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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

446
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...
446
Detergent Purification of Membrane Proteins01:18

Detergent Purification of Membrane Proteins

5.3K
Detergents are used to purify the integral proteins of the membrane. The hydrophobic portion of the detergent can replace membrane phospholipids while solubilizing the membrane proteins. When detergent monomers reach a specific concentration in a solution called critical micelle concentration (CMC), they form micelles. Above CMC, the concentration of the detergent monomers remains in equilibrium with the micelle. The number of detergent monomers present in the CMC varies for each detergent, and...
5.3K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

947
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...
947
Dialysis01:15

Dialysis

820
Dialysis is a diffusion-based purification process that separates analyte molecules from a complex matrix. This is accomplished by allowing molecules in the solution to pass through a semipermeable membrane into a liquid on the other side. The membrane is usually made of cellulose acetate or cellulose nitrate, and the second liquid must be miscible with the solution. Ions (e.g., chloride or sodium) or organic molecules (e.g., glucose) can pass through the membrane pores, which generally have...
820
Diffusion01:12

Diffusion

200.1K
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...
200.1K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

4.6K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
4.6K

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相关实验视频

Updated: Sep 16, 2025

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints
08:42

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

Published on: August 29, 2014

8.5K

对抗性导向扩散模型用于对抗性净化.

Guang Lin1, Zerui Tao2, Jianhai Zhang3

  • 1Department of Electronic and Information Engineering, Tokyo University of Agriculture and Technology, 184-8588, Tokyo, Japan; RIKEN Center for Advanced Intelligence Project (AIP), 103-0027, Tokyo, Japan.

Neural networks : the official journal of the International Neural Network Society
|July 11, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种对抗指导扩散模型,以改善对抗净化 (AP) 防御. 这种新的方法通过保留语义信息来提高稳定性,同时有效地消除对抗性干扰.

关键词:
对抗性辩护是对抗性的防御.敌对的净化净化方式敌对的强度 敌对的强度扩散模型是一个扩散模型.

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Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain
14:25

Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain

Published on: December 12, 2017

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相关实验视频

Last Updated: Sep 16, 2025

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints
08:42

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

Published on: August 29, 2014

8.5K
Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain
14:25

Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain

Published on: December 12, 2017

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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:

  • 扩散模型 (DM) 为消除威胁提供了强大的对抗性净化 (AP).
  • 现有的方法可能会损害语义信息或保留扰动.
  • 导向扩散技术与可以保留扰动的距离测量作斗争.

研究的目的:

  • 开发一种新的对抗导向扩散模型,用于强大的对抗净化.
  • 在干扰清除过程中增强语义信息的保存.
  • 为了提高基于扩散模型的对抗性净化的整体稳定性.

主要方法:

  • 提出了一个具有新的对抗指导机制的对抗指导扩散模型.
  • 利用一个辅助神经网络,对指导进行敌对训练.
  • 使用隐藏表示的距离尺度,而不是像素级值,作为指导.

主要成果:

  • 在同时维护语义信息和消除对抗性干扰方面表现出有效性.
  • 在现有的基于DM的AP方法的稳定性方面取得了显著的改进.
  • 在CIFAR-10上报告了高达7.30%的平均强大的精度改进.

结论:

  • 提出的对抗性指导有效地平衡了语义维护和扰乱删除.
  • 该方法显著提高了基于扩散模型的对抗性净化性能.
  • 这种方法为加强深度学习模型对抗对方攻击的安全性提供了一个有希望的方向.