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)

Non-metric multidimensional scaling (NMDS) plots of endophytic bacterial communities at OTUs level calculated with the method of Bray Curtis according to the plant tissue (A), phen... by Rabiath F. R. Adigoun (14189090)

Table_1_Arthropod arbiters: natural enemy communities mediate the effects of landscape and local-scale complexity on Lygus-induced crop loss in organic strawberries.docx by Adrian Lu (6722684)

“…We found that landscape-scale woody habitat proportion indirectly decreased crop loss through its positive effect on natural enemy abundance, while grassland proportion had the opposite effect due to its association with an important strawberry pest (Lygus spp.). …”

Data_Sheet_1_Dietary patterns, genetic predisposition, and risk of cholelithiasis: a large-scale prospective cohort study.pdf by Kecheng Jin (19748674)

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) A cropped microscope image from the LIVECell test set, (b) overlayed ground-truth cell masks, and (c) a distance map computed from these cell masks. by Alexandra Dunnum VandeLoo (22209218)

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)

Processed dataset for analysis. by Angela M. Klock (2631601)

“…<div><p>On the global scale, agricultural crop yields have decreased or plateaued over the last several decades. …”

Feature engineering. by Youli Jiang (15249070)

Data for: Climate change increases evaporative and crop irrigation demand in North America by Emily Williams (22284526)

Data Sheet 1_Evaluating ecosystem multifunctionality in tree-based intercropping: a case study from southern Québec, Canada.docx by David Rivest (3311826)

“…Plots containing poplar (alone or mixed with red oak) exhibited lower soil moisture and light availability compared to those with red oak only, resulting in a greater decrease in wheat yield at the tree-crop interface. …”

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)

Image 1_Think sink, not source: how vertical farming’s potential is limited by crop breeding.jpeg by Gertjan Meeuws (22366537)

“…<p>Vertical farming (VF) could play a role in addressing some global food challenges, yet it requires higher crop yields and lower costs to become viable at large scales. …”

Supplementary file 1_Think sink, not source: how vertical farming’s potential is limited by crop breeding.docx by Gertjan Meeuws (22366537)

“…<p>Vertical farming (VF) could play a role in addressing some global food challenges, yet it requires higher crop yields and lower costs to become viable at large scales. …”

Data from: Can manure application method and timing with cover crops reduce ammonia (NH3) and nitrous oxide (N2O) gas losses and sustain corn yield? by Sailesh Sigdel (22062727)

“…When IM was EARLY compared to LATE, CC N increased 84%, cumulative N2O loss decreased 55%, and corn yield was similar. Injecting manure to growing cover crops offers a strategy for reducing detrimental NH3 and N2O emissions and maintaining corn yield.…”