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Institution

Southwest University

EducationChongqing, China
About: Southwest University is a education organization based out in Chongqing, China. It is known for research contribution in the topics: Population & Bombyx mori. The organization has 29772 authors who have published 27755 publications receiving 409441 citations. The organization is also known as: Southwest University in Chongqing & SWU.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors relax the hypothesized homogeneity and linearity in traditional empirical models to investigate the effects of renewable energy technology innovation on China's green productivity, and the results of the partially linear functional-coefficient models show that the effect of renewable EH innovation on green productivity is significant only when the relative income level of a province passes a critical turning point.

136 citations

Journal ArticleDOI
TL;DR: Under the designed event-triggered protocol, by selecting suitable parameters, for any directed digital network containing a spanning tree, the distributed average consensus can be always achieved with an exponential convergence rate based on merely one bit information exchange between each pair of adjacent agents at each time step.
Abstract: In this paper, we consider the event-triggered distributed average-consensus of discrete-time first-order multiagent systems with limited communication data rate and general directed network topology. In the framework of digital communication network, each agent has a real-valued state but can only exchange finite-bit binary symbolic data sequence with its neighborhood agents at each time step due to the digital communication channels with energy constraints. Novel event-triggered dynamic encoder and decoder for each agent are designed, based on which a distributed control algorithm is proposed. A scheme that selects the number of channel quantization level (number of bits) at each time step is developed, under which all the quantizers in the network are never saturated. The convergence rate of consensus is explicitly characterized, which is related to the scale of network, the maximum degree of nodes, the network structure, the scaling function, the quantization interval, the initial states of agents, the control gain and the event gain. It is also found that under the designed event-triggered protocol, by selecting suitable parameters, for any directed digital network containing a spanning tree, the distributed average consensus can be always achieved with an exponential convergence rate based on merely one bit information exchange between each pair of adjacent agents at each time step. Two simulation examples are provided to illustrate the feasibility of presented protocol and the correctness of the theoretical results.

136 citations

Journal ArticleDOI
TL;DR: In this article, a modified glassy carbon electrode (GCE) was used for the simultaneous determination of ascorbic acid, dopamine, and uric acid with detection limits of 0.3, 0.17, and 0.
Abstract: Graphene oxide (GO) has been demonstrated to be functionalized by hemin without any other reducing agents and the hemin functionalized graphene oxide (H-GO) hybrid nanomaterial was obtained under the condition of sonication, which could be ascribed to the π–π stacking and cation-π interactions between GO and hemin molecules. H-GO composite, characterized by scanning electron microscopy and UV–vis absorption spectroscopy, was used for preparation of the modified electrode considering its great electrocatalytic activity, large surface area, and abundant active sites. Due to the unique structure and excellent properties, H-GO modified glassy carbon electrode (GCE) showed high electrocatalytic activities for the oxidation of ascorbic acid, dopamine, and uric acid, achieving the simultaneous determination for those three different kinds of biomolecules with detection limits of 0.3, 0.17, and 0.17 μmol L−1 (S/N = 3), respectively. In addition, the proposed biosensor exhibited high selectivity and good stability, which could be applied for the electrochemical determination in practical samples with satisfying results.

135 citations

Journal ArticleDOI
Yan-Mei Lei1, Wei-Xing Huang1, Min Zhao1, Yaqin Chai1, Ruo Yuan1, Ying Zhuo1 
TL;DR: A novel electrochemiluminescence resonance energy transfer (ECL-RET) system from O2/S2O8(2-) to a kind of amino-terminated perylene derivative (PTC-NH2) was demonstrated for the first time, which was then applied to construct a ratiometric aptasensor for lead ion (Pb(2+)) detection.
Abstract: In this paper, a novel electrochemiluminescence resonance energy transfer (ECL-RET) system from O2/S2O82– to a kind of amino-terminated perylene derivative (PTC-NH2) was demonstrated for the first time, which was then applied to construct a ratiometric aptasensor for lead ion (Pb2+) detection. First, gold-nanoparticles-functionalized fullerene nanocomposites (AuNPs@nano-C60) were coated on a glassy carbon electrode (GCE), and then thiol-modified assistant probes (APs) were attached on AuNPs@nano-C60/GCE. Then the resultant electrode was hybridized with capture probes (the aptamer of the Pb2+, abbreviated as CPs) to generate DNA duplexes, which could induce PTC-NH2 to be intercalated into the dsDNA grooves by the electrostatic adsorption. Herein, ECL dual peaks at −0.7 V (vs Ag/AgCl) and −2.0 V (vs Ag/AgCl) were obtained when the prepared aptasensor was detected in air-saturated S2O82– solution, which could be attributed to the emission of excited dimmers (π-excimers) (1(NH2–PTC)2*) and 1(O2)2*, respective...

135 citations

Journal ArticleDOI
TL;DR: By modeling the switching of network topologies as a Markov process, a novel event-triggered synchronization strategy is proposed and a sufficient condition for the mean square synchronization of the complex networks subject to Markovian switching topologies is established.

135 citations


Authors

Showing all 29978 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Hongjie Dai197570182579
Jing Wang1844046202769
Chao Zhang127311984711
Jianjun Liu112104071032
Miao Liu11199359811
Jun Yang107209055257
Eric Westhof9847234825
En-Tang Kang9776338498
Chang Ming Li9789642888
Wei Zhou93164039772
Li Zhang9291835648
Heinz Rennenberg8752726359
Tao Chen8682027714
Xun Wang8460632187
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022461
20213,537
20203,257
20192,923
20182,479