Digital Commons Network^™

Analyzing The Institutional Factors Associated With Sense Of Belonging Among Stem Adjuncts At Community Colleges, Karuna Taneja

Educational Leadership & Workforce Development Theses & Dissertations

In this study I examined the relationships among organizational support, workplace conditions, and sense of belonging among adjunct faculty teaching STEM courses in community colleges. Grounded in the need-to-belong theory (Baumeister & Leary, 1995) and Herzberg’s two-factor theory (1968), I distinguished between relational and structural dimensions of faculty experiences. Perceived organizational support was conceptualized as a relational construct reflecting faculty members’ perceptions of being valued and included within their institutions, whereas workplace conditions were examined as structural factors influencing job satisfaction.

Using a quantitative, cross-sectional correlational survey design, data were collected from adjunct STEM faculty (N = 64) teaching at …

Lgbtq People's Lives Post-Incarceration: A Multi-Method Study, Hayley Jackey

Sociology & Criminal Justice Theses & Dissertations

LGBTQ people are disproportionately targeted by the criminal legal system and overrepresented in the carceral system. Despite current research in queer criminology examining the impacts of the carceral system on the community, there is a dearth of literature examining LGBTQ people’s experiences or identity disclosure once released from the Prison Industrial Complex and into the Prisoner Reentry Industry. Using unique methodologies of photo-elicitation interviews and in-depth interviews, the current study examines how ten formerly incarcerated LGBTQ people navigate returning to society post-incarceration. The study found two distinct experiences. The first group was selective about who they shared their LGBTQ identity …

Enhancing Stem Education With Modeling, Simulation, And Ai Technologies: From Virtual Laboratories To Intelligent Teaching Assistants, Yiyang Li

Electrical & Computer Engineering Theses & Dissertations

Rapid advancements in modeling and simulation (M&S) and artificial intelligence (AI) present new opportunities to enhance various aspects of STEM education, from virtual laboratories that simulate physical lab environments in software to intelligent teaching assistants that provide on-demand, curriculum-aligned instructional support. Virtual laboratories offer a potential solution to the access and scalability challenges of laboratory courses by allowing students to conduct experiments without physical equipment or geographical constraints. AI-powered teaching assistants, particularly those grounded in course-specific materials, can help mitigate the instructional support gap that arises when students work independently in digital learning environments. This dissertation presents three-phase research into …

Switches And Witches: Exploring The Relationships Between Religious Struggles, Spiritual Beliefs, And Well-Being, Emma J. Trierweiler

Psychology Theses & Dissertations

This study examined the mechanisms between interpersonal and doubt-related struggles and well-being outcomes in a formerly religious sample. The focus of this dissertation was to analyze the mediating roles of disengagement from God and perceived social support. Approach toward God was also examined as a control but not specified to be connected to the well-being outcomes given the emphasis on formerly religious individuals’ experiences. This was a retrospective study, where participants were asked to consider their responses as they relate to the time they were pulling away from religion. Three measures of well-being were explored using structural equation modeling. Positive …

A Causal Inference Protocol For Root-Cause Diagnosis In Non-Stationary Industrial Time Series, Cansu Yalim

Engineering Management & Systems Engineering Theses & Dissertations

Industrial fault diagnosis increasingly relies on data-driven methods, yet most approaches assume process stationarity and treat association-based rankings as sufficient evidence for root-cause identification. Neither assumption holds when operating phases and fault progression create distinct behavioral regimes with shifting relationships among variables, and neither answers which feasible corrective action would alter a fault trajectory. The absence of a procedure addressing non-stationarity, causal identifiability, and decision-relevant effect estimation constitutes the gap this dissertation targets. In this context, a regime is a time period in which the process operates under a relatively consistent setting, so the relationships among variables are approximately stable …

Drones In Wildfire Airspace Management: Developing A Scalable Framework For Mid-Sized Cities, Victoria Denise Tanner Williamson

Engineering Management & Systems Engineering Theses & Dissertations

Wildfires are becoming increasingly frequent and severe, creating growing risks for mid-sized communities with limited emergency response resources. The January 2025 Los Angeles wildfires—which burned more than 57,000 acres and destroyed over 18,000 structures—underscore the urgent need to strengthen wildfire response strategies through the integration of unmanned aerial systems (UAS) (Hardy, 2025).

This study develops a scalable framework for drone-assisted wildfire response in resource-constrained environments. Using the city of Waynesboro, Virginia, as a case study, the research examines how mid-sized jurisdictions can integrate unmanned aerial vehicles (UAVs) to improve preparedness, response, and recovery. A three-round, mixed-methods Delphi study engages emergency …

Physics-Guided Deep Learning For Predictive Modeling Of Spatiotemporal Dynamical Systems, Niharika Deshpande

Engineering Management & Systems Engineering Theses & Dissertations

Many physical and networked systems evolve under continuously changing spatial and temporal conditions. Transportation networks respond to fluctuating demand, atmospheric fields reorganize as storms intensify, and coastal response depends on localized forcing pathways. Modeling such systems requires learning formulations that adapt to evolving structure, operate on irregular geometries, and provide interpretable measures of predictive uncertainty. This dissertation develops a physics-guided spatiotemporal learning framework designed for structured dynamical systems whose governing interactions are neither static nor Euclidean. The central premise is that spatial relationships in these systems are dynamic and geometry-dependent. To represent this behavior, system states are modeled on time-varying …

Machine Learning Pipeline For Tcga-Luad Clinical Outcome Prediction, Cassandra Tellez, Maryam Khazaei Pool

Faculty Research, Scholarly, and Creative Activity

Background and Context: The Cancer Genome Atlas (TCGA) is a large public collection of medical data from thousands of cancer patients, managed by the NCI and NHGRI [1]. This project focuses on the TCGA-LUAD (Lung Adenocarcinoma) dataset, which contains clinical and molecular data from patients with lung adenocarcinoma [2]. We use Machine Learning (ML) to see if a patient's basic medical info can predict how well their lung cancer treatment will work.

Retention During Turbulent Times Of Higher Education: Modeling Intent To Leave Academia For Research University Faculty, Jordan Monroe Ball

Psychology Theses & Dissertations

University faculty operate as the lifeblood of any institution given that their job requires a “double duty” to develop both scholarly research and student minds. Due in large part to these expectations, research shows a long history of poor mental health for faculty, which ultimately results in faculty turnover. One model of faculty work motivation (Padilla et al., 2023) details the way in which the faculty work environment influences their mental health, and subsequently informs their job satisfaction, organizational commitment, and intent to leave academia, which serves as a proxy for turnover. Retention related issues have not been a pressing …

Quantitative Surface-Enhanced Raman Spectroscopy For Antiretroviral Drug Monitoring: Novel Quality Index And Distributional Approaches In Aqueous And Plasma Matrices, Marguerite Rose Butler

Chemistry & Biochemistry Theses & Dissertations

Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity for molecular detection but is limited for quantitative applications by spatial heterogeneity in signal enhancement on dried colloidal substrates. This Dissertation addresses these limitations through the development and evaluation of novel quantitative methods applied to the antiretroviral drugs tenofovir and emtricitabine.

A quality index (Qi) metric was developed to rank individual SERS spectra within each well based on analyte peak prominence relative to local baseline. SERS spectra were acquired from evaporated silver colloid deposits on aluminum well plates using a custom raster-scanning Raman system. Calibration curves were constructed using the top-ranked spectra (Top-Qi …

Motivation And Constraints In Recreation Participation Among Children And Adults With Disabilities, Monica Klock

Human Movement Studies & Special Education Theses & Dissertations

This dissertation investigated how motivation and constraints relate to participation in outdoor and community recreation among children with disabilities and adults who are blind or visually impaired. Although outdoor recreation is associated with important physical, psychological, and social benefits, people with disabilities continue to participate at lower rates than their peers without disabilities, and prior work shows that barriers extend well beyond physical access to include structural, interpersonal, and intrapersonal constraints. Drawing on the Constraint–Negotiation Model (CNM) and social cognitive theory, this dissertation addressed gaps in multivariate research and life-course perspectives by examining whether and how motivations, perceived constraints, and …

Variability In Nutrient And Enterococcus Concentrations In Tidal Floodwater Across Watersheds With Different Land Uses, Alyssa Bucci

OES Theses and Dissertations

Tidal flooding is an increasingly pressing hazard in coastal Virginia due to sea level rise and land subsidence. The Hampton Roads region of Virginia has the second-highest rate of relative sea level rise in the United States and experiences frequent tidal flooding, but the water quality impacts of this flooding on the Chesapeake Bay are not being accounted for. High concentrations of dissolved nutrients and Enterococcus bacteria (a fecal indicator) have been observed in tidal floodwater of the Lafayette River, a tributary of the James River and the lower Chesapeake Bay. This study investigates variability in dissolved nutrient and Enterococcus …

Exploring Literacy Preparedness And Academic Experiences Of First-Year Community College Students, Alexandra Ranieri

Educational Leadership & Workforce Development Theses & Dissertations

Community colleges enroll students with diverse levels of academic preparation, yet placement into college-level coursework often relies heavily on high school grade point average (GPA), which may not fully reflect students' literacy preparedness. Although research has linked literacy proficiency to academic success, little is known about how first-year community college students experience literacy preparedness during the transition to college. The purpose of this qualitative case study was to examine the literacy preparedness of first-year community college students and explore how their reading abilities aligned with their early academic experiences. Guided by the Reading Systems Framework (Perfetti & Stafura, 2014), the …

Residual Stress Informed Reconstruction And Failure Analysis Of Manufacturing Induced Composite Meso-Structure, Mohammad Nazmus Saquib

Mechanical & Aerospace Engineering Theses & Dissertations

A physics informed, AI-augmented framework is developed to enable digital twins of molded composite materials by linking manufacturing induced residual stresses to a local meso-structure. By reconstructing and explicitly modeling these architectures, the framework reveals how processing driven meso-structural variability governs stiffness, damage evolution, and failure. The work focuses on two technologically important systems: prepreg platelet molded composites (PPMC), characterized by inherently stochastic platelet architectures, and 2/2 twill glass fiber/PA6 organosheets, whose periodic but locally variable weave geometry influences mechanical response. For PPMC, the Residual Stress Informed Microstructure Reconstruction (ResIMiR) framework is introduced, combining thermoelastic strain fields with deep learning …

Computational And Ai Tools For Understanding Telomere-Associated Cancer Mechanisms, Eleni Adam

Computer Science Theses & Dissertations

Telomeres are the protective caps of the human chromosomes and are critical for genome stability. Dysfunctional telomeres caused by their erosion with age and cell proliferation as well as by defects in their maintenance is a major early event leading to genome changes and cancer. Subtelomeres possess the critical role of regulating adjacent telomeres. Due to their complex repeat structure and high variance from one person to another, these areas have not been analyzed in detail. We present a set of computational and machine learning tools to aid in the understanding of subtelomere structure and its rearrangements in cancer.

Initially, …

Public Participation In Community Redevelopment Agencies: A Mixed Methods Approach To Understanding The Impacts Of Collaboration In Public-Private Partnerships, Shannon Mcbride-Lewis

School of Public Service Theses & Dissertations

Local governments create community redevelopment agencies (CRAs) to enhance economic and redevelopment opportunities within their communities through public-private partnerships funded with tax increment financing (TIF). The use of increment revenue, the complexity of public-private partnerships, and the controversies surrounding CRAs can lead to community concerns and opposition. Collaboratively engaging the public in the development, implementation, and performance of CRA public-private partnerships is one way to improve program and project outcomes by enhancing engagement, equity, and accountability. This study asks does the level of resources (dedicated professional staff, consequential incentives, and TIF contribution) and formal public-private partnership programs of CRAs influence …

Effect Of Rheology Modification On Fiber Orientation And Dispersion In 3d-Printed Ultra-High-Performance Concrete, Haodao Li, Alfred Addai-Nimoh, Seongho Han, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The extrusion process in 3D concrete printing (3DCP) facilitates horizontal alignment of steel fibers along the printing direction, thus enhancing the load-bearing capacity of printed elements. However, such shear-induced fiber alignment is highly sensitive to rheological properties. This study investigates how variations in dynamic yield stress (τd) and plastic viscosity (μ), influence the extrudability, fiber orientation and dispersion, and anisotropic mechanical behavior of ultra-high-performance concrete (UHPC). Five viscosity-modifying agent (VMA) types were incorporated at two content levels to modify the rheology of printable UHPC. Results showed that moderate VMA additions improved printability, whereas excessive contents markedly increased τd and μ; …

Reframing Soil Freezing As An Unsaturated Process, Antai Dong, Xiong Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Soil freezing and frost heave are inherently unsaturated soil phenomena. However, most existing numerical models are based on saturated soil mechanics or assume full saturation. This simplification introduces conceptual inconsistencies, requires modifications that violate fundamentals in soil mechanics and fluid mechanics, and often leads to the use of self-conflicting soil properties. To overcome these limitations, this study develops a physically consistent, fully coupled thermohydraulic model for soil freezing grounded in modern unsaturated soil mechanics. A soil freezing characteristic surface (SFCS) is introduced to represent unfrozen water content in partially frozen soils as a function of both suction and temperature. Recognizing …

Carroll County Extension Update August 2026, Mikayla Cerney

UNH Cooperative Extension

No abstract provided.

Mechanism Of Hypothiocyanous Acid Reductase, Morgan L. Fowler

Masters Theses

Hypothiocyanous acid reductase (Har) is a flavin-dependent enzyme that is effective in protecting bacteria from hypothiocyanous acid. HOSCN is an antimicrobial oxidant that is excreted by the mammalian innate immune system during inflammation, targeting and attacking thiols in pathogens. To combat HOSCN, bacteria have developed defense systems, including hypothiocyanous acid reductase. The catalytic mechanism by which Har interacts with its substrates, HOSCN and NADH, is undetermined and requires exploration.

In this study, we characterized the reductive and oxidative half-reactions of E. coli Har (EcHar). We first investigated and characterized wild-type EcHar, showing that Har is extremely efficient in reacting with …

Investigating The Role Of Patient-Provider Interaction Quality And Illness Interference In Patients' Basic Psychological Need Fulfillment And Subjective Well-Being, Rebecca Erin Elwood

All Graduate Theses and Dissertations, Fall 2023 to Present

Patient-provider communication occurs between patients and medical professionals. This type of communication is experienced by most U.S. adults yearly, and it can lead to positive health outcomes. The purpose of this study was to examine the role of this type of communication in patient’s lives overall. Specifically, the study considered if good quality patient-provider communication is associated with people feeling an overall sense of autonomy, competence, relatedness, and an overall positive experience of their life. It also considered how much symptoms or treatment of health issues impact people’s lives. Data in the study was collected through an online survey with …

Viability Assessment Of Bovine Embryos: A Public Dataset And Deep Learning Baselines, Erfan Khayyati

All Graduate Theses and Dissertations, Fall 2023 to Present

Improving the success rates of cattle breeding is essential for sustainable agriculture, global food security, and high-quality livestock production. Currently, determining whether a lab-grown bovine embryo is healthy enough for a successful pregnancy requires highly trained experts to manually evaluate days of continuous time-lapse video footage. This process is not only incredibly time-consuming but also highly subjective; human reviewers often suffer from visual fatigue when tracking subtle, microscopic cellular changes over a seven-day period, leading to significant disagreement among even top experts on an embryo’s true potential. Furthermore, assessing bovine embryos is notoriously difficult due to their dark, lipid-dense cellular …

Thermal Rating And Prediction Of Roadway-Embedded Power Electronics For Dynamic Wireless Power Transfer, Forrest D. Nichols

All Graduate Theses and Dissertations, Fall 2023 to Present

Electric vehicles can be charged while driving through wireless charging coils buried in the road surface. To avoid running expensive cables from roadside equipment to each charging pad, the electronics that control the power transfer can also be buried in the road. However, burying these circuit boards removes the ability to cool them with fans or flowing air, so the heat generated during operation must escape naturally into the surrounding road material. If the boards get too hot, components fail—a problem that has already been observed in prototype systems.

Predicting how hot each component on a circuit board will get …

Spatial Prediction Under Uncertainty: Methodological And Computational Advances In Bayesian Maximum Entropy, Kinspride K. Duah

All Graduate Theses and Dissertations, Fall 2023 to Present

Environmental decisions such as infrastructure design, water management, and snow load estimation depend on spatial data that are often incomplete or uncertain. In many cases, measurements are not exact values but ranges, reflecting limitations in data collection methods. Traditional mapping techniques typically simplify these uncertain measurements, which can lead to less accurate predictions. This dissertation introduces improved statistical tools for making spatial predictions when data are uncertain or partially known. By utilizing a framework called Bayesian Maximum Entropy (BME), this research demonstrates how exact measurements and range-based data can be combined in a mathematically consistent way. The work demonstrates that …

Sensitivity Analysis Of A Low-Power Wireless Capacitive Charging System To Inform Thermal Limitations And Battery Size Reduction Potential For Electric Passenger Vehicles, Karmen Teuscher

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of using electric vehicles instead of internal combustion engine vehicles that burn gas is to reduce pollutants in the air and potential environmental impacts such as climate change. EVs produce much less air pollutants than ICEVs but manufacturing the EV batteries and the repeated recharging still contributes to the overall air pollution.

Capacitive power transfer systems can wirelessly charge vehicles through the road as they drive along highways or stop at traffic lights. If vehicles charge as they drive, an opportunity opens to reduce the size of the battery while maintaining the same driving range. Reducing the size …

Advancing Management Strategies For Two Promising Mason Bee Species (Osmia Ribifloris And Osmia Bruneri) For Berry Pollination, Miranda L. Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Bee management can broadly refer to human manipulation of one or multiple parts of a bee’s lifecycle. Managing honey bees, commonly referred to as beekeeping, is responsible for providing most pollination for global food crops. However, using more than one bee species for crop pollination can have many benefits. Benefits include better crop pollination and insurance in case one bee species underperforms or its population collapses. Some bees within the genus Osmia are already widely managed for crop pollination because their developmental lifecycle allows bee managers to readily deploy pollinating bees in sync with varying crop blooms, and for certain …

Method Validation Of The Cdc Bottle Bioassay And A Historical Record Of Polycyclic Aromatic Hydrocarbons In Glacier National Park, Evah F. Peard

All Graduate Theses and Dissertations, Fall 2023 to Present

Certain contaminants can persist in the environment for long periods of time, build up within living tissues, travel far from their origin, and harm both ecosystems and organisms. This thesis focuses on two types of contaminants: insecticides and polycyclic aromatic hydrocarbons (PAHs). Insecticides are manufactured to control pests while PAHs are found in oil and gas products and can be produced by industry, vehicle engines, and wildfires. Understanding how harmful these contaminants are and where they end up in the environment is critical for protecting environmental health.

First, I evaluated a widely used test developed by the Centers for Disease …

Improving Teacher Adherence To Greeting And Attendance Routines Through Performance And Graphed Feedback, Caitlin Huppi

All Graduate Theses and Dissertations, Fall 2023 to Present

Schools establish expectations for teachers to create safe, organized, and welcoming environments, but teachers may not consistently follow these expectations throughout the school year. This study examined whether brief feedback could help four high school teachers more consistently greet students and scan IDs for attendance during passing periods. Teachers received graphs showing their performance and brief weekly feedback. All four teachers increased greeting behavior, and three increased attendance scanning. Teachers also rated the intervention as acceptable, feasible, and helpful. These findings suggest that brief feedback may be a practical way for school leaders to support consistent teacher implementation of school-wide …

Bridging The Gap: Exploring The Development Of Science Self-Efficacy Among Students With Learning Disabilities, Aria Hadley-Hulet

All Graduate Theses and Dissertations, Fall 2023 to Present

Students with learning disabilities are often overlooked in efforts to broaden participation in STEM. This multi-paper dissertation investigates science self-efficacy among this population through the lenses of the social model of disability and self-efficacy theory. An integrative review reveals consistently lower academic self-efficacy among students with learning disabilities and a lack of research examining their science self-efficacy specifically. Quantitative analysis of national data shows lower science self-efficacy overall, yet no differences among students enrolled in advanced science courses. A mixed-methods study further demonstrates that in inclusive school environments characterized by asset-based teacher beliefs and normalized accommodations, science self-efficacy differences disappear. …

The Influence Of Mental Illness Stigma On Support For Capital Punishment, Laura Strong

All Graduate Theses and Dissertations, Fall 2023 to Present

Support for capital punishment, though consistently favored by the majority of the US population, has remained highly controversial due to biases in its application. This issue is particularly pressing for Black Americans and people with mental illnesses, as both populations are over-represented on death row. While support for capital punishment is primarily driven by socio-demographic characteristics such as political affiliation and race, existing literature indicates that White Americans who exhibit heightened racial stigma towards Black Americans are more likely to support capital punishment. The mechanisms that link racial stigma to support for capital punishment may exist for mental illness stigma …