Differential expression of miRNAs in SHR-SED group and BFRT group (all miRNAs). by Zhaowen Tan (12283502)

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Histogram of the GO functional enrichment of differential miRNA target genes. by Zhaowen Tan (12283502)

Subjects:

Changes in SHR body weight, hemodynamics and cardiac function before and after training. by Zhaowen Tan (12283502)

Subjects:

Table of miRNA comparisons with reference genomes. by Zhaowen Tan (12283502)

Subjects:

IDA flowchart. by Jun Zhao (59250)

“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”

Ablation test results of QIMPN-PCA-DC model. by Jun Zhao (59250)

“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”

QIMPN framework diagram. by Jun Zhao (59250)

“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”

Multiple indicator test results. by Jun Zhao (59250)

“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”

I/L type node quality entity type. by Jun Zhao (59250)

“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”

Testing function diagram of QIMPN-PCA-DC. by Jun Zhao (59250)

“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”

Node coding process. by Jun Zhao (59250)

“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”

Statistical association (P < 0.10) between background factors and dog owners’ attitude (AT), subjective norms (SN) and perceived behavioral control (PBC) that were significantly as... by Fentahun Mengie (20862454)

Subjects:

MGPC module. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Comparative experiment. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Pruning experiment. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Parameter setting table. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

DTADH module. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Ablation experiment. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Multi scale detection. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

MFDPN module. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”