Showing 2,981 - 3,000 results of 21,342 for search '(( significant risk decrease ) OR ( significant decrease decrease ))', query time: 0.52s Refine Results
  1. 2981

    Sociodemographic characteristics of the sample. by Senay Yildirim-Kahriman (22693464)

    Published 2025
    “…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. Regression analysis revealed that CAM scores were significantly predicted by academic year, being in the normal Body Mass Index (BMI) spectrum, and by having attended an oncology course (R² = 0.142; p < 0.001), whereas CAM-MYCS scores were predicted by academic year and high BMI values (R² = 0.072; p < 0.001). …”
  2. 2982

    Means scores of CAM and CAM-MYCS. by Senay Yildirim-Kahriman (22693464)

    Published 2025
    “…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. Regression analysis revealed that CAM scores were significantly predicted by academic year, being in the normal Body Mass Index (BMI) spectrum, and by having attended an oncology course (R² = 0.142; p < 0.001), whereas CAM-MYCS scores were predicted by academic year and high BMI values (R² = 0.072; p < 0.001). …”
  3. 2983

    Accuracy and loss values of each model. by Hongwei Bai (1447999)

    Published 2025
    “…This dual-channel configuration captures both global and local features, decreases parameter redundancy, and reduces overfitting risk. …”
  4. 2984

    Model parameter indicators. by Hongwei Bai (1447999)

    Published 2025
    “…This dual-channel configuration captures both global and local features, decreases parameter redundancy, and reduces overfitting risk. …”
  5. 2985

    Classification of bearing data labels. by Hongwei Bai (1447999)

    Published 2025
    “…This dual-channel configuration captures both global and local features, decreases parameter redundancy, and reduces overfitting risk. …”
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