The development of primary open-angle glaucoma (POAG) is currently considered to be a chain of interaction between etiological and pathogenetic factors, among which the leading role is played by genetic predisposition, general changes, ischemia, primary local functional and dystrophic changes, disturbances in hydrostatics and hydrodynamics of the eye, increased intraocular pressure, vascular disorders, dystrophy and tissue degeneration. Purpose. The purpose of this study is to study the factors of endothelial dysfunction leading to a decrease in ocular hemoperfusion in patients with primary open-angle glaucoma. Methods. The study included 92 patients with POAG, aged 65 to 80 years. The level of lipid peroxidation and AOS, the lipid composition of the blood and the indicators of the complement system were studied before and after treatment. Conclusion. The study of indicators of oxidative stress and antioxidant status of blood serum according to the corresponding levels (high, medium and low) makes it possible to determine the risk of disease progression and evaluate the effectiveness of treatment in patients with POAG.

Translation studies have evolved significantly in higher education, with methodologies that bridge theoretical foundations and practical applications. This article explores the dominant teaching methodologies in translation programs, emphasizing their importance in developing competent and versatile translators. These methods include task-based learning, translation workshops, contrastive analysis, project-based learning, technology integration, genre-specific training, and the use of corpus linguistics. By examining each approach, the article sheds light on how institutions prepare students for the complexities of translation in professional contexts.

This article talks about the interaction of languages and the laws of their development, history.

This study is aimed at studying the relationship between psychological adaptation and family integration. The study reveals the level of psychological adaptation of family members and its impact on family integration.

The article reviews current trends in multi-word lexeme processing in computational linguistics, emphasizing the importance of effective natural language analysis. Key areas include: Deep learning: Using neural networks to automatically extract features from texts and work with large amounts of data. Semantic models: Using word vector representations to improve the accuracy of analysis and understand semantic relationships. Multilingual systems: Developing technologies that provide high-quality analysis and translation of texts in different languages. Big data processing: Creating methods for fast and efficient processing of arrays of text information. Integration with other areas: Combining computational linguistics technologies with image and sound processing for complex analysis. The article also highlights the contributions of renowned researchers such as Noam Chomsky and Karen Spark Johnson to the development of this field. Particular attention is paid to the benefits of multi-word lexeme processing for Turkic languages, including taking into account morphological complexity, resolving ambiguities, and improving the quality of machine translation. The work emphasizes the importance of this area for the development of language technologies and communication in the Turkic language community.