Skilled Personnel Research Articles

Research on the Problems and Countermeasures of the Ideological and Political Theory Courses and Values Throughout the Curriculum Collaborative Construction in Higher Vocational Colleges

Higher vocational universities are important bases for the training of technical and skilled personnel, as well as important places for values education. How to combine ideological and political education and specialized education well is a difficult problem faced by the current higher vocational education. This paper discusses the existing problems in the collaborative construction of ideological and political courses in higher vocational universities and the values throughout the curriculum from the perspectives of teaching content, teaching methods, and teaching objectives, and proposes corresponding countermeasures, hoping to provide some reference for promoting the quality improvement of ideological and political education in higher vocational colleges.

Automatization of CT Annotation: Combining AI Efficiency with Expert Precision.

The integration of artificial intelligence (AI), particularly through machine learning (ML) and deep learning (DL) algorithms, marks a transformative progression in medical imaging diagnostics. This technical note elucidates a novel methodology for semantic segmentation of the vertebral column in CT scans, exemplified by a dataset of 250 patients from Riga East Clinical University Hospital. Our approach centers on the accurate identification and labeling of individual vertebrae, ranging from C1 to the sacrum-coccyx complex. Patient selection was meticulously conducted, ensuring demographic balance in age and sex, and excluding scans with significant vertebral abnormalities to reduce confounding variables. This strategic selection bolstered the representativeness of our sample, thereby enhancing the external validity of our findings. Our workflow streamlined the segmentation process by eliminating the need for volume stitching, aligning seamlessly with the methodology we present. By leveraging AI, we have introduced a semi-automated annotation system that enables initial data labeling even by individuals without medical expertise. This phase is complemented by thorough manual validation against established anatomical standards, significantly reducing the time traditionally required for segmentation. This dual approach not only conserves resources but also expedites project timelines. While this method significantly advances radiological data annotation, it is not devoid of challenges, such as the necessity for manual validation by anatomically skilled personnel and reliance on specialized GPU hardware. Nonetheless, our methodology represents a substantial leap forward in medical data semantic segmentation, highlighting the potential of AI-driven approaches to revolutionize clinical and research practices in radiology.

ФОРМУВАННЯ СИСТЕМИ ПІДГОТОВКИ ФАХІВЦІВ У СФЕРІ ЗАХИСТУ КРИТИЧНОЇ ІНФРАСТРУКТУРИ: КОМПЕТЕНЦІЇ ВИПУСКНИКІВ ТА ЗМІСТ НАВЧАЛЬНИХ ДИСЦИПЛІН

Background . The Law of Ukraine "On Critical Infrastructure" defines the task of ensuring the security and resilience of critical infrastructure. The practice of implementation of the Law provisions shows the need to introduce a system of education and training of personnel in this area. The observed tendencies of increasing of the range of threats to critical infrastructure, in particular during armed conflict, only emphasize the urgency of raising the level of knowledge and skills of personnel in this area. The purpose of the article is to review potential formats of education and identification of fields of knowledge and specialties within which it is appropriate to reflect issues of critical infrastructure protection in the educational process. Among the important tasks of the article are: a review of research on the problems and the practice of implementation of the educational process in this field, an analysis of legislative and organizational opportunities for the introduction of educational programs, a review of higher education standards and programs, identification of basic competencies of graduates and program results of studies in this area. Methods . There were used methods of theoretical-methodological and comparative analysis for the developing conceptual approaches to the organization of education process on the issues of security and resilience of critical infrastructure. The system-functional analysis of the tasks of the subjects responsible for critical infrastructure protection was used to determine the fields of knowledge and specialties in which it is appropriate to train specialists. Methods of system analysis to form a list of program results of training in this area. Results . The article proposes a methodical approach to determining the necessary competencies, knowledge and skills of the personnel of the subjects of the national system of critical infrastructure protection. The list of specialties in which it is expedient to train specialists by higher education institutions of Ukraine has been defined. A set of competencies and program learning outcomes have been developed, which could serve as basic for developing educational standards and educational programs. A set of educational disciplines is offered that can be a component of the educational process in selected specialties. Conclusions . The article substantiates the legislative conditionality and scientific and practical relevance to establish the system of specialists training in the field of critical infrastructure protection. Though, the training system can cover various forms and methods of training, at the current stage of development of the national critical infrastructure protection system of Ukraine, it is advisable to introduce separate educational programs within the framework of existing educational programs of defined set of specialties. There has been developed the competencies and program outcomes for graduates. A set of educational disciplines that can be a component of the educational process in selected specialties is also proposed. In future, it is necessary to continue research on the development of specific educational programs on the security and resilience of critical infrastructure for various specialties.

A qualitative study on barriers and strategies to hospital preparedness against chemical, biological, radiological, and nuclear incidents.

The effects of chemical, biological, radiological, and nuclear (CBRN) incidents on human society can be irreparable. Preparing the health system for these incidents is essential. This study aims to identify obstacles to hospital preparedness against CBRN incidents and provide solutions. This qualitative study was conducted using semi-structured interview method in 2022. The research community included experts in the fields of CBRN, and 17 persons were included in the study through purposive sampling. The interviews were collected by interview guide and recorded face-to-face and online and were analyzed using thematic content analysis method in MS Word 2016. The interviews' analysis was classified into two main categories and 34 sub-categories. Some of the most important obstacles to the hospital preparedness against CBRN incidents were the lack of proper crisis management, the lack of specialist staff, the stress of employees, the lack of turnover and sufficient rest for employees, legal gaps, and so on. The main strategies were determining the type and extent of the risk factor, strong crisis management, the lack of parallelism, continuous monitoring, having a protocol and road map, appropriate training programs, having skilled personnel, rapid response of personnel, positive attitude of the staff, and the favorable condition of the building. The appointment of an expert in the field of CBRN and having a specialized unit, the existence of specialized and trained staff along with access to the required facilities, clear instructions, and intra-departmental and inter-departmental cooperation affect the readiness of hospitals against CBRN incidents.

Property Management Practices Implementation and Cost Measures Efficiency in the City Government of Calamba: Basis for Action Plan

The focus of this study was to assess the implementation of property management practices and efficiency of cost measures in the City Government of Calamba, aiming to provide insights into key areas of concern and potential strategies for improvement. The study employed a descriptive correlational approach, combining quantitative analysis of stakeholder perceptions. Data were collected using a researcher-made questionnaire through paper surveys and Google forms with 134 respondents, consisting of 20 heads and 114 employees from the office concerned with the implementation of property management practices in the City Government of Calamba. For the treatment of quantitative data, the mean and four-point likert scale, paired t-test, the pearson product moment correlation coefficient and multiple linear regression analysis were used. The analysis revealed that first, the level of implementation of property management practices varied across different areas, with planning, acquisition, and utilization demonstrating robust implementation, while maintenance and disposal of public assets exhibited areas for improvement. Second, the assessment of cost measures efficiency reflected generally high, particularly in funding allocation and technology although skilled personnel needs enhancements. Third, the absence of significant differences in assessment between heads and employees underscored organizational cohesion and alignment of perspectives. Fourth, a significant relationship between property management practices and cost measures highlighted their interconnectedness and the importance of a holistic approach to organizational management. Based on the findings, an action plan entitled, “Strengthening the Property Management Practices and Promoting Cost Efficiency in the City Government of Calamba” was proposed to address the areas of concern in the City Government of Calamba, improve its overall property management practices and enhance cost measures efficiency, ultimately leading to more effective and sustainable governance.

DEVELOPMENT OF BUILDING INFORMATION MODELING (BIM) INNOVATION FROM A PUBLIC POLICY AND STRATEGIC MANAGEMENT PERSPECTIVE: OPPORTUNITIES FOR POLICY FORMULATION AND IMPLEMENTATION IN THE GOVERNMENT SECTOR, THAILAND

This research aims to analyze the readiness of the construction industry in Thailand for the development and formulation of Building Information Modeling (BIM) innovation from a public policy and strategic management perspective. The study examines the opportunities for policy formulation and implementation in the government sector, drawing on successful examples from developed countries, and aims to develop policy and implementation guidelines for stakeholders in the construction industry. The findings reveal that Thailand's construction industry is moderately prepared, with limitations in skilled personnel and government support. Successful adoption of BIM in developed countries shows strong government support, standardization, and continuous personnel training as key factors for success. The study’s recommendations include promoting training and skill development, enhancing government support, studying international case studies, developing support systems and tools, fostering collaboration and communication, and managing change. The adoption of BIM in the government sector can increase efficiency and improve the success of construction projects in Thailand.

Interrelation of Migration and Employment Issues in Economics of New Uzbekistan Policy

This study focuses on the intricate issue of labour migration in Uzbekistan, characterised by both beneficial and detrimental effects. It underscores the role of migration in alleviating rural unemployment and bolstering market relations, but also notes the consequent 'brain drain' of young, skilled personnel, potentially undermining the nation's economic development. Drawing on research from the President's Office, the study evidences the overall positive impact of labour migration on rural socio-economic conditions, including unemployment reduction, income growth, and improved living standards. However, the study also uncovers a significant annual loss of about a million young individuals due to migration. Despite government interventions, such as policies encouraging the repatriation of skilled workers, the study concludes by emphasising the need for more comprehensive strategies to address the multifaceted ramifications of labour migration in Uzbekistan effectively.

Assessment of Anaesthesia Teams' Non-Technical Skills in Clinical Practice before and after Simulation-Based Team Training: A Quasiexperimental Study.

In situ simulation-based team training of non-technical skills is considered an important initiative for preventing adverse events caused by poor teamwork among healthcare personnel. This study aimed to assess the non-technical skills of anaesthesia personnel before and after in situ simulation-based team training in a clinical setting. The study was conducted from October 2020 to June 2021 using a quasiexperimental before and after design based on video-recorded observations and ratings of anaesthesia teams' non-technical skills during anaesthesia induction in the operating room before and shortly after in situ simulation-based team training. Anaesthesia personnel were divided into 20 teams and video recorded during anaesthesia induction. The Anaesthetists' Non-technical Skills (ANTS) system was used to score the teams' non-technical skills. A paired-sample t-test was used to assess the impact of the intervention on the anaesthesia teams' scores on the various ANTS categories. Interrater agreement between the two ANTS raters was assessed using weighted kappa. At the category level, the overall scores had a statistically significant increase in performance after simulation-based team training (3.48 vs. 3.71; p < 0.001). Furthermore, scores of five of the 15 elements were significantly different. Interrater agreement revealed moderate agreement between the two raters (weighted kappa = 0.51, p value <0.001). The anaesthesia teams' increased non-technical skills after simulation-based team training may indicate the transfer of knowledge from training to clinical practice. The moderate agreement between the raters could be attributed to the subjective nature of the evaluation procedure. The ANTS was originally used as an individual assessment tool; however, this study has demonstrated its potential as a team assessment tool.

The impact of migration processes on the construction sector of Kyrgyzstan: Problems and strategies of public administration

This article examines the impact of migration on the construction industry of Kyrgyzstan, and also analyzes the main problems faced by government agencies in managing this process. Aspects such as labor instability, increasing demand for housing resources, changes in urban infrastructure and sociocultural changes are discussed. Possible solutions are proposed for the effective management of migration flows in the construction sector, including improving mechanisms for regulating labor migration, developing programs to support local construction companies and creating conditions for improving the skills of local personnel. In conclusion, a conclusion is drawn about the need for an integrated approach to managing migration processes, taking into account their impact on various aspects of the economy and society of Kyrgyzstan.

Modelling the Hindrances to Building Information Modelling Adoption on Construction Projects in Nigeria

This study was motivated by the need to deploy building information modelling (BIM) and its technologies to improve the realisation of construction projects. Prior to the introduction of BIM, the construction industry was confronted with obstacles and was sluggish in adopting change. Until recently, existing BIM research has mostly focused on large enterprises and there has been an apparent pattern of underrepresentation of medium-sized firms in BIM- related studies. Thus, the purpose of this article is to investigate the major hindrances to BIM’s adoption in construction projects as well as the dynamics of these hindrances in a developing country like Nigeria, using the total interpretive structural modelling (TISM) approach. The TISM displayed an 11-level hierarchy of hindrances made up of independent, dependent and linkage categories. Based on the Matrice d’Impacts Croises Multiplication Appliqué a Classement (MICMAC) analysis, “Lack of skilled BIM personnel” had the highest driving and the lowest dependence (independent) power, thus indicating its importance in the adoption of BIM. The findings further showed that “Lack of awareness of BIM” and “Resistance to change” are critical for the adoption of BIM in construction projects. The drivers (dependents) for the ease of adoption of BIM by policymakers and practitioners within the built industry are thus defined in this study. This study contributes to the early studies of BIM adoption from a developing country’s perspective.

Mathematical modeling of food production technological processes in a computer training complex for operator education

A computer training complex (CTC) structure has been designed for training food production operators, comprising interconnected subsystems generating output parameters. This CTC structure enables the configuration and storage of knowledge on specific technological processes, facilitating the customization of exercises by instructors. Individualized exercises are generated for students to perform in a virtual production environment, utilizing computer programs, tablets, smartphones, or simulated production equipment, including VR/AR technologies. During exercises, student actions are automatically recorded, and a quantitative assessment is provided based on standards, forming a comprehensive evaluation. A mathematical model, represented by a Markov transition graph, captures various states of the virtual production environment during simulated processes at the CTC. This model serves as the basis for constructing specific technological process models in the food industry, tailored to CTC hardware, software, and training methodologies. The methodology presented streamlines the development of training courses for CTC exercises, enhancing personnel knowledge and skills in food production. By utilizing these models, methods, and algorithms, CTCs can be tailored for training operators in diverse food production sectors. The approach outlined simplifies course creation, ensuring personnel development at the desired proficiency level through exercise quality assessment algorithms.

Роль закупочной деятельности в уменьшении углеродного следа в Арктической зоне Российской Федерации

One of the main tasks of the modern energy industry is not only to maximize the efficient use of natural energy resources and preserve their diversity, but also to increase the potential of this sector in the stable growth of the state's economy, improving the quality of life of the population and maintaining a favorable environmental situation in the country. Decarbonization, which implies a reduction in carbon dioxide (CO&lt;sub&gt;2&lt;/sub&gt;) and methane emissions, is a key challenge facing the global energy industry. The purpose of this study is to assess greenhouse gas emissions produced as a result of the activities of the largest energy companies operating in the Arctic zone of the Russian Federation, namely PJSC LUKOIL and PJSC NOVATEK through the analysis of their policies and measures to reduce the carbon footprint, preserve biological diversity and develop the northern region of Russia, identify links between the conduct of procurement activities and support for the sustainable development of the enterprise, including in the environmental field. In the course of the work, a comparative analysis of the activities of companies in the Arctic zone was carried out, their current and prospective projects were described, data on greenhouse gas emissions of the enterprises in question were structured by year, their procurement policy, the necessary requirements for potential suppliers, implemented educational programs and activities for the development of professional skills of personnel were considered, and additional tools were proposed that they will be able to contribute not only to improving the sustainable development of companies in the Arctic, but also, as a result, conservation of natural diversity in the northern part of the Russian Federation.

The collaborative innovation mode of university talent training under the background of industry-education integration

Abstract At present, with the adjustment of industrial structure and industrial restructuring and upgrading, the demand for high-end skilled personnel is increasing, and the state has timely launched the integration of industry and education and the school-enterprise cooperation policy to strengthen the “double subject” status of enterprises and universities. With the help of evolutionary game theory, the study constructs a two-party evolutionary game model of talent cultivation under school-enterprise cooperation between enterprises and colleges and universities, constructs the replication dynamic equations of the two main parties of the game, and explores the stability of the Nash equilibrium point. In order to verify the reliability of the game model results, numerical simulation is carried out, which more intuitively demonstrates the dynamic process of the evolutionary game of talent cultivation under school-enterprise collaboration. When the proportion of enterprises and colleges adopting the strategy of not actively participating in collaborative talent cultivation gradually decreases in the benefits of the two groups, the enterprises choose to deeply participate, and the colleges choose to actively participate in collaborative talent cultivation is an evolutionarily stable strategy and the optimal solution of the model (1,1). It can realize the innovation of university talent cultivation mode through university-enterprise collaboration by establishing a complete information channel, incentive, and constraint mechanism to protect the interests of the two main parties of the game.

Predicting Rheological Properties of Wheat Dough from Flour Properties Using NIR Coupled with Artificial Neural Network

Highlights A multi-layered perceptron type artificial neural network (ANN) was developed to predict the farinograph properties of wheat dough. ANN models with two to four hidden layers were developed for each Farinograph response, i.e., water absorption, dough development time, and dough stability. Permutation importance and Shapley values analysis emphasized the significance of protein content in model prediction. The developed model would serve as a decision support tool for flour mill and bakery managers and would assist in adapting flour mill settings and modifying processing parameters in bakeries. Abstract. Farinograph analysis serves as the standard for determining the baking quality of wheat flour. It measures the water absorption (WA), dough development time (DDT), and stability (DS) of wheat dough. These characteristics depend on wheat flour properties such as protein content, moisture, ash, and falling number. Additionally, farinograph analysis is costly, time-consuming, and requires skilled personnel. Therefore, an artificial neural network (ANN) model was developed to predict the farinograph properties of wheat dough as a function of flour properties. The models were developed using data from 192 wheat samples. Multi-layer perceptron-type feed-forward ANN models with increasing complexity were developed for each response variable, i.e., ANN-WA, ANN-DDT, and ANN-DS, and model success was evaluated via mean squared error (MSE) and correlation coefficient (r). The optimal models had two to four hidden layers, each with five to sixty neurons, and exhibited the lowest MSE and highest r values. In terms of predictive performance, the models ANN-WA and ANN-DDT (r = 0.79) demonstrated superior performance when compared with ANN-DS (r = 0.63). A feature importance analysis was conducted to provide insight on variable contributions, underscoring the significance of flour protein content in the model’s prediction. The study explored the applicability of data-driven ANN models in predicting the rheological characteristics of dough. The developed models could serve as a decision support tool and aid millers in adjusting mill settings and bakers in modifying dough mixing based on dough rheology. Keywords: Artificial neural network, Dough rheology, Farinograph analysis, Milling, NIR.

Дослідження шляхів підвищення оперативності виконання діагностичних операцій електронних систем автотракторної техніки

The purpose of this study is to find ways to reduce production time spent on diagnostic operations during maintenance or repair of electronic control systems (ECS) in automotive vehicles. Existing methods of diagnosing engine control systems in vehicles are sufficiently effective, but in most cases, they require highly skilled personnel, the use of additional complex and expensive equipment, prolonged service cycles, which in turn increases the complexity of maintenance, and also does not provide for prior prediction of faults and system failures. Analysis of scientific publications has shown that to reduce the time for maintenance and repair of electronic systems, it is necessary to predict the residual life of ECS components in vehicles during maintenance, to further reduce the labor intensity of diagnostics and current repairs. In other words, diagnostics performed during maintenance or repair should include predicting the residual life of electronic system components. For the most critical ECS components in vehicles, it is proposed to apply a strategy of replacing them upon reaching a certain mileage, rather than upon failure. This organization method will reduce vehicle downtime in repair and reduce the time to troubleshoot ECS component failures. A method has been proposed for identifying design elements that limit the reliability of the ECS, taking into account the degree of influence of their failures on the engine's technical and economic characteristics and the cost of restoring its performance. The availability of such information is the basis of the ECS maintainability support system. An algorithm has been developed to search for hidden faults in the components of ECS subsystems, which includes predicting the failure of ECS components. This will help reduce the labor intensity of diagnostic operations during maintenance and repair.

PoCOsteo: generic novel platform for bone turnover marker measurement & monitoring.

Despite the increasing efforts in improving bone health assessments, current diagnostics suffer from critical shortcomings. The present article therefore describes a multiplex label-free immunosensor designed and validated for the assessment of two bone turnover markers (BTMs), namely beta isomerized C-terminal telopeptide of type I collagen (CTx) and Procollagen I Intact N-Terminal (PINP), the combination of which is needed to illustrate an accurate overview of bone health. The immunosensor was then tested outside and inside of a microsystem, with the aim of becoming compatible with a point of care system fabricated for automated assessment of these biomarkers later-on at patient side. Custom-made monoclonal antibodies were specifically designed for this purpose in order to guarantee the selectivity of the immunosensor. In the final platform, a finger prick blood sample is introduced into the microfluidic manifolds without any need for sample preparation step, making the tool suitable for near patient and outside of the central laboratory applications. The platform was exploited in 30 real blood samples with the results validated using electrochemiluminescence immunoassay. The results revealed the platform was capable of measuring the target analyte with high sensitivity and beyond the recommended clinical reference range for each biomarker (CTx: 104-1028 ng L-1 and PINP: 16-96 μg L-1, correspondingly). They also showed the platform to have a limit of detection of 15 (ng L-1) and 0.66 (μg L-1), a limit of quantification of 49 (ng L-1) and 2.21 (μg L-1), and an inter- and intra-assay coefficient of variance of 5.39-6.97% and 6.81-5.37%, for CTx and PINP respectively, which is comparable with the gold standard. The main advantage of the platform over the state-of-the art was the capability of providing the results for two markers recommended for assessing bone health within 15 minutes and without the need for skilled personnel or costly infrastructure.

Features of the demand for specialists in the labor market in the sphere of physical education and sports of the Russian Federation

The present investigation aims to evaluate the labor market indicators and qualitative characteristics of the need for specialists in the physical culture and sports industry of the Russian Federation. This study based on the analyze of official government statistics about staff persons in the physical culture and sports and data gathered from a questionnaire survey of organizations operating in the physical culture and sports in 59 regions of the Russian Federation. “Saint-Petersburg scientific-research institute for physical culture” (SPbNIIFK) carried out the survey in 2023 with the participation of 674 state and municipal organizations. The survey conducted using specialized software and a survey web service created by SPbNIIFK’s employees to collect, process, and analyze the data. The research revealed regional differences and indicators of the labor market with the identification of trends in demand for specific qualifications. The collected data may be used to support government and municipal management on personnel policy issues, to create suggestions for employers on attracting skilled personnel, inform job seekers and employees in the physical education and sports about trends in demand for various specialties, and to improve their market labor competitiveness.

An Immiscible-Phase Filtration Device for Isolation, Amplification, and Detection of Nucleic Acids for Clinical Diagnostics.

Clinical diagnostics of infectious diseases via nucleic acid amplification tests (NAATs) depend on a separate step of isolation of nucleic acids from cells/viruses embedded in complex biological matrices. The most recent example has been reverse transcription polymerase chain reaction (RT-PCR) for amplification and detection of SARS-CoV-2 RNA for COVID-19 diagnostics. Kits for RNA extraction and purification are commercially available; however, their integration with amplification systems is generally lacking, resulting in two separate steps, i.e., sample preparation and amplification. This makes NAATs more time-consuming, requiring skilled personnel, and can increase the likelihood of contamination. Here, we describe a setup and methodology to perform the quick extraction and detection of nucleic acids in an integrated manner. In particular, we focus on the use of an immiscible filtration device for capture, isolation,concentration, amplification, and colorimetric detection of SARS-CoV-2 RNA.

Electrochemical sensing of B-complex vitamins: current challenges and future prospects with microfluidic integration.

Vitamins are crucial micronutrients found in limited quantities in food, living organisms, and soil. Since most vitamins are not produced within the human body, a lack of these essential nutrients can result in various physiological disorders. Analyzing vitamins typically involves costly, time-consuming methods, requiring skilled personnel, automated equipment, and dedicated laboratory setups. The pressing need is for the development of efficient, portable, and user-friendly detection techniques that are cost-effective, addressing the challenges associated with traditional analytical approaches. In recent years, electrochemical sensors and electrochemical microfluidic devices have garnered prominence owing to their remarkable sensitivity, quick analysis, cost-effectiveness, and facile fabrication procedures. Electrochemical sensing and microfluidics are two distinct fields that are often integrated to create powerful and versatile sensing devices. The connection between them leverages the advantages of both fields to create highly efficient, miniaturized, and portable analytical systems. This interdisciplinary approach has led to the development of innovative devices with broad applications in various scientific, medical, and environmental domains. This review begins by outlining the importance of vitamins in human nutrition and health and emphasizing the need for precise and reliable sensing techniques. Owing to the limited literature available on electrochemical detection of vitamin B complexes, this review offers an in-depth analysis of modern electrochemical sensing of water-soluble vitamins, focusing on B1, B2, B6, B9, and B12. The challenges faced by researchers are addressed, including selectivity, sensitivity, interference, matrix effects, and calibration, while also exploring promising prospects such as nanomaterial integration, miniaturization, microfluidics-based IoTs, and innovative sensor designs.

Public-private partnership between Satbayev university and SK Geoservice LLP: Enhancing collaboration in technological innovation and production

The article provides a detailed examination of public-private partnerships between Satbayev University and drilling tool manufacturer SK Geoservice LLP. It begins by discussing the underlying reasons for this collaboration, such as the demand for innovation and the advancement of drilling tool production. Subsequently, the article analyzes the partners’ interactions and their respective roles in enhancing the design and production processes of drilling tool manufacturing. Successful instances of the university’s research groups’ scientific endeavors being implemented by drilling tool manufacturing experts from the private sector are cited, indicating a high level of cooperation and mutual benefit. The article concludes by highlighting the partnership’s positive impact on the drilling tools market’s development, private entrepreneurship support and growth in the region, and the training of highly skilled personnel. It suggests that these outcomes create new opportunities for further cooperation and growth. Overall, the article underscores the significance of public-private partnerships in advancing science and technology and advocates for their continued deepening and expansion in Kazakhstan. It also notes that such partnerships contribute to enhancing the quality of education in drilling-related fields and bolstering the competitiveness of Kazakhstani companies in the global market.