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.

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.

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.

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 raqamli texnologiyalar yordamida talabalarning kreativ tafakkurini rivojlantirish masalasi yoritilgan. Bugungi kunda taʼlim jarayoniga raqamli vositalarning keng joriy etilishi talabalarda mustaqil fikrlash, muammoni tahlil qilish, yangi gʻoyalarni ilgari surish va ijodiy yondashuv kabi ko‘nikmalarni shakllantirishda muhim omil hisoblanadi. Maqolada raqamli taʼlim platformalari, sunʼiy intellekt asosidagi dasturlar, virtual haqiqat va boshqa interaktiv texnologiyalarning kreativ tafakkurga ta’siri tahlil qilinadi. Shuningdek, raqamli texnologiyalardan samarali foydalanish orqali talabalarning innovatsion salohiyatini oshirish imkoniyatlari ko‘rib chiqiladi.