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相关概念视频

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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
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...
81
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

65
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...
65
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

732
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
732
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

557
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
557
Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

522
Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...
522
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

345
Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
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对交互极值问题的精确解决方案:纯缺陷模型.

P L Leath1, P M Duxbury2

  • 1Department of Physics and Astronomy, Rutgers University, Piscataway, NJ 08855-0849.

Journal of research of the National Institute of Standards and Technology
|July 5, 2023
PubMed
概括

研究人员开发了一种新的亚静态矩阵方法,以准确分析复合材料中的局部负载共享. 这一突破为光纤捆绑模型中的材料故障统计和尺寸效应提供了准确的预测.

科学领域:

  • 材料科学 材料科学 材料科学
  • 统计力学 统计力学
  • 固体力学 固体力学是什么

背景情况:

  • 简单的模型对于分析复杂微观结构中的机械故障至关重要.
  • 精确分析材料中故障区域附近的局部负载增强是具有挑战性的.

研究的目的:

  • 为更简单的本地负载共享模型提供精确的分析解决方案.
  • 分析局部负载共享的稀释纤维束模型中的尺寸效应和断裂统计.

主要方法:

  • 开发和应用一个亚随机矩阵方法.
  • 对于子随机矩阵的特征方程的紧表达式的导出.
  • 获得最大自值的非对称扩张.

主要成果:

  • 对于某些局部负载共享模型,现在可以提供准确的解决方案.
  • 该方法在光纤捆绑模型中产生尺寸效应和统计数据的非对称行为.
  • 之前开发的缩放分析可以捕获准确结果的关键特征.

结论:

  • 亚静态矩阵方法为材料中的局部负载共享提供了准确的分析方法.
  • 在这些模型中,Gumbel分布被发现不适合骨折统计数据.
关键词:
极值分布的极值分布是什么扩展分析分析扩展分析骨折中的尺寸效应

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  • 这项研究提供了关于骨折统计数据不一致的物理起源的见解.