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Spontaneity02:21

Spontaneity

A spontaneous process is one that occurs naturally under certain conditions. A nonspontaneous process, on the other hand, will not take place unless it is “driven” by the continual input of energy from an external source. Processes have a natural tendency to occur in one direction under a given set of conditions. Water will naturally flow downhill (spontaneous process), but uphill flow (nonspontaneous process) requires outside intervention such as the use of a pump. Iron exposed to the earth’s...
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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.
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
Random Variables01:09

Random Variables

A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Poisson Probability Distribution01:09

Poisson Probability Distribution

A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
Entropy02:39

Entropy

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...

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相关实验视频

Updated: Jun 24, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

在随机网络中爆炸性透.

Dimitris Achlioptas1, Raissa M D'Souza, Joel Spencer

  • 1Department of Computer Science, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.

Science (New York, N.Y.)
|March 17, 2009
PubMed
概括
此摘要是机器生成的。

在随机网络形成中引入选择可以导致不连续的透过渡,这是网络科学的一项新发现. 这挑战了以前关于网络如何在临界点附近连接在一起的假设.

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Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
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Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

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相关实验视频

Last Updated: Jun 24, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
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Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Published on: March 5, 2014

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
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Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

科学领域:

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

背景情况:

  • 随机网络形成模型,如埃尔多斯-雷尼模型,通常表现出连续的透过渡.
  • 透过渡涉及到网络连接在一个关键点周围的突然增加.
  • 随机网络中不连续的透过渡的可能性仍然是一个开放的理论问题.

研究的目的:

  • 调查随机网络中的透过渡是否可以是不连续的.
  • 探索将有限的选择引入网络形成模型的影响.
  • 在随机图中挑战对透现象的既定理解.

主要方法:

  • 修改了经典的埃尔多斯-雷尼网络形成模型.
  • 将有限选择机制纳入连接形成过程中.
  • 分析由此产生的网络结构和透行为.

主要成果:

  • 证明引入有限的选择导致不连续的透过渡.
  • 观察过渡点以上的网络组件突然,大规模的连接.
  • 与纯粹随机模型中观察到的典型连续过渡形成鲜明对比.

结论:

  • 随机网络中的透过渡在特定条件下可能是不连续的.
  • 网络形成的选择有限是推动这种不连续性的关键因素.
  • 这些发现为复杂系统的行为和网络稳定性提供了新的见解.