Publications by authors named "Xiu-Cheng Wang"
Article Synopsis
- Neural networks can be easily compromised by small, unnoticed attacks, but the reasons for this vulnerability aren't fully understood yet.
- The study investigates the trade-off between the accuracy of neural networks and their ability to withstand these attacks, using the "uncertainty principle" as a framework.
- As neural networks improve in accuracy, they become more prone to adversarial threats, and the research applies concepts from quantum mechanics to analyze and explain this relationship.
Paenibacillus rhizoryzae sp. nov., isolated from rice rhizosphere.
Int J Syst Evol Microbiol
September 2015
A Gram-stain-positive, endospore-forming, rod-shaped bacterium, designated 1ZS3-5(T), was isolated from rice rhizosphere in Hunan Province, PR China. The isolate was identified as a member of the genus Paenibacillus on the basis of phenotypic characteristics and phylogenetic inference analysis. The 16S rRNA and rpoB gene (β-subunit of bacterial RNA polymerase) sequences were closely related to those of Paenibacillus taihuensis CGMCC 1.
View Article and Find Full Text PDFRhizobium oryzicola sp. nov., potential plant-growth-promoting endophytic bacteria isolated from rice roots.
Int J Syst Evol Microbiol
September 2015
Bacterial strains ZYY136(T) and ZYY9 were isolated from surface-sterilized rice roots from a long-term experiment of rice-rice--Astragalus sinicus rotation. The 16S rRNA gene sequences of strains ZYY136(T) and ZYY9 showed the highest similarity, of 97.0%, to Rhizobium tarimense PL-41(T).
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