Distribution (A) and association (B) between the identified clusters and the glucocorticoid signaling-related score (GSRS) stratification in the TCGA-KIRC cohort. by Yu Zhang (12946)

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Schematic overview of the study workflow. by Yu Zhang (12946)

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Clinicopathological associations of GSRS. by Yu Zhang (12946)

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The difference of drug sensitivity between high and low-GSRS subjects in the TCGA-KIRC cohort. by Yu Zhang (12946)

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Differential expression of glucocorticoid signaling-related genes between paracarcinoma and KIRC tissues in the TCGA-KIRC cohort. by Yu Zhang (12946)

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Comparison of spatial working memory assessed by the Y-maze test between the CCH and control groups. by Jung-In Lee (1731727)

Estimation results of spatial Durbin panel data model. by Yuanzhi Guo (16624797)

Meta-analysis of peak as a percentage of predicted and morbidity. by Nabeela Arbee-Kalidas (17598969)

Meta-analysis of (slope and as a percentage of predicted) and mortality. by Nabeela Arbee-Kalidas (17598969)

Meta-analysis of peak as a percentage of predicted and mortality. by Nabeela Arbee-Kalidas (17598969)

Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

Wilcoxon sign rank test for significance of the climate periods. by Francis Kibagendi Nyambariga (16425739)

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Predicted effect test. by Wang Xiang (5435141)

“…The results show that the Pearson correlation coefficient between the predicted data of this improved model and the actual data is 0.996, the R-square in the regression analysis is 0.993, with a significance level of below 0.001, suggesting that the predicted data of the model are more accurate. …”

Plot of the predicted results. by Wang Xiang (5435141)

“…The results show that the Pearson correlation coefficient between the predicted data of this improved model and the actual data is 0.996, the R-square in the regression analysis is 0.993, with a significance level of below 0.001, suggesting that the predicted data of the model are more accurate. …”

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

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Spatial distribution of rainfall using Inverse Distance Weighted Interpolation (IDWI). by Menbere Sahilu (18195856)

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Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions. by Lingzhi Tan (19146572)

S1 Data - by Yi-xiao Liu (14769126)

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Single-instance population averaging predicts human spatial perception. by Helge Gleiss (7053491)

Changes in uroflowmetry results stratified by predictive factors. by Yuta Takeshima (818627)