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. …”

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

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)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

Mean parameter values for the selected crops. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…The quantitative results from Phase 1 demonstrated a decreasing trend in all primary outcomes. In phase 2, participants acknowledged the activities’ relevance, reported overall satisfaction with the program, and showed great enthusiasm and willingness to learn more. …”

Decrease in loss during the training process. by Muhammad Idrees (92773)

Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

Mean of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

Mean of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

Means for global competence pre- and post-test scores. by Esther Kim (2996622)

<b>Aversive learning decreases aversive-reinforcer sensitivity</b><b> </b><b>in honey bees</b> by Martin GIURFA (8649351)

Assessment values of machine learning models. by Bin Pan (742525)

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Machine Learning Models for High Explosive Crystal Density and Performance by Jack V. Davis (9175514)

“…Notably, our model for crystal density surpassed the accuracy of all current models and decreased the root-mean square error (RMSE) of the previous best model by 20%. …”

Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups. by Cristina Dolciotti (16317330)

Passive sensing data. by Thierry Jean (20691795)

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Surveys. by Thierry Jean (20691795)

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