校正:一个数字双驱动的深度学习框架,用于在线检查烟草移植的质量
Qiuyang Zhao1, Erdeng Ma2, Jian Zhao1,3,4
1School of Technology, Beijing Forestry University, Beijing, China.
Frontiers in plant science
|March 5, 2026
概括
这项研究纠正了之前的文章DOI. 修正后的DOI为10.3389/fpls.2026.1716046,确保了该研究的适当引用和可发现性.
科学领域:
- 这项研究属于植物科学和农业研究领域.
背景情况:
- 准确的引用对于科学完整性和可重复性至关重要.
- 确保正确的数字物体标识符 (DOI) 便于获取已发表的研究.
研究的目的:
- 为以前发布的错误的DOI提供纠正.
- 为了确保在未来的引用中引用正确的文章.
主要方法:
- 识别与该物品相关的不正确的DOI.
- 通过数据库交叉引用来验证正确的DOI.
主要成果:
- 错误的DOI已被识别和标记.
- 对该物品的正确DOI已得到确认,现在已提供.
结论:
- 校正确保研究人员能够准确地访问和引用预期的出版物.
- 此更新维护了科学沟通和数据完整性的标准.
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...