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Showing 1,101 - 1,120 results of 2,198 for search 'significantly ((((longer decrease) OR (linear decrease))) OR (larger decrease))', query time: 0.45s Refine Results
  1. 1101

    Analysis of industry linkage effects. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  2. 1102

    Analysis of peer effects. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  3. 1103

    Basic characteristics included in the study. by Juan Gu (288925)

    Published 2025
    “…</p><p>Conclusions</p><p>Our meta-analysis indicates that a shorter time since the last birth is protective against endometrial cancer, whereas a longer interval increases risk. Further research is needed to clarify the underlying mechanisms of this association. …”
  4. 1104

    Publication bias of the risk of all groups. by Juan Gu (288925)

    Published 2025
    “…</p><p>Conclusions</p><p>Our meta-analysis indicates that a shorter time since the last birth is protective against endometrial cancer, whereas a longer interval increases risk. Further research is needed to clarify the underlying mechanisms of this association. …”
  5. 1105

    Study selection process. by Juan Gu (288925)

    Published 2025
    “…</p><p>Conclusions</p><p>Our meta-analysis indicates that a shorter time since the last birth is protective against endometrial cancer, whereas a longer interval increases risk. Further research is needed to clarify the underlying mechanisms of this association. …”
  6. 1106

    Highly Sensitive and Selective Electrochemical Sensor via Cu-BTC/Au@Cu-BTC Modified Screen-Printed Electrode for the Detection of Chemical Agents by Xiaosen Li (6263651)

    Published 2025
    “…Chemical agents present significant threat to international peace, security, and human health due to their potential toxicity. …”
  7. 1107

    Principal component analysis of soil parameters. by Wasihun Mengiste (22470304)

    Published 2025
    “…The data were analyzed using the General Linear Model (GLM) procedure in SAS version 9.4. The result showed that slope gradients, soil depths, and slope gradients interacting with soil depths had very highly, highly and significant effects on selected soil parameters, exchangeable bases, and extractable micronutrients. …”
  8. 1108

    Methodological workflow used in the study. by Ajit Kumar Rudra (21647706)

    Published 2025
    “…Without proper management of watershed, these resources will soon be lost and no longer be able to play their role in socioeconomic and environmental development of the area. …”
  9. 1109
  10. 1110
  11. 1111
  12. 1112

    Evaluation results. by Briya Tariq (19666901)

    Published 2024
    “…It focuses on identifying and quantifying clinically significant materials in the presence of metal objects. …”
  13. 1113

    Dataset with steel insert. by Briya Tariq (19666901)

    Published 2024
    “…It focuses on identifying and quantifying clinically significant materials in the presence of metal objects. …”
  14. 1114

    Reference dataset. by Briya Tariq (19666901)

    Published 2024
    “…It focuses on identifying and quantifying clinically significant materials in the presence of metal objects. …”
  15. 1115

    Dataset with aluminium insert. by Briya Tariq (19666901)

    Published 2024
    “…It focuses on identifying and quantifying clinically significant materials in the presence of metal objects. …”
  16. 1116
  17. 1117
  18. 1118

    LSTM model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  19. 1119

    CNN model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  20. 1120

    Ceramic bearings. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”