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Conversion of Units01:36

Conversion of Units

38.8K
Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles.
The first step in the unit conversion is to list the given units and the units required...
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Units and Standards of Measurement01:10

Units and Standards of Measurement

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A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
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Units and Standards of Measurement01:10

Units and Standards of Measurement

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SI Units: 2019 Redefinition01:13

SI Units: 2019 Redefinition

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Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined...
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Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Improving Interoperability by Incorporating UnitsML Into Markup Languages.

Ismet Celebi1, Robert A Dragoset1, Karen J Olsen1

  • 1Physics Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899.

Journal of Research of the National Institute of Standards and Technology
|May 3, 2016
PubMed
Summary
This summary is machine-generated.

Maintaining analytical data integrity is crucial. A new standard, Analytical Information Markup Language (AnIML), uses XML to store spectroscopy and chromatography data with metadata, ensuring data usability.

Keywords:
AnIMLMarkup LanguageScientific Units of MeasureUnitsMLWeb servicesXMLanalytical experimentsdata storagedevice integrationinteroperability

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Area of Science:

  • Analytical Chemistry
  • Data Science
  • Information Technology

Background:

  • Maintaining the integrity of analytical data over time is a significant challenge.
  • The digital age has exacerbated data integrity issues, often separating analytical data from crucial metadata.
  • Loss of connection between scientific metadata and analytical data can render results useless.

Purpose of the Study:

  • To address the challenge of maintaining analytical data integrity in the digital age.
  • To introduce a new standard for interchanging and storing spectroscopy and chromatography data.
  • To ensure the usability and accessibility of scientific data over time.

Main Methods:

  • Development of the Analytical Information Markup Language (AnIML) based on XML.
  • Incorporation of UnitsML, a general markup language for units, into AnIML.
  • Utilizing computer-useable tags within XML to describe data and metadata.

Main Results:

  • AnIML provides a standardized method for storing and interchanging analytical data.
  • UnitsML ensures consistent handling of units across different data domains.
  • The integration of UnitsML into AnIML facilitates the preservation of data context.

Conclusions:

  • AnIML, combined with UnitsML, offers a robust solution for preserving analytical data integrity.
  • This approach enhances the reliability and reusability of scientific data.
  • Standardized data representation is essential for scientific advancement and data sharing.