Suppr超能文献

生命组织不同层次上动力系统的描述性建模及反馈稳态的确定

Descriptive Modeling of the Dynamical Systems and Determination of Feedback Homeostasis at Different Levels of Life Organization.

作者信息

Zholtkevych G N, Nosov K V, Bespalov Yu G, Rak L I, Abhishek M, Vysotskaya E V

机构信息

V. N. Karazin Kharkiv National University, Svobody sqr., 4, Kharkiv, 61077, Ukraine.

Robert Gordon University, Aberdeen, AB115AP, UK.

出版信息

Acta Biotheor. 2018 Sep;66(3):177-199. doi: 10.1007/s10441-018-9321-3. Epub 2018 May 24.

Abstract

The state-of-art research in the field of life's organization confronts the need to investigate a number of interacting components, their properties and conditions of sustainable behaviour within a natural system. In biology, ecology and life sciences, the performance of such stable system is usually related to homeostasis, a property of the system to actively regulate its state within a certain allowable limits. In our previous work, we proposed a deterministic model for systems' homeostasis. The model was based on dynamical system's theory and pairwise relationships of competition, amensalism and antagonism taken from theoretical biology and ecology. However, the present paper proposes a different dimension to our previous results based on the same model. In this paper, we introduce the influence of inter-component relationships in a system, wherein the impact is characterized by direction (neutral, positive, or negative) as well as its (absolute) value, or strength. This makes the model stochastic which, in our opinion, is more consistent with real-world elements affected by various random factors. The case study includes two examples from areas of hydrobiology and medicine. The models acquired for these cases enabled us to propose a convincing explanation for corresponding phenomena identified by different types of natural systems.

摘要

生命组织领域的前沿研究面临着研究多个相互作用的组成部分、它们的特性以及在自然系统中可持续行为条件的需求。在生物学、生态学和生命科学中,这种稳定系统的性能通常与稳态相关,稳态是系统在一定允许范围内主动调节其状态的一种特性。在我们之前的工作中,我们提出了一个系统稳态的确定性模型。该模型基于动力系统理论以及从理论生物学和生态学中获取的竞争、偏害共生和拮抗的成对关系。然而,本文基于相同模型对我们之前的结果提出了不同的维度。在本文中,我们引入了系统中组件间关系的影响,其中这种影响由方向(中性、正向或负向)及其(绝对)值或强度来表征。这使得模型具有随机性,我们认为这与受各种随机因素影响的现实世界元素更一致。案例研究包括来自水生生物学和医学领域的两个例子。针对这些案例所获得的模型使我们能够对不同类型自然系统所识别的相应现象提出有说服力的解释。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验