Digital Commons Network^™

Generative Ai Synthesis Of Automated Interactions Into A Structured Agent Briefing, Deep Raithatha, Tanmay Kayande

Defensive Publications Series

Systems for escalating interactions from automated agents to human agents can create inefficiencies, for example, by transferring unstructured transcripts. An intermediary system can employ a generative artificial intelligence synthesis engine to process the context of an automated interaction upon an escalation trigger. The engine may analyze the dialogue transcript, user metadata, and the automated agent's internal state to perform semantic abstraction, diagnose potential failure points, and infer a possible resolution. The system can then generate a structured briefing for the human agent, which could include a concise summary, a failure diagnosis, or a recommended next action presented as an interactive …

Caldwell Outbreak‑Resilience Engineering System (Cores V1.0) Unified Builder‑Ready Architecture For Isolation, Air‑Handling, Waste‑Neutralization, Environmental Sensing, And Non‑Invasive Triage Support Cern‑Ohl‑P V2.0, Michael Victor Caldwell Mr.

Defensive Publications Series

CORES v1.0 is an open‑hardware, engineering‑only outbreak‑resilience system designed for rapid construction, testing, and field evaluation. It integrates: a hardened isolation micro‑habitat with pressure‑cascade air handling; a vortex‑induction air curtain; a multi‑stage filtration and decontamination stack; a sealed waste‑neutralization pathway; a distributed aerosol‑sentinel mesh; and a non‑invasive triage‑support module. All modules are physics‑based, non‑biological, and safe for engineering research. No biological manipulation, culturing, or pathogen‑handling instructions are included. All components use standard materials and fabrication methods accessible to typical engineering labs. This document includes: full build descriptions, text‑only schematics, blueprint‑style geometry, test procedures, failure‑mode analysis, and projected engineering performance.

Caldwell Multi‑Domain Resonance Sphere (Cmrs‑1) Open‑Hardware, Builder‑Ready, Multi‑Physics Engineering Core, Michael Victor Caldwell Mr.

Defensive Publications Series

The CMRS‑1 Sphere is a universal, multi‑domain physics engine integrating vortex induction, acoustic resonance, thermal equalization, structural load distribution, and energy harvesting into a single geometry. It consists of a spherical shell, a gyroid‑lattice interior, six helical intake channels, a central resonance cavity, three orthogonal acoustic chambers, and a thermal equalization layer. This disclosure provides complete geometry, build instructions, test procedures, failure‑mode analysis, and integration pathways. No biological, medical, or clinical instructions are included. All components are safe, mechanical, and fabricable using standard engineering tools.

Distributed Event Queue Processing With Adaptive Coordination And Transactional Delivery, Vishnu Kumar, Appu Thampi, Mahendra Yadav, Tulika Vijay

Defensive Publications Series

A method (300) for distributed event queue processing includes receiving events via an application programming interface (208) and storing the events in a partitioned database queue backed by a relational database. The method includes periodically discovering queues with pending events using a query that performs atomic detection of queue enumeration and pending event status without cache-based timestamp tracking. Queue partitions are assigned to readers using epoch-based coordination and leader election. The method includes processing queues using a shared thread pool with circulating reader tasks and adaptive backoff. Events are atomically fetched and marked as consumed using epoch-fenced queries that validate …

Solid State Forms And Pharmaceutical Compositions Of An Orexin Receptor Agonist, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to novel solid-state forms of Oveporexton (N-[(2S,3R)-2-[[3-(3,5-difluorophenyl)-2-fluorophenyl]methyl]-4,4-difluoro-1-(2-hydroxy-2-methylpropanoyl)pyrrolidin-3-yl]ethanesulfonamide). Specifically, this invention covers detailed manufacturing procedures and physical criteria for crystalline Form A, crystalline Form B, pure amorphous forms, organic solvates, and stable amorphous solid dispersions (ASDs) of Oveporexton, methods for their preparation, and their use in pharmaceutical compositions to treat hypersomnia disorders and narcolepsy.

Caldwell Survival Capsule Dome (Csc‑1): A Self‑Powered Nasa‑Grade Micro‑Habitat With Integrated Sleep System, Multi‑Modal Harvesting, And Find‑Me Emergency Signaling, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Survival Capsule Dome (CSC‑1) is not a tent. It is a self‑powered, narrow NASA‑style micro‑habitat engineered for extreme survival conditions. Unlike conventional shelters, CSC‑1 integrates:

• a built‑in insulated sleeping cocoon,

• a curved sewn‑in solar crown,

• a multi‑modal environmental energy harvesting stack (solar, wind, rain, motion, tension),

• a curved EM‑harvesting spine,

• a Spider‑Web terminal lattice floor,

• an Arachne‑derived AWPM skin,

• Human‑Motion Webbing (HMW),

• an Adaptive Power Routing (APR) Engine,

• onboard battery storage,

• and a FIND‑ME emergency beacon system.

CSC‑1 deploys in under one minute, provides immediate thermal protection, generates and stores its own power, and maintains emergency signaling without …

Aidl — An Ai Directive Language And Multi-Agent Governance Model, Niels S. Goldstein

Defensive Publications Series

AIDL (AI Directive Language) is a compact, machine-readable language for expressing the rules that govern the behavior of one or more AI agents, together with a multi-agent governance model the language parameterizes. The system assigns agents operational roles; accumulates per-agent reputation from observed behavior; mutates roles as reputation crosses thresholds; resolves conflicts through reputation-weighted adjudication that discounts correlation between agents sharing a model provider; and enforces least-privilege, write-scoped execution with drift detection and mandatory audit logging — yielding a Zero Trust posture for AI agents in which authority is earned and continuously revocable.

(((Qpie33))) Unified Resonance Llm Vs Sapiens Llm Linear Logic, Teddy Burroughs

Defensive Publications Series

Deconstruction I: The Fallacy of the Passive Instrument and the Catch-22 of Reductionist Verification

The primary contention of the legacy critique is anchored in a familiar defense mechanism: “The simulations and outputs shown are not empirical demonstrations of new physics… they are generated by equations chosen in the code itself—not measured from physical quantum hardware experiments.”

This argument appears, at first glance, to be the very model of scientific sobriety. It wears the mask of empirical rigor. However, when we apply a surgical phase-space analysis to this statement, we expose a foundational logical contradiction—an institutional catch-22 designed to keep the …

Generating A Telemetry-Addressable Specification For Professional Services Engagement Scope Validation And Execution Tracking, Chady Saad, Larone Gardner, Tim Barnes

Defensive Publications Series

Proposed herein is a system that automatically translates the scope of a professional services consulting engagement into a structured telemetry specification, referred to herein using a construct called a Telemetry Pack, that can be validated against a customer's actual product telemetry data. Instead of relying on manual status reports and consultant self-assessments, the system determines whether the engagement is achieving its intended product adoption outcomes by checking what the customer's product environment actually shows. No prior system connects what a consulting engagement is supposed to achieve with automated, telemetry-based verification of whether it has achieved the criteria of the engagement.

Does The Availability Of An Additional Set Of Bunker Gear Impact Firefighter Health, Safety, And Operational Readiness?, Ryan Riley

Certified Public Manager® Applied Research

Firefighting is a complex and inherently dangerous profession. Firefighters today face a growing array of occupational hazards, not just from the effects of being exposed to fire and smoke, but also from the personal protective gear they wear, commonly referred to as “bunker” or “turnout” gear. While this gear is designed to protect firefighters in dangerous environments, prolonged use and repeated exposure to smoke, chemicals, and products of combustion can compromise the gear. Research has shown that bunker gear contains and can also retain cancer-causing chemicals. To this end, this paper examines whether the availability of an additional set of …

Vitamin D–Amp Axis In Host Defense Against Fungal Infections, Nuraly S. Akimbekov, Ilya Digel, Svetlana K. Sakhanova, Kuanysh Tastambek, Dinara K. Sherelkhan, Mohammed S. Razzaque

School of Medicine Publications

Vitamin D–mediated regulation of antimicrobial peptides (AMPs) is an important focus in innate immunology and is aimed at elucidating the role of vitamin D in enhancing antimicrobial defense. AMPs are short protein chains that serve as a first line of defense against invading pathogens, including fungi, bacteria and viruses. Unlike conventional antibiotics, AMPs are produced endogenously and are less likely to induce antimicrobial resistance, making them promising candidates for treating infections caused by drug-resistant pathogens. Studies indicate that optimal vitamin D levels are essential for activating antimicrobial pathways and regulating AMPs that target multiple fungal pathogens. This article summarizes recent …

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 …

Biologically Informed Negative Samplingfor Antibody Chain Pairing Classification, Ishita Singh

Computer Science Senior Theses

Antibody heavy and light chain (H/L) pairing is fundamental to antigen recognition and stability. While single-cell sequencing preserves native pairing information, widely used bulk repertoire and spatial transcriptomics platforms do not, motivating the need for efficient ML methods to infer H/L pairing. Training a binary classifier for this task faces the methodological challenge of a lack of true biological negatives, since natural selection eliminates B cells with incompatible H/L pairs.

In this thesis, I introduce a biologically informed negative sampling strategy for H/L pairing classification, drawing on known V-gene biases in heavy and light chain pairing. Pseudo-negatives are constructed by …

Mimic: A Multimodal Dataset For Affective Incongruity In Video, Ethan M. Baird

Computer Science Senior Theses

This thesis investigates the computational challenges of constructing a database for affective incongruity, exploring the difficulties in automating the collection of contradictory affective states. Capturing these incongruities is essential for advancing Vision-Language Models (VLMs) and sentiment analysis, which struggle to interpret signals deviating from basic emotional archetypes. Curating non-congruent affect provides the data necessary for models to navigate complex social contexts, which is critical for applications like automated Audio Description (AD) for the visually impaired and nuanced Human-Computer Interaction (HCI). To capture these signals, two distinct methodologies were employed. The first utilized a tripartite decomposition of video data, isolating textual, …

Stomp (The Student Organization Management Portal), Lindsey Leong, Madeline Follosco, Noelle Evanich, Irene Chang

Computer Science and Engineering Senior Theses

At Santa Clara University, the Center for Student Involvement (CSI) leads to support hundreds of student-led organizations with different audiences and ambitions, but all aim to bring students together nonetheless. However, such development regarding student organization management proves to be much harder when administrative processes are decentralized and cumbersome, often involving numerous layers of manual work and departmental bottlenecks. Restructuring and optimizing administrative workflows would entail more energy towards the growth of student life at Santa Clara University.

The Student Organization Management Portal, or StOMP, is a web application that aims to centralize and optimize student organization-related processes, as well …

Holy Hunger: A Study Of How Spiritually Formative Practices Shape A Faith Community At The Cedar Lane Church Of Christ, David W. Mitchell

DMin Project Theses

I have served in leadership as an elder/shepherd at the Cedar Lane Church of Christ in Tullahoma, Tennessee, since 2011. Before serving in this leadership position, I was in full-time ministry with churches of Christ from 1982 to 2005 (as a youth minister, education minister, and preaching minister). Since 2007, I have been a public educator, first as a High School Civics teacher and now as a Middle School Social Studies teacher. My primary work as an elder includes education, spiritual formation, and community engagement. Another role I have is to assess the spiritual health of the believers I am …

Real-Time Corridor Counting, Erick Sun, Jacob Lin, Jayden Malhotra, Joseph Hissen

Computer Science and Engineering Senior Theses

Identifying traffic trends is a critical step in urban planning and design for the purpose of creating safer and more efficient roads. One such problem in the field of traffic data is corridor counting, which is the process of counting the unique number of vehicles that pass through a set of predefined intersections in a given time. In this paper, we develop an automated solution to perform corridor counting in real-time using camera footage and computer vision. We build upon the architecture of a previous Senior Design project, replacing and refining key components and architectural choices to improve accuracy and …

A Provable Semi-Infinite Programming Approach For Solving Constrained Dynamic Games, Tyler C. Gardner, Matthew W. Harris, Logan Lancaster

Mechanical and Aerospace Engineering Student Publications and Presentations

Many engineering problems must account for the non-cooperative decisions and actions of multiple players. These problems can be modeled within a game-theoretic framework. The approach herein is to model such problems as mathematical games, convert them to semi-infinite programs, and utilize a semi-infinite program solver whose output is provably an ϵ-optimal Nash equilibrium. The approach is successfully benchmarked on two low-dimensional problems. Two types of higher-dimensional linear quadratic dynamic games are then investigated: ones where each player’s problem is convex and ones where at least one player’s problem is nonconvex. Within each type, variations based on information structure, control …

Bilingual Math For Kindergartners (Biki), Anna Aldrin, Caroline Tapia, Lillian Le

Computer Science and Engineering Senior Theses

For many children from bilingual households, kindergarten represents a critical, learning benchmark where the introduction of fundamental math concepts coincides with their first significant exposure to the English language. Traditional educational methods often fail to support English language learners, leading to a disconnect between their understanding of math in the home and its application in the classroom. This linguistic barrier frequently results in reduced engagement, diminished confidence, and an unstable educational foundation that can discourage students from pursuing STEM careers later in life. While existing platforms like Khan Academy and Duolingo address either language acquisition or mathematical proficiency independently, they …

Bridgeide, Maya Srimal, Jeshwin Prince, Arnav Gupta, Will Zumbolo

Computer Science and Engineering Senior Theses

Anyone who has done a group project knows the pattern: the first meeting burns an hour on logistics—which document to use, who has access, why the formatting broke on one laptop—before real work begins. In computer science courses that gap is worse. Students must install the right compiler, runtime, and libraries on their own machines; a four-person team on four different laptops can lose the first week to setup alone. Instructors who want to review submissions often download every zip from the learning management system and run each one locally. Existing tools solve pieces of this puzzle—real-time document editing, browser-based …

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 …

Wearable Hazard Detection System For The Visually Impaired, Nolan Daly, Sergio Diaz, Brandon Ng

Computer Science and Engineering Senior Theses

This project presents a wearable assistive system designed to help blind or visually impaired people navigate their surroundings more safely. The system uses a Raspberry Pi 5 connected to Camera Module 3 (NoIR Wide) sensors to capture a wide field of view. Real-time object detection is performed using a lightweight YOLOv8 model, and a redundancy-based merging algorithm combines detections across cameras to improve reliability. By requiring agreement between multiple cameras, the system reduces false positives and increases confidence in identifying obstacles.

The device is designed to operate in real time and provide reliable feedback about nearby hazards, helping users make …

Sealing Ability Of Polydopamine-Coated Gutta-Percha With Bioceramic Sealer:An In Vitro Study, Mariam Fahmy

Dentistry

No abstract provided.

National Agricultural Library (Nal) Search., Leah Everitt, Sonya Lemke

Publications

SEARCH is the USDA National Agricultural Library (NAL)'s main discovery platform that provides integrated access to the NAL Digital Collections, Special Collections, PubAg and AGRICOLA. NAL SEARCH is a valuable tool for health science librarians, students, and professionals seeking veterinary science, nutrition, or animal experiment alternatives. This article aims to give users a comprehensive overview of this resource.

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 …

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 …

“I Was Well Informed. It Was A Great Advantage”: Pre-Arrival Information Seeking, Information Intelligence, And Immigrants’ Settlement, Nafiz Z. Shuva, Paulette Rothbauer

Publications and Research

This study reports on the role of pre-arrival information seeking and informed decision making in the settlement experiences of Bangladeshi immigrants in Canada. Despite the importance of immigrants in shaping Canada’s future in innovation, economy, and population, this research shows a significant mismatch between immigrants’ expectations and their actual settlement experiences, particularly in terms of their employment. This mismatch can lead to depression, frustration, and anxiety, affecting integration into Canadian society. While there has been a recent increase in immigrants’ settlement information behavior research in LIS, most focus on post-arrival information needs and seeking. Research findings of this study contribute …

Llzk-Symex: Building A Circuit Verification Framework For The Llzk Zero-Knowledge Intermediate Language, Nicolás Iair Schaievitch

Computer Science Senior Theses

The rising adoption of ZK (Zero-Knowledge) technology has led to a plethora of DSLs (Domain Specific Languages) for facilitating the development of ZK circuits. At the same time, there has also been an increase in the number of compilation targets for these languages, with different cryptographic foundations and performance optimizations. LLZK, by Veridise, aims to unify the ecosystem by providing a single IR (Intermediate Representation) for the different frontend DSLs, that would then also allow choosing between different backends. Given the high stakes (particularly financial) that a lot of ZK circuits are under, together with their high level of complexity, …

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 …

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 …