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This article aims to present a web-based interactive visualization and analytical platform for weather data in Armenia by integrating the three existing infrastructures for observational data, numerical weather prediction, and satellite image processing. The weather data used in the platform consists of near-surface atmospheric elements including air temperature, pressure, relative humidity, wind and precipitation. The visualization and analytical platform has been implemented for 2-m surface temperature. The platform gives Armenian State Hydrometeorological and Monitoring Service analytical capabilities to analyze the in-situ observations, model and satellite image data per station and region for a given period.

This paper presents algorithms for solving several matching problems on Mazurkiewicz traces. The creation of the algorithms is reduced to the construction of automata that recognize corresponding rational trace languages. Such languages and their properties were studied by many authors. This paper considers trace languages used in solving concrete problems that have analogs in stringology.

In this paper, a software package for cellular automata simulation, 2D/3D visualization with a shared work support system was introduced, that was designed considering the needs of researchers in both local and virtual laboratories. As an example of cellular automata, abelian sandpile model has been chosen. An appropriate software package has been developed using Microsoft .Net and C# enabling users to work at the same time on the same models independent of the geographical location of users within the public network.