Мазкур мақола сиёсий вазиятлар ва жараёнларни амалий таҳлил этишнинг контент-таҳлил, ивент-таҳлил, когнитив хариталаш каби фанлараро методларига бағишланган. Ушбу методларини кўриб чиқиб, муаллиф уларни илмий амалиётда қўллашнинг кучли ва кучсиз жиҳатларини кўрсатиб беради.
Shox pardaning yallig'lanish kasalliklari butun dunyo bo'ylab ko'rlikning eng keng tarqalgan sabablaridan biridir. So'nggi yillarda shox parda kasalliklarini davolashning ko'plab zamonaviy usullari paydo bo'ldi, jumladan, an'anaviy konservativ usullardan tashqari, zamonaviy jarrohlik usullari, masalan, avtokon'yunktival plastika, amniotik membranani transplantatsiya qilish, terapevtik keratoplastika, shox pardani shox parda qopqog'i bilan qoplash, mikrodiatermokoagulyatsiya, va shox pardaning o'zaro bog'lanishi. Kornea patologiyasini davolashda istiqbolli yo'nalish ildiz hujayralari terapiyasi va hujayra terapiyasi hisoblanadi.
Sign language recognition has gained significant attention due to its potential to bridge communication gaps between the deaf and hearing communities. This article presents a comprehensive review of machine learning methods employed for the recognition of Uzbek Sign Language (UzSL). The unique visual and spatial nature of sign languages poses challenges that necessitate specialized techniques for accurate recognition. This review surveys various approaches, ranging from traditional techniques to modern deep learning methods, used to recognize UzSL gestures. The article begins by introducing the significance of UzSL recognition and its impact on facilitating effective communication for the Uzbek deaf community. It outlines the complexities involved in sign language recognition, including variations in hand shapes, movements, and facial expressions. The challenges of limited training data, real-time recognition, and capturing dynamic features are discussed in depth. A survey of traditional machine learning methods such as Hidden Markov Models (HMMs), Support Vector Machines (SVMs), and k-Nearest Neighbors (k-NN) is presented, along with their applications and limitations in UzSL recognition. The evolution of these methods into more sophisticated approaches like Dynamic Time Warping (DTW) and Conditional Random Fields (CRFs) is also explored.
Anʼanaviy taʼlim tizimi hozirgi jamiyat ehtiyojlaridan biroz orqada qolmoqda. Zamonaviy taʼlim kontseptsiyasi oʼqituvchining kasbiy faoliyatining maqsadini belgilab berdi – talabalarning jamiyatda muvaffaqiyatli ijtimoiylashish, mehnat bozoriga faol moslashish qobiliyatini shakllantirish. Buning natijasi oʼqitishda innovatsion texnologiyalarni rivojlantirishdir. Innovatsion usullar oʼquvchilarning oʼquv va kognitiv faoliyatini tashkil etishning yangi uslubi bilan ajralib turadi. Ushbu maqolada milliy guruhlarda rus tilini o'qitishda innovatsion usullarning xususiyatlarini tavsiflashga urinishlar boʼladi.
Maqolada usullarga kiritilgan printsiplar, shuningdek, shox pardani o'rganish uchun qo'llaniladigan usullarning o'zlari keltirilgan: biomikroskopiya, paximetriya, topografik keratotopografiya, optik kogerent tomografiya, konfokal mikroskopiya va endotelial biomikroskopiya. Shox pardani tekshirishning an'anaviy va zamonaviy yuqori texnologiyali usullaridan foydalanish murakkab klinik holatlarda erta va differentsial tashxis qo'yish, davolashni kuzatish, shuningdek, shox parda kasalliklarining kechishi va oqibatlarini bashorat qilish imkonini beradi.
The main aim of this research paper is to analyze and make necessary comparisons about the role of these two types of teaching methods in English. We all know that from a long history, it has been a debated topic among scientist to whether choose only modern ways of teaching or to keep ancient ones as well. Thus, in this article I decided to look through the main advantages and disadvantages of these
both methods and make necessary comparisons among them