Most commercial prosthetic hands lack closed-loop feedback, thus, a lot of research has been focusing on implementing sensory feedback systems to provide the user with sensory information during activities of daily living.This study evaluates the possibilities of using a microphone and electrotactile feedback to identify different textures.A conden
Since the first patient reported in December 2019, 2019 novel coronavirus disease (COVID-19) has become global pandemic with more than 10 million total confirmed cases and 500 thousand related deaths.Using deep learning methods to quickly identify COVID-19 and accurately segment the infected area can help control the outbreak and assist in treatmen
Purpose: This research aimed to estimate the Mass Attenuation Coefficient (MAC) for the various nanoparticles in diagnostic imaging in order to assess and compare the changes in a bulk state.Materials and Methods: To Using Monte Carlo N-Particle eXtended (MCNPX) code, nanoparticles Home Decor were simulated in the target in order to compute the MAC
Summary: Insights into the immunopathogenesis of chronic HBV infections are fundamental in the quest for novel treatment approaches aimed at a functional cure.While much is known about the ineffective CHEER UP BUTTERCUP HBV-specific T-cell responses that characterise persistent HBV replication, B cells have been left largely understudied.However, a