Comparison of CHH methylation with varying plexing strategies. by Amy Longtin (21409957)

Comparison of percent off-target reads with varying protocol modifications. by Amy Longtin (21409957)

NMN increases SIRT3 expression at both mRNA and protein levels in the brain 6 h after cardiac arrest. by Daiki Kaito (12514087)

Table 1_Analysis of the microbiota of pregnant women in relation to weight gain during pregnancy – a pilot study.docx by Katarzyna Kosinska-Kaczynska (6794522)

“…However, in both sites none difference was found to be statistically significant after p-value correction.</p>Conclusions<p>Despite small sample size, we demonstrated slight trends in microbiota composition between groups. …”

Comparison of mapping efficiency with varying DNA input amounts. by Amy Longtin (21409957)

Comparison of probe capture with varying protocol modifications. by Amy Longtin (21409957)

NMN attenuates neuronal injury after cardiac arrest in mice. by Daiki Kaito (12514087)

Effects of head motion parameters on developmental changes of nodal entropy. by Tianyuan Lei (19683861)

Characteristics of the study participants. by Michał Wendt (17601180)

“…A significant time effect was also observed for PPT, with an increase in the right-side threshold (p = 0.0186; d = 0.58). …”

<i>lin-15b(-)</i> animals exhibit altered intestinal nuclear morphology. by Ashwin Seetharaman (615458)

Protein identification results. by Huiyang Jia (14444661)

Gene expression changes in <i>lin-15(n744)</i> starved L1-stage animals. by Ashwin Seetharaman (615458)

Gene expression changes in <i>lin-35(n745)</i> starved L3-stage animals. by Ashwin Seetharaman (615458)

Gene expression changes in <i>lin-35(n745)</i> starved L1 animals. by Ashwin Seetharaman (615458)

Longitudinal development of the overlapping functional modules at the system level. by Tianyuan Lei (19683861)

Screening for K⁺ channel mutants with altered susceptibility to <i>V. cholerae.</i> by Longjun Pu (20685717)

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%. …”