The effects of self-efficacy on physical and cognitive performance: An analysis of meta-certainty

In the present research, we analyzed the effects of self-efficacy (SE) on physical and cognitive performance in real-world settings as a function of the metacognitive certainty in SE. In three studies, participants completed a measure of SE, which asked them to report how sure they were that they can achieve several specific results on various athletic and academic tasks. Moreover, general certainty in their own SE (i.e., SEC) was measured (Studies 1 and 3) or manipulated to be high versus low (Study 2). Relevantly, our studies aimed to obtain a high level of ecological validity by including athletes in natural, real-world settings (i.e., gymnasiums). Furthermore, we sought to extend the findings beyond physical performance by analyzing university students’ cognitive performance in their actual academic setting (i.e., classrooms). Specifically, physical performance was assessed with pull-ups (Study 1) and vertical jump tests (Study 2), and cognitive performance was measured with grades on exams (Study 3). As expected, SE was positively related to performance. Most importantly, we predicted and found an interaction between SE and SEC on performance. That is, the effect of SE on physical and cognitive performance was greater for participants with higher (vs. lower) metacognitive certainty in their SE. In conclusion, to increase the explanatory and predictive power of efficacy beliefs across different domains, we propose that the assessment of SE should also include measures of one's metacognitive certainty in SE. In addition, we suggest that interventions on SE could benefit from the use of certainty inductions when including these inductions is possible and convenientThis work was supported in part by the Ministerio de Economía, Industria y Competitividad (Spain) [Grant number PSI2017-83303-C2- 1-P], and by the Ministerio de Ciencia e Innovación (Spain) [Grant number PID2020-116651GB-C33

Eurobalise-Train communication modelling to assess interferences in railway control signalling systems

The evolution of the railway sector depends, to a great extent, on the deployment of advanced railway signalling systems. These signalling systems are based on communication architectures that must cope with complex electromagnetical environments. This paper is outlined in the context of developing the necessary tools to allow the quick deployment of these signalling systems by contributing to an easier analysis of their behaviour under the effect of electromagnetical interferences. Specifically, this paper presents the modelling of the Eurobalise-train communication flow in a general purpose simulation tool. It is critical to guarantee this communication link since any lack of communication may lead to a stop of the train and availability problems. In order to model precisely this communication link we used real measurements done in a laboratory equipped with elements defined in the suitable subsets. Through the simulation study carried out, we obtained performance indicators of the physical layer such as the received power, SNR and BER. The modelling presented in this paper is a required step to be able to provide quality of service indicators related to perturbed scenarios.The work described in this paper is partially supported by the EU FP7-SEC-2011-1 Col-laborative Research Project entitled SECRET—SECurity of Railways against Electromagnetic aTtacks—and by the EU FP7 Research Project entitled EATS—ETCS Advanced Design Test- ing and Smart Train Positioning System. This work is also supported by the Spanish Min- istry of Economy and Competitiveness through the SAREMSIG TEC2013-47012-C2 project— Contribution to a Safe Railway Operation: Evaluating the effect of Electromagnetic Disturb- ances on Railway Control Signalling Systems. This work is partially produced within the Training and Research Unit UFI11/16 funded by the UPV/EHU