Abstract Recent advancements in steady?state visual evoked potential?based brain?computer interface have been made possible by the widespread use of various spatial filtering methods.Task?related component analysis has superiority over existing subject?specific target frequency recognition methods.However, the optimised spatial filters of task?rela
Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention
Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results.This study explores deep learning LADIES SKIRTS URBAN for fraud detection, utilizing Graph Neural Networks (GNNs) and Autoencoders to enhance business practices and reduce fraudulent activities in large organizat
Optimized nonionic emulsifier for the efficient delivery of astaxanthin nanodispersions to retina: in vivo and ex vivo evaluations
Astaxanthin (AST) is a naturally occurring carotenoid with potent anti-oxidative and anti-inflammatory potency against chronic diseases.In this study, we suspended AST in different nonionic emulsifiers to produce nanodispersions.The basic physicochemical properties of the produced AST nanodispersions were verified to select the optimized nonionic e
Response to Rituximab after Failure of Cyclophosphamide in the Induction Treatment in a Patient with cANCA-associated Vasculitis and Pachymeningitis: a Case Report
A 36-year-old male patient who originally presented with recurrent inflammations in the mastoid, otitis media and peripheral facial paralysis was diagnosed with sterile pachymeningitis, associated with high titres of antineutrophil cytoplasmic antibodies (cANCA) directed against proteinase 3 (PR3).Induction therapy with oral prednisolone 1 mg/kg bo