Digital Commons Network^™

Mapping Cave Vulnerability And Priority Areas For Biospeleological Conservation, C. Lael Anderson

Theses

Alabama contains some of the highest levels of subterranean biodiversity in North America, yet no statewide assessment of cave vulnerability has previously been conducted. A spatially explicit vulnerability assessment was developed for Alabama caves using species occurrence records, landscape characteristics, anthropogenic threat data, and groundwater vulnerability metrics. Distribution maps were generated for cave- obligate and bat species, and vulnerability was assessed using human population, land- use, groundwater quality, groundwater quantity, and modified DRASTIK models. Results identified numerous single-site endemic species, regional biodiversity hotspots, and cave systems facing elevated anthropogenic threats. Conservation priority rankings highlighted species and caves of greatest management …

Effects Of Energetic State On Male Mating Preferences In Poeciliid Fishes With Differing Mating Strategies, Katherine E. Taylor

Theses

Reproduction is energetically costly, making condition (i.e., energetic state) a potential factor in shaping reproductive behavior. However, its role in male mate choice remains largely unexplored. Here, we investigate condition-dependent effects on male mate choice in two species of Poeciliids: one coercive species (Gambusia affinis) and one courting species (Xiphophorus hellerii). Diet treatments were used to manipulate male and female conditions, and male preferences were assessed in dichotomous-choice tests using animated female stimuli. X. hellerii males showed a preference for high-condition females, whereas G. affinis males showed no overall net preference. Diet influenced preference in G. affinis, with high-fed males …

Evaluating Stormwater & Carbon Benefits Of Urban Street Trees, Anthony J. Rodriguez Diaz

Theses

Urban areas experience a multitude of environmental challenges, including flooding and air pollution. In response to these pressures, urban forests have emerged as an essential nature-based strategy to enhance resilience and reduce climate-related risks. The implementation and expansion of urban street trees further contribute to this effort by mitigating stormwater runoff and reducing atmospheric carbon emissions.

Fortunately, advances in environmental modeling have made it increasingly possible to quantify these ecosystem services using specialized software. The United States Department of Agriculture (USDA) Forest Service's i-Tree suite exemplifies this progress. The software provides a comprehensive set of tools designed to quantify environmental …

Evaluating The Feasibility Of Digital Twin Adoption For Mep Systems, Tejas Adana

Theses

MEP systems dominate building operational costs, yet facility teams continue battling reactive maintenance cycles that result in unexpected equipment failures, emergency callouts, and continuous energy inefficiencies. Digital twin technology presents a practical solution by creating live virtual replicas that shift operations from firefighting breakdowns to anticipating issues before they escalate. However, adoption remains limited due to fragmented implementation guidance, short-term validation studies, and minimal research addressing emerging market contexts. This research employs a grounded approach combining systematic literature analysis, candid discussions with MEP engineers and facility managers across UAE commercial properties, and practical prioritization frameworks assessing real-world impact against implementation …

Visible And Invisible Empires: The Revival Of The Ku Klux Klan 100 Years Ago, Christian Molina

Theses

Hatred and violence breed division, and division breeds more hatred and more violence. In an America where our politics has become name-calling, finger-pointing, scapegoating, and whataboutisms, and violence, unfortunately, it is safe to say our nation has entered this self-perpetuating cycle. A place for malicious groups concerned with growth, power, and profit to capture the angry, the stressed, and the less informed in their webs of elaborate lies and misleading, misinterpreted numbers the way they have in decades past.

A Search For Serotyping Candidates In The Streptococcus Sobrinus Genome, Ryan Schwendel

Theses

Streptococcus sobrinus (SSO) is a pathogenic microbe native to the human oral microbiome. SSO is historically implicated in carie formation, and may be involved in neurodegenerative disease progression. The study of SSO is challenged by a lack of access to a serotyping assay. This study aims to identify sero-specific candidates from available SSO genomes using sequence alignment and phylogenetic analysis. Three candidate genes were found that may be sero-specific: putative quinol monoxygenase, a hypothetical protein, and elongation factor Tu. To further assess the candidates the original antibodies or a list of proteins involved is required. Alternatively, a new classification system …

Understanding Crime Through Harm: A Multi-Stage Study Of Rochester, Ny, Hayder Alhafedhi

Theses

This capstone project develops, critiques, and applies a Crime Harm Index (CHI) for the City of Rochester, New York, as an alternative to traditional crime measures that rely solely on raw counts. Rather than treating all offenses as equal “one crime = one unit,” the project weights crimes by the severity of harm they cause, using New York State sentencing guidelines as the core metric. Across four working papers, the project moves from conceptual foundations and limitations of harm-based metrics, to the construction of a Rochester-specific Crime Harm Index, and finally to a set of spatial regression models that link …

Understanding The Relationship Between Mental Health And Criminal Justice Involvement: Pathways, Disparities, And Improving System Responses, Haley Bly

Theses

This capstone project examines the complex relationship between mental health and involvement in the criminal justice system, emphasizing how pathways, external conditions, structural inequities, and system responses interact to shape long-term outcomes for persons with mental illness (PwMI). While mental illness alone is not a predictor of criminal behavior, the intersection between psychological disorders, social strain, stigma, and systemic failures significantly heightens the risk of criminal justice involvement. Combining four working papers, this capstone examines these relationships across individual, environmental, institutional, and community levels, ultimately arguing that treatment and rehabilitative-centered reforms are essential for improving the experiences of individuals with …

Planning For Power: The Role Of Architecture & Urban Form In Local Energy Generation In Dense Built-Up Areas, Chris Shing Wai Leung

Theses

This thesis explores how the urban form/building design, and a well-thought-out City Master Plan can significantly affect wind patterns and enhance on-site energy generation in dense urban areas. It will examine strategies such as modifying building heights, adjusting separations between structures, shaping urban landforms, and varying the roughness of the urban fabric to optimize wind energy generation. Additionally, the research will focus on the strategic placement of community power harvesting devices. The study of the urban forms and fabric with the impact of wind patterns is simulated by fluid mechanics with Computational Fluid Dynamics (CFD) software. The goal of this …

Comprehensive Drought Analysis: Machine Learning-Based Meterological Drought Forecasting And Pca-Driven Agricultural Drought Monitoring., Bishal Poudel

Theses

Drought is a long-term natural disaster that affects many aspects of human life from health, water supply to ecosystems and agriculture. Drought’s occurrence and intensity has increased in recent years because of global warming, which urges for proper and accurate monitoring and forecasting of drought. For better understanding of droughts, this study uses two approaches. In first part, the study uses the historical temperature and precipitation data from period of 1960 to 2021 as input features for three different machine learning models – Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest (RF). The research focuses on calculating …

Survivorship In Virginia Opossums And The Management Implications For Burmese Pythons In Key Largo, Florida, Arya J. Sanjar

Theses

This study employed a telemetry-based framework, using radio-collared Virginia opossums (Didelphis virginiana), to quantify survival patterns and estimate detection probabilities of python predation events. Between April 2022 and January 2025, 135 adult opossums were monitored using VHF collars across protected habitats within Key Largo. Annual survival was estimated using a staggered-entry Kaplan-Meier model, producing an annual survival rate of 0.17 (SE = 0.089) for females, and male survival was estimated at 0.04 (SE = 0.032) at 10 months since no male lived 10 months after collaring. Cause-specific monthly survival analyses indicated python predation peaked during the late summer months of …

Exploring The Adoption Of Quality 4.0: A Qualitative Study Of Industry Practices And Barriers, Tama Rani Sarker

Theses

The emergence of Industry 4.0 has revolutionized quality management, introducing Quality 4.0 as a framework that integrates digital technologies with established quality principles. Despite its potential to enhance operational efficiency and decision-making, many organizations face challenges in adopting Quality 4.0, including skill gaps, resource constraints, and cultural resistance. This qualitative study explores industry practices, barriers, and enablers of Quality 4.0 implementation through surveys and interviews with quality professionals in southern Illinois manufacturing companies. Using a phenomenological approach, five major themes emerged: employee skillset, training, technology integration, quality tools, and supply chain management. Findings reveal that successful adoption depends on workforce …

Effect Of Water-Deficit Stress On Cannabis Sativa Production And Secondary Metabolite Levels, Shiksha Sharma

Theses

Cannabis (Cannabis sativa L.) is an emerging high-value crop that belongs to the Cannabaceae family and the genus Cannabis, which is known to produce more than 200 cannabinoids. Although genetic variation is the main factor in cannabinoid production, water-deficit stress is believed to induce its production. The objective of this master’s thesis was to determine the effects of water-deficit stress frequencies and timing on growth, physiology, yield, and cannabinoid concentration in cannabis. Heidi cultivars were planted in a controlled environmental growth unit. One period of water-deficit stress was found to produce the lowest concentration of total CBD and THC. In …

Flood Susceptibility Assessment Through Gis Integrated Analytical Hierarchy Process And Machine Learning Models, Sujan Shrestha

Theses

Flooding is among the most destructive natural disasters globally, and it inflicts severe damage on both natural environments and human-made structures. The frequency of floods has been increasing due to unplanned urbanization, climate change, and changes in land use. Flood susceptibility maps help identify at-risk areas, supporting informed decisions in disaster preparedness, risk management, and mitigation. This study aims to generate a flood susceptibility map for two regions: Davidson County of Tennessee using an integrated geographic information system (GIS) and analytical hierarchical process (AHP), and the Briar Creek watershed of Mecklenburg County, North Carolina using an integrated GIS and machine …

Debating Empire: The Yucatan Crisis And The Political Aftermath Of The Mexican-American War, Colton Matthew Warnes

Theses

This study examines the impact of the Caste War of Yucatán had on the geopolitical relationship between the United States and Mexico in the aftermath of the Mexican-American War. The briefly independent Republic of Yucatán requested foreign intervention to end the Caste War. The United States debated intervention in Yucatán, while Mexico, still reeling from the loss of the Mexican-American War and dealing with internal political conflict, made steps to reincorporate Yucatán back into Mexico and to diplomatically resist American expansion. Examining the political landscape of the United States and Mexico in the spring of 1848 offers an alternate perspective …

A Comparison Of Fixed And Repetitive Models During Imitation Training In Children With Developmental Delays In A School Setting, Laci Fletcher

Theses

Imitation training is commonly recommended in applied behavior analytic literature to address deficits in imitative skills. Few studies have directly compared imitative models to identify the most efficient and effective teaching arrangement to facilitate imitative skills (Deshai & Vollmer, 2019; Halbur et al., 2023). Previous results are inconclusive, and the authors recommended further research comparing the effect of fixed and repetitive models. Therefore, the present study was a replication of Halbur et al. (2023) and addressed limitations suggested by the authors. We examined whether components of imitative models affected the efficiency of the model type and reduced faulty stimulus control …

Adaptive Reuse Of Underutilized Strip Malls: Creating Mixed-Use Continuum Care Campuses For Seniors, Julie Le Nguyen

Theses

As suburban commercial landscapes continue to decline, underutilized strip malls present an opportunity to reimagine aging-supportive environments through adaptive reuse. This thesis investigates how these sites can be transformed into mixed-use senior housing and continuum-care campuses through adaptive reuse strategies. Using a comparative case study methodology, the research examines a range of precedents—including senior housing retrofits, dementia villages, and community-based mixed-use developments—to identify key spatial, programmatic, and environmental principles that support aging populations. A five-part evaluative framework assesses project performance across site integration and green space, social and intergenerational engagement, programmatic and service integration, mixed-use activation, and cognitive and environmental …

These Yellow Stars Of Ours, Vinh Hong Nguyen

Theses

These Yellow Stars of Ours is an experimental documentary that traces the intertwined histories of Thaun and Nam Nguyen as they flee war-torn Vietnam, fall in love, and build a life in Western New York. Through their accounts and those of their two sons, the film explores the complexities of generational trauma and the ongoing experience of bicultural straddling—the negotiation between inherited Vietnamese identity and the shaping influence of an American upbringing. The project examines how trauma, memory, and cultural displacement circulate across generations, shaping identity in both visible and invisible ways. Methodologically, the film is structured around the conceptual …

Massive Stars Behaving Badly: Exceptional Interactions And Their Remnants, Kaila Nathaniel

Theses

Massive stars are some of the most dynamic and influential objects in the Universe, driving galactic evolution through violent explosions and serving as progenitors to neutron stars and black holes. While the evolution of isolated massive stars already produces remarkable phenomenae, massive stars that interact with companions or evolve within extreme environments may produce even more extraordinary outcomes. In this dissertation, I investigate some exceptional circumstances in which a massive star might find itself. In a first investigation, I analyze the strong interactions between isolated pairs of stars in low-density environments. If a binary consisting of a massive star and …

Assessing The Impact Of Gis Data Inaccuracies On Urban Infrastructure, Majid Aldashti

Theses

Urban infrastructure delivery is a complex process influenced by project type, spatial distribution, stakeholder coordination, and data quality. This thesis examines the application of Microsoft Power BI, a no-code visual analytics tool, as a means to analyze performance patterns in urban projects and inform decision-making in smart city governance. The study uses a structured secondary dataset simulating over 600 infrastructure projects across various departments and neighborhoods. By transforming raw data into an interactive dashboard, the research explores relationships between delay rates, customer satisfaction, budget compliance, and technology adoption. The analysis revealed that project categories such as metal furniture and police …

Three Forks, Virginia Van Enckevort

Theses

Three Forks is a thesis drama series about a 19th-century woman sent West to live with her estranged family in Muscogee, a lawless town where justice bends to power and survival means learning the game — or being buried by it. As we follow our lead, Eleanor Davis, out West and eventually her settlement into town, we gain a look into her new world, one where tribal council contend with encroaching U.S. jurisdiction and where settlers, freedmen, and railroad men jostle for influence in a town on the brink of statehood. The many fabled stories and myths about the West …

Advancements In Ml Via Efficient Generative Modeling, Robust Domain Adaptation, And Explainable Multimodal Retrieval, Prasanna Reddy Pulakurthi

Theses

The rapid evolution of AI heightens the need for learning systems that are efficient, robust, and explainable. This dissertation advances these three pillars through innovations in classification, generative modeling, domain adaptation under data-scarce conditions, and multimodal retrieval. Collectively, the methods reduce dependence on large, labeled datasets, improve adaptability under distribution shifts, enable deployment on resource-constrained platforms, and enhance interpretability. For classification, the Iterative Maximum Likelihood Classifier (IMLC) recasts regularized maximum likelihood training as a fixed-point contraction with convergence guarantees, enabling faster and more stable optimization. Results on synthetic data and MNIST validate its efficiency. For generative models, we introduce Parametric …

Adaptive Design Solutions For Golfers With Arm Impairment, Samuel Hao-Yu Wang

Theses

Golf is a game of precision, focus, and enjoyment for everyone, regardless of age, physical condition, or experience. However, for many people with disabilities, full participation in the game can be challenging. This project created an inclusive golfing experience for players with physical disabilities by assisting them with specific actions required in golf. The goal was to design solutions that reduce limitations caused by impairments, enabling players to enjoy the game with greater freedom. The United States Disabled Golf Association recognizes 14 sport classes of physical impairments, categorizing competitors by different types and levels of disability. This project focused on …

Symbiotic Furniture Design: A Single Chair Integrating Epiphytes With Taiwanese Window Grille Structures, Kuan-Wen Lin

Theses

Plants have been integrated into residential and interior environments for centuries, yet research on the psychological effects and interactive potential of plants in furniture design is still relatively limited. Traditional planting methods, such as individual potted plants or large green walls, often require additional floor or wall space, which is not ideal for environments with limited living space. Therefore, this study investigates how plants can be integrated into furniture design to enhance the effect of interior greenery and user engagement, and to redefine the relationship between furniture and the natural environment. This research explores a furniture design that incorporates epiphytic …

Defaking Deepfakes: Designing And Evaluating Ai-Powered Digital Media, Saniat Javid Sohrawardi

Theses

The rapid spread of generative AI has revolutionized media production, creating new challenges for information integrity as convincing deepfakes proliferate. Journalists play a critical role in upholding credible public information, yet existing deepfake detection technologies often overlook their specific workflows and requirements. This dissertation addresses these needs by identifying what journalists require from detection tools and evaluating usability in realistic scenarios through the following works: Journalists' Needs and Tool Design: Through qualitative user studies, we uncover journalists' preferences for tools that provide transparent, explainable evidence and context-aware analysis integrated into news verification routines. These insights drive the design of DeFake, …

Comparative Analysis Of Machine Learning Models For Spam Email Detection, Rashed Almarri

Theses

The current research examines one of the most effective approaches to spam email detection based on machine learning and natural language processing (NLP). The study is placed in the context of the rising cyber threats and the influx of emails, where the spam/ham data is to be classified correctfully using the combination of the Logistic Regression, NLP (including tokenization, lemmatization, and TF-IDF vectorization). The questions of the research were devoted to the efficiency of such an approach and the interpretation of its results. The data used are obtained by a publicly available Kaggle data set that contains 5,572 labeled email …

Detecting Illicit Bitcoin Transactions On The Dark Web, Abdulla Alsuwaidi

Theses

Dark web markets use Bitcoin and related cryptocurrencies to transfer and launder proceeds of crime while obscuring the real-world identities of operators. This creates an increasingly challenging environment for regulators and law-enforcement agencies, who must analyse suspi- cious transactions on decentralised, public, pseudonymous blockchains and increasingly dense and noisy Bitcoin transaction graphs. This thesis investigates whether, and how, blockchain analytics and machine learning can help detect illicit transactions on Bitcoin networks. The first part of the thesis is a systematic literature review of recent contributions from academia and industry that examine major solution approaches for identifying illicit flows on public …

Physics Meets Data: Merging Physics-Based Methods With Deep Learning To Model Complex Systems, Maryam Toloubidokhti

Theses

Accurate modeling of complex systems is crucial in domains such as healthcare, where personalized diagnosis and treatment planning are essential. Traditional physics-based models provide structured, theoretically grounded insights but are often computationally intensive and constrained by simplified assumptions that limit adaptability to patient-specific conditions. In contrast, data-driven models are computationally efficient and capable of capturing complex patterns, yet they often lack interpretability and fail to incorporate essential physical principles, reducing robustness and generalization. This disconnect between mechanistic understanding and computational practicality presents significant challenges in critical applications such as healthcare, where both physical accuracy and real-time performance are vital. To …

Persuasive Pathways In Digital Apologies: The Role Of Persuasion Routes In Engagement With Youtuber Apology Videos, Darrin Majocha

Theses

This study explores how viewers process YouTube apology videos and how those processing methods relate to their judgments of the creator and their willingness to continue engaging with the channel. Guided by the Elaboration Likelihood Model, a single-session online survey experiment randomly assigned 413 adult participants to watch one of five publicly available apology videos from well-known YouTubers. After viewing, participants reported the extent to which they engaged in central versus peripheral processing, rated the creator's credibility and the apology's sincerity, and indicated their intentions to engage. Central processing was positively associated with engagement intentions, whereas peripheral processing was weakly …

Detecting Fraud In Police Reports Using Machine Learning And Natural Language Processing, Maryam Almarar

Theses

The paper explores how statistical analysis and machine learning can be used to identify the fraud patterns in the police reports. The study aims at establishing the most important predictive factors and indicators distinguishing fraudulent and valid cases with the use of structured data of police databases. The work was done in the background of the increase in financial fraud instances and the rising necessity of the introduction of automated detection systems in police departments. Police reports of the pastwere mined down to data and analyzed on SPSS 1, to carry out statistical operations. The sample was structured data which …