As brands increasingly take stances on divisive political issues, it is essential to understand how consumers' political ideology influences reactions to such brands. This research examines the effect of US consumers' political ideology on their likelihood of retaliating against politically activist brands. I find that liberals (vs. conservatives) exhibit larger retaliation effects against brands that take an opposing (vs. supporting or neutral) stance on a divisive political issue. The principles of fair market ideology can explain this disparity. Conservatives (vs. liberals) are more likely to view the market as self-regulating and inherently just, reducing their tendency to retaliate against brands they oppose. Instead, conservatives, view large corporations as pivotal to the economy and are thus less likely to engage in personal or institutional intervention.

Within percussion pedagogy, rudiments serve as foundational components used to develop rhythmic and technical proficiency. While American, French, and Swiss rudimental drumming share common rudiments, there exist nuanced distinctions between these styles. Similarly, hip-hop rapper’s “flow” has evolved amid diverse regional, social, and emotional influences, shaping their rhythmic articulation. This study centers on the “golden age” of hip-hop (1986-1996), aiming to identify recurring patterns of “flow” and potential confluences between percussive rudiments and how rappers’ structure their rhythmic and melodic language. The examination of “flow” represents a relatively recent discourse within music theory, attracting scholarly attention concerning analytical methodologies using computer programs and diverse analytical lenses. Notably, scholars specializing in this domain have laid foundational groundwork, offering comprehensive insights into the nuanced aspects of flow dynamics. Although there exists a substantial body of research on flow analysis, limited scholarly attention has explored the correlation between rap music and the percussive facets inherent in snare drum performance. This study elucidates the connection between the intricacies of hip-hop flow and rudimental snare drum playing, culminating in four snare drum etudes emulating the flow of specific artists and regions.

The practice strategies that musicians employ can be made more effective by leveraging existing research about memory and learning. Musicians often use strategies that feel intuitive, such as massed practice and rote repetition, but that research has proven ineffective. When they do employ strategies that are effective, such as varied practice and chunking, they often do not understand the reasons why they are effective and therefore cannot use the principles behind effective learning to generate new approaches when faced with an unfamiliar challenge or learning plateau. In this paper, I propose that, through developing knowledge of the research surrounding learning and memory, musicians can acquire insight into the learning process and develop the ability to self-generate effective practice strategies that address issues specific to their own practice. As a result, they can avoid common learning pitfalls and gain greater confidence in their ability to approach learning complicated skills and taking on big projects. This paper examines and distills recent research of effective learning into an in-depth and practical document for use by musicians. Additionally, this document interprets and applies existing research-based learning strategies—such as retrieval practice, spaced repetition, varied practice, interleaved practice, and chunking—to musical practice through the lens of contemporary percussion repertoire. Readers of this work will develop an in-depth understanding of memory and learning and be able to apply that information practically and immediately in their own practice.

The purpose of this mixed methods action research study was to implement digital outreach strategies, which would enhance students’ motivation to complete financial aid requirements and scale the departments’ more time-consuming counseling efforts. Using self-determination theory as the primary framework, I implemented the use of a series of emails and text messages sent by students’ admissions recruiters to a group of first-year students admitted to a large, public Land Grant Institution. The messages were framed to enhance students’ autonomy, competence, and relatedness the summer before they enrolled. The digital campaign was also supported by supplemental opportunities, including virtual appointments, a targeted webpage, and virtual workshops. Following the intervention, I compared the enrollment and financial outcomes of participants and a comparison group. Intervention and comparison groups were also surveyed about their perceived levels of self-determination and satisfaction prior to high school graduation and the summer before enrolling at the university. Additionally, selected students from both groups were interviewed during their first semester at the university. There were no statistically significant differences in students’ perceived self-determination, satisfaction, enrollment, and financial aid outcomes following the intervention. Relatedness increased significantly across the two times of assessment indicating all students developed stronger relationships with those from the university’s financial aid and admissions offices, which boded well for students just entering the university. In logistic regression analyses, Pell Grant eligibility was a significant factor associated with negative financial aid outcomes of owing a student account balance of $500 or greater and not completing financial aid requirements on time. Taken together with qualitative interviews, these findings suggest a need for additional one-on-one or other high-touch support methods, to support admitted students in the financial aid process.

This dissertation presents a volume filtering framework to solve particle-laden flows. Particle-laden flows are studied, employing the well-established Euler-Lagrange method, using the point-particle approximation. This approach requires the filter width to be much larger than the particle diameter. The method assumes that the particle is smaller than the Kolmogorov length scale. This thesis investigates how inertial particles at semi-dilute volume fractions modulate the flow characteristics for particles smaller than 1 in wall units, when dispersed within wall-bounded channel flows at friction Reynolds number of 180. The simulations are performed with 4 way coupling in order to account for high local concentration of particles, to capture mechanisms such as turbophoresis and preferential concentration. We show that drag attenuation or augmentation is determined by the particle inertia. As particle size is increased greater than 1 in wall units, the regime becomes finite-sized, requiring an interface-resolved description. To do this a novel Immersed Boundaries (IB) framework based on the concept of volume-filtering called the Volume-Filtered Immersed Boundary (VF-IB) method is presented. Transport equations are obtained by volume-filtering the Navier-Stokes equation and accounting for the stresses at the solid-fluid interface. Boundary conditions are transformed into bodyforces that appear as surface integrals on the right hand side of the filtered equation. The approach requires the filter width to be much smaller than the particle diameter in order to accurately resolve the interfacial dynamics. Several canonical tests are conducted for both stationary and moving immersed solids and report comparable results to the experimental and/or body-fitted simulations. Keep in mind, the VF-IB method reverts back to the Euler-Lagrange formulation if the filter width is significantly greater than the particle diameter. An artifact of volume-filtering is the emergence of unclosed terms we define as the sub-filter scale term. In order to characterize the contribution of this term on the solution, a more simpler case of a 2-D varying coefficient hyperbolic equation that has an exact solution is looked into. It is observed that the sub-filter scale term scales inversely with the square of the filter width. For fine interface resolution (i.e. small filter width), this value can be ignored with negligible effect to the accuracy of the numerical solution. However for coarse interface resolution (i.e. large filter width), including the sub-filter scale term significantly increases the accuracy of the numerical solution

Repertoire for solo bassoon is becoming more common as music advances and evolves. There is a vast array of works for solo bassoon; however, only a small percentage of those are by composers from an underrepresented community, with an even smaller percentage written by composers with East Asian or Southeast Asian heritage. Furthermore, these works have little to no high-quality studio recordings. Additionally, these works often include contemporary techniques such as multiphonics, difficult tremolos, flutter tonguing, pitch bends, and glissandi, among others. This adds another layer of inaccessibility for those bassoonists who are unfamiliar with how to perform these techniques and therefore may be afraid to “take the plunge” into contemporary works that utilize them. I have created performance guides for Tilt by Tonia Ko, Legend of the Sea by Xinyan Li, and Jeu des Cinq Éléments II by Tôn-Thât Tiêt, in hopes of promoting and raising the accessibility of works by living composers with East Asian and Southeast Asian backgrounds.

Physical inactivity is a major contributor to chronic illnesses and mortality globally. However, most interventions to address it rely on static, aggregate models that overlook idiographic (i.e., individual-level) dynamics, limiting intervention effectiveness. Leveraging mobile technology and control systems engineering principles, this dissertation provides a novel, comprehensive framework for personalized behavioral interventions that have been tested experimentally under the Control Optimization Trial (COT) paradigm. Through careful design of experiments, elaborate signal processing and model estimation, and judicious formulation of behavior intervention optimization as a control system problem, this dissertation develops tools to overcome challenges faced in the large-scale dissemination of mobile health (mHealth) interventions. A novel Three-Degrees-of-Freedom Kalman Filter-based Hybrid Model Predictive Control (3DoF-KF HMPC) controller is formulated for physical activity interventions and evaluated in a clinical trial, demonstrating its effectiveness. Furthermore, this dissertation expands on understanding the underlying dynamics influencing behavior change. Engineering principles are applied to develop a conceptual approach to generate dynamic hypotheses and translate these into first-principle dynamic models. The generated models are used in concert with system identification principles to enhance the design of experiments that yield dynamically informative data sets for behavioral medicine applications. Additionally, sophisticated search, filtering, and model estimation algorithms are applied to optimize and personalize model structures and estimate dynamic models that account for nonlinearities and “Just-in-Time” (JIT; moments of need, receptivity, and opportunity) context in behavior change systems. In addition, the pervasive issue of data missingness in interventions is addressed by integrating system identification principles with a Bayesian inference model-based technique for data imputation. The findings in this dissertation extend beyond physical activity, offering insights for promoting healthy behaviors in other applications, such as smoking cessation and weight management. The integration of control systems engineering in behavioral medicine research, as demonstrated in this dissertation, offers broad impacts by advancing the field's understanding of behavior change dynamics, enhancing accessibility to personalized behavioral health interventions, and improving patient outcomes. This research has the potential to radically improve behavioral interventions, increase affordability and accessibility, inspire interdisciplinary collaboration, and provide behavioral scientists with tools capable of addressing societal challenges in mHealth and preventive medicine.

Oxford’s Grove Dictionary of Music describes art song as “song intended for the concert repertory, as opposed to a traditional or popular song,” but despite this broad definition, poetry is the primary text source for art song. Poetry is stereotypically considered more suitable for art song because of its rhythm, meter, and rhyme. However, poems are not the only sources for art songs. Many examples of prose are used in song, such as Libby Larsen’s Try Me, Good King! which sets the last words of the wives of Henry XIII, and Patrice Michaels’ The Long View: A Portrait of Ruth Bader Ginsburg in Nine Songs, which sets texts from Justice Ginsburg’s life. Despite the wealth of potentials texts, there are not many songs set to text from novels. Even setting letters is more common than novel excerpts, including Stacy Garrop’s My Dearest Ruth and Libby Larsen’s Songs from Letters. There may be concerns which prevent text from novels being set to song, for example, the short length of a song may limit its ability to contextualize plot or character relationships. Composers and performers may also face challenges in approaching narration or dialogue from multiple characters to be sung by only one voice. Additionally, prose often contains more filler words and colloquial language. All of these are challenges which must be faced when adapting and performing text from novels. Despite these challenges, using text from novels can be a rewarding experience for musicians and audiences, as they bring to life the drama and emotion of a character. Some authors, such as Jane Austen, use novels to reflect their characters’ worlds as well as their own cultures and societies. Paired with art song, an intimate way of sharing human experiences with audiences, songs with text from novels have the potential to become profound snapshots of a character or author’s world. This paper will discuss art songs with prose text excerpted from novels and will analyze sources of both poetry and prose to determine if there are fundamental textual differences which prevent the performance of songs with text from novels.

Asphalt crack sealants are essential for preserving the integrity of asphalt pavements. They act as a barrier against water infiltration, a primary cause of base erosion and structural failure. However, these sealants are susceptible to degradation from traffic wear, weathering, and thermal stresses. This degradation manifests in multiple failure modes, including loss of cohesion, adhesion, and settlement. Being one of the most cost-effective pavement maintenance techniques, its market size is expected to be worth about $1.1 billion by 2028, with a 56% market share in North America alone. With extreme climatic events, sealants will have a tendency to fail more often. Therefore, this research effort investigated the incorporation of various modifiers into asphalt crack sealants and fillers to enhance their performance and durability, to perform beyond their designed life. Four different modifiers were selected and tested using a specific laboratory testing protocol targeting the failure modes observed in the field and ultimately leading to extended pavement lifespans and reduced maintenance expenditures. Furthermore, a novel test procedure to measure the coefficient of expansion and contraction of control and modified sealants was developed and calibrated as part of this study. These modifiers included an aerogel modified bituminous material, a pre-activated crumb rubber material, a recycled aerogel composite, and synthetic fibers.The testing program included durability and strength testing such as bonding strength, shear thinning, toughness, and tenacity; and thermal behavior testing such as expansion and contraction, thermal conductivity, and specific heat capacity. The coated aerogel modifier provided better toughness, tenacity, and bonding properties with improved thermal properties. The pre-activated crumb rubber reduced the effect of aging, whereas fibers showed promising results across most parameters. As for the recycled aerogel composite, thermal susceptibility was slightly improved, in addition to low temperature behavior for the filling material. Finally, a multiple decision-making criteria method was adopted to rank the best modifier for each material for parking lots and roadways followed by a life cycle cost analysis. A survey was conducted to rate the importance of each factor affecting performance, based on the integration of both quantitative and qualitative criteria, thereby accommodating diverse decision contexts and preferences.

To combat the global antimalarial resistance crisis effective resistance management strategies are needed. To do so, I need to gain a better understanding of the ecological interactions occurring within malaria infections. Despite the importance of the complex interplay among co-infecting strains, our current knowledge and empirical data of within-host diversity and malaria disease dynamics is limited. In this thesis, I explore the multifaceted dynamics of malaria infections through an ecological lens. My overall research question is: "How do ecological interactions, including niche complementarity, competition dynamics, and the cost of resistance, shape the outcomes of malaria infections, and what implications does this have on understanding and improving resistance management strategies?” In Chapter II, titled “Niche Complementarity in Malaria Infections” I demonstrate that ecological principles are observed in malarial infections by experimentally manipulating the biodiversity of rodent malaria P. chabaudi infections. I observed that some parasites experienced competitive suppression, others experienced competitive facilitation, while others were not impacted. Next, in Chapter III, titled “Determining the Differential Impact of Competition Between Genetically Distinct Plasmodium falciparum Strains” I investigate the differential effect of competition among six genetically distinct strains. The impact of competition varied between strain combinations, and both suppression and facilitation were observed, but most pairings had no competitive interactions. Lastly, in Chapter IV, titled “Assessing Fitness Costs in Malaria Parasites: A Comprehensive Review and Implications for Drug Resistance Management”, I summarize where the field currently stands and what evidence there is for the presence of a fitness cost, or lack thereof, and I highlight the current gaps in knowledge. I found that evidence from field, in vitro, and animal models are overall suggestive of the presence of a fitness cost, however, these costs were not always found. Amid the current focus on malaria eradication, it is crucial to understand the impact of biodiversity on disease severity. By incorporating an ecological approach to infectious disease systems, I can gain insights on within-host interactions and how they impact parasite fitness and transmissibility.