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New record of Chalastospora gossypii from cold arid soil of the most isolated region in trans-Himalayas
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作者 Nonzom S Sumbali G 《Studies in Fungi》 2018年第1期343-348,共6页
A psychrotolerant hyphomycete Chalastospora gossypii was recovered from cold arid soil of Zanskar valley(3,500 msl),which is the most isolated region located in the trans-Himalayas that presents extreme environmental ... A psychrotolerant hyphomycete Chalastospora gossypii was recovered from cold arid soil of Zanskar valley(3,500 msl),which is the most isolated region located in the trans-Himalayas that presents extreme environmental challenges for biotic system including microfungi.Complete description and illustration of the fungus based on morphology and rRNA gene sequences in ITS regions are provided.The report represents a new record in Indian sub-continent and reflects the ability of the reported fungus to thrive in extreme habitats of Indian sub-continent thus representing a new addition to cold desert as well as Indian mycoflora. 展开更多
关键词 Chalastospora gossypii INDIA new record taxonomic description
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Heuristics based semantic annotation of biodiversity documents in Chinese
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作者 Yufeng DUAN Zhenzhen HEI +1 位作者 Fei JU Hong CUI 《Chinese Journal of Library and Information Science》 2013年第2期33-46,共14页
Purpose: To design an efficient high-performance algorithm for semantic annotation of biodiversity documents in Chinese.Design/methodology/approach: Data set consists of 1,000 randomly selected documents from Flora of... Purpose: To design an efficient high-performance algorithm for semantic annotation of biodiversity documents in Chinese.Design/methodology/approach: Data set consists of 1,000 randomly selected documents from Flora of China. Comparative evaluation of the proposed approach with the Na ve Bayes algorithm have been developed before for the same purpose.Findings: Experimental results show that the heuristics based algorithm outperformed the Na ve Bayes algorithm. The use of leading words helped improving the annotation performance while prioritizing rule application based on their weights had no significant impact on algorithm performance.Research limitations: The ICTCLAS was used to identify word boundaries off-shelf without optimatization for biodiversity domain. This may have not made the best use of the tool.Practical implications & Originality/value: The performance of heuristics based approach,enhanced by leading words analysis, reached an F value of 0.9216, which is sufficiently accurate for practical use. 展开更多
关键词 Heuritistics based method Leading word analysis taxonomic descriptions Semantic annotation
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