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

30.1K
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...
30.1K
Diffusion01:12

Diffusion

192.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
192.0K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

4.4K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
4.4K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.5K
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.
2.5K
First Law: Particles in One-dimensional Equilibrium01:10

First Law: Particles in One-dimensional Equilibrium

6.9K
Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...
6.9K
First Law: Particles in Two-dimensional Equilibrium01:18

First Law: Particles in Two-dimensional Equilibrium

5.1K
Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
5.1K

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

Interferon-α as a precision medicine tool in Sjögren's disease: a cohort and experimental medicine study.

The Lancet. Rheumatology·2026
Same author

Whole-genome sequencing uncovers diverse genetic causes and phenotypic signatures in infantile nystagmus and albinism.

NPJ genomic medicine·2026
Same author

From Low Field to High Value: Robust Cortical Mapping From Low-Field MRI.

Human brain mapping·2026
Same author

Long-Term Postdeployment Clinical Subtypes of Risk and Resiliency in Brain Injury and Neurodegeneration.

JAMA network open·2025
Same author

Free water elimination tractometry for aging brains.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Biomarker discovery using NUcleic Acid-Linked Immuno-Sandwich Assay in multiple sclerosis patients experiencing progression independent of relapse activity.

Multiple sclerosis (Houndmills, Basingstoke, England)·2025
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
查看所有相关文章

相关实验视频

Updated: Jun 30, 2025

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
09:19

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Published on: July 29, 2013

11.4K

在无序的网格和随机网络上分散的持久性.

Omar Malik1,2, Melinda Varga3, Alaa Moussawi1,2

  • 1Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.

Physical review. E
|March 16, 2024
PubMed
概括
此摘要是机器生成的。

网络中的扩散性持久性取决于拓. 在二维无序网络中,持久性遵循在透值之上和在透值之上的功率规律,具有不同的指数. 随机网络缺乏简单的扩展.

更多相关视频

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

8.5K
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

8.5K

相关实验视频

Last Updated: Jun 30, 2025

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
09:19

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Published on: July 29, 2013

11.4K
The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

8.5K
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

8.5K

科学领域:

  • 统计物理 统计物理
  • 网络科学 网络科学
  • 复杂的系统复杂的系统.

背景情况:

  • 网络中的随机过程表现出复杂的时间动态.
  • 了解波动及其寿命对于网络行为至关重要.
  • 扩散持久性量化了网络节点内的场的时间稳定性.

研究的目的:

  • 在各种无序和随机网络中调查扩散性持久性.
  • 确定网络拓如何影响波动的时间特征.
  • 分析透值及以上的缩放行为和有限尺寸效应.

主要方法:

  • 在二维无序网络和随机网络 (例如,Erdős-Rényi) 中对扩散性持久性的分析.
  • 计算扩散性持久性作为时间和系统大小的函数的缩放指数.
  • 在透值的有限尺寸效应的检查.

主要成果:

  • 在透以上的二维无序网络中,扩散性持久度尺度为P(t,L)∼t^{-θ}, θ0.186.6.
  • 在透值时,由于结构转变,缩放指数转移到 θ0.141.
  • 在透值的有限尺寸效应显示出功率定律P{t,L) ∼L^{-zθ}与z2.86.
  • 随机网络缺乏简单的权力规律扩展,超过透值.

结论:

  • 网络拓学极大地影响了扩散性持久性和波动寿命.
  • 透过渡显著改变了无序网络中的扩展行为.
  • 无序和随机网络表现出从根本上不同的持久性动态.