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    Color discrimination in Caspian pony

    , Article Ippologia ; Volume 19, Issue 1 , 2008 , Pages 27-37 ; 11205776 (ISSN) Ahmadinejad, M ; Pishkar, J ; Asadi, M. R ; Abavisani, A ; Mahadavi, A ; Hassani Bafarani, A. R ; Sharif University of Technology
    2008
    Abstract
    Although an early and influential review led to the often-cited conclusion that color vision is rare among mammals, more recent findings suggest that it is actually widespread. According to Jacobs (1993, 2004), all non-nocturnal mammalian species that have been adequately examined show some color vision capacity, although the degree varies enormously. Data on the presence and characteristics of color vision in the horse, however, remain sparse (and almost none in the case of ponies). Eight Caspian pony (four mares and four stallions) were presented with a series of two-choice color vs. grey discrimination problems. Experiments were performed in a box of 3×3 meter containing a wall with two... 

    Neural networks in analytical chemistry

    , Article Methods in Molecular Biology ; Volume 458 , 2008 , Pages 81-121 ; 10643745 (ISSN); 9781588297181 (ISBN) Jalali-Heravi, M ; Sharif University of Technology
    2008
    Abstract
    This chapter covers a part of the spectrum of neural-network uses in analytical chemistry. Different architectures of neural networks are described briefly. The chapter focuses on the development of three-layer artificial neural network for modeling the anti-HIV activity of the HETP derivatives and activity parameters (pIC 50) of heparanase inhibitors. The use of a genetic algorithm-kernel partial least squares algorithm combined with an artificial neural network (GA-KPLS-ANN) is described for predicting the activities of a series of aromatic sulfonamides. The retention behavior of terpenes and volatile organic compounds and predicting the response surface of different detection systems are...