Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yani Xie"'
Autor:
Ke Xu, Hui Zhang, Ruixia Dong, Wei Ju, Yani Xie, Deyu Cui, Lu Fang, Fang Yuan, Shujun Lai, Jingrui Liang, Wei Zhang, Bin Zhao
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
The Kuqa Depression boasts rich cretaceous ultra-deep hydrocarbon resources. However, it is in complex geological conditions. At present, sufficient understandings on the in situ stress distribution and influencing factors are lacking, which restrict
Externí odkaz:
https://doaj.org/article/f43de69fb7694d5f95fc68cd79935804
Autor:
Yani Xie
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2022 (2022)
Taking the carbon dioxide emissions of energy utilization in construction industry (CI) as an unwanted output, this study builds an index system for construction industry energy efficiency (CIEE) under carbon dioxide emissions, adopts the super-SBM t
Externí odkaz:
https://doaj.org/article/826a295d48f94c939bd58b1810816598
Autor:
Taisong Fang, Yufan Wu, Yani Xie, Linjun Sun, Xiaojie Qin, Yangtai Liu, Hongmei Li, Qingli Dong, Xiang Wang
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
This study was carried out to investigate the effects of mild heat, lactic acid, benzalkonium chloride and nisin treatments on the inactivation, sublethal injury, and subsequent growth of Listeria monocytogenes. Results showed that the Bigelow model
Externí odkaz:
https://doaj.org/article/5edd005682a040dcb80566307c3d7292
Publikováno v:
Renewable Energy. 206:890-896
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c186101a91d1a9a2fdf9f8dab4fee1f
https://doi.org/10.1016/j.renene.2023.02.124
https://doi.org/10.1016/j.renene.2023.02.124
Autor:
Yani Xie, Fangbin Qian
Publikováno v:
Pacific International Journal. 6:01-06
The improvement of bilingual teaching can continuously enhance students' international vision and innovative ability, which is an important measure to cultivate innovative talents in the construction of double-top universities. Using the decision-ori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69a26f4cafa9afdc02e620fa17b24bc7
https://doi.org/10.55014/pij.v6i1.294
https://doi.org/10.55014/pij.v6i1.294
Autor:
Haoyu Luo, Zhong Dakang, Guowei Zhang, Lu Zhou, Zhenping Xu, Xiaojuan Huang, Yani Xie, Xueqi Zhang, Yang Xianzhang, Sun Haitao
Publikováno v:
Carpathian Journal of Earth and Environmental Sciences. 16:373-381
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd5e502c8fd96b6a618fe6e69666be00
https://doi.org/10.26471/cjees/2021/016/182
https://doi.org/10.26471/cjees/2021/016/182
Publikováno v:
Current Organic Chemistry. 22:2095-2116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c66c312b1c44e58d80c954ffade7e03a
https://doi.org/10.2174/1385272822666181016120748
https://doi.org/10.2174/1385272822666181016120748
Autor:
Taisong, Fang, Yufan, Wu, Yani, Xie, Linjun, Sun, Xiaojie, Qin, Yangtai, Liu, Hongmei, Li, Qingli, Dong, Xiang, Wang
Publikováno v:
Frontiers in Microbiology
This study was carried out to investigate the effects of mild heat, lactic acid, benzalkonium chloride and nisin treatments on the inactivation, sublethal injury, and subsequent growth of Listeria monocytogenes. Results showed that the Bigelow model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f91c1c9823ec5afeb82efa91de0dcc7a
https://pubmed.ncbi.nlm.nih.gov/33815335
https://pubmed.ncbi.nlm.nih.gov/33815335
Autor:
Qingli Dong, Shenggang Duan, Taisong Fang, Yufan Wu, Hong Liu, Xiang Wang, Xia Song, Hua Cai, Yani Xie
Publikováno v:
LWT. 149:111872
Salmonella enterica is a foodborne pathogen that can cause zoonotic diseases. The aggravation of antibiotic resistant S. enterica has drawn wide attention. Understanding the behavior of antibiotic-resistant pathogens along food chain is important to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ec341a2478900209a4400a7b6b17ed
https://doi.org/10.1016/j.lwt.2021.111872
https://doi.org/10.1016/j.lwt.2021.111872
Publikováno v:
ICASSP
When user-generated data such as audio and video signals are used to train machine learning algorithms, users' privacy must be considered before the learned model is released. In this work, we present an open-source library for privacy-preserving mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6b68bc03d3d262bc22ab8f1309d54b0
https://doi.org/10.1109/icassp.2017.7953387
https://doi.org/10.1109/icassp.2017.7953387