2019-20 MATRIX Annals
2019-20 MATRIX Annals
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2019-20 MATRIX 年鉴
DOI：
10.1007/978-3-030-62497-2_13
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Adams J
中科院分区：
文献类型：
--
作者：
Adams J
振荡是整个生命的共同特征，形成了生命系统调节其内部过程和交换信息的关键机制。为了理解这些过程的功能和行为，我们必须理解它们振荡的本质。在现有的物理模型中研究振荡可能很困难，这些模型通过自治微分方程来模拟系统质量的变化。我们讨论了一种替代方法，侧重于振荡过程的阶段，并将时间作为一个关键的考虑因素。我们还将考虑这些理论的应用到细胞能量代谢系统，并提出了一个新的模型，在这种情况下，使用加权非自治仓本振荡器网络。
Oscillations are a common feature throughout life, forming a key mechanism by which living systems can regulate their internal processes and exchange information. To understand the functions and behaviours of these processes, we must understand the nature of their oscillations. Studying oscillations can be difficult within existing physical models that simulate the changes in a system’s masses through autonomous differential equations. We discuss an alternative approach that focuses on the phases of oscillating processes and incorporates time as a key consideration. We will also consider the application of these theories to the cell energy metabolic system, and present a novel model using weighted nonautonomous Kuramoto oscillator networks in this context.