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In order to improve the defect recognition efficiency of transmission lines, the industry is currently using aerial images for automatic visual defect detection to ensure the safe operation of transmission lines. This paper proposes a method for defect recognition from coarse to fine, based on convolutional neural networks and connected domain algorithms, to improve recognition accuracy. The recognition speed is improved by using the knowledge distillation method of target detection networks based on decoupled features, adversarial features, and attention features. It has been found that the optimized recognition model improves the precision rate by 7%, the recall rate by 8%, and the average accuracy rate by 10%. The FPS of the model optimized by knowledge distillation is 62.5, and the average value of the FPS of other versions of this model is 47.35. It is believed that the two optimization ideas introduced in this paper can enhance the previous transmission line defect recognition algorithm in terms of accuracy and recognition speed.

Gram-stain-negative, aerobic, rod-shaped, non-motile bacterium strain ZFBP2030T was isolated from a rock on the North slope of Mount Everest. This strain contained a unique ubiquinone-10 (Q-10) as a predominant respiratory quinone. Among the tested fatty acids, the strain contained summed feature 8, C14:0 2OH, and C16:0, as major cellular fatty acids. The polar lipid profile contained phosphatidyl glycerol, phosphatidyl ethanolamine, three unidentified phospholipids, two unidentified aminolipids, and six unidentified lipids. The cell-wall peptidoglycan was a meso-diaminopimelic acid, and cell-wall sugars were ribose and galactose. Phylogenetic analyses based on 16S rRNA gene sequence revealed that strain ZFBP2030T was a member of the genus Sphingomonas, exhibiting high sequence similarity to the 16S rRNA gene sequences of Sphingomonas aliaeris DH-S5T (97.9%), Sphingomonas alpina DSM 22537T (97.3%) and Sphingomonas hylomeconis CCTCC AB 2013304T (97.0%). The 16S rRNA gene sequence similarity between ZFBP2030T and other typical strains was less than 97.0%. The average amino acid identity values, average nucleotide identity, and digital DNA–DNA hybridization values between strain ZFBP2030T and its highest sequence similarity strains were 56.9–79.9%, 65.1–82.2%, and 19.3–25.8%, respectively. The whole-genome size of the novel strain ZFBP2030T was 4.1 Mbp, annotated with 3838 protein-coding genes and 54 RNA genes. Moreover, DNA G + C content was 64.7 mol%. Stress-related functions predicted in the subsystem classification of the strain ZFBP2030T genome included osmotic, oxidative, cold/heat shock, detoxification, and periplasmic stress responses. The overall results of this study clearly showed that strain ZFBP2030T is a novel species of the genus Sphingomonas, for which the name Sphingomonas endolithica sp. nov. is proposed. The type of strain is ZFBP2030T (= EE 013T = GDMCC 1.3123T = JCM 35386T). [ABSTRACT FROM AUTHOR]

Ecosystems away from human disturbance provide an ideal paradigm for microbial ecology research. The Burqin glacier No. 18 in the Chinese Altay Mountains is such an ecosystem; however, there are no prior studies on the microbiology in the area. Here, we isolated 902 bacterial strains on the Burqin glacier No. 18 to determine the diversity and distribution characteristics of microorganisms. Isolated strains belonged to six phyla (in the order of dominance: Proteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, Firmicutes, and Deinococcus-Thermus) and 90 genera. Our results also demonstrated the presence of a high proportion of potential new species (43%) in the Burqin glacier No. 18, and 67% of the potential new species were isolated at 25 °C. Species diversity varied among habitats, with the lowest diversity in surface ice and the highest diversity in the soil farthest from the glacier terminus. The pigmented colonies made up 52.7% of all isolates, with yellow-colored colonies being the most abundant (18.8%). This study indicates that the Burqin glacier No. 18 hosts rich bacterial strain diversity, and may represent a significant potential source of new functional and pigmented bacteria for the development of critical pharmaceuticals. [ABSTRACT FROM AUTHOR]