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. …”

The proportion of lake area which exhibited decreases (blue bars) versus increases (green bars) in chl-a for the largest 18 lakes in the world. by Benjamin M. Kraemer (7526225)

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

“…CVLT-II ICC = 0.992; SDMT ICC = 1.000; BVMT-R ICC = 0.822–853), with minimal scoring discrepancies per test (CVLT = 1.05, SDMT = 0.05, BVMT-<i>R</i> = 1.05–1.19). …”

Performance of <i>MH</i>_<i>G</i> vs. <i>H</i>_<i>G</i>. by Almiqdad Elzein (13141038)

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Subjects:

Correlation between Ct values. by Jennifer R. Hamilton (10880044)

Ct values for gene transcripts. by Kara M. Rood (12152321)

RLU/CO and Ct values for concordant and discordant cases. by Stephanie S. Liu (11174262)

Sample size, demographic information, and Ct values of the sequenced samples. by Justin M. Napolitano (12344635)

A method for estimating epidemiologically adjusted Ct values. by Helen R. Fryer (16828192)

Adjusted Ct values plotted against different factors. by Helen R. Fryer (16828192)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

The 452 registrations of the 750 feature vectors after dimension reduction using the AI algorithm autoencoder, the 6 clusters obtained with the DBSCAN clustering algorithm are colo... by Gerhard Fritsch (405224)

Subjects:

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Decreased MBP levels in the brain in <i>Large</i>^{<i>myd/myd</i>} mice. by Shigefumi Morioka (8893511)

“…Decreased expression levels of MBP were observed in <i>Large</i>^{<i>myd/myd</i>} mice compared with those in control mice. …”

Effect of serial dilution on CT values of positive samples. by Vibol Iem (7504520)

Subjects:

Linear regression analysis of Ct values for positive pairs. by Lauren Orser (16617922)

Correlation analysis between short-term insulin-like growth factor-I and glucose intolerance status after transsphenoidal adenomectomy in acromegalic patients: a large retrospectiv... by Yi-Lin Li (826287)

“…Results: The follow-up levels for random GH, GH nadir, and the percentage of the upper limit of normal IGF-I (%ULN IGF-I) were decreased significantly. The percentages of normal (39.0%), early carbohydrate metabolism disorders (33.0%) and diabetes mellitus (28.0%) changed to 70.2%, 16.5% and 13.3%, respectively, after TSA. …”