Leukocyte and platelet markers of blood in the dynamics of the hospital period in patients with acute myocardial infarction: the ability to predict the development of long-term adverse events

The aim – to create a new method of assessing the development of long-term complications in STEMI patients by studying blood cell composition and its adaptation to practical application in general clinical practice.Materials and methods. The study was involved 148 patients with acute myocardial infarction (AMI) who was admitted from January 2014 to June 2020 to the intensive care unit. Some patients were evaluated retrospectively and were in group 1 (n=92). Group 2 – 56 patients, who were studied prospectively. The groups of patients did not differ in clinical and anamnestic characteristics and treatment. The study provided an annual observation period. The endpoint in group 1 was: death, stroke, exacerbation of coronary heart disease – including the need for revascularization, the developement or decompensation for heart failure, which led to hospitalization (in addition, group 2 was analyzed for onset of cardiac death).Results and discussion. There complex indicators were built, based on the analysis of the clinical profile and dynamics of laboratory parameters in patients with the onset of the endpoint – a modified leukocyte index (mLI), which contains the values ​​of the number and percentage of granulocytes, lymphocytes and monocytes on days 1, 3 and 10 of STEMI and leukocyte-platelet index (mLPI), which additionally includes indicators of platelet inhomogeneity in size (PDWc and P-LCR). These indices with their limit values ​​(mLI > 140 units and mLPI > 242 units) were more informative in predicting distant cardiovascular events than other laboratory markers (including neutrophil-leukocyte ratio, NLR). In a prospective study branch (group 2), the mLI and mLPI indicators also turned out to be more informative than other markers (in particular, the NLR indicator) in determining the propensity to occur as a combined endpoint (area under the curve 0.71 for both; p>0.0001), so and death (areas under the curve 0.78 and 0.84, respectively; p>0.0001). Based on the data obtained, a computer algorithm has been created that simplifies the risk assessment in AMI patients using the developed indicators.Conclusions. Created leukocyte and leukocyte-platelet indices are highly informative in predicting the risk of complications in patients within a year after AMI.

Modeling wind drift and evaporation losses during sprinkler irrigation in arid areas (case of Touggourt - Algeria)

In recent years, agriculture development in South-eastern Algeria progressed rapidly which increased the demand for agricultural products. Given that this region is characterized by hard agro-climatic conditions, irrigation seems to be a necessary factor for ensuring optimal development and high agricultural production. Like many irrigation technics widely used, sprinkler irrigation performance was considerably affected by these conditions, mainly evaporation, which causes water losses. This study aims to propose an adequate mathematical model predicting wind drift and evaporation losses under different weather conditions resume by the complex indicator of climatic intensity (ɸ). Results showed that complex indicators of climatic intensity, were significant factors affecting the wind drift and evaporation losses, puissance relationship between wind drift and evaporation losses, and complex indicators of climatic intensity, obtained model are adopted can be useful tools in the determination of the overall losses in terms of environmental conditions (air temperature, relative humidity, and wind speed). Totally 25 measure samples were used for training the model, and 15 measure samples for testing and validation of the model. The developed model for the WDEL modeling shows high good performance with a coefficient of determination (R2) = 0.808, mean squared error (RMSE) = 3.39%, and Mean Absolute Error MAE = 8.41%.

Thermodynamics of the evolution of the biosphere

The thermodynamic foundations of the evolution of the biosphere are considered: the variability of natural systems with different dispersion of their components, the alternative ways of development of such systems, the alternative of intermediate stable states of ecosystems depending on fluctuations of external factors, primarily climate. The necessity of developing a system of mutually agreed complex indicators of this process is postulated. The necessity of including the water content of ecosystems in the number of parameters of nonequilibrium thermodynamics is justified. A new section of land hydrology is formulated -the study of thermodynamic aspects of the dynamics of natural waters.

A comparative analysis of methods for assessing the environmental security of territories

Annotation. The results of a study on the water quality, bottom sediments and coastal soil based on the level of anthropogenic pollution by heavy metal compounds and organic polutants are presented. The most commonly used integral and complex indicators used to assess the environmental safety of territories have been calculated. A comparative analysis, using the Shannon Biodiversity Index, highlighted the total pollution index (Zc) as the most informative, among those analysed, in terms of the impact of anthropogenic pollution on biota. The results established a methodology for assessing the environmental safety of territories that needs to be improved. By using the Maximum Permissible Exceedance (MPE) indicator, objective data will be available when determining the negative impact of pollution of natural environments on the state of ecosystems.

INFLUENCE OF TREATMENT WITH BIOLOGICALLY ACTIVE PREPARATIONS ON THE TECHNOLOGICAL INDICATORS OF THE QUALITY OF ROOT CROPS DURING THE STORAGE OF SUGAR BEET

Необходимость длительного хранения большого количества сахарной свеклы на сахарных предприятиях приводит к высоким потерям свекломассы и сахара, а также к снижению технологических качеств сырья. Для снижения потерь сырья при хранении широкое распространение получили химические способы защиты, для оценки эффективности которых не выработано единого комплексного критерия. С целью разработки такого критерия исследована эффективность влияния обработки биологически активными препаратами Гембар, Полидез Плюс и КСД-2 на сохранность сахарсодержащего сырья. Для исследований использовали корнеплоды сахарной свеклы, выращенной в Республике Беларусь, хорошего технологического качества, которые обрабатывали одним из препаратов – КСД-2 концентрацией 5%, Гембар и Полидез Плюс концентрацией 0,15% при расходе 2 дм3 рабочего раствора на 1 т свеклы – и закладывали на краткосрочное, среднесрочное или длительное хранение в производственном кагате. Исследования фитопатологических показателей обработанных препаратами образцов корнеплодов и контрольных – необработанных корнеплодов и расчет потери массы и сахарозы после различной продолжительности хранения проводили в течение двух производственных сезонов. Установлено, что обработка позволяет снизить содержание гнилой массы и массу ростков соответственно на 73–100% и 81% при обработке препаратом Гембар, на 40–42% и 54% при обработке Полидезом Плюс, на 87–100% и 90–92% при обработке КСД-2; уменьшить потери массы свеклы и среднесуточные потери сахарозы соответственно на 6–46% и 22,2–53,3% при обработке препаратом Гембар, на 6–77% и 5,6–29,4% при обработке Полидез Плюс, на 19–76% и 33,3–69,2% при обработке КСД-2 в зависимости от продолжительности хранения и производственного сезона. Также установлено, что в контрольном образце содержание сахарозы в зависимости от продолжительности хранения снижалось, % к массе свеклы, на 0,19 при краткосрочном хранении, на 0,48 при среднесрочном и на 0,83 при длительном хранении, но после обработки препаратом КСД-2 образцы корнеплодов потеряли соответственно 0,05; 0,19 и 0,47% сахарозы к массе свеклы, что в 3,8; 2,5 и 1,8 раза меньше по сравнению с контролем. На основе результатов исследований для оценки эффективности влияния применяемого препарата на снижение деградации сахарной свеклы при различной продолжительности хранения (сохранность технологических качеств) предложено использование двух комплексных показателей – индекса технологического качества сахарной свеклы и индекса сохранности сахарной свеклы. По разработанным формулам комплексных показателей рассчитаны индексы сохранности сахарной свеклы для исследованных вариантов хранения. The need for long-term storage of a large amount of sugar beet at sugar enterprises leads to high losses of beet pulp and sugar, as well as to a decrease in the technological qualities of raw materials. To reduce the loss of raw materials during storage, chemical methods of protection have become widespread, for evaluating the effectiveness of which no single complex criterion has been developed. In order to develop such a criterion, the effectiveness of the effect of treatment with biologically active preparations Gembar, Polydez Plus and KSD-2 on the safety of sugar-containing raw materials was studied. For the research, we used sugar beet roots grown in the Republic of Belarus, of good technological quality, which were treated with one of the preparations – KSD-2 with a concentration of 5%, Gembar and Polydez Plus with a concentration of 0,15% at a consumption of 2 dm3of the working solution per 1 ton of beet – and laid for short-term, medium-term or long-term storage in a production cahat. Studies of phytopathological parameters of samples of root crops treated with preparations and control samples of untreated root crops and calculation of weight loss and sucrose after different storage periods were carried out during two production seasons. It was found that the treatment allows to reduce the content of rotten mass and the mass of sprouts respectively by 73–100% and 81% when treated with Gembar, by 40–42% and 54% when treated with Polydez Plus, by 87–100% and 90–92% when treated with KSD-2; to reduce beet mass losses and average daily sucrose losses, respectively, by 6–46% and 22,2–53,3% when treated with Gembar, by 6–77% and 5,6–29,4% when treated with Polydez Plus, by 19–76% and 33,3–69,2% when processing KSD-2 depending on the duration of storage and the production season. It was also found that in the control sample, the sucrose content, depending on the duration of storage, decreased, % by weight of beet: by 0,19 for short-term storage, by 0,48 for medium-term, and by 0,83 for long-term storage, but after treatment with KSD-2 the root crop samples lost 0,05; 0,19 and 0,47% by weight of beet respectively, which is 3,8; 2,5 and 1,8 times less compared to the control. Based on the research results, the use of two complex indicators – the index of technological quality of sugar beet and the index of safety of sugar beet-is proposed to assess the effectiveness of the effect of the drug used on reducing the degradation of sugar beet with different storage periods (preservation of technological qualities). According to the developed formulas of complex indicators, the indices of the safety of sugar beet for the studied storage options are calculated.

Principles of Multitrading

Modern software and hardware tools provide unprecedented freedom for a variety of activities in the forex markets, from trading to analyzing the feasibility of models of nonlinear processes in self-organizing systems. To reduce risks and increase the efficiency of interaction with stock market instruments, it is proposed to provide variable adaptability of trading by combining trading strategies using several trading accounts of different brokers, multiple financial instruments, and Complex Indicators Tendencies of price changes. As a result of three years of experimental work, the basic principles of multitrading have been formulated and tested, and an information environment has been compiled, contributing to the development of an individualized trading system. The basic concept of organizing a multitrading information environment: the use of specialized hardware and software systems for strategic analysis and forecasting of price changes for an individual financial instrument, tactical selection of a promising financial instrument from the available set, and effective operating activities with orders of trading accounts. It can be expected that the evolution of the principles of multitrading will lead to the creation of analytical systems for predicting the kinetics of non-equilibrium changes in the characteristic parameters of self-organizing cooperative systems for wide application in biology, cybernetics, economics, and the social sphere.

Greenstick Well Engineering: Sustainability Index for Asset Value Chain Management

Environmental impacts due to exploration to the abandonment of oil and gas wells are a major focus when the wells are planned and drilled. However, there is no industry standard to quantify the impact due to complex indicators and associated variables. So, it is necessary to have an assessment framework and a methodology with the help of the digital transformation that provides an integrative index. This index allows a baseline to estimate the benchmarking for the well engineering not only during planning but also in real-time as the well is drilled and produced. This paper presents and validates a new model for the sustainability index for well design and engineering in the life cycle of the well. This proposed method avoids some of the vagueness of well’s sustainability and can be used and applied practically. It is based on various metrics and weightage assigned when a well is planned, designed, and engineered. Evaluating the index for well engineering is based on the following elements: environmental impact, well design and engineering, functionality and optimization impact, impact of well and maintenance costs, health and safety impact, societal impact. Each element contains sub-elements. This process involves individual indexing through backpropagation of neural networks combined with bat algorithm to obtain the final overall index.

Increasing the Cognitive Activity of Students in Teaching Mathematics

The article is devoted to the problem of increasing the cognitive activity of students in the current environment of preparing future specialists in accordance with the Federal State Educational Standard of the Secondary Education and the Federal State Educational Standard of Higher Education in teaching mathematical disciplines. The article shows that in the psychological-pedagogical literature cognitive activity is considered both as a personality trait and as a student's activity. The author's definitions of students' cognitive activity¿ and educational-cognitive activity of students¿ are formulated, their correlation is shown. The levels of formation of cognitive activity are highlighted: reproducing, interpreting, searching, and creative. A set of indicators of these levels has been formulated in accordance with the motivational, content-operational, value-volitional and evaluative components for didactic monitoring. The pedagogical conditions for the activation of students' cognitive activities in mathematical subjects have been established, which are the implementation of a differentiated approach and the application of pedagogical technologies, methods and techniques (the use of educational and technological maps, the technology of a portfolio of achievements, the propaedeutics of the professional competencies formation by means of mathematical problems, historical excursions, independent work of students), as well as didactic monitoring of cognitive activity. Experimental testing of pedagogical conditions has demonstrated a positive dynamics of changes in complex indicators of motivational, content-operational, value-volitional and evaluative components. The research results can be used in teaching mathematical subjects in higher educational establishments and specialized secondary-education institutions.students'

Approaches to the Analysis Performance Indicators Multiservice Telecommunication Networks Based on SDN Technology

The quality of functioning multiservice telecommunication networks based on the architectural concept Next Generation Network (NGN) and Future Networks (FN) using modern innovative technologies has been analyzed. Based on the study, a new approach to the construction model for assessing performance indicators multiservice telecommunication networks based on SDN (Software Defined Networking) technologies, taking into account the property self-similarity traffic is proposed. On the basis of the proposed approach, complex indicators MTS were investigated, taking into account the requirement QoS (Quality of Service) and QoE (Quality of Experience). The mathematical apparatus and the results of the study throughput software and hardware complexes, the probabilistic-time characteristics of the network and the management physical resources in the provision multimedia services are presented. Models have been investigated and analytical expressions have been obtained for the assessment complex indicators of the quality offunctioning MTS in the provision multimedia services with the necessary parameters. А numerical analysis is carried out and a graphical dependence of the maximum network throughput on the total number software and hardware systems for a given system load factor is built.

FEATURES OF BUILDING FOREIGN ECONOMIC ACTIVITY PREDICTIVE MODELS WITHIN THE INTERNATIONAL COOPERATION OF THE EAEU COUNTRIES

The article substantiates the need to adjust approaches to forecasting regional foreign trade indicators using big data analysis methods and machine learning methods. There are a large number of features of forecasting international trade, which are shown in this study. The purpose of the work is to study the features and develop a concept for constructing predictive models of indicators of foreign economic activity and ensuring an increase in the efficiency of managing the country's foreign economic activity. The article considers the need to use the economic complexity index, the product complexity index and the indicator of the identified comparative advantages as complex indicators describing endogenous and exogenous factors for building models. The proposed methodology makes it possible to increase the efficiency of managing international activities and ensure the sustainable economic development of the region.