The weak and strong convergence of a sequence generated by a Mann-type iteration are investigated in the frame of a real Hilbert space. Some applications to the projection method for the convex feasibility problem are given.

In this paper, we want to examine how unemployment impacts social life, and, by using datasets from six European countries, we analyze the effect of unemployment on two of the main aspects of social life: social exclusion and life satisfaction. First, we predict unemployment rates using the Auto Regressive Integrated Moving Average (ARIMA) model and the results are further used in a linear regression model alongside social exclusion and life satisfaction data, thus obtaining the hybrid model. With the help of the point prediction method, we use the hybrid model to predict new values for the two aspects of social life for the upcoming three years and we analyze the results obtained in order to better understand their interconnection. The results suggest that unemployment has particularly adverse effects on the subjective perception of life satisfaction, furthermore increasing the social exclusion percentage.

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In this paper, we present a statistical analysis of the main air pollutants and life expectancy in some countries from Eastern Europe: Bulgaria, Czech Republic, Hungary, Poland, Romania and Slovakia. We use statistical tools to describe and model air pollution data. The data involve a period of 18 years and include the annual average concentrations volatile organic compound, particulate matters, nitrogen oxides (NOX), sulphur oxides (SOX). The descriptive analysis of these variables is presented, before the model of the dependence between them, in order to discover the relationship between them. The correlation and regression analysis allow to find precisely formula of the connections that link life expectancy (LE) and the main air pollutants. The results obtained in this study reveals a new perspective of health and air quality and also, they present a new tool for all national and international agency for arguing that reducing the air pollution is closely related to a long-life expectancy.

The importance of 2D geometrical figures recognition in virtual reality and computational vision was a long motivation for researchers. In this paper the figures recognition using a mobile agents technologyis presented. The 2D figures are represented with a graphical user interface implemented in Java. The Mobile Agents are used to extract information about geometrical figures drawn in the graphical interface and using this information to clarify what they represent. The users can design the figure on the interface and the application, using mobile agents, return the name of the figure, if there are recognized. A lot of geometrical 2D figures are visualized and recognized using mobile agents application.