Digital Commons Network^™

Selling The City: A Qualitative Study On The Image Construction Of Times Square Through Its Media Environment, Sheetal Pandey

Theses

As a globally recognized symbol of indulgent consumerism and urban spectacle, the media environment of New York City’s Times Square plays a pivotal role in constructing its iconic image. This qualitative study uses a media ecology framework to analyze how Times Square’s digital displays, interactive installations, and live performances create an immersive experience that informs one’s image of it. Through participant observation and visual content analysis, this study examines how visitors interact with Times Square’s media landscape and identifies recurring media-driven themes. Observations reveal that Times Square’s media ecosystem invites constant public interaction, actively engaging visitors in a feedback loop …

Social Media Intelligence: Responding To Crime And Violence In The Digital World, Chloe Lynn Sitton

Theses

The integration of social media into everyday life has transformed how crime is committed, communicated, and investigated. This capstone project examines the emerging field of social media intelligence and its growing influence on modern policing, surveillance, and the community. Drawing from sociological theory, law enforcement practice, legal analysis, and community-based research, this project offers a far-reaching interdisciplinary view of how social media is shaping crime and justice in the United States.

Undeserving And Underserved: Violence Victims And Society, Venita Monet C. D'Angelo

Theses

This capstone includes three papers that explore how structural disadvantage, place-based dynamics, and institutional responses shape the experiences of individuals and communities. The first paper focuses on the relationship between concentrated disadvantage, micro-places, and individual outcomes. It shows how crime is not randomly distributed but clusters in specific locations within disadvantaged neighborhoods. Drawing on theories of social disorganization and cumulative disadvantage, the paper explains how neighborhood and micro-place conditions intersect to shape long-term risks and outcomes for residents. The second paper analyzes a community-based intervention designed to reduce recidivism and revictimization. The evaluation considers the program’s design, goals, and limitations, …

Assessment Of Food Allergy Management And Interactions With Campus Dining Halls Among College Students At Rochester Institute Of Technology, Meghan Taylor

Theses

Objective: This study explored college student dining experiences to identify areas for improving Dining Service allergen management. Method: A cross-sectional survey assessed specific allergies, frequency of allergic reactions, confidence and satisfaction with Dining Services, epinephrine auto-injector use, challenges, suggestions and use of dietitian services. Analyses included quantitative and qualitative methods. Results: Of 74 survey respondents, 28 were eligible, with 61% reporting two or more allergies (mean 2.4 ± 2.0). Tree nuts, peanuts, and milk were most common. Students with multiple allergies were more likely to carry epinephrine auto-injectors (p=0.015), though overall adherence was low. Concerns included cross-contact, inconsistent allergen labeling, …

Analysis Of Team Size Effects On Technical Debt And Code Quality For Open Source Projects, Tyler Borrelli

Theses

Little research has been done to analyze the relationships between the amount of Technical Debt in an open source software project and the number of developers. This study seeks to identify the effects that team size and number of contributors have on Technical Debt and overall software quality. The results of the study observed after accounting for effects from code size that there was a negative correlation for issues with software quality, for example code smells or complexity, and the number of authors on a per file basis. This suggests that increasing the developer count most likely will not negatively …

Policing And Media: Past, Present, And Future, Mark Deratzou

Theses

This paper examines the historical relationship between policing and media, with a focus on how media has influenced policing within the United States. It begins by examining portrayals of policing in print and broadcast media, as well as major historical events, before discussing how media influences public perceptions of police. The paper then transitions to an examination of social media, focusing on how these platforms shape perceptions of police and how they are used by the public in relation to policing. The paper then concludes with a discussion of policing and media-related policies and reforms, as well as considerations for …

Understanding The Effectiveness Of State Teaching Licensing For Deaf Instructors, Andrew Knox

Theses

This capstone research examines the systemic barriers that Deaf and Hard of Hearing (DHH) individuals face when pursuing state teaching licensure in the United States. Despite the growing need for Deaf educators, the current licensure process often marginalizes Deaf candidates by failing to provide adequate accommodations and relying heavily on standardized, English-based exams that disproportionately disadvantage non-hearing individuals. Using a mixed-methods approach that incorporates anonymous surveys of candidates’ experiences and a review of policy documents, this study uncovers key institutional biases and explores alternative pathways to licensure. These alternatives include performance-based assessments and innovative solutions such as video-based evaluations and …

Predicting Students At Risk Of Dropping Out In The College Of Medicine At Mohammed Bin Rashid University Of Medicine And Health Sciences. A Machine Learning Approach To Understand Attrition Factors Over The Past Seven Years, Moza Sulaiman Al-Zaabi

Theses

This master’s thesis investigates student attrition within the College of Medicine at Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) by applying the CRISP-DM methodology to analyse a dataset of 19 variables and around 2,000 records from Student Admission and Academic Performance sources. Although the dataset was relatively small, several machine learning models were developed to predict students at risk of dropping out, including Logistic Regression, Decision Trees, Support Vector Machines (SVM), and Artificial Neural Networks (ANN). Of these models, the ANN model, particularly when combined with Principal Component Analysis (PCA), achieved the highest performance with an accuracy …

Designing An Interactive System For Early Social Learning: Leveraging Emotion Recognition And Real-Time Feedback To Foster Early Childhood Emotional Mirroring And Social Skill Development, Yue Gu

Theses

For young children, traditional educational methods often rely too heavily on the caregiver's own time and energy as well as social attributes. There is currently no product on the market that mirrors emotions and provides real-time feedback on personality drawings that can simultaneously stimulate young children's recognition of facial emotions, understand and mimic expressions, and promote their social development. The purpose of this thesis is to design an interactive system to enhance early social learning in young children through emotion recognition and real-time feedback. The system utilizes a digital device's camera for emotion detection to detect children's facial expressions. It …

Greenmind: A Climate-Positive News Portal, Surabhi Singh

Theses

Greenmind is a website that promotes positive climate narratives for environmentally conscious individuals seeking hope and actionable solutions. It redefines how we approach climate change narratives by focusing on hope and progress. Unlike traditional media that often rely on fear to grab attention, Greenmind delivers stories showcasing actionable solutions and positive impacts already happening across the globe. Its core mission is to empower individuals to see themselves as agents of change, fostering collective action rather than promoting fear as a tactic for change. Greenmind’s approach to climate narratives is supported by research emphasizing the power of positive storytelling. Studies from …

Evaluation Of A Token Reinforcement System For Assignment Completion In Students With Educational Disabilities, Brandon O'Dell

Theses

Token reinforcement systems are an effective tool in applied behavior analysis. Studies as early as the 1960s and 70s have demonstrated the effectiveness of token economy from addressing the behaviors of psychiatric patients (e.g., Allyon & Azrin, 1965) to supporting the academic achievement of students in school settings (e.g., McLaughlin & Malaby, 1972) Most recently, Espinoza and Hackenberg (2024) discussed the history and effectiveness of token reinforcement, while providing practical recommendations for its application. The current study aimed to implement a token reinforcement system to increase assignment completion and accuracy in three eighth-grade students with various medical and educational diagnoses …

Wildflowers A Novel, Kelli Roberts

Theses

Abstract for Wildflowers

Wildflowers is a feminist literary novel that examines the intersection of sex, power, and free will, exploring how these forces shape and define human agency. The story follows a group of women drawn to an enigmatic leader who promises enlightenment and empowerment through embracing their desires. As they navigate the fine line between self-actualization and manipulation, the novel delves into themes of liberation, coercion, and the choices we make to create the lives we long for. Provocative and thought-provoking, Wildflowers invites readers to consider the complexities of desire, the cost of empowerment, and the courage required to …

Comparative Analysis Of Artificial Intelligence And Statistical Models For Li-Ion Battery Cells State Estimation In Electric Vehicles, Rasha H.A. Tabasha

Theses

This graduate paper presents a comparative study of statistical modeling and Artificial Intelligence (AI) approaches for estimating essential parameters of lithium-ion (Li-ion) batteries in electric vehicles (EVs). The key parameters estimated in this study are voltage, current, and temperature of Li-ion battery cells in EVs. A precise state estimation is required to ensure safety operation, to optimize the Battery Management System (BMS), and to enhance the battery life. Variations in EVs batteries parameters may occur due to different reasons such as sensor faults or attacks. As a result, obtaining an accurate estimation is essential to maintain EV battery efficiency. Using …

How Leadership Styles Impact Lgbtq+ Civil Rights, Milo Thompson

Theses

Leaders rely on different leadership styles to legitimize their rule and obtain political power. However, these leadership styles have positive or negative impacts for protecting human rights in the LGBTQ+ community. This thesis examines how political leadership styles impact protecting or repressing the civil rights of the LGBTQ+ community. This article argues that constitutionalist leaders who abide by the “rule of law” will better protect LGBTQ+ civil rights than personalist, ideological, or performative leadership styles. Drawing on both qualitative and quantitative research methods, this paper examines how leadership styles impact LGBTQ+ discrimination.

Assessment Tools In Verbal Behavior Research: A Systematic Review Of The Literature, Danielle Pisarek

Theses

Assessment tools are an essential component of applied behavior analysis (ABA), offering important information to assist in the design of intervention strategies for individuals with developmental disabilities, including autism spectrum disorder (ASD). Previous research has studied the validity, consistency, and effectiveness of some of these tools, with studies such as Dixon et al. (2017), Padilla and Akers (2021), Stewart et al. (2010), and Usry et al. (2017) providing insights into their attributes, shortcomings, and relevance. However, publications focusing on the use of these tools within behavior analytical research are lacking. This systematic literature review (SLR) aimed to identify and analyze …

Evaluation Of An Instructional Sequence To Promote The Emergence Of Convergent Intraverbals In Children With Autism, Jesika Woodard

Theses

Skinner (1957) defined intraverbal as a type of verbal behavior in which the

response form has no point-to-point correspondence with its verbal stimulus and is

followed by generalized conditioned reinforcement. Verbal behavior can be influenced

by multiple controlling variables, with convergent and divergent control being two

distinct types of this influence. In convergent intraverbals, multiple components of

antecedent verbal stimuli control a specific verbal response of the speaker. An example of

an intraverbal response under convergent control may be "banana" when asked, "What is

a fruit that is yellow?" De Souza et al. (2019) evaluated the effects of teaching …

Predicting Newborn Low Birth Weight: A Machine Learning Approach Using Maternal Health And Demographic Data, Rayan Elsayed

Theses

Low birth weight (LBW), defined by the World Health Organization as a birth weight under 2500 grams, remains a major global health challenge due to its association with increased risks for adverse neonatal and long-term health outcomes. This study aims to identify maternal health factors that contribute to LBW and to develop predictive models to support early identification of at-risk pregnancies. Two machine learning models, Logistic Regression (LR) and Random Forest (RF), were developed to analyze the relationship between maternal factors and LBW outcomes. The RF model achieved an accuracy of 96.36%, demonstrating robust predictive performance across metrics, making it …

Utilizing Machine Learning For Categorizing Disaster-Related Tweets, Ahmad Alfalasi

Theses

This study presents the development of a machine-learning model that recognizes tweets about disasters in real-time. The fast-paced development of social media, especially Twitter, has drastically changed the field of news transmission during crises. This change creates new challenges for the management of the volume, velocity, and veracity of data that are generated in such situations. The present tools do not have the capabilities of real-time processing of the huge volume of data; hence, new solutions are required. The model we are proposing addresses this problem by using advanced machine learning methods, such as natural language processing, to filter and …

Shape Between Intimacy, Mackenzie Serwa

Theses

This thesis examines the parallel exploration of raw tactile materials and relationships to develop a personal dialogue of intimacy. It breaks down the materiality of glass, clay, and the impulse of collecting, aiming to communicate the human connections shared between each. By engaging with materials in this way, this study aims to foster a deeper understanding of the existence, influence, and expression of intimate relationships.

Mitigating Network Congestion In High-Density Areas Through Advanced Distributed Antenna Systems, Amal Abdulrahman Albeshr

Theses

This dissertation investigates the optimization of Distributed Antenna Systems (DAS) to address network performance challenges, enhance user satisfaction, and improve operational efficiencies in high-density environments. The study explores the integration of DAS with smart city infrastructure to support modern urban needs, such as real-time monitoring and IoT device connectivity. Set against the backdrop of growing urbanization and increasing demand for reliable connectivity, this research provides a comprehensive analysis of DAS as a transformative solution for telecommunications and smart city applications. The primary research question guiding this study was: How can Distributed Antenna Systems (DAS) be optimized to enhance network performance …

Parametric Analysis Of Wire Arc Additively Manufactured Low-Carbon Steel Using Response Surface Methodology, Mirzagha Halilov

Theses

As the manufacturing sector continues on its path towards sustainability, additive manufacturing (AM) remains as one of its most promising streams, aiming to reduce material waste while also allowing for increased design complexity. In the extensive area of metal 3D printing, one method that is steadily gaining traction is wire-arc additive manufacturing (WAAM). This method of AM utilizes the energy created by an electric arc formed between a continuous consumable metal wire and a metal base, fusing the two together and ultimately creating a 3D component layer by layer. WAAM has several notable advantages over other metal 3D printing methods …

Recruitment Sources Of Grass Carp (Ctenopharyngodon Idella) In The Great Lakes, Nicholas Steven Etter

Theses

Grass Carp (Ctenopharyngodon idella) is a species of concern in areas they have invaded, such the Laurentian Great Lakes, due to their potential to substantially reduce aquatic macrophyte coverage. Efforts to control Grass Carp in the Great Lakes have primarily been focused on two tributaries to the western basin of Lake Erie (i.e., Sandusky and Maumee rivers, Ohio) where reproduction has been documented, although other Great Lakes tributaries are known to have thermal and hydrological regimes suitable for Grass Carp spawning. Knowledge of sources contributing to the expanding population of invasive Grass Carp in the Great Lakes is key to …

Recast, Reform, Reshape: Surreal Figurative Painting, Keely Wu

Theses

This thesis explores the use of surreal imagery and the reimagining of historical subjects as a means to discuss complex ideas of identity. In this exploration, I chose to use the human figure as a vessel for expressing my own intimate viewpoints and experiences. Through a series of paintings, I investigate how the juxtaposition of human forms with non-human elements challenges conventional notions of gender and sexuality to empower marginalized perspectives. My Master’s degree started with my transition from commercial illustration to fine art. The study examines my evolution of thematic and stylistic choices, emphasizing the creation of new works …

Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

This thesis addresses the increasing issue of fraud resulting from technological advancements affecting both customers and fraudsters, while law enforcement agencies face challenges of inadequate case prioritization; data overload and slow investigative analysis. The central objective of this thesis revolves around strategies to counter these challenges, emphasizing the urgency of rapid response to major alert cases that can lead to widespread impacts. The authors' experience in financial fraud detection and credit card crime investigation within the police department has inspired this research, guiding the approach toward practical solutions for everyday operational challenges. The significance of this thesis lies in its …

An Automated Approach To Detect Cyber Threats With Smart Contracts In Blockchain Systems., Alia Mohammad Ahli

Theses

Blockchain is becoming one of the main components of the modern world due to its rapid development. Considering its main characteristics as a collaborative distributed database that provides transparency and scalability, blockchain development and application have grown dramatically over the past decade. While the blockchain is a key feature and is used in the industry, it is subject to many risk factors and attacks. Advanced technologies that can successfully detect and mitigate vulnerabilities must be developed for solving these security challenges. This thesis presents the development of a machine learning based approach to discover vulnerabilities in blockchain-based systems. It begins …

Analyzing The Effects Of Economic Factors On Residential Real Estate Market Dynamics Of Dubai: Using Machine Learning Methods, Zarrina Shokirova

Theses

Dubai’s residential real estate market is known for its rapid growth and dynamic nature, making it an intriguing subject for analyzing the impact of various economic factors. This thesis examines how key economic elements such as GDP growth, inflation rates, and foreign investment influence property dynamics in Dubai. By synthesizing current research, this study aims to understand how these economic conditions affect real estate values, demand, and supply. Additionally, modern analytical methods, including decision trees, logistic regression, and random forest models, are employed to predict market trends and uncover significant patterns. This research contributes to both academic understanding and practical …

The Tale Of Mari, Anya Vaughn

Theses

The Tale of Mari is a mixed media animated documentary which follows the life of Mari Arakaki Gaskins. Shortly after moving to America in the 1970s, Mari began illustrating comic strips about a Japanese family, emulating the cartoons she saw in newspapers. She sent a letter to the creator of Garfield, Jim Davis, and included her comics. Davis sent her a response, and told her that her artwork was good. However, he believed that the strips were unlikely to be published, because comics about a young Japanese girl would not be relatable to American audiences. Mari grew up during a …

Investigating The Effect Of Active Living Wall On Indoor Air Quality And Energy Consumption: Case Study In Uaeu Closed Offices, Atina Mohsen Ghunaim

Theses

Extreme hot climates can significantly affect Indoor Air Quality (IAQ) and ventilation, resulting in higher energy demands. Numerous studies have demonstrated that outdoor greening, such as trees and landscaped areas, can reduce a building’s energy consumption. However, less research has been conducted on the impact of indoor vegetation on energy use and air quality. Indoor vegetation decreases Carbon Dioxide (CO₂) concentration by absorbing CO₂ and releasing oxygen (O₂), while the evapotranspiration process further enhances (IAQ) and reduces energy expenditure. The United Arab Emirates has dry arid climate and summers with high humidity levels, causing individuals to stay longer indoors, which …

Barriers To The Adoption Of Cross Laminated Timber For Mid-Rise Residential Buildings In Uae, Sabika Nasrim Pilathottathil

Theses

Buildings consume about 40% of the total annual energy produced globally, with significant energy usage across different life cycle stages, including construction and operational phases. The energy associated with the construction of buildings is substantial due to the energy required for the manufacture of materials and products. This underscores the need for stakeholders in the building industry to find construction materials and systems with low embodied energy. In the pursuit of low-energy materials, massive timber products, such as cross-laminated timber (CLT), are gaining popularity in mid-rise buildings around the world. The development of CLT, which boasts excellent load-carrying capabilities, has …

Optimizing Small Business Success Through An Online Fashion Consulting Infographic Guide, Nicole Campbell

Theses

The project aims to challenge traditional thinking within the fashion industry, paving the way for the creation of a thriving consulting business. In addition, it will underscore the significance of developing a strong online profile for fashion consultants, symbolizing the birth of the Consult the Soul brand. Through this initiative, the project aspires to revolutionize the realm of fashion consulting by fusing unique tactics with ethical standards. By encouraging a fresh perspective and emphasizing the importance of embracing digital platforms, the project sets out to redefine the standards of success within the industry. Ultimately, this venture seeks to establish a …