Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

155
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
155
Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

132
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...
132
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

126
Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's...
126
Modeling in Therapy01:26

Modeling in Therapy

158
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
158
Typical Model Studies01:30

Typical Model Studies

449
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
449
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

105
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
105

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

How light and aggregate size shape oxygen profiles in photogranules.

Bioresource technology·2026
Same author

A modeling perspective on biofilm formation in granular activated carbon filters - local promotion of autotrophic microorganisms due to the effects of adsorption processes on the availability of organic substrates.

Water research·2026
Same author

Modeling interactions between the adsorption of dissolved organic carbon and biological activity on granular activated carbon.

Water research·2025
Same author

Diffusion-based mechanism explains spatial organization in cross-feeding biofilms.

NPJ biofilms and microbiomes·2025
Same author

Differential ion transport and biomass charges create strong electric fields in anammox granules.

Water research·2025
Same author

Efficiency and process development for microbial biomass production using oxic bioelectrosynthesis.

Trends in biotechnology·2024

Related Experiment Video

Updated: Sep 22, 2025

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
07:57

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision

Published on: April 29, 2014

13.5K

No model is perfect, but some are useful.

Irina D Ofițeru1, Cristian Picioreanu2

  • 1School of Engineering, Newcastle University, Merz Court, Newcastle upon Tyne NE1 7RU, UK.

Science (New York, N.Y.)
|May 26, 2022
PubMed
Summary

An agent-based model can guide strategies to reduce harmful algal blooms in Lake Erie. This approach helps create effective action plans for Lake Erie

More Related Videos

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
08:32

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Published on: October 20, 2023

3.1K
Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.8K

Related Experiment Videos

Last Updated: Sep 22, 2025

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
07:57

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision

Published on: April 29, 2014

13.5K
Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
08:32

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Published on: October 20, 2023

3.1K
Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.8K

Area of Science:

  • Environmental Science
  • Ecology
  • Computational Modeling

Background:

  • Harmful algal blooms (HABs) pose a significant threat to the ecological health and water quality of Lake Erie.
  • Effective management strategies are crucial to mitigate the impacts of these blooms.

Purpose of the Study:

  • To demonstrate how an agent-based model can inform the development of targeted action plans for curbing algal blooms in Lake Erie.
  • To provide a framework for utilizing simulation modeling in environmental management.

Main Methods:

  • Development and application of an agent-based model (ABM) simulating key ecological and behavioral factors contributing to algal blooms.
  • Analysis of model outputs to identify critical intervention points and assess the potential effectiveness of different management strategies.

Main Results:

  • The agent-based model provides insights into the complex dynamics driving algal bloom formation and persistence.
  • Simulation results highlight specific actions and policy interventions that are predicted to be most effective in reducing bloom severity and frequency.

Conclusions:

  • Agent-based modeling is a valuable tool for informing evidence-based action plans to combat Lake Erie's algal blooms.
  • Integrating simulation modeling into water resource management can lead to more effective and sustainable solutions for ecosystem health.