Results on the trimmed datasets with a decreasing number of papers per author available for training and testing. by Leonard Bauersfeld (16475015)

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

Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

Relative variable importance for each species distribution model using an increase in AUC values (ΔAUC). by Wanmo Kang (14271530)

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)

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. …”

Comparison of ROC AUC and PR AUC with existing models. by Guodong He (3770947)

Comparison of ROC AUC and PR AUC with deep learning algorithms. by Guodong He (3770947)

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

Decrease of injuries. by Petr Fulin (8380320)

Subjects:

Mean (±95% CI) of fold-change in monocular and binocular FMTs from smallest (7’) to largest (60’) target size obtained for mesopic and photopic conditions for central and parafovea... by C. Vijay Reena Durai (14498259)

Subjects:

Predictive performance (AUC) of the UK Biobank PRS Release disease traits by ancestries. by Deborah J. Thompson (12410706)

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

STI predictive models’ AUC values. by Owen Mugurungi (230623)

“…The results show that MLP performed better than STI predictive models (XGBoost and ExtraTrees) and achieved accuracy of 87.54%, recall of 97.29%, precision of 89.64%, F1-Score of 93.31% and AUC of 66.78%. XGBoost also achieved an accuracy of 86.51%, recall of 96.51%, precision of 89.25%, F1-Score of 92.74% and AUC of 54.83%. …”

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

Subjects:

During electrical stimulation the decrease in compound action potential (CAP), but not of ATP, is larger in <i>Plp</i>^null/y mice. by Andrea Trevisiol (9647910)

The carotid canal area is larger on the unaffected side than on the affected side in patients with unilateral moyamoya disease, but the difference decreases according to the contralateral progression. by Yuki Oichi (11840776)

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”

Evolution of the average median AUC scores per dataset, on the validation and test sets, at increasing levels of variable selection, for taxonomic and functional (SoFA) profiles. by Baptiste Ruiz (20285217)