Open pit mining using explosives based on ammonium nitrate leads to wastewater pollution with nitrogen compounds. In case of insufficient wastewater treatment, pollutants enter surface-water bodies. Excessive concentration of nitrogen compounds in water leads to the development of the process of eutrophication, which adversely affects the vital activity of aquatic organisms and humans. At the moment, a common method of wastewater treatment from nitrogen compounds is a biological treatment method using devices such as aeration chambers, oxidation tanks and slim filters. An alternative option for biological treatment is the introduction of algae into wastewater. In the conditions of the Arctic, it is difficult to carry out biological treatment using algae due to low temperatures throughout the year. In this study, the feasibility of using the frost-resistant strain Chlorella kessleri VKPM A1-l1ARW for the effluents treatment from nitrogen compounds was tested. Model solutions with a known nitrates concentration were used. Experiments were carried out at two specified temperatures for comparison. The results showed that by the end of the 10-day experiment, the nitrates extraction efficiency at standard temperature (20 °C) was from 40.3% to 71.8%, at low temperature (3 °C) was from 30.4% to 73.6%.

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This work studies utilization of shared caches by applications running concurrently on different cores of multicore systems. Knowledge about program contention due to shared resources is important for various design problems concerning multicore architectures. It is needed for power estimation, scheduling of parallel applications and design of shared memories. Moreover, deep understanding of programs behavior is especially needed for the development of accurate models that are able to predict misses caused by shared resources in multicore systems.We present a methodology that is able to examine the interaction of applications in shared caches. Our experiments show a positive impact of data sharing by minimizing misses in shared L2 caches over a wide range of L2 cache sizes for applications from the Mediabench suite. Up to 25% lower misses in the last level cache can be observed for embedded applications, when data are allowed to be shared among programs running on different cores.

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