Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respecti... by Zoë Parker Cates (22184243)

Map of Zimbabwe highlighting the districts detected as persistent hotspots of <i>S. haematobium</i> prevalence (PPHS), persistent hotspots of decreased praziquantel efficacy (EPHS)... by Takafira Mduluza (39754)

Box plots showing baseline prevalence and mean egg count at pre-MDA1 in districts that were responders compared to those that were persistent hotspots of decreasing praziquantel ef... by Takafira Mduluza (39754)

Adjusted mobility change following the second restriction by neighborhood-level socioeconomic measures in the Greater Toronto Area. by Siyi Wang (1412581)

Trust change by gender. by Alain Abi-Rizk (8549358)

Epidemic curves and mobility change stratified by neighborhood-level income and essential worker quintiles in the Greater Toronto Area, Canada (February 23, 2020 to December 13, 20... by Siyi Wang (1412581)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”

Predicting pattern diversity decreases as a function of and . by Selim Haj Ali (21222613)

Elevation map defining directions where mucus can be transported. by Monica E. Shapiro (22622240)

<i>Gumball</i>: Distribution of risk preferences. Note: Subjects are assigned according to the number of safe responses, including inconsistent ones as defined by Holt and Laury [1... by Mónica Vasco (21072543)

Subjects:

Lecturers by gender. by Ignacio García-Espona (21395335)

“…The year and type of presentation; the name, country and gender of the first author; and the full title of the presentation were considered. …”

Posters by gender. by Ignacio García-Espona (21395335)

“…The year and type of presentation; the name, country and gender of the first author; and the full title of the presentation were considered. …”

Comparison of study variables by gender in the pretest. by Felipe Agudelo-Hernández (20790521)

Gender gap measures by country. by Lena Hipp (11720192)

Subjects:

Effect of medicaid expansion on breaches and record theft as defined by the privacy rights clearinghouse. by Jeffrey Clement (10515268)

Basic characteristics of the study participants by gender. by Subeen Kim (11714313)

Subjects:

Gender differences in first choice match outcomes. by Lucy Hui (17538542)

Subjects:

Rspo3 decreases c-fos IF intensity in rRPa. by Kenji Uno (548200)

Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast. by Jad Doughman (20636304)

“…<p>Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast.…”

Feelings of distress by gender for the young age < 25 by 44 countries, 2020–2025. by David G. Blanchflower (8011427)