Digital Commons 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 …

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 …

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 …

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.

Lag Correlation Variance, William Zywiak

Data and Datasets

Data set for a NSF STEM grant.

Investigating Caveolar Systems: Spatiotemporal Quantification Of Caveolin-1 And The Mechanotransducive Function Of Ehd2, Jasper Stanae Farrington

Electronic Theses and Dissertations

Caveolae are 50-100nm cholesterol rich flask shaped invaginations found in many differentiated cells. Namely, these structures have been seen to be abundant in endothelial cells where they are involved in many signaling contexts. However, under mechanical stress, the characteristics of caveolae alter, flattening to increase membrane compliance, while displaced proteins can shift from structural roles to mechanosensitive signaling functions. Caveolin-1 (Cav1) is the principal protein required for Caveolar formation while Eps15 Homology Domain Containing Protein 2 (EHD2) is a membrane ATPase that acts to stabilize caveolae at the surface. Despite their emerging importance, understanding the organization and dynamic regulation of …

Identification, Validation, And Prediction Of Longitudinal Recovery Phenotypes In Degenerative Cervical Myelopathy: Analysis Of Prospective Cohorts And A Randomised Controlled Trial, Karlo Pedro, Mohammed Ali Alvi, Christopher Lozano, Vishwathsen Karthikeyan, Alex Bak, Benjamin Davies, James Harrop, Jetan Badhiwala, Jefferson Wilson, Wendy Lou, Zihang Lu, Kevin Thorpe, Michael Fehlings

Department of Neurosurgery Faculty Papers

BACKGROUND: Symptom evolution in degenerative cervical myelopathy (DCM) is traditionally characterized by severity of neurological deficit. A recent expert consensus challenged this view, proposing that DCM fluctuates across neurological, functional and health-related quality of life measures. We examined whether joint changes across these three domains define distinct recovery patterns in a clinic-based cohort of adult patients with DCM.

METHODS: Cohorts analysed were the Cervical Spondylotic Myelopathy-North America (CSM-NA, 2005-2007, N = 278), CSM-International (CSM-I, 2007-2011, N = 479) and the CSM-PROTECT Trial (2012-2017, N = 290). All participants were symptomatic adult DCM patients who underwent surgical treatment and completed at …

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 …

Field-Like- And Self-Spin-Orbit Torques In Magnetic Multilayer Films, Kyle Jeffrey Peterson

Electronic Theses and Dissertations

Spin-orbit torques (SOTs) have been realized as an energy efficient mechanism to manipulate and drive magnetization dynamics in magnetic multilayer films. Their damping-like and field-like components provide distinct pathways for controlling the magnetization, enabling switching, sustaining magneto-oscillations, and driving domain-wall motion with potential applications in nonvolatile memory, spin-based logic, and microwave signal generation. However, the accurate quantification and interpretation of these torques remains complicated by experimental sensitivity, the co-symmetry of the Oersted field and the effective field due to the field-like torque, and assumptions regarding the material layers from which the torques originate. The body of work set forth in …

Exploring Foundations Of Animal Host-Microbe Interactions In A Freshwater Sponge, Jacob S. Pawley

Electronic Theses and Dissertations

The most ancient eukaryotic immune defense mechanisms evolved in unicellular species. Multicellular eukaryotes, however, expanded these mechanisms to meet challenges unique to multicellular life, including barrier formation, long-distance cell signaling, and coordinated responses that eliminate microbial threats while minimizing damage to the host. As such, animal immune signaling pathways are exceptionally intricate and diverse. Though, most of what is understood about animal host–microbe interactions stems from a small handful of model systems. Here, I evaluate host–microbe interactions and innate immunity in sponges using the highly tractable freshwater sponge, Ephydatia muelleri. I report the discovery of an external host-derived matrix …

A Longitudinal Study Of Achilles Tendon Adaptation In Ncaa Division I Female Gymnasts: Associations With Menstrual Status, Birth Control Use, Pain, Limb Dominance, And Training Exposure, Mattie Jane Hyde

Electronic Theses and Dissertations

This longitudinal study evaluated Achilles tendon (AT) thickness in 22 NCAA Division I (DI) female gymnasts across three consecutive seasons in relation to menstruation, birth control use, pain, limb dominance, training week, and year of collegiate competition. Weekly ultrasound and athlete survey data were analyzed using mixed-effects models for absolute AT thickness and change in thickness from baseline measurements. Associations were primarily characterized by interactions rather than uniform effects of individual predictors. A Pain × Limb Dominance × Week × Year interaction was associated with both thickness outcomes across season-specific and combined analyses, with relationship directions varying by limb, season …

An Investigation Of Pelvic Kinematics And Implications For Total Hip Arthroplasty, Kathryn Holland Colone

Electronic Theses and Dissertations

Total hip arthroplasty (THA) is one of the most commonly performed orthopaedic procedures, with approximately 500,000 surgeries performed annually in the United States alone. Although THA is widely regarded as highly successful, postoperative complications persist, highlighting the multifactorial nature of THA outcomes. Previous studies have demonstrated the importance of implant positioning and soft tissue mechanics, yet challenges remain in optimizing surgical decisions on a patient-specific basis. Recent advances in surgical planning tools have shifted the focus of preoperative planning toward optimizing patient-specific outcomes, highlighting the need to better understand how patient anatomy, surgical technique, and joint mechanics interact to influence …

A Bibliometric And Descriptive Analysis Of The Disciplinary Affiliations Of Research About Students With Disabilities In College-Level Science Education, Tongriang N. Daspan M.Ed, Aaron C. Wenger Phd, Brandy Pleasants Phd

Journal of Science Education for Students with Disabilities

Despite the global emphasis on equity and the need for inclusive science education, students with disabilities (SwDs) encounter persistent barriers in college-level science learning environments. While prior research has explored isolated challenges faced by SwDs, few studies have examined how these challenges vary across science disciplines. Yet, science education research is often situated within distinct disciplinary traditions, such as biology education research or geoscience education research, known collectively as Discipline-Based Education Research (DBER). Understanding the disciplinary distribution of research on SwDs is essential to identifying gaps and fostering cross-disciplinary learning. This study maps trends and patterns in the disciplinary affiliations …

Learning Engineering Design Through Making: Affordances Of A Nonformal Tinkering Environment, Cristina Simarro, Digna Couso

Journal of Pre-College Engineering Education Research (J-PEER)

The maker movement has been increasingly adopted as a means for promoting interdisciplinary approaches to STEM learning. However, empirical evidence regarding how making supports the development of engineering design skills remains limited and inconclusive. This study provides an in-depth examination of a nonformal educational initiative grounded in tinkering, a creative and improvisational subset of making, by analyzing the tasks undertaken by primary school children in a tinkering setting. Our results confirm the capacity of tinkering activities to foster specific engineering design practices and elucidate the interrelationships between them. Furthermore, the findings highlight the potential of such approaches to facilitate the …

Right Book, Right Learners? Textbook-Cohort Fit And Cognitive Load In A Cefr-Aligned Saudi University Efl Course: A Case Study, Nedaa Alshehri

University of Bisha Journal for Educational Sciences

The alignment between textbook demands and learner proficiency in a CEFR A1–A2 General English course (Eng. 05225) was examined for Psychology students at a Saudi public university, using Evolve Special Edition7, focusing specifically on textbook suitability, learner struggle, and cognitive load across the four language skills. Document analysis of 23 curriculum artefacts and structured interviews with five teachers and 16 students, from across the proficiency levels, were qualitatively triangulated to support identification of the five key elements raised by the students and teachers of this study. The Cognitive Load Theory (CLT) was adopted to analyse the impact of the instructional …

A Study On The Usage Of Digital Technology For Personal Financial Planning: A Comparative Study Among Generation Y And Z, Saraswathy N.S, Srinidhi Sundar

Journal of Global Management Research

No abstract provided.

Multi-Component Automatic Context Window Optimization For Personalization In Large Language Models, Mugurel-Ionut Andreica, Rajiv Mathews

Defensive Publications Series

Personalization in chat assistants requires multiple interdependent components, where outputs from earlier components are consumed as inputs by downstream components. Manual optimization of these context windows remains highly complex. To address this issue, a method is disclosed wherein context windows are organized into a hierarchical schema of atomic blocks. A joint optimization algorithm is utilized to simultaneously refine top-level inputs, atomic block roles, and child block orderings. The optimization process is guided by past candidate performance, structured evaluation rubrics and processes, and internal model signals, including attention weights and introspection scores. Overall performance is maximized across all components without manual …