Effect of a Fast-Skin 'Body' Suit on drag during front crawl swimming

The effect on drag of a Speedo Fast‐skin suit compared to a conventional suit was studied in 13 subjects (6 males, 7 females) swimming at different velocities between 1.0 and 2.0 m•

De kern van het ruimtelijk beleid

Political Scienc

Barriers and Best Practices for the Circular Economy

Introduction We’re living in an exciting era. Rather than just another societal transition, we’re going through a fundamental societal transformation. Ecologist Joanne Macy calls this period ‘The Great Turning’: a period wherein we change from an industrial growth society into a life sustaining system’. Macy: “The most remarkable feature of this historical moment on Earth is not that we are on the way to destroying the world; we've actually been on the way for quite a while. It is that we are beginning to wake up, as from a millennia-long sleep, to a whole new relationship to our world, to ourselves and each other.” It is with these eyes that we have to see the rise of the Circular Economy. The Circular Economy is not just another trend in business; it’s the start of a completely new economic reality. The Circular Economy is the starting point for regenerative economics; for a new business-as-usual that - first and foremost - serves life and is based upon a fundamentally new value-paradigm. The future of success in business is about doing good for all stakeholders and creating benefit; not just profit. The Circular Economy demands next level thinking-and-doing in business, and there is no one more willing and able than the next generation of young professionals. It is therefore with great pride and pleasure that I present to you this publication of the SMO Promovendi. It offers fresh perspectives of a group of promising young scientists. All aspiring changemakers. It’s made with love and with the best of intentions; to help the Circular Economy forward

Streamlining Digital Modeling and Building Information Modelling (BIM) Uses for the Oil and Gas Projects

The oil and gas industry is a technology-driven industry. Over the last two decades, it has heavily made use of digital modeling and associated technologies (DMAT) to enhance its commercial capability. Meanwhile, the Building Information Modelling (BIM) has grown at an exponential rate in the built environment sector. It is not only a digital representation of physical and functional characteristics of a facility, but it has also made an impact on the management processes of building project lifecycle. It is apparent that there are many similarities between BIM and DMAT usability in the aspect of physical modeling and functionality. The aim of this study is to streamline the usage of both DMAT and BIM whilst discovering valuable practices for performance improvement in the oil and gas projects. To achieve this, 28 BIM guidelines, 83 DMAT academic publications and 101 DMAT vendor case studies were selected for review. The findings uncover (a) 38 BIM uses; (b) 32 DMAT uses and; (c) 36 both DMAT and BIM uses. The synergy between DMAT and BIM uses would render insightful references into managing efficient oil and gas’s projects. It also helps project stakeholders to recognise future investment or potential development areas of BIM and DMAT uses in their projects

'Peer feedback' voor huisartsopleiders

In medical specialist training programmes it is common practice for residents to provide feedback to their medical trainers. The problem is that due to its anonymous nature, the feedback often lacks the specificity necessary to improve the performance of trainers. If anonymity is to be abolished, there is a need for residents to feel safe in giving their feedback. Another way to improve the performance of trainers might be peer feedback. For peer feedback it is necessary that trainers observe each other during their training sessions with the residents. In speciality training in general practice peer feedback is done in group sessions of 12 trainers. They show videos of their training sessions and get feedback from their fellow trainers. Trainers also visit each other in their practices to observe training sessions and provide feedback. In order to improve trainer performance there is a need for more focus on peer feedback in medical specialist training programmes

Department of Business Studies;

learning and curriculum desig

A new concept of maternity blues: Is there a subgroup of women with rapid cycling mood symptoms?

Background Rapid cycling mood symptoms during the first postpartum week are an important aspect of maternity blues. The aim of this study is to identify women with these rapid cycling mood symptoms in the general population and to investigate possible risk factors of these symptoms. Methods The Maternity Blues Scale (MBS) was validated in The Netherlands in 949 women at one week postpartum. Personal and family history of mood disorders and obstetric demographics were collected and the Edinburgh Postnatal Depression Scale (EPDS) was completed. A 16-item three-factor MBS solution was found: depression, negative and positive affect. The latter two were used to define a rapid cycling mood symptoms group. Results Using the 75th percentile cut-off, 20 (2%) women reported high negative/high positive affect (rapid cycling mood group) and 65 (7%) women were depressed (EPDS≥11). A previous episode of depression, major life events and instrumental delivery were independently related to depression (OR 3.5, 2.5 and 2.3, respectively) while only a history of depression in first-degree relatives was independently related to rapid cycling mood (OR 3.4, 95% CI 1.2–9.8). Limitations First, no syndromal diagnoses were obtained for depression and rapid cycling mood disorder. Second, history of depression was self-reported (not based on structural psychiatric interviews). Third, our study was not designed to study the longitudinal follow-up of women with rapid cycling mood symptoms. Conclusion the 16-item MBS could be useful in screening programs in detecting postpartum women at risk for (severe) mood disorders. Postpartum women with ‘rapid cycling mood symptoms’ can be identified with a possible more familiar form of mood disorder. Keywords: Maternity blues, Postpartum, Depression, Rapid cycling mood, Self-assessment, Questionnair