Digital Commons Network^™

First-Principles Insights Into Binary Oxide Systems Under Extreme Pressure, Daniel Schacher

UNLV Theses, Dissertations, Professional Papers, and Capstones

Pressure is powerful tool by which one can manipulate the properties of materials. In this work we utilize pressure to explore binary oxide systems and characterize their structural and electronic properties. The observation of anomalous structural and electronic behavior in the rutile to CaCl2 phase transition in SnO2 led to the prediction that such behavior is inherent to all oxides experiencing such a phase transition sequence.[1] Here, the ultra-wide band gap semiconductor GeO2 is confirmed to exhibit anomalous behavior during the rutile to CaCl2 phase transition. A phase pure rutile GeO2 sample synthesized under high-pressure, high-temperature, conditions is probed using …

Ultrafast Dynamics Of Two-Dimensional Electron Systems, Randy Michael Sterbentz

UNLV Theses, Dissertations, Professional Papers, and Capstones

On-chip terahertz time-domain spectroscopy (THz-TDS) is a technique useful for measuring the ultrafast electrodynamics of two-dimensional (2D) electronic systems. Charge carrier collisions occur on the sub-picosecond time scale, and strongly correlated electron interactions (such as superconductivity) typically have energies on the order of milli-electron-volts. These phenomena fall within the terahertz bandwidth, which has historically been difficult to access. Commercial electronics operate with transistors capable of switching rates of around 100 GHz, while small band gap semiconductors (like InGaAs) can detect light down to 0.75 eV (180 THz). When combined with the difficulty of measuring 2D layered materials, with lateral sizes …

A Comparison Of Airborne Tree Pollen In The Las Vegas Valley From 2017 – 2021, Asma Tahir

UNLV Theses, Dissertations, Professional Papers, and Capstones

Airborne pollen are a predominant cause of asthma, allergic disease, and respiratory infections. The strong allergenic potential of tree pollen is of a public health concern. Several allergenic trees grow in the Mojave Desert, but not all are native to the region. Concentrations of airborne tree pollen are affected by atmospheric, environmental, ecological, and geospatial factors. Previous research has reported high tree pollen concentrations in the Las Vegas Valley, but long-term comparison studies are lacking. This study measured and compared tree pollen concentrations from five different collection stations in Las Vegas. Pollen samples collected from January 1, 2017, to December …

Modeling The Mojave: A Multiphase, Mixed Methods Phenomenological Investigation Of Novice Understanding Of A Complex Ecological System, Nicole Juliana Thomas

UNLV Theses, Dissertations, Professional Papers, and Capstones

This research explores early college science majors’ conceptions of the Mojave Desert ecosystem as a complex system. A multi-level, explanatory sequential mixed methods design was employed to study college science majors’ understanding of the Mojave Desert ecosystem to better inform science pedagogy. The first level, the quantitative phase of the study, consisted of developing a mathematical representation of twelve ecosystem variables present within the Mojave Desert. The second level, the qualitative phase of the study, consisted of phenomenological semi-structured interviews with 23 early college science majors. The findings of this research suggest that the Mojave Desert operates as a complex, …

Towards Spatial Inversion Of Aerial Gamma-Ray Survey Data For Measurement Of Naturally Occurring Radioactivity, Daniel A. Haber

UNLV Theses, Dissertations, Professional Papers, and Capstones

Aerial gamma-ray surveying (AGRS) is used in geologic and environmental contexts to provide data on the surface spatial distribution of naturally occurring radioactive material (NORM) or other gamma-ray-emitting isotopes. The standard data reduction workflow for AGRS data involves a process whereby pointwise gamma-ray spectral data are denoised, corrected for numerous sources of background radiation and aircraft height, and are finally converted to physical values by empirical conversion factors. The reduced pointwise data are then typically spatially interpolated to form a continuous surface map.

This dissertation introduces and explores a novel spatial inversion method for reduced AGRS data that considers aircraft …

A Phenomenological Study Of The Experiences Of Adolescents With Emotional Behavioral Disorders In High School, Melissa Lawson

UNLV Theses, Dissertations, Professional Papers, and Capstones

Adolescents with emotional and behavioral disorders (EBD) face significant challenges in forming and maintaining peer relationships, yet their voices and lived experiences remain largely absent from the research literature. This phenomenological study explored how high school students with EBD perceive the impact of peer relationships on their academic, social, and emotional experiences at school. Using Moustakas's (1994) modification of the StevickColaizzi-Keen method, the researcher conducted in-depth semi-structured interviews with seven high school students (ages 15-18) who had received special education services under the EBD eligibility category for 5 to 10 years in a large, urban southwestern school district.

Five universal …

Reconstructing Central American Hydroclimate Changes Across Time From Isotopic Signatures In Modern And Paleo-Rainfall Records, Giuseppe Lucia

UNLV Theses, Dissertations, Professional Papers, and Capstones

Tropical monsoon rainfall is a key component of Earth’s climate system and supports the livelihood and economy of billions of people. Yet, projections of future monsoons remain highly uncertain, particularly in regions with distinct physiography and complex land-ocean-atmosphere interactions like Central America, where long and continuous high-resolution paleoclimate data to test climate model simulations are still limited. This series of studies aims to reconstruct monsoon dynamics and underlying forcing controls in Central America on multiple timescales by the analysis and integration of stable isotope data in modern and paleo-rainfall records from Guatemala.

In Chapter 2, I present a daily-resolution, two-year-long …

Ankimedbench: Evaluating Hierarchical Medical Knowledge In Language Model Embeddings, Neel Patel

UNLV Theses, Dissertations, Professional Papers, and Capstones

Despite achieving over 90% accuracy on medical benchmarks, recent studies show physicians cannot effectively leverage language models to improve clinical reasoning. Current benchmarks test isolated factual recall, but clinical practice requires hierarchical navigation through diagnostic categories—starting broad and narrowing systematically from chest pain to cardiovascular pathology to myocardial infarction to specific STEMI types. Existing evaluations cannot measure whether models preserve this taxonomic structure essential for clinical reasoning.

We introduce AnkiMedBench, built from 16,512 medical flashcards used by students preparing for licensing exams. Cards are organized across six hierarchy levels spanning 16 broad medical specialties to 672 specific diseases and conditions. …

Enviromental Dna (Edna) Tools For Invasive Mosquitofish (Gambusia Affinis) Surveillance At The Shoshone Pupfish (Cyprinidon Nevadensis Shoshone) Refugium, Yusuf Olamilekan Umar

UNLV Theses, Dissertations, Professional Papers, and Capstones

Spring-fed aquatic ecosystems of the North American Southwest and U.S. Great Basin hosts a plethora of endemic fish species due to the effects of hydrologic fragmentation that resulted from Pleistocene aridification. Threats to endemic fishes worldwide include human intentional or unintentional release of exotic species into their habitats. Early detection of invasive species, while corrective actions are still possible, is critical for management, yet traditional survey methods are often disruptive to sensitive ecosystems, costly, and limited in sensitivity. The recent development of environmental DNA (eDNA) approaches offers powerful alternatives for invasive species monitoring in aquatic systems. In this study, a …

The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet reports on the artificial intelligence (AI) readiness of five Mountain West metropolitan statistical areas (MSAs): Phoenix-Mesa-Chandler, AZ; Salt Lake City-Murray, UT; Denver-Aurora-Centennial, CO; Las Vegas-Henderson-North Las Vegas, NV; and Albuquerque, NM. Using data from the Brookings Institution's “Mapping the AI Economy” report, the MSAs are benchmarked based on their overall population, employment, talent, adoption, and innovation.

Employers’ Perceptions Of Workplace Readiness Skills, Tabitha S. Young, Natalie K. Ferand

Journal of Research in Technical Careers

Employability skills are continually changing, and the workforce provides the transparency needed for the success of business employment. Workplace readiness skills and human capital theory form the backbone for organizational success and sustainability. This study examined employers’ perceptions of workplace readiness skills at the expected proficiency level of an entry-level employee, the average level of skill for an entry-level employee, and the level of importance of the skill to their industry. The Virginia Workplace Readiness Skills have impacted employers and prepared students for the workplace. The results indicated that the workplace readiness skills mentioned in the literature align with the …

Reported Value Of Culturally Responsive Teaching Practices Of Virginia Agricultural Education Teachers, Natalie K. Ferand, Kendrick Spencer, Bradley Bowen

Journal of Research in Technical Careers

To address the increasing diversity in schools and the monolithic culture of teachers, researchers have called for pedagogies that reflect the diverse and pluralistic identities of students. While core academic areas have long adopted culturally relevant pedagogy, school-based agricultural education (SBAE) has lagged behind. This study aimed to determine the views of agricultural education teachers in Virginia on culturally responsive pedagogy dispositions and identify areas of professional development need. Teachers valued the differences among students and the communities in which their schools are located. However, results revealed a need for professional development in using the local community as a resource …

Online Experiential Learning In Career And Technical Education, Matthew Bornak

Journal of Research in Technical Careers

This scoping review investigates the integration of OEL into Career and Technical Education (CTE) programs. Using Arksey and O’Malley’s five-step scoping review framework, articles were identified through ERIC and Google Scholar and managed in Zotero. MAXQDA was used for coding, revealing thematic clusters related to modalities (synchronous, asynchronous, hybrid), technologies (LMS, AR/VR, simulation tools), and learner characteristics (nontraditional students, CTE-specific learning styles). The review highlights the conceptual anchors of Kolb’s Experiential Learning Theory, Carver et al.’s Experiential E-Learning Model, and Baasanjav’s online experiential design. Findings reveal that while OEL in CTE remains underexplored, it offers potential to increase accessibility, inclusivity, …

Controls On Speleothem Carbon Isotopes, Paloma Marcos

Undergraduate Research Symposium Posters

The Sistema Huautla cave system is the deepest known in the Western Hemisphere. It is located in the Sierra Mazateca Mountain Ranges near Jiménez de Huautla, Oaxaca. There are over 29 separately discovered entrances into this karst environment making it the 28th longest cave system in the world. It can be considered by some as one of the most complex vertical drainage systems on Earth. This extensive study site has been an area of interest among cavers and scientific researchers for nearly 6 decades. Speleothem samples from the study sites have been found to be over 433,000 years old. The …

Simulation Of Fluid Flow Based On Navier Stokes Equations, Ricardo Marquez, Javier Perez

Undergraduate Research Symposium Posters

This work presents a computational study of incompressible flow based on the Navier-Stokes equations using finite element method. The Crank-Nicolson approximation is used for discretizing the time derivative. The study consists of investigating the effect of the choice of finite elements and the size of the time step in obtaining the numerical velocity and pressure. This is illustrated with FreeFEM++ simulations of the von Karman benchmark flow problem. Profiles of drag, lift and pressure drop will be presented in time.

The Mathematics Of Motion: Applying Derivatives To Fluid Systems, Sayla Daily

Undergraduate Research Symposium Posters

Mathematical modeling through differential equations provides a basis for understanding change in physical and engineering systems. My project explores the transition from single-variable derivatives to multivariable partial derivatives and their applications in describing engineering applications. Beginning with the Fundamental Theorem of Calculus, derivatives are introduced as measures of change, quantifying relationships such as velocity and acceleration. The study then extends to partial derivatives, which represents systems influenced by multiple variables, including spatial and temporal factors. These principles are applied to model fluid motion, and pressure gradients, including the Navier–Stokes equations governing fluid dynamics. By linking mathematics with engineering applications, this …

Preparing For The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Kian Parikh, Taylor Volk, Maisoon Faris, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data from the Brainly report, “Here Are the States Most (and Least) Prepared to Win the AI Race in 2025” for the five Mountain West states of Arizona, Colorado, New Mexico, Nevada, and Utah. This fact sheet highlights the national and individual rankings of four key metrics for each Mountain West state: the fixed percentage of businesses using artificial intelligence (AI); the number of AI jobs per 1,000 workers; the number of AI-related degrees per 10,000 people ages 20-24; and federal funding for small business technology innovation per $1 million of gross domestic product (GDP).

Single Vs. Whole Muscle Group Assessments: Does The Specific Muscle Influence Its Association With Performance?, Carina M. Velasquez, Kealey J. Wohlgemuth, Mckenzie M. Hare, Kathryn E. Southall, Jacob A. Mota

Topics in Exercise Science and Kinesiology

Topics in Exercise Science and Kinesiology Volume 6: Issue 1, Article 11, 2025. Biometric Muscle size and echo intensity are thought to influence muscle function. Unfortunately, previous works often will examine a single muscle from a group of agonists as a metric of whole muscle performance. This approach may not always be the most appropriate to assess performance outcomes. The purpose of the study was to 1) quantify the association of muscle size and echo intensity with vertical jump performance (VJ), 2) Compare the associations between individual and whole muscle group size and echo intensity, 3) determine whether single or …

Artificial Intelligence (Ai) And The Anthropic Economic Index In The Mountain West, 2025, Cason Noll, Olivia K. Cheche, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2025 data on the state of artificial intelligence (AI) adoption among the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah. The data are sourced from the “Anthropic Economic Index,” which provides data on Claude.ai (an AI large language model) and its adoption across all 50 U.S. states and Washington, D.C. This fact sheet focuses on Claude.ai usage, the most common topic Claude.ai has been used for, and augmentation and automation shares for each Mountain West state.

Access Denied: An Argument Against King’S Propositional Access Principle, Jesse Fitts

Philosophy Faculty Research

Accounts of propositions face a problem that originates in the ontology of numbers: If propositions are abstract and causally isolated, then it’s unclear how agents cognitively access them. Jeff King presents a solution to this problem for his theory of propositions. King’s solution follows from a more general principle of cognitive access, which this paper challenges.

Reflections Through Ai: Visualizing Learning, Emotion, And Mindset, Diana L. Moss, Anna Schwarz

AI in the Classroom: A Virtual Summit

Attendees will learn about narrative identity, using AI as a reflective tool, and create a reflective artifact using AI. Narrative identities are stories that can help students make sense of their prior learning experiences. Negative experiences in math classrooms can influence students’ perceptions of the subject and sometimes cause negative feelings or anxiety towards learning math. For years, I have used drawing in conjunction with written explanation to observe my students’ thoughts and emotions towards learning mathematics. In my most recent iteration of using this activity in an undergraduate math class, one student described their feelings of learning math to …

U.S. Water Infrastructure: Diving Into Needs And Recent Policy Developments, Joseph Kane

Brookings Scholar Lecture Series

As part of the Brookings Scholar Lecture Series, Brookings Mountain West presents a lecture titled, "U.S. Water Infrastructure: Diving Into Needs and Recent Policy Developments" by Brookings fellow in Brookings Metro, Joseph Kane. Whether providing drinking water, treating wastewater, or managing stormwater, water infrastructure in the United States spans a wide range of human-made and natural systems. In turn, the enormous scale and variety of these systems is leading to an array of challenges: aging and vulnerable infrastructure; fragmented governance and siloed planning across different geographies; a lack of financial, technical, and managerial capacity; difficulties adapting to new industrial and …

Financial Inducements In Gambling Marketing: An Information Disclosure Proposal To Inform Gamblers Of Their True Economic Value, Philip Newall, Dominic Cortis, Jamie Torrance

UNLV Gaming Research & Review Journal

Financial inducements such as free bets are frequently-used gambling marketing offers which temporarily improve a gambler’s usual pattern of risk and potential return. Previous research has shown that there are up to 15 distinct types of financial inducements in common use, and that gamblers frequently misunderstand inducements’ play-through requirements and other complex terms and conditions. The Australian government has therefore recently banned play-through requirements for inducements shown to new customers, and the Great British regulator the Gambling Commission has recently announced a maximum play-through requirement of 10 times. The present work describes an alternative and yet potentially complementary approach based …

U.S News & World Report 2025 Graduate Program Rankings, Unlv & Unr, Dre Boyd-Weatherly, Caitlin J. Saladino, William E. Brown Jr.

Higher Education

This fact sheet presents 2025 graduate program rankings for the University of Nevada, Las Vegas (UNLV) and for the University of Nevada, Reno (UNR) based on the data published in spring 2025 by U.S. News & World Report. The graduate program categories reported include business, education, engineering, fine arts, law, medicine and health care, sciences and mathematics, and social sciences and humanities.

Rna’S Symphony: Harmonizing Splice Junctions And Exon Counts For A Novel Approach To Differential Splicing Analysis, Jelard Aquino

UNLV Theses, Dissertations, Professional Papers, and Capstones

Alternative Splicing (AS) plays a critical role in transcriptome complexity and cell-type-specific gene regulation, yet its analysis remains methodologically fragmented, especially in the context of noisy and sparse single-cell RNA sequencing (scRNA-seq) data. This dissertation addresses key computational challenges in AS detection by evaluating existing tools, developing integrative frameworks, and proposing new strategies for improving analysis accuracy in both bulk and single-cell contexts. In chapter 1, I present a comprehensive literature review of computational tools designed for detecting and quantifying AS from bulk and scRNA-seq data. This review outlines major methodological paradigms, including exon-based and splice junction-based approaches, and evaluates …

Hot Spring Associated Infectious Diseases In The Great Basin And Southwest, Matthew Bentz

UNLV Theses, Dissertations, Professional Papers, and Capstones

Like all bodies of freshwater, natural hot springs can harbor pathogenic microorganisms that carry the threat of infectious disease. The unique chemistry, increased temperature, and popularity for bathing may alter the risk profile of hot springs compared to other natural bodies of water. Despite this risk, the role of hot springs as a reservoir for infectious diseases remains understudied, particularly within the context of regional public health. Nevada and the Great Basin/Southwest have increasingly promoted hot springs for the purposes of tourism, and they share a strong link to the cultural heritage of the region. The unknown risk profile and …

Understanding Ore Deposit Scale Controls On Au Enrichment In Carlin-Type Au Mineralization: A High-Resolution Study Of The Rita K Deposit, Conner T. Callaway

UNLV Theses, Dissertations, Professional Papers, and Capstones

Controls on the distribution of gold (Au) within the Rita K Carlin-type deposit are poorly understood. The primary Au-bearing carbonate unit Wispy, is a bioturbated muddy limestone with debris flow clasts that range in size but are typically >5 cm occurring in the lower sections. The orebody is described as a syncline-anticline pair that hosts high-grade Au ore in the fold hinges. The spatial relationship between Au mineralization and fold hinges suggests that shortening due to folding is an important mechanism producing Au-enriched zones. However, the exact mechanism of Au enrichment and deposit-scale controls on Au distribution and fluid evolution …

Mechanisms Of Gold Enrichment In Seafloor Massive Sulfide Deposits: A Study On The Higashi-Aogashima Hydrothermal Field, Claudia Martinez

UNLV Theses, Dissertations, Professional Papers, and Capstones

The study of Seafloor Massive Sulfides (SMS) deposit formation is vital for assessing both the economic potential and environmental risks posed by future marine mining projects. Metal-rich SMS deposits form in hydrothermal vent systems within tectonically active regions, such as back-arc basins, where faults enhance crustal permeability, enabling fluid migration driven by magmatic heat sources at depth in the crust. Currently our understanding of SMS formation processes is based on bulk-rock geochemical and isotopic data, lacking the necessary spatial and temporal resolution to understand ore forming processes. As a result, critical gaps remain in understanding the exact mechanisms responsible for …

Investigating Information Extraction And Language Models In Medical Domain Text Processing, Pouyan Nahed

UNLV Theses, Dissertations, Professional Papers, and Capstones

This dissertation demonstrates that carefully adapted language-model pipelines can transform unstructured clinical-trial and pharmacological prose into reliable, low-latency structured data. Four interconnected studies support this claim.Tri-AL platform. An open-source dashboard ingests all 440 k+ ClinicalTrials.gov records—including every historical revision—into a normalized schema and parses the 20 GB XML archive over 10x faster than a BeautifulSoup baseline, while exposing hooks for demographic analytics and supporting integration of user-defined modules. Clinical trial summarization. An encoder–decoder model is trained on 57k description–summary pairs to condense clinical trials into a few sentences. ROUGE evaluation shows a 20% improvement over the baseline, while graph-based evaluation …

Pylro: A Python Calculator For Analyzing Long-Range Structural Order, Kevin Parrish

UNLV Theses, Dissertations, Professional Papers, and Capstones

We present PyLRO, an open-source Python calculator designed to detect, quantify, and display long-range order in periodic structures. The program’s design methodology, workflow, and approach to order quantification are thoroughly described and demonstrated using a simple toy model. Great care is considered in the detailing of the calculation logic, as is standard in the development of computational methods. Additionally, we apply PyLRO to a series of metastable AlPO4 structural intermediates from a prior high-pressure study, demonstrating how to compute and visualize structural order in all directions on a Miller sphere. We further highlight the program’s capabilities through a high-throughput analysis …