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)

Summary statistics of the sample. by Yulian Ding (5984591)

“…This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. We draw a sample of 1200 participants from five major cities across China to analyze the warning label’s effectiveness in reducing urban consumers’ purchases of SSBs, with a particular emphasis on how an individual’s habit strength affects their reaction to the warning label. …”

Detection of HD in non-human samples. by Philippe Ndzomo (17706039)

“…</p><p>Methods</p><p>Alongside detection of human cases of cutaneous ulcers from villages in Cameroon, we additionally collected samples from animals (dogs, cats, flies), fomites (bedsheets, clothing, benches, doors), and water sources (marigots and lakes). …”

A sample choice question with a warning label. by Yulian Ding (5984591)

“…This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. We draw a sample of 1200 participants from five major cities across China to analyze the warning label’s effectiveness in reducing urban consumers’ purchases of SSBs, with a particular emphasis on how an individual’s habit strength affects their reaction to the warning label. …”

Sampling locations for banana aphids. by Aime Cheoh Enoh (20141758)

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)

A sample choice question without a warning label. by Yulian Ding (5984591)

“…This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. We draw a sample of 1200 participants from five major cities across China to analyze the warning label’s effectiveness in reducing urban consumers’ purchases of SSBs, with a particular emphasis on how an individual’s habit strength affects their reaction to the warning label. …”

Schematic diagram of rock samples. by Dengke Yang (842532)

“…The results reveal that (1) freeze-thaw cycles exert a significant influence on the rock’s creep behavior, with axial strain, instantaneous strain, and creep strain increasing progressively with the number of freeze-thaw cycles; (2) dual-fractured rock samples with varying fracture angles exhibit distinct differences in creep phenomena, where increased fracture angles result in pronounced increases in instantaneous and creep strains, and higher horizontal stress levels lead to greater strain generation; (3) all rock samples with different pre-existing fractures exhibit rock bridge breakthrough during creep failure, and the variation in fracture angle affects the failure mode; (4) and the long-term strength of the rock varies with changes in fracture angle and freeze-thaw cycle frequency, showing an increasing trend with greater fracture angles but a rapid decrease with increasing freeze-thaw cycles. …”

Summary of sample descriptive statistics. by K. Kanoho Hosoda (19929050)

Characteristics of Study Sample. by Vitaly Lorman (16814000)

Data sample demographics. Note that AP refers to anti-psychotic medication, and AD refers to anti-depressive medication. Thus, AP and AD in this table refer to the percentage of pa... by Eloy Geenjaar (21533195)

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

Sample Posts from the ADHD dataset. by Ahmed Akib Jawad Karim (20427740)

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)

Survey sample distribution. by Yin Liu (50073)

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)

Characteristics of the sample. by Ana Beato (20489933)

Effect of sample size on reproducibility. by Jan Willem Koten (17743224)