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

Classification of Systems-II01:31

Classification of Systems-II

146
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
146
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

43
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...
43
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

143
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,...
143
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

69
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
69
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
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...
106
Linear time-invariant Systems01:23

Linear time-invariant Systems

261
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
261

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

Incubation Period of Pertussis During a School-based Outbreak, South Korea, 2024.

The Journal of infectious diseases·2026
Same author

Simulating population compliance with pandemic interventions using large language models.

medRxiv : the preprint server for health sciences·2026
Same author

Rural-to-urban migrant worker mobility shaped measles epidemics in China.

PLoS computational biology·2026
Same author

Data assimilation for estimating time-varying reproduction numbers.

Journal of the Royal Society, Interface·2026
Same author

Estimation in Networks with Spatiotemporally Correlated Noise.

IEEE transactions on automatic control·2026
Same author

Reconstructing the early spatial spread of pandemic respiratory viruses in the United States.

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

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jul 5, 2025

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.4K

基于时间演变的代理模型中的系统可识别性.

Tal T Robin1, Jaime Cascante-Vega1, Jeffrey Shaman1,2

  • 1Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America.

PloS one
|January 25, 2024
PubMed
概括
此摘要是机器生成的。

传染病传播的数学模型依赖于准确的参数. 这项研究表明,即使使用先进的推断方法,在医院中传播的抗甲黄金葡萄球菌 (MRSA) 的模型参数也可能无法独特识别,这会影响预测的准确性.

更多相关视频

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.2K
Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research
08:12

Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research

Published on: February 16, 2024

9.3K

相关实验视频

Last Updated: Jul 5, 2025

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.4K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.2K
Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research
08:12

Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research

Published on: February 16, 2024

9.3K

科学领域:

  • 流行病学 流行病学
  • 计算生物学 计算生物学
  • 数学建模的数学建模

背景情况:

  • 数学模型对于预测传染病传播至关重要,但它们的准确性取决于参数估计.
  • 一些模型参数很难直接测量,因此需要使用结论算法与观察数据相结合.
  • 不识别性,即多个参数集同样适合观察到的数据,可能会阻碍模型预测的准确性.

研究的目的:

  • 用网络,基于代理的模型来探索在随机系统中参数不可识别的问题.
  • 评估在医院环境中对抗甲素黄金葡萄球菌 (MRSA) 传播的关键模型参数的识别能力.
  • 调查整合调整卡尔曼波器在推断这些参数方面的有效性.

主要方法:

  • 开发了一个基于代理的网络模型来模拟医院中的MRSA传播.
  • 使用集成调整卡尔曼波器,贝叶斯推理算法,从模拟观测中估计模型参数.
  • 分析合成轨迹以评估参数识别能力和模型推理系统的性能.

主要成果:

  • 整体调整卡尔曼波器趋同,估计参数的模拟与观察结果一致.
  • 尽管趋同,但该研究发现MRSA传播的真实模型参数无法完全识别.
  • 多个参数组合可以同样解释观察到的数据,突出了不可识别性的挑战.

结论:

  • 参数不可识别性可以显著阻碍传染病模型的预测能力,即使推理算法显示与数据良好一致.
  • 虽然推理方法可以限制参数空间,但它们可能无法保证识别唯一的正确参数.
  • 建议分析合成数据并考虑数据处理策略,以改善类似随机系统中的参数识别能力.