Comparison of experimental results at ablation. حسب 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. …"

Result of comparison of different lightweight. حسب 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. …"

DyHead Structure. حسب 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. …"

The parameters of the training phase. حسب 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. …"

Structure of GSConv network. حسب 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. حسب 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. حسب 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. …"

Trends of HIV/AIDS in Ethiopia (1990-2021). حسب Tegene Atamenta Kitaw (17930374)

"…Mortality rates rose from 14.2 per 100,000 in 1990 to 79.7 in 2000 but decreased to 13.6 by 2021, with an AAPC of -1.19%. …"

Minigene assay of rare missense VUS in exon 10. حسب Elina Mercier (22311151)

"…All of the tested variants significantly increase exon 10 skipping except for c.1061T > C; p.Leu354Pro which decreased skipping. …"

Delta <i>CC</i> heatmap. حسب Curtis Chepsiror (21368103)

RMSF. حسب Curtis Chepsiror (21368103)

AMP binding free energy calculations and per-residue decomposition of holo and PfIleRS-SANC systems. حسب Curtis Chepsiror (21368103)

Fig 9 - BC. حسب Curtis Chepsiror (21368103)

Changes to the host transcriptome during infection. حسب Stefan Bresson (20623940)

"…The heatmap shows the most significantly decreased transcripts (by <i>p</i>-value). …"

Fig 10 - EC. حسب Curtis Chepsiror (21368103)

Unraveling the Effects of Epigallocatechin-3-gallate on Hepatocellular Carcinoma Cells: A Comparative Analysis of Monolayer vs Multicellular Tumor Spheroids حسب Mariana dos Reis Simpronio (21876938)

"…The cell culture condition influenced EGCG effects on gene expression and cell viability, with more significant effects in monolayer than in MTS. After 15 days, control MTS showed cellular dissociation, whereas EGCG-treated MTS showed decreased cell viability and no growth. …"

Translation efficiency of a replication-incompetent cap0 reporter YFV genome is reduced in mosquito cells. حسب Anja vom Hemdt (19787189)

Microbiome-host genetic association. حسب Tamizhini Loganathan (18538349)

"…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …"

Summary description of the samples. حسب Tamizhini Loganathan (18538349)

"…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …"

Flowchart of the suggested SOA. حسب Ahmed A. Zaki Diab (12757190)

"…<div><p>Recent research has concentrated on emphasizing the significance of incorporating renewable distributed generations (RDGs), like photovoltaic (PV) and wind turbines (WTs), into the distribution system to address issues related to distributed generation (DG) allocation. …"