纠正"大鼠算法 (GCRA):用于优化问题的自然启发的元启发方法" [Heliyon第10卷,第11期,2024年6月,第31629条]
Jeffrey O Agushaka1, Absalom E Ezugwu2, Apu K Saha3
1Department of Computer Science, Federal University of Lafia, Lafia, 950101, Nigeria.
Heliyon
|December 15, 2025
概括
这项研究纠正了先前发表的一篇文章的DOI. 校正确保准确的引用和检索科学文献的研究结果.
科学领域:
- 图书统计学 图书统计学
- 科学出版科学出版
- 研究诚信研究诚信
背景情况:
- 准确的引用对于科学文献至关重要.
- 数字物体识别器 (DOI) 确保可靠的研究访问.
- 在DOI中的错误可能会阻碍科学交流和可复制性.
研究的目的:
- 纠正一个错误的数字物体标识符 (DOI) 发表的文章.
- 确保科学记录的完整性和可访问性.
- 为了促进研究的准确引用和检索.
主要方法:
- 在原始出版物中错误的DOI的识别.
- 通过出版商记录验证正确的DOI.
- 发布纠正通知以更新科学记录.
主要成果:
- 错误的DOI已被确定并纠正.
- 正确的DOI现在与该文章相关联.
- 这确保了正确的引用和对研究的访问.
结论:
- 对DOI的纠正提高了科学记录的可靠性.
- 准确的元数据对于有效的学术交流至关重要.
- 保持研究完整性是科学出版的一个关键方面.
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