The University and Its Region: The Case of the University of Turku

Because in recent years the universities of Finland have had to rely more on regional than on national support, the University of Turku, which was created in 1920 to serve a national purpose, had to redirect the scope of its activities to its region. However, this region is the most important economic area of Finland outside the capital area and can thus provide many opportunities for the university. A more targeted central management at the university evaluated the external impact of the institution and decided to focus on the biosciences, cultural interactions and integration, mathematics and mathematical methods, learning and teaching, information and communication technology, materials research, and collaboration in the Baltic Sea zone as areas of regional outreach and collaboration. The latter takes place in many ways. In particular, collaboration in science takes place through the BioCity Turku organization, an umbrella organization for research in cell and molecular biology, the Turku Center for Computer Science, and the Turku Science Park. Thus the University of Turku is helping to unlock the resources of its region, and the region supports its university in a number of ways.     

1. Franz Weinert/Heinz Mandl (Hrsg.): Psychologie der Erwachsenenbildung. Enzyklopädie der Erwachsenenbildung. Serie I. Pädagogische Psychologie. Band 4

Ohne Zusammenfassung     

Informationen des Deutschen Olympischen Sportbunds (DOSB)

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Validation of a model and a simulator for road cycling on real tracks

In this study, methods for data acquisition, analysis, modelling, and simulation of performance parameters in road cycling on real tracks were developed and evaluated. A simulator was designed to facilitate the measurement in a laboratory environment. The simulation included real height profiles and a video playback that was synchronised with the cyclist’s current virtual position on the track, and online visualisation of course and performance parameters. Field data obtained on mountain tracks in this study were compared with the state-of-the-art mathematical model for road cycling power, established by Martin et al. (J Appl Biomech 14: 276–291, 1998), which accounts for the gradient force, air resistance, rolling resistance, frictional losses in wheel bearings and inertia. The model described the performance parameters accurately with correlation coefficients of 0.96–0.99 and signal-to-noise ratios of 19.7–23.9 dB. It was shown that the mathematical model could be implemented on an ergometer for simulating rides on real courses, providing similar quality measures when comparing field and simulator measurements.     

Three dimensional musculoskeletal modelling of the seated biceps curl resistance training exercise

The aim of this study was to evaluate the benefits and limitations of using three dimensional (3D) musculoskeletal modelling (LifeModeler) in assessing the safety and efficacy of exercising on a seated biceps curl resistance training machine. Three anthropometric cases were studied, representing a 5th percentile female, 50th percentile and 95th percentile male. Results indicated that the LifeModeler default model was not adequate to solve the forward dynamics simulations. Therefore adjustments had to be made to the default model to successfully complete the forward dynamics simulations. The software was able to sufficiently highlight the shortcomings of the biceps curl machine's engineered adjustability in relation to the anthropometric dimensions of the studied cases, as the 5th percentile female could not be accommodated suitably on the machine. High lumbar spine anterior/posterior shear forces for all anthropometric cases and maximum muscle tensions for the female and 50th percentile male indicate that the seated biceps curl exercise may pose risks for injuries. To conclude, it appears that 3D musculoskeletal modelling can be used to evaluate resistance training equipment such as the seated biceps curl machine. However the limitations as indicated by this study must be taken into consideration, especially when using the default LifeModeler model.