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

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

84
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...
84
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

88
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...
88
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.3K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.3K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

65
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,...
65
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

14
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
14
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

15.6K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
15.6K

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

A Global Intra-city Commuting Origin-Destination Flow Dataset for Urban Sustainable Development.

Scientific data·2026
Same author

Quantifying racial inequality in transit access across New York City.

PNAS nexus·2026
Same author

WorldMove, a global open data for human mobility.

Scientific data·2026
Same author

Artificial intelligence tools expand scientists' impact but contract science's focus.

Nature·2026
Same author

Discovering network dynamics with neural symbolic regression.

Nature computational science·2025
Same author

Publisher Correction: Urban planning in the era of large language models.

Nature computational science·2025

相关实验视频

Updated: May 12, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

432

通过深层次的生成网络,学习城市流动的复杂性.

Yuan Yuan1, Jingtao Ding1, Depeng Jin1

  • 1Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing 100084, P. R. China.

PNAS nexus
|May 7, 2025
PubMed
概括

深度移动 (DeepMobility) 是一种新的深度生成网络,通过整合个人和人口的移动来模拟复杂的城市移动. 它生成现实的合成移动数据,捕捉通用缩放规律并将其推广到新城市.

科学领域:

  • 城市流动动态的动态.
  • 深度学习应用程序深度学习应用程序
  • 社会经济和公共卫生建模.

背景情况:

  • 城市流动性是复杂的,受个人移动,人口流动和城市形式的影响.
  • 现有的模型往往只捕捉到城市流动的有限方面.
  • 弥合微观和宏观层面的动态对于全面理解至关重要.

研究的目的:

  • 推出DeepMobility,这是一个深层次的生成性协作网络,用于统一的城市移动性建模.
  • 通过整合异质的个人和集体行为来生成高准确度的合成移动数据.
  • 克服现有模型在捕捉多方面的城市流动性方面的局限性.

主要方法:

  • 开发了DeepMobility,这是一个新的深度生成协作网络.
  • 通过双向合作,整合微观和宏观层面的动态.
  • 根据中国和塞内加尔城市的流动性数据进行验证.

主要成果:

  • DeepMobility成功地学习了复杂的数据分布,与记住数据的模型不同.
  • 在个人和人口层面上重现人类流动性的普遍缩放规律.
  • 证明了强大的概括,为没有培训数据的城市生成现实的数据.
关键词:
复杂的网络复杂的网络.生成型的深度学习人类流动性 人类流动性城市规划是城市规划.

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

957
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

907

相关实验视频

Last Updated: May 12, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

432
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

957
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

907

结论:

  • 生成型深度学习是可以实现的人类移动机制的建模.
  • 深度移动提供了一个多功能框架,用于生成城市移动数据.
  • 该方法支持可持续发展和宜居城市的发展.