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相关概念视频

Predicting Products: SN1 vs. SN202:27

Predicting Products: SN1 vs. SN2

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Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
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Structural Protein Function01:56

Structural Protein Function

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Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to...
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Nuclear Fusion02:45

Nuclear Fusion

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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
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Fruit Development, Structure, and Function01:58

Fruit Development, Structure, and Function

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Fruits form from a mature flower ovary. As seeds develop from the ovules contained within, the ovary wall undergoes a series of complex changes to form fruit. In some fruits, such as soybeans, the ovary wall dries; in other fruits, such as grapes, it remains fleshy. In some cases, organs other than the ovary contribute to fruit formation; such fruits are called accessory fruits.
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Crystal Field Theory - Octahedral Complexes02:58

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Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
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相关实验视频

Updated: Jan 22, 2026

Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
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预测HFA 30-2 视觉场与深度学习从多模式的OCT-Fundus特征融合和结构功能不一致性分析的深度学习.

İlknur Tuncer Fırat1, Murat Fırat2, Haci Erbali1

  • 1Faculty of Medicine, Inonu University, Ophthalmology, Malatya, Türkiye.

Journal of imaging informatics in medicine
|January 20, 2026
PubMed
概括

这项研究表明,人工智能可以从眼部扫描中预测视觉现场测试结果,从而改善青光眼的诊断. 当结构和功能措施对齐时,预测更准确,突出了结构功能一致的重要性.

关键词:
汉弗雷 302 2 的情况.光学一致性断层扫描技术结构功能 不一致性 不一致性视觉变压器 视觉变压器视觉场 视觉场 视觉场 视觉场

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科学领域:

  • 眼科医生 眼科 眼科
  • 人工智能在医学中的应用
  • 医学成像分析 医学成像分析

背景情况:

  • 玻璃眼是不可逆转的视力丧失的主要原因.
  • 视野 (VF) 测试评估功能损失,而光学连贯性断层扫描 (OCT) 和 fundus成像提供结构数据.
  • VF测试可以是主观的,并表现出可变性,有时显示结构功能不一致 (SFD).

研究的目的:

  • 为了估计汉普里30-2视野测量 (平均偏差 (MD),模式标准偏差 (PSD) 和点wise值灵敏度 (TS)) 在青光眼/眼睛高血压 (OHT) 患者.
  • 使用基于视觉变压器 (ViT-B/32) 的功能融合方法,将OCT和 fundus 图像结合起来.
  • 分析SFD对预测准确性的影响.

主要方法:

  • 使用ViT-B/32模型从光盘照片, fundus图像和视网膜神经纤维层 (RNFL) 地图中提取了视觉特征.
  • 开发了一种多式人工智能模型,将视觉特征与人口和临床数据相结合.
  • 采用全球VF指数 (MD,PSD) 的概率回归和位置感知网络进行点智的TS预测.

主要成果:

  • 人工智能模型的平均绝对误差 (MAE) 为MD的2.26dB,PSD的1.42dB,平均TS的2.96dB.
  • 除了患有SFD的眼睛,MAE的改善为1.82dB (MD),1.30dB (PSD) 和2.12dB (平均TS),比例增加至±2dB.
  • 在临床一致的病例中,模型的性能明显更好.

结论:

  • 基于ViT-B/32的深度特征融合准确地从多式联络结构图像中预测VF指标.
  • 结构功能不一致会对预测可靠性产生负面影响.
  • 在OCT-VF一致的情况下,AI预测更可靠,在解释结果时应考虑SFD.