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

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

309
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
309
Nonlinear Pharmacokinetics: Causes of Nonlinearity01:22

Nonlinear Pharmacokinetics: Causes of Nonlinearity

718
Nonlinearity in drug pharmacokinetics is caused by various factors influencing how a drug is absorbed, distributed, metabolized, and excreted. Understanding these nonlinear processes is crucial for predicting drug behavior in the body and optimizing drug dosing regimens.
Nonlinear drug absorption can occur when the process is rate-limited by solubility, carrier-mediated transport systems, or saturation of the presystemic gut wall or hepatic metabolism. For instance, high doses of riboflavin...
718
Nonlinear Pharmacokinetics: Overview01:19

Nonlinear Pharmacokinetics: Overview

1.1K
Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
1.1K
Nonlinear Pharmacokinetics: Michaelis-Menten Equation01:18

Nonlinear Pharmacokinetics: Michaelis-Menten Equation

1.1K
The Michaelis–Menten equation is a fundamental model for describing capacity-limited kinetics in drug metabolism. It offers insights into the rate of decline of plasma drug concentration Cp over time, with Vmax and KM as pivotal parameters.
Vmax represents the maximum achievable process rate, while KM, known as the Michaelis constant, signifies the drug concentration at which the process rate reaches half its maximum. This relationship between Vmax, KM, and Cp gives rise to three distinct...
1.1K
Nonlinear Pharmacokinetics: Role of Transporters01:27

Nonlinear Pharmacokinetics: Role of Transporters

286
A drug's nonlinear kinetics can be influenced by a diverse range of transporter proteins that serve as crucial players in drug distribution. These transporters, found within cells, can enhance or reduce local drug concentrations by facilitating the influx or efflux of drugs. For instance, the expression of xenobiotic transporters can be influenced by factors such as age and gender, potentially impacting the linearity of drug response.
Polymorphisms occurring in drug transporters can alter...
286
Wave Parameters01:10

Wave Parameters

9.3K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
9.3K

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 discrete enzyme action optimizer for traveling salesman problems with a smart tourism routing application: a case study in Bitlis, Türkiye.

Scientific reports·2026
Same author

Temperature regulation of a nonlinear CSTR using a global-guided optimization-based PID framework.

Scientific reports·2026
Same author

Comparative evaluation of XGBoost, TabNet, and FT transformer models for fatal crash prediction under extreme class imbalance.

Scientific reports·2026
Same author

Robust Position-Only Null Steering in Linear Antenna Arrays via a Nature-Inspired Optimizer for Wireless Communication.

Biomimetics (Basel, Switzerland)·2026
Same author

Pressure Control of Centrifugal Fan Using Softsign-PI Controller Tuned by Hybrid Starfish Optimization Algorithm with Differential Evolution.

Biomimetics (Basel, Switzerland)·2026
Same author

A Biomimetic Gazelle Optimization Approach for Enhanced Temperature Regulation in Electric Furnaces.

Biomimetics (Basel, Switzerland)·2026

相关实验视频

Updated: Jan 28, 2026

Testing Protozoacidal Activity of Ligand-lytic Peptides Against Termite Gut Protozoa in vitro Protozoa Culture and in vivo Microinjection into Termite Hindgut
17:36

Testing Protozoacidal Activity of Ligand-lytic Peptides Against Termite Gut Protozoa in vitro Protozoa Culture and in vivo Microinjection into Termite Hindgut

Published on: December 29, 2010

15.3K

一个修改的人工原生动物优化器,用于在非线性动态系统中强大的参数识别.

Davut Izci1,2, Serdar Ekinci3, Gökhan Yüksek4

  • 1Department of Electrical and Electronic Engineering, Bursa Uludag University, Bursa 16059, Turkey.

Biomimetics (Basel, Switzerland)
|January 27, 2026
PubMed
概括
此摘要是机器生成的。

一个新的修改的人工原生动物优化器 (mAPO) 增强了复杂动态系统中的参数识别. 它平衡了全球搜索和本地改进,在非线性和混乱系统中提高了准确性和稳定性.

关键词:
纳尔德米德的简单方法.人工原生动物优化器优化器非线性系统是非线性系统.参数识别 参数识别随机学习机制是一种随机学习机制.

更多相关视频

Monitoring of Systemic and Hepatic Hemodynamic Parameters in Mice
16:09

Monitoring of Systemic and Hepatic Hemodynamic Parameters in Mice

Published on: October 4, 2014

17.0K
Concomitant Isolation of Primary Astrocytes and Microglia for Protozoa Parasite Infection
09:34

Concomitant Isolation of Primary Astrocytes and Microglia for Protozoa Parasite Infection

Published on: March 18, 2020

8.1K

相关实验视频

Last Updated: Jan 28, 2026

Testing Protozoacidal Activity of Ligand-lytic Peptides Against Termite Gut Protozoa in vitro Protozoa Culture and in vivo Microinjection into Termite Hindgut
17:36

Testing Protozoacidal Activity of Ligand-lytic Peptides Against Termite Gut Protozoa in vitro Protozoa Culture and in vivo Microinjection into Termite Hindgut

Published on: December 29, 2010

15.3K
Monitoring of Systemic and Hepatic Hemodynamic Parameters in Mice
16:09

Monitoring of Systemic and Hepatic Hemodynamic Parameters in Mice

Published on: October 4, 2014

17.0K
Concomitant Isolation of Primary Astrocytes and Microglia for Protozoa Parasite Infection
09:34

Concomitant Isolation of Primary Astrocytes and Microglia for Protozoa Parasite Infection

Published on: March 18, 2020

8.1K

科学领域:

  • 计算智能是一种计算智能.
  • 优化算法的优化算法
  • 非线性动力学是一种非线性动力学.

背景情况:

  • 在非线性和混乱系统中,准确的参数识别对于建模和控制至关重要.
  • 现有的优化算法难以在复杂的多式联运环境中平衡全球探索和本地改进.
  • 挑战包括高维度和在动态环境中需要强大的解决方案.

研究的目的:

  • 为增强参数识别开发一个修改的人工原生动物优化器 (mAPO).
  • 改善全球搜索能力和优化中的本地精细化.
  • 验证mAPO在基准函数和现实世界非线性系统识别任务中的性能.

主要方法:

  • 通过将概率性随机学习策略和基于简单的Nelder-Mead本地改进阶段集成到原始人工原生动物优化器 (APO) 中,开发了mAPO.
  • 使用CEC2017基准套件评估mAPO,包括转移/旋转,混合和组合功能.
  • 在静态和动态条件下,应用mAPO对罗斯勒混乱系统和永磁同步电机 (PMSM) 的参数识别.

主要成果:

  • mAPO在CEC2017基准套件上表现出改善的平均性能和降低的波动性,表明强化了稳定性.
  • 在非线性系统识别中,mAPO与APO和其他最先进的优化器相比,实现了更小的目标函数值,更准确的参数估计和更高的统计稳定性.
  • 对于PMSM,可以实现准确的参数重建,零误差,并观察到快速和平稳的收.

结论:

  • 拟议的mAPO有效地平衡了全球勘探和本地开发,以便在复杂的非线性和混乱系统中准确识别参数.
  • mAPO提供了增强的稳定性和可扩展性,在基准功能和实际动态系统识别方面表现优于现有的方法.
  • 该算法显示了在动态和时间变化的环境中需要精确参数估计的应用程序的巨大潜力.