The practical importance of formalizing the formation processes of development strategy of national financial sector (NSF) of Ukraine is proved. The existing methodological approaches to the NSF formation depending on the position regarding the participation of foreign capital in the financial sector, as well as on the existing and desired number of functioning financial institutions are revealed. The methodological approach to the forming the NSF development strategy on the basis of its structural parameterization is proposed. The proposed approach ensures the procedure optimality by checking the compliance developed by the input, output and internal parameters of its validity. The essence and features of each stage of the procedure, their sequence are characterized, as well as the reasonably selected parameters and the sequence of integrating the partial parameters into the integral ones with the further interpretation of the obtained values are explained. The proposed structural parameterization is practically suitable for application and provides control to the developers of the NSF development strategy over the logic and efficiency of its development.

The article reveals the essence of methodological and applied recommendations for the development of environmental management systems of industrial enterprises. As a result of the study, the structure of the environmental management system is clarified, alternative options for modeling the development of this system are considered, and the stages of formation of the environmental potential of the enterprise are highlighted.

The article studies theoretical aspects of the economic development of suburban territories. It is noted that, in spite of some positive move in the recent years, current conditions of economic development of suburban territories are characterized by a set of negative features, particularly, generally low level of economic development, which aggravates the problem of Ukraine’s integration to the European community; great disproportion in development of some territories; significant differences in the branch structure of the economic systems of different territories. Economic development is considered as a process of qualitative changes of the economic system in the future, conducted under the impact of a spectrum of economic, social, and ecological contradictories. It is marked that economic development is connected with a transformation of the market infrastructure, where a significant effect is made by the territory’s total social potential. It is stressed that human capital is an important factor of economic development, fueled by innovations and communication. Modern economy requires human capital of high quality, with a new economic way of thinking, new economic approaches to business management. It needs a perfect competition both at the domestic and foreign markets, as well as sustained application of innovations in business. Considering the fact that most settlements of a suburban territory are rectangular, the authors propose a formula for their measuring. The research suggests that suburban area should perform its specific functions, focused on local development, which are characterized by internal and external factors, as well as mechanisms of economic development. Under the reform of decentralization, a suburban territory should be concerned along with the territorial community, functioning on its territory, with consideration of its number, sex, age, level of education, location, personal resource potential.\nTo determine the principal criteria of impact on the economic development of suburban territories, it is necessary to solve a multicriterion problem. The performed calculations demonstrate that the year 2003 was the most favorable for implementation of social-economic reforms and thus, making of managerial decisions. The authors of the work estimate indicators of risks of the investment activity of business entities, and define the maximum values by two indicators, i.e. gross regional product per head of population and capital investments in the environmental protection, as well as the minimum values by the following three indicators, namely short-term bank credits, unemployment level, and factor of criminality per 100 thousand people of population. Those figures confirm that in 2017, there was an opportunity to make an optimal economic decision, grounded on the available estimated criteria. The authors of the research have composed a SWOT-matrix of the economic development of business on suburban territories with specification of strengths and weaknesses, opportunities and threats of business development on suburban territories.

This article studies the expansion of employment opportunities, the use of productive labor force,\nand the provision of decent wages, which are instrumental in determining long-term economic\ngrowth. A decent wage will increase labor income, the increase in income will increase the\npurchasing power of workers, and the increase in purchasing power will in turn increase\neffective demand. General issues that apply in relation to minimum wage increases are trends\nthat have a positive impact on income, prices and employment opportunities, and economic\ngrowth. The problems in this study were analyzed using Input-Output analysis with the Supply\nSide approach. Analysis results show that wage increases will positively impact employment\nopportunities. To achieve optimal allocation, the government should not issue unemployment\ncompensation or subsidies for recruitment costs. In addition, because companies and households\nexperience catastrophic consequences related to minimum wages, the government does not\nintervene in the labor market to influence wage levels and does not set minimum wages. What\nthe government can do is to make the right expenditure for the right success.

In recent days, Wireless sensor network (WSN) becomes familiar due to its applicability in\ndiverse areas of gathering and processing data from physical environment. At the same time,\nthe advanced applications and new multimedia sensors have raised the demand for a highly\nsufficient management of their quality of service (QoS). The constraints and demands for the\nQoS management entirely based on the application perspective. In this view, this paper\npresents a QoS aware cluster based routing (QoS-CR) technique for WSN. The proposed\nQoS-CR involves three main processes, namely clustering, routing and maintenance. At the\nearlier stage, fuzzy logic based clustering (FBC) technique gets executed to organize the\nnodes into clusters and selects cluster heads (CHs) effectively. Then, firefly with levy (FF-L)\nalgorithm is employed for identifying the optimal paths between two CHs or CHs to BS.\nFinally, maintenance process is invoked to evenly balance the load and energy consumption\nthroughout the network. A detailed simulation analysis takes place to ensure the performance\nof the QoS-CR model and the results are validated interms of several measures under distinct\nnumber of nodes and simulation rounds. The outcome of the extensive simulation clearly\nverified the superior characteristics of the proposed model over the compared methods.

This research is intended to analyze the relationship between education spending and economic growth. This is done whether the two affect each other or only one direction. To find out, the Granger causality test is used. Data analyzed are annual time series data from 2000-2018. After analyzing and processing the data, the results show that the two research variables have a causal relationship, meaning that both education expenditure and economic growth variables influence each other. Government expenditure in the field of education will affect economic growth. On the other hand, economic growth will also affect education spending. To get a better understanding of the relationship, it is analyzed how the mechanism of transmitting variables influences other variables. The analytical tool used is Vector Autoregressive (VAR). From the results of the VAR regression, the results show that economic growth variables affect education spending in lag 1, meaning that when economic growth rises, the government can increase its expenditure the following year. While new education spending will affect economic growth in the third lag, meaning new education spending will affect growth in the next 3 years.

Polycystic ovary syndrome (PCOS) is a disorder of chronic abnormal ovarian function and abnormally elevated androgen. Prevalence of PCOS varied from 2.2 % to 26 %, worldwide. The objective of this study is to expose the herbs or parts of herbs which showed potentiality on the therapeutic value for the condition of PCOS. Journal articles were selected from the databases PubMed and Google scholar. Following search terms were used to retrieve the publications: Names of medicinal plants AND polycystic ovary syndrome OR PCOS. The review was enhanced by the results obtained from human and animal studies. As outcome measures menstrual regulation, change hirsutism, total testosterone level with or without the evidence in improvement of ovarian changes in ultra sound scan in women or correct the changes of endometrial histomorphology in some animal studies were also considered. Many plants were showed its potentiality for PCOS outcome measures, but five of them were only selected, as because, they are consumed more as dietary purposes rather than medicinal value. However, these have showed high potential in ameliorating PCOS in different ways. I expect that the results will help to improve patient care, in amalgamate the treatment approaches with other therapeutic options.

The data of time series is symmetry common information in the economic and financial field. The time series method is affected by many different factors and important information, such as the relationship periodic reflecting fluctuations between the sequences or itself. In this paper, the time serial method of SARIMA model and X-12-ARIMA model both are symmetry to explode to predict the exchange-rate, and the large scalar data is supplied from June 1, 2016 to June 1, 2019. From the results, we found the X-12-ARIMA model had higher effective and more accurate than the SARIMA model.

Fractal geometry and nonlinear systems have shown to be useful to diagnose and predict the behavior of cardiac dynamics in adults with promising applications, but studies in neonates are lacking. The objective of this study is to apply a chaotic methodology to diagnose heart dynamics of neonates. 70 electrocardiographic records were taken from newborn patients, 10 normal and 60 pathological. Then, the minimum and maximum heart rates as well as the number of heartbeats/hour were taken for at least 21 hours; a sequence of heart rates was generated and, based on that sequence, chaotic attractors were constructed. Their fractal dimension was calculated as well as their occupation in the Box-Counting space and the mathematical diagnosis was determined based on the limits established in the induction. A blind study was developed for statistical validation against the Gold Standard diagnosis. It was found that the spatial occupation of neonatal cardiac chaotic attractors in the Box-Counting fractal space allowed the differentiation between normality and disease, reaching the highest values of sensitivity, specificity and diagnostic concordance against Gold Standard. Hence, it is concluded that fractal geometry allows to diagnose and differentiate normal from abnormal heart dynamics of neonates independent of the clinical scenarios, corroborating its utility at clinical level.

Silver nanoparticles (Ag NPs) are extensively used in many industries due to their antimicrobial properties. Their release into aquatic ecosystems has raised concerns about their toxic effects on aquatic organisms. The present study evaluated the toxic effects of Ag NPs on survival rate, bioaccumulation, oxidative stress biomarkers, DNA damage, and histopathology of, Procambarus clarkii. Crayfish was exposed to 0.0, 25, 125 and 250 ppm of Ag NPs for 28 days. Highest mortality (43.3%) was observed at 250 ppm exposure. The rate of bioaccumulation of Ag inside the different tissues increased with increased Ag NPs concentration and time of exposure. Ag NPs-exposed crayfish showed significant increase in the activities of lactate dehydrogenase, lipid peroxidase, catalase, glutathione peroxidase, glutathione-S-transferase, gamma-glutamyl transferase, glutathione, metallothioneins, and total lipid in hepatopancreas. Ag NPs also caused an increase in DNA strand breaks. Exposure of the crayfish to Ag NPs caused severe histopathological alterations in both hepatopancreas and gill epithelial cells. In the hepatopancreas, the most notable pathological features included severe tubular degeneration, nuclear pyknosis, and necrotic areas in the digestive tubules. In the gill, the histopathological alterations included swelling of gill lamellae, disorganization and degeneration of epithelial cells. Ultrastructural investigations of hepatopancreas and gills-treated with 250 ppm Ag NPs have been studied. In hepatopancreas, the apical surface of the absorptive cells becomes deformed, swelling mitochondria, and dispersion of Golgi complex, a necrotic nucleus, and ruptured RER. In gills, alterations included presence of degenerated cellular debris and dense granules, decrease in the number of plasma membrane infoldings, and cytoplasmic vacuolation. In conclusion, Ag NPs induced many physiological, histopathological, ultrastructural, and molecular alterations in P. clarkia. Thus, it may be used a bioindicator for Ag NPs toxicity in the aquatic environment. Ag NPs must also be used carefully and their discharge into the aquatic ecosystem should be controlled.

Depletion of petroleum-derived fuels for diesel engine and demands for reducing pollutions have been raised the attention of biodiesel as a renewable fuel so, economic selection of biodiesel feedstock is very important also, its higher viscosity causes working problems. In this respect, the effect of n-butanol fuel as an additive of WCO biodiesel-diesel fuel on simultaneously vibration, noise, performance and emissions of an unmodified diesel engine generator was determined. Biodiesel derived from Egyptian used cooking oil as a feedstock and commercial n-butanol was used. On a volume basis, two sets of blends were studied, the first is 5% biodiesel, 95% diesel, 10% with 90% and 20% with 80%. The second is 5%, 10% n-butanol at fixed B20. The tests carried out without any engine modifications. Using biodiesel-diesel blends instead of diesel showed that; six parameters of nine studied reduced (vibration, noise, BTE, HC, CO and EGT) while three increased (BSFC, CO2 and NOx). Using n-butanol instead of diesel with B20 showed that two parameters are depending on engine loads (i.e. vibration and noise), five are reduced (i.e. BTE, EGT, NOx, CO and CO2) and both HC and BSFC are increased