Programming Framework Research Articles

Nonzero-sum game-based decentralized approximate optimal control of modular robot manipulators with coordinate operation tasks using value iteration

Abstract Accurate trajectory tracking and appropriate contact force are crucial for the coordinated operation-oriented control of modular robot manipulators (MRMs). Considering the practical need for precision in system control, resource optimization, and disturbance compensation within the context of the coordinated operation tasks (COTs) of MRMs, this paper employs a value iteration (VI) technique to devise a decentralized approximate optimal control strategy grounded in nonzero-sum game (NZSG) theory. To obtain more accurate, reliable, and safe control, a dynamic model of the MRM is established using joint torque feedback technology; then, the problem of optimal control for MRM systems focused on coordinated operation-oriented control is reformulated as an NZSG involving multiple subsystems. The present study, grounded in the theoretical framework of the adaptive dynamic programming (ADP) algorithm, employs an event-triggered NZSG strategy, utilizing VI to resolve the coupled Hamilton–Jacobian equations, culminating in the derivation of the Nash equilibrium solutions. Through stringent stability analysis, it is established that the trajectory tracking error for the closed-loop MRM system engaged in COTs is uniformly ultimately bounded. The proposed method’s efficacy is subsequently corroborated through experimental validation.

Multiobjective energy management of multi-source offshore parks assisted with hybrid battery and hydrogen/fuel-cell energy storage systems

With the recent advancements in the development of hybrid offshore parks and the expected large-scale implementation of them in the near future, it becomes paramount to investigate proper energy management strategies to improve the integrability of these parks into the power systems. This paper addresses a multiobjective energy management approach using a hybrid energy storage system comprising batteries and hydrogen/fuel-cell systems applied to multi-source wind-wave and wind-solar offshore parks to maximize the delivered energy while minimizing the variations of the power output. To find the solution of the optimization problem defined for energy management, a strategy is proposed based on the examination of a set of weighting factors to form the Pareto front while the problem associated with each of them is assessed in a mixed-integer linear programming framework. Subsequently, fuzzy decision making is applied to select the final solution among the ones existing in the Pareto front. The studies are implemented in different locations considering scenarios for electrical system limitation and the place of the storage units. According to the results, applying the proposed multiobjective framework successfully addresses the enhancement of energy delivery and the decrease in power output fluctuations in the hybrid offshore parks across all scenarios of electrical system limitation and combinational storage locations. Based on the results, in addition to the increase in delivered energy, a decrease in power variations by around 40 % up to over 80 % is observed in the studied cases.

Entrepreneurs in residence at the nexus of regional economy and university entrepreneurial ecosystems

ABSTRACT Entrepreneurial ecosystem (EE) is a novel perspective to analyse the interplay between support systems and businesses in regions. Simultaneously, universities have been playing increasingly important roles in entrepreneurship, fostering economic growth both through the wider regional economy (RE) and their own university EEs (UEEs). Entrepreneurs in residence (EiRs), chosen by universities as exemplar entrepreneurs, therefore provide potentially important conduits between the regional economy, UEEs and entrepreneurs, leading us to explore how and why do EiRs and universities interact in relation to entrepreneurial ecosystems to enhance the regional economy? Our qualitative study of a UK university case, conducted in the context of the COVID-19 pandemic which severely impacted many businesses’ access to resources, gives a particular temporal context to this research. It identifies accessing resources, building legitimacy and undertaking bridging activities as the three highest-level dimensions characterising EiR–university interactions, which have relevance for both the UEE and regional economy more widely, offering a framework for future EiR programmes. This study contributes to the regional entrepreneurship and EE literature, by examining the role of regional universities as anchor tenants and catalysts of entrepreneurial growth and resilience within regions, and calls for further research into the evolution of EiR–university interactions in different institutional contexts.

MedGuard: Your Pharmacy Guardian

Abstract: MedGuard emerges as a revolutionary Android-based application designed to address the persistent challenges within the pharmaceutical industry, particularly focusing on the management of expired medicines and the maintenance of optimal inventory levels. The complexities surrounding these tasks have long plagued pharmacies worldwide, necessitating an innovative solution.This project introduces MedGuard, an integrated platform that streamlines the process of identifying and removing expired medications while proactively monitoring and managing stock levels of essential items. MedGuard offers a suite of features including real-time inventory management, expiration date alerts, customizable thresholds, inventory analytics, supplier integration, and patient safety enhancements. The primary objective of this project is to enhance patient safety and improve overall pharmacy operations through the implementation of MedGuard. The methodology involves the development of the application using Android programming languages and frameworks, rigorous testing to ensure reliability and usability, and collaboration with pharmacies for real-world implementation and feedback.The expected impact of MedGuard on the healthcare sector is significant. By addressing critical concerns such as medication expiration and inventory optimization, MedGuard has the potential to revolutionize pharmacy management practices. This abstract provides an overview of the project’s objectives, methodology, and the anticipated benefits of implementing MedGuard in pharmacy settings

Technological tools for multiplatform software development within the labor sector

This article presents the results of a research carried out by graduates of the Software Development and Management Engineering degree, generation 2019-2022 and 2020-2023 from the Universidad Tecnológica de Tehuacán; with the objective of identifying the technological tools that the software production sector currently implements in the development of multiplatform applications. A survey was applied to the graduates according to the Tuning Latin America project to be answered based on their professional experience developed during their stay and work activity. With the statistical analysis, the programming languages, frameworks and databases implemented and/or in trend could be identified. The results were of great impact to generate a comparison with the tools implemented within the curricular map of the Educational Program and thereby strengthen its academic activities and technical knowledge to guarantee the quality of the service offered by the institution at a professional level.

AI-Based Optimization of Packing Problems for Enhancing Medical Safety Systems

In the context of enhancing medical safety systems, AI-based optimization of packing solutions is crucial, particularly in the secure and sanitary storage of hazardous materials within healthcare environments. Ensuring that toxic, radioactive, or infectious substances are stored according to strict sanitary guidelines is vital for protecting public health and preventing contamination. This study introduces an AI-driven mathematical model to address packing problems, with a focus on meeting both technological and hygiene standards. By modeling the optimal placement of containers in a deployment area and incorporating key safety and sanitary restrictions, the problem is reduced to a nonlinear programming framework. The phi-function technique is utilized to capture geometric relationships effectively, enabling the development of AI-optimized, sanitary-compliant storage solutions. Numerical examples are provided to demonstrate the approach's efficacy

Monitoring of chrome and nickel contents in agroecosystems of Central Chernozem region of Russia

The research was carried out within the framework of the state agroecological monitoring program. The goal was to conduct an environmental assessment of chromium and nickel content in agroecosystems of the southwestern part of the Central Chernozem region using the example of the Belgorod region. All analytical studies were carried out in an accredited testing laboratory using generally accepted methods. During the research, it was found that the average gross content of chromium and nickel in the arable layer in leached chernozems is 19.8 and 24.5, in typical chernozems – 20.0 and 24.9, in ordinary chernozems – 20.9 and 26.6 mg/kg, respectively. The average content of mobile forms of chromium in the studied soils was in the range of 0.13–0.14, nickel – 0.37–0.41 mg/kg. Exceeding the levels of the approximately permissible amount of nickel and the maximum permissible concentration of mobile forms of these heavy metals in soils was not detected. In the agroecosystems of the Belgorod region, chromium and nickel are mainly supplied with organic fertilizers, but this does not pose a risk for soil contamination and crop production. The highest average chromium content (0.45 mg/kg) was observed in sunflower seeds, and the lowest (0.22 mg/kg) in corn grain. Soybean grain is characterized by an abnormally high nickel content (4.81 mg/kg), and the lowest concentration (0.63 mg/kg) is observed in corn grain.

Framework and overview of the Pediatric Spinal Muscular Atrophy Registry Program of Iran

BackgroundThe Pediatric Spinal Muscular Atrophy Registry Program of Iran (PSMAIR) was established as part of the global TREAT-NMD network, which collects data from spinal muscular atrophy (SMA) patients under 18 years of age in Iran. The registry employs a web-based data entry system to collect detailed longitudinal demographic, geographic, clinical, genetic, and treatment outcome data of Iranian children who suffer from SMA.ResultsFrom October 2021 to September 2022, 59 SMA patients were enrolled; 52.5% were female, 47.5% were male, and the average age was 4.98 ± 4.08 years. The majority of registered patients were diagnosed with SMA Type I (47%), followed by Type II (29%) and Type III (24%). Overall, about 19% of the registered patients died; all of them were Type I patients. In the registry, 44% of patients had been hospitalized previously. Usage rates for wheelchairs or other mobility assistive devices, occurrence of scoliosis, tube feeding, and mechanical ventilation among these patients were 15%, 15%, 19%, and 20%, respectively. The data reveal a gradient of severity across SMA types, with earlier symptom onset, lower CMAP amplitude, and lower ACTIVLIM scores associated with more severe SMA (type I), and increments observed moving towards milder forms (type III). The data reveal that symptom onset age, CMAP amplitude, and ACTIVLIM scores progressively increase from SMA type I to SMA type III. The CHOP-INTEND questionnaire's average score was notably higher in children with SMA type II compared to those with type I, while the HFMSE questionnaire scores were notably increased in type III compared to type II patients. A significant correlation between the SMN2 copy number and the SMA phenotype was observed in the population. The geographic distribution of the enrolled patients covers 15 and 18 (out of the 31) provinces of Iran for place of birth and current place of residence, respectively. For patients residing outside Tehran city (where the registry’s referral center is located), the average distance to the registry’s referral center was roughly 463 km.ConclusionsThe PSMAIR offers an important step toward understanding the characteristics of Iranian pediatric SMA patients. The outcome of PSMAIR facilitates data-driven planning and decision-making for Iranian pediatric SMA patients and can help in the advancement of SMA care standards, management, and therapies.

Optimizing last-mile delivery: a dynamic compensation strategy for occasional drivers

AbstractAmid the rapid growth of online retail, last-mile delivery faces significant challenges, including the cost-effective delivery of goods to all delivery locations. Our work contributes to this stream by applying dynamic pricing techniques to effectively model the possible involvement of the crowd in fulfilling delivery tasks. The use of occasional drivers (ODs) as a viable, cost-effective alternative to traditional dedicated drivers (DDs) prompts the necessity to focus on the inherent challenge posed by the uncertainty of ODs’ arrival times and willingness to perform deliveries. We introduce a dynamic programming framework that offers individualized bundles of a delivery task and compensation to ODs as they arrive. This model, akin to a reversed form of dynamic pricing, accounts for ODs’ decision-making by treating their acceptance thresholds as a random variable. Therefore, our model addresses the dynamic and stochastic nature of OD availability and decision-making. We analytically solve the stage-wise optimization problem, outline inherent challenges such as the curses of dimensionality, and present structural properties. Tailored to meet these challenges, our approximation methods aim to accurately determine avoided costs, which are a key factor in calculating optimal compensation. Our simulation study reveals that the savings generated by involving ODs in deliveries can be significantly increased through our individualized dynamic compensation policy. This approach not only excels in generating savings for the firm but also provides a utility surplus for ODs. Additionally, we demonstrate the applicability of our approach to scenarios with time windows and illustrate the trade-off that arises from time window partitioning.

НАПРАВЛЕНИЯ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ МЕЖДУНАРОДНОЙ ПРАВОВОЙ ПОМОЩИ ПО УГОЛОВНЫМ ДЕЛАМ В РОССИЙСКОЙ ФЕДЕРАЦИИ

Introduction: the author examines the factors that enhance the efficacy of legal assistance in criminal cases, identifies concerns and features in a preliminary investigation when international cooperation of law enforcement agencies is required, and elucidates the primary reasons for the incompatibility between domestic law and international law. In light of the findings of the study, the author puts forth suggestions for future development in this field and recommendations for enhancing the efficacy of the preliminary investigation body. Materials and Methods: the study was based on an analysis of international treaties and agreements, regulatory acts, and the proceeding papers of the subject. The author employed a dialectical, comparative legal and legal methodology. Results: the findings indicate that international legal instruments regulating legal assistance in criminal cases are comprehensive in nature. However, an analysis of the legal acts suggests that this area is not without shortcomings and requires comprehensive and coherent enhancement. Furthermore, there is a discrepancy between the practices of law enforcement in international criminal proceedings and the realities of the modern world. To address these shortcomings, the author proposes that Russian education should be oriented towards training specialists who meet the demands of the contemporary era. The author suggests the introduction of specialized courses in foreign criminal law and procedural law. Discussion and Conclusions: it is imperative that a codification of mutual legal assistance be established. Domestic codification is feasible through the enactment of a specific law or the amendment of existing criminal and criminal procedural legislation. The author's perspective is that the enactment is a more preferable course of action for the Russian Federation. In order to enhance the efficiency and efficacy of the investigative work conducted by the Ministry of Internal Affairs of the Russian Federation, it is essential to implement measures that facilitate international cooperation. 1. It is imperative to guarantee precise adherence to the stipulations set forth in regulatory documents. 2. It is imperative to establish personal accountability of the pertinent managerial personnel for the organisation of work in this domain. 3. It is recommended that additional training be conducted within the framework of the official training programme, with the adoption of credits for the study of international cooperation norms and the criminal procedure legislation of the Russian Federation.

Доказательное социальное проектирование в сфере детства: модель компетенций cпециалиста некоммерческой организации

<p>The article describes the results of studying the needs of specialists of non-profit organizations dealing with the topic of family and childhood in the development of professional competencies in the field of social service design. The study has confirmed the relevance of professional and advanced training among social service professionals. The study made it possible to identify the main priority areas in project skills training in the non-profit sector and develop on their basis a model of professional competencies of a social service professional, including 9 clusters in three main areas: “Project Community”, “Project Cycle” and “Project Infrastructure”. The competence model presented in the work formed the basis of a 72-hour advanced training course, and is also implemented within the framework of the master's program "Evidence-based design and evaluation of projects in the field of social risk management in social service" of the Moscow State University of Psychology and Education.</p>

Charging Optimization with an Improved Dynamic Programming for Electro-Gasoline Hybrid Powered Compound-Wing Unmanned Aerial Vehicle

For a longer endurance of vertical and level cruise flight, an electro-gasoline hybrid power system is introduced on a compound-wing unmanned aerial vehicle (UAV). After discharging during vertical flight, the battery pack is charged by a piston engine-driven generator, which simultaneously powers the UAV for level cruise flight. A charging model is established based on the configuration of the hybrid power system. Considering fuel consumption and battery attenuation within the typical flight profile of a compound-wing UAV, an optimized charging plan is developed using dynamic programming to determine the trajectory of the generated power sequence. To address deviations between ideal and practical flight conditions in terms of charging performance, a feedforward compensation is introduced to improve optimal tracking control within the dynamic programming framework. Simulations validate the effectiveness of the optimized charging plan, while testbench experiments confirm improvements achieved through compensation enhancement. The results demonstrate practicality with minimal overall cost compared to other conventional control plans.

Leveraging Non-formal Action Research to Enhance Teacher Research Activity at a Pedagogical University in Republic of Kazakhstan

The study was conducted with the aim of identifying the possibilities for implementing the informal research method of Action Research into the educational process of a pedagogical university as a tool for enhancing the research activity of university teachers in Kazakhstan. The significance of mastering this method by pedagogical university faculty is grounded in their ability to disseminate their experience, involving students—future teachers—in a cyclical process of continuous research and transformation of their pedagogical practices. As a result of the literature review, the advantages of Action Research were highlighted, particularly in terms of activating personal, professional, and environmental resources that were previously underutilized in traditional formal research formats. The relevance of the study lies in the necessity to examine global experiences with informal research methods, focusing on the feasibility of their implementation with consideration of the specific context of Kazakhstan. The article describes the process of conceptualizing the informal method of Action Research, diagnosing awareness and demand for this method among young pedagogical university faculty, developing and testing a program for its implementation, evaluating its effectiveness, ensuring post-course support, and determining the prospects for integrating the method on a national scale. Methods such as surveys, pilot studies, formative experiments, and Action Research tools were applied. A pilot implementation of Action Research was conducted to develop the research activity of young faculty members at Abai University, considering their needs within the framework of a modular professional development program titled “Action Research – the Foundation for Developing a Pedagogue-Researcher Model.” Analysis of the results confirmed the effectiveness of implementing the method in enhancing the research activity of teachers and transforming them into researcher-teachers. Based on the review and feedback analysis, the prospects for the expanded integration of informal research methods into the practice of education in Kazakhstan were identified.

Application of the Health Belief Model (HBM) to Explore the Quality of Sexual and Reproductive Health (SRH) Education in Sri Lanka

Many countries, including Sri Lanka, are taking steps to integrate sex education into their educational systems to combat child abuse. However, this effort is often met with skepticism in Asian nations, including Sri Lanka. This study takes a unique approach by applying the criteria of the health belief model to predict the quality of reproductive health (SRH) education in Sri Lanka, offering a fresh perspective on this issue. A positive philosophical framework and a deductive approach have been employed to provide justification for the underlying assumptions. A structured questionnaire was used as the survey methodology, which included questions about external cues to action, self-efficacy, perceived barriers, perceived susceptibility, and perceived severity. Data was collected from a total of 384 Sri Lankan non-state undergraduate students to test their perception of these factors and how they affect the perceived benefits of quality SRH education. The level of self-efficacy, perceived susceptibility, and perceived severity yielded a coefficient estimate that was statistically significant, thus influencing the perceived benefits of quality SRH education. These results, obtained through a multivariate regression analysis, underscore the importance of one’s role in implementing effective SRH education. Importantly, there is no evidence that external cues to action and perceived barriers predict the perceived benefits of quality SRH education. This underscores the gravity of the situation and the need for immediate action. The findings of this study have significant practical implications. They can be used to develop an effective SRH program that aims to prevent sexual abuse among adolescents. This study also demonstrates that the health belief model can serve as a useful conceptual framework for such intervention programs, providing tangible solutions to the issue of SRH education quality.

A Study of Coding Framework Generation by ChatGPT

In recent years, large language models (LLMs) have demonstrated remarkable capabilities in the field of code generation. However, existing research has primarily focused on algorithmic problem-solving code generation, with limited attention to the ability to generate framework code used in actual software development. Programming frameworks are vital tools in software development, effectively reducing development time and enhancing code compatibility. This paper takes the Qt framework in C++ as an example to systematically evaluate ChatGPTs performance in code generation at different levels of granularity (project-level, class-level, and function-level). To this end, we designed a test dataset (comprising 10 code generation projects of varying complexity) to assess the models performance in terms of correctness, robustness, and user experience. In this process, we employed prompt engineering methods to ensure fair conversion. The experimental results show that while ChatGPT is capable of generating functional code in most cases, its performance in correctness, robustness, and user experience decreases as task complexity and code granularity increase. Nonetheless, with manual intervention or more detailed prompts, these issues can be largely resolved. Overall, ChatGPT shows potential in framework code generation, particularly for small to medium-sized tasks. This study reveals both the potential and limitations of LLMs in framework development, providing valuable insights for future improvements and applications.

From Ridge 2 Reef: An interdisciplinary model for training the next generation of environmental problem solvers.

Regional and global environmental challenges have become increasingly complex and require broader solutions than a single discipline can provide. Although there is a growing need for interdisciplinary research, many graduate education programs still train students within the confines of a particular discipline or specialty. The Ridge 2 Reef research traineeship program at the University of California, Irvine, aimed to provide transferable and interdisciplinary skill training to prepare graduate students from different disciplines to address current and future environmental challenges. The program achieved its goals through a 'culture of improvement' that ensured trainee needs shaped program management and curriculum. Due to trainee feedback and leaders dedicated to program improvement, there was a complete course overhaul during the first two years of the program, resulting in a final curriculum structure that was more effective and aligned with revised program goals. Program evaluations suggest that the flexibility of the program, diversity of training, overhauled courses offered, and partnership-focused opportunities contributed to more confident graduate students who were more broadly trained and better prepared in their chosen environmental career paths. Based on evaluation surveys, graduate students reported significant gains in scientific, technical, and career knowledge as well as transferrable skills in communication, data analysis, leadership, mentoring, and interdisciplinary collaboration. The structure and evolution of the Ridge 2 Reef traineeship can provide a framework for other graduate education programs to better incorporate interdisciplinary training and student feedback, ultimately improving programs and preparing scientists for the 21st century workforce.

Rotational training structures and national employment in public health education: an organizational perspective

IntroductionPostgraduate medical education (PGME) relies on structured training rotations and workplace-based learning (WBL) to provide comprehensive clinical training and professional development. Emphasizing WBL, PGME integrates theoretical knowledge with practical skills through direct patient care involvement, underscoring the pivotal role of training institutes in supporting these initiatives. While curricular changes in PGME have been extensively studied in clinical teaching hospitals, PGME programs in public health (PGME-PH) remain underexplored, yet their multidisciplinary nature post-COVID-19 underscores the urgency for effective curricular reforms. This study explores how training institutions offering PGME-PH navigate the adoption of structured training rotations and a transition to a national employer by examining organizational perspectives to enhance sustainability and integration of educational innovations in this unique context.MethodsSemistructured interviews were conducted with 14 participants from 8 training institutions offering PGME-PH in the Netherlands between October and November 2022 to explore their experiences with the implementation of a rotational training structure. The interviews were guided by the Consolidated Framework for Implementation Research (CFIR).ResultsThe analysis identified three pivotal themes influencing sustainable implementation and ownership: influence, communication, and motivation. Participants expressed concerns about reduced influence in organizing PGME-PH and noted significant communication challenges, such as ambiguity in roles, program frameworks, and financial aspects. Despite these obstacles, participants showed strong motivation for education and underscored the importance of collaboration and shared responsibility.ConclusionThe successful implementation of structured training rotations was negatively impacted by training institutions’ experience of limited influence and communication challenges. This led to diminished ownership of the new PGME-PH curriculum, potentially affecting its long-term sustainability. Despite these challenges, participants maintain high motivation for educational delivery. Enhancing sustainable implementation requires fostering ownership, promoting collective responsibility, establishing clear communication channels, and nurturing motivation. These factors are crucial for ensuring the success and longevity of educational programs such as PGME-PH.

Стратегическое развитие российских нефтегазовых компаний в условиях экономических санкций

The article examines the positive and negative impact of external environmental factors on the Russian oil and gas business in Russia. PESTLE-analysis by the expert method was carried out, on the basis of which the most significant risks for the gas business – reduction of sales in the European market and ban on oil and gas equipment supplies – were identified using quantitative assessments. The impact of sanctions on the operational results of PJSC “Gazprom” was investigated, revealing a substantial decline in revenue and profit from sales, primarily due to the imposition of anti-Russian restrictive measures. These negative trends were partially mitigated by an increase in gas supplies to China and the Commonwealth of Independent States (CIS), as well as growing domestic market demands, which altered the geographical structure of sales volumes. Within the framework of a long-term development program, the article substantiates the potential for diversifying gas export supplies to Asia-Pacific countries and identifies revenue growth reserves through the gasification of Russian regions using statistical methods. Additionally, the advantages of redirecting supplies of key oil and gas equipment to Chinese manufacturers were identified, which could significantly reduce both the delivery time and costs by up to 40 %.

Digital and technological modernization of the world's largest West Siberian oil and gas production center

The article examines the results of digital and technological modernization of the oil and gas industry within the framework of the state program "Digital Economy 2017-2024" in the implementation of measures proposed by academic institutes of the Russian Academy of Sciences on the basis of a comprehensive scientific and technical program of a full innovation cycle, as well as the potential of exploratory and applied research to prepare a new state program "Data Economy" for the period up to 2030 of the year. The activities are a set of interrelated scientific, technical, digital solutions and innovative technologies that ensure the achievement of goals, developed with the leading participation of the Institute of Oil and Gas Problems of the Russian Academy of Sciences and the Institute of Oil and Gas Geology and Geophysics named after. A. A. Trofimuk SB RAS, program “Digital and technological modernization of the world’s largest West Siberian oil and gas production center.” The main goal of scientific research for the oil and gas economy of big geodata is the creation and implementation of digital modeling technologies, the development of ecosystems, computing platforms and digital twins of oil and gas assets, and the transportation of hydrocarbons to existing and newly created petrochemical clusters in order to develop the domestic market for their complete processing into products with high added value and strengthening the digital leadership of Russian energy companies. The key factor hindering the innovative development of the Russian oil and gas complex is the lack of high-performance computing systems. The main oil and gas tasks that require the involvement of supercomputers with peta- and exascale performance levels (1015 and 1018 floating point operations per second, respectively) include the tasks of managing the “digital ecosystem” of the world’s largest West Siberian oil and gas production center and unique oil and gas fields in the real time. The development of the digital ecosystem is proposed to be formed on the basis of platform solutions and comprehensive scientific and technical programs and projects of a full innovation cycle. The main problems in the sphere of creating a digital energy economy of big data have been identified: an acute shortage of personnel with digital competencies in the field of oil and gas production, specialists in opticalization, multisensorization, supercomputing, cybersecurity and petrorobotics.

The role of international programs and projects in strengthening the capacity for the development of interterritorial cooperation

Research into the dynamics of the development of European integration processes over the past few years shows that Ukraine has become an active participant in them, and one of the leading roles is played by the presence of common borders with countries that are already EU members. Despite the fact that today the social and economic conditions in the state are extremely difficult, which is caused by Russian military aggression, among the effective directions for solving common development problems and strengthening mutually beneficial ties between neighboring countries is international territorial cooperation at the regional level, local, as well as at the level of individual institutions and public organizations. Such cooperation, in most cases, takes the form of joint international projects involving international technical assistance. The study examines the issue of implementing the EU cohesion policy at different levels of the classification of the territorial division of countries for statistics (NUTS). To date, EU cohesion policy has supported significant improvements in infrastructure, strengthened innovation and capacity building, human capital, public services. A wide range of projects funded through cohesion policy, from health to transport and energy, aim not only at long-term and sustainable growth in less developed regions, but also contribute to sustainable development at the level of EU Member States. At the same time, the issues of implementing effective forms of interregional and cross-border cooperation of Ukraine with the countries of the European Union were revealed, the state of implementation of joint grant projects within the framework of the Interreg programs was analyzed using the example of cooperation between the Transcarpathian region and communities and municipalities of the Republic of Poland. At the same time, the current problematic issues that hinder the increase in the effectiveness of cross-border cooperation at the local level were analyzed in detail, in particular in the context of institutional and resource support, regulatory and informational. Based on the results of the study, the main promising directions for the further development of interterritorial cooperation in Ukraine were outlined and it was established that such cooperation at the local level is a basic element for building international territorial cooperation on its basis.