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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
cause decrease » caused decreased (Expand Search), use decreased (Expand Search), causes increased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
cause decrease » caused decreased (Expand Search), use decreased (Expand Search), causes increased (Expand Search)
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20001
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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20002
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. …”
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20003
The parameters of the training phase.
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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20004
Structure of GSConv network.
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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20005
Comparison experiment of accuracy improvement.
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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20006
Improved model distillation 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. …”
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20007
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20008
Surgical changes through ISIW implantation.
Published 2025“…Pre- and postoperative data are compared by Tukey’s HSD test and asterisks mean statistical significance (p < 0.05). IOP decreases significantly from 3 to 12 months after surgery whereas GMS decreases from one day to 12 months after surgery. …”
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20009
Functional and strength parameters.
Published 2025“…An overall tendency to an increase in FF and a decrease in functional measures were observed over 2 years. …”
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20010
Prediction performance of each model.
Published 2025“…Nonsurvivors had a significantly higher time-weighted average MP (TWA-MP) than survivors. …”
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20011
Patient inclusion flow chart.
Published 2025“…Nonsurvivors had a significantly higher time-weighted average MP (TWA-MP) than survivors. …”
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20012
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20013
Inverse Simpson index (A) and richness (B) shown for the post-operative and perioperative groups.
Published 2025“…<p>Significant decreases in the Inverse Simpson index (A) were noticed between Baseline and Recheck 1 (p = 0.01 perioperative group, p = 0.04 post-operative group), as well as between Baseline and Recheck 2 (p = 0.01 perioperative, p = 0.02 post-operative) in both the perioperative and post-operative groups. …”
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20014
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20015
Characteristics of the study population.
Published 2025“…Psychological assessment revealed that emotional distress and level of concern significantly differed across resilience levels and categories of CT findings. …”
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20016
Follow up costs for incidental findings.
Published 2025“…Psychological assessment revealed that emotional distress and level of concern significantly differed across resilience levels and categories of CT findings. …”
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20017
Transcriptomic data of mature adipocytes from Dbc1 KO vs WT mice
Published 2025“…<b>(D)</b> Emapplot of the top 50 significantly enriched Gene Ontology terms (Biological Process), with increased terms in red and decreased terms in blue, in Dbc1 KO compared to Dbc1<sup>LoxP/LoxP</sup>. …”
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20018
Screening and identification of MSX1’s downstream effector genes associated with promoting HBx degradation.
Published 2025“…(C and H) HBx protein levels were quantified using densitometry scanning and signal levels in control group were normalized as 1. …”
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20019
The <i>ENT2</i> knockout effects on CRC proliferation and survival.
Published 2025“…Plating Efficiency (PE) was calculated as the ratio of the number of colonies to the number of cells seeded. PE decreased significantly in both HKO1 and HKO2. No significant difference occurred between NTC and DKO cells. …”
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20020