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)

Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respecti... by Zoë Parker Cates (22184243)

Individual and mean EQ-5D VAS scores in the PP-group (0 = baseline, 1 = after the first day of treatment, 2 = after the second day of treatment, 3 = after the third day of treatmen... by Marcus Persson (20496333)

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)

Participants enrollment. by Chikondi Maluwa (20660522)

“…<div><p>Hypertension is a widespread and life-threatening condition affecting one-third of adults globally. In low- and middle-income countries, like Malawi, the burden of hypertension is escalating due to inadequate healthcare resources and lifestyle changes. …”

KAP assessment scores (n = 422). by Chikondi Maluwa (20660522)

“…<div><p>Hypertension is a widespread and life-threatening condition affecting one-third of adults globally. In low- and middle-income countries, like Malawi, the burden of hypertension is escalating due to inadequate healthcare resources and lifestyle changes. …”

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)

Participant recruitment process flowchart. by Azam Ildarabadi (20565175)

“…The risk of HDL-C appeared to decrease in the third quartile of pepper consumption (HR: 1, 0.97, 0.87, 1.03, P-trend = 0.008).…”

Participant recruitment process flowchart. by Azam Ildarabadi (20565175)

“…The risk of HDL-C appeared to decrease in the third quartile of pepper consumption (HR: 1, 0.97, 0.87, 1.03, P-trend = 0.008).…”

Flow chart for inclusion and exclusion criteria. by Maleda Tefera (9025154)

“…Conversely, the likelihood of wasting decreased in children breastfeeding in their second and third year of life (AOR: 0.75; 95% CI 0.67, 0.83) and (AOR: 0.50; 95% CI 0.43, 0.60) respectively. …”

Top: Individual Montgomery-Åsberg Depression Rating Scale (MADRS) scores in the PP-group. by Marcus Persson (20496333)

Simplified template model. by Carla M. Kumbale (15309073)

Data Sheet 1_Analysis of pharmacotherapeutic approaches for multiple myeloma and correlated renal and pulmonary impairments: a retrospective real-world registry study in the Greate... by Ayman Alhejazi (21092054)

“…Furthermore, CR and very good partial remission rates decreased across all treatment lines. Renal impairment decreased across different treatment lines, from 23.6% in the first line to 6.3% in the fourth line. …”