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

Long Division of Polynomials01:26

Long Division of Polynomials

390
Polynomial division is an essential algebraic process to simplify expressions and solve equations. Just as numerical division separates a number into quotient and remainder, polynomial long division partitions a polynomial into simpler components; in this context, the dividend is the polynomial being divided, the divisor is the expression dividing it, and the result is expressed in terms of a quotient and a remainder.The division begins by arranging the dividend and divisor in standard...
390
Real Zeros of Polynomials01:27

Real Zeros of Polynomials

195
Polynomials are algebraic expressions of terms with variables raised to non-negative integer powers. A central aspect of analyzing polynomial functions is determining their real zeros—values of the variable for which the polynomial evaluates to zero. These values represent the x-intercepts of the polynomial’s graph.The Rational Zeros Theorem lists possible rational solutions for a polynomial equation with integer coefficients. If f(x)=anxn+....+a0​, then every rational zero is...
195
Introduction to Polynomial Functions01:26

Introduction to Polynomial Functions

299
Polynomial functions are fundamental elements in algebra and calculus, defined by expressions that combine variables and constants through addition, subtraction, and multiplication, with the variable raised to nonnegative integer exponents. A general polynomial function of degree n is given byWhere an ≠ 0. The term anxn is the leading term, and an is the leading coefficient, while a0 is referred to as the constant term.Characteristics and ClassificationPolynomials are categorized by their...
299
Synthetic Disvision of Polynomials01:28

Synthetic Disvision of Polynomials

197
Synthetic division is an efficient algorithmic approach for dividing a polynomial by a linear binomial of the form x - c, where c is a real number. This method is helpful due to its streamlined process, which avoids the more cumbersome steps involved in the traditional long division of polynomials. It simplifies computation and serves as a practical tool for evaluating polynomials and identifying their factors.To perform synthetic division, one begins by listing the coefficients of the...
197
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K

You might also read

Related Articles

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

Sort by
Same author

Lactic acid bacteria and their importance in the biopreservation of meat and meat product: a review.

Brazilian journal of biology = Revista brasleira de biologia·2026
Same author

SURVEILLANCE OF ENVIRONMENTAL DOSE RATE WITH THE COVARIANCE MATRIX.

Radiation protection dosimetry·2018
Same author

ADVANCED SURVEILLANCE OF ENVIROMENTAL RADIATION IN AUTOMATIC NETWORKS.

Radiation protection dosimetry·2017
Same author

Refractory Pseudomonas Bacteremia in a 2-Year-Old Sterilized by Bacteriophage Therapy.

Journal of the Pediatric Infectious Diseases Society·2017
Same author

Three millennia of heavy rainfalls in Western Mediterranean: frequency, seasonality and atmospheric drivers.

Scientific reports·2016
Same author

The Influence of Radon (Gas and Progeny) and Weather Conditions on Ambient Dose Equivalent Rate.

Radiation protection dosimetry·2016
Same journal

Development of CaSO4: Dy-based ring badge for extremity dose monitoring of radiation workers in India.

Radiation protection dosimetry·2026
Same journal

A proposal for a differentiated radiation protection program for the decommissioning of nuclear power plants compared to the operation of nuclear power plants.

Radiation protection dosimetry·2026
Same journal

A three-dimensional neutron localization method based on double-scattering imaging and reconstruction algorithm.

Radiation protection dosimetry·2026
Same journal

Effect of 131I biodistribution on measurements using a scanning whole-body counter.

Radiation protection dosimetry·2026
Same journal

Activity concentration of 137Cs and natural radionuclides in soil around the Belarusian nuclear power plant in the pre-commissioning period.

Radiation protection dosimetry·2026
Same journal

Novel passive-adaptive exoskeleton-supported radiation protection equipment with enhanced shielding and reduced perceived weight.

Radiation protection dosimetry·2026
See all related articles

Related Experiment Video

Updated: Feb 13, 2026

Functional Interrogation of Adult Hypothalamic Neurogenesis with Focal Radiological Inhibition
11:45

Functional Interrogation of Adult Hypothalamic Neurogenesis with Focal Radiological Inhibition

Published on: November 14, 2013

12.6K

USING THE HERMITE POLYNOMIALS IN RADIOLOGICAL MONITORING NETWORKS.

G Benito1, J C Sáez1, J B Blázquez1

  • 1Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, CIEMAT, Madrid, Spain.

Radiation Protection Dosimetry
|March 20, 2018
PubMed
Summary
This summary is machine-generated.

High radiation doses in monitoring networks create non-Gaussian distributions. A new method using Hermite polynomials estimates the probability of exceeding two standard deviations, revealing a ~6% occurrence, crucial for setting alarm levels.

More Related Videos

In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks
07:14

In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks

Published on: June 20, 2025

946
Monitoring Acupuncture Effects on Human Brain by fMRI
09:55

Monitoring Acupuncture Effects on Human Brain by fMRI

Published on: April 8, 2010

16.0K

Related Experiment Videos

Last Updated: Feb 13, 2026

Functional Interrogation of Adult Hypothalamic Neurogenesis with Focal Radiological Inhibition
11:45

Functional Interrogation of Adult Hypothalamic Neurogenesis with Focal Radiological Inhibition

Published on: November 14, 2013

12.6K
In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks
07:14

In situ Photo-rheology Monitors Viscoelastic Changes in Photo-responsive Polymer Networks

Published on: June 20, 2025

946
Monitoring Acupuncture Effects on Human Brain by fMRI
09:55

Monitoring Acupuncture Effects on Human Brain by fMRI

Published on: April 8, 2010

16.0K

Area of Science:

  • Environmental Science
  • Radiological Monitoring
  • Statistical Analysis

Background:

  • Radiological Monitoring Networks detect significant events through high dose values, specifically H*(10).
  • Elevated radiation doses lead to skewed probability density functions (PDFs), deviating from a normal (Gaussian) distribution.

Purpose of the Study:

  • To propose a method for surveilling higher radiation doses.
  • To estimate the probability of doses exceeding two standard deviations from the mean.
  • To assess the implications for designing alarm levels in radiological monitoring.

Main Methods:

  • Utilized Hermite polynomials to reconstruct the probability density function (PDF) of radiation dose records.
  • Calculated the probability of exceeding doses greater than two standard deviations above the mean.

Main Results:

  • The estimated probability of exceeding two standard deviations is approximately 6% ± 1%.
  • This value is significantly higher than the 2.5% expected for a Gaussian distribution.
  • The findings highlight the non-Gaussian nature of high-dose events in radiological monitoring.

Conclusions:

  • The probability of high radiation doses is substantially greater than predicted by Gaussian models.
  • The developed method and findings are relevant for optimizing alarm level design in radiological monitoring systems.
  • Accurate PDF reconstruction is key to understanding and managing risks associated with high radiation doses.