Top k-NN clusters of metabolites decreased at 4 hours. by Zarazuela Zolkipli-Cunningham (5234186)

Top k-NN cluster of metabolites decreased at 30 minutes. by Zarazuela Zolkipli-Cunningham (5234186)

Data_Sheet_1_“Expert persuasion” can decrease willingness to pay for sugar-containing food.PDF by Ioannis Ntoumanis (11904629)

“…Here, we investigate how a healthy eating call—first-person narrative by a health expert—affects individuals’ willingness to pay (WTP) for sugar-free and sugar-containing food products. …”

Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes. by Annaëlle Le Steunf (19838110)

“…<p>Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes.…”

Data - willing to pay of dog owners. by Fentahun Mengie (20862454)

“…This study was conducted in North West Ethiopia to understand the intention and willingness to pay (WTP) of dog owners related to rabies control and factors affecting rabies control measures. …”

Baseline characteristics of CFCC and self-pay patients hospitalized with COVID-19. by Anisha P. Ganguly (18081295)

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

The test steps. by Ruihong Wang (1932328)

Effective contact rate over time for the different modelling scenarios considered: fixed, continuously increasing, continuously decreasing and with a step-decrease. by Joshua Looker (21390948)

“…<p>Effective contact rate over time for the different modelling scenarios considered: fixed, continuously increasing, continuously decreasing and with a step-decrease.</p>…”

Willingness-to- pay for COVID-19 vaccine (N = 3541). by Yulan Lin (2197282)

Brief summary highlighting the study methology. a) AI Tool Development and Pediatric Repurposing: The AI tool was originally trained and validated using a large dataset of adult ch... by Prerana Agarwal (21781515)

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Bibliometric methods for identifying AI-assisted papers by Andrew Gray (10234100)

Identification and Description of Emotions by Current Large Language Models - Dataset by Suketu Patel (17748162)

“…However, recent advancements in large language models (LLMs) challenge this notion by demonstrating an increased capacity for understanding and generating human-like text. …”

AI augmentation in evidence synthesis workflows. by Alaa Al Khourdajie (13843729)

“…This essay provides a clear path for the responsible, expert-led integration of AI, ensuring it serves to augment, not replace, human expertise.…”

Solving steps. by Mengkai Liu (13919242)

Strengthening assessment integrity in the era of generative AI: evidence from a large-scale study by Liz Hardie (22277602)

“…This large-scale empirical study at a UK university, based on 590 student and 354 AI-generated answers, provides evidence on markers’ ability to detect the GenAI scripts and whether some assessment types are more robust than others against GenAI misuse. …”

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

AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms by I. de Zarza (17378452)

“…<p dir="ltr">Presentation for PhD thesis:</p><p dir="ltr">AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms https://doi.org/10.4995/Thesis/10251/202201</p><p dir="ltr">Abstract:</p><p dir="ltr">The proliferation of autonomous systems, and their increasing integration with day-to-day human life, have opened new frontiers of research and development. …”

Effect of step-by-step filling and compaction on the coarse aggregates. by Zhijun Liu (35566)

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Results of the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

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