Мазкур мақолада каротид ва коронар артерияларнинг қўшма (комбинирланган) атеросклеротик зарарланиши бўлган беморларда церебоваскуляр реактивликни (ЦВР) комплекс баҳолаш ва математик моделлаштириш нати…
Мазкур мақолада каротид ва коронар артерияларнинг қўшма (комбинирланган) атеросклеротик зарарланиши бўлган беморларда церебоваскуляр реактивликни (ЦВР) комплекс баҳолаш ва математик моделлаштириш натижалари келтирилган. Тадқиқотга атеросклероз билан оғриган 90 нафар бемор (3 гуруҳ: яккаланган каротид атеросклероз — 30 та; яккаланган коронар атеросклероз — 30 та; қўшма каротид ва коронар атеросклероз — 30 та) ҳамда таққослаш гуруҳи сифатида 25 нафар нисбатан соғлом шахс киритилди. Барча текширилувчиларга транскраниал дуплекс сканирлаш (ТКДС) ёрдамида ўрта мия артериясида (ЎМА) асосий қон оқими тезлиги, нафасни ушлаб туриш индекси, вазомотор реактивлик (ВМР, %), пулсатив индекс (ПИ), шунингдек уйқу артериялари дуплекс сканирлаши ва коронар артериялар ҳолатини баҳолаш (мултиспирал компютер томографик ангиография / коронарография) ўтказилди.
KGCL-Java is an implementation of the Knowledge Graph Change Language (KGCL) specification for the Java language. It provides a Java library to manipulate KGCL changes and a ROBOT pluggable command to…
KGCL-Java is an implementation of the Knowledge Graph Change Language (KGCL) specification for the Java language. It provides a Java library to manipulate KGCL changes and a ROBOT pluggable command to parse and apply KGCL changes to a OWL ontology.
Version 0.6.3 fixes a bug that caused the --kgcl-yaml option of the ROBOT kgcl:apply command to be inoperative.
Evaluating Federated continual learning for heart failure risk prediction: a simulation study
September, 2026 • Dataset
P, Senthil Kumar
This study evaluates federated continual learning for heart failure risk prediction under changing clinical data conditions. Using a simulated 12-month, five-site dataset, it compares attention-based …
This study evaluates federated continual learning for heart failure risk prediction under changing clinical data conditions. Using a simulated 12-month, five-site dataset, it compares attention-based continual learning with FedAvg, FedProx, linear, and replay-based approaches. The findings show that apparent benefits of continual-learning components can largely disappear when baseline models receive comparable training budgets, highlighting the importance of fair baseline comparisons when evaluating federated clinical prediction methods.
International Clinical and Medical Case Reports Journal
June, 2022 • Journal • International Clinical and Medical Case Reports Journal
Bibek Kumar Mandal, Ali Asger Nakib, Arvind Kumar Suman, Adel W Ekladious, Adeyinka Adebayoet al.
International Clinical and Medical Case Reports Journal (ISSN: 2832-5788)(ISSN ) International Clinical and Medical Case Reports Journal (ISSN: 2832-5788) (DOI Prefix: 10.5281) (Impact Factor: 3.192) …
International Clinical and Medical Case Reports Journal (ISSN: 2832-5788)(ISSN ) International Clinical and Medical Case Reports Journal (ISSN: 2832-5788) (DOI Prefix: 10.5281) (Impact Factor: 3.192) NLM ID: [9919053437306676](https://www.ncbi.nlm.nih.gov/nlmcatalog/497826) Authors Funded by the NIH: This journal automatically deposits papers to PubMed Central after publication of an issue (NIHMS, http://nihms.nih.gov/) ISI Indexed Journal Please contact us for any more details. International Clinical and Medical Case Reports Journal (ISSN: 2832-5788) is an international, Peer-reviewed, Open Access Mega Journal devoted to publish the qualitative Clinical and Medicalcases and up-to-date ongoing trends in the related field of journal in both medical and clinical disciplines. This journal make every effort to establish itself as an stupendous source of information to scholars, academicians, and students every day across the world.
L'audit interne public fiscal et le contrôle fiscal au sein de l'administration publique malienne : enjeux, défis et perspectives
September, 2026 • Publication • Journal of Economics, Finance and Management (JEFM) - ISSN: 2958-7360
Adama KANE
Cette étude analyse les impacts de l’efficacité de l’audit interne public fiscal et de l’efficacité du contrôle fiscal sur le taux de réalisation de…
Cette étude analyse les impacts de l’efficacité de l’audit interne public fiscal et de l’efficacité du contrôle fiscal sur le taux de réalisation des recettes fiscales au sein de l’administration publique malienne pour l’année 2024. A partir d’une enquête menée auprès de 16 inspecteurs des impôts et des douanes du Mali et d’une modélisation économétrique, les résultats montrent que le modèle de régression est globalement significatif F (2,13) = 16,45% ; P = 0,001 < 0,05 et explique 68% de la variance du taux de réalisation des recettes fiscales R^2 = 0,68. L’analyse des coefficients révèle que l’efficacité de l’audit interne public fiscal a un effet positif et significatif sur le taux de réalisation des recettes fiscales : β1= 0,480 ; Bêta = 0,4350 ; t = 2,34 ; p = 0, 036 < 0,05. De même, l’efficacité du contrôle fiscal exerce un effet positif et significatif : β2= 0,510 ; Bêta = 0,412 ; t = 2,21 ; p = 0, 045 < 0,05. Au regards des résultats, l’étude recommande de renforcer les moyens de l’audit interne public fiscal, la formation des contrôleurs fiscaux pour sécuriser les recettes de l’Etat et la digitalisation des procédures fiscales afin de sécuriser et d’optimiser le recouvrement des recettes fiscales.
DIGITAL TOOLS FOR DEVELOPING STUDENTS' MUSICAL CREATIVITY IN HIGHER EDUCATION
September, 2026 • Journal article • JOURNAL OF ARTS AND HUMANITIES
Jalilov, Farrukh
This article examines the pedagogical potential of digital technologies in developing students’ musical creativity in higher education. The study focuses on digital audio resources, music notati…
This article examines the pedagogical potential of digital technologies in developing students’ musical creativity in higher education. The study focuses on digital audio resources, music notation software, interactive learning platforms, multimedia materials and creative digital projects as instruments for improving students’ musical knowledge and practical skills. Particular attention is given to the development of independent learning, musical perception, creative thinking and collaborative activities. The analysis demonstrates that the purposeful integration of digital tools into music education can create additional opportunities for individual learning trajectories and creative self-expression. At the same time, digital technologies should complement rather than replace traditional forms of musical activity, including performance, listening, singing and collective music-making.
music education, digital technologies, musical creativity, digital tools, higher education, independent learning, interactive learning, music notation software
ПРОБЛЕМА НРАВСТВЕННОГО ВЫБОРА И ХУДОЖЕСТВЕННЫЙ КОНФЛИКТ В НОВЕЛЛЕ ПРОСПЕРА МЕРИМЕ «МАТЕО ФАЛЬКОНЕ»
September, 2026 • Publication • CENTRAL ASIAN JOURNAL OF ACADEMIC RESEARCH
Гайбуллаева, Зарифа
cтатья посвящена исследованию проблемы нравственного выбора и художественного конфликта в новелле Проспера Мериме «Маттео Фальконе». Рассматриваются поступок Фортунато, его нравственная мо…
cтатья посвящена исследованию проблемы нравственного выбора и художественного конфликта в новелле Проспера Мериме «Маттео Фальконе». Рассматриваются поступок Фортунато, его нравственная мотивация и реакция Маттео Фальконе на предательство сына. Особое внимание уделяется роли художественной детали, диалога, композиции и лаконичной повествовательной манеры Мериме в создании напряжения. Анализ показывает, что материальный соблазн, поступок Фортунато и решение Маттео образуют систему нравственных противопоставлений. Финальная сцена раскрывает проблемы личной ответственности, чести, долга и верности.
Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland
September, 2026 • Dataset
Robert Koch-Institut
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.
COVID-19SARS-CoV-2Beatmung, künstlicheIntensivstationenIntensivstationen für Neugeborene
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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