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. …”

Spearman’s correlation matrix of weather conditions, both mean (x̄) and maximum, against daily number of visits to the water trough, mean water intake per visit, and mean water int... by M. Jordana Rivero (14610947)

Decrease in loss during the training process. by Muhammad Idrees (92773)

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

Mean salivary cortisol and α-amylase levels across the experiments. by Katharina Zwosta (5815973)

Mean AIV-H9N2 shedding titer (Log₁₀) in oropharyngeal swabs. by Oumayma Arbani (21001472)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Inhibitory synapses control decorrelation between <i>U</i>_<i>e</i> and mean noisy input. by Scott Rich (9873638)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Group results for Experiment 1 and 2. by Adam M. Roth (19845864)

Movement variability conditioned on task outcome. by Adam M. Roth (19845864)

Parkinson’s and age-matched control results. by Adam M. Roth (19845864)

Table 1_Analysis of the microbiota of pregnant women in relation to weight gain during pregnancy – a pilot study.docx by Katarzyna Kosinska-Kaczynska (6794522)

“…Patients who were diagnosed with excessive weight gain formed the study group (n=11), while those with non-excessive weight gain formed the control group (n=10).…”

Feature engineering. by Youli Jiang (15249070)

Ictogenic changes in input correlation and adaptation gains are associated with increased dynamical variability during baseline activity. by Scott Rich (9873638)

“…Plots are mean one SD over 25 independent 200 s simulations. …”

Data from: A dominance hypothesis argument for historical genetic gains and the fixation of heterosis in octoploid strawberry by Steven Knapp (8126379)

“…Conversely, heterosis was prevalent and significant among wide hybrids, especially for fruit count, a significant driver of genetic gains for fruit yield.  We attributed the disappearance (fixation) of heterosis within the California population to increased homozygosity of favorable dominant alleles and inbreeding associated with selection, random genetic drift, and selective sweeps.  …”

PD1–PD4 mean numbers of inside and outside infections with for movement activation rates of 0.1, 0.3, 0.5, 0.7, and 0.9. by Folashade B. Agusto (3663010)