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Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

700
Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
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Measurement: Derived Units03:02

Measurement: Derived Units

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The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
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Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
191
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

865
Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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Measurement: Standard Units03:38

Measurement: Standard Units

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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Updated: Oct 31, 2025

Measuring the Complete-arch Distortion of an Optical Dental Impression
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アルゴリズムで浸透した社会を測定する

Claudia Wagner1,2,3, Markus Strohmaier4,5,6, Alexandra Olteanu7,8

  • 1GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany. claudia.wagner@gesis.org.

Nature
|July 1, 2021
PubMed
まとめ
この要約は機械生成です。

アルゴリズムが浸透した社会を理解するには 新しい社会理論が必要です 信頼性の高い,監査可能な,公正な測定モデルを開発するには,質を保証し,害を軽減するための透明で参加的な方法が必要です.

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科学分野:

  • 社会科学
  • コンピュータ社会科学
  • 技術の社会学

背景:

  • 伝統的な社会科学理論や測定モデルは アルゴリズムの広範囲に及ぶ影響のために設計されたのではありません
  • "アルゴリズムに浸透した社会"の出現は 人間の行動や社会構造を理解する上で 新たな課題を提示しています
  • 既存のフレームワークは アルゴリズムと人間の行動による 社会的現実の共同形成に 苦労しています

研究 の 目的:

  • アルゴリズムに浸透した社会がもたらす課題,特に測定の質と理論的な限界に対処する.
  • アルゴリズムシステムの影響を統合した新しい社会理論の開発を提唱する.
  • 信頼性の高い,監査可能な,公正な測定モデルに関する要求事項を提案する.

主な方法:

  • アルゴリズムの影響の文脈における既存の社会科学の方法論の概念分析.
  • 新しい理論的枠組みとデータ統合の方法論の必要性についての議論.
  • 品質保証と害の特定を重視した透明で参加的な測定モデルの開発に関する提案

主要な成果:

  • 測定の質の不十分,測定ミスによる複雑な結果,そして現在の社会理論の限界を主要な課題として特定した.
  • アルゴリズムで浸透した社会を理解し分析するために新しい社会理論が不可欠であると主張した.
  • 透明で参加的な開発プロセスで信頼性があり,監査可能で公正な測定モデルの必要性を強調しました.

結論:

  • 計算社会科学者はアルゴリズムに浸透した社会における 測定戦略を再考しなければなりません
  • 将来の研究は,理論構築にデータを統合するための堅固な方法論の開発に重点を置くべきです.
  • 透明性,参加,そして倫理的な考慮を 測定開発に優先することは 社会科学の研究の進歩に不可欠です.