Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Yuying Guo"'
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Objective Fibrinogen, essential in primary hemostasis, platelet aggregation, and leukocyte-endothelial interactions, is also associated with a heightened risk of acute ischemic stroke (AIS). However, its influence on AIS patient outcomes is
Externí odkaz:
https://doaj.org/article/075d174703a144fc8c88b30315cbde3c
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Polycystic ovary syndrome (PCOS) has unusual levels of hormones. The hormone receptors in the endometrium have a hostile effect and make the microenvironment unfavorable for embryo implantation. The use of gonadotropin stimulation
Externí odkaz:
https://doaj.org/article/fd9e4964a5dc42a6828b10c2aed0c756
Publikováno v:
Redox Biology, Vol 68, Iss , Pp 102942- (2023)
In this study, we executed single-cell RNA sequencing of intestinal crypts. We analyzed the differentially expressed genes (DEGs) at different time points (the first, third, and fifth days) after 13 Gy and 15 Gy abdominal body radiation (ABR) exposur
Externí odkaz:
https://doaj.org/article/00ac1c631f46402499afc9fa20a3dda6
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 168, Iss , Pp 115726- (2023)
Momordica charantia polysaccharide (MCP) is a potential drug for the prevention and alleviation of diabetes mellitus (DM) and diabetic retinopathy (DR). This study aimed to investigate the potential protective effects of MCP on early-stage DR and exp
Externí odkaz:
https://doaj.org/article/4ac3634ea671460bb4a1ab12d15d77d0
Autor:
Ji Xiao, Ping Liu, Yuze Hu, Tao Liu, Yuying Guo, Pinghua Sun, Junxia Zheng, Zhe Ren, Yifei Wang
Publikováno v:
Chinese Medicine, Vol 18, Iss 1, Pp 1-16 (2023)
Abstract Background Artemisia vulgaris L. is often used as a traditional Chinese medicine with the same origin of medicine and food. Its active ingredient in leaves have multiple biological functions such as anti-inflammatory, antibacterial and insec
Externí odkaz:
https://doaj.org/article/72dea6a1906a456184b81e15b27c9248
Publikováno v:
IEEE Access, Vol 11, Pp 67912-67921 (2023)
Deep image prior is a classical unsupervised deep learning method that does not require plenty of training samples, because in some practical applications, like medical imaging, collecting tons of training samples is not always viable. At the same ti
Externí odkaz:
https://doaj.org/article/92a44137940e47f49f2fb584b54cceb7
Autor:
Meng Zhang, Hailong Ling, Ting Wang, Yingjing Jiang, Guanying Song, Wen Zhao, Laibin Zhao, Tingting Cheng, Yuxin Xie, Yuying Guo, Wenxin Zhao, Liying Yuan, Alan Meng, Zhenjiang Li
Publikováno v:
Nano-Micro Letters, Vol 14, Iss 1, Pp 1-21 (2022)
Abstract Three-dimensional (3D) ordered porous carbon is generally believed to be a promising electromagnetic wave (EMW) absorbing material. However, most research works targeted performance improvement of 3D ordered porous carbon, and the specific a
Externí odkaz:
https://doaj.org/article/5d3c2043ac414b7e87efa477d4877cc6
Autor:
Nankun Qin, Ming Qin, Wenjun Shi, Lingbo Kong, Liting Wang, Guang Xu, Yuying Guo, Jiayu Zhang, Qun Ma
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolo
Externí odkaz:
https://doaj.org/article/53f0e711af0a42ca9a27172b47d5dabb
Publikováno v:
IEEE Access, Vol 10, Pp 117439-117448 (2022)
Natural images generally contain both structure component and texture component. The existing image segmentation models based on piecewise smooth cannot handle such natural images containing texture well. For this reason, in this paper, a multi-regio
Externí odkaz:
https://doaj.org/article/b615cbe0de784f10bcbf3181755ceaea
Publikováno v:
Mathematics, Vol 11, Iss 14, p 3201 (2023)
Image inpainting is a crucial task in computer vision that aims to restore missing and occluded parts of damaged images. Deep-learning-based image inpainting methods have gained popularity in recent research. One such method is the deep image prior,
Externí odkaz:
https://doaj.org/article/fe5e874af93744109f380a6d337ee4c4