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.

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.

Bul maqalada sóylew mádeniyatın jetilistiriw usılları, jaslar turmısındaǵı áhmiyeti sóz etilgen. Sonday-aq stilistika tarawı, túrleri, til bilimindegi ornı haqqında da maǵlıwmat berilgen.

This study provides a comprehensive analysis of nanotechnology-based medical implants, emphasizing their transformative impact on modern biomedical engineering and clinical practice. The integration of nanomaterials and nanoscale surface modifications into implant design has demonstrated significant improvements in biocompatibility, mechanical strength, and functional longevity, thereby enhancing patient outcomes and reducing postoperative complications. The research systematically reviews current advancements in nanocoatings, nanoscale drug delivery mechanisms, and biomimetic surface engineering, which collectively contribute to enhanced osseointegration and antimicrobial properties. Furthermore, the study critically addresses existing challenges, including biotoxicity risks, fabrication scalability, and regulatory hurdles that impede widespread clinical adoption. By elucidating the interdisciplinary approaches underpinning the development of nanotechnology-enabled implants, this work highlights the potential to revolutionize therapeutic strategies and implantable device performance.

The automatization of the heart is its fundamental ability to independently generate electrical impulses that initiate heart contractions, without external stimulation from the nervous system. This review is devoted to a comprehensive review of this phenomenon. The main driver of the rhythm is normally the sinoatrial (CA) node, whose cells have unique electrophysiological properties, in particular, the ability to slow spontaneous diastolic depolarization (phase 4 of the action potential). This process is based on the complex dynamics of ion currents, including the "funny" current (If), calcium currents (ICa,T, ICa,L) and potassium currents (IK). The review examines in detail the ionic mechanisms of pacemaker activity, the hierarchy of pacemakers (CA node, atrioventricular node, Gis-Purkinje system) and the phenomenon of suppression of the underlying centers of automatism (overdrive suppression). The mechanisms of regulation of heart rate by the autonomic nervous system (sympathetic and parasympathetic), humoral factors (adrenaline, thyroid hormones) and other influences (temperature, ion balance, hypoxia) are highlighted. The clinical significance of automation is discussed, including pathological conditions such as CA node dysfunction (sinus node weakness syndrome), ectopic foci of automatism, atrial and ventricular arrhythmias associated with abnormal automation, as well as approaches to their diagnosis (ECG) and treatment (antiarrhythmic drugs, artificial pacemakers). In conclusion, modern research directions in this field are considered, including the study of the genetic basis of automatism disorders and the development of biological rhythm drivers.