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Related Concept Videos

Virtual Work01:20

Virtual Work

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The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
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Principle of Virtual Work: Problem Solving01:13

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The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
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Gene-Environment Interactions01:20

Gene-Environment Interactions

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Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
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Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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Background and Environment Affect Phenotype02:27

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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
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Transmission-based Precautions II: Airborne and Protective Environment01:25

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Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
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Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
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Saliency in VR: How Do People Explore Virtual Environments?

Vincent Sitzmann, Ana Serrano, Amy Pavel

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    Researchers studied how users explore virtual reality (VR) environments. They found a specific fixation bias in VR viewing behavior, which helps improve saliency prediction models for immersive content.

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    Area of Science:

    • Computer Vision
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Virtual reality (VR) viewing differs significantly from desktop conditions due to stereoscopic vision and kinematic constraints.
    • Existing saliency models are primarily developed for desktop viewing and may not accurately predict attention in VR.

    Purpose of the Study:

    • To understand user exploration behavior and visual attention in immersive virtual environments.
    • To adapt existing saliency prediction models for virtual reality applications.

    Main Methods:

    • Collected gaze and head orientation data from 169 users exploring stereoscopic, omni-directional panoramas.
    • Analyzed 1980 head and gaze trajectories across three distinct viewing conditions.
    • Identified a specific fixation bias in VR viewing patterns.

    Main Results:

    • Discovered a unique fixation bias influencing user exploration in VR.
    • Adapted existing saliency predictors to better suit immersive VR conditions based on the fixation bias.
    • Demonstrated potential applications in VR video processing and content optimization.

    Conclusions:

    • User viewing behavior in VR exhibits distinct characteristics, including a notable fixation bias.
    • The identified bias is crucial for enhancing saliency prediction in virtual reality.
    • The collected data and analysis offer valuable insights for VR content design and computational modeling.