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

Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

885
When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
885
Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

11.4K
The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
11.4K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.1K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.1K
Categories of Equilibrium01:30

Categories of Equilibrium

4.2K
Equilibrium is a crucial concept in physics, enabling us to understand how forces interact with bodies to produce no or constant motion. In two-dimensional equilibrium, force systems can be classified into different categories based on their characteristics.
One of the categories of equilibrium is collinear equilibrium, which involves forces acting along a straight line. This type of equilibrium requires only one force equation in the direction of the forces, as the other equations are...
4.2K
Alternative Sets of Equilibrium Equations01:31

Alternative Sets of Equilibrium Equations

878
When analyzing the behavior of structures, engineers often rely on the concept of equilibrium. This refers to the state where all forces and moments acting on a system balance each other, resulting in no net movement or rotation. In many cases, equilibrium can be described by a set of standard equations. However, in some situations, alternative sets of equilibrium equations must be used to describe the system's behavior accurately.
One example of such a situation can be observed in a...
878
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

6.4K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
6.4K

You might also read

Related Articles

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

Sort by
Same author

LncRNA-MSTRG.16919.1 regulates the proliferation of BHV-1 in MDBK cells through TAK1/TAB1/TAB2/TAB3 complexes.

BMC veterinary research·2026
Same author

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same author

Association between the C-reactive protein-triglyceride-glucose index and incident cardiovascular disease in middle-aged and older adults with arthritis: a nationwide prospective cohort study with hospital-based cross-sectional replication.

Frontiers in immunology·2026
Same author

Efficient dynamic cooperative deployment and task scheduling in multi-UAV-assisted MEC for dense dynamic environments.

Scientific reports·2026
Same author

Metal-Organic Framework as a Bioorthogonal Catalyst for Gene Editing.

Journal of the American Chemical Society·2026
Same author

Charge-Competition AIEgens Induce Mitochondrial Dysfunction for Selective Eradication of <i>Candida albicans</i> while Restoring Vaginal Microbiota.

Journal of microbiology and biotechnology·2026

Related Experiment Video

Updated: Dec 29, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.7K

Cluster Consensus of Multiagent Systems With Weighted Antagonistic Interactions.

Min Zhao, Chen Peng, Qing-Long Han

    IEEE Transactions on Cybernetics
    |February 8, 2020
    PubMed
    Summary

    This study introduces a new cluster consensus protocol for multiagent systems (MASs) with complex communication networks. It establishes conditions for achieving consensus, enhancing stability analysis for systems with antagonistic interactions.

    More Related Videos

    The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
    06:18

    The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

    Published on: October 20, 2022

    2.5K
    A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
    06:25

    A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

    Published on: May 16, 2025

    1.1K

    Related Experiment Videos

    Last Updated: Dec 29, 2025

    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.7K
    The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
    06:18

    The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

    Published on: October 20, 2022

    2.5K
    A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
    06:25

    A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

    Published on: May 16, 2025

    1.1K

    Area of Science:

    • Control Theory
    • Networked Systems
    • Distributed Computing

    Background:

    • Multiagent systems (MASs) face challenges in achieving cluster consensus, especially with antagonistic interactions.
    • Existing methods often require specific communication topologies, limiting their applicability.
    • Analyzing structural balance in MASs with general communication topologies is complex.

    Purpose of the Study:

    • To develop a novel cluster consensus protocol for MASs with weighted antagonistic interactions.
    • To introduce a more general communication topology, relaxing constraints on directed cycles.
    • To derive necessary and sufficient conditions for achieving cluster consensus in MASs.

    Main Methods:

    • Proposing a new cluster consensus protocol for structurally unbalanced digraphs.
    • Simplifying structural balance judgment by considering directed cycles and multiple paths.
    • Employing an algebra theorem to derive stability criteria for systems under directed cycles.

    Main Results:

    • A general communication topology is introduced for MASs, removing limitations on directed cycles.
    • The judgment of structural balance is significantly simplified.
    • Two necessary and sufficient conditions for cluster consensus are derived, linking it to the existence of a directed spanning tree.
    • A sufficient criterion for system instability under directed cycles is established, regardless of cycle length.

    Conclusions:

    • The proposed protocol and conditions effectively enable cluster consensus in MASs with complex communication structures.
    • The findings provide a more generalized framework for analyzing consensus in MASs with antagonistic interactions.
    • The simplified structural balance judgment and stability criteria offer practical tools for system design and analysis.