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

Entropy02:39

Entropy

34.8K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
34.8K
Entropy01:18

Entropy

3.5K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.5K
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

6.6K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
6.6K
Entropy and Solvation02:05

Entropy and Solvation

8.2K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
8.2K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

23.9K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
23.9K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

4.7K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
4.7K

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

HuBIE: The human blood immunome encyclopedia of TCRs and BCRs in bloodstream infections and cancer.

Frontiers in immunology·2026
Same author

Comparing frameworks for similarity-aware generalized entropy (sentropy).

Physical review. E·2026
Same author

Correction: Ricci et al. Causes of Childhood Cancer: A Review of the Recent Literature: Part I-Childhood Factors. <i>Cancers</i> 2024, <i>16</i>, 1297.

Cancers·2026
Same author

Contrasting effects of SARS-CoV-2 vaccination vs. infection on antibody and TCR repertoires.

PloS one·2026
Same author

MECP2-Associated Rett Syndrome Without Developmental Regression-A Case Series.

Journal of child neurology·2026
Same author

Recovery centered perinatal care: A retrospective cohort study evaluating a scalable prenatal care model to improve outcomes for birthing people with opioid use disorder and their newborns.

Journal of substance use and addiction treatment·2026

相关实验视频

Updated: Jan 10, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.3K

哪一个相似感应 (S-)?

Phuc Nguyen, Josiah Couch, Rahul Bansal

    ArXiv
    |November 26, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究比较了两个度指标,Leinster-Cobbold-Reeve (LCR) 和Vendi Score (VS),发现它们捕获了不同的信息. 对于基于相似性的计算,LCR通常是最受青的,而VS则具有特定的应用.

    更多相关视频

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.9K
    Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
    10:08

    Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

    Published on: August 12, 2019

    17.6K

    相关实验视频

    Last Updated: Jan 10, 2026

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
    11:15

    Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

    Published on: June 27, 2013

    34.3K
    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.9K
    Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
    10:08

    Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

    Published on: August 12, 2019

    17.6K

    科学领域:

    • 信息理论 信息理论
    • 数据科学数据科学数据科学
    • 机器学习 机器学习

    背景情况:

    • 传统的度测量量基于元素频率的信息.
    • 莱恩斯特,科博德和里夫 (LCR) 引入了相似度敏感 (S-) 来捕获更丰富的信息.
    • 作为一个替代方案,Vendi Score (VS) 出现了,促使与LCR进行比较.

    研究的目的:

    • 为了比较Leinster-Cobbold-Reeve (LCR) 方法和用于量化系统的Vendi分数 (VS).
    • 确定LCR和VS的实际含义和最佳用例.
    • 分析LCR和VS之间的概念,分析和实验差异.

    主要方法:

    • 使用53个机器学习数据集进行概念,分析和实验比较.
    • 调查LCR和VS对相似度缩放的依赖,并引入"半距离".
    • 在特定条件下的VS作为LCR的上限的数学证明.

    主要成果:

    • LCR和VS值可以显著不同,并捕获补充信息.
    • 这两种测量都对相似度缩放敏感,参数为"半距离".
    • 已经证明VS是几个Rényi-Hill顺序参数LCR的上限.

    结论:

    • 对于特定的解释 (ur 元素,量子类系统) 则优先选择VS.
    • 在计算中,LCR通常被青用于捕获相似性编码信息.
    • 在某些"半距离"上,LCR和VS可以互补.