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Equity in Healthcare Service Access
No full textDisparities in healthcare access between rural and urban populations remain a persistent and pressing challenge in the United States, particularly among vulnerable groups such as individuals with disabilities, racial minorities, and low-income communities. These disparities are shaped by complex interactions among geographic, socioeconomic, and demographic factors, leading to unequal health outcomes and limited access to essential services. This study aims to analyze these disparities over the past decade and regional variations in public insurance utilization. Using a mixed-methods approach, the analysis integrates five national datasets: Small Area Health Insurance Estimates (SAHIE), National Health Interview Survey (NHIS), Area Health Resource Files (AHRF), National Neighborhood Data Archive (NaNDA), and the American Community Survey (ACS). The study employs descriptive, spatial, and multivariate analyses to assess patterns in healthcare access, facility availability, workforce density, and insurance coverage across urban and rural settings. Findings indicate that health disparities are most strongly associated with income level, urban-rural classification, and regional population growth—rather than race, provider counts, or clinic availability alone. The Southern region and non-metropolitan areas consistently reported worse health outcomes despite comparable infrastructure. These results suggest that improving healthcare equity will require not only expanding access to services but also addressing underlying socioeconomic inequalities. Policymakers should prioritize region-specific interventions and socioeconomic support to close persistent health gaps
Examining the Relationship Between Acculturation Levels, Help-Seeking Attitudes, And Self-Stigma Perspectives Among International Students
No full textThis study examined the relationship between acculturation level, help-seeking attitude, and self-stigma among international students enrolled in the graduate counseling program (ICS) within the United States. The Theory of Planned Behavior (TPB) served as the theoretical framework. Using the TPB construct in the context of mental health concerns, this study investigated the relationship between acculturation level, help-seeking attitude, and self-stigma. The data from ASSIS, IASMHS, and SSOSH were analyzed using the Pearson product moment correlation (Pearson r). It was found that the Pearson product-moment correlational analysis between the variables concluded a strong direct correlation between the acculturation level and the help-seeking attitude and acculturation level and self-stigma showed a moderate direct correlation. This suggests that ICS attitude towards mental health services is positive as they experience higher acculturation stress level and that higher acculturation stress levels are associated with greater self-stigma
EVALUATING EMOTIONAL RESPONSIVENESS IN LARGE LANGUAGE MODELS: PLUTCHIK’S EMOTIONS AS A FRAMEWORK
No full textThis thesis combines two complementary research efforts examining how artificial intelligence, specifically OpenAI’s ChatGPT, interacts with and processes human emotions. The first paper explores ChatGPT’s emotional adaptability, investigating whether the model’s responses vary in tone, style, or empathy when exposed to emotionally charged prompts. The study uses sentiment analysis tools, readability scoring, and emotional congruence matching to assess how the model interprets emotional cues embedded in the text. Drawing from theories in affective computing, psychology, and language modeling, this research aims to understand whether ChatGPT can simulate emotional awareness and adapt its communication style based on perceived human sentiment. These evaluations are grounded in a conversational context, allowing for detailed measurement of response modulation across different emotions such as happiness, sadness, fear, and anger.
The second paper extends this work by directly comparing human emotional perception with AI-generated emotion responses using Plutchik’s Wheel of Emotions. We designed a structured rating tool to capture emotional intensity ratings from human volunteers and ChatGPT across eight core emotions grouped into opposite pairs: joy-sadness, trust- disgust, fear-anger, and anticipation-surprise. Instead of using fixed labels, both sets of respondents provided ratings on a bipolar sliding scale, reflecting emotions\u27 direction and intensity. This parallel data collection approach created a unified format for side-by-side comparison between natural and synthetic emotional expression. The study emphasizes the probabilistic nature of emotions and uses Plutchik’s visual model to interpret emotional gradients, oppositions, and blended responses across the dataset.
These papers offer a layered investigation into how large language models detect, interpret, and simulate emotional content in human-like ways. The combined body of work explores ChatGPT’s linguistic output in emotional contexts and builds a framework to measure and visualize its performance alongside human ratings. The approach centers on staying clear and straightforward. It avoids complicated tools and focuses instead on capturing the real depth and variety of emotions. These ideas add meaningful value to the evolving field of emotional AI. They offer a solid starting point for future studies, especially those aiming to build systems that respond to people in thoughtful, human-centered ways
Pride and Joy: Exhibit Sources
No full textNote: This is a zine
Pride and Joy: Nebraska History begins the exploration of the history of LGBTQIA2S+ communities throughout the state of Nebraska. LGBTQ+ individual and community histories are an important part of Nebraska and the nation. This traveling exhibit seeks to share evidence of community gatherings, activism, publications, organizations, and other important topics.
This history is more complex than can be expressed in a single exhibit. Communities continue to experience joy and sorrow, community engagement and turmoil, resilience and discrimination. This is not an exhaustive LGBTQIA2S+ history. At this time, no one has written that comprehensive history. There are more stories to be told. We invite you to share, reflect, and learn with us.https://digitalcommons.unomaha.edu/prideandjoy/1000/thumbnail.jp
28 Years Later
No full textIn 28 Years Later, Alex Garland creates another screenplay of mythological elements based on Joseph Campbell’s Hero’s Journey and archetypal characters. The family unit of son, mother, and father are examined alongside the two Hero\u27s Journeys the son Spike takes--a false one and a true one. Ultimately, the positive trickster of the scientist-priest sage represents the example using rituals of being human in a chaotic world
Poverty Elimination Action Plan
No full textThis document fulfills the legislative requirements of LB 840, the Poverty Elimination Action Plan, aimed at reporting on Omaha efforts to eliminate poverty and developing a comprehensive strategy to eliminate poverty in Omaha, NE. It reviews research and policy interventions addressing poverty, incorporates community-driven and secondary data for a needs assessment, and offers actionable recommendations for poverty alleviation. The report also provides guidance on implementation, sustainability, and progress tracking. A brief conclusion at the end of this report is followed by appendices detailing supplementary data and analysis
RELI 2500: Spirituality and Wellness
No full textIn this course, students will explore topics such as: the nature of spirituality; mindfulness, meditation and wellness; spirituality and public health; spiritual wellness on campuses; and ecospirituality.https://digitalcommons.unomaha.edu/jrf-image/1044/thumbnail.jp
University of Nebraska at Omaha Enrollment Profile Report: Fall 2025
No full textheadcount and student credit hours, as well as the demographic characteristics of enrolled students. Delivery-site reporting counts all students, including those in UNL programs delivered at UNO, but excludes UNO programs delivered in Lincoln (CPACS programs). Administrative-site reporting counts students enrolled in UNO programs only (including the CPACS programs delivered in Lincoln). The purpose of this profile is to provide the undergraduate and graduate enrollments and student credit hour information by college or equivalent academic unit, class, gender and ethnicity. A glossary at the end of the report provides a list of definitions for headings. All information in this report was produced from the Fall 2022 Census Enrollment Snapshot file. The Census Snapshot date was August 28th, 2024