Zobrazeno 1 - 10
of 738
pro vyhledávání: '"Shanshan WAN"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 63, Iss , Pp 105269- (2024)
At present, research on smoke diffusion in high-rise building fires mainly focuses on the single smoke layer propagation within a limited area, with less attention paid to the smoke propagation under the joint action of the fire floor and the vertica
Externí odkaz:
https://doaj.org/article/2b2e646f4d6d4b14bb6f8035d9206d8b
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
Rationale and objectives Researchers have delved into noninvasive diagnostic methods of renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance imaging (MRI), and radiomics. However, the value of these diagnostic
Externí odkaz:
https://doaj.org/article/44f16cbdbb2643348f5985b4cbaf9c0c
Autor:
Qian Deng, Yuelan Gao, Yujin Wang, Jiewen Mao, Yulin Yan, Zixian Yang, Yuyu Cong, Yanning Yang, Shanshan Wan
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
BackgroundCorneal neovascularization (CNV) is a sight-threatening condition that necessitates epigenetic control. The role of lysine-specific demethylase 1 (LSD1) in CNV remains unclear, despite its established significance in tumor angiogenesis regu
Externí odkaz:
https://doaj.org/article/a222f0ccb87b49c3b366254c3b2e2dd6
Autor:
Shanshan Wan, Jiaqi Ding
Publikováno v:
IEEE Access, Vol 12, Pp 70001-70016 (2024)
Fusion of multi-source information is one of the primary methods to alleviate data sparsity in recommender systems (RS). Hypergraphs have shown remarkable capabilities in dealing with the diversity of multi-source information, especially in modeling
Externí odkaz:
https://doaj.org/article/83f88755a27448ebba5b8335dd3afcde
Autor:
Jun Jian, Yunxun Liu, Qingyuan Zheng, Jingsong Wang, Zhengyu Jiang, Xiuheng Liu, Zhiyuan Chen, Shanshan Wan, Hao Liu, Lei Wang
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-15 (2024)
Abstract Renal fibrosis is considered to be the ultimate pathway for various chronic kidney disease, with a complex etiology and great therapeutic challenges. Tripartite motif-containing (TRIM) family proteins have been shown to be involved in fibrot
Externí odkaz:
https://doaj.org/article/145b74366c8b495084e44f5bd44d804e
Publikováno v:
Zhongguo shuxue zazhi, Vol 36, Iss 12, Pp 1127-1131 (2023)
Objective To analyze the factors affecting the efficacy of platelet transfusion and the specificity of HLA-Ⅰ antibodies in tumor patients. Methods Tumer patients applied for platelet transfusion from November 2019 to July 2021 in Sichuan Cancer Hos
Externí odkaz:
https://doaj.org/article/b7af0ee75a4a47a4b991c31abc5951ec
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 4, Pp 1464-1479 (2023)
Abstract Contrastive self‐supervised representation learning on attributed graph networks with Graph Neural Networks has attracted considerable research interest recently. However, there are still two challenges. First, most of the real‐word syst
Externí odkaz:
https://doaj.org/article/de017e4de93544d2ab23f3c7efef1b6a
Autor:
Haiyu ZHANG, Ke ZHANG, Hongzhou WU, Lijun ZHONG, Zuo WANG, Guihua ZHANG, Yannan FENG, Li CHEN, Lian DAI, Shanshan WAN
Publikováno v:
Zhongguo shuxue zazhi, Vol 36, Iss 9, Pp 803-806 (2023)
Objective To analyze the distribution of unexpected antibodies in tumor patients retrospectively and explore the clinical significance. Methods Unexpected antibody screening was performed on inpatients with blood preparation and blood transfusion in
Externí odkaz:
https://doaj.org/article/0142058058754debb5f8aea103a73f9e
Publikováno v:
IEEE Access, Vol 11, Pp 50547-50559 (2023)
Gesture recognition has always been one of the important research directions in the field of computer vision. The dynamic gesture has the problems of complex backgrounds and many interference factors. The gesture recognition model based on deep learn
Externí odkaz:
https://doaj.org/article/045b44268a284849b095614829b54d92
Autor:
Yulin Yan, Weiyan Jiang, Yiwen Zhou, Yi Yu, Linying Huang, Shanshan Wan, Hongmei Zheng, Miao Tian, Huiling Wu, Li Huang, Lianlian Wu, Simin Cheng, Yuelan Gao, Jiewen Mao, Yujin Wang, Yuyu Cong, Qian Deng, Xiaoshuo Shi, Zixian Yang, Qingmei Miao, Biqing Zheng, Yujing Wang, Yanning Yang
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
ObjectiveIn order to automatically and rapidly recognize the layers of corneal images using in vivo confocal microscopy (IVCM) and classify them into normal and abnormal images, a computer-aided diagnostic model was developed and tested based on deep
Externí odkaz:
https://doaj.org/article/6cad471795c24ad8a84c03a8b6607406