589 research outputs found
Image Super-Resolution Reconstruction Based on L1/2 Sparsity
Based on image sparse representation in the shearlet domain, we proposed a L1/2 sparsity regularized unconvex variation model for image super-resolution. The L1/2 regularizer term constrains the underlying image to have a sparse representation in shearlet domain. The fidelity term restricts the consistency with the measured imaged in terms of the data degradation model. Then, the variable splitting algorithm is used to break down the model into a series of constrained optimization problems which can be solved by alternating direction method of multipliers. Experimental results demonstrate the effectiveness of the proposed method, both in its visual effects and in quantitative terms
Comparative proteomic analysis reveals alterations in development and photosynthesis-related proteins in diploid and triploid rice
Six pairs of primers were designed for gene-specific transcript amplification. (DOC 25Â kb
An atlas of DNA methylomes in porcine adipose and muscle tissues
It is evident that epigenetic factors, especially DNA methylation, have essential roles in obesity development. Here, using pig as a model, we investigate the systematic association between DNA methylation and obesity. We sample eight variant adipose and two distinct skeletal muscle tissues from three pig breeds living within comparable environments but displaying distinct fat level. We generate 1,381 Gb of sequence data from 180 methylated DNA immunoprecipitation libraries, and provide a genome-wide DNA methylation map as well as a gene expression map for adipose and muscle studies. The analysis shows global similarity and difference among breeds, sexes and anatomic locations, and identifies the differentially methylated regions. The differentially methylated regions in promoters are highly associated with obesity development via expression repression of both known obesity-related genes and novel genes. This comprehensive map provides a solid basis for exploring epigenetic mechanisms of adipose deposition and muscle growth
Proteomic analysis of a toxic dinoflagellate Alexandrium catenella under different growth phases and conditions
Improving the Efficacy of Conventional Therapy by Adding Andrographolide Sulfonate in the Treatment of Severe Hand, Foot, and Mouth Disease: A Randomized Controlled Trial
Background. Herb-derived compound andrographolide sulfonate (called Xiyanping injection) recommended control measure for severe hand, foot, and mouth disease (HFMD) by the Ministry of Health (China) during the 2010 epidemic. However, there is a lack of good quality evidence directly comparing the efficacy of Andrographolide Sulfonate combination therapy with conventional therapy. Methods. 230 patients were randomly assigned to 7–10 days of Andrographolide Sulfonate 5–10 mg/Kg/day and conventional therapy, or conventional therapy alone. Results. The major complications occurred less often after Andrographolide Sulfonate (2.6% versus 12.1%; risk difference [RD], 0.94; 95% CI, 0.28–1.61; P=0.006). Median fever clearance times were 96 hours (CI, 80 to 126) for conventional therapy recipients and 48 hours (CI, 36 to 54) for Andrographolide Sulfonate combination-treated patients (χ2=16.57, P<0.001). The two groups did not differ in terms of HFMD-cause mortality (P=1.00) and duration of hospitalization (P=0.70). There was one death in conventional therapy group. No important adverse event was found in Andrographolide Sulfonate combination therapy group. Conclusions. The addition of Andrographolide Sulfonate to conventional therapy reduced the occurrence of major complications, fever clearance time, and the healing time of typical skin or oral mucosa lesions in children with severe HFMD
MOF derived graphitic carbon nitride/oxygen vacancies-rich zinc oxide nanocomposites with enhanced supercapacitive performance
Supercapacitors with high power density and durability have shown enormous potential for smart electronics. Herein, a novel graphitic carbon nitride (g-C3N4) coated with oxygen vacancies-rich ZnO (OZCN) nanocomposites was prepared from zeolitic imidazolate framework precursor by direct thermal decomposition melamine in air. The as-prepared OZCN nanocomposites exhibited high capacitive performance (3,000 F g-1 at 3 A g-1) and excellent cycling stability due to the synergetic effect of g-C3N4 and oxygen vacancies-rich ZnO. Additionally, the assembled asymmetric supercapacitor displayed an energy density of 100.9 Wh kg-1, while the capacitance retention remained at 86.2% even after 1,000 cycles at 7 A g-1. This study is highlighting a new way for designing metal oxide electrode possessing excellent electronic properties for durable and low-cost energy storage devices.acceptedVersionThis is a post-peer-review, pre-copyedit version of an article. Locked until 13/6-2021 due to copyright restrictions. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11581-020-03597-
Image Super-Resolution Reconstruction Based On L1/2 Sparsity
Based on image sparse representation in the shearlet domain, we proposed a L1/2 sparsity regularized unconvex variation model for image super-resolution. The L1/2 regularizer term constrains the underlying image to have a sparse representation in shearlet domain. The fidelity term restricts the consistency with the measured imaged in terms of the data degradation model. Then, the variable splitting algorithm is used to break down the model into a series of constrained optimization problems which can be solved by alternating direction method of multipliers. Experimental results demonstrate the effectiveness of the proposed method, both in its visual effects and in quantitative terms
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