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

Models, Theories, and Laws01:16

Models, Theories, and Laws

8.2K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
8.2K
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.7K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.7K
Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

259
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...
259
Data Collection by Observations01:08

Data Collection by Observations

14.3K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
14.3K
Data Collection by Experiments01:13

Data Collection by Experiments

26.8K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
26.8K
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

6.8K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
6.8K

You might also read

Related Articles

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

Sort by
Same author

Network-driven discovery of repurposable drugs targeting hallmarks of aging.

Nature aging·2026
Same author

Transferable human mobility network reconstruction with neuroGravity.

Nature computational science·2026
Same author

The aging genome exhibits organized vulnerability to somatic mutations.

bioRxiv : the preprint server for biology·2026
Same author

Quantifying racial inequality in transit access across New York City.

PNAS nexus·2026
Same author

Hungary's chance to rebuild science.

Science (New York, N.Y.)·2026
Same author

Human mobility in the metaverse mirrors patterns in the physical world.

Scientific reports·2026
Same journal

Simple input-output dependencies explain neuronal activity.

Nature physics·2026
Same journal

Scaling and self-similarity in the formation of the embryonic epigenome.

Nature physics·2026
Same journal

Adhesion-driven rigidity transition decoupled from density-driven jamming triggers epithelial organization in embryonic tissues.

Nature physics·2026
Same journal

The local mechanostructural properties of protein cargoes regulate nucleocytoplasmic transport.

Nature physics·2026
Same journal

Squeezing, trisqueezing and quadsqueezing in a hybrid oscillator-spin system.

Nature physics·2026
Same journal

Noise-induced shallow circuits and the absence of barren plateaus.

Nature physics·2026
See all related articles

Related Experiment Video

Updated: Dec 25, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.1K

From data to models.

Marta C González1, Albert-László Barabási1

  • 1Department of Physics and Computer Sciences, Marta C. González and Albert-László Barabási are at the Center of Complex Network Research, University of Notre Dame, Notre Dame, Indiana 46556, USA.,.

Nature Physics
|April 1, 2020
PubMed
Summary
This summary is machine-generated.

Detailed human movement data requires better predictive models. A "network of networks" approach offers a promising framework for understanding complex mobility patterns.

More Related Videos

Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research
08:12

Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research

Published on: February 16, 2024

14.5K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.7K

Related Experiment Videos

Last Updated: Dec 25, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.1K
Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research
08:12

Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research

Published on: February 16, 2024

14.5K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.7K

Area of Science:

  • Mobility studies
  • Network science
  • Computational social science

Background:

  • Increasingly granular data on human movement is available.
  • Current models struggle to fully explain observed mobility patterns.
  • There is a need for advanced analytical frameworks.

Purpose of the Study:

  • To explore the utility of a 'network of networks' model for human mobility.
  • To provide a conceptual framework for analyzing complex movement data.
  • To identify potential avenues for developing more robust predictive models.

Main Methods:

  • Conceptual modeling
  • Network analysis
  • Systems thinking

Main Results:

  • The 'network of networks' framework provides a scalable approach to represent interconnected mobility systems.
  • This approach can capture emergent behaviors and complex interactions within human movement.
  • It offers a way to integrate diverse data sources for a holistic view.

Conclusions:

  • A 'network of networks' model is a viable and promising approach for understanding human mobility.
  • This framework can advance the development of sophisticated models for mobility data.
  • Further research should focus on implementing and validating this approach with real-world data.