Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Yuhui, Zheng"'
Publikováno v:
Diagnostic Pathology, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Objective To investigate the genetic mutations in patients with papillary thyroid carcinoma (PTC) and their clinicopathological features by next generation sequencing (NGS). Methods NGS technology was used to detect genetic mutations in PTC
Externí odkaz:
https://doaj.org/article/82be536409fb4fb4a8bc2291e195dd24
Autor:
Zhuoli Huang, Yuhui Zheng, Weikai Wang, Wenwen Zhou, Yanbo Zhang, Chen Wei, Xiuqing Zhang, Xin Jin, Jianhua Yin
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract Pathway analysis is a crucial analytical phase in disease research on single-cell RNA sequencing (scRNA-seq) data, offering biological interpretations based on prior knowledge. However, currently available tools for generating cell-level pat
Externí odkaz:
https://doaj.org/article/c73e9a455cb543fb993ce82ccd898f7d
Autor:
Zhantao Yang, Yuhui Zheng, Siyuan Liu, Tian Xie, Qianqian Wang, Zhonghan Wang, Shengli Li, Wei Wang
Publikováno v:
Animal Nutrition, Vol 18, Iss , Pp 296-308 (2024)
Dietary fat content can reduce the methane production of dairy cows; however, the relevance fatty acid (FA) composition has towards this inhibitory effect is debatable. Furthermore, in-depth studies elucidating the effects of unsaturated fatty acids
Externí odkaz:
https://doaj.org/article/d4c348978aaf44a7b6f0646a7666e098
Publikováno v:
Teshugang, Vol 45, Iss 3, Pp 5-9 (2024)
Austenitic stainless steel for nuclear power plant reactor internals is extremely strict in terms of purity， grain size， corrosion resistance and mechanical properties， and stable quality materials are crucial to the safe operation of nuclear p
Externí odkaz:
https://doaj.org/article/6c73aa46e10e486dbc978b861195c10f
Autor:
Yuhui Zheng, Dongwei Wang, Ning Jin, Xueguan Zhao, Fengmei Li, Fengbo Sun, Gang Dou, Haoran Bai
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 4669-4697 (2024)
Segmenting plant organs is a crucial step in extracting plant phenotypes. Despite the advancements in point-based neural networks, the field of plant point cloud segmentation suffers from a lack of adequate datasets. In this study, we addressed this
Externí odkaz:
https://doaj.org/article/6f149cdea4cc4a04a34473187b79b20e
Autor:
Wenwen Zhou, Yixuan Chen, Yuhui Zheng, Yong Bai, Jianhua Yin, Xiao-Xia Wu, Mei Hong, Langchao Liang, Jing Zhang, Ya Gao, Ning Sun, Jiankang Li, Yiwei Zhang, Linlin Wu, Xin Jin, Jianmin Niu
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract Preeclampsia is a multifactorial and heterogeneous complication of pregnancy. Here, we utilize single-cell RNA sequencing to dissect the involvement of circulating immune cells in preeclampsia. Our findings reveal downregulation of immune re
Externí odkaz:
https://doaj.org/article/360be1112bfd4d9489fc61f8b8aba65e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7867-7877 (2024)
As a tool for near-earth remote sensing, unmanned aerial vehicle (UAV) can be used to acquire images and data of the earth's surface. This provides a powerful support for Earth observation and resource management. Object tracking in UAV videos has be
Externí odkaz:
https://doaj.org/article/a082e144ea4a42c1a03d951309ddc470
Publikováno v:
Molecules, Vol 29, Iss 19, p 4751 (2024)
A fluorescent probe based on ternary AgFeS2 quantum dots has been prepared for the design of ternary chalcogenides. The nanoparticles are synthesized with oleylamine as a stabilizer at a low temperature (particle size in the range of 2 to 3 nm) and t
Externí odkaz:
https://doaj.org/article/f6c297201d4b44fc8727ef84a5b16f33
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2775 (2024)
Transformers have shown remarkable success in modeling sequential data and capturing intricate patterns over long distances. Their self-attention mechanism allows for efficient parallel processing and scalability, making them well-suited for the high
Externí odkaz:
https://doaj.org/article/cd2c973b98d24361bf61a300f6f84dff
Publikováno v:
IET Software, Vol 17, Iss 4, Pp 620-631 (2023)
Abstract Retraction: [Yingdong Wang, Yuhui Zheng, Lu Cao, Zhiling Zhang, Qunsehng Ruan, Qingfeng Wu, Self‐attention Bi‐RNN for developer emotion recognition based on EEG, IET Software 2022 (https://doi.org/10.1049/sfw2.12080)]. The above article
Externí odkaz:
https://doaj.org/article/6660e90e0ec947a4b05e6bf25aa09770