Digital Commons Network^™

Biologically-Inspired Multiscale Neuromorphic Architecture, Christian O'Reilly, Ramtin Zand

Publications

This white paper proposes a biologically-inspired multiscale neuromorphic architecture that bridges key gaps between artificial neural networks (ANNs), spiking neural networks (SNNs), and biological neural networks (BNNs). While SNNs offer promising energy efficiency, their broader adoption remains limited by suboptimal performance and the need for novel learning paradigms. To address these challenges, the proposed framework integrates structural and functional principles observed in the brain, including hierarchical organization, sparse and modular connectivity, predictive coding, and diverse neuronal dynamics.

The architecture operates across micro-, meso-, and macro-scales, incorporating neuron-level diversity (e.g., excitatory/inhibitory and principal/support cells), canonical microcircuits (CMCs), and large-scale hierarchical organization. …

From Classroom To Field: Rural Teachers’ Integration Of Science And The Outdoors, Steph N. Dean, Julieanne A. Wenner

Publications

This study explored how rural educators in the US use outdoor environments to enhance science instruction, addressing the educational marginalization of rural students. Using rural cultural wealth as a theoretical framework, we investigated how rural teachers integrate local nature-based resources and students’ out-of-school experiences into science learning. We conducted interviews and observations with rural teachers, using reflexive thematic analysis as our qualitative approach. Three key themes emerged that highlight the ways our participants use the outdoor environment to teach science: (a) harness rural community partnerships, (b) engage students through relational teaching, and (c) design learning opportunities that honor students as …

Slow Education, Sit Spot, And Holistic Well-Being: A Narrative Case Study In Secondary Science Education, Steph Dean, Jim Lane, Paul Bocko, Albert Gilbert, Devan A. Jones

Publications

The demands of a test-dominant education system point towards the need for students to have opportunities for unhurried learning engagements, a movement known as slow education. The purpose of this study was to examine the long-term influence of Sit Spot–a recurrent, structured time to reflect outdoors–on students’ holistic well-being. Using a narrative case study approach, we interviewed a secondary field ecology teacher and seven of his former students to understand the impact of high school Sit Spot experiences during a semester-long science class. Three primary outcomes emerged: (1) enduring impact on the whole person, (2) engagement with affect, and (3) …

Toilet Paper Olympics, Liza Bondurant

Publications

Toilet Paper Olympics includes three engaging embodied learning events designed to deepen conceptual understanding.

Simulation Results Of Spaceborne Ssa Using A Comprehensive Passive Radar Model, Chinmay Gaikwad, Filipe Senra, Thomas Alan Lovell, Hao Peng, Berker Pekoz, Tianyu Yang

Publications

In this paper, a high-fidelity simulation framework is developed to assess the feasibility of tracking space debris using a large low-Earth orbit (LEO) satellite constellation equipped with onboard passive radar sensors. By exploiting illumination from a distributed network of ground-based transmitters, the constellation provides consistent line-of-sight access to debris objects at higher altitudes, enabling angles-only detection and tracking. This approach yields a scalable, automated, and cost-effective architecture for next-generation space surveillance and contributes to more resilient space traffic management. A complete angles-only passive-radar orbit-determination pipeline is introduced and demonstrated. Initial orbital states are generated using a rate-aware constrained admissible-region multiple-hypothesis …

“We’Re All In The Struggle Together”: The Experiences Of First-Generation Graduate Students During Covid-19, Rebecca Stallworth, Danielle E. Maurici-Pollock, Jade Obler, Rachel A. Starr

Publications

This study explores the experiences of first-generation graduate students (FGGS) during the COVID-19 pandemic, specifically the positive and negative impacts of the pandemic on their learning experiences and their implications for the design of online graduate programs that foster a sense of belonging.

Adversarial Certification Of Evidentiary Software, Nicholas G. Vincent, Bryan H. Choi, Eli Siems, Clay Halbert, Katherine J. Strandburg

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No abstract provided.

Coached By A Custom Chatgpt And Ready For Trial, Staci J. Pratt

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No abstract provided.

External Validation Of A Knowledge-Based Clinical Toxicology Consultant For Diagnosing Single Exposures, Hugo Lerogeron, Joel D. Schipper, Jay L. Schauben, Laurent Guéguen, Valentine Lacotte, Kim An Nguyen

Publications

Introduction

Clinical prediction models assist healthcare providers in estimating disease likelihood using multiple patient-specific factors. While these models are increasingly used, few undergo the essential process of external validation, which limits their clinical utility. In toxicology, timely diagnosis is crucial and expertise scarce, making knowledge-based systems an excellent choice to support medical decision making. A knowledge-based system developed using data from the Florida Poison Information Center Network has shown promise but lacks external validation. This study aims to evaluate its performance using data from the Lyon Poison Information Center to assess its generalizability

Methods

To externally validate the Florida diagnostic …

Dyno : Dynamic Neurosymbolic Orchestrator For Multi-Agent Systems, Ritvik Garimella, Chathurangi Shyalika, Renjith Prasad, Amit Sheth

Publications

Large Language Model (LLM)-based multi-agent systems (LaMAS) represent an emerging paradigm for tackling complex, multi-step reasoning and decision-making problems. As these systems scale, orchestration, which is the ability to coordinate, manage, and evaluate the interactions among diverse agents, becomes central to their success. While recent orchestrators such as AgentFlow have demonstrated promise in managing communication and task delegation, they remain limited in their ability to understand task semantics, coordinate heterogeneous agent types (e.g., reactive vs. cognitive), and adaptively align outputs with human-defined goals. In this position paper, we introduce the DYNO (Dynamic Neurosymbolic Orchestrator), a system developed as part of …

Equity Vignettes: A Practice-Based Resource, Liza Bondurant, Jane Wilburne, Dana Franz

Publications

Mathematics teachers have the power and responsibility to center equity in their teaching practices. Yet their framings and mindsets about equity can impact whether and how they use equitable teaching practices. In this manuscript, we describe how secondary mathematics teacher candidates responded to two equity vignettes focused on (1) gender identity and (2) race and tracking. We wrote these vignettes to expose candidates to situations they may encounter and decisions they may need to make as mathematics teachers. The purpose of this study was to explore the teacher candidates’ beliefs. We use the FAIR Framework and the Educator Mindsets for …

Editors’ Reflections: Insights On The Role Of Approximations In Practice-Based Mathematics Teacher Education, Bima Sapkota, Heather Howell, Liza Bondurant, Carrie Wilkerson Lee

Publications

In this colloquium, we will present six years of collaborative research on approximations of practice in mathematics teacher education, exploring how these approximations shape teacher preparation and addressing issues of equity and authenticity in instructional design. Foci include past findings, current challenges, and future directions, drawing from the recently published book edited by the colloquium leaders: Promoting Equity in Approximations of Practice for Mathematics Teachers. Participants will engage in critical conversations on bridging research and practice, with opportunities to join ongoing collaborations.

Sorting It Out, Liza Bondurant, Jane M. Wilburne, Dana Pomykal Franz, Jamaal Young

Publications

We describe a card sorting activity called a Q-sort that teachers can use to foster reflection and discussion.

From Principles To Protection: Leadership In Uniting Integrity And Ethics For Research Security, Seán Lacey, Tom Farrelly, Tara Doherty, Suzanne Mcmurphy, Áine De Róiste

Publications

In today's global research landscape, ensuring integrity and security is critical. The CORRIE - Collaborative Open Resources on Research Integrity and Ethics - project brought together an international, multidisciplinary, cross-jurisdictional team to develop practical principles and resources for research integrity and ethics. Using a values-driven, collaborative leadership model, the team co-created tools grounded in authenticity and accountability, establishing an actionable framework. These resources should effectively address research security, fostering a resilient, effective research culture. Through a user-informed methodology and inclusive collaboration, the project team translated principles into tangible tools reinforcing ethical conduct in daily practice. This approach ensures robust protections …

Preparing Tomorrow’S Professionals: Industry-Informed Ai Integration, Brent A. Terwilliger Ph.D, John Faraca

Publications

As AI reshapes operations across aviation and aerospace, organizations are investing in ways to preserve data integrity, safeguard proprietary knowledge, and uphold critical professional competencies. This presentation shares emerging findings from a study that surveys and interviews industry professionals about their use of AI tools, their concerns about misuse, and the importance of secure, enterprise-controlled “walled garden” environments. The work explores how employers define appropriate, effective, and innovative AI adoption, particularly in roles requiring high-stakes decision-making, compliance, and technical acumen.

By analyzing organizational expectations around AI-related knowledge, skills, and abilities (KSAs), this research offers practical guidance for academic programs seeking …

Student Perspectives On Ai-Enabled Tools For Adaptive Learning, John Faraca

Publications

Artificial Intelligence (AI) is increasingly influencing the delivery of higher education, especially in aviation technical disciplines. From AI-assisted gimbals and video production tools to generative AI platforms, these technologies are helping learners to engage with course material, accomplish objectives, and connect academic concepts with professional applications. By offering pathways for personalization, streamlining resource access, and supporting interactive instruction, AI tools expand opportunities for effective learning. This work builds on a current collaborative research project with a faculty researcher to explore the student perspective in the active review and application of these tools to highlight their potential to improve usability, address …

Perspectives On Firearm Storage Conversations: Summary Of Health Care Provider Interviews And Parent Focus Group, Rachel M. Gallo Mph

Publications

This report summarizes perspectives from Maine parents who own firearms and health care providers on safe firearm storage and related conversations in health care settings. Through interviews and a parent focus group, the project explored how firearms are stored, what influences storage decisions, and how families and providers feel about discussing firearm safety. Parents emphasized the importance of responsible ownership, education, and individualized storage solutions, while identifying cost as a key barrier to safer storage options. Many health care providers expressed interest in addressing firearm safety but cited limited time, lack of training, and concerns about patient trust as challenges. …

Adverse Childhood Experiences, Positive Childhood Experiences, And Digital Media Use Among Children And Adolescents In The United States, Elizabeth L. Crouch, Emma Boswell, Monique J. Brown Ph.D., Kevin J. Bennett

Publications

No abstract provided.

Racial Noticing In Mathematics Teacher Education: Unpacking Southern White Christian Teacher Candidates' Reflections On Data Investigations Of Issues Of Systemic Racism, Liza Bondurant, Anthony Fernandes, Travis Weiland

Publications

In this article, we examine how southern white Christian secondary mathematics teacher candidates reflected on racial inequities in academic opportunities and school discipline after engaging with data sets highlighting such disparities. Using a lens of racial noticing, informed by Leonardo’s (2009) conceptualization of whiteness as a racial discourse that normalizes white dominance, we analyze candidates’ written reflections to identify how they interpreted and responded to issues of race in mathematics education. Two dominant themes emerged: the normalization of implicit biases and the tensions between aspiring to objectivity and acknowledging subjectivity in educational practices. Both patterns aligned with whiteness by obscuring …

Insights On Ai-Supported Uncrewed And Autonomous Systems Education, Brent A. Terwilliger Ph. D, John Faraca

Publications

Artificial Intelligence (AI) related technology is reshaping the educational experience in programs focused on uncrewed and autonomous systems, aviation, robotics, and aerospace, with growing implications for workforce readiness and cross-sector innovation. Early survey data, capturing student, educator, and employer perspectives, reveals that AI-supported tools are notably changing student engagement, communication, and skills development. Initial indications underscores the importance of AI proficiency and technological familiarity in hiring and workforce development, particularly in technical and operational roles. Key areas of focus include the use of AI to strengthen outreach and interactivity; enrich instruction through intelligent simulations; inform curricular improvements using data analytics; …

X-Ray Microcalorimeter Observations Of High-Mass X-Ray Binaries With The Resolve Instrument Onboard Xrism, Pragati Pradhan, Masahiro Tsujimoto

Publications

The X-ray Imaging and Spectrometer Mission (XRISM) was put into orbit successfully in September 2023. Resolve, one of the scientific instruments onboard XRISM, hosts an X-ray spectrometer based on X-ray microcalorimetery technology. It excels in high spectral resolution, a large throughput, a large bandpass, low background, and good timing accuracy. These properties are suited to bring new insights especially in high-mass X-ray binaries (HMXB). We describe these unique features of Resolve and present initial highlights of two HMXB sources.

The Giant Outburst Of Exo 2030+375, P. Thalhammer, R. Ballhausen, E. Sokolova-Lapa, J. Stierhof, A. Zainab, R. Staubert, K. Pottschmidt, J.B. Coley, R.E. Rothschild, G.K. Jaisawal, B. West, P.A. Becker, Pragati Pradhan, P. Kretschmar, J. Wilms

Publications

The Be X-ray binary EXO 2030+375 went through its third recorded giant outburst from June 2021 to early 2022. We present the results of both spectral and timing analysis based on NICER monitoring, covering the 2−10 keV flux range from 20 to 310 mCrab. Dense monitoring with observations carried out about every second day and a total exposure time of ∼160 ks allowed us to closely track the source evolution over the outburst. Changes in the spectral shape and pulse profiles showed a stable luminosity dependence during the rise and decline. The same type of dependence has been seen in …

The Unaltered Pulsar: Gro J1750-27, A Supercritical X-Ray Neutron Star That Does Not Blink An Eye, C. M. Malacaria, L. Moritz Ducci, M. Falanga, D. A. Altamirano, E. Bozzo, S. J. Guillot, G.K. Jaisawal, P. Kretschmar, M. Ng, Pragati Pradhan, R. Rothschild, A. Sanna, P. Thalhammer, J. Wilms

Publications

When accreting X-ray pulsars (XRPs) undergo bright X-ray outbursts, their luminosity-dependent spectral and timing features can be analyzed in detail. The XRP GRO J1750-27 recently underwent one such episode, during which it was observed with NuSTAR and monitored with NICER. Such a data set is rarely available, as it samples the outburst over more than 1 month at a luminosity that is always exceeding ∼5 × 1037 erg s−1 . This value is larger than the typical critical luminosity value, where a radiative shock is formed above the surface of the neutron star. Our data analysis of the joint spectra …

Multi-Wavelength Study Of 1erass J085039.9−421151 With Erosita, Nustar, And X-Shooter, A. Zainab, A. Avakyan, V. Doroshenko, P. Thalhammer, E. Sokolova-Lapa, R. Ballhausen, N. Zalot, J. Stierhof, S. Hämmerich, C. M. Diez, P. Weber, T. Dauser, K. Berger, P. Kretschmar, K. Pottschmidt, Pragati Pradhan, N. Islam, C. Maitra, J.B. Coley, P. Blay, R.H.D. Corbet, R.E. Rothschild, K. Wood, A. Santangelo, U. Heber, J. Wilms

Publications

The eROSITA instrument on board Spectrum-Roentgen-Gamma (SRG) has completed four scans of the X-ray sky, leading to the detection of almost one million X-ray sources in eRASS1 alone, including multiple new X-ray binary candidates. We report on analysis of the X-ray binary 1eRASS J085039.9−421151, using a ∼55 ks long NuSTAR observation, following its detection in each eROSITA scan. An analysis of the eROSITA and NuSTAR X-ray spectra in combination with X-shooter data of the optical counterpart provide evidence of an X-ray binary with a red supergiant (RSG) companion, confirming previous results. However, we did determine a cooler spectral type for …

Stable Coronal X-Ray Emission Over 20 Yr Of Xz Tau, Steven M. Silverberg, Hans Moritz Günther, Pragati Pradhan, David A. Principe, P.C. Schneider, Scott J. Wolk

Publications

XZ Tau AB is a frequently observed binary young stellar object in the Taurus Molecular Cloud; XZ Tau B has been classified as an EXOr object. We present new Chandra/HETG-ACIS-S observations of XZ Tau AB, complemented with variability monitoring of the system with XMM-Newton, to constrain the variability of this system and identify high-resolution line diagnostics to better understand the underlying mechanisms that produce the X-rays. We observe two flares with XMM-Newton but find that outside of these flares the coronal X-ray spectrum of XZ Tau AB is consistent over 20 yr of observations. We compare the ensemble of XZ …

Building Multimodal Knowledge Graphs: Automation For Enterprise Integration, Ritvik Garimella, Hong Yung Yip, Revathy Venkataramanan, Amit P. Sheth

Publications

As enterprises increasingly aim to incorporate artificial intelligence into their workflows to tackle complex, multimodal tasks, the demand for intelligent, robust, and trustworthy systems is paramount. While multimodal large language models offer initial capabilities for processing diverse data streams, their dependence on embedding-based representations limit their effectiveness in delivering semantically grounded explanations and reasoning, as well as qualities essential for enterprise-grade applications. Neurosymbolic approaches provide a promising alternative by enabling traceable, context-aware decision making. However, constructing enterprise-level multimodal knowledge graphs (MMKGs) that enable neurosymbolic approaches remains largely impractical. Although prior efforts have explored MMKG construction, they fall short in addressing …

A Search For Subdwarf B Binaries Using Pulsation Timing From Tess, Tomomi Otani, Andrzej S. Baran, Lindsay C. Spence, Ted A. Von Hippel, Ellesse A. Lynum-Lozano, Julia M. Clark

Publications

Hot subdwarf B (sdB) stars are post-main-sequence stars of high temperature and gravity. Approximately 30% of sdBs exhibit stable pressure and/or gravity-mode pulsations, which can be used via the timing method to test for companion stars and determine their orbital solutions. We used short cadence data from the Transiting Exoplanet Survey Satellite (TESS) to search for previously undiscovered companions to sdBs. In this paper, we focus on searching for companions with orbital periods shorter than 13.5 days which are detectable within one sector of TESS data (about 27 days). The timing method requires that we derive pulsation frequencies in subsets …

Impact Of Mining Activities On Land Use Land Cover (Lulc) Using Geospatial Techniques In The Obuasi Municipality, Jonathan Arthur Quaye-Ballard, Samira Naa Yemoley Nsiah, Jephthah Marfo Nimoh, Titus Tienaah, Tina Dzigbordi Wemegah, Precious Adwoa Okyere

Publications

Introduction: Sustainable development, which balances economic, social, and environmental factors to meet the needs of the present and future generations, is a collective responsibility. Rapid population growth and intensification of socio-economic activities are causing significant changes in Land Use Land Cover (LULC), directly impacting ecosystem services, biodiversity, and climate. The Obuasi community is already facing environmental degradation and health problems due to gold mining.

Methodology: The study assessed the spatial extent and intensity of mining activities in the Obuasi Municipality on the LULC and predicted future LULC changes due to mining activities using geospatial techniques. The LULC changes were analysed …

Comparative Analysis Of Codes Of Ethical Conduct And Professionalism In Engineering And Project Management Associations, Valarie Denney, James W. Marion

Publications

This research details the similarities and differences in moral values and perspective from 15 engineering and project management association codes of conduct and professionalism. The methodology uses text mining of selected codes counting and summarizing keywords, evaluating document similarities through cosine similarity, and assessing the influence of various ethical schools of thought. Key findings reveal differences in the emphasis of core ethical values like fairness, honesty, and responsibility across different associations. This research is important for engineering and project management professionals to purposefully develop and evolve codes of ethics and professional development to enhance integrity, accountability, and ethical decision-making.

Farming With Data: Tracing Critical Tensions Using Data Science For Food Justice, Marc Sager, Maximilan Sherard, Anthony Petrosino

Publications

In this manuscript, we explore the intersection of artificial intelligence (AI) and equitable learning in higher education, focusing on data science as a subset of AI and social justice as the core theme of equity. Our investigation sheds light on the nuanced tensions inherent in employing data science for social justice. Rooted in situated perspectives of learning and consequential learning, our study employs an instrumental case-study methodology and analysis techniques from interaction and conversation analysis. Collaborating with three undergraduate students and an urban farm, the students used data science practices to highlight inequities surrounding food justice and access to food. …