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.

Ushbu maqolada inson tanasining eng katta organi — terining gistologik tuzilishi, uning asosiy qatlamlari (epidermis, dermis, gipodermis) va har bir qatlamning morfologik hamda funksional xususiyatlari ilmiy asosda tahlil qilinadi. Ayniqsa, terining himoya funksiyasi: fizik, mikrobiologik, immunologik va mexanik jihatlari chuqur yoritilgan. Maqola teri tuzilmasining mikroskopik ko‘rinishlari, ularning hujayraviy tarkibi va zamonaviy ilmiy yondashuvlar asosida o‘rganiladi. Mazkur tadqiqot gistologiya fani doirasida terining ko‘p funksiyali va ixtisoslashgan tuzilma ekanini ochib beradi hamda klinik amaliyotda uni to‘g‘ri baholash zarurligini ko‘rsatadi.

The relationship between a speaker’s native language (L1) and their pronunciation in a second language (L2) has long been recognized as a critical area of study within second language acquisition. Pronunciation is not merely about producing sounds correctly; it encompasses various phonological elements such as stress, rhythm, intonation, and syllable structure — all of which are deeply shaped by the learner's first language. This paper aims to explore the extent to which L1 interferes with or supports the acquisition of accurate L2 pronunciation. It investigates both segmental (individual sounds) and suprasegmental (prosodic features) aspects of speech, presenting evidence from various language groups to illustrate common patterns of transfer. Moreover, the study discusses how phonological habits from the native language often lead to a foreign accent and reduced intelligibility in the second language, even among otherwise proficient speakers. Emphasis is placed on practical strategies and pedagogical approaches that can be used to address L1-induced difficulties, such as contrastive analysis, phonetic training, and the use of technological tools for self-monitoring and feedback. The paper concludes that although native language influence is a natural and often unavoidable aspect of second language learning, its impact on pronunciation can be significantly minimized through targeted instruction and increased learner awareness.

This article focuses on enhancing mathematics education in academic lyceums through the application of interactive methods. It discusses the role of modern educational technologies, active learning strategies, and project-based learning in mathematics education. Additionally, the effectiveness of interactive methods in increasing student engagement, fostering critical thinking, and developing problem-solving skills is analyzed. The article serves as a valuable resource for teachers, education specialists, and academic lyceum administrators.

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.