Digital Commons Network^™

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.

La Emboscada Postpoética De Agustín Fernández Mallo: Física, Cognición, Contemporaneidad, Entropía, Candelas Gala

Purdue Studies in Romance Literatures

La emboscada postpoética de Agustín Fernández Mallo: física, cognición, contemporaneidad, entropía analyzes the poet’s proposal to rescue, with his Postpoetry, official poetry from its sclerotic stagnation due to its fidelity to worn-out premises, to recover a language connected with matter, and to renew its cognitive value. By means of byways (or drifting) through different disciplines, Postpoetry shares space with television, pop music, videos, the Internet, cinema, the arts, publicity, and the sciences, physics in particular. Postpoetry illuminates the intersection between the tranquility that tradition provides and the disquiet that comes with novelty. There is an ambush because, like Odysseus with …

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 …

Tutorial: A Guide To Getting Started With The Clinical Fellowship Experience, Christi Masters, Mariel L. Schroeder

Department of Speech, Language, and Hearing Sciences Faculty Publications

Purpose:

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 …

Reviewing The Need For Subject-Specific Regional Professional Development Opportunities For Business Librarians, Annette Bochenek, Heather A. Howard

Libraries Faculty and Staff Scholarship and Research

This paper reviews the need for regional professional development opportunities for business librarians, examining the benefits and drawbacks that business librarians experience when attending national, subject-specific, and regional conferences, from the perspective of the creators and organizers of the Midwest Business Librarian Summit (MBLS). Using information gained regarding what benefits librarians seek when considering conference attendance as well as the obstacles or challenges experienced, this paper offers information about extant regional conferences for business librarians as well as suggestions for developing an in-person, subject-specific regional conference targeted toward business librarians.

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, …

Social Networks And The Demand For Credence Agricultural Technologies, Yurani Arias-Granada, Jonathan Bauchet, Jacob Ricker-Gilbert, Kajal Gulati

Department of Agricultural Economics Faculty Publications

Little is known about the adoption of agricultural technologies that enhance unobservable attributes, such as food quality and food safety. Social networks can potentially be a key tool to disseminate information about such technologies, because informal discussions among network members could counter the lack of observability and awareness of the benefits of such technologies. To inform this issue, we conducted a field experiment that included experimental auctions and a lottery to estimate how social networks influence the demand for Aflasafe, a new food safety-enhancing technology, among smallholder farmers in Senegal. Aflasafe is an agricultural input that controls aflatoxins, which are …

A Deep Learning Framework With Explainable Ai For Atmospheric Blocking Detection And Interpretation, Devansh Khandelwal

Discovery Undergraduate Interdisciplinary Research Internship

Atmospheric blocking is a large-scale quasi-stationary phenomenon in mid-latitude circulation, characterized by persistent high-pressure systems that disrupt the typical west-to-east flow of the jet stream. These systems can cause extreme weather events—such as heatwaves, cold spells, or droughts—that persist for days or even weeks. This study proposes a deep learning framework to predict and interpret the occurrence of atmospheric blocking by integrating geophysical precursors such as geopotential height (Z500), stream function (SF200), and potential vorticity. These features, which are dynamically linked to blocking onset and persistence, serve as inputs to a Convolutional Neural Network model trained on the CESM Large …

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 …

Turning The Tables With Tech: Scambaiting Tools And Their Applications, Doetri Ghosh, Tatiana Renae Ringenberg

Discovery Undergraduate Interdisciplinary Research Internship

Online financial scams have become increasingly complex, utilizing fake social media accounts, remote access tools, deepfake recordings, and other advanced scamming tactics. In response, a growing community of scambaiters have matched this technological sophistication, in their efforts to disrupt the scam ecosystem. Various tools are used throughout scambaiting sessions, where proper use of technology is essential for success. Limited research exists on the changing needs and tools involved in scambaiting. This study bridges this gap by conducting an exploratory qualitative analyses of 250 posts from the Reddit group r/Scambait. We explore various aspects of technology use, specifically looking into recommendations …

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 …

Supporting Personal, Familial, Academic, And Community Assets In Latino Youth Through Connectedness, Lindley Mcdavid, Heather Vondielingen, Casey D. Mull

ELRC Presentations

During adolescence, many families begin preparing for their child’s transition to adulthood by focusing on their academic success. Families from Latino backgrounds who live in rural counties often lack the resources and have limited access to community supports to help their child successfully navigate this developmental period. Community-based organizations can support Latino families by building their students’ academic skills and awareness in a learning environment designed to foster belongingness at school, at home and in their community. To understand how programs strive to build these assets, eleven program leaders from an academic success program, who were primarily female (n = …

Building Elementary Student Science Skills And Interest: A Reciprocal Engagement Partnership, Lindley Mcdavid, Sandra F. San Miguel

ELRC Presentations

Scholar-practitioner partnerships grounded in community engagement principles focus on mutually beneficial relationships that meet critical community needs while integrating learning, discovery and service. Our research aims to identify how and the degree that a physical activity-based science learning program contributes to students’ science learning and interest while aiming to support the overall wellbeing of a community elementary school that serves families from under resourced (98% free/reduced lunch) and diverse racial and ethnic backgrounds (48% non-white). Partner school teachers and staff members were invited to participate in an interview where they answered questions about their perspectives and experiences with the program …

Impact Flc Report Spring 2025: A Report By The Impact Evaluation Team, Evaluation And Learning Research Center, Impact Evaluation Team

IMPACT Reports

This is the 2025 Spring report of Instruction Matters: Purdue Academic Course Transformation (IMPACT) Week. IMPACT was created in 2010, and is a large collaborative initiative on the Purdue West Lafayette campus involving multiple key partners across campus including the Office of the Provost, Center for Instructional Excellence (CIE), Purdue Online (PO), Purdue Libraries and School of Information Studies (Libraries), the Evaluation and Learning Research Center (ELRC), and Institutional Data Analytics and Assessment (IDA+A). IMPACT works with instructors to redesign large enrollment, foundational courses with the aim of engaging students more fully in their learning and creating a more student-centered …

Employing A Longitudinal Study Design In A Post-Conflict Zone: Strategies And Lessons Learned From The Field, Asia Mohamed Mohamud, Jennifer Sdunzik, Wilella D. Burgess, Abdirisak Dalmar, Mohamed Jimale

Somalia Education Evaluation Publications

Longitudinal methodology is a powerful study design that focuses on processes and patterns of change; yet it is rarely deployed in research to understand post-conflict circumstances. This article describes experiences and lessons learned from a longitudinal study of an education intervention programme in a post-conflict setting. It illustrates both challenges and successful mitigation strategies for conducting a longitudinal study in a fragile and demanding research environment. Our study identified both methodological (participant recruitment, attrition, contextual variability, instrument modifications and record-keeping) and contextual (community, environmental, security and civil perturbations) challenges that impact longitudinal studies in post-conflict societies. By describing the challenges …

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 …

Methodology For Environmental Toxicology: Assessing Feeding And Rearing Strategies In Largemouth Bass (Micropterus Nigricans) Larvae, Amber Hitchins, Hannah Mcneese, Deise Cruz, Andrew Todd, Maria Sepúlveda, Tyler Hoskins

Discovery Undergraduate Interdisciplinary Research Internship

Poly- and perfluoroalkyl substances (PFAS) are an anthropogenic group of chemicals known for their persistence in the environment and their potential to bioaccumulate. PFAS can bioaccumulate in largemouth bass (Micropterus nigricans), yet the effects of exposure on bass larvae are unknown. While largemouth bass are commonly raised for aquaculture, techniques for rearing bass which enable controlled experiments at known densities, a necessity for toxicity studies, are poorly understood. Furthermore, the live prey typically used in existing approaches are not suitable for PFAS studies due to high background concentrations. The objective of this project was to assess different venues …

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 …

Transnational Politics Of Cambodian American Ethnic Organizations: Strategies, Motivations, And Impacts, Simin Tan, Wen Chen

Journal of Southeast Asian American Education and Advancement

Since several large-scale migrations to the U.S. in the 1970s, Cambodian Americans have established a number of ethnic organizations aimed at intervening in the political landscape of their homeland. These organizations span from subversive groups seeking to overthrow the Cambodian government through armed insurgency to reformist groups advocating for human rights improvements and peaceful political transformation. The refugee experiences of first-generation Cambodian Americans have served as a key motivator for their involvement in transnational politics, while the degree of social integration shapes the extent to which different generational cohorts engage in these political activities. In addition, both the Cambodian government’s …

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 …

Ai-Based Walkability Ecosystem: A Personalized, Social And Adaptive Solution To Urban Mobility And Public Health, Diya Singh, Gaurav Nanda, Xinran Lehto, Elizabeth A. Richards, Mark R. Lehto, Jaeil Lee

Discovery Undergraduate Interdisciplinary Research Internship

Urban environments pose significant barriers to physical activity and public health, often due to a lack of motivation, insufficient adaptability to environmental factors, the uniformity of features in existing fitness apps, and limited opportunities for meaningful interpersonal interaction. This project proposes an AI-powered Walkability Assistant — a mobile application designed to foster healthier, more active lifestyles by addressing these challenges through personalized, adaptive, and community-oriented solutions. This project adopts two research methods—text mining and open-ended surveys—to identify latent user needs and areas for improvement in walkability applications. We conducted large-scale text mining and analyzed over two million user reviews from …