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)

Variables of trees located at coordinates . by Alexandra M. Campbell (3284094)

Evolutionary tree analysis of ZmSTOMAGEN. by Juan-Juan Xu (18590868)

Pictures of carob tree flowers and orchard. by Carmelo Gómez-Martínez (9384385)

“…To understand how crop production can be enhanced in a sustainable manner, we evaluated the effects of landscape (habitat loss) and orchard local management (farming system: conventional vs. ecological; male-to-female ratio) on pollinator communities and crop production using data on 20 carob tree orchards across Mallorca Island (Spain). …”

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)

Phylogenetic tree analysis of DlERF10 protein. by Ruijin Zhou (15918112)

<i>Oenocarpus bacaba</i> palm tree (A) and fruit (B). by Eudes Alves Simões-Neto (19697968)

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)

Neighbor-Joining phylogenetic tree. by Yanxun Zhou (789749)

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)

Mean daily sediment transport (g m^-2 day^-1) under different vegetation types and soil cover in southeastern Utah, USA, 2004 to 2018. by Andrew Kulmatiski (833256)

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The variance explained in sediment transport increased with sample size, but sampling beyond roughly 500 data points provided diminishing improvements. by Andrew Kulmatiski (833256)

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Mean sediment transport (g m^-2 day^-1) by season (Spring, Summer, Winter). by Andrew Kulmatiski (833256)

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Study area (a), location of 52 sediment collection devices (b) and photograph of one of the collection devices in the field, western USA. by Andrew Kulmatiski (833256)

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Variables used to describe variation in sediment transport. by Andrew Kulmatiski (833256)

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Variable importance in Random Forest model of seasonal sediment transport with 1468 observations from 2009 to 2018. by Andrew Kulmatiski (833256)

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Partial dependence plots. by Andrew Kulmatiski (833256)

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