Digital Commons Network^™

Multi-Robot Cooperative System For Complex Aerospace Manipulation Tasks: Theory And Application, Longsen Gao

Electrical and Computer Engineering ETDs

Multi-robot systems can extend manipulation capabilities beyond the limits of a single robot, particularly for tasks involving large, flexible, delicate, or free-floating payloads. Reliable cooperative manipulation, however, remains difficult when payload dynamics, contact geometry, compliance properties, deformation-induced forces, and external disturbances are only partially known, and when safety constraints must be enforced during physical interaction. This dissertation develops a two-layer control framework for resilient multi-robot manipulation under uncertainty, with emphasis on space servicing, satellite stabilization, aerial transportation, and cooperative manipulation of free-floating structures.

Enhanced Computational Modeling Of Photoionization And Streamer Formation, Anahita Alibalazadeh

Electrical and Computer Engineering ETDs

Photoionization is a key mechanism governing the formation and propagation of streamer discharges in air by generating electron-ion pairs ahead of the streamer front. Accurate and computationally efficient modeling of this non-local process is essential for reliable plasma simulations. However, the widely used Zheleznyak photoionization model relies on empirical assumptions and requires computationally expensive domain-wide integration.

This dissertation advances photoionization modeling in three ways. First, the classical integral model is enhanced by incorporating experimentally measured vacuum ultraviolet (VUV) emission spectra together with photoabsorption and photoionization cross-section data, enabling direct calculation of the photoionization source term as a function of pressure …

Developing A Dispersion Interferometer For Characterizing Power Flow Plasma Formation And Transport Studies, Nathan R. Hines

Electrical and Computer Engineering ETDs

Sandia's refurbished $Z$-pinch machine experiences persistent current loss in its post-hole convolute and inner magnetically insulated transmission line regions, widely attributed to low-density electrode plasmas whose formation and transport remain poorly constrained by existing diagnostics. This dissertation develops and validates a fiber-coupled, continuous-wave, second-harmonic orthogonally polarized dispersion interferometer for time-resolved measurements of electron areal density in millimeter-scale gaps. The diagnostic employs single-laser second-harmonic generation, non-steering differential phase control, and polarization-based phase retrieval to achieve sub-$10^{15}$~cm$^{-2}$ sensitivity, multi-hundred-megahertz bandwidth, and sub-$200$~$\mu$m effective cross-gap spatial resolution. Performance is benchmarked against a $94$~GHz interferometer on the UNM Helicon-Cathode plasma device and then fielded …

3d Electromagnetic Simulations Of A 1.6 Cell S-Band Photoinjector: Emittance Studies For Electron Microscopy, Trudy Bolin

Electrical and Computer Engineering ETDs

Modern beam-based materials research demands electron sources with increasingly precise time resolution, high brightness, and stability. For example, there are various instruments across the U.S. dedicated to ultrafast electron diffraction (UED), but fewer are dedicated to ultrafast electron microscopy (UEM), which demands beam stability. Modeling femtosecond electron bunches with ultra-low emittance < 50 nm-rad inside a 1.6-cell S-band (2856 MHz) rf photoinjector with full 3D electromagnetic simulations can require high-performance computing (HPC) environments due to the scale disparity between the macroscopic cavity geometry and the femtosecond-scale bunch kinematics. To enable optimization in a desktop computing environment, this work presents a streamlined 3D electromagnetic Particle-in-Cell (PIC) simulation framework optimized for 400-femtosecond bunch regimes. The covariance method was employed to study emittance properties for electron bunch counts ranging from thousands to millions and has successfully resolved highly transient, pure rf phase-space rotations, such as a localized energy-spread minimum occurring at the gun exit iris. To overcome the computational cost of these simulations, a machine-learning-based Bayesian optimization approach was deployed to construct multi-objective Pareto fronts from sparse datasets. Because the simulation software is scalable from desktop to HPC facilities, the framework is ready for experiments at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (LBNL).

Real-Time Waveform Synthesis For Rfsoc-Based Quantum Control Systems, Tiamike I. Dudley

Electrical and Computer Engineering ETDs

RFSoCs are gaining adoption in many labs for quantum control systems thanks to their compactness and affordability. Making full use of the many components on an RFSoC evaluation board is a challenging engineering problem that must be solved to realize scalable control systems. In this dissertation, I evaluate the performance of various RFSoC components in the context of quantum information science. I present two custom FPGA engines that accelerate and parallelize arbitrary waveform generation. The first engine can be instantiated many times to power low-speed DACs for ion-shuttling trap electrodes. The second engine synthesizes CPMG-XY8n dynamical decoupling pulse sequences on …

Simulations Of Atmospheric Pressure Streamer Discharges: Mechanisms Of Streamer Propagation And Related Physics, Dejan Nikic

Electrical and Computer Engineering ETDs

Gas discharge simulations are performed with particular focus on photoionization process in a positive streamer discharge. The effects of this process are investigated by isolating the change in photoionization mean free path (MFP) and keeping the additional processes constant. Furthermore, comparison are made between various effects of simulation parameters, such as initial conditions, geometry extent, simula- tion particle count etc. All of these simulations are performed using a modern Direct Simulation Monte Carlo Particle-in-Cell (DSMC-PIC) code developed by Sandia Na- tional Laboratories. Large scale simulations including 1 cm and 5 cm electrode gaps are performed under standard atmospheric condition air. …

Save A Pulse: Bridging Nurse Confidence And Team Performance Through In-Situ Simulation, Kimberly Morrison, Anna Oh, Zainab Alzawad, Staeci Morita, Sean Garvey, Soo Young Lee

International Nursing Research Congress (INRC)

High-quality cardiopulmonary resuscitation (CPR) directly influences cardiac arrest survival, yet many hospitals struggle to achieve consistent performance. Although simulation-based training is widely used, confidence may not reliably align with proficiency for physically demanding CPR skills. Save a Pulse, a Rapid Response nurse-led in-situ simulation program, was developed to strengthen nurses' cardiac arrest response using structured team training and objective feedback. This study aimed to assess nurses' confidence and CPR performance using a multimethod assessment of self-reported confidence, facilitator observations, and SimPAD® metrics.

This 13-month pretest-posttest study occurred across 23 inpatient units at a large academic hospital. Shockable and nonshockable scenarios …

Butte Priority Soils Operable Unit Final 2022 Unreclaimed Sites Sampling: Ur-27 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Strength Training And Body Image Among Middle-Aged Women In Malaysia: A Narrative Review Using The Health Belief Model, Jasveen K.G. Singh, Nisha Nambiar

Journal of Health Research

Background: Middle-aged women (aged 40-60) in Malaysia face health concerns due to psychological changes, sociocultural impacts, and hormonal shifts as they age. This study aimed to uncover which aspects of strength training programs enable middle-aged women to better manage their health concerns in Malaysia.

Methods: Following the PRISMA guidelines, we utilized the health belief model (HBM) framework to understand how training programs affect the health of middle-aged women worldwide. We focused on women in Malaysia and the unique cultural barriers they experience. Sources were selected from 2010 to 2025.

Results: We selected 22 studies within Malaysia to highlight the impacts …

Borderline Personality Disorder (Bpd) And Witness Memory: A Beginner’S Guide For Criminal Justice, Forensic Mental Health, And Legal Professionals, Jerrod Brown Ph.D., M.A., M.S., M.S., M.S.

Forensic Scholars Today

Borderline personality disorder (BPD) is associated with emotional instability, impulsivity, interpersonal difficulties, identity disturbance, and stress-related dissociative symptoms that may influence cognitive functioning. Research suggests that BPD may contribute to difficulties with attention, executive functioning, and memory, particularly during periods of emotional distress. These issues, combined with common co-occurring conditions such as trauma exposure, substance use disorders, and sleep disturbances, may affect the encoding, storage, retrieval, and recall of information. This article examines current literature on BPD and discusses how symptoms and associated factors could influence witness memory in forensic and legal settings. Because findings remain mixed, the presence of …

“It’S Its Own Toxic”: Occupational Opportunities And Barriers For Lgbq+ Collegiate Athletic Administrators, Colleen S. O'Connell, Michelle E. Moosbrugger, Jill Kochanek, Elizabeth M. Mullin

Journal of Issues in Intercollegiate Athletics

Athletic administrators hold positions of influence within intercollegiate sport, yet their experiences, especially in relation to sexual identity, remain underexamined. The purpose of this study was to explore the occupational experiences and environments of LGBQ+ intercollegiate athletic administrators using a narrative inquiry qualitative design. Sixteen administrators, who occupied various positions across all NCAA levels, were interviewed. Guided by Sexual Stigma and Prejudice Theory and Poststructuralism Theory, collected data were analyzed at the semantic and latent levels using reflexive thematic analysis. Two distinct themes were generated: LGBQ+ administrators described both positive and negative aspects of their workplaces. Inclusive environments were committed …

Boundary Crossings: Charles Williams And Bruce Cockburn As Grim Traveling Companions, John Mabry

Mythcon

This paper explores the deep influence of Charles Williams on the lyrics of singer-songwriter Bruce Cockburn, one of the few Christian rock musicians to enjoy mainstream success. Both artists suffer “outsider” status in Christian culture because they regularly cross the boundaries of what is considered “acceptable” Christianity, both in terms of their personal lives and their theologies. Yet their work profoundly depicts crossings between the mundane and spiritual worlds, to the point of denying such boundaries exist at all. In his doctrine of co-inherence, Williams denies ontological separateness, a theme echoed repeatedly in Cockburn’s lyrics. This is more than just …

Behavioral Analysis Of Cryptoprocta Ferox At The Central Florida Zoo And Botanical Gardens, Rita R. Albert

The Pegasus Review: UCF Undergraduate Research Journal

The fossa, Cryptoprocta ferox, is the largest carnivorous mammal endemic to the island of Madagascar. C. ferox is currently listed as a vulnerable species by the IUCN Red List (2015) due to deforestation. Most fossas are now located in zoos for breeding and repopulation purposes, but research on captive mating has been limited due to the low numbers of successful breeding attempts in captivity. The Central Florida Zoo and Botanical Gardens is home to two fossas, one male and one newly introduced female. This study notes behavioral changes in captive mating fossas, with a focus on the male fossa …

Healthcare Or Gold? Comparative Safe-Haven Dynamics During The Covid-19 Market Crisis, Stephen Omoya

Critical Letters in Economics & Finance

This paper examines whether the US healthcare sector serves as a reliable defensive equity investment during periods of severe macroeconomic stress. Grounded in the Flight-to-Safety market phenomenon. The study investigates how extreme market uncertainty prompts capital reallocation into safer assets. Using daily data from LSEG Workspace for the Vanguard Health Care ETF (VHT), Gold, and the S&P 500, the research analyses a 25-month window from March 31, 2020, to May 31, 2022, yielding 567 observations. The Capital Asset Pricing Model (CAPM) was implemented to measure short-term market risk (β), while the Engle-Granger methodology tested for a long-run relationship between VHT …

"We Can't Shut The Classroom Door": Crossing Borderlands Of Practice In The Writing Methods Course, Vanessa C. Sullivan

Teaching/Writing: The Journal of Writing Teacher Education

This article shares the findings of a qualitative study that engaged ten writing teacher educators from across the United States in interviews, curriculum submission, and a mapping practice to explore the ways that they perceive and enact the teaching of the writing methods course within dynamic and complex settings. Using a conceptual framework of borderlands of practice to gain insight into the discourses and value systems that surround the course, findings revealed the overlapping domains that impact the preparation of teachers in the field of writing, the key values that guide the way that participants approach their teaching, and the …

“Ummm I Don’T Know If I Took A Writing Methods Course”: Learning From In-Service Teachers Revisiting The Methods Course, Christina Saidy, Isabelle Alize Meza, Talia Baca

Teaching/Writing: The Journal of Writing Teacher Education

In this article two teachers and their writing methods professor explore the challenges of the traditional methods course. In sharing the teachers’ experiences of retaking the methods course, they argue for the need to consider ways that practicing teachers can revisit the methods course to develop sustainable practices for the teaching of writing in secondary schools.

What Are You Writing? The Hopes And Hurdles Of Transitioning From Writing Methods To Teaching Writing, Rebekah Buchanan, Darrin G. Ross

Teaching/Writing: The Journal of Writing Teacher Education

This co-authored piece examines how the writing methods course impacts teaching and thinking about writing through the lenses of a writing methods professor and a former student/current teacher. In writing and thinking together we found that a mutual grounding in liberatory education, using writing as a tool for social action and critical thinking, and teaching writing as a political act we see how the writing methods course and the relationships built through writing create a basis for future decision making and inspiration in the high school classroom.

From Prompts To Invitations: Rethinking The Genre Of The Writing Assignment Sheet, Amber Jensen, Annika Peacock

Teaching/Writing: The Journal of Writing Teacher Education

In this article, a university-based teacher educator and a first-year middle school ELA teacher examine how their experiences in the writing methods course (as teacher and student) unsettled and expanded their thinking about assignment sheets and about themselves as teacher-writers. The course prompted questions about how ELA teachers might craft assignments that modeled rhetorically-relevant writing while also eliciting rhetorically-relevant writing from student-writers. The authors describe the genre inquiry they conducted that led to developing a heuristic for writing prompts as invitations that they have used to guide their own assignment sheet creation. Finally, they reflect briefly on how reframing this …

A Hybrid Deep Learning Model Combining Cnn And Extreme Learning Machine For Cyberattack Classification, Israa S. Kamil

Journal of Intelligent Informatics, Networking, and Cybersecurity

As ransomware attacks and zero-day exploits grow sophisticated, the need for intelligent, accurate systems to detect such threats becomes clearer. In this paper, a hybrid learning model based on Convolutional Neural Networks (CNNs) and Extreme Learning Machine (ELM) is presented to improve multiclass classification performance for cybersecurity applications. The framework combines CNNs' hierarchical feature learning with ELMs' fast classification. An attention mechanism that assigns weights to each feature based on importance is included in the final model. The hybrid model performed well on the metrics: precision = 0.97, recall = 0.98, and F1- score = 0.97, and, as expected from …

Towards Intelligent Iot-Ndn Security: Ai-Driven Pit Attack Detection And Cache Attack Analysis, Sura Haidar Ali, Alaa Shawqi Jaber

Journal of Intelligent Informatics, Networking, and Cybersecurity

Beginning with Named Data Networking (NDN), an early form of information-centric networks, the paradigm of how data is transmitted over a network was changed through the use of ``content-based'' communication instead of ``host-based'', while creating native caching at intermediate points along the path to each destination, and improving upon the security of all previous paradigms. NDN contains many inherent benefits such as caching, security, etc., but like any other paradigm, NDN creates new types of vulnerabilities, particularly within some of the key elements of this paradigm; namely the Content Store (CS), Pending Interest Table (PIT), and the Forwarding Information Base …

A Multidimensional Conceptual Framework For Supportive Outdoor Environments In Healthcare Settings, Mona Ali, Dalia A. Beheiry, Rowaida Kamel, Hammam Serageldin

HBRC Journal

The integration of supportive outdoor environments (SOEs) in healthcare settings has gained increasing attention for their potential to enhance patient recovery, support staff well-being, and contribute to holistic therapeutic outcomes. This scoping review examines design recommendations for inclusive outdoor environments in healthcare settings that impact user health and experience. Guided by the Joanna Briggs Institute (JBI) framework for scoping reviews, a comprehensive search was conducted across five databases (Google Scholar, PubMed, ScienceDirect, JSTOR, Sage), yielding 697 records. Following screening and applying the inclusion and exclusion criteria, 18 articles were selected for analysis. This scoping review identified consistent evidence linking outdoor …

The Caldwell High‑Viability Open‑Hardware Portfolio (2026 Edition) A Field‑Indexed Directory Of Reinforced, Builder‑Ready, And Research‑Ready Systems Across Water, Wildfire, Fuel, Materials, Medical Research, Space, Agriculture, Energy, And Environmental Telemetry, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents the highest‑viability Caldwell open‑hardware systems published to date — including all reinforced editions, builder‑ready architectures, and research‑ready platforms across multiple engineering domains. Only systems with strong structural feasibility, realistic physics, modular integration, and clear deployment pathways are included. Conceptual‑tagged disclosures appear only when the underlying architecture is viable, research‑ready, or part of a reinforced stack.

This directory is designed to help researchers, engineers, institutions, and humanitarian organizations quickly locate inventions by field, use‑case, and problem domain, ensuring fast navigation across the full Caldwell ecosystem.

All systems are open‑hardware, no patents, no secrets, and builder‑ready or research‑ready.

Natural Language Evaluation And Instantiation Controls For Search Targeting, Google Case Managers Picozzi, Julia Maria Lennerz, Federico Giannoni, Desislava Mariova Tsvetkova, William Stephen Van Der Kamp, Wenjun Lu, Marcin Grzegorz Szubert, Oliver Albert Kiderle

Defensive Publications Series

Syntactic query targeting exclusions are often imprecise. Extensive manual management of syntactic string variations is required. Consequently, relevant search queries are frequently over-filtered, and complex semantic variations are missed. Natural language matching guidelines are utilized to dynamically control search query targeting. Synthetic training data is generated by a large language model. This synthetic data includes simulated guidelines and labeled search queries. The generated data is utilized to train a low-latency serving model. Incoming search queries and contextual signals are converted into vector representations during online serving. The semantic intent of the incoming queries is evaluated against an internal representation of …

Optimizing Shopping Search Using Artificial Intelligence By Separating And Recombining Search Terms, Lois Wolf

Defensive Publications Series

An electronic search system and method process multi-dimensional shopping queries by executing a real-time union of multi-aspect parameters across multiple web domains. The system receives a user query specifying a product and multiple desired characteristics. Rather than relying on a static, pre-existing search index or database, a backend processing pipeline takes live uniform resource locators (URLs) generated from a primary parallel search. The system dynamically navigates to these specific product pages in real-time to extract and analyze unindexed user review data on the fly. By performing semantic keyword analysis across disparate vendor sites, the backend skill evaluates the intersection of …

Simulating Physical Touch In Mixed Reality Through Visual Skin Deformation And Color Changes, Ashish Singh, Ahmet Cengiz Öztireli

Defensive Publications Series

In Mixed Reality (MR) environments, interacting with virtual objects using bare hands often breaks the immersive illusion because the user’s hands can pass through virtual objects without visual consequence. This effect disrupts the user’s sense of realism and makes it difficult to perform precise interactions. Without haptic feedback or visual cues, it is difficult to accurately grasp or press virtual objects. Existing solutions rely on cumbersome hardware like haptic gloves or apply virtual shadows that offer only depth cues without conveying physical resistance. This disclosure describes a software to configure an MR system to visually simulate physical contact between the …

High Dynamic Range Image Generation For Extended Reality Headsets Using Differential Camera Exposure, Alexander Graehl Williams

Defensive Publications Series

Image capture devices typically exhibit a limited dynamic range relative to natural human vision, frequently resulting in overexposed highlights or underexposed shadows. This limitation can present visual challenges in head-mounted wearable displays where captured video feeds replace natural human vision. A method for generating high dynamic range imagery is described. A first camera associated with a first eye may be configured with an elevated exposure setting to capture shadow details. A second camera associated with a second eye may be configured with a reduced exposure setting to capture highlight details. Overlapping central regions of the captured image streams are merged …

Accelerating Emergency Call Retry By Inferring Bearer Deactivation From Ancillary Network Messages, Edison Chen

Defensive Publications Series

Mobile communication systems may experience delays when retrying a failed emergency call during a network handover. These delays can occur when a user equipment (UE), such as a smartphone, smart watch, or vehicle communication system, waits for a network timer to expire to confirm resource release from a failed connection, particularly if a deactivation confirmation message is not received. A technique is described where a UE's communication modem can infer the deactivation of a failed bearer by analyzing ancillary network messages, such as a tracking area update accept message. The modem can parse an information element within this message that …

Design Of Reliability Acceptance Sampling Plans, Rathin Das

Doctoral Theses

A reliability acceptance sampling plan (RASP) is used for sampling and decision-making in the acceptance or rejection of a lot of products based on lifetime data obtained from a life test. In practice, censored life tests are employed due to limitations in cost, time, and other testing resources for the collection of lifetime data. This thesis develops the design of optimal RASPs under various censoring schemes and testing environments. Design of optimal Bayesian RASPs (BRASPs) are considered under interval censoring schemes (ICS) and hybrid censoring schemes using Bayesian decision-theoretic approaches. These models incorporate the adversarial relationship between manufacturers and consumers, …

Escaping The Cyberstorm: A Gamified Social Engineering Training Program, Noah Mcclanahan, Fadi Abu-Amara, Ali Khattab, Travis Jett, Andre Jackson

Journal of Cybersecurity Education, Research and Practice

In this research work, we explored the effectiveness of gamification in improving cybersecurity awareness and training users on targeted social engineering attacks. Traditional cybersecurity training focuses on lectures and videos. These training methods may not actively engage employees, which reduces their knowledge retention and ability to recognize social engineering attacks. This lack of involvement is a concern, as social engineering continues to be one of the most prevalent attack methods faced by end-users. A gamified training program, Escaping the Cyberstorm, was developed using the Godot game engine to address key challenges in spreading cybersecurity awareness. The game includes real-life …

Feasibility Of An Onboarding Program To Facilitate The Transition From Practitioner To Educator, Jennifer R. Washko, Nancy E. Krusen

Innovations in Health Sciences Education Journal

The study examined the feasibility of a faculty onboarding program to support the transition from practitioner to educator. Researchers applied Orsmond’s feasibility objectives (2015). We applied the theoretical model of Occupational Adaptation to analyze program data using Relative Mastery Scale (RMS) scores and satisfaction surveys (n=11). Evaluation suggested program processes were feasible, with outcomes indicating statistically significant change (p < .05) in participants’ perceived effectiveness, efficiency, and satisfaction. Evaluating feasibility supports the implementation of onboarding programs. We recommend additional study to consider the usefulness of onboarding for health or social service professionals transitioning to faculty roles.