Bu maqolda talabalarning estetik madaniyatini rivojlantirish sifatlari va badiiy madaniyati va talabalarning badiiy-estetik savodxonligini oshirish jarayonida pedagogik muommolar haqida sóz etilgan.

This article explores the critical role of cytokines in the development and progression of autoimmune disorders. Cytokines, as key regulators of the immune system, maintain the balance between immune activation and tolerance. The disruption of this balance, particularly the overproduction of pro-inflammatory cytokines and insufficient anti-inflammatory responses, contributes to chronic inflammation and tissue damage characteristic of autoimmune diseases. The review discusses major cytokine families involved, signaling pathways, and their interactions that lead to immune dysregulation. Additionally, it highlights current therapeutic strategies targeting cytokines and the challenges faced in treatment due to cytokine redundancy and patient variability. Understanding cytokine involvement provides valuable insights into autoimmune pathogenesis and offers potential for more precise and effective therapies.

Ushbu maqolada jahon tarixida muhim ahamiyatga ega bo'lgan, Jahon tamaddunlari ro'yxatidan o'rin olgan, o'ziga xos sivilizatsiya va madaniyatni yarata olgan qadimgi Yunoniston va Rim davlatlarida mavjud bo'lgan ta'lim tizimi haqida so’z boradi.

Ushbu maqola talabalarning fizika fanidan kompetentligini oshirishda interfaol usullardan foydalanish imkoniyatlarini o‘rganadi. Interfaol usullar, xususan, simulyatsiya dasturlari, loyiha asosidagi ta’lim va raqamli texnologiyalar fizika o‘qitishda samaradorlikni oshirish va talabalarning amaliy ko‘nikmalarini rivojlantirishga xizmat qiladi. Maqolada ushbu usullarning afzalliklari, ularni qo‘llash usullari va kelajakdagi istiqbollari tahlil qilinadi. Tadqiqot natijalari interfaol usullarning talabalarning qiziqishini oshirish va bilimlarini chuqurlashtirishda muhim rol o‘ynashini ko‘rsatadi.

Ushbu maqolada sun’iy intellekt (SI) asosida ishlovchi tarmoq xavfsizligi tizimlari – Intrusion Detection System (IDS) va Intrusion Prevention System (IPS) algoritmlarining tarmoq tahdidlarini aniqlashdagi samaradorligi ko‘rib chiqiladi. IDS/IPS tizimlarining an’anaviy metodlardan farqli jihatlari, sun’iy neyron tarmoqlar, mashinaviy o‘rganish (ML), chuqur o‘rganish (DL) va tabiiy tilni qayta ishlash (NLP) kabi SI uslublarini qo‘llash orqali tahdidlarni aniqlash aniqligi va tezligi tahlil qilinadi. Shuningdek, real vaqt rejimida ishlovchi zamonaviy SI-IDS/IPS tizimlarining afzalliklari va cheklovlari tahlil qilinadi.