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        Comparative morphology of sensilla on antenna, maxillary palp and labial palp of larvae of white‐spotted and yellow‐spotted Asian long‐horned beetle, Anoplophora glabripennis Motschulsky (Coleoptera: Cerambycidae)

        Yuchao Yang,Lili XU,Lili REN,Zhichun XU,Shixiang ZONG 한국곤충학회 2017 Entomological Research Vol.47 No.1

        The Asian long‐horned beetle (ALB) is one of the most important wood‐boring insects worldwide that damages broad‐leaved trees, primarily poplar, willow, elm and maple. Based on the color of the spots on the elytra, the beetles are separated into white‐spotted (ALB‐W) and yellow‐spotted (ALB‐Y) Asian long‐horned beetles. In order to clarify the morphology of sensilla on antenna, maxillary palp and labial palp of ALB‐W and ALB‐Y larvae, we studied the typology, morphology, number and distribution of the sensilla by scanning electron microscopy. The results showed that: (i) the antennae of two biotypes had five types of sensilla, including three types of sensilla basiconica (b.) and two types of sensilla twig basiconica (s.tb); numbers of b.1, b.2, b.3 and s.tb1 on antenna were not significantly different (P > 0.05) between two biotypes, and the numbers of s.tb2 were significantly different (P < 0.05); (ii) the maxillary palp of two biotypes had four types of sensilla, including sensilla styloconica (st.), two types of s.tb and digitiform sensilla (ds.); the numbers of st. and ds. on the maxillary palp were not significantly different (P > 0.05) between two biotypes, and the numbers of s.tb1 and s.tb2 were significantly different (P < 0.05); (iii) the labial palp of two biotypes had four types of sensilla, including b., st. and two types of s.tb, and the numbers of b.3, st., s.tb1 and s.tb2 on the labial palp were not significantly different (P > 0.05) between two biotypes. We discuss the relationships between sensilla and damage caused by the larvae inside the host trees.

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        Stability Analysis of High-order Proportional Delayed Cellular Neural Networks with D Operators

        Xiaojin Guo,Chuangxia Huang,Zhichun Yang,Jiping Zhang,Jinde Cao 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.2

        In this paper, we focus on a class of high-order proportional delayed cellular neural networks involving D operator. First of all, the existence on the positive equilibrium points of the addressed system is revealed by applying the Brouwer’s fixed point theorem. Secondly, by utilizing the differential inequality techniques, Lyapunov function method and the matrix spectral radius theory, the global exponential stability of the positive equilibrium point is established for the first time, which shows that all solutions of the addressed system are eventually positive. Finally, the validity and practicability of our results are illustrated by some numerical simulations. The obtained results extend and improve some existing ones.

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        Nonlinear Aeroelastic Analysis of Heated Curved Panels in Supersonic Air Flow

        Zhou Jian,Xu Minglong,Yang Zhichun 한국항공우주학회 2020 International Journal of Aeronautical and Space Sc Vol.21 No.4

        A nonlinear aeroelastic model for a two-dimensional heated curved panel in supersonic air flow is established by using Galerkin method. The von Karman large deflection theory and the third-order piston theory appended with the static aerodynamic loading are used in the governing equations. The static aero-thermal deflection of the curved panel is firstly obtained by using Newton iterative approach. Then the stability boundary under different temperature elevations is achieved by using Lyapunov’s indirect method. Lastly, the motion equations of a heated curved panel in supersonic air flow are solved by a fourth-order Runge–Kutta numerical scheme. Time history responses, phase plots, Poincare maps and bifurcation diagrams are used for better understanding of the pre/post-flutter responses of a curved panel by varying parameters, including curvatures, dynamic pressures and temperature elevations. The results demonstrate that the flutter boundary drops significantly with increasing temperature elevation for panels with small curvatures. However, the flutter boundary almost keeps the same for panels with large curvatures. The nonlinear flutter characteristics of the curved panel differs from those of flat panels significantly, the nonlinear flutter response of heated curved panels changes from static equilibrium point or LCO to chaos with the increase of temperature elevation or dynamic pressure and the static, LCO motions also exist in the chaotic area. For panels with large curvatures, the chaotic motions cannot occur, and the amplitude of LCO is limited in a certain range.

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