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Related Concept Videos

Three-Winding Transformers01:19

Three-Winding Transformers

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Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
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Design Example: Alignment of a Road Line Using GIS01:17

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Updated: Feb 2, 2026

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The long and winding road to patient data, interoperablility.

Rachel Z Arndt

    Modern Healthcare
    |November 27, 2018
    PubMed
    Summary

    True data interoperability is hindered because information remains locked within documents. Overcoming this requires new methods for extracting and utilizing data from various document formats.

    Area of Science:

    • Computer Science
    • Information Science
    • Data Management

    Background:

    • Achieving seamless data exchange across different systems (interoperability) is a persistent challenge in scientific research and data management.
    • Current data storage methods often confine valuable information within static documents, limiting its accessibility and reusability.

    Purpose of the Study:

    • To investigate the limitations imposed by document-centric data storage on achieving true data interoperability.
    • To explore potential solutions for liberating data trapped in documents and enhancing its accessibility for computational analysis.

    Main Methods:

    • Analysis of common document formats and their data containment structures.
    • Review of existing data extraction and natural language processing techniques.

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  • Conceptualization of a framework for structured data representation from unstructured documents.

    • Main Results:

    • Documents act as significant barriers to data interoperability, preventing efficient data sharing and integration.
    • Current data extraction tools often lack the sophistication to handle diverse document types and complex data relationships.
    • A proposed framework could enable better data extraction and management from documents.

    Conclusions:

    • True data interoperability is significantly hampered by the prevalence of data locked within documents.
    • Developing advanced methods for data extraction and structuring from documents is crucial for advancing scientific data management and research.
    • Future work should focus on implementing and validating frameworks for document data liberation.