RESUMEN
This paper proposes two spatio-temporal epidemic network models based on popularity and similarity optimization (PSO), called r-SI and r-SIS, respectively, in which new connections take both popularity and similarity into account. In the spatial dimension, the epidemic process is described by the diffusion equation; in the time dimension, the growth of an epidemic is described by the logistic map. Both models are represented by partial differential equations, and can be easily solved. Simulations are performed on both artificial and real networks, demonstrating the effectiveness of the two models.
Asunto(s)
Simulación por Computador , Epidemias , Modelos Biológicos , Redes Neurales de la Computación , HumanosRESUMEN
Computer-aided surgical navigation system, which is a combination of computer technology and medical imaging, is one of the most popular and developing fields in recent years. The navigation system is aimed to improve the accuracy and security of the surgery by pre-operative planning, intra-operative navigation and post-operative evaluation. This paper introduces the essential elements, fundamental principles, and implementation steps of the navigation system; further reviews its usefulness and progress in orbital fractures reduction, orbital tumor surgery and orbital decompression.