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

Cascaded Op Amps01:16

Cascaded Op Amps

1.2K
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
1.2K
Multiple Pipe Systems01:21

Multiple Pipe Systems

1.3K
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
1.3K
Multimachine Stability01:25

Multimachine Stability

587
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:
587
Reclosers and Fuses01:26

Reclosers and Fuses

487
Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
A comprehensive protection scheme for radial distribution...
487
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

522
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
522
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

7.4K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
7.4K

You might also read

Related Articles

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

Sort by
Same author

Viscosity as the product of its ideal low-concentration value and a thermodynamic function.

Physical review. E·2025
Same author

Physical meaning of nonextensive term in Massieu functions.

Physical review. E·2025
Same author

Epidemic control in networks with cliques.

Physical review. E·2023
Same author

Dependence on the thermodynamic state of self-diffusion of pseudo-hard-sphere and Lennard-Jones potentials.

Physical review. E·2023
Same author

Diffusion on a lattice: Transition rates, interactions, and memory effects.

Physical review. E·2022
Same author

Application of the Widom insertion formula to transition rates in a lattice.

Physical review. E·2021
Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026
Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026
Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026
Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026
Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 19, 2026

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices
09:26

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices

Published on: June 26, 2015

9.3K

Cascading Failures in Interdependent Networks with Multiple Supply-Demand Links and Functionality Thresholds.

M A Di Muro1, L D Valdez2,3, H H Aragão Rêgo4

  • 1Instituto de Investigaciones Físicas de Mar del Plata (IFIMAR)-Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata-CONICET, Funes, 3350, (7600) Mar del Plata, Argentina. mdimuro@mdp.edu.ar.

Scientific Reports
|November 10, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a realistic interdependent network model where nodes require partial support to function. The research reveals complex system behaviors and phase transitions, validated by simulations.

More Related Videos

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Related Experiment Videos

Last Updated: Feb 19, 2026

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices
09:26

In Situ Time-dependent Dielectric Breakdown in the Transmission Electron Microscope: A Possibility to Understand the Failure Mechanism in Microelectronic Devices

Published on: June 26, 2015

9.3K
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Area of Science:

  • Complex systems science
  • Network science
  • Statistical physics

Background:

  • Interdependent networks model various real-world systems like financial and biological networks.
  • Existing models assume nodes need complete support from other networks to avoid failure.
  • Previous models did not account for internal node failures within a network.

Purpose of the Study:

  • To develop a more realistic model for two interdependent networks.
  • To incorporate supply thresholds for individual nodes.
  • To analyze the impact of internal node failures on system functionality.

Main Methods:

  • Developed a novel interdependent network model with node-specific supply thresholds.
  • Investigated various internal node failure conditions.
  • Employed the generating functions formalism for analytical solutions.
  • Validated analytical findings with stochastic simulations.

Main Results:

  • The new model captures more realistic failure propagation dynamics.
  • Several internal failure conditions yield similar nontrivial system behaviors.
  • The model without internal failures simplifies to a bipartite system, applicable to financial markets.
  • Observed rich system dynamics, including discontinuous and continuous phase transitions.

Conclusions:

  • The developed model provides a more accurate representation of interdependent systems.
  • Node supply thresholds and internal failures significantly influence system stability and behavior.
  • The analytical solutions align well with simulation results, confirming the model's validity.