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

Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

2.2K
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
2.2K
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

856
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
856
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

17.2K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
17.2K
Rapidly Varying Flow01:24

Rapidly Varying Flow

637
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
637
Review and Preview01:13

Review and Preview

12.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
12.2K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

2.0K
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Safety and hemodynamic efficacy of the LVIS stent in the endovascular treatment of intracranial wide-necked aneurysms: a single-center retrospective study.

Chinese neurosurgical journal·2026
Same author

Stability analysis of the primary reflector of the 500 mm aperture ultra-lightweight millimeter wave satellite antenna for observing solar flare.

Scientific reports·2026
Same author

Lamellar-Paracrystallinity-Controlled Thermal Transport in Polymer Semiconductors.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

BiasField: Interactive Bias Probing of Machine Learning Datasets.

IEEE transactions on visualization and computer graphics·2026
Same author

Slow-wave sleep engages brainstem circuitry to prevent stress-induced anxiety.

Neuron·2026
Same author

Synergistic physical confinement and chemical adsorption in yolk-Shell Ni@NC nanoreactors for enhanced photothermal CO<sub>2</sub> methanation.

Journal of colloid and interface science·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
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

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

Related Experiment Video

Updated: Mar 28, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K

Online Visual Analytics of Text Streams.

Shixia Liu, Jialun Yin, Xiting Wang

    IEEE Transactions on Visualization and Computer Graphics
    |December 25, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a visual analytics method for exploring topic evolution in text streams. It tracks representative topics over time, offering insights into dynamic data patterns.

    More Related Videos

    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
    08:53

    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

    Published on: May 31, 2019

    5.9K
    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
    09:27

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

    Published on: October 13, 2018

    10.9K

    Related Experiment Videos

    Last Updated: Mar 28, 2026

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.6K
    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
    08:53

    Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

    Published on: May 31, 2019

    5.9K
    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
    09:27

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

    Published on: October 13, 2018

    10.9K

    Area of Science:

    • Information Science
    • Computer Science
    • Data Visualization

    Background:

    • Analyzing high-volume text streams presents challenges in understanding evolving topics.
    • Existing methods may struggle with dynamic, hierarchical data structures.

    Purpose of the Study:

    • To develop an online visual analytics approach for exploring hierarchical topic evolution.
    • To enable users to understand changes in topics within high-volume text streams over time.

    Main Methods:

    • Learning streaming tree cuts from topic trees using a dynamic Bayesian network.
    • Aligning representative topics from incoming documents with existing ones.
    • Employing a sedimentation-based visualization for interactive analysis.

    Main Results:

    • The approach successfully identifies and tracks representative topics in evolving text streams.
    • The dynamic Bayesian network balances tree cut fitness and smoothness.
    • The visualization facilitates exploration from global patterns to local details.

    Conclusions:

    • The presented visual analytics approach effectively aids in understanding hierarchical topic evolution.
    • The method is suitable for interactive analysis of streaming text data.
    • Evaluation on real-world datasets shows favorable results.