Certainty of Evidence. by Haribalakrishna Balasubramanian (21865971)

“…Compared to co-located care, transfer for surgery did not increase the odds of risk-adjusted and crude mortality in neonates with congenital diaphragmatic hernia [adjusted odds ratio (aOR):0.86 (0.49 to 1.49), 5 studies, 8366 infants; crude OR:0.68 (0.51 to 0.91, i.e., decreased mortality), 22 studies, 12970 infants], critical congenital heart disease [aOR:0.79 (0.42 to 1.48), 3 studies, 13485 infants; OR:1.04 (0.66 to 1.64), 10 studies, 14447 infants], surgical necrotizing enterocolitis [aOR:0.99 (0.61 to 1.61), 4 studies, 5891 infants; OR:1.03 (0.64 to 1.65), 5 studies, 5915 infants], gastroschisis [aOR:1.07 (0.68 to 1.68), 2 studies, 5294 infants; OR:0.80 (0.48 to 1.35), 11 studies, 8708 infants], tracheo-oesophageal fistula [aOR:0.97 (0.39 to 2.39), 1 study, 937 infants; OR:0.62 (0.37 to 1.04), 4 studies, 4050 infants], congenital or perinatal intestinal conditions [OR:2.69 (0.26 to 28.34), 4 studies, 1799 infants]. …”

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. …”

Certainty of affect predicted by positive and negative valence (study 2) Predicted certainty of knowing how you feel in a trial, as predicted by positive and negative valence ratin... by Anthony G. Vaccaro (5964368)

Certainty of affect predicted by positive and negative valence. by Anthony G. Vaccaro (5964368)

“…<p>Predicted certainty of knowing how you feel in a trial, as predicted by positive and negative valence ratings. …”

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

PRISMA flow. by Viraraghavan Vadakkencherry Ramaswamy (11238665)

“…Meta-analysis of 2 non-RCTs that had included VPTI <  72 hours indicated a possibly decreased risk of MBI (aOR: 95% CI 0.44 (0.24; 0.82), very low certainty) and NEC ≥  stage 2 (aOR: 95% CI 0.61 (0.41; 0.92), very low certainty) with active treatment of IH. …”

Certainty of affect predicted by valence and low, medium, and high trait emotional intelligence Predicted certainty of knowing how you feel in a trial, as predicted by the subject’... by Anthony G. Vaccaro (5964368)

Certainty of affect predicted by valence and low, medium, and, high trait emotional clarity Predicted certainty of knowing how you feel in a trial, as predicted by the subject’s st... by Anthony G. Vaccaro (5964368)

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)

Summary of findings – vitamin A. by Anja Bronnert (21688850)

“…Culture-proven sepsis was decreased by vitamin A (0.88 [0.77–0.99], moderate certainty of evidence).…”

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)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)