Barrett, The Honors College Thesis/Creative Project Collection

Measuring changes in concentration within a dynamic system can be accomplished with a simple Arduino powered system. Currently, the system is utilized in cyanobacteria CO2 fixation experiments, where the fixation rates of multiple cultures can be measured simultaneously. The system employs solenoids in parallel and can be applied for n number of outlet streams, all are connected to one large manifold which feeds to a CO2 concentration probe. In the future, the system can be modified to fit other simple dynamic gas systems.

The purpose of this study was to find an appropriate solution in reducing inflammation around the ankle joint for Rheumatoid Arthritis (RA) patients, so they are able to increase their endurance and improve their overall quality of life. RA patients have to deal with a significant amount of complications that include chronic inflammation, continuous pain in their joints, and overwhelming stress. In addition, it is very common for RA patients to develop severe mental issues that only makes matters worse. As a result, it is imperative that treatments are provided to RA patients to improve their current situation. Three devices from the current market, made for reducing inflammation of the ankle, were chosen for evaluating the effectiveness of each device. It was determined that with 95% confidence that the Gonicc Professional Foot Sleeve was the most effective in reducing inflammation. A prototype was developed based on the feedback of the participants. Further improvements, the prototype will be compared against the Gonicc Professional Foot Sleeve to determine which is the best solution to improve millions of RA patients' lives.

A dynamical approach is used to avoid isolating systems and instead view systems as interacting together. The current study applied a dynamical approach to heart rate variability and personality. There were two main research questions that this study sought to answer with a dynamical analysis of heart rate variability and personality: “Can we listen to a heartbeat and draw connections to behavior and personality?” and “Is dynamical analysis more effective than traditional analysis at finding correlations between heart rate variability and personality?” To answer these questions a dynamical analysis of heart rate variability was conducted (detrended fluctuation analysis; DFA) along with traditional analysis (standard deviations of NN intervals, SDNN, and root mean squared of successive deviations, RMSSD) and then correlations between heart rate variability measures and personality traits from the Big Five Inventory, Positive and Negative Affect schedule, and State-Trait Anxiety Inventory were examined. Data for this study came from the Rapid Automatic & Adaptive Model for Performance Prediction (RAAMP2) Dataset that was part of The Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) project. There were no statistically significant correlations between heart rate variability and personality. However, there were notable correlations between extraversion and SDNN and RMSSD and between positive affect and SDNN and RMSSD. We found that SDNN and RMSSD were more closely correlated to each other compared to DFA to either measure. This suggests that DFA can provide information that SDNN and RMSSD do not. Future research can explore dynamic analysis of heart rate variability and other nested systems.

This research highlights the experiences of mothers diagnosed with preeclampsia and HELLP syndrome through qualitative data analysis of social media comments. I collected 300 comments from the Instagram accounts @preeclampsia.foundation and @HELLPsyndrome. The two overarching themes found were: (1) Experiences with maternal healthcare and (2) Virtual Healing Spaces. These Instagram accounts represented unique communities that provide support and information that cannot be found elsewhere. These findings address gaps in the literature on maternal experience with preeclampsia and HELLP syndrome and identify directions for further research. The conclusions drawn add to current research that points to the need for reform in maternal healthcare.

This paper is a literary analysis of texts from ancient historians, specifically Tacitus, Suetonius and Dio, looking at how the image we have today of Emperor Nero is the product of their hostility. Along with looking at how they have created this image, the paper also goes into depth on how these ancient historians have portrayed Agrippina the Younger, Nero's mother, as the main reason why he was such a vicious and unstable tyrant.

This study sought to determine if perceived neighborhood danger impacted children's sleep. The current study asks: how does perceived neighborhood danger impact children’s sleep both quantity and quality (duration and efficiency), could children’s physical activity mediate these associations, and how do genetic and environmental factors play into these relationships? Questionnaires, biological measurements, and actigraphy watch data were collected from 709 8-year-old Arizonan twins and their parents in order to calculate neighborhood safety, sedentary physical activity, moderate to vigorous physical activity, sleep duration, and sleep efficiency as well as covariates. It was concluded that perceived neighborhood danger does not directly impact children’s sleep duration and efficiency, children’s physical activity does not mediate the relation of perceived neighborhood danger and children’s sleep, but rather, perceived neighborhood danger indirectly impacts children’s sleep duration and efficiency through moderate to vigorous activity, and finally, that both sedentary and moderate to vigorous activity are heavily influenced by genetics.