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相关概念视频

Per-Unit Sequence Models01:26

Per-Unit Sequence Models

116
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
116
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

140
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
140
Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

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Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area...
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Improving Translational Accuracy02:07

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Basic Discrete Time Signals01:16

Basic Discrete Time Signals

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The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
302
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
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与可扩展,可解释的高斯过程学习序列-函数关系

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    科学领域:

    • 遗传学和生物信息学
    • 计算生物学
    • 系统生物学

    背景情况:

    • 了解基因型-表型关系在遗传学中至关重要,但由表观症 (上下文依赖的突变效应) 复杂化.
    • 高通量表型生成大数据集,但标准模型难以普遍化和解释.
    • 深度神经网络提供灵活性,但缺乏可解释性和不确定性量化.

    研究的目的:

    • 介绍一个可解释的序列函数关系的高斯过程模型的新型家族.
    • 采用灵活的先前分布来捕捉体能景观模型.
    • 为探索复杂的遗传相互作用提供可扩展和可解释的方法.

    主要方法:

    • 开发了可解释的高斯过程模型,具有灵活的先前分布以模型表达.
    • 纳入位点,等位基因和突变特异性因素以量化表性影响.
    • 使用GPU加速以扩展到大型数据集 (蛋白质,RNA,全基因组SNP).

    主要成果:

    • 在大型生物序列数据集上取得了卓越的预测性能.
    • 产生可解释的模型参数,恢复已知的遗传特征.
    • 发现了新的表观相互作用,为基因型-表型图提供了新的见解.

    结论:

    • 开发的高斯过程模型为研究序列-函数关系提供了可扩展和可解释的方法.
    • 这些模型有效地捕捉了表观性,并提供了更深入的基因型-表型图.
    • 这些方法适用于各种生物系统,包括DNA,RNA和蛋白质序列.