Our Work

Ushbu tezisda sanoat obyektlarida, xususan nasos stansiyalarida avtomatlashtirish vositalarining texnik holatini monitoring qilish va yuzaga kelishi mumkin bo‘lgan nosozliklarni oldindan bashora…

Ushbu tezisda sanoat obyektlarida, xususan nasos stansiyalarida avtomatlashtirish vositalarining texnik holatini monitoring qilish va yuzaga kelishi mumkin bo‘lgan nosozliklarni oldindan bashoratlash masalasi ko‘rib chiqiladi. Tadqiqotda bosim, sarf, sath va vibratsiya kabi texnologik parametrlarni tahlil qilish orqali uskunaning texnik holatini baholashga e’tibor qaratilgan. Bashoratlash jarayonida Python dasturlash muhiti va mashinali o‘qitishning chiziqli regressiya usulidan foydalanish taklif etiladi. 

Pulmonology disorders present significant clinical challenges globally,   necessitating evidence-based review of contemporary diagnostic and therapeutic strategies. 

Mazkur tezisda boshlang‘ich ta’lim jarayonida STEAM (Science, Technology, Engineering, Art, Mathematics) texnologiyasidan foydalanish asosida o‘quvchilarda kelgusidagi kasbiy faoliya…

Mazkur tezisda boshlang‘ich ta’lim jarayonida STEAM (Science, Technology, Engineering, Art, Mathematics) texnologiyasidan foydalanish asosida o‘quvchilarda kelgusidagi kasbiy faoliyat uchun zarur bo‘lgan dastlabki ko‘nikmalarni rivojlantirish hamda o‘quv topshiriqlarini bajarish natijalari orqali ta’lim samaradorligini baholash masalalari yoritiladi. STEAM yondashuvining fanlararo integratsiya, amaliy faoliyat, muammoli vaziyatlarni hal etish, ijodkorlik, tanqidiy fikrlash va hamkorlikka yo‘naltirilganligi uning didaktik imkoniyatlarini belgilaydi. O‘quv topshirig‘ining mazmuni, amaliy yo‘nalganligi, murakkablik darajasi, o‘quvchining mustaqilligi, ijodiy yondashuvi, fanlararo bog‘liqlik, natijani taqdim etishi va refleksiyasi ta’lim samaradorligini baholashning muhim omillari sifatida asoslanadi.

Keng miqyosda olingan retrospektiv tahlilga ko‘ra, dunyodagi teleko‘rsatuvlarning 60 foizini ko‘ngilochar dasturlar tashkil etadi. Televideniening OAV sifatidagi taqdiri hal qilinayo…

Keng miqyosda olingan retrospektiv tahlilga ko‘ra, dunyodagi teleko‘rsatuvlarning 60 foizini ko‘ngilochar dasturlar tashkil etadi. Televideniening OAV sifatidagi taqdiri hal qilinayotib, ko‘pincha bu dasturlar tanqid ob’ektiga aylanadi.  Mazkur maqolada O‘zbekiston va Yaponiya televideniyalari misolida axboriy va ko‘ngilochar dasturlar rivojlanishining asosiy tendensiyalari, televidenie sanoatining jamoatchilik talablariga qanday javob berishi tahlil qilinadi. Olingan natijalar asosida muallif tomonidan teleindustriyadagi talab va taklif o‘rtasidagi bog‘liqlik tadqiq etilgan.

Discrete-event simulation framework accompanying the manuscript "Hybrid blockchain consensus algorithms trade communication overhead against Byzantine fault tolerance in a quantitative simulation benc…

Discrete-event simulation framework accompanying the manuscript "Hybrid blockchain consensus algorithms trade communication overhead against Byzantine fault tolerance in a quantitative simulation benchmark". The framework implements four hybrid blockchain consensus algorithms, Delegated Proof of Stake Work (DPoSW), Proof of Stake and Work (PoSW), Proof of CASBFT (PoCASBFT) and Delegated Byzantine Proof of Stake (DBPoS), together with three pure-protocol baselines (PurePoW, PurePBFT, PureDPoS) implemented under identical parameters so that each hybrid can be benchmarked directly against the primitive it extends. Seven metrics are modelled: throughput, consensus latency, transaction finality, energy consumption per transaction, fault tolerance under Byzantine nodes, a documented five-criterion security score, and per-round message complexity. All reported latency, energy and message-complexity values are computed as closed-form expected values rather than by Monte Carlo sampling, giving a uniform modelling methodology across all algorithms; an independent Monte Carlo validation script is included for the one algorithm whose model contains a genuine random variable. The simulator and the validation script depend only on the Python standard library, so all numerical results in the manuscript can be reproduced without installing any third-party package. Precomputed results (JSON and CSV) and figures are included so that reported values can be inspected without re-running anything.

Physical education is a developing discipline which includes the investigation of psychomotor abilities and the processes of the body associated with functioning in movements and play. Concerning phys…

Physical education is a developing discipline which includes the investigation of psychomotor abilities and the processes of the body associated with functioning in movements and play. Concerning physical activity, safety, health and well being. This discipline includes a wide range of activities, including sports and dance, strength and conditioning training. Schools and colleges have made a point of highlighting the importance of a properly managed PE programme, which is rooted in a good PE curriculum. Many of these programs are used as a stepping stone to many strenuous physical activities and careers in the future. This article highlights different modern career opportunities in fitness, sports and yoga to give PE students some flexibility in selecting subjects that will complement their personal interests and skills. In conclusion, physical education and sport are critical in the modern world and are currently in a good state. This article covered the importance of exercise for health and the quality of exercise – an essential part of physical education and sport. Physical education is one of the emerging areas of education and profession. Exercises is a research of Physical Motion, Safety and well being and Wellness. Physical education includes a variety of activities such as sports, dance and strength training.  

Automated daily release of the Mosquito Alert v2 sampling-effort dataset.

This deposit contains the trained MACE machine-learned interatomic potential (MLIP) for Janus BrClM (M = Ti, Zr, Hf) monolayers and its DFT reference dataset: the production model checkpoint, 592 trai…

This deposit contains the trained MACE machine-learned interatomic potential (MLIP) for Janus BrClM (M = Ti, Zr, Hf) monolayers and its DFT reference dataset: the production model checkpoint, 592 training and 65 validation structures with per-composition breakdown, held-out test sets (finite-temperature AIMD, strain, Cl vacancy), and the training script. Reference energies and forces were computed with VASP (PBE, PAW, 550 eV cutoff); training used AMSGrad, learning rate 5 × 10⁻⁴, 80 epochs, loss weights E/F/S = 1.5/10/5, random seed 123. Companion dataset to the PCCP manuscript on BrClM monolayers.

Open access data on Mosquito Alert participation and sampling effort. This dataset contains data on participation and sampling effort in the Mosquito Alert citizen science system. It can be used for a…

Open access data on Mosquito Alert participation and sampling effort. This dataset contains data on participation and sampling effort in the Mosquito Alert citizen science system. It can be used for a variety of purposes, including (a) to adjust estimates of mosquito population densities and human-mosquito encounters based on sampling effort, and (b) to better understand the dynamics of citizen scientists' participation. The data is organized spatially by grids of "sampling cells," drawn at intervals of 0.05 degree and 0.025 degree latitude and longitude, and it is based on optional anonymous background tracks from the Mosquito Alert app. The dataset includes raw track counts aggregated in sampling cells, along with estimates of sampling effort based on a model of participants' propensity to send any report as a function of the time elapsed since they first began participating. The repository is hosted on both Zenodo and GitHub and contains the following files: sampling_effort_daily_cellres_025.csv.gz - Daily participation and sampling effort in 0.025 degree sampling cells. sampling_effort_daily_cellres_025_metadata.json - Metadata for the 0.025 degree sampling cell data. sampling_effort_daily_cellres_05.csv.gz - daily participation and sampling effort in 0.05 degree sampling cells. sampling_effort_daily_cellres_05_metadata.json - Metadata for the 0.05 degree sampling cell data. CITATION.cff - Shows how to cite this dataset. LICENSE - License for this dataset. .gitignore - Specifies which files are excluded from the git repository. README.md - This file. .github/workflows/auto-release.yml - Script used for automating releases from GitHub.

Geriatrics disorders present significant clinical challenges globally,  necessitating evidence-based review of contemporary diagnostic and therapeutic strategies.