Survey-weighted association of flavonoids and six subclasses intake with MASLD. by Yuwei He (1565941)

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Survey-weighted baseline characteristic of the study population by MASLD. by Yuwei He (1565941)

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Weighted Quantile Sum model regression index weights for the MASLD. by Yuwei He (1565941)

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Association between flavonoid intakes and metabolic dysfunction-associated steatotic liver disease (MASLD) using a Restricted Cubic Spline regression model, adjusted for age, sex,... by Yuwei He (1565941)

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The flowchart of the sample selection from NHANES 2007-2010, 2017-2018. by Yuwei He (1565941)

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Results of the linear models for the amplitudes (in <i>μ</i>V) of the components P1, N1, P2, and N400. by Elena Bolt (20396190)

Group control-after intervention. by Nan Tang (642590)

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Group SFA-before intervention. by Nan Tang (642590)

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Lost cases. by Nan Tang (642590)

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Group control-before intervention. by Nan Tang (642590)

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Patient satisfaction with SFA intervention(%). by Nan Tang (642590)

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Pre-Experiment. by Nan Tang (642590)

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Group SFA-after intervention. by Nan Tang (642590)

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Thymus regeneration promotes naïve T-cell recovery in iMycTg aging-E mice and a partial decrease in Treg frequencies. by Abigail Morales-Sánchez (21799582)

IKK KO in microglia leads to increased accumulation of PK-resistant PrP <i>in vitro</i> but decreased accumulation <i>in vivo.</i> by Arielle J. D. Hay (15456341)

The figure shows that <i>R</i>₀ decreases significantly under control strategies, particularly at temperatures near the peak transmission range, indicating the effective... by Lukas Degu Petros (22097332)

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…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. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…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. …”

Improved model distillation structure. by Zhongjian Xie (4633099)

“…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. …”

Variables and generalized linear mixed models to explore PICS-F impairments. by Cristobal Padilla-Fortunatti (21376807)