Pairwise assessment of SNR—Inside material. حسب Briya Tariq (19666901)

Pairwise assessment of SNR—Immediate vicinity. حسب Briya Tariq (19666901)

Signal-to-noise ratio analysis. حسب Briya Tariq (19666901)

Voxel-wise spectral response. حسب Briya Tariq (19666901)

External view of the equipment. حسب Yasumoto Matsui (4740969)

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Demographic and cross-sectional area data. حسب Yasumoto Matsui (4740969)

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Reproducibility outcomes. حسب Yasumoto Matsui (4740969)

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Cross-sectional muscle images. حسب Yasumoto Matsui (4740969)

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Participant recruitment flowchart. حسب Yasumoto Matsui (4740969)

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S1 File - حسب Yasumoto Matsui (4740969)

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Demographic information of the participants included in the reproducibility analysis. حسب Yasumoto Matsui (4740969)

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Correlation among the three types of images. حسب Yasumoto Matsui (4740969)

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Characteristics of cross-sectional images of the quadriceps. حسب Yasumoto Matsui (4740969)

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Measurement procedure. حسب Yasumoto Matsui (4740969)

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A summary of all significant findings from the multi-factor ANOVA. For brevity, we have included only the metrics and effects that were statistically significant (p<0.05). In the f... حسب Alex J. Allphin (17102503)

Averages and standard deviations for quantitative metrics grouped by sex, genotype, and exercise state. Standard deviations are shown in parentheses below each average value. From... حسب Alex J. Allphin (17102503)

AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, 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 tre حسب Madeline Jarvis-Cross (22394247)

"…To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, 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 tre</p>…"

Percent difference in Precision-Recall AUC, sensitivity, and specificity for pooled models relative to eBird-only models. حسب Reid Rumelt (21680956)

"…<p>Precision-Recall AUC and sensitivity were higher in all species (positive values); decreases in specificity, present in all species, were more minor (negative values, note differences in x-axis scales between panels).…"

Equity Mobilizing Partnerships in Community (EMPaCT): An innovation in equitable community and patient engagement حسب Ambreen Sayani (10757474)

"…This refines the scope of the engagement to focus on what value EMPaCT can bring to the impact partner’s project. …"

Table 2_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx حسب Chao-Chao Chen (21090215)

"…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …"