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Scaling01:26

Scaling

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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In the case of circular motion, the linear tangential speed of a particle at a radius from the axis of rotation is related to the angular velocity by the relation:
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Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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通过概念缩放来追踪真相.

Lukas S Huber1, David-Elias Künstle2, Kevin Reuter3

  • 1University of Bern, Switzerland; University of Tübingen, Germany.

Cognition
|September 20, 2025
PubMed
概括
此摘要是机器生成的。

人们通过空间关系来理解真理,主要与对应性,真实性和连贯性理论保持一致. 许多人把这些概念混合在一起,表现出对真理的微妙看法.

关键词:
一致性 一致性概念 概念 概念 概念概念上的缩放.通信 通信 通信嵌入式 嵌入式 嵌入式顺序性比较 顺序性比较多元主义 多元主义.心理物理学的精神物理.真相 真理 真理 真理 真理

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科学领域:

  • 认知心理学 认知心理学
  • 思想的哲学 思想的哲学

背景情况:

  • 真理的概念随着文化和智力转变而演变.
  • 了解世俗人对真理的不同观点至关重要.

研究的目的:

  • 实证地调查平民对真理的理解.
  • 识别真理理论中的主导概念化和变化.

主要方法:

  • 概念缩放方法来绘制个人对真理的理解.
  • 概念地图中的空间关系被用作度量.
  • 后续研究证实了研究结果的有效性和稳定性.

主要成果:

  • 参与者主要倾向于信件,其次是真实性,然后是真理的连贯性理论.
  • 观察到显著的个体差异,许多人支持理论的混合 (例如,对应性和真实性).
  • 主导的概念对齐可靠地预测了在上下文任务中的真理应用.

结论:

  • 普通人对真理的理解是多方面的,经常混合不同的理论概念.
  • 通信仍然是一个主要的,但不是唯一的,构想真理的框架.
  • 真理概念化中的个人差异是实质性的和可预测的.