Perceptions of the present shape imagined futures: Unravelling the interplay between perceived anomie, collective future thinking and collective action in the French context.

In four studies (N = 1832 French participants), we tested if perceiving present society as disintegrated and disregulated (i.e. perceived anomie) would foster the projection of a negative national future and feelings of collective angst; which would in turn predict increased present intentions to engage in actions aimed at defending the country.

On the Development of a New Flexible Pressure Sensor.

The rapid advancement of the Internet of Things (IoT) serves as a significant driving force behind the development of innovative sensors and actuators. This technological progression has created a substantial demand for new flexible pressure sensors, essential for a variety of applications ranging from wearable devices to smart home systems. In response to this growing need, our laboratory has developed a novel flexible pressure sensor, designed to offer an improved performance and adaptability.

Identification and Molecular Characterization of Giant Liver Fluke () Infection in European Fallow Deer () in Romania-First Report.

Fascioloidosis is a parasitic disease of primary wild and domestic ruminants, caused by giant liver fluke, . The definitive host of the liver fluke in its area of origin (North America) is the white-tailed deer (). In Europe, the red deer () and European fallow deer () are definitive hosts and the most sensitive hosts to infection, on which the parasite exerts serious pathogenic effects.

Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study.

Background: Affecting 2-4% of pregnancies, pre-eclampsia is a leading cause of maternal death and morbidity worldwide. Using routinely available data, we aimed to develop and validate a novel machine learning-based and clinical setting-responsive time-of-disease model to rule out and rule in adverse maternal outcomes in women presenting with pre-eclampsia.

Methods: We used health system, demographic, and clinical data from the day of first assessment with pre-eclampsia to predict a Delphi-derived composite outcome of maternal mortality or severe morbidity within 2 days.