Increasing gaps and decreasing returns attenuate spending effects. by William Minozzi (8564712)

Heterogeneity analysis of the bargaining effect based on characteristics of IBs. by Lina Yu (1731598)

Heterogeneity analysis of the bargaining effect based on characteristics of executives. by Lina Yu (1731598)

Linear regression analysis results for the effect of log-transformed urinary BPA concentrations at two time points on serum thyroid concentrations at ages 10–12. by Jung Eun Choi (563339)

Suggestive significant associations in the candidate gene approach. by Dai Nogimura (21445649)

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Summary statistics from significant disease associations. by Margaret Sunitha Selvaraj (13994016)

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Multiple linear regression was used to determine the ratio of similar materials. by Zhengguo Zhu (2676715)

Survival curve of ART Treatment outcomes. by Ekerette Emmanuel Udoh (7326194)

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Microbial decomposition simulation: VGA-based simulation (solid lines), PNGM-based simulation calibrated by LBM-based simulation (dash-dotted lines), and PNGM-based simulation with... by Mouad Klai (20818364)

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Kano category based on frequency of responses. by Sharareh Kermanshachi (12152998)

App user base growth trends. by Henri Claude Moungui (22227043)

The effect of novel synthetic communities on plant shoot Pi content can be predicted by an NN. by Sur Herrera Paredes (674875)

“…−NS, nonsignificant decrease; −S, significant decrease; +NS, nonsignificant increase; +S, significant increase; INT, linear model with interaction; leakyReLU, leaky Rectified Linear Unit; LM, linear model; NN, neural network; Pi, phosphate.…”

Linear regression equation and concentration range of each SCFAs standard. by Shudan Liu (7049483)

Significant clusters for gray matter volume loss per timepoint comparison. by Jesse D. de Groot (15401476)

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Significant clusters for white matter volume loss per timepoint comparison. by Jesse D. de Groot (15401476)

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Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

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Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

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Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of female originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of male originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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