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Related Concept Videos

Pharmacodynamic Models: Linear Concentration–Effect Model01:15

Pharmacodynamic Models: Linear Concentration–Effect Model

The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing drug...
Laminar Flow: Problem Solving01:24

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Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower indicates...
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The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
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Related Experiment Video

Updated: Jun 8, 2026

A Microfluidic Model of Biomimetically Breathing Pulmonary Acinar Airways
09:39

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Published on: May 9, 2016

A simplified building airflow model for agent concentration prediction.

David R Jacques1, David A Smith

  • 1Peerless Technologies, Fairborn, Ohio, USA. drjengr@aol.com

Journal of Occupational and Environmental Hygiene
|October 7, 2010
PubMed
Summary
This summary is machine-generated.

A simplified building airflow model predicts contaminant spread from attacks. This linear time-invariant (LTI) model aids sensor placement by estimating agent concentration under average conditions.

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Area of Science:

  • Environmental Engineering
  • Building Science
  • Computational Fluid Dynamics

Background:

  • Accurate prediction of contaminant spread in buildings is crucial for public safety.
  • Existing models can be complex and computationally intensive.
  • Need for a simplified model for rapid assessment.

Purpose of the Study:

  • To develop a simplified building airflow model for contaminant spread prediction.
  • To enable rapid concentration predictions for sensor placement strategies.
  • To provide a tool accessible to building managers.

Main Methods:

  • Construction of a linear time-invariant (LTI) model based on steady-state air-handling systems.
  • Utilizing building manager accessible information and standard design practices.
  • Comparison with a popular multi-zone model for validation.

Main Results:

  • The LTI model effectively predicts contaminant concentration under average daily conditions.
  • Demonstrated applicability for buildings with single or multiple air-handling systems.
  • Model provides suitable predictions despite not capturing all environmental effects.

Conclusions:

  • The simplified LTI model offers a practical approach for predicting contaminant transport.
  • Facilitates cost-effective strategies for deploying chemical and biological detection sensors.
  • A valuable tool for emergency preparedness and building safety assessments.