Digital Commons Network^™

The Lived Experiences Of Lgbtq+ Individuals Living In Male Residential Spaces In The South, Bri Reda

Electronic Theses and Dissertations

While LGBTQ+ visibility on college campuses has increased, LGBTQ+ students still report negative experiences, particularly in residential environments where harassment and unwelcoming attitudes are common (Kortegast, 2017; Pryor, Ta, & Hart, 2016). Previous studies have shown that LGBTQ+ individuals often conceal their identities in residence halls due to discomfort, further diminishing their feelings of safety and connection to the campus community (Blakmon, O’Hara, & Viars, 2020; Pryor, Ta, & Hart, 2016). Despite efforts to implement inclusive policies, little research has explored the experiences of LGBTQ+ individuals in male-assigned residence halls, especially in states like Mississippi with gender-segregated housing requirements (Mississippi …

Design And Prototyping Of An Acoustic Positioning System For Gps-Denied Environment, Harley Hogan Garrett

Electronic Theses and Dissertations

Finding the placement of sensors is known as sensor localization, and is a necessary task to ensure that a network is capable of array processing operations, such as direction of arrival measurements. This thesis proposes a method to perform sensor localization for a wireless sensor network using acoustics. Each sensor is equipped with a microphone, speaker, and processor. Using these, the proposed system is able to find the distance between each sensor and later the geometry of the network. A series of optimizations help reduce error and improve the final accuracy of the system to within 6.5 cm. The proposed …

Reading Teacher Perceptions: The Impact Of Educator Preparation Program Literacy Coursework And Clinical Experiences On Teacher Efficacy In Historically Underrepresented Populations, Emily Taubken

Electronic Theses and Dissertations

Despite research that indicates the critical importance and lifelong impact of early reading proficiency for students, national reading proficiency trends demonstrate most students in the United States are not yet reading at grade level, with disparities existing among historically underrepresented subgroups. Additionally, research shows that preservice and in-service teachers have documented limited feelings of self-efficacy in teaching reading specifically, suggesting limitations in preservice training for educators. To better understand how reading teachers perceive the efficacy of their preservice teacher academic and clinical experiences, especially for those who serve historically underrepresented student populations, this study seeks to document the perspectives of …

Out-Of-Pocket Costs, Treatment Pattern, And Disparities In Outcomes Among Adults With Chronic Lymphocytic Leukemia, Shishir Maharjan

Electronic Theses and Dissertations

The purpose of this dissertation was to: 1) determine out-of-pocket cost trend and the impact of Inflation Reduction Act (IRA) provisions on the out-of-pocket costs among Medicare-enrolled chronic lymphocytic leukemia (CLL) patients; 2) evaluate treatment patterns and comparative effectiveness of therapeutics classes for CLL treatment in adults; and 3) assess racial disparities and time to treatment initiation in survival outcomes among Medicare-enrolled beneficiaries with CLL.

In objective 1, a cohort study using SEER-Medicare linked data from 2006 to 2020 identified 13,356 eligible beneficiaries with incident CLL. Among them, 3,158 (23.7%) were projected to benefit from the IRA’s $2000 annual out-of-pocket …

Energy-Efficient Task Offloading Frameworks For Mixed Reality And Extended Reality In Edge Ai Environments, Mahin Khan Mahadi

All Theses

Mixed Reality (MR) and Extended Reality (XR) technologies are increasingly integrated into real-time applications such as remote maintenance, spatial navigation, and immersive learning. However, the computational intensity of deep learning workloads, especially object detection models like YOLO, poses significant challenges for wearable XR devices with limited processing power and battery life. To address these challenges, this thesis presents a comprehensive study of adaptive offloading strategies that optimize task execution between XR devices and edge servers.

We first proposed the Binary Spatial Allocation Framework (BSAF), which introduced a real-time binary decision mechanism for XR systems. The BSAF framework evaluates scene complexity, …

Mechanical Property And Thermal Stability Characterization Of Additively Manufactured Chicken Feather Fiber/Polybutylene Succinate (Pbs) Green Composites And In-Situ Pore Detection From Fdm 3d Printing Videos, Md Shariful Islam

All Theses

The poultry industry generates millions of tons of chicken feathers annually, most of which are underutilized and discarded as waste materials. Chicken feather fiber (CFF), primarily composed of keratin, possesses low density, biodegradability, and favorable mechanical properties, making it a promising reinforcement for sustainable composite materials. This research primarily focused on developing sustainable bio-composites using poultry waste, chicken feather fiber, and biodegradable polymers, specifically Polybutylene Succinate (PBS), for additive manufacturing applications. Composite filaments of varying fiber loadings (0.5, 1, and 2 wt%) were produced through filament extrusion and processed into test specimens using fused deposition modeling (FDM).

Mechanical properties were …

Utilization Of Mushroom Stems As A Feed Resource For Sustainable Poultry Production, Kayla Stamps

All Theses

Soybean meal (SBM) is the primary protein source in poultry diets; however, its escalating cost and the environmental impact of soybean cultivation underscore the need for sustainable alternatives. Mushroom stems are generated at large volumes as agricultural waste, yet contain bioactive compounds and essential nutrients that may benefit poultry health and productivity. Despite these attributes, limited research has evaluated their potential as feed ingredients across different poultry species. This study addressed this gap by investigating whether mushroom stem powder can partially replace SBM in poultry diets while improving performance, health, and environmental outcomes.

Specifically, four experiments were conducted to evaluate …

Knowledge Acquisition On Mass-Shooting Events Via Llms For Ai-Driven Justice, Benign Ihugba

All Theses

Mass-shooting events pose a significant challenge to public safety because they generate large volumes of unstructured textual data, making it difficult to conduct effective investigations and formulate public policy. The proposed knowledge acquisition system utilized Large Language Models (LLMs) with few-shot prompting to extract vital information from news articles, police reports, and social media content at high speed. The system used entity recognition to detect vital information, which included offenders, victims, locations, and criminal instruments that support legal investigations. An experimental study conducted on actual mass-shooting datasets showed GPT-4o performs best for mass-shooting NER. The o1-mini delivered competitive performance while …

Comparative Evaluation Of Power And Timing Simulation-Based Side Channels For Hardware Trojan Detection, India Shazuliyah Jade Elkhazin

All Theses

Hardware Trojans are covert modifications to integrated circuits that alter function or leak information while avoiding traditional verification. This thesis presented a simulation-based side-channel study of the AES-T1800 benchmark, utilizing power and timing analyses. The methodology aligned value change dump signals with waveform windows to correlate internal switching with external power signatures and compared timing slack distributions between a Trojan Free build and a Trojan Intruded build after implementation in the design tool.

Power analysis revealed a clear and repeatable fingerprint during Trojan activation. In filtered traces, the Trojan Free run rose from about 0.8×10⁻⁷ W to a steady level …

Observations And Analyses Of Heptane Fuel Jets Under Supercritical Conditions In Microgravity, Zoë Isabella Alexander

All Theses

Advanced combustion engines are trending towards high-pressure operations to increase the efficiency and power of the engines. Injecting liquid fuel at subcritical temperature into a supercritical ambient temperature and pressure environment is a key challenge in many practical combustion engines. This process involves fuel transitioning from subcritical to supercritical conditions, leading to combustion through jet atomization and droplet formation. Due to the complexity of this problem, the current research divided the process into two areas focused on the combustion of a single droplet and the fundamentals of the liquid transition in a jet stream in an inert environment at supercritical …

Integrating Gis And Machine Learning To Uncover Spatial, Temporal, And Contributing Factors To Bicycle Crashes, Precious Kamsiyo Ejikeme

All Theses

The recent drive for a cleaner environment has led to an increase in greener modes of transportation, including the use of bicycles. These emerging trends have led to an increase in bicycle-related crashes. According to the CDC, an estimated 1,150 cyclists were killed in 2023, with 120,000 sustaining non-fatal injuries. Transportation planners and agencies are under pressure to make cycling safer by providing dedicated bike lanes and improving existing infrastructure. To accomplish this, it is very important to understand which factors contribute to bicycle crash severity across different roadways.

Despite recent advancements in modeling bicycle crash severity, most studies rely …

Sex, Riots, And Holy Water: How Modern Society Desecrates And Reconsecrates The Sacred, Jodeyah J. Mills

Electronic Theses and Dissertations

This thesis explores how modern societies desecrate and reconsecrate the sacred through rhetoric, ritual, and visual performance. Using three case studies, Nazi Germany’s transformation of Quedlinburg Abbey, the January 6th attack on the U.S. Capitol, and Sabrina Carpenter’s controversial church music video, “Feather,” this project analyzes how sacred meaning is violated and restored in religious, civic, and popular contexts. Drawing on Kenneth Burke’s dramatistic cycle and postsecular theory, it argues that desecration and reconsecration are dialogic acts that expose competing moral vocabularies within culture. Each event demonstrates that even in a secular age, people respond to ruptures of ultimate meaning …

The Revised Risk Analysis Index Outperforms The 5-Factor Modified Frailty Index In Predicting Postoperative Morbidity After Pilon Fracture Fixation., Gabriel Deoliveira, Amber Park, Arsalaan Sayyed, Aruni Areti, Nithin Gupta, Taylor Manes, Morgan Turnow, Benjamin Taylor, Jack W Weick

Trauma and Acute Care Articles

BACKGROUND: Pilon fractures often result from high energy mechanisms resulting in long-term morbidity and postoperative complications. While there is extensive literature investigating frailty scales as tools for preoperative risk stratification in orthopedic surgery, there is no literature regarding their use in fixation of pilon fractures. The objective of this study was to compare the predictive ability and discriminative accuracy of the Revised Risk Analysis Index (RAI-rev) and the 5-Item Modified Frailty (mFI-5) in 30-day postoperative outcomes following surgical fixation of pilon fractures.

METHODOLOGY: The ACS-NSQIP database was used to identify patients undergoing surgical fixation of pilon fractures from 2015 to …

Automated Assessment Of Periapical Health Based On The Radiographic Periapical Index Using Yolov8, Yolov11, And Yolov12 One-Stage Object Detection Algorithms, Shehabeldin Mohamed Saber Prof.Dr., Ahmed A. Torky Phd

Dentistry

This study investigates the application of recent YOLO (You Only Look Once) algorithms for automated detection and classification of apical periodontitis using the Periapical Index (PAI) scoring system (1–5). A dataset of 699 digital periapical radiographs was collected from diverse sources, de-identified, and annotated by calibrated experts before splitting into training, validation, and testing sets. Three deep learning models (YOLOv8m, YOLOv11m, YOLOv12m) were trained and their performance was evaluated using Precision, Recall, F1 score, mean average precision (mAP50), Intersection over union (IoU), and confusion matrices. Two-sided McNemar’s exact test was further conducted to compare models on lesion-level outcomes. The results …

Comparative Evaluation Of Maxillary Partial Denture Frameworks Additively Manufactured With Different 3d Printing Techniques, Basma Refaat Fayad, Islam Heiba Dr, Eman Gamal Abdelghaffar, Ayman Hany Amin

Dentistry

Objectives: To compare the accuracy of fit, surface roughness, and microstructure of cobalt chromium (Co-Cr) maxillary removable partial denture (RPD) frameworks fabricated using direct metal laser melting (DMLS) and selective laser melting (SLM). Methods: A custom Kennedy Class II maxillary partial edentulous resin model was digitally scanned, and a virtual RPD framework was designed. Frameworks were fabricated using DMLS (Co-Cr, n = 8) and SLM (Co-Cr, n = 8), while a control group was produced using a hybrid digital-conventional protocol by lost-wax casting (CAST-Co- Cr, n = 8), in total 24 frameworks. Overall and point comparison adaptation was assessed using …

Mental Health Outcomes Of A Pediatric-Focused Obesity Randomized Control Trial In Rural Communities, Brittany D. Lancaster, E. Goldenberg, A. S. Trofimoff, Y. Dai, B. Forseth, R. S. Romine, K. Fleming, Ann M. Davis

Publications

Objective: This study explores the impact of iAmHealthy, a rurally focused pediatric obesity intervention, on mental health outcomes and examines how baseline mental health affects body mass index (BMI) outcomes for child–parent dyads in rural communities. Method: Eighteen schools were randomly assigned to iAmHealthy or the Newsletter Control group. iAmHealthy consists of health coaching and group sessions via televideo. Child and parent height and weight, child depression, child quality of life, and parent distress were assessed at baseline, posttreatment (8 months), and follow-up (20 months) from October 2017 to December 2021. Multilevel modeling assessed treatment effects on mental health and …

Stochastic Functional Data-Driven Models For Real-Time Battery Health Forecasting Under Dynamic Operating Conditions, Joshua Owusu

Electronic Theses and Dissertations

This thesis provides an effective statistical model to predict the real-time state of lithium-ion batteries for reliable Battery Management Systems (BMS). It highlights battery data (voltage, current, temperature) as smooth functional curves. The principal method demonstrates diminishing trends to health outcomes like State of Health (SoH) and Remaining Useful Life (RUL) by employing Functional Principal Component Analysis (FPCA) and Bayesian Functional Linear Models (FLMs). The primary objective is to figure out how uncertain forecasts are. Simulations demonstrate that the highest accuracy (lowest MSE) is achieved through low noise levels along with large sample sizes. The final system provides a highly …

The Development Of Teacher-Student Relationships In The Elementary School Setting And Their Influence On The Whole Child, Jana H. Kline

Electronic Theses and Dissertations

The relationship students have with teachers can influence their social development, behavior, and academic performance. Some teachers naturally build positive relationships with students while others may not realize the importance or know how to build them unless specific strategies are given. The purpose of this phenomenological, qualitative research study was to examine teacher perceptions of the development of relationships with students in the elementary school setting and their influence on the whole child.

To address this purpose, data collection strategies included individual interviews with elementary school teachers. Analysis of data involved transcribing interviews and line-by-line coding. Themes regarding teacher-student relationships …

Interpreting, Implementing, And Imagining Transfer Policy In South Carolina: A Transformative Institutional Ethnography, Lori Allen Heafner

Electronic Theses and Dissertations

This institutional ethnography explores the implementation of vertical transfer policies in South Carolina, where community and technical college students face persistent barriers in transferring credits to four-year institutions. Despite the growing population of students who begin their academic careers at two-year colleges with aspirations for a bachelor’s degree, South Carolina lacked a formal, statewide transfer policy until 2023. This dissertation investigates how front-line professionals, such as transfer coordinators, transfer advisors, registrars, and other transfer personnel, interpret and implement new transfer policies in practice. The study centers their experiences to illuminate the disjuncture between policy design and institutional realities.

Using transformative …

From Parallel Beginnings To Divergent Destinies: A Comparative Study Of China’S State-Led Liberalization Growth And Pakistan’S Dependency Trap, Safeer Ahmad

Electronic Theses and Dissertations

This study investigates the development trajectories of China and Pakistan, which shared a similar colonial legacy and hampered economic, political, and social conditions at the time of their establishment in the mid-20th century. However, despite these similarities, the former is a global power, and the latter is still struggling to project a sustained development approach in the 21st century. This research addresses this divergent outcome by using a comparative approach to analyze the institutional, economic, and policy decisions of both countries that eventually shaped their contemporary position and role in the international community. China’s reformation period under a centralized government …

Visualizing The Fretboard: Arpeggiated Patterns, Muscle Memory, And Neurocognitive Strategies For The 5-String Electric Bass, Matthew Alexander Woisin

Electronic Theses and Dissertations

Proficient navigation of the 5-string electric bass requires a comprehensive mastery of various techniques and a solid understanding of music theory. This includes a detailed grasp of arpeggios, chord extensions, and the development of deeply ingrained muscle memory for precise execution. This thesis introduces a structured methodology that refines existing fretboard visualization techniques and applies a unique manner of fretboard mapping, offering a more precise framework for comprehending and unlocking the full range of the instrument. By drawing insights from music theory, music education, cognitive science, neuroscience, and technology this approach is achieved by synthesizing research on visual pattern recognition, …

Bone Void Filler Materials For Augmentation In Comminuted Fractures: A Comprehensive Review, S. Sina Mohammadi, Sunjeev S. Phull, B. Sonny Bal, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Comminuted fractures, characterized by multiple bone fragments, present significant challenges in orthopedic surgery. Effective treatment often requires augmentation techniques to enhance fixation stability and promote bone regeneration. This review explores the application of bone void filler materials, including autografts, allografts, polymethyl methacrylate (PMMA), and synthetic bone substitutes such as calcium phosphate ceramics and bioactive glass, in managing comminuted fractures. Autografts are the gold standard due to their superior osteogenic potential but are limited by donor site morbidity and availability. Allografts mitigate these issues but face concerns regarding immunogenicity and reduced biological activity. PMMA, widely used for structural augmentation, provides immediate …

Local Hydrodynamics And Phase Distribution In Large-Scale Trickle Bed Reactors Using Multi-Detector Γ-Ray Densitometry, Sebastián Uribe, Ahmed Jasim, Saba A. Gheni, Nora Selem, Nouhaila Filali, Tiberiu M. Leib, Sourav Sengupta, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study presents a new approach of using gamma ray computed tomography (CT) in a form of arc multi-detector γ-Ray Densitometry (Arc MD-GRD) Technique where it measures the line averaged holdups of the phases which are projected on the diameter of the column to obtain their diameter profiles. This technique then was used to investigate the diameter profiles of the phases' holdups in a 12-inch diameter trickle bed reactor (TBR) using sulfur hexafluoride (SF6) as the gas phase to represent to a certain extent the industrial higher density of the used gas phase due to either the type of the …

Ai-Driven Decision-Making In Leadership: Balancing Automation And Human Judgment For Optimal Organizational Performance, Arafat Mohammed, Sulaiman Abdullahi Bambale, Umar Abdullahi

Journal of Economics and Administrative Sciences

This study examines how artificial intelligence (AI)-driven decision-making can be effectively balanced with human judgment to enhance organizational performance and ethical leadership. The research adopts a systematic literature review covering studies from 2015 to 2025, retrieved from Scopus, Web of Science, IEEE Xplore, and Google Scholar. Through thematic analysis, the review identifies three core dimensions: (1) the impact of AI on strategic accuracy and operational efficiency, (2) the mediating role of human judgment in fostering innovation and trust, and (3) the influence of ethical AI governance on employee well-being and accountability. The findings reveal that organizations integrating AI’s analytical precision …

Analysis Of The Role Of Agricultural Investment Policies And Agricultural Lending In Developing Commodity Production Of Rice Crops, Istibraq Mansour Falih, Omar Hameed Majeed

Journal of Economics and Administrative Sciences

This study investigates the impact of agricultural investment policy—represented by agricultural loans and investment allocations—on rice crop production in Iraq over the period 2003–2023, employing the Autoregressive Distributed Lag (ARDL) model. Using time-series econometric analysis, the study confirms a short-term positive and statistically significant effect of financial support on rice output, while revealing statistically insignificant long-term effects. The presence of a cointegration relationship suggests long-term equilibrium between agricultural policy variables and rice production. However, the absence of causality in the Yamamoto-Toda test implies that structural and institutional inefficiencies may dilute the long-term impact of financial interventions. Practical implications of the …

Assessing Technology Adoption In The Construction Industry, Lucas D. Gibbons

Construction Management

The construction industry is steadily integrating new technologies, yet adoption varies widely depending on company size, market sector, and internal readiness. This study examines how common technologies such as drones (UAVs), Building Information Modeling (BIM), robotics and automated equipment, laser scanning/LiDAR, AI-driven scheduling or analytics tools, and augmented or virtual reality (AR/VR) are being applied in practice, and what benefits they are delivering to construction organizations. To better understand the factors shaping adoption, a survey was administered to members of the CMAC (Construction Management Advisory Council) board representing a range of contractors and industry stakeholders. The survey assessed current technology …

Privacy-By-Design: Case Studies In Interactive Record Linkage Using A Hybrid Human-Computer System, Hye-Chung Kum, Eric Ragan, Mahin Ramezani, Gurudev Ilangovan, Theodoros Giannouchos, Qinbo Li, Adam D'Souza, Elmer V Bernstam, Jeffrey R Curtis, Alva O Ferdinand, Cason Schmit

Faculty, Staff and Student Publications

Objective: High-quality patient matching from several sources without a common identifier (ID) requires interactive record linkage (RL) using a hybrid human-computer system. MiNDFIRL (MInimum Necessary Disclosure For Interactive Record Linkage) is a hybrid prototype software system that facilitates maximizing linkage accuracy while minimizing information disclosure. We present and evaluate MiNDFIRL using two real-world case studies.

Materials and methods: Two user studies were conducted linking 10,000 data pairs from EHR data and 18,240 unique patient IDs from patient generated data. After automated RL, manual review was conducted by three teams of four reviewers (12 total) using MiNDFIRL to resolve potential matches …

High-Risk Medications In Pediatric Dentistry: Patterns, Outcomes, And Clinical Implications, Yilei Liu, Kawtar Zouaidi, Colin C Hubbard, Muhammad F Walji, Matthew R Cooke, Donald B Rindal, Kristin N Ray, Elsbeth Kalenderian, Katie J Suda

Faculty, Staff and Student Publications

Background: High-risk medications such as opioids and benzodiazepines are frequently prescribed in pediatric dental care, yet their prescribing patterns and associated adverse outcomes remain poorly understood. The aim of this study was to determine the extent of such prescribing to pediatric patients and factors associated with adverse outcomes.

Methods: MarketScan data for patients younger than 18 years with a dental visit from 2014 through 2019 were analyzed. High-risk medications included benzodiazepines, barbiturates, and opioids. Composite outcomes included hospitalization, emergency department visit, or urgent care visit within 7 days after the dental visit. Opioid-attributable outcomes included opioid-related overdose within 7 days …

Llu Dentistry 2025 Winter Edition, Loma Linda University School Of Dentistry

Articulator (Dentistry)

In this issue:

4 | Dean's Message
5 | Transforming the Future of Dental Education: The Strategic Vision and Growth Plan
8 | Honoring a Legacy of Excellence: Celebrating Leif K. Bakland, DDS
12 | Transitions
14 | Welcome New Faculty
16 | Celebrating Excellence in Dentistry: 2025 ICD USA Section Annual Meeting & Convocation
18 | LLUSD faculty publish study on Dental Unit Waterline treatment in the Journal of the American Dental Association
21 | Celebrating 15 Years of PNAM Treatment at LLUSD
23 | A Journey of Healing: Shirely's Transformation
24 | Exploring Future Careers in STEM: The …

The Economics Of Us Row Crop Production With Large-Scale Autonomous Machines, Joshua Strine, Chad Fiechter, James Lowenberg-Deboer

Department of Agricultural Economics Faculty Publications

Labor challenges are underpinning large multinational farm machine manufacturers' development of autonomy solutions for their large-scale machine offerings. This study simulates a linear optimization model to examine the economics of large-scale autonomous machines for a rotational maize and soybean farm in the Midwest US. Results support the hypothesis that autonomous machines can be economically viable for farms facing severe labor shortages. However, under current technology and pricing structures, conventional mechanization remains the most profitable option for farms with reliable labor. Critical factors shaping the competitiveness of autonomy include subscription fees, field efficiency, and human supervision requirements. As these factors evolve, …