Our Work

Reports a DFT study of the SO₃ splitting mechanism on metal oxide catalysts and the development of a materials screening platform. Over 1,000 materials were evaluated thermodynamically under two opera…

Reports a DFT study of the SO₃ splitting mechanism on metal oxide catalysts and the development of a materials screening platform. Over 1,000 materials were evaluated thermodynamically under two operating scenarios, producing a shortlist of 50 candidates benchmarked against V₂O₅ and Fe₂O₃ on reaction energetics and cost. Eight of them were selected for experimental synthesis and testing.

Materials used during the FAIR Clinic: Prepare Software for Publishing, delivered as part of the event FAIR Clinics: From Principles to Practice organised by the UMCG Digital Competence Center (DCC) o…

Materials used during the FAIR Clinic: Prepare Software for Publishing, delivered as part of the event FAIR Clinics: From Principles to Practice organised by the UMCG Digital Competence Center (DCC) on 8 October 2026.   This workshop supports researchers in preparing repository for publishing software to support sharing, publication, reuse, and citation. Participants work through practical activities focused on repository structure, documentation, licensing, software citation, and other elements that support FAIR and reusable software.

Fork of Leonardo Taglialegne's elm-interpreter (an interpreter for Elm, written in Elm), extendedby Luca Erzegovesi as the calculation engine of elm-foldbook, a multidimensional spreadsheet prototype …

Fork of Leonardo Taglialegne's elm-interpreter (an interpreter for Elm, written in Elm), extendedby Luca Erzegovesi as the calculation engine of elm-foldbook, a multidimensional spreadsheet prototype for teaching and research in corporate finance.Original contribution in this fork: the multidimensional data model XModel (datasets with named dimensions, DataArray values, named ranges, array operations; src/XModel.elm, src/TypesXModel.elm, src/XModelSample.elm), parsers for cell values and range names in formulas (src/XParser.elm, src/FormulaParser.elm), financial functions (src/Financial.elm), and the extension of the interpreter's values, environment, kernel and evaluator to multidimensional arrays (src/Kernel.elm, src/Eval/Expression.elm, src/Eval/Module.elm and related modules).By git blame, about 7,100 of the 11,900 lines in src/ are by L. Erzegovesi; the Elm parser, evaluator and code generation of elm/core are Taglialegne's work.  Public on GitHub since 29 July 2024 (https://github.com/lerzegov/elm-interpreter-fork, a fork of https://github.com/miniBill/elm-interpreter). This archive is the state at the last push of 18 December 2024, commit bc148ee3cdb33f435fd68f575a508c01444768ea, also archived by Software Heritage as swh:1:rev:bc148ee3cdb33f435fd68f575a508c01444768ea. Deposited on Zenodo on30 September 2026; the content is unchanged.

During the 2024 and 2025 field seasons in Makeyevka (Donetsk People's Republic), the factors determining the severity of horse chestnut leaf mining by Cameraria ohridella were investigated. The sum of…

During the 2024 and 2025 field seasons in Makeyevka (Donetsk People's Republic), the factors determining the severity of horse chestnut leaf mining by Cameraria ohridella were investigated. The sum of effective temperatures (SET) is the key factor determining the level of leaf mining damage, and this relationship is nonlinear: while an increase in SET stimulates an expansion of the mined leaf area, the rate of damage accumulation decelerates at high SET values. The combination of high illumination and group planting promotes mine development to a greater extent than shading and solitary planting. The study revealed no statistically significant effect of autumn leaf litter removal. However, this conclusion is limited by the sampling design: the leaf removal factor was spatially confounded with specific locations, making it statistically impossible to disentangle the effect of the agrotechnical practice itself from that of local environmental conditions.

This report summarises the implementation and main results of the STU-GUARD project at the project midpoint, corresponding to Month 15. It provides an overview of the implementation schedule, project …

This report summarises the implementation and main results of the STU-GUARD project at the project midpoint, corresponding to Month 15. It provides an overview of the implementation schedule, project structure, completed deliverables, research activities, procurement of equipment, and modernization of research infrastructure. The report also describes deviations from the original implementation plan, outlines activities planned for the next project period, and provides references to individual project deliverables containing more detailed information on the work performed. The document also serves as a supplementary report to the project’s interim monitoring documentation.

The vision of the project is to find a scalable and flexible path for supply of multi-fuels, ammonia and methanol besides hydrogen, to act as key contenders in replacing marine diesel as fuel on ocean…

The vision of the project is to find a scalable and flexible path for supply of multi-fuels, ammonia and methanol besides hydrogen, to act as key contenders in replacing marine diesel as fuel on ocean going vessels, coupled with their use in a multi-fuel energy generation system using Solid Oxide Fuel Cell technology.

adqiqotda Oʻzbekiston fond bozorida muomalada boʻlgan HMKB, SQB, UZMK va QZSM aksiyalarining 2022-yil 1-iyuldan 2026-yil 30-iyungacha boʻlgan davrdagi risk va daromadlilik samaradorligi yagona metodol…

adqiqotda Oʻzbekiston fond bozorida muomalada boʻlgan HMKB, SQB, UZMK va QZSM aksiyalarining 2022-yil 1-iyuldan 2026-yil 30-iyungacha boʻlgan davrdagi risk va daromadlilik samaradorligi yagona metodologik yondashuv asosida qiyosiy baholangan. Empirik tahlilda CAGR, Sharpe, Sortino, Omega va Calmar koeffitsiyentlari, axborot koeffitsiyenti, M², CAPM beta, Jensen alfasi hamda VaR va CVaR koʻrsatkichlaridan foydalanilgan, bozorning taqqoslash mezoni sifatida UCI indeksi tanlangan. Natijalar riskka moslashtirilgan samaradorlik boʻyicha HMKB va SQB aksiyalarining boshqa aksiyalarga nisbatan ustunligini koʻrsatgan. UZMK aksiyasi eng past oʻzgaruvchanlik darajasiga ega boʻlishiga qaramay, manfiy CAGR va yuqori maksimal drawdown sabab umumiy reytingda uchinchi oʻrinni egallagan. CAPM natijalariga koʻra, kunlik ma'lumotlarda beta koeffitsiyentlari statistik jihatdan ahamiyatsiz boʻlgan, haftalik ma'lumotlarda esa uchta aksiya boʻyicha bozor bilan musbat va statistik ahamiyatli bogʻliqlik aniqlangan.

Maqolada bezgak tugatilgach Surxondaryo viloyati sogʻliqni saqlash tizimining «yagona kasallikka qarshi kurash» modelidan umumiy tibbiy xizmatga oʻtishi, shifoxona tarmogʻi va koyka fondin…

Maqolada bezgak tugatilgach Surxondaryo viloyati sogʻliqni saqlash tizimining «yagona kasallikka qarshi kurash» modelidan umumiy tibbiy xizmatga oʻtishi, shifoxona tarmogʻi va koyka fondining oʻsishi, xizmatning ixtisoslashuvi, kadrlar tanqisligi va mahalliylashtirish 1950–1965-yillar arxiv hujjatlari asosida tahlil qilinadi. Miqdoriy oʻsish bilan sifat orasidagi tafovut, ayniqsa qishloq va togʻli tumanlarda, tor mutaxassislar va oʻrta tibbiyot ta'limida ochiq koʻrsatiladi. Rasmiy oʻsish tarmoq va moliya boʻyicha asosli boʻlgani, ammo uni odam bilan toʻldirish ortda qolgani asoslanadi.

This study evaluates the impact of transitioning from FP64 to 8-bit floating-point (FP8 E4M3) for image reconstruction using autoencoders. To address energy and memory constraints in edge computing, w…

This study evaluates the impact of transitioning from FP64 to 8-bit floating-point (FP8 E4M3) for image reconstruction using autoencoders. To address energy and memory constraints in edge computing, we apply Post-Training Quantization with dynamic scaling (range 448). Although quantization increases Mean Squared Error slightly, perceptual quality remains acceptable. Memory use per parameter drops by 87.5%, drastically reducing computational load while preserving utility. The findings confirm that low-precision formats enable efficient AI deployment on resource-limited devices, allowing embedded vision systems to operate with significantly lower energy overhead