Bone regeneration and repair are complex processes with the potential of added complications, like delayed repair, fracture non-union, and post-surgical infections.These conditions remain a challenge globally, pressurizing the economy and patients suffering from these conditions.Applications of nanotechnology (NBT) in the field of medicine have 7 P
Self-supervised learning Posts has been shown to be effective in various fields, proving its usefulness in contrastive learning.Recently, graph contrastive learning has shown state-of-the-art performance in the recommendation task.They created two views and learned node embeddings so that target nodes in the two views attract each other based on th
Indumentum types of the leaves in 31 species of Wooden Toys Potentilla L.(Rosaceae) and four related genera, especially Tylosperma Botsch., Schistophyllidium (Juz.ex Fed.) Ikonn., Drymocallis Fourr.ex Rydb., and Sibbaldia L.from Iran were investigated.Indumentum ultrastructure was studied by scanning electron microscopy (SEM).SEM observation reveal
Introduction The only curative treatment for most gastric cancer is radical gastrectomy with D2 lymphadenectomy (LAD).Minimally invasive total gastrectomy (MIG) aims to reduce postoperative morbidity, but its use has not yet been widely established in Western countries.Minimally invasivE versus open total GAstrectomy is the first Western multicentr
BackgroundNatural language processing has long been applied in various applications for biomedical knowledge inference and discovery.Enrichment analysis based on named entity recognition is a classic application for inferring enriched associations in terms of specific biomedical entities such as gene, chemical, and mutation.ObjectiveThe aim of this