Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

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Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

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The variance explained in sediment transport increased with sample size, but sampling beyond roughly 500 data points provided diminishing improvements. by Andrew Kulmatiski (833256)

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Units of non-point source agricultural pollution. by Cangyu Li (10312677)

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Primary and secondary efficacy end points (intention-to-treat population). by Benjamin R. Lewis (22279166)

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Cephalometric measurement points. by Lijuan Liu (136685)

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Temporal variation characteristics of the decoupling state of agricultural non-point pollution and output in Henan Province, China. by Cangyu Li (10312677)

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Pollution loads of different agricultural non-point sources pollutants between 2001 and 2023 in Henan Province, China. by Cangyu Li (10312677)

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S1 File - Assessment and analysis of agricultural non-point source pollution loads in Henan, China: 2001–2023 by Cangyu Li (10312677)

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Percent pollution of different agricultural non-point sources pollutants between 2001 and 2023 in Henan Province, China. by Cangyu Li (10312677)

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Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

Simulation of trypanosome propulsion with a decreasing wave length for flagellum actuation toward the anterior part. by Florian A. Overberg (21402904)

The number of <i>Sebastes</i> species observed in each biological sample decreases with distance from the seafloor. by Stephanie A. Matthews (22756543)

Selection of soil particle sampling points. by Xueting Ma (390540)

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scRNAseq analysis of <i>Rx > </i>c<i>re Myrf</i>^<i>fl/fl</i> mice shows decrease in the RPE cell population. by Michelle L. Brinkmeier (18709048)

“…(D) Bar charts show the decrease in cell number within the RPE mutant (M) cluster across each time point.…”

Nightlight densities in the lowest, around the median and the highest ranked cities in the sample and the distribution of firms in each city. by Saul Estrin (8629173)

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(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

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(A) Yellow high fluidity silicone rubber is in the inner surface of the prosthesis, and red arrow shows the unfilled part. by Long Li (6555)

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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. …”

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”