MicroRNAs (miRNAs) are non-coding RNAs of approximately 20–24 nucleotides in length that serve as central regulators of eukaryotic gene expression by targeting mRNAs for cleavage or translational repression. In plants, miRNAs are associated with numerous regulatory pathways in growth and development processes, and defensive responses in plant–pathogen interactions. Recently, significant progress has been made in understanding miRNA-mediated gene silencing and how viruses counter this defense mechanism. Here, we summarize the current knowledge and recent advances in understanding the roles of miRNAs involved in the plant defense against viruses and viral counter-defense. We also document the application of miRNAs in plant antiviral defense. This review discusses the current understanding of the mechanisms of miRNA-mediated gene silencing and provides insights on the never-ending arms race between plants and viruses.

This paper presents an improved preview follower, electric vehicle intelligent driver model of steering control strategy. And from the preview following the model proposed steering control method, and the preview follower algorithm, propose a new preview search algorithm, in order to ensure the preview points fall within the expected path, avoid the path curvature caused by excessive electric cars from the path. In addition, by considering the steady state response, to improve the precision of steering control strategy. Use of the multi domain modeling software Dipolar, combined with the electric vehicle dynamic model, the path model of the steering control strategy simulation. The simulation results show that the strategy is applied to electric vehicle path goal good tracking accuracy.

Virtual test system based on software as the core of intelligent system based on computer technology. In LabNIEW environment are introduced, on the auto electric power steering, car trouble related performance was tested. Car trouble vary widely, the characteristics of the dynamic and uncertainty, in view of the present automobile fault detection of real-time detection of the existence of difference, the data is not convenient to undertake unity management problems, this paper used the GPS, GPRS and CAN bus technologies, design a set of automatic control system. With the development of era, the existing Petri net reasoning algorithm cannot have satisfied nowadays car diagnostic technology, aiming at this situation, this paper proposes a modified algorithm, with fuzzy reasoning algorithm of Petri net optimization, finally, the fault diagnosis. According to diagnosis, combining wavelet analysis and the principle of artificial immune system, put forward a kind of based on wavelet transform and the fault diagnosis system of the immune system. According to the characteristics of the wavelet analysis, it is used to analyze the unstable signal, signal feature vector as raw data, using the improved negative selection algorithm for himself - he analysis the original data.

This paper is aimed to establish to car networking as the foundation, a new traffic information service system in large data environment, the system is built based on vehicle network, meaning lies in providing the expressway traffic safety early-warning information services, further improve the quality of service of freeway traffic warning information and intelligence level. In this system, also conducted a small scale experimental validation, test showed that the effect of new application of traffic information service system is good. The system helps to ensure transportation safety and efficient operation for car, Internet users more traffic information service of intelligent and personalized.