Digital Commons Network^™

See, Anchor, And Frame Math With Coding, Beverly Sanders, Brittany Wall, Debi Alexander, Jessica Shumway

Publications

In this presentation, we will share our experiences with integrating mathematics and programming in fifth-grade classrooms. We approached this integration with three key features in our lessons: visualization of important math concepts, anchor ideas that cross coding and math, and the framing of content to help students make connections. We will share our exponents, fractions, and geometry lessons and show how we used coding to provide students with meaningful spaces to engage with interactive contexts to broaden their mathematics conceptions.

An Investigation Of Travel Distance And Timeliness Of Breast Cancer Treatment Among A Diverse Cohort In The United States, Swann Arp Adams, Oluwole Adeyemi Babatunde, Whitney Zahnd, Peiyin Hung, Karen E. Wickersham, Nathaniel Bell Ph.D., Jan M. Eberth Ph.D.

Publications

Travel to and from distant cancer treatment facilities can place a significant burden on cancer patients, particularly rural and minority survivors. Thus, the purpose of our investigation was to examine the association between patient travel distance and delays in types of treatment for breast cancer (surgery, radiation, chemotherapy, and hormonal therapy) and treatment delays. Using a novel linkage between the state cancer registry and administrative data from Medicaid and a private insurance plan, 2155 BC patients were successfully linked to create the cohort. ArcGIS was used to geocode all case residences and treatment facility addresses and calculate network distance between …

The Journey Toward Sustainability: Positive Impact Of Environmental, Social, And Governance Index On Transportation., Doreen Mcgunagle, Laura Zizka, Ron Mau, Patti Clark

Publications

The transportation industry has been criticized for its hefty environmental footprint, questionable social practices, and lack of transparency regarding governance. Thus, more companies have begun including Environmental, Social, and Governance (ESG) issues in their strategies. Research has shown that effectively integrating ESG into business models can improve financial performance by tackling environmental, social, and governance challenges. This sustainable progress can be quantified by considering the extent to which the products or services produced by the firm’s harm or benefit social welfare. The current research paper examines ESG and financial performance over time in the Transportation Industry by comparing data from …

Rapid Mid-Infrared Spectral Timing With Jwst: Grs 1915+105 During An Mir-Bright And X-Ray-Obscured State, P. Gandhi, E.S. Borowski, J. Byrom, R.I. Hynes, T.J. Maccarone, A.W. Shaw, O.K. Adegoke, D. Altamirano, M.C. Baglio, Y. Bhargava, C.T. Britt, D.A.H. Buckley, D.J.K. Buisson, P. Casella, N. Castro Segura, P.A. Charles, J.M. Corral-Santana, V.S. Dhillon, R. Fender, A. Gurpide, C.O. Heinke, A.B. Igl, C. Knigge, S. Markoff, G. Mastroserio, M.L. Mccollough, M. Middleton, J.M. Miller, J.C.A. Miller-Jones, S.E. Motta, J.A. Paice, D.D. Pawar, R.M. Plotkin, P. Pradhan, M.E. Ressler, D.M. Russell, T.D. Russell, P. Santos-Sanz, T. Shahbaz, T. Shahbaz, G.R. Sivakoff, D. Steeghs, A.J. Tetarenko, J.A. Tomsick, F.M. Vincentelli, M. George, M. Gurwell, R. Rao

Publications

No abstract provided.

A Survey On Food Ingredient Substitutions, Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth

Publications

Diet plays a crucial role in managing chronic conditions and overall well-being. As people become more selective about their food choices, finding recipes that meet dietary needs is important. Ingredient substitution is key to adapting recipes for dietary restrictions, allergies, and availability constraints. However, identifying suitable substitutions is challenging as it requires analyzing the flavor, functionality, and health suitability of ingredients. With the advancement of AI, researchers have explored computational approaches to address ingredient substitution. This survey paper provides a comprehensive overview of the research in this area, focusing on five key aspects: (i) datasets and data sources used to …

Enhancing Inquiry-Based Science Instruction: The Role Of Professional Learning Communities And Instructional Coaching For Elementary Science Teachers, Marc T. Sager, Karen Pierce, Jessica Murillo

Publications

Inquiry-based science instruction fosters critical thinking, problem-solving, and scientific literacy by engaging students in exploration, questioning, and reflective learning. However, implementing inquiry-based practices presents significant challenges for elementary teachers, who often balance multiple subjects and may feel less confident facilitating open-ended investigations. This study examines how school-based coaching and professional learning communities (PLCs) support teachers in adopting inquiry-based science instruction. Grounded in distributed cognition theory of learning, this research draws on qualitative data from classroom observations and artifacts from coaching sessions and PLC meetings. Using a multiple case study design, this study identifies four case studies to illustrate varying levels …

Aviation Sustainability & Infrastructure, Eva Maleviti

Publications

MS Aviation & Aerospace Sustainability

What Makes The Embry-Riddle Program Unique?

► Industry-driven program
► Technology pathways
► 100% online asynchronous teaching through Canvas learning platform
► 10 courses/30 U.S. credits hours (60 ECTs) all on Aviation & Aerospace Sustainability topics
► Covers the latest trends in the industry
► Utilizes real case studies

Hydrogen Standards And Aviation Sustainability, Eva Maleviti, Evan Stamoulis, Elen Paraschi

Publications

Standards from ISO, SAE, and ASTM are essential for certification, safety, and sustainability validation.

Hydrogen Readiness In Aviation & Challenges- Technology Meets Regulation And Market Demand, Eva Maleviti

Publications

Where technology meets regulation and market demand.

C 3 An: Custom, Compact And Composite Ai Systems - A Neurosymbolic Approach: 4Th-Generation Evolution Of Intelligent Systems, Amit P. Sheth, Kaushik Roy, Revathy Venkataramanan, Venkatesan Nadimuthu

Publications

Artificial Intelligence (AI) systems continue to evolve rapidly. From the architecture perspective, it is evolving from large, monolithic models trained on massive internet data to complex, multi-component “compound” systems and “agentic” frameworks capable of semi-autonomous decision-making. These systems show immense promise yet face numerous challenges in reliability, consistency, transparency, and alignment with user goals. In this article, we propose Custom, Compact and Composite AI with Neurosymbolic (C3AN) approach, a framework that paves way to 4th-generation of AI that integrates data, knowledge, and human expertise to build robust, intelligent and trustworthy AI systems defined by 14 foundation elements.

Custom emphasizes …

Argue With Your Ai: Critically Engaging With Copilot, James Day

Publications

By now, you probably have some experience interacting with an AI chatbot. You might even have taken some training courses to learn about “prompt engineering” methods such as CO-STAR (Context, Objective, Style, Tone, Audience, Response)1 and RICCE (Relevance, Intent, Context, Clarity, Examples).2 In taking advantage of generative artificial intelligence, the focus is generally on writing that initial query. For this paper, let’s ignore advanced prompts asking for a complex analysis and consider the case where you’re simply looking for factual information.

Integrating Sustainability Into Aviation Training: Perspectives From Industry Professionals, Eva Maleviti, Sarah Talley

Publications

This paper is part of a broader research project aimed at identifying the most appropriate training materials, formats, and delivery methods for aviation sustainability content for future aviation professionals, starting from the early stages of their training. The current paper presents the data analysis and results of a short online survey targeting aviation professionals. Specifically, it provides preliminary data on sustainability perspectives from global aviation professionals. Through qualitative analysis, the creation of a baseline from a random sample of aviation professionals offers insight into their perspectives and how they could be influenced toward a more sustainable pathway. Additionally, the paper …

A Maintenance Repair And Overhaul Model For Operational Sustainability; Incorporating Processes And Risks., Linn Guinn, Mary M.H. Woody, Eva Maleviti

Publications

Maintenance, Repair, and Overhaul (MRO) companies are integral to the aviation industry, with the core responsibility of ensuring aircraft remain safe and airworthy. Their role is critical in maintaining the industry’s high standards of performance and safety. To remain competitive, MROs must provide a wide range of services—including inspections, periodic checks, engine overhauls, avionics repairs, fuselage and cabin modifications, and interior refurbishments— while consistently meeting regulatory and safety requirements. Beyond technical compliance, MROs must adopt a quality-driven, continuous improvement approach to manage risks effectively. This requires the integration of processes, programs, and systems aligned with international standards to strengthen resilience, …

Cultivating Confidence, Leila Halawi, Mark Miller, Sam Holley

Publications

Artificial intelligence (AI) is pervasive in scholarly publications, internet sites, and public discourse. AI is a term with broad scope that refers to machines that can learn and perform tasks that typically require human intelligence. The specter of AI intruding into many aspects of aviation has raised alarms, concerns, and prodigious misunderstanding of potential and contemplated applications in systems and processes. The EASA AI Roadmap (EASA, 2023 ), a linear projection with three levels EASA, 2023 extending into 2050, places the human-AI teaming period (through 2035) at Level 2. This suggests a ten-year span to develop the interactive issues to …

Embracing Ai In Higher Education: Redefining Teaching And Learning In The Digital Era, Najem Tala, Leila Halawi

Publications

This research explores the transformative potential of Artificial Intelligence (AI) in education, focusing on its ability to address emerging challenges and revolutionize teaching practices. We critically assess the current educational landscape, evaluate AI's role as a catalyst for educational reform, and examine implementation challenges. Our analysis emphasizes the evolving impact of AI on personalized learning, student engagement, and administrative efficiency and contributes to the growing body of literature on educational technology. The discussion highlights both the opportunities and limitations of AI in education, pointing to critical areas that remain underexplored.

What's The Harm In (Partisan) Gerrymandering? Collective Vs. Dyadic Accounts Of Representational Disparities, Sanford C. Gordon, Douglas M. Spencer, Sidak Yntiso

Publications

Traditional approaches for documenting the harm of gerrymandering emphasize collective representation by legislatures, minimizing the relationship between individual voters and their respective representatives. Federal courts have struggled to map collective accounts onto cognizable constitutional harms, reflecting a discomfort evaluating a system of representation inescapably rooted in geographic districts using diagnostics that treat districts and their boundaries as an inconvenience rather than an intrinsic feature. A normative account of representation and accountability rooted in the dyadic relationship between voters and their legislators addresses the exact harms that courts have articulated yet struggled to substantiate. We derive a formal model of dyadic …

Transforming Tax Expenditures, Sloan G. Speck

Publications

For decades, reformers have advocated the repeal of tax expenditures--disguised government spending through special preferences in the Internal Revenue Code. And yet, tax expenditures persist, impairing federal tax receipts by more than $1.8 trillion in 2024. This Article introduces a novel mechanism for tax expenditure reform. To the extent that direct statutory repeal proves impossible or impractical, lawmakers can achieve an equivalent result through a strategy of legislative anti-repeal. By radically expanding a tax expenditure's legal scope, then adjusting progressive income tax rates to account for revenue loss and distributional considerations, lawmakers can effectively eliminate tax expenditures from the tax …

Nist's Software Un-Standards, Bryan H. Choi

Publications

The National Institute of Standards and Technology (NIST) has become a beacon of hope for those who trust in federal standards for software and AI safety. Moreover, lawmakers and commentators have indicated that compliance with NIST standards ought to shield entities from liability. With more than a century of expertise in scientific research and standard setting, NIST would seem to be uniquely qualified to develop such standards.

But as I argue in this Article, this faith is misplaced. NIST’s latest forays in risk management frameworks disavow concrete metrics or outcomes, and solicit voluntary participation instead of providing stable mandates. That …

A Time-Dependent Spectral Analysis Of Γ Cassiopeiae, Sean J. Gunderson, David P. Huenemoerder, José M. Torrejón, Dustin K. Swarm, Joy S. Nichols, Pragati Pradhan, Richard Ignace, Hans Moritz Guenther, A.M.T. Pollock, Norbert S. Schulz

Publications

We investigated the temporal and spectral features of γ Cassiopeiae’s X-ray emission within the context of the white dwarf (WD) accretion hypothesis. We find that the variabilities present in the X-ray data show two different signals, one primarily due to absorption and the other due to flickering like in nonmagnetic cataclysmic variables. We then use this two-component insight to investigate previously unreported simultaneous XMM and NuSTAR data. The results of model fitting find WD properties consistent with optical studies alongside a significant secondary, thermal source. We propose a secondary shock between the Be decretion disk and WD accretion disk as …

Research Methodology Education In Europe: A Multi-Country, Cross-Disciplinary Survey Of Current Practices And Perspectives, Silke Kniffert, Ivan Buljan, Flavio Azevedo, Peter Babinčák, Lucija Batinović, Thomas Rhys Evans, Sara Garofalo, Christopher Graham, Lucianne Groenink, Malika Ihle, Milosav Klugar, Lucia Kočišová, Michal Kohút, Nikolaos Kostomitsopoulos, Seán Lacey, Anita Lunić, Ana Marušić, Thomas Nordström, Charlotte R. Pennington, Daniel Pizzolato, Ulf Toelch, Marta Topor, Miro Vuković, Michiel R. De Boer

Publications

Background

Research methodology education aims to equip students with the foundational knowledge of robust scientific practices, emphasizing deep understanding of scientific inquiry, integrity, and critical thinking in research practice. A literature review reveals that the observed diversity in research methods course design and instruction stems from a lack of consensus about the essential foundations required to critically engage with, design, and execute research in education. This is further compounded by a limited pedagogical innovation. However, no study has yet investigated how research methodology is taught and perceived across European universities. The objective of this study is to examine practices and …

Mapping Learning In Higher Education: The Embedding Content Across Academic Programmes Toolkit, John Pierce, Mary Beades, Andrew Shields

Publications

The growing diversification of teaching roles in higher education and the siloed nature of semesterised programmes can inhibit quality teaching and learning. This paper introduces the Embedding Content Across Academic Programmes Toolkit (ECAAPT), a practical model for mapping and tracking embedded content across modules, semesters, and years within higher education programmes that can ease the administrative burden of curricular mapping and change on academics teaching in the sector. Originally developed with a focus on tracking student academic literacies, this model has also been adapted and shown value in mapping and tracking other content, such as graduate attributes, feedback, assessment strategies, …

Corporate Climate Targets: Science, Discretion, And Climate-Washing, Nadav Orian Peer

Publications

The use of corporate climate targets has exploded in recent years and now encompasses many of the world's largest and most profitable companies. In a corporate climate target, a company voluntarily commits to reducing its emissions in line with climate science and the Paris Agreement. The broad adoption of these targets raises important questions: are these commitments truly aligned with science in the way they are advertised, or do they raise "climate-washing" concerns; i.e., do they exaggerate the benefits and significance of the climate targets? This Article investigates the role that science actually plays within targets and explores different types …

Structural Tax Reform And The Next Reit Revolution, Sloan G. Speck

Publications

No abstract provided.

Pulse-Profile Modeling And Spin–Orbit Alignment In A Suzaku Sample Of Accreting X-Ray Binary Pulsars, Silas G.T. Laycock, Rigel C. Cappallo, Pragati Pradhan, Dimitris M. Christodoulou, Biswajit Paul

Publications

We report pulse-profile modeling of a sample of 23 X-ray binary pulsars observed with the Suzaku X-ray satellite. These pulsars have spin periods ranging from 0.7 to 9400 s, and their X-ray emission is powered by the accretion from their stellar companions. We fitted each individual pulse profile with the Polestar geometric model, which accounts for X-ray emission from two hot spots modeled as a simple combination of fan+pencil beam components, including an approximation for gravitational light bending. In 14 of 21 cases, our measurements of the inclinations of the pulsar spin axes broadly agree with the corresponding inclinations of …

Investigation Of A Busemann Intake At Negative Angle Of Attack, Mark E. Noftz, Andrew N. Bustard, Nicholas J. Bisek, Thomas J. Juliano, Joseph S. Jewell

Publications

A high-speed, shape-transitioned, inward-turning intake was tested in Purdue’s Boeing/AFOSR Mach 6 Quiet Tunnel. The inlet model, called the Indiana Inlet (INlet), had a total contraction ratio of 4.68:1 and a design point of Mach 6 at 0° angle of attack. The model was outfitted with a suite of high-frequency pressure transducers, and the external flowfield was imaged with high-speed schlieren photography. The INlet was tested under low freestream disturbance levels for a variety of freestream unit Reynolds numbers and at-4° angle of attack. An unsteady shockwave near the leading edge of the inlet forebody, indicative of boundary layer separation, …

Exploring The Role Of Boundary Infrastructures In Facilitating Learning In A Research-Practice Partnership, Jody Clarke-Midura, Alireza Zandi, Mimi Recker

Publications

This study examines how boundary infrastructures in Research-Practice Partnerships (RPPs) facilitate learning and collaboration between a rural school district and two universities. Using the Learning at the Boundaries framework, we analyze design team meetings, teacher feedback, and co-designed curricular materials. Our findings highlight the roles of boundary spanners, practices, and objects in bridging gaps among stakeholders and fostering sustainable collaboration. This research contributes to the learning sciences by documenting effective processes for organizational learning, emphasizing the importance of structured co-design in educational improvement.

Multicultural Perspectives On Building Instructional Capacity For Multilingual Learners: Synergy Of Teachers, Community Members, And Academics, Mihaela M. Gazioglu, Emily W. Howell, Lindsey W. Rowe, Victoria Pennington, Nicole C. Ferguson-Sams, Kavita Mittapalli, Amlan Banerjee

Publications

This design-based research study explored the feedback process, resulting actions, and changing instructional perspectives involving teachers, community members, and researchers leading to enhanced professional development offered to K-12 teachers of multilingual students. Specifically, the feedback from a community advisory council and teachers significantly shaped researchers’ approaches to designing and adapting a literacy course to address the needs of multilingual students’ caregivers. The findings underscore the importance of a holistic approach to professional development and highlight the multicultural perspectives that academics can discover by involving both community stakeholders and teachers in promoting impactful practices for multilingual learners.

Detection Of The Orbital Modulation Of Fe Kα Fluorescence Emission In Centaurus X-3 Using The High-Resolution Spectrometer Resolve On Board Xrism, Yuto Mochizuki, Masahiro Tsujimoto, Richard L. Kelley, Bert Vander Meulen, Teruaki Enoto, Yutaro Nagai, Chris Done, Pragati Pradhan, Natalie Hell, Katja Pottschmidt, Ken Ebisawa, Ehud Behar

Publications

The Fe Kα fluorescence line emission in X-ray spectra is a powerful diagnostic tool for various astrophysical objects to reveal the distribution of cold matter around photoionizing sources. The advent of the X-ray microcalorimeter on board the XRISM satellite will bring new constraints on the emission line. We present one of the first such results for the high-mass X-ray binary Centaurus X-3, which is composed of an O-type star and a neutron star (NS). We conducted a 155 ks observation covering an entire binary orbit. A weak Fe Kα line was detected in all orbital phases at an equivalent width …

Predicting Chaotic Systems With Quantum Echo-State Networks, Erik Connerty, Ethan N. Evans, Gerasimos Angelatos, Vignesh Narayanan

Publications

Recent advancements in artificial neural networks have enabled impressive tasks on classical computers, but they demand significant computational resources. While quantum computing offers potential beyond classical systems, the advantages of quantum neural networks (QNNs) remain largely unexplored. In this work, we present and examine a quantum circuit (QC) that implements and aims to improve upon the classical echo-state network (ESN), a type of reservoir-based recurrent neural networks (RNNs), using quantum computers. Typically, ESNs consist of an extremely large reservoir that learns high-dimensional embeddings, enabling prediction of complex system trajectories. Quantum echo-state networks (QESNs) aim to reduce this need for prohibitively …

Multicultural Perspectives On Building Instructional Capacity For Multilingual Learners: Synergy Of Teachers, Community Members, And Academics, Mihaela Gazioglu, Emily Howell, Lindsey W. Rowe, Victoria Pennington, Nicole Ferguson-Sams, Kavita Mittapalli, Amian Banerjee

Publications

This design-based research study explored the feedback process, resulting actions, and changing instructional perspectives involving teachers, community members, and researchers leading to enhanced professional development offered to K-12 teachers of multilingual students. Specifically, the feedback from a community advisory council and teachers significantly shaped researchers’ approaches to designing and adapting a literacy course to address the needs of multilingual students’ caregivers. The findings underscore the importance of a holistic approach to professional development and highlight the multicultural perspectives that academics can discover by involving both community stakeholders and teachers in promoting impactful practices for multilingual learners.