Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Zhikui C"'
Autor:
Haiyan Mao, Tong Lin, Shanshan Huang, Zhenye Xie, Jialu Chen, Xingkai Shen, Yi Ding, Guangze Xu, Zhikui Chen
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Telomere length is closely associated with the occurrence and development of cardiovascular and other diseases. Monocyte to high-density lipoprotein cholesterol ratio (MHR) is a novel indicator of inflammation, oxidative stress, a
Externí odkaz:
https://doaj.org/article/aab35767f87c4a68a04c7380a89d26fc
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1613-1622 (2024)
Accurate signal pattern mining of renewable energy generation forecasting (REGF) is important to the daysahead power scheduling of renewable energy power systems. Despite achieving excellent performance with current methods, two issues still persist.
Externí odkaz:
https://doaj.org/article/2b5698d969974bd1be5a8fdfb26bd656
Publikováno v:
Urban Planning, Vol 9, Iss 0 (2024)
A great number of creative industrial parks (CIPs) have emerged in the past two decades in China as a critical and popular approach to the adaptive reuse of abandoned industrial land in cities. However, a few vibrant CIPs have been closed in the past
Externí odkaz:
https://doaj.org/article/a327afaae03e4d68b2f4f489f1975020
Publikováno v:
Sensors, Vol 24, Iss 22, p 7298 (2024)
Ship image classification identifies the type of ships in an input image, which plays a significant role in the marine field. To enhance the ship classification performance, various research focuses on studying multi-modal ship classification, which
Externí odkaz:
https://doaj.org/article/e806afdb2b8d4a91aa8bf4c6d33bb203
Autor:
Jing Yang, Chao Li, Linus Shing Him Lo, Xu Zhang, Zhikui Chen, Jing Gao, Clara U, Zhijun Dai, Masahiro Nakaoka, Huayong Yang, Jinping Cheng
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1729 (2024)
To effectively protect the marine environment, it is crucial to establish effective environ mental monitoring platforms. Traditional marine environmental monitoring methods heavily rely on morphological identification and field expertise, with the sa
Externí odkaz:
https://doaj.org/article/1d29a6ee986d47fcb1f39990e79ed0fa
Akademický článek
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Autor:
Qiao-qiao He, Yu Huang, Longyu Nie, Sheng Ren, Gang Xu, Feiyan Deng, Zhikui Cheng, Qi Zuo, Lin Zhang, Huanhuan Cai, Qiming Wang, Fubing Wang, Hong Ren, Huan Yan, Ke Xu, Li Zhou, Mengji Lu, Zhibing Lu, Ying Zhu, Shi Liu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract MAVS is an adapter protein involved in RIG-I-like receptor (RLR) signaling in mitochondria, peroxisomes, and mitochondria-associated ER membranes (MAMs). However, the role of MAVS in glucose metabolism and RLR signaling cross-regulation and
Externí odkaz:
https://doaj.org/article/46f00657d8674e178bd214346daab0ab
Autor:
Zhihao Chen, Peng Wang, Wenhui Bai, Yan Deng, Zhikui Cheng, Liwen Su, Lifeng Nong, Ting Liu, Wenrui Yang, Xiping Yang, Zhengguo Liu
Publikováno v:
Plants, Vol 13, Iss 13, p 1804 (2024)
Stem color is an important agronomic trait of wax gourds. However, its regulatory genes have not been identified. In this study, 105 inbred lines constructed from two parents (GX-71 and MY-1) were sequenced and quantitative trait loci sequencing was
Externí odkaz:
https://doaj.org/article/a6fd600dab8046dd8a80cdc6b8b26ae0
Autor:
Wenrui Yang, Peng Wang, Ting Liu, Lifeng Nong, Zhikui Cheng, Liwen Su, Wenhui Bai, Yan Deng, Zhihao Chen, Zhengguo Liu
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Introduction/BackgroundThe seed size of wax gourds is an important agronomic trait; however, the associated genes have not yet been reported.MethodsIn this study, we used a high-density genetic map constructed based on F8 recombinant inbred line popu
Externí odkaz:
https://doaj.org/article/d3c7ff369efa4bacb3faa31473481f56
Publikováno v:
IET Computer Vision, Vol 15, Iss 8, Pp 573-591 (2021)
Abstract In real‐world applications, large amounts of data from multiple sources come in the form of streams. This makes multi‐view feature learning cost much time when new instances rise incrementally. Dealing with these growing multi‐view dat
Externí odkaz:
https://doaj.org/article/7c256822e38d44669d7e8b327b362593