The use of ash and slag mixtures of thermal power plants in the structures of road coverings of highways makes it possible to significantly increase the volume of their reuse. One of the promising directions is their application in the compositions of stabilized soils. To assess the effectiveness of the use of these materials, such indicators as the cost of construction and the total thickness of the pavement structure are used. According to the results of the conducted research, it was found that the reduction in the total thickness of road clothing with layers of ash and slag mixtures of CHP compared with layers of traditional materials was up to 48%, the reduction in the cost of building road clothing structures using ash and slag mixtures is up to 21%.

Keywords: stabilized soils, ash and slag mixtures, road clothing, base of road clothing

The main maintenance of a diversification of production as activity of subjects of managing is considered. being shown in purchase of the operating enterprises, the organizations of the new enterprises, redistribution of investments in interests of the organization and development of new production on available floor spaces. The most important organizational economic targets of a diversification of management are presented by innovative activity of the industrial enterprise.

Keywords: construction, lean manufacturing, process approach, value creation process, IDEF0 notation, kpi

The current problems of the construction industry are considered and an algorithm for the introduction of modern, flexible management methodologies to improve the efficiency of the management process in construction design organizations is proposed, as well as a variant of an integrated efficiency assessment system taking into account KPIs is being developed.

Keywords: construction, design organizations, KPIs, flexible management, Agile, Lean manufacturing, stakeholders, efficiency

This study analyzes classical machine learning methods applied to the prediction of corporate bond yield spreads. Both linear methods, such as Principal Component Analysis and Partial Least Squares, and nonlinear methods, such as copula regression and adaptive regression splines, are examined. The study also explores the potential application of Random Forest models and classical neural networks. It includes a description of the data used for forecasting and presents some results of the empirical analysis. The findings have the potential to significantly impact practitioners and the scientific community striving to improve forecasting accuracy and optimize investment strategies.

Keywords: Machine Learning, Financial Engineering, Stock Market Modeling, Bond Market

The article discusses the relationship between the parameters of the construction flow and the cost of work. A key aspect of the process of increasing profits, minimizing costs and improving the characteristics of products is the justification of the timing of the construction of facilities. Estimating the duration and cost of work enables the decision maker to come to more informed business decisions. The estimated construction estimate does not include all the organizational, technological and financial costs of the construction company. The costs of planned downtime of performers and the front of work, improving the quality of construction products, etc. are not taken into account. The primary task is to systematize the correlation of dependencies between the parameters of the construction flow, namely the duration, number of participants and individual stages of construction work, their intensity and degree of workload of performers, and on the other hand, the cost of construction with different approaches to organization construction processes and works. Relationships and dependencies between flow parameters and costs have been established.

Keywords: organizational and technological solutions, reliability, quality control, efficiency, cost, labor productivity

The article analyzes the influence of the parameters of the composition of the traffic flow of vehicles and the parameter of changing the speed limit on road safety in the Tyumen region. Indicators of relative accident rates for highways and short sections of roads are determined, formulas for their calculation are obtained. The results of the analysis made it possible to assess the impact of the parameters on road safety and formulate tasks for its improvement.

Keywords: Safety, road, transport, speed, mode, composition, flow, accident rate, parameters

This article provides a comparative analysis of various methods for filtering a signal obtained using a spectroradiometer. The following filtering methods were used in the study: moving average method, spline interpolation method, and Savitsky-Golay method. An Ocean Insight SR-2XR250-25 spectroradiometer was used as a spectral radiation receiver, and a white LED was used as a radiation source. Based on the results of the study, the most optimal filter for processing the results of spectral measurements of light sources was determined, which will be further used in the software of the goniospectroradiometer being developed.

Keywords: spectral density of radiation, spectroradiometer, radiation receiver, radiation source, signal filtration methods

In an era when knowledge is becoming the foundation of a company's success, skillful human factor management is of great importance. The employee is the main generator of knowledge, skills and abilities. Personnel is an indispensable element in the production system, as nothing happens without human involvement. A person and their qualifications become a key determinant of the efficiency of the production process. The perception of employees through the prism of capital capable of generating profits is being introduced as a concept into daily management practice. However, the stereotypes that have formed over the years about the benefits of using cheap, unskilled labor as an easily replaceable component cannot be quickly overcome. The effective functioning of the production system and the achievement of its goals require the introduction of modern human factor management concepts that respond to the challenges occurring in the internal and external environment of modern organizations. Today, it is becoming necessary to take into account the problems associated with quantitative and qualitative transformations of human resources. The qualification of personnel is an important factor in the accurate execution of the production plan, which is confirmed by empirical research data.

Keywords: organization management, personnel, human resources, human factor, plan execution

For the design of automated sorting stations of solid municipal waste it is necessary to develop algorithms and devices that allow to determine the fractions of municipal solid waste (MSW) with the necessary detail. Currently, sorting stations have been created that allow to determine the basic morphological components of MSW, but the problem of in-depth detailing needs to be elaborated. The aim of the work is to develop an algorithm for the extraction of MSW fractions with the possibility of regulating the component composition of waste. A methodology for synthesizing a device for determining waste fractions is shown. It is proposed to use a finite sequence automaton as a sorting algorithm. The synthesis of logical equations on the basis of Moore's automaton is shown. Simulation of the device operation is carried out with the help of MULTISIM program. In the presence of certain sensors it is possible to realize this technique in practice. The results can be useful for the design of sorting stations of MSW . The results of the experiment demonstrated that with the help of sequence automaton synthesis technique it is possible to develop an analyzer for determining the refined waste fractions. For implementation in practice, it is necessary to have certain analyzers for determining the components of MSW, which can contribute to more detailed sorting of MSW in the design of sorting stations.

Keywords: solid municipal waste, MSW, sorting, sequence automaton, Moore's automaton

The work includes an analysis of the mathematical apparatus determining the influence of parasitic parameters of the capacitor, the topology of the printed circuit board on the effective range of the decoupling capacitor. A mathematical apparatus is presented that determines the shift in the resonant frequency of the connected decoupling capacitor, taking into account the parasitic parameters of the topology.

Keywords: power distribution system, decoupling capacitor, self-resonance frequency, anti-resonance frequency, effective range, parasitic parameters, topology

The article discusses the method of random investment in the problem of risk management. An algorithm for calculating the optimal distribution for a limited sample is formulated. An example of calculating the optimal distribution is given.

Keywords: portfolio,profitability, risk, investment, sample

The step-by-step construction of a computer model of the process of long-angle drawing of profile pipes is considered. The minimum dimensions of the blanks have been determined, the use of which ensures the necessary dimensions of the finished product. The scheme of applying a deforming force with size adjustment in the current state during step-by-step deformation is taken into account. Geometric and finite element models have been obtained that make it possible to find all the parameters of the deformation site during the drawing process.

Keywords: dimensions of the workpiece, profile pipe, boundary conditions, load application, physical model, finite element grid

The paper considers the experience of using neural networks in construction. The widespread coverage of AI success in various areas of construction has led to an increase in business and public interest in the successful implementation of AI in various construction areas. Examples of the use of neural networks in the construction expertise of the working documentation "Metal structures" and "Metal detailed structures" are given. The process of solving the assigned tasks by an expert builder in comparison with the answers received by the neural network is described. A comparative analysis of the quality of the results obtained by the expert builder and artificial intelligence is given. As part of this study, the main algorithms for training neural networks that are applicable to solving the problem were analyzed. Particular attention is paid to algorithms capable of efficiently handling parameter variations and new configurations not represented in the training dataset. The use of these algorithms will provide increased accuracy when scaling the solution. A neural network forecast for this area of construction expertise is given.

Keywords: neural network, construction, construction expertise, expert builder, comparative analysis, training sample, neural network forecast

The issue of development and practical application of the developed methodological support for grinding control based on automated assessment of the dynamic quality of the machine tool based on integral estimates of the autocorrelation function of oscillations and its relationship with the quality of processing of bearing ring raceways is considered.

Keywords: grinding control, vibroacoustic oscillations, automated measurements, stochastic characteristics, dynamic quality of the machine, bearing rings, quality of processing

The article discusses modern approaches to casting and rolling technologies of aluminum alloys, characterized by unique physical and mechanical properties that determine their key importance in the development of industrial production. The analysis of traditional casting methods such as coquille, centrifugal and injection molding, as well as hot, cold and high-precision rolling processes is carried out. Special attention is paid to the prospects of digitalization of these technological processes, including the use of digital twins, machine learning methods and big data analysis, which allows optimizing production operations, improving product quality and reducing costs.

Keywords: aluminum alloys, digital twins, optimization of production processes, metallurgical industry, casting, rolling

Advanced nuclear power technologies such as small modular reactors (SMRs) and micro-reactors, a subset of SMRs, have the potential to play a key role in the coming nuclear power expansion. Connect with technical innovators, manufacturers, designers, and government regulators to discuss advancements and gain insights on the latest AMR and SMR projects in the UK and globally. 2024 year's world patents are presented.

Keywords: nuclear technology, small modular reactor, micro-reactor, modern patents

The article describes the process of developing and optimizing a Telegram bot for remote server management. As part of the study, an application was developed, implemented in Python using the Telegram API and using the PostgreSQL DBMS to store data as part of the workflow. The system is designed to optimize the workflow in the field of administration, providing users with an easy way to manage servers via Telegram. With the help of the created bot, users will be able to control servers, execute the necessary commands remotely, receive up-to-date information and monitor the status of servers in real time. The development of the bot included several stages, from architecture design to testing and implementation. Particular attention was paid to data security and system reliability to ensure stable operation and protection from unauthorized access. As a result, a functional and convenient tool was created that significantly simplifies administration tasks and increases the efficiency of server management.

Keywords: python, ssh, it-service, telegram-api, postgresql, psycopg2, aiogram, sql, bot, administration, remote control

The relevance of this study is due to the need to ensure the reliability and correction of data received from digital devices. Measurement errors can lead to serious consequences, including loss of resources, unreliable scientific data, and security risks. Therefore, it is important to analyze effective methods that help optimize calibration processes. The purpose of the study is to analyze the existing methods of calibration and verification of the accuracy of digital measuring instruments, as well as their impact on measurement results in various operating conditions. The research methods include a theoretical review and analysis of current scientific papers aimed at identifying recommendations for improving the reliability and accuracy of instrument readings. Special attention is paid to the introduction of modern technologies that contribute to improving the quality of measurements. The study provides an overview of modern methods of calibration and verification of the accuracy of digital measuring instruments. Such approaches as simulation modeling, self-calibration, application of software systems and automation of operations in the verification process are considered. The influence of various factors, including operating conditions and the environment, on the measurement results is also analyzed. As a result, it was revealed that automation of verification significantly reduces the influence of the human factor and improves accuracy. The introduction of modern technologies and quality management systems is key to achieving high standards in the field of measurement. A systematic approach to quality management, including consideration of external conditions, is necessary to increase the accuracy and confidence in measurement results.

Keywords: digital measuring instruments, calibration, accuracy verification, verification, operating conditions, measurement reliability, instrument readings, error

Geopolymers and alkali-activated materials are cement-free composites formulated by activating alumino-silicate materials, such as fly ash, meta-kaolin, and silica fume, and calcium-rich materials. The Geopolymer Materials Market grew from USD 12.48 billion in 2023 to USD 15.69 billion in 2024. It is expected to continue growing at a CAGR of 29.46%, reaching USD 76.07 billion by 2030. Today we found about 750 patents of USA, China, Japan and other countries. The selected last year patents have emerged on the usage of geopolymeric mortars for 3D printing, grouting, sewage lining, and wastewater treatment.

Keywords: geopolymers, alkali-activated materials, market of geopolymers, patents on geopolymers, application in in civil engineering