Urbanization Shifts Immunometabolism in a Common Bumblebee.

The growing urbanization process is accompanied by the emergence of new habitats for wildlife, and cities are sometimes seen as refuges for pollinators such as wild bees compared to intensively cultivated rural habitats. However, the contrasting living conditions that combine high fragmentation, exposure to pollutants, and heat island effects, with low pesticide use and potentially high availability of resources, make it difficult to predict the overall effect of urban living on the health of wild bees. Moreover, if the responses of wild bee populations in terms of species richness and diversity have been the focus of many recent studies, individual responses to urbanization have been more rarely investigated.

Metastable water at several compression rates and its freezing kinetics into ice VII.

Water can be dynamically over-compressed well into the stability field of ice VII. Whether water then transforms into ice VII, vitreous ice or a metastable novel crystalline phase remained uncertain. We report here the freezing of over-compressed water to ice VII by time-resolved X-ray diffraction.

Testing Usability of a Medical Device Using Virtual Reality.

Before commercialization of a medical device, it is important to evaluate its usability. Traditional methods such as user testing to evaluate usability of medical device encountered difficulties to put participants in simulation conditions that are sufficiently realistic to be representative of real life. Virtual reality can be used to immerse participants in a high-fidelity simulation at a lower cost, but is not widely used today.

Distance-based indicators for evaluating environmental multi-contamination and related exposure: how far should we go?

Assessing environmental exposure to pollution is a challenging task, and scientists often use distance-based or proximity indicators when field or modeled data are unavailable. Although buffers are commonly used to represent the impact of a pollution source on neighboring populations, they can result in high-exposure misclassification. Euclidean distance-based indicators offer a promising alternative, but practices vary significantly in the literature.