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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
Published 2025“…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. …”
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…Histograms show the mean firing rate for the corresponding neuron along each segment of the virtual track. (B) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.132 ± 0.048, APP/PS1 = 0.128 ± 0.051, p < 0.005, two-sided Wilcoxon rank-sum test, n<sub>C57BL/6</sub> = 305 units from 5 recording sessions, n<sub>APP/PS1</sub> = 180 units from 4 recording sessions). …”
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Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1.
Published 2024“…<p>(A) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.134 ± 0.050, APP/PS1 = 0.132 ± 0.054, p < 0.01, two-sided Wilcoxon rank-sum test, n<sub>C57BL/6</sub> = 229 units from 5 recording sessions, n<sub>APP/PS1</sub> = 124 units from 4 recording sessions). …”
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Feasibility of AI-powered assessment scoring: Can large language models replace human raters?
Published 2025“…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). …”
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