Learning is ubiquitous in animals: individuals can use their experience to fine-tune behaviour
and thus to better adapt to the environment during their lifetime. Observations have …

The identification of geographic areas where the densities of animals are highest across their
annual cycles is a crucial step in conservation planning. In marine environments, however, …

… Author links open overlay panel Anne-Sophie Bonnet-Lebrun a b , Andrea Manica a , Ana …
This project was part of AS Bonnet-Lebrun's PhD at the University of Cambridge, funded by a …

Density-dependent prey depletion around breeding colonies has long been considered an
important factor controlling the population dynamics of colonial animals. Ashmole proposed …

Background The deep learning-based human pose estimation methods, which can estimate
joint centers position, have achieved promising results on the publicly available human …

Background Marker-less systems based on digital video cameras and deep learning for gait
analysis could have a deep impact in clinical routine. A recently developed system has …

Background The optimal early mean arterial pressure (MAP) level in terms of renal function
remains to be established in patients with out-of-hospital cardiac arrest (OHCA). We aimed to …

A mixed tree species composition is frequently proposed as a way to increase habitat
heterogeneity and support greater biodiversity in commercial forests. However, although …

There is increasing realisation that individuals in many animal populations differ substantially
in resource, space or habitat use. Differences that cannot be attributed to any a priori way …

Understanding the processes related to wildlife recoveries is not only essential in solving
human – wildlife conflicts, but also for identifying priority conservation areas and in turn, for …