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  1. 15421
  2. 15422
  3. 15423

    Theoretical and Methodological Framework of Typologization of Digital Identity by O.A. Persidskaya

    Published 2025-01-01
    “…It is shown that research optics in identifying the content parameters of this identity is often narrowed, which leads to the reduction of a complex, multi–component education – the identity of a person in the digital world – to a separate part, which is not enough to build a complex image of a modern man. …”
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  4. 15424
  5. 15425

    Exploring stroke risk factors in different genders using Bayesian networks: a cross-sectional study involving a population of 134,382 by Liqin Linghu, Yaxin Huang, Lixia Qiu, Xuchun Wang, Jia Zhang, Lin Ma, chenglian Li, Lijie Wang

    Published 2025-07-01
    “…Bayesian structure learning was achieved using the Max-Min Hill-Climbing algorithm, and parameter learning utilized maximum likelihood estimation. …”
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  6. 15426
  7. 15427

    Quality of life identification by unsupervised cluster analysis: A new approach to modelling the burden of endometriosis. by Alexandre Vallée, Maxence Arutkin, Pierre-François Ceccaldi, Jean-Marc Ayoubi

    Published 2025-01-01
    “…K-means, a major clustering algorithm, was performed to show structure in data and divide women into groups based on the burden of endometriosis. …”
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  8. 15428
  9. 15429
  10. 15430

    Advancing the deployment and information management of direct air capture: A solution enabled by integrating consortium blockchain system by Zihan Chen, Yiyu Liu, Eryu Wang, Huajie You, Qi Gao, Fan David Yeung, Jia Li

    Published 2024-12-01
    “…(Source: Investopedia) ECDSA encryption,22 Elliptic Curve Digital Signature Algorithm (ECDSA): In cryptography, the Elliptic Curve Digital Signature Algorithm (ECDSA) offers a variant of the Digital Signature Algorithm (DSA) which uses elliptic-curve cryptography. …”
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  11. 15431

    Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers by Mariah Batool, Oluwafemi Sanumi, Jasna Jankovic

    Published 2024-12-01
    “…This impact is particularly notable within the field of materials science and engineering, where artificial intelligence has catalyzed the discovery of new materials, enhanced design simulations, influenced process controls, and facilitated operational analysis and predictions of material properties and behaviors. Consequently, these advancements have streamlined the synthesis, simulation, and processing procedures, leading to material optimization for diverse applications. …”
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  12. 15432

    Transformation of Nonmultiple Cluster Music Cyclic Shift Topology to Music Performance Style by Jing Li

    Published 2021-01-01
    “…The bidirectional recurrent neural network based on Gated Recurrent Unit (GRU) is used to extract different styles of note feature vector sequences, and the extracted note feature vector sequence is used to predict the intensity of a specific style, and the intensity changes of different styles of nonmultiple cluster music are better learned. …”
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  13. 15433
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  16. 15436

    An Upscaling-Based Strategy to Improve the Ephemeral Gully Mapping Accuracy by Solmaz Fathololoumi, Daniel D. Saurette, Harnoordeep Singh Mann, Naoya Kadota, Hiteshkumar B. Vasava, Mojtaba Naeimi, Prasad Daggupati, Asim Biswas

    Published 2025-06-01
    “…This study proposes an upscaling-based strategy to refine the predictive mapping of EGs, utilizing high-resolution Pléiades Neo (0.6 m) and medium-resolution Sentinel-2 (10 m) satellite imagery, alongside ground-truth EGs mapping in Niagara Region, Canada. …”
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  17. 15437
  18. 15438

    Integrative genomic analysis and diagnostic modeling of osteoporosis: unraveling the interplay of autophagy, osteogenesis, adipogenesis, and immune infiltration by Lin-Jing Han, Jian-Zong Zhu, Jian-Zong Zhu, Hong-Cai Liu, Xiao-Sheng Lin, Xiao-Sheng Lin, Shu-Zhong Yang

    Published 2025-04-01
    “…Our study formulates a predictive diagnostic model for OP by analyzing differential gene expression, thereby improving early diagnosis and therapeutic approaches.MethodsUsing GSE62402, GSE56815, and GSE35958 datasets from the Gene Expression Omnibus (GEO) database, we identified differentially expressed genes (DEGs) via R packages, and evaluated the underlying molecular mechanisms by network analysis. …”
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  19. 15439

    Enrollment and Retention Outcomes from the Veterans Health Administration for a Remote Digital Health Study: Multisite Observational Study by Jaclyn A Pagliaro, Lauren K Wash, Ka Ly, Jenny Mathew, Alison Leibowitz, Ryan Cabrera, Jolie B Wormwood, Varsha G Vimalananda

    Published 2025-08-01
    “…Device and survey data were combined with VA clinical and utilization data to develop a predictive algorithm for clinical decompensation. The geographic distribution of enrolled patients was mapped by county. …”
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  20. 15440

    Spatially Explicit Model for Assessing the Impacts of Groundwater Protection Measures in the Vicinity of the Hranice Abyss by Jozef Sedláček, Hana Vavrouchová, Kryštof Chytrý, Ondřej Ulrich, Petra Oppeltová, Milan Geršl, Kristýna Kohoutková, Radim Klepárník, Petr Kučera, Vítězslav Vlček, Jana Šimečková, Eva Žallmannová

    Published 2024-10-01
    “…The model employs a multi-criteria decision analysis, integrated with hydrological modeling and a high-resolution random forest-based prediction algorithm, to downscale land surface temperature (LST) in order to obtain high-resolution 1 × 1 m spatial results. …”
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