Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Wenjing Mao"'
Publikováno v:
Journal of Safety Science and Resilience, Vol 5, Iss 1, Pp 37-46 (2024)
Outdoor cameras play an important role in monitoring security and social governance. As a common weather phenomenon, haze can easily affect the quality of camera shooting, resulting in loss and distortion of image details. This paper proposes an impr
Externí odkaz:
https://doaj.org/article/c7fa874fa57c48859e2fbfb88e48e7d5
Autor:
Wenjing Mao, Ying Huai, Lili An, Xuehao Wang, Kang Ru, Suryaji Patil, Wenjuan Zhang, Fanlei Ran, Zhihao Chen, Airong Qian
Publikováno v:
Space: Science & Technology, Vol 4 (2024)
With advancements in deep space exploration missions, long-term spaceflights pose potential hazards to the reproductive and developmental functions of astronauts. Embryonic stem cells (ESCs), which are crucial to the development and growth of individ
Externí odkaz:
https://doaj.org/article/445f35488b8e4d2683c7fb4579d0e130
Autor:
Ying Huai, Zhihao Chen, Xiaoni Deng, Xue Wang, Wenjing Mao, Zhiping Miao, Yu Li, Hui Li, Xiao Lin, Airong Qian
Publikováno v:
Genes and Diseases, Vol 10, Iss 2, Pp 377-380 (2023)
Externí odkaz:
https://doaj.org/article/7a0e2c0f53e34b55bf35829140304540
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 8, Pp 1395-1412 (2021)
Air pollution is a significant urban issue, with practical applications for pollution control, urban environmental management planning, and urban construction. However, owing to the complexity and differences in spatiotemporal changes for various typ
Externí odkaz:
https://doaj.org/article/c8449236a3f94f509b921b3b80a8082f
Publikováno v:
Cells, Vol 11, Iss 19, p 3023 (2022)
Liquid–liquid phase separation (LLPS) compartmentalizes and concentrates biomacromolecules into liquid-like condensates, which underlies membraneless organelles (MLOs) formation in eukaryotic cells. With increasing evidence of the LLPS concept and
Externí odkaz:
https://doaj.org/article/2fd06bb2b81b4bcbbba41370839e0157
Autor:
Jie Liu, Qiaoxia Yang, Xin Zhang, Qiuxing Lin, Yuan Yang, Dandan Guo, Wenjing Mao, Jun Tu, Zeping Liu, Jidong Li, Xianjia Ning, Jinghua Wang
Publikováno v:
Frontiers in Neurology, Vol 11 (2021)
This study aimed to explore trends in the burden from stroke associated with home quarantine during the COVID-19 pandemic. Patients with a first-ever stroke registered between January 1 and April 20 from 2010 to 2020 were included in this study. We c
Externí odkaz:
https://doaj.org/article/0efaf158cbef4ceea3b43bec8910485d
Publikováno v:
Geofluids, Vol 2021 (2021)
Many hydrate-bearing sediments in the Shenhu area of the South China Sea are featured with unconsolidated clayed silt, small particle size, and high content of clay, which can pose a great challenge for gas production. In order to investigate the gas
Externí odkaz:
https://doaj.org/article/107e3be04c4b42cfb7a03abbf408288d
Experimental Study on the Propagation Characteristics of Hydraulic Fracture in Clayey-Silt Sediments
Autor:
Cheng Lu, Xuwen Qin, Wenjing Mao, Chao Ma, Lantao Geng, Lu Yu, Hang Bian, Fanle Meng, Rongrong Qi
Publikováno v:
Geofluids, Vol 2021 (2021)
The low permeability of clayey-silt hydrate reservoirs in the South China Sea affects the thermal and pressure conductivity of the reservoir, which is difficult to spread to the far end of the wellbore and achieve commercial gas production. In this r
Externí odkaz:
https://doaj.org/article/4df7520256a140d9a57adb980445c2f9
Autor:
Jing Han, Wenjing Mao, Jingxian Ni, Yanan Wu, Jie Liu, Lingling Bai, Min Shi, Jun Tu, Xianjia Ning, Jinghua Wang
Publikováno v:
Frontiers in Neurology, Vol 11 (2020)
Recurrent stroke is becoming an increasingly important public health issue owing to the increased risk of disability and death. However, population-based studies investigating the rate of recurrent stroke in China are rare. We explored the rate and d
Externí odkaz:
https://doaj.org/article/ad636e904aa645d9b8e3af46d24e8ecf
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1284 (2021)
Deep learning provides a promising approach for air pollution prediction. The existing deep learning-based predicted models generally consider either the temporal correlations of air quality monitoring stations or the nonlinear relationship between t
Externí odkaz:
https://doaj.org/article/9364003ce97144918c974e584993357e