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[SCI技巧]SCI结论部分书写技巧分享

来源:职称论文咨询网 作者:职称论文咨询网小编时间:2022-07-29

  Sci论文中每一部分都是非常重要的,有很多作者不知道怎样写sci的结论(Conclusion),总之将这部分内容与结果(Result)混淆。为此在这说一说SCI结论部分书写技巧

[SCI技巧]SCI结论部分书写技巧分享

  Sci论文中的结论部分几乎到了文章的结尾了,在最后关头也不能有一丝丝的松懈,结论部分虽然在整篇文章所占的比重不大,但也是非常重要的。可以说sci论文的结论是对研究结果的进一步理解,要说明研究的重要观点和结论,万万不能将正文中提到的结果和观点复制到此处。要表明该篇sci论文发现的问题对读者、审稿人意味着什么。首先是让审稿人对你的结论部分有深刻的印象。

  Sci论文中Conclusion部分要有的主要内容有:

  1、 简短总结

  用简洁有力的语言概述基本工作观点、事实、数据和信息,反映出研究成果的价值。常用的句式有:

  In this work, we have proposed a method that analyzes traffic patterns and detect irregular events.

  This paper proposes a framework for mining inter transaction association rules over ocean science data to find salinity/temperature patterns.

  2、 解释结论

  简要说明本研究工作的论点和结论该内容要与Introduction中的内容及所承诺的研究目标保持一致性。常用的句式有:

  To the best of our knowledge, temporal mining techniques have not been used for event recognition in dynamic scenes. We first discover frequent temporal patterns and use Allen's temporal relations for representation.

  For this purpose, we used spatial-temporal association rules and multi-level directed graphs, which have proven to be a promising choice for this kind of task. We developed methods and algorithms for the analysis and mining of multi-level directed graphs.

  3、 未来展望

  如果sci论文中的结论部分有展望和建议,一定要遵循前面所提到的数据和结论,让这部分内容更合乎逻辑,为不是为了写而写凑字数。常用的句式有:

  Future work includes investigating whether a fuzzy event identification method can be used to enhance the mining efficiency.

  Future work includes investigating whether a fuzzy event identification method can be used to enhance the mining efficiency.

  4、 逻辑一致

  Sci论文讨论部分一定要承上启下具有连贯性,一定不要自相矛盾,也不要从sci论文中前面部分复制内容到结论中,会给人不好的印象。例如以下这个前后呼应的好实例:

  1 Introduction…Implicit spatial information in medical images is highly critical for interpretation of the image, and association rules mined from medical images will aid us in concluding to an interesting spatial relationship existing between the structures existing in images.…

  4 ConclusionIn this paper, the concept of fuzzy spatial relationship and association rule mining is extended to medical images. As per the design of the system, the medical image is segmented to identify the anatomical structures as well as the spatial location.

  注意:一般情况下sci论文的结论部分不要出现图表这些内容。

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