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  1. 5821

    The effectiveness of blended learning technologies in higher education: Assessment methodology by N. V. Bordovskaia, E. A. Koshkina, M. A. Tikhomirova, M. P. Iskhakova

    Published 2023-09-01
    “…The concept and methodology of studying the blended learning technologies effectiveness is a component of quality management concept of higher education in the context of its digital transformation and its resource-didactic provision. The authors’ methodology not only reflects current trends in improving the objectivity of pedagogical assessment, but also replenishes its scientific and methodological arsenal with the addition of a multi-level system of goals, criteria and methods for determining the effectiveness of blended learning technologies in higher education.Practical significance. …”
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    Article
  2. 5822

    Managerial Challenges in Digital Health: Bibliometric and Network Analysis by Quentin Garçon, Benjamin Cabanes, Cédric Denis-Rémis

    Published 2025-06-01
    “… BackgroundDigital health has emerged as a transformative force in modern health care systems; these systems have witnessed a surge in technological innovations and solutions over the past 2 to 3 decades. …”
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    Article
  3. 5823

    Substitution and Overlap: The Relationship Between User Digitization and Service Accessibility in Public Cultural Participation by WANG Yuanming, WANG Xueli

    Published 2025-02-01
    “…[Purpose/Significance] The ongoing digital transformation has led to significant changes in public cultural services, particularly in content generation, communication channels, and modes of public participation. …”
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    Article
  4. 5824

    The Aboveground Biomass Estimation of the Grain for Green Program Stands Using UAV-LiDAR and Sentinel-2 Data by Gaoke Yueliang, Gentana Ge, Xiaosong Li, Cuicui Ji, Tiancan Wang, Tong Shen, Yubo Zhi, Chaochao Chen, Licheng Zhao

    Published 2025-04-01
    “…Key variables such as tasseled cap greenness (TCG), red-edge normalized difference vegetation index (RENDVI), and visible-band difference vegetation index (VDVI) were identified as highly important. …”
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    Article
  5. 5825

    Metabolic Fingerprinting of Blood and Urine of Dairy Cows Affected by Bovine Leukemia Virus: A Mass Spectrometry Approach by Dawid Tobolski, Grzegorz Zwierzchowski, Roman Wójcik, Klevis Haxhiaj, David S. Wishart, Burim N. Ametaj

    Published 2024-11-01
    “…Metabolomic analysis conducted at −8 and −4 weeks prepartum revealed significant metabolic differences between BLV-infected and healthy cows. At −8 weeks, 30 serum metabolites were altered, including sphingomyelins, lysophosphatidylcholines, amino acids, and acylcarnitines, suggesting disruptions in membrane integrity, energy metabolism, and immune function indicative of early neoplastic transformations. …”
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  6. 5826

    Comparative Proteomics of Two Flor Yeasts in Sparkling Wine Fermentation: First Approach by Juan C. García-García, Teresa García-Martínez, Juan J. Román-Camacho, Juan Moreno, Juan C. Mauricio

    Published 2025-01-01
    “…The traditional method is considered the highest-quality sparkling wine making technique. …”
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    Article
  7. 5827

    THE EFFECTIVENESS OF THE DEVELOPMENT OF TERRITORIES IN THE STATE REGIONAL SYSTEM POLITICIANS by Natallia Gavkalova, Ludmila Avedyan, Oleksandr Akimov, Liudmyla Akimova, Victoria Belyavtseva

    Published 2023-08-01
    “…And therefore, at the current stage of global transformations, they are expedient and permanently improve, as current practice shows approaches to managing the development of domestic territories. …”
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    Article
  8. 5828

    Artificial Intelligence-Assisted Segmentation of a Falx Cerebri Calcification on Cone-Beam Computed Tomography: A Case Report by Julien Issa, Alexandre Chidiac, Paul Mozdziak, Bartosz Kempisty, Barbara Dorocka-Bobkowska, Katarzyna Mehr, Marta Dyszkiewicz-Konwińska

    Published 2024-12-01
    “…In conclusion, further research is needed to improve AI-driven methods for accurately identifying and measuring intracranial calcifications. …”
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    Article
  9. 5829

    Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach by Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades

    Published 2025-07-01
    “…This study contributes to the ongoing research on AI-assisted diagnostic tools in mental health by providing insights into the efficacy of different model architectures and data balancing methods.…”
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    Article
  10. 5830

    Transplantation of Human Amniotic Membrane over the Liver Surface Reduces Hepatic Fibrosis in a Cholestatic Model in Young Rats by M. Garrido, C. Escobar, C. Zamora, C. Rejas, J. Varas, C. Córdova, C. Papuzinski, M. Párraga, S. San Martín, S. Montedonico

    Published 2018-01-01
    “…After surgery, animals were sacrificed at different weeks. Biochemical and histopathological analyses of liver tissue were performed. …”
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    Article
  11. 5831
  12. 5832

    Identification and analysis of S-genotypes in 23 new pear cultivars by WANG Yanan, ZHANG Xiangzhan, WANG Suke, SU Yanli, WANG Long, XUE Huabai

    Published 2025-03-01
    “…The distribution of different S-genes among the tested pear cultivars was not uniform. …”
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  13. 5833
  14. 5834

    Analyzing collaboration dynamics in new drug R&D: A case study of two lipid-lowering drugs by Nan Zhang, Huaqing Guo, Mengchao Zhang, Chen Wang, Ruonan Tian, Yan Shi, Zhiguang Duan, Zhiguang Duan

    Published 2025-05-01
    “…Academic institutions, pharmaceutical firms, hospitals, foundations, and various other entities across different sectors are now joining forces more frequently to accelerate new drug innovation. …”
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    Article
  15. 5835

    ADVANTAGES OF PRODUCT QUALITY MANAGEMENT BASED ON CORPORATE INFORMATION SYSTEMS FOR THE GROWTH OF THE AI ECONOMY by Aiperi S. Kachkanbaeva, Kamoliddin T. Juraev, Yury A. Tikhomirov, Svetlana A. Kalitko, Olesya K. Pakhomova

    Published 2025-03-01
    “…The methodological basis of the research is formed by the multidisciplinary and system approaches, which allow combining theoretical and conceptual views of the research problem, which are realised in different scientific spheres: information theory, digital transformation, quality management, theory of organisation, and economic theory. …”
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  16. 5836

    A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study by Guilherme Cassales, Serajis Salekin, Nick Lim, Dean Meason, Albert Bifet, Bernhard Pfahringer, Eibe Frank

    Published 2025-05-01
    “…At the same time, the practice of patient science to investigate and understand different intricate climate-driven phenomena is no longer an option. …”
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    Article
  17. 5837

    YES‐associated protein‐regulated Smad7 worsen epithelial barrier injury of chronic sinusitis with nasal polyps by Xiaocong Jiang, Longlan Shu, Yijun Liu, Yang Shen, Xia Ke, Jie Liu, Yucheng Yang

    Published 2023-06-01
    “…Methods Patients were divided into CRSwNP group (n = 12) and control group (n = 9). …”
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  18. 5838

    Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

    Published 2025-12-01
    “…Machine learning (ML) models offer potential, but their real-world utility depends on their performance stability across different years. This ability, known as temporal transferability, is often overestimated by standard validation methods, creating a gap between theoretical performance and operational reliability. …”
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  19. 5839

    BIOMARKERS ROLE IN THE DEVELOPMENT OF SINUS NODE DYSFUNCTION by L. M. Vasilets, A. V. Tuev, O. V. Khlynova, V. V. Vustina, E. A. Ratanova

    Published 2012-04-01
    “…Material and methods. The study included 83 individuals: 63 patients with SND (the main group) and 20 controls. …”
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  20. 5840

    Protective role of oleic acid against palmitic acid-induced pancreatic fibrosis by Sonia Frendi, Anaïs Chassac, Killian Veron, Jérôme Raffenne, Rémy Nicolle, Miguel Albuquerque, Valérie Paradis, Anne Couvelard, Jérôme Cros, Vinciane Rebours

    Published 2025-04-01
    “…Both OA and PA are involved in the initiation of acinar cell transformation into ductal cells. OA was found to have a protective effect against PA-induced fibrosis (p < 0.05). …”
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    Article