Fuzzy-Logical model for analysis of sustainable development of fuel and energy complex enterprises

The purpose of this article is to build a mathematical model for analyzing the sustainability of the development of an enterprise in the fuel and energy complex, integrated into an information management system. It is noted that one of the strategic dominants in achieving the national goal of accelerating the technological development of any country is to ensure the effective functioning of enterprises in the fuel and energy complex. It is substantiated that these enterprises represent the basis of the material life of society, thus, ensuring their sustainable development is a significant factor for the formation of the structure of sectoral and inter-sectoral industrial complexes. In order to analyze the sustainable development of enterprises, an integral indicator is proposed, the components of which are the vectors of production, organizational, economic, environmental and social characteristics. Due to the weak structure of some characteristics, to solve the problem of their synthesis with quantitatively defined indicators, it is proposed to use the mathematical apparatus of fuzzy logic. Weakly structured indicators are formally described by linguistic variables. To establish the dependence of the integral indicator of sustainable development on production, organizational, economic, environmental and social indicators, a fuzzy-logical model has been built, which makes it possible to use the knowledge of experts by constructing rules of fuzzy inference. The fuzzy logic model is implemented using MATLAB tools. On the constructed model, experiments were carried out to assess the impact of each of the local indicators of sustainable development of an enterprise on the integral indicator. The advantage of the constructed model is its adaptability to changes in the operating conditions of enterprises

The Dynamics of Sensorimotor Cortical Oscillations during the Observation of Hand Movements: An EEG Study

Background The observation of action done by others determines a desynchronization of the rhythms recorded from cortical central regions. Here, we examined whether the observation of different types of hand movements (target directed, non-target directed, cyclic and non-cyclic) elicits different EEG cortical temporal patterns. Methodology Video-clips of four types of hand movements were shown to right-handed healthy participants. Two were target directed (grasping and pointing) motor acts; two were non-target directed (supinating and clenching) movements. Grasping and supinating were performed once, while pointing and clenching twice (cyclic movements). High-density EEG was recorded and analyzed by means of wavelet transform, subdividing the time course in time bins of 200 ms. The observation of all presented movements produced a desynchronization of alpha and beta rhythms in central and parietal regions. The rhythms desynchronized as soon as the hand movement started, the nadir being reached around 700 ms after movement onset. At the end of the movement, a large power rebound occurred for all bands. Target and non-target directed movements produced an alpha band desynchronization in the central electrodes at the same time, but with a stronger desynchronization and a prolonged rebound for target directed motor acts. Most interestingly, there was a clear correlation between the velocity profile of the observed movements and beta band modulation. Significance Our data show that the observation of motor acts determines a modulation of cortical rhythm analogous to that occurring during motor act execution. In particular, the cortical motor system closely follows the velocity of the observed movements. This finding provides strong evidence for the presence in humans of a mechanism (mirror mechanism) mapping action observation on action execution motor programs

Adaptive model of budget regulation based on probabilistic automaton

Problems of creation of mathematical model for decision making at management of budget regulation based on the theory of stochastic automaton functioning in random medium are analyzed

The hTERT and iCasp9 Transgenes Affect EOMES and T-BET Levels in NK Cells and the Introduction of Both Genes Improves NK Cell Proliferation in Response to IL2 and IL15 Stimulation

The NK cell exhaustion state evolving during extensive and prolonged cultivation is still one of the limitations of NK cell approaches. In this research, we transduced NK cells with the hTERT and iCasp9 genes. hTERT overexpression can prevent the functional exhaustion of NK cells during long-term cultivation, but, still, the therapeutic use of such cells is unsafe without irradiation. To overcome this obstacle, we additionally transduced NK cells with the iCasp9 transgene that enables the rapid elimination of modified cells. We compared the proliferative and functional activities of the hTERT- and/or iCasp9-modified NK cells, determined their exhaustion state and monitored the levels of EOMES and T-BET, the main NK cell transcription factors. The hTERT and iCasp9 genes were shown to affect the EOMES and T-BET levels differently in the NK cells. The EOMES+T-BET+ phenotype characterized the functionally active NK cells during two months of culture upon stimulation with IL2 and K562-mbIL21 feeder cells, which induced the greatest expansion rates of the NK cells, independently of the transgene type. On the other hand, under cytokine stimulation, the hTERT-iCasp9-NK cells displayed improved proliferation over NK cells modified with iCasp9 alone and showed an increased proliferation rate compared to the untransduced NK cells under stimulation with IL2 and IL15, which was accompanied by reduced immune checkpoint molecule expression. The individual changes in the EOMES and T-BET levels strictly corresponded to the NK cell functional activity, the surface levels of activating and inhibitory receptors along with the expansion rate and expression levels of pro-survival and pro-apoptotic genes

Multiple Actions of Telomerase Reverse Transcriptase in Cell Death Regulation

Telomerase reverse transcriptase (TERT), a core part of telomerase, has been known for a long time only for its telomere lengthening function by reverse transcription of RNA template. Currently, TERT is considered as an intriguing link between multiple signaling pathways. The diverse intracellular localization of TERT corresponds to a wide range of functional activities. In addition to the canonical function of protecting chromosome ends, TERT by itself or as a part of the telomerase complex participates in cell stress responses, gene regulation and mitochondria functioning. Upregulation of TERT expression and increased telomerase activity in cancer and somatic cells relate to improved survival and persistence of such cells. In this review, we summarize the data for a comprehensive understanding of the role of TERT in cell death regulation, with a focus on the interaction of TERT with signaling pathways involved in cell survival and stress response

Model of Stochastic Automation Asymptotically Optimal Behavior for Inter-budget Regulation

This paper is focused on the topical issue of inter-budget control in the structure ↔ by applying econometric models. To create the decision-making model, mathematical tool of the theory of stochastic automation, operating in random environments was used. On the basis of the application of this mathematical tool, the adaptive training economic and mathematical model, able to adapt to the environment, maintained by the income from the payment of federal and regional taxes and fees, payable to the budget of the constituent entity of the RF and paid to the budget of a lower level in the form of budget regulation was developed. The authors have developed the structure of the machine, described its behavior in a random environment and introduced the expression for the final probabilities of machine in each of its states. The behavioral aspect of the machine by means of a mathematically rigorous proof of the theorem on the feasibility of behavior and the asymptotic optimality of the proposed design of the machine were presented

Podejście rozmyte w modelowaniu zarządzania rozwojem zrównoważonej turystyki

The paper proposes an economic and mathematics models of sustainable tourism development strategic management based on application of fuzzy algebra mathematical apparatus. The conducted research is built, starting from the formulation of strategic management of sustainable tourism development concept and ending with the creation of economic and mathematics models of decision support. A mathematical model that supports decision making in the evaluation of sustainable development of tourist and recreational areas was developed based on the use of mathematical apparatus of fuzzy inference. The model is built in Fuzzy Logic Toolbox environment of MATLAB and allows selecting strategic reference points for sustainable tourism development with the combination of the results of economic benefits with environmental and social indicators.W artykule zaproponowano ekonomiczne i matematyczne modele strategicznego zarządzania rozwojem zrównoważonej turystyki oparte na zastosowaniu aparatu matematycznego algebry rozmytej. Przeprowadzone badania zbudowane zostały począwszy od sformułowania strategicznego zarządzania koncepcją zrównoważonego rozwoju turystyki, a skończywszy na tworzeniu ekonomicznych i matematycznych modeli wspomagania decyzji. Opracowano model matematyczny wspierający podejmowanie decyzji w zakresie oceny zrównoważonego rozwoju terenów turystycznych i rekreacyjnych w oparciu o zastosowanie aparatu matematycznego wnioskowania rozmytego. Model został zbudowany w środowisku Fuzzy Logic Toolbox w MATLAB i pozwala na wybór strategicznych punktów odniesienia dla zrównoważonego rozwoju turystyki dzięki połączeniu wyników korzyści ekonomicznych ze wskaźnikami środowiskowymi i społecznymi