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B亚型SHIV_(SF162p3)中国恒河猴小剂量多次阴道黏膜感染 被引量:3
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作者 丛喆 刘浩 +7 位作者 朵建英 王卫 蒋虹 高虹 杨志伟 sylvain fleury 魏强 秦川 《中国比较医学杂志》 CAS 2011年第2期44-48,共5页
目的模拟HIV性传播感染特点进行中国恒河猴阴道黏膜小剂量多次感染研究,为我国艾滋病疫苗有效性评价提供新的模型构建思路。方法选用20-30TCID50剂量的SHIVSF162p3病毒阴道黏膜途径感染六只成年雌性中国恒河猴,共感染13次,每次攻毒间隔4... 目的模拟HIV性传播感染特点进行中国恒河猴阴道黏膜小剂量多次感染研究,为我国艾滋病疫苗有效性评价提供新的模型构建思路。方法选用20-30TCID50剂量的SHIVSF162p3病毒阴道黏膜途径感染六只成年雌性中国恒河猴,共感染13次,每次攻毒间隔4~7 d。采取测定血浆病毒载量和外周血CD4+∶CD8+。结果 6只中国恒河猴经13次病毒攻击后,经检测均建立系统性感染,血浆病毒载量呈阳性;CD4+∶CD8+均有下降。结论成功建立了中国恒河猴阴道黏膜小剂量多次感染模型,为艾滋病研究提供了新的更接近于自然感染状态的模型建立模式。 展开更多
关键词 猴-人免疫缺陷病毒(SHIV) 模型 动物 黏膜感染
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Towards Specifications for Automatic Recognition Software:An Example of a User-Centred Design
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作者 sylvain fleury Eric Jamet +3 位作者 Emilie Loup-Escande Achraf Ghorbel Aurélie Lemaitre Eric Anquetil 《Journal of Software Engineering and Applications》 2013年第10期1-4,共4页
This article describes a user-centred method used to design innovative pattern recognition software for technical paper documents. This kind of software can make some errors of interpretation. It will therefore be imp... This article describes a user-centred method used to design innovative pattern recognition software for technical paper documents. This kind of software can make some errors of interpretation. It will therefore be important that human operators are able to identify and correct these mistakes. The identification of errors is a difficult task because operators need to establish co-reference between the initial document and it interpretation. Moreover, users must be able to checks the interpretation without forgetting any area. This task requires the interface is easy to use. The experiments showed that the sequential display of interpretation is the most effective and that the interruptions by user reduce task duration. Moreover, queries by the system may improve error detection. This paper summarizes the main results of the research conducted in the context of this design for enhance the interface, and describes the specifications to which it gave rise. 展开更多
关键词 User-Centred Design Interpretation of Document Error Detection
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