Ushbu maqolada lotin tilining zamonaviy ta’lim tizimidagi ahamiyati, uning tarixiy shakllanishi, ilmiy terminologiyadagi o‘rni, analitik fikrlashni rivojlantirishdagi roli va multidisiplinar integratsiya imkoniyatlari ilmiy asosda tahlil qilinadi. Lotin tilini o‘qitishning zamonaviy metodlari, mavjud muammolar va ularni bartaraf etish bo‘yicha takliflar yoritilgan.

This article provides an extensive analysis of the semantic characteristics of English idiomatic phraseological units, focusing specifically on verbal idioms and their unique patterns of variation. Idioms constitute an essential part of the English lexicon, representing culturally conditioned, semantically complex units whose meanings cannot be deduced from the meanings of their individual components. This study explores the semantic integrity, metaphorical motivation, cognitive underpinnings, grammatical adaptability, and lexical-structural variability of verbal idioms. Drawing from cognitive linguistics, phraseology theory, discourse studies, and corpus-based examples, this paper demonstrates how verbal idioms form a dynamic subsystem within English phraseology, capable of expressing actions, states, emotions, and social interactions through metaphorical and culturally embedded structures. Additionally, challenges of interpretation and cross-linguistic translation are analyzed. Results suggest that verbal idioms perform significant semantic, stylistic, and pragmatic functions in modern communication and require a multilayered linguistic approach for accurate understanding.

Maqolada og‘zaki nutqda paremiologik birliklarning funksional vazifalari, ularning lingvopragmatik, madaniy va kommunikativ xususiyatlari tahlil qilinadi.

Ushbu maqolada ijtimoiy tarmoqlarning zamonaviy jamiyat hayotidagi o‘rni, shaxs axloqiy qadriyatlariga ko‘rsatgan ta’siri, an’anaviy me’yorlarning transformatsiyasi hamda yoshlar ongida yuz berayotgan ijtimoiy-psixologik o‘zgarishlar ilmiy tahlil qilinadi. Muallif ijtimoiy tarmoqlarni axloqiy qadriyatlarning shakllanishidagi asosiy omillardan biri sifatida baholaydi.

Raqamli xavfsizlikning keskin o‘sib borayotgan muammolari orasida fishing va zararli dasturlar (malware)ni erta aniqlash masalasi alohida ahamiyatga ega. Ushbu maqolada sun’iy intellekt (SI) va ayniqsa, chuqur o‘rganishga asoslangan neyron tarmoqlar yordamida fishing xabarlarini, zararli fayllarni va tarmoq trafikidagi shubhali faoliyatni aniqlash usullari tahlil qilinadi. Tadqiqotda konvolyutsion (CNN) va rekurrent (RNN, LSTM) tarmoqlarni qo‘llash samaradorligi o‘rganildi. Natijalar shuni ko‘rsatadiki, neyron tarmoqlar yordamida erta aniqlash aniqligi 95% dan yuqori bo‘lishi mumkin.