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相关概念视频

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

143
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
143
Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

79
Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...
79
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

54
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...
54
Three-Compartment Open Model01:06

Three-Compartment Open Model

210
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
210
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

5.8K
Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
5.8K
Bulk Modulus01:21

Bulk Modulus

309
The bulk modulus is a scientific term used to describe a material's resistance to uniform compression. It is the proportionality constant that links a change in pressure to the resulting relative volume change.
309

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相关实验视频

Updated: Jul 1, 2025

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
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High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

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CMaize:从构建开始简化包间的模块化.

Zachery Crandall1,2, Theresa L Windus1,2, Ryan M Richard1,2

  • 1Chemical and Biological Sciences, Ames National Laboratory, Ames, Iowa 50011, USA.

The Journal of chemical physics
|March 6, 2024
PubMed
概括
此摘要是机器生成的。

CMaize简化了为化学软件模块创建强大的CMake构建系统. 该工具通过简化C/C++科学软件开发的构建过程来增强包间的模块化.

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相关实验视频

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High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
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科学领域:

  • 计算化学的计算化学
  • 软件工程 软件工程 软件工程

背景情况:

  • 在化学软件中,对包间模块化的需求越来越大.
  • 构建和维护C/C++科学软件构建系统的挑战.
  • 需要跨不同模块的二进制互操作性.

研究的目的:

  • 为了简化创建强大的基于CMake的构建系统.
  • 为了解决化学软件的包间构建中的复杂性.
  • 引入CMaize作为构建系统开发的解决方案.

主要方法:

  • 开发CMaize,这是一个抽象化CMake功能工具.
  • 专注于简化构建系统的维护和稳定性.
  • 在生产级软件中展示CMaize.

主要成果:

  • CMaize显著简化了编写CMake构建系统的过程.
  • 该工具促进了包间的模块化和二进制文物互操作性.
  • 在生产环境中成功应用了CMaize.

结论:

  • CMaize有效地解决了CMake构建系统开发的挑战.
  • 该工具促进代码的重复使用和化学软件的互操作性.
  • CMaize为科学软件构建自动化提供了一个实用的解决方案.