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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

493
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
493

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相关实验视频

Updated: Jan 9, 2026

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
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使用基于变压器的时间序列分析预测青少年视觉敏度

Yuxing Lu, Xukai Zhao, Weichen Zhao

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    一个新的AI模型,视觉敏度序列变压器 (VAST),准确地预测了青少年近视的进展. 该工具有助于早期检测和个性化治疗计划,以获得更好的长期视力结果.

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    科学领域:

    • 眼科医生 眼科 眼科
    • 人工智能的人工智能
    • 生物医学工程 生物医学工程

    背景情况:

    • 在青少年中预测视力敏度具有挑战性,特别是在近视管理方面.
    • 准确预测近视的进展对于及时干预至关重要.

    研究的目的:

    • 介绍视觉敏度序列变压器 (VAST),这是一个新的AI架构,用于预测视觉敏度的进展.
    • 用纵向临床数据评估VAST在捕捉复杂近视进展模式方面的表现.

    主要方法:

    • 开发了VAST,一种利用生成时间编码的变压器架构.
    • 在青少年患者的纵向临床数据上接受过培训和验证的VAST.
    • 使用皮尔森相关系数对球体等价和轴长进行模型性能评估.

    主要成果:

    • VAST 实现了高精度,其皮尔森相关系数为0.970 (OD) 和0.969 (OS) 球形等价.
    • 该模型在轴长度测量方面表现出色,系数为0.981 (OD) 和0.979 (OS).
    • VAST有效地捕获了不同发展阶段和数据可用性的复杂进展模式.

    结论:

    • VAST 是临床医生在管理青少年近视方面的一种强有力的工具.
    • 该模型可以早期检测近视的快速进展,并支持个性化治疗策略.
    • 通过VAST准确预测视力敏度,可以促进及时干预,从而有可能改善长期视力结果.