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

Conservation of Small Populations02:04

Conservation of Small Populations

17.6K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
17.6K
Chirality in Nature02:30

Chirality in Nature

17.6K
Chirality is the most intriguing yet essential facet of nature, governing life’s biochemical processes and precision. It can be observed from a snail shell pattern in a macroscopic world to an amino acid, the minutest building block of life. Most of the snails around the world have right-coiled shells because of the intrinsic chirality in their genes. All the amino acids present in the human body exist in an enantiomerically pure state, except for glycine - the sole achiral amino acid.
17.6K
Molecules with Multiple Chiral Centers02:25

Molecules with Multiple Chiral Centers

16.0K
Molecules that possess multiple chiral centers can afford a large number of stereoisomers. For instance, while some molecules like 2-butanol have one chiral center, defined as a tetrahedral carbon atom with four different substituents attached, several molecules like butane-2,3-diol have multiple chiral centers. A simple formula to predict the number of stereoisomers possible for a molecule with n chiral centers is 2n. However, there can be a lower number where some of the stereoisomers are...
16.0K
Chirality02:25

Chirality

31.1K
Chirality is a term that describes the lack of mirror symmetry in an object. In other words, chiral objects cannot be superposed on their mirror images. For example, our feet are chiral, as the mirror image of the left foot, the right foot, cannot be superposed on the left foot.
Chiral objects exhibit a sense of handedness when they interact with another chiral object. For example, our left foot can only fit in the left shoe and not in the right shoe. Achiral objects — objects that have...
31.1K
Chirality at Nitrogen, Phosphorus, and Sulfur02:30

Chirality at Nitrogen, Phosphorus, and Sulfur

7.2K
Chirality is most prevalent in carbon-based tetrahedral compounds, but this important facet of molecular symmetry extends to sp3-hybridized nitrogen, phosphorus and sulfur centers, including trivalent molecules with lone pairs. Here, the lone pair behaves as a functional group in addition to the other three substituents to form an analogous tetrahedral center that can be chiral.
A consequence of chirality is the need for enantiomeric resolution. While this is theoretically possible for all...
7.2K
Hedgehog Signaling Pathway02:33

Hedgehog Signaling Pathway

10.3K
The Hedgehog gene (Hh) was first discovered due to its control of the growth of disorganized, hair-like bristles phenotype in Drosophila, much like hedgehog spines. Hh plays a crucial role in the development of organs and the maintenance of homeostasis in both invertebrates and vertebrates. However, while Drosophila has only one Hh protein, mammals have multiple functional Hedgehog proteins - Sonic (Shh), Desert (Dhh), and Indian Hedgehog (Ihh). All of these homologous proteins have adapted to...
10.3K

You might also read

Related Articles

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

Sort by
Same author

Opinion-driven vaccination and epidemic dynamics on heterogeneous networks.

Scientific reports·2026
Same author

Ordinal patterns for characterization of transition to extreme events.

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

Learning transitions to extreme events using reservoir computing.

Physical review. E·2025
Same author

Stochastic bifurcation and safety basin study of nonlinear vibration systems in Li-doped graphene nanoplates with time delays.

Chaos (Woodbury, N.Y.)·2025
Same author

Synchronization of spring pendula.

Chaos (Woodbury, N.Y.)·2025
Same author

Extreme events in gene regulatory networks with time-delays.

Scientific reports·2025
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion
07:37

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

Published on: June 25, 2017

12.2K

Smallest chimera states.

Yuri Maistrenko1,2, Serhiy Brezetsky1, Patrycja Jaros1

  • 1Division of Dynamics, Technical University of Lodz, Stefanowskiego 1/15, 90-924 Lodz, Poland.

Physical Review. E
|February 18, 2017
PubMed
Summary
This summary is machine-generated.

Chimera behavior, where some oscillators synchronize while others do not, is shown in small networks of three coupled oscillators. This study identifies three chimera types with periodic and chaotic dynamics, relevant to real-world systems.

More Related Videos

Dechorionation of Medaka Embryos and Cell Transplantation for the Generation of Chimeras
09:03

Dechorionation of Medaka Embryos and Cell Transplantation for the Generation of Chimeras

Published on: December 22, 2010

18.4K
Generation of Chimeric Axolotls with Mutant Haploid Limbs Through Embryonic Grafting
07:17

Generation of Chimeric Axolotls with Mutant Haploid Limbs Through Embryonic Grafting

Published on: January 29, 2020

7.7K

Related Experiment Videos

Last Updated: Mar 7, 2026

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion
07:37

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

Published on: June 25, 2017

12.2K
Dechorionation of Medaka Embryos and Cell Transplantation for the Generation of Chimeras
09:03

Dechorionation of Medaka Embryos and Cell Transplantation for the Generation of Chimeras

Published on: December 22, 2010

18.4K
Generation of Chimeric Axolotls with Mutant Haploid Limbs Through Embryonic Grafting
07:17

Generation of Chimeric Axolotls with Mutant Haploid Limbs Through Embryonic Grafting

Published on: January 29, 2020

7.7K

Area of Science:

  • Complex systems
  • Nonlinear dynamics
  • Network science

Background:

  • Chimera states, a unique phenomenon in coupled oscillator networks, involve coexisting synchronized and desynchronized dynamics.
  • Understanding chimera states in minimal network configurations is crucial for their broader applicability.

Purpose of the Study:

  • To investigate the emergence and characteristics of chimera states in small networks.
  • To identify different types of chimera behavior and their associated dynamics.
  • To map parameter regions for chimera states and analyze transitions.

Main Methods:

  • Simulations of three identical, mutually all-to-all coupled oscillators.
  • Analysis of bifurcations leading to chimera states.
  • Characterization of periodic and chaotic dynamics within chimera states.
  • Mapping parameter space using Arnold tongues.

Main Results:

  • Demonstration of chimera states in a minimal network of three oscillators.
  • Identification of three distinct chimera types: two coherent and one incoherent oscillator.
  • Observation of periodic and chaotic dynamics within these chimera states.
  • Detailed description of bifurcations and parameter regions (Arnold tongues) for chimera formation.

Conclusions:

  • Chimera states are observable in small, simple networks.
  • The findings are relevant to various real-world systems exhibiting complex oscillatory behavior.
  • This work provides a fundamental understanding of chimera dynamics in minimal network settings.