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1,013 results on '"Li, ShuXian"'

2. Effects of operational parameters on bacterial communities in Hong Kong and global wastewater treatment plants.

Author

Zhang, Yulin, Deng, Yu, Wang, Chunxiao, Li, Shuxian, Lau, Frankie, Zhang, Tong, and Zhou, Jizhong

Subjects
activated sludge, assembly mechanism, microbial dark matter, nitrification, operational parameters, wastewater treatment plants, Wastewater, Sewage, Hong Kong, Bacteria, Water Purification, Environmental Pollutants
Abstract

UNLABELLED: Wastewater treatment plants (WWTPs) are indispensable biotechnology facilities for modern cities and play an essential role in modern urban infrastructure by employing microorganisms to remove pollutants in wastewater, thus protecting public health and the environment. This study conducted a 13-month bacterial community survey of six full-scale WWTPs in Hong Kong with samples of influent, activated sludge (AS), and effluent to explore their synchronism and asynchronism of bacterial community. Besides, we compared AS results of six Hong Kong WWTPs with data from 1,186 AS amplicon data in 269 global WWTPs and a 9-year metagenomic sequencing survey of a Hong Kong WWTP. Our results showed the compositions of bacterial communities varied and the bacterial community structure of AS had obvious differences across Hong Kong WWTPs. The co-occurrence analysis identified 40 pairs of relationships that existed among Hong Kong WWTPs to show solid associations between two species and stochastic processes took large proportions for the bacterial community assembly of six WWTPs. The abundance and distribution of the functional bacteria in worldwide and Hong Kong WWTPs were examined and compared, and we found that ammonia-oxidizing bacteria had more diversity than nitrite-oxidizing bacteria. Besides, Hong Kong WWTPs could make great contributions to the genome mining of microbial dark matter in the global wanted list. Operational parameters had important effects on OTUs abundance, such as the temperature to the genera of Tetrasphaera, Gordonia and Nitrospira. All these results obtained from this study can deepen our understanding of the microbial ecology in WWTPs and provide foundations for further studies. IMPORTANCE: Wastewater treatment plants (WWTPs) are an indispensable component of modern cities, as they can remove pollutants in wastewater to prevent anthropogenic activities. Activated sludge (AS) is a fundamental wastewater treatment process and it harbors a highly complex microbial community that forms the main components and contains functional groups. Unveiling who is there is a long-term goal of the research on AS microbiology. High-throughput sequencing provides insights into the inventory diversity of microbial communities to an unprecedented level of detail. At present, the analysis of communities in WWTPs usually comes from a specific WWTP and lacks comparisons and verification among different WWTPs. The wide-scale and long-term sampling project and research in this study could help us evaluate the AS community more accurately to find the similarities and different results for different WWTPs in Hong Kong and other regions of the world.

Published
2024

3. Identification of a novel LFNG variant in a Chinese fetus with spondylocostal dysostosis and a systematic review

Author

Wang, Lin, Mizumoto, Shuji, Zhang, Ruixue, Zhang, Yuqi, Liu, Yuan, Cheng, Wenjing, Li, Xin, Dan, Min, Zhang, Chunyan, Gao, Xinru, Wang, Juan, Han, Jiaqi, Jiao, Lianying, Wang, Yating, Jin, Qiujie, Yang, Lihui, Li, Chenxing, Li, Shuxian, Zhu, Jinhui, Jiang, Hai, Nishimura, Gen, Yamada, Takahiro, Yamada, Shuhei, Cai, Na, Qiang, Rong, and Guo, Long

Published
2024
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8. Prediction of Transformer Windings Temperature at the Moment of Power Failure Based on Regression Curve Fitting Algorithm

Author

Wang, Xiaoyuan, Xin, Tian, Chen, Dawei, Zhao, Bingqing, Li, Shuxian, Li, Jingjing, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Zhang, Yonghong, editor, Qi, Lianyong, editor, Liu, Qi, editor, Yin, Guangqiang, editor, and Liu, Xiaodong, editor

Published
2024
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25. ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification

Author

Li, Shuxian, Song, Liyan, Wu, Xiaoyu, Hu, Zheng, Cheung, Yiu-ming, Yao, Xin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Koutra, Danai, editor, Plant, Claudia, editor, Gomez Rodriguez, Manuel, editor, Baralis, Elena, editor, and Bonchi, Francesco, editor

Published
2023
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44. A new centered spatio-temporal autologistic regression model. Application to spatio-temporal analysis of esca disease in a vineyard

Author

Gégout-Petit, Anne, Guérin-Dubrana, Lucia, and Li, Shuxian

Subjects
Statistics - Applications
Abstract

We propose a new centered autologistic spatio-temporal model for binary data on a lattice. The centering allows the interpretation of the autoregression coefficients in separating the large scale structure of the model corresponding to an expected mean and the small-scale structure corresponding to the auto-correlation. We discuss the existence of the joint law of the process and show by simulation the interest of this kind of centering. We propose and show the efficiency of the maximum pseudo-likelihood estimator and also a method to choose the best structure of neighborhood. Method is applied to model and fit epidemiological data about Esca disease on a vineyard of the Bordeaux region.

Published
2018

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