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  1. 15981

    The impact of using self-report versus objective measures of cardiometabolic conditions in epidemiologic research: a case study from India using data from the longitudinal aging st... by Emma Nichols, Peifeng Hu, David E. Bloom, Jinkook Lee, Jinkook Lee, T. V. Sekher

    Published 2025-07-01
    “…Future studies may seek to quantify the magnitude of anticipated bias in existing data resources and use quantitative bias analysis to formally estimate the potential implications of misclassification.…”
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  2. 15982
  3. 15983

    Cumulative Sum Schemes for Monitoring the Ratio of Two Correlated Normal Variables in Short Production Runs with Fixed and Variable Sampling Interval Strategies: Application in Whe... by Wei Yang, Xueting Ji, Hongxing Cai, Jiujun Zhang

    Published 2025-02-01
    “…The analysis examined the effects of parameter variations, data contamination, and data correlation on the scheme’s performance. …”
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  4. 15984

    Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES Strin... by Maciej Przybyłek, Tomasz Jeliński, Piotr Cysewski

    Published 2019-01-01
    “…The obtained HSP values are highly correlated with experimental data, and their application for solving solubility problems leads to essentially the same quality as for the original parameters. …”
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  5. 15985
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  7. 15987

    Optimal design for six-phase asymmetrical surface mount permanent magnet synchronous motor: An innovative approach considering fault tolerance and load variations for electric vehi... by Mahmoud Y. Mohamed, Ahmed Refaat, Ahmed Kalas, Ayman S. Abdel-Khalik, Shehab Ahmed, Mahmoud Fawzi

    Published 2025-02-01
    “…To effectively simulate the operational challenges in electric vehicles (EVs), data mining and clustering techniques are utilized to analyze and comprehend real-world drive cycle data. …”
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  8. 15988
  9. 15989

    Diagnosis and Management of Sexually Transmitted Infections Using Artificial Intelligence Applications Among Key and General Populations in Sub-Saharan Africa: A Systematic Review... by Claris Siyamayambo, Edith Phalane, Refilwe Nancy Phaswana-Mafuya

    Published 2025-03-01
    “…All the studies reviewed used secondary data and favored supervised ML models, with random forest and XGBoost frequently demonstrating high performance. …”
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  10. 15990
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  12. 15992

    Timing of singleton births by onset of labour and mode of birth in NHS maternity units in England, 2005-2014: A study of linked birth registration, birth notification, and hospital... by Peter Martin, Mario Cortina-Borja, Mary Newburn, Gill Harper, Rod Gibson, Miranda Dodwell, Nirupa Dattani, Alison Macfarlane

    Published 2018-01-01
    “…<h4>Method</h4>We linked data from birth registration, birth notification, and Maternity Hospital Episode Statistics and analysed 5,093,615 singleton births in NHS maternity units in England from 2005 to 2014. …”
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  13. 15993
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  16. 15996

    Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro... by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

    Published 2025-01-01
    “…However, load forecasting is restricted in the popularization and application of conventional load forecasting techniques due to the great difficulty in obtaining numerical weather prediction data at the hourly level and the requirement to conduct predictions on multiple time scales. …”
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  17. 15997
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    (Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review [version 2; peer review: 2 approved, 1 approved with rese... by Ashlee Noblin, Amanda Legate, Kim Nimon

    Published 2024-09-01
    “…The goal of the present study is to extend the automation knowledge base by synthesizing current trends in the application of extraction technologies of key data elements of interest for social scientists. …”
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