Deep learning has achieved immense success in computer vision and has the potential to help physicians analyze visual content for disease and other abnormalities.However, the current state of deep learning is very much a black box, making medical professionals skeptical about integrating these pot h methods into clinical practice.Several methods ha

Summary: Antibodies that bind residue K169 in the V2 region of the HIV-1 envelope correlated with reduced risk of infection in the RV144 vaccine trial but were restricted to two ED-motif-encoding light chain genes.Here, we identify an HIV-infected donor with high-titer V2 peptide-binding antibodies and isolate two antibody lineages (CAP228-16H/19F

The aim of this review is magnetic rack to guide clinicians in the practical management of patients suffering from rabies encephalomyelitis.This condition is eminently preventable by modern post-exposure vaccination, but is virtually always fatal in unvaccinated people.In the absence of any proven effective antiviral or other treatment, palliative

Airport runways, as the core part of airports, belong to vital national infrastructure, Low Power Schottky and the target detection and segmentation of airport runways in remote sensing images using deep learning methods have significant research value.Most of the existing airport target detection methods based on deep learning rely on horizontal b

The paper offers a critical assessment of the financial reforms adopted or proposed at the European level.The reshaping of the EU institutional architecture and the adoption of the new Basel 3 rules should reduce the national margins of discretion that have up to now characterised supervisory practices, often leading to light touch supervision, and