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. …”

Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively.... by Zoë Parker Cates (22184243)

“…The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively. …”

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

Mean 0-30 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

Mean 0-20 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

Mean 0-10 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

Validation of child labor measures using third-party data, households with all children in school. by Guilherme Lichand (11410286)

Mean responses to the Oxford Utilitarianism Scale and its subscales. by Aistė Ambrasė (22505574)

Subjects:

Individual and mean EQ-5D VAS scores in the PP-group (0 = baseline, 1 = after the first day of treatment, 2 = after the second day of treatment, 3 = after the third day of treatmen... by Marcus Persson (20496333)

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)

Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”

Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”

Sociodemographic Characteristics of Sample 2. by Aistė Ambrasė (22505574)

Subjects:

English and German versions of OUS. by Aistė Ambrasė (22505574)

Subjects:

Mean scores of IB-DE, IH-DE, and IB-DE items in Sample 1 and Sample 2 as well as women and men across the samples. by Aistė Ambrasė (22505574)

Subjects:

AL scores at baseline and follow-ups. by Eric Priedemann (21175492)

“…</p><p>Results</p><p>Average AL scores of men decreased, while women’s AL scores returned to baseline levels after an initial decrease observed at the first follow−up. …”

Mann-Kendall test for the mean temperature index. by Chengyuan Hao (21615653)

“…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”

Mean responses to the OUS-DE, its subscales, quarantine moral judgement, quarantine moral behavior, and moral behavior during Christmas and New Year in Sample 3. by Aistė Ambrasė (22505574)

Subjects:

Geometric mean anti-<i>Na</i>-GST-1 IgG subclass levels over time. by David J. Diemert (8135568)