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

What is Variation?01:14

What is Variation?

18.4K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.4K
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

27.6K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
27.6K
Variation01:19

Variation

8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.8K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.8K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

4.1K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.1K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.7K

You might also read

Related Articles

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

Sort by
Same author

Survey of the updated Oxygen line list in the HITRAN2024 spectroscopic database.

Journal of quantitative spectroscopy & radiative transfer·2026
Same author

Measured active rotational-vibrational energy levels (MARVEL) analysis of high-resolution rovibrational spectra of H<sup>12</sup>C<sup>14</sup>N.

Communications chemistry·2026
Same author

Spin-Orbit-Induced Nonadiabatic Dynamics: An Exact Ω Representation.

Journal of chemical theory and computation·2026
Same author

Competition between radiative and predissociative decay mechanisms in excited electronic states of CH radical.

Physical chemistry chemical physics : PCCP·2026
Same author

First Principles Rovibronic Absorption Spectra of HF Molecule.

Journal of computational chemistry·2026
Same author

Electron scattering on carbon monoxide: An optimization of target molecular orbitals.

The Journal of chemical physics·2026
Same journal

Localization and delocalization of defect states in 2D polyaramid with carbon and nitrogen vacancies.

Physical chemistry chemical physics : PCCP·2026
Same journal

The impact of macrocyclization: electronic structures and excited state dynamics of pillar[4]arene[1]quinone.

Physical chemistry chemical physics : PCCP·2026
Same journal

Tuning the transport properties of penta-graphene nanoribbons.

Physical chemistry chemical physics : PCCP·2026
Same journal

High-throughput screening of M-based layered compounds as solid-state electrolytes for chloride-ion batteries.

Physical chemistry chemical physics : PCCP·2026
Same journal

Lower bound of the capacitance of constant phase elements based on electrochemical impedance spectra.

Physical chemistry chemical physics : PCCP·2026
Same journal

Stability constants of lanthanide-nitrate complexes in aqueous solutions: a theoretical study.

Physical chemistry chemical physics : PCCP·2026
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

1.0K

A variationally computed room temperature line list for AsH3.

Phillip A Coles1, Sergei N Yurchenko, Richard P Kovacich

  • 1Department of Physics & Astronomy, University College London, London WC1E 6BT, UK. j.tennyson@ucl.ac.uk.

Physical Chemistry Chemical Physics : PCCP
|January 26, 2019
PubMed
Summary
This summary is machine-generated.

This study precisely calculates arsine

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.6K

Related Experiment Videos

Last Updated: Jan 30, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

1.0K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.6K

Area of Science:

  • Molecular Spectroscopy
  • Computational Chemistry
  • Quantum Mechanics

Background:

  • Accurate molecular modeling is crucial for understanding chemical properties.
  • Spectroscopic data provides vital insights into molecular structure and dynamics.
  • Previous calculations for arsine lacked the desired accuracy.

Purpose of the Study:

  • To compute highly accurate rotation-vibration energy levels and transition intensities for arsine.
  • To refine theoretical models using experimental data for improved predictive power.
  • To generate a reliable dipole moment surface for arsine.

Main Methods:

  • Ab initio electronic structure calculations to generate a potential energy surface (PES).
  • Refinement of the PES using experimental spectroscopic data.
  • Calculation of rovibrational states and absolute line intensities using the refined PES and a new dipole moment surface (DMS).

Main Results:

  • Achieved sub-wavenumber accuracy for arsine energy levels up to 6500 cm-1.
  • Reproduced 578 experimental energies with a root-mean-square error of 0.122 cm-1.
  • Computed dipole moment surface accurately predicts experimental line intensities for ν1 and ν3 bands within 10% uncertainty.

Conclusions:

  • The refined theoretical model provides highly accurate predictions for arsine's spectroscopic properties.
  • The calculated absorption cross-sections align well with experimental measurements.
  • This work offers a valuable resource for future studies involving arsine spectroscopy.