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

Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.8K
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...
2.8K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.0K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.0K
Entropy02:39

Entropy

30.2K
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...
30.2K
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

5.3K
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...
5.3K
Types of Damping01:20

Types of Damping

6.5K
If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
6.5K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.6K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.6K

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

A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition.

PLoS computational biology·2026
Same author

Human brain changes after first psilocybin use.

Nature communications·2026
Same author

The exposome of brain aging across 34 countries.

Nature medicine·2026
Same author

Competitive interactions shape mammalian brain network dynamics and computation.

Nature neuroscience·2026
Same author

Synergistic and redundant information dynamics are modulated by Alzheimer's disease and cognitive impairment.

bioRxiv : the preprint server for biology·2026
Same author

Convergent transcriptomic and connectomic controllers of information integration and its anaesthetic breakdown across mammalian brains.

Nature human behaviour·2026

相关实验视频

Updated: Jul 9, 2025

Sealable Femtoliter Chamber Arrays for Cell-free Biology
13:44

Sealable Femtoliter Chamber Arrays for Cell-free Biology

Published on: March 11, 2015

9.5K

动态噪声可以增强复杂系统中的高阶统计结构.

Patricio Orio1,2, Pedro A M Mediano3,4, Fernando E Rosas5,6,7,8

  • 1Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, 2360103 Valparaíso, Chile.

Chaos (Woodbury, N.Y.)
|December 4, 2023
PubMed
概括

动态噪声可以增强复杂系统中的高阶相互依赖性,这与以前的看法相反. 这项研究表明,噪音可以改善统计规律性,改变相互依赖性,提供对其出现的洞察力.

更多相关视频

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.6K
Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
08:03

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Published on: April 13, 2022

2.1K

相关实验视频

Last Updated: Jul 9, 2025

Sealable Femtoliter Chamber Arrays for Cell-free Biology
13:44

Sealable Femtoliter Chamber Arrays for Cell-free Biology

Published on: March 11, 2015

9.5K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.6K
Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
08:03

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Published on: April 13, 2022

2.1K

科学领域:

  • 复杂的系统复杂的系统.
  • 信息理论 信息理论
  • 统计物理 统计物理

背景情况:

  • 高级的相互依赖关系对于复杂系统的信息处理至关重要.
  • 以前的研究表明,这些相互依存关系是脆弱的,很难利用.

研究的目的:

  • 挑战这样一种观念,即高层次的相互依赖很容易被破坏.
  • 调查随机扰动对高阶相互依存关系的影响.

主要方法:

  • 使用初级细胞自动机作为测试台.
  • 分析了动态噪声对系统动态和相互依存性的影响.

主要成果:

  • 证明了高阶的相互依赖性可以对随机扰动具有稳定性,甚至可以被随机扰动增强.
  • 展示了动态噪声提高代理之间的统计规律性的能力.
  • 观察到的噪音改变了相互依存的特征,与当地规则的结构有关.

结论:

  • 在与杂环境相互作用的系统中,可以出现和加强高阶的相互依赖.
  • 这些发现加深了对像大脑这样的系统中高阶相互依赖的起源和功能的理解.