Wilms tumor (nephroblastoma) is the most prevalent primary malignant renal tumor in children, accounting for approximately 90% of pediatric renal malignancies. Early and accurate diagnosis plays a critical role in the prognosis and overall treatment success. The role of radiological imaging in Wilms tumor extends beyond mere detection; it includes staging, treatment planning, and monitoring response to therapy. This article provides an in-depth analysis of the diagnostic effectiveness of ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) in detecting Wilms tumor in children. Comparative evaluations of each modality’s sensitivity, specificity, and limitations are supported by recent case statistics and clinical findings. An integrated radiological approach can enhance clinical outcomes, reduce unnecessary surgical interventions, and facilitate personalized care strategies.

Ushbu ilmiy maqolada Xorazm viloyatining qadimgi davrlaridan boshlab, bugungi kungacha bo‘lgan rivojlanish bosqichlari haqida kengroq ma’lumot berilib o’tilgan. Qadimgi Xorazm madaniyati, antik va o‘rta asr davlatlari, Xorazmshohlar davri, Xiva xonligi va XX asrda yuz bergan ijtimoiy o‘zgarishlar ilmiy manbalar asosida tahlil qilinadi. Shuningdek, Xorazmning bugungi kundagi iqtisodiy va madaniy rivojlanishi, turizm sohasidagi yutuqlari ham o‘rganilgan. Maqola davomida tarixiy voqealarga asoslangan holda, Xorazm viloyatining O‘zbekiston tarixidagi o‘rni va uning jahon tamadduniga qo‘shgan hissasi haqida ma’lumotlar keltirib o’tilgan

This scientific work explores the clinical features, causes, and contemporary treatment strategies for tension-type headache in children, one of the most prevalent and often underdiagnosed neurological conditions in the pediatric population. The study highlights the multifactorial origin of tension-type headache, emphasizing psychological stress, musculoskeletal strain, and lifestyle imbalances as central contributing factors. Special attention is given to the importance of early diagnosis based on clinical evaluation, patient history, and the use of structured assessment tools designed for children. The research reviews both pharmacological and non-pharmacological treatment approaches, with a focus on behavioral therapy, cognitive-behavioral interventions, physical therapy, and biofeedback techniques. Preventive strategies such as stress management, sleep hygiene, physical activity, and nutritional regulation are also discussed as key elements in reducing the frequency and severity of headache episodes. Furthermore, the work highlights the psychosocial impact of chronic headache on children’s academic performance, emotional health, and social development.

Mazkur maqolada offshor kompaniyalarining xalqaro xususiy huquq doirasidagi huquqiy maqomi tahlil qilinadi. Asosiy e’tibor kompaniyaga nisbatan qo‘llaniladigan shaxsiy qonunni (lex societatis) aniqlovchi ikkita asosiy yondashuv — inkorporatsiya nazariyasi va asosiy faoliyat ko‘rsatiladigan joy nazariyasining (real seat theory) nazariy hamda amaliy tafovutlariga qaratiladi. Tadqiqotda qiyosiy-huquqiy, keys-tahlil va doktrinal yondashuvlar orqali offshor yurisdiktsiyalarning huquqiy xususiyatlari, xalqaro sud amaliyoti va O‘zbekiston qonunchiligidagi mavjud tartiblar tahlil qilinadi.

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.