Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Jialin Tang"'
Publikováno v:
Environment International, Vol 189, Iss , Pp 108812- (2024)
The linkage between biocides and antibiotic resistance has been widely suggested in laboratories and various environments. However, the action mechanism of biocides on antibiotic resistance genes (ARGs) spread is still unclear. Thus, 6 quaternary amm
Externí odkaz:
https://doaj.org/article/afbd9a309cb740d3b13edf947abf6006
Autor:
Chengbo Li, Yuan Ji, Youpeng Wang, Chunxiao Liu, Zhaoyang Chen, Jialin Tang, Yawei Hong, Xu Li, Tingting Zheng, Qiu Jiang, Chuan Xia
Publikováno v:
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-44 (2023)
Highlights The electrochemical techniques utilizing metal-organic frameworks (MOFs)-based catalysts for converting CO2 into chemical species are discussed. The structure–activity relationship of MOF-based catalysts in electrocatalytic CO2 reduction
Externí odkaz:
https://doaj.org/article/c851efb6a62348b992106665cacaadfe
Publikováno v:
Carbon Trends, Vol 11, Iss , Pp 100260- (2023)
Machine learning interatomic potentials (MLIPs) are emerging as a powerful tool to achieve efficient atomistic simulations with DFT-level accuracy, which can greatly enhance the capability of modeling more realistic systems. However, training high-qu
Externí odkaz:
https://doaj.org/article/d4478ae3583e4cf686e350ee88fc03f3
Autor:
Yunting Lai, Zhuang Zhou, Binghua Su, Zhe Xuanyuan, Jialin Tang, Jinghui Yan, Wanxin Liang, Jiongjiang Chen
Publikováno v:
Frontiers in Marine Science, Vol 9 (2023)
Externí odkaz:
https://doaj.org/article/10c4e4dcfe764159b165375b1b324473
Autor:
Jiongjiang Chen, Jialin Tang, Shounan Lin, Wanxin Liang, Binghua Su, Jinghui Yan, Dujuan Zhou, Lili Wang, Yunting Lai, Benxi Yang
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
Ocean exploration has always been an important strategic direction for the joint efforts of all mankind. Many countries in the world today are developing their own underwater autonomous explorers to better explore the seabed. Vision, as the core tech
Externí odkaz:
https://doaj.org/article/536232250abf4f7d881a6efbfef1fad0
Autor:
Jinghui Yan, Zhuang Zhou, Dujuan Zhou, Binghua Su, Zhe Xuanyuan, Jialin Tang, Yunting Lai, Jiongjiang Chen, Wanxin Liang
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
For the routine target detection algorithm in the underwater complex environment to obtain the image of the existence of blurred images, complex background and other phenomena, leading to difficulties in model feature extraction, target miss detectio
Externí odkaz:
https://doaj.org/article/4579f5f028bd4d3290d6ae324bcb59ab
Autor:
Yunting Lai, Zhuang Zhou, Binghua Su, Zhe Xuanyuan, Jialin Tang, Jinghui Yan, Wanxin Liang, Jiongjiang Chen
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
High quality underwater images and videos are important for exploitation tasks in the underwater environment, but the complexity of the underwater imaging environment makes the quality of the acquired underwater images generally low. To correct the c
Externí odkaz:
https://doaj.org/article/a35fd7933daa4d52aefbb984ab81d155
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Non-homologous end joining (cNHEJ) is a major pathway to repair double-strand breaks (DSBs) in DNA. Several core cNHEJ are involved in the progress of the repair such as KU70 and 80, DNA-dependent protein kinase catalytic subunit (DNA-PKcs), Artemis,
Externí odkaz:
https://doaj.org/article/c48a3730c87b4ded81acc7b9b51d80d3
Publikováno v:
IEEE Access, Vol 8, Pp 143375-143382 (2020)
In view of the long computation time and low registration accuracy of the current point cloud registration algorithm, a point cloud registration algorithm based on the grey wolf optimizer (GWO) is proposed, denoted PCR-GW. The algorithm uses the cent
Externí odkaz:
https://doaj.org/article/101cea9171ba47a0906978bba6281bdc
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0274616 (2022)
Various physical information can be leaked while the encryption algorithm is running in the device. Side-channel analysis exploits these leakages to recover keys. Due to the sensitivity of deep learning to the data features, the efficiency and accura
Externí odkaz:
https://doaj.org/article/4ae8c810193e4747afdc68de0e6e62b6