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相关概念视频

Random Variables01:09

Random Variables

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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...
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Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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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.
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Genetic Drift03:33

Genetic Drift

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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Current Growth And Decay In RL Circuits01:30

Current Growth And Decay In RL Circuits

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The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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简单的进化的随机图表.

P L Krapivsky1

  • 1Department of Physics, <a href="https://ror.org/05qwgg493">Boston University</a>, Boston, Massachusetts 02215, USA and <a href="https://ror.org/01arysc35">Santa Fe Institute</a>, Santa Fe, New Mexico 87501, USA.

Physical review. E
|July 18, 2024
PubMed
概括
此摘要是机器生成的。

简单的随机图形与经典图形的演变不同. 当树木消失时,它们的增长会结,与无限增长的经典图形不同.

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科学领域:

  • 图形理论就是图形理论.
  • 统计物理学的统计物理.

背景情况:

  • 经典的随机图表表现出连续增长和巨大的组件形成.
  • 了解图形演变动态在网络科学中至关重要.

研究的目的:

  • 为了研究简单的随机图的独特进化和相位过渡.
  • 在这些图表中分析冷状态的属性.

主要方法:

  • 通过概率地添加边缘来建模随机图形密度.
  • 分析图形结构 (树和单轮) 和它们的过渡.
  • 研究热力学极限和冷状态中的行为.

主要成果:

  • 简单的随机图形只形成树和单轮.
  • 在热力学极限发生相变,类似于透.
  • 与经典图形不同,当树木消失时,它们的演变会结.

结论:

  • 简单的随机图表表现出明显的结现象.
  • 结状态属性与经典的随机图模型有很大的不同.