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Related Concept Videos

Data Collection III01:05

Data Collection III

The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Data Collection I01:30

Data Collection I

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 data...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Reporting and Recording01:24

Data Reporting and Recording

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...
Introduction to Scalers01:21

Introduction to Scalers

Many familiar physical quantities can be specified completely by giving a single number and the appropriate unit. For example, "a class period lasts 50 min," or "the gas tank in my car holds 65 L," or "the distance between the two posts is 100 m." A physical quantity that can be specified completely in this manner is called a scalar quantity. The word "scalar" is a synonym for "number." Time, mass, distance, length, volume, temperature, and energy are some examples of scalar quantities.
Scalar...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...

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Updated: Jun 4, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Focus issue: conquering the data mountain.

Nancy R Gough, Michael B Yaffe

    Science Signaling
    |February 18, 2011
    PubMed
    Summary
    This summary is machine-generated.

    High-throughput technologies generate vast cell signaling data. Developing standards for data reliability, storage, sharing, and analysis is crucial for researchers to manage this information deluge effectively.

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    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
    12:08

    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

    Published on: August 13, 2014

    Area of Science:

    • Cellular regulation and signaling pathways.
    • Genomics, proteomics, and posttranslational modifications.

    Background:

    • High-throughput technologies accelerate data generation in cell signaling research.
    • Diverse data types include protein-protein interactions, gene expression, and protein abundance.
    • Global analyses of posttranslational modifications are increasingly common.

    Discussion:

    • The rapid increase in data presents significant challenges for the scientific community.
    • Need for robust standards in data reliability assessment and annotation.
    • Development of adequate facilities for data storage and sharing mechanisms is essential.

    Key Insights:

    • Effective data analysis and visualization tools are critical for interpreting complex datasets.
    • Addressing the 'data deluge' requires community-wide collaboration and infrastructure development.
    • Standardization is key to ensuring the reproducibility and utility of cell signaling data.

    Outlook:

    • Future research depends on establishing best practices for data management.
    • Advancements in bioinformatics and computational tools will aid in data interpretation.
    • This issue of Science Signaling addresses critical aspects of managing and utilizing large-scale biological data.