Anonymized raw cephalometric data. by Lijuan Liu (136685)

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

Change in computation time for an increase in number of nodes <i>N</i> and number of people in system <i>K</i> (<i>C</i> = 3). by Shinya Mizuno (3689788)

<i>japonicum</i> infection induces MST1 activation. by Jianyang Li (461703)

Subjects:

MST1was downregulated in macrophages from fibrotic livers of <i>S</i>. <i>japonicum</i>-infected mice and SEA-treated RAW264.7 cells. by Jianyang Li (461703)

Subjects:

Area under the curve (AUC) for external validation performance. by Junichi Kushioka (12236447)

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>…”

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". …”

(A) The circadian clock model and (B) the relevance of waveform characteristics to temperature compensation (<i>magenta</i>) and synchronization (<i>cyan</i>). by Shingo Gibo (21762920)

“…Assuming that the parameters <i>k</i>₁, <i>k</i>₂, <i>k</i>₃, <i>p</i>₁, <i>p</i>₂, and <i>r</i> increase with increasing temperature, we model the reactions rates using the Arrhenius law , where <i>b</i>_<i>i</i>, <i>E</i>_<i>i</i>, <i>A</i>_<i>i</i>, <i>R</i>, and <i>T</i> are the rate constants, activation energies, frequency factors, gas constant (<i>R</i> = 8.314), and absolute temperature, respectively. …”

TITAN increaser diatom heatmap. by Brent J. Bellinger (21156150)

<i>M</i>. <i>separata</i> herbivory primes systemic leaves for increased JA and JA-Ile. by Bo Fan (383210)

Individual values for figures. by Robert S. Leigh (10329847)