Showing 1 - 20 results of 363 for search '(( child a decrease ) OR ( ai ((large decrease) OR (((larger decrease) OR (marked decrease)))) ))', query time: 0.41s Refine Results
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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    Characterizing suboptimal child passenger safety practices in crashes with fatalities: Child, driver, vehicle, neighborhood, and policy factors by Arthi S. Kozhumam (14176683)

    Published 2025
    “…There was a decrease in suboptimal child passenger safety practices with increasing vehicle model year, COI level, fines, and law scores. …”
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    Descriptive data for the pBT-child dyads. by Madalina Ciobanu (2504683)

    Published 2025
    “…<div><p>Autism spectrum disorder (ASD) is a condition with growing prevalence that results in significant healthcare spending, reduced parent income, high levels of family stress, and decreased quality of life (QoL). …”
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    Arrangement of PHC facilities in a woreda NoCs. by Gizachew Tadele Tiruneh (8407686)

    Published 2025
    “…</p><p>Conclusion</p><p>The NoCs approach in Ethiopia has proven effective in enhancing the relational elements, care coordination, and quality of primary health care services, leading to better maternal and child health outcomes. The findings expand the existing body of research on NoCs implementation best practices and further confirm that it provides a scalable model for strengthening health services in low-resource settings.…”
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