Search alternatives:
significantly improved » significantly increased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
improved decrease » improved urease (Expand Search), marked decrease (Expand Search)
significantly improved » significantly increased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
improved decrease » improved urease (Expand Search), marked decrease (Expand Search)
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1901
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1902
Baseline characteristics of the participants.
Published 2024“…Our accessible, non-invasive model serves as a tool that can accurately diagnose the labor-intensive LS tests using only visual assessments, streamlining LS detection and expediting treatment initiation. This significantly improves patient outcomes and marks a crucial advancement in digital health, addressing key challenges in management and care of LS.…”
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1903
Internal validation by cross-validation.
Published 2024“…Our accessible, non-invasive model serves as a tool that can accurately diagnose the labor-intensive LS tests using only visual assessments, streamlining LS detection and expediting treatment initiation. This significantly improves patient outcomes and marks a crucial advancement in digital health, addressing key challenges in management and care of LS.…”
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1904
Multiscale QM/MM Simulations Identify the Roles of Asp239 and 1‑OH···Nucleophile in Transition State Stabilization in Arabidopsis thaliana Cell-Wall Invertase 1
Published 2025“…The 1-OH···nucleophile interaction has been found to provide an important contribution to the transition state stabilization, with a contribution of ∼7 kcal/mol, and affected glycosylation more significantly than deglycosylation. This study provides molecular insights that improve the current understanding of sucrose binding and hydrolysis in members of clan GH-J, which may benefit protein engineering research. …”
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1905
Descriptive data for the pBT-child dyads.
Published 2025“…<div><p>Autism spectrum disorder (ASD) is a condition with growing prevalence that results in significant healthcare spending, reduced parent income, high levels of family stress, and decreased quality of life (QoL). …”
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1906
CFQL-2 descriptive statistics.
Published 2025“…<div><p>Autism spectrum disorder (ASD) is a condition with growing prevalence that results in significant healthcare spending, reduced parent income, high levels of family stress, and decreased quality of life (QoL). …”
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1907
Focused operations to improve the patient flow in full-service healthcare organisations
Published 2025“…Our findings reveal that blending simple and complex care processes lowers flow efficiency while segmenting them into either high-volume, low-variety (focused) and low-volume, high-variety (general) significantly improves productivity. Our framework serves as a tool for healthcare managers to define strategic directions, evaluate operational focus, and implement streamlined operations. …”
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1908
This is the data correction file.
Published 2024“…The dietary salt intake was significantly improved and was statistically different between groups (P = 0.035).…”
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1909
Flow diagram of participants.
Published 2024“…The dietary salt intake was significantly improved and was statistically different between groups (P = 0.035).…”
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1910
Demographic and baseline characteristics.
Published 2024“…The dietary salt intake was significantly improved and was statistically different between groups (P = 0.035).…”
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1911
The change of urine sodium excretion (Una).
Published 2024“…The dietary salt intake was significantly improved and was statistically different between groups (P = 0.035).…”
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1912
The change of blood pressure.
Published 2024“…The dietary salt intake was significantly improved and was statistically different between groups (P = 0.035).…”
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1913
<b>Metabolic Improvements with Tirzepatide in Lipodystrophy: A Novel Option?</b>
Published 2025“…We have recently shown that glucagon-like peptide-1 agonists are associated with metabolic improvements in FPLD. Here we hypothesize that tirzepatide, a dual incretin, may also lead to metabolic improvement in patients with lipodystrophy. …”
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1914
Engineering an Electrospun Composite Ureteral Stent Based on PLGA with Antibacterial Properties and Tailored Mechanical Strength
Published 2025“…SEM and tensile analyses were used to analyze the mat’s morphology and mechanical properties, and significant improvement in the three-layered mat’s mechanical properties with LDH and chitosan was demonstrated. …”
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1915
The overall framework of CARAFE.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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1916
KPD-YOLOv7-GD network structure diagram.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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1917
Comparison of different pruning rates.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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1918
Comparison of experimental results at ablation.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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1919
Result of comparison of different lightweight.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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1920
DyHead Structure.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”