Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mass Analyzers: Common Types

Mass Analyzers: Common Types

The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...

You might also read

Related Articles

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

Sort by

Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026

Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026

Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026

Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026

Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026

Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 12, 2025

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Nested Pattern Detection and Unidimensional Process Characterization.

Gerardo L Febres¹

¹Departamento de Procesos y Sistemas, Universidad Simón Bolívar, Sartenejas, Baruta 1080, Miranda, Venezuela.

Entropy (Basel, Switzerland)

|September 27, 2024

Summary

This summary is machine-generated.

This study presents a new method, the Nested Repeated Sequence Decomposition Model (NRSDM), to analyze long texts by identifying repeating patterns. This model effectively characterizes complex, non-periodic processes using sequence decomposition.

Keywords:

entropy information nested patterns ordered structure patterns redundancy

More Related Videos

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Related Experiment Videos

Last Updated: Jun 12, 2025

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Area of Science:

Data analysis
Complex systems analysis
Signal processing

Background:

Traditional methods like Fourier transforms struggle with non-periodic and chaotic data.
Describing complex behaviors in unidimensional processes requires novel analytical tools.

Purpose of the Study:

To introduce a new model for text analysis based on repeating symbol patterns.
To develop algorithms for decomposing text into nested, tree-like structures of sequences.
To provide a tool for characterizing complex, non-periodic, and chaotic processes.

Main Methods:

Converting real-number value series into text.
Applying tailored algorithms to identify repeated sequences.
Decomposing text into nested tree-like structures using the Nested Repeated Sequence Decomposition Model (NRSDM).

Main Results:

The NRSDM successfully decomposes texts into nested structures of repeating symbols.
The model is particularly effective for oscillatory, non-periodic, and chaotic processes.
Graphical representations enhance the characterization of unidimensional process behaviors.

Conclusions:

The NRSDM offers a powerful alternative for analyzing complex data where traditional methods fail.
The model and its associated graphical tools provide a promising approach for understanding unidimensional processes.