Showing 61 - 80 results of 2,985 for search '(( large ((set decrease) OR (nn decrease)) ) OR ( a ((large decrease) OR (larger decrease)) ))', query time: 0.39s Refine Results
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    Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

    Published 2024
    “…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”
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    Data Sheet 1_Large language models for closed-library multi-document query, test generation, and evaluation.docx by Claire Randolph (19747105)

    Published 2025
    “…Knowledge tests need to be generated on new material and existing tests revised, tracking knowledge base updates. Large Language Models (LLMs) provide a framework for artificial intelligence-assisted knowledge acquisition and continued learning. …”
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    Characteristics of HACE respondents by year. by David Henderson (4612354)

    Published 2025
    “…</p><p>Conclusion</p><p>Satisfaction overall, and with access to GP consultations, steadily declined between 2011/12 and 2021/22, with a more pronounced decrease following the COVID-19 pandemic, particularly among the most deprived and complex patients. …”
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    Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

    Published 2024
    “…<div><p>This paper theoretically explores the propagation attenuation of normally incident P-waves on a single uncoupled joint exhibiting nonlinear deformation behavior. …”
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    Classification model parameter settings. by Chao Tang (10925)

    Published 2025
    “…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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    PCA-CGAN model parameter settings. by Chao Tang (10925)

    Published 2025
    “…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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