Jing Yi

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BACKGROUND Soybean, Glycine max (L.) Merr., is a well documented paleopolyploid. What remains relatively under characterized is the level of sequence identity in retained homeologous regions of the genome. Recently, the Department of Energy Joint Genome Institute and United States Department of Agriculture jointly announced the sequencing of the soybean(More)
With the introduction of massively parallel, microminiature-based instrumentation for DNA sequencing, robust, reproducible, optimized methods are needed to prepare the target DNA for their analysis using these high-throughput approaches because the cost per instrument run is orders of magnitude more expensive than for typical Sanger dideoxynucleotide(More)
Keywords: Surface area estimation Digital geometry Cauchy–Crofton formula Quasi-Monte Carlo methods Low-discrepancy sequences a b s t r a c t A novel and efficient quasi-Monte Carlo method for estimating the surface area of digitized 3D objects in the volumetric representation is presented. It operates directly on the original digitized objects without any(More)
In order to obtain the diversity and temporal–spatial distribution of Bacillus community during the swine manure composting, we utilized traditional culture methods and the modern molecular biology techniques of polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) and –denaturing gradient gel electrophoresis (PCR-DGGE). Bacillus(More)
The temporal and spatial distribution of the genus Bacillus and Clostridium histolyticum group in swine manure composting was determined by fluorescent in situ hybridization using fluorescently labeled 16S rRNA-targeted oligonucleotide probes LGC353b and Chis150, respectively. The temporal distribution of total bacteria, Bacillus and C. histolyticum,(More)
For the shortcoming of fuzzy c-means algorithm (FCM) needing to know the number of clusters in advance, this paper proposed a new self-adaptive method to determine the optimal number of clusters. Firstly, a density-based algorithm was put forward. The algorithm, according to the characteristics of the dataset, automatically determined the possible maximum(More)
We describe our methods for share task of personal attributes extraction. We divide all 25 attributes into several categories and propose 4 kinds of pipelines to carry out value extraction. There are two stages in the process. The first stage uses CRF model or regular expression based extractor to produce initial answers. In the second stage, we propose two(More)
Although the phenomenon that strictly meets the constant dimension fractal form in the nature does not exist, fractal theory provides a new way and means for the study of complex natural phenomena. Therefore, we use some variable dimension fractal analysis methods to study river flow discharge. On the basis of the flood flow corresponding to the waterline(More)
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