The estimation of sectoral contribution to regional divergence in Poland and Ukraine

The war conflict in the East Ukraine impacts the geopolitical security and stability of Europe and other countries of the world. So, there are the global effects of the war conflict in Ukraine. And the instability in Ukraine has its social consequences that influences the European development. The aim of the article is to identify and elaborate social effects of the war conflict in Ukraine and to get understanding of its influence on European stability, on position of Ukraine on European arena. The article has been prepared by using such methods as: analysis of Ukrainian and European research papers, comparison and generalization of the facts about war conflict in Ukraine. In the article social consequences of the war conflict in Ukraine, such as migration, unemployment, crime growth, decreasing of population and others have been studied. It has been described that social dimension of the war conflict in Ukraine has its influence on European stability and geopolitical situation, especially Ukrainian migration. At the end of the article the authors present the conclusions and the mechanism for solving the war conflict situation in Ukraine. Also, Ukraine needs an integrated approach in order to solve all economic and social problems in the country. Only integrated approach will allow to use available Ukrainian resources and advanced European experience to provide economic and social stability of the country.

Talents play a critical role in achieving organizational strategic goals and a higher level of performance in the healthcare industry. Therefore, the UAE government, which strives to provide world-class healthcare services, encouraged the adoption of talent management strategies and creation of essential capabilities for talent recruitment, development, and retaining. This study explores the talent management strategies, policies, and practices in multiple departments of a public UAE hospital. Moreover, it investigates required skills, competencies, and programs for those departments in the context of Industry 4.0. The study adopted a case study approach and qualitatively surveyed a purposive sample of 13 departmental managers, section heads, and supervisors who are experienced in employee management. The study found that talent management at the studied hospital is undefined and unclear in terms of strategies, policies, and practices. Furthermore, the study highlighted the need for employee encouragement, motivation, and engagement, as well as confirmed the critical role of management and leadership in facilitating talent management in the hospital. Accordingly, a UAE hospital could benefit from this study to develop its talent management policy and strategies that will guide managers in the Industry 4.0 era.

Acknowledgment
The nursing administration, nursing research committee at Tawam hospital and managers who responded to the study survey are acknowledged for the extension of support for the study.

The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.