Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Lianfeng li"'
Autor:
Hongwei Cao, Hao Deng, Yanjin Wang, Diqiu Liu, Lianfeng Li, Meilin Li, Dingkun Peng, Jingwen Dai, Jiaqi Li, Huaji Qiu, Su Li
Publikováno v:
Viruses, Vol 16, Iss 7, p 1058 (2024)
The B169L protein (pB169L) of African swine fever virus (ASFV) is a structural protein with an unidentified function during the virus replication. The sequences of the B169L gene and the downstream B438L gene are separated by short intergenic regions
Externí odkaz:
https://doaj.org/article/b9807765479940e8a35f182b913e5ea3
Autor:
Lianfeng Li, Yaobing Chen, Wei Liao, Qimei Yu, Hui Lin, Yuqin Shi, Ling Zhang, Guoqing Fu, Zhenyu Wang, Xi Li, Xianrong Kong, Ting Zhou, Lingzhi Qin
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Lung cancer is the leading cause of malignancy-related mortality and lung adenocarcinoma accounts for about 40% of lung malignancies. The aim of this study was to investigate the associations of intraflagellar transport protein 20
Externí odkaz:
https://doaj.org/article/7998d348d5f640c798460c645c87046a
Publikováno v:
Frontiers in Veterinary Science, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/6f3a0ea5692d4dc48e10bd85d9bf66c8
Publikováno v:
Frontiers in Energy Research, Vol 10 (2023)
Lithium battery has been widely applied as new energy to cope with pressures in both form environment and energy. The remaining useful life (RUL) prognostics of lithium-ion batteries have become more critical. Convenient battery life prediction allow
Externí odkaz:
https://doaj.org/article/b2eedb38f7ef45b8af1f803ba91c78a7
Autor:
Jianqing Xu, Zhihong Ren, Kangli Cao, Xianping Li, Jing Yang, Xuelian Luo, Lingyan Zhu, Xiangwei Wang, Longfei Ding, Junrong Liang, Dong Jin, Tingting Yuan, Lianfeng Li, Jianguo Xu
Publikováno v:
Frontiers in Nutrition, Vol 8 (2021)
Boosting and prolonging SARS-CoV-2 vaccine-elicited immunity is paramount for containing the COVID-19 pandemic, which wanes substantially within months after vaccination. Here we demonstrate that the unique strain of probiotic Lactobacillus plantarum
Externí odkaz:
https://doaj.org/article/6b5a93f1eb694f8d8eaec9d483549610
Autor:
Yanling Hu, Aihua Tan, Lei Yu, Chenyang Hou, Haofa Kuang, Qunying Wu, Jinghan Su, Qingniao Zhou, Yuanyuan Zhu, Chenqi Zhang, Wei Wei, Lianfeng Li, Weidong Li, Yuanjie Huang, Hongli Huang, Xing Xie, Tingxi Lu, Haiying Zhang, Xiaobo Yang, Yong Gao, Tianyu Li, Yonghua Jiang, Zengnan Mo
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background Phenomics provides new technologies and platforms as a systematic phenome-genome approach. However, few studies have reported on the systematic mining of shared genetics among clinical biochemical indices based on phenomics method
Externí odkaz:
https://doaj.org/article/d086f7479f584b2fa54fe7cb0eedca4a
Autor:
Bing Wang, Hongxia Wu, Hansong Qi, Hanglin Li, Li Pan, Lianfeng Li, Kehui Zhang, Mengqi Yuan, Yimin Wang, Hua-Ji Qiu, Yuan Sun
Publikováno v:
Viruses, Vol 14, Iss 5, p 1067 (2022)
Pseudorabies virus (PRV) is the causative agent of pseudorabies (PR). It can infect a wide range of mammals. PRV infection can cause severe acute neuropathy (the so-called “mad itch”) in nonnatural hosts. PRV can infect the peripheral nervous sys
Externí odkaz:
https://doaj.org/article/8f8010a4954f497a9e26194a7cffc3a6
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
The main challenge of fault diagnosis lies in finding good fault features. A deep learning network has the ability to automatically learn good characteristics from input data in an unsupervised fashion, and its unique layer-wise pretraining and fine-
Externí odkaz:
https://doaj.org/article/dc35be2e73024045be88fd96170d6f08
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
The fault diagnosis of hydraulic pumps is currently important and significant to ensure the normal operation of the entire hydraulic system. Considering the nonlinear characteristics of hydraulic-pump vibration signals and the mode mixing problem of
Externí odkaz:
https://doaj.org/article/43659224303049ad9570d64c8a094083
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-8