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Our friend Zach Yamauchi recently caught up with Gordon Boettger, Gordon has added a whole new meaning to “cross country” soaring as you are about to hear on this episode. He has been soaring pretty much his whole life. He soloed at 14 and has not looked back. Gordon holds 5 US distance Records and has Multiple crosswind and downwind flights beyond 2000 km, including flights done in a Kestrel from the 1970s.

>>>> https://www.soaringthesky.com/2022/05/20/118-cross-country-across-the-country-an-interview-with-gordon-boettger/

La vague de chaleur actuelle ne sera pas unique, réchauffement climatique oblige et elle n’est pas non plus la première. Les conditions climatiques qui régnaient sur l’Espagne il y a 20 ou 30 ans sont celles que rencontre ou va rencontrer la France très prochainement. Pour l’aviation, notamment motorisée par GMP atmosphériques, cela se concrétise par des performances dégradées avec un air moins dense, donc moins de portance, d’où des distances de décollages augmentées, des taux de montée diminués.

Plusieurs accidents survenus ces deux dernières années en attestent. La problématique est encore aggravée en région montagneuse, avec des altitudes pratiquées plus élevées qu’en plaine, où intervient le paramètre d’altitude-densité.

>>> http://www.aerovfr.com/2022/06/chaleur-altitude-et-performances/

Our paper in Scientific Reports show how we study Perturbation Evoked Potentials (PEP) in a robot-driven glider simulator. We can detect differentiate directions and angles!

Neuroimaging studies have provided proof that loss of balance evokes specific neural transient wave complexes in electroencephalography (EEG), called perturbation evoked potentials (PEPs). Online decoding of balance perturbations from ongoing EEG signals can establish the possibility of implementing passive brain-computer interfaces (pBCIs) as a part of aviation/driving assistant systems. In this study, we investigated the feasibility of identifying the existence and expression of perturbations in four different conditions by using EEG signals. Fifteen healthy participants experienced four various postural changes while they sat in a glider cockpit. Sudden perturbations were exposed by a robot connected to a glider and moved to the right and left directions with tilting angles of 5 and 10 degrees. Perturbations occurred in an oddball paradigm in which participants were not aware of the time and expression of the perturbations. We employed a hierarchical approach to separate the perturbation and rest, and then discriminate the expression of perturbations. The performance of the BCI system was evaluated by using classification accuracy and F1 score. Asynchronously, we achieved average accuracies of 89.83 and 73.64% and average F1 scores of 0.93 and 0.60 for binary and multiclass classification, respectively. These results manifest the practicality of pBCI for the detection of balance disturbances in a realistic situation.