In this paper we discuss and compare methods to analyse the influence inter-cell interference will have on coverage/outage probabilities in cellular networks. The framework is based on a common method to find the Laplace transform of the distribution of interference from neighbouring cells. It turns out that for Suzuki distributed fading the analysis is highly simplified. In case of Rayleigh fa...

There have been dramatic structural changes in the U.S. hog industry in the last two decades that have coincided with substantial increases in farm productivity. This study used a stochastic frontier analysis to measure TFP growth between 1992 and 2004 and to decompose the TFP growth into four components: technical change and changes in technical efficiency, scale efficiency, and allocative eff...

In this paper we propose an extension of the self-consistent charge-density-functional tight-binding ~SCCDFTB! method @M. Elstner et al., Phys. Rev. B 58, 7260 ~1998!#, which allows the calculation of the optical properties of finite systems within time-dependent density-functional response theory ~TD-DFRT!. For a test set of small organic molecules low-lying singlet excitation energies are com...

In this paper we propose a new algorithm to perform clustering of multivariate and functional data. We study the case of two populations different in their covariances, rather than in their means. The algorithm relies on a proper quantification of distance between the estimated covariance operators of the populations, and subdivides data in two groups maximising the distance between their induc...

We explore the implications of imperfect information about firm-level fundamentals for the misallocation of factors of production across heterogeneous firms and the consequences for aggregate productivity and output. In our setup, firms learn from both private sources and stock market prices, the latter determined in a noisy rational expectations model of asset markets. We devise a novel calibr...

Genetic algorithms generally use a fixed problem representation that maps variables of the search space to variables of the problem, and operators of variation that are fixed over time. This limits their scalability on non-separable problems. To address this issue, methods have been proposed that coevolve explicitly represented modules. An open question is how modules in such coevolutionary set...

Ground state geometries have been computed using Density Functional Theory (DFT) at B3LYP/6-31G(d,p) level of theory. The excitation energies and spectroscopic parameters have been computed using Long range Corrected (LC) hybrid functional by Time Dependent Density Functional Theory (TDDFT) with LC-BLYP level of theory. The Polarizable Continuum Model (PC...

nutrigenomics applies genomic technologies to study how nutrients affect expression of genes. with the advent of the post genomic era and with the use of functional genomic tools, the new strategies for evaluating the effects of nutrition on production efficiency and nutrient utilization are becoming available. nutrigenomics plays an efficient role in various fields of animal health like nutrit...

‎This paper develops iterative method described by [V‎. ‎Daftardar-Gejji‎, ‎H‎. ‎Jafari‎, ‎An iterative method for solving nonlinear functional equations‎, ‎J‎. ‎Math‎. ‎Anal‎. ‎Appl‎. ‎316 (2006) 753-763] to solve Ito stochastic differential equations‎. ‎The convergence of the method for Ito stochastic differential equations is assessed‎. ‎To verify efficiency of method‎, ‎some examples are ex...

We propose an efficient mesh-less method for functional integral equations. Its convergence analysis has been provided. It is tested via a few numerical experiments which show the efficiency and applicability of the proposed method. Attractive numerical results have been obtained.