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Related Concept Videos

Determination of Expected Frequency01:08

Determination of Expected Frequency

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Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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Frequency Response of BJT01:24

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The frequency response of a Bipolar Junction Transistor (BJT) in a common-emitter configuration is critical to its functionality, especially in applications involving amplification of alternating current (AC) signals. This response can be analyzed through low-frequency and high-frequency equivalent circuits, considering various internal parameters and external conditions.
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Frequency Response of a Circuit01:20

Frequency Response of a Circuit

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Inductive circuits present intriguing challenges in electrical engineering, particularly during the transition from the time domain to the frequency domain. This transformation involves converting inductors into impedances and utilizing phasor representation.
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Frequency Response of Op Amp Circuits01:20

Frequency Response of Op Amp Circuits

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Operational amplifiers (op-amp) are used in signal conditioning, filtering, or for performing mathematical operations such as addition, subtraction, integration, and differentiation. The frequency response of an op-amp is an important aspect that describes how the gain of the amplifier varies with frequency.
Frequency Response and Gain:
The gain of the op-amp, A(ω), is not a constant but a function of the input signal frequency. An op-amp can maintain a constant gain at low frequencies, known...
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Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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Frequency-dependent Selection01:21

Frequency-dependent Selection

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Measuring Respiratory Function in Mice Using Unrestrained Whole-body Plethysmography
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Aortic Frequency Response Determination via Bioimpedance Plethysmography.

Roman Kusche, Arthur-Vincent Lindenberg, Sebastian Hauschild

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    |March 8, 2019
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    This study introduces a non-invasive method to measure aortic pulse wave velocity and extract aortic condition information. The approach uses bioimpedance plethysmography, offering a harmless and easy alternative to current techniques.

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    Area of Science:

    • Biomedical Engineering
    • Cardiovascular Physiology

    Background:

    • Arterial stiffness is a key predictor of cardiovascular events.
    • Current methods for assessing aortic condition rely on peripheral pulse wave measurements, limiting direct aortic evaluation.

    Purpose of the Study:

    • To develop a non-invasive technique for measuring aortic pulse wave velocity.
    • To extract additional information about aortic conditions from pulse wave signals.

    Main Methods:

    • Modeled the aorta as an electrical equivalent circuit.
    • Utilized non-invasive bioimpedance plethysmography at the aortic arch and inguinal region.
    • Developed a digital algorithm to convert measurements into system parameters.

    Main Results:

    • The proposed approach generated realistic aortic frequency responses.
    • Preliminary study on three subjects showed feasibility.

    Conclusions:

    • The novel approach offers a non-invasive, harmless, and easily executable solution for assessing aortic conditions.
    • Further research with more complex models and larger cohorts is recommended.