This scientific work explores the clinical features, causes, and contemporary treatment strategies for tension-type headache in children, one of the most prevalent and often underdiagnosed neurological conditions in the pediatric population. The study highlights the multifactorial origin of tension-type headache, emphasizing psychological stress, musculoskeletal strain, and lifestyle imbalances as central contributing factors. Special attention is given to the importance of early diagnosis based on clinical evaluation, patient history, and the use of structured assessment tools designed for children. The research reviews both pharmacological and non-pharmacological treatment approaches, with a focus on behavioral therapy, cognitive-behavioral interventions, physical therapy, and biofeedback techniques. Preventive strategies such as stress management, sleep hygiene, physical activity, and nutritional regulation are also discussed as key elements in reducing the frequency and severity of headache episodes. Furthermore, the work highlights the psychosocial impact of chronic headache on children’s academic performance, emotional health, and social development.

This paper focuses on the selection and justification of deep learning models for emotion classification tasks. It provides a comprehensive analysis of various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memory networks, and Transformer models, assessing their performance in recognizing and classifying human emotions from multimodal data sources. The study examines the strengths and limitations of each model with respect to data type, training efficiency, computational complexity, and generalization capabilities. Furthermore, criteria for optimal model selection tailored to real-world emotion recognition applications are discussed. The findings contribute to enhancing the accuracy and robustness of emotion classification systems and offer valuable guidelines for researchers and practitioners developing advanced affective computing solutions.

Освоение методики преподавания русского языка как иностранного становится важным условием и неотъемлемой частью подготовки студентов высших педагогических учреждений Узбекистана к будущей профессиональной деятельности. Цель статьи - подробно описать лингвистические и речевые аспекты обучения устному и письменному общению на русском языке как иностранном, как новом языке.

Mazkur maqolada ta’lim muassasalarini boshqarish jarayonida innovatsion texnologiyalardan foydalanishning nazariy asoslari va amaliy jihatlari yoritilgan. Bugungi kunda ta’lim tizimida raqobatbardoshlikni ta’minlash, samaradorlikni oshirish va strategik maqsadlarga erishishda zamonaviy texnologiyalar muhim vosita sifatida qaralmoqda. Maqolada boshqaruv faoliyatiga raqamli platformalar, sun’iy intellekt asosidagi tizimlar, elektron hujjat aylanishi, masofaviy monitoring va tahlil dasturlarini joriy etishning afzalliklari tahlil qilinadi. Shuningdek, xorijiy tajribalar asosida milliy sharoitga mos innovatsion boshqaruv modellarini yaratish imkoniyatlari o‘rganiladi. Tadqiqot asosida innovatsion texnologiyalarni ta’lim menejmentiga integratsiya qilish orqali samarali, shaffof va tezkor boshqaruv tizimini shakllantirish bo‘yicha tavsiyalar ishlab chiqilgan.

Ushbu maqolada hind xalqi og‘zaki va yozma adabiyoti javohirlaridan biri bo‘lmish “Kalila va Dimna” turkiy qo‘lyozmalarining o‘ziga xos bo‘lgan jihatlari va uning mazmuniy qurilishi tаdqiq etilgаn.