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

Complexation Equilibria: Factors Influencing Stability of Complexes01:09

Complexation Equilibria: Factors Influencing Stability of Complexes

849
In complexation reactions, metal cations are the electron pair acceptors, and the ligands are the electron pair donors. The stability of the metal complexes depends primarily on the complexing ability of the central metal ion and the nature of the ligands. Generally, the complexing ability of the metal ion depends on the size and charge of the ion. As the metal ion size increases, the stability of the metal complexes decreases, provided that the valency of the metal ion and the ligands remain...
849
Nuclear Stability03:18

Nuclear Stability

23.3K
Protons and neutrons, collectively called nucleons, are packed together tightly in a nucleus. With a radius of about 10−15 meters, a nucleus is quite small compared to the radius of the entire atom, which is about 10−10 meters. Nuclei are extremely dense compared to bulk matter, averaging 1.8 × 1014 grams per cubic centimeter. If the earth’s density were equal to the average nuclear density, the earth’s radius would be only about 200 meters.
To hold positively charged protons together...
23.3K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K
RNA Stability01:53

RNA Stability

35.7K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
35.7K
Velocity of an Object01:18

Velocity of an Object

206
Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
206
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

6.7K
The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
6.7K

You might also read

Related Articles

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

Sort by
Same author

Foot-ground force quantifies impaired balance control mechanisms post-stroke.

Scientific reports·2026
Same author

Quiet standing: a simple motor task but a hard modeling challenge.

Progress in biomedical engineering (Bristol, England)·2026
Same author

Tuning of task-relevant stiffness in multiple directions.

Scientific reports·2025
Same author

A Geometric Approach for the Comparison of Kinematic Synergy Postures.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same author

Multi-Linear Regressor for Static Posturography Estimation Through an Instrumented Cane.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same author

Explaining human motor coordination via the synergy expansion hypothesis.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exact computation of Lyapunov exponents via system parameters in multi-triangle chaotic maps: Bifurcation analysis and circuit realization.

Chaos (Woodbury, N.Y.)·2026
Same journal

Integrating score-based generative modeling and neural ODEs for accurate representation of multiscale chaotic dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A data-driven tuberculosis model with behavioral changes and saturated treatment: Optimal control and cost-effectiveness study.

Chaos (Woodbury, N.Y.)·2026
Same journal

Breathers, rational solutions, and their exact physical spectra in F = 1 spinor Bose-Einstein condensates.

Chaos (Woodbury, N.Y.)·2026
Same journal

Finite invariant sets with bridging points in logistic IFS.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Feb 3, 2026

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
16:24

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water

Published on: August 2, 2012

19.3K

Stability and predictability in human control of complex objects.

Salah Bazzi1, Julia Ebert2, Neville Hogan3

  • 1Department of Biology, Northeastern University, Boston, Massachusetts 02115, USA.

Chaos (Woodbury, N.Y.)
|November 3, 2018
PubMed
Summary
This summary is machine-generated.

Humans simplify complex movement control by exploiting system stability. This strategy, utilizing contraction theory, helps predict and manage perturbations when interacting with objects like a cup of coffee.

More Related Videos

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

6.4K
Production of Disulfide-stabilized Transmembrane Peptide Complexes for Structural Studies
12:05

Production of Disulfide-stabilized Transmembrane Peptide Complexes for Structural Studies

Published on: March 6, 2013

14.6K

Related Experiment Videos

Last Updated: Feb 3, 2026

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
16:24

Controlling the Size, Shape and Stability of Supramolecular Polymers in Water

Published on: August 2, 2012

19.3K
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

6.4K
Production of Disulfide-stabilized Transmembrane Peptide Complexes for Structural Studies
12:05

Production of Disulfide-stabilized Transmembrane Peptide Complexes for Structural Studies

Published on: March 6, 2013

14.6K

Area of Science:

  • Human Movement Science
  • Robotics and Control Theory
  • Computational Neuroscience

Background:

  • Human movement control often relies on stability to mitigate noise and external disturbances.
  • Predictive control using internal models is crucial for interacting with complex objects and managing delays.

Purpose of the Study:

  • To investigate if humans exploit system stability to simplify control of complex dynamics and enhance predictability.
  • To assess the utility of contraction theory for analyzing stability in complex, transient human movements.

Main Methods:

  • Reviewed existing stability analysis methods for human movement.
  • Applied contraction theory to analyze the stability of a simplified cart-pendulum system (model for carrying coffee).
  • Conducted experiments where participants transported the system, facing perturbations, in a virtual environment.

Main Results:

  • Contraction regions for the free system were computed using a contraction metric derived from a partial differential equation.
  • Experimental data revealed participants navigated within these computed contraction regions.
  • This strategy effectively attenuated perturbations and reduced the need for error correction, enhancing predictability.

Conclusions:

  • Humans strategically utilize system stability to simplify complex motor control tasks.
  • Contraction theory offers a robust method for quantifying stability in transient, complex human movements.
  • Exploiting stability enhances predictability and reduces vulnerability to perturbations during object interaction.