Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Kangjun Liu"'
Autor:
Luying Cui, Min Zhang, Fangling Zheng, Changning Yuan, Zhihao Wang, Shangfei Qiu, Xia Meng, Junsheng Dong, Kangjun Liu, Long Guo, Heng Wang, Jianji Li
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-12 (2024)
Abstract Background An elevated endogenous cortisol level due to the peripartum stress is one of the risk factors of postpartum bovine uterine infections. Selenium is a trace element that elicits anti-inflammation and antioxidation properties. This s
Externí odkaz:
https://doaj.org/article/cfdeab44d8d148d4906aaf0fa2400e11
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-13 (2024)
Abstract Background Endometritis is a common bovine postpartum disease. Rapid endometrial repair is beneficial for forming natural defense barriers and lets cows enter the next breeding cycle as soon as possible. Selenium (Se) is an essential trace e
Externí odkaz:
https://doaj.org/article/a45b2dd0f0de48ec9ca8c835d2e4570f
Autor:
Zhihao Wang, Long Guo, Changning Yuan, Chengcheng Zhu, Jun Li, Haoran Zhong, Peng Mao, Jianji Li, Luying Cui, Junsheng Dong, Kangjun Liu, Xia Meng, Guoqiang Zhu, Heng Wang
Publikováno v:
Virulence, Vol 15, Iss 1 (2024)
ABSTRACTStaphylococcus pseudintermedius (S. pseudintermedius) is a common pathogen that causes canine corneal ulcers. However, the pathogenesis remained unclear. In this study, it has been demonstrated that S. pseudintermedius invaded canine corneal
Externí odkaz:
https://doaj.org/article/9fbde1d001a04947a765c455fa7af021
Autor:
Junsheng Dong, Bowen Ji, Yeqi Jiang, Fan Fei, Long Guo, Kangjun Liu, Luying Cui, Xia Meng, Jianji Li, Heng Wang
Publikováno v:
Animals, Vol 14, Iss 19, p 2876 (2024)
Endometritis represents a prevalent condition in perinatal dairy cows. Bovine endometrial epithelial cells (BEECs), as the primary interface between cavity and the external environment, are particularly vulnerable to infection by pathogenic bacteria
Externí odkaz:
https://doaj.org/article/9e943eeba9244e5a94d656c8242ad573
Autor:
Kangjun Liu, Luyao Tao, Jianji Li, Li Fang, Luying Cui, Jun Li, Xia Meng, Guoqiang Zhu, Chongliang Bi, Heng Wang
Publikováno v:
Frontiers in Veterinary Science, Vol 7 (2020)
Bovine mastitis is a prevalent disease that causes serious economic problems globally in the dairy industry. Staphylococcus aureus is an important pathogen of bovine mastitis. This study was conducted to characterize S. aureus isolates from clinical
Externí odkaz:
https://doaj.org/article/4028972ed08646e6bb1e4a1c603f6e19
Autor:
Kangjun Liu, Tao Ding, Li Fang, Luying Cui, Jun Li, Xia Meng, Guoqiang Zhu, Chen Qian, Heng Wang, Jianji Li
Publikováno v:
Frontiers in Veterinary Science, Vol 7 (2020)
Mastitis is an economically important disease in dairy cows, which is often caused by Staphylococcus aureus (S. aureus). Selenium is an indispensable element for physiological function and contributes to reduce injury of the mammary glands in mastiti
Externí odkaz:
https://doaj.org/article/0aa75f162c08478994590c9f46d97b46
Autor:
Luying Cui, Jiaqi Zhang, Jing Guo, Min Zhang, Wenjie Li, Junsheng Dong, Kangjun Liu, Long Guo, Jun Li, Heng Wang, Jianji Li
Publikováno v:
Journal of Cellular and Molecular Medicine. 27:1373-1383
PINK1/Parkin‐mediated mitophagy enhances the survival of Staphylococcus aureus in bovine macrophages
Autor:
Xi Zhou, Kangjun Liu, Jianji Li, Luying Cui, Junsheng Dong, Jun Li, Xia Meng, Guoqiang Zhu, Heng Wang
Publikováno v:
Journal of Cellular and Molecular Medicine. 27:412-421
Autor:
Luying Cui, Jing Guo, Qi Zhang, Jiaqi Zhang, Changning Yuan, Junsheng Dong, Kangjun Liu, Long Guo, Jun Li, Heng Wang, Jianji Li
Postpartum uterine infections can cause endometrial inflammation and oxidative damage. Progesterone makes the animal more susceptible to uterine infections, and has been proved to inhibit uterine innate immunity and reduce tissue oxidative damage. Bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47ddb1918e45a5ee143907cf1ac9e284
https://doi.org/10.21203/rs.3.rs-1021821/v2
https://doi.org/10.21203/rs.3.rs-1021821/v2
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
Fine-grained visual classification can be addressed by deep representation learning under supervision of manually pre-defined targets (e.g., one-hot or the Hadamard codes). Such target coding schemes are less flexible to model inter-class correlation