39 research outputs found

    sj-docx-1-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients

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    Supplemental material, sj-docx-1-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p

    sj-docx-2-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients

    No full text
    Supplemental material, sj-docx-2-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p

    sj-docx-3-ict-10.1177_15347354221105485 – Supplemental material for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients

    No full text
    Supplemental material, sj-docx-3-ict-10.1177_15347354221105485 for Milk and Egg Are Risk Factors for Adverse Effects of Capecitabine-Based Chemotherapy in Chinese Colorectal Cancer Patients by Jinrong Xu, Zeshuai Lin, Jiani Chen, Jian Zhang, Wanqing Li, Rui Zhang, Jin Xing, Zhihuan Ye, Xiaoping Liu, Qianmin Gao, Xintao Chen, Jingwen Zhai, Houshan Yao, Mingming Li and Hua Wei in Integrative Cancer Therapies</p

    User acceptance of hedonic information systems : a research model and empirical test

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    This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field

    An effective approach based on rough set and topic cluster to build peer communities

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    A peer community is composed of a number of peers who share files about the same topic in the file sharing P2P applications. Building peer communities can benefit content location and retrieval in P2P systems. We propose an effective approach based on rough set and topic cluster to build peer communities. Firstly, we compute one of the best reduced sets of all the same type files, such as the video files, with files&apos; attributes in a peer. Secondly, topic clusters of a peer are calculated, which represent the interests of it. Finally, we build peer communities using the super peer technique. Experiments performed oil the real data sets prove that our approach is effective. Experimental results verify that our approach works much better compared with that of previous approaches.Computer Science, Hardware &amp; ArchitectureComputer Science, Theory &amp; MethodsCPCI-S(ISTP)
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