Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Jiaxing Yu"'
Autor:
Yuanyuan Xie, Xianping Shao, Penghui Zhang, Hao Zhang, Jiaxing Yu, Xinfeng Yao, Yifan Fu, Jiao Wei, Chenglong Wu
Publikováno v:
Metabolites, Vol 14, Iss 4, p 236 (2024)
This study evaluated effects of high starch (20%) on hematological variations, glucose and lipid metabolism, antioxidant ability, inflammatory responses, and histopathological lesions in largemouth bass. Results showed hepatic crude lipid and triacyl
Externí odkaz:
https://doaj.org/article/34ae731552f243be9824a04cf4c77e24
Autor:
Shaohan Wang, Yueru Shi, Jiaxing Yu, Xiaoru Peng, Linjing Tong, Nan Li, Gangfeng Ouyang, Fang Zhu
Publikováno v:
Advanced Materials Interfaces, Vol 10, Iss 27, Pp n/a-n/a (2023)
Abstract Since the outbreak of COVID‐19, many antiviral drugs have been used to treat infected patients. Excessive drug concentrations may not only damage patients' organs, but also lead to increased mortality. The lack of data makes it difficult f
Externí odkaz:
https://doaj.org/article/a465c06ee17a4668bc29385bd0d3fb8c
Autor:
Guilin Li, Jingwei Li, Xinglong Zhi, Lisong Bian, Fan Yang, Hongqi Zhang, Jiaxing Yu, Jian Ren, Zhenlong Ji
Publikováno v:
Stroke and Vascular Neurology, Vol 8, Iss 4 (2023)
Objective Pial arteriovenous fistulas (PAVFs) are rare and mostly observed in children. However, the overall angioarchitecture, clinical features, treatments and long-term prognosis for pediatric patients remain unclear.Methods Clinical data of conse
Externí odkaz:
https://doaj.org/article/8851c1e5aa264b85a079f197fc469b51
Autor:
Kai Gong, Qian Dai, Jiacheng Wang, Yingbin Zheng, Tao Shi, Jiaxing Yu, Jiangwang Chen, Shaohui Huang, Zhanxiang Wang
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
With the recent development of deep learning, the regression, classification, and segmentation tasks of Computer-Aided Diagnosis (CAD) using Non-Contrast head Computed Tomography (NCCT) for spontaneous IntraCerebral Hematoma (ICH) have become popular
Externí odkaz:
https://doaj.org/article/28c0fe7e1afa47499dc51e9c9241960c
Autor:
Qiushi Wang, Libo Wu, Jiaxing Yu, Guanghua Li, Pengfei Zhang, Haozhe Wang, Lin Shao, Jinying Liu, Weixi Shen
Publikováno v:
BMC Medical Genomics, Vol 15, Iss 1, Pp 1-11 (2022)
Abstract Background Field cancerization is the process in which a population of normal or pre-malignant cells is affected by oncogenic alterations leading to progressive molecular changes that drive malignant transformation. Aberrant DNA methylation
Externí odkaz:
https://doaj.org/article/8d47fe2c02e04de18d654071b1fefc19
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Primary neuroendocrine carcinoma of the breast (NECB) is characterized with heterogeneity, rarity, and poor differentiation, which is probably an underestimated subtype of breast cancer, including small cell NECs and large cell NECs. The diagnostic c
Externí odkaz:
https://doaj.org/article/7fb3d0fb4bf94b3599436db0463e517a
Publikováno v:
ACS Central Science, Vol 7, Iss 2, Pp 355-364 (2021)
Externí odkaz:
https://doaj.org/article/f89205fa5e90483f8765b8cad26c3bf2
Autor:
Xiaodong Zhai, Jiewen Geng, Chengcheng Zhu, Jiaxing Yu, Chuanjie Li, Nan Jiang, Sishi Xiang, Gang Fang, Peng Hu, Hongqi Zhang
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Background: Although pericallosal artery aneurysms (PAAs) are relatively uncommon, accounting for only 1–9% of all intracranial aneurysms (IAs), they exhibit a considerably high propensity to rupture. Nevertheless, our current knowledge of the risk
Externí odkaz:
https://doaj.org/article/969c353c0f6f4f3b9d209fd081b8c097
Publikováno v:
Agronomy, Vol 12, Iss 12, p 3026 (2022)
Glyamifop (R&D code: FG001), (R)-(2-(4-(6-chlorobenzoxazol-2-oxy) phenoxy) propionyl) glycine ethyl ester is a newly developed aryloxyphenoxypropionate (HRAC Group 1) herbicide for weed control in paddy fields. This work determined the effect of Glya
Externí odkaz:
https://doaj.org/article/f1c5711621514eca85467992df05c6a1
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 40, Iss 5, Pp 397-403 (2019)
In order to improve the accuracy of identifying the target image while the drone is sailing, a hybrid model combining convolutional neural network (CNN) and probabilistic neural network (PNN) is proposed. The model uses CNN to extract multi-layer ima
Externí odkaz:
https://doaj.org/article/ab0b2988218e423eaa2eee12e9b9ab75