Style transfer is using a pair of content and style images to synthesize a stylized image which has both the structure of the content image and the style of style image. Existing optimization-based methods are limited in their performance. Some works using a feed-forward network allow arbitrary style transfer but cannot reflect the style. In this paper, we present a fast continuous structural similarity patch based arbitrary style transfer. Firstly, we introduce the structural similarity index (SSIM) to compute the similarity between all of the content and style patches for obtaining their similarity. Then a local style patch choosing procedure is applied to maximize the utilization of all style patches and make the swapped style patch continuous matching with respect to the spatial location of style at the same time. Finally, we apply an efficient trained feed-forward inverse network to obtain the final stylized image. We use more than 80,000 natural images and 120,000 style images to train that feed-forward inverse network. The results show that our method is able to transfer arbitrary style with consistency, and the result comparison stage is made to show the effectiveness and high-quality of our stylized images.

Background Staphylococcus aureus infection of livestock animals and humans is a major public health issue. There are reports of antimicrobial resistance and multiple staphylococcal superantigen genes in many countries and several provinces of China, but the status in Chongqing, China is uncertain. Objectives The aim of this study was to determine the prevalence, antimicrobial susceptibility, and other molecular characteristics of S. aureus isolates from livestock animals in Chongqing. Methods Staphylococcus aureus was isolated and identified by selective enrichment and amplification of the nuc gene from 1371 samples collected at farms in Chongqing. The agar dilution method was used to determine the resistant phenotype, and extended spectrum β‐lactamase genes were amplified by PCR. Methicillin‐resistant S. aureus was verified by the presence of the mecA gene, and the presence or absence of SE, SEl, and TSST‐1 genes was detected in the isolates. Results We cultured 89 S. aureus isolates from 1371 samples between March 2014 and December 2017. These isolates were from pigs, cattle, goats, rabbits, and chickens. There were four methicillin‐resistant S. aureus strains (three from pigs and one from a chicken). The 89 isolates had high resistance to penicillin (93.3%) and ampicillin (92.1%), but most were susceptible to amikacin and ofloxacin, with resistance rates below 10%. A total of 62.9% of the isolates had varying degrees of multidrug resistance. Almost all strains, except for three isolates from chickens, were positive for bla TEM‐1a . There were 19 of 20 tested staphylococcal SE/SEl/TSST‐1 genes present (all except for seq ), and the predominant genes were sei (58.4%), tst‐1 (56.2%), and seg (51.7%). Conclusions The high antimicrobial resistance and prevalence of bla TEM‐1a reinforce the need to reduce the usage of antimicrobials in livestock. The universal existence of staphylococcal toxin genes implies a potential threat to public health by animal‐to‐human transmission via the food chain.

Autophagy is an important conserved homeostatic process related to nutrient and energy deficiency and organelle damage in diverse eukaryotic cells and has been reported to play an important role in cellular responses to pathogens and bacterial replication. The respiratory bacterium Mycoplasma hyopneumoniae has been identified to enter porcine alveolar macrophages, which are considered important immune cells. However, little is known about the role of autophagy in the pathogenesis of M. hyopneumoniae infection of porcine alveolar macrophages. Our experiments demonstrated that M. hyopneumoniae infection enhanced the formation of autophagosomes in porcine alveolar macrophages but prevented the fusion of autophagosomes with lysosomes, thereby blocking autophagic flux and preventing the acidification and destruction of M. hyopneumoniae in low-pH surroundings. In addition, using different autophagy regulators to intervene in the autophagy process, we found that incomplete autophagy promoted the intracellular proliferation of M. hyopneumoniae. We also found that blocking the phosphorylation of JNK and Akt downregulated the autophagy induced by M. hyopneumoniae, but pathways related to two mitogen-activated protein kinases (Erk1/2 and p38) did not affect the process. Collectively, M. hyopneumoniae induced incomplete autophagy in porcine alveolar macrophages through the JNK and Akt signalling pathways; conversely, incomplete autophagy prevented M. hyopneumoniae from entering and degrading lysosomes to realize the proliferation of M. hyopneumoniae in porcine alveolar macrophages. These findings raise the possibility that targeting the autophagic pathway may be effective for the prevention or treatment of M. hyopneumoniae infection.

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Advanced Chinese ink painting also includes work-brush flower and bird paintings with brilliant colors, in contrast to traditional ink paintings that often only use water, ink, and black and white. This serves as the foundation for our investigation into a generalized transfer problem involving ink and wash, or an ink painting coloring problem. Our goal is to automatically colorize black and white ink paintings using deep neural networks. This study can serve as a guide for coloring ink paintings and broaden the range of applications for ink painting style transfer. The high-level semantic information and low-level local features of ink paintings cannot be successfully extracted using the current generalized style transfer approach (colorization algorithm). The resulting images have muddy borders and low color saturation. In order to improve the accuracy and coherence of the coloring of ink paintings, we build training by combining the global and local features of ink paintings with the achievements of generative adversarial networks already made in the field of colorization. Comparative and objective evaluations of the experimental portion are made using metrics like peak signal-to-noise ratio (PSNR), structural similarity (SSIM), colorfulness, and user studies. Additionally, our approach beats the previous comparison approaches in terms of creative expression, color richness, and color overflow management.