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Over the past two decades, the threat of environmental pollution elements has attracted attention as much as the air pollution. Concentrations of many trace elements in the environment have been significantly affected by man's activities. The present study was made to evaluate the potential effects of ambient air pollutants (SO 2 , NO 2 , CO and PM10) on Calotropis procera and soil in Helwan city. The study also aimed to evaluate the damaging effect of human activities on soil and some plants, where samples would have collected from industrials, traffic and domestic sources in Helwan city. Sampling and measurements were based on the environmental protection agency (EPA) and the American Standard test methods (ASTM). Evaluation of air pollutants (SO 2 , NO 2 , CO and PM10) was measured by Miran Gas Analyzer and Thermo Dust Meter. It was found that all metals were belonging to very high contamination category at all sites near the factories except iron. the internal parts of the leaf and shoot in the Calotropis procera are not affected by concentrations of air pollutants found in Helwan industrial area air or even high concentrations in soil

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High energy sub-nuclear interactions are a good tool to dive deeply in the core of the particles to recognize their structures and the forces governed. The current article focuses on using one of the evolutionary computation techniques, the so-called genetic programming (GP), to model the hadron nucleus (h-A) interactions through discovering functions. In this article, GP is used to simulate the rapidity distribution       N N Y 1 d d of total charged, positive and negative pions for p −-Ar and p −-Xe interactions at 200 GeV/c and charged particles for p-pb collision at 5.02 TeV. We have done so many runs to select the best runs of the GP program and finally obtained the rapidity distribution       N N Y 1 d d as a function of the lab momentum () Lab P , mass number (A) and the number of particles per unit solid angle (Y). In all cases studied, we compared our seven discovered functions produced by GP technique with the corresponding experimental data and the excellent matching was so clear.

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