Perceptual learning is a training induced improvement in performance. Mechanisms underlying the perceptual learning of depth discrimination in dynamic random dot stereograms were examined by assessing stereothresholds as a function of decorrelation. The inflection point of the decorrelation function was defined as the level of decorrelation corresponding to 1.4 times the threshold when decorrel...

The paper is devoted to an inner problem for a whispering gallery high-frequency asymptotic mode’s scattering by boundary inflection. related boundary-value Schrödinger equation on half-line with potential linear in both space and time turns out be fundamental describing transitions from modal scattered patterns, despite having been intensively studied over several decades remains largely unsol...

We present an efficient geometric algorithm for conic spline curve fitting and fairing through conic arc scaling. Given a set of planar points, we first construct a tangent continuous conic spline by interpolating the points with a quadratic Bézier spline curve or fitting the data with a smooth arc spline. The arc spline can be represented as a piecewise quadratic rational Bézier spline curve. ...

We studied the dynamical phase transition in kinetic Ising ferromagnets driven by oscillating magnetic field in meanfield approximation. The meanfield differential equation was solved by sixth order Runge-KuttaFelberg method. We calculated the transition temperature as a function of amplitude and frequency of oscillating field. This was plotted against field amplitude taking frequency as a para...

We present a new constraint on the biased galaxy formation picture. Gravitational instability theory predicts that the two-point mass density correlation function, ξ(r), has an inflection point at the separation r = ro, corresponding to the boundary between the linear and nonlinear regime of clustering, ξ ≃ 1. We show how this feature can be used to constrain the biasing parameter, b ≡ ξg(r)/ξ(...