This research aims to investigate the effect of conservative reporting on the investors' opinion divergence at the time of earnings announcement in a 5 year period during 2012-2016; the required data have been collected from Tehran Securities and Stock Exchange Organization and the population is consisted of 585 corporates-years which have been selected by the systematic removal sampling. To in...

A conforming representation composed of two-dimensional finite elements and finite Fourier series is applied to three-dimensional nonlinear non-ideal magnetohydrodynamics using a semi-implicit time-advance. The self-adjoint semi-implicit operator and variational approach to spatial discretization are synergistic and enable simulation in the extremely stiff conditions found in high temperature p...

Novel environments often impose directional selection for a new phenotypic optimum. Novel environments, however, can also change the distribution of phenotypes exposed to selection by inducing phenotypic plasticity. Plasticity can produce phenotypes that either align with or oppose the direction of selection. When plasticity and selection are parallel, plasticity is considered adaptive because ...

We investigate the selective forces that promote the emergence of modularity in nature. We demonstrate the spontaneous emergence of modularity in a population of individuals that evolve in a changing environment. We show that the level of modularity correlates with the rapidity and severity of environmental change. The modularity arises as a synergistic response to the noise in the environment ...

Pixel level image fusion refers to the processing and synergistic combination of information gathered by various imaging sources to provide a better understanding of a scene. We formulate the image fusion as an optimization problem and propose an information theoretic approach in a multiscale framework to obtain its solution. A biorthogonal wavelet transform of each source image is first calcul...

Restricted Boltzmann Machines are increasingly popular tools for unsupervised learning. They are very general, can cope with missing data and are used to pretrain deep learning machines. RBMs learn a generative model of the data distribution. As exact gradient ascent on the data likelihood is infeasible, typically Markov Chain Monte Carlo approximations to the gradient such as Contrastive Diver...

Variable selection via penalized estimation is appealing for dimension reduction. For penalized linear regression, Efron, et al. (2004) introduced the LARS algorithm. Recently, the coordinate descent (CD) algorithm was developed by Friedman, et al. (2007) for penalized linear regression and penalized logistic regression and was shown to gain computational superiority. This paper explores...

the alluvial fan of shahdaad in derakhtangaan river is one of the biggest alluvial fans in a dry area in northeastern kerman. this alluvial fan has been formed due to different material erosions in the drainage basin of derakhtangaan river and lying of these materials in the extreme part of this basin called dasht-e-lut (the plain of lut). the region which has been studied in this research is o...

Compressible gas flow inside a convergent-divergent nozzle and its exhaust plume atdifferent nozzle pressure ratios (NPR) have been numerically studied with severalturbulence models. The numerical results reveal that, the SST k–ω model give the bestresults compared with other models in time and accuracy. The effect of changes in value ofdivergence half-angle (ε ) on the nozzle performance, thru...