Digital Commons Network^™

Out There: Notes And Stories A Hybrid Collection With Critical Introduction, Ben Porter

Doctoral Dissertations

This dissertation is composed of two parts: literary criticism and a collection of fiction and lyric essays. Across both sections, it examines the problem of description: how persons make experience, action, and suffering intelligible in language, and what happens when that intelligibility breaks down under historical, social, and familial pressure. The critical essay, “Failed Descriptions and Neoliberal Talk in Don DeLillo’s The Body Artist,” argues that DeLillo represents a crisis of intentional speech under neoliberal modernity, in which public language is narrowed to private affect and meaningful social description becomes increasingly difficult. Reading the novel through philosophers of language and …

Investigations Of Carbon Dioxide Storage In Low-Temperature Reservoirs For Non-Leaking Storage, Md Nahin Mahmood

Doctoral Dissertations

Carbon dioxide (CO₂) injection into subsea or low-temperature water zones has emerged as a promising strategy for long-term, non-leaking CO₂ storage through the formation of solid hydrates. This research investigates CO₂ injection into Berea sandstone cores saturated with water under simulated subsea conditions, focusing on hydrate formation behavior across varying temperatures, pressures, and injection flow rates. Experimental results demonstrate that CO₂ hydrate formation under dynamic (flowing) conditions occurs at significantly higher pressure compared to static conditions reported previously. At temperatures ranging from 0 °C to 5 °C, dynamic hydrate formation pressures were observed to be approximately double. This can be …

Strang-Type Exponential Integrators For Stiff Reaction-Diffusion Systems, Saburi Tolulope Rasheed

Doctoral Dissertations

Reaction-diffusion systems, as examples of semilinear parabolic partial differential equations, have played significant roles in the mathematical modeling of physical, chemical, and biological processes. Several reaction-diffusion systems typically do not have exact solutions in closed form, and numerically solving them also comes with challenges due to the presence of the nonlinear local interaction/chemical reaction dynamics representing the reaction term, coupling between components, multidimensionality of the diffusion operator, and stiffness of the diffusion and/or reaction terms. Wederive and analyze several second-order accurate exponential integrators of the Strang type for the time discretization of stiff reaction-diffusion systems. We utilize the finite difference …

The Interplay Of Seasonality, Evolution, And Density-Dependence In Discrete-Time Predator-Prey Dynamics, Narendra Pant

Doctoral Dissertations

We extend the discrete-time mathematical models developed in (Ackleh et al., 2019) and (Ackleh et al., 2024) to account for seasonal prey reproduction and build a class of discrete-time predator-prey seasonal models. Each model distinguishes between breeding and non-breeding seasons, representing prey reproduction as a periodic function of period 2. Altogether, three different models are analyzed. In the first part, we extend the predator-prey model from (Ackleh et al., 2019) to incorporate seasonality. We study the resulting dynamics and show that when the inherent reproduction number of the prey and the invasion reproduction number of the predator are larger than …

Building And Restoring Trust In Deep Learning: From Multimodal Sensing To Generative Synthesis And Model Integrity, Liqun Shan

Doctoral Dissertations

Deep learning has become a foundational technology for modern intelligent systems used in sensing, authentication, media generation, and automated decision-making. As these systems are increasingly deployed in security- and privacy-sensitive settings, ensuring their trustworthiness has become a critical challenge. Yet deep learning models remain vulnerable to spoofed sensory inputs, synthetic media, and malicious behaviors hidden within trained networks. These vulnerabilities undermine reliability and raise serious concerns about whether such systems can be trusted under adversarial and deceptive scenarios. This dissertation investigates how to build and restore trust in deep learning across three tightly connected dimensions: multimodal sensing, generative authenticity, and …

A Qualitative Study Examining Teachers' Knowledge And Awareness In Recognizing The Characteristics Of Twice Exceptional Learners: An Underrepresented And Underserved Population, Adrianne Monique Williams

Doctoral Dissertations

Over the past 30 years, research on twice exceptional learners has been gradually increasing, however, knowledge and awareness of the information in the educational community have been slowly evolving (Bailey & Rose, 2011; Baum, 2004). Outwardly, twice exceptional students may present as typical. Still, they face many unique challenges that include academic achievement, social awkwardness, executive functioning deficits, social communication challenges, and teachers who are not aware and trained to meet the atypical needs of these students. Researchers and practitioners are becoming increasingly aware of the underrepresentation that plagues gifted and talented programs, especially concerning twice exceptional students, and students …

Diversity, Systematics, And Phylogenomics Of The Neotropical Glass And Longtail Knifefishes (Gymnotiformes: Sternopygidae), Kevin Thomas Torgersen

Doctoral Dissertations

This dissertation provides a comprehensive systematic and phylogenetic study of the electric knifefish family Sternopygidae, integrating morphological, molecular, osteological, and phylogenomic data to clarify species diversity, evolutionary relationships, and biogeographic patterns in this Neotropical group. Across six studies, the work reveals that Sternopygidae diversity has been significantly underestimated due to morphological conservatism that obscures species boundaries. Chapter 1 revises the genus Sternopygus in the Guiana Shield, identifying nine species (five new) using osteology, morphometrics, and µCT imaging. Distinct anatomical traits and distribution patterns show strong regional structuring, highlighting the Guiana Shield as a diversification center. Chapter 2 describes a new …

Multidomain Modeling And Ramp-Aware Forecasting Of Floating Photovoltaic Systems For Water-Energy Nexus Applications, Md Atiqur Rahaman

Doctoral Dissertations

Floating photovoltaic (FPV) systems have become a transformative renewable energy technology because of their cooling effects on PV performance and ability to prevent water evaporation in land-constrained areas. Although FPV systems have the potential to become a commercially viable technology, their large-scale deployment remains constrained by uncertainties in thermal behavior, sustainability, and grid-operational variability. This dissertation identifies and characterizes these three key issues and presents an integrated, measurement-based evaluation of a 130 kW FPV installation located at the Passaúna reservoir in Brazil. In the first contribution, four temperature models, including physical and empirical models, were developed and comparatively evaluated to …

The Promise And The Punishment: A Critical Analysis Of Pbis At The Intersection Of State Discipline Policies In Louisiana, Ashley D. Willis-Brooks

Doctoral Dissertations

Positive Behavioral Interventions and Supports (PBIS) emerged as a preventative instructional alternative to exclusionary and punitive school discipline practices emphasizing tiered systems of support, data-based decision making, and proactive behavioral instruction. Despite its strong theoretical foundation and widespread adoption, PBIS implementation has produced uneven outcomes, particularly in policy contexts where state discipline statutes continue to authorize exclusionary practices. In Louisiana, PBIS is promoted through state guidance as an evidence-based framework; however, governing discipline policies simultaneously permit suspension, expulsion, and zero-tolerance provisions. This coexistence raises critical questions regarding alignment, coherence, and equity within the state’s discipline system. The purpose of this …

Learning And Predicting The Performance Of Gradual Type System, Mohammad Wahiduzzaman Khan

Doctoral Dissertations

Gradual typing reconciles the complementary strengths of static and dynamic typing by allowing programmers to incrementally introduce type annotations while preserving the flexibility of dynamically typed code. This approach improves reliability, documentation, and tooling support without sacrificing rapid prototyping. To ensure soundness, gradual type systems enforce annotations through runtime checks, typically implemented via cast insertion. Although these checks guarantee correctness, they can introduce substantial and highly variable runtime overhead, making performance prediction and optimization a central challenge for practical adoption. Prior work has largely focused on coarse-grained (macro-level) configurations, where entire modules are either fully typed or untyped. While such …

Learning From Extremes: A Copula-Based Feature Selection Framework For Machine Learning-Driven Risk Prediction, Agnideep Aich

Doctoral Dissertations

Reliable feature selection is crucial for building interpretable and practical risk models, particularly when decisions depend on identifying the highest-risk groups rather than relying on average trends. This dissertation presents and tests a supervised filter that ranks predictors by their upper-tail concordance with the outcome, using a Gumbel-implied upper-tail concordance score $\lambda_U$. The score is calculated from pseudo-observations and Kendall’s $\tau$ (via the Gumbel $\tau\mapsto\lambda_U$ mapping), does not require model fitting during selection, and focuses directly on joint extreme events, such as when both a predictor and the positive class are high. The method is compared to Mutual Information, mRMR, …

Mdds: The Road Ahead, Shelly Fava Ms, Cmp, Cae

Metro Denver Dental Society Articulator Magazine

This article outlines the Metro Denver Dental Society’s (MDDS) vision for supporting dental professionals through education, innovation and community engagement. MDDS Executive Director, Shelly Fava, highlights the organization’s commitment to addressing emerging trends in dentistry, including oral-systemic health and workforce development. It also explores how MDDS plans to strengthen member value through expanded programming, strategic partnerships and future-focused initiatives. The article provides insight into the association’s long-term priorities and its role in shaping the future of organized dentistry in Colorado.

Fashioning The Self: Trauma, Disability, And Autofiction In Contemporary Quebecois Literature, John Ashburn

Doctoral Dissertations

This dissertation brings into dialogue trauma studies, disability studies, queer theory, and scholarship on autofiction and self-portraiture to examine representations of the self in contemporary Quebecois literature. Focusing on La fille d’elle-même (2021) by Gabrielle Boulianne-Tremblay, Tu aimeras ce que tu as tué (2017) by Kev Lambert, Grosse (2018) by Lynda Dion, Désormais, ma demeure (2020) by Nicholas Dawson, Chienne (2019) by Marie-Pier Lafontaine, and Ouvrir son cœur (2018) by Alexie Morin, this study argues that the literary self emerges as fundamentally unstable, shaped by trauma, embodiment, cognitive variation, and shifting configurations of gender and sexuality. Across this corpus, fragmentation …

Challenges In Tracking Methane Seepage Variability: The Δ13c Proxy Through Individual Benthic Foraminifera Analysis, Gracie Babineaux

Doctoral Dissertations

Methane seeps are dynamic biogeochemical systems that influence carbon cycling, seafloor ecology, and gas hydrate stability along continental margins. Yet reconstructing past methane seepage remains challenging because most sedimentary proxies integrate over long timescales and cannot resolve the short-lived or spatially restricted methane pulses that characterize many seep environments. This dissertation evaluates the reliability, sensitivity, and limitations of benthic foraminiferal δ¹³C as a proxy for methane-rich porewater conditions across two contrasting seep systems: long-term seepage at Woolsey Mound in the northern Gulf of Mexico and short-term, spatially variable seepage along the Chilean Margin. Using Individual Foraminifera Analysis (IFA), scanning electron …

Molecular And Histologic Studies Of The Amygdala And Reward Circuits In Rhesus Macaques (Macaca Mulatta) With Self-Injurious Behavior (Sib), Jackie Barua

Doctoral Dissertations

Self-injurious behavior (SIB), also known as non-suicidal self-injury (NSSI), is characterized by deliberate infliction of harming one’s own body tissues without committing suicide, and persists in a group of captive rhesus macaques despite an enhanced enrichment program and pharmacological intervention with diazepam. The aim of this dissertation was to identify the neurobiological underpinnings of SIB by combining RNA-seq guided transcriptomic discovery and targeted candidate gene validation with unbiased histological and imaging analysis. The secondary aim was to employ a complementary mouse model to investigate the endogenous opioid system in response to diazepam. The amygdala transcriptome of primates with SIB (n …

Investigating The Distribution And Origin Of Pitted Mounds On Mars Using Machine Learning-Based Mapping And Integrated Geological Analysis: Application To Isidis Planitia, Precious Batubo

Doctoral Dissertations

Pitted mounds are widespread landforms across the northern plains of Mars, yet their origin remains uncertain. These features have been interpreted as possible expressions of subsurface fluid activity, including sedimentary volcanism, magmatic processes, or other fluid-assisted mechanisms. Determining their distribution, morphology, and geology is therefore important for understanding the evolution of subsurface hydrological processes and the planet’s potential for habitability. However, the large spatial extent of mound-bearing terrains makes comprehensive manual mapping impractical. This dissertation presents an automated approach to mound detection using Faster Region-Based Convolutional Neural Network (Faster R-CNN) from high-resolution Context Camera (CTX) images including morphometric and mineralogical …

Enhancing Hiv Prevention: Implementation And Evaluation Of A Standardized Hiv Risk Assessment Screening In A Primary Care Setting, William Duckworth

Doctoral Dissertations

Background: HIV remains a persistent public health concern, with 1.3 million people affected worldwide. Although advances in treatment have improved long-term management, early prevention still relies on identifying individuals at elevated risk. In many primary care settings, routine HIV risk assessment is inconsistent or absent, resulting in missed opportunities to screen, educate and initiate prevention strategies such as pre-exposure prophylaxis (PrEP). This gap underscores the need for structured, evidence-based tools to improve early risk identification and strengthen HIV prevention efforts. Purpose: Implement and evaluate an evidence-based standardized screening process for HIV risk assessment to achieve early identification and enhance appropriate …

Enhancing Hpv Vaccination Engagement And Uptake Among Young Adults Aged 17 To 26 Through A Multilevel, Multicomponent Intervention, Sarah Dianne Girlinghouse

Doctoral Dissertations

Background: Human papillomavirus (HPV) remains one of the most common vaccine-preventable infections, with vaccination rates among young adults aged 17 to 26 remaining below Healthy People 2030 targets. University health settings represent a critical opportunity to improve vaccine uptake. Prior to this quality improvement (QI) initiative, student health services (SHS) at a public university in the southern United States did not routinely offer HPV vaccination, resulting in missed opportunities for prevention. Evidence supports provider recommendation, clinical decision support, and improved access as key drivers of HPV vaccination uptake. Purpose: The purpose of this QI project was to increase HPV vaccination …

Development Of Artificial Intelligence Based Geophysical Technique For Unconventional Resource Exploration, S M Shamsul Hoque

Doctoral Dissertations

Unconventional shale resources have become an important source of oil and gas in the United States, but their characterization remains challenging because of strong heterogeneity and complex elastic and geomechanical behavior. Important properties, such as total organic carbon (TOC) and brittleness, play a key role in evaluating source quality, reservoir behavior, development potential, and subsurface storage suitability. This dissertation develops artificial intelligence-based geophysical techniques to improve unconventional resource exploration and characterization by integrating seismic attributes, well-log data, deep learning, multicomponent seismic registration, and joint PP-PS inversion. A TOC estimation technique is developed and applied to both the Tuscaloosa Marine Shale …

Optimizing Well-Being In Post-Stroke Aphasia: Improving Access And Participation In Mental Health Care, Ashley H. Kidd

Doctoral Dissertations

This dissertation is focused on improving the well-being of people with aphasia. The overall aim of this research agenda is to move the healthcare system forward in its understanding of managing people with aphasia’s well-being after diagnosis. This focus is addressed through a compilation of three separate academic articles that are published or submitted to journals for the peer review process in speech-language pathology. All three works are focused on aphasia, a language disorder resulting from acquired brain injury, and the well-being of the person with aphasia. The first article focuses on managing the communication breakdowns that occur during group …

Are Greenfield Cross-Border Investments Sensitive To Us Trade Policy? An Investigation Of Responses To Liberation Day Tariff Announcements, Philip Caspar Ernst

Economics Undergraduate Senior Theses

This paper studies whether foreign greenfield investment into the United States responded to the Trump administration’s April 2025 Liberation Day tariff announcements. Using project-level fDi Markets data from January 2023 through November 2025, I examine changes in announced project counts, expected jobs created, and capital investment. The analysis compares aggregate investment activity before and after Liberation Day, tests whether responses differed for countries assigned additional tariffs above the 10% baseline level, investigates the effects of tariff intensity on investment announcements, and examines whether effects were concentrated in particular business activity fields. The clearest finding is that project announcements declined after …

The Impact Of Student Choice On Reading Engagement And Comprehension In First Grade, Gia Stella Nardi

Theses and Dissertations

The purpose of this study was to (a) examine the effect of student choice on first-grade students’ reading engagement and (b) determine how student choice impacted their reading comprehension during instruction. Throughout the study, students utilized a choice board following each read-aloud to express their understanding of what they perceived as important in the text. Findings indicated that students demonstrated high levels of engagement during the 12 read-alouds, which were intentionally selected based on their interests, as well as during the choice-based activities that followed. Additionally, students showed growth in their ability to apply key comprehension skills, including summarizing, identifying …

Harnessing Story To Overcome The Double Empathy Problem Between Autistic And Neurotypical People: Brain-Behavior Relationships, Kate Gifford

Theses and Dissertations

There is a dearth of information on the physical aspects of the Double Empathy Problem which is the bidirectional challenge of shared empathy and understanding between autistic and neurotypical individuals. Storytelling has been shown as means to facilitate empathy between storytellers and listeners in both neurotypical and autistic populations through behavioral research. Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used to evaluate the hemodynamic response in the cortex and can be used to compare hemodynamic responses across multiple individuals (i.e., hyperscanning). The purpose of this study was to examine activation in empathy-related brain regions and assess brain synchrony between …

Mgrre_Thinsections_Mgrre-147_7, Mgrre

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Seeing Through Similar Eyes: How Social Identity Shapes Reinterpretation Of Ambiguous Stimuli, Eli Bailit

Cognitive Science Senior Theses

Identical sensory input can lead to a variety of subjective experiences and interpretations. In the face of such ambiguity, we often turn to our social context. Does the identity of the person providing an alternative interpretation to an ambiguous stimulus impact someone’s likelihood to adopt it? This study examined whether perceived interpersonal similarity modulates reinterpretation of ambiguous visual stimuli. Thirty Dartmouth undergraduates completed a modified “MadLibs” paradigm in which they generated initial interpretations of ambiguous photographs, indicated their confidence in their interpretations, then decided how much to update those interpretations upon viewing an alternative sourced from an individual of varying …

Category Learning Under Verbal Interference, Yawen Xue

Cognitive Science Senior Theses

What happens to cognition when you disrupt language? What does language actually do as a representational medium for cognition? Much literature shows a facilitative role of language on categorical thinking. This work specifically examines the role of language in category learning using a verbal interference paradigm. I ran two experiments where participants learned to distinguish between two novel categories of bugs while under conditions of verbal or visuospatial interference. In Experiment 1, category membership was determined by an XOR rule; in Experiment 2, category membership was determined by an AND rule.

In Experiment 1, participants on average did not succeed …

Mgrre_Thinsections_Mgrre-147_2, Mgrre

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Mgrre_Thinsections_Mgrre-147_8, Mgrre

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Mgrre_Thinsections_Mgrre-147_3, Mgrre

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Mgrre_Thinsections_Mgrre-147_1, Mgrre

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