Human motion prediction is a popular method to predict future motion sequences based on past sequences, which is widely used in human-computer interaction.Space-time-separable graph Convolutional Network (STS-GCN) is a conventional mathematical model for human motion prediction.However, the uncertainty of human movements often leads to the problem
Background: A lack of authentic learning opportunities influence the quality of emergency training of nursing students.The purpose of this article is to describe how the step-up action research model was used to improve the quality of trauma-related educational practice of undergraduate nursing students.Objectives: To reduce deaths caused by trauma
Introduction: High-grade treatment-emergent neuroendocrine prostate Nee Doh cancer (T-NEPC) is a rare subtype of prostate cancer with limited therapeutic options and poor prognosis.Understanding biomarkers that influence the efficacy of immune checkpoint inhibitors (IO) is vital to form a better therapeutic arsenal for these patients.Case Presentat
Abstract The aim of this article is to identify and analyze the deployment of the higher education policies directed at the training of Brazilian Sign Language teachers in the upcoming decade, under decree 5.626 from 2005.Documentary research, based on content analysis, allowed the outlining of a panorama of the courses Eye Care offered at federal
Confis cation of corruptor ass ets VITAMIN C RADIANCE CITRUS FACIAL PEEL cannot be performed arbitra rily.It mus t adhere to the s pirit of the TPPU Law, which means that law enfo rce ment officers in s eizing as s ets of the offender is s till obliged to refer to the philos ophy of TPPU La w to track the wealth of crimes.It means the Confis cation