The main purpose of this paper is to assess energy consumption with a breakdown into main sectors of the countries that belong to the Visegrad Group. The specific objectives aim to determine changes in energy absorption, its productivity, structure by sectors and to show the similarities of the Visegrad Group countries to the other EU states in terms of the sectoral energy absorption structure. All members of the Visegrad group, i.e., Poland, Hungary, Slovakia and the Czech Republic, were purposefully selected for the study as of 31 December 2018. The research period covered the years 1990–2018. The sources of gathered information were the literature on the subject and OECD data. The following methods were used for the analysis and presentation of materials: explanations, tabular and graphical depictions, descriptive statistics, dynamics indicators, and cluster analysis performed with the following methods: k-means, hierarchical agglomerative clusters and DIvisive ANAlysis (DIANA). There is a limited number of previous studies on the relationship between the national level of economic development and energy consumption in different sectors of industry. Additionally, there are no such analytical projects concerning EU states. The article fills the research gap in this area. It was established that the dynamics of productivity growth over the nine years (2010–2018) was similar in the countries of the Visegrad group and on average for the EU. This means that the members of the Visegrad group did not actually improve their energy efficiency as compared to the EU average. The reason may be the increasingly faster implementation of modern technologies in developed economies of Western Europe as compared to the developing countries, which include the members of the Visegrad group. The conversion of the economy had a very large impact on changing the structure of energy absorption by sector. Industry and agriculture lost their importance. On the other hand, the transport and service sectors benefited. As a result of the cluster analysis, all EU (European Union) states were divided into four groups. Poland, the Czech Republic, and Hungary found themselves in one group, along with most Western European countries. This may mean that the economies of these states have become unified with highly developed economic systems. Slovakia found itself in the group of states with a greater importance of industry. The study complements the contribution to the theory. From a practical point of view, it shows the impact of economic transformation on changes in energy consumption in individual sectors, which may be a model of transition in this area.

Financial literacy plays a crucial role in individuals’ decision-making processes. The paper aims to thoroughly identify the financial literacy needs and challenges of adults with low financial literacy living in rural areas. The paper presents the results of a focus group study conducted among a target group (35 people) and interviews with financial experts (14 people) in the first quarter of 2023. The study allows us to identify common areas of financial knowledge crucial for adults with low financial literacy living in rural areas. The study was conducted in seven European countries as part of the Erasmus+ project “Learning by Experiencing Escape Rooms: Financial Literacy for Adults (FLER)”. Key findings from the study revealed that participants exhibited low awareness of financial fraud and expressed a need to protect personal information when using digital platforms. There was a clear demand for improved knowledge in certain areas, such as budgeting, emergency funds, balancing risk and reward, and planning for retirement or long-term savings. Participants consistently viewed gamification as a valuable tool for enhancing their understanding of financial topics. The contribution of our study is that we narrow the research gap on the needs and challenges related to financial literacy among rural residents. The results will help pinpoint specific areas of financial knowledge and competencies that are particularly important for adults with low financial literacy. Moreover, these insights are crucial for developing educational content integrated into a virtual escape room to improve financial literacy through engaging, scenario-based learning.

The purpose of this paper is to introduce a new structure called primal. Primal is the dual structure of grill. Like ideal, the dual of filter, this new structure also generates a new topology named primal topology. We introduce a new operator using primal, which satisfies Kuratowski closure axioms. Mainly, we prove that primal topology is finer than the topology of a primal topological space. Also, we provide the structure of the base of primal topology and prove other fundamental results related to this new structure. Furthermore, we not only discuss some of this new structure’s properties but also enrich it with many examples.

Photos taken in unconstrained tourist environments often present challenges for accurate 3D scene reconstruction due to variable appearances and transient occlusions, which can introduce artifacts in novel view synthesis. Recently, in-the-wild 3D scene reconstruction has been achieved realistic rendering with Neural Radiance Fields (NeRFs). With the advancement of 3D Gaussian Splatting (3DGS), some methods also attempt to reconstruct 3D scenes from unconstrained photo collections and achieve real-time rendering. However, the rapid convergence of 3DGS is misaligned with the slower convergence of neural network-based appearance encoder and transient mask predictor, hindering the reconstruction efficiency. To address this, we propose a novel sky-aware framework for scene reconstruction from unconstrained photo collection using 3DGS. Firstly, we observe that the learnable per-image transient mask predictor in previous work is unnecessary. By introducing a simple yet efficient greedy supervision strategy, we directly utilize the pseudo mask generated by a pretrained semantic segmentation network as the transient mask, thereby achieving more efficient and higher quality in-the-wild 3D scene reconstruction. Secondly, we find that separately estimating appearance embeddings for the sky and building significantly improves reconstruction efficiency and accuracy. We analyze the underlying reasons and introduce a neural sky module to generate diverse skies from latent sky embeddings extract from unconstrained images. Finally, we propose a mutual distillation learning strategy to constrain sky and building appearance embeddings within the same latent space, further enhancing reconstruction efficiency and quality. Extensive experiments on multiple datasets demonstrate that the proposed framework outperforms existing methods in novel view and appearance synthesis, offering superior rendering quality with faster convergence and rendering speed.

The aim of this research was to present the changes in biomass production, especially pellets in Poland, in the context of world’s and European Union’s (EU) climate and energy policy, compared to other renewable energy sources. We also analyzed the law concerning the biomass production in the EU. Finally, we have elaborated the prognosis of the pellet production on the world scale. We have used different methods to achieve the goals, among which the most important are the Generalized Autoregressive Conditional Heteroscedasticity (GARCH model) and prognosis. We also compared the results of pellet production in different countries in the European Union. The results were presented in tabular and graphic form. We have received the data from Eurostat and the Main Statistical Office (MSO) in Poland. Our research proves the increase of biomass and pellet production on the global scale. Moreover, global wood pellet production increased by 972% in the years 2005–2018. We can conclude that this increase was the result of increasing demand for renewable energy sources. The first research hypothesis assumed that the changes in the European Union Policy have impacted the increase of biomass production in the world. Our prognosis confirmed the second hypothesis that the development of pellets will increase as the result of increasing global demand. The use of more renewable energy sources is necessary to decrease the degradation of the environment.

The main purpose of this paper is to present the differences in the volume of energy consumption in transport in the EU (European Union) countries. The specific objectives aim to determine the directions of changes and the degree of concentration in the volume of energy utilized by the transport sector in EU states, showing various models in this area, to establish the association between energy absorption and the parameters of the economy and in the field of transport. All EU countries were selected for research by the use of the purposeful selection method as of 31 December 2018. The analyzed period covered the years 2004–2018. For the examination of data, grading data analysis was used as one of the methods of multivariate data analysis. Descriptive, tabular and graphic methods were used to present the results. Findings reveal that there is a general tendency to reduce total energy consumption in the EU countries. The same is the case of energy in transport. Only in 2016–2018 was there an increase in energy absorption in transport. The reason was the better economic situation in this period. Road conveyance is the most important factor in energy utilization (over 90%). The share of other modes of transport was very small. Economically developing countries were the fastest in increasing energy absorption in transport per capita. In turn, highly developed states recorded slight growth and were stable in this aspect. There was a close relationship between energy utilization in transport per capita and GDP per capita. The reduction of energy consumption in transport depends on changes in road haulage, e.g., the pace of introducing innovative energy-saving technologies in automotive transport.