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Related Concept Videos

Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

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...
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Mismatch Repair01:36

Mismatch Repair

Overview
Mismatch Repair01:20

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.

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Related Experiment Video

Updated: Jun 30, 2026

Skeletal Phenotype Analysis of a Conditional Stat3 Deletion Mouse Model
08:42

Skeletal Phenotype Analysis of a Conditional Stat3 Deletion Mouse Model

Published on: July 3, 2020

Erratum regarding missing statements in previously published articles

    Journal of Clinical Orthopaedics and Trauma
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study corrects previously published article DOIs. These corrections ensure accurate citation and retrieval of scientific literature. Researchers should verify DOIs for precise referencing.

    Related Experiment Videos

    Last Updated: Jun 30, 2026

    Skeletal Phenotype Analysis of a Conditional Stat3 Deletion Mouse Model
    08:42

    Skeletal Phenotype Analysis of a Conditional Stat3 Deletion Mouse Model

    Published on: July 3, 2020

    Area of Science:

    • Bibliometrics
    • Scholarly Communication
    • Scientific Publishing

    Background:

    • Accurate citation is fundamental to scientific integrity and reproducibility.
    • Digital Object Identifiers (DOIs) are crucial for uniquely identifying and linking research articles.
    • Errors in DOIs can impede literature searches and hinder the proper attribution of scholarly work.

    Purpose of the Study:

    • To provide corrected Digital Object Identifiers (DOIs) for a set of published articles.
    • To ensure the accurate referencing and accessibility of scientific literature.
    • To maintain the integrity of the scientific record.

    Main Methods:

    • Cross-referencing published article information with official DOI registration databases.
    • Identifying and verifying discrepancies in previously assigned DOIs.
    • Issuing official corrections to the scholarly communication infrastructure.

    Main Results:

    • A list of corrected DOIs for multiple articles has been established.
    • Accurate links to the specified research articles are now available.
    • The corrected DOIs facilitate proper citation and retrieval.

    Conclusions:

    • The correction of DOIs is essential for maintaining a reliable scientific literature database.
    • Accurate DOIs support the principles of open science and scholarly transparency.
    • These corrections will enhance the discoverability and usability of the affected research.