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

Improving Translational Accuracy02:07

Improving Translational Accuracy

9.4K
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...
9.4K
Genetic Lingo01:11

Genetic Lingo

102.1K
Overview
102.1K
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

772
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
772
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
DC Generator01:19

DC Generator

691
An alternator converts mechanical energy into electrical energy that varies sinusoidally, resulting in AC current. Meanwhile, a DC generator converts mechanical energy into electrical energy, which are DC pulses with the same polarity. The construction of a DC generator is similar to that of an alternator, except that the pair of slip rings is replaced by a single split ring, also called a commutator. The commutator functions like a periodic rotary switch; it changes the contacts with the...
691
Histogram01:05

Histogram

12.7K
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
12.7K

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

Potential of circulating miR-29a and miR-142-5p as biomarkers for diabetic nephropathy: a cross-sectional study.

Frontiers in medicine·2026
Same author

Reference intervals for plasma IFN-α, TNF-α, IL-12p70, and IFN-γ by flow cytometry in healthy adults from eastern China: a single-center study.

Frontiers in immunology·2026
Same author

Establishment of reference intervals for plasma IL-6, IL-8, IL-10, and IL-1β in healthy adults from Lianyungang, Jiangsu, China: a single-center flow cytometry analysis.

Frontiers in medicine·2026
Same author

Size-tunable hemoglobin oxygen carriers with antioxidant and pro-angiogenic functions for wound healing.

Chemical communications (Cambridge, England)·2026
Same author

PEDV nucleocapsid (N) protein induces liquid-liquid phase separation (LLPS) to selectively aggregate the viral genome.

Veterinary microbiology·2026
Same author

Network Pharmacology, Molecular Docking and Dynamics Simulation Reveal the Anti-Colitis Mechanism of <i>Smilax glabra</i> Roxb.

Clinical and experimental gastroenterology·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
查看所有相关文章

相关实验视频

Updated: Jun 13, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

519

承诺和陷:使用大型语言模型生成可视化项目

Yuan Cui, Lily W Ge, Yiren Ding

    IEEE transactions on visualization and computer graphics
    |September 10, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了VILA管道,使用大型语言模型 (LLM) 来自动生成各种可视化项目以评估可视化素养. 维拉银行提供超过1000个项目,证明了有效创建教育材料的潜力.

    更多相关视频

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.1K
    Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
    07:38

    Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

    Published on: April 9, 2017

    10.1K

    相关实验视频

    Last Updated: Jun 13, 2025

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    519
    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.1K
    Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
    07:38

    Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

    Published on: April 9, 2017

    10.1K

    科学领域:

    • 信息可视化 信息可视化
    • 教育技术的教育技术
    • 教育中的人工智能

    背景情况:

    • 可视化项目对于评估可视化素养至关重要,但需要大量的时间来创建.
    • 现有的生成可视化项目的方法缺乏可扩展性和多样性.
    • 研究人员需要大型,高质量的项目库来进行强大的教育和评估研究.

    研究的目的:

    • 调查大型语言模型 (LLM) 对于自动生成多选可视化项目的潜力.
    • 开发和评估一条管道 (VILA),用于创建各种可视化项目.
    • 建立可靠的可视化项目银行,用于研究和教育.

    主要方法:

    • 通过代设计过程开发了VILA (由大型语言模型生成的可视化项目) 管道.
    • 在12个图表类型和13个可视化任务中生成了1,404个候选项.
    • 与11位可视化专家合作,创建了一个评估规则书,并评价项目质量.

    主要成果:

    • 创建了VILA银行,包含大约1100个高质量的可视化项目.
    • 识别和分类VILA管道的局限性以及人类监督的重要性.
    • 与现有测试相比,开发了VILA-VLAT,一种可视化识字测试,与现有测试相比,具有中等至高的融合有效性 (R = 0.70).

    结论:

    • 维拉管道为生成各种可视化项目提供了一种有效的方法,解决了可视化教育和研究的关键需求.
    • 维拉银行为评估可视化素养提供了有价值的资源.
    • 未来的工作应该专注于改进基于LLM的项目生成,并探索更广泛的应用.