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

Spreading of Chromatin Modifications02:25

Spreading of Chromatin Modifications

9.5K
The histone proteins in the nucleosomes are post-translationally modified (PTM) to increase or decrease access to DNA. The commonly observed PTMs are methylation, acetylation, phosphorylation, and ubiquitination of lysine amino acids in the histone H3 tail region. These histone modifications have specific meaning for the cell. Hence, they are called "histone code". The protein complex involved in histone modification is termed as "reader-writer" complex.
Writers
The writer...
9.5K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

588
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
588
Dynamic Equilibrium02:20

Dynamic Equilibrium

63.0K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
63.0K
Response Surface Methodology01:16

Response Surface Methodology

668
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
668

You might also read

Related Articles

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

Sort by
Same author

Economic Evaluation of Self-Administered Dual-Task Training Reducing Falls in Community-Dwelling Older Adults: Cost-Effectiveness Analysis of a Multicenter Randomized Control Trial.

Journal of physical activity & health·2026
Same author

Evaluating equitable access based on sociodemographic predictors of nirmatrelvir-ritonavir use during the first year of availability in Ontario, Canada: A population-based ecological study.

Canadian journal of public health = Revue canadienne de sante publique·2026
Same author

Baseline characteristics of the SINgapore GERiatric Intervention Study to Reduce Cognitive Decline and Physical Frailty (SINGER) multidomain dementia prevention randomized controlled trial and insights from the recruitment process.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Factors associated with changes in DALYs in five Asian health systems, 2000-2019.

Health policy (Amsterdam, Netherlands)·2026
Same author

Economic Cost of Knee Osteoarthritis in Singapore.

Value in health regional issues·2026
Same author

Integrin-deficient T cell leukemia accumulates in the central nervous system.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Feb 6, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K

General methodology for inferring failure-spreading dynamics in networks.

Xiangyang Guan1, Cynthia Chen2

  • 1Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195.

Proceedings of the National Academy of Sciences of the United States of America
|August 17, 2018
PubMed
Summary

A new framework models how failures spread through systems like power grids and epidemics. It accurately identifies failure causes and spreading patterns, offering insights for system control.

Keywords:
cascading failuresepidemicinfrastructurenetworkspreading process

More Related Videos

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading
10:54

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

6.0K
Examining the Dynamics of Cellular Adhesion and Spreading of Epithelial Cells on Fibronectin During Oxidative Stress
10:57

Examining the Dynamics of Cellular Adhesion and Spreading of Epithelial Cells on Fibronectin During Oxidative Stress

Published on: October 13, 2019

8.0K

Related Experiment Videos

Last Updated: Feb 6, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Quantitative Analysis of Cell Edge Dynamics during Cell Spreading
10:54

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

6.0K
Examining the Dynamics of Cellular Adhesion and Spreading of Epithelial Cells on Fibronectin During Oxidative Stress
10:57

Examining the Dynamics of Cellular Adhesion and Spreading of Epithelial Cells on Fibronectin During Oxidative Stress

Published on: October 13, 2019

8.0K

Area of Science:

  • Complex systems science
  • Network science
  • Epidemiology

Background:

  • Understanding failure propagation is crucial for critical infrastructure resilience.
  • Existing models often lack generality or struggle with diverse failure mechanisms.

Purpose of the Study:

  • To propose and validate a generic modeling framework for inferring failure-spreading processes.
  • To quantify general failure-spreading mechanisms (external, temporal, spatial, functional).

Main Methods:

  • Developed a modeling framework using individual node failure times.
  • Tested the framework on interdependent power/transportation networks, influenza epidemics, and benchmark congestion/outage cases.

Main Results:

  • The framework accurately inferred underlying failure mechanisms and reconstructed spreading processes in all simulations.
  • Demonstrated robustness in capturing specific mechanisms like flow redistribution with low uncertainty.

Conclusions:

  • The proposed methodology offers a generally applicable framework for modeling, understanding, and controlling failure spreading.
  • Provides a promising tool for analyzing diverse complex systems prone to cascading failures.