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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

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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...
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Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

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Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
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Reynolds Transport Theorem01:24

Reynolds Transport Theorem

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The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit...
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Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

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When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
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Nonlinear Pharmacokinetics: Role of Transporters01:27

Nonlinear Pharmacokinetics: Role of Transporters

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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.
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相关实验视频

Updated: Jul 25, 2025

Taking Advantage of Reduced Droplet-surface Interaction to Optimize Transport of Bioanalytes in Digital Microfluidics
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Taking Advantage of Reduced Droplet-surface Interaction to Optimize Transport of Bioanalytes in Digital Microfluidics

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优化交通运输的有效分离.

Junqi Wang1, Pei Wang1, Patrick Shafto1,2

  • 1Department of Math & CS, Rutgers University, Newark, NJ 07102, USA.

Entropy (Basel, Switzerland)
|June 28, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种高效的算法,用于连续空间的最佳运输 (OT) 问题. 新方法使用更少的加权点提供了准确的分类,从而降低了复杂计算的计算成本.

关键词:
分密化 (Discretization) 是指对信息进行分密化.的规范化 的规范化梯度下降的降落方式最佳的运输最佳的运输.

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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

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相关实验视频

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Taking Advantage of Reduced Droplet-surface Interaction to Optimize Transport of Bioanalytes in Digital Microfluidics

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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
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科学领域:

  • 计算数学 计算数学 计算数学
  • 优化理论 优化理论
  • 数据科学数据科学数据科学

背景情况:

  • 在连续空间中,最佳运输 (OT) 问题在计算上具有挑战性.
  • 目前使用独立且相同分布 (i.i.d.) 的离散化方法. 采样需要大样本大小,导致高计算成本.
  • 由于密集的计算需求,现有的方法在实际实施中扎.

研究的目的:

  • 开发一种有效的算法,用于计算OT问题中边际分布的离谱化.
  • 通过使用特定数量的加权点来最小化调节的瓦瑟斯坦距离.
  • 为拟议的分密化方法提供性能极限.

主要方法:

  • 提出了一种算法,通过最小化调节的瓦瑟斯坦距离来计算离散.
  • 该方法使用给定的加权点数用于边际分布.
  • 为了实际应用,开发了一个局部的,可并行化的离散化版本.

主要成果:

  • 拟议的离散计划实现了与使用显著更大数量的i.i.d.方法相比的性能. 样品. 样品. 这些样品.
  • 与现有替代方案相比,该算法显示了更好的计算效率.
  • 该方法的有效性通过图像近似任务进行验证.

结论:

  • 开发的算法提供了一个高效和有效的解决方案,用于在连续空间中近似OT问题.
  • 该方法减少了计算负担,使OT解决方案更容易用于实际应用.
  • 本地,可并行版本可促进现实世界的应用,包括图像处理.