Minimal invaziv stomatologiya zamonaviy stomatologiyaning asosiy yo‘nalishlaridan biri bo‘lib, davolash jarayonida sog‘lom tish to‘qimalarini maksimal darajada saqlab qolish, kasallikni erta aniqlash va patologik jarayonning rivojlanishini oldini olishga qaratilgan.

Ushbu maqolada oronimlik rivoyatlarning folkloristika ilimida órganilish masalalari sóz etilgan.

Исследование посвящено определению современных требований к преподаванию иностранных языков студентам нерусской аудитории. Рассмотрены коммуникативный, компетентностный, личностно ориентированный и цифровой подходы, а также влияние многоязычной среды на формирование иноязычной коммуникативной компетенции.

This study examines the role of epidemiological analysis and modern preventive approaches in reducing the prevalence and progression of common dental diseases. Particular attention is given to dental caries and periodontal diseases, which remain among the most frequently encountered oral health conditions. The study considers the influence of oral hygiene, dietary habits, irregular dental attendance, socioeconomic factors, and delayed treatment on the development of dental pathology. Epidemiological assessment helps identify high-risk population groups and provides a basis for developing targeted preventive programs. Modern prevention includes regular dental examinations, professional oral hygiene, appropriate fluoride use, dietary counseling, early diagnosis, and individualized risk assessment. The integration of epidemiological monitoring with preventive dental care may contribute to earlier detection of disease, reduction of avoidable complications, and improvement of long-term oral health outcomes.

Menstrual cycle disorders are common reproductive health problems that may develop as a result of endocrine, metabolic, gynecological, and functional abnormalities. Early identification of menstrual disturbances is important for preventing reproductive complications and determining the underlying causes. This study aimed to develop and improve a structured screening algorithm for the early detection of menstrual cycle disorders. The proposed approach included assessment of menstrual history, clinical manifestations, risk factors, endocrine and metabolic status, as well as appropriate laboratory and instrumental investigations. The findings demonstrated that menstrual irregularity was associated with several potential risk factors, including increased body weight, polycystic ovary syndrome-related changes, thyroid dysfunction, hyperprolactinemia, metabolic abnormalities, and psychological stress. A three-stage screening algorithm was developed, consisting of initial clinical assessment, risk-factor stratification, and targeted laboratory and instrumental examination.