OBJECTIVE: The purpose of this study was to determine the effects of seat height, wheelchair mass and grip on mobility performance among wheelchair basketball players and to investigate whether these effects differ between classification levels. METHODS: Elite wheelchair basketball players with a low (n= 11, class 1 or 1.5) or high (n= 10, class 4 or 4.5) classification performed a field-based wheelchair mobility performance (WMP) test. Athletes performed the test six times in their own wheelchair, of which five times with different configurations, a higher or lower seat height, with additional distally or centrally located extra mass, and with gloves. The effects of these configurations on performance times and the interaction with classification were determined. RESULTS: Total performance time on the WMP test was significantly reduced when using a 7.5% lower seat height. Additional mass (7.5%) and glove use did not lead to changes in performance time. Effects were the same for the two classification levels. CONCLUSIONS: The methodology can be used in a wheelchair fitting process to search for the optimal individual configuration to enhance mobility performance. Out of all adjustments possible, this study focused on seat height, mass and grip only. Further research can focus on these possible adjustments to optimize mobility performance in wheelchair basketball. DOI: 10.3233/TAD-190251 LinkedIn: https://www.linkedin.com/in/annemarie-de-witte-9582b154/ https://www.linkedin.com/in/rienkvdslikke/ https://www.linkedin.com/in/moniqueberger/
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In this episode two activities from the mathematics teacher training programme are described. Both of them are based on the so-called “expert-method” in Dutch terminology, or “jigsaw technique” in American educational literature. It relies on dependability between students. It breaks classes into groups and breaks assignments into pieces that the group assembles to complete the (jigsaw) puzzle. The first activity is from a session on the history of calculus and the second is from a session on Euler.
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The carbon dioxide emissions of aviation play an important role in many studies and databases. But unfortunately, a detailed and reliable overview of emission factors, and algorithms to calculate these based on factors like seating class, airline type, and aircraft type, did not exist for the Dutch aviation sector. This study calculated such emissions for a sample of over 5000 international flights in 2019 from the 5 Dutch main airports. The data about the flights were gathered from FlightRadar and enriched with seating capacities specific to the airline performing ten flights. in this way, emissions could be assigned to each of the four seating classes (economy, economy-plus, business and first). By aggregating the data to airline types and distance of the flight, algorithms were developed that help researchers and policy-makers to calculate the emissions. Societal IssueThe carbon footprint of Dutch aviation is about 10% of the total footprint. To prevent the world to exceed 1.5 degrees C and enter 'dangerous climate change', emissions need to decline to zero before 2050. This study helps assess and understand current aviation emissions from Dutch airports.Benefit to societyThe results were an update of emissions factors as used by the funding organisation, MilieuCentraal, and the official emission factors list (https://www.co2emissiefactoren.nl/lijst-emissiefactoren/).