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

Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Rules for Defining Functions01:29

Rules for Defining Functions

A relation is a function if each input x is associated with exactly one output y. For example, the equation      y = 2x + 5 defines a function because every value of x yields a unique y. However, x = y² + 1 is not a function of x, since a single x-value, such as x = 2, corresponds to two possible y-values: y = 1 and y = -1.The vertical line test helps determine whether a graph represents a function. If a vertical line intersects a curve more than once, the curve fails the test and does not...
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
Deductive Reasoning01:16

Deductive Reasoning

Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...

You might also read

Related Articles

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

Sort by
Same author

An updated inventory of rock glaciers in the Eastern Himalaya.

Scientific data·2026
Same author

Effects of different polysaccharides on the anti-Retrogradation of buckwheat Wantuan.

Food chemistry: X·2026
Same author

Reversing immunotherapy resistance in cold tumors by weaponizing pyroptosis with a dual-payload nanotuner.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Observation of Structural Transition and Metallization in a van der Waals Diamagnet ZnPS<sub>3</sub> via Pressure Manipulation.

ACS omega·2026
Same author

High circular dichroism response predicted by deep learning in chiral metasurfaces.

Applied optics·2026
Same author

Endothelial SP1 lactylation promotes bronchopulmonary dysplasia via regulation of Cdkn1a expression.

Scientific reports·2026
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

IEEE transactions on visualization and computer graphics·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Videos

RuleScope: Semantic-Aware Authoring of Data Validation Rules.

Zhongsu Luo, Di Weng, Jiawen Zhu

    IEEE Transactions on Visualization and Computer Graphics
    |May 26, 2026
    PubMed
    Summary
    This summary is machine-generated.

    RuleScope introduces an interactive system for authoring data validation rules. It uses a Large Language Model (LLM) workflow for semantic-aware rule generation, enhancing data reliability in analytics.

    Related Experiment Videos

    Area of Science:

    • Data Science
    • Human-Computer Interaction

    Background:

    • Data validation is essential for reliable data analytics, often relying on predefined rules.
    • Current automated rule generation methods lack interpretability and user control.
    • Manual rule creation requires deep understanding of data structures and semantics.

    Purpose of the Study:

    • To present RuleScope, an interactive system for authoring data validation rules.
    • To address limitations in interpretability and adaptability of existing automated approaches.
    • To improve the process of creating and refining data validation rules.

    Main Methods:

    • Developed an LLM-based workflow for semantic-aware rule generation and analysis.
    • Designed a matrix-based visualization for rule comprehension and validation result analysis.
    • Incorporated interactive refinement capabilities for user-driven rule adaptation.

    Main Results:

    • The LLM-based workflow demonstrated effectiveness across diverse datasets.
    • RuleScope enhances rule interpretability and user comprehension.
    • User studies confirmed the system's usability and effectiveness in authoring validation rules.

    Conclusions:

    • RuleScope offers a novel, interactive approach to data validation rule authoring.
    • The system leverages LLMs and visualization for more accessible and adaptable data validation.
    • This work advances the field of data quality assurance in analytics workflows.