Age of patients with visceral leishmaniasis according to the immunosuppression type in metropolitan France (n = 403; 4 missing data); red, mean ± standard deviation. by Grégoire Pasquier (3317223)

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Immune profiles among the patients with visceral leishmaniasis in metropolitan France (n = 385; missing data = 22). by Grégoire Pasquier (3317223)

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Age of patients according to the leishmaniasis clinical form in metropolitan France (n = 509; 8 missing data); red, mean ± standard deviation. by Grégoire Pasquier (3317223)

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Number of reported cases to the French National Reference Centre for Leishmaniasis by year. by Grégoire Pasquier (3317223)

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Distribution of the reported leishmaniasis cases in French Guiana by locality from 2003 to 2020). by Grégoire Pasquier (3317223)

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Fraction of time, the overall of the studied data trends durations follow a geometric distribution with parameter <i>p</i> = 0.5, and with any <i>p</i>, both cases for a significan... by Héctor Raúl Olivares-Sánchez (13014866)

Percent of projected incident cases averted and deaths averted over 2021–2035 for interventions to increase active case finding for TB, to reduce tobacco smoking, and to reduce har... by Katherine C. Horton (3104685)

Different cases of drift diffusion model. by Jingming Xue (21526771)

Forest plots comparing demographic factors within SARS-CoV-2 variant waves. by Rebecca M. Cantu (19787070)

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<b>Deceived by Elevated A1C: Cases of Misdiagnosed Diabetes</b> by Kasper Munch Lauridsen (16943493)

“…Conditions associated with increased or decreased erythrocyte turnover affect the A1C fraction (4), and in such cases, A1C may not reflect true average plasma glucose (5,6). …”

The number of expected vaccinations decreases with the expected vaccination time, whereas the peak of infections increases. by Simon K. Schnyder (16632244)

“…These data follow the same qualitative trend as for certain vaccination timing, but the sharper the probability distribution (the higher the <i>n</i>), the more closely the result approaches the case of certain vaccination at <i>t</i> = <i>t</i>_<i>v</i>. …”

Excel spreadsheet including, in separate sheets, all numerical values used for Figs 1, 2, 3, 4 and S1. by Carla Maia (349844)

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(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. …”

Odds ratios for IVW MR estimates for each outcome with <i>cis</i>CRP exposures and are on the scale of lnCRP decrease. by Fergus W. Hamilton (10724401)

Dependence of Storage Capacity on Noise Strength <i>r</i>₃ for different values of Potential Width <i>C</i>. by Yu Feng (445691)

“…However, for larger values of <i>C</i> (e.g., <i>C</i> = 4, 5), the storage capacity first increases with noise intensity, reaches a peak and then decreases. …”

Fig 1 - by Marcelo Cunha (12400935)

Increased heterogeneity in susceptibility (larger <i>C</i>_<i>c</i>), greater fractions of individuals infected (larger <i>E</i>_<i>c</i>), and increased sample sizes (larger <i>F</i>) enhance our power to detect heterogeneity in susceptibility in the continuous case. by Beth M. Tuschhoff (19251419)

Performance of the developed cNb-ELISA. by María Florencia Pavan (22538063)

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The rate the bias decreases with sample duration is higher for cells with higher activity levels. by Liron Sheintuch (12078310)

Effects of <i>u</i> and <i>c</i> on supply chain profits in the <i>WR</i> case. by Zhongmiao Sun (17271247)