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  3. 783

    Donor funding for newborn survival: an analysis of donor-reported data, 2002-2010. by Catherine Pitt, Joy E Lawn, Meghna Ranganathan, Anne Mills, Kara Hanson

    Published 2012-10-01
    “…We recommend that those tracking funding for other specific population groups, diseases, or activities consider a key term search approach in the Creditor Reporting System along with a detailed review of their data, but that they develop their search terms and interpretations carefully, taking into account the limitations described. …”
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    Article
  4. 784

    Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools by A. V. Vankevich, I. N. Kalinouskaya

    Published 2024-12-01
    “…Machine learning, big data analysis and modeling were used as tools. The results of the study can be used to improve labor market management strategies, as well as to develop employment policies and programs focused on modern challenges and opportunities of the digital economy.…”
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  5. 785

    ANALYSIS OF A SMALL SAMPLE OF EXPERIMENTAL DATA IN THE MANAGEMENT OF GAS CONSUMPTION IN THE REGION by A. M. Kumaritov, A. E. Dzgoev, R. B. Sharibov

    Published 2018-03-01
    “…Analysis of a small sample of experimental data on gas consumption population, allowing to make the right decisions for forecasting of gas consumption in the management of gas supply to the region. …”
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    Article
  6. 786

    The Effects of Information Communication Technologies on Human Capital: A Panel Data Analysis by Gökçen Aydınbaş, Zeynep Erdinç

    Published 2023-12-01
    “…This study aims to investigate the effects of information and communication technologies on human capital with the panel data analysis method. Annual data based on the 2000-2019 period for 10 countries selected among the emerging economies were used in the study. …”
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  7. 787

    Teaching Quantitative Data Analysis with GNU PSPP: A Cognitive Apprenticeship Approach by Joanna Pitura

    Published 2024-11-01
    “…The paper concludes with a brief evaluation of the course, showing that this approach works well for supporting students throughout the course and for enabling them to transition towards conducting quantitative data analysis using software in their own MA research projects. …”
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    Article
  8. 788

    Dataset for Traffic Accident Analysis in Poland: Integrating Weather Data and Sociodemographic Factors by Łukasz Faruga, Adam Filapek, Marta Kraszewska, Jerzy Baranowski

    Published 2025-06-01
    “…To investigate the underlying factors contributing to these accidents, we developed a multifactorial dataset integrating 250,000 accident records from 2015 to 2023 with spatially interpolated weather data and sociodemographic indicators. …”
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    TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis by Masahiro Ono

    Published 2025-02-01
    “…The development and implementation of effective data preprocessing methods remain to be achieved. …”
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    Article
  11. 791

    SCNT: an R package for data analysis and visualization of single-cell and spatial transcriptomics by Jianbo Qing, Jialu Wu, Yafeng Li, Junnan Wu

    Published 2025-07-01
    “…The SCNT (Single-Cell, Single-Nucleus, and Spatial Transcriptomics Analysis and Visualization Tools) package was developed to address these challenges by providing an efficient and user-friendly tool for processing, analyzing, and visualizing SC and ST data. …”
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  12. 792

    Analysis of Digital Skills and Infrastructure in EU Countries Based on DESI 2024 Data by Kvitoslava Obelovska, Andrii Abziatov, Anastasiya Doroshenko, Ivanna Dronyuk, Oleh Liskevych, Rostyslav Liskevych

    Published 2025-05-01
    “…The value of this indicator can be used to assess the readiness of the EU economy for technological leaps that place extremely high demands on reliability and data transmission delays. The results of the current state and the analysis of digital skills and infrastructure contribute to understanding the potential for the future development of the EU digital economy.…”
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  13. 793

    Primary disability of children in the Astrakhan region: analysis of statistical data for 2018-2022 by A. A. Antonova, E. B. Starodubova, A. A. Svetlichkina, S. I. Stepanova, E. O. Bobyr

    Published 2024-05-01
    “…Background. Analysis of the regional specifics of primary childhood disability for the targeted development of preventive measures.Materials and methods. …”
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    Article
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    Mixed Inverse Gaussian Analysis of Covariance for Censored Data: A Bayesian Approach by Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholamhossein Yari

    Published 2025-01-01
    “…This paper proposes a model for analysis of covariance (ANCOVA) of censored data obtained from a positively skewed population by using the mixed inverse Gaussian (MIG) distribution. …”
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  16. 796

    Assessment of electrical properties of rocks based on velocity analysis of electromagnetic CDP data by Gulevich Oxana, Volkomirskaya Liudmila, Kaygorodov Eugene

    Published 2025-02-01
    “…An algorithm for estimating the specific electrical resistance of rocks has been developed based on the velocity analysis of the method of reflected electromagnetic waves data obtained using various offset distance between the receiver and transmitter - electromagnetic CDP (ECDP). …”
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  17. 797

    Investment in Innovation and its Influence on Net Sales: An Analysis Based on PINTEC Data by Tatielle Menolli Longhini, Joyce Mariella Medeiros Cavalcanti, Sergio Louro Borges, Bruno Pérez Ferreira

    Published 2018-01-01
    “…The analysis were developed through regressions of panel data with fixed effects, according to Hausman test, and the definition of large scale sectors was based on the median of net sales. …”
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  18. 798

    Application of Deep Learning Methods for Employee Satisfaction Analysis Based on Text Data by A. A. Kazinets

    Published 2025-06-01
    “…The application of deep learning methods to analyze employee satisfaction based on text data is investigated. A critical review of existing approaches to assessing employee satisfaction is conducted, and the need to use natural language processing methods and deep neural networks is substantiated. …”
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