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Many important problems in engineering and science are well-modeled by Poisson noise,the noise of medical X-ray image is Poisson noise. In this paper, we propose a method of noise removal for degraded medical X-ray image using improved preprocessing and improved BayesShrink (IBS) method in wavelet domain. Firstly, we pre-process the medical X-ray image, Secondly, we apply the Daubechies (db) wavelet transform to medical X-ray image to acquire scaling and wavelet coefficients.Thirdly,we apply the proposed IBS method to process wavelet coefficients. Finally, we compute the inverse wavelet transform for the thresholded coefficeints. System flow chart in this paper is shown in Fig. 1. Noisy image and the result of the proposed method in this paper are shown in Fig. 2. The PSNR of conventional methods and the proposed method is shown in Table 1.Experimental results show that the proposed method always outperforms traditional methods.

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Stimulated Raman scattering (SRS) spectra of the OH stretching vibrations of pure water and 2‐nm Si quantum dots (Si QDs) water solution have been investigated under different pump laser energies. Simultaneously, we have studied the spontaneous Raman spectra of pure water and Si QDs water solution at room temperature and atmospheric pressure. The results show that SRS intensity of Si QDs water solution is an order of magnitude higher than that of pure water at the same laser energy, which indicates that Si QDs enhance the SRS intensity of water molecules. The QDs enhancement SRS mechanism is attributed to the increase of third‐order nonlinear Raman susceptibility from the electric fields induced by the exciton effect of Si QDs.

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Canine kobuvirus (CaKoV), a newly described virus, is the causative agent of gastroenteritis in dogs. In this study, 57 fecal samples from dogs with diarrhea in Anhui Province, eastern China, were collected. Among these, five samples were identified to be infected with CaKoV, by polymerase chain reaction targeting the CaKoV 3D gene. The five CaKoV strains were subjected to phylogenetic analysis. The sequences of VP1 from the five CaKoV strains were 93.6%-96.1% identical to each other and 91.75%-97.95% identical to other reported CaKoV VP1 sequences. In addition, the complete genome of one strain was successfully amplified and sequenced. The genome consisted of 8223 nucleotides and shared 94.6%-97.0% nucleotide and 93.1%-94.0% amino acid sequence identity with other CaKoV isolates. Phylogenetic analysis revealed that the CaKoV strain from Anhui Province was similar to other Chinese strains, and it was more closely related to feline and mouse kobuviruses than to sheep and bovine kobuviruses. Interestingly, all of the CaKoV-positive samples were coinfected with canine parvovirus. The finding of CaKoV infection in dogs with diarrhea and coinfection with canine parvovirus are a cause for concern and highlight the need for management and preventive measures.

The similar clinical characteristics of canine circovirus (CaCV) and canine astrovirus (CaAstV) infections and high frequency of co-infection make diagnosis difficult. In this study, a duplex SYBR Green I-based real-time polymerase chain reaction (PCR) assay was established for the rapid, simultaneous detection of CaCV and CaAstV. Two pairs of specific primers were designed based on the Rep gene of CaCV and the Cap gene of CaAstV. By using the real-time PCR assay method, the two viruses can be distinguished by the difference in melting temperatures, 79 °C and 86 °C for CaCV and CaAstV, respectively. This assay had high specificity, showing no cross-reaction with other common canine viruses, as well as high sensitivity, with minimum detection limits of 9.25 × 10 1 copies/μL and 6.15 × 10 1 copies/μL for CaCV and CaAstV, respectively. Based on the mean coefficient of variation, the method had good reproducibility and reliability. In a clinical test of 57 fecal samples, the rates of positive detection by real-time PCR were 14.04% (8/57) and 12.28% (7/57) for CaCV and CaAstV, respectively, and the rate of co-infection was 8.77% (5/57). In conclusion, the newly established duplex SYBR Green I-based real-time PCR assay is sensitive, specific, reliable, and rapid and is an effective tool for the detection of co-infections with CaCV and CaAstV.

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