Qadimgi turkiy tillar, xususan XIII asrgacha bo‘lgan davr til materiallarini to‘plagan Sir Gerard Clauson o‘zining “An Etymological Dictionary of Pre-Thirteenth-Century Turkish” nomli nodir asarida turkiy tillar etimologiyasiga yirik hissa qo‘shgan. Mazkur lug‘atda minglab fe’llar fonetik, morfologik va semantik mezonlar asosida izohlangan. Qadimiy matnlardagi shakllari, turli turkiy lahjalardagi variantlari, qo‘llanish konteksti, hosila so‘zlar yasalishi haqida batafsil ma’lumotlar berilgan. Ushbu maqolada Sir Gerard Clausonning etimologik lugʻati asosida Chigʻatoy tilidagi ayrim fe’llarning kelib chiqishi, semantik o‘zgarishlari va boshqa turkiy tillardagi shakllari tahlil qilinadi. Etimologik izlanishlar orqali bu fe’llarning tarixiy-maʼnaviy qatlamlari yoritilib, ularning zamonaviy o‘zbek tilidagi izlari ko‘rsatiladi.

Hydrocephalus is a serious neurological condition characterized by an abnormal accumulation of cerebrospinal fluid (CSF) in the brain's ventricles. Early and accurate diagnosis is crucial to prevent irreversible brain damage and developmental delays in children. This article explores the efficacy, advantages, and limitations of non-ionizing radiological diagnostic techniques, including cranial ultrasound and magnetic resonance imaging (MRI), in pediatric hydrocephalus. It presents recent research findings, clinical case analyses, and statistical insights to advocate for safer diagnostic alternatives.

Mazkur maqolada rangtasvir san’atida nur va soya vositalarining badiiy hamda dramaturgik ifodaviy kuchi tahlil qilinadi. Nur va soyaning psixologik obraz yaratishdagi o‘rni, tenebrizm uslubining qadimiy va zamonaviy san’atdagi talqinlari, shuningdek, yorug‘lik kontrasti orqali kompozitsion yechimga erishish yondashuvlari yoritiladi.

Ushbu maqolada yurak-qon tomir kasalliklarining erkaklar va ayollar o‘rtasida uchrash chastotasi, klinik ko‘rinishlari, tashxis va davolashga bo‘lgan yondashuvlardagi farqlar tahlil qilinadi. Jinsiy farqlarning yurak kasalliklari patogenezi, simptomatika va natijaviy prognozga qanday ta’sir ko‘rsatishi tibbiy-amaliy nuqtai nazardan o‘rganilgan. Tadqiqotlar ayollarda yurak kasalliklarining kechish xususiyatlari ko‘pincha kech tashxislanishiga olib kelishini ko‘rsatmoqda. Shuningdek, maqolada klinik amaliyotda jinsga asoslangan individual yondashuv zarurati asoslab berilgan.

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.