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

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

673
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
673
Network Function of a Circuit01:25

Network Function of a Circuit

974
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
974
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

682
Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
682
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

453
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
453
Two-Compartment Open Model: Overview01:05

Two-Compartment Open Model: Overview

666
Multicompartmental models are crucial tools in pharmacokinetics, providing a framework to understand how drugs move within the body. The two-compartment model is a crucial subtype, segmenting the body into central and peripheral compartments. The central compartment represents areas with high blood flow, such as plasma and highly perfused organs like the kidneys and liver, while the peripheral compartment signifies tissues with lower blood flow, like adipose tissue and muscle tissue.
The...
666
Bus Impedance Matrix01:24

Bus Impedance Matrix

551
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
551

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

Large-scale genomic surveillance reveals immunosuppression drives mutation dynamics in persistent SARS-CoV-2 infections.

Nature communications·2026
Same author

Social network structure and depression by gender in rural Honduras: a cross-sectional study.

BMJ open·2026
Same author

On the optimal integration of intelligent agents into network systems to steer cooperation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Far-reaching consequences of trait preferences for animal social network structure and function.

Behavioral ecology : official journal of the International Society for Behavioral Ecology·2026
Same author

Social networks and international migration in Honduran villages.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Higher-order interactions shape collective human behaviour.

Nature human behaviour·2025

相关实验视频

Updated: Mar 9, 2026

Design and Use of Multiplexed Chemostat Arrays
19:40

Design and Use of Multiplexed Chemostat Arrays

Published on: February 23, 2013

24.0K

在多重网络中建模角色和权衡.

Nikolaos Nakis1, Sune Lehmann2,3, Nicholas A Christakis4

  • 1Human Nature Lab, Yale University, New Haven, CT, USA. nicolaos.nakis@gmail.com.

Nature communications
|March 7, 2026
PubMed
概括

这项研究引入了理解多重社会网络的新模型,揭示了不同的关系如何影响社区结构和社会交流. 这些发现突出了相互依赖如何塑造社会联系,而地位和行为影响健康和经济联系.

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

相关实验视频

Last Updated: Mar 9, 2026

Design and Use of Multiplexed Chemostat Arrays
19:40

Design and Use of Multiplexed Chemostat Arrays

Published on: February 23, 2013

24.0K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

科学领域:

  • 社交网络分析分析
  • 社会学 社会学 社会学
  • 网络科学 网络科学

背景情况:

  • 多重社会网络涉及个人之间的多种关系类型.
  • 了解这些复杂的系统需要考虑不同网络层的不同但互补的角色.
  • 社会交换受个人属性 (独立性),他人的地位 (依赖性) 和相互影响 (相互依赖性) 的影响.

研究的目的:

  • 引入一个新的框架,多重复合潜伏权衡模型 (MLT),用于识别多重复合网络中的角色.
  • 将独立,依赖和相互依赖的概念纳入网络角色识别中.
  • 在现实世界的多重网络中分析社会交换原则和社区结构.

主要方法:

  • 开发了多重隐性权衡模型 (MLT),以表示跨网络层的权衡角色.
  • 应用MLT到176个不同的多重网络,包括来自洪都拉斯西部的社会,健康和经济数据.
  • 利用链接预测分析来评估模型的性能,并确定不同类型的关键驱动因素.

主要成果:

  • MLT成功地确定了社会交流的核心原则,并在分析的网络中揭示了多个规模的社区.
  • 发现相互依赖是改善社会关系预测的最重要因素.
  • 与社会关系相比,个人地位和行为是健康和经济关系的更强有力的预测因素.

结论:

  • MLT框架为理解多重网络中的复杂角色提供了一个强大的方法.
  • 社会交流的动态是多方面的,不同的关系类型是由不同的社会因素驱动的.
  • 网络分析包括相互依赖,依赖和独立,为社会,健康和经济系统提供更深入的见解.