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. …”

Elevation map defining directions where mucus can be transported. by Monica E. Shapiro (22622240)

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

The sites where the crust was clinically observed and their comparison with numerical results. by Yang Na (14135023)

Summary of the locations where crust or bleeding was formed and the nasal resistance. by Yang Na (14135023)

List of Included studies. by Zahra Tajik (20752452)

“…To perform the meta-analysis, in cases where there was significant heterogeneity between the studies, the random-effects model was used, otherwise the fixed-effects model was used. …”

List of excluded studies. by Zahra Tajik (20752452)

“…To perform the meta-analysis, in cases where there was significant heterogeneity between the studies, the random-effects model was used, otherwise the fixed-effects model was used. …”

Decrease in loss during the training process. by Muhammad Idrees (92773)

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)

Potential reduction in number (and %) with depression in the Norwegian 70 + population for year 2023 in the scenarios where loneliness is reduced by 10%, 20%, 30%, 40%, 50%, and 10... by Maria Lage Barca (4515385)

Overexpression of <i>MAD1L1</i> is common in colon cancer, where it correlates with worse prognosis. by Sarah E. Copeland (13951506)

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)

A summary of the included study characteristics. by Zahra Tajik (20752452)

“…To perform the meta-analysis, in cases where there was significant heterogeneity between the studies, the random-effects model was used, otherwise the fixed-effects model was used. …”

Schematic overview of the model structure, where CMF processes are written in bold and their corresponding parameters in italic letters (own illustration adapted from [25]). by Fabian Mitze (21084251)

Boxplots comparing KGE_mean values of every scenario group (a-e) for calibration, where the black star is showing the mean. by Fabian Mitze (21084251)

Boxplots comparing KGE_mean values of every scenario setting (a-e) for validation, where the filled black dot symbolizes the mean. by Fabian Mitze (21084251)

Antibodies used in this study. by Julian Terglane (12975565)

Decreased Dimethylsulfide and Increased Polybrominated Methanes: Potential Climate Effects of Microplastic Pollution in Acidified Ocean by Qian-Yao Ma (18023354)

“…To address this gap, a ship-based microcosm experiment was conducted, where OA and MP pollution were simulated under in situ conditions to explore their effects on the production of dimethylsulfide (DMS), bromoform (CHBr₃), and dibromomethane (CH₂Br₂). …”