Image 1_Impaired K48-polyubiquitination downmodulates mouse norovirus propagation.tiff by Emmrich Wakeford (21249104)

“…Consequently, the number of viral genome copies or viral titers were also significantly decreased in the YFP-Ubiquitin_K48R cells compared to the YFP-Ubiquitin_WT cells. …”

Table_1_D-Serine Contributes to Seizure Development via ERK Signaling.docx by Tie Ma (6505097)

“…L-aspartic acid β-hydroxamate (LaaβH), an inhibitor of SR, significantly prolonged the latencies of seizures, shortened the durations of seizures, and decreased the total EEG power in rats. …”

Image_4_D-Serine Contributes to Seizure Development via ERK Signaling.tif by Tie Ma (6505097)

“…L-aspartic acid β-hydroxamate (LaaβH), an inhibitor of SR, significantly prolonged the latencies of seizures, shortened the durations of seizures, and decreased the total EEG power in rats. …”

Image_3_D-Serine Contributes to Seizure Development via ERK Signaling.tiff by Tie Ma (6505097)

“…L-aspartic acid β-hydroxamate (LaaβH), an inhibitor of SR, significantly prolonged the latencies of seizures, shortened the durations of seizures, and decreased the total EEG power in rats. …”

Image_1_D-Serine Contributes to Seizure Development via ERK Signaling.tif by Tie Ma (6505097)

“…L-aspartic acid β-hydroxamate (LaaβH), an inhibitor of SR, significantly prolonged the latencies of seizures, shortened the durations of seizures, and decreased the total EEG power in rats. …”

Image_5_D-Serine Contributes to Seizure Development via ERK Signaling.tif by Tie Ma (6505097)

“…L-aspartic acid β-hydroxamate (LaaβH), an inhibitor of SR, significantly prolonged the latencies of seizures, shortened the durations of seizures, and decreased the total EEG power in rats. …”

Image_2_D-Serine Contributes to Seizure Development via ERK Signaling.tif by Tie Ma (6505097)

“…L-aspartic acid β-hydroxamate (LaaβH), an inhibitor of SR, significantly prolonged the latencies of seizures, shortened the durations of seizures, and decreased the total EEG power in rats. …”

Number of functional tube wells in twin cities. by Sidra Aman Rana (14167473)

“…Moreover, the area of open land decreased significantly from 68.46% to 18.92%whereas the area under the built environment increased significantly from 7.77% to 36.51% from 1999—2019. …”

Table1_Inhibition of CISD2 enhances sensitivity to doxorubicin in diffuse large B-cell lymphoma by regulating ferroptosis and ferritinophagy.docx by Chaofeng Zhang (845343)

“…Background<p>CDGSH iron-sulfur domain 2 (CISD2), an iron-sulfur protein with a [2Fe-2S] cluster, plays a pivotal role in the progression of various cancers, including Diffuse Large B-cell Lymphoma (DLBCL). …”

Fig 4 - by Nehal Shawky Nagy (17721213)

“…<p>A) Pathologic assessment of H&E-stained sections of the striatum in different studied groups: control, DSMO, and gonadal extract groups show a cellular striatum, high power shows viable neurons with large, rounded nuclei with open chromatin and a nucleolus (black arrows), few microglial cells (red arrows) and thin capillaries are seen (v). …”

Image1_Inhibition of CISD2 enhances sensitivity to doxorubicin in diffuse large B-cell lymphoma by regulating ferroptosis and ferritinophagy.JPEG by Chaofeng Zhang (845343)

“…Background<p>CDGSH iron-sulfur domain 2 (CISD2), an iron-sulfur protein with a [2Fe-2S] cluster, plays a pivotal role in the progression of various cancers, including Diffuse Large B-cell Lymphoma (DLBCL). …”

Image2_Inhibition of CISD2 enhances sensitivity to doxorubicin in diffuse large B-cell lymphoma by regulating ferroptosis and ferritinophagy.JPEG by Chaofeng Zhang (845343)

“…Background<p>CDGSH iron-sulfur domain 2 (CISD2), an iron-sulfur protein with a [2Fe-2S] cluster, plays a pivotal role in the progression of various cancers, including Diffuse Large B-cell Lymphoma (DLBCL). …”

Reduced expression of MYBPC3 mRNA and cMyBP-C protein in the proband. by Yuanyuan Zhang (101797)

“…<p>(A) RT-qPCR analysis showing significantly decreased MYBPC3 mRNA levels in cardiac sample from the proband compared to control subjects. …”

<b>Differences in White Matter Microstructure in Children With Type 1 Diabetes Persist During Longitudinal Follow up: Relation to Dysglycemia</b> by Nelly Mauras (8103110)

“…</p><p dir="ltr">We observed in 182 children (121 type 1 diabetes, vs. 61 controls) who had testing at Time 4 that FA increased, and RD, AD, MD decreased significantly in both groups, with no differences between groups for FA, RD and MD over time. …”

Long-Term Effects of Adalimumab in Juvenile Idiopathic Arthritis-Associated Uveitis: 3- and 6-Year Results of the ADJUVITE Trial by Yoo-Ri Chung (4231198)

“…The mean dose of methotrexate decreased significantly from 11.3 ± 4.4 mg/week at the end of the trial to 5.2 ± 6.2 mg/week at the last follow-up (<i>p</i> = 0.002). …”

Table 1_Radiofrequency ablation vs. cryoablation for pediatric atrioventricular nodal reentrant tachycardia in the era of three-dimensional electroanatomical mapping.docx by Yao-Wei Chan (20639414)

“…The minor complication rates, including transient AV block, did not differ significantly (14.5% vs. 11.5%, p > 0.99). The RF group had a significantly shorter procedure time (111 vs. 153.5 min, p = 0.005). …”

Hypoxia-inducible factor-1α promotes tubulointerstitial fibrosis via the upregulation of <i>Muc4</i> by Zhong-Tang Li (21183172)

“…Then, the results of transcriptomic analysis and <i>in vivo</i> and <i>in vitro</i> experiments revealed that expression of Mucin 4 (MUC4) was significantly decreased at the transcriptional and protein levels in tubular HIF-1α-knockout mice. …”

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%. …”