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Institution

Anhui University of Finance and Economics

EducationBengbu, China
About: Anhui University of Finance and Economics is a education organization based out in Bengbu, China. It is known for research contribution in the topics: China & Hopf bifurcation. The organization has 933 authors who have published 1070 publications receiving 11500 citations. The organization is also known as: AUFE.


Papers
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Journal ArticleDOI
TL;DR: A delayed computer virus model is generalized by introducing the time delay due to the period that the antivirus software uses to clean viruses in the breaking out computers and the quarantined computers, and the existence of a Hopf bifurcation is proved as the delay crosses a critical value.
Abstract: We generalize a delayed computer virus model, known as the SLBQRS model in a computer network, by introducing the time delay due to the period that the antivirus software uses to clean viruses in the breaking out computers and the quarantined computers. By choosing the delay as the parameter, we prove the existence of a Hopf bifurcation as the delay crosses a critical value. Moreover, we study properties of the Hopf bifurcation by applying the center manifold theorem and the normal form theory. Finally, we carry out numerical simulations to support the obtained theoretical conclusions.

7 citations

Journal ArticleDOI
TL;DR: In this article, a stochastic SIRI epidemic model with nonlinear relapse was introduced and sufficient conditions for extinction and persistence of the disease were given, and the existence of a stationary distribution and the ergodicity of the solutions were studied.
Abstract: In the present work, we introduce a stochastic SIRI epidemic model with nonlinear relapse. We give sufficient conditions for extinction and persistence of the disease. We also study the existence of a stationary distribution and the ergodicity of the solutions. As a special case of our results that under some conditions on noise intensities, we obtain the threshold R β for the disease. Finally, we provide some computer simulations to illustrate our theoretical findings.

7 citations

Journal ArticleDOI
TL;DR: In this article, the block copolymer coated cathodes display high optical transmittance and low work function, and they have abundant conductive channels and excellent longitudinal electron conductivity due to the interpenetrating networks formed by the polymer blocks.
Abstract: Emerging needs for the large-scale industrialization of organic solar cells require high performance cathode interlayers to facilitate the charge extraction from organic semiconductors. In addition to improving the efficiency, stability and processability issues are major challenges. Herein, we design block copolymers with well controlled chemical composition and molecular weight for cathode interlayer applications. The block copolymer coated cathodes display high optical transmittance and low work function. Conductivity studies reveal that the block copolymer thin film has abundant conductive channels and excellent longitudinal electron conductivity due to the interpenetrating networks formed by the polymer blocks. Applications of the cathode interlayers in organic solar cells provide higher power conversion efficiency and better stability compared to the most widely-applied ZnO counterparts. Furthermore, no post-treatment is needed which enables excellent processability of the block copolymer based cathode interlayer.

7 citations

Journal ArticleDOI
TL;DR: Using G-vertex-Lyapunov functions, G-stochastic analysis technique and graph-theory on multi-digraph, sufficient criteria are obtained for the stability of G-SPMGMs, which includes polynomial stability, exponential stability, and logarithmic stability as special cases.

7 citations

Journal ArticleDOI
TL;DR: The authors suggest to conduct such research with high potential risks prudently and responsibly from the perspective of responsible (research and) innovation, biosafety and biosecurity.

7 citations


Authors

Showing all 949 results

NameH-indexPapersCitations
Xiaoping Liu5926810535
Malin Song421905961
Jose Luis Menaldi22861804
Ming-Hsiang Chen22952766
Jung Wan Lee20891850
Xueli Chen191281273
Umer Shahzad1846979
Tony Fang18631008
Yan Zhang16961742
Zhiyang Shen1231345
Zeya Wang1229870
Kai Wang1130401
Zizhen Zhang938240
Lianbiao Cui912630
Kefei You929299
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202222
2021230
2020162
201992
201863