Qi Yao

Periodic solutions of an impulsive SIR epidemic model incorporating a mean-reverting Ornstein–Uhlenbeck process for the incidence rate

Xiaochen Ma, Qi Yao, Daqing Jiang

An impulsive SIR epidemic model characterized by an incidence rate governed by a mean-reverting Ornstein–Uhlenbeck process is investigated in this paper. First, the existence and uniqueness of the global positive solution to the impulsive SIR epidemic model are established by constructing an …

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Finite-Time Boundedness of Impulsive Delayed Reaction–Diffusion Stochastic Neural Networks

Qi Yao, Tengda Wei, Ping Tao Lin, Linshan Wang

Considering the impulsive delayed reaction-diffusion stochastic neural networks (IDRDSNNs) with hybrid impulses, the finite-time boundedness (FTB) and finite-time contractive boundedness (FTCB) are investigated in this article. First, a novel delay integral inequality is presented. By integrating this inequality with the comparison principle, …

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A single-cell transcriptome atlas profiles early organogenesis in human embryos

Yichi Xu, Tengjiao Zhang, Qin Zhou, Mengzhu Hu et autres

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A single-cell transcriptome atlas of human early embryogenesis

Yichi Xu, Tengjiao Zhang, Qin Zhou, Mengzhu Hu et autres

Abstract The early window of human embryogenesis is largely a black box for developmental biologists. Here we probed the cellular diversity of 4- to 6-week human embryos when essentially all organs are just laid out. Based on over 180,000 single-cell transcriptomes, we …

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Temperature compensation for FOG based on polynomial regression and RBF neural network

Ruoxiang Tang, Jie Yu, Zhisheng Zheng, Qi Yao et autres

The temperature drift causes the zero-bias drift of the fiber optic gyroscope to show complex nonlinear changes, which seriously restricts the measurement accuracy of the fiber optic gyroscope. Therefore, it is necessary to establish an accurate temperature compensation model to compensate for …

Instability of impulsive stochastic systems with application to image encryption

Tengda Wei, Ping Tao Lin, Quanxin Zhu, Qi Yao

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Existence-uniqueness and stability of the mild periodic solutions to a class of delayed stochastic partial differential equations and its applications

Qi Yao, Linshan Wang, Yangfan Wang

In this paper, we focus on the mild periodic solutions to a class of delayed stochastic reaction-diffusion differential equations. First, the key issues of Markov property in Banach space \begin{document}$ C $\end{document} , \begin{document}$ p $\end{document} -uniformly boundedness, and \begin{document}$ p $\end{document} …

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Practical Exponential Stability of Impulsive Stochastic Reaction–Diffusion Systems With Delays

Qi Yao, Ping Tao Lin, Linshan Wang, Yangfan Wang

This article studies the practical exponential stability of impulsive stochastic reaction-diffusion systems (ISRDSs) with delays. First, a direct approach and the Lyapunov method are developed to investigate the p th moment practical exponential stability and estimate the convergence rate. Note that these …

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Periodic solutions to impulsive stochastic reaction-diffusion neural networks with delays

Qi Yao, Linshan Wang, Yangfan Wang

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Periodic Solutions to Stochastic Reaction-Diffusion Neural Networks With S-Type Distributed Delays

Qi Yao, Yangfan Wang, Linshan Wang

In this paper, the existence and stability of mild periodic solutions to the stochastic reaction-diffusion neural networks (SRDNNs) with S-type distributed delays are studied. First, the key issues of the Markov property of mild solutions to the SRDNNs with S-type distributed delays …

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Adaptive synchronization of stochastic complex dynamical networks and its application

Tengda Wei, Qi Yao, Ping Tao Lin, Linshan Wang

This paper investigates exponential synchronization for stochastic complex dynamical networks with reaction–diffusion terms and S-type distributed delays. Based on a generalized Halanay inequality and Poincaré inequality, adaptive control strategies for exponential synchronization are established by constructing a simple Lyapunov–Krasovskii functional candidate and …

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Existence–uniqueness and stability of reaction–diffusion stochastic Hopfield neural networks with S-type distributed time delays

Qi Yao, Linshan Wang, Yangfan Wang

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