Interaction plot with 95% confidence intervals generated from GAM regression model 1 in Table 2 examining ISS and management group interactions. by Randeep S. Jawa (20489181)

Interaction plot with 95% confidence intervals generated from the GAM model 2 in Table 2 examining spleen AIS and management group interactions. by Randeep S. Jawa (20489181)

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)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…The widespread dissemination of AI-generated disinformation adds complexity to the existing challenges of the ongoing infodemic, significantly affecting public health and the stability of democratic institutions.…”

Effect of tuning the regularization strength on generated DVCs. by Indu Ilanchezian (21369996)

Embracing GenAI in Engineering Education: Lessons from the Trenches by Lorena A. Barba (97553)

“…</p><p dir="ltr">This talk presents a candid reflection on integrating generative AI into an Engineering Computations course, revealing unexpected challenges despite best intentions. …”

AI KRegression by CHIN-CHENG CHU (20718575)

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)

Data Sheet 1_Integrating sensor data and GAN-based models to optimize medical university distribution: a data-driven approach for sustainable regional growth in Saudi Arabia.docx by Abdullah Addas (16917393)

“…</p>Discussion<p>The research accentuates the need to include AI and sensor technology to develop educational infrastructures. …”

Data Sheet 2_Integrating sensor data and GAN-based models to optimize medical university distribution: a data-driven approach for sustainable regional growth in Saudi Arabia.docx by Abdullah Addas (16917393)

“…</p>Discussion<p>The research accentuates the need to include AI and sensor technology to develop educational infrastructures. …”

Table 1_Interacting with fallible AI: is distrust helpful when receiving AI misclassifications?.docx by Tobias M. Peters (21430412)

“…We created two image classification scenarios in which participants received mock-up AI advice. The quality of the advice decreases during a phase of the experiment. …”

Generation intervals (GI) of the sire-son (SS), sire-daughter (SD), dam-son (DS), and dam-daughter (DD) selection pathways by chronological period for the Ecuadorian Holstein-Fries... by Luis F. Cartuche-Macas (20783301)

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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Demographics by Country and Gender. by Deeviya Francis Xavier (21485043)

“…Regarding creative self-efficacy, we found gender-specific impacts, with male participants experiencing a decrease, contrary to our expectations. Finally, our results supported the hypothesis that cultural orientation influences perceptions of AI, with collectivistic participants being more receptive to AI integration. …”

Study Data. by Deeviya Francis Xavier (21485043)

“…Regarding creative self-efficacy, we found gender-specific impacts, with male participants experiencing a decrease, contrary to our expectations. Finally, our results supported the hypothesis that cultural orientation influences perceptions of AI, with collectivistic participants being more receptive to AI integration. …”

Average age of the sire-son (SS), sire-daughter (SD), dam-son (DS), and dam-daughter (DD) of the different selection pathways in the Holstein-Friesian breed in Ecuador. by Luis F. Cartuche-Macas (20783301)

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Pedigree completeness-derived and inbreeding-derived parameters of the Ecuadorian Holstein-Friesian purebred males during the different chronological periods. by Luis F. Cartuche-Macas (20783301)

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Inbreeding-derived parameters of the Ecuadorian Holstein-Friesian purebred sires during different chronological periods. by Luis F. Cartuche-Macas (20783301)

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Historical paternal lineages (top ten sires) of Ecuadorian Holstein-Friesian cattle (1990–2021). by Luis F. Cartuche-Macas (20783301)

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Inbreeding evaluation of the Ecuadorian Holstein-Friesian purebred males based on the most influential countries affecting genetic diversity from 2010 to 2021 (artificial inseminat... by Luis F. Cartuche-Macas (20783301)

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