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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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...
Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
Circuit Terminology01:14

Circuit Terminology

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.
Mesh Analysis01:20

Mesh Analysis

Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
Network Function of a Circuit01:25

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.
Block Diagram Reduction01:22

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...

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Related Experiment Video

Updated: Jun 17, 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

Analyzing and reconstructing reticulation networks under timing constraints.

Simone Linz1, Charles Semple, Tanja Stadler

  • 1Department of Computer Science, University of California, Davis, CA, USA. linzs@cs.ucdavis.edu

Journal of Mathematical Biology
|December 29, 2009
PubMed
Summary
This summary is machine-generated.

Reconstructing evolutionary history with reticulation networks can be challenging as they are not always temporal. This study shows transforming non-temporal networks is NP-complete and introduces TemporalHybrid for temporal hybridization network reconstruction.

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Last Updated: Jun 17, 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

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RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Area of Science:

  • Evolutionary biology
  • Computational phylogenetics
  • Bioinformatics

Background:

  • Reticulation networks model species evolution with events like hybridization and horizontal gene transfer.
  • Reconstructed networks often lack temporal constraints, complicating evolutionary interpretations.
  • Temporal networks require instantaneous reticulations and successive speciations.

Purpose of the Study:

  • To investigate the computational complexity of making reticulation networks temporal.
  • To develop an algorithm for reconstructing temporal hybridization networks from gene trees.
  • To provide methods for determining the existence of such networks.

Main Methods:

  • Proved that determining the sufficiency of additional taxa to temporalize a network is NP-complete.
  • Developed the TemporalHybrid algorithm for reconstructing temporal hybridization networks from two gene trees.
  • Derived two methods to assess the existence of a temporal hybridization network for two trees.

Main Results:

  • The problem of temporalizing reticulation networks by adding taxa is NP-complete.
  • The TemporalHybrid algorithm can reconstruct temporal hybridization networks or determine non-existence.
  • Two decision methods for temporal network existence were derived and tested on grass data.

Conclusions:

  • Temporal constraints are crucial for accurate evolutionary network reconstruction.
  • The NP-completeness result highlights the difficulty of temporalizing existing networks.
  • TemporalHybrid offers a computational solution for inferring temporal hybridization histories.