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相关概念视频

Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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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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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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Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

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Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
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Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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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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Capillarity in Fluid01:19

Capillarity in Fluid

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Capillarity describes the movement of liquid in small spaces without external forces acting on it. The capillarity is driven by surface tension and adhesive interactions between the liquid and surrounding solid surfaces. This effect is often seen in narrow tubes, porous materials, and fine particles.
Surface tension is crucial to capillarity. It results from cohesive forces between liquid molecules at the liquid-air boundary, forming a skin that resists external forces. When the capillary tube...
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Coprecipitation is the contamination of a precipitate by otherwise soluble species and occurs via different processes. In colloidal precipitates, coprecipitation occurs via surface adsorption. For instance, barium sulfate has a primary layer of adsorbed barium ions and a secondary layer of nitrate counterions. This results in contamination of the precipitate by barium nitrate.
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
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Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
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在超图上透的理论.

Ginestra Bianconi1,2, Sergey N Dorogovtsev3,4

  • 1School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.

Physical review. E
|February 17, 2024
PubMed
概括

超图的稳定性需要超图的透,而不是因子图的透,对于任何节点被删除时相互作用失败的系统. 这种新方法揭示了不同的值,并限制了复杂网络中的超弹性.

科学领域:

  • 复杂系统科学 复杂系统科学
  • 网络科学 网络科学
  • 统计物理 统计物理

背景情况:

  • 超图模型是复杂系统中高阶相互作用的模型,通常用因子图来表示.
  • 现有的稳定性研究使用因子图的透,这对于在节点移除后发生超边缘故障的系统是不够的.

研究的目的:

  • 引入和发展超图透作为分析特定复杂系统稳健性的正确框架.
  • 区分超图透与因子图透,并探讨其影响.

主要方法:

  • 开发了一个信息传递理论,用于超图的透.
  • 使用生成函数形式主义研究了批判性行为.
  • 在随机和现实世界的网络数据上执行蒙特卡洛模拟.

主要成果:

  • 超图的节点透值比因子图的高.
  • 与普通图形不同,节点和超边缘透值在超图形上不同,节点值较高.
  • 脂肪尾 hyperedge 枢纽分布不会诱导超图中的超弹性,与因子图不同.

结论:

  • 超图的透对于准确评估供应链和生物网络等系统的稳定性至关重要.

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  • 超图上明显的透值对网络弹性和设计有重大影响.
  • 在因子图中观察到的超弹性现象在超图中没有复制,这是由于它们的透动态的差异.