Recurrent neural network (RNN) is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable performance in capturing long-term dependencies.Many models have achieved excellent results based on RNN.However, most of these models overlook
Spectral unmixing is an important technique for quantitatively analyzing hyperspectral remote macaron gel nail kit sensing images.Recently, constrained nonnegative matrix factorization (NMF) has been demonstrated to be a powerful tool for spectral unmixing.However, acquiring the problem-dependent prior knowledge and incorporating it into NMF as eff
Introduction Robotic neck dissection surgery allows less invasiveness to significantly improve the aesthetic impact even though it does not compromise the principles of radical cancer procedure.Objective The aim of our work is to describe our personal experience with robotic neck dissection surgery.Methods A retrospective study was conducted by ana
Human mesenchymal stromal cell (hMSC) therapy has been gaining teclado newskill blanco immense interest in regenerative medicine and quite recently for its immunomodulatory properties in COVID-19 treatment.Currently, the use of hMSCs for various diseases is being investigated in >900 clinical trials.Despite the huge effort, setting up consistent