Unified Coordination Research Articles

Interlibrary relationship development between Baltic republics

In this article, the main periods of the development of interlibrary relationships between Latvia, Lithuania, and Estonia are characterized. It is suggested that official interlibrary relationships began in 1930 with the organization of the first conference for librarians. Collaboration between the largest scientific libraries of the Baltic republics emerged in the 1950s. However, during the years 1945-1957, the relationships could be characterized as spontaneous, unplanned, and covering only a few areas of library work. Since the 1960s, these relationships became more intensive, with new forms of collaboration being applied. In the 1960s-1970s, traditional forms of interaction between libraries of the same type were implemented in practice. The most intensive relationships were developed between technical libraries. Although recently a unified coordination of this relationship does not exist, which is why the potential for collaboration is only partially utilized, the interlibrary commissions and methodological centers are the main institutions for the further development of interlibrary coordination.

STATE SUPPORT FOR THE ECONOMIC COOPERATION DEVELOPMENT BETWEEN UKRAINE, THE EASTERN PARTNERSHIP COUNTRIES AND THE EU

This comprehensive analysis discusses the reform of Ukraine's state administration, emphasizing the need to integrate global public management theories and practices, and the experiences of Eastern Partnership countries. It highlights the shift from state-centric to human-centric governance, focusing on efficiency, effectiveness, and citizen-oriented services. The document examines the challenges in implementing EU integration mechanisms like Twinning, TAIEX, and SIGMA in Ukraine. It underscores the importance of a unified coordination center for effective implementation and the need to align Ukrainian policies and practices with EU standards, highlighting the necessity for Ukraine to develop its own national concepts of management and public administration, integrating both national and international experiences. Keywords: economic cooperation, EU, Eastern Partnership, development, state support.

УЛУЧШЕНИЕ СИСТЕМЫ ВЗЫСКАНИЯ АЛИМЕНТОВ В КАЗАХСТАНЕ: ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ

The main purpose of this study is to develop recommendations and practical solutions aimed at ensuring a more effective recovery of alimony and protecting the interests of children and other persons in need. The analysis of current legislation, international experience, judicial practice, and scientific research aimed at regulating issues of alimony liability is carried out. The relevance of this topic is due to the need to solve the systemic problems that families face when collecting alimony, as well as the importance of ensuring justice and the material well-being of children. The study examines key aspects of alimony recovery systems in Kazakhstan, including legal regulation, organizational mechanisms, sanctions applied to ensure the fulfillment of alimony obligations, and measures to support families. The methodology includes the analysis of international experience, the study of expert opinions, and the analysis of the effectiveness of measures taken in Kazakhstan. The results of the study reveal problems such as income instability and evasion of obligations, as well as successful practices, including the introduction of a Unified Register of Debtors and the tightening of debtor liability. The conclusions are aimed at proposing concrete measures to automate processes, tighten the responsibility of debtors, create a unified coordination structure, and improve information exchange. The proposed recommendations are intended to improve the system of alimony collection, ensuring more equitable and effective functioning in the interests of families and children in Kazakhstan.

Physician experiences with teleconsultations amidst conflict in Sudan

The current conflict in Sudan severely hinders the accessibility of health services across the country. To address this, several initiatives were proposed including offering services using teleconsultations. This study aimed to assess Sudanese doctors' teleconsultation experience, perception, and concerns during the recent conflict. This cross-sectional survey focused on Sudanese medical officers, residents, specialists, and consultants living inside or outside the country having a practice license from the Sudan Medical Council and conducting teleconsultations with Sudanese patients during the conflict period. The questionnaire was distributed to personal and professional contacts and via social media platforms in the English language among doctors who provided teleconsultation during the conflict. Data analysis was performed using the Statistical Package for Social Sciences software version 26. The study enrolled 2463 clinicians from 17 different specialties, and females represented more than half the sample (56.8%). Internal medicine was the most frequent specialty (36.1%) and the majority (68.7%) of clinicians had less than 5 years of work experience. Voice call was the most frequent platform (50.1%) used for teleconsultation during the conflict and had the highest convenience score (p < 0.01), whereas messaging platforms had the lowest score. Most clinicians (73.3%) agreed that teleconsultations created a trusted patient-physician relationship and provided good-quality care (61.8%). However, 85.1% highlighted the importance of physical touch in medical practice. Clinicians were concerned that incomplete information (81.4%), missed diagnosis (76.8%), medicolegal problems (71.0%), and prescription errors (68.4%) could arise with teleconsultations. Most respondents (70.7%) emphasized the importance of continuing to offer teleconsultation even after the war abated. In conclusion, physicians who participated in the current study agreed that teleconsultation provided quality care even in this dire crisis in Sudan. Based on our study findings, we recommend upscaling telemedicine interventions including teleconsultations at the national level. This would require unified coordination efforts of a wide mix of stakeholders to address concerns identified in the current study.

Allocating payments for ecosystem services under future multiple scenarios in the Yellow River Basin, China

Reasonable payments of Ecosystem Services (PES) standards are crucial to provide eco-environment management countermeasures. However, existing research on the unified coordination of future PES from the overall perspective is insufficient. This paper proposes a framework derived from the patch-generating land-use simulation (PLUS) model and the ecosystem services value (ESV) assessment method for allocation PES funds. The Yellow River Basin (YRB) was taken as a case study, which is a highly integrated and interconnected entity. The PLUS model was used to analyze various land-use situations from 2010 to 2020, and predict future land-use status under different development scenarios including natural development (ND), cropland conservation (CC) and ecological conservation (EC). The ESV approach was applied to calculate the ESV in nine provinces of the YRB, and propose optimized fund distribution schemes. The results showed that (1) The most significant land-use changes during 2010–2020 were impervious, forests, grasslands, and croplands, where the impervious increased by 22.47 % (4642 km2) and the forest increased by 9 % (7623 km2). (2) The total ESV in the YRB will be highest under EC scenario in 2030, at 729.16 billion CNY, and Qinghai, Sichuan, Gansu and Shandong will have the highest ESV under EC scenario. (3) The funds will reach lowest under EC scenario, at 13.35 billion CNY, while reach highest under CC scenario, at 13.58 billion CNY. (4) In any scenario, Qinghai and Gansu province will get the highest PES funds among nine provinces, and financial investment in the Qinghai Province needs to be increased. Based on our results, it is recommended to foster the exploration of horizontal compensation between the downstream provinces of Henan and Shandong, and the upstream provinces of Qinghai, Sichuan, and Gansu, in order to enhance the protection of the eco-environment. The findings can provide scientific guidance for improvement of the PES funds allocation in the YRB, and methodological references for other river basins.

GREENSKY: A fair energy-aware optimization model for UAVs in next-generation wireless networks

Unmanned Aerial Vehicles (UAVs) offer a strategic solution to address the increasing demand for cellular connectivity in rural, remote, and disaster-hit regions lacking traditional infrastructure. However, UAVs’ limited onboard energy storage necessitates optimized, energy-efficient communication strategies and intelligent energy expenditure to maximize productivity. This work proposes a novel joint optimization model to coordinate charging operations across multiple UAVs functioning as aerial base stations. The model optimizes charging station assignments and trajectories to maximize UAV flight time and minimize overall energy expenditure. By leveraging both static ground base stations and mobile supercharging stations for opportunistic charging while considering battery chemistry constraints, the mixed integer linear programming approach reduces energy usage by 9.1 ​% versus conventional greedy heuristics. The key results provide insights into separating charging strategies based on UAV mobility patterns, fully utilizing all available infrastructure through balanced distribution, and strategically leveraging existing base stations before deploying dedicated charging assets. Compared to myopic localized decisions, the globally optimized solution extends battery life and enhances productivity. Overall, this work marks a significant advance in UAV energy management by consolidating multiple improvements within a unified coordination framework focused on joint charging optimization across UAV fleets. The model lays a critical foundation for energy-efficient aerial network deployments to serve the connectivity needs of the future.

An Effective Multi-Agent Ant Colony Optimization Algorithm for QoS-Aware Cloud Service Composition

In order to improve the efficiency of wireless network virtualization resource processing, this paper combines the dynamic resource allocation algorithm to construct a wireless network virtualization resource sharing model. This paper proposes a task-oriented resource management model and uses the task-oriented TRS model to describe resources and service processes, reducing the complexity of formulating resource allocation strategies. Moreover, this paper comprehensively considers factors such as centralized coordination control cost and limited domain topology visibility to improve the dynamic resource allocation algorithm. Through the abstraction and unified representation of network resources, resource sharing, and efficient reuse, the coexistence and integration of heterogeneous wireless networks can be realized. Wireless network virtualization can decouple complex and diverse network management and control functions from hardware and extract them to the upper layer for unified coordination and management, thereby reducing network management costs and improving network management and control efficiency

New Approaches to the Improvement of Coordination Mechanisms

The intensity and scale of communication between people, which have grown significantly over the past three decades, have not yet led to comparable improvements in the coordination of the activities of socioeconomic agents. One of the reasons is the lack of a full-fledged digital transformation of coordination mechanisms. Therefore, an urgent scientific task is to determine methodological approaches for the full digitalization of coordination processes. Cognitive sciences offer a fundamental description of the processes of socioeconomic coordination in the form of a shared mental model of participants in joint activities. Based on this, the concept of coordinating the activity of agents, which is the basis of all coordination processes, is defined. This approach made it possible to identify and analyze the main elements of the fundamental process of coordinating activities, as well as to determine the opportunities for its digitalization. This paper discusses the opportunity to create a unified coordination mechanism based on computer technologies, which, on the one hand, could replace the traditional market and hierarchical mechanisms, and on the other hand, could be used to coordinate all types of joint activities, including non-economic ones.

MOSAIC: Multiobjective Optimization Strategy for AI-Aided Internet of Things Communications

Future Internet of Things (IoT) communication trends toward heterogeneous services and diverse quality-of-service requirements pose fundamental challenges for network management strategies. In particular, multiobjective optimization (MOO) is necessary in resolving the competition among different nodes sharing limited wireless network resources. A unified coordination mechanism is essential such that individual nodes conduct the opportunistic maximization of heterogeneous local objectives for efficient distributed resource allocation. To such a problem, this article proposes an artificial intelligence (AI)-based framework, which is termed as MOO strategy for AI-aided IoT communications (MOSAIC). This framework enables to tackle numerous MOO tasks in IoT network management with simple reconfiguration of learning rules. In this strategy, a component unit associated with an individual network node includes a pair of deep neural networks (DNNs) to learn optimal local functions responsible for calculation and distributed coordination, respectively. The resultant AI module swarm called DNN tiles realizes the node cooperation that collectively seeks distributed MOO calculation rules. The advantage of MOSAIC is characterized by Pareto tradeoffs among conflicting performance metrics in diverse wireless networking configurations subject to severe interference and distinct criteria for multiple targets.

Unified coordination control strategy for DC solid-state transformer in DC microgrid

Unified coordination control strategy for DC solid-state transformer in DC microgrid

An Aggregated Data Integration Approach to the Web and Cloud Platforms through a Modular REST-Based OPC UA Middleware.

The Internet of Things (IoT) empowers the development of heterogeneous systems for various application domains using embedded devices and diverse data transmission protocols. Collaborative integration of these systems in the industrial domain leads to incompatibility and interoperability at different automation levels, requiring unified coordination to exchange information efficiently. The hardware specifications of these devices are resource-constrained, limiting their performance in resource allocation, data management, and remote process supervision. Hence, unlocking network capabilities with other domains such as cloud and web services is required. This study proposed a platform-independent middleware module incorporating the Open Platform Communication Unified Architecture (OPC UA) and Representational State Transfer (REST) paradigms. The object-oriented structure of this middleware allows information contextualization to address interoperability issues and offers aggregated data integration with other domains. RESTful web and cloud platforms were implemented to collect this middleware data, provide remote application support, and enable aggregated resource allocation in a database server. Several performance assessments were conducted on the developed system deployed in Raspberry Pi and Intel NUC PC, which showed acceptable platform resource utilization regarding CPU, bandwidth, and power consumption, with low service, update, and response time requirements. This integrated approach demonstrates an excellent cost-effective prospect for interoperable Machine-to-Machine (M2M) communication, enables remote process supervision, and offers aggregated bulk data management with wider domains.

Обзор программ реабилитации детей с ограниченными возможностями здоровья в г. Ош Киргизской Республики и перспективы применения МКФ

The article provides an overview of rehabilitation programs for children with disabilities in Osh (Kyrgyz Republic) and the prospects for the introduction of ICF into the system of rehabilitation of persons with disabilities based on the analysis of certain medical and social expertise indicators and the prescription of rehabilitation programs for children under 18 years living in the city Osh. The relevance of the study is determined by the high rates of disability among children and the lack of similar research in the Kyrgyz Republic. Over the years of the study (2018–2020) there is an upward trend in repeated disability among children: in 2018 — 62.4%, in 2019 — 64.0%, in 2020 — 73.9%, with a corresponding growth rate in 2019 (−8.2%) and in 2020 (+18%), and in relation to 2018 (+8.2%). One of the reasons for the revealed trend is the low effectiveness of rehabilitation programs for children with disabilities. The analysis of types of rehabilitation (medical, educational, vocational, and technical means of rehabilitation) reveals existing risks and problems caused by outdated rehabilitation technologies without unified coordination and monitoring. It is suggested to introduce the ICF into the rehabilitation system as a tool for coordination and monitoring to improve the effectiveness of rehabilitation programs for children.

Unifying Large- and Small-Scale Theories of Coordination

Coordination is a ubiquitous feature of all living things. It occurs by virtue of informational coupling among component parts and processes and can be quite specific (as when cells in the brain resonate to signals in the environment) or nonspecific (as when simple diffusion creates a source–sink dynamic for gene networks). Existing theoretical models of coordination—from bacteria to brains to social groups—typically focus on systems with very large numbers of elements (N→∞) or systems with only a few elements coupled together (typically N = 2). Though sharing a common inspiration in Nature’s propensity to generate dynamic patterns, both approaches have proceeded largely independent of each other. Ideally, one would like a theory that applies to phenomena observed on all scales. Recent experimental research by Mengsen Zhang and colleagues on intermediate-sized ensembles (in between the few and the many) proves to be the key to uniting large- and small-scale theories of coordination. Disorder–order transitions, multistability, order–order phase transitions, and especially metastability are shown to figure prominently on multiple levels of description, suggestive of a basic Coordination Dynamics that operates on all scales. This unified coordination dynamics turns out to be a marriage of two well-known models of large- and small-scale coordination: the former based on statistical mechanics (Kuramoto) and the latter based on the concepts of Synergetics and nonlinear dynamics (extended Haken–Kelso–Bunz or HKB). We show that models of the many and the few, previously quite unconnected, are thereby unified in a single formulation. The research has led to novel topological methods to handle the higher-dimensional dynamics of coordination in complex systems and has implications not only for understanding coordination but also for the design of (biorhythm inspired) computers.

A comprehensive obstacle analysis framework on dispersed wind power: A case of China

Dispersed wind power is undoubtedly assisting sustainable development of society but hindered by various factors. To promote the development of dispersed wind power, this paper is devoted to obstacles identification and analysis to provide effective development proposals. Firstly, a three-stage process (namely collection, screening and improvement) is developed to extract common obstacles from literature and explore unique obstacles according to the characteristics and development status of dispersed wind power. Then, DANP method is improved to analyze interaction, interrelation and relative importance among filtered obstacles, where Pythagorean fuzzy numbers and K-Means clustering algorithm are introduced to modify incomplete information collection and arbitrary threshold determination, respectively. Three reasonable thresholds are determined according to clustering results, which divide the influence degree among obstacles into four categories (namely, high, moderate, low and no influence). The analysis results indicate that lagged unified planning ranks the first of obstacles, followed by financial difficulty and restricted grid access. On that basis, some practical proposals on regional coordinated development are suggested, including building unified coordination platforms and forming dispersed wind power project group. This paper does not only enrich material database for scholars, but also provide reference and guidance for government and related enterprises.

Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm

Pervasive edge computing refers to one kind of edge computing that merely relies on edge devices with sensing, storage and communication abilities to realize peer-to-peer offloading without centralized management. Due to lack of unified coordination, users always pursue profits by maximizing their own utilities. However, on one hand, users may not make appropriate scheduling decisions based on their local observations. On the other hand, how to guarantee the fairness among different edge devices in the fully decentralized environment is rather challenging. To solve the above issues, we propose a decentrailized computation offloading algorithm with the purpose of minimizing average task completion time in the pervasive edge computing networks. We first derive a Nash equilibrium among devices by stochastic game theories based on the full observations of system states. After that, we design a traffic offloading algorithm based on partial observations by integrating general adversarial imitation learning. Multiple experts can provide demonstrations, so that devices can mimic the behaviors of corresponding experts by minimizing the gaps between the distributions of their observation-action pairs. At last, theoretical and performance results show that our solution has a significant advantage compared with other representative algorithms.

Research on Power System Control Based on Emergency Response

In order to prevent power system disasters and improve power system emergency response capability, the theoretical basis of integration power system disaster prevention and emergency response into social disaster prevention and emergency response was studied. Based on the statistical summary of power system disasters and emergency treatment, the necessity and feasibility of integration power disaster prevention and emergency response into social disaster prevention and emergency response was analyzed. And the mode of integration power disaster prevention and emergency response into social disaster prevention and emergency response was discussed, including weak contact mode, integration mode, unified coordination mode, etc. Then, the path map of integration power disaster prevention and emergency response into social disaster prevention and emergency response was constructed. The research shows that integration of power disaster prevention and emergency response into social disaster prevention and emergency response can realize the prevention and early control of electronic system disasters through data sharing and action coordination, so as to improve the level of power disaster prevention and emergency response.

Sustainable agricultural development: from sectoral to ecosystem approach

The article is devoted to the study of the prospects for using the ecosystem approach in agriculture. The methodology of research is based on the concept of sustainable development, ecosystem theory and platform economy. Research methods and materials deal with economic and statistical analysis of the agricultural industry and related branches of agricultural engineering and the land market in Russia. The main idea of the article is the assumption that in order to ensure sustainable development, it is necessary to integrate the listed industries into a single ecosystem based on the same technological standards and digital platform solutions, with a unified coordination center. The main problem in the organization of the ecosystem in agriculture in Russia is the systemic dependence of the industry on institutional factors, primarily government subsidies and the lack of specific design solutions in the field of its sustainable development. The authors see the development of another high-tech sector in the economy of the Russian Federation as a result of the organization of an ecosystem in agriculture.

Selection of target audiences for events of socio-cultural direction

The purpose of the article. The article is devoted to the characterization of the process of selecting audiences for socio-cultural events. Methodology. The research methodology is based on the application of methods of grouping, modeling and systematization of information. Scientific novelty. The scientific novelty of the work is to clarify the process of selecting audiences for socio-cultural events, in order to study the properties of forming a positive image of Ukraine on the world stage through event management and international cultural cooperation. Conclusions. Ukrainian culture is just beginning to develop actively and now faces many problems, including the lack of unified coordination of various cultural centers, the lack of a unified state strategy. The development of partnerships and cultural networks by cultural institutions is also important, which provides additional opportunities for funding and successful implementation of projects, allows to establish cooperation with cultural centers. Among the positive Ukrainian experience in this context we can name the work of cultural and information centers at diplomatic missions of Ukraine abroad (there are 17 centers), involving representatives of national diasporas, including organizing events to celebrate national events, organizing concerts of folk groups. and representatives of modern pop, art exhibitions, arrange presentations of literary works not only classics but also contemporary Ukrainian authors. However, the study shows that the work of these cultural and information centers is not productive, mainly activities in accordance with the protocol or on the occasion of celebrating anniversaries and more.

Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China

The urban network is an important method of spatial optimization, and measuring the development level of the urban network is a prerequisite for spatial optimization. Combining geographic information system (GIS) spatial analysis, social network analysis, and multidimensional scaling models, we explored the evolution of the urban network spatial structure in the Yangtze River Delta from 1990 to 2017 and proposed corresponding optimization measures. The results showed that the urban network spatial structure of the Yangtze River Delta has evolved from a single-center cluster with Shanghai as its core to a multi-center network with Shanghai as its core and Nanjing, Hangzhou, and Hefei as secondary cores. The density of the urban network has gradually expanded, but the strength of the connection between edge cities such as Chizhou, Suqian, and Quzhou and the core cities needs to be further improved. We found that the evolution of the urban network spatial structure has been driven by preferential attachment, path dependence, and differences in economic and industrial development. Finally, we propose optimizing the urban network spatial structure by strengthening the driving ability of the core cities, clarifying urban functions and development directions, and establishing a unified coordination mechanism. This paper enriches and deepens our understanding of the characteristics of the city network in the Yangtze River Delta, and provides a reference for the optimization of the urban network spatial structure.

Design and Research of Elevator Group Control System Based on PLC

This paper is based on the research of elevator group control system based on PLC, aiming at the phenomenon of elevator in the running process of long time elevator phenomenon, on the basis of improving the utilization of elevator, put forward the overall design structure of elevator group control system, through the communication and control between group control and single elevator, to achieve the unified coordination of elevator scheduling. Considering the riding comfort of passengers, the shortest waiting time of passengers is shortest, and the algorithm of elevator group control scheduling system is analyzed according to the time delay algorithm. At the same time, the elevator control system is analyzed in detail, using PLC to achieve the hardware circuit design, complete the elevator control signal processing, through the inverter control motor operation, to achieve the elevator uplink and downlink. In the design of elevator control software, the overload detection and the delay treatment of the switch door are set up to improve the safety of the elevator, so that the elevator can develop in the direction of intelligent.