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

Ecological Disturbance02:26

Ecological Disturbance

16.9K
An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.
16.9K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

58
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
58
Energy Budgets00:51

Energy Budgets

9.1K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
9.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

19
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...
19
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

34
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
34
Second Order systems II01:18

Second Order systems II

73
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
73

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

Multiscale integration of tissue and chromatin context converts cell heterogeneity into stable intestinal patterning.

Cell·2026
Same author

Interpretable decoding of cell fate from a snapshot of combinatorial signaling.

bioRxiv : the preprint server for biology·2026
Same author

Predator Presence Influences The Geometry of Rosy Starling Flocks.

Integrative and comparative biology·2026
Same author

Flocking by stopping: A mechanism of emergent order in collective movement.

Physical review. E·2026
Same author

Bottleneck size drives the evolution of cooperative traits in an aggregative multicellular myxobacterium.

PLoS biology·2026
Same author

From models to molecules: self-organized and instructed modes of developmental patterning.

Nature reviews. Genetics·2026

相关实验视频

Updated: May 17, 2025

Sealable Femtoliter Chamber Arrays for Cell-free Biology
13:44

Sealable Femtoliter Chamber Arrays for Cell-free Biology

Published on: March 11, 2015

9.4K

从生态时间序列数据中发现随机动态方程.

Arshed Nabeel, Ashwin Karichannavar, Shuaib Palathingal

    The American naturalist
    |April 3, 2025
    PubMed
    概括

    科学家们开发了一种新方法,从数据中发现底层的随机方程. 这种方法准确地推断出系统动态和稳定性,即使模型产生类似的结果,推进生态和生物数据分析.

    科学领域:

    • 生态生态学 生态生态学
    • 动态系统 动态系统
    • 数据科学数据科学数据科学

    背景情况:

    • 随机性可以以复杂的方式影响生态系统动态.
    • 从数据中推断治理方程对于理解这些效应至关重要.
    • 现有的方法在没有已知的方程的情况下努力识别随机影响.

    研究的目的:

    • 介绍一种用于从时间序列数据中发现随机微分方程的新方法.
    • 证明推断潜在系统动态和稳定性结构的能力.
    • 将该方法应用于各种现实世界数据集.

    主要方法:

    • 将随机微积分与方程发现技术相结合.
    • 输入状态变量的时间序列数据以输出随机微分方程.
    • 在合成模型上验证该方法,这些模型具有相同的稳定状态分布,但不同的控制方程.

    主要成果:

    • 从时间序列数据中成功恢复正确的基本方程,即使对于具有类似稳定状态分布的模型.
    • 证明了系统稳定性结构的准确推断.
    • 将该方法应用于鱼类学校和单细胞迁移的现实世界数据集.

    结论:

    关键词:
    兰格温的动态学数据驱动的动态系统数据驱动的动态系统数据驱动的模型发现.中间规模动力学噪音引起的秩序科学机器学习的科学机器学习

    更多相关视频

    Resurrection of Dormant Daphnia magna: Protocol and Applications
    07:37

    Resurrection of Dormant Daphnia magna: Protocol and Applications

    Published on: January 19, 2018

    18.2K
    Following the Dynamics of Structural Variants in Experimentally Evolved Populations
    04:52

    Following the Dynamics of Structural Variants in Experimentally Evolved Populations

    Published on: February 3, 2023

    900

    相关实验视频

    Last Updated: May 17, 2025

    Sealable Femtoliter Chamber Arrays for Cell-free Biology
    13:44

    Sealable Femtoliter Chamber Arrays for Cell-free Biology

    Published on: March 11, 2015

    9.4K
    Resurrection of Dormant Daphnia magna: Protocol and Applications
    07:37

    Resurrection of Dormant Daphnia magna: Protocol and Applications

    Published on: January 19, 2018

    18.2K
    Following the Dynamics of Structural Variants in Experimentally Evolved Populations
    04:52

    Following the Dynamics of Structural Variants in Experimentally Evolved Populations

    Published on: February 3, 2023

    900
    • 开发的方程发现方法有效地从数据中推断出随机微分方程.
    • 该方法提供了对各种规模的系统稳定性和动态的见解.
    • 为更广泛的应用提供了一个开源包,PyDaDDy.