The database of small celestial bodies NASA is provided by the Jet Propulsion Laboratory and represents the collected information about asteroids and comets, describing their parameters available for observation and determination, including physical ones, as well as their classification and data on the number and duration of observation. Many of these celestial techs have an incomplete description of their properties, which makes it difficult to predict their behavior and potential interaction with other objects in space, including man-made ones. This study proposes a solution to a certain part of the problems of asteroid exploration by finding a prediction of the diameter of asteroids based on information from the NASA database and the results of machine learning methods on processed data from the source. For this research, some of the most commonly used algorithms for implementing such prediction models have been selected, such as KNN, linear regression, random forest, decision trees, and gradient boosting. Applied machine learning algorithms were evaluated based on the results of diameter prediction accuracy, speed of training and prediction process, and square mean error rates. The study will help to choose the most optimal approach for predicting this feature of asteroids, describe the process of data pre-processing, while achieving the best performance of the model, and analyze the correlations between the properties of these celestial bodies.

This study explores the intricate relationship between Generative Artificial Intelligence and Academic Quality, two domains that have robust technical and historical underpinnings. Originating from divergent research fields, an understanding of the impact of one on the other necessitates a foundational familiarity with both. We offer a comprehensive review that serves as a bedrock for future scholarly dialogue. We articulate key insights into how emerging generative technologies are anticipated to influence academic quality. Concurrently, we note that these technological advancements are emerging at a time of significant transformation and diversification within higher education. While it is premature to proffer definitive predictions, we argue that the impact of these technologies will be institution-specific, contingent upon the unique mission and vision of each educational entity. Our analysis and reflection suggests that institutions emphasizing critical thinking and innovation stand to gain more from the integration of Generative Artificial Intelligence technologies than those primarily focused on career preparation for students.

The impact of enclosure aspect ratio and different thermophysical properties of fluids on heat transfer were investigated in rectangular enclosure with 3x3 array of flush-mounted chips placed on the front vertical wall with constant temperature and cooled by the opposite wall. To study heat transfer inside the enclosure simulations were done for four enclosure aspect ratios(A=1.0, 5.0, 7.5, 20.0) and five fluids(air, water, FC-40, FC-72, FC-88). Numerical results show that the highest velocities are in the air while low velocities have been noticed in the water, FC-40, FC-72, FC-88. The maximum air velocities for the W component are obtained precisely at a height of Z= 5.5. It is observed that when enclosure aspect ratio decreases, the fluid velocity increases. Maximum Nu number was when enclosure was filled with dielectric fluids FC-72 and FC-88, and minimal was found in the air. To ensure that chosen numerical methods, computer program was implemented correctly test task were completed. Good agreement is found between the results.

Thе аrtіclе dеаls wіth аnаlоguеs оf thе vаn dеr Cоrрut lеmmаs іnvоlvіng Mіttаg-Lеfflеr functіоns. Іn fаct, thе clаssіcаl еstіmаtеs fоr thе оscіllаtоrу іntеgrаls wаs оbtаіnеd bу thе Dutch mаthеmаtіcіаn Jоhаnnеs Gаulthеrus vаn dеr Cоrрut аnd nаmеd іn hіs hоnоur. Vаrіоus gеnеrаlіsаtіоns оf thе vаn dеr Cоrрut lеmmаs hаvе bееn іnvеstіgаtеd оvеr thе уеаrs. Thе gеnеrаl stаtеmеnt іs thаt wе rерlаcе thе еxроnеntіаl functіоn wіth thе Mіttаg-Lеfflеr-tуре functіоn, tо studу оscіllаtоrу іntеgrаls арреаrіng іn thе аnаlуsіs оf tіmе-frаctіоnаl раrtіаl dіffеrеntіаl еquаtіоns. Fоr а раrtіculаr рurроsе, thе рrеsеnt рареr fоcusеs оn thе іntеgrаl оf thе fоrm 𝐼𝐼𝐼𝐼𝛼𝛼𝛼𝛼,𝛽𝛽𝛽𝛽(𝜆𝜆𝜆𝜆) = 􀶱 𝐸𝐸𝐸𝐸𝛼𝛼𝛼𝛼,𝛽𝛽𝛽𝛽􀵫𝜁𝜁𝜁𝜁𝜆𝜆𝜆𝜆𝜁𝜁𝜁𝜁(𝑥𝑥𝑥𝑥)􀵯𝜓𝜓𝜓𝜓(𝑥𝑥𝑥𝑥)𝑑𝑑𝑑𝑑𝑥𝑥𝑥𝑥 іn thе cаsе β = α, fоr thе rаngе 0 < α < 2. Thіs mаkе wіdеr thе vаrіеtу оf еstіmаtеs оbtаіnеd іn thе wоrk [1], whеrе іntеgrаls wіth functіоns 𝐸𝐸𝐸𝐸𝛼𝛼𝛼𝛼,𝛽𝛽𝛽𝛽�𝑖𝑖𝑖𝑖𝛼𝛼𝛼𝛼𝜆𝜆𝜆𝜆𝜁𝜁𝜁𝜁(𝑥𝑥𝑥𝑥)� hаvе bееn studіеd. Іn thіs рареr wе іntеrеstеd іn thе bеhаvіоr оf thе іntеgrаl 𝐼𝐼𝐼𝐼𝛼𝛼𝛼𝛼,𝛽𝛽𝛽𝛽(𝜆𝜆𝜆𝜆) whеn 𝜆𝜆𝜆𝜆 іs lаrgе. Wе rеаlіzе thаt thе dеcау rаtеs оf thе іntеgrаl whіch, wе hаvе bееn cоnsіdеrеd, dереnd оn thе rаngеs оf раrаmеtеrs α аnd β. Furthеr studуіng Vаn dеr Cоrрut lеmmаs wіll rеvеаl nеw іnsіghts аnd аррlіcаtіоns іn mаthеmаtіcs аnd bеуоnd.

After the appearance of the concept of o-minimality, which was introduced by L. van den Dries for expansions of the ordered field of real numbers and generalized to arbitrary linear orders by A. Pillay and C. Steinhorn, linearly ordered structures became firmly established in the circle of interests of specialists in model theory. Numerous generalizations of the concept of o-minimality have appeared in the works of various authors, such as weak o-minimality, quasi-o- minimality, weak quasi-o-minimality, dp-minimality, and o-stability. B. S. Baizhanov and V. V. Verbovskiy proved that o-stability generalizes all the above concepts for linearly ordered structures and that o-stability entails the absence of the independence property. They also proved that any linear order has an o-superstable theory. V. V. Verbovskiy studied o-stable ordered groups, in particular, he proved that they are commutative. In this paper, we begin the study of the question of how complex the theory of a linear order with one unary function can be. We construct an example of an expansion of a linearly ordered structure with one unary function, which has the independence property.

Registration of acoustic properties and auralization of enclosed spaces is becoming increasingly important. In today's world, when designing or renovating historic buildings such as opera houses, churches and concert halls, it is important to simulate sound propagation in order to preserve the original acoustic properties. In our article, we consider the process of propagation of a sound wave in an internal three-dimensional non-stationary area, namely, the modeling of acoustics in a concert hall. To do this, according to the given input parameters, initial and boundary conditions, the distribution function of sound pressure in a given area over a period of time was determined. In the course of calculations, we use a computing platform to implement the finite element method, as well as the finite difference method using an explicit scheme as an example. On the basis of numerical results, we draw conclusions about the effectiveness of closed space auralization methods, and also describe aspects of optimization and use of methods.

The use of hybrid renewable energy systems combining various types of renewable energy technologies, such as a parabolocylindrical solar concentrator and a horizontal wind generator, can provide many advantages in terms of increasing power, increasing the stability of the system and increasing reliability. By leveraging the complementary nature of solar and wind resources, we discover that we can provide a stable and reliable source of energy with such combined systems, which means that we are contributing to a sustainable energy future.

As the world has moved towards a more sustainable and environmentally friendly approach to energy production, combined solar and wind installations have become an innovative solution to meet the energy needs of autonomous consumers. Combined solar wind turbines are ideal for autonomous or remote areas where access to traditional energy sources may be limited or unreliable. Having studied their unique features, advantages and potential applications for providing electricity to autonomous energy systems, the concept of combined solar and wind installations developed specifically for individual consumers was considered.

Gas sensors are important devices in various industrial and environmental monitoring applications. Toluene and chloroform are harmful non-polar gases that are produced in various combustion processes and are associated with air pollution and respiratory diseases. Porous silicon (PS) has shown promising results as a material for ammonia and ethanol gas sensing applications. However, there is potential for further improvement by optimizing their surface properties for non-polar gas sensing applications. Chemical treatment has been widely utilized to modify the surface characteristics of materials, including semiconductors, for various applications. We have deposited nickel (Ni) layer on PS surface using chemical treatment. In comparison to the PS sample, it was discovered that the Ni-deposited PS sample was more sensitive to 0.1 ppm concentrations of non-polar toluene and chloroform vapours, increasing from 1% to 39% and 32.6%, respectively. This study provides valuable insights into the surface modification techniques for enhancing the performance of gas sensors, which can have a significant impact on the development of advanced sensing technologies for environmental and industrial applications.

The scientific article deals with the issues of uniform movement of the riverbed and the determination of the roughness coefficient of the riverbed (roughness coefficient). The analysis of existing methods for calculating the difference in the roughness coefficients of channels along the perimeter, methods for determining the roughness coefficient of the slopes of channels consisting of two or three parts along the perimeter, well–known scientists - P.N.Belokon, G.K.Lotter, N.N.Pavlovsky are given.There are a some varieties of calculation methods assigned for hydraulic calculations of water flow along the perimeter of a soil channel in the field of hydraulic engineering. A number of researchers states that the roughness of the channel bed imitates the motion of the flow in diverse channels with the movement of the flow under the ice layer. Nevertheless, it should be taken into account that the roughness of the channel bed has its own characteristic (specific) features of the movement of water in different open channels and below the ice cover. The common formulas proposed by number of authors for channels with different roughness along the perimeter cannot be used directly in hydraulic calculations of the flow under the ice cover, and vice versa, the equations of motion of water flow beneath the ice cover are not applied even for channels with various roughness along the perimeter. Therefore, the corresponding choice of methods for determining the roughness coefficients of the canal flow along the perimeter will be the key point to its long-term functioning.

Often, production geophysics is the main and widespread method in the oil and gas industry. Well logging curves have the most complete characteristics when they are based on the study of direct material, which is the core. This scientific project is mainly aimed at studying the relationship of reservoirs of different generations and their facies belonging, which contribute to a more correct understanding of the structure of exploitation objects, taking into account lithological heterogeneity and dissection of productive horizons. Application of the practical value of knowledge of the features and patterns of formation of sand bodies in the further development of the field, in order to increase oil recovery factors. In this article, we compare reservoir intervals composed of both medium and coarse-grained sandstones with well logging data, and consider their spatial distribution according to seismic-attribute analysis based on 3D seismic data. Further, based on the results of the spectrometric gamma logging on the core, the core and well logging were linked in order to more accurately determine the petrophysical properties of lithofacies. In conclusion, brief conclusions of practical and laboratory work are summarized and final conclusions are drawn.

CO2 flooding is currently a popular method employed for enhanced oil recovery (EOR). The initial mention of utilizing CO2 as an injection gas to enhance oil production dates back to 1916, although its economic feasibility was not established until the 1950s. Initially, alternative gases such as propane, liquefied petroleum gas, and natural gas were utilized, but CO₂ emerged as a more cost-effective and efficient option. The first CO₂ flooding project commenced in 1964, followed by a larger-scale project in 1972. Subsequently, successful CO₂ flood implementations have been witnessed in diverse regions including the United States, Canada, Hungary, Turkey, Trinidad, and Brazil. Among these, the United States stands out with 67 operational CO2 flood projects, while other countries face challenges such as limited infrastructure and sources. To date, over 100 EOR projects involving CO₂ flooding have been recorded. This publication presents a comprehensive overview of international experiences and methodologies pertaining to the application of CO₂ flooding for enhancing oil production efficiency. Furthermore, it emphasizes the potential projects and applications of this technology within the context of Kazakhstan.

This study examines the practice of implementing project management standards in production logistics. The goal of the study is to evaluate the maturity level of PM at the company engaged in the field of production logistics. The research was conducted on the materials of the company "Mehelektromontazh" LLP for the period of 2020-2022 through the analysis of key performance indicators and data from interviews. The study employed comparative and statistical analysis to assess the company's position. Standards in the field of project management, such as PMBOK, ISO, P2M, SSPM, etc. were compared. Research methodology is based on using the OPM3 model which helped to evaluate the PM maturity in logistics company. According to the evaluation results, the most developed areas in LLP "Mehelektromontazh" are procurement and scheduling management (100%), cost management (90%), and human resources management (75%). The least utilized project practices in this company are content management (25%), stakeholders management (50%), senior management (60%), and integration management (55%). The analysis conducted allowed for the formulation of recommendations for the implementation of project management standards to optimize logistics in the company's production process.

 Project management (PM) is one of the most important aspects of modern business and society. Successful completion of projects can ensure the growth and development of organizations, as well as the social well-being of society and the country. As businesses continue to operate in a dynamic environment, the need for a flexible and responsive PM approach has become increasingly important. This led to the popularity of Agile methodology, which emphasizes collaboration, continuous improvement, and customer satisfaction. While Agile has proven successful in many projects, it also comes with its challenges and risks. Therefore, understanding the success and risk factors associated with using Agile is crucial for project managers to plan and manage Agile projects effectively. The aim is to understand if the implementation of Agile is vital to revolutionize PM or if Agile has a placebo effect by presenting numerically represented proofs. The aim of the study is also to identify risk and success factors influenced by the Agile methodology. To achieve this goal, theoretical study of other countries and the practical part. The theoretical part considers the project concept, risk factors and project success. In the empirical part, a questionnaire was used among PM experts to collect primary information. To analyze the results of the questionnaire, the following methods were used: Cronbach’s Alpha and Manna Whitney. As a result of the study, risk and success factors were identified in projects positively influenced by Agile. Namely, it increases the probability and influence of success factors and reduces the likelihood and influence of risk factors. These recommendations are for future research. The results of the study can be used to decide on the implementation of Agile methodology and further improve the practical experience of implementing Agile methodology.