Digital Commons Network^™

Using Provided Guided Notes In Coordinated Introductory First-Year Mathematics Courses, Jennifer L. Huber

Mathematics Dissertations

The goal of this study is to investigate how standardized guided notes shape instructional practices and student engagement in coordinated introductory first-year college mathematics courses at a large public university. The researcher explored three multi-section introductory mathematics courses with overlapping learning objectives. Each course required students to purchase a student workbook as part of the instructional materials for the class. The instructors taught primarily from the workbook containing guided notes created by a former coordinator of the course. The researcher used a mixed-methods approach. Instructors and students participated in surveys, class observations and provided class meeting notes. Instructors shared additional …

Enhancing The Performance Of Disk-Based Key-Value Stores: From Learned Index Acceleration To I/O-Efficient Hybrid Caching, Sujit Maharjan

Computer Science and Engineering Dissertations - Archive

The exponential growth of data in modern computing environments has rendered the efficient extraction of information from massive datasets a critical systemic requirement. Key-value (KV) storage systems serve as the backbone for these operations; however, their performance is consistently bottlenecked by two primary functional requirements: identifying the data's location and managing the physical cost of accessing the storage device. Data locations are typically identified via an index, while disk I/O is minimized through caching. This dissertation presents LearnedStore, TurboIndex, and ReadBooster, which break these performance bottlenecks by introducing architectural modifications to the index and cache. LearnedStore accelerates operations by adapting …

Adaptive Synchronization In Digital Twin–Enabled Iot Systems: A Unified Framework For Energy, Fidelity, And Latency Trade-Offs, Uzma Zehra

Computer Science and Engineering Theses

Digital twin technology has emerged as a foundational paradigm for enabling real-time monitoring, analysis, and control in Internet of Things (IoT) systems by maintaining virtual representations of physical processes. Its effectiveness, however, critically depends on timely and accurate synchronization between distributed sensing devices and their corresponding digital counterparts. Frequent synchronization improves reconstruction fidelity and system responsiveness but incurs significant communication energy consumption and network latency. In contrast, infrequent synchronization conserves communication resources but can lead to stale or inaccurate digital twin states, particularly in environments with rapidly changing dynamics. These opposing effects give rise to a fundamental trade-off among energy …

Performance Evaluation Of Modified Moisture Barrier For Subgrade Stabilization Of Pavements On Expansive Soils, Md Tamim Shahriar

Civil Engineering Theses

Expansive soils inflict an estimated nine to fifteen billion dollars in annual damage to infrastructure across the United States, surpassing the combined losses from earthquakes, floods, hurricanes, and tornadoes (Nelson and Miller, 1997; Jones and Jefferson, 2012). In Texas, eighteen of twenty-five TxDOT districts contend with pavement failure rooted in moisture-driven volume change of subgrade clay, consuming roughly twenty-five percent of the agency's annual budget for maintenance and repair (Sebesta, 2002; Wanyan et al., 2010). Conventional remediation approaches, including soil replacement, chemical stabilization with lime or cement, and prewetting, are either prohibitively expensive, unsuitable for high-sulfate soils, or confined to …

Generative Imaging For Computational Pathology, Md Jillur Rahman Saurav

Computer Science and Engineering Dissertations

Hematoxylin and eosin (H&E) staining remains central to cancer diagnosis, providing morphological information essential for pathological assessment. Immunohistochemistry (IHC) and newer multiplexed imaging technologies complement H&E by revealing molecular information critical for accurate tumor subtyping and treatment decisions. In practice, however, H&E and IHC are obtained from different consecutive sections that are not spatially aligned, comprehensive multiplexed panels are expensive and tissue-consumptive, and not all stains are available at every clinical site, limiting comprehensive molecular profiling and the full diagnostic potential of these technologies in clinical practice. This dissertation addresses these gaps through three complementary generative deep learning studies in …

Forecasting Precipitation In Cuba Using Graph Based Deep Learning, Taufiqul Islam

Earth & Environmental Sciences Theses

Daily precipitation forecasting remained a challenging problem in regions characterized by strong spatial heterogeneity, nonlinear atmospheric dynamics, and intermittent rainfall behavior. Cuba represented a particularly complex case due to the combined influence of tropical cyclones, easterly waves, mesoscale convective systems, and orographic effects, which produced highly variable rainfall patterns in both space and time. Conventional statistical and machine-learning models typically treated stations independently and therefore overlooked spatial dependencies that strongly influenced rainfall variability across the island.

This study developed a spatiotemporal deep-learning framework for daily precipitation forecasting across 40 spatial nodes in Cuba using data from 1979 to 2023. The …

An Exploration Of Geomagnetically Induced Currents And The Accessibility Of Geomagnetic Data Collection, Richard Le

Physics Theses

Geomagnetically Induced Currents (GICs) are electrical currents induced in long grounded conductors during geomagnetic disturbances. They represent one of the primary space weather hazards to critical infrastructure, particularly high-voltage power transmission systems and other grounded conductor networks such as pipelines. As modern society becomes more dependent on these systems, understanding and mitigating the impacts of space weather has become increasingly important. This thesis examines the physical mechanisms that generate GICs, from the interaction of the solar wind with Earth’s Magnetosphere to Magnetosphere-Ionosphere-Thermosphere (MIT) coupling and the current systems that drive geomagnetic disturbances (GMDs). Case studies from Zimbabwe and Finland illustrate …

Computational Study Of Rotating Detonation Combustors, Aditya Balasubramaniam

Mechanical and Aerospace Engineering Theses

Rotating detonation combustors (RDCs) are pressure-gain combustion devices that sustain one or more continuously rotating detonation waves, offering potential thermodynamic and performance advantages over conventional deflagration-based systems. Their behavior depends strongly on combustor geometry and operating conditions. Understanding these effects is therefore essential for the design and optimization of practical RDCs. Accordingly, this thesis numerically investigates annular RDCs with two primary objectives: (1) to evaluate the effects of propellant mass flux and (2) to assess the influence of annular width on detonation-wave dynamics and combustor performance.

A finite-volume framework is used to solve the compressible reactive Euler equations with hydrogen–air …

Scalable Quantum Network Routing Through Reinforcement Learning And Resource Optimization, Tasdiqul Islam

Computer Science and Engineering Dissertations

Long-distance quantum communication depends on distributing high-delity entanglement across quantum repeaters. Entangled states are fragile: they decohere in memory, are consumed when used, and lose delity after each swap. Quantum routing therefore diers from classical routing: an algorithm must decide not only the path, but when to generate, store, swap, and consume entanglement before they lose their usefulness. This dissertation studies scalable resource allocation and routing for quantum networks under delity, memory, and concurrency constraints. It rst addresses re- peater deployment with heuristics that nd near-optimal locations while cutting com- putation from days to seconds versus integer linear programming (ILP). …

Early Detection And Objective Assessment Of Neonatal Hypoxic-Ischemic Encephalopathy Severity, Soheila Norasteh

Bioengineering Dissertations

Hypoxic–ischemic encephalopathy (HIE) is a neonatal brain injury caused by reduced oxygen and blood flow to the brain around the time of birth. It remains a major cause of neonatal mortality and long-term neurodevelopmental impairment worldwide. Therapeutic hypothermia is the standard treatment for moderate-to severe HIE and improves outcomes when initiated within the first six hours of life. Therefore, accurate assessment of injury severity during this period is essential. Cur rently, HIE severity is determined primarily through neurological examination and classified as mild, moderate, or severe. However, these examinations are subjective, cannot provide continuous monitoring of brain function, and may …

Reliable And Label-Efficient Learning For Open-World Visual Perception And Robot Learning Under Uncertainty, Zongyao Lyu

Computer Science and Engineering Dissertations

Modern learning systems deployed in open-world environments must make reliable decisions despite predictive uncertainty, previously unseen classes, limited annotations, and distribution shifts. This dissertation develops methods for reliable and label-efficient learning in visual perception and robot control.

First, this work studies uncertainty in object detection by representing semantic and spatial predictions probabilistically. A deep-ensemble framework aggregates detections into class-probability distributions and probabilistic bounding boxes, while a subsequent extension combines deep ensembles with Monte Carlo dropout to further investigate predictive uncertainty. Second, this dissertation addresses open-set recognition, where classes absent during training may appear at inference time. An empirical study shows …

Constraining The Tectono-Climatic Evolution Of The Northern Rocky Mountains: Insights From Volcanic Glass, Leaf Water, And Leaf Wax Hydrogen Isotopes, Rijumon Nandy

Earth & Environmental Sciences Dissertations

The Eocene-Oligocene period in the North American Cordillera represents a period of great intrigue with complex interactions among tectonics, climate, and surface processes. Although this period is generally associated with synorogenic extension associated with gravitational collapse of the Cordillera, the paleotopographic history remains debated. Existing studies offer conflicting interpretations, suggesting either sustained elevations or modest uplift during this time. Notably, recent reconstructions based on volcanic glass δD values have proposed renewed uplift during the early Oligocene, which needs to be tested with a more extensive and robust dataset. Concurrently, global cooling and aridification during this interval may have been amplified …

Array Signal Processing And Machine Learning In 5g/6g Networks, Roopesh Kumar Polaganga

Electrical Engineering Dissertations - Archive

This dissertation investigates advanced methodologies in Array Signal Processing (ASP) and Machine Learning (ML) to enhance the performance, efficiency, and intelligence of next-generation wireless networks, with a primary focus on 5G and emerging 6G systems. As wireless networks face rapid traffic growth, increasingly heterogeneous service requirements, and more complex propagation environments, conventional design and optimization approaches become insufficient to meet evolving demands in reliability, capacity, spectral efficiency, and energy efficiency. On the network intelligence side, this work develops data-driven frameworks for causal discovery, scheduler enhancement, session-duration prediction, and Radio Resource Control (RRC) state optimization using real-world telecommunication network data. On …

Amorphous Selenium Photodetectors For Liquid Noble Detectors, Michael Rooks

Physics Dissertations - Archive

Physics offers a way to connect deeply with the mysteries that surround us. Advances in detector physics, particularly in neutrino experiments and rare-event searches, have expanded our ability to probe phenomena that challenge how we describe the universe. Each discovery brings us closer to understanding the unknown, returning us to a sense of wonder that motivates exploration. My work on detector technology was inspired by a concept paper from Professor David Nygren, in which he noted the speculative possibility of integrating photon detection into a charge readout for pixelated liquid argon time projection chambers (LArTPCs) using the photoconductor amorphous selenium …

A Qualitative Interpretive Meta-Synthesis On The Lived Experiences Of Labor Trafficking Survivors, Paola T. Chavez Reyes

Social Work Theses

Across the globe, an estimated 27.6 million people are in forced labor. Despite this widespread prevalence, labor trafficking (LT) in the United States remains difficult to identify and is often overlooked. This study aims to synthesize LT experiences of survivors and providers accounts at the point of recruitment and during victimization to inform identification efforts. A qualitative interpretive meta-synthesis was conducted using directed content analysis guided by Social Cognition Theory. Peer-reviewed studies documenting LT survivor experiences from 2013-2025 were systematically analyzed to identify the interaction between cognitive processes, environmental influences, and behavioral responses. Across seven studies, the findings reveal that …

Phonetic Attrition As An Outcome Of L1-L2 Phonetic Interaction: Effects Of L2 Exposure In Arabic-English Bilinguals, Dema Smadi

Linguistics & TESOL Dissertations

This dissertation investigates how length of second language (L2) exposure shapes the phonetic relationship between the first language (L1) and the L2 in adult Arabic-English bilinguals. Focusing on the production of voiced stops /b/ and /d/, the study examines how L1 Arabic and L2 English interact within a shared phonetic system and how this interaction develops as a function of increasing L2 exposure. Building on the Speech Learning Model and its revised version (SLM, SLM-r), the study adopts a relational perspective in which L1 and L2 are not treated as independent systems, but as dynamically interacting components of a shared …

Pinky Extension In American Sign Language: Evidence For A Lexically Restricted Morphological Process, Laurel Whitsett

Linguistics & TESOL Dissertations

This study investigates pinky extension (PE) in American Sign Language (ASL). PE involves extending the pinky finger in signs, even though this feature is not present in standard dictionary representations of those signs. Although PE has been previously described as conveying emphasis, this account does not fully explain its distribution. This study asks whether PE reflects a meaningful part of how signs are structured in ASL, rather than a matter of individual style or variation. Focusing on adjectives, it examines whether PE interacts with sentence position. In ASL, certain adjectives may appear either before (prenominally) or after (postnominally) the noun …

Measles Vaccine Hesitancy Improvement Bundle To Improve Vaccination Rates In A Rural Outpatient Clinic, Ramie Malone

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Introduction

Despite the Centers for Disease Control and Prevention's recommendations to vaccinate children against measles, a decline in measles vaccination rates has been observed at a rural family medicine clinic. While numerous factors contribute to the decline in vaccination rates—including parental doubts about the necessity of vaccination, concerns about vaccine side effects, and insufficient education—the latter remains a fundamental underlying cause of suboptimal vaccination coverage.

Objectives

This project focused on surveying, educating, and boosting parents' confidence in measles vaccines for children under five to raise the measles vaccination rate.

Methods

This project used a pre- and post-intervention bundle over an …

Reducing 30-Day Readmission Rates In Patients With Heart Failure, Charles Mccoy

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Abstract

Globally, heart failure affects approximately 54 million individuals and has reached pandemic levels, contributing to elevated 30-day readmission rates (Sa et al., 2024). Background: In the United States, 30-day readmission rates range from 18% to 20%, with similar rates across all states. The current rate was documented as 29% at the study setting hospital. Objective: Implement a Quality Improvement project based on education, evidence-based order sets, and referral to palliative care to reduce 30-day readmission rates among adults with heart failure. Methods: Nursing staff completed education specific to heart failure, and patients received the American Heart Association Self-Check assessment. …

Ask, Advise, And Act: A Smoking Cessation Bundle For Cancer Patients, Crystal Tencate

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Smoking is the number one cause of preventable illness and death in the United States. For patients undergoing cancer treatment, continued tobacco use poses serious risks. In surgical oncology, smoking is associated with poorer treatment outcomes, increased postoperative complications, delayed wound healing, and higher mortality. For patients requiring reconstructive surgery, smoking-related complications can be devastating, sometimes resulting in significant wound complications or loss of the reconstruction. Despite these well-established risks, smoking cessation interventions are not consistently integrated into clinical practice.

To address this gap, a quality improvement project was implemented to strengthen smoking cessation efforts among advanced practice providers (APPs) …

Nursing Bundle To Improve Quality Metrics For Postoperative Patients, Kristine G. Coronado

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Postoperative pulmonary complications and inconsistent implementation of preventive nursing interventions remain significant challenges on acute care surgical units. The purpose of this quality improvement project was to reduce postoperative respiratory failure, hospital readmissions, and length of stay while improving nursing compliance with evidence-based interventions. A nursing care bundle, RISE—Respiratory therapy (structured, nurse-guided incentive spirometry), Incentivize movement (early ambulation), Sit up (head-of-bed elevation ≥30 degrees), and Eliminate germs (twice-daily oral care)—was implemented on an acute care surgical ward in South Texas. Nursing compliance with the preventative measures and patient outcomes were compared between pre- and post-implementation cohorts. Following implementation, nursing compliance …

Improving Asthma Management In Schools: A Comprehensive Approach To Education, Environmental Enhancements And Asthma Action Plans, Yesenia Trevino

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Abstract

Introduction

Asthma contributes to school absenteeism, especially in underserved communities. This project aimed to enhance asthma management at a South Texas elementary school through staff and student education, monthly air filter changes, and personalized Asthma Action Plans (AAPs).

Methods

A quality improvement project at a South Texas elementary school involved 40 asthmatic students over eight weeks, using the Plan-Do-Study-Act (PDSA) framework. It included staff and student education, air filter maintenance, and facilitation of Asthma Action Plans (AAPs). Pre/post surveys, custodial logs, AAP audits, and attendance were analyzed, with paired t-tests used to assess changes (N=32).

Results

There was 71.9% …

Starting Strong: Improving Mmr Vaccination Rates In Kindergartners, Regina Bryan

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Abstract

Introduction

During the 2023–2024 academic year, measles, mumps, and rubella (MMR) vaccination coverage among kindergarten students in this school district did not meet the Healthy People 2030 target, thereby elevating the risk of disease outbreaks. This quality improvement project aimed to improve MMR vaccination initiation and completion through coordinated, school-based interventions.

Methods

Guided by the Plan-Do-Study-Act framework, an eight-week immunization bundle was implemented across 14 elementary schools in South Texas. Interventions included reminder calls, multilingual education, districtwide communication, and a partnership with a nonprofit clinic that provides free or reduced-cost vaccines through on-site and community clinics. Pre- and post-intervention …

Ambient Listening: Using Artificial Intelligence To Transcribe Provider Office Visits, Odia Russette

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: Electronic health record (EHR) documentation burdens contribute to increased “pajama time” or after–hours charting, reduced job satisfaction, and provider burnout. Provider burnout leads to provider and critical access point losses. Ambient–listening artificial intelligence (AI) technologies have emerged as a possible tool to reduce charting burdens; however, evidence from outpatient wellness settings remains limited.

Local Problem: At an urban adult wellness clinic in Texas with limited resources for completing tasks, in-clinic and after-hours “pajama time” charting burdens contributed to provider fatigue, job dissatisfaction, and burnout.

Methods: A quality improvement (QI) project using the Plan-Do-Study-Act (PDSA) framework implemented an AI ambient …

A Quality Improvement Project To Decrease Medication Prior Authorization Approval Times, Amena Guinn Babers

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: Medication prior authorization requirements add to administrative burden, increase labor costs, and delay patient access to treatment in outpatient specialty settings. This bottleneck directly influences nursing workload and economic performance.

Purpose: To evaluate the fiscal and performance significance of implementing an electronic prior authorization (ePA) process, standardized tracking tools, and staff education in a small orthopedic clinic.

Methods: A pre–post quality improvement design was used. Descriptive statistics and inferential analyses (independent‑samples t tests and Mann–Whitney U tests) were conducted to compare time to approval, staff hours worked, satisfaction scores, and medication pickup timeframes.

Results: Significant reductions were observed in …

Inpatient Stroke Quality Improvement, Briyawna N. Wyatt

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Inpatient nursing documentation for stroke care is essential for meeting quality metrics, maintaining continuity, and supporting timely decisions. Gaps can lead to inconsistent care, metric failures, and reduced staff confidence. This quality improvement initiative aimed to improve metric compliance, documentation consistency, and nursing knowledge and satisfaction. A three-part intervention included targeted education, a standardized documentation verification form, and ongoing feedback from stroke champions. Outcomes measured were metric compliance, knowledge (pre/posttests), documentation completeness (Venous Thromboembolism (VTE), education, Modified Rankin Scale), and staff satisfaction. Results showed significant improvement in nursing knowledge (p < .005), reduced metric fallouts, and better documentation across all indicators. Staff satisfaction increased by about 20%. Overall, combining education, standardized tools, and continuous feedback improved documentation practices, enhanced compliance with stroke metrics, and increased nursing knowledge and satisfaction, supporting better care processes and patient outcomes.

Empowering Patient Engagement In Effort To Reduce Readmissions, Derinda Hugaboon, Msn, Rn

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: Hospital readmissions among Medicare beneficiaries remain a major quality concern and are often associated with social determinants of health (SDOH) and care transition gaps. Targeted discharge interventions that address self‑management needs and follow‑up barriers may reduce avoidable readmissions. Objective: To reduce readmissions by implementing a bundled intervention addressing social determinants of health (SDOH), care‑transition gaps, and inadequate post‑discharge primary care follow‑up. Methods: Medicare Advantage (MA) members aged ≥45 were included. A total of 249 members accounted for 275 overall admissions during the project period; 191 admissions (69.5%) received at least one intervention component (informational discharge packet, face‑to‑face encounter, and/or …

Neighborhood Embeddings And Scalable Learning For Optimal Transport And Unbalanced Optimal Transport, Muhammad S. Rana

Mathematics Dissertations - Archive

Dimensionality reduction techniques are developed from the assumption that high-dimensional data often arises from low-dimensional structures embedded into the high-dimensional ambient space. Classical dimensionality reduction methods rely on the Euclidean distance, which may fail to capture the geometric structures of the datasets. This dissertation includes alternative metrics for dimensionality reduction techniques and challenges in applying these techniques.

First, we investigate the Wasserstein distance based neighbor embeddings for dimensionality reduction methods and compare the classification and clustering performance with the classical Euclidean based methods. The Wasserstein distance models the data as probability distributions and compares two distributions applying optimal transport (OT) …

Decreasing Work-Related Stress And Burnout In Advanced Practice Clinicians, Laura Vasquez

Doctor of Nursing Practice (DNP) Scholarly Projects

Background

Advanced practice clinicians (APCs) face ongoing job-related stress and career burnout. Work-related stress and burnout affect healthcare quality, safety, and patient satisfaction, yet evidence specific to job-related stress and career burnout from outpatient medical facilities in the South Texas region remains limited.

Purpose

A quality improvement (QI) project was implemented to decrease work-related stress and burnout among APCs working in an outpatient medical facility in the South Texas region.

Methods

Project participants included family nurse practitioners (FNPs) (n=7) and physician assistants (PAs) (n=4). Data was collected between January 2026 and March 2026. An intervention was implemented which included engagement …

Pride And Portrayal: The Effects Of Gender Identity And Generational Cohort On Lgbtq+ Perceptions Of Media Coverage, Dang H. Le

Communication Theses - Archive

Public debates over LGBTQ+ issues have intensified in the United States in recent years, placing news media at the center of conflicts over representation, fairness, and credibility. While a substantial body of research has analyzed how LGBTQ+ people are portrayed in news coverage, far less attention has been paid to how LGBTQ+ audiences themselves evaluate that coverage. Understanding these perceptions is increasingly important as declining trust in journalism intersects with political polarization and ongoing policy debates surrounding LGBTQ+ rights. This study examines how generational cohorts and gender identity shape LGBTQ+ audiences’ perceptions of news coverage quality, perceived media hostility, and …