Causal relationships between allergic diseases and significant declines in lung function: a multivariable Mendelian randomization study by Jiannan Lin (6954983)

“…Only allergic asthma continued to show a significant causal relationship with decreased lung function (OR [95%CI]: 1.019 [1.008–1.030], <i>p</i> < .001).…”

The results of mediating mechanism test. by Le Zhu (1771669)

“…Our analyses underline a significant decrease in the environment and governance CSR among non-financial firms, while no significant impact is observed on the social dimension of CSR. …”

The results of Bootstrap Method and Sobel Test. by Le Zhu (1771669)

“…Our analyses underline a significant decrease in the environment and governance CSR among non-financial firms, while no significant impact is observed on the social dimension of CSR. …”

Impact of the NAMR on CSR dimensions (E, S, G). by Le Zhu (1771669)

“…Our analyses underline a significant decrease in the environment and governance CSR among non-financial firms, while no significant impact is observed on the social dimension of CSR. …”

Image1_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.tif by Wenzhe Li (815057)

“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”

Table2_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.xlsx by Wenzhe Li (815057)

“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”

Table3_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.docx by Wenzhe Li (815057)

“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”

Table1_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.xlsx by Wenzhe Li (815057)

“…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”

MWM training data. by Robert Botelho (20308297)

Longitudinal assessment of animal weights and tumor metrics. by Robert Botelho (20308297)

Spatial exploration patterns of tumor bearing mice under different treatment conditions in the Morris Water Maze (MWM). by Robert Botelho (20308297)

Spatial exploration patterns of non-tumor bearing mice under different treatment conditions in the Morris Water Maze (MWM). by Robert Botelho (20308297)

High-affinity choline Uptake (HACU) in the Cortex, Striatum, and Hippocampus of non-tumor and tumor-bearing mice. by Robert Botelho (20308297)

lncCyt b cooperates with hnRNPA2B1 to modulate glycolysis and exhibits physiological significance. by Jia Li (160557)

The technical route of the study. by Hongliang Zou (20707270)

“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”

Point cloud fusion instance effect. by Hongliang Zou (20707270)

“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”

Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”

Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”