Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

IP3/DAG Signaling Pathway

IP3/DAG Signaling Pathway

Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and produces two-second...

Network Function of a Circuit

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

Fast Decoupled and DC Powerflow

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

Distributed Loads: Problem Solving

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...

Cytoskeletal Coordination in Cell Migration

Cytoskeletal Coordination in Cell Migration

A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker proteins that...

Distributed Loads

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...

You might also read

Related Articles

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

Sort by

Same author

Automated recognition of surgical phases in robot-assisted radical prostatectomy using a Hiera-based vision transformer.

BJU international·2026

Same author

Prognostic value of the AIP index in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.

Frontiers in nutrition·2026

Same author

Epidemic dynamics with non-Markovian infection processes in metapopulation networks.

Physical review. E·2025

Same author

Validation of the GERAADA Score for Predicting 30-Day Mortality Rate in Acute Type A Aortic Dissection: A Single-Center Study in China.

Journal of the American Heart Association·2025

Same author

Triple-Branched Stent Graft for Acute Type A Aortic Dissection Complicated by Imaging Cerebral Malperfusion: A Multicentre Retrospective Study.

The Canadian journal of cardiology·2025

Same author

Hepatic Arterial Infusion Chemotherapy for Hepatocellular Carcinoma: A Three-Dimensional Visualization Perspective.

Journal of hepatocellular carcinoma·2025

Search research articles

Related Experiment Video

Updated: Jun 14, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Global dynamic routing for scale-free networks.

Xiang Ling¹, Mao-Bin Hu, Rui Jiang

¹School of Engineering Science, University of Science and Technology of China, Hefei, People's Republic of China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|April 7, 2010

Summary

This summary is machine-generated.

This study introduces a global dynamic routing strategy for networks, improving traffic capacity. The strategy, based on node queue lengths, enhances network performance even with time delays.

Related Experiment Videos

Last Updated: Jun 14, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Network Science
Computer Science
Applied Mathematics

Background:

Traffic routing is crucial for network dynamics.
Existing efficient routing strategies significantly outperform shortest path methods.
Network capacity and packet travel time are key performance metrics.

Purpose of the Study:

To propose a novel global dynamic routing strategy for network systems.
To enhance network traffic capacity beyond existing efficient routing strategies.
To analyze the impact of time delays on system capacity and travel time.

Main Methods:

Developing a global dynamic routing strategy utilizing node queue length information.
Simulating network traffic flow under the proposed routing strategy.
Evaluating system capacity and packet travel time with and without time delays.

Main Results:

The proposed global dynamic routing strategy further improves traffic capacity.
System capacity remains constant despite time delays in updating queue lengths and paths.
Packet travel time increases with the introduction of time delays.

Conclusions:

The novel routing strategy offers enhanced network traffic capacity.
The strategy demonstrates resilience in maintaining capacity under time-delayed information.
Balancing capacity and travel time is critical in dynamic network routing.