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Background: Emergency medicine can impose a heavy psychological burden on healthcare workers. Stress experienced during life-threatening situations may disrupt situational awareness (SA), i.e., the perception of environmental elements with respect to time and space, the comprehension of their meaning, and the projection of their state into the near future. We aimed to investigate whether mindfulness (a special way of paying attention: conscious, non-judgmental, and oriented to the present moment) can be related to the SA levels among final-year medical students confronted with life-threatening situations during medical simulations. Methods: The simulations were constructed as high-fidelity scenarios in children and adults (ClinicalTrials.gov ID: NCT03761355). The components of mindfulness were assessed using the Five Facet Mindfulness Questionnaire. SA among students was assessed using The Situation Awareness Global Assessment Technique at three levels: (1) data, (2) comprehension, and (3) projection. Results: In total, 117 students were included. Level 1 SA positively correlated with the overall mindfulness score and its components, i.e., nonreactivity, conscious presence, and nonjudgment. Moreover, level 3 SA significantly correlated with the description, but not with the overall mindfulness score. A regression model showed that nonreactivity explained 34% of Level 1 of SA variability. The addition of conscious presence and nonjudgment into this model did not change its predictive value. Conclusions: nonreactivity a component of mindfulness of final-year medical students is related to the meticulous data collection of patients in life-threatening situations.

Roads and bridges are designed to meet the transportation demands for traffic volume and loading. Knowledge of the actual traffic is needed for a rational management of highway infrastructure. There are various procedures and equipment for measuring truck weight, including static and in weigh-in-motion techniques. This paper aims to compare four systems: portable scale, stationary truck weigh station, pavement weigh-in-motion system (WIM), and bridge weigh-in-motion system (B-WIM). The first two are reliable, but they have limitations as they can measure only a small fraction of the highway traffic. Weigh-in-motion (WIM) measurements allow for a continuous recording of vehicles. The presented study database was obtained at a location that allowed for recording the same traffic using all four measurement systems. For individual vehicles captured on a portable scale, the results were directly compared with the three other systems&rsquo, measurements. The conclusion is that all four systems produce the results that are within the required and expected accuracy. The recommendation for an application depends on other constraints such as continuous measurement, installation and operation costs, and traffic obstruction.