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相关概念视频

Tumor Progression02:07

Tumor Progression

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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
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Actin Treadmilling01:18

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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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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Entropy Change in Reversible Processes01:10

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
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在NK跑步机模型的持续进化.

Priyanka Mehra1, Arend Hintze2,3

  • 1Dalarna University Department for MicroData Analytics, Institute for Information and Technology.

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概括
此摘要是机器生成的。

在不断变化的环境中研究了进化动态,使用了一种新的NK健身景观模型. 快速的环境变化,如高表达性,可以阻止适应,在静态模型中反映复杂性灾难.

关键词:
健身的格局 健身景观一个动态的景观.经验是指一种经验.类型的类型.坚固性 坚固性 坚固性速度的速度是速度的速度.

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科学领域:

  • 进化生物学是进化的生物学.
  • 计算生物学是一种计算生物学.
  • 理论生态学的理论生态学.

背景情况:

  • NK健身景观模型对于研究进化动态至关重要.
  • 静态NK模型有其局限性:对于小基因组来说,固定的环境和短的观察期是有限的.

研究的目的:

  • 引入一个动态的NK健身景观模型,允许独立控制环境变化速度.
  • 研究景观动态对进化轨迹的影响,并与静态模型进行比较.

主要方法:

  • 开发了一个扩展的NK健身景观模型,具有可调节的环境变化速度.
  • 在不同的景观速度,崎性和突变率下模拟进化动态.

主要成果:

  • 当环境变化太快,停止适应时,就会发生"复杂性灾难".
  • 这种动态的灾难反映了静态模型中的进化停止,这些模型具有很高的表现性.
  • 扩展模型保留了静态NK景观的关键属性,以便进行有效的比较.

结论:

  • 动态的NK健身景观为进化研究提供了更现实的框架.
  • 快速的环境变化是限制进化适应的一个重要因素.
  • 该模型提供了一个工具来探索景观稳定性和进化潜力之间的相互作用.