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

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

450
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
450
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.7K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.7K
Circuit Terminology01:14

Circuit Terminology

2.7K
An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.
2.7K
Network Function of a Circuit01:25

Network Function of a Circuit

563
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.
563
Neural Circuits01:25

Neural Circuits

2.5K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.5K
Normal and Tangetial Components: Problem Solving01:24

Normal and Tangetial Components: Problem Solving

528
Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
528

You might also read

Related Articles

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

Sort by
Same author

Mixing Is Dispensable for Optical Density-Based High-Throughput Growth Screening Assay in Fission Yeast.

International journal of molecular sciences·2026
Same author

Exact and Asymptotic Counts of Binary Phylogenetic Networks with a Few Reticulation Events.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same author

On the Size of the Neighborhoods of a Word.

IEEE transactions on computational biology and bioinformatics·2025
Same author

DSA-DeepFM: a dual-stage attention-enhanced DeepFM model for predicting anticancer synergistic drug combinations.

Bioinformatics advances·2025
Same author

Simple k-RF Metrics for Comparison of Labeled DAGs.

IEEE transactions on computational biology and bioinformatics·2025
Same author

PhyloFusion-Fast and Easy Fusion of Rooted Phylogenetic Trees into Rooted Phylogenetic Networks.

Systematic biology·2025

Related Experiment Video

Updated: Jan 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.6K

Generating normal networks via leaf insertion and nearest neighbor interchange.

Louxin Zhang1

  • 1Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, Singapore, 119076, Singapore. matzlx@nus.edu.sg.

BMC Bioinformatics
|December 18, 2019
PubMed
Summary

Researchers developed a novel method to uniquely generate tree-child and normal phylogenetic networks. This advances the understanding and enumeration of these complex structures in theoretical population genetics.

Keywords:
Tree-child networksnormal networks

More Related Videos

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

1.4K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.7K

Related Experiment Videos

Last Updated: Jan 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.6K
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

1.4K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.7K

Area of Science:

  • Theoretical Population Genetics
  • Computational Biology
  • Phylogenetics

Background:

  • Galled trees serve as a model for recombination in theoretical population genetics.
  • Phylogenetic networks, including tree-child and normal networks, are generalizations of galled trees.
  • The topological structures of these networks are not fully understood.

Purpose of the Study:

  • To develop a method for the unique generation of tree-child and normal phylogenetic networks.
  • To generalize enumeration procedures from phylogenetic trees to normal networks.
  • To derive formulas for counting normal and single-reticulate phylogenetic networks.

Main Methods:

  • Generalizing the insertion method used for phylogenetic trees.
  • Defining three operations for generating networks with k reticulate nodes from networks with k-1 or k reticulate nodes.
  • Applying the generation method to count binary phylogenetic networks with one reticulate node.

Main Results:

  • All tree-child and normal networks with k reticulate nodes on n taxa can be uniquely generated from networks with fewer reticulate nodes.
  • A formula is derived for the number of binary phylogenetic networks with one reticulate node on n taxa.
  • The study provides a generalized enumeration procedure for normal networks.

Conclusions:

  • The work contributes a method for understanding and enumerating normal phylogenetic networks.
  • Simple formulas are provided for counting normal networks and phylogenetic networks with a single reticulate node.
  • This research enhances the topological understanding of phylogenetic networks.