Previous work found that the co-occurring mutations R203K/G204R on the SARS-CoV-2
nucleocapsid (N) protein are increasing in frequency among emerging variants of concern or …

We propose DeepPCC, an end-to-end learning-based approach for the lossy compression
of large-scale object point clouds. For both geometry and attribute components, we introduce …

Entomopathogenic fungi are the key regulators of insect populations and some of them are
important biological agents used in integrated pest management strategies. Compared with …

Learning-based point cloud compression has exhibited superior coding performance over
the traditional methods such as MEPG G-PCC. Considering that conventional point cloud …

Flavonoid O-glycosylation, catalyzed by uridine diphosphate (UDP)–glycosyltransferases, is
crucial for their therapeutic efficacy. However, most UDP-glycosyltransferases encounter …

Although the multiscale sparse tensor using stacked convolutions has attained noticeable
gains for lossy compression of point cloud geometry (PCG), its capability suffers because …

Zinc alpha2 glycoprotein (ZAG) plays an important role in stimulating fat mobilization and
lipolysis in adipose tissue, but its role in hepatic lipid metabolism remains unclear. Palmitic …

The stability of free-standing silicene in oxygen is worthwhile discussing. In this letter, the
oxygen adsorption and dissociation on free-standing silicene is studied using first principles. It …

The lossy Geometry-based Point Cloud Compression (G-PCC) inevitably impairs the
geometry information of point clouds, which deteriorates the quality of experience (QoE) in …

The standardized Geometry-based Point Cloud Compression (G-PCC) suffers from limited
coding performance and low-quality reconstruction. To address this, we propose AuxGR, a …