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3篇 您的检索式:作者名="Bofei Cheng"
    题名 作者 年代 出处 被引量
1A printable graphene enhanced composite counter e- lectrode for flexible dye - sensitized solar cells 显示文摘Yong Peng Jie Zhong Kun Wang Bofei Xue Yi - Bing Cheng 2013Nano Energy2013,2,:1
2Two tandem multicomponent reactions for the synthesis of sequence-defined polymers显示文摘Multicomponent polymerizations have become powerful tools for the construction of sequence-defined polymers. Although the Passerini multicomponent reaction has been widely used in the synthesis of sequence-defined polymers, the tandem usage of the Passerini multicomponent reaction and other multicomponent reactions in one-pot for the synthesis of sequence-defined polymers has not been developed until now. In this contribution, we report the tandem usage of the Passerini three-component reaction and the three-component amine-thiol-ene conjugation reaction in one pot for the synthesis of sequence-defined polymers. The Passerini reaction between methacrylic acid, adipaldehyde, and 2-isocyanobutanoate was carried out, affording a new molecule containing two alkene units. Subsequently, an amine and a thiolactone were added to the reaction system, whereupon the three-component amine-thiol-ene conjugating reaction occurred to yield a sequence-defined polymer. This method offers more rapid access to sequence-defined polymers with high molecular diversity and complexity.Lu Yang Ze Zhang Bofei Cheng Yezi You Decheng Wu Chunyan Hong 2015Science China Chemistry2015,58,11:0
3A Method for Predicting Service Deprecation in Service Systems显示文摘An increasing number of web services are being invoked by users to create user applications(e.g.,mashups). However, over time, a few good services in service systems have become deprecated, i.e., the service is initially available and is invoked by service users, but later becomes unavailable. Therefore, the prediction of service deprecation has become a key issue in creating reliable long-term user applications. Most existing research has overlooked service deprecation in service systems and has failed to consider long-term service reliability when making service recommendations. In this paper, we propose a method for predicting service deprecation, which comprises two components: Service Comprehensive Feature Modeling(SCFM) for extracting service features relevant to service deprecation and Deprecated Service Prediction(DSP) for building a service deprecation prediction model. Our experimental results on a real-world dataset demonstrate that our method yields an improved Area-Under-the-Curve(AUC) value over existing methods and thus has better accuracy in service deprecation prediction.Bofei Xia Yushun Fan Cheng Wu Bing Bai Junqi Zhang 2017Tsinghua Science and Technology2017,22,1:0
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