Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Yinghao Liao"'
Autor:
Xinxin Guo, Ping Wan, Weitao Shen, Mingjun Sun, Zhenyan Peng, Yinghao Liao, Yang Huang, Ran Liu
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background The cancer microbiota was considered the main risk factor for cancer progression. We had proved that Fusobacterium periodonticum (F.p) was higher abundance in Esophageal cancer(EC)tissues. Bioinformation analysis found that BCT wa
Externí odkaz:
https://doaj.org/article/dda2f8de01fe43b7a78d94c79b3ef104
Autor:
Mingjun Sun, Zhenyan Peng, Weitao Shen, Xinxin Guo, Yinghao Liao, Yang Huang, Ping Ye, Mohan Hu, Qiang Lin, Ran Liu
Publikováno v:
Gut Microbes, Vol 16, Iss 1 (2024)
N-Nitrosamine disinfection by-products (NAs-DBPs) have been well proven for its role in esophageal carcinogenesis. However, the role of intratumoral microorganisms in esophageal squamous cell carcinoma (ESCC) has not yet been well explored in the con
Externí odkaz:
https://doaj.org/article/410971be972a48aeac57d8e98392aec2
Autor:
Yinghao Liao, Xin Liu, Changxi Zhao, Bing Wang, Liyan Zheng, Xiaoming Hao, Longxu Yao, Dian Wang
Publikováno v:
Micromachines, Vol 14, Iss 12, p 2209 (2023)
The pure waterjet (WJ) drilling process of carbon-fiber-reinforced polymer (CFRP) laminates causes damage, such as tears and delamination, leading to poor-quality hole-wall. Ultrasonic-vibration-assisted technology can improve the quality of hole wal
Externí odkaz:
https://doaj.org/article/e72af07edada411cbc9bf61f57857eae
Autor:
Yue Huang, Xinghao Ding, Weiping Xie, Zhenyu Kuang, Borong Liang, Yihong Zhuang, Yinghao Liao
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:2991-2999
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f27a724cee9ee4ee0e64bf4b40d91083
https://doi.org/10.1109/tits.2020.3027578
https://doi.org/10.1109/tits.2020.3027578
Publikováno v:
Neural Processing Letters. 54:1961-1975
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe3cc2169f435a011b4bb9bd7371ac49
https://doi.org/10.1007/s11063-021-10714-4
https://doi.org/10.1007/s11063-021-10714-4
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fcd216dbd9551e1830a3e4416c38bec
https://doi.org/10.1109/tim.2022.3154840
https://doi.org/10.1109/tim.2022.3154840
Autor:
Peiyan Yang, Peng Zhang, Yali Deng, Yinghao Liao, Xinxin Guo, Mingjun Sun, Lihong Yin, Ran Liu
Publikováno v:
Environmental pollution (Barking, Essex : 1987). 317
The widespread cyanotoxins in drinking water pose a threat to public health induced by Microcystins (MCs). MC-LR, a predominant toxic form of MCs, has been found to play critical roles in cancer progression. The role of MC-LR in hepatocarcinogenesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a02dd34454dd99bc355aae7cd49fbb2
https://pubmed.ncbi.nlm.nih.gov/36436660
https://pubmed.ncbi.nlm.nih.gov/36436660
Autor:
Yuqing Hou, Hui Li, Hong Chen, Shengnan Shen, Fei Duan, Wei Wei, Jiayue Wang, Yicang Huang, Xiawei Guan, Yinghao Liao
Publikováno v:
Ocean Engineering. 277:114296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70e7f664b9b71e18e75d1f81c53d9b05
https://doi.org/10.1016/j.oceaneng.2023.114296
https://doi.org/10.1016/j.oceaneng.2023.114296
Publikováno v:
IEEE Transactions on Image Processing. 26:2944-2956
We introduce a deep network architecture called DerainNet for removing rain streaks from an image. Based on the deep convolutional neural network (CNN), we directly learn the mapping relationship between rainy and clean image detail layers from data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee05ed52339b60ee74223e302b136cd9
https://doi.org/10.1109/tip.2017.2691802
https://doi.org/10.1109/tip.2017.2691802
Publikováno v:
Signal Processing. 129:82-96
We propose a straightforward and efficient fusion-based method for enhancing weakly illumination images that uses several mature image processing techniques. First, we employ an illumination estimating algorithm based on morphological closing to deco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::368eabd90653c0c46a053cafd1708f91
https://doi.org/10.1016/j.sigpro.2016.05.031
https://doi.org/10.1016/j.sigpro.2016.05.031