https://www.selleckchem.com/products/bay-11-7082-bay-11-7821.html The use of new information and communication technologies is one way of better informing the patient. E-health includes telemedicine but also patient information and self-monitoring, or continuous remote monitoring with connected objects and mobile apps. It is in this context that we have developed and designed a digital application, e-consult®, which we use at the François Baclesse center, dedicated to improving information for patients. The objective of this study was to assess the performance of the e-consult® application in current practice, in order to know if the information delivered to patients was better retained with the application. We conducted a prospective, single-center study at the Cancer Center François Baclesse. One group was received in consultation with the use of e-consult®, the other without. Following the consultation, the patient was given a questionnaire concerning her illness and a satisfaction questionnaire concerning the application. The average score obtained on the questionn, a small number of patient, and unvalidated questionaries. Despite these promising results, more studies with better internal validity are needed. Future research may also study the impact of the application on the doctor-patient relationship.Situation awareness (SA) has received much attention in recent years because of its importance for operators of dynamic systems. Electroencephalography (EEG) can be used to measure mental states of operators related to SA. However, cross-subject EEG-based SA recognition is a critical challenge, as data distributions of different subjects vary significantly. Subject variability is considered as a domain shift problem. Several attempts have been made to find domain-invariant features among subjects, where subject-specific information is neglected. In this work, we propose a simple but efficient subject matching framework by finding a connection between a target (te