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)

“…After ChatGPT-4.5 was publicly released, reliability decreased notably (e.g. ICC = −0.046 for BVMT-R Trial 3), and average scoring discrepancies per test increased (e.g. …”

The Table explains the "frame", i.e., the smallest time unit of 1/12 seconds. by Piotr Popik (292215)

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)

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

Feature engineering. by Youli Jiang (15249070)

Social change: No decrease in singing rate upon first-time social isolation in the same environment. by Anja T. Zai (9225852)

Mediation model illustrating the relationship between eGDR, diabetes, and frailty. by Wentao Yang (205781)

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)

The shortened version of the Edinburgh Handedness Inventory encompasses 4 items (e.g. writing) scored on a 5-point scale ranging from:” Always right; usually right; both equally; u... by Marcel F. Hinss (14675457)

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)

Perceptual inference and learning of naturalistic images. by Kwangjun Lee (22226994)

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)

Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... by Bin Pan (742525)

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)

Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

Table 2_Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.docx by Supriya Raghav (21412907)

“…Background<p>This study investigated the cost-effectiveness and clinical impact of the 3E model (education, empowerment, and economy) in diabetes management using advanced machine learning techniques.…”

Table 1_Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.xlsx by Supriya Raghav (21412907)

“…Background<p>This study investigated the cost-effectiveness and clinical impact of the 3E model (education, empowerment, and economy) in diabetes management using advanced machine learning techniques.…”