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Related Concept Videos

Diffusion01:12

Diffusion

231.8K
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...
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Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

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Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
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Diffusion01:21

Diffusion

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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...
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Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

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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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Facilitated Diffusion01:16

Facilitated Diffusion

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The plasma membrane, a critical structure in cellular biology, houses an array of transporters, or carrier proteins, interspersed within its lipid bilayer. These proteins play a crucial role in solute transport through facilitated diffusion, a form of passive diffusion that uses transporters to move the molecules across the membrane.
In this process, substrates such as organic compounds and ions interact with a transporter on one side, triggering conformational changes in proteins that enable...
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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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Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT
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Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices.

Zhiyuan Ma, Yuzhu Zhang, Guoli Jia

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |May 14, 2025
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    Summary
    This summary is machine-generated.

    This survey reviews diffusion models, highlighting their success in generative tasks through efficient design and methodologies. It offers an efficiency-oriented perspective to guide future research and applications.

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    Area of Science:

    • Artificial Intelligence
    • Machine Learning
    • Computer Vision

    Background:

    • Diffusion models are highly popular generative models with proven success in diverse tasks like image synthesis and bioinformatics.
    • Their effectiveness stems from progressive design principles and efficient methodologies for architecture, training, inference, and deployment.
    • A comprehensive review summarizing these principles and practices is lacking, hindering rapid understanding and application.

    Purpose of the Study:

    • To provide a comprehensive, efficiency-oriented review of diffusion models.
    • To summarize profound principles and efficient practices in diffusion model architecture, training, inference, and deployment.
    • To guide future research, algorithm migration, and model application in new scenarios.

    Main Methods:

    • A survey-based approach focusing on efficiency.
    • Analysis of existing literature on diffusion model principles and practices.
    • Categorization of methodologies related to architecture, training, inference, and deployment.

    Main Results:

    • Identification of key design principles contributing to diffusion model success.
    • Summary of efficient methodologies for training, inference, and deployment.
    • A structured overview from an efficiency-focused perspective.

    Conclusions:

    • The survey offers a reader-friendly guide to diffusion models, emphasizing efficiency.
    • It aims to facilitate deeper understanding and broader application of these generative models.
    • The findings are intended to support further theoretical research and practical implementation.