Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Fuming Xie"'
Autor:
Jianyou Gu, Wenying Zhang, Xianxing Wang, Qiang Zhou, Junfeng Zhang, Fuming Xie, Renpei Xia, Zhe-Sheng Chen, Huaizhi Wang
Publikováno v:
Chinese Medicine, Vol 19, Iss 1, Pp 1-5 (2024)
Abstract In the context of globalization, the integration of cultural elements into scientific research, particularly through the incorporation of traditional Chinese cultural motifs in scientific illustrations, represents a novel frontier in enhanci
Externí odkaz:
https://doaj.org/article/090779e0c62342c09c4978e86b5966c1
Autor:
Jianyou Gu, Wenying Zhang, Xianxing Wang, Qiang Zhou, Junfeng Zhang, Fuming Xie, Renpei Xia, Zhe-Sheng Chen, Huaizhi Wang
Publikováno v:
Chinese Medicine, Vol 19, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/ece889880d2c4cc8b46bde6112af9d80
Autor:
Xin Yang, Fuming Xie, Shiyin Liu, Yu Zhu, Jinghui Fan, Hongli Zhao, Yuying Fu, Yunpeng Duan, Rong Fu, Siyang Guo
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2062 (2024)
Glacier inventories are fundamental in understanding glacier dynamics and glacier-related environmental processes. High-resolution mapping of glacier outlines is lacking, although high-resolution satellite images have become available in recent decad
Externí odkaz:
https://doaj.org/article/b5d8925999ee4cbaa55e08ef417de407
CircPTPRA promotes the progression of pancreatic ductal adenocarcinoma via the miR‐140‐5p/LMNB1 axis
Autor:
Wen Fu, Xianxing Wang, Jifeng Xiang, Shengkai Chen, Renpei Xia, Fuming Xie, Bojing Chi, Fanbo Qin, Zhuo Li, Li Mou, Chuanming Xie, Huaizhi Wang
Publikováno v:
Cancer Medicine, Vol 12, Iss 10, Pp 11651-11671 (2023)
Abstract Background Growing evidences suggest that circular RNAs (circRNAs) are important factors in cancer progression. Nevertheless, the role of circRNAs in the progression of pancreatic ductal adenocarcinoma (PDAC) remains unclear. Methods CircPTP
Externí odkaz:
https://doaj.org/article/61d9408ab68448789cc17a75187f5d30
Autor:
Bojing Chi, Yao Zheng, Fuming Xie, Wen Fu, Xianxing Wang, Jianyou Gu, Jiali Yang, Jingyang Yin, Lei Cai, Peng Tang, Jianbo Li, Shixiang Guo, Huaizhi Wang
Publikováno v:
Cancer Cell International, Vol 22, Iss 1, Pp 1-20 (2022)
Abstract Background MicroRNAs (miRNAs), as an indispensable type of non-coding RNA (ncRNA), participate in diverse biological processes. However, the specific regulatory mechanism of certain miRNAs in pancreatic ductal adenocarcinoma (PDAC) remains u
Externí odkaz:
https://doaj.org/article/0a61d4c8e11d4013b5708081046ae72c
Autor:
Fuming Xie, Yao Zheng, Wen Fu, Bojing Chi, Xianxing Wang, Junfeng Zhang, Jianyou Gu, Jingyang Yin, Qiang Zhou, Shixiang Guo, Lei Cai, Jiali Yang, Songsong Liu, Huaizhi Wang
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Externí odkaz:
https://doaj.org/article/e07d74dfe30b40cc8115a2f9ea3f6416
Autor:
Fuming Xie, Yao Zheng, Wen Fu, Bojing Chi, Xianxing Wang, Junfeng Zhang, Jianyou Gu, Jingyang Yin, Qiang Zhou, Shixiang Guo, Lei Cai, Jiali Yang, Songsong Liu, Huaizhi Wang
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundMany studies have reported that N6-methyladenosine (m6A) modification plays a critical role in the epigenetic regulation of organisms and especially in the pathogenesis of malignant diseases. However, m6A research has mainly focused on meth
Externí odkaz:
https://doaj.org/article/7f0dd13f078c4bc7b60691b185f7a49a
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 45, Iss , Pp 101318- (2023)
Study region: The upper reaches of Jinsha River basin (UJSB) in the northeastern Tibetan Plateau. Study focus: Spring floods in the UJSB have posed increasingly severe challenges to reservoirs operation and water resources management due to increased
Externí odkaz:
https://doaj.org/article/8aa7d8777dc6454da202eeeeb6f9b804
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5849 (2022)
The mapping of tropical rainforest forest structure parameters plays an important role in biodiversity and carbon stock estimation. The current mechanism models based on PolInSAR for forest height inversion (e.g., the RVoG model) are physical process
Externí odkaz:
https://doaj.org/article/b5de0261c18e4791a7bd8430987e57cc
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4187 (2022)
Accurately estimating forest aboveground biomass (AGB) based on remote sensing (RS) images at the regional level is challenging due to the uncertainty of the modeling sample size. In this study, a new optimizing method for the samples was suggested b
Externí odkaz:
https://doaj.org/article/8d7b6fc7fd934e3fb309aca28ab19420