsonderwijs op EBS de Rots worden omschreven en welke toekomstperspectieven brengt …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

DCW is a social development company and a component of the municipality of Enschede, with a mission to provide opportunities to individuals facing barriers to regular employment. DCW aims to launch a collection of products in the Netherlands, including a placemat, a picnic blanket, two soft children …

Within PREMIUM_EU we have co-responsibility for developing the Regional Development Effects Module (RDEM). This module will map the impact of migration on regional development seen on different variables. To construct the RDEM we have to: 1. develop a typology of regions, based on the impact that mobility …

Charging infrastructure deployment has taken off in many cities with the rise of the number of electric vehicles on the road. Expansion of infrastructure is a matter of prioritisation of resources to optimise the infrastructure. This paper explores how to measure charging station performance, to address …