PRMT5 regulates alternative splicing landscape under hypoxia. by Srinivas Abhishek Mutnuru (22513457)

“…<p><b>A)</b> Pie chart showing distribution of different types of significant AS events (FDR < 0.05) in shCTRL vs. shPRMT5 MDA-MB-231 cells under hypoxia. …”

SLC response kinematics at 28 dpf. by Morgan Barnes (7876373)

“…<p>(A-B) C1 is the first C-bend performed. The angle and duration of the C1 bend is not significantly altered at this time point. …”

[A] Histopathological images of pancreas, liver, kidney, and heart tissues from the studied rat groups, stained with H&E. by Mohamed Lotfy (18599184)

Deleting liver-innervating cholinergic neurons induces beiging of ingWAT. by Jiyeon Hwang (19747297)

“…(I) Western blot images showing a decrease in pS660-HSL expression in ingWAT of experimental mice relative to controls. …”

Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

“…Age and <i>F</i>0 are significant predictors of CPP; however, the observed increase in CPP with increasing age in males is primarily due to the substantial decrease in <i>F</i>0 postpuberty. …”

Puriton’s modulation effects on WBC composition in BALF and serum IgE. by So-Hyeon Bok (8066696)

Effect size distribution and intersections of transcript usage response upon stimulation with <i>M</i>. <i>leprae</i> sonicate by T1R-free (LEP) and T1R-destined (T1R) leprosy pati... by Wilian Correa-Macedo (11813183)

“…<p>(<b>A</b>) Strip plot presenting the distribution of the mean fitted proportion difference (PΔ) between stimulated and non-stimulated samples by group. …”

Changes in cytokine production over the second week of culture. by Nils Ågren (21474419)

“…The decrease in IFN-γ production between days 9 and 14 was significant in all groups. …”

<i>ADH7, FABP5, ALDH1A1, CRABP-2, PPARγ</i> and <i>VEGFA</i> mRNA and ADH7, FABP5, CRABP-2, PPARγ and VEGFA protein levels in limbal stromal cells (LSCs) and aniridia limbal stroma... by Shuailin Li (11907158)

“…Furthermore, 0.078 and 0.313 μg/mL travoprost treatment significantly decreased ADH7 protein levels in LSCs (p = 0.039; p < 0.001) and 0.313 μg/mL travoprost treatment significantly increased ADH7 protein levels in AN-LSCs, compared to their untreated controls (p = 0.039) <b>(B, C)</b>. …”

Cortical and subcortical regions feature distinct early and late responses during audition. by Sarah H. McGill (22505225)

“…The mean no-stimulus trial spectrograms were subtracted from the mean maximum-intensity trial spectrograms, and a cluster-based permutation testing was employed to identify significant differences between the conditions (p < 0.05, 5000 iterations). …”

Passive listening and go/No-go tasks feature comparable electrophysiological responses. by Sarah H. McGill (22505225)

“…The mean no-stimulus trial spectrograms were subtracted from the mean maximum-intensity trial spectrograms, and a cluster-based permutation testing was employed to identify significant differences between the conditions (p < 0.05, 5000 iterations). …”

Characterization of Developmentally Dynamic Promoters (DDPs). by Jiang Tan (260415)

Dataset visualization diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Dataset sample images. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Performance comparison of different models. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

C2f and BC2f module structure diagrams. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n detection results diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n-BWG model structure diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

BiFormer structure diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n-BWG detection results diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”