What have you done to promote your own health during the COVID-19 pandemic. by Iben Axén (3430445)

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)

Study flow chart. by Raymond Atwine (18574812)

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Comparison table on different studies on suitable crop prediction system. by Gourab Saha (8987405)

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Baseline characteristics of study participants. by Raymond Atwine (18574812)

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Characteristics of the study participants. by Aney Rijal (21262075)

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Outcome comparisons of study participant characteristics. by Raymond Atwine (18574812)

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Sample Size for QoL tracking study for young people aged 18 to 24 in Gauteng, 2016 - 2024. by Edmore Marinda (286299)

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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)

Market survey–Study protocol. by Shanmugam Shobana (14369184)

“…The overall compliance of the nutrient content claims for the studied food products is 80.5%. This study gives an overall view about the nutritional quality of the studied convenience food products and snacks in Indian market.…”

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)

Expected marginal mean QoL scores for two age cohorts over 2016–2024 in Gauteng, South Africa. by Edmore Marinda (286299)

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Socio-demographic factor for two cohorts aged 18-24 and 32-38 in 2016 in Gauteng. by Edmore Marinda (286299)

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Expect marginal mean score for individual QoL dimensions for two age cohorts over time in Gauteng South Africa, 2016 - 2024. by Edmore Marinda (286299)

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Variables making up each of the seven dimensions of the QoL Index. by Edmore Marinda (286299)

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Changes in QOL scores among two cohorts aged 18-24 years and 32-38-year-olds in 2016 over four rounds of QOL surveys 2016 - 2024 in Gauteng, South Africa. by Edmore Marinda (286299)

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