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相关概念视频

Emission Spectra02:39

Emission Spectra

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When solids, liquids, or condensed gases are heated sufficiently, they radiate some of the excess energy as light. Photons produced in this manner have a range of energies, and thereby produce a continuous spectrum in which an unbroken series of wavelengths is present.
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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State Space Representation01:27

State Space Representation

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
596
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

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The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
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Control Volume and System Representations01:16

Control Volume and System Representations

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Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
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Fineness of Cement01:15

Fineness of Cement

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The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
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Updated: Feb 10, 2026

Determining the Mechanical Strength of Ultra-Fine-Grained Metals
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Determining the Mechanical Strength of Ultra-Fine-Grained Metals

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FLARE:细粒度的学习用于对准光谱-分子表示增强代谢物注释.

Yan Zhou Chen, Blake Rushing, Soha Hassoun

    bioRxiv : the preprint server for biology
    |February 9, 2026
    PubMed
    概括

    通过使用细粒度学习,FLARE通过将质谱数据与分子结构对齐来改进代谢物注释. 这种新的方法提高了非目标代谢学的准确性,为复杂的生物样本提供了更好的洞察力.

    科学领域:

    • 化学 化学 化学
    • 计算生物学 计算生物学
    • 生物化学 生物化学

    背景情况:

    • 代谢学依赖于精确的代谢物注释,这与双重质谱学具有挑战性.
    • 当前的隐性模型在嵌入空间中对准了光谱和结构,但错过了详细的峰值-亚结构关系.

    研究的目的:

    • 引入FLARE (细粒度学习对准光谱-分子表示) 以改善代谢物注释.
    • 杆双向峰节点对齐用于化学上有意义的局部对应.

    主要方法:

    • 开发了一个对比学习框架 (FLARE).
    • 在学习弱监督下使用双向峰节点对齐.
    • 通过最大值对峰到原子和原子到峰相互作用进行计算的相似性.

    主要成果:

    • 在MassSpecGym上取得了最先进的表现 (43.15%的排名@1基于质量,22.66%基于配方).
    • 在准确度上,超过63%的精度超过了以前的模型.
    • 证明FLARE的学习嵌入与分子类和指纹相似性相关.

    结论:

    • 通过捕捉局部化学关系,FLARE可以实现可解释的光谱-分子匹配.

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  • 在乳腺癌异种移植研究中成功检测出差异性代谢物,突出了转化潜力.