DataSheet1_Loss-of-function N178T variant of the human P2Y4 receptor is associated with decreased severity of coronary artery disease and improved glucose homeostasis.ZIP by Michael Horckmans (14206388)

“…P2Y₄ knockout (KO) in mice protects against myocardial infarction and is characterized by increased adiponectin secretion by adipocytes, and decreased cardiac inflammation and permeability under ischemic conditions. …”

DataSheet3_Loss-of-function N178T variant of the human P2Y4 receptor is associated with decreased severity of coronary artery disease and improved glucose homeostasis.ZIP by Michael Horckmans (14206388)

“…P2Y₄ knockout (KO) in mice protects against myocardial infarction and is characterized by increased adiponectin secretion by adipocytes, and decreased cardiac inflammation and permeability under ischemic conditions. …”

DataSheet4_Loss-of-function N178T variant of the human P2Y4 receptor is associated with decreased severity of coronary artery disease and improved glucose homeostasis.ZIP by Michael Horckmans (14206388)

“…P2Y₄ knockout (KO) in mice protects against myocardial infarction and is characterized by increased adiponectin secretion by adipocytes, and decreased cardiac inflammation and permeability under ischemic conditions. …”

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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The mean and standard error of fixation counts 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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