the weaknesses of the traditional climatic classification methods in presenting the climatic realities of caspian region and showing the new methods' merits based on multivariate statistical methods, and geographical information system in presenting the climatic regions of caspian, are among the most important ideas of conducting this study. to do so, we used the data of synoptic stations ...

We will show that the singular cohomology groups of a smooth quasi-projective complex variety relative to normal crossing divisor can be described in terms delta-admissible chains. Roughly speaking, chain is simplicial semi-algebraic meeting faces properly. As an application, we Abel-Jacobi map for higher Chow cycles via example, describe Hodge realization polylog constructed by Bloch-Kriz map.

We study semi-classical limits of eigenfunctions of a quantized linear hyperbolic automorphism of the torus (“cat map”). For some values of Planck’s constant, the spectrum of the quantized map has large degeneracies. Our first goal in this paper is to show that these degeneracies are coupled to the existence of quantum symmetries. There is a commutative group of unitary operators on the state-s...

While a variety of persuasion agents have been created and applied in different domains such as marketing, military training and health industry, there is a lack of a model which can provide a unified framework for different persuasion strategies. Specifically, persuasion is not adaptable to the individuals’ personal states in different situations. Grounded in the Elaboration Likelihood Model (...

A generic smooth map of a closed 2k-manifold into (3k− 1)-space has a finite number of cusps (Σ-singularities). We determine the possible numbers of cusps of such maps. A fold map is a map with singular set consisting of only fold singularities (Σsingularities). Two fold maps are fold bordant if there are cobordisms between their sourceand target manifolds with a fold map extending the two maps...

In this paper, a theoretical framework for Bayesian adaptive training of the parameters of discrete hidden Markov model (DHMM) and of semi-continuous HMM (SCHMM) with Gaussian mixture state observation densities is presented. In addition to formulating the forward-backward MAP (maximum a posterion’) and the segmental MAP algorithms for estimating the above HMM parameters, a computationally effi...