ACL injuries are among the most severe knee injuries in elite sport, with a high injury burden and re-injury risk. Despite extensive literature on the injury and the higher incidence of injury and re-injury in female athletes, there is limited evidence on the return to sport (RTS) of elite female football players following ACL reconstruction (ACLR). RTS is best viewed on a continuum aligning the recovery and rehabilitation process with the ultimate aim — a return to performance (RTPerf). We outline the RTS and RTPerf of an elite female football player following ACLR and her journey to the FIFA Women’s World Cup, including the gym-based physical preparation and the on-pitch/sports-specific reconditioning. We used the ‘control–chaos continuum’ as a framework for RTS, guiding a return above pre-injury training load demands while considering the qualitative nature of movement in competition. We then implemented the ‘RTPerf pathway’ to facilitate a return to team training, competitive match play and a RTPerf. Objective information, clinical reasoning and shared decision-making contributed to this process and helped the player to reach her goal of representing her country at the FIFA Women’s World Cup.

In the case of solar vehicles, since the primary necessity is to optimise the energy efficiency during motion, many efforts are addressed by designers in searching the perfect aerodynamics. It means, in particular, the minimization of the drag force at cruising speeds and an elaborated vehicle's Computer-Aided Design (CAD) are the principal result of this activity. Despite, these efforts can be nullified by geometrical tolerances emerging from manufacturing. In this paper, the effects of tolerances introduced by composite manufacturing processes are investigated combining 3D scanning technology and Computational Fluid Dynamics (CFD). After the solar car manufacturing, a reverse engineering process is executed with the aim to scan the vehicle's body and compare it to the initial theoretical design. Geometric deviations are found and their aerodynamic consequences are evaluated in terms of aerodynamic losses.

Solar cars are known for their energy efficiency, and different races are designed to measure their performance under certain conditions. For these races, in addition to an efficient vehicle, a competition strategy is required to define the optimal speed, with the objective of finishing the race in the shortest possible time using the energy available. Two heuristic optimization methods are implemented to solve this problem, a convergence and performance comparison of both methods is presented. A computational model of the race is developed, including energy input, consumption and storage systems. Based on this model, the different optimization methods are tested on the optimization of the World Solar Challenge 2015 race strategy under two different environmental conditions. A suitable method for solar car racing strategy is developed with the vehicle specifications taken as an independent input to permit the simulation of different solar or electric vehicles.

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