Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Scalar Notation01:28

Scalar Notation

Scalar notation is a useful method for simplifying calculations involving vectors. When vectors are added or subtracted, their components can be added or subtracted separately using scalar notation. For instance, force, a vector quantity, can be broken down into its x and y components, called rectangular components, and then the magnitude and direction of these components can be determined using trigonometric functions.
Consider a man pulling a rope from a hook in the northeast direction. The...
Singularity Functions for Shear01:26

Singularity Functions for Shear

In structural analysis, singularity functions are crucial in simplifying the representation of shear forces in beams under discontinuous loading. These functions describe discontinuous variations in shear force across a beam with varying loads by using a single mathematical expression, regardless of the complexity of the loading conditions. The singularity functions are derived from creating a free-body diagram of the beam and then making conceptual cuts at specific points to examine the shear...
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.
Unusual Results01:16

Unusual Results

Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ  from the mean, μ  is considered unusual.
Maximum unusual value = μ + 2σ
Minimum unusual value...
Quarrying of Stone01:15

Quarrying of Stone

Quarrying is the process of extracting stone from a quarry, where specialized techniques are employed to remove large blocks of stone safely and efficiently. This process can involve controlled explosions or more precision-oriented methods such as cutting and drilling.
One common method involves using a diamond belt saw to cut large blocks from the quarry face. These blocks can be about 50 feet long and 12 feet high. After the initial vertical cut, drilling is performed at the base of the block.
Quartile01:15

Quartile

Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Spinal Cord Supports in Caecilian Vertebrae and Their Significance for Amphibian Systematics.

Journal of morphology·2026
Same author

Prospective Multi-Centre Photopatch Test Study of Photoallergy to Sunscreens and NSAIDs in Europe.

The British journal of dermatology·2026
Same author

Clarifying Xenacoelomorpha phylogeny: A polarized quartet-based analysis with SeaLion.

Gene·2026
Same author

Bayesian Inference Framework to Identify Skin Material Properties in vivo From Active Membranes.

Journal of biomechanical engineering·2026
Same author

Analysis and Interpretation of Somatic NMD-Escaping Variants in Oncogenes and Dual-Function Genes across Adult and Pediatric Cancer Cohorts.

medRxiv : the preprint server for health sciences·2025
Same author

Bayesian Inference Framework to Identify Skin Material Properties <i>in vivo</i> from Active Membranes.

bioRxiv : the preprint server for biology·2025
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

Related Experiment Video

Updated: May 24, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

SPARQL assist language-neutral query composer.

Luke McCarthy, Ben Vandervalk, Mark Wilkinson

    BMC Bioinformatics
    |March 1, 2012
    PubMed
    Summary
    This summary is machine-generated.

    SPARQL Assist simplifies Semantic Web data access by offering context-aware suggestions for SPARQL query construction. This tool aids users, regardless of expertise, in querying complex ontologies with multi-lingual support.

    More Related Videos

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    Related Experiment Videos

    Last Updated: May 24, 2026

    Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
    07:26

    Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

    Published on: March 19, 2018

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    Area of Science:

    • Bioinformatics
    • Semantic Web Technologies
    • Computational Biology

    Background:

    • SPARQL query composition is challenging for both novice and expert users, particularly with unfamiliar data models.
    • Opaque ontological term identifiers, mandated by best practices and internationalization, further complicate manual query synthesis.

    Purpose of the Study:

    • To develop a user-friendly tool for simplifying SPARQL query construction.
    • To enhance accessibility to Semantic Web resources for a broader user base.

    Main Methods:

    • Development of SPARQL Assist, a web application featuring context-sensitive type-ahead completion.
    • Leveraging multi-lingual labels and descriptions of ontological terms for suggestions.
    • Utilizing ontology semantics and query context to prioritize suggestions.

    Main Results:

    • SPARQL Assist provides intelligent, context-aware suggestions during SPARQL query construction.
    • The system supports internationalization and language-neutrality through multi-lingual term suggestions.
    • Prioritization of suggestions based on semantic relevance enhances query efficiency.

    Conclusions:

    • SPARQL Assist simplifies access to Semantic Web resources by easing manual SPARQL query construction.
    • The tool's focus on internationalization and controlled-natural-language interfaces promotes broader user adoption.
    • Early steps have been taken to make the Semantic Web more accessible globally.