Showing 1 - 8 results of 8 for search '(( significant ((gender decrease) OR (mean decrease)) ) OR ( significantly predicted decrease ))~', query time: 0.58s Refine Results
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    Supplementary file 1_Predicting HIV self-testing intentions among Chinese college students: a dual-model analysis integrating health belief constructs and machine learning prioriti... by Yan Jiang (12139)

    Published 2025
    “…Random forest modeling prioritized these psychological constructs (mean decrease Gini >2.5), identifying male students and arts majors as critical subpopulations requiring targeted intervention.…”
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    Table 2_Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.docx by Supriya Raghav (21412907)

    Published 2025
    “…No significant correlations were observed between cost reduction and socioeconomic factors, gender, or age, suggesting the broad applicability of the 3E model.…”
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    Table 1_Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.xlsx by Supriya Raghav (21412907)

    Published 2025
    “…No significant correlations were observed between cost reduction and socioeconomic factors, gender, or age, suggesting the broad applicability of the 3E model.…”
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    Data Sheet 1_Characteristics of cardiopulmonary exercise capacity in adults with different degrees of obesity.pdf by Shukun Deng (20583833)

    Published 2025
    “…</p>Results<p>There was no statistical significance in gender composition, age, height, and exercise habit of the five groups of participants (P > 0.05). …”
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    Summertime bedroom overheating in un-airconditioned UK urban apartments: factors influencing subjective and objective sleep outcomes by Iuliana Hartescu (1249374)

    Published 2025
    “…Change scores for each outcome (BL minus HN) were then entered as dependent in 4 separate linear regression models each with maximum bedroom temp (<sup>o</sup>C), age (years), gender (M/F) and FIRST scores as independent.</p><p dir="ltr">Results: Night-time (22.00-07.00) bedroom temperatures rose significantly during HN (range BL = 17.5-26.4°C; HN = 22.0-29.3°C, p<0.001) with thermal comfort (p<0.001), ‘restfulness’ (p<0.001) and TST (p<0.05) significantly decreasing, while heat-related sleep disturbance significantly increased (p<0.001). …”
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