Publications by authors named "V M Mironov"

Cancer, one of the world's deadliest diseases, is expected to claim an estimated 16 million lives by 2040. Three-dimensional (3D) models of cancer have become invaluable tools for the study of tumor biology and the development of new therapies. The tumor microenvironment (TME) is a determinant of tumor progression and has implications for clinical therapies.

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The biomass of native microorganisms in food waste (FW) suitable for accelerated composting is initially low and requires time for adaptation. Adding of efficient hydrolytic microorganisms should be able to enhance compost-specific microbial activity, adjust microbial community structure, and potentially hasten FW biodegradation. This study aimed to identify bacterial and fungal strains with growth characteristics suitable for accelerating FW composting.

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The balance between photosynthetic carbon accumulation and respiratory loss in plants varies depending on temperature. This leads to a situation where the increased need for carbon is not met when a certain temperature threshold is reached. Over the last two decades, temperature thresholds in carbon metabolism in autotrophic systems have been widely studied.

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Composting of the organic fraction of municipal solid waste (OFMSW) is accompanied by the emission of large volumes of harmful, hazardous and foul-smelling volatile organic compounds (VOCs). To improve the efficiency of terpenes removal, which constitute a significant part of VOCs, pure cultures of microorganisms dominating in its microbiota were isolated from the microbial community of the biofilter, which has been cleaning such emissions for a long time. Seven pure cultures were isolated and then tested for being able to grow on a mineral medium in the presence of terpene vapor as the only source of carbon and energy.

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Article Synopsis
  • The Open Quantum Platform is an open-source library designed to improve sustainability and interoperability in computational chemistry, featuring various quantum chemical theories for energy and gradient calculations.
  • It introduces innovative methods like mixed-reference spin-flip time-dependent density functional theory (MRSF-TDDFT) and custom functionals, enhancing the usability of traditional theories like DFT and TDDFT.
  • Optimized for high performance and parallel execution, the platform also includes a Python wrapper for tasks like geometry optimization and is poised for future upgrades, making it essential for advancing quantum chemical research.
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