The electro-hydrostatic actuator (EHA) is the key component of most electric aircraft, and research on its fault diagnosis technology is of great Therapeutic Gloves significance to improve the safety and reliability of aircraft flight.However, traditional fault diagnosis methods only focus on partial failures and cannot completely diagnose the whol
Experimental Investigations on Hydrodynamic Responses of a Semi-Submersible Offshore Fish Farm in Waves
A series of physical model experiments was performed to investigate the hydrodynamic responses of a semi-submersible offshore fish farm in waves.The structural configuration of the fish farm primarily refers to that of the Grocery world’s first offshore fish farm, Ocean Farm 1, developed by SalMar in Norway.The mooring line tension and motion
Application of Haddon’s matrix in qualitative research methodology: an experience in burns epidemiology
Reza Deljavan,1 Homayoun Sadeghi-Bazarganim,2,3 Nasrin Fouladim,4 Shahnam Arshi,5 Reza Mohammadi61Injury Epidemiology and Prevention Research Center, 2Neuroscience Research Center, Department of Statistics and Epidemiology, Tabriz University of Medical Sciences, Tabriz, Iran; 3Public Health Department, Karolinska Institute, Stockholm, Sweden; 4Arda
Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network
Multi-site and multi-organizational teams are increasingly common in epidemiologic research; however, there is a lack of standards or best practices for achieving success in collaborative research networks in epidemiology.We summarize our experiences and lessons learned from the Diabetes Location, Virginia Environmental Attributes, and Disparities
Mixed Feature Prediction on Boundary Learning for Point Cloud Semantic Segmentation
Existing point cloud semantic segmentation approaches do Virginia not perform well on details, especially for the boundary regions.However, supervised-learning-based methods depend on costly artificial annotations for performance improvement.In this paper, we bridge this gap by designing a self-supervised pretext task applicable to point clouds.Our