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

Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

494
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...
494
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

484
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
484
Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

11.6K
As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
11.6K

You might also read

Related Articles

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

Sort by
Same journal

Interplay Between Postural Stability and Coordination in Female Soccer Players With Chronic Ankle Instability.

Motor control·2026
Same journal

Muscle Synergies During Countermovement Jump: Comparing Athletes and Nonathletes.

Motor control·2026
Same journal

The Effect of Mental and Muscular Fatigue on Movement Variability in Dart Throwing: A UCM Analysis.

Motor control·2026
Same journal

Working Together: Synergistic Predictors of Dyadic Performance in a Shared Force-Production Task.

Motor control·2026
Same journal

Between a Rock and a Hard Place in Science: A Biographical Account of One Discovery.

Motor control·2026
Same journal

Reliability and Diurnal-Fatigability Effects on Force-Time Characteristics During Maximal Voluntary Handgrip Contractions.

Motor control·2026

Related Experiment Videos

Erratum: Liu et al. (2021)

    Motor Control
    |January 10, 2023
    PubMed
    Summary

    A correction was issued for a study on a generalized finger motion classification model. Table 3 in the original publication contained incorrect data, which has since been rectified in the online version.

    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Rehabilitation Technology

    Background:

    • Accurate classification of finger movements is crucial for developing advanced prosthetic devices and understanding motor control.
    • Existing models may face challenges in precision and reliability for diverse finger motion patterns.

    Purpose of the Study:

    • To address a data error in a previously published generalized finger motion classification model.
    • To ensure the accuracy and reliability of the motor unit voting-based classification system.

    Main Methods:

    • The study involved a generalized finger motion classification model.
    • The correction pertains to data presented in Table 3 of the original publication.

    Main Results:

    Related Experiment Videos

    • Table 3 of the original article contained inaccuracies.
    • The online version of the article has been updated with corrected data.

    Conclusions:

    • The correction ensures the integrity of the findings presented in the study.
    • The corrected data supports the validity of the generalized finger motion classification model.