Abstract Background Seventy percent of people with advanced dementia live and die in care homes.Multisensory approaches, such as Namaste Care, have been developed to improve the quality of life and dying for people with advanced dementia but little is known about effectiveness or optimum delivery.The aim of this review was to develop an explanatory
Severity Grading and Early Retinopathy Lesion Detection through Hybrid Inception-ResNet Architecture
Diabetic retinopathy (DR) is a diabetes disorder that disturbs human vision.It starts due to the damage in the light-sensitive tissues of blood vessels at the retina.In the beginning, DR may show no symptoms or only slight vision issues, but in the long run, it could be a permanent source of impaired vision, simply known as blindness in the advance
Does litter size variation affect models of terrestrial carnivore extinction risk and management?
Individual variation in both survival and reproduction has the potential to influence extinction risk.Especially for rare or threatened species, reliable population models should adequately incorporate demographic uncertainty.Here, we focus on an important form of demographic stochasticity: variation in litter sizes.We use terrestrial carnivores as
FSVM: A Few-Shot Threat Detection Method for X-ray Security Images
In recent years, automatic detection of threats in X-ray baggage has become important in security inspection.However, the training of threat detectors often requires extensive, well-annotated images, which are hard to procure, especially for rare contraband items.In this paper, a few-shot SVM-constraint threat detection model, named FSVM is propose