Statistical Analysis Method Research Articles

العلاقة بين نتيجة المتعلمين في مادة الصرف وقدرتهم في الإملاء في الصف الأول والثاني للمرحلة المتوسطة بمعهد دار الإخلاص منديلنج ناتل.

This research aims to know the picture of learners’ results in morphology and ability in dictation and the relationship between them among first-year students in the intermediate stage at Dar Al-Ikhlas Institute, Mandaling, Natl. The researcher used the quantitative method in the relational type with the statistical data analysis method using the relationship symbol (Product Moment). The result of the research indicates that the result of the learners in the morphology subject among the first-year students in the intermediate stage at the Dar Al-Ikhlas Institute, Mandaling Natal, is in the good category with a rate of 43, meaning 130 students, and their ability in dictation is in the good category, with a rate of 50%, meaning 15 students, and a relationship between the morphology result. The ability to boil dictation material has a correlation coefficient value of 797.0 at 69%, and the relationship is moderate with a positive direction.

Методика балістичного планування місій низькоорбітального сервісного обслугову-вання з малою постійною тягою рушійних систем

The current stage of space exploration is characterized by an increased interest in the development, deployment, and operation of low-orbit satellite constellations (LOSC) for Earth and near-Earth space remote sensing for military and civilian purposes and for global and regional satellite communications. Reusable space launch vehicles have significantly reduced the orbital injection cost. As a result, satellite operators are developing and deploying large-scale LOSCs of various orbital structures with a large number of spacecraft. According to current estimates, more than 70% of all the operating satellites operate in low-Earth orbits (LEOs) at altitudes between 160 km and 2,000 km. Since LEO satellites are generally much cheaper than satellites in geostationary orbits, the possibility of their on-orbit servicing (OOS) has not been the focus of research. However, the use of LEO OOS has prospects for growth. Techniques for ballistic planning of LEO OOS missions have been and are being developed. The disadvantages of approximate techniques include the use of simplified flight dynamics models. Most of the existing exact techniques are based on the use of full mathematical models of flight dynamics and the shooting method to solve the boundary value problem of an orbit transfer. Using the shooting method requires a sufficiently accurate initial guess, which is difficult to determine. To obtain a second approximation, use is mainly made of optimization methods, which do not always find a global minimum. In this regard, there is a need to develop new techniques that would be free from the above disadvantages. The goal of the article is to develop a ballistic planning technique for low-orbit servicing missions with low constant thrust propulsion systems. The technique includes the identification of LEO areas promising for OOS, a mathematical model of the dynamics of perturbed OOS orbit transfers in modified equinoctial orbital elements, and a solution algorithm for the boundary value problem of determining the control parameters of perturbed OOS low-orbit transfers. The problem is solved using methods of statistical analysis, flight dynamics, shooting, genetic optimization, and mathematical simulation. The novelty lies in the identification of LEO areas promising for OOS and the development of a mathematical model of orbit transfer dynamics in modified equinoctial orbital elements and a solution algorithm for determining the control parameters of perturbed OOS low-orbit transfers. The results of the work may be used in the justification and planning of LEO OOS missions and the formulation of requirements for LEO OSS mission propulsion systems.

Analysis of passenger transportation and the public transportation impact on the reduction in a smart city

The state of atmospheric pollution is determined by the growth of the population, the amount of transport and the generated volumes of emissions. The object is the process of analyzing passenger transportation in the city. The subject is passenger transport analysis methods. Purpose: analysis of passenger transportation and approaches to optimization of public transport based on the concept of a smart city. Tasks: analysis of passenger transportation, classification of existing conceptual approaches to optimization of public transport with low carbon emissions, systematization of existing methods, means and types of neural networks in smart cities, analysis of successful implementation projects. Methods of statistical analysis, linear and non-linear interpolation, logical generalization, comparison, grouping, analysis and synthesis. Results: the analysis of passenger transportation in the city revealed that statistical data sets indicate a decrease in the main indicators of passenger traffic and an increase in the volume of emissions of carbon-containing compounds. The classification of existing approaches to the optimization of public transport is carried out according to the priority of public transport, hybridization and electrification of vehicles and the implementation of IT monitoring. During the systematization of methods and means in smart cities, the following are highlighted: smart transport systems; electric vehicles; transport sharing networks; smart applications and information systems; innovative payment systems; unmanned vehicles; information boards and announcement systems; networks of bicycle paths and equipped sidewalks; environmental monitoring systems. Among neural networks, recurrent, convolutional, and deep neural networks have been proposed as those that contribute to route optimization and traffic prediction. Conclusions: the statistical analysis of passenger transportation established that reducing carbon dioxide emissions is an unresolved task for both public transport and the transportation system. It is proposed to include methods and means that optimize public transport, reducing the carbon footprint of the initiatives of implementing the concept of a smart city, which are successful all over the world. It is proposed to use recurrent, convolutional and deep neural networks to optimize passenger transportation in smart cities.

ФОРМУВАННЯ СИСТЕМИ ПОКАЗНИКІВ ОЦІНЮВАННЯ ЕФЕКТИВНОСТІ ДИФУЗІЇ ІННОВАЦІЙ СОЦІАЛЬНО-ЕКОНОМІЧНИХ СИСТЕМ

Modern world development trends, the speeds of changes in technologies, social and economic systems have actualized the issue of effective ways of introducing and spreading innovations. The formation of a mathematically based, complex system of indicators makes it possible to objectively measure the speed of innovation implementation, the level of involvement of interested parties and the general transformation of the target socio-economic landscape. The purpose of the article is the formation of a mathematically based system of indicators for evaluating the effectiveness of the diffusion of innovations in socio-economic systems. The object of the research is the process of evaluating the diffusion of innovations in socio-economic systems. Methods used in the study: methods of scientific analysis and synthesis, induction and logical-analytical techniques, as well as methods of correlation, statistical factor analysis and center of gravity. The main hypothesis of the study is the assumption that the assessment of the effectiveness of the spread of innovations in socio-economic systems depends on a set of factors, the analysis of which allows identifying problem areas and improving mechanisms for solving problems. Presenting main material. The Global Innovation Index (GII) indicator system was used as the base of the study of the efficiency of innovation diffusion of socio-economic systems, as the database covers 130 countries of the world and is the most objective source of high-quality statistical information on innovative activity at the macroeconomic level. In the study, the construction of a system of indicators for evaluating the effectiveness of the diffusion of innovations was carried out based on the calculation data of the Global Innovation Index for 35 European countries for 2013-2023. The first stage of the formation of the system of indicators was the creation of the initial system of indicators and conducting a correlation analysis to eliminate multicollinearity between partial indicators. Based on this analysis, certain indicators whose correlation coefficients were in the interval [0.9–1.0] were excluded. At the second stage, using the statistical factor analysis method and making calculations using the StatSoft Statistics software, the initial system of selected indicators was aggregated to eleven factors that sufficiently describe the effectiveness of the diffusion of innovations at the country level. The study of factor loadings of indicators made it possible to determine the composition of partial indicators for each factor, the significance of which exceeds 70%. Among them, using the center of gravity method, representatives were determined for each influencing factor. Using a well-founded system of indicators, it is advisable to build a profile of the country's innovative diffusion effectiveness. Existing distortions make it possible to identify problematic aspects and direct efforts to their solution. The study carried out an analysis of the dynamics of innovation diffusion effectiveness in the form of petal diagrams for four European countries and proposed recommendations for stimulating their innovative activity. Diagnostics showed uneven development of the countries according to the studied factors in 2022-2023. The originality and practical significance the research consists in the fact that a mathematically based system of indicators of the effectiveness of the diffusion of innovations of socio-economic systems can be used for a comprehensive assessment, identification of problematic aspects and an increase in the level of diffusion of innovations in countries. Conclusions and prospects for further research: the system of indicators for evaluating the effectiveness of the diffusion of innovations in socio-economic systems is substantiated, which makes it possible to supplement the theoretical and methodological foundations of the management of innovative development processes. The system of indicators formed by the authors, which are representatives of each factor, should be used for an integral assessment of the effectiveness of the diffusion of innovations at the macroeconomic level, as well as for determining the problematic directions of the diffusion of innovations in socio-economic systems in order to direct the state innovation policy to their improvement.

Smart PLS Methods in Station User Perception Survey (case study : Tanjung Karang Station)

Abstract Tanjung Karang Station is a spacious class A railway station situated in the urban center of Bandar Lampung. There are proposals to incorporate amenities at Tanjung Karang Station in order to necessitate reorganization endeavors to bolster the station’s continuity. In an effort to meet these needs, a perception survey of train users was conducted through several criteria and their influence on the existence of station facilities. The strategy in this study uses user perception related to how the image of a station. This was reviewed through a number of questionnaire questions divided into several groups. The target population in this study is the general public. The sampling method employed in this research utilizes the Probability Sampling technique via a Stratified Random Sampling approach with categorization based on age, gender, and occupation of the participants. The type of information employed is quantitative. Quantitative data of this study is information obtained firsthand from the participants presented in the form of a Likert scale. The method of data collection employed is through the use of questionnaires or surveys, either in person or online. The statistical analysis method utilized is Partial Least Square (PLS) using the SmartPLS program version 3.0. The findings of this research demonstrate a direct impact of user groups and user experience on the existence of transportation. This conclusion was obtained based on the findings of the model flowchart in the SmartPLS program which shows the validity number. This shows that the variable chosen as a reference for the questionnaire is a strong variable so that is can be used as an influental reference in determining station facilities that are useful in station management in the the future.

Correlation of MTHFR C677T Polymorphism with Male Infertility among Indian Population: Case-Control Study.

This case-control study investigated the correlation between male infertility in India and the methylenetetrahydrofolate reductase (MTHFR) C677T variant. Infertile males were utilized as the case group in the study, whereas fertile individuals served as the control group. The C677T polymorphism was genotyped using PCR-RFLP analysis (polymerase chain reaction-restriction fragment length polymorphism). The Chi-square test and odds ratio calculation were implemented in the statistical analysis method for assessing the correlation between the C677T mutation and infertility. The results of this study revealed that the case group (9.4%) had a substantially greater prevalence of the C677T variation than the control group (1.6%). The C677T variation is significantly associated with male infertility by the Chi-square test (P value: 0.006). According to these results, the MTHFR gene›s C677T variation may increase the incidence of male infertility in the Indian population. Additional evaluations were also conducted to investigate the association between the C677T variation and particular infertility indicators. The C677T variation has been demonstrated to have been significantly correlated with a low or missing sperm count (p 0.05). These findings highlight the potential function of the MTHFR gene in reproductive health and advance our understanding of the genetic underpinnings of male infertility. It is encouraged to investigate the underlying mechanisms and additional investigation of the underlying mechanisms and to support the creation of individualized approaches to diagnosing and managing male infertility.

Analysis of the Influence of Prior Experience & Product Knowledge on the Decision to Make Brand Switching Mediated by Satisfaction in Purchasing Adventure Motorcycles

This study aims to ascertain and evaluate the Prior Influence of Experience, Product Knowledge, and Satisfaction on Consumer Decisions Performing Brand Switching in Purchasing Motor Adventure Products. Technique Sampling is determined by purposive sampling, where there are criteria respondents, but it also uses the accidental method of determining the sample based on coincidence where anyone happens to meet the researcher which can be used as a sample by distributing questionnaires to members of the adventure motorcycle community The analytical technique applied is the descriptive analysis technique, Partial Last Square (PLS) statistical analysis method for looking for inner models, outer models, and hypotheses. The results of this study show acceptance of the entire hypothesis, namely the existence of a noteworthy and favorable influence on prior experience (X1), product knowledge (X2), and satisfaction factors (X3) on Consumer Decisions to Brand Switching in Purchasing Motorcycle Adventure Products.

Organoleptic properties of peranakan etawa goat’s milk ice cream mixed with purple sweet potato (Ipomoea batatas (L.) Lam) and its financial feasibility analysis

Abstract The strong goaty flavor of Peranakan Etawa (PE) goat’s milk causes problems when it is processed into various derivative products, including ice cream. The research objectives are to examine the effect of the purple sweet potato pasta addition on the organoleptic properties of ice cream made from PE goat’s milk and to analyze its financial feasibility. The ingredients used are PE goat’s milk, purple sweet potato, and other ice cream-forming aids. The treatment consisted of three concentration levels of purple sweet potato pasta, namely 20%, 25%, and 30%. Organoleptic test was carried out by 30 untrained panelists. Statistical analysis method of ANOVA was applied to compare the effect of each treatment to the quality parameter of obtained ice cream. Financial feasibility analysis of ice cream production on a production scale/year (4,800 packs of ice cream). The results showed that PE goat’s milk mixed with 30% purple sweet potato pasta produced better than the other treatments and significantly different organoleptic properties compared to other treatments (P<0.05). Production of PE goat’s milk ice cream mixed with purple sweet potato has a Break-Even Point (BEP) of Rp. 15,869,024 with a profit of Rp. 7,729,104 per year, Gross B/C ratio 1.62 and a payback period of 2 years and 6 months. Thus, mixing purple sweet potato as much as 30% in PE goat’s milk ice cream provides the best organoleptic properties and opportunities for household-scale businesses.

The Influence of Store Atmosphere and Taste on Consumer Repurchase Interest in Bofet Mas Nur Solo Lohong Pariaman City

This study aims to determine the effect of the store atmosphere and taste of consumer repurchase interest in bofet mas nur solo lohong pariaman city, so that this study can run the author distributed questionnaires to 60 consumers who bought and became customers at Mas Nur Solo Lohong. This study used 2 methods, namely descriptive analysis method and st atistic analysis method with the help of SPSS version 23. The descriptive analysis method in this study is a description of the data results that have been obtained by the author, while the statistical analysis method, which is used to conduct multiple linear analysis and test research hypotheses.The results of this study store atmosphere and taste on consumer repurchase interest have a significant effect. Store atmosphere has a regression coefficient value of 0.442 with a count t value of 3.480 > t table of 1.672 and a significant value of 0.0 01 smaller than the level of significant of 0.05, then taste has a regression coefficient value of 0.518 with a value of t count 3.348 > ttable 1.672 and a significant value of 0.0 01 smaller than the level of significant, and simultaneously a calculated F value = 32.255 with sig = 0.000 < 0.05.Store atmosphere and taste have a significant influence on consumer repurchase interest in bofet mas nur solo lohong pariaman city, the result of the coefficient of determination is known that the coefficient of determination is R = 0.729 with an R2 = 0.531, this means 53.1,% repurchase interest Consumers can be explained by variables of store atmosphere and taste while the remaining 46.9% is influenced by other variables that are not included in this study.

Анализ территориальной структуры хозяйства «Енисейская Сибирь»

The territorial structure of the economy is the basis on which the territorial organization of the economy is built, where the existing interrelations and interdependencies in a certain area are objectively reflected. Materials and methods. The methods of statistical analysis, as well as methods of data collection and processing were used in the work. The methodological basis for the study of territorial structure is the system approach. Results. The competitive advantages of the macro-region are its unique location on the territory of the country, while its weakness is the low level of development of transportation and communication links, which leads to an insufficient level of development of innovative developments. Discussion. Yenisei Siberia is an important part of the existing and projected transportation corridors linking Asia-Pacific countries with European countries. Conclusion. Thus, the territorial structure of the economy is a dynamically structured generalized system, for which it is necessary to search for adaptive approaches with spatial and temporal variability of interrelations optimizing the structural features of the economy depending on the inertia of the economy. Resume. The diversity of the complex of constituent parts of the territorial system, allows the system to be more stable and prone to socio-economic improvement. “Yenisei Siberia” consists of three subjects of the Federation, these are two national republics and one krai (krai – Krasnoyarsk and national republics – Tyva and Khakassia). Suggestions for practical applications and directions for future research. In connection with the turn to the East, the actualization of scientific research on the development of Yenisei Siberia may become a driver of interregional interactions, especially for regions with a low level of economic development. The results of the research may be useful in future development strategies and/or master plans of the territories of the Yenisei Siberia.

Study of the Social Responsibility of Ukrainian Employers for the Health of Employees on the Example of Enterprises of the Machine-Building Industry in the Kharkiv Region

The work aims to develop a methodical approach to assessing the employer’s level of social responsibility for employee health. Methods of statistical analysis, expert assessments, and content analysis were used. Developed a methodological approach to determining the level of social responsibility of the employer for maintaining the health of workers, which was tested in a sample of 18 enterprises of the machine-building industry of Kharkiv and Kharkiv region; it is determined by calculating an integrated indicator that combines quantitative and qualitative characteristics of the working environment in three planes (sections), which characterize the factors influencing human health: social conditions and lifestyle, the level of ecology of the working space, and the level of medical care at the enterprise. The results of the employer’s efforts to preserve the health of the employee are transformed into the health of the employee, which is analyzed through the indicator “Health Index”.

Assessment of milk production and processing in the southern regions of the Republic of Kazakhstan

Goal - indicators of production and processing of cow's milk in the region are presented using the construction of multiple regression model and recommendations for the development of dairy market in Kazakhstan are given. In the work methods of logic, statistical analysis, factorial, econometric modeling and systematization are used. Results - it is noted that dairy industry is an integral part of agro-industrial complex. Literary sources containing information on achievements in dairy industry of developed countries are analyzed; current state of the world economy and its importance for ensuring food security are shown: inflation, anti-Russian sanctions, decline in consumer incomes. The productivity of cows, reasons for the decline and increase in milk production, low share of dairy processing, and high depreciation of agricultural machinery are considered. The need to conduct research on the volume of dairy products production is substantiated using the example of Almaty as a large milk-processing regional center. It has been determined that the influx of investment has a significant impact on productivity of the city's dairy enterprises. An econometric assessment of the factors that have the greatest impact on the process of processing raw materials and obtaining finished products was carried out. Conclusions – scientific and practical results of generated regression model for assessing production processes and milk processing are presented. Socioeconomic criteria have been determined: the level of employee salaries, food inflation in dairy industry, increase in the number of dairy product complexes. Recommendations for modernization of dairies based on effective measures of state support, consolidation of small agricultural producers, and introduction of innovative technologies have been developed. Resource conservation is important - mandatory requirement for equipment, technologies, production activities, and economic mechanisms. Accounting of resources, their availability and consumption, careful attitude to the use of energy, water, heat are mandatory components of the rational use of potential.

Brain gain and country's resilience: A dependency analysis exemplified by OECD countries

Research background: In the light of growing demand for highly skilled workers, driven by rapid changes in the labour market and business environment, the ability to attract the talented determines not only business performance, but also macroeconomic development prospects. This stimulates national governments to create positive conditions for the development and use of the human capital of migrants. One of the most important factors of brain gain can be country stability as a sign of a comfortable environment for the realisation of intellectual potential. Purpose of the article: The study aims to investigate the links between the factors of country’s resilience and brain gain, including its partial indicators. Methods: For a comprehensive assessment, migration indicators were used by categories of talented migrants: highly educated workers, foreign entrepreneurs, university students and start-up founders that we integrated into an integral index of intellectual migration. The data was collected for OECD countries for 2023. The authors used the methods of statistical and correlation-regression analysis, economic-mathematical modelling in the GRETL software environment. Findings & value added: Research has shown that the components of country’s resilience (especially Economic resilience and Supply chain) have a positive effect on brain gain. Considering the partial indicators of brain gain, it is found that resilience in the country of destination has the greatest influence on the migration decisions of highly educated workers and foreign entrepreneurs, i.e. migrants with a positive experience of economic activity and entrepreneurial capital, which, in turn, strengthens the resilience and competitiveness of countries. Such conclusions are important for the improvement of brain gain management programs in terms of the development of the environment for the attraction and retention of talents.

INFORMATION AND ANALYTICAL SUPPORT AND TOOLS FOR ASSESSING EMPLOYEE LOYALTY IN ENTERPRISES

In the context of increasing competition and dynamic changes in the global economy, employee loyalty emerges as a key factor for the stability and success of enterprises. A high level of employee loyalty correlates with increased productivity, optimized costs for recruiting and adapting new employees, and the strengthening of the company’s positive image. Therefore, the development and implementation of effective methods for assessing loyalty is an urgent need for businesses. This study aims to systematize and analyze modern tools and methodologies for evaluating employee loyalty, identifying their effectiveness and features of application in various conditions and cultural contexts. The research is based on a survey of 525 employees of Ukrainian enterprises using Google Forms in two stages. Methods of questionnaires, interviews, statistical and content analysis were used. The research results confirmed the significance of integrating different assessment methods: from traditional surveys to modern analytical tools. It was shown that the automation of data collection and analysis significantly increases the accuracy of assessments and allows for the identification of deep patterns in employee behavior. The positive impact of corporate social responsibility on employee loyalty was also noted. For further development in this field, it is important to explore the impact of digitalization on loyalty assessment processes, particularly through the integration of artificial intelligence and machine learning. Additionally, it is necessary to study the intercultural aspects of assessment methods and adapt them to the needs of the globalized labor market. The importance of researching hybrid and remote work forms, as well as studying the social and psychological factors that influence employee loyalty, deserves special attention.

Penerapan Metode Bermain Peran Dalam Meningkatkan Ketrampilan Bahasa Inggris Pada Anak Usia Dini

The purpose of this study is to find out how the role play method can be applied to improve the English language skills of young children in Kindergarten Group B of Bakalani Village, Purwantoro District, Wonogiri Regency. This study was conducted in Purwantoro District Bakalan Village Kindergarten, the number of subjects was 19 children, 10 of which were 5-6 years old boys and 9 were girls. This research method uses classroom action research. This study was conducted in 3 cycles and each cycle was conducted in two meetings. The research data collection techniques are observation and speaking skills tests. Meanwhile, the data analysis technique used in this study is a descriptive statistical analysis method that uses percentages. Based on research findings and data analysis, the role-playing method can improve students' #039; English language skills. This can be seen in the survey on the classroom performance of the students in the first session and#039; The knowledge of the English language is only 16% or still classified as very poor. After that, continuing in cycle II, students and#039; English proficiency increased to 44 percent or was still classified as poor. Then in cycle III, the increase was 78% or classified as good.

The Influence of Religiosity on Academic Achievement with Resilience as An Intervening Variable

This study aims to examine (1) whether there is a direct influence of religiosity on resilience at MTsN 7 Nganjuk, (2) whether there is a direct influence of resilience on academic achievement at MTsN 7 Nganjuk, (3) whether there is a direct influence of religiosity on academic achievement at MTsN 7 Nganjuk. This research is a descriptive-correlational quantitative study. Data analysis was performed using the path analysis statistical method. The population of the study comprised seventh-grade students at MTsN 7 Nganjuk, with a sample size of 61 students. The results of the study indicate that (1) there is a direct influence of the religiosity variable on the resilience variable at MTsN 7 Nganjuk, (2) there is no direct influence of resilience on the academic achievement variable at MTsN 7 Nganjuk, and (3) there is a direct influence of the religiosity variable on the academic achievement variable at MTsN 7 Nganjuk. Resilience, as an essential asset for students in facing life, can be developed by enhancing their religiosity values. Therefore, the school can design programs or activities oriented towards increasing students' religiosity. This research can be further developed in subsequent studies by incorporating other variables such as learning motivation, learning interest, academic culture, family environment, and school environment, among others.

Influence of infrastructure institutions on the dynamics of agricultural production development in Kazakhstan

Object: to assess the impact of infrastructural institutions on the development of rural production, as well as to investigate the present results in agricultural production and its prospects. Methods: the system-functional approach was used as a general method, as well as general scientific methods: abstract-logical, dialectical; methods of statistical analysis. Results and conclusions. Findings: technology, infrastructure, and market strategies all play a role in fostering agricultural growth for the benefit of the broader population at all developmental phases. Insufficient infrastructure stands out as a significant barrier to the effective advancement of the agro-industrial sector. Investing public funds into infrastructure holds significance in establishing favorable conditions for financial markets to operate effectively in rural regions. Enhancing rural infrastructure also incentivizes commercial entities to extend favorable loan terms to farmers, as the associated risks diminish. Furthermore, a pivotal determinant of international competitiveness lies in the presence of sufficient and efficient national infrastructure. Conclusions: enhancing national infrastructure can bolster international competitiveness through several avenues, including boosting price competitiveness, enhancing non-price competitiveness, and attracting foreign direct investment (FDI).

Platform employment as the main trend in the development of the labor market in modern conditions in Kazakhstan

Object: Consider various definitions of platform employment, systematize theoretical approaches to analyzing new forms of employment organized with the use of digital technologies, assess the prevalence of platform employment in Kazakhstan, and systematize the positive and negative aspects of the development of platform employment in the country. Methods: In the study methods of statistical and econometric analysis, as well as comparison were used. Findings: Based on various definitions of platform employment, a theoretical approach to the analysis of new forms of employment organized using digital technologies was systematized and an assessment of the scale of platform employment was carried out. The assessment of the scale of platform employment in Kazakhstan revealed the strengths and weaknesses of platform employment in the country. Conclusions: Theoretical approaches to the analysis of new forms of employment organized using digital technologies were systematized. Based on the definitions, the scale of platform employment in Kazakhstan was assessed. This indicator tends to increase in the long term, but with slight fluctuations in numbers from year to year in the short term. Based on the systematization of definitions of platform employment and assessment of the scale of platform employment in Kazakhstan, the strengths and weaknesses of platform employment were identified.

Мікробіологічні предиктори комплексного лікування інфекції акушерської хірургічної рани в породілей

Aim - based on the study of microbiological factors of the wound process, determine the effectiveness of treatment of obstetric surgical wound infection in women in labor when using drugs with sorption-detoxification and immunomodulatory properties. Materials and methods. Іn the work, microbiological studies were used to control the course of the wound process in 115 parturients with purulent wounds of the anterior abdominal wall after caesarean section and perineum after episiotomy, perineotomy, which, depending on the treatment method, were divided into groups: the Group I - 42 parturients with purulent wounds, which treated with organosilicon sorbent gentaxan; the Group II - 45 women in labor with purulent wounds, who were treated with organosilicon sorbent Gentaxan and immunomodulator Laferon; the Group III - 28 women in labor with purulent wounds, who were treated with traditional methods. The obtained results were processed by methods of statistical analysis. Results. Based on the analysis of microbiological studies, it was determined that the causative agent of purulent wounds in obstetric practice is opportunistic flora, among which S. epidermis. In 28.7%, inflammatory processes in the tissues of postoperative wounds arise under the influence of the symbiotic relationship of aerobic and anaerobic microorganisms. Complex treatment with gentaxan and laferon had an advantage over monotherapy with gentaxan and traditional methods, due to a more pronounced suppression of the pathogenic microflora of the wound and an increase in the number of microbes in its tissues in a shorter period of time, which accelerates the elimination of swelling and inflammation in the wound, the manifestation of symptoms that indicate complete healing biological cleaning of the wound, which, in turn, prevents contamination by hospital infection of the wounds of women in labor and further spread of the inflammatory process. Conclusions. The factor of wound infection is opportunistically pathogenic flora, which in 64.0% is isolated in aerobic and aerobic-anaerobic associations. Complex therapy of purulent wounds with drugs with sorption-detoxification and immunomodulatory properties increases the effectiveness of the treatment, due to the suppression of the pathogenic microflora of the wound and the increase of the number of microbes in its tissues in a shorter period of time, which prevents contamination by hospital infection of the wounds of women in labor and the further spread of the inflammatory process. The research was carried out in accordance with the principles of the Declaration of Helsinki. Research protocol approved by the Local Ethics Committee of the institution mentioned in the work. For conducting research informed consent of the parents was obtained from the women in labor. The authors declare no conflict of interest.

Study of the factor influence on the uniformity of coffee grain grinding by methods of statistical analysis

In order to assess the impact of each of the factors that affect the quality and uniformity of grinding coffee beans and to compare the impact of these factors, it is worth establishing a quantitative indicator of this impact. To solve this problem, dispersion analysis was used as a method of organizing sample data according to possible sources of dispersion. The chosen method made it possible to decompose the total dispersion into components caused by the influence of factor levels. Grinding time, geometric dimensions of the grain, moisture content of the grain, speed of rotation of the motor shaft were selected as factors influencing the homogeneity of grinding. The justification and assessment of the reliability of statistical conclusions about the informational significance of indicators affecting the homogeneity of coffee grinding was carried out to ensure the highest possible probability of the obtained result.