Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Structural Classification of Joints01:20

Structural Classification of Joints

3.1K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.1K
Teeth01:15

Teeth

264
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
264
Associative Learning01:27

Associative Learning

255
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
255
Functional Classification of Joints01:09

Functional Classification of Joints

3.7K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
3.7K
Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K
Improving Translational Accuracy02:07

Improving Translational Accuracy

8.5K
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...
8.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Occlusal types shape oral microbiome stomatotypes and metabolic landscapes: A multi-omics perspective on host-microbe interaction.

Microbial cell (Graz, Austria)·2026
Same author

PCK2 as a potential therapeutic target for aggressive MYC-amplified non-WNT/non-SHH medulloblastoma based on tumor continuum.

Acta neuropathologica communications·2026
Same author

Career Status and Mental Health Among Female Dentists in China: A Nationwide Cross-Sectional Survey.

International dental journal·2026
Same author

Daily supplementation with egg yolk lipids from two eggs alleviated cognitive impairment in 5 × FAD mice by restoring neuronal and synaptic function and regulating gut microbiota.

Food & function·2026
Same author

Effect of vaginal estrogen supplementation for luteal phase support in the GnRH antagonist protocol on pregnancy outcomes for IVF/ICSI cycles: a randomized controlled trial.

Human reproduction open·2026
Same author

Correction to "Aspirin-Loaded Anti-Inflammatory ZnO-SiO<sub>2</sub> Aerogel Scaffolds for Bone Regeneration".

ACS applied materials & interfaces·2026

相关实验视频

Updated: May 16, 2025

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

977

LETA:基于双分支潜伏编码的牙对齐预测.

Zefeng Shi, Zijie Meng, Ruizhe Chen

    IEEE transactions on visualization and computer graphics
    |April 4, 2025
    PubMed
    概括

    这项研究介绍了LETA,这是一种用于正牙科中自动化3D牙对齐的AI系统. 莱塔显著减少了手工劳动,提高了数字牙科的效率.

    科学领域:

    • 生物医学工程 生物医学工程
    • 计算机科学 计算机科学
    • 矯正牙科 矯正牙科是一種矯正牙科.

    背景情况:

    • 准确的牙定位在正牙科中至关重要.
    • 目前用于牙对齐的手动方法耗时且效率低下.
    • 数字牙科需要复杂的牙科任务的自动化解决方案.

    研究的目的:

    • 介绍LETA,这是一款用于自动化3D牙对齐的新型深度学习系统.
    • 开发一种高效准确的方法来预测牙姿势的变化.
    • 在数字牙科工作流程中减少正牙医的手工工作量.

    主要方法:

    • 对于3D牙对齐,LETA使用双分支的潜伏编码方法.
    • 该系统从口腔内扫描仪 (IOS) 处理细分的单个3D牙网.
    • 关键组件包括一个用于隐藏代码学习的编码器,一个用于转换的投影仪,以及一个以地面真实特征为指导的姿势估计的解决器.

    主要成果:

    • 在9,868个IOS表面的大型数据集上,LETA实现了最先进的性能.
    • 该系统准确地预测了单个牙的3D姿势转换.
    • 一项临床研究表明,LETA可以将牙矯正師的工作量降低60%以上.

    更多相关视频

    Automatic Identification of Dendritic Branches and their Orientation
    06:08

    Automatic Identification of Dendritic Branches and their Orientation

    Published on: September 17, 2021

    1.9K
    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
    05:49

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

    Published on: February 23, 2024

    745

    相关实验视频

    Last Updated: May 16, 2025

    Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
    07:32

    Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

    Published on: February 23, 2024

    977
    Automatic Identification of Dendritic Branches and their Orientation
    06:08

    Automatic Identification of Dendritic Branches and their Orientation

    Published on: September 17, 2021

    1.9K
    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
    05:49

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

    Published on: February 23, 2024

    745

    结论:

    • 莱塔为3D牙对齐提供了高效的自动化解决方案.
    • 深度学习方法显示了推动数字牙科发展的巨大潜力.
    • 这种方法有望简化正义牙科治疗的规划和执行.