Showing 1,141 - 1,160 results of 3,298 for search '(( significant linear decrease ) OR ( significantly ((better decrease) OR (greater decrease)) ))', query time: 0.43s Refine Results
  1. 1141
  2. 1142

    Distribution of Pre-existing Medical Conditions. by Sepideh Hejazi (16227860)

    Published 2025
    “…</p><p>Results</p><p>Initial clinical presentations differed significantly, eneralized Estimating Equations (GEE) analysis, adjusted for comorbidities, revealed COVID-19 history was associated with increased platelet counts <i>(P</i> = 0.0311) and decreased facial swelling <i>(P</i> = 0.049) and fever symptom reporting <i>(P</i> < 0.001). …”
  3. 1143
  4. 1144

    Accuracy test results. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  5. 1145

    Experiment environment and parameter. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  6. 1146

    Test results for NME and FR. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  7. 1147

    DARTS algorithm process. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  8. 1148

    Comparison result of memory usage. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  9. 1149

    LKA model structure. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  10. 1150

    Test results on different datasets. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  11. 1151

    Comparison result of memory usage. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  12. 1152

    Residual configuration. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  13. 1153

    Test results for P, R, F1, and OA. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  14. 1154

    Schematic diagram of DARTS-VAN model structure. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  15. 1155

    DARTS-VAN model unit search process. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  16. 1156

    A summary of calibration standards (n = 3). by Ewa Paszkowska (21246702)

    Published 2025
    “…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
  17. 1157

    The observed MRM reactions. by Ewa Paszkowska (21246702)

    Published 2025
    “…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
  18. 1158

    Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

    Published 2025
    “…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
  19. 1159

    Table 1_Prognostic significance of fibrinogen levels in sepsis-associated acute kidney injury: unveiling a nonlinear relationship and clinical implications.docx by Manqin Chen (20129541)

    Published 2024
    “…Nevertheless, its significance as a prognostic marker for sepsis-associated acute kidney injury (SA-AKI) remains uncertain. …”
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