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Examining The Sexual Identity Disclosure Process Among Black Queer Femmes And Their Families
Existing queer identity development theories often overlook the unique intersectional experiences of Black queer femmes (BQF), limiting their applicability and effectiveness in addressing the challenges faced by this population. Traditional models typically emphasize coming out to friends and family as a key step towards identity integration and self-actualization. However, these frameworks may not adequately capture the complexities faced by BQF, who navigate tensions between their racial/ethnic and LGBTQ+ identities. This study aimed to: 1) explore BQF experiences related to disclosing their sexual minority status to family members, 2) understand family members\u27 responses to these disclosures, and 3) identify factors influencing family acceptance of BQF. Utilizing a dyadic interpretative phenomenological approach, the study analyzed semi-structured interviews to uncover themes concerning the impact of disclosure on BQF-family relationships. Results highlight the importance of cultural and religious contexts, relationship strength, and exposure to queer narratives in shaping the acceptance process. The study reveals that education, media representation, and active allyship are crucial in facilitating family acceptance. These findings underscore the need for an intersectional lens in researching queer identity development and point to the necessity for tailored interventions to support BQF and their families. The insights gained from this research provide a deeper understanding of the disclosure process and offer a foundation for developing effective therapeutic strategies aimed at enhancing familial relationships and affirming sexual minority identities
A CROSS-SECTIONAL STUDY TO EXPLORE HEALTHCARE PROVIDERS WELLNESS: CURRENT CHALLENGES & GUT HEALTH
Exploring Deep Neural Network Reuse in Computational Natural Science
The creation and training of deep learning models pose significant technical, financial, and environmental challenges, which can be addressed through the reuse of pre-trained deep neural network models (PTMs), which enables deep learning methodologies with little comparative cost. While previous research has focused on PTM applications in software engineering, our work investigates their growing role in computational Natural Science. Our ongoing work examines and longitudinally measures PTM reuse in computational Natural Science. Our efforts quantify PTM reuse methodologies, identifies trends regarding the reuse of PTM architectures across Natural Science, and provides insights into how PTMs are progressing science
Examining Veterinary Pharmaceutical Occurrence in Urban Freshwater Bodies: A Case Study of Dog Beaches along Lake Michigan
Pharmaceuticals are one of many emerging contaminants in freshwater bodies that threaten the health of aquatic ecosystems. This research investigates dogs as a source of veterinary medicine pollutants that jeopardize the health of these ecosystems. The study focuses on three chemicals found in two commonly prescribed dog medications and their potential presence in areas with differing levels of dog activity. Analysis will include pre-established techniques utilizing solid-phase extraction (SPE) and high-performance liquid chromatography-mass spectrometry (HPLC/MS-MS). This research aims to enhance understanding of this emerging issue and to inform future efforts to protect and manage the health of freshwater resources
A Nourish Chicago Community Education Project: The Sweet Truth about the Food Science and Chemistry of Sugar
Sugar is a fundamental component of food science, playing a significant role in our lives beyond its satisfying taste. This research dives into the sweet world of sugar and explores its contribution to texture, preservation, color and flavor. The various structures of sugar, their chemical properties, and important impact on human health are investigated as well. Additionally, hidden and artificial sugars are unveiled and their secretive consequences are highlighted. Under Dr. Pine\u27s guidance, I worked to spread this knowledge to the greater Chicago community in order to enlighten the public and encourage healthier consumption habits across the city
Digital Suppression: How Algorithmic Bias Silences Marginalized Communities
This research explores the lived realities of algorithmic bias and digital suppression, focusing on how marginalized communities and social justice activists confront and adapt to online censorship. Through in-depth interviews and case studies, the project uncovers the creative strategies these groups employ to resist shadowbanning, algorithmic invisibility, and systemic platform bias. Despite limited resources, they continue to foster critical dialogue, share vital information, and build collective momentum across digital spaces. Rather than solely critiquing the harms of algorithmic suppression, this research highlights the resilience and innovation of those most affected. By centering their voices, it advocates for more transparent, equitable, and inclusive digital infrastructures—ones that amplify, rather than silence, the perspectives needed for meaningful social change
The Religious Organization Behind Shen Yun - Falun Gong
Falun Gong is a religious organization that has grown in popularity throughout America. They have a reach all around the world, mostly due to their dance show, Shen Yun, which has gone on multiple world tours. But what is this religious organization, who is their founder and history, and what is their motive
#NoDAPL: Victory in Defeat
This presentation uses Dr. Kyle Powys Whyte’s Theory of Collective Continuance to understand the historic strength of the Lakota Sioux People and, after decades of colonialism and genocide, the ironic revival of that strength despite the tribe’s 2017 ‘defeat’ over the construction and operation of the Dakota Access Pipeline. The presentation analyzes the basis of that revival using Whyte’s concepts of ‘interdependent relationships,’ ‘systems of responsibilities,’ and ‘migration strategies.