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1.
Zheng Hu-Li Guo Ze-Li Wang Mei-ling Yang Chuan An Shu-Yi Wu Wei 《Environmental science and pollution research international》2021,28(39):54299-54316
Environmental Science and Pollution Research - The new severe acute respiratory syndrome coronavirus 2 was initially discovered at the end of 2019 in Wuhan City in China and has caused one of the... 相似文献
2.
Liu Wen-Chao Guo Yan An Li-Long Zhao Zhi-Hui 《Environmental science and pollution research international》2021,28(9):10860-10871
Environmental Science and Pollution Research - High temperature environment causes reduction in productivity in broilers by disrupting the intestinal barrier function. This study aimed to... 相似文献
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Yingdan Zhang Na Liu Wei Wang Jianteng Sun Lizhong Zhu 《Frontiers of Environmental Science & Engineering》2020,14(6):103
6.
Duan Xiaoyue Sui Xinyu Wang Qian Wang Weiyi Li Na Chang Limin 《Environmental science and pollution research international》2020,27(35):43656-43669
Environmental Science and Pollution Research - This study aims at investigating the electrocatalytic oxidation of sodium pentachlorophenate (PCP-Na) using a novel nano-PbO2 powder anode. The... 相似文献
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An Ding Yingxue Zhao Huu Hao Ngo Langming Bai Guibai Li Heng Liang Nanqi Ren Jun Nan 《Frontiers of Environmental Science & Engineering》2020,14(6):96
9.
Diversity of antibiotic resistance genes and encoding ribosomal protection proteins gene in livestock waste polluted environment 总被引:1,自引:0,他引:1
Chunyan Li Cheng Jiang Zhiyang Wu Xuejiao An Hailan Wang 《Journal of environmental science and health. Part. B》2018,53(7):423-433
The rapid development and increase of antibiotic resistance are global phenomena resulting from the extensive use of antibiotics in human clinics and animal feeding operations. Antibiotics can promote the occurrence of antibiotic resistance genes (ARGs), which can be transferred horizontally to humans and animals through water and the food chain. In this study, the presence and abundance of ARGs in livestock waste was monitored by quantitative PCR. A diverse set of bacteria and tetracycline resistance genes encoding ribosomal protection proteins (RPPs) from three livestock farms and a river were analyzed through denaturing gradient gel electrophoresis (DGGE). The abundance of sul(I) was 103 to 105 orders of magnitude higher than that of sul(II). Among 11 tet-ARGs, the most abundant was tet(O). The results regarding bacterial diversity indicated that the presence of antibiotics might have an evident impact on bacterial diversity at every site, particularly at the investigated swine producer. The effect of livestock waste on the bacterial diversity of soil was stronger than that of water. Furthermore, a sequencing analysis showed that tet(M) exhibited two genotypes, while the other RPPs-encoding genes exhibited at least three genotypes. This study showed that various ARGs and RPPs-encoding genes are particularly widespread among livestock. 相似文献
10.
Na Wang You-Gan Wang Shuwen Hu Zhi-Hua Hu Jing Xu Hongwu Tang Guangqiu Jin 《Environmental Modeling and Assessment》2018,23(6):779-786
We introduce robust procedures for analyzing water quality data collected over time. One challenging task in analyzing such data is how to achieve robustness in presence of outliers while maintaining high estimation efficiency so that we can draw valid conclusions and provide useful advices in water management. The robust approach requires specification of a loss function such as the Huber, Tukey’s bisquare and the exponential loss function, and an associated tuning parameter determining the extent of robustness needed. High robustness is at the cost of efficiency loss in parameter loss. To this end, we propose a data-driven method which leads to more efficient parameter estimation. This data-dependent approach allows us to choose a regularization (tuning) parameter that depends on the proportion of “outliers” in the data so that estimation efficiency is maximized. We illustrate the proposed methods using a study on ammonium nitrogen concentrations from two sites in the Huaihe River in China, where the interest is in quantifying the trend in the most recent years while accounting for possible temporal correlations and “irregular” observations in earlier years. 相似文献