Digital Commons Network^™

Capturing Large Language Model Similarity Through Spectral Analysis, Ishan Verma Prasad

Computer Science Senior Theses

With the rapid development of open-sourced models on Huggingface, there is a strong need for a way to systematically determine the similarity between models. More strongly, for intellectual property and organization, we need a way to determine the "lineage" of models. We borrow principles from Heavy-Tailed Self-Regularization and Random Matrix Theory to provide an inference-free method to accomplish this. We cluster a corpus of several model families by their spectral fingerprints and demonstrate that each model family occupies a distinct region in weight space. This confirms prior ideas of training setups leaving artifacts on model weights and allows us to …

Knockout Tournaments: An Investigation Of Stability, Isabelle Han

Computer Science Senior Theses

Knockout (or single game elimination) tournaments are a competition format widely used to determine a single winner from a pool of participants. However, the seeding, or the initial pairings set by the organizers of the tournament, can dramatically change each participant's probability of winning. This paper introduces stability as a property of tournaments. More specifically, a tournament is stable if no pair of players can be found such that they both wish to swap initial positions. This property is adapted from prior work on stable matchings and is therefore a well-defined structural property.

We investigate three theoretical questions on the …

Reliability-Aware Mixture-Of-Agents For Robust Ai-Generated Image Detection, Jake Jump, Yu-Wing Tai

Computer Science Senior Theses

Detecting AI-generated images requires reasoning across multiple levels of evidence, ranging from low-level statistical artifacts to high-level semantic inconsistencies. Existing approaches typically rely on a single class of signals or emphasize complex multi-agent coordination, which limits robustness under distribution shifts and common image degradations. We propose a reliability-aware Mixture-of-Agents (MoA) framework that treats Vision-Language Model (VLM) agents and computational features as complementary experts and aggregates their predictions based on empirically calibrated reliability. Rather than relying on intricate inter-agent reasoning, our approach centers on structured aggregation: high-precision “anchor” agents drive predictions, while weaker but complementary signals are adaptively incorporated to resolve …

Dancing For The People: A Culturally Grounded Learning-To-Rank Framework For Powwow Dance Evaluation, Avery C. Sutherland

Computer Science Senior Theses

Powwow dance is a form of Indigenous expression that combines movement, storytelling, regalia, and community values. Within competition powwows, dancers are evaluated through a highly subjective judging process that often lacks standardized criteria, creating challenges for consistency, transparency, and fairness. This work investigates whether a learning-to-rank framework can model subjective powwow dance preferences while remaining grounded in the cultural context of the practice. To support this research, a new dataset was constructed consisting of 19 Women's Fancy Shawl dancer profiles and 236 pairwise preference labels collected from experienced members of the powwow community. Each dancer profile combines textual descriptions, images, …

Rscore - A Tool For Learning And Quantifying Software Infrastructure Resiliency, Selena Yujia Zhou

Computer Science Senior Theses

As LLMs take over writing code, infrastructure resilience has become the central challenge of software development, especially for gaming applications, where latency, availability, and scale demands are extreme. However, holistic software infrastructure is difficult to understand for casual developers because of the multiple layers of abstraction that make up an application, and the lack of structured information from proprietary companies. This thesis explores the creation of rscore, a tool that quantifies software infrastructure resiliency and subsequently educates developers about the architecture of any existing gaming application. The tool generates two graphical models of a game’s early versus current infrastructure and …

Carbon Accounting And Beyond: An Evidence-Based Life Cycle Assessment Of The Environmental Impacts Of Data Center It Equipment, Meghann Smith, Manveer Mann, Pankaj Lal

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Data centers are essential to modern infrastructure, but are significant contributors to greenhouse gas (GHG) and related environmental challenges. Despite energy efficiency improvements, rising electricity demands driven by technologies like AI pose challenges to sustaining low-emission sector growth. Regulatory requirements mandate data center operators to report electricity use and emissions, yet current methods, particularly pertaining to indirect sources, remain insufficient. This study explores how life cycle assessment (LCA)-based estimates of data center IT equipment impacts compared with commonly used corporate GHG accounting methods: average-data and spend-based. Environmental impacts were modeled at both grouped and granular levels to support enterprise-wide reporting …

Blendmo: A Blender Mocap Toolkit, Kelly Lee, Angela Zhou, Dana Steinke

Interdisciplinary Design Senior Theses

Motion capture technology is vital for achieving realistic movement in 3D animation, but industry-standard tracking suits and studios remain expensive and inaccessible for students, independent artists, and amateur filmmakers. Consequently, many creators rely on accessible, marker-less motion capture methods, which frequently yield noisy data, scale mismatches between the actor and the rigged model, and unnatural behaviors like foot sliding. To address these technical barriers, this project introduces a free and accessible extension for Blender designed to streamline the cleanup and integration of marker-less motion capture data. It consists of various solutions for methods of combats to motion-captured complications: the keyframe …

Formation Control Of A Multi-Agent System, Benjamin Banh, Paul Lancaster, Daniel Sims

Interdisciplinary Design Senior Theses

The primary objective of this project is to design and implement a ROS2-based multi-agent robotic prototype capable of demonstrating aggregation and formation-control behavior in a controlled indoor environment. The project explores how multiple mobile robots can coordinate through decentralized interaction rules, peer state information, and namespaced ROS2 communication rather than relying on a single centralized controller.

The project began with theoretical study and MATLAB/Simulink simulation of artificial potential fields, singleintegrator dynamics, aggregation, desired-distance formation control, and obstacle-repulsion concepts. These simulations provided an idealized environment for evaluating the general behavior of the control strategy before physical hardware limitations were introduced.

The …

Designing Cost-Effective Quadrupedal Service Robots For Disability Aid, Kieran Pazmino, Akira Zone, Ryan Toy, Cyrus Wong

Interdisciplinary Design Senior Theses

With aging populations and the increased rate of disability diagnosis in the United States, the economy has taken on an elevated toll, as fewer are able to work, including caretakers. Give the rise in unpaid time put in by the average caretaker, it is necessary to determine ways of reducing this burden, for the caretaker and also for elderly and disabled people. Individuals who service dogs for their daily lives face substantial financial and personal responsibilities, on top of their own medical and living costs. This project proposed a wheeled quadrupedal robotic service dog, designed primarily for mobility assistance. In …

Values Driven Priming: Engaging Ai With Reflective, Purposeful Interaction, Carrie Fry, V. Dozier, Amanda Makula

Copley Library: Faculty Scholarship

This librarian-led immersive session seeks to set the human at the center of Generative AI use, beginning by exploring the themes and connections between the foundations of Catholic higher education and the integration of emerging technologies, and then moving to a practical exploration of how the tools can be primed to give outputs that reflect those values.

Librarians are uniquely positioned in AI discussions because of our background in information literacy, and our training in the evaluation of data including provenance of data, reducing misinformation, and bias awareness. Librarians are also interdisciplinary mediators with cross-curricular reach, and connections with student …

Secretary United States Department Of Labor V. Comprehensive Healthcare Management Services Llc

2026 Decisions

USDC for the Western District of Pennsylvania

Tariq Wyatt V. Christina Hauser

2026 Decisions

USDC for the Middle District of Pennsylvania

Neal Miller V. Joseph Wolk

2026 Decisions

USDC for the Eastern District of Pennsylvania

Transgenic Hookworm Secretes Anti-Tetrodotoxin Human Single Chain Antibody, Kumar Sachin Singh, Suman Bharti, Bruce A Rosa, Mahdiyeh Bigham, Samuel C Uzoechi, Young-Jun Choi, John C Martin, Danielle Kemper, Slavica Pavlovic Djuranovic, Darren A Pickering, Rachael Ryan, Bethany K Bracken, Maria Elena Bottazzi, Eric C Carnes, Wannaporn Ittiprasert, Matthew Moyle, Paul J Brindley, Alex Loukas, Sergej Djuranovic, Makedonka Mitreva

Faculty, Staff and Students Publications

Biologics, protein- and peptide-based drugs derived from living organisms or cell lines have emerged as effective therapies across a broad range of indications. However, parenteral administration and the need for frequent dosing increase costs and limit compliance, creating an urgent need for innovative platforms capable of continuously, safely, and efficiently delivering sustained biologics in situ within the host. Here, we describe a bioengineered hookworm platform to manufacture and deliver biologic therapeutics in vivo. As proof of concept, we engineer the Ancylostoma ceylanicum secretome by inserting a human single-chain variable fragment antibody (s16-HuScFv) into its genome. Transgene expression does not perturb …

Cytosine Base Editing Of Lpa In Transgenic Mice Averts Large Deletions, Marcel A Chuecos, So Hyun Park, Madhvi M Bhakta, Usosa Too-Chiobi, Daniel Betancourth, Mingming Cao, Marco De Giorgi, Christopher J Walkey, Anjana Tiwari, Biana Godin, Julia M Assini, Donna J Palmer, Philip Ng, Michael B Boffa, Marlys L Koschinsky, Gang Bao, William R Lagor

Faculty, Staff and Students Publications

Lipoprotein(a) (Lp(a)) is a genetically determined causal risk factor for cardiovascular disease, with approximately 20% of the population exhibiting elevated levels. While there are promising drugs in development, there are currently no approved therapies specifically designed to lower Lp(a) levels. For high-risk individuals with extreme levels of Lp(a), liver-directed genome editing could be an effective one-time solution. Genome editing approaches such as CRISPR and TALENs can reduce Lp(a) in LPA-transgenic mouse models, but they frequently induce large and potentially harmful genomic deletions. Here, we report the first application of TadA-derived cytosine base editing (CBE), delivered via helper-dependent adenovirus (HDAdV) and …

A Novel Qa Method For Adaptive Aperture Position Verification Of Proton Therapy System, Shuxin Fan, Tiezhi Zhang, Xiandong Zhao, Winter Green, Baozhou Sun, Tianyu Zhao, Yao Hao

Faculty, Staff and Students Publications

Accurate Adaptive Aperture (AA) leaf positioning is essential for some proton therapy systems to ensure precise dose delivery and patient safety. However, conventional quality assurance (QA) methods can be suboptimal or inefficient for routinely assessing the dynamic nature of AA in the Mevion S250i HYPERSCAN system. This study introduces a novel automated QA method to verify AA positions utilizing a scintillation detector. A specialized QA plan consisting of 7 rectangular fields was generated in the RayStation treatment planning system (TPS) and delivered using the Mevion S250i HYPERSCAN proton therapy system. Dose distributions were measured with an IBA Lynx PT scintillation …

Impact (Immune Monitoring And Phenotype Assessment Of Clinical Trajectory) For Patients With Inborn Errors Of Immunity From The Primary Immune Deficiency Treatment Consortium (Pidtc), Danielle E Arnold, Hesham Eissa, Elizabeth Dunn, Geoffrey D E Cuvelier, Nicola A M Wright, Rebecca A Marsh, Suhag Parikh, Blachy Davila Saldana, Mark T Vander Lugt, Rosa Bacchetta, Lisa Forbes Satter, Shanmuganathan Chandrakasan, Erinn Kellner, Eric J Allenspach, Erica G Schmitt, Brent Logan, Lauri Burroughs, Morton J Cowan, Linda M Griffith, Luigi Notarangelo, Sung-Yun Pai, Michael A Pulsipher, Christopher C Dvorak, Elie Haddad, Jennifer M Puck, Troy R Torgerson, Jennifer W Leiding, Jennifer Heimall, Alice Y Chan

Faculty, Staff and Students Publications

Background: Evaluating natural history and outcomes of rare inborn errors of immunity (IEIs) has been challenging due to the diverse disease manifestations and lack of standardized data.

Objective: To develop a set of standardized, quantitative, generalizable data collection modules to measure organ dysfunction in IEIs, modeled on the previously validated Common Terminology Criteria for Adverse Event system for grading treatment toxicity.

Methods: Disease conditions were organized by organ system. Experts from the Primary Immune Deficiency Treatment Consortium identified essential features of severe combined immunodeficiency, chronic granulomatous disease, Wiskott-Aldrich syndrome, and primary immune regulatory disorders and compared these to Common Terminology …

Unh Surpasses Enrollment Target For Incoming Class, Bucking National Trends, Tania Deluzuriaga

UNH Today Archive

No abstract provided.

The Omeract Core Domain Sets For Calcium Pyrophosphate Deposition Disease, Nicola Dalbeth, Yiling Zhang, Owen Hensey, David Grossberg, Ken Cai, Amy Fuller, Geraldine M Mccarthy, Tristan Pascart, Augustin Latourte, Edoardo Cipolletta, William J Taylor, Cesar Diaz-Torne, Tim L Jansen, Lih En Hong, Silvia Sirotti, Fabio Becce, Georgios Filippou, Beverley Shea, Robin Christensen, Jasvinder A Singh, Abhishek Abhishek, Sara K Tedeschi

Faculty, Staff and Students Publications

Objectives: To develop OMERACT core domain sets for chronic and recurrent calcium pyrophosphate deposition (CPPD) disease and acute calcium pyrophosphate (CPP) crystal arthritis.

Methods: Following OMERACT methodology, the CPPD Working Group (comprising of patient research partners, fellows, clinicians, and methodologists) defined the core domain sets. The development of the core sets occurred through a scoping review, qualitative study, Delphi surveys, and ranking exercises to identify the most relevant domains. A virtual e-module was developed to enable members of the OMERACT community to discuss and vote for endorsement of the OMERACT CPPD core domain sets.

Results: The core domains for chronic …

Complement Activation In Maternal And Placental Pathology Of Preeclampsia, Manu T Banadakoppa, Madhulatha S Chauhan, Moises J Tacam, Allyson W Nevins, Antonio H Ruano, Simone H Ruano, Jon A Fuson, Chandra Yallampalli

Faculty, Staff and Students Publications

Background: Preeclampsia is a multifactorial, pregnancy-related disorder characterized by new-onset hypertension and proteinuria, with distinct early- and late-onset forms. Although complement dysregulation has been implicated in the pathogenesis of preeclampsia, its causal role remains unclear. In mice, Crry (complement receptor 1-related protein Y) functions as a critical complement regulator at the fetal-maternal interface. Because complete Crry deficiency is embryonically lethal, direct in vivo investigation of complement activation in pregnancy has been challenging.

Methods: We generated a placenta-specific, doxycycline-inducible short hairpin RNA mouse model in which Crry expression can be downregulated in a dose-dependent manner. This system employs Cyp19-driven Cre recombinase …

Whiterock Christian Church (Hill County, Tx) Records, 1886-1900, Whiterock Christian Church (Hill County, Tx)

Center for Restoration Studies Archives, Manuscripts and Personal Papers Finding Aids

No abstract provided.

Adaptive Leadership In Performance-Based Budgeting: Overcoming Implementation Barriers In Texas Municipalities, Tracy Rosalies

Certified Public Manager® Applied Research

This article examines how adaptive leadership shapes the implementation of performance-based budgeting (PBB) in Texas municipalities. PBB has been promoted as a rational reform linking government spending to measurable results. Through qualitative interviews with two Texas city managers, this article explores how trust, education, and ethical stewardship influence whether performance information is interpreted as meaningful guidance or treated as a compliance task. The findings show that leadership behaviors, rather than measurement systems alone, determine the durability of performance reforms. When leaders create conditions for shared understanding and reflective learning, PBB becomes a collaborative framework that supports fiscal discipline, transparency, and …

Transitioning To Privatization With An Employee-First Approach: The Role Of The Employee Success Team, Hanna E. Andersen

Certified Public Manager® Applied Research

Convention centers are vital economic and cultural assets, driving commerce, tourism, and local engagement. In addition to hosting conferences and trade shows, they serve as gathering spaces for civic events and community celebrations. Like many municipalities, the City of Waco shifted the Waco Convention Center from direct municipal operation to private management to improve efficiency and service quality. Guided by its commitment to community assets, the city adopted an employee-first approach through its Employee Success Team (EST). The EST addressed the challenges of privatization—such as staff uncertainty and restructuring—by placing employees in roles within the city or with the new …

The Evolution And Impact Of Artificial Intelligence In Municipal Grant Applications And Management, Butch Calvert

Certified Public Manager® Applied Research

The integration of artificial intelligence (AI) into municipal operations represents a paradigm shift in how local governments approach resource acquisition and management. As municipalities face increasing pressure to secure funding while operating with limited staff and resources, AI technologies offer promising solutions to streamline grant processes, enhance proposal quality, and improve post-award management. This research examines the current landscape of AI applications in municipal grant writing, application preparation, and post-award management, exploring both the transformative potential and the challenges that accompany these technological innovations

Holistic Strategies For Optimizing Municipal It Operations And Cost Efficiency, Joseph Yazdanpanahi

Certified Public Manager® Applied Research

Municipalities work to deliver secure and impactful IT (information technology) services while often working within tight budget constraints. To address this problem, this article offers an experience-based and comprehensive framework to optimize municipal IT operations. It emphasizes leveraging automation, streamlining hardware and software management, and forging strategic partnerships to drive cost savings and efficiency gains. Designed to equip municipal IT leaders with practical tools and insights, this article aims to help modernize IT processes.

Scott Buie Collection, 1941-1946, Scott Buie

Center for Restoration Studies Archives, Manuscripts and Personal Papers Finding Aids

No abstract provided.

Tailoring Crystallization Kinetics For Scalable And Efficient Large-Area Perovskite Light-Emitting Diodes, Sung Doo Baek, Yuanhao Tang, Hyuntae Choi, Shang Jiang, Qixuan Hu, Yu Ting Yang, Hanjun Yang, Wenzhan Xu, Kyu Yoon, Devansh Drolia, Limei Wang, Syed Joy, Su Hye Jeong, Gangsan Lee, Vivek Narsimhan, Kenneth R. Graham, Jeffrey T. Miller, Jianguo Mei, Yoon Ho Lee, Letian Dou

Chemistry Faculty Publications

Scalable fabrication of uniform perovskite films is a critical bottleneck for large-area perovskite light-emitting diodes (PeLEDs), hindered by coffee-ring formation and heterogeneous crystallization upon scaling. Here, we report a multimodal solvent-engineering strategy enabling highly uniform films via ambient blade coating combined with vacuum-assisted solvent evaporation. Incorporating N-methyl-2-pyrrolidone (NMP) and acetonitrile (ACN) into a dimethylformamide (DMF)-based system synergistically modulates evaporation dynamics: It suppresses macroscopic solute segregation through Marangoni flow-induced redistribution, while tuning precursor coordination to regulate nucleation/phase conversion and promote radiatively efficient film formation. Consequently, the ternary formulation yields films with improved uniformity, reduced trap densities, and enhanced radiative efficiency. Near-infrared …

Winddensity-Mbir: Model-Based Iterative Reconstruction For Wind Tunnel 3d Density Estimation, Karl J. Weisenburger, Gregery T. Buzzard, Charles A. Bouman, Matthew R. Kemnetz

Faculty Publications

Experimentalists often use wind tunnels to study aerodynamic turbulence, but most wind tunnel imaging techniques are limited in their ability to take non-invasive three-dimensional (3D) density measurements of turbulence. Wavefront tomography is a technique that uses multiple wavefront measurements from various viewing angles to non-invasively measure the 3D density field of a turbulent medium. Existing methods make strong assumptions, such as a spline basis representation, to address the ill-conditioned nature of this problem. We formulate this problem as a Bayesian, sparse-view tomographic reconstruction problem and develop a model-based iterative reconstruction algorithm for measuring the volumetric 3D density field inside a …

Rlf Nazareth Llc V. York Rsg International Ltd

2026 Decisions

USDC for the District Court of the Virgin Islands

Why Gödel Believed In The Afterlife, Alexander Englert

Philosophy Faculty Publications

Despite some renewed interest in Gödel’s thought beyond his logical and mathematical contributions, his philosophy of religion remains sorely understudied. In this paper, I present a thorough examination of Gödel’s reasons for believing in an

afterlife based on evidence from his notebooks and collected papers. Along the way, I explore important tenets of his philosophical thought more broadly, such as his notion of essence, his views on the essence of human beings, the nature of learning, as well as the sort of afterlife that Gödel conceived as the most rational. The result of the study is a picture of his …