Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Honghui Xie"'
Autor:
Xiang Yao, Xinyang Yu, Liping Wang, Yuhui Zeng, Linghan Mao, Shanming Liu, Honghui Xie, Guichun He, Zhiqiang Huang, Zhilin Liu
Publikováno v:
International Journal of Mining Science and Technology, Vol 33, Iss 6, Pp 773-781 (2023)
In this paper, using methyl cinnamate as raw material, the new cinnamic hydroxamic acid collector (CIHA) was synthesized by the hydroxylamine method. The collector performance of hydroxamic acid was investigated for scheelite and gangue calcite, and
Externí odkaz:
https://doaj.org/article/e1af2f8c85d84772b6f9e1ba211742f4
Publikováno v:
Laryngoscope Investigative Otolaryngology, Vol 7, Iss 2, Pp 425-436 (2022)
Abstract Background Increasing evidence demonstrated the important roles of circular RNAs (circRNAs) in human cancer progression, including oral squamous cell carcinoma (OSCC). The study intentions were to explore the role and molecular mechanism of
Externí odkaz:
https://doaj.org/article/eda42da0bfe5478cb0e93e0f77d89019
Autor:
Yun Xiao, Shiyi Peng, Yiqiang Tang, Honghui Xie, Min Huang, Jing Wang, Xiaochang Gong, Jingao Li
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
PurposePost-radiation nasopharyngeal necrosis (PRNN) is one of the most serious late effects of nasopharyngeal carcinoma (NPC) after radiotherapy. Standard conservative treatments are not always effective, and this study sought to investigate the fea
Externí odkaz:
https://doaj.org/article/637df7d783254d00ab85b24440b1cb28
Publikováno v:
Langmuir. 39:5936-5943
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::090e8aa0f8edbdc68f8de7798fba6a20
https://doi.org/10.1021/acs.langmuir.3c00584
https://doi.org/10.1021/acs.langmuir.3c00584
Publikováno v:
Odontology.
It has been demonstrated that circular RNA (circRNA) is involved in the progression of tongue squamous cell carcinoma (TSCC). The aim of this study was to investigate the intrinsic mechanism of circ_0081069 in TSCC progression. The expression levels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78b4b5fd100e1fe684cd9068211fac9
https://pubmed.ncbi.nlm.nih.gov/36181561
https://pubmed.ncbi.nlm.nih.gov/36181561
Publikováno v:
2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ead1da0a625bf0fdc94d1b0a9f8062b7
https://doi.org/10.1109/cacml55074.2022.00110
https://doi.org/10.1109/cacml55074.2022.00110
Autor:
Xiang Yao, Xinyang Yu, Liping Wang, Yuhui Zeng, Linghan Mao, Shanming Liu, Honghui Xie, Guichun He, Zhiqiang Huang, Shiyong Zhang
Publikováno v:
Journal of Molecular Liquids. 362:119721
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e59716e34e449574f813630cf629fff1
https://doi.org/10.1016/j.molliq.2022.119721
https://doi.org/10.1016/j.molliq.2022.119721
Autor:
Xiang Yao, Xinyang Yu, Yuhui Zeng, Linghan Mao, Honghui Xie, Shanming Liu, Guichun He, Zhiqiang Huang, Haolin Wang, Zhilin Liu
Publikováno v:
Minerals. 12:817
In order to improve the recovery of rare earth elements, finding a collector with a strong selectivity ability had become the focus of research. In this paper, phenylpropyl hydroxamic acid (PHA) was used as a new hydrophobic surfactant collector for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75cd5270a604eae9203139c5f9df708c
https://doi.org/10.3390/min12070817
https://doi.org/10.3390/min12070817
Autor:
Xiaochang Gong, Jie Kuang, Chunling Jiang, Yang Qiu, Tingtao Chen, Chaofei Xia, En Chen, Honghui Xie, Huan Wang, Lei Zeng, Fan Ao, Qing Dong, Jingao Li, Yong Su
Publikováno v:
Cancer. 125:1081-1090
BACKGROUND The objective of this study was to evaluate the effect of a probiotic combination on the severity of oral mucositis (OM), which is a common, unpreventable complication induced by radiochemotherapy in patients with nasopharyngeal carcinoma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::534e2b245f1a672791f5fad8ce0381e0
https://doi.org/10.1002/cncr.31907
https://doi.org/10.1002/cncr.31907
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11:876-887
Tobacco plant detection plays an important role in the management of tobacco planting. In this paper, a new algorithm based on deep neural networks is proposed to detect tobacco plants in images captured by unmanned aerial vehicles (UAVs) (called UAV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf2289612c848560aa0c50062f13bc88
https://doi.org/10.1109/jstars.2018.2793849
https://doi.org/10.1109/jstars.2018.2793849