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

Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

267
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
267
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

672
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
672
Stability of structures01:14

Stability of structures

195
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
195
Radical Chain-Growth Polymerization: Chain Branching01:17

Radical Chain-Growth Polymerization: Chain Branching

2.0K
The skeletal structure of polymers synthesized via radical polymerization is always branched. For example, the polymerization of ethylene by radical polymerization results in a low-density grade of polyethylene with a heavily branched skeletal structure. Here, the radical site abstracts hydrogen from the growing chain, and the radical site shifts from the end (a primary carbon center) to anywhere within the growing chain (a secondary carbon center). Consequently, the part of the chain from the...
2.0K
Radical Chain-Growth Polymerization: Mechanism01:09

Radical Chain-Growth Polymerization: Mechanism

2.6K
The radical chain-growth polymerization mechanism consists of three steps: initiation, propagation, and termination of polymerization. The polymerization initiates when a free radical generated from the radical initiator adds to the unsaturated bond in the monomer. The unpaired electron of the free radical and one π electron in the unsaturated bond creates a σ bond between the free radical and the monomer. As a result, the other π electron in the unsaturated bond converts this...
2.6K
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

3.4K
Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta...
3.4K

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

Impossibility of refrigeration and engine operation in minimal qubit repeated-interaction models.

The Journal of chemical physics·2026
Same author

Machine learning delta-T noise for temperature bias estimation.

The Journal of chemical physics·2025
Same author

Random walk with horizontal and cyclic currents.

Physical review. E·2025
Same author

Specificity and tunability of efflux pumps: A new role for the proton gradient?

PLoS computational biology·2025
Same author

Bath-Engineering Magnetic Order in Quantum Spin Chains: An Analytic Mapping Approach.

Physical review letters·2024
Same author

Bath-induced interactions and transient dynamics in open quantum systems at strong coupling: Effective Hamiltonian approach.

The Journal of chemical physics·2024
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: Jul 16, 2025

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.2K

模块链上的随机走:通过统计数据检测结构.

Matthew Gerry1, Dvira Segal1,2

  • 1Department of Physics, University of Toronto, 60 Saint George St., Toronto, Ontario M5S 1A7, Canada.

Physical review. E
|September 19, 2023
PubMed
概括
此摘要是机器生成的。

模块化网络中的动力传输取决于全球性质,而不是局部结构. 高阶时刻揭示了网络细节,如不均性和重复的单元大小,这对于理解电荷传输至关重要.

更多相关视频

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Quantitative Locomotion Study of Freely Swimming Micro-organisms Using Laser Diffraction
10:03

Quantitative Locomotion Study of Freely Swimming Micro-organisms Using Laser Diffraction

Published on: October 25, 2012

11.6K

相关实验视频

Last Updated: Jul 16, 2025

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.2K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Quantitative Locomotion Study of Freely Swimming Micro-organisms Using Laser Diffraction
10:03

Quantitative Locomotion Study of Freely Swimming Micro-organisms Using Laser Diffraction

Published on: October 25, 2012

11.6K

科学领域:

  • 物理 物理学 物理
  • 物理化学 物理化学
  • 生物物理学的生物物理.

背景情况:

  • 模块化网络对于理解复杂系统至关重要.
  • 动力运输现象在各种科学学科中是根本性的.
  • 在异质系统中对运输进行描述仍然是一个挑战.

研究的目的:

  • 研究一维模块化网络中的动力传输.
  • 确定本地和全球网络结构如何影响运输属性.
  • 探索高阶累积在揭示网络架构中的实用性.

主要方法:

  • 动力运输的分析建模.
  • 运输动态的数值模拟.
  • 分析高阶累积物 (曲,扩散系数).

主要成果:

  • 平均运输速度对局部网络结构无关,仅依赖于全球性质.
  • 高级累积 (,扩散系数) 显示了关于网络不均质和重复单元大小的信息.
  • 偏差链中的扩散系数很弱地揭示了结构动机,这种依赖性在低偏差和高偏差下消失.

结论:

  • 人口分布的高阶时刻提供了超出平均速度的结构信息.
  • 这些发现有助于破译远程货运运输的机制和架构.
  • 该研究提供了适用于生物分子和生物/化学反应网络的见解.