Digital Commons Network^™

Evaluating Topic Models With Openai Embeddings: A Comparative Analysis On Variable-Length Texts Using Two Datasets, Abdullah Wahbeh, Mohammad Al-Ramahi, Omar F. El-Gayar, Ahmed Elnoshokaty, Tareq Nasralah

Research & Publications

Topic modeling is a crucial unsupervised machine learning technique for identifying themes within unstructured text. This study compares traditional topic modeling methods, like Latent Dirichlet Allocation (LDA), against advanced embedding-based models, specifically BERTopic-OpenAI. The analysis utilizes two distinct datasets: user reviews from the mental health app Replika and the 20newsgroup dataset. For the Replika dataset, both methods identified common themes, but BERTopic-OpenAI uncovered additional nuanced topics, demonstrating its enhanced semantic capabilities. Quantitative evaluation of the 20newsgroup dataset further highlighted BERTopic-OpenAI's advantage through achieving higher topic coherence and diversity than the best-performing LDA model. These results suggest that embedding-based models provide …

Human Cognitive Bias Mitigation Approaches To Fairness Within The Machine Learning Value Chain: A Review And Research Agenda, Stephen Surles, Cherie Noteboom, Omar F. El-Gayar

Research & Publications

This systematic review examines the influence of human cognitive biases on machine learning (ML) systems across the 9 phases of the ML algorithmic value chain. Following the PRISMA guidelines, it synthesizes 19 studies on bias integration and management within ML, highlighting techniques to reduce bias and increase fairness. The review identifies key gaps: the unclear translation of human cognitive biases to ML biases, absence of metrics to measure biases, re-introduction of biases during debiasing, and the critical need for human intervention. These findings prompt several research themes spanning human cognition and algorithmic bias. The theoretical implications are three-fold: extending bias …

Highlighting Competency Gaps In Health Informatics Education Using Advanced Text-Embedding Models, Omar F. El-Gayar, Abdullah Wahbeh, Mohammad Al-Ramahi, Ahmed Elnoshokaty

Research & Publications

The healthcare sector anticipates substantial growth, with 125,000 job openings by 2026, including 69,000 middle-skilled positions. Despite this growth, data use and integration inefficiencies cost the sector $750 billion annually. Health informatics, an interdisciplinary field blending healthcare, computer, information, and cognitive sciences, can address these challenges through enhanced healthcare management via information technology. However, there is a critical disparity between competencies taught in educational programs and those demanded by the job market. This study examines competencies from job postings on Indeed.com and accredited health informatics programs, comparing them with the Health Information Technology Competencies (HITComp) database. Utilizing advanced text-embedding models, …

Non-Functional Requirementsand Key Propositionselicitation For An Hdss:A Grounded Theory Approach, Mohammad Tafiqur Rahman, Omar F. El-Gayar

Research & Publications

Deciding humanitarian actions during relief distribution is a crucial and challengingtask.Humanitarian decision-makers (HDM) make manycritical decisions during disaster responses,but they sufferfrom incomplete, irrelevant, and sometimes excessive humanitarian operations-related disaster datain many situations.Hence, for constructive and meaningful support in decision-making, HDMs oftenappreciate computer-basedinformation systems(IS) (i.e. humanitarian decision support systems) that require non-functional requirements (NFRs) for their development. To identify those necessary NFRs, we applied the grounded theory approach to analyze 61 literature-and field-based decision-making parameters reported in the primary author's previous research (Rahman and Majchrzak (2020)). Our analysis resulted in 13 essentialNFRs and four key propositions to guide relief distribution decision-making …

Generative Ai And Academic Integrity In Higher Education: A Systematic Review And Research Agenda, Kyle Bittle, Omar F. El-Gayar

Research & Publications

This systematic literature review rigorously evaluates the impact of Generative AI (GenAI) on academic integrity within higher education settings. The primary objective is to synthesize how GenAI technologies influence student behavior and academic honesty, assessing the benefits and risks associated with their integration. We defined clear inclusion and exclusion criteria, focusing on studies explicitly discussing GenAI’s role in higher education from January 2021 to December 2024. Databases included ABI/INFORM, ACM Digital Library, IEEE Xplore, and JSTOR, with the last search conducted in May 2024. A total of 41 studies met our precise inclusion criteria. Our synthesis methods involved qualitative analysis …

Thei Student Applied Research Presentations Sarp 2025, Research Office Thei

THEi Student Applied Research Presentations (SARP)

No abstract provided.

A Systematic Review Of Artificial Intelligence's Function In The Diagnosis Of Lung Cancer (2018–2024), Rokan Hazim Hamad

Mesopotamian Journal of Artificial Intelligence in Healthcare

Lung cancer is a leading cause of cancer-related mortality, often diagnosed at advanced stages. This systematic review explores AI applications in lung cancer diagnosis, focusing on medical imaging, pathology, and genetic analysis. A systematic literature review methodology was employed, analyzing studies from databases such as PubMed, IEEE Xplore, and Scopus (2018–2024). Findings indicate that AI-powered diagnostic models, particularly deep learning techniques, outperform conventional methods in accuracy, sensitivity, and early detection capabilities. However, integration into clinical practice presents challenges, including data privacy concerns, model biases, and regulatory limitations. This review highlights the potential of AI in lung cancer screening and provides …

Exploring How Political Affiliations Influence Trust In Ai Applications, Md Imran Ahsan

Theses and Dissertations

This paper examines the impact of partisanship on public trust in the utilization of Artificial Intelligence (AI) by private and public institutions. This study utilizes data from the “Artificial Intelligence: American Attitudes and Trends” survey (Zhang & Dafoe, 2019). Survey-weighted OLS regression models are employed to examine the variations in trust levels across different private and public institutions. This study hypothesizes that H1: Compared to Republicans, Democrats will report higher levels of confidence in public institutions to develop AI in the best interests of the public. H2: Compared to Democrats, Republicans will report higher levels of confidence in private institutions …

Exploring Nitrate Reduction In A Saturated Riparian Buffer Through A Three-Dimensional Reactive Contaminant Transport Model In An Agricultural Area, Mcclean County Central Illinois, Franklin O. Ijigade

Theses and Dissertations

Saturated Riparian Buffers (SRBs) are engineered systems designed to remove nitrate and other pollutants from subsurface agricultural drainage water before it reaches a stream. This study utilizes a high-resolution coupled flow and reactive transport model to explore nitrate reduction and transformation in an SRB in glacial sediment. The influence of material heterogeneity on nitrate reduction and the effectiveness of the SRB was investigated. The study was conducted in an SRB located next to and receiving tile drainage water that ultimately drains into a 3^rd order stream (T3 stream) in central Illinois, USA. A three-dimensional steady groundwater flow model was …

The Development Of A One Pot, Two Reaction Synthetic Preparation Of 1,2,4-Oxadiazole, And Synthesis Of Ataluren, A Novel Drug In The Fight Against Duchenne Muscular Dystrophy. Efforts Towards The Synthesis Of A Potential Protease Inhibitor Against The Main Protease (3clpro) Of Covid-19, Austin J. Carter

Theses and Dissertations

1,2,4-Oxadiazoles are five-membered heterocyclic structures first synthesized by Tiemann and Krüger in 1884. Recent discoveries suggest an array of useful biological properties.In preparation of 1,2,4-oxadiazoles, the most prevalent precursors are amidoximes, which can be created via the reaction of nitriles with hydroxylamine hydrochloride and a base. The amidoximes are reacted with an activated carboxylic acid to yield an acylated intermediate. This intermediate can be exposed to a base to cyclize into the 1,2,4-oxadiazole. This thesis describes the efforts in combining these three steps into a unified one-pot synthesis.

Currently, there are a significant number of commercially available FDA approved and …

Asymmetric Synthesis Of The Hiv Protease Inhibitor Tmc-126 And An Anti-Malarial Agent Via A Titanium Tetrachloride Mediated Asymmetric Glycolate Aldol Addition Reaction. Redefining The Curtius Rearrangement Reaction Via Dehomologation Of Carboxylic Acids Bearing Alpha-Leaving Groups, Kweku Amaning Affram

Theses and Dissertations

Acquired Immune Deficiency Syndrome (AIDS) and malaria are two devastating infectious diseases caused by HIV and Plasmodium parasites. AIDS is caused by HIV-1 and HIV-2, transmitted through sexual contact, blood transfusions, needle sharing, and perinatal routes. Malaria, caused by plasmodium parasites through mosquito bites. Today, millions of people around the world have been infected with HIV and malaria and much research has been done to treat it. However, despite advancements in therapeutic options, these diseases remain a significant global health threat, particularly in developing countries due to the emergence of drug-resistant strains for both HIV and malaria complicating eradication efforts. …

Hydronic Parking Lots: A Solution For Urban Heat Island Mitigation, Sumeet Jinnappa Paramaj

Theses and Dissertations

The Urban Heat Island (UHI) effect has emerged as a critical challenge in modern cities. It contributes to elevated local temperatures, placing significant stress on urban ecosystems and public health. One of the primary drivers of this phenomenon is the widespread use of impervious surfaces, such as dark-colored parking lots, which absorb heat during the day and gradually release it at night. This ongoing cycle results in persistently warmer urban environments. As cities continue to expand and densify, the need for effective, sustainable strategies to reduce urban heat becomes increasingly urgent.

This project aims to explore innovative interventions, particularly in …

Stimulating Focus And Calmness Through Soft Fabrication: A User-Centered Approach, Emmanuella A. Oku

Theses and Dissertations

This study explores the potential of active attention objects embedded with technologies such as LEDs to enhance focus and calmness in individuals with inattentive ADHD, particularly in classroom settings. Individuals with inattentive ADHD often struggle with irritability, stress, and panic attacks when exposed to external stimuli such as loud sounds, varying light intensities, strong smells, or physical sensations, which significantly hinders their ability to concentrate and remain composed. My literature review discovered a connection between an individual’s blinking pattern and their focus, and my work explores how to design active attention objects to engage with blinking as a focus tactic. …

The Impact Of Loss Function Topology On Gradient Descent, Robert B. Skudnig Jr.

Theses and Dissertations

Gradient descent is a popular optimization method that utilizes a model’s prediction error to iteratively improve its parameters for a given task. The functions that measure this error can be defined to align with the user’s goals and sometimes satisfy metric or norm properties. It is common for these functions to measure over Rn, but any differentiable space allows for gradient descent to occur. There has been some research investigating the influence of topological spaces on optimization methods, but it is a limited field of study. This thesis further explores this phenomenon by applying a transformation prediction model to multiple …

Neural Network Algorithm And Analysis For Multi-Label Ecg Data Classification, Akhil Raghava Kalal

Theses and Dissertations

Electrocardiogram (ECG) analysis is a fundamental diagnostic tool in cardiology, providing critical insights into cardiac function that directly impact patient care decisions and treatment outcomes. As healthcare systems face increasing demands, automated ECG interpretation using artificial intelligence offers promising solutions to improve diagnostic accuracy, reduce physicians workload, and enhance early detection of life threatening conditions.

This thesis compares two advanced deep learning architectures, CNN-GRU and Wide and Deep Transformer, for multi-label classification of 12-lead ECG data. Using data from the PhysioNet/Computing in Cardiology Challenge 2020, I evaluated both architectures across 27 different cardiac abnormalities. Results demonstrated that CNN-GRU architecture consistently …

“Don’T Panic, It’S Just Ai:” A Qualitative Study On Internal Communication Strategies For Managing Ai-Driven Change”, Edikan Nkanta

Theses and Dissertations

This qualitative study investigated how organizations utilize internal communication strategies to navigate AI-driven change effectively. Through semi-structured interviews with eleven communication professionals and change leaders across various industries, the research identified key communication approaches that facilitate successful AI implementation. Findings revealed three primary strategies: framing AI as a tool that enhances rather than replaces human capabilities, connecting AI initiatives to organizational purpose and business goals, and demonstrating practical use cases through concrete examples. The study also highlighted the importance of establishing clear guidelines for responsible AI use, making initial adoption optional rather than mandatory, and directly addressing job security concerns. …

Utilizing Information Technology And Hands-On Learning Practices To Improve Student Learning Outcomes In A High Failure Rate Introductory Programming Course, Todd Edward Thomas

Theses and Dissertations

The purpose of this study was to introduce and examine the impact that two interventions have on a high failure rate introductory programing course: a pedagogical approach of introducing Live Coding instruction technique to the in-person lecture portion, and a technological approach of introducing remote collaboration software (VS Code Liveshare) to the online lab portion. This study used convergent parallel mixed methods approach for both data collection and analysis; utilizing four data collection methods: 1) online survey questionnaires 2) in-depth interviews 3) in class observations and 4) quantifiable data collection (ie., student demographic, IT experience, GPA data). The Live Coding …

Site-Specific Modification Of Antibodies Utilizing Microbial Transglutaminase For Improved Immunoassay Performance, Emily Beitello

Theses and Dissertations

Immobilization strategies used for fixing antibodies to solid phase surfaces significantly contribute to the antigen capture capacity and influences the performance and sensitivity of immunoassays. Traditional methodologies result in the random orientation and/or the weak attachment of immobilized antibodies. Different formats of immunoassays scope in applicability to many fields of research and everyday use. Improving the efficiency of immobilizing antibodies in immunoassays is a beneficial endeavor to increase assay sensitivity. Here, we investigated the use of enzyme-mediated conjugation of antibodies to facilitate a highly oriented immobilization. Microbial transglutaminase (mTG) catalyzes the covalent bond formation between a plethora of primary amine …

Area Of Effect The History And Effects Of Linguistic Choices Made In The Final Fantasy Franchise, Camille Mcdermott

Theses and Dissertations

The Final Fantasy franchise, a seminal role-playing game (RPG) series, has captivated a global audience since its inception in 1987. This thesis, titled "Area of Effect: The History and Effects of Linguistic Choices Made in the Final Fantasy Franchise," explores the intricate use of language that has shaped the series' identity and influenced its worldwide fanbase. The linguistic landscape of Final Fantasy is as diverse and dynamic as its fantastical worlds, evolving from simple text boxes to fully voiced narratives. This study examines the historical context and evolving linguistic choices throughout the series, highlighting how these decisions enrich the gaming …

Application Of Floating Wetlands To Improve Urban Stream Quality, Daniel Chukwunonso Chukwudi

Theses and Dissertations

Urban streams, impacted by urbanization, often exhibit degraded water quality due to elevated nutrient levels, a phenomenon known as urban stream syndrome. This study evaluates the effectiveness of a floating wetland (FW) system in reducing nitrate as nitrogen (NO₃-N) and phosphate (PO₄³⁻) concentrations in a side canal of the Chicago River’s North Branch, adjacent to Goose Island, Chicago, IL, from 2018 to 2023. Using a five-year dataset, including new sampling from May to December 2023, the research addresses two questions: (1) Do FWs lower NO₃-N and PO₄³⁻ concentrations in urban streams? and (2) Do FWs exhibit seasonal differences in nutrient …

Converting Cover Crop Biomass To Biogas And Volatile Fatty Acids, Tuba Yasmin Lubna

Theses and Dissertations

Cover crops are commonly used for their environmental benefits, including improved soil health and reduced soil erosion. However, there is limited use for the aboveground biomass, except for oilseed crops. The objectives of this study were to (1) characterize the selected winter cover crop biomass at three growth stages, (2) evaluate the biogas and volatile fatty acids (VFAs) yield, and (3) examine the concurrent alkali pretreatment and ensiling effects on biogas yield. Wild pennycress, golden pennycress, CoverCress^TM, annual ryegrass, cereal rye, pea, and clover biomass were harvested at three growth stages. Results showed that biogas yield increased with …

The Impact Of Ableist Microaggressions On The Supervisory Relationship And The Influence Of Burnout And Self-Efficacy, Berenice Contreras

Theses and Dissertations

Disabled graduate students often report experiences of ableist microaggressions in their training environment, as disability-affirming practices tend to be overlooked in higher education institutions (Kattari et al., 2019; Lund et al., 2020). Ableist microaggressions are verbal, nonverbal, and/or environmental messages that relay derogatory messages toward individuals with disabilities and normalize everyday forms of discrimination enacted toward them (Annamma et al., 2013; Kattari et al., 2019). Studies demonstrate that disabled graduate students in health psychology graduate programs report higher exposure to ableist experiences during pre internship training and supervision compared to other stages of graduate training (Lund et al., 2014; Lund …

Genetic Relative-Finder Services: A Qualitative Study Of Consumer Experiences, Sarah A. Sciba

Theses and Dissertations

Background: Genetic genealogy is an emergent topic in sociology. To date, over 41 million individuals worldwide have tested with the top four direct-to-consumer genetic testing (DTCGT) companies: AncestryDNA, FamilyTreeDNA, 23andMe, and MyHeritageDNA (Glynn 2022). These tests provide consumers with ethnicity estimates, a list of DNA cousin matches, or both. Despite the popularity of DTCGT, there is a lack of data on consumer experiences with genetic relative-finder services (GRF) in the sociological literature. Methodology: I conducted exploratory, qualitative research in the form of in-depth interviews with eight adult women who have used GRF. I gathered data about their motivations for participation …

From Columbia To Usc, Palestine Will Be Free: Capturing The Palestinian Student Narrative, Deena Ata

Theses and Dissertations

In 2024, student groups across colleges organized encampments demanding their institutions cut financial and academic ties with Israel and the Israeli military, a call rooted in resistance to the ongoing occupation and violence against Palestinians. These student-led actions were met with harsh retaliation from university administrations and state authorities, including graduation deferments, suspensions, censorship, and arrests. Clear attempts to silence dissent and suppress Palestinian solidarity. This study centers the voices of Palestinian college students by examining their lived experiences and counter-narratives in the face of backlash, anti-Palestinian rhetoric, and institutionalized acts of disenfranchisement. Their stories reveal how repression of pro-Palestine …

At The Mercy Of All Things: Nurturing Experimental Queer Writing On Embodied Mothering, Charley Koenig

Theses and Dissertations

This dissertation is an exploration of the ability of experimental queer writing to grow and transform expressions of mothering and care. The moves made here—both in the scholarship and anchor texts examined herein and in my own contributions to this effort—work to dethatch those toxic dominating narratives on motherhood, enforced and reinforced by our current Western society and culture, that contaminate and restrict our constructions of what it means to be and do mother. The collective work of experimental queer writers makes possible more nuanced, realistic, messy, complex, varied, embodied, liberating, and literally and figuratively dirty renditions of mothering and …

Exosomes: Historical Evolution And Emerging Roles In Dermatology, Nina Schur, Luna Samman, Milaan Shah, Victoria Dukharan, Carol Stegura, Luke Broughton, Todd Schlesinger

GME Publications

Background: Exosomes are a nanoscale extracellular vesicles derived from different cell types that have been investigated for various clinical applications, including functioning as biomarkers and use as direct therapeutics. Given the role of exosomes in multiple pathophysiologic pathways and potential practical applications, they have garnered significant interest in the scientific community but much is still unknown about their development and use.

Aims: This literature review covers the background, mechanisms of action, use as biomarkers, methods of application, and direct therapeutic applications of exosomes.

Methods: A literature review on the background and uses of exosomes was conducted. Key articles describing the …

Bailing Out Biometrics, Chinmayi Sharma, Elijah Gordon

Faculty Scholarship

In 2023, hackers breached 23andMe and extracted the biometric and genealogical data of nearly seven million people. By 2025, that data-originally offered up in the spirit of medical discovery and consumer empowerment-was being auctioned off in bankruptcy court as a corporate asset. The breach exposed more than technical lapses or governance failures. It revealed a structural gap in how the law understands, regulates, and protects biometric identity. Biometric data is intimate, immutable, and implicates human dignity and autonomy. And yet, the legal frameworks most often tasked with protecting it-tort, contract, and even modern privacy statutes-have consistently failed to impose meaningful …

Special Issues Facing People Who Use Drugs And How Sensitive Lawyers Can Help: Three Case Studies From Rutgers Law Associate, Andrew J. Rothman

Touro Law Review

No abstract provided.

A Patent System For Temple Grandin, Andrew Chin

Touro Law Review

This article explores the intersection of neurodiversity and innovation through the lens of Temple Grandin’s contributions to livestock handling systems and her philosophical alignment with the U.S. patent system. Drawing on cognitive research by Simon Baron-Cohen, archaeological insights from Penny Spikins, and personal reflections, I argue that autistic cognitive styles—characterized by heightened “folk physics” aptitudes and visual thinking—have historically driven technological progress. Grandin’s patented inventions, motivated by sensory-based empathy for animals, exemplify how neurodivergent inventors seek to embed their conceptions of ethical utility into the nation’s technological infrastructure. The article critiques modern patent litigation trends, advocating instead for a system …

In Too Deep: Navigating An Unpredictable Algorithm, Anthony J. Ranieri

Touro Law Review

This note explores the intersection of deepfakes, a newfound and seemingly ubiquitous technology, and the protections granted by the Free Speech Clause under the First Amendment. At this juncture, society has failed to develop an infallible form of deepfake detection technology despite persistent and diligent efforts by individuals and entities alike. Hyper realistic deepfake technology has and will continue to be utilized by bad actors as a tool for advancing their nefarious goals, resulting in cognizable harm to individuals and society at large. This note evaluates the current state of deepfake technology and the potential obstacle that traditional First Amendment …