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

Cell Size01:22

Cell Size

93.6K
Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...
93.6K
Brick Sizes01:21

Brick Sizes

536
Brick sizing plays a crucial role in construction, influencing both the aesthetics and structural integrity of buildings. Bricks are defined by three dimensions: width, thickness, and length. They are commonly designed to fit modular measurements, typically in multiples of 4 inches or 8 inches in width, to facilitate uniform construction and compatibility with other building materials.
Modular bricks are the most common type and are sized to include the mortar joint, which is essential for...
536
Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

5.8K
In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
The obtained precipitate should be either a pure substance of known composition or easily converted to one by a simple process, such as ignition or drying. In addition, the precipitate should be insoluble and easily filterable. In general, filterability...
5.8K
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

1.9K
Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
1.9K
Cells Coordinate Growth and Proliferation02:36

Cells Coordinate Growth and Proliferation

3.8K
Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...
3.8K
Size-Exclusion Chromatography01:08

Size-Exclusion Chromatography

2.8K
In size-exclusion chromatography (SEC), also known as molecular-exclusion or gel-permeation chromatography, molecules are separated based on their sizes. This technique is important for separating large molecules such as polymers and biomolecules. The two classes of micron-sized stationary phases encountered in SEC are silica particles and cross-linked polymer resin beads. Both materials are porous, but their pore sizes vary significantly.
Silica particles offer advantages such as rigidity,...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Fractional radial transport in cylindrical geometry.

Physical review. E·2025
Same author

A Markovian influence graph formed from utility line outage data to mitigate large cascades.

IEEE transactions on power systems : a publication of the Power Engineering Society·2020
Same author

Critical behavior of power transmission network complex dynamics in the OPA model.

Chaos (Woodbury, N.Y.)·2019
Same author

Modeling transport across the running-sandpile cellular automaton by means of fractional transport equations.

Physical review. E·2018
Same author

The interplay of network structure and dispatch solutions in power grid cascading failures.

Chaos (Woodbury, N.Y.)·2016
Same author

Characterization of a transition in the transport dynamics of a diffusive sandpile by means of recurrence quantification analysis.

Physical review. E·2016
Same journal

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Multifractal signatures of Hamiltonian chaos in Hyperion's rotational dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Apr 27, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.1K

Does size matter?

B A Carreras1, D E Newman2, Ian Dobson3

  • 1BACV Solutions, 110 Mohawk Road, Oak Ridge, Tennessee 37830, USA.

Chaos (Woodbury, N.Y.)
|July 3, 2014
PubMed
Summary
This summary is machine-generated.

Complex infrastructure failures are costly. This study models power grids to find optimal sizes that balance failure risk with network benefits, suggesting a way to improve system resilience.

More Related Videos

Size Matters: Measurement of Capsule Diameter in Cryptococcus neoformans
08:24

Size Matters: Measurement of Capsule Diameter in Cryptococcus neoformans

Published on: February 27, 2018

13.5K
Studying Murine Small Bowel Mechanosensing of Luminal Particulates
10:21

Studying Murine Small Bowel Mechanosensing of Luminal Particulates

Published on: March 18, 2022

1.7K

Related Experiment Videos

Last Updated: Apr 27, 2026

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.1K
Size Matters: Measurement of Capsule Diameter in Cryptococcus neoformans
08:24

Size Matters: Measurement of Capsule Diameter in Cryptococcus neoformans

Published on: February 27, 2018

13.5K
Studying Murine Small Bowel Mechanosensing of Luminal Particulates
10:21

Studying Murine Small Bowel Mechanosensing of Luminal Particulates

Published on: March 18, 2022

1.7K

Area of Science:

  • Complex systems analysis
  • Infrastructure resilience
  • Network theory

Background:

  • Societal dependence on complex infrastructures like power grids necessitates understanding failure risks.
  • Infrastructure failures incur significant human and economic costs.
  • Optimizing system design can mitigate failure risks.

Purpose of the Study:

  • To investigate the relationship between power transmission grid size and failure risk.
  • To identify optimal network sizes that balance risk and benefit.
  • To explore methods for enhancing the resilience of critical infrastructures.

Main Methods:

  • Development of a dynamic model for the power transmission grid.
  • Analysis of failure risk as a function of system size.
  • Simulation and evaluation of network performance under varying scales.

Main Results:

  • A clear relationship was found between power grid size and failure risk.
  • Optimal network sizes were identified where failure risk is minimized relative to benefits.
  • The findings suggest that network topology and size significantly influence system stability.

Conclusions:

  • System size is a critical factor in determining infrastructure failure risk.
  • Optimizing the size of power grids can lead to improved resilience and reduced economic impact.
  • This research provides a framework for designing more robust and efficient complex networks.