5 research outputs found

    Λ\LambdaCDM, Λ\LambdaDGP and extended phantom-like cosmologies

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    In this paper we compare outcomes of some extended phantom-like cosmologies with each other and also with Λ\LambdaCDM\, and Λ\LambdaDGP. We focus on the variation of the luminosity distances, the age of the universe and the deceleration parameter versus the redshift in these scenarios. In a dynamical system approach, we show that the accelerating phase of the universe in the f(R)f(R)-DGP scenario is stable if one consider the \emph{curvature fluid} as a phantom scalar field in the equivalent scalar-tensor theory, otherwise it is a transient and unstable phenomenon. Up to the parameters values adopted in this paper, the extended F(R,ϕ)F(R,\phi)-DGP scenario is closer to the Λ\LambdaCDM scenario than other proposed models. All of these scenarios explain the late-time cosmic speed-up in their normal DGP branches, but the redshift at which transition to the accelerating phase occurs are different: while the Λ\LambdaDGP model transits to the accelerating phase much earlier, the F(R,ϕ)F(R,\phi)-DGP model transits to this phase much later than other scenarios. Also, within the parameter spaces adopted in this paper, the age of the universe in the f(R)f(R)-DGP model is larger than Λ\LambdaCDM, but this age in F(G,ϕ)F(G,\phi)-DGP is smaller than Λ\LambdaCDM.Comment: 37 pages, 6 figures, accepted for publication in Astrophyics and Space Scienc

    Iranian Emotional Face Database: Acquisition and Validation of a Stimulus Set of Basic Facial Expressions

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    Facial expressions play an essential role in social interactions. Databases of face images have furnished theories of emotion perception, as well as having applications in other disciplines such as facial recognition technology. However, the faces of many ethnicities remain largely underrepresented in the existing face databases, which can impact the generalizability of the theories and technologies developed based on them. Here, we present the first survey-validated database of Iranian faces. It consists of 248 images from 40 Iranian individuals portraying six motional expressions – anger, sadness, fear, disgust, happiness, and surprise – as well as the neutral state. The photos were taken in a studio setting, following the common scenarios of emotion induction, and controlling for conditions of lighting, camera set up, and model's head posture. An evaluation survey confirmed a high agreement between the models’ intended expressions and the raters’ perception of them. The database is freely available online for academic research purposes

    Iranian Emotional Face Database

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    Iranian Emotional Face Database is a set of images containing 248 face images displaying seven different facial emotional expressions including neutral, happy, sad, angry, disgusted, fearful and surprised. All images have been taken under the constant situation of lighting and camera set up from 40 individuals (25 male and 15 female in the age between 18-35)
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