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

Machines: Problem Solving I01:22

Machines: Problem Solving I

295
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
295
Machines: Problem Solving II01:30

Machines: Problem Solving II

288
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
288
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

435
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
435
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

623
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
623
Machines01:19

Machines

243
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
243

You might also read

Related Articles

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

Sort by
Same author

Experimental validation of structured beam properties under convectively induced optical turbulence.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same author

Modelization theory for vectorial structured light.

Optics letters·2026
Same author

Roadmap on singular optics and its applications.

Applied physics. B, Lasers and optics·2026
Same author

Strengthening JOSA A-our new topical editors in action: editorial.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same author

Radial similarity measures for vectorial structured light.

Optics letters·2026
Same author

Orbital mode structure of random vectorial light beams.

Optics letters·2025
Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
See all related articles

Related Experiment Video

Updated: May 30, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

761

Acceptance criteria for contributions involving machine learning/artificial intelligence methods: editorial.

Markus Testorf, Svetlana Avramov-Zamurovic, Olga Korotkova

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |January 31, 2025
    PubMed
    Summary
    This summary is machine-generated.

    We outline clear acceptance criteria for scientific articles using machine learning and artificial intelligence. This guidance addresses the growing interest in these advanced computational methods.

    More Related Videos

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    478
    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
    12:18

    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

    Published on: January 11, 2020

    7.4K

    Related Experiment Videos

    Last Updated: May 30, 2025

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
    05:49

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

    Published on: February 23, 2024

    761
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    478
    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
    12:18

    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

    Published on: January 11, 2020

    7.4K

    Area of Science:

    • Computer Science
    • Biomedical Research

    Background:

    • Increasing integration of machine learning (ML) and artificial intelligence (AI) in scientific research.
    • Need for standardized evaluation of ML/AI methodologies in publications.

    Purpose of the Study:

    • To define and clarify acceptance criteria for manuscripts utilizing machine learning and artificial intelligence.
    • To provide a framework for researchers and reviewers evaluating ML/AI-driven studies.

    Main Methods:

    • Review of current publication standards for computational methods.
    • Analysis of common challenges and pitfalls in ML/AI research reporting.
    • Development of a checklist for submission requirements.

    Main Results:

    • Established clear guidelines for data handling, model validation, and result interpretation.
    • Defined requirements for code availability and reproducibility.
    • Outlined ethical considerations specific to AI and ML applications.

    Conclusions:

    • Standardized criteria will enhance the rigor and reproducibility of ML/AI research.
    • Clear guidelines facilitate the peer-review process for complex computational studies.
    • Adoption of these criteria will promote trustworthy AI and ML integration in science.