Digital Commons Network^™

Negotiating Power Relationships In Interprofessional Health Care Groups, Allison L. Noyes

Communication Studies Faculty Works

This chapter examines the communication challenges associated with the hierarchical structure of power relationships among the health professions. It is commonly believed that balancing power relationships is crucial for successful interprofessional collaboration in providing patient care, but because hierarchy is deeply embedded in healthcare organizations, balancing power among health professionals may be an unrealistic ideal. This chapter therefore reframes thinking about professional hierarchy-from a monolithic absolute to a flexible and negotiable social order that can serve multiple purposes at different points in the patient care process. It proposes a communicative framework of interprofessional hierarchy negotiation that can help us to …

Minding The Gap: How Do New Lcap Requirements Address Equity For English Learners?, Magaly Lavadenz, Ph.D., Raquel Gonzalez, Ph.D., Elvira G. Armas, Ed.D., Gisela O'Brien, Ph.D., Hannah Catron, M.A., Jeimee Estrada-Miller, Ph.D., M.P.P.

Reports

California’s Local Control Funding Formula (LCFF), signed into law in 2013, centers equity as a key to increased and improved services for three targeted student subgroups, including English Learners (ELs), low-income students, and foster youth. As a component of LCFF, districts develop Local Control and Accountability Plans (LCAPs) to specify their goals and strategies for using LCFF funds for equity and continuous improvement purposes. In this report, Lavadenz and colleagues use a sample of 26 California public school districts with high numbers/percentages of ELs, finding that although some progress has been made, public schools continue to miss the mark in …

Impact Of Graph Structures For Rag Outcomes In Llms, Chris Davis Jaldi

Browse all Theses and Dissertations

Explainability, interpretability and adaptability (EIA) remain three central motivations for next-generation Artificial Intelligence (AI), especially as Large Language Models (LLMs) continue to engage with ever-increasing knowledge bodies. As the landscape pushes toward controllable agentic Retrieval-Augmented Generation (RAG) systems where AI agents engage in iterative, guided reasoning, a critical question arises as to the extent to which the knowledge design itself shapes these models' reasoning behavior. This work conducts a systematic evaluation of how different conceptualizations and representation of the identical knowledge affect an LLM's path-based reasoning capabilities. Through the introduction of controlled variations along graph structural complexity, linguistic and semantic …

Disengaged And Drowsy: Using An Adaptive System To Detect Suboptimal Learning, William Andrew Stalker

Browse all Theses and Dissertations

Instruction is increasingly asynchronous, providing new opportunities but at the cost of losing some guard rails of in-person classes. One such guard rail is an instructor’s ability to detect boredom and learner disengagement. This dissertation explores the development and evaluation of an adaptive training simulator designed to respond to user engagement levels in real-time. The simulator monitors eyeblinks, comparing metrics to individual baselines to detect signs of fatigue and boredom. Participants are exposed to novel information in an audiobook recording of a textbook chapter and later quizzed to assess retention. An adaptive intervention offering periodic brief respite was tested against …

The Vital Role Of Interpreters In The Deaf Community: Navigating Accessibility Amidst Declining Deia Initiatives, Andrew Kovacs

Williams Honors College, Honors Research Projects

The catalyst for this research project stems from the rollback of Diversity, Equity, Inclusion, and Accessibility (DEIA) initiatives under the current presidential administration. Executive Orders from the presidential office have caused budget cuts and pauses in federal programs that affect all types of communities across the United States. For the Deaf community, funding for federal and state programs aimed at training ASL interpreters, helping Deaf individuals find jobs, and other communicative tools used by native signers has been paused. Despite the urgency of this issue, few studies have looked at the intersection of Deaf accessibility and the decline of DEIA …

Pca Text Sentiment Analysis Tool, Luke Gegick

Williams Honors College, Honors Research Projects

This project applies principal component analysis (PCA) to sentiment analysis of text to identify complex emotional responses from plain text. Existing sentiment analysis tools often rely on large language models or struggle to achieve high accuracy when processing large collections of short inputs, such as social media comments. By contrast, this project uses PCA as a lightweight, mathematically grounded alternative that can scale efficiently while still capturing meaningful emotional structure in text data.

PCA has shown strong effectiveness in text analysis, particularly when supported by a sufficiently large dataset and a robust preprocessing pipeline. To create consistent, information-rich input vectors, …

Algorithmic Lawmaking, Moral Judging, And Free Will, Jacob Eisler

Case Western Reserve Law Review

No abstract provided.

Dobbs’S Radical Remaking Of The Fourteenth Amendment, Miranda Mcgowan

Case Western Reserve Law Review

No abstract provided.

Trust In Ephemeral Content In Social Media Platforms: A Mixed-Method Approach Examining Online Users’ Privacy Concerns In The Case Of Snapchat, Ream Al-Ghamdi

Graduate Thesis and Dissertation post-2024

This study investigated privacy management practices on ephemeral social media platforms, with a particular focus on Snapchat, Yik Yak, and Instagram Reels. It utilized a mixed-method approach, integrating an analysis of privacy policy terms with empirical data obtained through a quantitative survey of 346 US university students, including Saudi students studying in the United States and their American counterparts, as well as qualitative insights from in-depth interviews. Privacy policies were systematically evaluated across critical dimensions, including first-party data collection, third-party data sharing, user privacy controls, data retention practices, and compliance with international regulations such as GDPR, CCPA, and Saudi Arabia's …

One Person, Multiple Votes: Loopholes In State And Federal Election Statutes Preventing Effective Prosecution Of Duplicate Voting, Isabel Bielamowicz

Case Western Reserve Law Review

No abstract provided.

Personalized Physics Learning Through Ai: Insights From Problem Generation, Chatbot Dialogues, And Intelligent Tutoring Systems, Atharva Dange

Physics Dissertations - Archive

Artificial intelligence (AI) is poised to transform science education, yet questions remain on how best to integrate these technologies into teaching and learning. This dissertation investigates the use of AI-driven tools in university physics courses through three complementary studies. In the first study, a generative language model (ChatGPT) was used to create novel physics homework problems aligned with course objectives. Analysis showed that, after expert vetting, AI-generated questions can foster higher-order problem-solving and reduce student reliance on solution memorization, though careful instructor oversight is required to ensure accuracy. The second study embedded an AI chatbot as a learning aid in …

Exploring User Sentiment On Social Issues Via Neural Network Transfer Learning In Digital Communities, Ananya R. Vangoor

2025 Research Poster Competition

Understanding public sentiment on social issues is crucial for gauging the stance of the general population. Traditionally, surveys have been a common approach for this. However, to capture more candid opinions, social media provides a rich source of unadulterated opinions. By analyzing social media statements, we can gain insights into the perspectives of specific groups. More specifically, we will investigate the attitudes of the public into the relationship between hard work and success in the workplace.

To begin, I will be training a neural network on X, formerly known as Twitter, tweets to categorize each tweet as either pro-luck or …

Exploring The Stem Career Identity Development Of Black Women Across Their Lifespan, Veronica Hurd

Theses and Dissertations

Although STEM is the fastest-growing career sector, Black women are grossly underrepresented as they account for 2.5% of the workforce. Research highlights that this underrepresentation is due to racialized structures in K-12, postsecondary, and career settings that restrict Black girls’ and women’s STEM opportunities. While macrosystems such as hegemonic ideologies, attitudes, and social conditions shape Black girls’ and women’s opportunities in STEM, they continue to persist and achieve their career goals. To explore these barriers and Black women’s persistence in this industry, this study draws from the autobiographical memories of 10 Black women in the field or formerly in the …

Multitask Learning For Named Entity Recognition And Relationship Extraction, Adrienne D. Hembrick

Theses and Dissertations

Information Extraction (IE) is a fundamental task in Natural Language Processing (NLP), involving the identification of structured information from unstructured text. Two core components of IE—Named Entity Recognition (NER) and Relation Extraction (RE)—are widely used to extract key concepts and the relationships between them across various domains. However, the sequential dependency of RE on the output of NER makes it vulnerable to error propagation: inaccuracies in entity recognition can negatively affect downstream relation extraction.

To mitigate this issue, Multitask Learning (MTL) has been proposed as an approach that jointly models NER and RE, aiming to improve overall performance and reduce …

Leveraging Counterfactuals For Enhanced Natural Language Inference: A Multitask Knowledge Distillation Approach, Brian J. Davis

Browse all Theses and Dissertations

Natural-language inference (NLI) asks whether a hypothesis is entailed by, contradicts, or is neutral with respect to a premise. Modern transformers reach high raw accuracy on benchmarks such as SNLI, MNLI, and ANLI, yet they often rely on brittle lexical shortcuts and provide little insight into their decision process. This thesis shows that counterfactual-augmented knowledge distillation can simultaneously boost robustness and supply faithful, token-level explanations—without scaling model size. Four T5-v1_1 students (60M, 220M, 770M, 3B parameters) are trained under four curricula: (1) standard fine-tuning, (2) fine-tuning with free-text rationales, (3) multi-task distillation with naive counterfactuals, and (4) multi-task distillation with …

Reducing Operator Training Time Through Virtual Reality: A Case Study On The Lpkf Protomat E44 Machine, Joshua C. Patel

Browse all Theses and Dissertations

This thesis presents the development of an immersive virtual reality (VR) simulation that replicates the operation of the LPKF ProtoMat E44 PCB milling machine. Aimed at reducing operator training time and improving procedural understanding, the simulation offers an interactive and realistic environment where users can safely engage with machine workflows and start-up sequences. The emphasis is on accurate representation, usability, and maintaining immersion to support intuitive learning. Although formal evaluation is outside the scope of this work, the system is designed to serve as a foundation for cost-effective, scalable training in technical and manufacturing contexts, offering a modern alternative to …

Exploring Team Interactions, Michelle Anne Trimbur

Browse all Theses and Dissertations

This exploratory qualitative case study examined conversational turning points and their role in transforming interaction within a self-managed team (SMT). While considerable scholarship has explored SMTs in organizational settings, research has yet to explore one of the longest-standing SMTs, the United States Supreme Court. Guided by a constructivist paradigm and grounded in discursive and ethnomethodological traditions, this study conversational turning points, defined as juxtapositions of remembered pasts and imagined futures, in the oral arguments of Mallory v. Norfolk Southern Railway Co. (2023). Data sources included the official transcript and audio of the oral arguments, supported by briefs and opinions from …

Patient Subset Classification Using Encoded Embeddings And Knowledge Graph Retrieval-Augmented Generation, Benjamin A. Holmes

Browse all Theses and Dissertations

The widespread adoption of electronic medical records has created a vast reservoir of clinical data that can be leveraged to better understand how interventions relate to patient outcomes. Much of this information, however, exists as unstructured free-text, posing significant challenges for traditional statistical and machine-learning methods. Solving these challenges would allow the extraction of specific patient subpopulations (clinically relevant cohorts of individuals who share overlapping symptoms, risk factors, or diagnostic criteria), which could be used in precision medicine. Despite this promise, extracting these subpopulations from unstructured medical notes is an ongoing challenge due to the variability of clinical language and …

Fútbol Profesional, Derecho De La Competencia Y 'Fair Play', Stephen Ross

Faculty Scholarship

El presente ensayo examina la relación entre el derecho de la competencia y la noción de «Fair Play» en el ámbito del fútbol profesional. El autor comienza analizando el significado lingüístico y filosófico del término «Fair Play» y valorando cómo las diferentes interpretaciones de esta noción pueden influir en la percepción de lo que se entiende por justicia en el deporte. A continuación, compara la aplicación del derecho de la competencia en EE.UU. y Europa, destacando que, aunque hay diferencias, no existe un verdadero conflicto entre la noción de «Fair Play» y la normativa en materia de competencia. Finalmente, defiende …

How Overcoming Linguistic Discrimination Benefits The World, Joseph A. Stanley, Lisa Morgan Johnson, Eve Okura Koller, Vashti Wai Yu Lee, Hallie Davidson, Valeria Prieto Hurtado, Sam Keddington, Hazel Mattson, Abigail Mueller, Sydney Jo Pederson, Maryn Perschon, Reese Rugg, Eliza Whiting

Faculty Publications

What is linguistic discrimination?

• Restricting access or opportunities based on speech (e.g., accent, pronunciation, grammatical system, tone or pitch)
• One of the last socially acceptable discriminatory practices in the international community
• A source of injustice that impacts many of God’s children every day

Linguistic discrimination is real! Here’s what it looks like…

In Healthcare:

• More questions about insurance coverage; later appointments (Wisniewski and Walker 2020)
• Lower access to mental health services (Kugelmass 2016)
• More referrals for speech therapy (Charity Hudley et. al. 2018)

In Education:

• Students receiving negative judgments from teachers (Bowie & Bond 1994; Cecil 1988; Wheeler 2019)
• Teachers …

Climate Planning, Energy Sovereignty, And Electric Vehicle Perceptions Among Michigan’S Tribal Nations, Alexis Belle Tater

Dissertations, Master's Theses and Master's Reports

Climate change will especially impact marginalized communities and communities with less government support for funding climate adaptation actions. The first chapter of this report focuses on climate change responses, specifically Tribal Nations in the state of Michigan. In the current U.S. context, funding for large climate change mitigation and adaptation projects in Tribal Nations can be achieved through federal funding from the CPRG (Climate Pollution Reduction Grant), which requires an established PCAP (Priority Climate Action Plans) to guide decision making in alignment with identified priorities. I discuss the importance of Tribal sovereignty, the potential implications of its inclusion and exclusion …

Comparative Semiotic Analysis Of Non-Verbal Communication: Apis Mellifera Waggle Dance And Human Kinesic Signaling Systems, Nishtha Tikalal

Honors Undergraduate Theses

There are many parallels between two seemingly disparate forms of non-verbal communication: the waggle dance of Apis mellifera (honeybees) and human kinesic signaling systems. Through a comparative semiotic analysis, this research aims to conduct a comparative semiotic analysis, investigating structural and functional similarities between these communication methods, challenging anthropocentric assumptions about meaning making in the natural world. This research employs a meta-synthesis approach, drawn from a methodological literature review to examine historical representations of bee-human relationships, semiotics of non-verbal communication, and the specific mechanisms of the waggle dance and human kinesics. This methodology involves systematic categorization and analysis of extracted …

A Survival Horror Video Game's Impact On Visual Attention, Alicia D. Sprague

Honors Undergraduate Theses

The current study’s main research question was whether playing a survival horror video game increases the visual selective attention of a player. This project examined how visual attention and anxiety levels differ after playing a survival horror video game and whether an individual’s gaming preferences affect these concepts. The research consisted of the preliminary evaluation of participants’ visual attention abilities and anxiety levels through psychological tasks. Participants then played Resident Evil 4: Chainsaw Demo, the selected survival horror video game for this study. After playing the demo, participants repeated the previous psychological tasks, and their results were assessed. Results …

From Boredom To Purpose: How Self-Concept Can Affect Motivation In The Workplace, Norma I. Cintron

Honors Undergraduate Theses

The present experiment explored whether or not a positive self-concept influences how individuals manage boredom in the workplace. It was hypothesized that individuals with a positive self-concept would cope better with boredom and complete a dull task more accurately. However, these hypotheses were not confirmed, the study found no significant relationship between self-concept and boredom coping, nor between self-concept and task accuracy. In fact, individuals with higher self-concepts were slightly less accurate, though the difference was not statistically significant. Additionally, the study analyzed participants’ written responses to questions about handling boredom using Linguistic Inquiry and Word Count (LIWC) software. The …

Exploring Patient-Provider Communication In Indian American Populations: A Scoping Review, Pranav S. Nadella

Honors Undergraduate Theses

Effective provider-patient communication directly influences patient satisfaction, treatment adherence, and health outcomes, yet the unique experiences of Indian Americans—one of the fastest-growing U.S. populations—remain underexplored in communication research. This scoping review, following Joanna Briggs Institute guidelines, systematically mapped the existing literature on provider-patient communication involving Indian Americans. Eleven studies met inclusion criteria, with data extracted on methods, populations, and seven coded aspects related to communication.

Findings revealed a narrow focus on first-generation immigrants and women, leaving men’s experiences and second-generation voices largely unexamined. Communication was shaped by language discordance, cultural stigma, family involvement, trust dynamics, and health literacy. No studies …

Cognitive Impairment And Depression In Hispanic And Non-Hispanic White Low-Income Older Adults A Cross-Sectional Study, Cecil Latta

Honors Undergraduate Theses

Hispanic older adults represent a growing population in the United States and may be disproportionately affected by cognitive impairment and depression. We theorize that cognitive impairment would be more prevalent in the older Hispanic community and would affect the levels of depression in both Hispanic and non-Hispanic Whites older adults. This cross-sectional study examined the association between cognitive impairment and depression in 157 older adults, including Hispanic (n = 91, 57.96%, age: M = 76.4, SD = 6.8) and non-Hispanic White (n = 66, 42.04%, age: M = 76.2, SD = 6.5). We used the Memory Impairment Screen to assess …

An Assessment Of U.S. Medical Students’ Self-Reported Knowledge, Attitudes, And Practices In Using Professional Medical Interpreters, Ezinne Okonkwo

Honors Undergraduate Theses

Professional medical interpreters interpret conversations between patients with limited English proficiency (LEP) and physicians. Given the important role professional medical interpreters play for LEP patients, current and future healthcare professionals would benefit from understanding their services and how to utilize them effectively. Research has explored how residents and physicians regard medical interpreters, but few studies have examined medical students' knowledge and perceptions about them. This cross-sectional study investigated medical students' knowledge, attitudes, and practices regarding professional medical interpreters. The sample was comprised of Florida medical students. Participants completed a one-time, quantitative online survey collecting information regarding their medical training, demographics, …

The Relationship Between Autistic Features And Identity Development Processes Among College Students Through An Intersectional Lens, Alejandra Santana

Honors Undergraduate Theses

Research on autistic features and identity development has indicated that autistic traits are positively associated with identity disturbance (Ratner & Berman, 2015). Characteristic attributes of autism, including circumscribed interests and impairments in social relatedness, align with self-rumination and hardships engaging in the components of identity formation (Gotham et al., 2014). Nonetheless, research on this topic remains scarce. The present study analyzed the association between autistic features and identity formation processes while considering sociocultural factors, such as gender conformity and social camouflaging. A sample of college students enrolled in a large metropolitan city (N = 427) was recruited to complete …

Investigating The Effects Of Binaural Beats On Encoding Efficiency And Working Memory Performance In College Students With Attention-Deficit/Hyperactivity Disorder Traits, Megan Daza

Honors Undergraduate Theses

Binaural beats (BB) have been increasingly explored as a non-invasive cognitive enhancement tool, particularly in populations with neurodevelopmental conditions such as Attention-Deficit/Hyperactivity Disorder (ADHD). This study investigates the effects of beta-frequency binaural beats on encoding efficiency and working memory performance, specifically verbal-spatial working memory, in college students with ADHD traits. Using a 2 (ADHD/Neurotypical) × 2 (Low/High Cognitive Load) mixed ANOVA design, participants will complete an N-back working memory task under baseline, binaural beats, and control (white noise) conditions. Key research questions examine whether binaural beats improve working memory accuracy and reaction time, whether their effects vary across cognitive load …

Improving Safe And Effective Management Of Pain At Home, Alayna V. Olivarez

Honors Undergraduate Theses

Pain is the most common clinical symptom in individuals with a cancer diagnosis. Additionally, home is the preferred place for cancer care which introduces numerous challenges for cancer pain management. The primary purpose of this literature review is to identify support interventions to enhance pain control, prevent exacerbations in pain, and optimize quality of life in individuals with cancer transitioning from the acute care setting to home. The secondary purpose of this review is to analyze patient-specific barriers influencing self-efficacy of pain management and overall health outcomes in the target population. A systematic literature search was conducted using CINAHL, EBSCOhost, …