LOUIS University of Alabama in Huntsville
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The effects of color, framing, and system certainty information on human-machine teaming
This study examined the effects of socially learned predispositions, such as framing and color, on the use of certainty information from an automated teammate in the context of human-machine teaming. Participants were randomly assigned to a color condition (red, green, black) and saw a series of 30 certainty icons (0%, 25%, 50%, 75%, 100%) in each framing condition (success, failure). A 2 x 5 x 3 mixed subjects design was used to analyze the effects of each of these factors on the acceptance rates of the automation’s suggestion and the decision response time. The analysis found that color, framing, and certainty information each had a significant effect on participants\u27 interaction with the automation. Participants used the certainty icons to influence their final decisions, while the color red slowed participants\u27 response times. Additionally, participants displayed patterns of risk aversion, rejecting negative outcomes with less sensitivity than positive outcomes
Characterizing features of Escherichia coli UTI89 inhibition by urinary Lactobacillus gasseri 5006-2
The urinary tract hosts a urobiome that may play a role in health and disease, such as in urinary tract infection. Lactic acid-producing bacteria, or lactobacilli, have been identified as defenders against pathogens in microbiome niches and are abundant in the female urobiome. Previous work has observed that urinary lactobacilli inhibit the growth of pathogenic strains in vitro, including the predominant uropathogenic Escherichia coli. The goal of this project was to characterize the features of these interactions as a first step in elucidating the mechanism(s) of inhibition. Liquid co-cultures of urinary isolates, Lactobacillus gasseri 5006-2, and model UPEC strain, UTI89, were used to model inhibition over time. Results indicate a complex and contact-dependent interaction that contradicts the traditional hypothesis of inhibition by acidic organic acids produced by lactobacilli. Characterizing these interactions is essential to a robust understanding of the role of the urobiome in susceptibility to urinary disease
Optimization and Implementation of Methodology to Investigate the Effects of p75NTR on the Death of Dopaminergic Neurons in Mouse Models of Parkinson\u27s Disease
Automated Tracking and Analysis of Bubbly Flow Dynamics
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