We demonstrated that immune responses induced by FAGP reduced the growth, development, and reproduction of A. cantonensis in subsequent infections. While the possibility of using FAGP combining with MA or FA antigens as a multi-function vaccine in immune protection against A. cantonensis needs to be further elucidated, we hope that it provides a novel strategy for this parasite vaccine development.
In this paper, we propose a new approach to accelerate the pocketing tool-path generation by using graphic hardware (graphic processing units, GPU). The intersections among tool-path elements can be eliminated with higher efficiency from GPU-based Voronoi diagrams. According to our experimental results, the GPU-based computation speed was seven to eight times faster than that of CPU-based computation. In addition, the difference of tool-path geometry between the CPU-based and GPU-based methods was insignificant. Therefore, the GPU-method can be efficiently used to accelerate the computation while the precision is assured for the tool-path generation in pocketing machining.
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