Institution
Jimei University
Education•Amoy, China•
About: Jimei University is a education organization based out in Amoy, China. It is known for research contribution in the topics: Computer science & Population. The organization has 4645 authors who have published 4293 publications receiving 42239 citations. The organization is also known as: Jíměi Dàxué.
Topics: Computer science, Population, Larimichthys crocea, Gene, Chemistry
Papers published on a yearly basis
Papers
More filters
••
TL;DR: This paper presents multi-almost periodicity of a general class of discrete-time neural networks derived from a well-known semi-discretization technique, that is, coexistence and exponential stability of 2N almost periodic sequence solutions of discrete time neural networks subjected to external almost periodic stimuli.
20 citations
••
TL;DR: Based on the classical stage-structured model and Lotka-Volterra predator-prey model, an impulsive delayed differential equation to model the process of periodically releasing natural enemies at fixed times for pest control is proposed and investigated in this article.
Abstract: Based on the classical stage-structured model and Lotka–Volterra predator–prey model, an impulsive delayed differential equation to model the process of periodically releasing natural enemies at fixed times for pest control is proposed and investigated. We show that the conditions for global attractivity of the ‘pest-extinction’ (‘prey-eradication’) periodic solution and permanence of the population of the model depend on time delay. We also show that constant maturation time delay and impulsive releasing for the predator can bring great effects on the dynamics of system by numerical analysis. As a result, the pest maturation time delay is considered to establish a procedure to maintain the pests at an acceptably low level in the long term. In this paper, the main feature is that we introduce time delay and pulse into the predator–prey (natural enemy-pest) model with age structure, exhibit a new modelling method which is applied to investigate impulsive delay differential equations, and give some reasonable suggestions for pest management.
20 citations
••
TL;DR: In this paper, the authors discuss the ideologies of teachers and students about using digital multimodal composing (DMC) in L2 pedagogy, and discuss the benefits of using DMC and its application in music education.
Abstract: While there has been a scholarly call for the incorporation of digital multimodal composing (DMC) in L2 pedagogy over the past decade, the ideologies of teachers and students about using DMC and th...
20 citations
••
TL;DR: The remaining enumeration conjectures posed by the inversion sequences avoiding triples of relations are addressed, leaving only those related to the OEIS sequence A098746 open.
20 citations
••
TL;DR: In this article, the combined effect of low temperature and plasma on ball milling was investigated by examining the refinement of particle size and grain size of iron powder using scanning electron microscopy, X-ray diffraction, and small angle Xray scattering.
Abstract: The cryogenic milling and milling in conjunction with dielectric barrier discharge plasma (DBDP) have been separately set up. The combined effect of low temperature and plasma on ball milling has been investigated by examining the refinement of particle size and grain size of iron powder using scanning electron microscopy, X-ray diffraction, and small angle X-ray scattering. It was found that the mean size of iron particles could reach 104nm only after 10 hours of ball milling in conjunction with DBDP, whereas a minimum average grain size of 8.4nm was obtained by cryomilling at −20°C; however, it is difficult to refine the particle size and grain size under the same milling condition in the absence of DBDP and cryogenic temperature.
20 citations
Authors
Showing all 4696 results
Name | H-index | Papers | Citations |
---|---|---|---|
Feng Wang | 107 | 1136 | 64644 |
Feng Chen | 95 | 2138 | 53881 |
Jing Feng | 54 | 476 | 11869 |
Duong D. Do | 51 | 558 | 15365 |
Yanqiang Huang | 49 | 142 | 8194 |
Quansheng Chen | 48 | 304 | 7583 |
Qingbiao Li | 43 | 254 | 7881 |
Fuwen Yang | 41 | 201 | 7371 |
Pin Nie | 40 | 226 | 5484 |
David Machin | 36 | 108 | 5647 |
Lin Xu | 32 | 72 | 3521 |
Xiaomei Chen | 32 | 76 | 3762 |
Tao Wu | 32 | 154 | 3007 |
Min-Jie Cao | 30 | 166 | 3056 |
Fuhang Song | 29 | 87 | 1941 |