Image 1_Using sodium glycodeoxycholate to develop a temporary infant-like gut barrier model, in vitro.pdf by Francesca Bietto (21511316)

Table 1_Using sodium glycodeoxycholate to develop a temporary infant-like gut barrier model, in vitro.docx by Francesca Bietto (21511316)

Image 5_Using sodium glycodeoxycholate to develop a temporary infant-like gut barrier model, in vitro.pdf by Francesca Bietto (21511316)

Image 4_Using sodium glycodeoxycholate to develop a temporary infant-like gut barrier model, in vitro.pdf by Francesca Bietto (21511316)

Image 2_Using sodium glycodeoxycholate to develop a temporary infant-like gut barrier model, in vitro.pdf by Francesca Bietto (21511316)

Image 3_Using sodium glycodeoxycholate to develop a temporary infant-like gut barrier model, in vitro.pdf by Francesca Bietto (21511316)

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. …”

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

Data Sheet 1_Validation of an MPS-based intestinal cell culture model for the evaluation of drug-induced toxicity.docx by Stefanie Hoffmann (3756733)

“…Overall, from the 23 tested compounds, 15 showed the expected outcome, i.e., the compound led to a decrease of the TEER for the positive control compounds, or the TEER value remained stable after treatment with non-GI-toxic compounds.…”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”

AI KRegression by CHIN-CHENG CHU (20718575)

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)

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)

Feature engineering. by Youli Jiang (15249070)

Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)