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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Causes and consequences of long-term defaunation in multi-species aggregations: Species traits predict freshwater mussel declines and decreases in biogeochemical storage and recycl... by Jonathan Lopez (16993383)

Phosphorylation as an Effective Tool to Improve Stability and Reduce Toxicity of Antimicrobial Peptides by Zufang Ba (11036420)

“…Among them, W₃BipY₈-P stood out as the most promising peptide, exhibiting similar antibacterial activity as its unphosphorylated analog W₃BipY₈ but with significantly reduced hemolytic activity (19-fold decrease), cytotoxicity (3.3-fold decrease), and an extended serum half-life 6.3 times longer than W₃BipY₈. …”

Stratified meta-analysis for treatment duration effects of statins versus placebo subdivided into 3-4 months and longer than 4 months of treatment for 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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The mean and standard error of fixation duration 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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Mean (SDs) of take-over reaction times according to scene complexity and type of autonomous driving information display. by Chengmin Zhou (14554562)

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