Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Zeqiang Chen"'
Autor:
Xuyang Hu, Jinxin Huang, Ziyu Li, Jianjian Li, Fangru Ouyang, Zeqiang Chen, Yiteng Li, Yuanzhe Zhao, Jingwen Wang, Shuisheng Yu, Juehua Jing, Li Cheng
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-23 (2024)
Abstract Lactate-derived histone lactylation is involved in multiple pathological processes through transcriptional regulation. The role of lactate-derived histone lactylation in the repair of spinal cord injury (SCI) remains unclear. Here we report
Externí odkaz:
https://doaj.org/article/03a503f1f79e49e588b3cf315f4cdada
Autor:
Jinxin Huang, Xuyang Hu, Zeqiang Chen, Fangru Ouyang, Jianjian Li, Yixue Hu, Yuanzhe Zhao, Jingwen Wang, Fei Yao, Juehua Jing, Li Cheng
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-16 (2024)
Abstract Background Mechanical softening of the glial scar region regulates axonal regeneration to impede neurological recovery in central nervous system (CNS) injury. Microglia, a crucial cellular component of the glial scar, facilitate neuronal sur
Externí odkaz:
https://doaj.org/article/a4e1f134f72e49f9b37966da99639358
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The urban traffic signal-controlled intersections are of great significance for solving the problem of urban road congestion. Previous research on congestion prediction mainly aggregated data at the level of road segments or traffic flow at a coarse
Externí odkaz:
https://doaj.org/article/ac0f8fa826774d0a872d9c548e056a3f
Autor:
Jing Zhang, Fan Deng, Yonghua Wang, Jie Gong, Ziyang Liu, Wenjun Liu, Yinmei Zeng, Zeqiang Chen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18182-18198 (2024)
Nowadays, the intricate nature of synthetic aperture radar (SAR) ship scenes, coupled with the presence of multiscale targets, poses a significant challenge in detection accuracy. Furthermore, to reduce the financial outlay on hardware, there is also
Externí odkaz:
https://doaj.org/article/e9ab120ad48d49e3b3a76c88bef789ff
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3425-3437 (2024)
Accurate prediction of vegetation indices is useful for helping maintain vegetation stability, sustaining food production, and reducing socioeconomic losses. The traditional convolutional long short-term memory (ConvLSTM) model for vegetation predict
Externí odkaz:
https://doaj.org/article/d9cd114c4cd34460b946d1579986be56
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 52, Iss , Pp 101715- (2024)
Study region: Poyang Lake and East Dongting Lake, China. Study focus: On the basis of data on the extent of the inundation of water bodies, the water level, and DEM data, this study constructed an hourly flood inundation dataset (PDFID) for the East
Externí odkaz:
https://doaj.org/article/d3cb6a644c364adea1186ada29430c79
Autor:
Wenying Du, Qingyun Xia, Bingqing Cheng, Lei Xu, Zeqiang Chen, Xiang Zhang, Min Huang, Nengcheng Chen
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2734 (2024)
Frequent flooding seriously affects people’s safety and economic construction, and assessing the inundation probability can help to strengthen the capacity of emergency management of floods. There are currently two general means of flood sensing: p
Externí odkaz:
https://doaj.org/article/a6aee05d51734665aa3cef535211d14d
Autor:
Yunbo Zhang, Jie Li, Mu Duan, Wenjie Chen, Joaquin del Rio, Xiang Zhang, Ke Wang, Steve H.L. Liang, Zeqiang Chen, Nengcheng Chen, Chuli Hu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103601- (2023)
Significant advancements in Earth Observation (EO) technologies, encompassing global remote sensing and environment sensor networks, have greatly progressed the field of earth science. The management of EO sensors is crucial in collecting effective a
Externí odkaz:
https://doaj.org/article/8aee1f03573243de969c694046ee8048
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 48, Iss , Pp 101474- (2023)
Study region: The Jinsha River (JRB) and Han River basins (HRB), China. Study focus: Due to challenges in interpreting neural network algorithms in hydrological runoff processes, our research focuses on enhancing the temporal dependency and spatial c
Externí odkaz:
https://doaj.org/article/70dd885101884310b19135a2f9ac60fe
Publikováno v:
Earthquake Research Advances, Vol 3, Iss 3, Pp 100232- (2023)
The Anninghe fault is a major left-lateral strike-slip fault in southwest China and a seismic gap with a potential earthquake larger than MW 7.0 lies in the Mianning-Xichang segment according to recent observations. The shallow structure of this regi
Externí odkaz:
https://doaj.org/article/b989d00a2a184b98a0a1b3a66562dd2b