Figure 2 from Loss of Sorting Nexin 10 Accelerates KRAS-Induced Pancreatic Tumorigenesis by Kohinoor Khan (22206206)

“…Data are representative of three independent experiments. Statistically significant differences *, <i>P</i> < 0.05; **, <i>P</i> < 0.01; and #, <i>P</i> < 0.001 are represented as mean ± SEM. …”

Image 5_Fatty acid synthase inhibition improves hypertension-induced erectile dysfunction by suppressing oxidative stress and NLRP3 inflammasome-dependent pyroptosis through activa... by Jiaochen Luan (9704384)

“…Multi-omics analysis revealed significant enrichment in lipid metabolic pathways, with Fasn identified as a hub gene. …”

Data Sheet 1_Fatty acid synthase inhibition improves hypertension-induced erectile dysfunction by suppressing oxidative stress and NLRP3 inflammasome-dependent pyroptosis through a... by Jiaochen Luan (9704384)

“…Multi-omics analysis revealed significant enrichment in lipid metabolic pathways, with Fasn identified as a hub gene. …”

C2CD3 regulates spatial organization of centriole architecture. by Eloïse Bertiaux (5309927)

PbCBP-O is required for efficient midgut traversal. by Dominika Kwecka (22170493)

“…In all relevant panels, statistical significance is indicated as: ns = not significant, ** = p < 0.01, *** = p < 0.001 and **** = p < 0.0001.…”

Effects of contralateral noise on CAEP (Lee et al., 2025) by Donguk Lee (21628297)

“…The presentation of contralateral noise had a significant effect on P1 and N1 latencies, both of which decreased. …”

PDLB - Balance Sheet by Nguyen Linh (19516642)

“…It built out management capabilities for a much larger bank, and is currently seeing decreasing Q/Q non-interest cost, while assets and interest income are growing nicely.…”

Characterisation of conidial length and ascospore production in <i>ΔFgknr4</i> and complemented strains. by Erika Kroll (20537020)

“…<p><b>A.</b> Decreased conidial length observed in <i>ΔFgknr4</i>. …”

Discriminatory learning preferentially enhances reward associated input. by Rahul Garg (3064578)

“…(E) Fraction of glomeruli with significant changes post learning. Yellow: increased, dark grey: decreased, light grey: unchanged. …”

Image 1_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.tif by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Image 2_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.tif by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 4_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 1_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 3_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 2_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Table 1_A study on the effects of modified sprint interval trainingon physical fitness test scores and the quantitative and dose-response relationships among Chinese male universit... by Guoyuan Huang (4262416)

“…Additionally, The results of the physical fitness test showed significant improvements: standing long jump (SLJ) increased from 2.31 ± 0.15 m to 2.45 ± 0.18 m (significance level p < 0.01), 50 m sprint time decreased from 7.32 ± 0.42 s to 6.98 ± 0.38 s (significance level p < 0.01), and 1,000 m from 235.6 ± 18.4 s to 220.3 ± 16.8 s (significance level p < 0.01). …”

Data Sheet 1_Analysis of pharmacotherapeutic approaches for multiple myeloma and correlated renal and pulmonary impairments: a retrospective real-world registry study in the Greate... by Ayman Alhejazi (21092054)

“…Background<p>Multiple myeloma (MM) is a plasma cell malignancy with significant unmet medical needs, particularly in the treatment of relapsed and refractory disease. …”

Coherence of SCN metabolic pathways changes during development. by Martin Sládek (130663)

“…<b>(C)</b> Number of all significant polar metabolite and lipid correlations (positive in red, negative in blue) across all analyzed ages. …”

Image 1_Population pharmacokinetics of polymyxin B in critically ill patients with carbapenem-resistant organisms infections: insights from steady-state trough and peak plasma conc... by Jun Yang (2084)

“…Bland-Altman analysis revealed a mean bias of 12.98 mg·h·L^-1 between the two AUC_ss,24h estimation methods. …”

Supplementary file 1_Investigating the feasibility of machine learning to guide personalized red blood cell (RBC) transfusion: analyzing the heterogeneity of RBC transfusion in sep... by Penglei Yang (8090156)

“…There was significant heterogeneity in the ITE among patients in the MIMIC-III validation cohort. …”