Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Yahui Ding"'
Autor:
Yuetong Wang, Qiaoming Li, Yahui Ding, Chenfei Luo, Jun Yang, Na Wang, Ning Jiang, Tiange Yao, Guohao Wang, Guoming Shi, Steven X. Hou
Publikováno v:
Advanced Science, Vol 11, Iss 39, Pp n/a-n/a (2024)
Abstract The small G protein Arf1 has been identified as playing a selective role in supporting cancer stem cells (CSCs), making it an attractive target for cancer therapy. However, the current Arf1 inhibitors have limited translational potential due
Externí odkaz:
https://doaj.org/article/3123fbd059c74f3b8874b217b59b7168
Publikováno v:
IEEE Access, Vol 12, Pp 129733-129752 (2024)
Ink painting represents a distinguished traditional art form in China. In recent years, numerous researchers have employed deep learning techniques to investigate ink wash style transfer. However, there has been a notable oversight regarding the impa
Externí odkaz:
https://doaj.org/article/930435a278944f5f93ac4d364d0caf85
Autor:
Huiting Deng, Hailin Liu, Guoyue Yang, Dandan Wang, Ying Luo, Chenglong Li, Zhenchang Qi, Zhili Liu, Peng Wang, Yanfang Jia, Yingtang Gao, Yahui Ding
Publikováno v:
Oncogenesis, Vol 12, Iss 1, Pp 1-12 (2023)
Abstract Lung cancer is the most lethal malignancies with high aggressive and poor prognosis. Until now, the five-year survival rate has not been improved which brings serious challenge to human health. Lung cancer stem cells (LCSCs) serve as the roo
Externí odkaz:
https://doaj.org/article/287f918620fd4c0da7d4964d52943a71
Autor:
Huabin Chai, Hui Xu, Jibiao Hu, Sijia Geng, Pengju Guan, Yahui Ding, Yuqiao Zhao, Mingtao Xu, Lulu Chen
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1748 (2024)
To attain precise forecasts of surface displacements and deformations in goaf areas (a void or cavity that remains underground after the extraction of mineral resources) following coal extraction, this study based on the limitations of individual tim
Externí odkaz:
https://doaj.org/article/4732250488c6495292a1be350a5ace43
Research on Mining Subsidence Prediction Parameter Inversion Based on Improved Modular Vector Method
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13272 (2023)
In this study conducted in the Shendong mining area, this paper tackles the challenge of estimating mining subsidence parameters in the absence of empirical values. The study employs a tailored pattern recognition method specifically designed for min
Externí odkaz:
https://doaj.org/article/eb864e6ae9f74bfa9e28a1a4334d7fe4
Publikováno v:
Sensors, Vol 24, Iss 1, p 194 (2023)
Microwave medical sensing and imaging (MMSI) is a highly active research field. In MMSI, electromagnetic inverse scattering (EIS) is a commonly used technique that infers the internal characteristics of the diseased area by measuring the scattered fi
Externí odkaz:
https://doaj.org/article/f8ae073a85f341058b91391f4d363c61
Autor:
Yahui Ding, Liwen Xing, Jiamin Xu, Teng Jiang, Xiuhua Tang, Yaxuan Wang, Shuhua Huang, Wenfang Hao, Xiaona Zhou, Yanfeng Zhang, Chang Gen Xie
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
The Gly-Asp-Ser-Leu (GDSL)-type esterase/lipase proteins (GELP) are one of the most important families of lipolytic enzymes and play prominent roles in seed germination and early seedling establishment through mobilizing the lipids stored in seeds. H
Externí odkaz:
https://doaj.org/article/f1800d2a1d844e4e84b8038f7fe2a561
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12596 (2023)
Investigating the spatiotemporal variations in the Normalized Difference Vegetation Index (NDVI) in the Shanxi section of the Yellow River Basin and its coal mining areas holds significant importance for dynamic vegetation monitoring and mining area
Externí odkaz:
https://doaj.org/article/dfb4efd996294b0e8870fd76e841e8cf
Publikováno v:
Sensors, Vol 23, Iss 17, p 7404 (2023)
Microwave medical sensing and imaging (MMSI) has been a research hotspot in the past years. Imaging algorithms based on electromagnetic inverse scattering (EIS) play a key role in MMSI due to the super-resolution phenomenon. EIS problems generally em
Externí odkaz:
https://doaj.org/article/6a320aeeacc44a39bdf4b1ab9940d554
Autor:
Ning Sun, Beibei Fan, Yahui Ding, Yuanjinsheng Liu, Yuyun Bi, Patience Afi Seglah, Chunyu Gao
Publikováno v:
Sensors, Vol 23, Iss 6, p 3307 (2023)
Agricultural sensors are essential technologies for smart agriculture, which can transform non-electrical physical quantities such as environmental factors. The ecological elements inside and outside of plants and animals are converted into electrica
Externí odkaz:
https://doaj.org/article/212278fd97444dcebe8f72ccef04189c