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

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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

79
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...
79
Morphogenesis02:19

Morphogenesis

28.3K
Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
28.3K
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

112
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
112
Modeling and Similitude01:12

Modeling and Similitude

288
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
288
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

73
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
73
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
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...
64

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

Harnessing NCX-IP <sub>3</sub> R-dependent Calcium Oscillations to Regulate Angiogenic Signaling in Endothelial Cells.

bioRxiv : the preprint server for biology·2026
Same author

Longitudinal Characterization of Compound Action Potentials in Chronic Vagus Nerve Recordings in Mice.

International journal of neural systems·2026
Same author

Local traveling waves of cytosolic Ca<sup>2+</sup> elicited by defense signals or wounding are propagated by distinct mechanisms in <i>Arabidopsis</i>.

Science signaling·2025
Same author

Rules of life at the interface of calcium signaling and mechanobiology.

APL bioengineering·2025
Same author

DYRK1A in the physiology and pathology of the neuron-astrocyte axis.

Frontiers in neuroscience·2025
Same author

Gα<sub>q</sub> controls organ size and developmental timing in Drosophila.

Cell communication and signaling : CCS·2025
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
Same journal

When does additional information improve accuracy of RNA secondary structure prediction?

bioRxiv : the preprint server for biology·2026
Same journal

Normative brain-state trajectories reveal deviation from healthy aging in Alzheimer's disease.

bioRxiv : the preprint server for biology·2026
Same journal

Noradrenergic infraslow rhythm during sleep is the critical link between heart-rate dynamics and memory consolidation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jul 17, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K

通过对基于物理模型的贝叶斯优化来逆向工程形态生成.

Nilay Kumar, Alexander Dowling, Jeremiah Zartman

    bioRxiv : the preprint server for biology
    |September 4, 2023
    PubMed
    概括
    此摘要是机器生成的。

    我们使用高斯过程回归 (GPR) 开发了一个贝叶斯优化框架,通过从成像数据推断细胞力分布来预测器官形状. 这种方法成功逆向工程形态发生并确定影响器官发育的关键机械因素.

    科学领域:

    • 发展生物学 发展生物学
    • 系统生物学 系统生物学
    • 计算生物学 计算生物学

    更多相关视频

    3D Modeling of Dendritic Spines with Synaptic Plasticity
    07:13

    3D Modeling of Dendritic Spines with Synaptic Plasticity

    Published on: May 18, 2020

    6.9K
    Building Finite Element Models to Investigate Zebrafish Jaw Biomechanics
    14:11

    Building Finite Element Models to Investigate Zebrafish Jaw Biomechanics

    Published on: December 3, 2016

    10.0K

    相关实验视频

    Last Updated: Jul 17, 2025

    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
    09:32

    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

    Published on: April 11, 2018

    9.8K
    3D Modeling of Dendritic Spines with Synaptic Plasticity
    07:13

    3D Modeling of Dendritic Spines with Synaptic Plasticity

    Published on: May 18, 2020

    6.9K
    Building Finite Element Models to Investigate Zebrafish Jaw Biomechanics
    14:11

    Building Finite Element Models to Investigate Zebrafish Jaw Biomechanics

    Published on: December 3, 2016

    10.0K

    背景情况:

    • 器官的形状和大小由复杂的细胞信号和机械相互作用来决定.
    • 预测器官生成需要了解细胞内和细胞间的力量,但校准基于物理的模型是具有挑战性的.
    • 系统和合成生物学旨在确定器官发育的最佳相互作用.

    结论:

    • 该框架准确地从成像数据中逆向工程器官形态发生.
    • 它提供了关于表皮细胞发育和疾病的机械基础的见解.
    • 该方法可扩展到任何器官系统,适用于实时控制多细胞系统.