Yazar "Stepanova, Diana I." seçeneğine göre listele

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    Introduction of biofuels as a way of solving ecological problems
    (Econjournals, 2021) Burkhardt, Thomas; Stepanova, Diana I.; Ratkin, Leonid S.; Ismailov, Ismail; Lavrushin, Oleg Ivanovich; Sokolinskaya, Natalia Ewaldovna; Danish, Mir Sayed Shah; Senjyu, Tomonobu; Yüksel, Serhat; Dinçer, Hasan
    Since environmental issues have become a priority for everyone on the planet, and the fact that growing demand for fossil fuels will soon lead to a reduction in world reserves, except for climate change due to their use and greenhouse gas emissions. The aim of this work was to assess the potential for the introduction of biofuels and find the optimal conditions for the enzymatic hydrolysis of Japonica Rice husk. In addition, evaluate the positive and negative consequences because of the use and implementation of this technology. The methodology used variables: substrate FPU, pH, time, temperature and concentration surfactants using the screening construct obtained statistically, all variables are significant. Then an optimization plan was applied for the variables: pH, FPU and time, dropping those with a lower level of significance. Finally, the best conditions found in previous projects were (pH 5.0, 13 h, and 30 FPU/g of substrate); later, these conditions were applied in experiments to assess the effect of an increase in hydrolyzed cellulose. They use 6%; 8% and 10% of pulp is available with a recycling yield of 74%, 42% and 16%. The community has its own interests in the use of biofuels; therefore, this study provides an opportunity for biofuel producers to reduce environmental, economic, and social costs.
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    Non-classical approach to identifying groups of countries based on open innovation indicators
    (MDPI AG, 2021) Baboshkin, Pavel; Yegina, Natalya A.; Zemskova, E. S.; Stepanova, Diana I.; Yüksel, Serhat
    This article aims to highlight various methods and approaches to grouping countries, ac-cording to the behavior of their open innovation indicators. GDP, inflation and unemployment are the most important indicators of the economic and social policies of states, allowing them to be evaluated and models built. To find the relationships between open innovation indicators the paper uses marginal analysis and feature reduction, as well as machine learning methods (shift to the mean, agglomerative clustering and random forest methods). The results showed that, after isolat-ing all groups, the importance of the signs was established and the patterns of behavior of indicators for each group were compared and open innovation dynamics was analyzed. The conclusions showed that it is obvious that increasing the number of variables in the model and using more ex-tensive indicators can greatly increase the accuracy, in contrast to the generally accepted simple classifications. This approach makes it possible to more accurately find the connections between sectors of the economy or between state economies in general. An accompanying result of the study was the clarification of the equality of open innovation indicators for the analysis of their interrela-tionships between countries.