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Search Results: 1 - 10 of 9583 matches for " Jiangning Zeng "
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The Influence of Intense Chemical Pollution on the Community Composition, Diversity and Abundance of Anammox Bacteria in the Jiaojiang Estuary (China)
Baolan Hu, Lidong Shen, Ping Du, Ping Zheng, Xiangyang Xu, Jiangning Zeng
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0033826
Abstract: Continuous chemical pollution is one of the most serious environmental problems in the Jiaojiang Estuary of the East Sea (China). This chemical pollution has significantly changed the estuarine environmental conditions and may have profoundly influenced the distribution of anammox bacterial communities in this estuary. Here, we investigated the influence of chemical pollution on the community composition, diversity and abundance of anammox bacteria in Jiaojiang estuarine sediments. Phylogenetic analysis of 16S rRNA genes showed that the majority of anammox bacterial sequences retrieved from the estuarine intertidal sediments were associated with Kuenenia. In contrast, different anammox communities composed of Brocadia, Kuenenia, Scalindua and Jettenia were found in the estuarine subtidal sediments. Redundancy analysis (RDA) indicated that the sediment nitrobenzene and organic content had significant impacts on the distribution of anammox communities in the intertidal sediments. Pearson correlation analysis showed that the diversity of anammox bacteria in the intertidal sediments was positively correlated with the organic content. In contrast, RDA results showed that the nitrobenzene content, NO3? concentration and salinity significantly influenced the distribution of anammox communities in the subtidal sediments. The diversity and relative abundance of anammox bacteria in the subtidal sediments were positively correlated with NO3? concentration.
Advance in the toxic effects of petroleum water accommodated fraction on marine plankton

Zhibing Jiang,Yijun Huang,Xiaoqun Xu,Yibo Liao,Lu Shou,Jingjing Liu,Quanzhen Chen,Jiangning Zeng,

生态学报 , 2010,
Abstract:
The impact of oil pollution on marine phytoplankton community growth change
石油污染对海洋浮游植物群落生长的影响

HUANG Yijun,CHEN Quanzhen,ZENG Jiangning,JIANG Zhibing,
黄逸君
,陈全震,曾江宁,江志兵

生态学报 , 2011,
Abstract: Increasing demands for and utilizations of petrochemicals have resulted in an increase in levels of petroleum hydrocarbons in marine,coastal and estuarine environment.Maritime oil contamination usually caused by maritime incidents has catastrophic impacts on the marine environment.More generally,merchant ships can have a significant environmental impact due to on-going human activities,e.g.air and sea pollutions caused by oil,fuel,waste disposal,and the effects of ballast water exchange processes.The oil co...
Mathematical Modelling of the MAP Kinase Pathway Using Proteomic Datasets
Tianhai Tian, Jiangning Song
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0042230
Abstract: The advances in proteomics technologies offer an unprecedented opportunity and valuable resources to understand how living organisms execute necessary functions at systems levels. However, little work has been done up to date to utilize the highly accurate spatio-temporal dynamic proteome data generated by phosphoprotemics for mathematical modeling of complex cell signaling pathways. This work proposed a novel computational framework to develop mathematical models based on proteomic datasets. Using the MAP kinase pathway as the test system, we developed a mathematical model including the cytosolic and nuclear subsystems; and applied the genetic algorithm to infer unknown model parameters. Robustness property of the mathematical model was used as a criterion to select the appropriate rate constants from the estimated candidates. Quantitative information regarding the absolute protein concentrations was used to refine the mathematical model. We have demonstrated that the incorporation of more experimental data could significantly enhance both the simulation accuracy and robustness property of the proposed model. In addition, we used the MAP kinase pathway inhibited by phosphatases with different concentrations to predict the signal output influenced by different cellular conditions. Our predictions are in good agreement with the experimental observations when the MAP kinase pathway was inhibited by phosphatase PP2A and MKP3. The successful application of the proposed modeling framework to the MAP kinase pathway suggests that our method is very promising for developing accurate mathematical models and yielding insights into the regulatory mechanisms of complex cell signaling pathways.
Predicting residue-wise contact orders in proteins by support vector regression
Jiangning Song, Kevin Burrage
BMC Bioinformatics , 2006, DOI: 10.1186/1471-2105-7-425
Abstract: We developed a novel approach to predict residue-wise contact order values in proteins based on support vector regression (SVR), starting from primary amino acid sequences. We explored seven different sequence encoding schemes to examine their effects on the prediction performance, including local sequence in the form of PSI-BLAST profiles, local sequence plus amino acid composition, local sequence plus molecular weight, local sequence plus secondary structure predicted by PSIPRED, local sequence plus molecular weight and amino acid composition, local sequence plus molecular weight and predicted secondary structure, and local sequence plus molecular weight, amino acid composition and predicted secondary structure. When using local sequences with multiple sequence alignments in the form of PSI-BLAST profiles, we could predict the RWCO distribution with a Pearson correlation coefficient (CC) between the predicted and observed RWCO values of 0.55, and root mean square error (RMSE) of 0.82, based on a well-defined dataset with 680 protein sequences. Moreover, by incorporating global features such as molecular weight and amino acid composition we could further improve the prediction performance with the CC to 0.57 and an RMSE of 0.79. In addition, combining the predicted secondary structure by PSIPRED was found to significantly improve the prediction performance and could yield the best prediction accuracy with a CC of 0.60 and RMSE of 0.78, which provided at least comparable performance compared with the other existing methods.The SVR method shows a prediction performance competitive with or at least comparable to the previously developed linear regression-based methods for predicting RWCO values. In contrast to support vector classification (SVC), SVR is very good at estimating the raw value profiles of the samples. The successful application of the SVR approach in this study reinforces the fact that support vector regression is a powerful tool in extracting the protei
A comparative study of macrobenthic community under different mariculture types in Xiangshan Bay, China
象山港不同养殖类型海域大型底栖动物群落比较研究

LIAO Yibo,SHOU Lu,ZENG Jiangning,GAO Aigen,JIANG Zhibing,
廖一波
,寿鹿,曾江宁,高爱根,江志兵

生态学报 , 2011,
Abstract: Xiangshan Bay,located on the east coast of China,is a semi-enclosed bay with slow rate of water exchange.Pollutants from aquaculture systems that released to the bay are not effectively dispersed to the open sea.The adverse environmental impacts of aquaculture development has now become a matter of urgency to the region.This paper presents the results of a comparative study of macrobenthic communities under three different mariculture areas including sea tangle culture area,oyster-culture area and fish cage...
Antenna Array Pattern Synthesis via Coordinate Descent Method  [PDF]
Yuanhao Wang, Xiaoxi He, Jiangning Wang, Sergey Berezin, Wolfgang Mathis
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2015, DOI: 10.4236/jemaa.2015.75018
Abstract: This paper presents an array pattern synthesis algorithm for arbitrary arrays based on coordinate descent method (CDM). With this algorithm, the complex element weights are found to minimize a weighted L2 norm of the difference between desired and achieved pattern. Compared with traditional optimization techniques, CDM is easy to implement and efficient to reach the optimum solutions. Main advantage is the flexibility. CDM is suitable for linear and planar array with arbitrary array elements on arbitrary positions. With this method, we can configure arbitrary beam pattern, which gives it the ability to solve variety of beam forming problem, e.g. focused beam, shaped beam, nulls at arbitrary direction and with arbitrary beam width. CDM is applicable for phase-only and amplitude-only arrays as well, and furthermore, it is a suitable method to treat the problem of array with element failures.
Community pattern and diversity of macrozoobenthos in an intertidal flat, Jiaojiang Estuary
椒江口滩涂大型底栖动物群落格局与多样性

Yongqiang Zhao,Jiangning Zeng,Aigen Gao,Quanzhen Chen,Yibo Liao,Lu Shou,
赵永强
,曾江宁,高爱根,陈全震,廖一波,寿鹿

生物多样性 , 2009,
Abstract: 为了解椒江口滩涂大型底栖动物群落格局与多样性, 揭示其对环境变化的响应规律, 作者于2007年10月、2008年1月、4月和7月在椒江口南岸和北岸潮间带, 沿河流到海洋方向共布设6条采样断面进行大型底栖动物调查。分析了大型底栖动物种类组成、栖息密度和生物量的时空变化特征, 在此基础上运用α, β和γ多样性测度方法对大型底栖动物多样性进行分析, 同时探讨了大型底栖动物群落结构对环境变化的响应方向及程度, 结果显示: (1) 6条断面共记录到大型底栖动物78种, 总种数随季节变化显著, 在空间上沿河流到海洋方向呈升高趋势; (2) 栖息密度的季节变化不显著(P=0.145>0.05), 但空间变化显著(P=0.017<0.05), 生物量的季节变化显著(P=0.012<0.05), 空间变化极显著(P=0.004<0.01); (3) β和γ多样性指数定量显示了椒江河口区域滩涂环境的多变性和大型底栖动物群落的多样性和更替性。
A simulation of the combined effects of temperature increase and chlorination on phytoplankton in a coastal power plant cooling system
滨海电厂冷却系统温升和加氯对浮游植物联合作用的模拟研究

JIANG Zhibing,ZENG Jiangning,CHEN Quanzhen,ZHENG Ping Laboratory of Marine Ecosystem Biogeochemistry,Second Institute of Oceanography State Oceanic Administration,Hangzhou College of Environmental,Resource Science,Zhejiang University,Hangzhou,
江志兵
,曾江宁,陈全震,郑平

环境科学学报 , 2009,
Abstract: 为探明当前滨海电厂冷却系统热冲击和加氯对浮游植物的影响程度,于室内对采自乐清湾的浮游植物进行短期(15、30 min)温升(0、4、8、12℃)和加氯(O、1.0、1.8、3.2 mg·L-1)胁迫的模拟研究.结果表明,加氯、暴露时间、加氯和温升间的交互作用对叶绿素a(Chl-a)浓度有显著影响(P<0.01).但温升对Chl-a浓度无显著影响(P>0.05).热冲击和加氯胁迫后.浮游植物细胞活性显著降低(P<0.05).加氯对Chl-a浓度及浮游植物细胞活性影响最大.目前,滨海电厂浓度为1-2 mg·L-1的加氯处理对浮游植物影响较大,但温升8-12℃的热冲击对浮游植物影响不大.
Diversity of microorganisms in sediments of the Jiaojiang Estuary as estimated by Biolog and PCR-DGGE
Biolog和PCR-DGGE技术解析椒江口沉积物微生物多样性

DU Ping,LIU Jingjing,SHEN Lidong,HU Baolan,ZENG Jiangning,CHEN Quanzhen,SHOU Lu,LIAO Yibo,
杜萍
,刘晶晶,沈李东,胡宝兰,曾江宁,陈全震,寿鹿,廖一波

环境科学学报 , 2012,
Abstract: Biolog and PCR-DGGE methods were used to estimate the catabolic and genetic diversity of microorganisms in the surface sediments at six sites in the Jiaojiang Estuary. The package CANOCO was used to determine the correlation between microbial diversity and physiochemical parameters. It was shown by Biolog that the microbial metabolic activity was in the order of intertidal zone and mouth of the estuary>within the mouth>outside the mouth.The values of Shannon-Wiener index for microbial carbon sources ranged from 2.09 to 3.25 in the order of intertidal zone and mouth of the estuary>within the river course > near the mouth > outside the mouth. The use efficiency of different carbon sources for microorganisms was similar in the intertidal zone, mouth of the estuary and within the estuary. However, different use efficiencies of carbon sources were observed near and outside the mouth, where the use efficiency of polymers for microorganisms was much higher than those of amino acids or amine. The DGGE results indicated high spatial heterogeneity of bacterial community structures along the salinity gradient and high similarity (82.27%) of the bacterial community structure between the two sampling sites in the intertidal zone. The values of Shannon-Wiener index for bacterial community structure ranged from 1.68 to 2.87 in the order of intertidal zone > mouth of the estuary > outside the mouth > near the mouth > within the river course. Redundancy gradient analysis (RDA) showed that the distribution of organic matter and nitrobenzene mainly explained the change of microbial catabolism. On the other hand, Canonical correspondence analysis (CCA) showed that the bacterial community structure might be significantly influenced by nitrobenzene and PAHs. Therefore, we concluded that the diversity of microbial catabolism and community structure in the surface sediments of Jiaojiang Estuary was influenced by both the estuarine physicochemical conditions and anthropogenic pollution.
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