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Related Concept Videos

Mesh Analysis01:20

Mesh Analysis

1.5K
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
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Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

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Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
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Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

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In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
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The Concept of Multiple Allelism
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Multiple Regression01:25

Multiple Regression

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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Multiple Voltage Sources01:25

Multiple Voltage Sources

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Generally, a single battery is not enough to power some devices. In such cases, batteries can be combined in two ways: in series or in parallel.
In series, the positive terminal of one battery is connected to the negative terminal of another battery. Hence, the voltage of each battery is added to give the net voltage, which is increased because each battery boosts the electrons that enter it. The same current flows through each battery because they are connected in series.
Batteries are...
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Updated: Feb 5, 2026

Application of a New Mesh Fixation Method in Laparoscopic Incisional Hernia Repair
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Genealogical-based method for multiple ontology self-extension in MeSH.

Yu-Wen Guo, Yi-Tsung Tang, Hung-Yu Kao

    IEEE Transactions on Nanobioscience
    |June 4, 2014
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    Summary
    This summary is machine-generated.

    This study introduces a novel genealogical method to automatically extend biomedical ontologies like MeSH. The approach enhances bio-curator efficiency by systematically identifying and adding new terms, improving literature searching.

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    Area of Science:

    • Biomedical informatics
    • Life sciences
    • Medical Subject Headings (MeSH)

    Background:

    • Biomedical ontologies are crucial for annotating life science data and improving literature searches.
    • Rapid data growth necessitates automatic methods for extending existing ontologies with new terms and concepts.
    • Current term extension techniques often lack specificity, focusing on general ontology parts rather than precise additions.

    Purpose of the Study:

    • To develop a novel method for automatically extending biomedical ontologies using their inherent genealogical structure.
    • To improve the systematic enhancement of text-based ontologies by bio-curators.
    • To identify suitable sibling terms for ontology extension based on hierarchical relationships.

    Main Methods:

    • Utilized genealogical information within the ontology itself to discover potential new terms.
    • Implemented a sibling generation stage considering ontology breadth and depth.
    • Employed a pruning strategy to refine the selection of generated sibling terms.

    Main Results:

    • The genealogical-based method achieved an average precision of 0.5.
    • The method demonstrated a high performance of 0.83 precision in the "Organisms" category.
    • Successfully identified 229 new terms with an average precision of 0.69 for the MeSH 2013 version.

    Conclusions:

    • Genealogical information provides a valuable resource for automated ontology extension.
    • The proposed method offers a systematic and precise approach to enriching biomedical ontologies.
    • This technique can significantly aid bio-curators in maintaining and expanding large-scale terminologies like MeSH.