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_Aging of visual word perception is related to decreased segregation within and beyond the word network in the brain.docx by Licheng Xue (6683348)

“…Introduction<p>We investigated the neural correlates of cognitive decline in visual word perception from the perspective of intrinsic brain networks.…”

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. …”

Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

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)

Summary of the framework for the computation of the brain transition cost from EEG data. by Giacomo Barzon (19832364)

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)

Calycosin Inhibit PANoptosis and Alleviate Brain Damage: A Bioinformatics and Experimental Verification Approach by Huiyan An (20959966)

“…Numerous studies have highlighted the significance of PANoptosis in brain ischemia–reperfusion (I/R) injury. Calycosin, a natural product with diverse biological activities, has demonstrated a significant reduction in neuronal death caused by ischemic brain injury by modulating multiple cell death pathways. …”

Design and Synthesis of Novel PET Radiotracers for Imaging Sphingosine-1-Phosphate Receptor 5 (S1PR5) in the Brain by Jiawen Lang (4288540)

“…Cuprizone-fed mice had reduced [¹⁸F]<b>7a</b> brain uptake, reflecting the loss of oligodendrocytes and decreased S1PR5 expression. …”

Design and Synthesis of Novel PET Radiotracers for Imaging Sphingosine-1-Phosphate Receptor 5 (S1PR5) in the Brain by Jiawen Lang (4288540)

“…Cuprizone-fed mice had reduced [¹⁸F]<b>7a</b> brain uptake, reflecting the loss of oligodendrocytes and decreased S1PR5 expression. …”

Design and Synthesis of Novel PET Radiotracers for Imaging Sphingosine-1-Phosphate Receptor 5 (S1PR5) in the Brain by Jiawen Lang (4288540)

“…Cuprizone-fed mice had reduced [¹⁸F]<b>7a</b> brain uptake, reflecting the loss of oligodendrocytes and decreased S1PR5 expression. …”

Prediction of individual spatial patterns of nodal module overlap from structural brain features in children. by Tianyuan Lei (19683861)

Overlapping modular architecture of group-level brain functional networks in the adult cohort and the child subgroups. by Tianyuan Lei (19683861)

RNA targets of Mod identified by RiP-Seq. by Amalia S. Parra (4173004)

“…Mod is expressed in larval brains and its loss leads to a significant decrease in the number of central brain NBs. …”

Data overview: Cross-sectional age distribution of the ‘10kInOneDay’ dataset used in this study with additional details of the dataset. by Andrew Patton (10224161)