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Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandem…

Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandemie. Basierend auf Meldungen aller intensivbettenführenden Krankenhäuser in Deutschland erfasst das DIVI-Intensivregister Echtzeitdaten zu belegten und freien Intensivbetten. Die Erhebung differenziert nach Altersgruppen, Regionen und Versorgungsstufen. COVID-19-Fälle auf Intensivstationen werden gesondert ausgewiesen. Die Daten stehen aggregiert auf Bundes-, Landes- und Kreisebene zur Verfügung. Damit bildet der Datensatz eine Grundlage für die Überwachung von Kapazitäten, die Koordination von Behandlungskapazitäten und politische Entscheidungsprozesse während der Pandemie und darüber hinaus.

This dataset supports the article “Hardware-encoded modality separation for multimodal sensing and artificial perception.” The dataset contains raw sensor measurements and processed contin…

This dataset supports the article “Hardware-encoded modality separation for multimodal sensing and artificial perception.” The dataset contains raw sensor measurements and processed continuous wavelet transform (CWT) tensors used to evaluate hardware-encoded separation of strain and temperature signals and deep learning-based object classification. The main classification dataset consists of 2,400 raw measurements collected from eight object classes using three independently fabricated sensor devices over ten measurement days. The record also includes raw and processed data from 150 motorized external-test measurements and 90 processed samples from the independent contact-position variation test. The one-, two-, and three-channel CWT tensors used for the main classification and channel-ablation analyses can be generated from the raw CSV files using the provided preprocessing scripts. The generated NumPy arrays have a spatial size of 96 × 256, with one, two, or three sensor channels. The sensor values are digitized sensor outputs reported in arbitrary units. Detailed descriptions of the archives, folder structure, filenames, preprocessing procedure, and data usage are provided in DATASET_README.md. A versioned snapshot of the preprocessing, training, evaluation, benchmarking, and real-time inference code is included in this Zenodo record. The code is also available at: https://github.com/FabioCannavaro/Piezo_Decoupling The dataset is distributed under the Creative Commons Attribution 4.0 International license (CC BY 4.0).

Cette étude évalue les impacts des financements intérieur et extérieur concessionnel sur la soutenabilité du financement du déficit budgétaire du Mali …

Cette étude évalue les impacts des financements intérieur et extérieur concessionnel sur la soutenabilité du financement du déficit budgétaire du Mali sur la pérode 2021 - 2025. Dans un contexte post-sanctions marqué par un accès limité au financement extérieur concessionnel, l’Etat malien s’est massivement tourné vers le marché intérieur plus coûteux. A partir d’une enquête auprès de 14 gestionnaires publics du ministère de l’économie et des finances du Mali et d’une modélisation économétrique,  les résultats montrent que le modèle de régression est globalement significatif  F (2,11) = 12,85% ; P = 0,001 < 0,05 et explique 62,90% de la variance du taux du service de la dette publique R^2 = 0,629. L’analyse des coefficients révèle que le recours accru au financement intérieur contribue significativement à l’alourdissement du service de la dette publique : β1= 1,850 ; Bêta = 0,740 ; t = 4,210 ; p = 0, 001 < 0,05. De même, le recul du financement extérieur concessionnel prive l’Etat d’une ressource budgétaire à moindre coût et aggrave la contrainte de liquidité : β2= -2,100 ; Bêta = -0,355 ; t = -2,020 ; p = 0, 058 < 0,10. L’étude recommande une combinaison optimale des sources de financement, une mobilisation forte des recettes et un retour à la concessionnalité pour préserver la soutenabilité budgétaire.

This paper explores the rational ground and theological basis of difference of opinion, in the inerpretation of Islamic laws and the impact it makes on making new laws. This study finds that it is qui…

This paper explores the rational ground and theological basis of difference of opinion, in the inerpretation of Islamic laws and the impact it makes on making new laws. This study finds that it is quite natural to have different interpretations, but their must be reasoning and rationality behind it, only the subjective opinions should not prevail. This very fact, provides flexibility, it should not be stand for rigidity. 

В статье представлены результаты исследования особенностей эмоционального состояния детей младшего школьного возраста по результатам проективного рисунка «Дом–Дерево–Человек». …

В статье представлены результаты исследования особенностей эмоционального состояния детей младшего школьного возраста по результатам проективного рисунка «Дом–Дерево–Человек». В исследовании приняли участие 50 детей. Анализ рисунков проводился по единой системе критериев с выделением эмоционально благоприятных показателей, умеренно выраженных признаков эмоционального напряжения, выраженных признаков тревожности или напряжения и признаков внутреннего эмоционального неблагополучия. Установлено, что эмоционально благоприятные показатели выявлены у 36% детей, умеренно выраженные признаки эмоционального напряжения — у 34%, выраженные признаки тревожности или напряжения — у 20%, признаки внутреннего эмоционального неблагополучия — у 10%. При анализе отдельных компонентов методики наиболее высокая доля благоприятных показателей выявлена в рисунке «Дерево» (48%), несколько ниже — в рисунках «Дом» (44%) и «Человек» (40%). Выраженные признаки чаще отмечались в рисунке «Человек» (22%). Полученные результаты указывают на неоднородность эмоциональных показателей в исследуемой группе. Методика «Дом–Дерево–Человек» может рассматриваться как дополнительный источник психологической информации при комплексном изучении эмоционального состояния детей, однако выявленные показатели требуют осторожной интерпретации и сопоставления с результатами других методов психологического исследования

This dataset contains the author-generated research materials supporting the article “Governing Lunar Resource Demonstrations: Public Procurement, Policy Learning and Unresolved Rights.” I…

This dataset contains the author-generated research materials supporting the article “Governing Lunar Resource Demonstrations: Public Procurement, Policy Learning and Unresolved Rights.” It includes a source register, documentary-event inventory, claim-to-evidence schedule, policy-options metadata, and accompanying documentation. The materials support a qualitative legal-policy analysis of NASA’s lunar-regolith procurement initiative, related Japanese and Luxembourg authorisations, selected national legal frameworks, and international space-resource governance instruments. Copyrighted full-text scholarly and institutional materials are not redistributed; original sources remain available from the publishers and public institutions identified in the accompanying documentation.

ОШҚОЗОН ВА ЎН ИККИ БАРМОҚЛИ ИЧАК ЯРАСИ АСОРАТЛАРИ – ҚОН КЕТИШЛАРДА ЖАРРОҲЛИК ТАКТИКАСИНИ ТАНЛАШНИ ОПТИМАЛЛАШТИРИШ. ² Mavlonov Abduqahhor Xudoyberdiyevich, ¹ Xursanov Yoqubjon Erkin o&l…

ОШҚОЗОН ВА ЎН ИККИ БАРМОҚЛИ ИЧАК ЯРАСИ АСОРАТЛАРИ – ҚОН КЕТИШЛАРДА ЖАРРОҲЛИК ТАКТИКАСИНИ ТАНЛАШНИ ОПТИМАЛЛАШТИРИШ. ² Mavlonov Abduqahhor Xudoyberdiyevich, ¹ Xursanov Yoqubjon Erkin o‘g‘li, ³ Xidirov Muzaffar Sultonazarovich, ⁴ Mirzaboyev Abdurazzoq Mamirovich, ⁵ Karayev Muzrob Nuraliyevich ¹ Samarqand davlat tibbiyot universiteti 2-son xirurgik kasalliklar kafedrasi dotsenti, ² Toyloq tumani tibbiyot birlashmasi markaziy shifoxonasi bosh shifokori, ³ Respublika shoshilinch tibbiy yordam ilmiy markazi Samarqand filiali shifokori, ⁴ Respublika shoshilinch tibbiy yordam ilmiy markazi Samarqand filiali shifokori, ⁵ Respublika shoshilinch tibbiy yordam ilmiy markazi Samarqand filiali shifokori. https://doi.org/10.5281/zenodo.22977403 Аннотация: Ушбу илмий ишда гастродуоденал ярадан қон кетиш (ГДЯК) ҳолатларини жарроҳлик йўли билан даволашдаги замонавий тактик ва техник ёндашувларнинг аҳамияти ва самарадорлиги таҳлил қилинган. ГДЯК қорин бўшлиғи шошилинч жарроҳлигидаги жиддий муаммолардан бири бўлиб, беморларнинг ўлими юқори даражада сақланиб қолмоқда. Тахминан 20–25% ҳолларда бирламчи эндоскопик усуллар билан қон кетишни тўхтатишга эришилмайди ва жарроҳлик аралашуви талаб этилади.Ваготомия каби органни сақлайдиган усуллар ГДК (гастродуоденал қон кетишлар)ни самарали даволашда асосий ўринни эгаллайди. Эндоскопик ва мини-инвазив аралашувларнинг клиник амалиётда кенг қўлланиши жарроҳлик кўрсатмаларини аниқлашда муҳим аҳамият касб этади.Тадқиқот натижаларига кўра, замонавий технологик ёндашувлар ва органни сақловчи операциялар қон кетишни самарали тўхтатиш, асоратларни камайтириш ва беморларнинг яшаш прогнозини яхшилашда муҳим омил ҳисобланади. Калит сўзлар: гастродуоденал ярали қон кетиш; эндоскопик гемостаз; гибрид жарроҳлик; лапароскопия; Форрест таснифи; қон кетишнинг қайталаниши.

With the era of open AI (Artificial Intelligence) and its contribution to the massive technological boom. One of its results is the great development in building virtual agents, or chatbots, which are…

With the era of open AI (Artificial Intelligence) and its contribution to the massive technological boom. One of its results is the great development in building virtual agents, or chatbots, which are essentially applications of machine learning algorithms and large language models. Recently, the use of chatbots has begun to dominate some websites of commercial, educational, and health institutions, as their presence has contributed to the development of these institutions due to the characteristics that chatbots have, such as being available 24/7 and user friendly, thus reducing costs for these institutions instead of providing human customer service. Our project faced many obstacles and difficulties. One of the major barriers we faced was that we tried to use one of the major cloud services Microsoft Azure.Unfortunately, a regional limitation to their services and our country Iraq was not on the list of the countries that can access their newly launched AI services. There are numerous ways to reach and achieve our goal and vision for the final project but as engineers, we must choose the best way which must be cost effective , open source software and easy to implement for other programmers for educational purposes. This project presents a chatbot "Esaalni", a general-use chatbot same as the likes of ChatGPT and Google's Gemini based on the power of open AI (Google's Gemini Pro) and the Python library LangChain, which is an open source framework used to create AI-powered agents (chatbots) with a variety of large language models (LLM) integrations and tools supported by vector databases. Google's Gemini Pro LLM model, in addition to Open AI LLM model, were chosen as it was the easiest to implement in our use case. The Python library for hosting data science web applications, Streamlit, was used to make and host the user interface of this application in the cloud. They had amazing and easy-to-use APIs (Application programming interfaces) for LLM (Large Language Models) chatbot cases.

A systematic framework for quantum algorithm development covering 20 scientific problem domains with standardized maturity gates, automated validation, resource estimation pipelines, and Azure Quantum…

A systematic framework for quantum algorithm development covering 20 scientific problem domains with standardized maturity gates, automated validation, resource estimation pipelines, and Azure Quantum integration. Problems are held to explicit maturity gates rather than assumed to pass them: 9 problems are at Stage C, 8 remain at Stage B, and 3 have reached Stage D. All 20 have real Azure Quantum Resource Estimator profiles (1,746 to 754,715 physical qubits), and all 20 calibration ensembles carry valid statistics bound to hashes of the Q# sources they ran. No problem currently demonstrates quantum advantage on available hardware, and 11 of the 20 were downgraded on I/O bottlenecks, quadratic-only speedups or no proven speedup. Implements 10 algorithm families (VQE, QAOA, Grover, HHL, Shor, amplitude estimation, swap test, QEC, quantum walk, Trotter simulation) using the modern Microsoft QDK (qsharp 1.31.0, no .NET dependency); the hardware kernels of the five VQE problems have since been replaced by quantum phase estimation. Also includes a deployed evaluation service that routes a natural-language problem description to one of four verdicts using a deterministic rule set rather than model judgement, a paper classifier measured for over-claim rate against a labelled corpus, and generated Q# that is compiled and resource-estimated before it is reported. Includes cross-problem comparison dashboard, per-problem detail pages with charts, and embedded README documentation.