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Li S.,Southwest University | Wei H.,Southwest University | Ni X.-L.,State Key Laboratory of Seedling Bioengineering | Gu Y.-W.,Southwest University | Li C.-X.,Southwest University
Chinese Journal of Applied Ecology | Year: 2014

As one of the key indicators of the urbanization and the sustainable development of cities, urban human settlement quality has been a hot issue. In this paper, an evaluation system containing indicators related to four aspects (ecological, social, humanities and economic environments) was established to assess the urban human settlement quality in five main cities in Ningxia Hui Autonomous Region, Northwest China. After calculating each indicator's weight in the evaluation system through AHP and the entropy method, the quality of urban human settlement was analyzed. Results showed that Yinchuan had a score of 0.85 for the quality of human settlement, Shizuishan 0.62, Wuzhong 0.43, Zhongwei 0.33, and Guyuan 0.32, respectively. Shizuishan got the highest score in the eco-environment aspect, and Yinchuan had the highest scores for social, humanities and economic environments. Zhongwei and Guyuan had relatively low scores in all the four urban human settlement aspects. Coordination analysis showed that internal coordination was mode-rate for Yinchuan (0.79) and Shizuishan (0.72), and relatively good for the other cities. However, coordination was relatively poor among the five cities, especially in social environment (0.48). These results suggested that an unsatisfied situation existed in terms of the urban human settlement quality in Ningxia, and that corresponding measures should be taken to accelerate the development of vulnerable indicators, so as to coordinate all the urban human settlement aspects with-in and among cities. Source

Ji W.,State Key Laboratory of Seedling Bioengineering | Li J.,State Key Laboratory of Seedling Bioengineering | Liu J.,State Key Laboratory of Seedling Bioengineering
Journal of Molecular Diagnostics | Year: 2012

Various human diseases are caused by gene copy number variants, underlining the importance of determining disease gene copy number for clinical diagnostics. In this study, we describe a method for determining gene copy number in a biological organism. In this method, both a target gene and an internal control gene were amplified from the organism by regular PCR. The PCR products were purified and quantified, and the target and internal control genes were mixed at different molar ratios. Real-time PCR was then used to measure the quantification cycle (Cq) values of both the target and internal control genes in the mixtures. A standard curve was constructed to correlate the differences between the Cq values and the logarithmic ratios of the target gene to the internal control gene. Real-time PCR was then used to measure the Cq values of both the target and internal control genes in experimental samples; the copy number of the target gene in the sample can be calculated readily from the calculated standard curve. This method was validated by a set of internal control genes and a foreign gene in transgenic alfalfa, demonstrating the utility of this method in the determination of gene copy number for various applications. © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology. Source

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