Showing 6,441 - 6,460 results of 17,946 for search 'significantly ((((larger decrease) OR (a decrease))) OR (teer decrease))', query time: 0.41s Refine Results
  1. 6441

    Image 1_Caffeine on the mind: EEG and cardiovascular signatures of cortical arousal revealed by wearable sensors and machine learning—a pilot study on a male group.jpeg by Shabbir Chowdhury (22246345)

    Published 2025
    “…Although systolic and diastolic BP showed a non-significant upward trend, HR decreased significantly after caffeine intake (77 ± 5.3 bpm to 72 ± 2.5 bpm, p = 0.027). …”
  2. 6442

    Table 1_Molecular, biofilm and motility characterization of Acinetobacter baumannii isolated from a neonatal intensive care unit at a children’s hospital in South China.xlsx by Zelin Yu (22500707)

    Published 2025
    “…Twitching motility was markedly reduced in ST1959 and also decreased after levofloxacin exposure.</p>Conclusion<p>This NICU outbreak was driven by CRAB ST195 harboring a conserved resistome. …”
  3. 6443

    Supplementary Material for: Hemispherotomy for Drug-Resistant Epilepsy in a Low-resource Setting: Surgical Outcomes and Quality of Life in 23 Children Treated in a Hybrid Program i... by figshare admin karger (2628495)

    Published 2025
    “…Conclusion: Hemispherotomy for DRE in select children is a safe and effective surgery in a public children’s hospital in a low-resource setting. …”
  4. 6444

    Shape rescue in the midface phenotype in the Dp(16)1Yey/ <i>Ripply3</i><sup><i>tm1b</i></sup> compound mutant. by José Tomás Ahumada Saavedra (22290934)

    Published 2025
    “…In light blue, the structures with no significant changes. On the left, the histogram of every point distance evaluated (in this case, more than 1.238.684 points) and the surface differences with the color code for the increase-decrease dimensions (Red to green).…”
  5. 6445

    Data Sheet 1_A circular tri-trophic system incorporating plants, fish, and insects turns waste into a resource: case study with the cultivation of cucumber.docx by Efi Levizou (21298322)

    Published 2025
    “…Conversely, CAP resulted in a decline in nutrient levels in irrigation water relative to HP and DCAP, which led to significantly decreased leaf concentrations of potassium and phosphorus (2.5 and 1.5 times lower than HP, respectively, by the end of the experiment). …”
  6. 6446

    Table 1_A national framework for transition to precision medicine.docx by Samaneh Karimi Esboei (20623664)

    Published 2025
    “…The statistical sample of the study comprised PM specialists, researchers, and patients whose PM plays a significant role in their diagnosis and treatment. …”
  7. 6447
  8. 6448

    Assessing Quality of Referrals to a Community-Based Chronic Pain Clinic by Angela Mailis (19960223)

    Published 2024
    “…Half of the non-resubmitted referrals could have been accepted if the referring provider had sent in the missing information.</p> <p>A significant number of referrals to our pain clinic (primarily from PCPs) are rejected for mainly avoidable reasons. …”
  9. 6449

    Thermodynamic parameters. by Jianqing Jia (21001506)

    Published 2025
    “…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”
  10. 6450
  11. 6451

    Primers used for real-time qPCR. by Eloise Parry-Nweye (7548998)

    Published 2025
    “…The results show that the infectivity of aerosolized Phi6 in air decreased by ≥ 1 log<sub>10</sub> as the relative humidity (RH) increased from 25% to 75% but then increased by ≥ 1 log<sub>10</sub> as the RH further increased to 85%, resulting in a characteristic V-shape curve which varied with exposure time. …”
  12. 6452

    IDA flowchart. by Jun Zhao (59250)

    Published 2025
    “…This offers a scientific foundation for designing and constructing prefabricated shear walls.…”
  13. 6453

    Numerical simulation model. by Jianqing Jia (21001506)

    Published 2025
    “…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”
  14. 6454

    Reliability and failure probability. by Jianqing Jia (21001506)

    Published 2025
    “…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”
  15. 6455

    Benchmark regression results. 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. …”
  16. 6456

    Heterogeneity test. 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. …”
  17. 6457

    S1 File - 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. …”
  18. 6458

    The robustness test. 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. …”
  19. 6459

    Mechanistic testing. 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. …”
  20. 6460

    Descriptive statistics of variables. 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. …”