Typical measurement parameters. by Lijuan Liu (136685)

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Cephalometric measurement points. by Lijuan Liu (136685)

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Posttreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

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Anonymized raw cephalometric data. by Lijuan Liu (136685)

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Posttreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

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Comparison of pretreatment cephalometric variables between premolar extraction and mandibular third molar extraction groups. by Lijuan Liu (136685)

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Demographic characteristics of study participants. by Lijuan Liu (136685)

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Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

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Comparison of treatment effects between premolar extraction and mandibular third molar extraction groups. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

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Comparison of upper and lower arch crowding between premolar extraction group and the mandibular third molar extraction groups. by Lijuan Liu (136685)

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Intraoperative facial and intraoral photographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

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Pretreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

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Pretreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

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Hydrogen volume fraction distribution at different pressures (a) 1 MPa; (b) 3 MPa; (c) 5 MPa. by Weiqing Xu (1279959)

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 by 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>…”

<i>X</i> and <i>4</i>^{<i>^th</i>} chromosome nondisjunction frequency. by Stacie E. Hughes (22298414)

“…However, the placement of crossovers was altered, displaying an increase in frequency in the centromere-proximal euchromatin indicating a decrease in the centromere effect, similar to that observed in <i><i>D. mauritiana</i></i> females. …”

Average stability values (mean ± standard deviation) and statistical results. by Hyung Suk Yang (20442438)

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Individual stability values for different gait events under various conditions. by Hyung Suk Yang (20442438)

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Dynamic stability based on the Feasible Stability Region (FSR). by Hyung Suk Yang (20442438)

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The list of sequences of primers in this study. by Jianyang Li (461703)

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