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Related Concept Videos

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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What is a Frequency Distribution00:51

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A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...
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Mean From a Frequency Distribution01:11

Mean From a Frequency Distribution

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Sometimes, data gathered from an experiment on a large sample or population are organized into concise tables. In such cases, the frequency of the quantitative data set is plotted in the form of a table. Or else, the data values are grouped into the quantity’s intervals, which form classes, and their respective frequencies are known. That is, the data values are distributed over different categories or classes. This is known as frequency distribution.
When such a data set is encountered,...
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Muscle Stimulation Frequency01:22

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The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
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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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Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Generation and Coherent Control of Pulsed Quantum Frequency Combs

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Fully digital programmable optical frequency comb generation and application.

Xianglei Yan, Xihua Zou, Wei Pan

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    This summary is machine-generated.

    A new digital method creates programmable optical frequency combs (OFCs) by phase-modulating light waves. This technique allows precise control over comb spacing and line count, enabling applications like advanced sensing.

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    Area of Science:

    • Photonics and Optical Engineering
    • Digital Signal Processing
    • Metrology

    Background:

    • Optical frequency combs (OFCs) are crucial for precise measurements but often require complex setups.
    • Existing OFC generation methods can lack flexibility in controlling spectral characteristics.

    Purpose of the Study:

    • To introduce a fully digital, programmable optical frequency comb (OFC) generation scheme.
    • To demonstrate the tunability of comb spacing and the number of comb lines.
    • To showcase the system's stability and potential applications in sensing.

    Main Methods:

    • Utilizing binary phase-sampling modulation with optimized bit sequences.
    • Phase modulation of a narrow-linewidth light wave.
    • Digital programming of bit sequences to control OFC parameters.

    Main Results:

    • Achieved programmable OFCs with tunable comb spacing (1-100 MHz) and line counts (19-1001 lines).
    • Demonstrated ultra-flat spectral envelopes and uniform temporal envelopes.
    • Implemented a scanning-free temperature sensing system with 0.89°C/MHz sensitivity.

    Conclusions:

    • The proposed digital OFC generation scheme offers unprecedented programmability and stability.
    • This flexible approach opens new avenues for optical metrology and sensing applications.
    • The system's bias-free and stable nature simplifies practical implementation.