Saxion University of Applied Sciences

About: Saxion University of Applied Sciences is a education organization based out in Enschede, Netherlands. It is known for research contribution in the topics: Health care & Context (language use). The organization has 390 authors who have published 653 publications receiving 8859 citations. The organization is also known as: Saxion University of Applied Sciences.

Alone together: A grounded theory study of experienced burden, coping, and support needs of spouses of persons with a bipolar disorder

Abstract: Bipolar disorder is a chronic and severe mental disorder. Little is known about the experiences of the spouses of such patients. A grounded theory study was undertaken to examine the burden for spouses living with a partner with a bipolar disorder and to explore how they cope and what support they need. Fifteen spouses and ex-spouses were interviewed; they experienced heavy burden and found themselves to be 'alone together.' Their coping process is found to involve appraisal of the situation and attempts to achieve a balance between self-effacement and self-fulfilment. While support can clearly reduce experienced burden, the spouses surprisingly receive virtually no professional support. A theory is developed that constitutes a starting point for the development of adequate support for spouses.

From coarse wall measurements to turbulent velocity fields through deep learning

Abstract: This work evaluates the applicability of super-resolution generative adversarial networks (SRGANs) as a methodology for the reconstruction of turbulent-flow quantities from coarse wall measurements. The method is applied both for the resolution enhancement of wall fields and the estimation of wall-parallel velocity fields from coarse wall measurements of shear stress and pressure. The analysis has been carried out with a database of a turbulent open-channel flow with a friction Reynolds number R e τ = 180 generated through direct numerical simulation. Coarse wall measurements have been generated with three different downsampling factors f d = [ 4 , 8 , 16 ] from the high-resolution fields, and wall-parallel velocity fields have been reconstructed at four inner-scaled wall-normal distances y + = [ 15 , 30 , 50 , 100 ]. We first show that SRGAN can be used to enhance the resolution of coarse wall measurements. If compared with the direct reconstruction from the sole coarse wall measurements, SRGAN provides better instantaneous reconstructions, in terms of both mean-squared error and spectral-fractional error. Even though lower resolutions in the input wall data make it more challenging to achieve highly accurate predictions, the proposed SRGAN-based network yields very good reconstruction results. Furthermore, it is shown that even for the most challenging cases, the SRGAN is capable of capturing the large-scale structures that populate the flow. The proposed novel methodology has a great potential for closed-loop control applications relying on non-intrusive sensing.

Motivational beliefs, student effort, and feedback behaviour in computer-based formative assessment

Abstract: Feedback can only be effective when students seek feedback and process it. This study examines the relations between students' motivational beliefs, effort invested in a computer-based formative assessment, and feedback behaviour. Feedback behaviour is represented by whether a student seeks feedback and the time a student spends studying the feedback. The motivational beliefs examined in this study are success expectancy and task-value beliefs. Results show that the effort invested in the formative assessment was predicted by task-value beliefs, but not by success expectancy beliefs. Furthermore, feedback seeking was predicted by success expectancy as well as task-value beliefs, while feedback study time was not. In addition, feedback seeking was predicted by student effort invested in the formative assessment.