يعرض 19,341 - 19,360 نتائج من 36,050 نتيجة بحث عن '(( significantly ((level increased) OR (mean decrease)) ) OR ( significant decrease decrease ))', وقت الاستعلام: 0.65s تنقيح النتائج
  1. 19341

    Statistics of algorithm operation results. حسب Qian Huang (127640)

    منشور في 2025
    "…<div><p>The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. …"
  2. 19342

    Genetic algorithm flowchart. حسب Qian Huang (127640)

    منشور في 2025
    "…<div><p>The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. …"
  3. 19343

    S1 Graphical abstract - حسب Qian Huang (127640)

    منشور في 2025
    "…<div><p>The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. …"
  4. 19344

    Cross operation. حسب Qian Huang (127640)

    منشور في 2025
    "…<div><p>The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. …"
  5. 19345

    Cost function of storage facility construction. حسب Qian Huang (127640)

    منشور في 2025
    "…<div><p>The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. …"
  6. 19346

    Convergence iteration of the algorithm. حسب Qian Huang (127640)

    منشور في 2025
    "…<div><p>The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. …"
  7. 19347

    Mutation operation. حسب Qian Huang (127640)

    منشور في 2025
    "…<div><p>The effective circulation of fresh agricultural products is conducive to increasing farmers’ income and improving the living standards of urban residents. …"
  8. 19348

    qPCR for mRNA and miRNA. حسب Tongliang Wang (12840275)

    منشور في 2025
    "…This study combined echocardiographic, transcriptomic, and metabolomic analyses to explore these relationships in high-level, average, and untrained Yili horses. Echocardiographic assessments revealed increased left ventricular mass in trained horses, with significant differences in intraventricular septal thickness and left ventricular end-diastolic diameter. …"
  9. 19349

    Yili Horse Size Data. حسب Tongliang Wang (12840275)

    منشور في 2025
    "…This study combined echocardiographic, transcriptomic, and metabolomic analyses to explore these relationships in high-level, average, and untrained Yili horses. Echocardiographic assessments revealed increased left ventricular mass in trained horses, with significant differences in intraventricular septal thickness and left ventricular end-diastolic diameter. …"
  10. 19350

    Schematic diagram of the mechanism. حسب Tongliang Wang (12840275)

    منشور في 2025
    "…This study combined echocardiographic, transcriptomic, and metabolomic analyses to explore these relationships in high-level, average, and untrained Yili horses. Echocardiographic assessments revealed increased left ventricular mass in trained horses, with significant differences in intraventricular septal thickness and left ventricular end-diastolic diameter. …"
  11. 19351

    Yili Horse 1000m Speed Race Results. حسب Tongliang Wang (12840275)

    منشور في 2025
    "…This study combined echocardiographic, transcriptomic, and metabolomic analyses to explore these relationships in high-level, average, and untrained Yili horses. Echocardiographic assessments revealed increased left ventricular mass in trained horses, with significant differences in intraventricular septal thickness and left ventricular end-diastolic diameter. …"
  12. 19352

    Descriptive statistics of variables. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  13. 19353

    Direct, indirect and total effects. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  14. 19354

    Double threshold effect. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  15. 19355

    Research frame diagram. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  16. 19356

    Threshold characteristics estimation results. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  17. 19357

    Regression results based on SDM. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  18. 19358

    Threshold regression parameter results. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  19. 19359

    Moran’s I Index from 2009 to 2020. حسب Li Yan (107001)

    منشور في 2024
    "…Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. …"
  20. 19360