Digital Commons Network^™

Cannabis: A Model Plant To Study Light-Mediated Reproductive Development, Madigan J.H. Eckels

All Graduate Theses and Dissertations, Fall 2023 to Present

Cannabis (Cannabis sativa) is a plant of increasing importance for research, medical, recreational, industrial, and agricultural purposes, but a strict legal landscape means that it was chronically understudied. Now that research institutions can utilize this plant for study, we require updated terminology to describe various cannabis flowering types that occur under ideal and non-ideal growing conditions. We introduce new flowering terminology and describe them in text and with photographs.

Plants use light as a resource to power photosynthesis, and a greater total sum of photons generally increases yield. In controlled environment agriculture where growers utilize light fixtures instead …

Developing Fragility Curves For Steel Special Moment-Resisting Frames In Utah, Olivia P. Murphy

All Graduate Theses and Dissertations, Fall 2023 to Present

Major seismic events along the Wasatch Fault represent a serious threat to Utah's residents and built environment. Engineers currently rely on a statistical approach that calculates earthquake ground shaking based on probabilities of various events occurring over extended time periods. This method informs how strong new buildings must be constructed. However, many structural engineering professionals in Utah worry that this probability-based approach may significantly underestimate the actual ground shaking compared to an alternative method that examines the largest possible earthquake a fault can generate. The substantial differences between the two analytical approaches raise fundamental concerns about whether existing construction standards …

Predicting Flight Fares With Machine Learning: Enhancing Aviation Industry Pricing Forecasting, Reem Almulla

Theses

This research investigates the increasing challenge of accurate flight fare prediction for travel agencies that are functioning and working in the post-pandemic aviation market. As the prices fluctuate while demand is unstable and competition pressure increases, therefore it influences decision-making and profitability. In most cases, traditional ticket pricing methods often can be ineffective when capturing complex and non-linear relationships within factors that influence the ticket fare dynamics. As a result, highlighting the urge of more adaptive pricing and data-driven predictive machine learning models. In response to this challenge, the research examines the effectiveness of machine learning techniques for enhancing flight …

Designing A Uae-Centric Integrated Mobility System: Linking Transport,Traffic, And Urban Data For Smarter Travel, Alreem Jabir Alshamsi

Theses

Urban mobility systems are central to smart city performance; however, in many rapidly developing cities, mobility services remain fragmented across agencies, platforms, and datasets. In the United Arab Emirates (UAE), cities such as Dubai and Abu Dhabi have made significant investments in digital infrastructure and intelligent transport solutions. Despite this progress, existing mobility applications continue to operate in functional silos, limiting real-time adaptability and cross-domain integration. Current platforms primarily focus on transport coordination and congestion avoidance, with limited integration of broader urban datasets such as building access schedules, environmental conditions, and localized service availability. This research addresses the absence of …

Mathamr+: A Unified Graph Neural Network Framework For Multimodal Mathematical Information Retrieval, Jacob Yoon

Theses

Mathematical Information Retrieval (MIR) focuses on developing systems that enable users to search for and retrieve documents containing mathematical content. A key challenge in building effective math-aware retrieval systems lies in jointly modeling the symbolic and operational structure of mathematical expressions together with their surrounding linguistic context. Existing approaches often use linear token sequences, losing structural information, or rely on separate models for text and math, limiting their ability to capture cross-modal patterns and learn contextualized representations. This thesis proposes MathAMR+, a graph neural network-based retrieval framework that jointly models Abstract Meaning Representation (AMR) graphs, Operator Trees (OPTs), and Symbol …

3d Deep Learning For Pulmonary Nodule Malignancy Classification In Ct Imaging, Nart Madi

Theses

Early detection of lung cancer significantly improves patient survival, with pulmonary nodules in computed tomography (CT) imaging serving as key indicators of early-stage disease. However, manual classification of nodules is time-consuming and subject to interobserver variability. This thesis proposes a reproducible deep learning framework for pulmonary nodule malignancy classification using volumetric CT data. Using the LIDC-IDRI dataset, a standardized preprocessing pipeline is developed, including isotropic resampling, intensity normalization, and 3D patch extraction. A baseline 3D convolutional neural network (CNN) is implemented and compared against a proposed SE-ResNet3D architecture that incorporates residual connections and squeeze-and-excitation mechanisms. Both models are trained and …

Personalized Design Learning Paths Using Artificial Intelligence, Rahma Al-Assaf

Theses

Design education attracts students with highly diverse visual spatial abilities, prior experiences, and preferred learning styles. However, most design programs continue to place all first-year students into the same foundational courses, which can lead to cognitive overload for beginners and insufficient challenge for advanced learners. This dissertation investigates how the use of artificial intelligence (AI) can support more personalized placement by integrating diagnostic sketching assessments with validated learning-style measures. The study collected 101 primary sketches from students who are interested in the field of design. The dataset is expanded to 600 images using synthetic augmentation to ensure balanced and enough …

The University Of 2035: Rise Of On-Demand Learning And Alternative Credentials, Abdalla Bassaleh

Theses

Higher education is changing fast with new technology, shifting job market needs, and the growing popularity of alternative learning options like executive education, microcredentials, and short-term programs. Traditional degrees still matter, but flexible, industry-focused credentials are often seen by employers as more in tune with what the workforce needs. This study examines how universities in the United Arab Emirates (UAE) can integrate microcredentials into their institutional frameworks to stay competitive by 2035. It addresses a gap in UAE-centered research by combining stakeholder data with a structured foresight analysis. The research reviews national policy documents, including the UAE National Strategy for …

Navigating The Polycrisis: A Systems-Foresight Approach To Career Guidance For Generation Alpha In Dubai, Sumaiya Abdul Samad Muhammed

Theses

The global labor market is navigating a ”polycrisis” of technological disruption and macroeconomic volatility, rendering linear career trajectories obsolete. Traditional K-12 career guidance relies on industrial-era ”predict-and-place” methodologies, which fail to equip Generation Alpha for an economy defined by structural job churn. This misalignment is especially critical in Dubai, where the ambitious mandates of the Dubai Economic Agenda (D33) and Education 33 (E33) require an agile, future-ready talent pipeline. This study aimed to design and validate a foresight-driven advisory framework to replace static vocational matching with continuous futures literacy. Employing the Systemic Foresight Methodology (SFM), the research diagnosed the structural …

Antidistillation Sampling For Classification Models, Khawaja Abaid Ullah

Theses

Knowledge distillation enables adversaries to replicate the functionality of proprietary machine learning models by querying their APIs and training surrogate student models on the returned soft-label distributions. Antidistillation Sampling (ADS), recently proposed for large language models, perturbs the output distribution of a teacher model at inference time to degrade the quality of the resulting distilled model while preserving utility for legitimate users. We adapt ADS to the supervised classification setting and identify a structural obstacle to its direct transfer: the high-confidence, near-one-hot output distributions characteristic of well-trained classifiers leave insufficient probability mass on non-target classes for the additive penalty to …

Ai In Action: Redefining Loan Default Prediction For The Digital Lending Era, Joe Vinson Ukken

Theses

Credit risk assessment remains a very important part of financial institutions, particularly within the rapidly evolving digital lending environment. The research explores the effectiveness of five machine learning models—Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, and Support Vector Machine—in predicting loan default using both financial indicators and categorical borrower attributes. The study is motivated by the growing availability of structured borrower data and the need to evaluate whether advanced machine learning algorithms can be implemented over conventional credit scoring methods. A publicly available L&T Vehicle Loan Default Prediction dataset comprising 233,154 borrower records and 41 structured attributes, the CRISP-DM …

The Efficacy Of Ethical Data: An Analytical Study By, Lamar Gebara

Theses

As artificial intelligence and machine learning models become increasingly embedded in decision-making systems across industries, questions about the ethical sourcing of data have grown more pressing; model performance relies heavily on vast, diverse datasets, many of which are harvested without consent, transparency, or equitable representation. This study aims to compare analytics outcomes (accuracy, bias, fairness, and explainability) between ethically sourced and unethically sourced datasets. Using CRISP-DM methodology, the study will develop matched classification models on both dataset types, evaluate their performance and fairness using open-source tools such as Fairlearn and AIF360, and assess broader implications for trust, accountability, and regulatory …

Subject. Object. Thing., Cristin Hand

Theses

Subject. Object. Thing. is part of an accumulating record of self-construction and self-reflection. The work considers the complications of visibility through self-portraiture, how the desire to be seen exists alongside the impulse to withhold, obscure, and substitute. Working across photography, performance, collage, and sculptural constructions made for the camera, I fragment, disassemble, and reconfigure my body as photographic subject and material. This exploration is structured around a series of oppositions; concealment/exposure, anonymity/specificity, subject/object, naked/nude, and destruction/reconstruction. I do not attempt to resolve these oppositions. Instead, I consider where these categories blur, contradict themselves, and become unstable. Central to this inquiry …

Tom: Toward A Design Language For Object Personality, Mike Minerva

Theses

Design has been chasing seamless efficiency for decades, creating smoother interactions, more compliant objects, and experiences that disappear entirely. When an object is frictionless, it does not lack personality. It has a personality. One that is obedient, meaningless, and remarkably boring. An object that pushes back has boundaries, and that resistance comes from a position of caring. Objects have always been able to refuse. What is new is that the refusal can now come from inside the object, from memory, adaptive thinking and a disposition toward the person using it. Expressed consistently over time, that agency is perceived as personality. …

Atmospheric Noise Analysis In Observations From The Tomographic Ionized-Carbon Mapping Experiment, Audrey Dunn

Theses

The Tomographic Ionized-carbon Mapping Experiment (TIME) instrument is a ground-based millimeter-wavelength grating spectrometer that illuminates a cryogenically cooled array of 1920 transition-edge sensor (TES) bolometers. The goal of TIME is to generate line intensity maps of singly ionized carbon ([CII]) during the Epoch of Reionization, when hydrogen became reionized by stellar radiation and the first galaxies were forming. This measurement requires a detailed understanding of the noise, most notably the 1/f noise from the time-varying atmosphere. In my thesis work, I performed an analysis of the power spectral density (PSD) and a traditional principal component analysis (PCA) on TIME data …

Perceptual Evaluation Of Deep Learning Models For Hdr Reconstruction Under Severe Overexposure, Alireza Rabbanifar

Theses

Overexposure in imaging systems leads to irreversible loss of scene information due to sensor saturation, resulting in degraded perceptual quality and limited dynamic range. While recent deep learning approaches have shown promising results in correcting mild to moderate overexposure, their performance under severe overexposure and their perceptual quality in HDR image generation remain less understood. In this work, a comparative evaluation of four representative models—Multi-Scale Exposure Correction (MSEC), Illumination-Adaptive Transformer (IAT), LEDiff, and X2HDR—is conducted across multiple scenes and levels of overexposure, with particular emphasis on severe overexposure conditions. The evaluation focuses on the perceptual quality of the reconstructed HDR …

Like A Rolling Lychee, George Meng

Theses

I grew up in Shanghai, China—a megacity with over 25 million people. I was privileged enough to avoid the grueling fate of taking the National College Entrance Examination (Gaokao). At 16, I moved to Sewanee, a small college town in rural Appalachia with a population of only 3,000. Overshadowed by that curiosity was the collision of two worlds and my sense of belonging and identity. I wasn’t fully aware of how I watched and copied others’ behaviors and mannerisms to blend in as an adolescent. Being a minority in the middle of nowhere Tennessee meant I was conditioned into fitting …

Validity Of The Schrage Equation In Prediction Of Evaporation Rate Of Liquid N-Dodecane In High-Pressure Nitrogen Gas: A Molecular Dynamics Study, Wazih Tausif, Jordan Hartfield, Md Amin Haque, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Evaporation of liquid fuel in a high-pressure air is a process that critically influences fuel–air mixing in advanced propulsion systems. In this work, we use molecular dynamics (MD) simulations to study the validity and accuracy of the Schrage equation in quantifying the evaporation and condensation rates of n-dodecane (a diesel surrogate) in air (approximated as N2 gas) with gas pressure varying from 0 atm to above the critical pressure of n-dodecane. The MD simulation results show that the evaporation coefficient (αe) is higher than the condensation coefficient (αc) at the evaporating n-dodecane surface and is lower than αc at the …

Mechanisms Of Synergy Between Nanosecond Pulsed Electric Field (Nspef) And Cold Atmospheric Pressure Plasma Discharge (Cap) In Pancreatic Cancer: The Role Of Ros-Mediated Oxidative Stress And Apoptosis, Zobia Minhas

Biomedical Sciences Theses & Dissertations

Pancreatic ductal adenocarcinoma is a highly lethal malignancy characterized by poor prognosis and resistance to conventional therapies. Novel treatment strategies are needed to overcome this resistance. Non-thermal physical modalities, including nanosecond pulsed electric field (nsPEF) and cold atmospheric pressure plasma discharge (CAP), have emerged as potential anticancer approaches; however, the mechanisms underlying their combined effects remain unclear.

This study evaluated whether nsPEF enhances CAP-induced cytotoxicity and investigated the associated molecular mechanisms using the murine Pan02 pancreatic cancer cell line. Cell viability was assessed by WST-1 metabolic activity assays and electric cell–substrate impedance sensing (ECIS). Intracellular reactive oxygen species (ROS) were …

Climate-Adaptive Urban Arboretum: Designing Tree Diversity And Landscape Resilience Against Climate-Related Tree Diseases In Fargo, North Dakota, Rojin Ghafori Dehgolan

Landscape Architecture Theses

This thesis explores how climate change may influence the severity of Oak Wilt Disease and Dutch Elm Disease in Fargo, North Dakota, and how landscape design can respond to future urban forest health challenges. Urban trees are essential components of green landscapes because they provide shade, aesthetic value, ecological benefits, and social comfort. However, climate change is altering environmental conditions such as temperature, precipitation, soil moisture, humidity, drought, and flooding, all of which can influence plant disease development. This research focuses on two major tree diseases: Oak Wilt Disease, caused by Bretziella fagacearum, and Dutch Elm Disease, caused by …

Prairie Haven: Combating Urban Sprawl With Ecological Landscape Assemblage In Forest Lake, Minnesota, Ryan Anthony Calhoun

Landscape Architecture Theses

Contemporary residential developments frequently default to sprawl, creating fragmented environments that lack both environmental resilience and authentic human interconnection. This thesis explores how landscape architects can utilize Assemblage Theory to design residential developments where sustainable materials, ecological systems, and social elements dynamically assemble to create a meaningful, human-scaled sense-of-place. By synthesizing the structural planning efficiency of New Urbanism, the ecological imperatives of Landscape Urbanism, and the metrics-driven performance of Ecological Urbanism, this research develops a hybridized operational approach to residential development. Applied to a master plan in Forest Lake, Minnesota, the design for “Prairie Haven” demonstrates how treating a neighborhood …

Living Shorelines: A Regenerative Landscape Approach To Coastal Protection And Community Resilience In Bhasan Char, Bangladesh, Anamul Hoque Mojumder

Landscape Architecture Theses

Bhasan Char is a newly formed, unstable silt island in Bangladesh which is home for more than one million Rohingya refugees—an ethnic Muslim minority from Myanmar who have fled decades of systematic persecution and violence—suffering from an ecological and humanitarian crisis. This community faces extreme vulnerability from cyclones and sea-level rise on a landscape of profound precarity.

Traditional hard-engineered defenses are costly, ecologically damaging, and ineffective against the island’s dynamic geomorphology. This research proposes a regenerative "Living Shorelines" model, intersecting coastal resilience with refugee empowerment through Blue-Green Infrastructure. Drawing on successful global precedents in Vietnam and the USA, the study …

Border Patches: Reconnecting Ecology And Human Experiences At The U.S.-Mexico Border, Shima Goodarzi

Landscape Architecture Theses

International borders are among the most engineered and ecologically fragmented landscapes in the world. Along the U.S.-Mexico border, infrastructure systems such as walls, patrol roads, and cleared enforcement zones have disrupted wildlife movement, fragmented habitats, altered hydrological systems, and limited social interaction between neighboring communities.

This thesis develops a digital environmental twin framework to evaluate ecological and social connectivity within the San Diego-Tijuana border region. Using ArcGIS Pro and ArcGIS Urban, spatial datasets including land cover, habitat suitability, hydrology, circulation networks, and urban density were analyzed to identify areas with high ecological potential and opportunities for intervention.

The research informed …

Beyond The River's Edge: Reimagining Riverfront Parks And Landscapes For Stormwater, Flood Resilience, And Public Spaces In Fargo, Nd, Moumita Roy

Landscape Architecture Theses

Riverfront parks play an important role in managing stormwater, reducing flood risks, and improving ecological resilience in flood-prone cities. In Fargo, North Dakota, the Red River corridor functions as both a recreational landscape and a critical floodplain system, yet the stormwater and flood performance of these parks has not been systematically evaluated. This study developed a GIS- and hydrologic modeling–based framework to assess the landscape performance of Fargo’s riverfront parks and explore design strategies for more resilient public spaces. Using ArcGIS Pro, remote sensing, DEM analysis, field observations, and InfoWorks ICM simulations, the research identified runoff accumulation zones, flood-prone areas, …

At The Crossroads: Designing For Livability And Community Identity In An Era Of Rapid Suburban Growth In Rogers, Minnesota, Reagan Johnson

Landscape Architecture Theses

At the Crossroads explores how landscape architecture can guide suburban growth while strengthening livability, connectivity, and community identity in Rogers, Minnesota. As Rogers continues to expand within the Twin Cities metropolitan region, the city faces challenges associated with suburban sprawl such as limited pedestrian connectivity and the potential loss of local identity. This thesis focuses on a 128.4-acre site near the historic Fletcher crossroads and proposes a landscape-driven design approach organized around historic preservation, walkable public spaces, a parks and open space network, and mixed residential development. Inspired by Garrett Eckbo’s belief that community form results from community design, the …

Link To Home + Back: A Transit-Oriented Mixed-Use Bridge Between Neighborhood, Nature + The City Of Lynnwood, Wa, Rushell Paola Martinez Reyes

Landscape Architecture Theses

Link to Home + Back: A Transit-Oriented Bridge Between Neighborhood, Nature + The City of Lynnwood, WA. Is a project that seeks to help achieve a better connectivity in an area close to the City Center Station that is currently lacking connectivity in all aspects but, vehicular traffic. This is an important issue to resolve, since with a better connectivity and pedestrian and cyclist circulation the chances of people walking to and from the transit station to make use of it increase dramatically, which eventually helps reduce the pollution produced by vehicles. This research aims to study if transit-oriented development …

Green Space Behind Bars: Designing For Resident Wellbeing At The Heart River Correctional Center Near Mandan, Nd, Kaja Holtz

Landscape Architecture Theses

This design thesis reimagines the environment of the Heart River Correctional Center by transforming the outdoor space into a therapeutic space for resident wellbeing. The current environments of minimum security correctional centers in the United States, focuses heavily on security and control without the emphasis on rehabilitation and reentry. In response, the design introduces organic pathways for framed views and meandering, social areas to promote joyfulness and meditative spaces for reflection and healing. Along with other programs and integrating these specific therapeutic spaces, this project aims to shed light on an overlooked environment and design for wellbeing.

Forging Resiliency: Designing For Wildfire Defenses In The Pyrocene Age In Paradise, California, Rebecca Anne Heide

Landscape Architecture Theses

Wildfires are becoming larger, hotter, and more destructive. California has been strongly impacted by large-scale wildfire disasters, with a number of fires in recent history resulting in significant loss of life and infrastructure. The Camp Fire, which destroyed over 85% of the town of Paradise, California in 2018, is one such event. Landscape architecture is a discipline uniquely positioned to address wildfire disaster resilience. This project uses case studies and ArcGIS data to reimagine a 1,600-acre site directly East of the town of Paradise, California. By using a multi-layered wildfire management strategy that uses the principles of resist, co-create, and …

Resilient Placemaking: Enhancing Community Identity, Streetscapes, And Public Spaces In Beaver Dam, Wisconsin, Ellen R. Nampel

Landscape Architecture Theses

This thesis provides a plan to revitalize downtown Beaver Dam, Wisconsin, by improving its public spaces. While the downtown is currently stable, this research proactively addresses future risks like economic decline and the loss of local identity. By combining placemaking with urban resilience strategies, the study shows how better street designs can bring people together and support local businesses. The proposed design focuses on three goals: turning empty lots into flexible event spaces for community gatherings, making streets safer and easier to walk by reducing car dominance, and using local branding to celebrate the city’s history. These changes aim to …

Hydrologic Harmonies: Weaving Water Corridors Into Fargo's Park, Trail, And Open Space Network, Isaac Janssen

Landscape Architecture Theses

This thesis investigates how Fargo’s river corridors can be redesigned as connected, multi-functional public landscapes that strengthen community access, expand recreational opportunities, and support nature-based education. Although the Wild Rice and Red Rivers shape the city’s identity, decades of flood-control infrastructure and fragmented access have limited the public’s relationship with these waterways. As Fargo continues to grow and adapt to changing hydrologic conditions, the need for resilient, accessible, and educational riverfront spaces has become increasingly urgent.

Using a mixed-method approach that integrates literature review, precedent analysis, GIS-based site assessment, and iterative design exploration, this project develops a framework for reconnecting …