Differences in mean number of papers (top) and co-authors (bottom) depending on (1) NI membership and (2) time joined NI. by William C. Barley (8915282)

Random forest plot showing the importance of predictors (top 10) for classifying LF progression based on the Mean Decrease in Gini index. by Emmanuel Kobla Atsu Amewu (13946765)

Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

“…<p>Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.…”

Scatterplot of observed barrier scores against knowledge scores (top) and confidence scores (bottom) with linear line of best fit. by Lisa Thiele (6468056)

Identification of Gut Microbiota Biomarker Genera Distinguishing Wild and Captive Animals (A) Top 50 discriminative genera selected by random forest classifier, ranked by mean decrease accuracy. by Lin Xu (94491)

Top view of the experimental setup. by Muhammad Hammad Bucha (21736111)

Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). by William C. Barley (8915282)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

<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. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Top: Depression score before and after treatment in the PP-group (n = 18). by Marcus Persson (20496333)

Descriptive statistics (mean ± standard deviation; minimum, median and maximum value) of included variables. by Ivan Baptista (5278874)

Top: Individual Montgomery-Åsberg Depression Rating Scale (MADRS) scores in the PP-group. by Marcus Persson (20496333)

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, respectively.... by Zoë Parker Cates (22184243)

“…<p>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, respectively. …”

SUVmax and SUVmean for each hot sphere when the Gaussian filter is changed. by Masakazu Tsujimoto (22339504)

Top 3 problem nutrients in the 37 stunting priority districts, by age group. by Umi Fahmida (10007846)

Top predictive variables for KDIGO stage ≥ 3 identified by the final Random Forest model. by Julian Müller-Kühnle (22265248)

Structure of IKOV-G at pH-8.3. by Fanli Yang (404970)

Top three performing mixed linear regression models for the influence of human supplementation on invasive rat activity, including AIC values and the difference between each model... by Ishana Shukla (20189612)

Top three performing mixed linear regression models for the influence of human supplementation on native small mammal activity, including AIC values and the difference between each... by Ishana Shukla (20189612)