Table of step height. by Jianbo Jia (717814)

“…Finally, by making corresponding test blocks, it was found that the peak value of forward resistance when the 10.5°test block crossed the steps of 1mm, 2mm and 3mm height decreased by 19.8%, 25.0% and 13.9% respectively, and the mean value decreased by 30.8%, 27.2% and 24.1% respectively, which was close to the simulation results, and verified the accuracy of the finite element analysis results.…”

The well wall step. by Jianbo Jia (717814)

“…Finally, by making corresponding test blocks, it was found that the peak value of forward resistance when the 10.5°test block crossed the steps of 1mm, 2mm and 3mm height decreased by 19.8%, 25.0% and 13.9% respectively, and the mean value decreased by 30.8%, 27.2% and 24.1% respectively, which was close to the simulation results, and verified the accuracy of the finite element analysis results.…”

Different steps of the fabrication process. by Md. Abu Daud (21485629)

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)

Descriptive statistics of the mean %MVC values for each stage. by Brienna Eteson (21416834)

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)

Adjustment step size. by Qingnan Ji (22662198)

“…The data undergo preprocessing steps including noise reduction, feature extraction (e.g., Mel Frequency Cepstral Coefficients and keypoint detection), and temporal alignment. …”

Flow Chart of the Study Steps. by Azam Hosseinpour (13434515)

Results of multiple logistic regression analysis to identify potential factors associated with the successful reduction of HPC and F+ coliphage in the POU UVC LED effluent. Single... by Hania Zanib (21864477)

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)

State transition dynamics of reputation considering third-order information and multiple reputation values: by Hitoshi Yamamoto (738861)

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)

Wnt signaling decreases the recruitment of RAB8a to basal bodies. by Cheng Yuan (160315)

Grouping codes according to drivers and themes. by Jennie Ochshorn (21300213)

“…All approaches offer an automated component as the first step (a mobile app) and either an in-person, virtual reality (VR), or video telehealth session as the second step. …”

Intervention models and descriptions. by Jennie Ochshorn (21300213)

“…All approaches offer an automated component as the first step (a mobile app) and either an in-person, virtual reality (VR), or video telehealth session as the second step. …”

Definitions of drivers and within context. by Jennie Ochshorn (21300213)

“…All approaches offer an automated component as the first step (a mobile app) and either an in-person, virtual reality (VR), or video telehealth session as the second step. …”

Feature engineering. by Youli Jiang (15249070)