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Related Concept Videos

Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

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 problem,...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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...
Fischer Projections02:18

Fischer Projections

Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
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Implicit Personality Theories

Implicit personality theory explains how individuals make assumptions about the relationships between personality traits, behaviors, and character types. When people learn that someone possesses a particular trait, they tend to infer the presence of other related characteristics, forming a cohesive impression. This cognitive shortcut plays a crucial role in social interactions and interpersonal judgments.Central Traits and Their InfluenceSolomon Asch's seminal 1946 study highlighted the power...
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Overview
Social Facilitation01:04

Social Facilitation

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Related Experiment Video

Updated: May 7, 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

Interactive exploration of implicit and explicit relations in faceted datasets.

Jian Zhao1, Christopher Collins, Fanny Chevalier

  • 1University of Toronto.

IEEE Transactions on Visualization and Computer Graphics
|September 21, 2013
PubMed
Summary

PivotSlice is an interactive visualization tool enabling efficient faceted browsing and relationship discovery in complex datasets. It simplifies data exploration through direct manipulation and multi-scale views, aiding researchers in understanding intricate data structures.

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Last Updated: May 7, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Published on: January 2, 2011

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Area of Science:

  • Information Visualization
  • Data Science
  • Human-Computer Interaction

Background:

  • Scientific literature collections and other large datasets contain complex, heterogeneous facets and relational references.
  • Exploring these datasets is challenging due to scale, structural complexity, and semantic nuances.
  • Existing methods often struggle with efficient faceted browsing and relationship discovery.

Purpose of the Study:

  • To introduce PivotSlice, an interactive visualization technique for efficient faceted browsing and relationship discovery.
  • To provide users with flexible capabilities for exploring complex data structures and semantics.
  • To enhance the sensemaking process through intuitive data manipulation and visual feedback.

Main Methods:

  • PivotSlice employs a direct manipulation metaphor for constructing dynamic queries.
  • It utilizes a multi-focus and multi-scale tabular view to subdivide datasets.
  • Features include live search, online data integration, interaction histories, and animated transitions.

Main Results:

  • A qualitative lab study with university researchers demonstrated PivotSlice's effectiveness.
  • Participants could visually and logically construct queries and discover data relationships.
  • The technique facilitates sensemaking in complex information visualization literature repositories.

Conclusions:

  • PivotSlice offers an efficient and flexible approach to exploring heterogeneous, large-scale datasets.
  • The direct manipulation and multi-scale views enhance user understanding of data relationships.
  • The technique shows promise for various domains requiring complex data exploration and sensemaking.