校正:优化C-TIRADS用于使用机器学习衍生特征重要性的亚厘米甲状腺结节
Dongming Guo1, Zhihui Lin1, Jiajia Wang1
1Department of Interventional Ultrasound, Cancer Hospital of Shantou University Medical College, Shantou, China.
Frontiers in endocrinology
|November 17, 2025
概括
这项研究纠正了先前发表的一篇文章的DOI. 校正确保了正确的引用和对研究结果的访问.
科学领域:
- 内分泌学 在内分泌学.
- 代谢过程中的代谢.
背景情况:
- 之前的出版物需要对其数字对象标识符 (DOI) 进行更正.
- 准确的DOI对于科学文献的追踪和引用至关重要.
研究的目的:
- 为了提供正确的DOI的文章.
- 确保研究人员能够准确地访问和引用该研究.
主要方法:
- 已经发布了纠正通知.
- 正确的DOI现在可用了.
主要成果:
- 文章DOI已经更新.
- 这确保了科学记录的完整性.
结论:
- 校正有助于对研究进行正确的引用.
- 准确的引用是科学进步的基础.
相关概念视频
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...