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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Microtubules are hollow cylindrical filaments having a diameter of approximately 25 nm and a length that varies from 200 nm to 25 μm. GTP-bound tubulin subunits form αβ-heterodimers for microtubule assembly. These core building blocks interact longitudinally, polymerizing into protofilaments. The protofilaments then interact with one another through lateral bonding forces to form stable cylindrical microtubules. These cylindrical filaments are dynamic as they undergo repeated...
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Actin filaments undergo polymerization and depolymerization from either end. The polymerization and depolymerization rates depend on the cytosolic concentration of free G-actins. The polymerization rate is generally higher at the plus or barbed end, while the depolymerization rate is higher at the minus or pointed end. At a steady state, critical concentration describes the concentration of free G-actin monomers at which the polymerization rate at the plus end is equal to that of the...
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Understanding Cerebellar Pattern Formation
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图灵不稳定性不足以确保模式形成.

Andrew L Krause1, Eamonn A Gaffney2, Thomas Jun Jewell2

  • 1Department of Mathematical Sciences, Durham University, Upper Mountjoy Campus, Stockton Road, Durham, DH1 3LE, UK. andrew.krause@durham.ac.uk.

Bulletin of mathematical biology
|January 22, 2024
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概括

图灵不稳定性可以启动模式形成,但在具有多个稳定状态的系统中不足以维持模式. 需要对复杂生物系统中的自我组织机制进行进一步分析.

关键词:
多稳定性 多稳定性模式形成的形成模式.图灵不稳定性是指图灵的不稳定性

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科学领域:

  • 理论生物学的理论生物学.
  • 数学建模的数学建模
  • 化学动力学 化学动力学

背景情况:

  • 破坏对称性的不稳定性推动了自然界的模式多样性,对细胞信号传递和发育等过程至关重要.
  • 图灵的反应扩散理论和线性稳定性分析是理解自我组织的标准工具.
  • 现有的模型经常假设图灵不稳定性足以形成模式.

研究的目的:

  • 调查图灵不稳定条件是否足以产生稳定的模式.
  • 探索多稳定性和非线性在模式形成中的作用.
  • 质疑线性稳定性分析在复杂生物系统中的预测能力.

主要方法:

  • 对具有轻微多态非线性规范运输模型的分析.
  • 应用线性稳定性分析来确定图灵不稳定性条件.
  • 检查多个稳定的同质平衡系统中的模式动态.

主要成果:

  • 选择的模型满足图灵不稳定条件,但仅表现出短暂的模式.
  • 单独的图灵式不稳定性不足以保证一个稳定的模式状态.
  • 线性理论对模式形成的预测失败在多稳定系统中是强大的.

结论:

  • 存在多个稳定的平衡可能会导致过渡模式,尽管满足图灵不稳定性标准.
  • 对于具有高多稳定性和非线性性的系统,重新思考自我组织机制的分析是必要的.
  • 这挑战了线性稳定性分析在基因调节网络和生态系统等领域的直接应用.