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A novel method for inputting embroidery images is presented. The method can convert BMP image format to DXF graphics format automatically. Firstly, the embroidery image is captured by a scanner; secondly, the image will be converted to a graphics by means of image processing and multinomial fitting algorithm; finally, a special graphics file will be created to be the DXF graphics format. Test results using this method showed that the algorithm achieved a good quality and improved the efficiency of inputs greatly.

Au nanodots decorated Cu2O nanooctahedrons were fabricated by a facile liquid-phase process combined with a galvanic replacement reaction for nonenzyme glucose detection. A simple rapid test strip based on the nanooctahedrons was proposed to evaluate the possibility of commercial application in nonenzymatic glucose detection. This test strip shows excellent response toward glucose. Linear response was obtained over a concentration ranging from 0.05 mM to 15 mM, and the detection accuracy is 0.05 mM. The good detection performance in selectivity, stability, and feasibility proving the great potential application in human blood glucose monitoring. This study demonstrated the possibility of a high-performance nonenzyme glucose test strip based on metal-oxide nanostructures decorated by catalysts.

The decoupling of microbial functional and taxonomic components refers to the phenomenon that a drastic change in microbial taxonomic composition leads to no or only a gentle change in functional composition. Although many studies have identified this phenomenon, the mechanisms underlying it are still unclear. Here we demonstrate, using metagenomics data from a steppe grassland soil under different grazing and phosphorus addition treatments, that there is no “decoupling” in the variation of taxonomic and metabolic functional composition of the microbial community within functional groups at species level. In contrast, the high consistency and complementarity between the abundance and functional gene diversity of two dominant species made metabolic functions unaffected by grazing and phosphorus addition. This complementarity between the two dominant species shapes a bistability pattern that differs from functional redundancy in that only two species cannot form observable redundancy in a large microbial community. In other words, the “monopoly” of metabolic functions by the two most abundant species leads to the disappearance of functional redundancy. Our findings imply that for soil microbial communities, the impact of species identity on metabolic functions is much greater than that of species diversity, and it is more important to monitor the dynamics of key dominant microorganisms for accurately predicting the changes in the metabolic functions of the ecosystems.

With regard to the weakness and shortage of traditional moving object segmentation method, this paper presents an effective segmentation method for moving objects in video surveillance. The difference image of color distance which is between current image and the reference background image in RGB color space is first obtained. According to the mono-modal feature of histogram of the difference image, an adaptive clustering segmentation method based on histogram is proposed. The morphology filtering is employed to remove the noise existing in the segmented binary image. An updating scheme for background image is introduced to follow the variation of illumination conditions and changes in environmental conditions. In order to remove unwanted shadows of moving regions, an efficient multi-object shadows distinguishing and eliminating method for surveillance scene was presented in this paper. Experimental results show that the proposed method is simple and effective for moving object segmentation and eliminating shadows.