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  1. 2221

    Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

    Published 2024-05-01
    “…[Purpose/Significance] The purpose of this study is to provide an in-depth analysis of the widespread application of artificial intelligence (AI) technology in the field of government data governance and its far-reaching implications, with a particular focus on the core issue of algorithmic discrimination. …”
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  2. 2222

    A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles by Romdhane Nasri, Jannet Jamii, Majdi Mansouri, Zouhaier Affi, Vicenc Puig

    Published 2025-01-01
    “…These contributions advance the field of data-driven control for complex, nonlinear, large-scale systems, offering a principled alternative to traditional model-based approaches with significant practical implications for autonomous driving technologies.…”
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  3. 2223

    Integrating RS data with fuzzy decision systems for innovative crop water needs assessment by Faezeh Sadat Hashemi, Mohammad Javad Valadan Zoej, Fahimeh Youssefi, Huxiong Li, Sanaz Shafian, Mahdi Farnaghi, Saied Pirasteh

    Published 2025-02-01
    “…The NDVI, CWSI, SI, and SM variables had the highest R2 with VWC data (0.71––0.92) on all six dates. This approach has significant implications for improving irrigation management practices, reducing water waste, and increasing crop yields, which can contribute to global food security. …”
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  4. 2224

    Pelindungan Data Pribadi Anak Yang Berhadapan Dengan Hukum di Dunia Siber by Rinastiti Dwi Anggraeni, Fadilla Putri Alsabilla, Jeferson Kameo

    Published 2024-12-01
    “…This research is expected to have reformative implications and impact on judicial practices for better protection of the personal data of children in conflict with the law in cyberspace. …”
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  5. 2225

    Integration of sentinel-2 data into the SIMETAW model for assessing irrigation water requirements and evapotranspiration by Pierre Rouault, Dominique Courault, Fabrice Flamain, Guillaume Pouget, Claude Doussan, Marcel M. El Hajj, Samer K. Al-Mashharawi, Matthew McCabe, Marta Debolini

    Published 2025-08-01
    “…Water management for crop irrigation has become a major consideration given the global scale implications of climate change and its impacts on water scarcity and security, with an increasing frequency of water restrictions in many locations during the summer months. …”
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  6. 2226

    Trends and Outcomes in Sarcomatoid Renal Cell Carcinoma: Analysis of the National Cancer Data Base by Luke L. Wang, Dhruv Puri, Cesare Saitta, Franklin Liu, Jonathan A. Afari, Margaret F. Meagher, Kevin Hakimi, Mimi V. Nguyen, Aastha Shah, Saeed Ghassemzadeh, James D. Murphy, Juan Javier-Desloges, Rana R. McKay, Ithaar H. Derweesh

    Published 2025-01-01
    “…Background and objective: Our aim was to determine the clinical characteristics, temporal trends, and survival outcomes for sarcomatoid-dedifferentiated renal cell carcinoma (sRCC), as sRCC has historically had poor prognosis and a contemporary cohort has not been well characterized in a population-based study. Methods: Data for 302 630 RCC cases from 2010 to 2019 were extracted from the National Cancer Data Base, of which 4.1% (12 329) were sRCC. …”
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  7. 2227

    Data-driven prior elicitation for Bayes factors in Cox regression for nine subfields in biomedicine. by Maximilian Linde, Laura Jochim, Jorge N Tendeiro, Don van Ravenzwaaij

    Published 2025-01-01
    “…Biomedical research often utilizes Cox regression for the analysis of time-to-event data. The pervasive use of frequentist inference for these analyses implicates that the evidence for or against the presence (or absence) of an effect cannot be directly compared and that researchers must adhere to a predefined sampling plan. …”
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  9. 2229

    Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research by Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman

    Published 2024-07-01
    “…The research method used is descriptive research with a qualitative approach, where data is collected through literature studies and case studies on various quantitative studies. …”
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  10. 2230

    Human Cytomegalovirus Infection and Breast Cancer: A Literature Review of Clinical and Experimental Data by Rancés Blanco, Juan P. Muñoz

    Published 2025-02-01
    “…Among emerging risk factors, viral infections have been implicated as potential contributors to breast carcinogenesis and BC progression. …”
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  11. 2231

    New prospects of uranium mineralisation of the Trans-Urals based on regional geochemical survey data by L. A. Krinochkin, O. K. Krinochkina, V. I. Blokov

    Published 2022-08-01
    “…Besides the known Dolmatovsky and Khokhlovsky uranium ore regions, 31 AGAs with uranium specialisation were identified based on the geochemical data obtained in a well-developed and accessible site. …”
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    Genomic selection optimization in blueberry: Data‐driven methods for marker and training population design by Paul Adunola, Luis Felipe V. Ferrão, Juliana Benevenuto, Camila F. Azevedo, Patricio R. Munoz

    Published 2024-09-01
    “…Our contribution in this study is threefold: (i) for the genotyping resource allocation, the use of genetic data‐driven methods to select an optimal set of markers slightly improved prediction results for all the traits; (ii) for the long‐term implication, we carried out a simulation study and emphasized that data‐driven method results in a slight improvement in genetic gain over 30 cycles than random marker sampling; and (iii) for the phenotyping resource allocation, we compared different optimization algorithms to select training population, showing that it can be leveraged to increase predictive performances. …”
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  14. 2234

    Pathway-Specific Insights into Colorectal Cancer Through Comprehensive Multi-Omics Data Integration by Tayyip Karaman, Sinem Oktem Okullu, Günseli Bayram Akçapınar, Osman Ugur Sezerman

    Published 2025-04-01
    “…In our study, we applied multi-omics data integration for microbiome, transcriptome, and microbial pathway datasets obtained from colorectal cancer patients. …”
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    Immunological response and implications of Ad26.COV2. S (Janssen COVID-19 vaccine) vaccine in diabetic patients: a prospective cohort study in Ethiopia by Chala Kenenisa Edae, Abdisa Tufa Bedada, Maria Degef Teklemariam, Abera Botore Gudisa, Abdurahman Adamu, Solomon Genet Gebre

    Published 2025-05-01
    “…Generalized Estimating Equations (GEE) are a statistical method for modeling longitudinal or clustered data, particularly useful when dealing with non-normal data like binary or count data, by estimating parameters of a generalized linear model while accounting for potential correlations between observations.ResultsIt was found that vaccinated subjects showed significant alterations in the immune response with IgM elevation and a temporary increase of inflammatory biomarkers CRP and IL-6. …”
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