Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Xiaozheng, Du"'
Autor:
Conghui Xu, Weiyao Jing, Cui Liu, Bo Yuan, Xinghua Zhang, Limei Liu, Fengfan Zhang, Ping Chen, Qiang Liu, Haidong Wang, Xiaozheng Du
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Rheumatoid arthritis is a chronic autoimmune disease of undetermined etiology characterized by symmetric synovitis with predominantly destructive and multiple joint inflammation. Cytoplasmic DNA sensors that recognize protein molecules that are not t
Externí odkaz:
https://doaj.org/article/c05ef3bcd7454847b9012aca1265d132
Publikováno v:
大数据, Vol 10, Pp 17-31 (2024)
It has become a social consensus that data is the core strategic asset for enterprises.In the wave of digital transformation, businesses drive digitization through data resource utilization and commercialization to fully unleash data asset value.This
Externí odkaz:
https://doaj.org/article/1a49cb2c942342e5bee45ddff7e0c5e6
Autor:
Wenxi Shi, Xiang Zhao, Jiacheng Zhao, Siqing Zhao, Yinkun Guo, Naijing Liu, Na Sun, Xiaozheng Du, Mengmeng Sun
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 486-508 (2023)
Urban areas have higher heterogeneity compared to natural areas, it is crucial to assess fine-resolution land cover products and discover how they differ in urban areas so that they can be efficiently used for various application scenarios. In this s
Externí odkaz:
https://doaj.org/article/f9908e4cff3d456bb47bc2d2d54736a5
Autor:
Weiyao Jing, Cui Liu, Chenghong Su, Limei Liu, Ping Chen, Xiangjun Li, Xinghua Zhang, Bo Yuan, Haidong Wang, Xiaozheng Du
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovial inflammation, pannus formation, and bone and cartilage damage. It has a high disability rate. The hypoxic microenvironment of RA joints can cause reactive oxygen species (RO
Externí odkaz:
https://doaj.org/article/588d6adb9d43499d83dce58cb84c0101
Autor:
Baohui Mu, Xiang Zhao, Donghai Wu, Xinyan Wang, Jiacheng Zhao, Haoyu Wang, Qian Zhou, Xiaozheng Du, Naijing Liu
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 496 (2021)
It is confirmed that China has been greening over the last two decades. Such greening and its driving factors are therefore significant for understanding the relationship between vegetation and environments. However, studies on vegetation changes and
Externí odkaz:
https://doaj.org/article/4fdc11326f0f4a6eb289bce412996601
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 353 (2020)
The global land surface cover is undergoing extensive changes in the context of global change, especially in the Loess Plateau, where ecological restoration policies have been vigorously implemented since 2000. Evaluating the impact of these policies
Externí odkaz:
https://doaj.org/article/0e6d8f7415024094925dd885f78a2541
Autor:
Qian Wang, Donghai Wu, Xiang Zhao, Jiacheng Zhao, Xin Zhang, Haoyu Wang, Qian Zhou, Xiaozheng Du, Shunlin Liang
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:5479-5493
Dynamic land cover (LC) information is an essential part of environmental and ecological research. Therefore, acquiring dynamic LC data with high spatial resolution has attracted a great deal of attention in the remote sensing community. Nevertheless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fef5dae8340fa5787adf2db1fc0f826
https://doi.org/10.1109/tgrs.2020.3018109
https://doi.org/10.1109/tgrs.2020.3018109
Autor:
Qian Zhou, Xiang Zhao, Donghai Wu, Rongyun Tang, Xiaozheng Du, Haoyu Wang, Jiacheng Zhao, Peipei Xu, Yifeng Peng
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2452 (2019)
Worldwide urbanization leads to ecological changes around urban areas. However, few studies have quantitatively investigated the impacts of urbanization on vegetation coverage so far. As an important indicator measuring regional environment change, f
Externí odkaz:
https://doaj.org/article/410f91478c2544c5959d4ae588555296
Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning
Publikováno v:
Remote Sensing, Vol 11, Iss 14, p 1639 (2019)
Land cover classification data have a very important practical application value, and long time series land cover classification datasets are of great significance studying environmental changes, urban changes, land resource surveys, hydrology and ec
Externí odkaz:
https://doaj.org/article/2f980be7bb374beb9697001cadb7ffd4
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