Introduction: Bacteria have at least one sigma factor (σ-factor) that transcribes the genes required for cell viability. Usually, transcription of σ-factors occurs and changes in response to a variety of environmental stresses. Expression of σ-factors is one of the strategies which is used in response to different stress conditions. This study was aimed to evaluate the effects...

It is not clear whether between-country health inequity in Sub-Saharan Africa has been reduced over time due to economic development and increased foreign investments. We used the World Health Organization's data about 46 nations in Sub-Saharan Africa to test if under-5 mortality rate (U5MR) and life expectancy (LE) converged or diverged from 1990 to 2011. We explored whether the standard devia...

China's rapid and sustained economic growth offers an opportunity to ask whether the advantages of growth diffuse throughout an economy, or remain localized in areas where the growth has been the greatest. A critical policy area in China has been the health system, and health inequality has become an issue that has led the government to broaden national health insurance programs. This study inv...

This paper deals with the analysis of regional income disparities of the net disposable income of households (in Euro per inhabitant) across the regions of Central Europe (Austria, Czech Republic, Slovakia, Poland, Hungary and Germany) during the period 2000-2013. The analysis deals with the 82 NUTS 2 (Nomenclature of Territorial Units for Statistics) regions and is based on the concept of sigm...

A pi-sigma network is a class of feedforward neural networks with product units in the output layer. An online gradient algorithm is the simplest and most often used training method for feedforward neural networks. But there arises a problem when the online gradient algorithm is used for pi-sigma networks in that the update increment of the weights may become very small, especially early in tra...

let $mathcal{a}$ be a banach algebra and $mathcal{m}$ be a banach $mathcal{a}$-bimodule. we say that a linear mapping $delta:mathcal{a} rightarrow mathcal{m}$ is a generalized $sigma$-derivation whenever there exists a $sigma$-derivation $d:mathcal{a} rightarrow mathcal{m}$ such that $delta(ab) = delta(a)sigma(b) + sigma(a)d(b)$, for all $a,b in mathcal{a}$. giving some facts concerning general...

Genetic programming has been successfully ap plied to evolve computer programs for solving a variety of interesting problems In the previous work we introduced the breeder genetic programming BGP method that has Occam s razor in its tness measure to evolve minimal size multilayer perceptrons In this paper we apply the method to synthesis of sigma pi neural networks Unlike percep tron architectu...

We show how the linear “low-density theorem” of Drukarev and Levin can be extended to arbitrary positive integer power of the baryon density ρ. The nth coefficient in the McLaurin expansion of the fermion condensate’s ρ dependence is the connected n-nucleon sigma term matrix element. We calculate the O(ρ2) coefficient in lowest-order perturbative approximation to the linear sigma model and then...