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

Matrix crosslinking decreases cell migration persistence. by Michael Pamonag (12295175)

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

Correlations of cytokines that significantly change between the pre-infusion and post-infusion blood draws pearson’s correlation between cytokine pairs is indicated by color and si... by Jordan K. Abbott (8934239)

Subjects:

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

Long COVID prevalence decreases with vaccine uptake in the U.S. by Manlio De Domenico (626037)

“…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”

The RMSE of point to point movement results. by John David Prieto Prada (11883577)

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)

Decrease of injuries. by Petr Fulin (8380320)

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)

RMSE. by Pengfei Wu (3200082)

RMSE metrics for different models at varying input sizes. by Xiangyue Zhang (9251306)

RMSE after embedding the CP module into different models. by Xiangyue Zhang (9251306)

Decrease of admissions and lead diagnoses. by Petr Fulin (8380320)

Subjects:

RMSE results. by YueSheng Jiang (19267984)

Point range comparisons of RMSE. by Steven M. Pawley (18265087)

Sensitivity analyses of seroprevalence with the largest sample size study omitted. by Yu Zhou (89766)

Significant relationships between QOL measures on infusion day and day 7. by Jordan K. Abbott (8934239)

Subjects:

Performance through MAE, MSE and RMSE. by Ghulam Mustafa (458105)

“…Artificial Intelligence (AI) has increased the yield accuracy significantly. The existing Machine Learning (ML) methods are using statistical measures as regression, correlation and chi square test for predicting crop yield, all such model’s leads to low accuracy when the number of factors (variables) such as the weather and soil conditions, the wind, fertilizer quantity, and the seed quality and climate are increased. …”

Phase 2 significant effects. by Wendy C. Crone (2262169)