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BACKGROUND Porcine circovirus type 2 (PCV2) is considered to be the primary causative agent of postweaning multisystemic wasting syndrome (PMWS), which has become a serious economic problem for the swine industry worldwide. The major genotypes, PCV2a and PCV2b, are highly prevalent in the pig population and are present worldwide. However, another newly(More)
In this study, the quinolone-resistant determining region (QRDR) of gyrA of Escherichia coli and plasmid-mediated quinolone resistance (PMQR) genes, qnr(qnrA, qnrB, and qnrS), and aac(6 ')-Ib-cr were detected, sequenced, and analyzed. In addition, antimicrobial susceptibility tests (using the Kirby-Bauer disc diffusion method) were performed for all 111 E.(More)
Porcine circovirus type 2 (PCV2) is a major causal agent of post-weaning multisystemic wasting syndrome in piglets. To investigate the feasibility of PCV2 expressing an exogenous epitope, a 14-amino-acid V5 epitope derived from simian parainfluenza virus type 5, was inserted into the C terminus of the capsid protein. Recombinant PCV2 expressing the V5(More)
Porcine circovirus type 2 (PCV2) is the etiological agent of postweaning multisystemic wasting syndrome, a disease that causes huge economic damage in swine industry. A recombinant PCV2 expressing the neutralizing VP1 epitope (aa 141–160) of the foot-and-mouth disease virus (FMDV) was rescued using an infectious cloning technique. The PCV2 antigen and(More)
Due to the high cost and physical limitations of the high precision image sensors, it is not easy to directly obtain the desired high resolution (HR) images from sensors in many cases. A new iterative super-resolution (SR) algorithm based on projection onto convex sets (POCS) model is proposed. In this method, a new algorithm is adopted to estimate subpixel(More)
—A method for efficiently successive cancellation (SC) decoding of polar codes with high-dimensional linear binary kernels (HDBK) is presented and analyzed. We devise a l-expressions method which can obtain simplified recursive formulas of SC decoder in likelihood ratio form for arbitrary linear binary kernels to reduce the complexity of corresponding SC(More)
It is well known that the commonly used separable extensions of one-dimensional transforms, such as the wavelet transform, have limitations in capturing the geometry of image edges. But natural scene images always have geographic lines, such as textures, edges which can not be well reconstructed when compressed by using one-dimensional transform. So in(More)
Bacillus subtilis BSD-2, isolated from cotton (Gossypium spp.), had strong antagonistic activity to Verticillium dahlia Kleb and Botrytis cinerea. We sequenced and annotated the BSD-2 complete genome to help us the better use of this strain, which has surfactin, bacilysin, bacillibactin, subtilosin A, Tas A and a potential class IV lanthipeptide(More)
In this letter, a no-reference (NR) hybrid image quality assessment (IQA) metric based on cartoon-texture decomposition (CTD) is presented. Focusing on images distorted by both blur and noise, the method takes properties of CTD to separate image into cartoon part with salient edges and texture part with noises. Then, the blur degree and noise level can be(More)
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