Anatomy 3.0: Rediscovering Theatrum Anatomicum in the wake of Covid-19

The Covid-19 pandemic has challenged medical educators internationally to confront the challenges of adapting their present educational activities to a rapidly evolving digital world. In this article, the authors use anatomy education as proxy to reflect on and remap the past, present, and future of medical education in the face of these disruptions. Inspired by the historical Theatrum Anatomicum (Anatomy 1.0), the authors argue replacing current anatomy dissection laboratory (Anatomy 2.0) with a prototype anatomy studio (Anatomy 3.0). In this studio, anatomists are web-performers who not only collaborate with other foundational science educators to devise meaningful and interactive content but who also partner with actors, directors, web-designers, computer engineers, information technologists, and visual artists to master online interactions and processes in order to optimize students' engagement and learning. This anatomy studio also offers students opportunities to create their own online content and thus reposition themselves digitally, a step into developing a new competency of stage presence within medical education. So restructured, Anatomy 3.0 will prepare students with the skills to navigate an emergent era of tele and digital medicine as well as help to foreshadow forthcoming changes in medical education.     

Carbohydrate intake and training efficacy – a randomized cross-over study

Carbohydrate (CHO) availability during endurance exercise seems to attenuate exercise-induced perturbations of cellular homeostasis and might consequently diminish the stimulus for training adaptation. Therefore, a negative effect of CHO intake on endurance training efficacy seems plausible. This study aimed to test the influence of carbohydrate intake on the efficacy of an endurance training program on previously untrained healthy adults. A randomized cross-over trial (8-week wash-out period) was conducted in 23 men and women with two 8-week training periods (with vs. without intake of 50g glucose before each training bout). Training intervention consisted of 4x45 min running/walking sessions/week at 70% of heart rate reserve. Exhaustive, ramp-shaped exercise tests with gas exchange measurements were conducted before and after each training period. Outcome measures were maximum oxygen uptake (VO_2max) and ventilatory anaerobic threshold (VT). VO_2max and VT increased after training regardless of CHO intake (VO_2max: Non-CHO 2.6 ± 3.0 ml*min^?1*kg^?1 p = 0.004; CHO 1.4 ± 2.5 ml*min^?1*kg^?1 p = 0.049; VT: Non-CHO 4.2 ± 4.2 ml*min^?1*kg^?1 p < 0.001; CHO 3.0 ± 4.2 ml*min^?1*kg^?1 p = 0.003). The 95% confidence interval (CI) for the difference between conditions was between +0.1 and +2.1 ml*min^?1*kg^?1 for VO_2max and between ?1.2 and +3.1 for VT. It is concluded that carbohydrate intake could potentially impair the efficacy of an endurance training program.     

Aerodynamic drag in cycling: methods of assessment

When cycling on level ground at a speed greater than 14 m/s, aerodynamic drag is the most important resistive force. About 90% of the total mechanical power output is necessary to overcome it. Aerodynamic drag is mainly affected by the effective frontal area which is the product of the projected frontal area and the coefficient of drag. The effective frontal area represents the position of the cyclist on the bicycle and the aerodynamics of the cyclist-bicycle system in this position. In order to optimise performance, estimation of these parameters is necessary. The aim of this study is to describe and comment on the methods used during the last 30 years for the evaluation of the effective frontal area and the projected frontal area in cycling, in both laboratory and actual conditions. Most of the field methods are not expensive and can be realised with few materials, providing valid results in comparison with the reference method in aerodynamics, the wind tunnel. Finally, knowledge of these parameters can be useful in practice or to create theoretical models of cycling performance.