Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning.Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recently been introduced and widely investigated.We aimed to investigate the performance of deep learning mo
The motivation of this glitter foam vellen action paper is the continual development of the blades for the last stage of the steam turbine.The biggest problem is the slenderness of such blades and the extreme sensitivity to aeroelastic vibrations (flutter) caused by the instabilities present in the flow.This experimental research is dealing with th
Abstract Novel hierarchical Cd4SiS6/SiO2 based heterostructure nanowire arrays were fabricated on silicon substrates by a one-step thermal evaporation of CdS powder.The as-grown products were characterized using scanning electron volleyball replacement net microscopy, X-ray diffraction, and transmission electron microscopy.Studies reveal that a typ
Abstract Background Invasive ecosystem engineers can facilitate their invasions by modifying the physical environment to improve their own performance, but this positive feedback process has rarely been tested empirically except in sessile organisms.The invasive crayfish Procambarus clarkii is an ecosystem engineer that destroys aquatic macrophytes
Subjects in laboratory settings exhibit straight hand paths-typified by the minimum jerk path-even in the presence of a learned but disturbing force field.At the same time it is known that in this setting, visual feedback strongly influences reaches, biasing them to be straight.Here we examine whether or not this bias can account for the straightne