Degrees of contradiction correlate with the dominant value. by Muhammad Ahsan (3744803)

degree of faithfulness to the explanation. by Kyuhyung Kim (651731)

Degree of affiliation assigned to the suspects by the specialist using fuzzy logic. by Muhammad Ahsan (3744803)

Degree of belongingness of each option with respect to each attribute value, measured in fuzzy terms. by Muhammad Ahsan (3744803)

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

Measuring the Degree of Beauty based on Alexander's 15 Properties of Living Structure by Andy Jingqian Xue (18774754)

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. …”

<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. …”

Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models by Stephen R. Pfohl (5392586)

“…Singhal, K., Azizi, S., Tu, T. et al. Large language models encode clinical knowledge. …”

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. Communities started with 5 non-interacting species. …”

Image 1_A clinician-based comparative study of large language models in answering medical questions: the case of asthma.tif by Yong Yin (51909)

Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves. by Katie D. Pool (20141584)

Subjects:

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

“…And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …”

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

Theta (Θ) vs Phi (Φ) joint contact force (JCF) vector path of increased and decreased strength conditions in comparison to default condition (100%). by Jay R. Patel (11600758)

Relationship of number of rounds of deliberation and the number of AI Council Members with an incorrect initial answer. by Yahya Shaikh (15275692)

Exposure to biologics during pregnancy does not affect placental antibody transfer of anti-SARS-CoV-2 neutralizing antibodies, but concomitant corticosteroid exposure may decrease... by Donna E. Leet (22772478)

Gen AI and Journalism: towards common principles by Michael Davis (17586303)

“…Some had officially adopted generative AI to assist with research, particularly analysis and summarisation of large amounts of information and there was an optimism about the future possibilities generative AI could offer.  …”

Project Summary: The AI Design Ed project by AnneMarie McKenna (20715786)

“…Design students are familiar with AI tools; however, they are largely discouraged from utilising them creating a punitive approach and lack of transparency. …”