Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Jianming Shen"'
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-19 (2022)
Abstract Fault diagnosis of the aircraft wiring network plays an important role in the intelligent manufacture of the aircraft. Many studies focus on the feature-based machine learning methods. However, these methods are improper in handling the data
Externí odkaz:
https://doaj.org/article/c87ab7c3466a49c685dbede2c8b0dab3
Autor:
Jianming Shen, Jinfu Liu, Juan Li, Shouqi Chen, Linsen Xu, Zhengyan Jiang, Zhipeng Liu, Xingcan Liang
Publikováno v:
Jixie chuandong, Vol 46, Pp 50-55 (2022)
At present，robot joint reducers are all constant transmission ratio，which makes it difficult for the motor to reach peak efficiency. Based on the nested structure，a compact continuously variable transmission （CVT） for robots is proposed，w
Externí odkaz:
https://doaj.org/article/e72a43e97e074c11add12350b97b8799
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2383 (2023)
Rapid urbanization has altered the regional hydrological processes, posing a great challenge to the sustainable development of cities. The TVGM-USWM model, a new urban hydrological model considering the nonlinear rainfall-runoff relationship and the
Externí odkaz:
https://doaj.org/article/2d4b9b5a79c24e9e99eea90d58e808e2
Autor:
Lixin Ke, Jianming Shen, Jikun Feng, Jialin Chen, Shunli Shen, Shaoqiang Li, Ming Kuang, Lijian Liang, Cuncun Lu, Dongming Li, Qiang He, Baogang Peng, Yunpeng Hua
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2022)
The features and significance of somatic mutation profiles in hepatocellular carcinoma (HCC) have not been completely elucidated to date. In this study, 39 tumor specimens from HCC patients were collected for gene variation analysis by next-generatio
Externí odkaz:
https://doaj.org/article/c6d52d9f67834ddc85b44a270cb74240
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
BackgroundHepatocellular carcinoma (HCC) is one of the most common malignant tumors, and many patients are diagnosed with advanced disease. The treatment of advanced liver cancer has made significant strides in recent years, owing to the practice of
Externí odkaz:
https://doaj.org/article/e2999cb3a49e48afb1ddcc5231f596db
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3939 (2022)
To generate high-quality spatial precipitation estimates, merging rain gauges with a single-satellite precipitation product (SPP) is a common approach. However, a single SPP cannot capture the spatial pattern of precipitation well, and its resolution
Externí odkaz:
https://doaj.org/article/fe43c20d9e2e4b4f814b4254785fdf0b
Publikováno v:
Water, Vol 14, Iss 14, p 2241 (2022)
Streamflow forecasting is of great significance for water resources planning and management. In recent years, numerous data-driven models have been widely used for streamflow forecasting. However, the traditional single data-driven model ignores the
Externí odkaz:
https://doaj.org/article/38523b62336648d999297b35c81ced81
Publikováno v:
Therapeutic Apheresis and Dialysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d6eca740ff4dacaef835f8439ea74fc
https://doi.org/10.1111/1744-9987.13980
https://doi.org/10.1111/1744-9987.13980
Autor:
Jianming Shen
Publikováno v:
Services Computing – SCC 2022 ISBN: 9783031235146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c933443778c88215cfeb2e1f3f668b3
https://doi.org/10.1007/978-3-031-23515-3_2
https://doi.org/10.1007/978-3-031-23515-3_2
Autor:
Rui, Shen, Lixin, Ke, Qiao, Li, Xi, Dang, Shunli, Shen, Jianming, Shen, Shaoqiang, Li, Lijian, Liang, Baogang, Peng, Ming, Kuang, Yi, Ma, Zhonghan, Yang, Yunpeng, Hua
Background Gut microbiota and microbe-derived metabolites are involved in the development of HCC. Bile acids (BAs) are the most important gut microbiota-modulated endogenous signaling molecules. Methods We tested serum bile acid levels and gut microb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::894e5fd5246a2f3ff82e3d708f313d76
https://doi.org/10.21203/rs.3.rs-967378/v1
https://doi.org/10.21203/rs.3.rs-967378/v1