ABSTRACT Purpose: Polypharmacy is a known risk factor for potentially inappropriate prescribing. Recently there is an increasing interest in clinical decision support systems (CDSS) to improve prescribing. The objective of this study was to evaluate the impact of a CDSS, with the START-STOPP criteria …

SME production companies producing high variety/low volume discrete products face challenging customer demands. These result in complex planning issues due to the tension between optimizing a low volume flow and optimizing efficiency parameters. Current planning and control systems do not support this …

A major target of the European Green Deal is to raise the 2030 greenhouse gas emission reduction target to 55% compared to 1990. This high ambition includes an increase of the energy performance of buildings and additional generation of renewable energy in all sectors. The tertiary sector, including …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

The sustainable energy transition asks for new and innovative solutions in the way society, government, energy market and clients (end users) approach energy distribution and consumption. The energy transition provides great opportunity to develop innovative solutions where in the dense built environment …

This work focuses on humidity effects of turbofan engines, in order to identify the magnitude of the error in operational conditions and the implications on maintenance decision support. More specifically, this paper employs a set of different methods, including semi-empirical corrections used in engine …

Wanneer er een aardbeving heeft plaatsgevonden dan is het van belang dat veiligheidsdiensten en gebouwbeheerders snel een goed beeld hebben van de schade aan gebouwen en risico’s in het gebied. Sensortechnologie in combinatie met data over gebouwen en bewonersaantallen kan van grote meerwaarde zijn voor …

The full potential of predictive maintenance has not yet been utilised. Current solutions focus on individual steps of the predictive maintenance cycle and only work for very specific settings. The overarching challenge of predictive maintenance is to leverage these individual building blocks to obtain …

Citizen participation in local renewable energy projects is often promoted as many suppose it to be a panacea for the difficulties that are involved in the energy transition process. Quite evidently, it is not; there is a wide variety of visions, ideologies and interests related to an ‘energy transition’. …

Using the latest industrial robot technology, the collaborative robot (cobot), industrial manufacturers work towards high-mix low-volume production systems that could satisfy a diversifying customer demand. As the utilization of the cobot’s potential depends on the dynamic interaction with operators, …