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

Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.3K
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...
4.3K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

5.5K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
5.5K
Problem Solving: Dimensional Analysis01:08

Problem Solving: Dimensional Analysis

3.5K
Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
3.5K
Dimensional Analysis01:23

Dimensional Analysis

910
Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
910
Parallel Processing01:20

Parallel Processing

179
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
179
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

189
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
189

You might also read

Related Articles

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

Sort by
Same author

Association of Successful Recanalization and Functional Outcomes in Minor Ischemic Stroke With Proven Occlusion: A Secondary Analysis of TEMPO-2 Trial.

Stroke·2026
Same author

Introducing the Minimally Invasive Novel Open Revascularization - The "MINOR" Approach - To Improve Outcomes in Lower and Upper Limb Arterial Bypass Surgery.

Annals of vascular surgery·2026
Same author

Microcirculatory Collaterals Modulate Ischemic Core Heterogeneity on Diffusion-Weighted Imaging.

AJNR. American journal of neuroradiology·2026
Same author

Superficial vein thrombosis (thrombophlebitis): far from benign.

The British journal of general practice : the journal of the Royal College of General Practitioners·2026
Same author

Same-territory chronic infarcts are common in intracranial atherosclerosis and are associated with future recurrence.

BMJ neurology open·2026
Same author

Foam Sclerotherapy for Varicose Veins: Too Much Foam, Too Many Cannulae?

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2026
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Jul 16, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K

Nathan Selikoff: Explorations in Higher Dimensionality and Complexity.

Nathan Selikoff, Bruce D Campbell, Francesca Samsel

    IEEE Computer Graphics and Applications
    |September 14, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This article explores Nathan Selikoff's innovative approach to visualizing complex, high-dimensional data. His work offers unique insights into sensing the imperceptible within intricate datasets.

    More Related Videos

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
    05:12

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

    Published on: January 16, 2019

    11.5K
    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
    08:59

    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

    Published on: October 28, 2018

    7.1K

    Related Experiment Videos

    Last Updated: Jul 16, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.6K
    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
    05:12

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

    Published on: January 16, 2019

    11.5K
    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
    08:59

    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

    Published on: October 28, 2018

    7.1K

    Area of Science:

    • Data Science
    • Information Visualization
    • Complexity Science

    Background:

    • Data scientists increasingly handle high-dimensional datasets.
    • Traditional visualization methods struggle with extreme data complexity.
    • Nathan Selikoff's research offers novel perspectives.

    Purpose of the Study:

    • To explore Selikoff's unique approach to visualizing complexity.
    • To understand the relationship between higher dimensions and data sensing.
    • To highlight innovative methods for perceiving the imperceptible in data.

    Main Methods:

    • Interview with data visualization professional Nathan Selikoff.
    • Analysis of Selikoff's perspective on data complexity and visualization.
    • Exploration of methods for sensing beyond conventional data analysis.

    Main Results:

    • Selikoff's work provides a unique perspective on high-dimensional data.
    • His approach addresses the limitations of current visualization techniques.
    • The research highlights the potential for sensing the unseeable in complex data.

    Conclusions:

    • Selikoff's pursuit of visualizing complexity offers valuable insights.
    • Innovative visualization strategies are crucial for understanding extreme data.
    • Further exploration of his methods could advance data science and visualization.