Contrasting Size Dependence of Photochemical Lifetimes of Polypropylene and Expanded Polystyrene Microplastics in Surface Waters by Ariana Patterson (22764051)

Subjects:

Differences in mean number of papers (top) and co-authors (bottom) depending on (1) NI membership and (2) time joined NI. by William C. Barley (8915282)

Subjects:

Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). by William C. Barley (8915282)

Subjects:

Descriptive characteristics of service utilization by sex and year. by Fernanda Talarico (807333)

Subjects:

Comparison of mental health-related service utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

Subjects:

Cohort characteristics. by Fernanda Talarico (807333)

Subjects:

Trend of specific mental health disorders for all services utilization between 2016 and 2022. by Fernanda Talarico (807333)

Subjects:

Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

Subjects:

Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

Subjects:

Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

Subjects:

Threading Behavior and Dynamics of Ring-Linear Polymer Blends under Poiseuille Flow by Deyin Wang (6028850)

“…However, as rings are semiflexible (<i>K</i>_br > 0), the threading probability significantly decreases and then significantly increases as the flow field strength increases. …”

Results of linear mixed models (LMMs) on linguistic timescale tracking for the phrase, word, syllable, and phoneme rates. by Elena Bolt (20396190)

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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)

Subjects:

Experiment setting. by Chengmin Zhou (14554562)

Subjects:

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

Subjects:

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)

Subjects: