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. …”

Non-random tree species loss shifts soil fungal communities by Sirong Zhang (20831093)

“…With biased loss of rarer species, plant pathogenic fungi showed decreases in diversity and shifts in community composition. …”

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

Identification of quantitative trait gene (QTG) for meat color lightness (L*) and redness (a*) in chickens. by Jiahong Sun (6497603)

Comparison of HRV and STAI between intervention and control at Pre-CRI:SIS and Post-CRI-SIS shifts from linear mixed model for repeated measures. by Leigh V. Evans (19753987)

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Estimates of genetic parameters correlations and phenotypic correlations between meat color traits in fast-growing white-feathered broilers. by Jiahong Sun (6497603)

Phenotypic shift associated with the establishment of tetraploids of <i>A</i>. <i>arenosa</i> and <i>A</i>. <i>lyrata</i> in the form of a decrease in the level of DNA endoreduplic... by Magdalena Bohutínská (9743042)

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)

Widespread shifts in genome architecture and trophism across fungi. by Thomas Badet (4714992)

“…<p><b>(A)</b> Number of shifts identified across the phylogeny of 1,239 species and for each genomic trait. …”

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)

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)

Design of the D-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. …”

Estimated mean values for light interception. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. …”

Raw data V-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. …”

Raw data D-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. …”

Demographic information of participating emergency medicine physicians. by Leigh V. Evans (19753987)

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CONSORT flow diagram depicting participant flow through the trial. by Leigh V. Evans (19753987)

Subjects:

Feature engineering. by Youli Jiang (15249070)