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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significantly high » significantly higher (Expand Search), significantly change (Expand Search), significantly less (Expand Search)
high decrease » slight decrease (Expand Search), high degree (Expand Search), high disease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significantly high » significantly higher (Expand Search), significantly change (Expand Search), significantly less (Expand Search)
high decrease » slight decrease (Expand Search), high degree (Expand Search), high disease (Expand Search)
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2521
Image_2_High-fat diet mouse model receiving L-glucose supplementations propagates liver injury.JPEG
Published 2024“…D- and L-Glu supplementations showed significant decrease of Glycogenesis (low GYS2/PYGL ratio) and unchanged p-AKT pattern compared to their RD counterparts.…”
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2522
Image_2_High-fat diet mouse model receiving L-glucose supplementations propagates liver injury.JPEG
Published 2024“…D- and L-Glu supplementations showed significant decrease of Glycogenesis (low GYS2/PYGL ratio) and unchanged p-AKT pattern compared to their RD counterparts.…”
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2523
Supplementary Material for: High serum phosphate promotes cognitive impairment in uremia rats via mediating vascular calcification
Published 2025“…Moreover, Pi treatment significantly increased the calcium and MDA content in VSMCs, and ALP and Runx2 expressions, STP addition reversed these changes, indicating high phosphate level induced VC development. …”
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2524
Climate is more influential to vegetation green-up than factors that contribute to erosion following high-severity wildfire
Published 2025“…In <a>highly erodible</a> scenarios, when accounting for growing season climate, coefficient of variation for year-of-fire precipitation, total precipitation, and soil erodibility decreased greenness in the fifth year. …”
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2525
Data for the paper: Physiological responses to ultra-high CO<sub>2</sub> levels in an evergreen tree species
Published 2025“…Photosynthesis significantly increased at 6000 ppm. In summary, ultra-high CO<sub>2</sub> may partly compensate for limited water availability.…”
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2526
Data Sheet 1_Metabolomics analysis of aqueous humor from patients with high-myopia complicated nuclear cataract.pdf
Published 2025“…Univariate and multivariate analyses were performed to identify differential metabolites with potential biological significance.</p>Results<p>For HMnC patients, the level of glutathione was decreased, whereas arginine, tyrosine, and tryptophan were more abundant in AH. …”
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2527
Data Sheet 2_Metabolomics analysis of aqueous humor from patients with high-myopia complicated nuclear cataract.pdf
Published 2025“…Univariate and multivariate analyses were performed to identify differential metabolites with potential biological significance.</p>Results<p>For HMnC patients, the level of glutathione was decreased, whereas arginine, tyrosine, and tryptophan were more abundant in AH. …”
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2528
Tailoring Ionic Conductivity of Polymeric Ionic Liquid Block Copolymers through Morphology Control
Published 2025“…The principal reason for the depressed ionic conductivity of lamellar phases at intermediate-to-strong segregation strength is defects that disrupt the long-range continuity of ionic domains, and a secondary reason is the elevated glass transition temperature (<i>T</i><sub>g</sub>) of the PIL domains due to the high-<i>T</i><sub>g</sub> nonionic domains. Transport-blocking defects are reduced by decreasing the molecular weight to achieve a weakly segregated state or by increasing the molecular weight to suppress diffusion and trap a morphology with only short-range order. …”
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2529
Defect-Triggered Reversible Phase Transformation for Boosting Electrochemical Performance of Coordination Polymers
Published 2024“…However, CP-SCs face the daunting challenge of maintaining high pseudocapacitance after long-term charge/discharge cycling. …”
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2530
Defect-Triggered Reversible Phase Transformation for Boosting Electrochemical Performance of Coordination Polymers
Published 2024“…However, CP-SCs face the daunting challenge of maintaining high pseudocapacitance after long-term charge/discharge cycling. …”
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2531
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2532
Supplementary Material for: High-sensitivity Troponin I Measurement in a Large Contemporary Cohort: Implications for Clinical Care
Published 2025“…Male sex, higher HDL-C, higher Hgb A1c, decreasing eGFR, and increasing systolic blood pressure were significant predictors of increased hsTnI. …”
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2533
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2534
Data Sheet 1_Mechanical property changes of glial LC and RGC axons in response to high intraocular pressure.docx
Published 2025“…Therefore, changes in mechanical properties of LC with the duration of high IOP is of great significance.</p>Methods<p>To investigate the impact of chronic high IOP on the mechanical properties of the LC, rat models were established by cauterizing the superior scleral vein and injecting 5-fluorouracil (5-FU) under the conjunctiva to maintain elevated IOP. …”
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2535
Supplementary Material for: High expression of tetraspanin CD63 predicts poor prognosis in esophageal squamous cell carcinoma
Published 2025“…Results: Overall survival was significantly worse in the CD63 high group (P=0.031, log-rank test). …”
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2536
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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2537
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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2538
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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2539
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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2540
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. …”