Digital Commons Network^™

A Test Rig For An Aircraft Propeller Powered By Battery Motor, C. M. Vigneswaran, J. Induja, K. S. Bharath, M. J. Spoorthi, R. Chethana

Journal of Aviation Technology and Engineering

The propeller test rig is a crucial component in aeronautical engineering that plays a vital role in the development, testing, and optimization of propeller systems for aircraft. This research outlines the design, development, and performance evaluation of a state-of- the- art propeller test rig developed for research and testing purposes. The primary objective of this project is to enhance the understanding of propeller dynamics and efficiency, leading to the improvement of aircraft propulsion systems. The test rig provides a controlled environment to evaluate and compare multiple propeller designs, aiding engineers in making informed decisions during the design process. An advanced …

A Framework For Test Planning Of A Vision System Supporting Aerial Refueling, Jonathon K. Parry, Donald H. Costello, Michael D. M. Kutzer, Charles J. Doherty, Sarah M. Hubbard

Journal of Aviation Technology and Engineering

This essay presents a framework for evaluating a computer vision system providing perception for an uncrewed aircraft completing the automated air-to-air refueling (A3R) task. As the Department of Defense acquires capabilities that exhibit increasing levels of autonomy, the test and evaluation community must adapt the current framework to provide airworthiness officials the information required to accurately access the risks associated with the system underdoing testing. Following a brief introduction to A3R, this essay lays out a testing framework that leverages dendritic analysis and effectively deconstructs the critical issue into measurable data elements that can be used to support test and …

Korea’S Unification: Unifying Visionary Leadership, Paul Hong

KAUPA Letters

This third essay highlights the critical role of unifying visionary leadership in advancing Korea’s unification—a goal that cannot be achieved through policy frameworks or economic integration alone. While shared history, language, and culture provide the foundation for national unity, it is bold and ethical leadership that transforms these foundations into strategic action and reconciles entrenched ideological and institutional divides. A brief analysis of prominent figures in Korean history—Dangun, Kim Choonchu, Wang Geon, Yi Seong-gye, King Sejong, Yi Sun-sin, Kim Gu, Syngman Rhee, and Park Chung-hee—reveals recurring leadership traits such as moral authority, long-term vision, cultural stewardship, and inclusive governance. These …

Korea At The Crossroads: Steering Between Two Paths In The New Global Trade Order, Paul Hong

KAUPA Letters

Korea stands at a pivotal crossroads in global trade, caught between the twin forces of rising protectionism and the emergence of a multipolar economic order. Once a major beneficiary of U.S.-led free trade, its export-driven growth thrived under predictable rules and open markets. That stability is now eroding as the United States shifts toward protectionism—driven by mounting debt, persistent trade deficits, and the burdens of overextended global commitments—through tariffs, reshoring incentives, and strategic restrictions on key sectors like steel, semiconductors, and electric vehicles. These measures have disrupted Korea’s supply chains, complicated market access, and heightened uncertainty, even as China’s economic …

A Certainty-Based Approach To Implementing Zero Trust Architecture Using Nist Sp 800-207 And Nist Sp 1800-35, Young B. Choi

KAUPA Letters

This paper proposes a certainty-based methodology for implementing the Zero Trust Architecture (ZTA) as defined in NIST SP 800-207 and NIST SP 1800-35 (NIST, 2020; NIST, 2025). By applying a probabilistic model that quantifies the certainty of security-related facts, the proposed approach enhances decision-making for access control and security policy enforcement. This method utilizes major security databases to assess and compute certainty of facts, thereby improving the resilience, adaptability, and accuracy of Zero Trust systems (Liu, Chandramouli, & Kuhn, 2020).

Purdue University Entrepreneurship And Innovation Resources, Alicia South-Hurt, Purdue University Office Of Research

University General Facility Boilerplate Descriptions

Overview of entrepreneurial and technology transfer resources, initiatives, and infrastructure at Purdue University.

A Technical And Statistical Analysis Of Unleaded Aviation Fuel (Ul94) Adoption In A High- Volume Collegiate Aviation Environment, Nicholas D. Wilson, Ryan Guthridge, Brandon Wild, Jeremy Roesler, Daniel Kasowski, Nick Geinert, Aaron Terbest, Aaron Fettig, Robert Kraus

Journal of Aviation Technology and Engineering

The University of North Dakota (UND) adopted unleaded aviation fuel (UL94) for approximately a four-month period in the summer and early fall of 2023. The UL94 fuel was used in all reciprocating engine fleets based at the university’s primary training airport, Grand Forks International Airport in North Dakota. During the operational implementation of UL94, the UND flew 46,600 flight hours, consuming 386,778 gallons of fuel across all fleets powered by Lycoming engines. After approximately two months of using UL94, operational reports and maintenance inspections began to indicate potential for exhaust valve seat recession (EVSR), although early indications were limited in …

Contributing Factors To Low Airspeed On Climb-Out As A Precursor To Loss Of Control In Flight, Owen D. Poborsky

Journal of Aviation Technology and Engineering

The nature of aviation is not without inherent risk. Conducting training flight operations increases these inherent risks. Flight data monitoring and voluntary safety action programs seek to reduce risk, as seen in their success at commercial airlines. These successes are slowly permeating into general aviation through programs such as the National General Aviation Flight Information Database (NGAFID). The NGAFID is a program funded by the Federal Aviation Administration that allows general aviation operators to have the ability to collect and share de-identified flight data on an aggregate level to identify trends and increase safety margins during flight operations. This study …

Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke

Journal of Aviation Technology and Engineering

Technological innovation has had an enormous effect on safety in aviation. However, in Part 135 operations, where technology is not as ubiquitous, the accident rates have plateaued. Human error is constantly misrepresented as being responsible for 70–80 percent of accidents, when it is clearly only one of several contributing factors. In commercial aviation, all accidents should be considered organizational failures, because by definition all defensive layers have been breached. Organizational failure, as it affects safety, should be identifiable and predictable from organizational behavior. Inevitably, in the aftermath of accidents the warning signs of poor behavior are seemingly obvious, yet there …

Examining The Relationship Between Artificial Intelligence And Disability, Luke Abell, Ben Anderson, Andres Arbulu, Cailyn Bowerman, Ethan Brown, Logan Busch, Eliana Chinitz, Shaan Choksi, Charles Clark, Alexander Claure, Meaghan Crites, Amalia Daniell, Stephen Dombrowski, Clara Dotterer, Jordyn Fink, Jake Fox, Akanksha Garg, Ishaan Ghosh, Cristian Gorayeb, Lia Gosselin, Simon Hasik, Alexis Hawkins, Charles Dickerson Iv, Chistopher Johnson, Cj Kulprathipanja, Claire Lindborg, Josh Lorenz, Luke Mcdonald, Daniella Nahnsen, Arwa Neemuchwala, Sage Nichols, Henrique Ortega, Krish Patel, Daniel Paul, Andres Ravelo, Daniel Reyes, Francesca Rovetto, Santiago Sacchini, Juan Santos, Mauricio Saturno, Carter Schaffer, Joey Schlosser, Anna Scroggings, Dylan Smith, Daniel Tejeira, Kenny Teng, Diya Tibrewala, Max Young, Robert Zeltsman, Bradley S. Duerstock, Maxwell Mensah

Undergraduate Coursework

No abstract provided.

Flowing Progress: Transforming The Danube Through Infrastructure, Stefan Dorondel, Luminita Gatejel

Central European Studies

Flowing Progress: Transforming the Danube Through Infrastructure focuses on how different political regimes and forms of governance have imagined and technologically transformed the most international river in the world. Multidisciplinary and drawing on methodologies of history, anthropology of infrastructure, and science, technology, and society, this collection explores the tensions between the river and its natural pulses, the humans that populate its floodplains, state agencies, and infrastructure. The book engages the concept of disturbance to point out the circular and spiraling dynamics between hydrological processes and technopolitical and economic practices. Disturbance denotes a specific type of long-term dynamic between human attempts …

Enhanced Global Oil Spill Dataset From 1967 To 2023 Based On Text-Form Incident Information, Yiming Liu, Zhuoli Yin, Hua Cai

The School of Sustainability Engineering and Environmental Engineering (SEE) Faculty Publications

Knowing how much oil was released into the environment in each incident is critical to studying the environmental, ecological, and economic impacts of oil spills. However, the release amounts (RAs) for numerous oil spill incidents remain unavailable in a structured format for large-scale analysis. The most extensive global oil spill database, managed by NOAA’s Office of Response and Restoration, only documents the worst-case scenario estimations in the machine-readable dataset, while more accurate values are embedded within unstructured incident descriptions and subsequent updates. To enhance the dataset with more accurate RAs, we developed a framework to extract the actual RAs from …

From Policy To Pedagogy: Applying Infodemic Governance To Instructional Design, Bethany S. Mcgowan

Libraries Faculty and Staff Scholarship and Research

This article presents a Delphi study that defines key ethical and regulatory principles underpinning Finland’s national strategy for managing infodemics. Drawing on three rounds of consultation with Finnish experts from health, policy, and library sectors, the study surfaces foundational elements of national infodemic management—including transparency, accountability, inclusion, and adaptability—as well as gaps in digital equity, curricular responsiveness, and cross-sector collaboration. These expert-defined priorities are analyzed alongside the World Health Organization’s Infodemic Management Agenda, which serves as a pedagogical scaffold for identifying instructional tensions in health information literacy education. Findings are further interpreted through four information diplomacy anchors: agenda-setting, persuasive framing, …

Fourier-Feature Mlp Toolkit For Gpu-Accelerated Cardiac-Mri 4dcmr Strain Analysis, Aarnav T. Sabale, Marco A. Prado, Craig J. Goergen

Discovery Undergraduate Interdisciplinary Research Internship

This paper explores the embedding of a Fourier-Feature—enhanced multiplayer perceptron(MLP-FEE) at the heart of a newly refactored python workflow for four-dimensional cardiac-MRI strain quantification demonstrating how a single, compact network can outperform traditional convolution and spline-based methods. The original code, capable of orientation normalization, displacement tracking, and finite-difference strain computation, has been translated and consolidated into pytorch. By injecting sinusoidal positional encodings at the network’s input layer supplied a rich set of high-frequency basis functions hence enabling multilayer MLP to resolve gradients that cubic splines and conventional CNNs typically blur or struggle with. Profiling on an Apple-silicon GPU shows interactive …

Crop Yield Prediction At Multiple Spatial Scales With Statistical Machine Learning, Vaibhav Charan, Pratishtha Poudel

Discovery Undergraduate Interdisciplinary Research Internship

Understanding and accurately predicting crop yield is becoming increasingly important today in the face of global food security challenges, and thus, the availability of standardized data and scalable models is the need of the hour. To support this, researchers have developed CY-Bench (Crop Yield Benchmark), a comprehensive dataset that helps forecast maize and wheat yields on a global scale. This research project primarily involved working with the CY-Bench dataset aiming to improve crop yield prediction through machine learning. Initially, papers explaining the CY-Bench dataset and other papers for agriculture modeling were studied and analyzed in detail. The research then progressed …

Utilizing Wearable Technology To Improve Pots Diagnostic Testing, Monique Watson, Damen Wilson, Matthew Ward

Discovery Undergraduate Interdisciplinary Research Internship

Postural orthostatic tachycardia syndrome (POTS) is a form of dysautonomia characterized by a heart rate (HR) increase ≥30 beats/minute (bpm) within 10 minutes of standing from a supine position, without a significant blood pressure drop. POTS can diminish quality of life with symptoms including tachycardia, headaches, and fatigue. Despite established diagnostic criteria, POTS is often underrecognized or misdiagnosed due to its episodic nature. Symptoms may not consistently be present during diagnostic testing, leading to false negatives during in-office testing. Wearables offer a promising solution through continuous physiological monitoring. Individuals with hypermobile Ehler-Danlos Syndrome (hEDS), a population in which POTS is …

How Do Acoustic Indices Serve As Proxy Of Temperate Forests And In Relation To Presence Of Bobcat (Lynx Rufus) In Central Indiana Habitats, Faith Mcphee, Kristen Bellisario Dr.

Discovery Undergraduate Interdisciplinary Research Internship

Central Indiana is largely dominated by agriculture which has led to numerous historical extirpations of mammals. The bobcat (Lynx rufus) is slowly re-establishing across northern Indiana after near extirpation in the early 1900s and utilizes corridors similar to extirpated mammals. Bobcats as a focal species can serve as an indicator for habitat quality for future designated wildlife corridors. New metrics have emerged from species monitoring through remote sensing technologies such as eco-acoustic indices which summarize sound profiles, are a potential proxy for biodiversity, and could be utilized in monitoring large mammals. Here, we investigate the relationship between Lynx …

Improving Echocardiographic Aortic Aneurysm Assessment In Marfan Syndrome Patients, Joshua Paik, Shubh P. Mehta, Samskrithi Sivakumar, Felix Dinklage, Ahhyun Lee, Benjamin J. Landis, Craig J. Goergen

Discovery Undergraduate Interdisciplinary Research Internship

Marfan syndrome (MFS) is a genetic connective tissue disorder caused by a variant of the fibrillin-1 (FBN1) gene, leading to abnormalities in organs reliant on tissue elasticity. Proximal thoracic aortic aneurysms (TAAs) are a major clinical concern, particularly in pediatric MFS patients, due to their risk of dissection or rupture. Diagnosis and monitoring of TAAs often depend on manual measurements of aortic root diameters from the parasternal long axis views of transthoracic echocardiograms. However, this method is prone to interobserver variability (IOV), which impacts consistency in clinical assessment. To mitigate these limitations, we developed a graphical user interface (GUI) that …

Non-Destructive Strength Monitoring Of Air-Entrained Concrete Via Electromechanical Impedance Technology, Xiangrui Kong, Rui He

Discovery Undergraduate Interdisciplinary Research Internship

Accurate monitoring of concrete strength during curing is crucial, particularly in regions subject to harsh weather conditions, such as freeze-thaw cycles in Indiana. Air entrainment is crucial for durability, yet it can significantly reduce concrete strength, making timely and precise strength assessments vital. The primary objective of this study is to develop a non-destructive and real-time monitoring framework for evaluating mortar strength using electromechanical impedance (EMI) sensors and ultrasonic scanning technology.

This research holds significant value as it addresses the critical need for continuous, reliable concrete strength monitoring, potentially reducing reliance on destructive testing methods, which are costly and time-consuming. …

Unveiling Food Waste Patterns At Purdue University, Katherine S. Chiparus, Abigail S. Engelberth, Valentina Negri, Louis Tay

Discovery Undergraduate Interdisciplinary Research Internship

Ever wondered how much food waste is generated at Purdue University—or how we compare to other Big Ten schools? This project aims to both evaluate existing practices and behaviors across major universities, and administer a survey to collect data on Purdue’s campus. AI-assisted photo deconstruction and demographic data collection is used to analyze Purdue’s food waste composition and behavior patterns. Concurrently, a comparative analysis of food waste strategies - including categorization of effectiveness, reach, and transparency of waste management efforts while focusing on composting, diversion programs, and dining hall operations - across Big Ten institutions was conducted. To date, the …

Discovering And Designing Novel Perovskite Photovoltaic Materials Via Machine Learning, Junyeong Ahn

Discovery Undergraduate Interdisciplinary Research Internship

Perovskite semiconductors are promising materials for high-efficiency photovoltaics due to their outstanding optoelectronic properties, emerging as a sustainable energy source through solar cell applications. Perovskites with the ABX₃ composition (A, B = metal or organic cations with varying oxidation states; X = chalcogen or halogen anions) have gained interest for their excellent phase stability and compositional tunability. However, combinatorial possibilities arising from the many choices of A, B, and X site species, and their respective mixing fractions, a large number of possible ABX₃ perovskites remain undiscovered. In this work, we used machine learning (ML) methods to design new stable and …

Sex-Dependent Differences In Cardiac Function And Strain In Doxorubicin-Induced Cardiomyopathy, Anna J. A. Webb, Bea O. Cabot, Aasish Chowdary, Wilhelm S. Smith, Benjamin Zeidler, Cortland H. Johns, Craig J. Goergen

Discovery Undergraduate Interdisciplinary Research Internship

Doxorubicin is a chemotherapeutic agent used to treat many types of cancer. While effective, doxorubicin can cause cardiomyopathy, a disease affecting the heart muscle. Although the effects of doxorubicin on the heart are well studied, the mechanisms leading to cardiomyopathy are not well understood. Previous studies have used murine models to study the cardiotoxicity of doxorubicin. These reports showed that cardiac dysfunction is more pronounced in male compared to female mice. The goal of this study is to further evaluate sex differences in doxorubicin induced cardiomyopathy using 4-dimensional strain mapping techniques. In this study, both female and male C57Bl/6J mice …

Is There A More Effective Design For Quadrat To Increase Ease Of Use And Vegetation Density?, Scott M. Burke Jr., Kristen M Bellisario

Discovery Undergraduate Interdisciplinary Research Internship

Quadrats are a special tool in the ecology field that allows the measurement of vegetation density for further data analysis of a habitat. The larger the quadrat cross-sectional area, the better the results of the data, which in turn can make the quadrat hard to carry through field sites. In wildlife corridor research, quadrat surveys provide a quantitative metric for habitat suitability. In this work, we consider the efficiency and ease-of-use benefits for field work in the design of a collapsible version of a quadrat using a House of Quality (standard metric for new design requirements) to assess the customer …

A Dna Damage Analysis Of Breast Cancer Cells Under Cyclic Mechanical Actuation, Maria C. Macias, Madison Howard, Luis Solorio

Discovery Undergraduate Interdisciplinary Research Internship

Metastasis is the leading cause of mortality in breast cancer, yet tumor cell behavior and their response to mechanical cues in the pre-metastatic niche remains poorly understood. This study investigates how breast cancer cells respond to strain mimicking lung tissue dynamics, with a focus on DNA damage. Using a custom-designed micro-actuating lung model, we cultured mApple at p53BP1 and H2B-GFP reporter cells on fibrillar fibronectin-coated substrates subjected to cyclic mechanical forces that simulate respiratory motion. A group of cells were treated with escalating concentrations of Niraparib (0.1–10 µM), a PARP inhibitor, as a positive control. To visualize and quantify DNA …

Photocatalytic Self-Pumping Membranes, Lily D. Farmer, David Warsinger, Sudharshan Anandan

Discovery Undergraduate Interdisciplinary Research Internship

The physics of nanofiltration is not well understood, as many types of membranes and filters exist, but they all interact very differently with the substance they are filtering. This research investigates membranes that can autonomously pump fluid through catalytic reactions. The first set of experiments was to collect zeta potential measurements as zeta potential is a critical property that directly affects fluid transport. Zeta potential was measured using the Anton Parr SURPASS 3, which measures the sample by streaming a given solution through a channel of membranes and uses the Smoluchowski equation to return the zeta potential value. Measurements were …