THE PURPOSE. Detection of the dependences between the toxicity index of the components of crystalline solar panels EVA and Tedlar® and the factors of sample preparation of water extracts used in biotesting on the chemotactic reaction of Paramecium caudatum test objects using Biotester-2M as an analyzer. These factors included: the temperature of the extract, the exposure time of the extract of the studied objects in distilled water, and the use of otherkind of extract.METHODS. In the course of the study, the biotesting method for the chemotactic reaction of Paramecium caudatum was used. In the experiments, an aqueous extract was prepared in accordance with PND F T 16.3.16-10. The resulting extracts were analyzed on a Biotester-2M device. For each experiment number, a study was carried out in three cuvettes, from each of which the device took 10 values. To assess the influence of extract temperature factors and exposure time, an experiment was carried out for temperatures of 4°C and 35°C, which allow taking into account the temperature at solid waste landfills at different times of the year. The extraction times were chosen to be 1, 7, 21, 28, 42 and 56 days. Data analysis was carried out using two-way replicated analysis of variance implemented using MatLab® tools. To assess the effect of the extraction medium, an experiment was carried out with the replacement of distilled water as an extract with mineral water of the Bonaqua brand and 1% acetone solution.RESULTS. The error probability of the hypothesis about the influence of temperature and exposure time factors of the extract on the toxicity index was calculated at given significance levels. A comparative analysis of the average toxicity indices for the studied extraction media with distilled water, which is used as an extraction medium in approved biotesting methods, was carried out.CONCLUSION. For complex organic compounds such as EVA and Tedlar® the toxicity indices will depend on a number of factors: the temperature of the extract, the residence time of the components in the extract, and the extraction medium.

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Modern system-on-chip designs contain multiple computational cores with several levels of caches, as well as a sophisticated memory subsystem. Functional verification of multi-core microprocessor models is known to be a big challenge. There are different approaches for memory subsystem and cache coherence controllers verification but an automated functional test generation strategy is the most commonly used in the industry. In this paper, the technique of automated multi-core test generation is proposed. It can be applied for cache coherence and memory subsystem check in a top-level multi-core RTLmodel simulation. Moreover, the presented test generator can be very effective in generating test scenarios for FPGAprototypes of SoC being designed. In this paper, we also give a detailed description of the random test generator itself and the capabilities of generated test cases. The proposed test generator got its name Ristretto due to the similarity of the word Ristretto with the abbreviation formed from the words "random instruction sequence" (RIS), and the word "threads" (and because ristretto is so concentrated and intense). Some self-checking validation approaches are suggested to obtain correct responses in FPGA-based verification (postsilicon validation). In the paper, we also discuss the bugmasking problem in post-silicon random instruction tests that arises due to limited observability.

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