Background and Purpose The modern development of football requires the development and implementation of effective methods of controlling the competitive activity of both individual players and football teams. One of such methods is an integrated assessment of the tactics of a football team. The purpose of the research is to determine the indicators of the integrated assessment of the tactics of the leading football teams at the 2025 FIFA Club World Cup based on a systematic approach. Materials and methods The study was conducted during the 2025 FIFA Club World Cup. The competitive activity of the four leading football teams Chelsea (England), PSG (France), Real Madrid (Spain), Flumenense (Brazil) in the semi-final and final matches of this tournament was analysed. The research was carried out on the basis of the following methods: theoretical analysis of literary sources; pedagogical observation; analysis of video materials of competitive activity; methods of mathematical activity. Results The indicators of the integral assessment of game tactics (IATG) of the leading football teams at the 2025 FIFA Club World Cup have been determined. The structure of the IATG consists of 10 specific coefficients, on the basis of which the competitive activity of football teams in the phases of ball recovery and ball possession was characterised. The average value of IATG in the semifinal and final matches was 5.52±0.384 points. The highest value of IATG was registered in the Chelsea team (5.9 points), which won the 2025 FIFA Club World Cup. A significant correlation was observed between variables associated with individual players' tactical coefficients at the p<0.05 and p<0.01 significance levels. Conclusions The integral assessment of the tactics of the football team's game allows to purposefully exercise managerial control in the process of competitive activity, taking into account the main tactical components of the game in the phases of recovery and possession of the ball.
In the article, the author attempts to discuss the protection of personal data in insurance activities. Personal data processing is a process that requires analysis due to the multitude of insurance entities and the varying legal bases. The author interpreted the basic issues regulated by the GDPR and performed a functional analysis in the context of insurance activities.
This review article analyzes three entries in the Dictionary of Political Ethics. Essays are devoted to the following topics: justice, good, and the person and the social unit. A brief discussion of the characteristics and their evaluation, as well as supplements, is provided. The supplements concern social justice, the common good, and relational conceptions of the person, including the ethics of protecting persons. Subsequent chapters with the same title as the aforementioned topics are devoted to these issues. The article is written from the perspective of classical philosophy. Attention is drawn to the origins of social justice and the concept of general justice, a distinction is made between the common good (of all humanity) and the good of individual communities, and attention is drawn to the modern contributions and contributions of modern philosophers to the development of a philosophy of the person as an alternative to traditional philosophical anthropology. The ethics of protecting persons not only assumes a personalist foundation for ethics but also formulates moral recommendations that protect and build interpersonal relationships, which are being replaced by economic relationships and mutual interest.
We present a comprehensive evaluation of pretrained speech embedding systems for the detection of dysarthric speech using existing accessible data. Dysarthric speech datasets are often small and can suffer from recording biases as well as data imbalance. To address these we selected a range of datasets covering related conditions and adopt the use of several cross-validations runs to estimate the chance level. To certify that results are above chance, we compare the distribution of scores across these runs against the distribution of scores of a carefully crafted null hypothesis. In this manner, we evaluate 17 publicly available speech embedding systems across 6 different datasets, reporting the cross-validation performance on each. We also report cross-dataset results derived when training with one particular dataset and testing with another. We observed that within-dataset results vary considerably depending on the dataset, regardless of the embedding used, raising questions about which datasets should be used for benchmarking. We found that cross-dataset accuracy is, as expected, lower than within-dataset, highlighting challenges in the generalization of the systems. These findings have important implications for the clinical validity of systems trained and tested on the same dataset.
Introduction: Axenfeld-Rieger syndrome (ARS) is a rare congenital disorder characterized by anterior segment dysgenesis and diverse systemic anomalies. Mutations in genes such as PITX2 and FOXC1 are most commonly implicated in its pathogenesis. The condition significantly affects vision, primarily due to structural disruption of the visual axis and the high incidence of secondary glaucoma. Aim of the study: The purpose of this study is to provide an updated overview of Axenfeld-Rieger syndrome, with emphasis on its historical background, genetic mechanisms, clinical manifestations, and current therapeutic strategies. Research materials and methods: A systematic review of scientific and medical literature was conducted using PubMed and Google Scholar databases. Conclusions: Genetic testing and comprehensive clinical evaluation are crucial for accurate diagnosis and optimal management of ARS. Due to its multisystem nature, care should be coordinated within a multidisciplinary framework. Early recognition of glaucoma and other systemic manifestations is essential to improve long-term outcomes.
