OBJECTIVES: To evaluate the effects of exercise interventions on sleep disturbances and sleep quality in patients with mixed cancer diagnoses, and identify demographic, clinical, and intervention-related moderators of these effects. METHODS: Individual patient data (IPD) and aggregated meta-analyses …

Background: To experience external objects in such a way that they are perceived as an integral part of one's own body is called embodiment. Wearable technology is a category of objects, which, due to its intrinsic properties (eg, close to the body, inviting frequent interaction, and access to personal …

Machine learning algorithms can help to find patterns (coherence) in the "ingredients" (data). As long as the conditions aren 't changed, taking these patterns as it 's starting point, it can extrapolate the ingredients to the (near) future, showing some future developmental possibilities (again, as …

BACKGROUND: Apart from clinical experience and theoretical considerations, there is a lack of evidence that the level of adherence to in-hospital mobilization protocols is related to functional recovery in patients after resection for lung cancer. The objectives of the study were to determine (1) the …

As society has to adapt to changing energy sources and consumption, it is driving away from fossil energy. One particular area of interest is electrical driving and the increasing demand for (public) charging facilities. For municipalities, it is essential to adapt to this changing demand and provide …

Both climate change and human activity are the important drivers that can change hydrological cycle routs and affect the features of hydrological drought in river basins. The current study selects the Zayandeh Rud river Basin as a case study region in which to evaluate the influences of climate alteration …

In this chapter we discuss the implications of our research in the wider context of current models of brain function, endeavoring to understand the consequences of score-dependence and improvisation in terms of the ‘predicting brain’, the dual-stream model of perception and action, the procedural-declarative …

This research aims to predict traffic density using driver behaviour as collected from the CAN bus. The hypothesis is that driver behavior is influenced by traffic density in such a way that an approximation of the traffic density can be determined from changes in the driver behavior. Machine learning …

This research is an explorative study to look for the potential to predict traffic density from driver behaviour using signals collected from the Controller Area Network (CAN) bus. The hypothesis is that driver behaviour is influenced by traffic density in such a way that an approximation of the traffic …

This research is an explorative study to look for the potential to predict traffic density from driver behavior using signals collected from the Controller Area Network (CAN) bus. The hypothesis is that driver behavior is influenced by traffic density in such a way that an approximation of the traffic …