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相关概念视频

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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

390
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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Diffusion01:21

Diffusion

6.8K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.8K
Diffusion01:12

Diffusion

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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
223.3K
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.5K
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
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Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.9K
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

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Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
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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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超越散热:优化频域中的扩散模型.

Qisen Wang, Yifan Zhao, Jia Li

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    此摘要是机器生成的。

    本研究介绍了频率诱导偏差引导优化 (FIBBO) 方法,以增强通用扩散模型. 在训练期间,FIBBO通过自适应地调整频率降解来提高图像生成质量.

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    科学领域:

    • 人工智能的人工智能
    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 标准扩散模型经常使用像素智能的降解,忽视图像的多尺度特征.
    • 具有正半确定性降解 (PSD) 的通用扩散模型解决了这一问题,但由于固定的诱导偏差和不完整的优化分析,面临生成质量问题.

    研究的目的:

    • 为基于PSD的通用扩散模型提供频域优化过程的全面理论分析.
    • 提出一种新的方法,解决现有模型中手工制作和固定感应偏差的局限性.

    主要方法:

    • 开发了基于PSD的通用扩散模型的频域优化的理论分析.
    • 提出了频率诱导偏差引导优化 (FIBBO) 方法.
    • 在训练过程中,FIBBO对前进过程进行参数化,并通过适应性修改非同位素高斯核.

    主要成果:

    • 证明PSD模型的前进过程隐含地影响反向过程优化中的诱导偏差.
    • FIBBO使得人们能够反复地学习不同的频率降解-生成轨迹.
    • 实验表明,基于PSD的通用扩散模型的生成质量得到了显著改善.

    结论:

    • 在基于PSD的扩散模型中,FIBBO有效地解决了手工制作和固定感应偏差的局限性.
    • 由于FIBBO的自适应性,可以在不同的数据分布中提高模型的性能.
    • 拟议的方法为改善通用扩散模型提供了一个有希望的方向.