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Related Concept Videos

Retrieval01:12

Retrieval

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Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
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In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
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How Data are Classified: Numerical Data00:59

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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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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 Reporting and Recording01:24

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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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Data Collection I01:30

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Related Experiment Video

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Retrieval of Mouse Oocytes
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Data Retrieval.

Francisco M Couto1

  • 1LASIGE, Department of Informatics, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.

Advances in Experimental Medicine and Biology
|June 12, 2019
PubMed
Summary
This summary is machine-generated.

Learn to automate data retrieval from online databases using shell scripts. This guide provides step-by-step instructions to efficiently access and link information from various sources, enhancing your data mining skills.

Keywords:
Data extractionData filteringData selectionPattern matchingTerminal applicationUnix shellWeb retrievalXML: extensible markup languageXPath: XML path languagecURL: Client Uniform Resource Locator

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Area of Science:

  • Computer Science
  • Bioinformatics
  • Data Science

Background:

  • Manual data retrieval from online databases is time-consuming and prone to errors.
  • Automating data extraction is crucial for efficient research and large-scale data analysis.

Purpose of the Study:

  • To provide a practical guide on automating text and data retrieval from online databases.
  • To introduce and explain essential shell script commands for data extraction and linking.

Main Methods:

  • Demonstration of a manual text retrieval process.
  • Step-by-step implementation of shell script commands to automate each stage of data retrieval.
  • Explanation of commands for accessing online databases and following hyperlinks.

Main Results:

  • Successful automation of a data retrieval example.
  • Readers gain foundational skills in using shell scripts for data acquisition.
  • Demonstrated ability to link data from primary sources to secondary literature.

Conclusions:

  • Shell scripting offers an efficient method for automating data retrieval from online databases.
  • The provided methods empower researchers to systematically collect and integrate information.
  • Acquiring these skills is vital for modern data-intensive scientific research.