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

Distributed Loads01:19

Distributed Loads

Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
Stress: General Loading Conditions01:15

Stress: General Loading Conditions

To grasp the intricacy of real-world conditions where multiple loads are applied simultaneously to a structure, one might visualize a section passing through a specific point within a body, aligned parallel to the xy plane. This section is subjected to various forces, including original loads, normal forces, and shearing forces.
The shearing force, possessing potential directionality within the plane of the section, is simplified into two component forces running parallel to the x and y axes.

You might also read

Related Articles

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

Sort by
Same author

Updates on drug-induced anaphylaxis in children.

Current opinion in allergy and clinical immunology·2026
Same author

Aggrecan and small leucine-rich proteoglycan fragments correlate with Toll-like receptor-2 mediated inflammation in painful degenerative disc disease.

The Korean journal of pain·2026
Same author

Community structure-regulation coupling reveals optimal information diffusion.

Nature communications·2026
Same author

Self-supervised reservoir computing with spatial-temporal encoding for identifying critical transitions.

Nature communications·2026
Same author

Control of Oscillator Networks with Mean-Field Measurement: A Hybrid Open/Closed-Loop Approach.

IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society·2026
Same author

Surgical intervention in an incidentally diagnosed adult ALCAPA in the fourth decade or later-operate or observe?

Indian journal of thoracic and cardiovascular surgery·2026
Same journal

Comparative genomic analysis of clinically relevant human skin-associated fungi.

Nature communications·2026
Same journal

Multi-metric evaluations of acute psychedelic effects on fMRI brain entropy.

Nature communications·2026
Same journal

A Phytosulfokine signaling module activates the Nod factor receptor to control soybean nodulation.

Nature communications·2026
Same journal

Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.

Nature communications·2026
Same journal

Near-infrared stress memory emitters enable delayed impact visualization in illuminated environments.

Nature communications·2026
Same journal

Risk stratification and relapse pattern in triple-negative breast cancer with pathological complete response after neoadjuvant treatment: the European GAMBIT real-world study.

Nature communications·2026
See all related articles
  1. Home
  2. Hypernetworks Induce Stable Hyperlocking.
  1. Home
  2. Hypernetworks Induce Stable Hyperlocking.

Related Experiment Videos

Hypernetworks induce stable hyperlocking.

Eddie Nijholt1, Tiago Pereira2,3, Matthias Wolfrum4

  • 1Institute of Mathematical Sciences and Computation, University of São Paulo, São Paulo, Brazil.

Nature Communications
|June 24, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Hypernetworks, which involve group interactions, exhibit unique synchronization. A triadic hypernetwork motif can stably lock phases in three oscillators, a phenomenon not seen with pairwise coupling.

Related Experiment Videos

Area of Science:

  • Complex systems
  • Network science
  • Nonlinear dynamics

Background:

  • Hypernetworks model interactions beyond pairs, crucial for systems like the brain and climate.
  • Synchronization is a key phenomenon in coupled systems, but its behavior in hypernetworks is less understood.

Purpose of the Study:

  • To investigate a novel synchronization phenomenon unique to hypernetworks.
  • To identify and analytically describe a new synchronization mechanism in higher-order interactions.

Main Methods:

  • Utilized normal form transformations and phase reduction for analytical derivation.
  • Employed numerical simulations and chemical experiments for validation.

Main Results:

  • Discovered that a triadic hypernetwork motif can induce stable phase triplet locking in three coupled oscillators.
  • Observed that pairwise coupling does not result in the same stable phase locking.
  • Analytical derivation confirmed the mechanism behind this 'hyperlocking' phenomenon.
  • Conclusions:

    • Uncovered a new synchronization mechanism inherent to higher-order interactions in hypernetworks.
    • Demonstrated the potential for controlling complex dynamics using hypernetwork structures.
    • Opened new avenues for research beyond traditional pairwise interaction models.