Mazkur maqolada ta’lim muassasalarini boshqarish tizimini takomillashtirishning dolzarb jihatlari yoritilgan. Bugungi kunda ta’lim sifati va samaradorligini oshirishda menejment tizimining samarali faoliyati muhim o‘rin egallaydi. Shuning uchun ta’lim jarayonida strategik rejalashtirish, innovatsion yondashuv, raqamli boshqaruv, monitoring va baholash tizimlarini rivojlantirish orqali menejmentni zamonaviylashtirish zarurati ortib bormoqda. Maqolada samarali boshqaruv modelini shakllantirish, kadrlar salohiyatini oshirish, resurslardan oqilona foydalanish va ta’lim muassasasining ichki muhitini yaxshilash bo‘yicha amaliy takliflar berilgan. Shuningdek, xorijiy tajribalar tahlil qilinib, ularni milliy tizimga moslashtirish imkoniyatlari ham ko‘rib chiqilgan.

Markaziy Osiyoda suv xavfsizligi tobora dolzarb masalaga aylanib bormoqda. Bunga iqlim o‘zgaruvchanligining kuchayishi, suvga bo‘lgan talabning ortishi hamda transchegaraviy daryolarni boshqarish bilan bog‘liq muammolar sabab bo‘lmoqda. Ushbu maqolada mintaqadagi transchegaraviy suv resurslarini boshqarish murakkabligi, milliy manfaatlar bilan mintaqaviy hamkorlik o‘rtasidagi o‘zaro bog‘liqlik asosida o‘rganiladi.

The relationship between a speaker’s native language (L1) and their pronunciation in a second language (L2) has long been recognized as a critical area of study within second language acquisition. Pronunciation is not merely about producing sounds correctly; it encompasses various phonological elements such as stress, rhythm, intonation, and syllable structure — all of which are deeply shaped by the learner's first language. This paper aims to explore the extent to which L1 interferes with or supports the acquisition of accurate L2 pronunciation. It investigates both segmental (individual sounds) and suprasegmental (prosodic features) aspects of speech, presenting evidence from various language groups to illustrate common patterns of transfer. Moreover, the study discusses how phonological habits from the native language often lead to a foreign accent and reduced intelligibility in the second language, even among otherwise proficient speakers. Emphasis is placed on practical strategies and pedagogical approaches that can be used to address L1-induced difficulties, such as contrastive analysis, phonetic training, and the use of technological tools for self-monitoring and feedback. The paper concludes that although native language influence is a natural and often unavoidable aspect of second language learning, its impact on pronunciation can be significantly minimized through targeted instruction and increased learner awareness.

Mazkur maqolada ta’lim muassasalarini boshqarish jarayonida innovatsion texnologiyalardan foydalanishning nazariy asoslari va amaliy jihatlari yoritilgan. Bugungi kunda ta’lim tizimida raqobatbardoshlikni ta’minlash, samaradorlikni oshirish va strategik maqsadlarga erishishda zamonaviy texnologiyalar muhim vosita sifatida qaralmoqda. Maqolada boshqaruv faoliyatiga raqamli platformalar, sun’iy intellekt asosidagi tizimlar, elektron hujjat aylanishi, masofaviy monitoring va tahlil dasturlarini joriy etishning afzalliklari tahlil qilinadi. Shuningdek, xorijiy tajribalar asosida milliy sharoitga mos innovatsion boshqaruv modellarini yaratish imkoniyatlari o‘rganiladi. Tadqiqot asosida innovatsion texnologiyalarni ta’lim menejmentiga integratsiya qilish orqali samarali, shaffof va tezkor boshqaruv tizimini shakllantirish bo‘yicha tavsiyalar ishlab chiqilgan.Mazkur maqolada ta’lim muassasalarini boshqarish jarayonida innovatsion texnologiyalardan foydalanishning nazariy asoslari va amaliy jihatlari yoritilgan. Bugungi kunda ta’lim tizimida raqobatbardoshlikni ta’minlash, samaradorlikni oshirish va strategik maqsadlarga erishishda zamonaviy texnologiyalar muhim vosita sifatida qaralmoqda. Maqolada boshqaruv faoliyatiga raqamli platformalar, sun’iy intellekt asosidagi tizimlar, elektron hujjat aylanishi, masofaviy monitoring va tahlil dasturlarini joriy etishning afzalliklari tahlil qilinadi. Shuningdek, xorijiy tajribalar asosida milliy sharoitga mos innovatsion boshqaruv modellarini yaratish imkoniyatlari o‘rganiladi. Tadqiqot asosida innovatsion texnologiyalarni ta’lim menejmentiga integratsiya qilish orqali samarali, shaffof va tezkor boshqaruv tizimini shakllantirish bo‘yicha tavsiyalar ishlab chiqilgan.

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.