Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n_empirical = 305 units from 5 recording sessions, n_shuffled = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n_empirical = 180 units from 4 recording sessions, n_shuffled = 18000 simulated units from 4 recording sessions). …”

MS decreases the larger amplitude distribution in adult rats. by Jesús David Ayala-Rodríguez (17364296)

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

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

A noxious temperature decrease without a prior increase produces a subtly larger decrease in pain intensity. by Benedict J. Alter (9745466)

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

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. …”

Points represent regions where the cluster coefficient was significantly larger in HC compared to MCI, at sparsity level of 0.15. by Therese M. Gilligan (7460906)

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

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

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

Comparative analysis of the proposed modified contact model against previous approaches. by Yongfeng Zhu (7361045)

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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.…”

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

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Predicted cost of significant obstetric complication from fitted model. by A. Thi Win Shwe (6490502)

“…<p>Predicted cost of significant obstetric complication from fitted model.…”

Statistical significance of model comparison metrics. by Aixia Guo (8808158)

Spike prediction coherence and NST standard deviation as a function of size of recent event history. by Evan Cudone (5768813)

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Estimated final model coefficient odds ratio (OR) for the NAFLD and significant fibrosis prediction models. by Lucia Tabacu (18530429)

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Significance of independent variables. by Halit Tutar (20678455)

Statistical significance tests for model performance. by Yankun Jiang (5690342)

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