Number of oral cancer cases in Hungary in 2016 in the different NUTS 2 regions (the same colours depict the same regions). by Amr Sayed Ghanem (18405517)

Images of the same case under each image quality setting. by Saaya Fukase (22772475)

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)

Estimated parameter values and model fit when the SPAM (Fig 1) was fitted on datasets. (<i>N</i> = 10,000) with the same zero-order correlations as has been meta-analytically estim... by Kimmo Sorjonen (495847)

The decreased permeability caused by phospholipid content in the membrane could drive the emergence of other functions in the protocells. by Wentao Ma (326530)

Interleaved increasing (uneven numbered tones) and decreasing (even numbered tones) series of tones, ISI 26.6ms. by Nathanael Larigaldie (21703267)

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)

Additional file 6 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

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)

Representative case showing topographic change after epiretinal membrane (ERM) removal. by Seung Min Lee (1644409)

Feature engineering. by Youli Jiang (15249070)

Results when the two cell types have different cone angles but the same motive force. by Erin Flowerday (21440306)

“…<p>Decreasing the cone angle promotes sorting for higher motive forces, but in all cases there is not much sorting. …”

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)

List of prompts, with clinical note prompts abbreviated. The prompts vary in three aspects: prompt format, clinical scenario (indicated by subgroup number), and the mention of an L... by Crystal T. Chang (22208956)

Classification of the emergent synchronization patterns when stimulating a single brain region for three different cases. by Andrew Patton (10224161)