134 research outputs found
The impact of Dr Barry Sears’ diet on employee stress: a preliminary study
Work stress can lead to health and performance problems for employees who are unable to cope with it. The main objective of this study was to investigate whether Dr Sears’ diet affects employees’ stress. Data was collected from a sample of 100 employees who were employed by different companies in the broader area of Attica, once a week for a period of three weeks. Of those who participated in the study 56% were male. The results showed that Dr Sears’diet had a beneficial effect on participants’ stress levels, which decreased from the first week of implementation and continued to decline during the second and third week. Future research should focus on long-term effects of this diet on employee behavior related to motivation and performance, to deepen our understanding of the significant role of nutrition at work
Motivating the citizens to transact with the government through a Gamified experience
The current paper explores the implementation of
gamification in the government as a way to win back trust from the
citizens. The motivation of the citizens to interact with the public
authorities through e-government, requires a suitable gamification
framework. Octalysis framework is chosen among the available
gamification frameworks due to its motivation orientated nature.
Octalyis is used a tool for a pilot study to gamify the Greek taxation
information system TAXIS and reveals that TAXIS requires
entertaining web aspects for its long term use by the citizens.peer-reviewe
When ethics create misfit : combined effects of despotic leadership and Islamic work ethic on job performance, job satisfaction, and psychological well-being
Long-term follow-up after fractional flow reserve-guided treatment strategy in patients with an isolated proximal left anterior descending coronary artery stenosis.
Fractional Flow Reserve in Acute Myocardial Infarction: A Guide for Non-Culprit Lesions?
Unsupervised stereoscopic video object segmentation based on active contours and retrainable neural networks
Unsupervised segmentation of stereoscopic video objects: investigation of two depth-based approaches
A Feature Point Based Scheme for Unsupervised Video Object Segmentation in Stereoscopic Video Sequences
An active contour-based video object segmentation scheme for stereoscopic video sequences
A robust steganographic wavelet-based system for resistant message hiding under error prone networks
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