Mazkur maqolada jamiyatda huquqiy ong va huquqiy madaniyatni shakllantirish va rivojlantirishning dolzarb masalalari yoritilgan. Huquqiy ong fuqarolarning qonunlarga bo’lgan munosabati, ularning huquq va majburiyatlari to‘g‘risidagi bilimlari va huquqiy xulq-atvorining shakllanishida asosiy o‘rin tutadi. Huquqiy madaniyat esa insonlarning huquqiy tushunchalari, qonunlarga hurmat ruhidagi tarbiyasi, davlat va jamiyat hayotidagi faol ishtirokini ifodalaydi. Maqolada jamiyatda huquqiy ong va madaniyatni oshirish vositalari, davlat siyosati, ta’lim tizimi, OAV va fuqarolik jamiyati institutlarining roli tahlil etilgan. Shuningdek, O‘zbekistonda olib borilayotgan islohotlar kontekstida mazkur jarayonning rivojlanish istiqbollari yoritiladi.

Ushbu maqolada O‘zbekiston transport tarmoqlari bilan bog‘liq holda motel va kichik mehmonxonalarning yangi dizayn tendensiyalari tahlil qilinadi. Tadqiqot davomida transport infratuzilmasi, ekologik innovatsiyalar va milliy arxitektura elementlari asosida yangi loyihalarning istiqbollari o‘rganildi.

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).

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 zamonaviy axborot-kommunikatsiya texnologiyalari rivojlanishi bilan yuzaga kelayotgan yangi avlod raqamli jinoyatlari va ularning inson huquqlariga salbiy ta’siri tahlil qilinadi. Ayniqsa, xorijiy mamlakatlarda kuzatilayotgan kiberzo’ravonlik, sun’iy intellektdan noto‘g‘ri foydalanish, deepfake texnologiyalari orqali sha’ni va qadr-qimmatga tajovuz, onlayn zo‘ravonlik (cyberbullying), va raqamli kuzatuv orqali shaxsiy hayot daxlsizligiga tajovuz holatlari alohida ko‘rib chiqiladi. Shuningdek, O‘zbekiston qonunchiligida mavjud bo‘shliqlar tahlil qilinib, yangi turdagi raqamli jinoyatlarga qarshi huquqiy mexanizmlarni ishlab chiqish zarurati asoslab beriladi.