PALWANLARDIŃ FIZIKALIQ KÚSHIN RAWAJLANDIRIWDAǴI HÁREKETLERINE SIPATLAMA

Kúshtiń shıdamlılıgı – bul sportshınıń salıstırmalı uzaq waqıt ishinde bulshıq etleriniń kúsheniwin payda etiwge bolǵan sheberlik. Palwannıń kúsh imkaniyatların rawajlandırıw ushın tómendegi metodlar qollanıladı: tákirarlawshı kúsheniw, qısqa múddetli maksimal kúsheniw, tez artıp baratuǵın awırlıq, soqqılı, birgelikte tásir etiw, variantlılıq, izometr kúsheniw usılları.


25.12.2024 Volume Issue View more Download
TENNISCHILARDA TEZKORLIK-KUCH TESTLARINING FIZIOLOGIK QIYMATI VA SHU SIFATLARNI HARAKATLI O‘YINLAR YORDAMIDA RIVOJLANTIRISH

Maqolada tennischilarda tezkorlik-kuch testlarining fiziologik qiymati va shu o‘sifatlarni harakatli yinlar yordamida rivojlantirish va 7-8 yosh tennischilarda tezkorlik-kuch testlarini fiziologik qiymatini aniqlashda so‘rovnoma o‘tkazish haqida so‘z boradi.


25.12.2024 Volume Issue View more Download
FEATURES OF OPERATING MODES OF SYNCHRONOUS AND STATIC COMPENSATORS

The article presents the features of the operating modes of synchronous and static compensators. The purpose of the article is to provide students, undergraduates and graduate students with new material on new domestic microprocessor-based integrated automatic devices and systems, to promote advanced training of personnel at power plants and electric power systems and to introduce into operation microprocessor-based automation equipment and relay protection of electric power systems in the process of its modern updating.


25.12.2024 Volume Issue View more Download
15-16 YOSHLI TENNISCHILARNING JISMONIY VA TEXNIK TAYYORGARLIGINI TAKOMILLASHTIRISH USLUBIYATI

Ushbu maqolada tennischilarning jismoniy va texnik tayyorgarligini takkomillashtirish usulubiyati hamda 15-16 yoshli tennischilarni maxsus jismoniy tayyorgarligini va harakat aniqligini baholovchi me’yoriy test mashqlari o‘tkazilganligi haqida so‘z boradi.


25.12.2024 Volume Issue View more Download
METHODS OF DIGITAL PROCESSING OF MRI IMAGES ON THE EXAMPLE OF THE BRAIN

Magnetic Resonance Imaging (MRI) has become a cornerstone in medical diagnostics due to its superior soft tissue contrast and non-invasive nature. However, the complexity and vast amount of data generated by MRI necessitate advanced digital processing techniques to enhance image quality, facilitate interpretation, and extract meaningful clinical information. This article provides a comprehensive overview of the current methods employed in the digital processing of MRI images. Key topics include preprocessing techniques such as noise reduction and artifact correction, image segmentation, feature extraction, and advanced reconstruction methods. We also explore the application of machine learning algorithms in enhancing diagnostic accuracy and efficiency. By integrating these digital processing methods, MRI technology can significantly improve patient outcomes through more precise and reliable imaging.


25.12.2024 Volume Issue View more Download
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