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Full-Text Articles in Entire DC Network
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Theses
The decisions of the Supreme Court of the United States, along with its reasoning, influence the direction and scope of historical events. Through an analysis of landmark dissents from four of the worst Supreme Court decisions, Curtis’ dissent in Dred Scott v. Sandford (1857), Harlan’s dissent in Plessy v. Ferguson (1896), Holmes’ dissent in Abrams v. United States (1919), and Murphy’s dissent in Korematsu v. United States (1944), we can take steps towards catalyzing its self repair by stepping away from digital echo chambers and engaging in legitimate dissent. The four cases marked turning points in the efforts to protect …
Uvm Based Verification Of Ee621 Risc Processor Module, Collin Neidel
Uvm Based Verification Of Ee621 Risc Processor Module, Collin Neidel
Theses
In the process of digital design, the majority of efforts are focused on verification. This is because a proper verification environment can help engineers discover bugs that otherwise would have flown under the radar. On the other hand, a poorly designed verification environment could fail to fully confirm the device’s functionality and leave the customer with a buggy mess. For obvious reasons, this should be avoided at all costs, hence the emphasis on functional verification and validation efforts. Throughout time, the complexity of the average design under test (DUT) has increased dramatically, making verification a significant challenge for today’s verification …
A Bert-Resnet Cross-Attention Fusion Network And Modality Utilization Assessment For Multimodal Sentiment Classification, Ronen G. Gold
A Bert-Resnet Cross-Attention Fusion Network And Modality Utilization Assessment For Multimodal Sentiment Classification, Ronen G. Gold
Theses
This study explores the growing field of Multimodal Sentiment Analysis (MSA), focusing on understanding how advanced fusion techniques can improve sentiment prediction in social media contexts. As platforms like X and TikTok continue to expand and facilitate sharing sentiment through digital media, there is an increasing need for neural network architectures that can accurately interpret sentiment across modalities. We implement a model using BERT for textual features and ResNet for visual features. A cross-attention fusion module aligns the modalities for joint representation. We conduct experiments on the MVSA-Single and MVSA-Multiple datasets, which contain over 5,000 and 17,000 labeled text-image pairs. …
Investigating The Relationship Between Cellular Senescence And Pulmonary Fibrosis, Crystal Lee
Investigating The Relationship Between Cellular Senescence And Pulmonary Fibrosis, Crystal Lee
Theses
This study investigates the complex relationship between cellular senescence, aging, and pulmonary fibrosis through a comprehensive analysis of bulk RNA-seq data from patients with idiopathic pulmonary fibrosis (IPF), chronic obstructive pulmonary disease (COPD), and scleroderma. Using differential expression (DE) and age-associated differential expression (AADE) analyses, we revealed a paradoxical pattern: senescence-related gene sets were significantly downregulated in disease comparisons but progressively upregulated with aging within these same diseases. Gene set enrichment analysis (GSEA) revealed that gene sets associated with DNA damage/telomere stress and oxidative stress were among the most enriched senescence inducers in fibrotic disease states, while cellular senescence and …
Beyond The Badge: Predicting Military Employee Attrition In The Police Force, Alia Abdulla Alhajji
Beyond The Badge: Predicting Military Employee Attrition In The Police Force, Alia Abdulla Alhajji
Theses
This study explores the issue of employee attrition within the military police force, with a focus on predicting which employees are at risk of leaving. Attrition in law enforcement is costly and disruptive, especially in roles that require long training periods and operational readiness. The research specifically targets the internal organizational factors influencing turnover in military police environments and aims to leverage machine learning models to support the early identification of high-risk individuals. Guided by the CRISP-DM framework, the study followed a structured process across six stages: business understanding, data exploration, preparation, modeling, evaluation, and insight generation. A simulated dataset …
Under The Mask: Labeling And Self-Perception In Augmented Reality, Ruiyuan Guo
Under The Mask: Labeling And Self-Perception In Augmented Reality, Ruiyuan Guo
Theses
Under the Mask is a speculative AR experience that critically explores how social labels shape both perception and self-perception in everyday life. The project reimagines augmented reality not as a technological novelty, but as a conceptual mirror—a way to visualize how identity is continuously negotiated in social space. Users interact with two distinct labeling functions: when they assign a tag to themselves, it becomes visible to everyone, symbolizing the ways in which self-identification enters public discourse. In contrast, when users label others, those tags remain private—visible only to the individual user—highlighting how our assumptions primarily influence our own vision, not …
Bodies Unseen: Hysteria’S Stain On Women’S Healthcare, Layla Dehrab
Bodies Unseen: Hysteria’S Stain On Women’S Healthcare, Layla Dehrab
Theses
Bodies Unseen is a 5-minute motion graphics piece accompanied by a 12-page zine that explores the historical and ongoing dismissal of women’s pain within the medical system, rooted in the legacy of hysteria. Through the fictionalized stories of Ada, Rosa, and Mabel-women from different time periods who face misdiagnosis and neglect, the project illustrates the persistent gender bias in healthcare. Drawing from historical records, feminist theory, and contemporary research on medical inequity, this work connects past injustices to modern-day disparities in diagnosis and treatment. The animation and zine work in tandem to educate viewers and encourage dialogue about the systemic …
What’S Coco Eating Today: Using Fragmented Time To Reduce Stress, Yaxuan Wang
What’S Coco Eating Today: Using Fragmented Time To Reduce Stress, Yaxuan Wang
Theses
In modern society, electronic mobile devices have become an integral part of life and entertainment. From a developmental perspective, the abundance of virtual content has brought significant changes in emotional, cognitive, and social aspects. On this background, the rise of the gaming industry has made 'digital games' a common form of entertainment. As games become a normalized part of daily life, the variety of game types has expanded greatly. This led me to consider: through interaction design and using games as a medium, is it possible to reduce users' stress in a short time and provide positive emotional feedback? Based …
Ai Emotional Companion App, Ruyi Liu
Ai Emotional Companion App, Ruyi Liu
Theses
"Lumi" is an AI emotional companion app designed to provide personalized, immersive, and emotionally supportive experiences. The project explores how customizable virtual characters can fulfill the growing emotional and social needs of users through multimodal interaction, intimacy-building systems, and gamified engagement. By combining user interviews, competitive analysis, and iterative prototyping, this thesis investigates how design strategies can strengthen the user’s emotional bond with an AI character. The final product presents a flexible platform where users can create unique AI companions, interact in diverse ways, and develop lasting emotional connections. This work contributes to the field of emotional UX and digital …
Instrapix – An Image-Based Digital Audio Workstation Design, Dan Qiao
Instrapix – An Image-Based Digital Audio Workstation Design, Dan Qiao
Theses
InstraPix, a UI project designed by Dan Qiao, is groundbreaking image-and-audio conversion software and a digital audio workstation (DAW). enables bidirectional conversion between images and sound, opening new creative possibilities. With powerful image processing tools, it allows users to directly use pictures as audio sources, shaping unique sonic compositions. InstraPix also supports sound presets, VST plugins, and note editing, allowing seamless integration with other instruments. This all-in-one audio workstation could mark the beginning of a new era where music can be created entirely from images. Assigning images significant importance in audio production and minimizing the middle steps, it breaks the …
Sales Opportunities Lead Qualification In B2b Market, Hajar Hussain Ahli
Sales Opportunities Lead Qualification In B2b Market, Hajar Hussain Ahli
Theses
This thesis addresses the challenge of inefficient lead qualification in the business-to-business (B2B) market by applying machine learning techniques to predict the likelihood of winning a sales opportunity. Using a real-world dataset of over 78,000 records and 17 variables, the study aims to improve how sales teams identify and prioritize high-conversion leads. A thorough data preparation process was conducted, including handling of missing values, outlier detection, and under-sampling to resolve class imbalance between won and lost opportunities. After thorough data cleaning, preprocessing, and under-sampling to address class imbalance, five machine learning models were developed: Logistic Regression, Random Forest, Neural Network, …
Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov
Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov
Theses
In contemporary artificial intelligence (AI) appli- cations, Machine Learning (ML) models are core components enabling AI-driven functionalities, yet selecting and fine-tuning a model and its hyperparameters remains challenging. ML model architecture, as well as key model training parameters, such as the number of training epochs, batch size, and learning rate, are highly dependent on both the dataset modalities and the specific task resolved in a particular application. More sophisticated execution setups may require determination of additional environment-related parameters, such as identifica- tion of computational capabilities required for execution of a particular AI-driven task, or discovery and establishment of desired security-related …
Predicting The Probability Of Crime Related Danger In Los Angeles, Joshua Oghenetega Okpako
Predicting The Probability Of Crime Related Danger In Los Angeles, Joshua Oghenetega Okpako
Theses
This thesis examines the use of advanced machine learning to predict crime danger in Los Angeles, where 2023 violent crime rates (503 per 100,000) surpass the national average (363.8 per 100,000). Rooted in theories like social disorganization and victim vulnerability, it addresses the lack of combined victim-centric modeling by focusing on three questions: (1) Do blended ensemble models outperform individual models in predicting crime danger? (2) Can unsupervised learning techniques enhance supervised models’ accuracy through label generation or augmentation? (3) How can we interpret accurate machine learning models' decision-making processes? Using historical crime data from Los Angeles (2020–2025) and various …
Ai-Driven Prediction Of Flight Cancellations: A Machine Learning Approach In Minimizing Airline Disruption, Hind Nasser
Ai-Driven Prediction Of Flight Cancellations: A Machine Learning Approach In Minimizing Airline Disruption, Hind Nasser
Theses
This thesis investigates the use of machine learning to predict flight cancellations, aiming to reduce operational disruption and improve airline decision-making. The research is motivated by the need for more proactive strategies in aviation, where flight cancellations often result in financial losses and customer dissatisfaction. The study is framed within the CRISP-DM methodology and demonstrates how historical flight data can be transformed into actionable insights using structured analytics. The research addresses three core questions: how effectively machine learning can predict cancellations, which evaluation metrics are most suitable in an imbalanced context, and how model outputs can support airline operations. A …
Personalized Nutrition Recommendations For Arab Communities: Transforming Diet And Health Through Machine Learning, Khalfan Aldoobi
Personalized Nutrition Recommendations For Arab Communities: Transforming Diet And Health Through Machine Learning, Khalfan Aldoobi
Theses
A lack of cultural understanding in traditional nutrition approaches prevents proper adherence to healthy dietary patterns among individuals. The Arab population faces unique challenges due to cultural dietary customs and lifestyle changes that have made obesity and diet illnesses major global public health challenges. The rapid shift to high-calorie but undernourished foods and less physical activity has resulted in alarming rate increases of obesity, cardiovascular diseases, and type 2 diabetes. The lack of cultural understanding in traditional nutrition approaches prevents proper adherence to healthy dietary patterns among individuals. This study focuses to fills the existing gap by applying Artificial Intelligence …
Modelling And Load Frequency Control (Lfc) Design Of Microgrid Frame-Worked As Technological Norm To Multi Energy System (Mes), Mekonnen Shewarega Worku
Modelling And Load Frequency Control (Lfc) Design Of Microgrid Frame-Worked As Technological Norm To Multi Energy System (Mes), Mekonnen Shewarega Worku
Theses
In today's world, the trend of using renewable energy sources as an alternative energy source is becoming more and more common due to various driving factors, such as energy scarcity (fossil fuel depletion, etc.) and environmental issues (carbon footprint). This trend is leading to a steady increase in the penetration of renewable energy sources (RESs) through microgrid (MG), which is formed from combination of various distribution energy sources (DERs). The inherent intermittent nature of RESs coupled with abrupt load changes can instigate sustained frequency fluctuations and can keep the frequency deviation out of the allowable range that leads to an …
A Review Of Smart Public Transport Systems: Challenges, Technological Innovations, And Future Directions, Ahmed Masam Alfalasi
A Review Of Smart Public Transport Systems: Challenges, Technological Innovations, And Future Directions, Ahmed Masam Alfalasi
Theses
Urbanization has created greater demand for effective and sustainable public transport systems in smart cities. Yet, overcrowding, congestion, and old infrastructure remain the main challenges to the effectiveness of these systems. This literature review discusses the major issues affecting smart public transport, such as reliability issues, environmental sustainability, and improved integration and coordination between modes of transport. Technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data analytics are being applied to enhance public transportation efficiency, alleviate congestion, and improve passenger experience. Qualitative research methods were used, relying on secondary data from academic journals, government reports, and …
Future Unleashed: Reimagining Marketing Strategies With Future Foresight, Afra Sultan Al Suwaidi
Future Unleashed: Reimagining Marketing Strategies With Future Foresight, Afra Sultan Al Suwaidi
Theses
In today’s fast-paced and dynamic business landscape, marketing plays a crucial role in influencing business strategy and decision-making in an organisation. Marketing not only helps organisations identify and anticipate trends, threats, and opportunities, but also enables them to formulate and implement effective strategies to capitalise on these insights and achieve the organisation’s vision and goals. Future Foresight in marketing empowers organisations to stay ahead of the curve and gain a deeper understanding of the target audience and industry landscape. The evolving nature of marketing driven by advancements in technology, particularly artificial intelligence, machine learning, and digital marketing channels, makes it …
Investigating The Performance Variation For Graphene-Based Field-Effect Transistor, Tzu-Jung William Huang
Investigating The Performance Variation For Graphene-Based Field-Effect Transistor, Tzu-Jung William Huang
Theses
As silicon CMOS technology approaches its scaling limits, two-dimensional (2D) materials such as graphene offer promising alternatives due to its atomically thin material property and high carrier mobility. Graphene field-effect transistors (GFETs) are especially suited for high-frequency and RF applications; however, large-scale integration is hindered by substantial device-to-device variability. Primary contributors include inconsistent graphene transfer, contact resistance, poor dielectric interfaces, and underlying substrate topography. This work presents a comparative study of three GFET architectures to address variability: (a) raised Al gate with 15 nm Al2O3, (b) raised Al gate with monolayer hexagonal boron nitride (hBN), and (c) recessed Al gate …
You! Me! Dancing!, Aaron Ickler
You! Me! Dancing!, Aaron Ickler
Theses
YOU! ME! DANCING! is a 3-piece photo installation consisting of photographs of myself and the Rochester area furry community. YOU! contains 145 medium format slides across two light panels exploring my relation to the masculine aspects of the Furry Fandom through staged studio portraits, intimate looks into furries in their natural habitats, and moments from local meetups. ME! uses large format sheet film layered in acrylic to highlight the change of character of wearing a fursuit, featuring my own custom fursuit. Lastly, DANCING!, is a visually inaccessible 80 image slideshow in which the pace and interval timed start of the …
Lovejoy: Imagination And Community, Julia D'Amico
Lovejoy: Imagination And Community, Julia D'Amico
Theses
Lovejoy is a photographic portrait of memory, imagination and the future of a neighborhood in Buffalo, New York. For nearly a century, my great-grandparents, grandfather, uncles and cousins lived in the house on Goethe Street in Lovejoy. It was once a vibrant working-class community of immigrants from a few towns in Central and Southern Italy. In 2020, I moved back to Buffalo, regularly visiting my elderly relative who still lived there. She died later that same year. Photography, which has long been a form of self-expression for me, was the medium I had at hand when we started to clean …
Embracing Unpredictability, Stella Huang
Embracing Unpredictability, Stella Huang
Theses
This paper explores the theory and practice of combining unpredictability in life with reverse thinking in modern jewelry design. Traditional jewelry design is often based on fixed aesthetics and strict craftsmanship. This study uses three concepts of jewelry design and clothing wear that break the conventions - a silver mask worn on the face, a skirt worn above the head and not touching the human body, and jewelry made of gallium that melts at human body temperature - as cases to analyze how to express the artistic concepts of "change" and "breaking boundaries" by breaking traditional rules and using material …
The Cutting Edge: A Virtual Reality Simulation For Surgeons To Learn And Understand Carpal Tunnel Surgery, Chenhao Angel Yang
The Cutting Edge: A Virtual Reality Simulation For Surgeons To Learn And Understand Carpal Tunnel Surgery, Chenhao Angel Yang
Theses
As virtual reality (VR) technology becomes increasingly popular, its applications in healthcare have gained significant traction. Many current VR training tools for surgeons lack aesthetic and functional depth; they lack an understanding of the tools needed in the operating room and have limited user experience design and interactivity. In addition, there is an opportunity for specialization with immersive training models tailored to specific procedures like carpal tunnel surgery, making it difficult for surgeons to visualize complex techniques before practicing on real patients in a realistic and guided environment. This project investigates the intersection of VR experiences and their potential to …
Transforming Through Art: Trauma & Domestic Violence, Bridget Provan
Transforming Through Art: Trauma & Domestic Violence, Bridget Provan
Theses
In this thesis, I explored bodily transformation and resilience after trauma through the lens of personal experience with domestic violence. I created sculptural installations using my imagery of bruises, scars, and injuries to convey the ideas of reclamation, healing, and empowerment. The ephemeral quality of natural dyes reflects the impermanence of bruises mirroring the organic journey of recovery. I approach my work from a personal perspective. The sculptural forms serve as fragmented representations of traumatic memory. My artistic practice is deeply tied to materiality and process—choosing natural dyes, textiles referencing care and domestic spaces, sculptural forms derived from personal documentation, …
Narrow Band Random Vibration Reliability Of A Doped Near Eutectic Tin-Bismuth-Based Alloy With A Large Fine-Pitch Ball Grid Array Device, Gregory Derr-Haverlach
Narrow Band Random Vibration Reliability Of A Doped Near Eutectic Tin-Bismuth-Based Alloy With A Large Fine-Pitch Ball Grid Array Device, Gregory Derr-Haverlach
Theses
This thesis investigates the vibration reliability and microstructure of two low temperature lead-free solder alloys. The experimental design involved a 2x2 factorial setup, with solder paste type and time above liquidus (TAL) as the primary factors. The solder pastes tested were Indalloy 281 and Indalloy 303, with TALs of two minutes and three minutes. Indalloy 281 is a eutectic Sn42/Bi58 solder and Indalloy 303 is a doped near eutectic Sn-Bi solder. The objective of the study is to identify how reliability changes between solders and the time above liquidous and to also examine the microstructure and the significant factors that …
Nietzschean Expressivism, Cameron Jackson
Nietzschean Expressivism, Cameron Jackson
Theses
What is Nietzsche’s metaethical stance? Does he even have one? We can, I argue, reconstruct an interesting metaethical view from his writings. Rather than focusing narrowly on his claims about moral judgement, I explore Nietzsche’s philosophical psychology broadly in order to argue that he is best interpreted as holding an emotivist type of expressivism. The function of moral judgement lies within its affective and action-guiding nature, and its communal role of coordinating our evaluative attitudes with one another.
Vigilante Justice Violence In Ghana: Does A Visible Police Force Reduce Support For Instant Justice?, John Ampomah
Vigilante Justice Violence In Ghana: Does A Visible Police Force Reduce Support For Instant Justice?, John Ampomah
Theses
Vigilante justice remains a persistent issue in Ghana, with a significant portion of Ghanaians subscribing to it to address their grievances. While existing research has examined the social and cultural drivers of vigilante justice in Ghana, the role of visible police presence (i.e., police station and police patrol) on vigilante justice has received limited attention. This study seeks to add to the literature by exploring the relationship between visible police presence and support for vigilante justice by drawing on Black’s (1983) Self-Help Theory. First, I argue that a visible police force directly reduces public support for vigilante justice and indirectly …
How Bats View Their Flowers: Exploring The Use Of Visual Floral Cues By Nectarivorous Neotropical Bats, Lindsey R. Dennison
How Bats View Their Flowers: Exploring The Use Of Visual Floral Cues By Nectarivorous Neotropical Bats, Lindsey R. Dennison
Theses
Neotropical nectar bats in cloud forest ecosystems must navigate and forage in dark, complex landscapes containing an incredible diversity of flowering plants. Despite these challenges, nectar bats are extremely successful at exploiting nectar resources from plants. Much of the sensory ecology behind these bat-plant interactions has been investigated and we know from previous studies that echolocation and olfaction are critical sensory modalities to nectar bats. Echo-acoustically conspicuous floral and vegetative structures as well as sulfur-containing volatile compounds function as signals, allowing bats to sense plants. However, not all plants exhibit conspicuous echo-acoustic and/or olfactory characteristics. Furthermore, many neotropical bat-pollinated plants …
Exploring Rural Vs. Urban Variations In Emt Scope Of Practice: Advanced Airway And Iv Access Policies, Michaela Geffert
Exploring Rural Vs. Urban Variations In Emt Scope Of Practice: Advanced Airway And Iv Access Policies, Michaela Geffert
Theses
This thesis investigates how states across the United States (US) modify the Emergency Medical Technician (EMT) Scope of Practice (SoP) to permit advanced skills, with a focus on advanced airway management via supraglottic airways (SGAs) and intravenous (IV) access procedures, and whether rurality plays a role in these decisions. While the National EMS SoP Model establishes minimum competencies for each emergency medical services (EMS) provider level, individual states often alter their standards in response to local demographic, geographic, and resource-based needs. This study reviewed SoP policies from all 50 states, and 44 states were included. Logistic regression analysis was utilized …
Protpen: A Pipeline That Combines Sequence- And Structure-Based Approaches To Predict Protein Functions, Diya Mathai
Protpen: A Pipeline That Combines Sequence- And Structure-Based Approaches To Predict Protein Functions, Diya Mathai
Theses
Proteins of unknown function represent a significant gap in our understanding of biological processes, with many organisms, especially prokaryotes, harboring large portions of their proteomes that remain uncharacterized. For example, in Pseudomonas aeruginosa, a major human pathogen, a large proportion of proteins are categorized as unknown or hypothetical in function. The precise number varies across species, but studies have shown that up to 30–50% of proteins in bacterial proteomes can lack functional annotations. Addressing this gap is critical to understanding the biology and pathogenicity of such organisms. Recent advancements in computational tools, particularly those in sequence and structure-based prediction, offer …