With the increasing demand for real-world scenarios such as robot navigation and autonomous
driving, how to achieve a good trade-off between segmentation accuracy, inference …

YOLOv4-tiny is a simplified version of YOLOv4 detector, which is extremely fast and with few
parameters. However, the detection performance of YOLOv4-tiny is poor while the …

The classic inverted residual block has been used in the design of existing lightweight neural
network models, but it still has a large number of parameters and calculations, and there is …

Epigallocatechin gallate (EGCG), a prominent bioactive compound found in tea, offers
numerous health benefits. Previous studies have highlighted its potential in mitigating …

Background The present study constructed and validated the use of contrast‐enhanced
computed tomography (CT)‐based radiomics to preoperatively predict microvascular invasion (…

The enterovirus A71 (EV71) inactivated vaccine is an effective intervention to control the
spread of the virus and prevent EV71-associated hand, foot, and mouth disease (HFMD). It is …

The degrees of indica-japonica differentiation of photosensitive and thermosensitive genetic
male sterile lines Peiai64S, N422S, 108S and LS2S, and 57 restorer lines were …

Low rank representation of a matrix can reduce or eliminate the statistical redundancy among
its components, and enable a lower dimensional representation without significant loss of …

Recent advances in systemic and locoregional treatments for patients with unresectable or
advanced hepatocellular carcinoma (HCC) have resulted in improved response rates. This …

Matrix low rank approximation is an effective method to reduce or eliminate the statistical
redundancy of its components. Compared with the traditional global low rank methods such as …