Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Junfeng, Guo"'
Publikováno v:
PeerJ, Vol 12, p e18348 (2024)
tRNA-derived small RNAs (tsRNAs) are a novel class of small noncoding RNAs, precisely cleaved from tRNA, functioning as regulatory molecules. The topic of tsRNAs in injuries has not been extensively discussed, and studies on tsRNAs are entering a new
Externí odkaz:
https://doaj.org/article/41ec3992ae1e45fb92303fbc077012fa
Autor:
Deng Wang, Yaqin Qiang, Junfeng Guo, Jean Vannier, Zuchen Song, Jiaxin Peng, Boyao Zhang, Jie Sun, Yilun Yu, Yiheng Zhang, Tao Zhang, Xiaoguang Yang, Jian Han
Publikováno v:
eLife, Vol 13 (2024)
Extant ecdysozoans (moulting animals) are represented by a great variety of soft-bodied or articulated organisms that may or may not have appendages. However, controversies remain about the vermiform nature (i.e. elongated and tubular) of their ances
Externí odkaz:
https://doaj.org/article/65964787044943be85a98e11db928c0d
Autor:
Junfeng Guo, Rufu Xu, Rongxing Liu, Wenjing Lai, Changpeng Hu, Haitao He, Gang Zhang, Guobing Li, Weiwei Zheng, Rong Zhang
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-11 (2024)
Abstract Background Periodontitis is a chronic oral inflammatory disease that seriously affects people's quality of life. The purpose of our study was to investigate the correlation between the systemic immune inflammation index (SII) and periodontit
Externí odkaz:
https://doaj.org/article/144ae25e42ff459790ab7b14338f6e75
Publikováno v:
Fractal and Fractional, Vol 8, Iss 11, p 637 (2024)
This paper investigates the exponential quasi-synchronization of fractional-order fuzzy cellular neural networks with parameters mismatch via impulsive control. Firstly, under the framework of the generalized Caputo fractional-order derivative, a new
Externí odkaz:
https://doaj.org/article/636e5cff5b304891b34fd7abdac1410f
Autor:
Yan Zhang, Junfeng Guo, Zhaoxiang Tang, Chuyue Tang, Yiang Li, Xu Tao, Binghua Zhou, Wan Chen, Lin Guo, Kanglai Tang, Taotao Liang
Publikováno v:
Biosensors and Bioelectronics: X, Vol 17, Iss , Pp 100424- (2024)
Biosensing platforms have become increasingly important in our daily lives due to their ability to provide real-time monitoring with low cost, high sensitivity, and specificity. Carbon nanotubes possess unique optical, electrical, and physical/chemic
Externí odkaz:
https://doaj.org/article/227b5eacfafd4fa9b22545ed45e6c3f0
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic disease with an unclear etiology and no effective treatment. This study aims to elucidate the pathogenic mechanism networks involving multiple targets and pathways in IPF
Externí odkaz:
https://doaj.org/article/8e12c861a4b34211bb314f9278232ccd
Autor:
Junfeng Guo, Rongxing Liu, Fangfang Sheng, Qiuxiang Wu, Rufu Xu, Haitao He, Gang Zhang, Junjie Huang, Zhe Zhang, Rong Zhang
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Background: Recent reports have suggested that antihypertensive drugs may play an oncogenic role in common cancers, but it is still uncertain whether this could influence the risk of oral cancer. Through two-sample Mendelian randomization (MR), we so
Externí odkaz:
https://doaj.org/article/a85e99553b8f435bade98eaf6e3e3865
Autor:
Xiaogang Guo, Taotao Liang, Junfeng Guo, Huisheng Huang, Shuying Kong, Jianwei Shi, Binfang Yuan, Qi Sun
Publikováno v:
Defence Technology, Vol 20, Iss , Pp 84-92 (2023)
For solving the dilemma of the short exothermic life-span of WO3 based metastable interstitial composites (MICs) with extensive application prospect, this paper has firstly designed the promising anti-wetting Al/WO3 MICs via electrophoresis assembly
Externí odkaz:
https://doaj.org/article/b0588a2b8c794db9b9ab6bf1ffb82c9f
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract To improve the reliability and reduce the maintenance cost of transformer oil, a life prediction of transformer oil is needed so that the maintenance of transformer can be performed correctly. However, it is difficult to predict the reliable
Externí odkaz:
https://doaj.org/article/2831738beb934aeabdad8b6ecd17f7c9
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2653 (2024)
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a
Externí odkaz:
https://doaj.org/article/66034f2a3a7040a882086f4db23ba53c