Digital Commons Network^™

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 …

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 …

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 …

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, …

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 …

Assessing The Language And Reading Abilities Of Students With Mosaic Down Syndrome, Emma G. Conradi

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Language and reading are important skills for academic and social success, yet individuals with Down syndrome often face significant challenges developing these skills (Abbeduto et al., 2007; Martin et al., 2009). However, almost all the available research on the language and reading abilities of individuals with Down syndrome comes from research focused on individuals with Full Trisomy 21. To date, there has been virtually no research specifically examining the language and reading skills of individuals with mosaic Down syndrome (Buckley & Bird, 2002), a rare karyotype of Down syndrome. Therefore, the purpose of this study is to describe the language …

Soil Characterization With Proximal Geophysics, Sophia M. Becker

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

High quality soil data is crucial for addressing numerous threats to human well-being such as water scarcity, food insecurity, and intensified natural disasters. True soil property values are determined by analyzing soil samples in a laboratory, but soil sampling is often expensive and time-consuming. Some in-field point sensors and remote sensing products are available to measure soil properties, but they have inherent limitations in measurement extent and resolution. Geophysical methods can fill the measurement scale gap between point measurements and remote sensing products, but various research questions remain open. This dissertation aims to advance understanding of geophysics-derived soil property measurements …

From Vision To Practice: Implementing An Instructional Model Through Teacher Experience And Leadership Support, Stefanie Novotny

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Implementing change in any organization is challenging. It requires careful planning, effective communication, and strong leadership. Principals provide support and empower stakeholders to take ownership of the change process. They create opportunities for others to contribute ideas, take on leadership roles, and drive innovation, fostering a culture of shared responsibility and collective action. Change leaders inspire creativity and encourage teachers to think outside the box, leading to the development of new ideas and processes that drive growth and success. This mixed-methods action research study investigated how teachers can enhance educational practices by implementing an instructional model to improve teaching strategies …

Synthesis And Study Of Stable Organic Radicals For Mri Contrast Agents And New Materials, Sabina Dhakal

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The first part of this dissertation focuses on the design, synthesis, and characterization of a thermally robust S =1/2 phototetrazolinyl monoradical and the development of synthetic methodologies for a high-spin (S = 1) phototetrazolinyl diradical. Electrochemical studies of the phototetrazolium cation (precursor to the monoradical) revealed a remarkably narrow electrochemical band gap (Ecell ≈ 0.82 V), suggesting promising electrical conductivity. Thermal analysis of the monoradical demonstrated excellent stability, with the onset of decomposition at 232 °C. Building on the excellent thermal stability and promising properties for electrical conductivity of the monoradical, we developed two condensation-based synthetic routes that provide viable …

Rainfall-Runoff Modelling In An Indonesian Humid Tropical Area Using Satellite-Based Precipitation Products, Noordiah Helda

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation explores three rainfall-runoff models in the humid tropical regions of Indonesia using satellite-based precipitation products (SBPPs) and develops integrated machine-learning modeling frameworks. Several ground-based observations from BMKG (Badan Meteorologi, Klimatologi, dan Geofisika (also known as the Indonesian Agency for Meteorology, Climatology, and Geophysics)) stations across Indonesia (133−165 stations) are compared and evaluated against satellite products, indicating that GPM performs well, with R-squared values ranging from 0.54 to 0.76 and correlation coefficients ranging from 0.45 to 0.69, respectively.

In the Martapura Watershed, South Kalimantan, due to a lack of observational discharge data, streamflow was generated using the FJ Mock …

Public Perceptions Of Leadership Effectiveness In Ethiopia Over The Last Decade, Fikadu Reta Alemayehu

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Ethiopia is one of the largest countries in Africa, with a fast-growing economy, rich history, diverse agroecology, more than 70 languages, and a population exceeding 130 million. However, the country continues to face serious internal conflict, high malnutrition, and economic hardship, while the study of leadership effectiveness remains limited and lacks consistent longitudinal research. To help fill this gap, this study examined how public perceptions of leadership effectiveness and development outcomes changed in Ethiopia between 2013 and 2023, using Afrobarometer survey data. The analysis explored how citizens’ views about governance, wellbeing, and access to services evolved during a decade of …

Assessing Crop Rotation Productivity, Soil Health, And Fertility, And Economic Performance, To Enhance Semi-Arid High Plains Cropping Systems Sustainability, Ezequiel Maria Villamil

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Sustainable crop production in the semi-arid High Plains of Nebraska faces challenges from limited precipitation, high interannual variability, and economic risk. This dissertation investigates the long-term productivity, water use, soil health, and economic sustainability of dryland crop rotations, with emphasis on the role of pulses as alternatives to fallow.

Chapter 1 analyzes nearly three decades (1995–2023) of on-farm data from the High Plains Agricultural Laboratory (Sidney, Nebraska) to compare seven crop rotations, including wheat, corn, millet, sunflower, and field peas. Results showed that wheat–corn–fallow (W–C–F) consistently outperformed traditional wheat–fallow (W–F) and more intensified four-year rotations, providing the highest grain yields, …

Resources For The Beginning And Intermediate Jazz Educator: Reviews Of Modern Resources And Implementation In The Classroom, Bryan Canonigo

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This document is a compilation and discussion of different modern jazz education resources geared towards beginning and intermediate students. It is intended for the younger high school jazz educator who may have just started their careers and are searching for new(er) resources to aid their teaching and rehearsal techniques. For the seasoned high school jazz educator, this document may suggest additions to their current lesson plans and/or updates to their current resource compilations and rehearsal practices. A primary goal of this document is to suggest ideas to aid these educators in teaching jazz music more wholistically, in small or large …

Development Of Databases For Glycan Utilization And Anti-Prokaryotic Defense In Microbiomes, Yuchen Yan

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Microbiomes in humans, animals, plants, and other environments are necessary components of the biosphere for global nutrient cycling and maintaining ecosystem balance. In particular, the gut microbiome plays an essential role in modulating human health through glycan utilization. Carbohydrate-active enzymes (CAZymes), CAZyme gene clusters (CGCs), and polysaccharide utilization loci (PULs) are key genomic features that determine microbial capacities for carbohydrate metabolism. Meanwhile, the arms race between phages and prokaryotes has led to the evolution of various anti-prokaryotic immune systems (APIS) in phages to counteract prokaryotic immune systems (PIS).

As bioinformatics methods used to analyze microbiome information advance rapidly, there is …

Advancing Precision Agriculture Through The Application Of Remote Sensing Technologies In Plant Health Assessment, Thomas Wilbur Davis

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Monitoring plant health, including nutritional status assessment, is an important component of crop management decisions. This doctoral document addresses the use of agricultural remote sensing through focused investigations of plant disease detection and nutrient status assessment technologies that advance precision agriculture. The first chapter provides a comprehensive overview of remote sensing technologies in agriculture and examines current capabilities, limitations, and future directions. The final two chapters address studies that evaluated the virus-nitrogen interaction in wheat and compared methods to determine the nitrogen status of midseason field corn.

The first study evaluated the wheat streak mosaic virus (WSMV) × nitrogen interaction …

Detecting Prescribed Fire, Haying And Grazing Events Via Remote Sensing To Create Grassland Disturbance Landcovers For The Ring-Necked Pheasant (Phasianus Colchicus), Megan A. Baldissara

School of Natural Resources: Dissertations, Theses, and Student Research

This dissertation developed disturbance detection models to fulfill the need for remote sensing landcover products describing grassland structure. The use of landcover products derived from remote sensing is increasing over time in pheasant (Phasianus colchicus) research. Such landcover, however, does not provide relevant pheasant structural habitat information (Chapter 1). Pheasants require tall, high-density grassland for nesting, tall grassland with medium density for brood rearing, and tall grassland for wintering. Time since disturbance can serve as a proxy for structure, as it shapes vegetation by removing biomass and resetting succession. Disturbance is easier to detect than structure with current …

On Bayesian Empirical Likelihood-Based Method For Complex Survey Data With Application To Non-Probability Sampling, Md Hasibur Rahman

Department of Statistics: Dissertations, Theses, and Student Research

This thesis develops a Bayesian empirical likelihood (BEL) framework for inference under complex survey designs and extends it to non-probability sampling. Parametric likelihood based methods are difficult to apply to complex survey data because the likelihood is rarely available in closed form. EL provides a flexible alternative by replacing the parametric likelihood with an empirical likelihood constructed from moment conditions. The proposed method first integrates empirical likelihood constraints with survey design features then extends BEL to non-probability sampling through selection models and design consistent restrictions. Posterior inference is carried out using a Metropolis–Hastings MCMC algorithm. A real-data analysis further illustrates …

Brands & Virtual Personas: How Virtual Influencer Types Impact Brand Awareness, Carol Calderon Ambelis

Department of Textiles, Merchandising and Fashion Design: Dissertations, Theses, and Student Research

As social media continues to shape how consumers interact with brands, virtual influencers (VIs) have emerged as a new type of digital celebrity. While previous research has explored how VIs contribute to brand image and awareness, there has been limited attention on how different types of VIs, both anime-like and human-like, affect consumer perceptions across different markets. This study examines how these two types of VIs impact relatability, aspiration, and brand awareness, with a focus on the differences between luxury and mass market. Using a within-subjects experimental design, this study recruited 574 participants with social media experience using MTurk. The …

The Role Of Peroxisomal Acot4 And Acot8 In Modulating Lipid Metabolism And Stress Pathways In Steatotic Hepatocytes, Sylwia Miekus

Department of Nutrition and Health Sciences: Dissertations, Theses, and Student Research

Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by excessive lipid accumulation in hepatocytes and the development of lipotoxic stress that disrupts cellular homeostasis. Peroxisomal lipid metabolism plays an important role in maintaining acyl-CoA balance during fatty acid overload, yet the contribution of peroxisomal acyl-CoA thioesterases to early lipotoxic responses remains insufficiently understood. The aim of this study was to investigate the functional involvement of the peroxisomal enzymes acyl-CoA thioesterase 4 (ACOT4) and acyl-CoA thioesterase 8 (ACOT8) in hepatocyte lipid handling under acute lipotoxic conditions. An in vitro model of steatosis was established in AML12 cells through exposure to a …

Prevalence Of Cytauxzoon Felis In Ticks From South-Central Kansas And Northwest Arkansas, Nicole E. Mcilvain

Animal Science Undergraduate Honors Theses

Cytauxzoon felis is a protozoan that causes an often-fatal illness in felines known as cytauxzoonosis, or bobcat fever. Ticks are vectors of this pathogen, with Amblyomma americanum being the most common vector. Previous studies have noted a correlation between peak tick season and peak cytauxzoonosis diagnosis. For cytauxzoonosis, minimal treatments exist, and scientists have not found a cure, which is why focus needs to be on preventing disease. Knowledge on the prevalence of C. felis in different tick species helps veterinarians and pet owners be aware of the potential for their cat developing cytauxzoonosis if one or more ticks are …

Prevention Of Burnout Among Critical Care Nurses, Jenelle Balaoing, Junela Bautista

Nursing | Student Research Posters

Background: Nursing burnout is a state of mental and physical exhaustion caused by excessive stress among nurses. Critical care nurses face challenges with direct patient care that contribute to emotional and psychological strain that are greatly influenced by workplace adversity and emotional management. Purpose: This research examines the prevalence of burnout among pediatric and adult intensive care unit (ICU) nurses, highlighting particularly high rates of burnout among those with extended years of service. Method: ICU nurses will participate in a qualitative interview that involves open ended questions relevant among burnout and resilience during shifts. Aspects specifically years of critical experience …

Air Force Institute Of Technology Research Report 2023, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and the Graduate School of Logistics and Acquisition Management. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting either school.

Princesses & Unicorns, Children's Health

Book Recommendations

Book recommendation list from the digital library collection focused on the topic of princesses and unicorns.

Efficient Algorithms For Mitigating Uncertainty And Risk In Reinforcement Learning, Xihong Su

Doctoral Dissertations

Reinforcement learning~(RL) studies the methodologies of improving the performance of sequential decision-making for autonomous agents and has achieved remarkable success in domains such as games, robotics, autonomous systems, finance, and healthcare. The Markov Decision Process~(MDP) is a mathematical framework for modeling agent-environment interactions in sequential decision-making problems. There are two primary sources of uncertainty in RL: epistemic uncertainty and aleatoric uncertainty. In RL, risk refers to the potential for an agent's policy to lead to undesirable outcomes, especially when the environment is uncertain. In many domains, researchers seek policies that maximize the objectives while mitigating the uncertainty and risk in …

Evaluating The Role Of Seaweeds In Dairy Production: Impacts On In Vitro Ruminal Fermentation, And In Vivo Mineral Utilization And Metabolic Status, William Mitchell Sims

Doctoral Dissertations

Dietary inclusion of seaweed in ruminant diets has been studied for more than 5 decades. Early research in seaweed focused primarily on potential health benefits, but recent interest has shifted the paradigm for its use as a nutritional tool to mitigate greenhouse gas emissions. As new seaweeds are identified for their ability to reduce gas emissions, the pendulum will swing once more to understand the impact seaweeds have on ruminant health and production. The overall objective of this dissertation is to investigate digestibility and fermentation, as well as alterations in metabolic and mineral status in ruminants fed various seaweed species. …