This research explored whether machine learning models could predict shifts in participants’ preferences and attitudes towards energy solutions based on behavioural and self-reported engagement data collected during visual educational interventions. Through four sub-questions, the study evaluated how …

This cross-cultural study examines the relationship between perceived COVID-19 changes due to the impacts on everyday life by the pandemic with social exclusion and across 32 cultures and their levels in collectivism. With data from the start of the first outbreak from March 2020 to June 2020 (N = 9245), …

We bevinden ons in de vierde industriële revolutie, waarin de transitie naar smart industry en een geavanceerde, data-gedreven supply chain centraal staan. Van logistieke hbo curricula wordt gevraagd om hierop in te spelen. Het in 2024 nieuw verschenen Landelijk Opleidingsprofiel schetst hiervoor de …

A replacement of cars with conventional internal combustion engines (ICEs) by electric vehicles (EVs) is seen by many as a means to improve local air quality, reduce dependence on fossil fuels and CO2 emissions. The market for EV is slowly developing with a growing number of (subsidized) manufacturers …

The research focuses on the key role played by ‘collectives of makers’ from SMEs in urban transformations. Case studies are central. At a time when space in the city is becoming increasingly scarce, the pressure on space for work is increasing. Entrepreneurs of 6 best practices secure space for work …

In een tijd waarin ruimte in de stad steeds schaarser wordt, neemt de druk op ruimte voor werk toe. Ondernemers vanuit 6 praktijkvoorbeelden stellen ruimte voor werk wel veilig door als collectief te opereren. Door het vast stellen van hun (betaalbare) ruimte voor werk, kunnen collectieve toegevoegde …

Analyzing historical decision-related data can help support actual operational decision-making processes. Decision mining can be employed for such analysis. This paper proposes the Decision Discovery Framework (DDF) designed to develop, adapt, or select a decision discovery algorithm by outlining specific …

We present an industry use case in which we discuss the practical use of a formal list of definitions. The list of definitions will be used as a basis for a knowledge graph that will serve knowledge panels when interacting with information in the company and that will help improve question answering …

In this abstract we describe a computational approach for detecting discursive patterns in social media. Newsrooms of municipalities and public organizations such as the police follow public debate on social media to be aware of and prepare for local and global issues and rumors. The onset of these issues …

Background Increased protein provision might ameliorate muscle wasting and improve long-term outcomes in critically ill patients. The aim of the PRECISe trial was to assess whether higher enteral protein provision (ie, 2·0 g/kg per day) would improve health-related quality of life and functional outcomes …