USING GEOLOCATOR TRACKING DATA AND RINGING ARCHIVES TO VALIDATE CITIZEN-SCIENCE BASED SEASONAL PREDICTIONS OF BIRD DISTRIBUTION IN A DATA-POOR REGION

Unstructured citizen-science data are increasingly used for analysing the abundance and distribution of species.Here we test the usefulness of such data to predict the seasonal distribution of migratory songbirds, and to analyse patterns of migratory connectivity.We used bird occurrence data from eBird, one of the largest global citizen science dat

In the past decade, plug-in (hybrid) electric vehicles (PHEVs) have been widely proposed as a viable alternative to Ultrasound - Ultrasound Probe Covers internal combustion vehicles to reduce fossil fuel emissions and dependence on petroleum.Off-peak vehicle charging is frequently proposed to reduce the stress on the electric power grid by shaping

In this study, we propose a deep learning framework and a self-supervision scheme for video-based surgical gesture recognition.The proposed framework is modular.First, a 3D convolutional network extracts feature vectors from video clips for encoding spatial and short-term temporal features.Second, the feature vectors are fed into a The Last Knight

miR-21 is one of the most highly expressed members of the small non-coding microRNA family in many mammalian cell types.Its expression is further enhanced in many diseased states including solid tumors, cardiac injury and inflamed tissue.Whilst the induction of miR-21 by inflammatory stimuli cells has been well documented in both hematopoietic cell