Zobrazeno 1 - 10
of 1 124
pro vyhledávání: '"XINGHUA LI"'
Publikováno v:
Annals of Intensive Care, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Background The impairment of endothelial function represents a key pathophysiological mechanism in the development of sepsis. This research aimed to evaluate the prognostic significance of angiopoietin-2 (Ang-2), an endothelial biomarker, in
Externí odkaz:
https://doaj.org/article/dacfd1562f71421a8cded55ae6240914
Autor:
Siqi Tang, Kaixin Wei, Hao Huang, Xinghua Li, Yuxin Min, Jiayi Tai, Yi Xu, Lei Chen, Shimeng Yan, Qiangqiang Xiong, Xiaojun Li
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract Background Striga asiatica (L.) O. Kuntze is a traditional medicinal plant rich in flavonoids, which has various pharmacological effects such as anti-hepatitis and antioxidant activities. However, there is a scarcity of resources, and artifi
Externí odkaz:
https://doaj.org/article/46a329ae02d54fc7a12571ad12eccafb
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Deep convolutional neural networks (DCNNs) have been successfully used in semantic segmentation of high-resolution remote sensing images (HRSIs). However, this task still suffers from intra-class inconsistency and boundary blur due to high intra-clas
Externí odkaz:
https://doaj.org/article/0faaf8915b014e4da793f8a45be5b26e
Publikováno v:
Zoologia (Curitiba), Vol 41 (2024)
ABSTRACT Developmental plasticity of the planarians is well-illustrated by whole-body regeneration from any tissue fragments and body size scaling regulated by food intake. Here we report another form of developmental plasticity that appears to be sh
Externí odkaz:
https://doaj.org/article/c4aabca068f74254b105ae7a91e6413d
Autor:
Run Tian, Xu Gao, Ning Kong, Xinghua Li, Yiyang Li, Jian Wang, Yongping Cao, Zhanjun Shi, Kunzheng Wang, Pei Yang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study compared the radiologic and clinical outcomes of a new seven-axis robotic-assisted total hip arthroplasty (THA) and conventional THA. Hundred and four patients were randomly assigned to two groups—the robotic-assisted THA group
Externí odkaz:
https://doaj.org/article/2d93915d1288426685f45437e3edf702
Autor:
Xianglong Tian, Guihua Liu, Linhua Ji, Yi Shen, Junjun Gu, Lili Wang, Jiali Ma, Zuguang Xia, Xinghua Li
Publikováno v:
Translational Oncology, Vol 51, Iss , Pp 102166- (2025)
TGF-β signaling pathway has been demonstrated to be closely related to chemoresistance, which is the major cause of recurrence and poor outcome in colorectal cancer (CRC), however, the comprehensive epigenetic landscape that functionally implicates
Externí odkaz:
https://doaj.org/article/7b5f7c0e3f6e4c7dbb2203c5fbaa4ce3
Autor:
Zhongyuan JIANG, Sen WANG, Qizhou WANG, Xiangyong CAO, Xingsong HOU, Lei LEI, Dongwei SUN, Xinghua LI, Jianfeng MA
Publikováno v:
天地一体化信息网络, Vol 5, Pp 60-75 (2024)
Firstly, the current situation of satellite remote sensing, communication, and computing systems was systematically analyzed, and the real-time remote sensing dilemma existing in the traditional satellite remote sensing systems and the satellite remo
Externí odkaz:
https://doaj.org/article/ea515607031e49ccb93ec5cd15fea5bc
Publikováno v:
International Journal of Transportation Science and Technology, Vol 13, Iss , Pp 186-199 (2024)
Access to healthcare services using public transportation (PT-based healthcare accessibility) is a crucial aspect in achieving healthcare equity as it affects individuals’ ability to receive healthcare. Previous research has focused on the spatial
Externí odkaz:
https://doaj.org/article/0d8a982ed95943faa3e361f0920d53f5
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 2, Pp 289-310 (2024)
ABSTRACTRemote sensing provides us with an approach for the rapid identification and monitoring of spatiotemporal changes in the urban ecological environment at different scales. This study aimed to construct a remote sensing assessment index for urb
Externí odkaz:
https://doaj.org/article/4ab781e80c9b4c509c111c28fd84f687
Autor:
Chuan Xu, Haonan Yu, Liye Mei, Ying Wang, Jian Huang, Wenying Du, Shuangtong Jin, Xinliu Li, Minglin Yu, Wei Yang, Xinghua Li
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6174-6188 (2024)
Remote sensing (RS) image change detection (CD) methods based on deep learning, such as convolutional neural networks (CNNs) and transformers, are still spatial domain-based image processing methods by nature, and their detection accuracy is strongly
Externí odkaz:
https://doaj.org/article/21af7a11a4a949b78486f889019125cd