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

Equation of Continuity01:12

Equation of Continuity

11.8K
Fluid motion is represented by either velocity vectors or streamlines. The volume of a fluid flowing past a given location through an area during a period of time is called the flow rate Q, or more precisely, the volume flow rate. Flow rate and velocity are related—for instance, a river has a greater flow rate if the velocity of the water in it is greater. However, the flow rate also depends on the size and shape of the river. The relationship between flow rate (Q) and average speed (v)...
11.8K
Continuity Equation01:20

Continuity Equation

1.6K
The total amount of current flowing per unit cross-sectional area is called the current density. Hence, the current passing through a cross-sectional area can be written as the surface integral of the current density.
1.6K
Continuity Equation01:28

Continuity Equation

3.5K
The continuity equation asserts that the mass flow rate must remain constant for a steady flow of an incompressible fluid within a confined system. This principle applies to systems where fluid passes through varying cross-sectional areas, such as nozzles, syringes, and pipes.
The mass flow rate is expressed as:
3.5K
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

334
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
334
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.3K
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.
3.3K
Continuity of a Function01:23

Continuity of a Function

323
A function is continuous at a point a if three conditions are met: the function is defined at a, the limit of the function as x approaches a exists, and this limit equals the function’s value. Mathematically, this is written asThis definition ensures the graph of the function does not exhibit any breaks, holes, or jumps at that point. Discontinuities occur when any of these conditions fail. A removable discontinuity exists when the two-sided limit exists but the function is either...
323

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

Diagnostic performance of a single breath-hold lung MRI scan with AI-powered compressed sensing for nodule detection in comparison to photon counting detector-CT.

European radiology·2026
Same author

Time-dependent effects of interleukin-1 blockade by anakinra in myocarditis and inflammatory cardiomyopathy.

European journal of heart failure·2026
Same author

Cardiac Computed Tomography-Guided Procedural Planning for Percutaneous Mitral Paravalvular Leak Closure: Impact on Crossing Time.

The Canadian journal of cardiology·2026
Same author

A preoperative Artificial Intelligence model to estimate cancer-specific mortality in nonmetastatic kidney cancer patients.

Nature communications·2026
Same author

Independent prognostic value of left ventricular stroke volume index in patients with takotsubo syndrome: insights from the EVOLUTION registry.

Heart (British Cardiac Society)·2026
Same author

Real-world insights into coronary CTA prognostication: value of semiquantitative scores.

La Radiologia medica·2026

相关实验视频

Updated: Mar 10, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.5K

共同演化的图表上的进化方程:长期行为和图形连续性方程.

José Antonio Carrillo1, Antonio Esposito2, László Mikolás1

  • 1Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG UK.

Journal of nonlinear science
|March 9, 2026
PubMed
概括
此摘要是机器生成的。

这项研究将共同进化的无限图形上的进化方程与非线性连续性方程联系起来. 研究人员证明了长期趋同的解决方案,以统一的质量分布使用图形上上升动态.

关键词:
同时发展的图表.图表上的演变.长期的行为行为.非局部方程 不局部方程

更多相关视频

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

658
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.4K

相关实验视频

Last Updated: Mar 10, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.5K
Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

658
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.4K

科学领域:

  • 数学 数学 是一个数学.
  • 动态系统 动态系统
  • 图形理论 图形理论

背景情况:

  • 无限图的进化方程对于建模复杂系统至关重要.
  • 了解这些系统的行为需要分析它们的动态演变.
  • 非线性连续性方程为描述质量分布变化提供了一个框架.

研究的目的:

  • 在共同演化的无限图形和非线性连续性方程上建立进化方程之间的严格数学联系.
  • 分析图连续性方程的弱解的行为.
  • 调查在特定动态下解决方案的长期趋同.

主要方法:

  • 建立弱解与相关特征方程的流程图之间的连接.
  • 利用初始数据通过流程图向前推送.
  • 在图表上应用上转动力学,以点向和单调的速度.

主要成果:

  • 图形连续性方程的弱解被证明是初始数据的向前推进.
  • 在适当的距离内可以证明收缩,尽管流量受到限制.
  • 证明了解决方案的长期趋同,以实现统一的质量分布.

结论:

  • 建立的链接为分析动态图上的进化方程提供了一个强大的工具.
  • 上升动态为证明长期趋同提供了一种可行的方法.
  • 这些发现有助于理解不断发展的基于图形的系统中的质量分布.