Visible images contain clear texture information and high spatial resolution but are unreliable under nighttime or ambient occlusion conditions. Infrared images can display target thermal radiation information under day, night, alternative weather, and ambient occlusion conditions. However, infrared images often lack good contour and texture information. Therefore, an increasing number of researchers are fusing visible and infrared images to obtain more information from them, which requires two completely matched images. However, it is difficult to obtain perfectly matched visible and infrared images in practice. In view of the above issues, we propose a new network model based on generative adversarial networks (GANs) to fuse unmatched infrared and visible images. Our method generates the corresponding infrared image from a visible image and fuses the two images together to obtain more information. The effectiveness of the proposed method is verified qualitatively and quantitatively through experimentation on public datasets. In addition, the generated fused images of the proposed method contain more abundant texture and thermal radiation information than other methods.
The expressed sequence tags (ESTs) of Angiostrongylus cantonensis were analyzed in an attempt to gain further insight into its genomic expression patterns. A total of 1,277 ESTs of A. cantonensis were randomly downloaded from NCBI databank. ESTs were analyzed and annotated using Blastx. The result showed that there were 60 ESTs had no match to any of the proteins and gene sequences in the published databases, and 695 ESTs score more than 80. According to the function, the identified 695 ESTs could be grouped into 13 categories related to metabolism, cellular development, immune evasion, host-parasite interactions, and so on. Among them, 65 (9.4%) were proteases and protease inhibitors, represented 19 potential proteases and protease inhibitors genes; 42 (6.0%) were allergens or antigens, represented 15 potential antigens/allergens genes. Signal P analysis was applied to the 19 putative proteases and protease inhibitors and the 15 antigens/allergens protein sequences to identify the potential signal peptides and anchors. The result demonstrated that there were ten putative proteins had N-terminal signal peptides and three had signal anchors, these putative excretory/secretory proteins might be the products of potential parasitism genes which played an important role in the adaptation of A. cantonensis to a parasitism life. These parasitism genes and proteins identified are expected to become potential targets for future research on anti-A. cantonensis drugs; moreover, the resulting genetic information is useful in elucidating the mechanisms of parasitism of A. cantonensis.
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