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

Tracking Individual Running Metrics in Mice Using a Voluntary Wheel Running Protocol that Minimizes Social Isolation04:48

Tracking Individual Running Metrics in Mice Using a Voluntary Wheel Running Protocol that Minimizes Social Isolation

1.1K
This protocol describes an effective voluntary wheel-running model that can be implemented in various research contexts. Unlike other voluntary running models, this method avoids isolation housing while tracking running metrics in individual...
1.1K
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

7.2K
Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
7.2K
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

531
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
531
Influence of Step-Width Manipulation on Running Biomechanics06:53

Influence of Step-Width Manipulation on Running Biomechanics

967
The present protocol outlines an experimental setup designed to investigate the influence of step width manipulation on running biomechanics using a motion capture system. The objective is to expand relevant datasets and examine the effects of varying step widths on the kinematic chain of the human lower...
967
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

6.8K
The current study aims to provide a step-by-step tutorial for calculating the magnitude of multisensory integration effects in an effort to facilitate the production of translational research studies across diverse clinical...
6.8K
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

947
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
947

You might also read

Related Articles

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

Sort by
Same author

Optimal speed in Thoroughbred horse racing.

PloS one·2020
Same author

Correction to 'How to build a new athletic track to break records'.

Royal Society open science·2020
Same author

How to build a new athletic track to break records.

Royal Society open science·2020
Same author

Optimal design of Purcell's three-link swimmer.

Physical review. E, Statistical, nonlinear, and soft matter physics·2015
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Tracking Individual Running Metrics in Mice Using a Voluntary Wheel Running Protocol that Minimizes Social Isolation
04:48

Tracking Individual Running Metrics in Mice Using a Voluntary Wheel Running Protocol that Minimizes Social Isolation

Published on: April 18, 2025

1.1K

Optimizing running a race on a curved track.

Amandine Aftalion1, Pierre Martinon2

  • 1Ecole des Hautes Etudes en Sciences Sociales, PSL Research University, Centre d'Analyse et de Mathématique Sociales, Paris, France.

Plos One
|September 6, 2019
PubMed
Summary
This summary is machine-generated.

Optimal race strategies on curved tracks depend on lane assignment and track design. Shorter straights improve performance, while longer straights and psychological factors influence runner dynamics and lane choices.

More Related Videos

Influence of Step-Width Manipulation on Running Biomechanics
06:53

Influence of Step-Width Manipulation on Running Biomechanics

Published on: February 28, 2025

967
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K

Related Experiment Videos

Last Updated: Jan 20, 2026

Tracking Individual Running Metrics in Mice Using a Voluntary Wheel Running Protocol that Minimizes Social Isolation
04:48

Tracking Individual Running Metrics in Mice Using a Voluntary Wheel Running Protocol that Minimizes Social Isolation

Published on: April 18, 2025

1.1K
Influence of Step-Width Manipulation on Running Biomechanics
06:53

Influence of Step-Width Manipulation on Running Biomechanics

Published on: February 28, 2025

967
Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K

Area of Science:

  • Sports Science
  • Biomechanics
  • Mathematical Modeling

Background:

  • Athletic race performance is influenced by track geometry and lane assignment.
  • Centrifugal forces on curved tracks necessitate strategic adjustments for optimal velocity and energy expenditure.
  • Psychological interactions between runners can impact race dynamics.

Purpose of the Study:

  • To determine optimal race strategies based on lane number and track design.
  • To analyze the impact of track straights length on performance.
  • To model psychological interactions between two runners during a race.

Main Methods:

  • Development of a differential equation model incorporating velocity, propulsive force, and anaerobic energy.
  • Inclusion of centrifugal force and track-specific straights lengths in the model.
  • Numerical simulations of race strategies and psychological interactions.

Main Results:

  • Tracks with shorter straights yield better overall performances.
  • Longer straights, particularly on double-bend tracks, result in poorer performances and greater lane disparities.
  • Psychological effects, such as attraction and delayed benefit after overtaking, were simulated.

Conclusions:

  • The findings align with International Association of Athletics Federations (IAAF) lane draw rules, favoring higher-ranked athletes in center lanes.
  • Track design significantly impacts race outcomes and fairness across lanes.
  • Psychological dynamics play a crucial role in two-runner race scenarios.