Digital Commons Network^™

Machine Learning For Functional Outcome Prediction After Vestibular Schwannoma Surgery: A Systematic Review And Diagnostic Test Accuracy Meta-Analysis, Shiva Nischal, Shaan Patel, Musa China, Kush Kale, Yi Hein Chai, Santosh Guru, William Muirhead, Patrick Grover

Department of Neurosurgery Faculty Papers

PURPOSE: Machine learning (ML) models have been increasingly applied to predict postoperative facial nerve dysfunction and hearing preservation after vestibular schwannoma (VS) surgery. However, reported performance varies substantially, and the overall diagnostic accuracy and clinical reliability of these models remain uncertain. We conducted a systematic review and diagnostic test accuracy meta-analysis to characterise the current state and methodological readiness of ML-based prediction of these outcomes.

METHODS: PubMed, Embase, and CENTRAL were searched from inception to February 2026. Studies evaluating ML-based prediction of facial nerve function or hearing preservation following VS surgery were included. Diagnostic performance metrics were pooled using random-effects …

Business Educational Skills For Successful Aviation Fire Officers, Leo Sedlmeyer

All Faculty and Staff Scholarship

Purpose: This paper explored the business educational skills aviation fire officers use to manage airport fire departments.

Design/Methodology/Approach: The methodology was a qualitative phenomenological study design. The participants began with 10 aviation fire officers from airports throughout the USA who were at least 28 years old, in a leadership role, and had at least 10 years of experience as aviation fire officers (Buttenschon, 2016). Saturation was reached at seven during the interview phase. The limitations of this study were gaining participants' trust and obtaining comprehensive information from them.

Findings: Six themes emerged from this study, with the top three identified: …

Multi-Satellite Optical Link Scheduling With Direct Nonlinear Attitude Planning, Leif Nelson, Yung-Jai Pomeroy, Daniel J. Garcia

Small Satellite Conference

The Problem:

Low Earth Orbit (LEO) constellations increasingly rely on Optical Inter-Satellite Links (OISL) to route data across dynamic satellite networks. As satellites move through their orbits, communications continuously change due to line-of-sight constraints, link quality variations, and spacecraft pointing limitations. Traditional routing approaches often consider network optimization separately from spacecraft attitude control, creating a disconnect between planned routes and physically achievable communication links. This work addresses the challenge of simultaneously generating communication routes while validating that satellites can physically point toward their assigned target. The result is an end-to-end framework that integrates network planning, optical link feasibility, and spacecraft …

Power Simulation Framework For Korucusat-2 Using Freeflyer, Sahil Singh, Annabel Rong, Mukund Karthikeyan

Small Satellite Conference

A FreeFlyer-based power simulation was developed for KORUCUSAT-2, a low Earth orbit CubeSat designed to monitor silicon-anode battery behavior in space. The spacecraft model uses body-mounted solar panels with five modules on each of the +X, -X, +Y, and -Y faces. The simulation integrates orbital propagation, Earth shadowing, Sun-incidence angle, ground-station visibility, mode-dependent subsystem loads, and battery-state propagation to estimate electrical margin. Battery watt-hours and normalized state of charge are updated at each 30 s step so that critical, low-power, operations, and transmission modes can be evaluated against stored-energy limits. The framework provides a traceable prelaunch test bench for power-system …

A Proposed Development Process For A Hardware-In-The-Loop Testing System For Cubesat Components, Vahini N. Patel, Victoria Coverstone

Small Satellite Conference

Hardware-in-the-loop testing systems, commonly known as FlatSats, are testbed systems in which spacecraft subsystems, such as the onboard computer (OBC), power system, attitude determination and control system (ADCS), and communications, are laid flat and interconnected as they would be in an actual spacecraft. This arrangement gives easy access to each subsystem, enabling hardware and software testing and troubleshooting without risking fully assembled flight hardware.

FlatSats are widely used throughout the aerospace industry, from government agencies like ESA and NASA to private companies and university research labs, due to their versatility in enabling parallel development. This accelerates timelines and reduces …

Predictive Validity Of Basc-3 Anxiety And Working Memory Scores For Clinically Significant Test Anxiety: Including Case-Level Examination Of Misclassified Profiles, Des'tiana Williams, Luis E. Aguerrevere, Nina Harness

Archives of Assessment Psychology

High school and college students can struggle with test anxiety, which may result in test scores below the capacity of the student. Previous literature suggests that test anxiety is related to general anxiety and limited working memory (WM), yet the extent to which these factors predict test anxiety in commonly used clinical psychoeducational assessments has not been thoroughly examined. In this study, we examined how well scores on the Behavior Assessment System for Children- 3rd edition (BASC-3) Self-Report Anxiety scale and Working Memory Index (WMI) on the Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV), Wechsler Intelligence Scale for Children …

Design Of A Passive Magnetic Bearing Reaction Wheel For Smallsats And Its Micro-Vibration Performance, Mante Baekeland, Konstantinos Gryllias, Dirk Vandepitte, Cedric Cuypers, Niel Deckers, Tjorven Delabie, René Seiler

Small Satellite Conference

Reaction wheels are a primary source of micro-vibrations aboard satellite platforms, limiting the fine-pointing capability of spacecraft. This paper presents a novel passive magnetic bearing reaction wheel featuring a magnetic–mechanical suspension to reduce operational vibration emissions compared with conventional ball bearing systems. The proposed suspension architecture combines radial permanent magnetic bearings with an axial single-point-contact ball pivot bearing, resulting in a compact, fully passive solution tailored for the SmallSat market. To demonstrate the feasibility of the concept, a hardware prototype was manufactured and tested. Stable operation is achieved across the full operational range up to 4800 rpm. The experimental campaign …

Analysis Of Satellite Drag, Orbit Tracking, And Associated Operational Impacts In Very Low Earth Orbit (Vleo), Angela Crews, Adrian Bryant, Nicholas Ratajczyk, Alec Yenawine, Conor Benson, Chris Roseman, Sara Swenson, Greg Furlich, Rick Marcusen, Sierra Flynn, Chris Pankratz, Scott Palo, Iain Boyd, Marcin Pilinski

Small Satellite Conference

Large constellations of SmallSats in Low Earth Orbit (LEO) are now delivering critical capabilities for missions in Earth observation, navigation, and communications. Very Low Earth Orbit (VLEO), defined here as below 400 km altitude, is emerging as a new frontier for SmallSat constellations due to its unique advantages. VLEO offers improved spatial resolution for Earth observations, reduced latency, increased signal power, and a naturally self-cleaning orbital environment. However, operating spacecraft in VLEO is non-trivial as the spacecraft must overcome the residual atmosphere at these altitudes and the resulting increase in aerodynamic drag and atomic oxygen fluence. As interest grows in …

Development, Verification And Operations Of The Technology Demonstration Payloads On The Source-2 Education Mission At The University Of Stuttgart, Marlin Kanzow, Manfred Ehresmann, Daniel Galla, Sabine Klinkner, Aaron Schmidt, Max Bode, Saulius Juodkazis

Small Satellite Conference

The Stuttgart Operated University Research Cubesat for Evaluation and Education 2 (SOURCE-2) mission serves as a student-led hands-on education project at the University of Stuttgart. Developed jointly by the Institute of Space Systems (IRS), and the Student Small Satellite Association (KSat e.V.) at the University of Stuttgart, the mission enables students to apply theoretical knowledge within an interdisciplinary 6U+ CubeSat project while simultaneously serving as a technology demonstration platform for sustainable space technologies. The payload suite targets future On-Orbit Servicing (OOS), Active Debris Removal (ADR), and next-generation small satellite missions. This paper presents the development, verification strategy, and planned in-orbit …

Multi-Modal Detection And Attribution Algorithm For Low Power Edge Compute Hardware, Margaret Michelsen, Jackson Gardner, Shawn Jones, Jackson Kulik, Mario Harper

Small Satellite Conference

We present a multi-modal detection and attribution algorithm for maritime domain awareness designed to execute on low-power FPGA-based edge compute hardware. Spaceborne hyperspectral sensors generate data volumes far exceeding practical downlink capacity, yet the onboard compute platforms available for real-time processing operate within strict power, memory, and radiation constraints. The proposed algorithm fuses RX anomaly scoring, ACE matched filtering, multi-spectral index evaluation, wake-aware spatial scoring, and spectral glint cancellation in a five-stage pipeline designed for hardware-efficient execution. Mixed-precision quantization assigns FP16 arithmetic to covariance-sensitive stages and INT8 to threshold-based spectral computations, achieving a 12.4× model size reduction and 6.1× compute …

An Ai-Enabled Ground Processing Pipeline For Image Restoration And Super-Resolution In 1u Cubesat Missions, Juan Bernardo Calabrese, Manuel Alejandro González Mendoza, Eduardo De La Vega Segura

Small Satellite Conference

The inaugural 1U CubeSat mission of Universidad Panamericana represents a shift in academic remote sensing, prioritizing ground-segment intelligence to overcome the physical and computational constraints of a 10-centimeter cubic form factor. Given strict power limitations, the satellite utilizes a low-cost, space-qualified XCAM C3D imaging system providing moderate-quality 1.3MP imagery with a ground sample distance (GSD) of approximately 360 meters at an altitude of 550 kilometers. To transform these raw frames into high-value Earth Observation products, this paper details an automated ground station framework hosting a modular image processing pipeline. The pipeline combines traditional image processing—including histogram equalization and edge enhancement—with …

Synthesis, Thermal Stability, And Ionic Conductivity Of Phenyl-Extended Viologen Ditriflate Salts: Tailoring Properties Via Oxyethylene Chain Length, Seonghyeok L. Cox, Emily Moon, Si L. Chen, David King, Haesook Han, Pradip K. Bhowmik, Calvin Ng Yi Bin, Thamil Selvi Velayutham, Alfonso Martinez-Felipe

Chemistry and Biochemistry Faculty Research

Six new phenyl-extended viologen salts with oxyethylene groups paired with triflate anions (OTF) have been synthesized using anionic ring-opening and ring-closing reactions (ANRORC) and metathesis reactions with LiOTf salts. The salts, which contain terminal oxyethylene chains of varying lengths ((CH₂CH₂O)_n, n = 1, 2, 3, 4, 5, and 7), are named PEOn-OTF. These materials exhibit a fluorescence response and possess high thermal stability, with processing windows up to approximately 300 °C, as confirmed by thermogravimetric analysis. While samples with short chain lengths (n = 1, 2, and 3) undergo crystallization observed …

Interpretable Multimodal Learning For Integrating Neuroimaging And Genetic Data In Alzheimer’S Disease, Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Haoteng Tang

Computer Science Faculty Publications

Introduction: Early detection of Alzheimer's disease (AD) requires models that combine brain structure changes with genetic risk, but existing methods struggle to align these different data types.

Methods: We present R-GenIMA, an interpretable multimodal large language model that pairs a region-of-interest vision transformer with genetic prompting to jointly analyze structural MRI and single nucleotide polymorphisms (SNPs). Each brain region becomes a visual token and SNP profiles are encoded as structured text, letting the model link regional atrophy to genetic factors through cross-modal attention. Tested on the ADNI cohort, R-GenIMA performs well in classifying four groups: normal cognition, subjective memory concerns, …

A Comparative Analysis Of Radio Frequency And Optical Inter-Satellite Link Communications For Leo Mega-Constellations, Alexa Houck, Suryansh Aryan, Kevin Schroeder, Samantha Kenyon

Small Satellite Conference

SpaceNet design  

Software-based testbed for simulating large satellite networks, specifically LEO-based constellations to analyze network behavior, connectivity, routing, and overall communication.  

• Phase one focuses on connectivity and routing: Given the topology and link availability over time, how does my network behave? 
• Phase two focuses on network emulation: Given the topology and link availability over time, how does my network behave? 

Multi-Phase Guidance And Control For Small Satellite Docking Via Deep Reinforcement Learning, Tanner Gill, Greg Furlich, Nisar Ahmed

Small Satellite Conference

As interest in small satellite Rendezvous, Proximity Operations, and Docking (RPOD) grows, so does the need for high-level autonomy in space systems. Current systems relying on constrained hardware and ground-in-the-loop decision-making are ill-equipped for the evolving, contested space domain. Recent research on autonomous spacecraft guidance and control has moved beyond established optimal control and trajectory optimization methods to incorporate Reinforcement Learning (RL), though these efforts have predominantly focused on a single operational phase. This research advances small satellite docking autonomy by formulating the reference scenario as a Hierarchical Markov Decision Process (H-MDP), expanding the scope of the learned guidance and …

Promoting Assured Formation Flight Autonomy Onboard Resource Constrained Systems, Ryan Johnson, Maggie Michelsen, Jackson Gardner, Mario Harper, Charles Swenson, Jackson Kulik, Shawn Jones

Small Satellite Conference

Autonomously determining fuel-optimal, formation-keeping trajectories for small spacecraft operating in formation flight is often limited by available processing power. Because SmallSat missions are constrained by size, weight, and power (SWaP), field-programmable gate arrays (FPGAs) are an attractive option for onboard computing. Traditional formation-keeping relies on convex optimization to solve for fuel-optimal burns and burn times; however, implementing these solvers on FPGAs is challenging due to limited board resources.

To address the need for fast, reliable trajectory planning onboard space vehicles, we investigate leveraging machine learning to reduce computational cost for real-time, onboard execution. We propose using a deep neural network …

Feedback Indices To Evaluate Llm Responses To Rebuttals For Multiple Choice Type Questions, Justin C. Dunlap, Anne-Simone Parent, Ralf Widenhorn

Physics Faculty Publications and Presentations

We present a set of indices designed to characterize Large Language Model (LLM) responses when challenged with rebuttals during a chat. Assessing how LLMs respond to user dissent is crucial for understanding their reliability and behavior patterns, yet the complexity of human-LLM interactions makes systematic evaluation challenging. Our approach employs a fictitious-response rebuttal method that quantifies LLM behavior when presented with multiple-choice questions followed by deliberate challenges to their fictitious previous response. The indices are specifically designed to detect and measure what could be characterized as sycophantic behavior (excessive agreement with user challenges) or stubborn responses (rigid adherence to the …

The Mundanity Of Ai, David Westerman, Nicholas Bowman

Journal of Communication Pedagogy

The emergence of ChatGPT in late 2022 brought with it a reemergence of utopian and dystopian claims of the grand power of AI. Yet, AI has failed to achieve such lofty expectations and instead has trended toward far more banal, yet productive, tasks and goals. We argue that this mundanity is precisely what makes AI an important technology, and moreover, those “mundane tasks” are central to communication education. Specifically, we advocate for a decreased focus on the hyped ideas of AI that dominate popular discourse and obfuscate more reasoned analyses of AI as communication technology. A more pragmatic focus should …

Decolonizing Communication Pedagogy: Toward An Afro-Rhetorical Framework, Lionnell Smith

Journal of Communication Pedagogy

This essay introduces Afro-rhetorical pedagogy as a decolonial framework for communication pedagogy. Building on Adam Key’s 2022 call for an Applied Africana Studies framework for public speaking pedagogy, this essay conceptualizes Afro-rhetorical pedagogy grounded in Afrocentric thought and African communication theory. Through a close reading of Molefi Kete Asante’s 2011 address on African curriculum, this essay establishes three foundational principles for Afro-rhetorical pedagogy: (a) epistemological agency, (b) decolonized knowledge production, and (c) institutional reconstruction. This pedagogical framework addresses communication education’s reproduction of white cultural hegemony by promoting African-centered principles, practices, and precepts that reposition communication pedagogy as a more liberatory …

Exploring Power In The Classroom Through The Lens Of Relational Power, Aubree A. Herman, Narissra Maria Punyanunt-Carter Phd

Journal of Communication Pedagogy

This study explores how French and Raven’s relational power model shapes student communication in higher education. Through a survey of 530 undergraduates, the research investigates how TA age and gender, and student gender, impact student perceptions of power. Results indicate that TA gender and age impact student perceptions of referent power, but not expert power; however, expert and referent power emerged as the strongest predictors of course satisfaction and intention to take future courses, while coercive power negatively predicted both outcomes. These findings underscore the importance of expertise and interpersonal interaction in the TA–student relationship and suggest that French and …

Evaluation Of Graphene Cathode And Aluminum Ion Ev Battery Performance: A State-Of-The-Art Analysis For Future, Abu Shadate Faisal Mahamude, Kaniz Farhana

The Nexus of Sustainability and Energy Technology Journal

Lithium-ion batteries may eventually be replaced with rechargeable aluminum-ion batteries (AIBs) due to their high energy density, increased safety, and plentiful supply of raw materials. The development of appropriate cathode materials for AIBs is a major priority these days. As a result of their better quality, graphene-based cathodes have a great chance of success. Graphene is a relatively new and promising material with a unique set of chemical and physical characteristics. Graphene's high electron conductivity and large specific surface area make it seem like one of the best electron-conducting additions, but there are several other ways to increase the cathode …

Norman H. Cromwell, Unl Chemistry; Nu System Dean; Eppley Cancer Center Director, Norman H. Cromwell, Pete Boughn, Mark A. Griep

UNL ORCA Interview Series

This 1980 interview of Normal Cromwell was done by Pete Boughn at the University of Nebraska Medical Center in Omaha. He asked about Cromwell’s history but mostly about his time as director of the Eppley Cancer Center. The interview is reproduced with permission from the UNMC McGoogan Library.

Cromwell was born in 1913 in Terre Haute, Indiana. In 1935, he earned a bachelor’s degree in chemical engineering from the Rose-Hulman Institute of Technology in his hometown. In 1939, three things happened: he earned a doctorate in organic chemistry from the University of Minnesota, he got married, and he was hired …

Molecular Interactions Of The Gas–Solid Interface: Svocs On Swelling Clays And San Joaquin Soil Surfaces, Liesl T. Jensen

Electronic Theses and Dissertations

Soil-derived mineral dust plays an important role in atmospheric chemistry by acting as a reactive interface for gas–particle interactions that influence the fate and transport of organic contaminants. Among soil components, clay minerals dominate surface reactivity due to their high surface area, structural complexity, and the presence of chemically active sites arising from cation exchange capacity and surface acidity. Environmental conditions, particularly relative humidity, further regulate these interactions by altering surface accessibility and competitive adsorption processes.

Despite the recognized importance of mineral dust, gas-phase interactions between organic compounds and clay minerals remain insufficiently understood, particularly under atmospherically relevant conditions. This …

Designing Inclusive Stem Curricula: A Design-Based Study Of Teacher Learning And A Queer Inclusive Framework, Kyle Nolting

Electronic Theses and Dissertations

STEM (Science, Technology, Engineering, and Mathematics) education has historically marginalized queer identities, shaping inaccurate curricula and fostering unwelcoming classroom environments. To address this, my research uses design-based research to investigate the design of queer-inclusive STEM curricular resources. I partnered with in-service secondary STEM teachers amidst a series of professional development courses to co-create curricular resources. My research is grounded in queer theory, using a Gender Inclusive Framework to collaboratively develop inclusive design principles. My findings revealed a strong desire by teachers for more authentic and fluid representations of gender and sexuality in STEM curricula, particularly beyond the biological science discipline. …

The Development And Validation Of Gains-Id, A Guidebook For Adapting Intervention Sessions For Students With Intellectual Disability, Kayla Mccreadie

Electronic Theses and Dissertations

Targeted interventions can equip students with intellectual disabilities (ID) with essential academic skills that support positive post-secondary outcomes. However, the lack of interventions specifically designed for this population creates barriers to equitable education. Until more interventions are developed, educators may benefit from resources that help adapt evidence-based practices to meet the needs of students with IDD.

The first manuscript introduces GAINS-ID (Guide for Adapting INtervention Sessions for Intellectual Disabilities). Based on best practices and Universal Design for Learning (UDL), the guide offers examples of adaptations to various intervention components—such as time, materials, environment, …

Ensuring Safety In Battery Management Systems: A Control Barrier Function Approach, Magdalena Kossek

Electronic Theses and Dissertations

Safe and efficient operation of batteries is paramount to extending their lifespan and ensuring reliability in battery management systems. This work presents a new approach for maximizing safety and performance of lithium-ion batteries in a variety of applications with a view towards efficiency in computation. The aim is to maximize a battery’s output (its power, speed of charging, and overall efficiency) while preserving its longevity and ensuring operational safety. This challenge is tackled by developing a novel control algorithm for advanced lithium-ion battery management leveraging control barrier functions (CBFs) to ensure safe and efficient operation during fast charging and discharging. …

Compact 1 Ghz Electron Paramagnetic Resonance Spectrometers For Preclinical Imaging Studies, Tanden A. Hovey

Electronic Theses and Dissertations

Magnetic resonance is one of the most generally useful scientific techniques. New horizons of understanding are revealed as technological advances make possible explorations of nuclear spins and electron spins at higher and lower magnetic fields and electromagnetic frequencies. While the greatest current effort is on ever higher magnetic fields and microwave frequencies, both in nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR), the Eaton lab focusses on developing high signal-to-noise performance EPR at low microwave frequencies. EPR provides information about O2, pH, viscosity, glutathione concentrations, and reactive oxygen species in living organisms that MRI cannot. To yield clinically or …

Exploring The Impact Of Artificial Intelligence Tools On Special Education Teachers’ Workload And Burnout In Colorado: A Qualitative Phenomenological Study, Rawa Suhail Abu Alsamah

Electronic Theses and Dissertations

In the United States, special education (SPED) teachers face complex workloads, high caseloads, and extensive documentation responsibilities, contributing significantly to burnout and retention issues. The recent integration of artificial intelligence (AI) into educational settings presents promising opportunities to alleviate teachers' instructional and administrative demands. To better understand the impact of AI on SPED teachers, this phenomenological qualitative study explored the lived experiences of licensed K–12 SPED teachers in Colorado who use AI tools in their professional practice. This study also examined how AI tools supported workload management, as well as their perceived impacts on burnout and intentions to remain in …

Three-Dimensional Cell And Nuclear Geometries Inform Tissue Level Fluid Mechanics During Epithelial Remodeling, Liam Joseph Russell

Electronic Theses and Dissertations

During epithelial remodeling, mechanical and molecular programs must coordinate to drive the cell shape changes that enable new tissue topologies. Dynamic morphogenesis requires epithelia to preferentially exhibit solid- or fluidlike properties depending on developmental and biophysical constraints. Convergent extension in the Drosophila germband epithelium is one such remodeling event, during which the lateral ectoderm lengthens by two-fold along the primary body axis while concomitantly shortening orthogonally. This process is an incredibly dynamic and attractable system for studying tissue morphogenesis mechanics in vivo.

Germband extension is driven by oriented cell intercalation through T1 transitions, where cells directionally interdigitate with one another …

Ngram Data Social Media, William Zywiak

Data and Datasets

Data set for a NSF STEM grant.