Top 20 Significant correlation between pairs of metabolites and blood parameters (Significance was determined by P-value < 0.001) in different patient groups. by Gamalat A. Elgedawy (18700038)

<i>neurod1</i>^<i>ΔUCE</i> homozygous mutants display a decrease in the expression of several EE hormones. by Anne Sophie Reuter (12239993)

SHAP values for predicting child removals. by Michael Rosholm (4020347)

Significance Values of Multi-Group Analyses. by Bárbara Gonzalez (21680923)

“…Academic exhaustion was the stronger predictor (β = 0.523, p < .001), followed by social connecteness to the campus (β = −31, p < .001), vocational difficulties (β = 0.274, p < .001), and course value (β = −0.256, p < .001). Except for the course value, and family educational level, all significant predictors had their effect on dropout intention through academic exhaustion. …”

Stepwise logistic regression of the significant factors in the Univariate analysis. by Tuotuo Xiong (20427783)

Algorithm operation steps. by Junyan Wang (4738518)

The relative quantitative values of 3 SAP-targeted peptides and 1 PPBP-targeted peptide. by Kumiko Shirai (13014884)

Predicted value of S1 station. by Yubo Zhao (3873457)

“…The model was tested at three different locations and the results showed that the model outperformed the other models, performing as follows: 0.5925, 0.6482, 6.3322, 0.8523, 0.8902, 0.9403; 0.4933, 0.4325, 6.2351, 0.8952, 0.7928, 0.8632; 0.2912, 0.2001, 4.0523, 0.7823, 0.8425, 0.8463 and the PICP values exceed 95%. The hybrid model demonstrated significant results in predicting dissolved oxygen concentrations for the next 15 days. …”

Predicted value of S3 station. by Yubo Zhao (3873457)

“…The model was tested at three different locations and the results showed that the model outperformed the other models, performing as follows: 0.5925, 0.6482, 6.3322, 0.8523, 0.8902, 0.9403; 0.4933, 0.4325, 6.2351, 0.8952, 0.7928, 0.8632; 0.2912, 0.2001, 4.0523, 0.7823, 0.8425, 0.8463 and the PICP values exceed 95%. The hybrid model demonstrated significant results in predicting dissolved oxygen concentrations for the next 15 days. …”

Predicted value of S2 station. by Yubo Zhao (3873457)

“…The model was tested at three different locations and the results showed that the model outperformed the other models, performing as follows: 0.5925, 0.6482, 6.3322, 0.8523, 0.8902, 0.9403; 0.4933, 0.4325, 6.2351, 0.8952, 0.7928, 0.8632; 0.2912, 0.2001, 4.0523, 0.7823, 0.8425, 0.8463 and the PICP values exceed 95%. The hybrid model demonstrated significant results in predicting dissolved oxygen concentrations for the next 15 days. …”

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

Validation and diagnostic performance of the Qatar COVID-19 risk score, assessed using measures of sensitivity, specificity, positive predictive value, and negative predictive valu... by Laith J. Abu-Raddad (9262524)

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Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

Scatter plot—predicted values vs. actual values for confirmed cases–South Africa. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed deaths–United Kingdom. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed cases–United Kingdom. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed deaths–South Africa. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed deaths–United States. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed cases–United States. by Erick Giovani Sperandio Nascimento (6146123)

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The statistical significance of Kendall’s correlation coefficient values between predictor and outcome variables is crucial for feature selection. by Xiaobo Qi (758907)

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