Supporting information – data for plots. by Maria Nadinskaia (22662419)

A panel of HIV forecasts for the Northeast United States obtained using data through 2022. This figure shows the forecasts produced for the Northeast United States utilizing yearly incident HIV diagnoses obtained from the publicly available Centers for Disease Control and Prevention (CDC) <i>AtlasPlus</i> dashboard [55], and assuming the default settings of <i>StatModPredict</i>. It can be obtained from the top box of the <i>Forecasting</i> page by clicking the “See Panels” option. For each model, the grey region corresponds to the selected prediction interval, the vertical dashed line is the forecast date (i.e., the last date used to calibrate the model), the red line is the estimated fit or forecast, and the open circles are the observed data. As can be seen, all four models forecast a decrease in the number of HIV diagnoses through 2030. by Amanda Bleichrodt (15236509)

“…As can be seen, all four models forecast a decrease in the number of HIV diagnoses through 2030.…”

Structural equation model: Receiving kindness, giving kindness, reduced stress and well-being mediated by institutional identity. by K. Kanoho Hosoda (19929050)

Model effects of receiving kindness on reduced stress and well-being mediated by institutional identity. by K. Kanoho Hosoda (19929050)

Model effects of giving kindness on reduced stress and well-being mediated by institutional identity. by K. Kanoho Hosoda (19929050)

Changes in temporal gait characteristics, kinematics, and kinetics. by Delaney E. Miller (22305505)

Daily number of adverse outcomes (bars) and area under the receiver operating characteristic curve per day of the fullPIERS model. by Guiyou Yang (10259597)

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Daily positive/negative likelihood ratios calculated with thresholds of different risk groups. by Guiyou Yang (10259597)

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Decision curve analysis of PIERS-ML model on day 0 (a), day 4 (b), day 8 (c), and day 13 (d). by Guiyou Yang (10259597)

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Daily number of adverse outcomes (bars) and area under the receiver operating characteristic curve per day of the PIERS-ML model. by Guiyou Yang (10259597)

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Decision curve analysis on day 0 (a), day 4 (b), day 8 (c), and day 13 (d) (fullPIERS model). by Guiyou Yang (10259597)

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Daily number of adverse outcomes (bars) and area under the precision-recall curve (AUC-PRC) per day of the fullPIERS model. by Guiyou Yang (10259597)

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Daily number of adverse outcomes (bars) and area under the precision-recall curve (AUC-PRC) per day of the PIERS-ML model. by Guiyou Yang (10259597)

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Sankey diagram showing an overview of the dynamic shifts of the 5 risk groups from day 0 to day 14 after admission. by Guiyou Yang (10259597)

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Mean predicted probabilities of complications in the next 48 h (lines) and number of patients with measurements (bars) in uncomplicated course (blue) and adverse outcome group (pin... by Guiyou Yang (10259597)

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Mean predicted probabilities of complications in the next 48 h (lines) and number of patients with measurements (bars) in uncomplicated course (blue) and adverse outcome group (pin... by Guiyou Yang (10259597)

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Characteristics of women at admission. by Guiyou Yang (10259597)

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Case overview. by Nelyane N. M. Santana (5217074)

“…Using design-based stereological techniques, we estimated the total number and somal volume of CB⁺ neurons in DLG layers. …”

Global transcriptional analysis for activated gametocytes of Δ<i>pbpp6</i> parasites by RNA-seq. by Yonghui Feng (12227596)

Monthly frequency of occurrence of <i>Lepisiota frauenfeldi</i> in the 20 plots of the control area, and the amount of Pyriproxyfen applied. by Masashi Yoshimura (328061)