Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Shenghua Gu"'
Autor:
Shenghua Gu, Dandan Chen, Jin-Na Zhang, Xiaoman Lv, Kun Wang, Li-Ping Duan, Yong Nie, Xiao-Lei Wu
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e74957 (2013)
Keeping mammalian gastrointestinal (GI) tract communities in balance is crucial for host health maintenance. However, our understanding of microbial communities in the GI tract is still very limited. In this study, samples taken from the GI tracts of
Externí odkaz:
https://doaj.org/article/aba2e0dde40a41edae6f76bd77c201f8
Autor:
Pingping Wang, Shenghua Guo
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Objective Femoral neck fractures (FNF) are known to have significant morbidity and mortality rates. Multiple chronic conditions (MCC) are defined as the presence of two or more chronic diseases that greatly affect the quality of life in olde
Externí odkaz:
https://doaj.org/article/b8dab71bef644808849ce40d4cb86cfc
Autor:
Wei Sun1, Shenghua Gu1 gnymu5@163.com, Xin Zhang1, Jinyao Lu1, Yingmin Gu1, Yiwen Huang1, Guifeng Xu1, Jiajun Xie1
Publikováno v:
Tropical Journal of Pharmaceutical Research. Nov2019, Vol. 18 Issue 11, p2403-2409. 7p.
Autor:
Shenghua Gu, Zi-zhen Di, Fei Fei, Qi Qi, Guangji Wang, Runbin Sun, Chang-xiao Liu, Jiye Aa, Lixiang Aa
Publikováno v:
Acta Pharmacologica Sinica
Kaempferol is a natural flavonol that possesses various pharmacological activities, including anti-arthritis effects, yet the underlying mechanisms remain controversial. To evaluate the anti-arthritis efficacy and the underlying mechanisms of kaempfe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3492366e0a775188673277c167867d8f
https://doi.org/10.1038/s41401-019-0279-8
https://doi.org/10.1038/s41401-019-0279-8
Publikováno v:
Machine Vision and Applications. 30:1111-1122
In this paper, an effective method is proposed for breast mass segmentation using a superpixel generation and curve evolution method. The simple linear iterative clustering method and density-based spatial clustering of applications with noise method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8c20315af0891a17dba0349aecb2072
https://doi.org/10.1007/s00138-019-01020-0
https://doi.org/10.1007/s00138-019-01020-0
Autor:
Ying, Zhang, Jiye, A, Wang, Guangji, Qing, Huang, Bei, Yan, Weibin, Zha, Shenghua, Gu, Linsheng, Liu, Hongcan, Ren, Meiting, Ren, Longsheng, Sheng
Publikováno v:
In Journal of Chromatography B 2009 877(18):1751-1757
Publikováno v:
Water, Vol 10, Iss 3, p 312 (2018)
Water; Volume 10; Issue 3; Pages: 312
Water; Volume 10; Issue 3; Pages: 312
Rainfall with varied temporal distribution is an essential input to urban flood models. In this study, a 60-min design rainstorm with different return periods for the urban area of Yangpu District, Shanghai, China was derived. The design of areal rai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b93bdc4d7ba9a4225db7edb20712727e
http://www.mdpi.com/2073-4441/10/3/312
http://www.mdpi.com/2073-4441/10/3/312
Autor:
Jichun Wu, Xiankui Zeng, Vijay P. Singh, Yuankun Wang, Dengfeng Liu, Dong Wang, Lachun Wang, Shenghua Gu, Xi Chen, Yuanfang Chen, Liyuan Zhang
Publikováno v:
Journal of Hydrology. 532:163-176
Summary Entropy theory has been increasingly applied in hydrology in both descriptive and inferential ways. However, little attention has been given to the small-sample condition widespread in hydrological practice, where either hydrological measurem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d4c42c2d4b59394c35ae54991f549e1
https://doi.org/10.1016/j.jhydrol.2015.11.019
https://doi.org/10.1016/j.jhydrol.2015.11.019
Publikováno v:
International Journal of Multimedia and Ubiquitous Engineering. 10:115-122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af345316fbfd1d7c1225279bcb2ff3e8
https://doi.org/10.14257/ijmue.2015.10.11.11
https://doi.org/10.14257/ijmue.2015.10.11.11
Publikováno v:
International Journal of Hybrid Information Technology. 8:427-436
Breast cancer is regarded as one of the most frequent mortality causes among women. It is very important to create a system to diagnose suspicious masses in mammograms for early breast cancer detection. In this paper, we propose an automatic breast m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a78d4d0a3cf96d280b7517c144333a0
https://doi.org/10.14257/ijhit.2015.8.10.39
https://doi.org/10.14257/ijhit.2015.8.10.39