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Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Diana Baumrind's four parenting styles — authoritarian, authoritative, neglectful, and permissive — each influence children's socio-emotional development differently.
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Jeffrey Simpson's attachment theory suggests that early caregiver relationships shape lasting patterns of behavior and emotional regulation, known as attachment styles. These patterns are organized along two key dimensions: self-esteem and interpersonal trust. The intersection of these dimensions produces four primary attachment styles that typically persist throughout life and significantly influence how individuals form and maintain relationships.Secure Attachment StyleIndividuals with a...
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Attachment theory, developed initially to explain infant–caregiver bonds, has been extended to illuminate patterns of intimacy in adult romantic relationships. Psychologists Cindy Hazan and Phillip Shaver proposed that the attachment styles observed in infancy form a framework for how individuals approach emotional closeness and conflict in adulthood. These attachment styles—secure, avoidant, and anxious—are linked to enduring patterns of behavior and emotional regulation in...
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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
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Searching the Visual Style and Structure of D3 Visualizations.

Enamul Hoque, Maneesh Agrawala

    IEEE Transactions on Visualization and Computer Graphics
    |August 24, 2019
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    Summary
    This summary is machine-generated.

    We developed a search engine for D3 visualizations, enabling queries by visual style and structure. This tool helps developers find and analyze chart designs more effectively than keyword-based searches.

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    Area of Science:

    • Computer Science
    • Information Visualization

    Background:

    • D3.js is a popular JavaScript library for creating data visualizations.
    • Finding specific D3 visualization designs can be challenging using traditional search methods.

    Purpose of the Study:

    • To introduce a novel search engine for D3 visualizations.
    • To enable searching based on visual style and underlying data structure.
    • To facilitate the exploration of visualization design space and identify design patterns.

    Main Methods:

    • Crawled 7860 D3 visualizations from the web.
    • Deconstructed visualizations to extract data, data-encoding marks, and attribute mappings.
    • Extracted non-data-encoding attributes and webpage metadata.
    • Indexed style, structure, and metadata for search functionality.

    Main Results:

    • Developed a search engine indexing visualization style and structure.
    • Demonstrated its utility for visualization developers and researchers.
    • Identified commonly used visual design patterns through demographic analysis.

    Conclusions:

    • The style and structure-based search engine is significantly more useful for finding D3 chart designs.
    • It outperforms baseline keyword search engines for visualization discovery.
    • The engine aids in exploring design possibilities and understanding design trends.