Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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6741
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6742
Data Sheet 1_Development and validation of a sliding type continuous passive motion automation device for evaluation and rehabilitation of frozen shoulder: a pilot study.pdf
Published 2025“…Passive stiffness in the intervention group significantly decreased in abduction (p = 0.010) and external rotation (p < 0.001). …”
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6743
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
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). …”
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6744
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
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. …”
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6745
Shape rescue in the midface phenotype in the Dp(16)1Yey/ <i>Ripply3</i><sup><i>tm1b</i></sup> compound mutant.
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).…”
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6746
<b>Metabolic Improvements with Tirzepatide in Lipodystrophy: A Novel Option?</b>
Published 2025“…Here we hypothesize that tirzepatide, a dual incretin, may also lead to metabolic improvement in patients with lipodystrophy. …”
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6747
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6748
Assessing Quality of Referrals to a Community-Based Chronic Pain Clinic
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. …”
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6749
Thermodynamic parameters.
Published 2025“…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”
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6750
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6751
Kinetic characteristics.
Published 2025“…</p><p>Conclusion</p><p>KT significantly improved abnormal ankle posture by promoting greater ankle dorsiflexion and eversion angles. …”
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6752
Raw data.
Published 2025“…</p><p>Conclusion</p><p>KT significantly improved abnormal ankle posture by promoting greater ankle dorsiflexion and eversion angles. …”
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6753
IDA flowchart.
Published 2025“…This offers a scientific foundation for designing and constructing prefabricated shear walls.…”
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6754
Numerical simulation model.
Published 2025“…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”
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6755
Reliability and failure probability.
Published 2025“…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”
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6756
Benchmark regression results.
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. …”
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6757
Heterogeneity test.
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. …”
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6758
S1 File -
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. …”
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6759
The robustness test.
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. …”
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6760
Mechanistic testing.
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. …”