Sensitivity to small changes. by Ariel Burman (20329776)

Subjects:

Example of predicted effects of choice bundling on preference for larger, later rewards (LLRs) over smaller, sooner rewards (SSRs). by Jeffrey S. Stein (11689918)

Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

“…<p>Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations.…”

Statins resulted in smaller neuronal soma size. by Shuk C. Tsoi (21192243)

“…Within control birds, the BrdU + /Hu+ neuron population was significantly smaller in soma size than the BrdU-/Hu+ older, heterogeneous population (A). …”

Parasite burden is significantly decreased in the small intestine of <i>taiep</i> infected rats. by Karen Elizabeth Nava-Castro (6940340)

Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

CRISPRi knockdown of RgaR-dependent genes specifically and significantly decreases their transcript levels. by Adrianne N. Edwards (5646344)

Display of significance test results. by Qingchun Jiao (18388097)

“…Analysis of variance (ANOVA) indicates that, across multiple datasets constructed from fabrics with different elasticity grades, the model shows extremely significant differences (p < 0.001) in the metrics of Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) at each prediction step. …”

Reduction of stress in bundles explains smaller moduli with hydrodynamics. by Ondrej Maxian (8722185)

Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

Subjects:

Significant variables of the MLR model. by Salem Hamoud Alanazi (19746254)

Subjects:

Significant variables for all the models. by Salem Hamoud Alanazi (19746254)

Subjects:

Model comparisons of linear-mixed effect models predicting internalizing and externalizing problems. by Irina Jarvers (10704223)

Subjects:

Significance graph of the variables of the RF model. by Halit Tutar (20678455)

Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

Significant predictors of balance performance and parameters of the proposed prediction models. by David Hernández-Guillén (10231895)

“…<p>Significant predictors of balance performance and parameters of the proposed prediction models.…”

Global parameters and variables for the model. by Alexandra M. Campbell (3284094)

Subjects:

Ordinal regression predictions. by Thierry Jean (20691795)

Subjects:

Binary classification predictions. by Thierry Jean (20691795)

Subjects:

Most significant features for CKD prediction. by Neda Aminnejad (20598096)

Subjects: