The food industry is a branch of the national economy that produces food products. The industry includes enterprises of meat and dairy, oil and fat, fish, flour and cereals, pasta, fruit and vegetable canning, dairy and cream, sugar, tea, confectionery, bakery, grape and champagne wines, alcohol, vodka, tobacco, brewing, thirst-quenching, soap and other industries.

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.

The etiological structure and peculiarities of clinical and epidemiological manifestations of acute intestinal infections in hospitalised children are studied. A retrospective study of the case histories of 2479 children hospitalised with the clinic of acute intestinal infection was carried out. All patients underwent standard laboratory examination, including clinical, biochemical, instrumental diagnostic methods, bacteriological and molecular-biological studies to verify the causative agent. The epidemiological anamnesis of all children was clarified, and the frequency of background and concomitant diseases was studied. The diagnosis of intestinal infection was verified in 925 children (38%). Bacterial intestinal infections were detected in 610 (65 % of the transcripts).

Ushbu maqolada yurak-qon tomir kasalliklarining erkaklar va ayollar o‘rtasida uchrash chastotasi, klinik ko‘rinishlari, tashxis va davolashga bo‘lgan yondashuvlardagi farqlar tahlil qilinadi. Jinsiy farqlarning yurak kasalliklari patogenezi, simptomatika va natijaviy prognozga qanday ta’sir ko‘rsatishi tibbiy-amaliy nuqtai nazardan o‘rganilgan. Tadqiqotlar ayollarda yurak kasalliklarining kechish xususiyatlari ko‘pincha kech tashxislanishiga olib kelishini ko‘rsatmoqda. Shuningdek, maqolada klinik amaliyotda jinsga asoslangan individual yondashuv zarurati asoslab berilgan.

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.