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

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each path...
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
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:
Positive Regulator Molecules01:45

Positive Regulator Molecules

To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.
Positive Regulator Molecules02:39

Positive Regulator Molecules

Mitotic cell division results in daughter cells that exactly resemble the parent cell. However, errors in the DNA replication or distribution of genetic material may lead to genetic mutations that may be passed down to every new cell formed from the resulting abnormal cell. Propagation of such mutant cells is restricted through checkpoint mechanisms present at different stages of the cell cycle. These checkpoints involve regulator molecules that either promote or demote cell cycle events.

You might also read

Related Articles

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

Sort by
Same author

A topological characterization of stabilizing consensus.

Distributed computing·2026
Same author

Extraction of Human Phenotype Ontology (HPO) Concepts from Clinical Notes Utilizing Large Language Models (LLM) with Model Context Protocol (MCP).

medRxiv : the preprint server for health sciences·2026
Same author

Infection following foot and ankle surgery : a subanalysis of data captured from the UK Foot and Ankle Thromboembolism (FATE) audit.

The bone & joint journal·2026
Same author

Inkjet-Printed Rough Gold Microelectrode Arrays on Flexible Substrates for Neural Recording and Electrical Stimulation.

ACS applied materials & interfaces·2026
Same author

Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imaging.

European radiology·2026
Same author

An interdisciplinary fetal neonatal neurology collaborative promotes integrative life-course brain health.

Frontiers in neurology·2026
Same journal

Joint Realizability of Monotone Boolean Functions.

Theoretical computer science·2025
Same journal

Progress analysis of a multi-recombinative evolution strategy on the highly multimodal Rastrigin function.

Theoretical computer science·2024
Same journal

Editorial.

Theoretical computer science·2022
Same journal

RESCOT: Restriction Enzyme Set and Combination Optimization Tools for rNMP Capture Techniques.

Theoretical computer science·2021
Same journal

On Infinite Prefix Normal Words.

Theoretical computer science·2021
Same journal

Community-based rumor blocking maximization in social networks: Algorithms and analysis.

Theoretical computer science·2020
See all related articles

Related Experiment Video

Updated: May 28, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

The Asynchronous Bounded-Cycle model.

Peter Robinson1, Ulrich Schmid

  • 1Technische Universität Wien, Embedded Computing Systems Group (E182/2), Treitlstrasse 1-3, A-1040 Vienna, Austria.

Theoretical Computer Science
|October 28, 2011
PubMed
Summary
This summary is machine-generated.

This paper introduces the Asynchronous Bounded-Cycle (ABC) model, enabling synchrony conditions in asynchronous systems without explicit message delays. This model ensures correct implementation of clock synchronization and lock-step rounds, even with Byzantine failures.

More Related Videos

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

Benefits of Cardiac Resynchronization Therapy in an Asynchronous Heart Failure Model Induced by Left Bundle Branch Ablation and Rapid Pacing
12:45

Benefits of Cardiac Resynchronization Therapy in an Asynchronous Heart Failure Model Induced by Left Bundle Branch Ablation and Rapid Pacing

Published on: December 11, 2017

Related Experiment Videos

Last Updated: May 28, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

Benefits of Cardiac Resynchronization Therapy in an Asynchronous Heart Failure Model Induced by Left Bundle Branch Ablation and Rapid Pacing
12:45

Benefits of Cardiac Resynchronization Therapy in an Asynchronous Heart Failure Model Induced by Left Bundle Branch Ablation and Rapid Pacing

Published on: December 11, 2017

Area of Science:

  • Computer Science
  • Distributed Systems

Background:

  • Purely asynchronous models lack explicit synchrony conditions.
  • Existing models often rely on message delays or system-wide constraints.

Purpose of the Study:

  • Introduce a novel Asynchronous Bounded-Cycle (ABC) model.
  • Incorporate synchrony conditions into asynchronous systems without referencing message delays or system-wide constraints.

Main Methods:

  • Bounding the ratio of forward- and backward-oriented messages in relevant cycles.
  • Applying a novel message delay assignment method based on Farkas' theorem and graph cycle spaces.
  • Utilizing point-set topology to prove model indistinguishability for time-free properties.

Main Results:

  • Demonstrated correct implementation and proof of clock synchronization and lock-step rounds in the ABC model, including Byzantine failures.
  • Proved that algorithms correct in the partially synchronous Θ-Model are also correct in the ABC model.
  • Introduced weaker ABC model variants and related the model to existing partially synchronous systems.

Conclusions:

  • The ABC model provides a viable framework for achieving synchrony in asynchronous distributed systems.
  • The model offers applicability in real-world systems, such as VLSI Systems-on-Chip.
  • The ABC model advances the understanding of synchrony and asynchrony in distributed computing.