Digital Commons Network^™

Association Between Anxiety And Rrbs In Autistic Youth: Role Of Ethnicity, Catherine Rita Callaci

Loma Linda University Electronic Theses, Dissertations & Projects

Autistic youth are at elevated risk for developing co-occurring anxiety symptoms (Zaboski & Storch, 2018), which are shown to be related to restricted, repetitive behaviors (RRBs; Rogers et al., 2012). Despite similar rates of autism in Latinx as in non-Latinx White youth, limited research has been conducted in the Latinx population. Participants were autistic youth and youth with developmental delays (DD; N = 199, Mage = 4.98 years, Latinx = 66.3%, Male = 66.3%) from two larger randomized controlled trials investigating parenting stress. Child anxiety was measured via the Spence Anxiety Scales total anxiety T-scores. RRBs were measured via Repetitive …

The Association Between The Number Of Languages Spoken, Working Memory, And Emotional Regulation In Monolingual English Speakers And Fluent Multilingual English And Non-English Speakers, Eun-Sung Chang

Doctoral Dissertations

Despite the growing linguistic diversity of the population in the United States, multilingual individuals remain underrepresented in psychological research and often experience disparities in access to culturally and linguistically appropriate mental health care. Using a cross-sectional design and quantitative methods, the present study examined the relationships among the number of languages spoken, working memory, and emotional regulation. A total of 94 participants (30 monolingual English speakers and 64 multilingual speakers who spoke English and at least one other language fluently) completed the Working Memory Index (WMI) of the WAIS-IV and the Difficulties in Emotion Regulation Scale (DERS). Results revealed no …

Analyzing Environmental Education In Northern Mississippi And Its Impact On Student Outcomes, Vishnu S. Gadepalli

Honors Theses

This thesis examines environmental education in public high schools in northern Mississippi, investigating how educators describe its presence, delivery, and institutional support in communities disproportionately burdened by environmental harm. Seven semi-structured interviews were conducted with high school teachers across four northern Mississippi schools, transcribed verbatim, and analyzed through iterative thematic coding under Institutional Review Board approval. Five themes emerged: opportunistic curricular integration, time and standards as overriding structural constraints, passive institutional support, student receptivity tempered by limited awareness, and significant variation across school contexts with one magnet school as a clear outlier. The study concludes that environmental education in these …

High School Career And Technical Education (Cte) Programming And Post-Secondary Career Pathways: A Correlational Study, Richard P. Jorgenson

Dissertations, Theses, and Projects

The purpose of this quantitative correlational research project was to examine the association between the 6 CTE components (i.e., curriculum, work-based learning, mentorship/industry connections, student organizations/competitions, non-degree credentials, and experiential learning) and a students’ choice of a career pathway. The current literature stated the benefits of CTE but left a void as to which CTE component had the most impact on a student’s choice of a career pathway. With a theoretical framework based on the Career Self-Management Model, the author analyzed data from a sample consisting of current high school students, former high school students, and current CTE teachers to …

Artificial Intelligence And Translation: Exploring Current Applications, Limitations And Future Potential Of Language Models Through Japanese-English Translation, Loklin Elias Nord

Undergraduate Theses, Capstones, and Recitals

This thesis highlights the recent improvements and capabilities of Large Language Models (LLMs), specifically their ability to produce translations between different languages. The continued up-scaling of model sizes has led to breakthroughs in the level of their observed intelligence, allowing them to produce translations that are similar in quality to highly skilled human translators. However, to facilitate the reasoning processes that LLMs now possess, their demand for computational power and the supporting hardware and resources has increased proportionally. Considering the impacts of this technology on the environment, energy resources, and its accessibility, my research explores the possibilities of smaller, highly …

Sufism At The Service Of Ḥadīth Commentary: Re-Framing Al-Kalābādhī'S Baḥr Al-FawāʾId In Fourth-Tenth Century Transoxiana, Fadhil Yunus Alsagoff

Theses and Dissertations

This thesis examines Abū Bakr al-Kalābādhī’s (d. 380/990) understudied ḥadīth commentary, the Baḥr al-fawāʾid al-mashhūr bi-maʿānī al-akhbār. The first Anglophone study of the text as a whole, this thesis situates itself within the emergent literature on ḥadīth commentaries and challenges the prevailing scholarly tendency to reduce Sufi-authored commentarial texts to the ishārī method of interpretation and to treat them solely as repositories of Sufi themes. This thesis argues that, contrary to current perceptions of the text as primarily a work of Sufism, the Baḥr al-fawaʾid is first and foremost a work of ḥadīth commentary, its main intent being to …

Simulation-Based Assessment Of Operational And Retrofit Solutions For Effluent Compliance Of A Capacity-Limited Oxidation Ditch Wwtp, Ahmed Sameh Harash

Theses and Dissertations

Oxidation-ditch wastewater treatment plants (WWTPs) across Egypt's Nile Delta are increasingly carrying hydraulic and organic loads beyond what they were designed for. This work can be considered pioneering as this work compared operational and structural retrofit alternatives for such a plant within a single verified simulation framework. The present study fills that gap by building a digital twin of the Qaha WWTP, a dual-train Carrousel oxidation ditch in Qalyubia Governorate, calibrated to a baseline flow of 7,420 m³/day in the SUMO24 platform (a third-generation, open-source wastewater treatment process simulation software) using the SUMO2c biokinetic model (a simplified variant of Activated …

Here Comes The Sun: A Diachronic Study Of The Role Of Music In The Amarna Period, Waleed Hawatky

Theses and Dissertations

Music has and continues to play a prominent role in the lives of individuals and in society, hardwired into the human experience and integral to our understanding of the world in both its tangible and intangible manifestations. This was no different in dynastic Egypt, where abundant iconographic and physical evidence from the Old Kingdom onward shows music performed in many diverse contexts at every social level.

Music appears not only to gain prominence during the reign of Amenhotep IV/Akhenaten (c. 1353–1335), also known as the Amarna Period, but also to develop innovations, including new kinds of instruments and musical ensembles, …

Unearthing Potential: Impact Investors’ Perspectives On Egypt’S Social Enterprise Market, Yousef Hesham Shoukry

Theses and Dissertations

This thesis examines impact investing in Egypt from the vantage point of the impact investors, revealing that Egypt's constraint is not the availability of capital but its direction, as the absence of legal recognition, coordinated intermediaries, and a shared impact-measurement standard keeps capital out of a market otherwise rich in social enterprise potential. The study employed a constructivist grounded theory approach, drawing on eleven semi-structured interviews with impact fund managers, ecosystem enablers, and public-sector policy advisors operating in or considering Egypt's social enterprise market. Data revealed that practitioners converge on the founding principles of impact investment (combined financial and social …

A Maximum Energy Release Rate Computational Framework For Fatigue Crack Trajectory And Life Prediction Under Mixed-Mode Proportional And Nonproportional Loading, Nahla Helmy Matar

Theses and Dissertations

The problem of mixed-mode fatigue crack growth has been a persistent research challenge. The determination of fatigue crack propagation direction directly impacts the safety and integrity of components and structures, making it crucial in various industrial applications, including welded drilling pipes, aerospace, and automotive engineering. Unlike uniaxial loading, mixed-mode cracks tend to change direction frequently (kinking), and nonproportional loading adds to the complexity of the problem. This research aims to estimate the crack propagation direction and fatigue crack life in linear elastic materials subjected to mixed-mode (I+II) loading conditions under proportional or non-proportional cyclic loading. Numerical software was developed based …

An Assessment Of Carbon Dioxide Removal Potential From Stormwater Ponds Using Concrete-Based Materials, Yu-Hsuan Tai

Theses and Dissertations (Comprehensive)

Stormwater ponds (SWPs) are engineered stormwater infrastructure known to be major greenhouse gas (GHG) emitters, including carbon dioxide (CO₂). Concrete-based materials have great potential to capture CO₂ as carbonate minerals (CaCO₃), through aqueous carbonation, driven by their alkaline nature and high portlandite (Ca(OH)₂) content. However, the mechanistic understanding of how specific parameters including mass, surface area, and degradation of calcium silicate hydrate (C-S-H) phases collectively control carbonation kinetics and CO₂ uptake under dynamically evolving conditions remains underexplored. Laboratory-scale experiments were conducted to evaluate the effects of cement dosage, particle surface area, and …

Sexual Di(Et)Morphism: Using Experimental Evolution To Test Whether Resource Partitioning Promotes Divergence Of The Sexes In Drosophila Melanogaster, Owen A. Jamieson

Theses and Dissertations (Comprehensive)

Sexual dimorphism has been a long-studied phenomenon in the field of evolutionary biology. Usually, these differences in morphology, physiology and/or behaviour between the sexes are studied through the parsimonious lens of sexual selection. However, there are natural history cases where this lens does not seem applicable. Some species show sex specific morphological traits whose presence may not be due to a direct benefit to reproduction, but a difference in how each sex interacts with the environment and differing selective pressures from the environment on either sex. Darwin even brought up examples of this kind of dimorphism and pondered their existence, …

Breaking The Silence: Investigating The Impact Of Stigma On Help-Seeking Behaviors Among Adults With A History Of Adverse Childhood Experiences In Ghana, Deborah Amoako-Atta

West Chester University Graduate Theses, Dissertations, and Final Projects

In Ghana, cultural beliefs often silence open discussion about mental health. Many view emotional struggles as spiritual weakness, leading to stigma and avoidance of care. For adults who experienced Adverse Childhood Experiences (ACEs), this silence can worsen the long-term impact of trauma. While Western research links stigma to reduced help-seeking and shows that trauma knowledge can promote openness, little is known about how these relationships function within Ghana’s cultural context. This cross-sectional study examined how stigma and trauma knowledge influence help-seeking behaviors among 103 Ghanaian adults (ages 19-62, M = 30.0; 49% women) with childhood adversity histories. Participants completed anonymous …

Time Series Mediation Analysis With Non-Linear And Machine Learning Methods, Timothy Marsh

Theses and Dissertations (Comprehensive)

Non-linearity in mediation analysis has been primarily studied in the context of binary variables which encode a treatment and control, estimating a `direct` and `indirect` effect of a covariate (a.k.a. treatment) X on a response Y, with a third variable M (the `mediator`) that is affected by X and in turn affects Y. The focus of mediation analysis in general is to quantify the overall effect of X on Y, including the effect through M. This presentation will focus on one or more continuous treatments and apply non-linear methods, including splines and machine learning models, to mediation analysis in a …

Robust Statistical Methods For Microbiome Abundance Data, Yiming Shi

WUSM Theses and Dissertations – All Programs

Differential abundance analysis in microbiome studies aims to identify taxa whose abundance differs across biological or clinical conditions. The observed data are typically taxon-specific sequencing read counts, representing reads assigned to different taxa within each sample. These counts are indirect measurements of the underlying microbial abundance profile and are constrained by sample-specific library sizes. Microbiome count data are also typically sparse, overdispersed, and heteroscedastic. Together, these characteristics create substantial challenges for differential abundance analysis and make the results highly sensitive to normalization procedures, model specification, and the statistical methods used for inference.

Normalization defines the scale on which samples are …

Kindergarten Teachers’ Perceptions Of Instructional Approaches For Teaching Sequencing Concepts: Worksheet, Hands-On, And Beebot-Integrated Lessons, Savannah P. Partin

Electronic Theses and Dissertations

The purpose of this qualitative multiple-case study was to explore kindergarten teachers’ perceptions of three instructional approaches for teaching sequencing concepts: worksheet-based instruction, hands-on manipulative instruction, and BeeBot-integrated instruction. Sequencing is a foundational early literacy skill that supports reading comprehension, story retelling, and understanding the order of events. Although sequencing is commonly taught through traditional instructional methods, limited research has examined how kindergarten teachers perceive the use of educational robotics as a tool for literacy instruction. The study was guided by constructivist theory, sociocultural theory, and developmental systems theory. Participants included six kindergarten teachers from a public elementary school in …

Optimizing Inventory Management, William Hawkins

Agricultural Economics and Agribusiness Undergraduate Honors Theses

Inventory management is extremely important for businesses to maximize their profitability. Many factors go into the decision-making process for how much inventory to hold and when to restock this inventory. Through the process of an internship, I determined that some of the most important factors were the amount of a part that needed to be ordered at a time and what order quantities would allow for high levels of customer satisfaction. In this research, I compared these factors between the different models I studied, and the data I received from Riggs CAT to determine whether or not maximum efficiency and …

Pieces Solving A Puzzle: Emerging Roles And Cross-Field Analogies During A Distributed Epistemic Game, Jenna Matthews

All Graduate Theses and Dissertations, Fall 2023 to Present

In an effort to describe why some problems can’t be solved, a character compared them to a cubic meter of platinum - a block so dense that all the people who could squeeze around it still couldn’t lift it off the ground. In the same way, these problems simply can’t have enough people gathered around and communicating about them - and so they remain unsolved.

This research looks at the first Polymath Project (2009) as an example of a distributed epistemic game to examine how groups engage with complex problems. and without a locally omniscient individual. In this setting of …

Power At Sea Develop Phase, Jake Lauer, Isabella Heinemann, Bailey Gargasz, Zachery Boyer

Mechanical Engineering

This project develops a renewable, wave-powered charging system designed to extend the mission duration of Autonomous Underwater Vehicles by eliminating the need for frequent manual battery replacement. Building upon a prior oscillating water column prototype from the CONCEPT phase, the team redesigned and tested an improved system capable of converting wave-induced air motion into electrical power using a Wells turbine. Key enhancements include doubling the column diameter to increase displaced air volume, integrating a flared inlet and bi-directional nozzle to improve airflow, and selecting corrosion-resistant materials suitable for long-term deployment in marine environments. Multiple prototypes were constructed and evaluated through …

Comparative Performance Of Physiological Vital-Sign Forecasting Under Random And Patient-Wise Splitting Using Deep Learning, Lavanya Vasavi Chittem Reddy

Theses and Dissertations

Physiological vital-sign forecasting estimates future measurements based on recent temporal patterns and can support analysis of continuously recorded monitoring data. This study comparatively evaluated deep feedforward, recurrent, bidirectional recurrent, long short-term memory, and bidirectional long short-term memory architectures for one-step-ahead forecasting of peripheral oxygen saturation, heart rate, and pulse rate. Each model received consecutive observations of peripheral oxygen saturation, heart rate, pulse rate, respiratory rate, and age, while separate single-output models predicted the next value of the selected target.

Random and patient-wise data splitting were compared using identical input definitions, preprocessing procedures, model architectures, and training hyperparameters. The strongest architecture …

Extending Geometric Acoustic Ray Tracing To Multi-Room Environments: A Case Study On Gunshot Sound Transmission Between Adjacent Rooms, Tyler Ton

Theses and Dissertations

Accurate localization of gunshots in multi-room building environments remains a challenging problem in acoustic forensics and public safety applications. Existing approaches model sound propagation within a single room, neglecting the transmission of acoustic energy through walls and other building materials. This thesis presents a study on modeling multi-room gunshot acoustic transmission, combining geometric ray tracing with structural acoustic transmission-loss modeling to generate impulse responses for two horizontally adjacent rooms separated by a shared wall, providing a foundation for future inter-room gunshot localization work. The proposed system uses GSound-SIR, a geometric acoustics engine, to simulate sound propagation in both of the …

Computational Studies Of Triplet State Formation In Zinc Dipyrrin Complexes, Reuben Kwabla Adigbli

Electronic Theses and Dissertations

Zinc dipyrromethene complexes are promising earth-abundant photosensitizers due to their strong visible-light absorption and tunable excited states. To rationally design them for photocatalysis and photodynamic therapy, a molecular-level understanding of triplet-state formation is needed, but details of intersystem crossing remain unclear. To study the effect of π-extension, we synthesized an indole-substituted zinc dipyrrin complex: the dipyrromethane ligand was prepared from indole and mesitaldehyde, oxidized to the dipyrromethene, then coordinated with zinc. DFT and TD-DFT calculations determined ground and excited-state geometries and energies in different solvents, modeled absorption spectra, and visualized charge distributions. The results show how solvent polarity shifts energies …

Developing Imitation Learning Policies By Exploring Diffusion Framework For Quadcopters, Likith Swamireddy

Theses and Dissertations

Imitation learning offers a promising approach in developing near-optimal onboard policies for nonlinear systems, by learning from computationally expensive trajectory planners during offline training. Existing State-of-the-art methods commonly learn deterministic mappings from observations to actions by training fast neural networks to mimic the expert demonstrations, which can limit their ability to capture the action distribution, when the policy is trained on multiple possible expert commands to reach the same target, and this may lead to unsafe scenarios in the obstacle environments. To address these challenges, this study explores Diffusion Models (DMs) as a feedback controller for quadcopters that learns the …

Study Of Fast Switching Metastable-State Photoacids And Controlled Drug Release From Polycaprolactone (Pcl) Vascular Scaffold, Rana Salman Abbood Abbood

Theses and Dissertations

Metastable-state photoacid (mPAH) has become a common tool for controlling and driving chemical processes with light. mPAHs with fast reverse reactions are desirable for precise temporal control or generating quick pulses of proton concentration. In this work, different approaches towards fast reversing mPAHs are studied. Experimental and computational results showed that stabilizing the charge–transfer intermediate is an effective way to increase the rate. A novel mPAH with a reverse reaction ≈500 times faster than the most widely used mPAH in methanol has been developed. Another water-soluble mPAH exhibited a reverse reaction with a rate constant of 7.8 s−1, the fastest …

The Economics Of Modern Basketball Fandom, Holden Velasco

Capstones

In an increasingly money-sucking economy, many Americans are feeling the aching of their wallets. Basketball, once serving as an escape from the outside world, has now turned into a money-making machine where fans are paying to keep it running. It’s inescapable, whether it’s the rising costs to watch the professionals, forking thousands of dollars for children to play or sports gambling being plastered everywhere. Basketball no longer feels like basketball.

Enhancing Agricultural Sustainability Under Climate Change: A Multi-Scale Framework Integrating Climate Extremes, Resource Efficiency, And Data-Driven Modeling, Shahryar Fazli

Computational and Data Sciences (PhD) Dissertations

Agricultural systems are increasingly challenged by climate variability, where shifting temperature regimes, hydrological variability, and the rising frequency of compound and cascading extremes threaten global food security and resource sustainability. Addressing these challenges requires integrated frameworks that bridge biophysical monitoring, predictive modeling, and adaptive decision-making. This dissertation develops a data-driven, multi-scale framework to quantify and enhance agricultural resilience by integrating remote sensing, climate analytics, and machine learning across the United States, with a focus on California and the Western U.S.

First, hyperspectral and thermal remote sensing data from EMIT and OpenET are integrated to characterize crop nitrogen–water interactions and assess …

Integrating Student-Mined Data In Youth Computer Science Learning: An Investigation Of Learning Outcomes And Educational Strategies, Alex Acquah

Open Access Theses & Dissertations

As data increasingly shapes participation in society, there is growing emphasis on preparing youth to engage with data through computer science education. Existing K-12 computing and data science curricula have expanded opportunities for learners to analyze and interpret data; however, many learning experiences continue to rely on datasets and inquiry structures designed by others, limiting authentic engagement, personal relevance, and learner agency. This dissertation investigates the integration of student-mined data in youth computer science learning and examines its influence on computational thinking, epistemic agency, and learning experiences among high school students. Using a qualitative approach, data collected from youths of …

Toward Optimizing Fruit Production In Utah Soils: Apple Salt Tolerance Screening And Tart Cherry Fertility Management, Kaitlin Dabbs

All Graduate Theses and Dissertations, Fall 2023 to Present

Fruit production in Utah can be challenging due to local climate and soil conditions. Tart cherries and apples are major fruit crops in Utah, and improvements to these cropping systems would be beneficial for farmers and local consumers. Two experiments were conducted to evaluate desired improvements for these crops. The first study looked for salt tolerance in ten new apple rootstocks. Salty soils can be found throughout the state limiting the land suitable for apple production. When grown in salty soils apple trees often have reduced growth and production potential. A specialized drip irrigation system was constructed in a greenhouse …

Wildfire And Fuel Treatments In Utah: A Practical Guide And Outcomes From An Oak-Maple Ecosystem, Annie E. Prescott

All Graduate Theses and Dissertations, Fall 2023 to Present

Wildfire is a natural part of Utah’s landscapes, but as wildfires become more extreme and communities continue to expand into wildland areas, it is increasingly important to understand how wildfires behave and how their negative effects can be mitigated. One way to reduce wildfire risks and protect life, property, and ecosystem services is through fuel treatments — actions that reduce the amount and arrangement of flammable vegetation through mechanical removal, wildland fire, or other methods.

Information on wildfire behavior and fuel treatments is abundant but often scattered, ecosystem-specific and difficult to access. In addition, most research in the Western U.S. …

Scalable Quality Assessment Of Ground Motion Records Via Interpretable Deep Learning Architectures, Ali Montazeri Namin

All Graduate Theses and Dissertations, Fall 2023 to Present

Earthquake engineers rely on accurate recordings of ground shaking to design safe and resilient buildings. However, sorting through thousands of these recordings to find the reliable ones and throwing out those ruined by sensor errors or background noise is traditionally done by hand. Because modern seismic networks collect massive amounts of earthquake data every day, this manual checking process is much too slow. To fix this, researchers are turning to artificial intelligence to automatically check the quality of these recordings.

While artificial intelligence offers a fast solution, there are limitations. These computer models can become massive and expensive to run, …