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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

93
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...
93
Maximum Power Transfer01:16

Maximum Power Transfer

201
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
201
Network Function of a Circuit01:25

Network Function of a Circuit

251
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.
251
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

7.8K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
7.8K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.7K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.7K
Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)01:22

Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)

1.0K
Vicinal or three-bond coupling is commonly observed between protons attached to adjacent carbons. Here, nuclear spin information is primarily transferred via electron spin interactions between adjacent C‑H bond orbitals. This generally favors the antiparallel arrangement of spins, so 3J values are usually positive.
The extent of coupling depends on the C‑C bond length, the two H‑C‑C angles, any electron-withdrawing substituents, and the dihedral angle between the...
1.0K

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 Serum AKR1B10 in Early-Stage and AFP-Negative Hepatocellular Carcinoma: A Multicentre Study.

Liver international : official journal of the International Association for the Study of the Liver·2026
Same author

Irritable bowel syndrome subtype predicts treatment response and defines distinct mechanistic phenotypes in OAB-IBS comorbidity: a prospective observational study.

World journal of urology·2026
Same author

Multi-omics and machine learning-based exploration of key genes associated with abdominal aortic aneurysm.

Frontiers in molecular biosciences·2026
Same author

Machine-learning identified suicide risk and emergency department inpatient admission.

General hospital psychiatry·2026
Same author

Intestinal perforation secondary to ingested chicken bone: case report and literature review.

Frontiers in surgery·2026
Same author

CO<sub>2</sub>-Induced Reverse Lattice Oxygen Spillover on Pt/CeO<sub>2</sub> Enables Sulfur-Resistant Dry Reforming of Methane.

Angewandte Chemie (International ed. in English)·2026

相关实验视频

Updated: May 22, 2025

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

8.8K

在基于自适应合度的多层网络中影响最大化.

Su-Su Zhang1, Ming Xie1, Chuang Liu1

  • 1Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou 311121, China.

Chaos (Woodbury, N.Y.)
|March 14, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了在多层网络中影响最大化 (IM) 的新方法. 适应性合度 (ACD) 算法有效地识别关键节点,在相互连接的层中传播信息.

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

967
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

9.8K

相关实验视频

Last Updated: May 22, 2025

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

8.8K
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

967
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

9.8K

科学领域:

  • 网络科学 网络科学
  • 计算机科学 计算机科学
  • 数据科学数据科学数据科学

背景情况:

  • 影响力最大化 (IM) 传统上专注于单层网络.
  • 多层网络具有复杂的合结构,在以前的IM研究中经常被忽视.
  • 了解相互连接层中的影响传播对于现代网络分析至关重要.

研究的目的:

  • 为应对多层网络影响力最大化的挑战.
  • 为IM在多层设置中提出一种新型模型和启发式算法.
  • 与现有方法相比,评估拟议方法的有效性.

主要方法:

  • 引入了多层独立级联 (MIC) 模型,用于跨网络层同时传播.
  • 开发了适应性合度 (ACD) 启发式算法用于种子节点选择.
  • 在合成和现实世界的多层网络上进行了实验,以验证该方法.

主要成果:

  • 与基线方法相比,拟议的MIC模型和ACD算法在影响扩散方面表现优越.
  • ACD算法在时间成本方面显示出效率.
  • 实验结果在各种网络结构中一致.

结论:

  • 拟议的MIC模型和ACD算法为多层网络中的影响最大化提供了有效的解决方案.
  • 该研究强调了考虑网络合结构对于准确的IM的重要性.
  • 这些发现为网络分析和信息传播研究做出了宝贵的贡献.