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В статье рассматривается проблема автоматического обнаружения, классификации и индексирования афоризмов в текстовых корпусах. Задача анализируется на основе моделей обнаружения фрагментов текста, клас…

В статье рассматривается проблема автоматического обнаружения, классификации и индексирования афоризмов в текстовых корпусах. Задача анализируется на основе моделей обнаружения фрагментов текста, классификации предложений и ранжирования в рамках НЛП и интерпретируется как сложная задача типа «needle-in-the-haystack». Она основана на том, что для обнаружения афоризмов следует использовать комбинацию графико-пунктуационных, количественных, лексико-морфологических, синтаксических, семантических, прагматических и стилистических индикаторов; процесс представлен в виде четырехэтапного конвейера, состоящего из поиска кандидатов, оценки, разметки и ранжирования. Также рассматривается необходимая для узбекского языка инфраструктура предварительной обработки (нормализация, токенизация, лемматизация, POS-тегирование, синтаксический анализ зависимостей) на основе существующих лингвистических ресурсов (BBPOS, узбекский UD-корпус).

The deposit allows the reproduction of the statistical results reported. The data collection script is further available upon request.

In Europe, sugar production mainly relies on sugar beet as the primary input. The main by-products orresidues are produced during the manufacturing process are: molasses and pressed beet pulp. Thechar…

In Europe, sugar production mainly relies on sugar beet as the primary input. The main by-products orresidues are produced during the manufacturing process are: molasses and pressed beet pulp. Thecharacteristics of these residues, such as their water content, can vary depending on how they are usedsubsequently. For this data publication, several literature sources were consulted to identify the mostcommon residue types and compile a list of relevant residue factors. An average value was then calculatedfor these factors and multiplied by the amount of sugar beet consumed in the sugar plant. All plant potentialsare aggregated from NUTS-3 to NUTS-0 values for the EU27 countries. All literature used, as well as the dataand estimated numbers, are indicated in the biomass potential CSV. The dataset is based on desk research for primary data on sugar beet consumption or sugar production.Limitations arise due to the type of company data available. Not all companies publish their data or the yearto which it refers. Therefore, the year of the state of research was used as the reference year, but the actualyear of reference can be different. If data from several years was found, the most recent year was used. Allbiomass potentials are given in terms of fresh matter, since as this is the basis for the feedstock usercalculating further treatment steps or transportation costs. If several plants were in one NUTS entity, thevalues were aggregated. If no information on a given plant was found, its biomass potential is not reflectedin the NUTS entity and is indicated in the column with the header “COMPLETE”. Another limitation is thetiming of the sugar campaigns. Usually, a sugar campaign runs from September to January. Numbers areusually given for one year or as a daily number. This makes correct calculations more difficult. Therefore, theused year is always the start of the campaign, and an average campaign length for the EU was used tocalculate the yearly residue value, based on the most recent CEFS statistics. All the data on biomass potential is provided in the corresponding CSV file. A detailed overview of theavailable data and sources is provided in the metadata file for this dataset. The work was done within the project SURFsUp. The project is supported by the Circular Bio-based EuropeJoint Undertaking and its members under Grant Agreement No. 101157586 and UKRI Grant Agreement No.10115826.

Maqola o‘zbek tilidagi olmoshlarning referensial xususiyatlari va diskursdagi kommunikativ vazifalari tahlil qilinadi. Olmoshlarning matn birliklari o‘rtasidagi semantik bog‘lanishni…

Maqola o‘zbek tilidagi olmoshlarning referensial xususiyatlari va diskursdagi kommunikativ vazifalari tahlil qilinadi. Olmoshlarning matn birliklari o‘rtasidagi semantik bog‘lanishni ta’minlash, diskurs mavzusini davom ettirish va kommunikativ tejamkorlikni yuzaga keltirishdagi roli yoritiladi. Shuningdek, kishilik, ko‘rsatish va o‘zlik olmoshlarining anaforik xususiyatlari hamda o‘zbek tiliga xos pro-drop hodisasining referensni shakllantirishdagi o‘rni ko‘rib chiqiladi. Olmoshlarning referensial tabiati ularni matn va diskurs yaxlitligini ta’minlovchi muhim vosita sifatida baholash imkonini beradi.

NovaFabric is a self-hosted, open-source toolkit that captures, replays, diffs, and audits AI-agent and model runs as portable, secret-redacted, signed evidence capsules. It runs entirely in the user'…

NovaFabric is a self-hosted, open-source toolkit that captures, replays, diffs, and audits AI-agent and model runs as portable, secret-redacted, signed evidence capsules. It runs entirely in the user's own infrastructure, from a laptop to a cluster, with no accounts and no telemetry.It is built around five primitives — Asset Registry, Run Capsule, Replay, Lineage, and Evidence Bundle — and four honest replay modes (forensic, mocked, semantic, exact). Evidence bundles verify offline using only sha256sum and an ed25519 verifier, with no NovaFabric installation required.Interoperates with established specifications rather than inventing formats: OpenTelemetry GenAI semantic conventions, in-toto/DSSE, RFC 3161 timestamping, W3C PROV, OpenLineage, and CycloneDX.

Mazkur maqolada tijorat banklarida investitsion loyihalarni moliyalashtirish samaradorligini oshirishning zamonaviy mexanizmlari ilmiy-amaliy jihatdan tahlil qilindi. Keng koʻlamli investitsiya dastur…

Mazkur maqolada tijorat banklarida investitsion loyihalarni moliyalashtirish samaradorligini oshirishning zamonaviy mexanizmlari ilmiy-amaliy jihatdan tahlil qilindi. Keng koʻlamli investitsiya dasturlari, sanoatni modernizatsiya qilish, infratuzilma va energetikani rivojlantirish bank tizimi oldiga faqat an'anaviy garovga asoslangan kreditlash orqali hal etib boʻlmaydigan vazifalarni qoʻymoqda. Tadqiqotning maqsadi — investitsion loyihalarni moliyalashtirishning zamonaviy mexanizmlarini aniqlash va ularni Oʻzbekiston Respublikasi tijorat banklarida qoʻllash yoʻnalishlarini asoslash. Maqolada tahlil va sintez, qiyosiy va tarkibiy tahlil, tizimli yondashuv hamda ilmiy manbalar va Oʻzbekiston Respublikasi Markaziy banki statistik ma'lumotlarini umumlashtirish usullari qoʻllanildi. Tadqiqot natijalari kredit portfelining barqaror oʻsishiga qaramay, investitsion kreditlash samaradorligi uzoq muddatli resurslar tanqisligi, xorijiy valyutadagi kreditlar ulushining yuqoriligi va garovga asoslangan yondashuvning ustunligi bilan cheklanayotganini koʻrsatdi. Loyihaviy moliyalashtirish, sindikatlashgan va xalqaro moliya institutlari bilan birgalikda kreditlash, davlat-xususiy sheriklik, «yashil» moliyaviy vositalar hamda loyihalarni baholash va monitoring qilishning raqamli texnologiyalarini uygʻun qoʻllash eng yuqori samara berishi asoslab berildi.

Wheat starch production relies on wheat grains as the primary source of biomass, which is processed usingwet milling. Several by-products and residues appear during the manufacturing process: middling…

Wheat starch production relies on wheat grains as the primary source of biomass, which is processed usingwet milling. Several by-products and residues appear during the manufacturing process: middlings, bran,wheat gluten and wastewater. For this dataset, average values from the literature have been used toestimate the value of each by-product and residue. The manufacturing process and delivery plan of eachplant can affect the residues. For example, whether or not bran is produced depends heavily on contractswith suppliers or feedstock providers. Several literature sources were consulted to identify the most common residue types and compile a list ofrelevant wheat-to-residue factors. An average value was then calculated for these factors and multiplied bythe amount of wheat consumed during starch processing. If only the amount of produced starch wasavailable, the amount of wheat consumed would be calculated based on an average value from the literature.The characteristics of these residues, such as their water content, can vary depending on manyenvironmental factors, as well as how they are subsequently used. Nevertheless, the biomass potential isgiven in terms of fresh matter, as this is the basis for feedstock user for calculating further treatment stepsor transportation costs. All plant potentials are aggregated into a single NUTS-3 to NUTS-0 value for EU27countries. The corresponding CSV file indicates all the literature used, as well as the data and estimatednumbers. The dataset is based on desk research and primary data on wheat consumption and starch production.Limitations arise due to the type of company data that is available. Not all companies publish their data, nordo they always specify the year to which it refers. Therefore, the year in which the research was conductedwas used as the reference year, but the actual reference year can differ. If data from several years was found,the most recent year was used. If several plants were in one NUTS entity, the values were aggregated. If noinformation on for a production sites was found, its biomass potential is also not reflected in the NUTSpotential and is indicated in the column with the header “COMPLETE”. If the value in this column is false,then the biomass potential value can be understood as a minimum value. Wheat starch is usually producedthroughout the year, since storing wheat grain is not problematic. All the data on biomass potential is provided in the corresponding CSV file. A detailed overview of theavailable data and sources is provided in the metadata file for this dataset. The work was done within the project SURFsUp. The project is supported by the Circular Bio-based EuropeJoint Undertaking and its members under Grant Agreement No. 101157586 and UKRI Grant Agreement No.10115826.