Jove
Visualize
Contact Us

Related Concept Videos

Calculation of Electric Flux01:25

Calculation of Electric Flux

2.8K
Consider the electric field of an oppositely charged, parallel-plate system and an imaginary box between those plates. Let the bottom face of the box be ABCD, and the top face be FGHK. The electric field between the plates is uniform and points from the positive plate toward the negative plate. The calculation of this field's flux through the box's various faces shows that the net flux through the box is zero. Why does the flux cancel out here?
2.8K
Electric Flux01:15

Electric Flux

9.6K
The concept of flux describes how much of something goes through a given area. More formally, it is the dot product of a vector field within an area. For a better understanding, consider an open rectangular surface with a small area that is placed in a uniform electric field. The larger the area, the more field lines go through it and, hence, the greater the flux; similarly, the stronger the electric field (represented by a greater density of lines), the greater the flux. On the other hand, if...
9.6K
Magnetic Flux01:18

Magnetic Flux

4.4K
The magnetic flux measures the number of magnetic field lines passing through a given surface area. The SI unit for magnetic flux is the weber (Wb). Magnetic flux is a scalar quantity. It depends on three factors: the strength of the magnetic field B, the area through which the field lines pass, and the relative orientation of the field with the surface area.
Suppose a surface is divided into elements of area dA. For each element, the component of the magnetic field that is normal to the...
4.4K
Plane Electromagnetic Waves II01:29

Plane Electromagnetic Waves II

4.0K
Consider a plane wavefront traveling in position x-direction with a constant speed. This wavefront can be utilized to obtain the relationship between electric and magnetic fields with the help of Faraday's law.
4.0K
Plane Electromagnetic Waves I01:30

Plane Electromagnetic Waves I

4.8K
The existence of combined electric and magnetic fields that propagate through space as electromagnetic (EM) waves is the most significant prediction of Maxwell's equations. As Maxwell's equations hold in free space, the predicted electromagnetic waves do not require a medium for their propagation. An EM wave comprises an electric field, defined as the force per charge on a stationary charge, and a magnetic field, which is the force per charge on a moving charge.
The EM field is assumed to be a...
4.8K
Differential Form of Maxwell's Equations01:17

Differential Form of Maxwell's Equations

1.1K
James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Structural variant discovery and diagnostic impact in rare diseases from short-read and long-read sequencing.

medRxiv : the preprint server for health sciences·2026
Same author

General Intelligence-Based Fragmentation (GIF): A Framework for Peak-Labeled Spectra Simulation.

Analytical chemistry·2026
Same author

Pixelomics: The Omics-Style Interrogation of Whole Slide Images for Precision Pathology.

Advances in anatomic pathology·2026
Same author

Updates on Digital Pathology and Artificial Intelligence for Clinical Applications in Surgical Pathology.

Advances in anatomic pathology·2026
Same author

Challenges and Barriers in Implementing AI for Clinical Applications in Anatomic Pathology.

Advances in anatomic pathology·2026
Same author

Authors' Reply: Advancing Digital Pathology With Large Language Models.

Advances in anatomic pathology·2026
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: Jan 3, 2026

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.9K

Towards scaling elementary flux mode computation.

Ehsan Ullah1, Mona Yosafshahi1, Soha Hassoun2

  • 1Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar.

Briefings in Bioinformatics
|November 21, 2019
PubMed
Summary
This summary is machine-generated.

Elementary flux mode (EFM) analysis is crucial for cellular pathway studies but struggles with large models. This review explores computational bottlenecks and alternatives for scaling EFM analysis.

Keywords:
elementary flux mode analysiselementary flux modesparallel computingpathway analysisscalability

More Related Videos

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.3K
X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
10:16

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

14.3K

Related Experiment Videos

Last Updated: Jan 3, 2026

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.9K
Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.3K
X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
10:16

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

14.3K

Area of Science:

  • Systems Biology
  • Metabolic Engineering
  • Computational Biology

Background:

  • Elementary Flux Mode (EFM) analysis is a key computational method for understanding cellular pathways.
  • Current EFM computation methods face significant challenges when applied to genome-scale models, limiting their applicability.

Purpose of the Study:

  • To review computational bottlenecks in scaling Elementary Flux Mode (EFM) analysis.
  • To evaluate strategies for improving EFM computation efficiency.
  • To explore alternative pathway analysis methods.

Main Methods:

  • Review of existing algorithms for computing EFMs.
  • Evaluation of factors affecting EFM computation, including redundant constraints, constraint ordering, and network compression.
  • Assessment of parallelization and GPU-based approaches.
  • Review of alternative pathway analysis techniques.

Main Results:

  • EFM computation for genome-scale models remains computationally intensive.
  • Factors like redundant constraints and network structure significantly impact EFM computation.
  • Parallelization and GPU efforts show promise but haven't fully overcome scaling limitations.
  • Alternative pathway analysis methods offer viable solutions for specific pathway property investigations.

Conclusions:

  • Continued advancements in computational scaling are essential for applying EFM analysis to genome-scale models.
  • Alternative pathway analysis methods provide powerful complementary or substitute approaches to EFM analysis for specific biological questions.