This article presents a comparative analysis and characteristics of the pension insurance systems of foreign countries, namely Germany, Sweden, Estonia, Poland, France with the aim of implementing their effective and noteworthy experience in Ukraine. The key indicators of the characteristics of the pension systems of these countries and Ukraine (amount of insurance contributions to the public pension fund; retirement age; insurance period; the ratio of the average pension to the average wage) have been studied and analyzed. Having examined these indicators, the authors came to the conclusion that the general trend in most countries of the world is that they guarantee only a minimum pension, which is caused by the increase in the share of pensioners in society. To solve the demographic problems affecting pension provision, the most countries increase the retirement age and provide financial incentives to stimulate citizens to work after the retirement age. To increase the pension, there are pension accumulation tools at the expense of the employer or at the expense of one’s own funds. Following the example of foreign countries, the directions for improving the pension insurance system of Ukraine were allocated.
Background: In an increasingly globalized world, public health is a challenge in the future of health systems. Nursing is a fundamental profession in health systems and the purpose of the study is to quantify the scientific production in global public health carried out by nursing to demonstrate its competence, capacity and specialization in this subject. Methods: A bibliometric study was carried out to understand the scientific production of public health nursing in WoS. A total of 17,545 documents were analyzed using Bibliometrix software in version 4.0.5. Results: A notable increase in production is observed over time, a sign of specialization and capacity. The theme focuses on three stages: hygiene and sanitation, infectious diseases and quality, prevention and non-communicable diseases coinciding with the real social needs of each moment. Most of the production is in English and produced by countries with developed economies. Nursing is aligned with current public health needs. Conclusions: Bibliometrics is a good method to quantify scientific production. The results show extensive scientific production in public health nursing, which translates into extensive knowledge of public health by nursing. There is a growth in production in accordance with time as well as an adaptation to the most current themes in accordance with population needs. Public health is an area of concern to countries and nursing can actively participate in studies, planning and leadership of health systems. Public health nursing should not be considered relegated to medicine but independent and of crucial importance to the “Onehealth” concept. Public, private and educational administrations must promote and support nursing research in public health, and it is not advisable to reduce the teaching load of global public health in nursing studies, in favor of the family and community environment.
In the dynamic landscape of modern education, it is essential to understand and recognize the psychological habits that underpin students’ learning processes. These habits play a crucial role in shaping students’ learning outcomes, motivation, and overall educational experiences. This paper shifts the focus towards a more nuanced exploration of these psychological habits in learning, particularly among secondary school students. We propose an innovative assessment model that integrates multimodal data analysis with the quality function deployment theory and the subjective-objective assignment method. This model employs the G-1-entropy value method for an objective evaluation of students’ psychological learning habits. The G-1-entropy method stands out for its comprehensive, objective, and practical approach, offering valuable insights into students’ learning behaviors. By applying this method to assess the psychological aspects of learning, this study contributes to educational research and informs educational reforms. It provides a robust framework for understanding students’ learning habits, thereby aiding in the development of targeted educational strategies. The findings of this study offer strategic directions for educational management, teacher training, and curriculum development. This research not only advances theoretical knowledge in the field of educational psychology but also has practical implications for enhancing the quality of education. It serves as a scientific foundation for educators, administrators, and policymakers in shaping effective educational practices.
Students from different cultures possess varying levels of skills in learning, remembering, and understanding concepts. Some terms and their explanations may seem easy for one group of students but difficult for another. Therefore, delivering educational content that aligns with student’s learning capabilities is a challenging task based on cultural orientations. This study addresses the learning challenges by developing a Thesaurus Glossary E-learning (TGE) framework method. This study introduces the TGE method which is a multi-language tool with visual associations that adapts to students’ capabilities. It also examines cultural differences and native languages, particularly aiding Arab Native to visualize appropriate terms (thesaurus) and their explanations (glossary) based on students’ learning capabilities. TGE learns from students’ term selection behavior and displays terms at a simple or advanced level that matches their learning ability. Additionally, TGE demonstrated its effectiveness as an e-learning tool, accessible to all students anytime and anywhere. The study analyzed 314 records related to student performance, out of which 114 students were surveyed to evaluate the effectiveness of the TGE method. This work presents TGE as a novel e-learning tool designed to enhance conceptual thinking within the context of modern educational practices during the digital transformation. TGE is based on artificial intelligence algorithms and associative rules that simulate the human brain, establishing logical connections between related key terms and sketching associations among diverse facets of a situation. An experiment was conducted at a private university in the Sultanate of Oman to assess the effectiveness of the proposed TGE tool. TGE was integrated with selected subjects in information systems and used by the students as a resource for e-learning methods and materials. The results show that 85% of students who used TGE improved their performance by 19%. We believe this work could establish a new smart e-learning teaching method and attract modern and digital universities to enhance student learning outcomes linked with conceptual thinking.
The scientific objective of this study is to demonstrate how a hybrid photovoltaic-grid-generator microsystem responds under transient regime to varying loads and grid disconnection/reconnection. The object of the research was realized by acquiring the electrical magnitudes from the three PV systems (25 kW, 40 kW, and 60 kW) connected to the grid and the consumer (on-grid), during the technological process where the load fluctuated uncontrollably. Similar recordings were also made for the transient regime caused by the grid disconnection, diesel generator activation (450 kVA), its synchronization with PV systems, power supply to receivers, and grid voltage restoration after diesel generator shutdown. Analysis of the data focused on power supply continuity, voltage stability, and frequency variations. Findings indicated that on-grid photovoltaic systems had a 7.9% maximum voltage deviation from the standard value (230 V) and a frequency variation within ±1%. In the transient period caused by the grid disconnection and reconnection, a brief period with supply interruption was noted. This study contributes to the understanding of hybrid system behavior during transient regimes.
Cities play a key role in achieving the climate-neutral supply of heating and cooling. This paper compares the policy frameworks as well as practical implementation of smart heating and cooling in six cities: Munich, Dresden and Bad Nauheim in Germany; and Jinan, Chengdu and Haiyan in China, to explore strategies to enhance policy support, financial mechanisms, and consumer engagement, ultimately aiming to facilitate the transition to climate-neutral heating and cooling systems. The study is divided into three parts: (i) an examination of smart heating and cooling policy frameworks in Germany and China over the past few years; (ii) an analysis of heating and cooling strategies in the six case study cities within the context of smart energy systems; and (iii) an exploration of the practical solutions adopted by these cities as part of their smart energy transition initiatives. The findings reveal differences between the two countries in the strategies and regulations adopted by municipal governments as well as variations within each country. The policy frameworks and priorities set by city governments can greatly influence the development and implementation of smart heating and cooling systems. The study found that all six cities are actively engaged in pioneering innovative heating and cooling projects which utilise diverse energy sources such as geothermal, biomass, solar, waste heat and nuclear energy. Even the smaller cities were seen to be making considerable progress in the adoption of smart solutions.
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