Jove
Visualize
Contact Us

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

354
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
354
Signal Flow Graphs01:18

Signal Flow Graphs

206
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
206
Flow Cytometry01:23

Flow Cytometry

12.6K
The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
12.6K
Pipe Flowrate Measurement01:28

Pipe Flowrate Measurement

634
In pipe flow measurement, orifice, nozzle, and Venturi meters are commonly used to determine fluid flowrates by constricting the flow area, which increases fluid velocity and reduces pressure. This pressure difference, governed by Bernoulli's principle and adjusted for real-world conditions, is essential for calculating flowrate. Each meter type is suited to specific applications based on accuracy, efficiency, and compatibility with various flow conditions.
The orifice meter is a simple,...
634
Rapidly Varying Flow01:24

Rapidly Varying Flow

57
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
57
Multiple Pipe Systems01:21

Multiple Pipe Systems

738
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...
738

You might also read

Related Articles

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

Sort by
Same author

Integrating citizen science and spatial machine learning for mapping recreational cultural ecosystem services in rural regions.

Journal of environmental management·2026
Same author

Metabolic set theory: a generalized model of microbial interactions.

NPJ systems biology and applications·2026
Same author

Unlocking energy-carbon-water synergies in global water supply system maintenance.

Nature communications·2026
Same author

Typology of the ecological impacts of biological invasions.

Trends in ecology & evolution·2025
Same author

Measuring and understanding information storage and transfer in a simulated human gut microbiome.

PLoS computational biology·2024
Same author

Decreasing resilience of China's coupled nitrogen-phosphorus cycling network requires urgent action.

Nature food·2024
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 Experiment Video

Updated: Jun 21, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K

Measuring system resilience through a comparison of information- and flow-based network analyses.

Graham Hyde1, Brian D Fath2,3, Hannah Zoller4

  • 1Department of Physics, Astronomy and Geosciences, Towson University, Towson, MD, 21252, USA.

Scientific Reports
|July 16, 2024
PubMed
Summary

A novel information-based network analysis (QtAC) method offers a valuable alternative to conventional flow analysis for complex systems, especially when data is limited. This approach better reflects complex system dynamics and provides new insights when combined with traditional methods.

More Related Videos

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

5.8K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

530

Related Experiment Videos

Last Updated: Jun 21, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

5.8K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

530

Area of Science:

  • Complex Systems Analysis
  • Network Theory
  • Sustainability Science

Background:

  • Quantifying self-organizing systems is crucial for understanding system development and state.
  • Conventional flow-based network analysis is often limited by data availability.
  • A novel information-based technique, QtAC, models interactions as information transfers, overcoming data constraints.

Purpose of the Study:

  • To compare the novel information-based QtAC method with conventional flow analysis.
  • To evaluate the applicability of QtAC in complex systems analysis with limited data.
  • To assess resilience indicators derived from both network approaches.

Main Methods:

  • Application of both QtAC and conventional flow analysis to a 90-year socio-economic dataset from Samothraki, Greece.
  • Derivation of resilience indicators using Ulanowicz's ascendency analysis on both network types.
  • Comparative analysis of network dynamics and indicator interpretations.

Main Results:

  • Information-based networks modeled by QtAC align more closely with complex system dynamics (adaptive cycle model).
  • QtAC provides alternative interpretations of network indicators compared to flow analysis.
  • The study demonstrates QtAC's utility when conventional flow analysis is constrained by data.

Conclusions:

  • QtAC serves as a viable alternative for complex systems analysis, particularly when data limitations hinder traditional flow-based methods.
  • Combining QtAC with conventional flow analysis can generate novel and valuable insights.
  • The study highlights the methodological evaluation of sustainability frameworks in complex systems.