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

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.1K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.1K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

884
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
884
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

44.8K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
44.8K
Norton's Theorem01:14

Norton's Theorem

773
Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the...
773
IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

12.4K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
12.4K
Quantum Numbers02:43

Quantum Numbers

37.6K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
37.6K

You might also read

Related Articles

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

Sort by
Same author

A Successfully Treated Case of <i>Mycobacterium chelonae</i> Pulmonary Infection and a Literature Review (1990-2025).

Infection and drug resistance·2026
Same author

BO-LSTM-Based TDE Precise Estimation Model of Capacitive MEMS-Gyros Using Thermal-Induced Physical Characteristics Variation Analysis.

Micromachines·2026
Same author

The Upregulation of AIM2 in the Central Nucleus of the Amygdala Correlates with Pain Induced by Tooth Movement.

International journal of molecular sciences·2026
Same author

A Mild and DNA-Compatible Cyclization Strategy for the Construction of [1,2,4]Triazolo[1,5-<i>a</i>]pyridine Scaffolds.

Organic letters·2026
Same author

Selective Inhibition of Glioma Cells In Vivo via Low Intensity Ultrasound.

Ultrasound in medicine & biology·2026
Same author

Purification and Anti-Inflammatory Activity of Walnut Exosome-like Nanoparticles.

Foods (Basel, Switzerland)·2026
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

659

Entanglement-based quantum digital signatures over a deployed campus network: erratum.

Joseph C Chapman, Muneer Alshowkan, Bing Qi

    Optics Express
    |August 13, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study corrects minor errors in Table 1 and system simulations, leading to small revisions in figures and tables. The core experimental findings and conclusions remain unaffected by these updates.

    More Related Videos

    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
    05:39

    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

    Published on: August 2, 2019

    9.7K
    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
    07:56

    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

    Published on: September 5, 2019

    8.6K

    Related Experiment Videos

    Last Updated: Sep 11, 2025

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
    05:30

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

    Published on: September 8, 2023

    659
    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
    05:39

    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

    Published on: August 2, 2019

    9.7K
    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
    07:56

    A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

    Published on: September 5, 2019

    8.6K

    Area of Science:

    • Optics and Photonics

    Background:

    • A previous study published in Opt. Express (32, 7521 (2024)) presented findings on an improved system.

    Purpose of the Study:

    • To address and correct minor inaccuracies identified in Table 1 and system simulations.
    • To ensure the fidelity of published data and simulation results.

    Main Methods:

    • Correction of a data entry error in Table 1.
    • Adjustment of simulation parameters to rectify a minor error in the improved system's performance modeling.

    Main Results:

    • Minor revisions were made to Figure 6 and Table 1.
    • The corrected data and simulations reflect a more accurate representation of the improved system.

    Conclusions:

    • The identified errors were minor and did not impact the overall experimental measurements.
    • The fundamental conclusions drawn from the original work remain valid and are supported by the corrected data.