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Beyond The Ballot: How Asian American Identity Shapes Political Participation
No full textThis study investigates the political behavior of Asian Americans, focusing on how a constructed panethnic identity influences both traditional and non-traditional forms of engagement. Despite being one of the fastest-growing racial groups in the United States, Asian Americans have often been viewed as politically disengaged. However, this perception overlooks how structural barriers and evolving group consciousness shape participation. Drawing on data from the 2020 American National Election Studies, this paper tests two hypotheses: first, that Asian American identity increases political engagement, and second, that stronger group consciousness correlates with higher rates of participation. Logistic regression models show that income is the only significant predictor of voter turnout among Asian Americans, whereas ideology, education, and income are more predictive for White respondents. Ordinary Least Squares models reveal that liberal ideology drives non-traditional engagement, particularly low-cost actions like online petitions. The findings suggest that Asian American political participation is better explained by expressive, issue-based activism rather than institutional alignment. While identity alone does not predict turnout, it intersects with political values in shaping engagement. This study highlights the need for nuanced outreach and calls for future research that disaggregates Asian subgroups and more precisely measures panethnic identity strength
Bridging the Gap: Lysosome-Peroxisome Membrane Contacts in Storage Disorders and Neuropathy
No full textZooming in on the telescoping effect: Mechanisms of female opioid use disorder and the role of estradiol
No full textEvaluating Mark-to-Market Taxation of Capital Gains
No full textThis paper highlights the problems with the current status quo in regards to capital gains taxation in the United States, proposing a shift to mark-to-market taxation of capital gains in order to promote economic efficiency and reduce wealth inequality
The Plastic Predicament: Bisphenol A’s Contribution to Sex Differences Observed in Autism Spectrum Disorder
No full textAutism Spectrum Disorder (ASD) is a set of neurodevelopmental disorders which typically present with social communication difficulties, stereotyped behaviors, and restricted interests. Estimates suggest that ASD is found in 1 in 54 children in the United States, though a heavy male predominance exists, with approximately four times more males presenting with the disorder than females. Previous research has established genetic and hormonal bases for these sex differences. Furthermore, evidence has mounted for the impact of environmental disruptors, including endocrine disrupting chemicals (EDCs), on sex differences in ASD pathology. Bisphenol A (BPA), is implicated in autism prevalence and its effects on hormones may contribute to the observed sex differences in the disorder. BPA interacts with both the mechanism of action and expression levels of estrogen and androgen receptors and their target genes, resulting in physiological and behavioral differences between males and females with ASD
Evaluating Methods for Radio Frequency Based Positioning of Ultimate Frisbee Players
No full textThis project leverages radio frequency enabled devices in order to track ultimate frisbee players during a game. By strapping a wearable device to a frisbee player, and measuring its distance to beacons at known positions, we can track position over time
Exploring Resampling-Based Methods for Parameter Estimation on Simulated Multilevel Data
No full textMultilevel models (also known as mixed-effects, hierarchical, or linear mixed models) provide an effective framework for analyzing clustered data, but methods for conducting inference on model parameters require careful evaluation. This study investigates the performance of three bootstrap approaches—parametric, cases, and random-effects block (REB)—for parameter estimation in two-level hierarchical models. Through a simulation study with 500 datasets across 24 scenarios, we systematically assess how these methods perform under varying conditions, including different numbers of clusters, intraclass correlation coefficients (ICC), and violations of normality and independence assumptions. Methods are evaluated primarily on true parameter coverage rates and secondarily on bias. Our findings indicate that the parametric bootstrap and profile likelihood methods generally provide superior coverage for fixed effects across most scenarios, and all methods struggle with residual variance estimation under independence violations. However, the profile likelihood method sees substantial failure rates with smaller random variance components while all bootstrap methods succeed regardless of ICC. These results provide practical guidance for researchers applying bootstrap techniques in multilevel modeling and highlight critical areas for methodological development
Glacier Flow Dynamics
No full textAll around the world we are feeling the effects of climate change. One of the most climate sensitive areas on our planet is our cryosphere: our glaciers, ice sheets, and other frozen parts of our world. To mitigate these effects we need models that can help predict future glacier behavior. And to do that, we need to understand their movement mechanics -- what factors contribute to glacier flow? In this paper, we will examine how ice deforms under stress on an atomic level, the interaction between glaciers and the rocks they flow over, and how we can use Continuum Mechanics to talk about large-scale flow. Then we will apply this knowledge to a specific phenomenon called glacier surging and discuss why modeling of hazards is so important