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)

Data Sheet 1_Decreased cigarette smoking may partially explain the increased prevalence of antinuclear antibodies in the United States.pdf by Gregg E. Dinse (4500940)

Data Sheet 1_Aging of visual word perception is related to decreased segregation within and beyond the word network in the brain.docx by Licheng Xue (6683348)

“…We examined age-related alterations in resting-state functional connectivity (FC) within the word network, as well as between the word network and other networks. …”

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)

Sample size by state in India in 2016 and 2021. by Anoop Jain (12095423)

Net work vs phase of activation and lattice spacing. Top) We simulated work loops in the half sarcomere model at phases of activation of 0 to 0.95 in 0.05 increments, as well as ov... by Travis Carver Tune (21012349)

Four‐state Markov model parameter inputs. by Collin Mangenah (2282995)

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)

Robustness of evoked firing responses to variations in steady-state membrane potential. by Farhad Razi (22076077)

Salience of authority-vice phrases by year. by Daniel Hart (440152)

“…<div><p>We assessed the effects of the 9/11/2001 terrorist attacks on the salience of moral words and phrases in the United States, Great Britain, and Spanish-speaking countries, focusing particularly on those phrases related to authority and loyalty. …”

Salience of fear words by year by country. by Daniel Hart (440152)

“…<div><p>We assessed the effects of the 9/11/2001 terrorist attacks on the salience of moral words and phrases in the United States, Great Britain, and Spanish-speaking countries, focusing particularly on those phrases related to authority and loyalty. …”

Salience of authority-virtue phrases by year. by Daniel Hart (440152)

“…<div><p>We assessed the effects of the 9/11/2001 terrorist attacks on the salience of moral words and phrases in the United States, Great Britain, and Spanish-speaking countries, focusing particularly on those phrases related to authority and loyalty. …”

Salience of loyalty-virtue phrases by year. by Daniel Hart (440152)

“…<div><p>We assessed the effects of the 9/11/2001 terrorist attacks on the salience of moral words and phrases in the United States, Great Britain, and Spanish-speaking countries, focusing particularly on those phrases related to authority and loyalty. …”

Salience of loyalty-vice phrases by year. by Daniel Hart (440152)

“…<div><p>We assessed the effects of the 9/11/2001 terrorist attacks on the salience of moral words and phrases in the United States, Great Britain, and Spanish-speaking countries, focusing particularly on those phrases related to authority and loyalty. …”

Salience of vice and virtue by year in U.S. by Daniel Hart (440152)

“…<div><p>We assessed the effects of the 9/11/2001 terrorist attacks on the salience of moral words and phrases in the United States, Great Britain, and Spanish-speaking countries, focusing particularly on those phrases related to authority and loyalty. …”

AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, f... by Madeline Jarvis-Cross (22394247)

Trend coefficients and AUC statistics across four control populations (“Pop’n 1” to “Pop’n 4”) and four warming populations (“Pop’n 5” to “Pop’n 8”), as calculated from empirical t... by Madeline Jarvis-Cross (22394247)