Times to tracheal extubation, sternal recumbency and standing (minutes) following inhalant anesthesia and final rectal temperatures (°C) in each premedication-treatment group. by Jacob P. Rastas (20642173)

The distribution of water footprint levels in China. a, 2005. b, 2010. c, 2015. d, 2022. by Jianqin Ma (20328414)

Human tumor cell-derived ctDNA distinguished between CDX models of different anatomical sites. by Ruiqing Fu (11556040)

Corrected measurements of phantom distance after calibration. by Jan Scherberich (3313245)

Phantom edge profile curves in pixel. by Jan Scherberich (3313245)

Phantom edge profile curves. by Jan Scherberich (3313245)

Frequency distribution results of differentially expressed genes. by Simone Schüle (10018355)

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Results of transcriptional qRT-PCR measurements. by Simone Schüle (10018355)

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Raw data of transcriptional qRT-PCR results and γH2AX DNA double-strand break analyses. by Simone Schüle (10018355)

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S1 Fig - by Simone Schüle (10018355)

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Frequency distribution results of excess radiation-induced foci. by Simone Schüle (10018355)

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Study overview. by Simone Schüle (10018355)

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Immunofluorescence microscope images of (co)-localizing γ-H2AX + 53BP1 foci for unexposed and exposed samples of one donor. by Simone Schüle (10018355)

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Overview of miRNA evaluation sequence. by Simone Schüle (10018355)

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Results of DNA double-strand break analysis. by Simone Schüle (10018355)

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Example of the 2x2 table for calculating the recall, accuracy, false positive, and false negative values. by Guilherme Cezar (17816844)

Feature importance and beeswarm plot determined by mean absolute SHAP values for the DeepSurv model. by Theophilus Gyedu Baidoo (21162511)

Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf by Song Hao (5700608)

“…The vertebral Hounsfield unit (HU) value and the maximum width and maximum depth of the vertebral endplate defect were measured and standardized. …”

AUC statistics comparing statistical trends in control and test populations. by Madeline Jarvis-Cross (22394247)

“…<p>To evaluate statistical trends, we calculated Kendall’s rank correlation coefficient during the pre-critical interval (here, days one to sixty), and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger trends. …”

AUC surface with respect to regularization parameters <i>λ</i> and . by Yangsong He (13909371)