Geology and its tangential studies, collectively known and referred to in this thesis as geosciences, have been paramount to the transformation and advancement of society, fundamentally changing the way we view, interact and live with the surrounding natural and built environment. It is important to recognize the value and importance of this interdisciplinary scientific field while reconciling its ties to imperial and colonizing extractive systems which have led to harmful and invasive endeavors. This intersection among geosciences, (environmental) justice studies, and decolonization is intended to promote inclusive pedagogical models through just and equitable methodologies and frameworks as to prevent further injustices and promote recognition and healing of old wounds. By utilizing decolonial frameworks and highlighting the voices of peoples from colonized and exploited landscapes, this annotated syllabus tackles the issues previously described while proposing solutions involving place-based education and the recentering of land within geoscience pedagogical models. (abstract)

The ASU COVID-19 testing lab process was developed to operate as the primary testing site for all ASU staff, students, and specified external individuals. Tests are collected at various collection sites, including a walk-in site at the SDFC and various drive-up sites on campus; analysis is conducted on ASU campus and results are distributed virtually to all patients via the Health Services patient portal. The following is a literature review on past implementations of various process improvement techniques and how they can be applied to the ABCTL testing process to achieve laboratory goals. (abstract)

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.