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

Cell Migration01:09

Cell Migration

16.6K
Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
16.6K
Migration00:53

Migration

8.1K
Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
8.1K
Cell Migration01:19

Cell Migration

6.1K
Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
6.1K
Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

4.9K
A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker...
4.9K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

712
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,...
712
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

359
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...
359

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

Daily briefing: 'Cyborg' cockroaches breathe underwater with printed suit.

Nature·2026
Same journal

China boosts prestigious grants for young scientists - will it ease competition?

Nature·2026
Same journal

Incoming US science academy chief vows to 'double down' on research.

Nature·2026
Same journal

Author Correction: Synthesis of enantioenriched atropisomers by biocatalytic deracemization.

Nature·2026
Same journal

Electrodeposited self-assembled molecules for perovskite photovoltaics.

Nature·2026
Same journal

Neutrino's nursery found: the 'Shadow Blaster'.

Nature·2026
See all related articles

Related Experiment Video

Updated: May 1, 2026

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
07:27

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

16.3K

A universal model for mobility and migration patterns.

Filippo Simini1, Marta C González, Amos Maritan

  • 1Center for Complex Network Research and Department of Physics, Biology and Computer Science, Northeastern University, Boston, Massachusetts 02115, USA.

Nature
|February 28, 2012
PubMed
Summary
This summary is machine-generated.

A new radiation model, based on local mobility decisions, accurately predicts population movement and trade flows. This parameter-free approach improves predictions without needing prior mobility data, outperforming the traditional gravity law.

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.2K

Related Experiment Videos

Last Updated: May 1, 2026

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
07:27

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

16.3K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.2K

Area of Science:

  • Physics
  • Social Sciences
  • Computational Social Science

Background:

  • The gravity law, established in 1946, is widely used for predicting population movement, trade, and communication.
  • However, the gravity law has adjustable parameters and analytical inconsistencies.
  • Existing models often require extensive regional data.

Purpose of the Study:

  • To introduce a novel, parameter-free stochastic model for predicting mobility and transport patterns.
  • To analytically derive commuting and mobility fluxes using only population distribution data.
  • To improve the predictive accuracy of phenomena influenced by mobility.

Main Methods:

  • Developed a stochastic process that captures local mobility decisions.
  • Analytically derived commuting and mobility fluxes.
  • Validated the model against observed mobility and transport patterns across various scales.

Main Results:

  • The new radiation model accurately predicts mobility patterns, including migration and communication volumes.
  • The model requires only population distribution as input, eliminating the need for regional parameters.
  • Achieved good agreement with observed mobility and transport data.

Conclusions:

  • The parameter-free radiation model offers a significant improvement over traditional methods like the gravity law.
  • This model can be applied to predict mobility in data-scarce regions.
  • Enhances the predictive accuracy of diverse mobility and transport phenomena.