Digital Commons Network^™

Impact And Requirements Of Future Robots In The Urban Realm: Dubai Silicon Oasis Case Study, Abduljalil Abbasi

Theses

Robots are moving from factories and warehouses into the streets, sidewalks, and shared public spaces of cities, and Dubai Silicon Oasis (DSO) is at the forefront of this shift in the Gulf region. Through the Talabat ‘talabot’ autonomous delivery pilot, DSO has demonstrated that sidewalk robots can operate reliably in a hot-climate, mixed-use urban district, but this operational success has outpaced the governance frameworks, spatial design standards, and long-range planning foundations needed to scale deployment safely, inclusively, and sustainably to 2035. This thesis addresses that gap by asking how DSO can design and govern the integration of robots into its …

Hexahive: Simulating Vulnerability Bounty Economies Through Game-Theoretic Models, Lucille Blain

Theses

Bug bounty programs encourage security researchers to responsibly disclose software vulnerabilities by offering financial rewards, recognition, and opportunities to build long-term relationships with organizations. However, vulnerability discovery also creates competing incentives. A researcher may report a vulnerability through an official program, exploit it for passive income, trade information with other actors, delay disclosure, or seek compensation through alternative markets. These decisions are shaped by the expected value of rewards, perceived fairness of company responses, reputation benefits, competition, and the risk of penalties. Because directly observing these choices in real-world bug bounty programs presents ethical, legal, and practical challenges, controlled environments …

The Impact Of Pre-Trial Attitudes And Educational Jury Instructions : Juror Decision-Making In Mens Rea Cases Involving Mental Illness, Victoria E. O'Connell

Theses

Juror decision-making in cases involving mental illness is shaped by legal understanding and subjective attitudes. This study examined how juror attitudes and jury instruction type influence the application of mens rea defenses—Not Guilty by Reason of Insanity (NGRI), Diminished Capacity (DC), and Guilty but Mentally Ill (GBMI)—in criminal case vignettes involving defendants with mental health presentations. Enhanced jury instructions improved understanding of mens rea concepts but did not improve the application of these concepts to verdict decisions. Biases against mens rea defenses were associated with DC verdict decisions, with more negative NGRI attitudes predicting less legally accurate but more confident …

Transformation Of Public Earth Datasets For 3d Narrative Visualization Of Disaster Events, Connor Bleisch

Theses

Communicating large datasets in ways that are appealing to non-scientific audiences has been a recent focus of big data visualization. Interest has grown for using 3D environments with game-like structures and immersive technology like AR and VR since they are more engaging. We introduce a method, based on the structure of the datasets and domain knowledge of the natural phenomena, for transforming public National Aeronautics and Space Administration (NASA) Earth datasets into 3D narrative data visualizations, specifically of disaster events. Two visualizations were created using this method: one of the KNP Complex Wildfire in 2021 and one of Hurricane Beryl …

Optical Turbulence Estimation From Numerical Weather Prediction Models: Methods And Error Analysis, Richard Minor

Theses

Optical turbulence plays a critical role in electromagnetic wave propagation through the atmosphere, directly affecting imaging systems, wireless communications, and high-energy laser (HEL) performance. Realistic three-dimensional characterization of atmospheric turbulence is essential for understanding these impacts, particularly within the atmospheric surface layer, where turbulence is often strongest. The refractive index structure parameter, Cn2, is used to quantify optical turbulence. This thesis evaluates the capability of the High Resolution Rapid Refresh (HRRR) model to characterize surface layer Cn2. As the highest resolution and most frequently updated numerical weather prediction model covering the continental US, HRRR offers strong potential for operational HEL …

Intercomparison Of Remote Sensing Methods For Calculating Cn² Profiles, Isaiah Joseph Montgomery

Theses

Propagation of electromagnetic waves through the atmosphere is affected by turbulence. The impact of turbulence on wave propagation is characterized by the refractive index structure function (Cn²), which characterizes the intensity of fluctuations of the refractive index of air due to turbulence. Observations of vertical profiles of Cn² are essential for evaluating numerical model predictions. This study presents an intercomparison of Cn² derived from multiple ground-based remote sensing systems, including 915 MHz profiler, sodar, and a parameterized method that uses doppler wind lidar and radiometer. Results indicate that the sodar is the most accurate near- surface Cn² profiler, but above …

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 …

Uae Traditional Folklore Through Modern Media And Its Educational Potential: The Case Of Freej, Shahad Imad Mostafa

Theses

This mixed‑methods study examined how the Emirati animated series Freej preserves traditional folklore through vernacular language, dialect, and idiomatic expressions, and evaluated its educational potential. Guided by four questions on folklore representation, dialect/idiom use, the role of the characters, and curricular applicability, the research combined content analysis of selected episodes, interviews coding and a survey of 100 Emirati participants; survey data were summarized with descriptive statistics to triangulate qualitative insights.

Findings indicated that audiences overwhelmingly perceived Freej as linguistically and culturally authentic: 95% rated the dialect as very/somewhat authentic, 94% said it reflects elders’ speech, and 89% felt the series …

Cochlear Micropump Drug Delivery System: A Noninvasive Technique For Murine Intracochlear Drug Delivery, Janette Collins

Theses

In a 2018 World Health Organization (WHO) study, over 400 million people worldwide were affected by hearing loss (World Health Organization, 2023). Cochlear implants have provided a conventional route to aid inner ear issues but are ineffective either delivering to unintended targets or delivering unknown concentrations of a particular drug and create toxicity to the user. With medical advances and using 3-D printing technology, new opportunities to use programmable drug delivery systems to treat auditory disorders have been created. Borkholder Labs in Rochester, NY have created and improved a miniaturized implantable and scalable peristaltic micropump that provides programmable and accurate …

Predicting Student Academic Performance Using Behavioural And Parental Engagement Data From Learning Management Systems, Saeed Alfalasi

Theses

This paper explores how behavioral, academic, and parental engagement data provided within the xAPI-Edu-Data dataset can be used to predict the academic performance of students when training on machine learning models with supervised learning. Due to the developing demands of the data-driven initial selection of the learners under risk, the study will create a valid and explainable predictive model that can consider the most significant factors of student success in Learning Management System (LMS). The research is based on behavioral engagement and self-regulation learning theories; the observations included in the analysis of student interaction, i.e. resource usage, classroom engagement and …

Understanding Computer-Mediated Human Experience In Digital-Physical Hybrid Space, Jiangnan Xu

Theses

With the rapid development of mobile and immersive technologies, the boundary between the digital and real world is increasingly blurred, giving rise to hybrid spaces. Hybrid spaces have permeated daily life and reshaped spatial meaning-making and social interaction. Despite their growing prevalence, empirical understanding of human experiences in hybrid spaces remains limited. If left unexamined, hybrid spaces risk becoming technology-centered rather than human-centered environments that overlook socio-cultural dimensions, potentially leading to harmful consequences for individuals and society. To investigate human experience in hybrid spaces, this thesis comprises five studies and uses gameful systems as research probes. Prior literature identifies collaboration …

The Impact Of Artificial Intelligence And Technology On Online Learning In The Higher Education Sector, Afra Alqemzi

Theses

The integration of Artificial Intelligence (AI) and technology into education has become an inseparable part of online education transforming the landscape of the higher education, which has provided a chance to experience flexible learning patterns according to personal needs, individualized and optimized instruction strategies and more effective and purposeful student involvement. Knowing how such technologies evolve in institutions with increasing implementation of AI-driven platforms is therefore critical to strategic and long-term planning. This paper aims at examining the effects of AI in the advancement of online learning in higher education, including the following aspects; improvements of outcomes, compliance with the …

Evaluating Datasets And Models For Offensive Language Identification, Skye Deson Morgan

Theses

Social media platforms enable people to easily communicate with one another, share ideas and express their opinions. Unfortunately, the anonymity provided by platforms such as Twitter and Facebook is more than enough to foster the spread of harmful content. Government agencies, as well as technology companies, are actively working towards finding better means of curbing offensive and objectionable content in social media and contributing to a more welcoming online environment. In this study, I first present a critical literature review on offensive language identification, exploring offensive language datasets and computational models using both machine learning and deep learning. Next, I …

A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector, Terry Asante

Theses

The warehousing industry in New Jersey remains a vital component of the region's logistics network, employing more than 200,000 workers who routinely engage in lifting, bending, overhead reaching, and other physically demanding activities. These exposures contribute to musculoskeletal disorder (MSD) rates that exceed national averages, particularly affecting the low back and shoulders. Nationally, MSDs account for an estimated $420 billion in combined direct and indirect costs each year, underscoring the need for interventions that can effectively reduce biomechanical strain. Industrial exoskeletons have emerged as a potential solution, with prior research demonstrating reductions in muscle activation, perceived exertion, and fatigue during …

Simulation-Based Assessment Of Operational Strategies For Visibility-Responsive Variable Speed Limits, Jiyeon Ban

Theses

Managing speed limits in adverse weather is crucial for highway safety. Variable Speed Limit systems aim to adjust speed limits according to weather conditions, yet many traffic management centers depend on manual operator judgment. Rapid visibility fluctuations, along with operators handling multiple responsibilities, can cause delays in responding to deteriorating conditions, increasing the risk of rear-end collisions. A VSL control strategy is developed using real-time Road Weather Information System data to enable more proactive and effective adjustments. Microsimulation analysis indicates that visibility-responsive VSL operations can reduce conflicts by 59% in fog. Applying VSL only to fog-affected sections yields clear safety …

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 …

Heathammer: Effects Of Thermal Stress On Dram Technology Reliability Using Rowpress And Rowhammer, Filip Roth Tronnes-Christensen

Theses

Modern DRAM scaling has reduced cell capacitance and increased thermal sensitivity, making disturbance-based faults such as RowHammer and RowPress increasingly significant reliability and security concerns. RowHammer induces bit flips through repeated row activations, while RowPress does so by holding a wordline open for an extended duration; both exploit inherent capacitive coupling and leakage mechanisms in dense DRAM arrays. This thesis introduces HeatHammer, a thermally assisted disturbance exploit that interleaves RowPress and RowHammer operations to amplify charge leakage and trigger row-traversing bit flips. Using the FPGA-based DRAM-Bender test platform, HeatHammer is evaluated on four commercially available DDR4 modules from different manufacturers …

Optimizing Crime Response Time Using Predictive Analytics Models, Mohammad Hassan Bin Yaqoob

Theses

Timely and efficient emergency response is essential for public safety, particularly in high- risk urban environments. However, existing dispatch systems often rely on reactive decision- making, leading to delays and inefficient resource allocation. This thesis explores how artificial intelligence (AI) and data modeling can enhance police response times through predictive analytics. A systematic review of 17 peer-reviewed studies identified key predictors such as dispatch behavior, crime history, temporal characteristics, and geographic location. Using real-world emergency response and crime data, predictive models were developed and evaluated through algorithms including XGBoost, Linear Support Vector Machine (LSVM), Generalized Linear Model (GLM), and Neural …

A Fish & A Bird, Deanna Moorehead

Theses

As a curtain of trees opens and dawn breaks over the glistening waters of Lake Ontario, a fish and a bird spot each other through the surface and fall madly in love. They dance and sing together from their respective atmospheres, yet each time the bird soars past the water's edge and onto the beach, the fish cannot follow. Night after night, by the light of the moon, the fish trains herself to leap out of the water, hoping to breach high enough to join her beau above. Late one afternoon, the fish approaches the shore, where the bird stands …

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.

Cosmic Legends, Neha Ravindra Hiremath

Theses

Cosmic Legends is a touchscreen-based interactive kiosk that invites users to explore how different cultures interpret the same star—Betelgeuse. Designed for public educational settings, it blends visual storytelling, mythology, and voice interaction into a cohesive learning experience. This project challenges the Eurocentric approach of most astronomy tools by introducing global narratives rooted in Navajo, Tupi, and Japanese sky traditions. Users begin by tapping a glowing version of Betelgeuse, which transforms the night sky into a new cultural context. Each sky shift is paired with narrated myths, synchronized captions, and celestial motion design. The interface prioritizes accessibility with dyslexia-friendly text, high-contrast …

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 …

Disposal, Yihan Su

Theses

Disposal is a mixed-media animated short film created as a graduate thesis project. The story explores the protagonist’s search for meaning in life and his defiance of a predetermined fate. At the beginning, he is an ordinary, guileless figure without remarkable qualities. In his world, life revolves around constant competition, and one’s worth is measured by their position on a ranking board. Only the top three may pass through the golden gate, a symbol of transcendence. Others must continue the endless cycle of contests, while the lowest seven face incineration in the Disposal. Despite his efforts, the protagonist falls into …

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 …

Forecast: A Helmet Visor Hud, Qigao Zhong

Theses

High-performance track-day driving requires drivers to maintain situational awareness while operating vehicles at high speeds. During these conditions, drivers must continuously monitor track signals, surrounding vehicles, and changing hazards while maintaining precise vehicle control. Missed or delayed recognition of critical information can increase safety risks and disrupt traffic flow on the racetrack. This thesis explores the design of a helmet-mounted visor head-up display (HUD) intended to support experienced track-day drivers by selectively presenting critical information in real time. The system prioritizes contextually relevant alerts and minimizes visual distraction through a simplified visual hierarchy. Hazards are categorized by severity and communicated …

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 …

Catherine, Reagan Christie

Theses

A golden lamb sleeps peacefully in a quiet meadow, showcased in an intricate golden frame. She wakes up and slowly begins to stand, her knobby knees trembling all the way up. She steadies herself, turning toward the viewer, blinking. Catherine looks at her reflection in a grimy sink full of water. The sink drips, reflection dissipating. She looks up into the mirror above the sink in an endless bathroom, tucks a loose curl of hair back into her habit, and exits the bathroom. Catherine makes her way down a long spiral staircase, humming a hymn to herself. In the kitchen, …

The Impact Of Screen Time Patterns On Digital Behaviour And Productivity: A Data Analytics Study Across Age Groups, Maytha Alshamsi

Theses

The increasing incidence of screen time of all ages has generated a greater interest in the effect of screens on the human psyche. This paper looks at behavioural data of 2, 000 individuals aged 13-64 to investigate the predictability of a composite mental- health score by various modalities of screen-time, lifestyle and psychological charac- teristics. We determine, based on exploratory statistics, multivariate regression and su- pervised machine-learned models, that in as much as the influence of total screen time and social-media consumption has significant relationships with worse mental health, the effects are small when juxtaposed to those of lifestyle and …

An Educational Approach To Mitigating Stormwater Debris Pollution In The Great Lakes Basin, Autumn Potts

Theses

Accumulation of anthropogenic debris (AD) in the environment, especially plastic, is a pervasive issue that impacts human communities and ecosystems worldwide. Since AD pollution at every scale stems from human activities, its mitigation is contingent on analyzing and modifying the scale-dependent drivers of human behavior surrounding this issue. Although the underlying mechanisms driving litter input and accumulation are not well understood, these patterns suggest a need for hyperlocal solutions. Because environmental education (EE) fosters a significant influence on environmental knowledge, attitudes, and behaviors, it can play an important role in the mitigation of debris input and littering behavior. One method …