Recent advances in deep learning, especially deep convolutional neural networks, have led to great performance improvement over semantic segmentation systems.Unfortunately, training deep neural networks (DNNs) requires a humongous amount of labeled data, which is laborious and costly to collect and annotate.Thus, plenty of works have proposed an al
The Impact of the Deformation Phenomenon on the Process of Lubricating and Improving the Efficiency Between the Slipper and Swashplate in Axial Piston Machines
The process of lubricating a sliding interface between the Slipper and the swashplate in axial piston machines is a major solution Candles for the improvement of its efficiency and performance.This lubrication process is largely influenced by the phenomenon of the thermoelastic and hydrodynamic deformation of the solid-liquid structure on this inte
The Differences in Coping with Stress Between Male and Female High School Students in Mathematics Learning
The phenomenon of students experiencing stress in learning mathematics is commonplace in this era of globalization.It is not uncommon for students to feel afraid when facing material or assignments presented by teachers at school.Therefore, this research aims to identify stress-coping strategies used by high school students in dealing with mathemat
Placenta and appetite genes GDF15 and IGFBP7 are associated with hyperemesis gravidarum
Hyperemesis gravidarum (HG) is a severe form of nausea and vomiting associated with unfavourable outcomes during pregnancy.Here, Fejzo et al.perform Media genome-wide scans for HG and pregnancy nausea and vomiting and identify genetic associations at two loci implicating the Rug genes GDF15 and IGFBP7.