Електронний архів публікацій ЧДБК

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A glimpse of the potential of task-based language teaching in fostering effective communication (on the example of the topic Mood Food)
(Київський національний лінгвістичний університет, 2023) Іванова, Ірина Вікторівна; Потапенко, Людмила Віталіївна; Палієнко, Альона Володимирівна
Загальновідомо, що сучасний світ дедалі більше глобалізується. Бажання студентів стати багатомовними є зрозумілим і виправданим. Без сумніву, ті, хто вільно володіє не лише рідною, а й іншими мовами, матимуть вищу конкурентоспроможність на ринку праці. Знання іноземної мови, особливо англійської, є нагальною потребою як для професійного, так і особистісного зростання. Це також вважають важливим складником майбутнього професійного іміджу. Усі ці передумови стали підставою для запровадження в Черкаському державному бізнес-коледжі елективного курсу “Communicative English”. Запропонований інструментарій може слугувати набором ресурсів учителя для сприяння ефективній комунікації за темою MOOD FOOD. Аналіз основних сучасних тенденцій у викладанні ESL доводить, що Task-Based Language Teaching (TBLT) продовжуватиме домінувати в процесі навчання іноземних мов. Матеріал розроблено відповідно до підходу TBLT, що сприяє залученню студентів до змістовного спілкування. TBLT поєднується з іншими освітніми підходами, такими як автентичність, гейміфікація навчання, культурна обізнаність, творчість, співпраця, навчання на основі запитів. Представлені завдання та види діяльності дають змогу вчителю створити навчальне середовище, а не просто класну кімнату, надихаючи учнів і досягаючи кращих результатів навчання.
AI та професії майбутнього: виклики, можливості, перспективи
(ЧДБК, 2026) Хотунов, Владислав Ігорович
Процеси, що розгортаються на світовому та вітчизняному ринках праці у 2023–2026 роках, свідчать про перехід від теоретичного очікування автоматизації до фази радикальної структурної перебудови економіки. Штучний інтелект (ШІ) перестав бути лише інструментом підвищення продуктивності й перетворився на системний чинник, що формує нову таксономію професій та етичні рамки управління. Для України, яка демонструє високу технологічну адаптивність навіть в умовах воєнного стану (концепція «Цифрового тигра»), інтеграція ШІ є критичною для подолання кадрового дефіциту та забезпечення обороноздатності.
An institutional approach to the analysis of kleptocratic economy in the context of Europeanization
(LLC Publishing House “Baltija Publishing”, 2019) Пустовійт, Роберт Фрідріхович; Pustoviit, Robert; Куклін, Олег Володимирович; Kuklin, Oleg; Криворучко, Михайло Юрійович; Kryvoruchko, Mykhailo
Relevance. Kleptocratic economy, as an institutional system, is oriented towards a key function that involves gaining wealth by the ruling elite through the introduction of non-market transaction costs for companies and households, which is based on administrative, bureaucratic, and political violence. For this purpose, the kleptocratic states create such systems of state institutional management that give the authorities the possibility of rent-oriented behaviour, which impedes the functioning of the real sector of the economy and encourages the shadow one. Under such circumstances, transaction costs are redirected to administrative intervention into the market mechanism, rather than aimed at increasing its efficiency; property rights are not clearly specified; the level of uncertainty about rules and norms of economic behaviour increases, and the motivational system of business activity is distorted. As a result, on the one hand, inefficient allocation of resources and slow economic growth (decline) are observed, and on the other hand, there is the redistribution of income in favour of the ruling elite and its excessive enrichment, that is detrimental to the welfare of the majority of the population. The aim of the article is to analyse the political-economic formation of a kleptocratic basis, which in the future transforms the state and its economy into kleptocratic formations; defining ways of counteraction and institutional capacity for transformations in the direction of Ukraine’s aspirations for European integration. Methodological basis.The methodological basis of the research is the work of domestic and foreign scientists in the field of institutionalism and kleptocratic economy. The models of the development of a kleptocratic state and the influence of kleptocratic factors on the socio-economic processes in the country have been studied with the application of the method of analysis, systematization, and generalization. Results. It is determined that in order to liquidate the grounds of kleptocratic economy, it is of primary necessity to eliminate institutional obstacles that interfere with the unification of the legal and shadow sectors of the economy and ensure their institutional formalization. This requires the introduction of effective ways of restraining the ruling elite in order to restrict corruption abuses of the government and its close reigning coalition with special privileges and bureaucracies and form an institutional structure, in which firms and households have clearly defined property rights and also have the possibility to protect contractual rights provided by formal institutes. Particular attention should be paid to the ways of civil society’s monitoring the state information policy and methods of adopting laws, which is, the institutional foundation that guarantees the openness of information as to the actions of government institutions. According to the results of the study, definite measures are proposed, the implementation of which will ensure the opportunities for Europeanization, particularly in Ukraine. The emphasis is placed on the fact that the important factors of counteracting the kleptocratic economy are the wage reform and the “transparent” selection of employees in the public administration sector on the basis of their professional qualities only.
Analysis of economic situation in Ukraine under martial law and the influence of factors on the financial activities of business entities
(Черкаський національний університет імені Богдана Хмельницького, 2022) Tkachenko, Аlla; Ткаченко, Алла Анатоліївна; Zdir, Viktor; Здір, Віктор Анатолійович; Brazilii, Natalia; Бразілій, Наталія Миколаївна
The study substantiates the reason for the destabilization of the regional development processes in Ukraine after the armed attack of the russian federation.The problems faced by Ukraine's economy during the invasion are identified. Losses and expenses incurred by business, financial and economic activities of economic entities during the studied period of the full-scale invasion of the russian federation are analyzed and illustrated. Ways to restore the activities of economic entities are suggested.
Application of Statistical Pattern Recognition in a Generating-Element Space for Human Activity Classification Using Smartphone Sensors
(Springer Nature B.V., 2026) Заболотній, Сергій Васильович; Zabolotnii, Serhii; Хотунов, Владислав Ігорович; Khotunov, Vladyslav; Чепинога, Анатолій Володимирович; Chepynoha, Anatolii; Klopotovskyi, Pavlo; Клопотовський, Павло Анатолійович
Human Activity Recognition (HAR) using smartphone sensors has become a key component in health monitoring, context-aware computing, and smart environments. Traditional machine learning approaches often assume a Gaussian distribution of sensor data, which may not hold true in real-world scenarios. This paper presents a novel application of the mathematical framework of decomposition in a space with a generating element to address problems in statistical pattern recognition. This approach, based on Kunchenko’s theory of stochastic polynomials, enables the effective processing of non-Gaussian data by constructing optimal polynomial features based on the minimization of the mean square error of the decomposition. We apply this method to the UCI HAR dataset, which contains accelerometer and gyroscope data from 30 individuals performing six daily activities. Our approach generates polynomial features of various orders that capture higher-order statistical dependencies in the sensor signals. Experimental results demonstrate that augmenting traditional time-domain and frequency-domain features with these polynomial features improves classification accuracy when using a SVM classifier. The method is particularly effective in distinguishing between static activities (such as sitting and standing), which are traditionally challenging to classify. The proposed approach offers a theoretically grounded feature engineering technique that enhances HAR performance while maintaining computational efficiency suitable for real-time applications.
Application of the matrix factor analysis method for determining parameters of the objective function for transport risk minimization
(Lublin University of Technology, 2021) Zabolotnii, Serhii; Заболотній, Сергій Васильович; Mogilei, Sergii; Могілей Сергій Олександрович
The paper regards a common transport problem with a non-classic optimization criterion to minimize transportation risks. It demonstratesthat the risk parameters of the function could be found through the factor analysis method. Besides, considering that the problem contains several pointsof sending and delivering loads, the method is dealt with as a matrix. The research also regards the algorithm of matrix factor analysis applicationfor determining parameters of the objective function for the problem to be solved. The survey results in a new method to construct the objective functionfor the optimization problem with probability parameters. It generally assists in suggesting a formal solution to such problems, foremost due to particular software.
Application of the Polynomial Maximization Method for Estimating Nonlinear Regression Parameters with Non-Gaussian Asymmetric Errors
(Springer Nature, 2024) Заболотній, Сергій Васильович; Zabolotnii, Serhii; Tkachenko, Oleksandr; Nowakowski, Waldemar; Warsza, Zygmunt Lech
In the article, an alternative approach to estimating parameters in nonlinear regression models under asymmetric error distributions is examined. A novel approach for adaptive estimation is proposed, which is based on the use of second-order polynomial functions. This enables a straightforward implementation to account for deviations from Gaussian idealization in the form of moments up to the fourth order. It is demonstrated that the overall problem can algorithmically be reduced to the numerical solution of a system of nonlinear stochastic equations. Analytical expressions are obtained, which facilitate the estimation of parameters and the analysis of their asymptotic variance. Statistical modeling using the Monte Carlo method was conducted, and the results indicate that the accuracy of PMM2 estimates is comparable to SLS estimates and significantly so exceeds the accuracy of OLS estimates.
Application of the Polynomial Maximization Method for Estimation Parameters in the Polynomial Regression with Non-Gaussian Advances in Intelligent Systems and Computing
(Springer Nature B.V., 2021) Zabolotnii, Serhii; Заболотній, Сергій Васильович; Tkachenko, Oleksandr; Ткаченко, Олександр Миколайович; Warsza, Zygmunt Lech
This paper considers the application of the polynomial maximization method to find estimates of the parameters of polynomial regression. It is shown that this method can be effective for the case when the distribution of the random component of the regression models differs significantly from the Gaussian distribution. This approach is adaptive and is based on the analysis of higher-order statistics of regression residuals. Analytical expressions that allow finding estimates and analyzing their uncertainty are obtained. Cases of asymmetry and symmetry of the distribution of regression errors are considered. It is shown that the variance of estimates of the polynomial maximization method can be significantly less than the variance of the estimates of the least squares method, which is a special case. The increase in accuracy depends on the values of the cumulant coefficients of higher orders of random errors of the regression model. The results of statistical modeling by the Monte Carlo method confirm the effectiveness of the proposed approach.
Application of the Polynomial Maximization Method for Estimation Parameters of Autoregressive Models with Asymmetric Innovations
(Springer Nature B.V., 2022) Zabolotnii, Serhii; Заболотній, Сергій Васильович; Tkachenko, Oleksandr; Warsza, Zygmunt Lech
This paper considers the application of the Polynomial Maximization Method to find estimates of the parameters of autoregressive model with non-Gaussian innovation. This approach is adaptive and is based on the analysis of higher-order statistics. Analytical expressions that allow finding estimates and analyzing their uncertainty are obtained. Case of asymmetry of the distribution of autoregressive innovations is considered. It is shown that the variance of estimates of the Polynomial Maximization Method can be significantly less than the variance of the estimates of the linear approach (based on Yule-Walker equation or Ordinary Least Squares). The increase in accuracy depends on the values of the cumulant coefficients of higher orders of innovation residuals. The results of statistical modeling by the Monte Carlo method confirm the effectiveness of the proposed approach.
Applying the Polynomial Maximization Method to Estimate ARIMA Models with Asymmetric Non-Gaussian Innovations
(https://arxiv.org/, 2025) Заболотній, Сергій Васильович; Zabolotnii, Serhii
Classical estimators for ARIMA parameters (MLE, CSS, OLS) assume Gaussian innovations, an assumption frequently violated in financial and economic data exhibiting asymmetric distributions with heavy tails. We develop and validate the second-order polynomial maximization method (PMM2) for estimating ARIMA models with non-Gaussian innovations. PMM2 is a semiparametric technique that exploits higher-order moments and cumulants without requiring full distributional specification. Monte Carlo experiments (128,000 simulations) across sample sizes and four innovation distributions demonstrate that PMM2 substantially outperforms classical methods for asymmetric innovations. For ARIMA(1,1,0) with , relative efficiency reaches 1.58--1.90 for Gamma, lognormal, and innovations (37--47\% variance reduction). Under Gaussian innovations PMM2 matches OLS efficiency, avoiding the precision loss typical of robust estimators. The method delivers major gains for moderate asymmetry () and , with computational costs comparable to MLE. PMM2 provides an effective alternative for time series with asymmetric innovations typical of financial markets, macroeconomic indicators, and industrial measurements. Future extensions include seasonal SARIMA models, GARCH integration, and automatic order selection.
Assessing Imbalance between Labor Quality and Needs of the Labor Market of Ukraine: Educational Challenges
(The European Center of Sustainable Development (ECSDEV), 2022) Novikova, Olga; Новікова, Ольга Федорівна; Azmuk, Nadiya; Азьмук, Надія Анатоліївна; Pankova, Oksana; Панькова, Оксана Володимирівна
The purpose of the study is to assess the imbalance between the quality of labor and the needs of the national labor market and harmonize the supply of the national education system to meet the demands of social production. The analysis of actual (statistical) data is carried out; the method of expert survey is used to identify imbalances between labor and education markets. The needs of the national labor market for experts with digital and creative skills are substantiated. The authors focused on the problem of imbalance in the market of educational services and demand for labor with appropriate skills in the labor market of Ukraine. According to the results of the analysis, it has been found that the domestic labor market is characterized, on the one hand, by excessive qualification of the labor force, which is manifested in the excess of the educational level of employees over the demand for such specialists. This is reflected in the lack of decent jobs in the national labor market. On the other hand, the national labor market is characterized by a shortage of employees with digital skills. Expert assessments of specialists in labor, education and digital economy have revealed a lack of focus of all education levels on the formation of digital and creative skills in the actual and potential labour force. Approaches to the study of imbalances in national labor markets and educational services have been further developed. The main trends in labor skills formation and demand for them among employers in the national labor market in the context of digitalization have been identified. Compared with previous studies, the research contains the results of an expert survey. The obtained results serve as a research basis for the development of strategic decisions in the field of markets balancing and education in the context of digitalization of the economy.
Benefits of Human-Centered Digitalization in the Context of Ukrainian Labor Market
(Publishing House "Baltija Publishing", 2024) Азьмук, Надія Анатоліївна
The paper investigates changes in the resilience of Ukraine‘s labor market. The expediency of using digital technologies as a factor in strengthening the resilience of the social and labor sphere is substantiated. Changing the paradigm of digitalization on the basis of Industry 5.0 towards humancentered digitization is emphasized. The advantages of using humancentered digitalization to strengthen the resilience of social and labor spheres in the period of post-war recovery of Ukraine‘s national economy are determined.
Black Friday аs а Tool for Sales Promotion
(Національний університет «Одеська політехніка», 2020) Іванова, Ірина Вікторівна; Іvanova, Iryna; Боровик, Тетяна Михайлівна; Borovyk, Tetiana; Руденко, Альона Юріївна; Rudenko, Alona; Залозна, Таміла Григорівна; Zalozna, Tamila
The article summarizes scientific views and defines the term of sales promotion. Features of promotion and sales promotion in B2C (Business-to-Consumer) markets are revealed. The use of digital marketing tools in the process of stimulating the sales of goods through digital channels, in particular through online stores, as well as the use of search engine optimization (SEO) and SMM-marketing is substantiated. Marketing communications and sales promotion elements used by retailers when preparing for seasonalsales are considered. The activity of consumers to retailers in the period of the preparation for grand sales, tools used by retail trade to influence the consumer and improve the activity of sales of goods is studied. The authors summarize and analyze statistic data of such online platforms as Black-friday.global, Picodi, Google Trends. The factors influencing the opportunities of online shopping and retail during Black Friday are explored and outlined. The peculiarities of trading platforms functioning, which provide online shopping space for various retail enterprises and offer marketing communications of retailers to increase the efficiency of product promotion on the Internet, are highlighted.
Breakout Learning as a Tool for Overcoming Language Barriers in the U.S.-Ukraine Business Communication & Culture Exchange Coil Project
(ЧДБК, 2026) Hanzhuga, Anna; Ганжуга, Анна
In today‘s globalized educational landscape, international collaborative online international learning (COIL) projects are becoming an effective tool for developing students‘ cross-cultural competencies. At the same time, one of the key challenges of such projects remains the language barrier, especially in asymmetric language teams, where English is the native language for some participants and a foreign language for others. As part of the U.S.-Ukraine Business Communication & Culture Exchange project, implemented in collaboration with Baylor University (Texas, USA), Ukrainian students faced this very challenge.
Building culturological background knowledge for developing business English communication skills
(Льотна академія Національного авіаційного університету, 2021) Іванова, Ірина Вікторівна; Ivanova, Iryna V.
The article deals with the issue of culturological background knowledge in the process of Business English teaching and learning. The author defines the essence and nature of culturological background knowledge differentiating it from the other similar terms used in recent publications. The study is aimed to substantiate the need for building culturological background knowledge in the process of Business English teaching and learning. Such qualitative methods of research as content analysis, observation and expert interviews have been applied to collect data for the study.
Cognitive and Procedural Aspects of Foreign Language Coursebook Modelling in Terms of Culturological Approach
(Приватна установа «Причорноморський науково-дослідний інститут економіки та інновацій», 2019) Іванова, Ірина Вікторівна; Ivanova, Iryna V.
The article deals with the problem of modelling the contents of the coursebook on the principles of culturological approach. In particular, the cognitive and procedural aspects of the contents of the professional foreign language coursebook have been highlighted. The textual and nontextual components of the coursebook contents have been analyzed. Possible ways of representation of cultural objects and phenomena in the coursebook contents have been offered. The necessity of covering all structural components of the contents of professional foreign language teaching and learning in higher educational institutions during the selection of coursebook materials has been grounded.
Coherence of accounting systems: transcendence of content and immunity of purpose
(Національна академія наук Республіки Казахстан, 2020) Kraievskyi, Volodymyr Mykolaiovych; Skoryk, Maryna Olehivna; Bohdan, Sviatoslav Volodymyrovych; Hmyria, Viktoriia; Гмиря, Вікторія Петрівна
The article deals with the essence of the transcendental approach to determining the content of accounting systems, which the authors propose for praxological use not by philosophical interpretation (unknowable) but by linguistic understanding (what goes beyond) and subjective active perception (something no one used). It is proved that the definitive formogenesis of national wealth allows to determine the factors of legitimization of its use as a system-forming basis of existential-humanistic foundations of awareness of social relations and their quantitative reflection in accounting systems. Methodological approaches to the formation of national wealth by its system-forming elements have been improved through a combination of general theoretical and specifically historical approaches to understanding both the very essence of wealth and the broader sources and economic mechanisms of its accumulation and social distribution. It is substantiated that the methodological foundations of accounting and informational display of national wealth are structured by organizational provisions of accounting policy, which is detailed as an inter-level accounting and synthetic service of accentuated objectification of a research object.
Communicative English. Part 1. Mood Food. Family. Збірник вправ і завдань
(ЧДБК, 2023) Потапенко, Людмила Віталіївна; Іванова, Ірина Вікторівна; Палієнко, Альона Володимирівна
Навчальний посібник Communicative English представляє першу частину серії збірників вправ і завдань, призначених для формування навичок усного і писемного іншомовного спілкування здобувачів фахової передвищої освіти. Навчально-методична розробка містить вступ, анотацію навчальної дисципліни, вправи і завдання до двох тем курсу, список рекомендованих джерел, список використаних джерел. Призначений для здобувачів фахової передвищої освіти, а також для тих, хто самостійно вивчає розмовну англійську мову.
Communicative English. Part 2. Spend or Save. Changing lives. Збірник вправ і завдань
(ЧДБК, 2024) Палієнко, Альона Володимирівна
Навчальний посібник Communicative English представляє другу частину серії збірників вправ і завдань, призначених для формування навичок усного і писемного англомовного спілкування відповідно до силабусу вибіркової дисципліни «Communicative English» за освітнім рівнем фаховий молодший бакалавр галузей знань 02 Культура і мистецтво, 05 Соціальні та поведінкові науки, 07 Управління та адміністрування, 12 Інформаційні технології спеціальностей 051 Економіка 076 Підприємництво, торгівля та біржова діяльність 075 Маркетинг 072 Фінанси, банківська справа та страхування 071 Облік і оподаткування. Друга частина посібника охоплює дві теми Spend or Save і Changing lives. Вправи і завдання розроблені на основі автентичного відео матеріалу з теми і мають уніфіковану структуру для формування як мовних лексичних, так і мовленнєвих навичок. Призначений для студентів закладів фахової передвищої освіти, а також всіх хто самостійно опановує англійську мову.
Communicative English. Part 3. Race across London. Stereotypes or are they. Збірник вправ і завдань.
(Черкаський державний фаховий бізнес-коледж, 2025) Палієнко, Альона Володимирівна; Дмитрюк, Світлана Валеріївна
Навчальний посібник Communicative English. Part 3. Race across London. Stereotypes or are they представляє третю частину серії збірників вправ і завдань, призначених для формування навичок усного і писемного іншомовного спілкування здобувачів фахової передвищої освіти. Він побудований відповідно до силабусу вибіркової дисципліни «Communicative English». Третя частина посібника охоплює дві теми Race across London і Stereotypes or are they. Вправи і завдання розроблені на основі автентичного відео матеріалу з теми і мають уніфіковану структуру для формування як мовних лексичних, так і мовленнєвих навичок. Призначений для студентів закладів фахової передвищої освіти, а також всіх, хто самостійно опановує англійську мову.

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