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Articles by Li Yan
Total Records ( 5 ) for Li Yan
  Li Yan , Junsheng Li and Wei Gao
  Classification algorithm is classical learning problem in computer science. Hypergraph, as a knowledge representation model, has widely used in finance, biology and information science. In this study, we extend some graph vertex classification analysis results to hypergraph. Specifically, we use the cut size of the classification to derive data-dependent bounds on the fraction of mistaken predictions for hypergraph vertex classification algorithm.
  Zhou Yuxiang , Luo Hailing , Wang Jie , Ji Shuai , Hou Pengxia and Li Yan
  The basic nutrient components, flavor amino acids, fatty acid and minerals contained in Glycyrrhiza were analyzed and studied the effects on meat quality of Tan sheep through animal experiments. The results showed that Glycyrrhiza had a high levels of nutrients. It was a kind of roughage that can supply nutritions for the animals’ demand as the basic nutrition composition. The EAA/TAA of Glycyrrhiza was 43.15% which showed high quality of protein but the content of α-linolenic acid was lower, palmitic acid and total fatty acids were similar with alfalfa which was called as the king of pasture grass.
  Zhang Xiaotian , Zhao Kai and Li Yan
  Consumer psychology and behavioral factors on consumer behavior has important implications, this study from the telecommunications user's psychological and behavioral factors departure studied telecommunications users of its psychological and behavioral factors that influence consumer behavior relationship and thus which gives the telecom industry marketing strategies. Studies that the consumer psychology and behavioral factors such as income, occupation, brand recognition and consumer consumption patterns, etc., the impact of consumer willingness relationship. In this study, the development of the telecommunications industry marketing strategy has certain guiding significance.
  Li Yan , Wei Gao and JunSheng Li
  As the extension of Gao et al. (2013), we present the partitioning scheme made of dyadic cubes, the approximation result is thereby obtained concern such partitioning. It is highlighted in this study that AUC criterion multi-dividing ontology algorithm with tree ontology structure and specific split rule has good statistic characteristics, and show that the algorithm under these partitioning schemes are convergent.
  LI Yan , CHEN Ying-Long , LI Min , LIN Xian-Gui and LIU Run-Jin
  A pot experiment was performed to determine the effects of arbuscular mycorrhizal fungi (AMF) communities on soil properties and the growth of cucumber seedlings in a degraded soil that had been used for continuous cucumber monoculture in a greenhouse for 15 years. In the experiment, AMF communities (created by combining various AMF species that were found to be dominant in natural farm soil) were inoculated into the degraded soil, and then the soil was planted with cucumber. Inoculation with AMF communities did not affect soil pH but increased soil aggregate stability and decreased the concentrations of salt ions and electrical conductivity (EC) in the soil. Inoculation with AMF communities increased the numbers of culturable bacteria and actinomycetes but reduced the number of fungi. AMF communities increased plant growth, soluble sugar content, chlorophyll content, and root activity compared to non-mycorrhizal or a single AMF species treatments. Improvements of soil quality and plant growth were greatest with the following two communities: Glomus etunicatum + G. mosseae + Gigaspora margarita + Acaulospora lacunosa and G. aggregatum + G. etunicatum + G. mosseae + G. versiforme + G. margarita + A. lacunosa. The results suggested that certain AMF communities could substantially improve the quality of degraded soil.
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