Our Work

Annotatsiya. Tezisda varikosele tashxisi qoʻyilgan 55 nafar bemorda subingvinal mikroxirurgik Marmar usulida oʻtkazilgan operatsiyaning klinik samaradorligi, asoratlar chastotasi va spermogramma koʻrs…

Annotatsiya. Tezisda varikosele tashxisi qoʻyilgan 55 nafar bemorda subingvinal mikroxirurgik Marmar usulida oʻtkazilgan operatsiyaning klinik samaradorligi, asoratlar chastotasi va spermogramma koʻrsatkichlari dinamikasi oʻrganilgan. Operatsiyadan keyin sperma konsentratsiyasi, harakatchanligi va morfologiyasi statistik ahamiyatli yaxshilangani, asoratlar chastotasi past boʻlgani va umumiy klinik samaradorlik 94,5% ni tashkil etgani koʻrsatilgan.

mazkur tezisda maktabgacha ta’lim tashkilotlarida pedagog xodimlar o‘rtasida sog‘lom raqobatli muhitni yaratishning pedagogik shart-sharoitlari yoritilgan. Sog‘lom raqobat muhi…

mazkur tezisda maktabgacha ta’lim tashkilotlarida pedagog xodimlar o‘rtasida sog‘lom raqobatli muhitni yaratishning pedagogik shart-sharoitlari yoritilgan. Sog‘lom raqobat muhitining pedagoglarning kasbiy faolligi, tashabbuskorligi, ijodiy yondashuvi va kasbiy mahoratini rivojlantirishdagi ahamiyati tahlil qilingan. Shuningdek, pedagoglar o‘rtasida sog‘lom raqobatni shakllantirishda adolatli baholash, samarali rag‘batlantirish, teng imkoniyatlarni ta’minlash, o‘zaro hamkorlik va tajriba almashish kabi pedagogik shart-sharoitlarning o‘rni ochib berilgan. Maktabgacha ta’lim tashkilotida sog‘lom raqobat va hamkorlik uyg‘unligini ta’minlash orqali pedagoglarning kasbiy rivojlanishi hamda ta’lim-tarbiya jarayoni samaradorligini oshirish imkoniyatlari asoslangan.

The diagnosis of rolling element bearing faults is of most importance for the reliable and safe operation of rotating machinery. An adaptive selection of fault features based on a hybrid convolutional…

The diagnosis of rolling element bearing faults is of most importance for the reliable and safe operation of rotating machinery. An adaptive selection of fault features based on a hybrid convolutional neural network (CNN)-bidirectional gated recurrent unit (BiGRU) framework with dual attention and reinforcement learning (RL) is investigated. First, the CNN learns the local vibration features from raw one-dimensional signals. Second, the BiGRU learns the bidirectional temporal dependencies from the learned features. Then, the channel attention and temporal attention further refine the learned features to be more informative feature channels and diagnostically significant temporal states. Finally, an RL-based probabilistic masking policy adaptively suppresses redundant latent features through sparse feature selection. Therefore, the proposed framework combines adaptive latent-feature sparsification, bidirectional temporal modeling, dual-level attention refinement and local feature extraction in a unified end-to-end architecture. In the experimental study on a laboratory vibration dataset with five bearing conditions, the proposed framework achieved 99.31% accuracy under the primary evaluation protocol. As a separate and more reliable assessment of generalization across independent original recordings, a five-fold source-level cross-validation procedure was performed, with a mean test accuracy of 90.38% ± 6.27%.The generalization ability of the proposed approach was also validated by the accuracy of 99.57% obtained in the cross data validation using the benchmark dataset of Case Western Reserve University (CWRU). The results demonstrate the diagnostic capability of the proposed framework while maintaining practical computational characteristics and incorporating adaptive feature selection.

This paper explores the capability of generative Artificial Intelligence Translation to preserve an author’s idiosyncratic literary style in comparison with professional Human Translation. The s…

This paper explores the capability of generative Artificial Intelligence Translation to preserve an author’s idiosyncratic literary style in comparison with professional Human Translation. The study specifically focuses on the semantic, pragmatic and stylistic landscape of the prominent Uzbek writer Utkir Hoshimov. Utilizing a parallel corpus extracted from Hoshimov’s masterwork “Dunyoning ishlari” (1982) and its authorized English translation “Such is Life” (2024) by Mark Reese and Abdullajon Ruziev, we evaluate Human Translation against Artificial Intelligence. The comparison is conducted across five main variables, including lexical choice, sentence length rhythm, rhetorical repetition, imagery and emotional tone. The findings reveal that while AI demonstrates high semantic speed and structural readability, it fundamentally flattens the pragmatic depth, realia and deep emotional resonance inherent in Hoshimov’s works.

 Ushbu tezisda mahalliy va ikkilamchi xomashyolar asosida sement maydalash  jarayonini tezlashtiruvchi qo‘shimchalardan foydalanish imkoniyatlari tahlil qilindi. Melassa,  glitser…

 Ushbu tezisda mahalliy va ikkilamchi xomashyolar asosida sement maydalash  jarayonini tezlashtiruvchi qo‘shimchalardan foydalanish imkoniyatlari tahlil qilindi. Melassa,  glitserin va lignin kabi ikkilamchi mahsulotlarning sement zarrachalari aglomeratsiyasini  kamaytirishi, maydalash samaradorligini oshirishi hamda sementning dispersligi va mustahkamlik  xossalariga ijobiy ta’sir ko‘rsatishi yoritildi. Bunday qo‘shimchalardan foydalanish energiya sarfi va  mahsulot tannarxini kamaytirish imkonini beradi.

Mazkur tezisda o‘pka kasalliklarini erta aniqlashda sun’iy intellekt va neyron tarmoqlarning imkoniyatlari tahlil qilinadi. Rentgen va kompyuter tomografiyasi tasvirlarini avtomatik tekshi…

Mazkur tezisda o‘pka kasalliklarini erta aniqlashda sun’iy intellekt va neyron tarmoqlarning imkoniyatlari tahlil qilinadi. Rentgen va kompyuter tomografiyasi tasvirlarini avtomatik tekshirish, shubhali o‘choqlarni topish, segmentatsiya, klassifikatsiya hamda xavfni baholash bosqichlari yoritiladi. Chuqur o‘rganish modellarining afzalliklari bilan birga ma’lumot sifati, tashqi validatsiya, tushuntiriluvchanlik va klinik nazorat talablari ko‘rib chiqiladi. Sun’iy intellekt shifokor qarorini qo‘llab-quvvatlovchi vosita sifatida baholanadi.

This BioFAIR story presents a FAIR, end-to-end analysis of a single-cell dataset, deliberately focusing on methods and practices that can be applied broadly across next-generation sequencing workflows…

This BioFAIR story presents a FAIR, end-to-end analysis of a single-cell dataset, deliberately focusing on methods and practices that can be applied broadly across next-generation sequencing workflows.  My perspective is rooted in the practical realities of implementing FAIR principles within a research environment, balancing aspirational best practice with what can realistically be achieved using existing institutional systems.  The maturity of our current FAIR implementation is assessed at the end of the document using a dedicated checklist.

This submission contains a report for a small project "Greening Digital Research - Understanding Training Needs and Confidence Gaps" which was funded by the UKRI Digital Research Infrastructure Progra…

This submission contains a report for a small project "Greening Digital Research - Understanding Training Needs and Confidence Gaps" which was funded by the UKRI Digital Research Infrastructure Programme.  The goal of this project was to organise a series of workshops and community events to better understand which “green skills” are relevant to different dRTP roles, to close the gap between sustainability efforts and the daily work of dRTPs. The skills from the DIRECT framework have been used as a scaffold for the community sessions. We also explored what training content could be developed to help embed the green principles across all roles in our ecosystem. The work has been done as a collaboration between the following projects: CHARTED, DisCouRSE and NetDRIVE. This report provides the context and summary of the outputs from this small project. 

Ushbu tezisda zaytun moyi ishlab chiqarish jarayonida hosil bo‘ladigan zaytun mezgasini BND 60/90 markali neft bitumini modifikatsiyalashda qo‘llashning ekologik va texnologik jihatlari ko…

Ushbu tezisda zaytun moyi ishlab chiqarish jarayonida hosil bo‘ladigan zaytun mezgasini BND 60/90 markali neft bitumini modifikatsiyalashda qo‘llashning ekologik va texnologik jihatlari ko‘rib chiqilgan. Zaytun mezgasi lignosellyulozaviy tarkibga ega bo‘lgan organik ikkilamchi xomashyo bo‘lib, uni yo‘l qurilish materiallariga yo‘naltirish chiqindilarni qayta ishlash va resurslardan oqilona foydalanish tamoyillariga mos keladi. Tadqiqot rejasida biomodifikatorning 1, 3, 5 va 7 massa % miqdorlari BND 60/90 bitumiga kiritilishi nazarda tutilgan. Illustrativ natijalar modifikator miqdori oshishi bilan penetratsiyaning kamayishi, yumshash haroratining ortishi va cho‘ziluvchanlikning pasayish tendensiyasini ko‘rsatadi. Fizik-mexanik xossalar majmuasi asosida 3–5 massa % zaytun mezgasi istiqbolli diapazon sifatida baholandi. Ushbu yondashuv organik chiqindilarni foydali mahsulotga aylantirish, an’anaviy modifikatorlarga bo‘lgan ehtiyojni qisman kamaytirish va ekologik yo‘naltirilgan yo‘l qurilish materiallarini ishlab chiqish uchun ilmiy asos yaratadi.