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  1. 1561

    Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability by Agate Jarmakovica

    Published 2025-07-01
    “…The methodology involved a comprehensive data preprocessing workflow, including data acquisition, cleaning, and exploratory analysis using established Python tools. …”
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  2. 1562
  3. 1563

    Exploring the Interplay of Broad Money Growth, Financial Expansion, and Digital Connectivity: Implications for Economic Growth Across Developed, Developing, and Emerging Economies by Tryson Yangailo

    Published 2025-01-01
    “…Using World Bank data and employing Jamovi for statistical analysis, the research applies descriptive statistics, correlation analysis, and regression analysis to uncover the relationships among these variables. …”
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  4. 1564
  5. 1565

    ASSESSMENT OF THE VEGETATION COVER CONDITIONS FOR THE CENTRAL PART OF THE MURMANSK REGION BASED ON FIELD AND REMOTE SENSING DATA by Michael Puzachenko, Tatyana Chernenkova

    Published 2012-09-01
    “…Research of the forest ecosystems dynamics of northwestern Russia on the Kola Peninsula (the Imandra Lake watershed) under the influence of strong anthropogenic impacts caused by the industrial complex “Severonikel” over the last 70 years was carried out. Statistical analysis was used for comparison and interpolation of field data, multispectral remote sensing data (MRSD), and digital elevation model (DEM). …”
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  6. 1566
  7. 1567

    Evaluation of porosity, permeability, and reservoir quality of the Asmari Formation using sedimentary facies and diagenesis data in the Ahvaz oil field by Akbar Heidari, Narges Shokri, Milad Faraji

    Published 2024-09-01
    “…In this study, porosity data and their relationship with depositional and diagenetic environments were examined in the Ahvaz oilfield. …”
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  8. 1568
  9. 1569

    Global research trends in seismic landslide: A bibliometric analysis by Mengjie Yang, Shenghua Cui, Tao Jiang

    Published 2025-01-01
    “…In the research methods of earthquake-induced landslides, there is a gradual shift from ''experience, theory'' to ''data-driven''. This study can provide researchers in this field with information on the core research forces, evolving hot topics, and future development trends of earthquake-induced landslides.…”
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  10. 1570

    Activities and projects of the Bibliographical Data Working Group (DARIAH-EU) by J. M. Łubocki, E. Herden, D. Siwecka

    Published 2021-07-01
    “…In the presentation two projects are described in detail: 1. the report “An analysis of the current bibliographic data landscape in the humanities: Bibliodata curation, research, and collaboration; 2. …”
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  11. 1571

    An augmented GSNMF model for complete deconvolution of bulk RNA-seq data by Shaoyu Li, Su Xu, Xue Wang, Nilüfer Ertekin-Taner, Duan Chen

    Published 2025-03-01
    “…Performing complete deconvolution analysis for bulk RNA-seq data to obtain both cell type specific gene expression profiles (GEP) and relative cell abundances is a challenging task. …”
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  12. 1572
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  14. 1574

    Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

    Published 2024-05-01
    “…A web interface has been developed to automate the analysis of new data using constructed machine learning models used to conduct regression analysis to create a binary logistic model (prediction based on collected data of people with socially significant diseases) and a multiclass classification models (prediction based on collected data, which it is the disease that can be detected in a person). …”
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  15. 1575

    Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

    Published 2024-12-01
    “…The study applies a Random Forest classification model trained on over 140,000 simulated machining datasets, incorporating techniques like Operational Modal Analysis (OMA), Receptance Coupling Substructure Analysis (RCSA), and Transfer Learning (TL) to adapt the model for real-world operational data. …”
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  16. 1576

    Do Academics' Views on Leadership Align with the Literature, and How Does This Impact Their Teaching of Widening Participation Students? by Ian Fellows

    Published 2025-04-01
    “…The original interviews aimed to explore the most effective ways academics can support students in developing leadership capability. For this article, the author revisited the digital recordings of those original interviews and conducted an interpretive reanalysis of the data. …”
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  17. 1577

    Do Academics' Views on Leadership Align with the Literature, and How Does This Impact Their Teaching of Widening Participation Students? by Ian Fellows

    Published 2025-04-01
    “…The original interviews aimed to explore the most effective ways academics can support students in developing leadership capability. For this article, the author revisited the digital recordings of those original interviews and conducted an interpretive reanalysis of the data. …”
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    Article
  18. 1578
  19. 1579

    Effects of US Federal Reserve Monetary Policies on Financial Markets and Commodity Prices: An Econometric Analysis with a Structural Break for Developed and Developing Countries by Hatıra Sadeghzadeh Emsen

    Published 2021-12-01
    “…In this study, the effects of the US Federal Reserve’s (Fed) interest and quantitative easing (QE) policies on stock markets, exchange rates, and commodity prices were examined applying structural break time series analysis methods using the data of 17 countries for the January 2003–January 2021 period. …”
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  20. 1580

    The Development of Ethnoscience in Chemistry Learning in Indonesia: A Bibliometric Analysis of Literacy and Cultural Relevance by Vika Puji Cahyani, Dewiyanti Fadly

    Published 2024-12-01
    “…This study uses a bibliometric technique and is quantitative descriptive in nature. he stages include Selection of Topic and Research Objectives, Data Collection, Data Cleaning and Processing, Data Analysis, Data Visualisation, Interpretation and Discussion. …”
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