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Related Concept Videos

Schemas01:42

Schemas

A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
Schemata01:17

Schemata

A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
Two types of schemata are:
ER Retrieval Pathway01:45

ER Retrieval Pathway

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.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...

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Related Experiment Video

Updated: Jun 9, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

vSPARQL: a view definition language for the semantic web.

Marianne Shaw1, Landon T Detwiler, Natalya Noy

  • 1University of Washington, Computer Science and Engineering, Box 352350, Seattle, WA 98195, USA. mar@cs.washington.edu

Journal of Biomedical Informatics
|August 31, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces vSPARQL, a novel view definition language for reusing semantic web data. It enables translational medicine applications to efficiently access and restructure biological and biomedical information.

Related Experiment Videos

Last Updated: Jun 9, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Area of Science:

  • Bioinformatics
  • Semantic Web Technologies
  • Data Management

Background:

  • Translational medicine requires access to diverse biological and biomedical data.
  • Existing semantic web data integration methods can be complex.
  • Need for efficient data reuse and restructuring.

Purpose of the Study:

  • To present a general solution for reusing RDF information sets.
  • To introduce vSPARQL, a view definition language for semantic web data.
  • To enable applications to specify and restructure desired content.

Main Methods:

  • Developed a view definition language, vSPARQL.
  • Inspired the design by database views.
  • Applications query against view definitions to access data.
  • Evaluated expressivity by defining practical use cases.

Main Results:

  • vSPARQL allows precise specification of content.
  • The language supports restructuring and modification of data.
  • Demonstrated practical use cases for semantic web data reuse.
  • Compared vSPARQL's expressivity to existing query languages.

Conclusions:

  • vSPARQL offers a flexible approach for accessing and manipulating semantic web data.
  • Facilitates the integration of biological and biomedical ontologies for translational medicine.
  • Enhances data usability and reusability in biomedical research.