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相关概念视频

Euler Equations of Motion01:19

Euler Equations of Motion

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Imagine a rigid body that is rotating at an angular velocity of ω within an inertial frame of reference. Along with this, picture a second rotating frame that is attached to the body itself. This frame moves along with the body and possesses an angular velocity of Ω. The total moment about the center of mass is calculated by adding the rate of change of angular momentum about the center of mass in relation to the rotating frame and the cross-product of the body's angular velocity...
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Euler's Equations of Motion01:28

Euler's Equations of Motion

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In fluid mechanics, shear stresses arise from viscosity, which represents a fluid's internal resistance to deformation. For low-viscosity fluids, like water, these stresses are minimal, simplifying flow analysis by allowing the fluid to be treated as inviscid, or frictionless. In an inviscid fluid, shear stresses are absent, leaving only normal stresses, which act perpendicularly to fluid elements. Notably, pressure — defined as the negative of the normal stress — remains...
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Mutation, Gene Flow, and Genetic Drift01:09

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Differential Form of Maxwell's Equations01:17

Differential Form of Maxwell's Equations

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James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...
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Population Growth

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Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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一个数学框架,用于 evo-devo 动力学.

Mauricio González-Forero1

  • 1School of Biology, University of St Andrews, Dyers Brae, St Andrews, KY16 9TH, Fife, UK.

Theoretical population biology
|December 3, 2023
PubMed
概括
此摘要是机器生成的。

发展通过塑造遗传约束和进化路径,对进化产生重大影响. 这项研究引入了一个新的框架,表明进化结果是由选择和发展共同决定的,而不仅仅是选择.

关键词:
适应性动力学是适应性的.发展上的限制 发展上的限制进化的动力学.遗传上的限制 遗传上的限制生命史理论是生命史的理论.矩阵人口模型.

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科学领域:

  • 进化生物学是进化的生物学.
  • 发育生物学是发展生物学.
  • 数学建模的数学建模

背景情况:

  • 自然选择对随着时间的推移而形成的表型起作用.
  • 了解发展如何影响进化和遗传约束至关重要.
  • 以前的理论争论遗传约束是相对的还是绝对的.

研究的目的:

  • 开发一个数学框架,整合年龄的进展,发展和进化动态.
  • 描述进化和发展 (evo-devo) 的动态.
  • 为了澄清长期表型进化的遗传约束的性质.

主要方法:

  • 制定了一个通用的,可处理的数学框架,用于evo-devo动力学.
  • 综合的年龄进展,明确的发展和进化动态.
  • 从五个核心组件开发了一个分层结构 (evo-devo过程).

主要成果:

  • 框架产生了简单的方程,描述了基因共变性和进化-演化动态.
  • 基因型和表型进化必须在"基因-表型"空间同时跟踪.
  • 基因-表型空间中的遗传约束是绝对的,这是由于发展.
  • 进化平衡是非标准的,取决于遗传共变性和发育约束.
  • 进化结果并不总是与健身景观的峰值保持一致.

结论:

  • 发展具有重要的进化效应,与选择共同定义结果.
  • 发育约束决定了允许的进化路径.
  • 该框架为分析发育结构性特征的进化动态提供了新的方法.