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)

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)

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

“…Spearman correlation analysis between the individuals’ calendar ages and cell type proportions revealed a statistically significant decrease in the proportion of neurons with increasing age. …”

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)

Summary statistics of key variables. by Saul Estrin (8629173)

“…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …”

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Sample characteristics: Countries, cities and city innovation. by Saul Estrin (8629173)

Decreased production of antiviral factors in patients infected with SARS-CoV-2 due to reduced TLR7 expression by Julia Cataldo Lima (22811497)

“…</p> <p>To investigate this, we analyzed the expression of interferon-stimulated genes (ISGs) in 48 SARS-CoV-2-infected patients using real-time polymerase chain reaction (RT-qPCR) and assessed toll-like receptor (TLR7) expression in blood cells via flow cytometry.…”

Porosity Tuning in Soft-templated Mesoporous Silica: The Influence of Block Copolymer Composition and Concentration by Lysander Q. Wagner (17419267)

“…The pore size increase originates from a partial PEO collapse on the micelle core based on a pore volume analysis and occurs only above a certain threshold concentration of block copolymer. …”

Data_Sheet_1_Benefiting from binary negations? Verbal negations decrease visual attention and balance its distribution.pdf by Ngoc Chi Banh (20325882)

“…<p>Negated statements require more processing efforts than assertions. However, in certain contexts, repeating negations undergo adaptation, which over time mitigates the effort. …”

Illustrative diagram of the three crash types. by Chun-Chieh Chao (2681722)

“…</p><p>Conclusions</p><p>The aforementioned risk factors remained largely unchanged since 2011, when we conducted our previous study. However, the present study concluded that the detrimental effects of certain variables became more pronounced in certain situations. …”

Multivariate logistic regression results. by Chun-Chieh Chao (2681722)

“…</p><p>Conclusions</p><p>The aforementioned risk factors remained largely unchanged since 2011, when we conducted our previous study. However, the present study concluded that the detrimental effects of certain variables became more pronounced in certain situations. …”

Univariate logistic regression results. by Chun-Chieh Chao (2681722)

“…</p><p>Conclusions</p><p>The aforementioned risk factors remained largely unchanged since 2011, when we conducted our previous study. However, the present study concluded that the detrimental effects of certain variables became more pronounced in certain situations. …”