Evaluating The Effectiveness Of Scenario-Based Virtual Escape Rooms To Improve Student Confidence In Dosage Calculations, Jennifer A. Cuevas

Theses

Abstract

Background: Accurate dosage calculations (DCs) are critical for patient safety, as medication errors contribute to approximately 7,000-9,000 preventable deaths annually. Nearly 30% of nursing students exhibit weakness in foundational mathematical skills, and a significant confidence gap exists: 70% feel confident in mathematical abilities, yet only 45% feel confident in clinical application, necessitating innovative educational interventions.

Purpose: The purpose of this project was to implement and evaluate a scenario-based virtual escape room intervention to enhance undergraduate nursing students' confidence in DCs.

Methods: Grounded in Kolb’s experiential learning theory, this online asynchronous intervention engaged students through concrete experience, reflective observation, abstract …

Fresh Start Or False Promise? Addressing Black Student Loan Debt Through Bankruptcy, Adji Ostin

Emory Bankruptcy Developments Journal

No abstract provided.

Mythcon 54 - Get Your Fantasy Kicks On Route 66!, The Mythopoeic Society

Mythcon Programs

Theme: Get Your Fantasy Kicks on Route 66

As part of the Route 66 centennial events that will be occurring across Oklahoma throughout 2026, Mythcon 54, a three-day conference, will add literary discussions to the festivities with the theme Get Your Fantasy Kicks on Route 66that encourages attendees to register for conference and to join us in discussions of fantasy literature that include:

• urban or epic fantasy about the adventures of travels on the road
• fantasy literature from or inspired by native American oral, written, or historic traditions
• the MythSoc archive, located on Route 66, and the role of …

Raw Data For The Manuscript "Silicon-Stabilized Three-Dimensional Covalent Networks In High Entropy Diborides", Michael Yeung, Reza Mohammadi

Chemistry Department Faculty Scholarship

Abstract for data:

Raw data for the journal publication, Silicon-stabilized three-dimensional covalent networks in high entropy diborides. ReadMe file provided.

Abstract for Journal publication: 

High entropy ceramics offer a pathway to stabilize unconventional chemistries beyond traditional alloying rules. We report the incorporation of silicon into an AlB₂-type high entropy diboride, Cr_0.2Nb_0.2Si_0.2Ta_0.2Ti_0.2B₂, despite silicon violating classical Hume-Rothery rules for alloying. Arc melting produced a phase-pure, chemically homogeneous structure, as confirmed by powder X-ray diffraction (pXRD) and scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM–EDS). Silicon occupies …

Greenhouse Gas Report For Western Australian Wild-Catch Fisheries And Aquaculture 2004-2025, Christophe D'Abbadie, Johnny Machon, Dipesh Maharjan, Mark Goninon, Pia Dobson, Jason How, Rodney Duffy Dr., Ainslie Denham, Shaye Carman, Trina Anderson

Climate Science Published Reports

This report provides a comprehensive analysis of greenhouse gas (GHG) emissions from Western Australian wild-catch fisheries and aquaculture for the fiscal years (FY) 2004/05 to 2024/25. These industries represent important components of the Western Australian primary production sector, with distinct emissions profiles and trends.

Key Findings:

Emissions from wild-catch fisheries have declined significantly over time, from approximately 0.341 million tonnes of carbon dioxide equivalent (Mt CO₂e) in FY 2004/05 to 0.136 Mt CO₂e in FY 2024/25, a reduction of approximately 60%.

Emissions from aquaculture in FY 2024/25 were approximately 0.350 Mt CO₂e, reflecting substantial industry growth from near-negligible levels in …

Shaping The Future: Emerging Technologies And Their Role In Industry 4.0 And Beyond, Liuliu Qin

Information Technology & Decision Sciences Faculty Publications

This paper provides a comprehensive review of emerging technologies driving the transition from Industry 4.0 to Industry 5.0. It examines the foundational concepts and pillars of Industry 4.0 and explores the transformative roles of Artificial Intelligence (AI), Extended Reality (XR), Collaborative Cobots (Cobots), Brain–Computer Interfaces (BCIs), quantum technologies, and next-generation connectivity (5G/6G). By integrating technological, human-centric, and sustainability perspectives, the study outlines how these emerging technologies reshape industrial systems and enable intelligent, adaptive, and inclusive futures.

Urban Heat Dynamics: Comparing Thermal Regulation Of Patios And Green Roofs, Charlotte Gordy, Bishoy S. Sami, Darlene Panvini

SPARK Symposium Presentations

Urban environments are characterized by elevated temperatures caused by the Urban Heat Island effect, an ecological phenomenon distinguished by the abundance of artificial surfaces such as concrete and tile that absorb heat. This study investigates how surface temperatures differ between traditional patios and green roof gardens, and how these differences vary under sunny and shady conditions. We hypothesize that green roof gardens will exhibit significantly lower surface temperatures than paved surfaces, particularly on sunny days.

To test this hypothesis, we will select two to three buildings on campus that contain both traditional patio surfaces and green roof gardens. Using an …

Virtual High School Classes And The Impact On Rural Students And Teachers, Ashley M. Storck

All Electronic Theses and Dissertations

This literature review examines the impacts, advantages, and disadvantages of virtual high school classes on rural teachers and students. The review examines research on academic outcomes, instructional models, funding structures, stakeholder dynamics, and the effects of the COVID-19 pandemic. Virtual learning can expand access to courses and provide flexibility to students, especially in the case of credit recovery. Full-time virtual schooling is frequently associated with weaker long-term outcomes in comparison to traditional brick-and-mortar education. These findings are often intensified in rural settings where there are broadband insufficiencies as well as existing deficiencies in institutional capacity and student support systems. The …

Testing Spatial Memory And Associative Learning In Planaria With Chronic Nicotine Usage, Gregory Smith, Jessica Toledo-Franco

SPARK Symposium Presentations

Nicotine is a psychoactive substance, commonly delivered through e-cigarettes. In the short-term, nicotine can cause an individual to feel enhancements in attentiveness, while also reducing stress or withdrawal symptoms. Withdrawal generally refers to the phase after quitting or reducing the use of a substance; however, in nicotine, these symptoms can be seen as early as the first usage. Unlike most studies that have focused on mammals as the subject, the goal of this study is to investigate how nicotine addiction and withdrawal influences learning and memory through Dugesia dortocephala in T and Y mazes. As the concentration of nicotine increases, …

Impacts Of Native And Nonnative Plant Species On Avian Community Diversity, Matty John Mackay, Steven Van Dang, Brandon Lee Corn

SPARK Symposium Presentations

Avian communities play an essential role in maintaining a healthy ecosystem dynamic by regulating insect populations, assisting in plant pollination, and seed dispersal. These contribute to the overall health of natural ecosystems and mitigate ecological disruptions that would arise in their absence. However, the introduction of non-native invasive plant species can interrupt the balance avian communities bring to ecosystems by reducing availability of food sources, altering habitat structures, increasing competition among individuals, and disrupting ecological relationships through rapid invasion of ecological spaces. Point count observations of birds at Shelby Bottoms Park, Nashville, Tennessee in areas dominated by non-native privet and …

Assessing Radio Transmitter Weight Effect And Evaluation Of Northern Bobwhite Chick Survival In Coastal North Carolina, Autumn S. Randall, Theron M. Terhune Ii, Matthew T. Springer, Darin J. Mcneil

Forestry and Natural Resources Faculty Publications

Studies on the earliest life stages are essential to our ecological understanding of avian demography; however, monitoring technologies that allow tracking of small birds are still limited in a variety of ways. One critical limitation, until recently, has been the development of methods for attaching transmitters to young birds with precocial development (e.g., Galliformes, Charadriiformes, etc.). The modified suture technique offers a means to attach transmitters to precocial chicks while accommodating rapid growth characterized by birds with precocial young. Although the sutured transmitter method was developed for northern bobwhite (Colinus virginianus) chicks, there remain key unknowns regarding best …

Aggregation Bias In Multi-Industry Economic Contribution Analysis: The Case Of Kentucky Forest Sector, Domena A. Agyeman, Thomas Ochuodho, Omkar Joshi

Forestry and Natural Resources Faculty Publications

Closely related industries are often aggregated in US forest sector economic contribution analysis, yet the choice of aggregation scheme can influence results. The Impact Analysis for Planning (IMPLAN) system is the most widely applied input–output model for forest economic contribution analysis in the US. In IMPLAN, the level of industry aggregation determines which inter-industry transactions are restricted, thereby influencing the magnitude of estimated indirect and induced effects. Although IMPLAN practitioners can model individual industries to avoid aggregation bias, they must still decide whether to analyze forest industries as a single group, as traditional subsectors, or individually. This decision can alter …

Effects Of Headwater Wetland Restoration On The Demography, Fecundity And Ecology Of The U.S. Federally Threatened White Fringeless Orchid (Platanthera Integrilabia) In The Cumberland Plateau Of Kentucky, Tara R. Littlefield, Catherine Hoy, Christopher Barton

Forestry and Natural Resources Faculty Publications

Wetland habitats represent a critical component of biodiversity hotspots that support numerous rare species, including terrestrial orchids. In North America, over half of all terrestrial orchids are found in wetlands, more than a quarter of which are now threatened with extinction (G1–G3). This concerning trend is exacerbated by a lack of information on effective restoration strategies aimed at orchids and other species that inhabit these areas. The white fringeless orchid, Platanthera integrilabia (Correll) Luer, the subject of this study, is restricted to mostly shaded wetland habitats along the Cumberland Plateau of the Appalachian Mountains and has suffered widespread declines due …

Discovery Of Tidal Disruption Event Candidates In The Hubble Catalog Of Variables, Elliot M. Schweitzer

Pitzer Senior Theses

A tidal disruption event (TDE) occurs when a star passes within the tidal radius of the supermassive black hole (SMBH) likely to reside at the center of most galaxies. Within this radius, the star is torn apart as tidal forces overcome the star's binding energy, and roughly half of the stellar debris spirals back towards the SMBH. The formation of an accretion disk produces bright emissions for months to years, modeled to peak in the ultraviolet and extend well into x-ray and optical wavelengths. TDEs occur only about once every 10⁴-10⁵ years per galaxy. As one of …

Mathematics And Political Ideology: A Historical Argument Against The Cultural Understanding Of Mathematics As An Apolitical Field, And A Journalistic Report On The Impact Of The Trump Administration On American Mathematics In 2026, Philo Judson

Pitzer Senior Theses

The interplay between political ideology and mathematics is a recurring theme throughout the history of the academic field. Mathematics has been used as a tool of empire, while mathematicians have been elevated by states as symbols of national genius for political prestige. Political ideologies have also shaped the field from within, both through the suppression of mathematical thought and the enforcement of mathematical authority. Since 2025, the Trump administration has launched large-scale political attacks on American institutions of higher education, which include lawsuits, discrimination investigations, and the removal of federal funding from certain institutions that don’t adhere to the administration’s …

Balancing Face-To-Face And Digital Communication: The Role Of Relationship Maintenance In Dual-Earning Families, Tamara D. Afifi, America L. Edwards

Information Science Faculty Publications

This study examines how face-to-face (FtF) and computer-mediated communication (CMC) contribute to relationship maintenance and resilience in dual-earning families, a largely overlooked area in family communication research. Guided by the theory of resilience and relational load (TRRL), we test how ongoing FtF and CMC maintenance behaviors predicted well-being across a week among 62 families (i.e., two parents and one adolescent). Using a week-long daily diary and physiological measures (cortisol and IL-6 assays), we assess perceived stress, mental health, and loneliness. Findings suggest that both FtF and CMC maintenance are associated with lower stress and better well-being, with FtF showing somewhat …

Muted Trumpets As A Sonic Representation Of Isolation Or Solitude, Caroline Reyner

Schultz-Werth Award Papers

The sound of a trumpet can be used in a variety of applications. This is due to its ability to adjust its timbre to fit different situations. Among the most common adjectives applied to brass instruments, especially trumpets, are terms associated with bright, metallic, or brassy qualities (Wallmark 587-588). While these are timbral qualities of the trumpet, they are not the only ones of which the trumpet is capable. According to ACTOR Research, the following timbres of the trumpet have been extracted from various orchestration treatises – agile, blaring, brassy, bright, brilliant, crisp, flexible, piercing, powerful, responsive, sharp, smooth, and …

Inflation Dynamics: An Integrated Exploratory And Econometric Analysis, Adrián Calderón

Schultz-Werth Award Papers

This paper examines the drivers of U.S. Consumer Price Index (CPI) inflation using a novel, integrated approach on high-frequency monthly data from 2003 to 2025. The analysis focuses on a comprehensive set of variables: money growth, a fiscal stance measure, long-term inflation expectations, labor market conditions, and real activity; to identify which forces consistently push inflation higher or lower. Our methodology begins with a Random Forest model to rank predictors, establishing lagged money growth and breakeven inflation expectations as dominant, while the fiscal stance shows weaker predictive power. This ranking guides the specification of a robust ARIMAX model that successfully …

Beyond Fixed Thresholds: Per-Label Calibration For Fine-Grained Emotion Detection On The Goemotions Dataset, Sai Puneet Naga Venkata Subramanyam Patchipulusu

Selected Full-Text Master Theses 2021-

This study investigates the effectiveness of five community fine-tuned transformer models for fine-grained emotion detection on the GoEmotions dataset: SamLowe/roberta- base-go_emotions (RoBERTa-base), cirimus/modernbert-base-go-emotions (ModernBERT), mrm8488/deberta-v3-base-goemotions (DeBERTa-v3-base), bhadresh-savani/bert-base-go- emotion (BERT-base-cased),and tasinhoque/distilbert-go-emotions (DistilBERT) . While the original GoEmotions research by Demszky et al. (2020) established a BERT-base baseline with a macro-F1 of 0.46, this thesis extends that work through independent empirical evaluation of five derivative models, systematic per-label threshold optimization, and comparative analysis of architectural trade-offs across the full transformer model family. Using the GoEmotions simplified test split (5,427 examples across 28 categories), all five models were evaluated at a fixed 0.5 …

Solving The Middle School Math Problem To Increase Achievement, Andre Goodlow

Educational Leadership Professional Doctorate Dissertations

This study used improvement science to address persistent and disproportionate low mathematics achievement among middle school students, particularly Black/African American and Hispanic students, in an urban school district in the Pacific Northwest. Local data indicated significant deficiencies in math proficiency, with the target district exhibiting achievement disparities exceeding state averages. The project investigated root causes of low math achievement, prioritizing the enhancement of foundational math skills and the implementation of evidence-based interventions. The improvement theory centered on deploying an evidence-based core math curriculum and intervention program for incoming middle school students, tested through cycles during a four-week summer school program. …

Establishing A Public Health Surveillance System For The Opioid Crisis: The Experience Of The Healing Communities Study, Bridget Freisthler, Daniel J. Feaster, Charles Knott, Marc Larochelle, John Mccarthy, Svetla Slavova, Sharon L. Walsh, Jennifer Villani

Biostatistics Faculty Publications

Introduction: Efforts to reduce opioid overdose deaths in the United States have been stymied by the lack of timely and standardized population-level data for local, state, and national levels. The U.S. has a strong national need for linking opioid and other drug overdose surveillance data to service utilization data for overdose prevention and treatment to inform resource allocation and response planning.

Methods: We provide insight on the challenges of identifying, obtaining, and harmonizing administrative outcome data across four states using the collective experience from the HEALing Communities Study to test a community-engaged, data-driven, population-level intervention to reduce opioid overdose deaths. …

Enabling Communication Resiliency In The Connected Car Environment, Antonio Guerrero-Ibáñez, Juan Contreras-Castillo, Sherali Zeadally, Een-Kee Hong

Information Science Faculty Publications

Connectivity has become integral to various application domains, with the automotive sector as a prime example. Advances in electronics, computing, and telecommunications have driven the evolution of the connected car ecosystem, transforming it into a data-rich environment that enhances road safety, efficiency, and overall mobility. However, the success of this ecosystem depends on seamless, reliable, and resilient communications. We identify key challenges that may affect communications in the connected car environment and discuss solutions that enhance resiliency and robustness. Finally, we propose a multi-layered network architecture that will enhance communication resilience in the connected car ecosystem.

Previsit Ai: A Retrieval-Augmented Generation For Patient Readiness In Clinical Encounters, Rolande Umuhoza

All Graduate Theses, Dissertations, and Other Capstone Projects

With healthcare systems under growing pressure from rising patient volumes and shrinking consultation windows, improving how patients communicate with physicians has become essential to delivering quality care. Yet patients routinely arrive at appointments unable to clearly describe their symptoms, recall their medical history, or articulate concerns, contributing to miscommunication, diagnostic inefficiency, and pre-visit anxiety. This study introduces PreVisit AI, a conversational system designed to address this gap through structured, knowledge-based patient preparation. The system is built on a Retrieval-Augmented Generation (RAG) architecture combining HuggingFace sentence embeddings (all-MiniLM-L6-v2), a Chroma vector store, and Google’s Gemini language model over a curated seven-document …

Three Faculty Members Begin Retirement, Jennifer Vermeer

The Voice

No abstract provided.

Finding Community In The Gaming Guild, Sarah Moss

The Voice

No abstract provided.

Lessons Of The Body, Sarah Moss

The Voice

No abstract provided.

From Sioux Center To Nyc, Jennifer Vermeer

The Voice

No abstract provided.

Saying Goodbye To The Commons, Sarah Moss

The Voice

No abstract provided.

Vision-Language System Using Open-Source Llms For Consent And Instruction Gestures In Medical Interpreter Robots, Tung Ngo, Emma Murphy, Robert Ross

Conference papers

Effective communication is vital in healthcare, especially across language barriers, where non-verbal cues and gestures are critical. This paper presents a privacy-preserving vision-language framework for medical interpreter robots that detects specific speech acts (consent and instruction) and generates corresponding robotic gestures. Built on locally deployed open-source models, the system utilizes a Large Language Model (LLM) with few-shot prompting for intent detection. We also introduce a novel dataset of clinical conversations annotated for speech acts and paired with gesture clips. Our identification module achieved 0.90 accuracy, 0.93 weighted precision, and a 0.91 weighted F1-Score. Our approach significantly improves computational efficiency and, …

The Embedding Theorem In Hurwitz–Brill–Noether Theory, Kaelin Cook-Powell, David Jensen, Eric Larson, Hannah Larson, Isabel Vogt

Mathematics Faculty Publications

We generalize the Embedding Theorem of Eisenbud–Harris from classical Brill–Noether theory to the setting of Hurwitz–Brill–Noether theory. More precisely, in classical Brill–Noether theory, the embedding theorem states that a general linear series of degree d and rank r on a general curve of genus g is an embedding if r ≥ 3. If f ∶ C → ℙ¹ is a general cover of degree k, and L is a line bundle on C, recent work of the authors shows that the splitting type of f_∗ L provides the appropriate generalization of the pair (r, d) in classical Brill–Noether …