The process of determining aggression in a person is very complex, and it has been studied by social psychologists for a long time. Some social psychologists define aggression as the intentional harm to another person, causing physical or social damage, and in some cases, destroying the object of aggression. In our opinion, this definition is correct, but we must take into account some limitations in the further development of our research. For example, if you ask a question to one of your family members and he does not answer you or refuses to answer, we do not see in this action an attack on someone's life or harm. In the same way, your neighbor sitting on the threshold disturbs you, but cannot harm you.

Bugungi kunda sog‘liqni saqlash tizimi doimiy monitoring va aniq tashxisga muhtoj. Ayniqsa yurak urishi, nafas olish va qand miqdori kabi hayotiy ko‘rsatkichlarni real vaqtli tahlil qilish orqali kasalliklar erta bosqichda aniqlanishi mumkin. Ushbu maqola kognitiv texnologiyalar, sun’iy intellekt va real vaqtli monitoring usullarini birlashtirib, tibbiy ma’lumotlarga asoslangan ogohlantirish tizimini yaratishga bag‘ishlangan. Taklif etilayotgan model LSTM (Long Short-Term Memory) neyron tarmog‘i asosida yurak, nafas va glyukoza darajasini tahlil qiladi va anomaliyani avtomatik tarzda aniqlaydi. Bunda signal filtrlash, ketma-ketlikni bashorat qilish va individual sog‘liq profili orqali shaxsiy qaror qabul qiluvchi tizimlar ishlab chiqiladi. Tajribada real hayotga yaqinlashtirilgan sun’iy datasetlar asosida tahlillar o‘tkazilib, aniqlik, faollik va ogohlantirish tizimining ishonchliligi baholandi. Natijalar ushbu texnologiya yordamida sog‘liqni kuzatishda yuksak samaradorlikka erishish mumkinligini ko‘rsatdi. Modelga mobil ilova yoki web interfeys integratsiyasi orqali foydalanuvchi sog‘lig‘ini 24/7 nazorat ostida ushlab turish imkoniyati yaratish rejalashtirilgan. Maqolada kardiologik signallarga raqamli ishlov berishning kognitiv modeli va dasturiy majmuasini ishlab chiqish bo‘yicha kognitiv yondashuvlarni ishlab chiqish va u asosida model, algoritm, diagramma, dasturiy komponentlar va amaliy tahlillar taqdim etilgan. Yurakning EEG signallari asosida aritmiya kasalligini aniqlash uchun kognitiv parametrlar (yosh, jins, kasb, jismoniy faollik va anamnez) bilan birga yurakning muhim 8 ta xususiyati o‘rganildi. EKG signallarining asosiy intervallari (RR, PR, QRS, QT) va yurak ritmidagi o‘zgarishlar HRV, ST segment, T va P to‘lqinlar orqali o‘rganildi. Ma’lumotlar Random Forest klassifikatori yordamida tahlil qilindi.

Ushbu maqolada bolalar orasida keng tarqalgan, benign (yengil) kechuvchi epilepsiya turi – Rolandik epilepsiyaning (BECTS) klinik belgilari, elektroensefalografik xususiyatlari va davolash yondashuvlari yoritilgan. Maqolada mazkur sindromning asosan 3–13 yoshli sog‘lom rivojlanayotgan bolalarda uchrashi, odatda tungi tutqanoqlar bilan namoyon bo‘lishi, shuningdek EEGda centrotemporal zonalarda “spike-and-wave” to‘lqinlar aniqlanishi kabi mezonlar muhokama qilingan. Rolandik epilepsiya ko‘pincha o‘z-o‘zidan remissiyaga uchrashi bilan ijobiy prognozga ega bo‘lsa-da, ayrim bemorlarda e’tibor yetishmovchiligi, nutq muammolari va psixologik noqulayliklar kuzatilishi mumkin. Shuningdek, maqolada zamonaviy davolash yondashuvlari, individual terapiya rejalari va psixopedagogik qo‘llab-quvvatlash zarurati haqida so‘z boradi. Ushbu tadqiqot rolandik epilepsiyaning erta aniqlanishi va kompleks yondashuv asosida samarali boshqarilishini ta’minlashga qaratilgan.

ushbu maqolada Markaziy Osiyo mutasavviflarining islom falsafasi rivojlanishida tutgan o’rni va ushbu mavzuni o‘rgangib, jamiyatimiz ma’naviyatino oshirishga hissa qo‘shgan olim M.Boltayev haqida qarashlar bayon etilgan.Shuningdek, faylasuf - olim M.Boltayevning Markaziy Osiyo so‘fiylarining tasavvuf haqidagi qarashlari o‘rin egallagan.

Affix productivity in Modern English represents a dynamic aspect of morphological development, reflecting both linguistic innovation and functional necessity. Derivational and inflectional affixes contribute significantly to word formation, enabling the language to expand its lexicon efficiently. Among the most productive affixes are -ness, -er, -less, and -ize, which continue to generate new lexical items in contemporary usage. The degree of affix productivity varies based on frequency, semantic transparency, and the openness of lexical categories they attach to. Productive affixes tend to be more flexible and are often used in neologisms and informal contexts. Recent linguistic studies have shown that technological, social, and cultural changes heavily influence affix usage and productivity rates. Furthermore, corpus-based approaches help quantify affix productivity and track morphological trends in real-world data. Understanding affix productivity is essential not only for morphological theory but also for practical