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Institution

China Three Gorges University

EducationYichang, China
About: China Three Gorges University is a education organization based out in Yichang, China. It is known for research contribution in the topics: Catalysis & Landslide. The organization has 11161 authors who have published 8011 publications receiving 82224 citations. The organization is also known as: Sanxia Daxue.


Papers
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Journal ArticleDOI
TL;DR: An ant colony optimization (ACO) based algorithm for continuous optimization problems on structural damage detection in the SHM field is proposed and results show that the proposed method is feasible and effective in the ShM field.

55 citations

Journal ArticleDOI
TL;DR: Treatment of wastewater with biofilm attached cultivation of C. pyrenoidosa in swine wastewater containing heavy metals could accumulate considerable biomass and lipid, and the removal ratio of NH4+–N, TP, COD, and as well as heavy metal were high.
Abstract: This study showed the new potential of using soluble contents and heavy metals in swine wastewater as nutrient supplements for the algae Chlorella Pyrenoidosa with biofilm attached method Algae with biofilm attached cultivation grew well in unpasteurized wastewater reaching a biomass productivity of 503 gm-2d-1, lipid content of 359% and lipid productivity of 180 gm-2d-1 Chlorella grew in BG11 medium delivered lower values for each of the aforementioned parameters The FAMEs compositions in the algae paste were mainly consisted of C16:0, C18:2, and C18:3 Algae removed NH4+-N, Total Phosphorus (TP) and COD by 759%, 684%, and 748%, respectively Notably, Zn2+, Cu+, and Fe2+ were removed from wastewater with a ratio of 6571%, 5364%, and 5889%, respectively Biofilm attached cultivation of Chlorella Pyrenoidosa in swine wastewater containing heavy metals could accumulate considerable biomass and lipid, and the removal ratio of NH4+-N, TP, COD and, as well as heavy metal were high Treatment of wastewater with biofilm attached cultivation showed an increasingly popular for the concentration of microalgae and environmental sustainability

55 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of soil N:P stoichiometry manipulations via gradients of long-term N and P additions in a Mongolian steppe was investigated.
Abstract: Arbuscular mycorrhizal fungi (AMF) form symbiosis with most terrestrial plant roots, obtaining photosynthates in return for mineral nutrients. Ecological theories based on the economics of trading partnership predict that nutrient enrichment would suppress AMF. Experimental results from nitrogen (N) and phosphorus (P) additions, however, were highly variable, and the underlying mechanisms remain unclear. Here we show distinct AMF responses to soil N:P stoichiometry manipulations via gradients of long‐term N and P additions in a Mongolian steppe. A complementary experiment with an acid addition gradient was designed to help tease apart the effect of N‐induced acidification from N nutrient. AMF root colonization and extraradical fungal biomass progressively decreased along the P gradient under two distinct host plant species, suggesting a carbon (C)‐P tradeoff. In contrast, low to moderate N inputs increased both AMF parameters, corresponding to the increasing N:P ratio. Yet, high N inputs reduced AMF colonization and biomass, and the magnitudes of N‐led inhibition were similar to those under acid additions that induced comparable changes in soil pH. Structural equation modeling further showed that while soil N:P stoichiometry primarily controlled the effect of P addition on AMF, N‐induced soil acidity overtook the N:P stoichiometry under high N inputs and dominated the effects of reactive N on AMF. In addition, AMF community composition in roots was more dependent on host plants and unresponsive to changes in soil nutrients. We further proposed a comprehensive framework that integrates biological and geochemical effects of reactive N and P inputs on AMF. Together, these results indicate that while the C‐P tradeoff controls P suppression of AMF, N‐induced acidification dominates the N inhibition. Our findings suggest that incorporation of geochemical impacts of N and P inputs would facilitate modeling efforts to project mycorrhizal impact on plant interactions and soil C balance under future nutrient enrichment scenarios.

55 citations

Journal ArticleDOI
TL;DR: In this article, three metal-organic frameworks (MOFs) based on hetero-O, N donor ligands were synthesized and structurally characterized by single-crystal X-ray diffraction analyses.
Abstract: Three new metal–organic frameworks (MOFs) based on hetero-O, N donor ligands, (Cu4I4)[Cu2(PDC)2DMF2]2·2DMF·H2O (JLU-Liu15), (Cu4I4)[Cu3(CPNA)3(Dabco)0.5DMF3]·4DMF·4H2O (JLU-Liu16), and (Cu4I4)[Cu3(CPNA)3(H2O)0.5DMF3]·4DMF·4H2O (JLU-Liu17), (H2PDC = pyridine-3,5-dicarboxylic acid, H2CPNA = 5-(4′-carboxylphenyl) nicotinic acid, Dabco = 1,4-diazabicyclo[2.2.2]octane), have been solvothermally synthesized and structurally characterized by single-crystal X-ray diffraction analyses. JLU-Liu15 features a (3,4,4)-c sqc5588 net, whereas JLU-Liu16 and JLU-Liu17 are isostructural and possess a new (3,4,4)-c topology. All of these compounds are composed of the binodal inorganic Cu2(CO2)4 paddlewheel and Cu4I4 cluster secondary building units (SBUs). It is worthy to note that the linkage between two nearby Cu4I4 clusters in JLU-Liu16 is μ2-Dabco, which changed to a μ2-water molecule in JLU-Liu17. Furthermore, JLU-Liu15 exhibits high CO2 adsorption behaviors as well as I2 uptake and release features.

54 citations

Journal ArticleDOI
TL;DR: In this article, the global exponential stability in Lagrange sense for a class of Cohen-Grossberg neural networks with time-varying delays and finite distributed delays is studied.

54 citations


Authors

Showing all 11222 results

NameH-indexPapersCitations
Shu Li136100178390
Yu Huang136149289209
Jian Zhang107306469715
Tao Li102248360947
Jian Chen96171852917
Jing Zhang95127142163
Qichun Zhang9454028367
Bin Li92175542835
Xianhui Bu8729020927
Dawei Wang8593441226
Guangshan Zhu7736921281
Fei Xu7174324009
Jian Zhang7031714802
Ying Wu7048922952
Chao Zhang6933123555
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202333
202285
2021997
2020900
2019754
2018571