The main characteristics of the 35 studies included in the systematic review categorized by their study designs. by Hattapark Dejakaisaya (22238613)

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Average days to heal a wound in 2022 and 2023. by Heba Tallah Mohammed (2822432)

“…</p><p>Results</p><p>Average healing time for all wounds decreased significantly from 62.5 days in 2022 to 38.6 days in 2023, a 38.2% improvement (p < 0.001). …”

Supplementary Material for: Adjunctive active vitamin D (AVD) decreases kidney function during treatment of secondary hyperparathyroidism (SHPT) with extended-release calcifediol (... by figshare admin karger (2628495)

Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. by Tony Wong (779773)

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Exposure to biologics during pregnancy does not affect placental antibody transfer of anti-SARS-CoV-2 neutralizing antibodies, but concomitant corticosteroid exposure may decrease... by Donna E. Leet (22772478)

LDL-C meta-analysis showing in (A) the overall effects of different statin types versus placebo and (B) stratified by statin treatment duration for 3-4 months and longer than 4 mon... by Solima Sabeel (9545738)

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Example of Group C scene material. by Chengmin Zhou (14554562)

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Conditional autonomous driving scenario complexity hierarchy. by Chengmin Zhou (14554562)

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Mean (SD) of fixation duration, fixation counts, and SAGAT accuracy according to scene complexity and autonomous driving information display type. by Chengmin Zhou (14554562)

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Point in time of the first visible deviation from the trail in each scenario. by Chengmin Zhou (14554562)

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Displays types of autonomous driving information: a) P3D display on the W-HUD; b) SR display on the W-HUD; c) display on the AR-HUD. by Chengmin Zhou (14554562)

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Experiment setting. by Chengmin Zhou (14554562)

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Supplementary raw data file of eye-tracking experiment for subjects. by Chengmin Zhou (14554562)

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The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

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A path analysis model of the relationship between various scenario elements and traffic scenarios. by Chengmin Zhou (14554562)

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Experimental flow. by Chengmin Zhou (14554562)

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Schematic flow chart of driving take-over reaction experiment. by Chengmin Zhou (14554562)

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Three accident scenarios: a) forward vehicle collision; b) The sudden cut-in of lateral vehicles ahead; c) adjacent vehicle occupies the lane. by Chengmin Zhou (14554562)

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Conditional autonomous driving scenario complexity factor perceptual weights. by Chengmin Zhou (14554562)

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The mean and standard error of take-over reaction time for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

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