Positive predictive value and negative predictive value for serum cysticercosis tests. by Charles E. Makasi (20958029)

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Serum cysticercosis test results vs computed tomography for neurocysticercosis (N = 36). by Charles E. Makasi (20958029)

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Sociodemographic and clinical characteristics of people with epilepsy (N = 223). by Charles E. Makasi (20958029)

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Distribution of serum cysticercosis tests and neuroimaging (Computed Tomography). by Charles E. Makasi (20958029)

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Flowchart of the recruitment of people with epilepsy in the participating mental clinics. by Charles E. Makasi (20958029)

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The receiver operating characteristic curve. by Charles E. Makasi (20958029)

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Number, stages, and distribution of the NCC lesion (N = 36). by Charles E. Makasi (20958029)

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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)

Identification of lipids with differential abundance between uninfected and BmNPV-infected head samples. by Min Feng (141118)

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)

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

“…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). AIS data has been used to support the defense teams when identifying equipment defects, locating suspicious activity, ensuring ship collision avoidance, and detecting hazardous events. …”

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)