This dataset was taken from https://osf.io/gmz7e and cleaned and harmonized for the openESM project. Please cite the original authors and the openESM project when re-using this dataset and follow the …
This dataset was taken from https://osf.io/gmz7e and cleaned and harmonized for the openESM project. Please cite the original authors and the openESM project when re-using this dataset and follow the license conditions. You can find more citation information on our website.
FARMATSEVTIK SIFAT NAZORATIDA YUQORI SAMARALI SUYUQLIK XROMATOGRAFIYASI (HPLC) USULINING AHAMIYATI
September, 2026 • Publication
Jumanov Navruzbek Abdulla o'g'li, Raximov Muhammadamin Olimjon o'g'li, Murodov Zuhriddin Zafarzoda — Toshkent farmatsevtika instituti talabalari, Klinik farmatsiya yo'nalishi Ilmiy rahbar: Toshkent farmatsevtika instituti Farmatsevtik kimyo kafedrasi professori, f.f.d. Xusainova Rayhona Ashrafovna
Dori vositalarining sifati, xavfsizligi va samaradorligini ta’minlashda faol va yordamchi moddalarni aniq miqdoriy va sifat jihatidan tahlil qilish muhim o‘rin tutadi. Bu borada yuqori sam…
Dori vositalarining sifati, xavfsizligi va samaradorligini ta’minlashda faol va yordamchi moddalarni aniq miqdoriy va sifat jihatidan tahlil qilish muhim o‘rin tutadi. Bu borada yuqori samarali suyuqlik xromatografiyasi (HPLC) usuli farmatsevtik analitikada eng ishonchli va keng qo‘llaniladigan vositalardan biri hisoblanadi.
Medical Imaging Explained: Systems, Diagnostics & Imaging Technologies
September, 2026 • Lesson
Prep4Uni.Online
This open educational resource (OER) curriculum module provides a comprehensive, mathematically rigorous foundation in Medical Imaging, spanning the physical principles, tomographic reconstruction alg…
This open educational resource (OER) curriculum module provides a comprehensive, mathematically rigorous foundation in Medical Imaging, spanning the physical principles, tomographic reconstruction algorithms, and clinical instrumentation that enable non-invasive anatomical and physiological diagnostics.
Covered modalities include projection radiography, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), diagnostic ultrasound, and nuclear medicine (PET/SPECT). The module details the ALARA radiation protection framework, k-space Fourier mechanics, iterative reconstruction, and photon-counting CT (PCCT). Classical inverse problems are bridged to contemporary 2026 computational paradigms, featuring:- Physics-Informed Neural Networks (PINNs) enforcing linear attenuation Radon transform conservation for sparse-view CT dose reduction.- Fourier Neural Operators (FNOs) and DeepONets for zero-shot, real-time k-space MRI reconstruction.- Generative diffusion models for ultra-low-count PET Poisson denoising.- A multi-step analytical calculation evaluating CT linear attenuation coefficients from Hounsfield Units, Dose-Length Product (DLP), effective dose (ICRP-103), and lifetime attributable cancer risk.- A structured systems engineering trade-off matrix analyzing spatial resolution versus radiation burden, static magnetic field strength versus RF SAR tissue heating, and acoustic frequency versus penetration depth.- An interactive digital simulation canvas modeling the trade-off between CT tube current (mAs), tube potential (kVp), reconstruction algorithms (FBP, IR, DLIR), and effective radiation dose.- Three tiers of self-assessment modules covering fundamental principles, clinical scenario analyses, and quantitative medical physics calculations with complete step-by-step solutions.
Permanent web resource: https://prep4uni.online/stem/physical-technologies/biomedical-engineering/medical-imaging/
Medical ImagingComputed Tomography (CT)Magnetic Resonance Imaging (MRI)UltrasoundPositron Emission Tomography (PET)
Enhancing Broiler Resilience and Productivity through Organic Trace Mineral Supplementation: Role of IL-10 and Antioxidant
October, 2026 • Conference paper
Patel, P, Mishra, A, Jain, A, Singh, P, Gattani, Aet al.
Poultry production is a rapidly expanding component of India’s livestock sector and a major source of affordable, high-quality animal protein. Optimizing trace mineral bioavailability may provid…
Poultry production is a rapidly expanding component of India’s livestock sector and a major source of affordable, high-quality animal protein. Optimizing trace mineral bioavailability may provide a sustainable strategy to improve broiler health, resilience and productivity. The present study investigated the comparative effects of organic and inorganic zinc (Zn), selenium (Se) and chromium (Cr) supplementation on immune regulation, oxidative stress and productive performance in broilers. A total of 312 day-old Cobb broiler chicks were randomly allocated to 13 groups (24 birds/group) with three replicates. The control group (T1) received a basal diet, while Zn (40 mg/kg), Se (0.3 mg/kg), and Cr (2 mg/kg) were supplemented individually or in combination through inorganic, 50:50 inorganic–organic, and organic sources. Relative expression of the anti-inflammatory cytokine gene IL-10 was assessed in spleen, bursa of fabricius, caecal tonsil and ileum tissue using RT-PCR, along with antioxidant and oxidative stress biomarkers and growth performance. The highest IL-10 upregulation was observed in the organic Se group (T7), followed by organic Cr (T10) and organic Zn (T4). Serum catalase activity was significantly (p ≤ 0.05) higher in T13, while plasma thiobarbituric acid (TBA) concentration was significantly (p ≤ 0.05) higher in the control group. Body weight gain, feed intake, feed efficiency ratio and performance index were significantly (p ≤ 0.05) superior in T13, followed by T7. Overall, organic trace mineral supplementation, particularly combined Zn–Se–Cr, enhanced immune modulation, antioxidant defence and productive performance, demonstrating its potential to strengthen physiological resilience and production efficiency in intensive broiler systems, ultimately supporting overall health and reducing production-associated physiological stress.
Suitable electrocatalysts for the oxygen reduction and evolution reactions (ORR and OER) are paramounttoward a hydrogen economy. This has spurred the elaboration of countless computational models tosc…
Suitable electrocatalysts for the oxygen reduction and evolution reactions (ORR and OER) are paramounttoward a hydrogen economy. This has spurred the elaboration of countless computational models toscreen catalysts typically based on adsorption-energy scaling relations. However, studies of OER/ORRbifunctional electrocatalysis are less common, especially from a computational standpoint, whichhinders progress in regenerative fuel cells and zinc–air batteries. Here, we provide a data-driven studyusing principal component analysis (PCA) to find guiding principles for enhanced OER/ORRbifunctionality. PCA shows that scaling-relation-based models should be sectorized to be predictive andrequire an objective function beyond that of the least-squares method to control maximum averageerrors. Alternatively, PCA shows that electrochemical-symmetry-based models are as accurate butrequire no sectorization. Optimized models based on DGOH and DESSI = ESSIOER − ESSIORR, thedescriptors found via PCA, are shown to match or surpass the results of supervised machine learning.Therefore, advanced yet swift searches for OER/ORR bifunctional electrocatalysts may now be rationallyguided by DGOH or DESSI.
NEYRODIDAKTIK YONDASHUV ASOSIDA TALABALARNING TANQIDIY FIKRLASHINI RIVOJLANTIRISH
September, 2026 • Publication • CURRENT APPROACHES AND NEW RESEARCH IN MODERN SCIENCES
Qutlimuratova, Laylo
Mazkur tezisda neyrodidaktik yondashuv asosida talabalarning tanqidiy fikrlashini rivojlantirish masalasi yoritilgan. Neyrodidaktikaning ta’lim jarayonida talabalarning diqqat, xotira, motivatsi…
Mazkur tezisda neyrodidaktik yondashuv asosida talabalarning tanqidiy fikrlashini rivojlantirish masalasi yoritilgan. Neyrodidaktikaning ta’lim jarayonida talabalarning diqqat, xotira, motivatsiya va kognitiv faolligini hisobga olish imkoniyatlari tahlil qilinadi. Shuningdek, tanqidiy fikrlashni rivojlantirishga yo‘naltirilgan neyrodidaktik tamoyillar, pedagogik metodlar va amaliy topshiriqlar tizimi taklif etiladi. Mazkur metodikadan foydalanish talabalarning axborotni tahlil qilish, dalillarni baholash, muqobil fikrlarni solishtirish va mustaqil xulosa chiqarish ko‘nikmalarini takomillashtirishga xizmat qiladi
Auditable patch validity for lightweight language-model software repair
September, 2026 • Journal article • International Journal of Electrical and Computer Engineering (IJECE)
Singh, Rishabh
Terminal resolve rate obscured where repository-level language-model patches lost utility between generation and execution. This study addressed that mea- surement gap by proposing an auditable patch-…
Terminal resolve rate obscured where repository-level language-model patches lost utility between generation and execution. This study addressed that mea- surement gap by proposing an auditable patch-validity framework whose con- ceptual novelty was to represent each artifact as monotonic survival through six evidence-linked checkpoints: non-empty generation, syntactic validity, reposi- tory applicability, harness completion, behavioral resolution, and review readi- ness. The first five were measured from archived generations, normalization records, and Docker-harness outcomes; review readiness remained a proposed deployment check. In a 300-artifact diagnostic slice, 64 failed syntax, 77 failed applicability, 151 reached execution but remained unresolved, and 8 resolved. Across 1,600 larger-run artifacts, 776 (48.5%) were invalid or inapplicable and 22 resolved. Staged prompting improved completion in some configurations, but its strongest diagnostic resolution advantage, 4/50 versus 1/50, was exploratory (p = 0.25) and reversed at larger scale. By converting terminal outcomes into syntactic, repository-state, and semantic failure tiers, the framework enabled low-cost pre-execution filtering, targeted remediation, and auditable continuous integration (CI) resource allocation. It was a measurement and triage instrument, not a new repair algorithm.
Artifact provenanceAutomated program repairCode generationRepository validationSoftware quality
SUVDA KAM ERIYDIGAN FAOL MODDALARNING BIOAVAILLIGINI OSHIRISHDA QATTIQ DISPERSIYALAR USULINING AHAMIYATI
September, 2026 • Publication
Jumanov Navruzbek Abdulla o'g'li, Raximov Muhammadamin Olimjon o'g'li, Murodov Zuhriddin Zafarzoda — Toshkent farmatsevtika instituti talabalari, Klinik farmatsiya yo'nalishi Ilmiy rahbar: Toshkent farmatsevtika instituti Farmatsevtik kimyo kafedrasi professori, f.f.d. Xusainova Rayhona Ashrafovna
Farmatsevtik amaliyotda ishlab chiqilayotgan yangi faol moddalarning katta qismi suvda kam eriydiganlar toifasiga kiradi, bu esa ularning peroral dori shakllarida terapevtik samaradorligini pasaytirad…
Farmatsevtik amaliyotda ishlab chiqilayotgan yangi faol moddalarning katta qismi suvda kam eriydiganlar toifasiga kiradi, bu esa ularning peroral dori shakllarida terapevtik samaradorligini pasaytiradi. Shu sababli erishni yaxshilovchi texnologik usullarni tanlash va ularni ilmiy asoslash dolzarb muammo hisoblanadi
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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